bluuebunny/crossref_metadata_2025 huggingface dataset:
Power Load Forecast Based on CS-LSTM Neural Network
Authors: Han Lijia , Wang Xiaohong , Yu Yin , Wang Duan
Published: May 2024

Load forecast is the foundation of power system operation and planning. The forecast results can guide the power system economic dispatch and security analysis. In order to improve the accuracy of load forecast, this paper proposes a forecasting model based on the combination of the cuckoo search (CS) algorithm and the long short-term memory (LSTM) neural network. Load data are specific data with time series characteristics and periodicity, and the LSTM algorithm can control the information added or discarded through the forgetting gate, so as to realize the function of forgetting or memorizing. Therefore, the use of the LSTM algorithm for load forecast is more effective. The CS algorithm can perform global search better and does not easily fall into local optima. The CS-LSTM forecasting model, where CS algorithm is used to optimize the hyper-parameters of the LSTM model, has a better forecasting effect and is more feasible. Simulation results show that the CS-LSTM model has higher forecasting accuracy than the standard LSTM model, the PSO-LSTM model, and the GA-LSTM model.
Characterization of Nonlinear Mixed Bi-Skew Lie Triple Derivations on ∗-Algebras
Authors: Alsuraiheed Turki , Nisar Junaid , Rehman Nadeem ur
Published: May 2024

This paper concentrates on examining the characterization of nonlinear mixed bi-skew Lie triple ∗- derivations within an ∗-algebra denoted by A which contains a nontrivial projection with a unit I. Additionally, we expand this investigation to applications by describing these derivations within prime ∗-algebras, von Neumann algebras, and standard operator algebras.
Cooperative Vehicle Infrastructure System or Autonomous Driving System? From the Perspective of Evolutionary Game Theory
Authors: Bai Wei , Wen Xuguang , Zhang Jiayan , Li Linheng
Published: May 2024

In this paper, we explore the trade-offs between public and private investment in autonomous driving technologies. Utilizing an evolutionary game model, we delve into the complex interaction mechanisms between governments and auto manufacturers, focusing on how strategic decisions impact overall outcomes. Specifically, we predict that governments may opt for strategies such as constructing and maintaining infrastructure for Roadside Infrastructure-based Vehicles (RIVs) or subsidizing high-level Autonomous Driving Vehicles (ADVs) without additional road infrastructure. Manufacturers’ choices involve deciding whether to invest in RIVs or ADVs, depending on governmental policies and market conditions. Our simulation results, based on scenarios derived from existing economic data and forecasts on technology development costs, suggest that government subsidy policies need to dynamically adjust in response to manufacturers’ shifting strategies and market behavior. This dynamic adjustment is crucial as it addresses the evolving economic environment and technological advancements, ensuring that subsidies effectively incentivize the desired outcomes in autonomous vehicle development. The findings of this paper could serve as valuable decision-making tools for governments and auto manufacturers, guiding investment strategies that align with the dynamic landscape of autonomous driving technology.
Real-Time EtherCAT-Based Control Architecture for Electro-Hydraulic Humanoid
Authors: Ghandour Maysoon , Jleilaty Subhi , Ait Oufroukh Naima , Olaru Serban , Alfayad Samer
Published: May 2024

Electro-hydraulic actuators have witnessed significant development over recent years due to their remarkable abilities to perform complex and dynamic movements. Integrating such an actuator in humanoids is highly beneficial, leading to a humanoid capable of performing complex tasks requiring high force. This highlights the importance of safety, especially since high power output and safe interaction seem to be contradictory; the greater the robot’s ability to generate high dynamic movements, the more difficult it is to achieve safety, as this requires managing a large amount of motor energy before, during, and after the collision. No matter what technology or algorithm is used to achieve safety, none can be implemented without a stable control system. Hence, one of the main parameters remains the quality and reliability of the robot’s control architecture through handling a huge amount of data without system failure. This paper addresses the development of a stable control architecture that ensures, in later stages, that the safety algorithm is implemented correctly. The optimum control architecture to utilize and ensure the maximum benefit of electro-hydraulic actuators in humanoid robots is one of the important subjects in this field. For a stable and safe functioning of the humanoid, the development of the control architecture and the communication between the different components should adhere to some requirements such as stability, robustness, speed, and reduced complexity, ensuring the easy addition of numerous components. This paper presents the developed control architecture for an underdeveloped electro-hydraulic actuated humanoid. The proposed solution has the advantage of being a distributed, real-time, open-source, modular, and adaptable control architecture, enabling simple integration of numerous sensors and actuators to emulate human actions and safely interact with them. The contribution of this paper is an enhancement of the updated rate compared to other humanoids by 20% and by 40 % in the latency of the master. The results demonstrate the potential of using EtherCAT fieldbus and open-source software to develop a stable robot control architecture capable of integrating safety and security algorithms in later stages.
Role of Volatile Organic Compounds Produced by Kosakonia cowanii Cp1 during Competitive Colonization Interaction against Pectobacterium aroidearum SM2
Authors: Mena Navarro Mayra Paola , Espinosa Bernal Merle Ariadna , Martinez-Avila Adriana Eunice , Aponte Pineda Leonela Sofia , Montes Flores Luis Alberto , Chan Ku Carlos Daniel , Hernández Gómez Yoali Fernanda , González Espinosa Jacqueline , Pacheco Aguilar Juan Ramiro , Ramos López Miguel Ángel , Arvizu Gómez Jackeline Lizzeta , Saldaña Gutierrez Carlos , Rodríguez Morales José Alberto , Amaro Reyes Aldo , Hernández Flores José Luis , Campos Guillén Juan
Published: May 2024

The competitive colonization of bacteria on similar ecological niches has a significant impact during their establishment. The synthesis speeds of different chemical classes of molecules during early competitive colonization can reduce the number of competitors through metabolic effects. In this work, we demonstrate for the first time that Kosakonia cowanii Cp1 previously isolated from the seeds of Capsicum pubescens R. P. produced volatile organic compounds (VOCs) during competitive colonization against Pectobacterium aroidearum SM2, affecting soft rot symptoms in serrano chili (Capsicum annuum L.). The pathogen P. aroidearum SM2 was isolated from the fruits of C. annuum var. Serrano with soft rot symptoms. The genome of the SM2 strain carries a 5,037,920 bp chromosome with 51.46% G + C content and 4925 predicted protein-coding genes. It presents 12 genes encoding plant-cell-wall-degrading enzymes (PCDEWs), 139 genes involved in five types of secretion systems, and 16 genes related to invasion motility. Pathogenic essays showed soft rot symptoms in the fruits of C. annuum L., Solanum lycopersicum, and Physalis philadelphica and the tubers of Solanum tuberosum. During the growth phases of K. cowanii Cp1, a mix of VOCs was identified by means of HS-SPME-GC-MS. Of these compounds, 2,5-dimethyl-pyrazine showed bactericidal effects and synergy with acetoin during the competitive colonization of K. cowanii Cp1 to completely reduce soft rot symptoms. This work provides novel evidence grounding a better understanding of bacterial interactions during competitive colonization on plant tissue, where VOC synthesis is essential and has a high potential capacity to control pathogenic microorganisms in agricultural systems.
Innovative Biomarkers for Obesity and Type 1 Diabetes Based on Bifidobacterium and Metabolomic Profiling
Authors: Nobili Angelica , Pane Marco , Skvortsova Mariya , Ben Salem Meryam , Morgenthaler Stephan , Jamieson Emily , Di Stefano Marina , Bathrellou Eirini , Mamalaki Eirini , Ramos-Garcia Victoria , Kuligowski Julia , Vasileiadis Miltiadis , Georgiadis Panagiotis , Falcone Marika , Refinetti Paulo
Published: May 2024

The role of Bifidobacterium species and microbial metabolites such as short-chain fatty acids (SCFAs) and human milk oligosaccharides in controlling intestinal inflammation and the pathogenesis of obesity and type 1 diabetes (T1D) has been largely studied in recent years. This paper discusses the discovery of signature biomarkers for obesity and T1D based on data from a novel test for profiling several Bifidobacterium species, combined with metabolomic analysis. Through the NUTRISHIELD clinical study, a total of 98 children were recruited: 40 healthy controls, 40 type 1 diabetics, and 18 obese children. Bifidobacterium profiles were assessed in stool samples through an innovative test allowing high taxonomic resolution and precise quantification, while SCFAs and branched amino acids were measured in urine samples through gas chromatography–mass spectrometry (GC-MS). KIDMED questionnaires were used to evaluate the children’s dietary habits and correlate them with the Bifidobacterium and metabolomic profiles. We found that B. longum subs. infantis and B. breve were higher in individuals with obesity, while B. bifidum and B. longum subs. longum were lower compared to healthy individuals. In individuals with T1D, alterations were found at the metabolic level, with an overall increase in the level of the most measured metabolites. The high taxonomic resolution of the Bifidobacterium test used meant strong correlations between the concentrations of valine and isoleucine, and the relative abundance of some Bifidobacterium species such as B. longum subs. infantis, B. breve, and B. bifidum could be observed.
Clinical and Diagnostic Features of West Nile Virus Neuroinvasive Disease in New York City
Authors: Roberts Jackson A. , Kim Carla Y. , Dean Amy , Kulas Karen E. , St. George Kirsten , Hoang Hai E. , Thakur Kiran T.
Published: May 2024

West Nile virus (WNV) neuroinvasive disease (WNND) occurs in approximately 1 percent of WNV-infected patients and typically presents as encephalitis, meningitis, or acute flaccid paralysis (AFP). WNND remains a difficult inpatient diagnosis, creating significant challenges for prognostication and therapy selection. We characterized the clinical and diagnostic features of WNND cases at two major academic medical centers in New York City in routine clinical practice. We retrospectively reviewed the charts of thirty-six patients with WNND, including twenty-six encephalitis, four meningitis, and six AFP cases. The most common presenting symptoms were fever (86.1%) and gastrointestinal symptoms (38.9%) in addition to altered mental status (72.2%), lethargy (63.9%), gait disturbances (46.2%), and headache (44.4%). Fourteen (48.3%) patients displayed acute magnetic resonance imaging (MRI) findings, particularly T2 hyperintensities in the bilateral thalami, brainstem, and deep white matter. New York State Department of Health WNV CSF IgM testing was utilized for diagnosis in 58.3% of patients; however, just 38.1% had the result by discharge, compared to 85.6% of those who underwent serum IgM testing. The median length of stay was 13.5 days, 38.9% were intubated, and three patients (8.9%) died during acute hospitalization. Our findings underscore the morbidity, mortality, and diagnostic challenges of WNND, suggesting the potential utility of serum IgM testing in combination with confirmatory CSF testing to expedite diagnosis in the acute setting.
Polarization Diffraction Gratings in PAZO Polymer Thin Films Recorded with Digital Polarization Holography: Polarization Properties and Surface Relief Formation
Authors: Berberova-Buhova Nataliya , Nedelchev Lian , Mateev Georgi , Nikolova Ludmila , Stoykova Elena , Ivanov Branimir , Strijkova Velichka , Hong Keehoon , Nazarova Dimana
Published: May 2024

In this work, we study the polarization properties of diffraction gratings recorded in thin films of the azopolymer PAZO (poly[1-[4-(3-carboxy-4-hydroxyphenylazo)benzene sulfonamido]-1,2-ethanediyl, sodium salt]) using digital polarization holography. Using two quarter-wave plates, the phase retardation of each pixel of the SLM is converted into the azimuth rotation of linearly polarized light. When recording from the azopolymer side of the sample, significant surface relief amplitude is observed with atomic force microscopy. In contrast, recording from the substrate side of the sample allows the reduction of the surface relief modulation and the obtaining of polarization gratings with characteristics close to an ideal grating, recorded with two orthogonal circular polarizations. This can be achieved even with a four-pixel period of grating, as demonstrated by our results.
Improved Optics for Super-Resolution Time-Lapse Observations of Biological Phenomenon Using Speckle Interferometry
Authors: Arai Yasuhiko
Published: May 2024

This study proposes a new optical system with the potential for time-lapse observation of living cellular tissue beyond the diffraction limit through speckle interferometry to facilitate biological research. The spatial resolution of this optical system was investigated and improved upon. This study also experimentally verified a finding from an earlier simulation study that the new super-resolution technology could be realised by analysing the phase distribution related to the shape of the measured object, preserved in the light reflected from the object. Additionally, a method was presented to confirm the positions of microstructures, based on the extracted characteristics of the structure.
Plasma Technology Applied to Improve Wettability for Emerging Mycelium-Based Materials
Authors: Aragón Chivite Paz , Portolés Gil Núria , Campà Ruth Garcia , Bautista Pérez Lorenzo , Félix de Castro Paula
Published: May 2024

Plasma technology is increasing its applications in the textile industry for conferring surface functionalities through greener processes. In this study, plasma treatments are studied to improve the wettability of mycelium-based material, an emerging material with a lot of potential in the near future. The plasma effect was characterized by assessing the added functionality (wettability) and inspecting surface modifications with different techniques, such as scanning electron microscopy (SEM) and X-Ray photoelectron spectroscopy (XPS). Low pressure plasma (LPP) treatments were successfully applied into the mycelium-based material and optimal power of discharge and treatment time were set for this material (750 W, 17.5 min). With the optimized LPP treatments, the water absorption capacity of mycelium-based material was improved by 2000% and some surface morphological modifications were observed by SEM analysis. On the other hand, XPS analysis demonstrated how the plasma treatment changes the surface composition.
Influence of a Long Flexible Fiber on the Transport Capability of a Non-Clogging Pump
Authors: Liu Jing , Xu Jingwei , Zhuang Suguo , Wang Kai
Published: May 2024

During the operation of non-clogging pumps, the flexible long fiber is prone to clogging and winding during the flow process, which can result in damage to the non-clogging pump, so a numerical simulation method of a solid–liquid two-phase flow in a non-clogging pump with a flexible long fiber is proposed in this paper. The unsteady numerical simulation of the two-phase flow of a single flexible fiber with different densities, lengths and diameters in a double-blade non-clogging pump was carried out to study the influence of fiber parameters on fiber transport capability. The results show that at a density of 920 kg/m3, 300 kg/m3 and 732 kg/m3, the transport capability of flexible fibers decreases successively, and the transport time T0 is 0.32 s, 0.36 s and 0.48 s, respectively. The transport capability of flexible fibers with a length of 150 mm, 200 mm and 250 mm decreases successively, and the transport time T0 is 0.34 s, 0.48 s and 0.96 s, respectively. The transport time T0 is 0.48 s when the fiber diameter dp is 5 mm. When the fiber diameter dp is 7.5 mm, the transport time T0 is 0.51 s. When the fiber diameter dp is 10 mm, the fiber transport capability of the non-clogging pump decreased significantly, and the transport time T0 is 0.68 s. The fiber length has the most obvious effect on fiber transport capability, followed by the fiber diameter and fiber density.
Test of Volatile Behaviors with the Asymmetric Stochastic Volatility Model: An Implementation on Nasdaq-100
Authors: Suleymanov Elchin , Gubadli Magsud , Yagubov Ulvi
Published: May 2024

The present study aimed to investigate the presence of asymmetric stochastic volatility and leverage effects within the Nasdaq-100 index. This index is widely regarded as an important indicator for investors. We focused on the nine leading stocks within the index, which are highly popular and hold significant weight in the investment world. These stocks are Netflix, PayPal, Google, Intel, Microsoft, Amazon, Tesla, Apple, and Meta. The study covered the period between 3 January 2017 and 30 January 2023, and we employed the EViews and WinBUGS applications to conduct the analysis. We began by calculating the logarithmic difference to obtain the return series. We then performed a sample test with 100,000 iterations, excluding the first 10,000 samples to eliminate the initial bias of the coefficients. This left us with 90,000 samples for analysis. Using the results of the asymmetric stochastic volatility model, we evaluated both the Nasdaq-100 index as a whole and the volatility persistence, predictability, and correlation levels of individual stocks. This allowed us to evaluate the ability of individual stocks to represent the characteristics of the Nasdaq-100 index. Our findings revealed a dense clustering of volatility, both for the Nasdaq-100 index and the nine individual stocks. We observed that this volatility is continuous but has a predictable impact on variability. Moreover, apart from Intel, all the stocks in the model exhibited both leverage effects and the presence of asymmetric relationships, as did the Nasdaq-100 index. Overall, our results show that the characteristics of stocks in the model are like the volatility characteristic of the Nasdaq-100 index and can represent it.
Microwave Flow Cytometric Detection and Differentiation of Escherichia coli
Authors: Dahal Neelima , Peak Caroline , Ehrett Carl , Osterberg Jeffrey , Cao Min , Divan Ralu , Wang Pingshan
Published: May 2024

Label-free measurement and analysis of single bacterial cells are essential for food safety monitoring and microbial disease diagnosis. We report a microwave flow cytometric sensor with a microstrip sensing device with reduced channel height for bacterial cell measurement. Escherichia coli B and Escherichia coli K-12 were measured with the sensor at frequencies between 500 MHz and 8 GHz. The results show microwave properties of E. coli cells are frequency-dependent. A LightGBM model was developed to classify cell types at a high accuracy of 0.96 at 1 GHz. Thus, the sensor provides a promising label-free method to rapidly detect and differentiate bacterial cells. Nevertheless, the method needs to be further developed by comprehensively measuring different types of cells and demonstrating accurate cell classification with improved machine-learning techniques.
Prediction Model of Coal Gas Permeability Based on Improved DBO Optimized BP Neural Network
Authors: Wang Wei , Cui Xinchao , Qi Yun , Xue Kailong , Liang Ran , Bai Chenhao
Published: May 2024

Accurate measurement of coal gas permeability helps prevent coal gas safety accidents effectively. To predict permeability more accurately, we propose the IDBO-BPNN coal body gas permeability prediction model. This model combines the Improved Dung Beetle algorithm (IDBO) with the BP neural network (BPNN). First, the Sine chaotic mapping, Osprey optimization algorithm, and adaptive T-distribution dynamic selection strategy are integrated to enhance the DBO algorithm and improve its global search capability. Then, IDBO is utilized to optimize the weights and thresholds in BPNN to enhance its prediction accuracy and mitigate the risk of overfitting to some extent. Secondly, based on the influencing factors of gas permeability, effective stress, gas pressure, temperature, and compressive strength, they are chosen as the coupling indicators. The SPSS 27 software is used to analyze the correlation among the indicators using the Pearson correlation coefficient matrix. Additionally, the Kernel Principal Component Analysis (KPCA) is employed to extract the original data. Then, the original data is divided into principal component data for the model input. The prediction results of the IDBO-BPNN model are compared with those of the PSO-BPNN, PSO-LSSVM, PSO-SVM, MPA-BPNN, WOA-SVM, BES-SVM, and DPO-BPNN models. This comparison assesses the capability of KPCA to enhance the accuracy of model predictions and the performance of the IDBO-BPNN model. Finally, the IDBO-BPNN model is tested using data from a coal mine in Shanxi. The results indicate that the predicted outcome closely aligns with the actual value, confirming the reliability and stability of the model. Therefore, the IDBO-BPNN model is better suited for predicting coal gas permeability in academic research writing.
Real-Time Multi-Sensor Joint Fault Diagnosis Method for Permanent Magnet Traction Drive Systems Based on Structural Analysis
Authors: Gan Weiwei , Li Xueming , Wei Dong , Ding Rongjun , Liu Kan , Chen Zhiwen
Published: May 2024

Sensor faults are one of the most common faults that cause performance degradation or functional loss in permanent magnet traction drive systems (PMTDSs). To quickly diagnose faulty sensors, this paper proposes a real-time joint diagnosis method for multi-sensor faults based on structural analysis. Firstly, based on limited monitoring signals on board, a structured model of the system was established using the structural analysis method. The isolation and detectability of faulty sensors were analyzed using the Dulmage–Mendelsohn decomposition method. Secondly, the minimum collision set method was used to calculate the minimum overdetermined equation set, transforming the higher-order system model into multiple related subsystem models, thereby reducing modeling complexity and facilitating system implementation. Next, residual vectors were constructed based on multiple subsystem models, and fault detection and isolation strategies were designed using the correlation between each subsystem model and the relevant sensors. The validation results of the physical testing platform based on online fault data recordings showed that the proposed method could achieve rapid fault detection and the localization of multi-sensor faults in PMTDS and had a good application value.
Scale-Aware Edge-Preserving Full Waveform Inversion with Diffusion Filter for Crosshole Sensor Arrays
Authors: Yang Jixin , He Xiao , Chen Hao , Li Jiacheng , Wang Wenwen
Published: May 2024

Full waveform inversion (FWI) is recognized as a leading data-fitting methodology, leveraging the detailed information contained in physical waveform data to construct accurate, high-resolution velocity models essential for crosshole surveys. Despite its effectiveness, FWI is often challenged by its sensitivity to data quality and inherent nonlinearity, which can lead to instability and the inadvertent incorporation of noise and extraneous data into inversion models. To address these challenges, we introduce the scale-aware edge-preserving FWI (SAEP-FWI) technique, which integrates a cutting-edge nonlinear anisotropic hybrid diffusion (NAHD) filter within the gradient computation process. This innovative filter effectively reduces noise while simultaneously enhancing critical small-scale structures and edges, significantly improving the fidelity and convergence of the FWI inversion results. The application of SAEP-FWI across a variety of experimental and authentic crosshole datasets clearly demonstrates its effectiveness in suppressing noise and preserving key scale-aware and edge-delineating features, ultimately leading to clear inversion outcomes. Comparative analyses with other FWI methods highlight the performance of our technique, showcasing its ability to produce images of notably higher quality. This improvement offers a robust solution that enhances the accuracy of subsurface imaging.
A Recursive Non-Uniform Sampling Estimator for Asynchronous Nonlinear Systems
Authors: Yang Yu-Hang , Liu Jin-Gang , Song Shen-Min
Published: May 2024

In this paper, we consider the problem of asynchronous estimation in the presence of packet losses for the randomly sampling nonlinear system. Packet losses occur at the control input and at the measurement side. Firstly, the synchronization of the asynchronous sampling system is realized by weighting the state of the adjacent state update points. Secondly, the projection theorem is used to estimate the system state at the sampling time. Due to modeling errors and unmodeled dynamics, obtaining an accurate dynamic model is challenging. Therefore, observation inference based on interpolation techniques is proposed to solve the asynchronous estimation problem. Furthermore, the algorithm is extended to multi-sensor systems to obtain a distributed fusion estimator. Finally, simulation experiments are conducted to validate the effectiveness of the algorithm.
The Impact of Agroecosystems on Nitrous Acid (HONO) Emissions during Spring and Autumn in the North China Plain
Authors: Zeng Jianhui , Xu Wanyun , Kuang Ye , Xu Weiqi , Liu Chang , Zhang Gen , Zhao Huarong , Ren Sanxue , Zhou Guangsheng , Xu Xiaobin
Published: May 2024

Solar radiation triggers atmospheric nitrous acid (HONO) photolysis, producing OH radicals, thereby accelerating photochemical reactions, leading to severe secondary pollution formation. Missing daytime sources were detected in the extensive HONO budget studies carried out in the past. In the rural North China Plain, some studies attributed those to soil emissions and more recent studies to dew evaporation. To investigate the contributions of these two processes to HONO temporal variations and unknown production rates in rural areas, HONO and related field observations obtained at the Gucheng Agricultural and Ecological Meteorological Station during spring and autumn were thoroughly analyzed. Morning peaks in HONO frequently occurred simultaneously with those of ammonia (NH3) and water vapor both during spring and autumn, which were mostly caused by dew and guttation water evaporation. In spring, the unknown HONO production rate revealed pronounced afternoon peaks exceeding those in the morning. In autumn, however, the afternoon peak was barely detectable compared to the morning peak. The unknown afternoon HONO production rates were attributed to soil emissions due to their good relationship to soil temperatures, while NH3 soil emissions were not as distinctive as dew emissions. Overall, the relative daytime contribution of dew emissions was higher during autumn, while soil emissions dominated during spring. Nevertheless, dew emission remained the most dominant contributor to morning time HONO emissions in both seasons, thus being responsible for the initiation of daytime OH radical formation and activation of photochemical reactions, while soil emissions further maintained HONO and associated OH radial formation rates at a high level, especially during spring. Future studies need to thoroughly investigate the influencing factors of dew and soil emissions and establish their relationship to HONO emission rates, form reasonable parameterizations for regional and global models, and improve current underestimations in modeled atmospheric oxidation capacity.
Theory of Majorana-Type Heavy Ion Double Charge Exchange Reactions by Pion–Nucleon Isotensor Interactions
Authors: Lenske Horst , Bellone Jessica , Colonna Maria , Gambacurta Danilo
Published: May 2024

The theory of heavy ion double charge exchange (DCE) reactions proceeding by effective rank-2 isotensor interactions is presented. Virtual pion–nucleon charge exchange interactions are investigated as the source for induced isotensor interactions, giving rise to the Majorana DCE (MDCE) reaction mechanism. MDCE is of a generic character, proceeding through pairs of complementary (π±,π∓) reactions in the projectile and target nucleus. The dynamics of the elementary processes is discussed, where the excitation of pion–nucleon resonances are of central importance. Investigations of initial and final state ion–ion interactions show that these effects are acting as vertex renormalizations. In closure approximation, well justified by the finite pion mass, the second-order transition matrix elements reduce to pion potentials and effective two-body isotensor DCE interactions, giving rise also to two-body correlations in either of the participating nuclei. Connections to neutrinoless Majorana double beta decay (MDBD) are elucidated at various levels of the dynamics, from the underlying fundamental electro-weak and QCD scales to the physical scales of nuclear MDBD and MDCE physics. It is pointed out that heavy ion MDCE reactions may also proceed by competing electro-weak charge exchange processes, leading to lepton MDCE by electrons, positrons, and neutrinos.
Attitude to Co-Administration of Influenza and COVID-19 Vaccines among Pregnant Women Exploring the Health Action Process Approach Model
Authors: Fallucca Alessandra , Immordino Palmira , Ferro Patrizia , Mazzeo Luca , Petta Sefora , Maiorana Antonio , Maranto Marianna , Casuccio Alessandra , Restivo Vincenzo
Published: May 2024

Respiratory tract diseases caused by influenza virus and SARS-CoV-2 can represent a serious threat to the health of pregnant women. Immunological remodulation for fetus tolerance and physiological changes in the gestational chamber expose both mother and child to fearful complications and a high risk of hospitalization. Vaccines to protect pregnant women from influenza and COVID-19 are strongly recommended and vaccine co-administration could be advantageous to increase coverage of both vaccines. The attitude to accept both vaccines is affected by several factors: social, cultural, and cognitive-behavioral. In Palermo, Italy, during the 2021–2022 influenza season, a cross-sectional study was conducted to evaluate pregnant women’s intention to adhere to co-administration of influenza and COVID-19 vaccines. The determinants of vaccination attitude were investigated through the administration of a questionnaire and the Health Action Process Approach theory was adopted to explore the cognitive behavioral aspects. Overall, 120 pregnant women were enrolled; mean age 32 years, 98.2% (n = 118) of Italian nationality and 25.2% (n = 30) with obstetric or pathological conditions of pregnancy at risk. Factors significantly associated with the attitude to co-administration of influenza and COVID-19 vaccines among pregnant women were: high level of education (OR = 13.96; p < 0.001), positive outcome expectations (OR = 2.84; p < 0.001), and self-efficacy (OR = 3.1; p < 0.001). Effective strategies to promote the co-administration of the influenza vaccine and the COVID-19 vaccine should be based on the communication of the benefits and positive outcomes of vaccine co-administration and on the adequate information of pregnant women.
Further Examination of the Pulsed- and Steady-Pedestal Paradigms under Hypothetical Parvocellular- and Magnocellular-Biased Conditions
Authors: Song Jaeseon , Breitmeyer Bruno G. , Brown James M.
Published: May 2024

The pulsed- and steady-pedestal paradigms were designed to track increment thresholds (ΔC) as a function of pedestal contrast (C) for the parvocellular (P) and magnocellular (M) systems, respectively. These paradigms produce contrasting results: linear relationships between ΔC and C are observed in the pulsed-pedestal paradigm, indicative of the P system’s processing, while the steady-pedestal paradigm reveals nonlinear functions, characteristic of the M system’s response. However, we recently found the P model fits better than the M model for both paradigms, using Gabor stimuli biased towards the M or P systems based on their sensitivity to color and spatial frequency. Here, we used two-square pedestals under green vs. red light in the lower-left vs. upper-right visual fields to bias processing towards the M vs. P system, respectively. Based on our previous findings, we predicted the following: (1) steeper ΔC vs. C functions with the pulsed than the steady pedestal due to different task demands; (2) lower ΔCs in the upper-right vs. lower-left quadrant due to its bias towards P-system processing there; (3) no effect of color, since both paradigms track the P-system; and, most importantly (4) contrast gain should not be higher for the steady than for the pulsed pedestal. In general, our predictions were confirmed, replicating our previous findings and providing further evidence questioning the general validity of using the pulsed- and steady-pedestal paradigms to differentiate the P and M systems.
Analisis Evaluasi Kepuasan Pengguna SteamOS Menggunakan Metode Evaluasi Heuristic
Authors: Subiksa Gde Brahupadhya , Wardana I Gede Igo Wisnu , Saputra I Gede Angga , Arnawa I Made Pradnyananda Kevin , Narayana I Ketut Sagita
Published: May 2024

Penelitian ini membahas evaluasi kepuasan pengguna terhadap sistem operasi SteamOS dengan menggunakan metode evaluasi heuristic dengan tujuan untuk melakukan evaluasi usability sistem operasi SteamOS, yang menghasilkan persentase kepuasan pengguna sistem operasi tersebut, selanjutnya hasil kepuasan tersebut dianalisis untuk menghasilkan rekomendasi kedepan kepada developer SteamOS dan menjadi acuan pada developer sistem operasi kedepannya untuk dapat membangun dan merancang sistem yang berkualitas dari sisi usability. Pengambilan data diambil dari sampel yang diperoleh berdasarkan metode slovin mengerucut menjadi 34 responden. Penyebaran kuesioner dilakukan dengan mempergunakan google form. Berdasarkan 5 variabel metode heuristic evaluation yang diujikan menghasilkan tingkat kepuasan penggunanya, pada variabel Visibilitas 79,4%, variabel Realita 73,4%, variabel Kendali User 78,4%, variabel Konsisten 80,3%, dan variabel Fleksibel & Efisiensi 80,3%, jika dianalisis secara keseluruhan maka tingkat kepuasan pengguna terhadap sistem operasi SteamOS berada pada rata-rata memuaskan (puas). Sehingga dapat disimpulkan bahwa usability SteamOS dalam kualitas baik dan memuaskan bagi penggunannya. Hal ini memberikan indikasi bahwa SteamOS memenuhi harapan dan kebutuhan pengguna dalam hal visibilitas, realita, kendali pengguna, konsistensi, serta fleksibilitas dan efisiensi. Rekomendasi berdasarkan temuan ini adalah untuk terus menjaga dan meningkatkan aspek-aspek yang dinilai positif oleh responden, serta memperbaiki dan mengembangkan aspek-aspek yang masih memerlukan perhatian untuk meningkatkan pengalaman pengguna SteamOS secara keseluruhan. Sehingga Penelitian ini dapat memberikan masukan dan keterbaharuan tingkat usability sebuah sistem operasi, sehingga kedapannya bisa menjadi acuan developer sistem operasi dalam mendesain dan merancang sistem informasinya menjadi lebih berkualitas terutama dari sisi usability sistem.
Penerapan Augmented Reality pada Game Edukasi Tumbuhan Lumut untuk Siswa SMP Negeri 2 Parittiga
Authors: Hidayat Hidayat , Andriyanto Sidhiq , Rindri Yang Agita
Published: May 2024

Kemajuan teknologi yang pesat di era saat ini memberikan peluang yang sangat baik untuk mengintegrasikan inovasi dalam sektor pendidikan. Keterlibatan teknologi dalam pembelajaran tidak hanya meningkatkan efisiensi proses belajar mengajar, tetapi juga membuka peluang untuk menciptakan pengalaman pendidikan yang lebih interaktif dan menarik bagi para siswa. Pemanfaatan augmented reality dan game edukasi diharapkan dapat membantu guru dalam memvisualisasikan benda yang berbentuk abstrak serta para siswa dapat bermain sambil belajar, sehingga mudah dijelaskan dan dimengerti oleh para siswa serta memberikan pengalaman belajar yang menarik sehinga dapat menumbuhkan motivasi belajar siswa. Penelitian ini memiliki tujuan untuk merancang aplikasi augmented reality dan permainan edukatif mengenai tumbuhan lumut yang disesuaikan dengan pembelajaran dan kebutuhan siswa SMP Negeri 2 Parittiga. Aplikasi ini akan menyediakan pengalaman belajar yang interaktif dan menyenangkan, meningkatkan motivasi belajar siswa tentang tumbuhan lumut, dan memberikan kontribusi positif terhadap kualitas pendidikan di sekolah ini. Metode pengembangan aplikasi yang digunakan adalah Game Development Life Cycle (GDLC). Pengembangan aplikasi game menggunakan Unity dengan bahasa pemrograman C# dan perancangan objek 3D dan 2D menggunakan aplikasi Blender dan Adobe Ilustrator. Berdasarkan hasil pengujian dari ahli materi mendapat hasil 92,22% yang menunjukkan aplikasi sudah menggunakan materi yang sesuai dengan pembelajaran, sedangkan untuk User Acceptance Testing yang dilakukan kepada para siswa SMP Negeri 2 Parittiga mendapat persentase kelayakan sebesar 91,53%, aplikasi berjalan dengan baik dengan tanpa adanya masalah validitas fungsi-fungsi aplikasi yang ditemukan.
UI/UX DESIGN ON A COMPANY WEBSITE PROTOTYPE USING THE SPRINT DESIGN METHOD (CASE STUDY: PT. REAL MEDIA LAB)
Authors: Tayane Rosaline Theophilia , Islami Firsta Angelia , Marianingsih Susi
Published: May 2024

A company's online visibility is essential in today's digital era, especially for promoting products and reaching a wider audience. One means to make it happen is the company website. Designing a website as a medium of information, promotion, and communication without an introduction and understanding of the psychological aspects will result in a system that fails. A website with an attractive user interface (UI) will create a good user experience (UX). A standard is needed to produce a good website interface, which will become a benchmark in actual system design, in this case, a prototype. Apart from being a standard, prototypes can be used to test system performance before implementation. The method used in designing the user interface prototype in this study is the design sprint method. Data was collected by interviewing and surveying stakeholders (company leaders), employees, and consumers actively involved in the company's system to explore users' needs. Based on user needs, a company website prototype is designed. Prototype testing includes testing usability, content, aesthetics, and quality of information. Testing involving 16 respondents. The test results show an average of 60% of users give a positive response.
Rancang Bangun Dan Analisa Quality Of Services (QoS) VoIP Server Menggunakan Briker Dengan Memanfaatkan Trunk Dan Interactive Voice Respons (IVR) Di AirNav Padang
Authors: Adibasyah Muhammad
Published: May 2024

Dalam era digital, teknologi komunikasi VoIP populer karena biaya rendah dan kualitas suara yangbaik. Di Perum AirNav Padang, komunikasi yang dilakukan masih manual dengan telepon konvensionalsehingga dinilai mahal dan kurang efektif. Solusinya adalah menerapkan VoIP melalui jaringan lokal,memanfaatkan komputer, smartphone, headphone, dan telepon analog untuk efisiensi biaya dan komunikasilintas divisi. Penelitian serupa telah mengatasi masalah biaya dengan VoIP. Namun, implementasi VoIPmemerlukan Quality of Service (QoS) yang baik untuk menghindari delay, jitter, dan packet loss yangmengganggu. Penelitian ini fokus pada perancangan dan analisis QoS VoIP server dengan Briker, trunk, danIVR di Perum LPPNPI Cabang Pembantu Padang. Pengukuran QoS menunjukkan nilai rata-rata delay sekitar22.754 ms, jitter rata-rata sekitar 3.572 ms, dan packet loss rata-rata sekitar 0.04% untuk panggilan antar client.Sedangkan untuk panggilan dengan trunk dan IVR, nilai rata-rata delay sekitar 21.756 ms, jitter rata-ratasekitar 5.402 ms, dan packet loss rata-rata sekitar 0.05%. Solusi ini dapat mengoptimalkan komunikasi lintasdivisi dengan biaya rendah dan efisiensi tinggi.
Perkembangan Teknologi Pakan Ikan Otomatis dalam Perikanan Modern : Tinjauan Literatur
Authors: Putri Diana Eka
Published: May 2024

Perkembangan teknologi di era revolusi industri 4.0 saat ini sudah semakin canggih, dengan kemajuannya yang sangat pesat ini memudahkan manusia dalam mengerjakan pekerjaannya. Salah satu kemajuan dari teknologi yang ada saat ini yaitu kemampuannya untuk menjalankan suatu alat secara otomatis. Otomatisasi juga berperan penting dalam bidang budidaya ikan, dimana para pelaku usaha ditantang untuk berinovasi dalam menghadapi revolusi industri. Konsep dari budidaya ikan modern sendiri melibatkan pemberian pakan otomatis berdasarkan waktu yang sudah ditentukan sebelumnya. Hal ini memungkinkan pemilik budidaya ikan memberi pakan secara teratur dan konsisten. Metode penelitian yang digunakan adalah systematic literature review, dengan mengumpulkan data dari database Google Scholar. Dengan menggunakan kata kunci (“Pakan Ikan Otomatis” DAN “IoT”) didapatkan sebanyak 402 artikel  kemudian di seleksi hingga mendapatkan 20 artikel yang relevan dengan topik yang diambil untuk dianalisis. Studi literatur ini memberikan pemahaman mendalam tentang tren dan tantangan dalam pengembangan alat pakan ikan otomatis berbasis IoT. Hail artikel ini memberikan gambaran perkembangan pakan ikan otomatis. Dapat disimpulkan bahwa pakan ikan otomatis menggunakan salah satu mikrokontroller seperti Arduino Uno atau Arduino Nano, NodeMCU ESP8266, dan Wemos D1R1 atau Wemos D1 mini. Secara keseluruhan, para peneliti telah membuat pakan ikan otomatis dengan akurasi waktu yang sesuai dengan yang sudah ditetapkan sebelumnya.
Design of Electric Oven Temperature Control System Using PID Method
Authors: Awaludin Muhammad Irsyad
Published: May 2024

Dalam dunia modern yang dipenuhi dengan beragam kebutuhan dapur, oven telah menjadi perangkat esensial untuk memenuhi berbagai persyaratan memasak. Ketersediaan oven dengan berbagai ukuran, daya operasional, dan hasil panas menjadi kunci dalam mencapai hasil memasak yang optimal. Namun, kendali suhu pada sebagian besar oven masih mengandalkan sistem on-off sederhana, yang mungkin tidak sepenuhnya efektif dalam menjaga suhu secara stabil dan akurat. Oleh karena itu, diperlukan pendekatan inovatif untuk meningkatkan performa oven, khususnya dalam mencapai dan mempertahankan suhu yang diinginkan oleh pengguna. Penelitian ini mendasarkan diri pada implementasi Metode PID (Proporsional, Integral, dan Derivatif) sebagai sistem kendali pada oven. Metode ini dipilih karena kemampuannya dalam menyelesaikan output suatu sistem secara otomatis, berdasarkan proporsionalitas, integralitas, dan derivatifitas dari perbedaan antara setpoint dan output aktual. Nilai konstanta PID dicari menggunakan metode trial dan error, dimulai dengan mengatur semua konstanta Kp, Ki, dan Kd menjadi nol dan naikkan hingga sistem mulai merespon pada Kp=20. Setelah melakukan koreksi berulang, kesalahan statis (offset) dapat diatasi pada Ki=0,4 dan osilasi berlebihan dapat diredakan pada Kd=50. Berdasarkan hasil pengujian performa oven pada temperature 50°C, 60°C, dan 70°C, didapatkan informasi bahwa overshoot didapatkan secara berurutan 80%, 60%, dan 15%. Maka, overshoot yang paling besar pada setpoint 50°C dan yang paling kecil pada setpoint 70°C. Berdasarkan tiga pengujian pada setpoint yang berbeda, setpoint dapat mengikuti output aktual (settling time) pada waktu 2000 detik.
Antena Multiple Input – Multiple Output (Mimo) Empat Elemen Untuk Teknologi 5G
Authors: Maharani Zhanni
Published: May 2024

Antena Multiple Input – Multiple Output (MIMO) merupakan teknologi dalam komunikasi nirkabel yang menggunakan beberapa antena transmisi dan penerima untuk meningkatkan kinerja dan kecepatan komunikasi. MIMO dengan empat elemen ini memiliki koefisien korelasi rendah serta isolasi elemen yang tinggi, dengan tujuan untuk meningkatkan kualitas kinerja komunikasi. Pada Penelitian ini dirancang suatu antena MIMO menggunakan perangkat lunak CST Studio 2019 dengan substrste FR-4 Epoxy 40 x 40 mm dengan ketebalan 1,6 mm dan konstanta dielektrik 4,4. Hasil simulasi dan pengkuran menunjukkan bahwa desain antena sudah memenuhi spesifikasi yang telah ditetapkan, termasuk nilai return loss yan rendah dari -10 dB, memiliki bandwidth yang lebar sekitar 1700 MHz untuk simulasi dan 1100 MHz untuk pengukuran, nilai mutual coupling untuk hasil simulasi yaitu <-15 dB dan mutual coupling hasil pengukura adalah <-20 dB , dengan nilai koefisien korelasi < 0,1 untuk hasil simulasi dan <0,25 untuk hasil pengukuran. Dengan demikian antena ini memiliki kemampuan untuk mendukung aplikasi komunikasi 5G dengan kualitas performa yang baik memerlukan penyempurnaan untuk pengembangan lebih lanjut menjadi solusi yang efektif dalam meningkatkan efisiensi komunikasi generasi berikutnya.
mplementasi Algoritma HECTOR SLAM Dalam Melakukan Pemetaan Indoor Menggunakan Robot Automated Guided Vehicle
Authors: Izzatullah Muhamad Khosyi
Published: May 2024

Perberkembang dan digunakan dalam dunia industri dan menjadi penting yang dimana digunakansecara luas di berbagai sektor industri. Robot otonom bergerak menggunakan sistem navigasi untuk mengenalilingkungan, navigasi memiliki peran penting dalam robot otonom akan tetapi navigasi membutuhkan petayang akurat dengan lingkungan sekitar agar robot dapat bergerak sesui dengan lingkungan tersebut. Padapenelitian ini dilakukan analisis akurasi pemetaan menggunakan metode algoritma Hector-SLAM untukmelakukan pemetaan lingkungan sekitar dengan cara simulasi dan real-time(robot). Penelitian ini beberapakompone penting termasuk sistem operasi robot (Robot Operating System), filter data seperti hector scanmatching dimana untuk mengkonstruksi data yang diperoleh, jenis sensor sangat berpengaruh terhadap kualitaspeta yang dihasilkan. Penelitian ini menguji apakah algoritma hector scan matching dapat melakukanpemetaan lingkukan dengan akurat? Hasil dari penelitian ini dapat dapat disimpulkan bahwa, peta yangdihasilkan dari simulasi dan robot (real) ini memiliki akurasi yang cukup baik, ini didasarkan dari pencocokanhasil pemetaan simulasi dan robot(real) yang memiliki akurasi sebesar SSIM: 77.26%, Kesalahan MSE:3.96%, Pixel Match: 55.46% dari hasil pemetaan robot (real) sedangkan dari hasil simulasi didaparkan padasekenario ke-2 yang digunakan untuk membandingkan dengan robot didapatkan akurasi sebesar SSIM:87.29%, Kesalahan MSE: 1.65% dan Pixel Match : 81.11%.
Catch composition of fishes by different types of fishing gears in the Andaman sea, Thailand
Authors: Jarernpornnipat Ananya , Pongsuwan Thanyaporn , Jensen Kathe R
Published: May 2024

The Andaman Sea is a rich ecosystem providing significant ecosystem goods and services for people in coastal areas and these areas have fisheries activities using different fishing gears appropriate for different species and habitats. We assessed catch composition and size distribution of economically important finfish captured by a range of fishing gears employed by commercial and artisanal fishers in three provinces adjacent to the central Andaman Sea of Thailand over a 2-year period. Between January 2019 and December 2021, fishers employed 7 main capture gears: surface gillnet, bottom gillnet, fish trap, handline and hook, trawl, purse seines and light-luring anchovy falling net. Trawling captured the highest diversity of target species (35 species) followed by surrounding net (32 species), fish trap (16 species) hook and line (15 species), surface and bottom gillnet (15 species) and the last one of anchovy falling net (2 species). When comparing size at the first maturation of both target species and bycatch, it was found that the percentage of mature fish caught from artisanal fishing gears was higher than of commercial fishing gear because artisanal gears had better selection of catch, especially fish trap and hook and line. Understanding the operation of fishing gears, catch composition and the size frequencies of target species could be particularly important for stock assessment because gear may influence catch composition.