bluuebunny/crossref_metadata_2025 huggingface dataset:
Elevational control of isotopic composition and application in understanding hydrologic processes in the mid Merced River catchment, Sierra Nevada, California, USA
Authors: Liu Fengjing , Conklin Martha H. , Shaw Glenn D.
Published: May 2024

Abstract. Mountain snowpack has been declining and more precipitation has fallen as rainfall than snowfall, particularly in the western US. Isotopic composition in stream water, springs, groundwater, and precipitation was examined to understand the impact of declining snowpack on hydrologic processes in the mid Merced River catchment (1873 km2), Sierra Nevada, California. Mean isotopic values in small tributaries (catchment area < 122 km2), rock glacier outflows, and groundwater from 2005 to 2008 were strongly correlated with mean catchment elevation (R2= 0.96 for δ2H, n= 16, p < 0.001), with an average isotopic lapse rate of −1.9 ‰ per 100 m for δ2H and −0.22 ‰ per 100 m for δ18O in meteoric water. The lapse rate did not change much over the seasons and was not strongly affected by isotopic fractionation. A catchment-characteristic isotopic value, representing the catchment arithmetic mean isotopic signature in meteoric water, was thus established for each sub-catchment based on the lapse rate to elucidate hydrometeorologic and hydrologic processes such as the duration and the magnitude of snowmelt events and elevational water sources of streamflow and groundwater for ungauged catchments. Compared to Tenaya Creek without water falls, the flow and flow duration of Yosemite Creek appear to be much more sensitive to seasonal temperature increases during the baseflow period due to a strong evaporation effect caused by waterfalls, suggesting a possible prolonged dry-up period of Yosemite Falls in the future. Groundwater in Yosemite Valley (∼ 900–1200 m) was recharged primarily from the upper snow–rain transition zone (2000–2500 m), suggesting its strong vulnerability to shifts in the snow–rain ratio. The information gained from this study helps advance our understanding of hydrologic responses to climate change in snowmelt-fed river systems.
Ethik (Ethics)
Authors: Lipkin Michael
Published: May 2024

Does Goethe’s work contain an ethical system? Goethe’s life coincided with the flowering and end of ethics as a philosophical discipline, and his two Wilhelm Meister novels—Wilhelm Meisters Lehrjahre (1795–96; Wilhelm Meister’s Apprenticeship) and Wilhelm Meisters Wanderjahre, oder die Entsagenden (1821/29; Wilhelm Meister’s Journeyman Years, or the Renunciants)—constitute a reflection in the position of the individual in the Age of Ethics. In the Lehrjahre, Goethe narrates the travails of the individual in a world no longer secured by the moral cosmology of Christianity, while, in the Wanderjahre, he paints a picture of a fragmented world, dominated by the single value of utility, in which the individual seems scarcely to play any role at all. Each novel contains a sustained engagement with a philosophical ethics—the former, that of Kant and his notion of the Ideal; the latter, that of Spinoza and the relationship between the part and whole—that it seeks not to represent, but rather to adapt as a narrative and hermeneutic practice. In this way, both Wilhelm Meister novels stand, together, as one single plea for an artistic ethics in a world at once administered and disintegrating.
Digging Communicative Intentions: The Case of Crises Events
Authors: Benamara Farah , Mari Alda , Meunier Romain , Moriceau Véronique , Moudjari Leila , Tinarrage Valentin
Published: May 2024

In emergency situations users of social networks convey all sorts of what have been called communicative intentions, well-known since the work of Austin (1962) and Searle (1969) as speech acts (SA). While speech acts have been the focus of close scrutiny in the philosophical and linguistic literature (see (Portner, 2018) for extended discussion), their role has been only rarely understood and exploited in processing social media content about crisis events, our focus here. Current work on communicative intentions in social media are topic-oriented, focusing on the correlation between SA and specific topics such as crisis (e.g., earthquakes) but also politics, celebrities, cooking, travel, etc. It has been observed that people globally tend to react to natural disasters with SA distinct from those used in other contexts (e.g., celebrities, which are essentially made up of comments). Here, we explore the further hypothesis of a correlation between different SA types and urgency and propose an in depth linguistic and computational analysis of communicative intentions in tweets from an urgency-oriented perspective. Indeed, SA are mostly relevant to identify intentions, desires, plans and preferences towards action and to ultimately produce a system intended to help rescue teams. Our contribution is four-fold and consists of: (1) A two-layer annotation scheme of speech acts both at the tweet and sub-tweet levels, (2) A new French dataset of about 13K tweets annotated for both urgency and SA, targeting both expected (e.g., storms) and unexpected or sudden (e.g., building collapse, explosion) events, (3) A thorough analysis of the annotations studying in particular the correlation between SA and the urgency of the message, SA and intentions to act categories (e.g., human damages), and SA and crisis types, finally, (4) A set of deep learning experiments to detect SA in crises related corpora. Our results show a strong correlation between SA and urgency annotations at both the tweet and sub-tweet levels with a particular salient correlation in the latter case, which constitutes a first important step towards SA-aware NLP-based crisis management on social media.
Studies on Feed Block Formation using Mustard Straw
Authors: A Singh  , SK Jha  , JS Panwar  , A Pandeya
Published: May 2024

Moisture dependent physical properties of mustard straw like bulk density; true density and porosity were studied. The bulk and true densities increased linearly with increase in moisture content and varied from 42.5 to 55.3 kg/m3 and from 1915.56 to 1945 kg/m3, respectively as the moisture content varied from 8 to 22 per cent (w.b.). Feed blocks of mustard straw alone as ell as mixed with concentrates and molasses were prepared at different compaction pressures (209 to 419 kg/cm2) and at different moisture contents of feed. The properties of these blocks like bulk density and block resiliency were determined. Bulk density increased with increase in compaction pressure but decreased with increase in moisture content of feed. However, porosity and resilience of block decreased with increase in compaction pressure and increased with increase in moisture content of feed. Bulk density of blocks ranged from 260 to 808 kg/m3. Bulk density increased with addition of concentrates and molasses. At 15% (w.b.) moisture content the bulk density of blocks of a mixture of mustard straw (65%), concentrate (35%) and molasses (5%) varied from 571 to 669 kglm3 whereas the bulk density of blocks of mustard straw alone was in the range of 400 to 500 kg/m3. Blocks of a mixture of mustard straw, concentrate and molasses are nutritious feed and due to increase in bulk density from 42.5-55.3 (mustard straw alone) to 571-669 kg/m3 (for the mixture of mustard straw, concentrates and molasses); its handling, storage and transportation is easy and economical.
Storage of Instant Dba! in Different Packaging Films under Ambient Conditions
Authors: L. Nayak  , D.V.K. Samuel  , H. Pandey
Published: May 2024

Instant dhal was prepared by soaking the split dhal in sodium carbonate (Na,CO,), followed with cooking, drying, flaking and drying. The prepared dhal was then stored at ambient temperature (25 ± 1°C) in three different packaging materials (Polyethylene, polypropylene and polyester-aluminum-polyethylene laminate) for a period of 105 days. The quality of the stored food product was determined by measuring the peroxide value (PV), thiobarbituric acid (TBA), free fatty acid (FFA) values and conducting sensory evaluation for colour, odour, taste and overall acceptability. PFP laminate was found to be best as compared to other two packaging materials with sensory score of 6.75, 6.15, 5.75 and 6.37 for colour, odour, taste and overall acceptability after 105 days of storage. Also the PV, TBA and FFA values were 85, 0.52, 4.86, respectively after storage of the product in PFP laminate, which were best· as compared to other packaging material.
Simulation Model· A Tool for Improvement in Irrigation and Drainage Management in Brassica juncea (Mustard) at a Farmer's Field
Authors: Rajinder Singh  , Jitender Kumar  , Rakesh Kumar
Published: May 2024

Inefficient irrigation and drainage management, inadequate ground water pumpage and geohydrological condition has led to rise of water table in central and western part of Haryana state at a rate of 10 to 30 em annually during the last three decades. The adopted irrigation practice in Brassica juncea (Mustard) at a farmer's field was evaluated with the help of simulation model SWASALT. The Water Management Response Indicators were used to evaluate the performance of irrigation practice. The study revealed that good crop performance (ETre1 = 0.67) with 21.2% capillary contribution was achieved with irrigation supply of 21.5 em as water table depth varied from 110-176 em. The long term (5 years) extended simulations suggested that realizable yield of the crop (relative transpiration> 0.95) with more than 56% capillary contribution could be obtained with only one pre-sown irrigation of 8 em and 2.2 em rainfall if sub-surface drainage system installed at 1.50 m depth and 100 m spacing.
Rancang Bangun Kontrol Mesin Packing Rigid Box yang Dilengkapi Internet of Things
Authors: Wahed Tofikurrahman , Jaya Arman , Kurdianto Akhmad Arif
Published: May 2024

Dalam pembuatan Rigid Box membutuhkan banyak waktu jika dibuat secara manual atau buatan tangan. Sedangkan jika menggunakan mesin maka pembuatannya akan lebih efisien. Ada beberapa mesin yang dibutuhkan dalam pembuatan Rigid Box diantarnya yaitu mesin pemotong karton, mesin pengoles lem pada karton, dan mesin packing box. Kali ini, penulis membuat mesin dibagian fisnishing yaitu mesin packing rigid box, tapi pada hal ini untuk mempermudah pemilik mengetahui jumlah rigid box yeng telah terpacking, penulis membuat mesin packing yang dilengkapi IoT. Mesin packing Rigid Box ini merupakan mesin packing yang digunakan untuk memasang karton yang sudah terpotong dan diolesi lem, dimana mesin ini akan memasang karton dengan sendirinya pada box yang telah berbentuk kotak dengan dorongan piston yang telah terpasang di mesin tersebut.
Mesin packing Rigid Box sudah cukup banyak dijual dan digunakan di pasaran, namun tidak dilengkapi dengan IoT. Dari hal tersebut penulis membuat alat/atau mesin yang berjudul “Rancang Bangun Kontrol Mesin Packing Rigid Box yang Dilengkapi Internet of Things” yang dapat memonitoring mesin dari jarak jauh. Sehingga dengan adanya mesin ini pemilik/owner tinggal melihat ponsel untuk mengetahui ketersedian rigid box.
“Rancang Bangun Kontrol Mesin Packing Rigid Box yang Dilengkapi Internet of Things” ini bisa mempacking rigid box dengan cepat, dengan rata-rata waktu melipat karton 1,89 detik. Dan untuk rata-rata waktu keseluran yaitu dari menaruh box sampai pengambilan hasil packing box yang telah terpacking membutuhkan waktu 45,17 detik.
Developing Plastering Skills Appropriate by Building Construction Students for Self-Employment in Technical Colleges in Southern Senatorial District of Cross River State
Authors: B. O. Ebeten
Published: May 2024

This study sought to develop and validate plastering skills appropriate by building construction students for self-employment in Technical Colleges in Southern Senatorial District of Cross River State. The research design that was employed for this study was descriptive survey research design. The study was carried out in five local government areas in . The population for the study wads 672 e dress sdColleges in the , seven experts (lecturers) (four from University of Cross River State and three from College of Education, Akamkpa) and 653 masons from the 42 registered building construction companies in the Southern Senatorial District of Cross River State. The sample size used for the study was 250. This comprised 12 building construction teachers, seven experts and 231 masons from the 42 registered building construction companies in the district. Teachers and experts were not sampled; however, simple random sampling was used to sample 231 masons. The instrument that was used for data collection was researcher structure questionnaire titled: “Plastering Skills Appropriate by Building Construction Students for Self-employment (PLASABUCONSSE).” The instrument contained 31 items, 5 points Likert type scale. Cronbach Alpha reliability was used to determine the internal consistency of the instrument which yielded a reliability coefficient of 0.85. The data collected were analyzed using mean, standard deviation and One Way Analysis of Variance (ANOVA). Mean and standard deviation were used to answer the research questions while ANOVA was used to test the null hypothesis at .05 level of significance. Items with mean of 3.00 and above were considered appropriate while items with mean below 3.00 were considered not appropriate. From the study, 14 items out of 16 lime plastering tasks were considered appropriate for lime plastering skills for self-employment while 13 items out of 15 cement plastering tasks were considered appropriate for cement plastering skills for self-employment. Conclusions were drawn and, based on the findings, it was recommended among others that The National Board for Technical Education (NBTE) as well as sister agencies should adopt the developed plastering tasks for teaching plastering skills in building construction.
Acute Tuberculous Appendicitis, a Rare Entity
Authors: Gentile João Kleber de Almeida , Renesto Beatriz Terezinha Franco , Miléo Luis Fernando Alves , Oliveira André Cosme , Horta Sérgio Henrique Couto , Magella Flávia , Souza-Filho Ronaldo Modesto de
Published: May 2024

Tuberculous appendicitis is a rare disease, with an overall incidence of between 1.5-3.0% among tuberculosis patients. It was first described by Corbin et al in 1873 and since then has been rarely recorded in publications and case reports. In the USA, extrapulmonary disease is seen in around 20-30% of tuberculosis patients, with the most common extrapulmonary manifestations being bone (30%), urinary tract (24%) and lymph node (13%) involvement. A high index of suspicion is required to make the diagnosis of appendicular tuberculosis, although it can cause damage to the appendix without other signs of localized disease. We report a case of a woman diagnosed with primary tuberculous appendicitis in a patient with human immunodeficiency virus (HIV), with evidence of extra-intestinal disease.
Formulation and Evaluation of Microspheres Containing Mefenamic Acid by Inotropic Gelation Method
Authors: C. Patil Chandrashekar , Shubha Katte , S. G Ashwini. , Karajgi Santosh , Shirsand S.B.
Published: May 2024

Drugs with a narrow absorption window in the gastrointestinal tract (GIT) will have poor absorption. For these drugs, gastro retentive drug delivery system offers the advantage in prolonging the gastric emptying time. Losartan potassium is prescribed to treat hypertension. The current study was projected to prepare a Losartan potassium gastro retentive drug delivery system (GRDDS) of floating tablets was planned to enhance the gastric residence time, thus prolong the drug release. Losartan potassium effervescent floating tablets were prepared by utilizing the direct impression method, using polymers such as HPMCk15, xanthan gum, microcrystalline cellulose, and Sodium carbonate, with lubricants such as magnesium stearate and talc. In the present study, sodium bicarbonate was incorporated as a gas generating agent. And combination of sodium bicarbonate and citric acid was found to achieve optimum in vitro buoyancy. Total eight formulations were designed and evaluated for pre-compression parameters known as angle of repose, bulk density, tapped density, Hausner's ratio, compressibility index, and post -compression parameters are uniformity of weight variation, hardness, thickness, friability, floating lag time, and in vitro dissolution investigation and FTIR along with DSC is carried out
Søvnvansker blant barn og unge i habiliteringstjenesten
Authors: Griffiths Silja Torvik , Storemark Siril Straume , Ofte Sonja Helgesen
Published: May 2024

Background: Children with neurodevelopmental disabilities (NDD) have an increased risk of sleep problems that can negatively affect development and life quality for the whole family. The aim of this study was to investigate the prevalence and types of sleep-related problems among children and adolescents with NDDs, and whether these were adequately addressed. Methods: Outpatients aged from 0 to 18 years or their caregivers attending clinical appointments at a habilitation ward were invited to complete a questionnaire regarding sleep problems. Diagnostic groups among the respondents included cerebral palsy, syndromes/genetic conditions, delayed psychomotor development, intellectual disability, myopathies and others. Results: Ninety-three patients participated. Forty respondents reported having sleep problems, 47 reported no sleep problems and six were uncertain. Difficulties in falling asleep and frequent sleep disturbances were the most common sleep problems reported. The majority of respondents had received advice regarding sleep and considered sleep as important to health, but not all of them had been asked. Conclusion: This study provides an overview of sleep problems in children with NDDs, confirms a high prevalence in this group, and indicates the need for continued focus.

Keywords: sleep problems, neurodevelopmental disorders, habilitation, children and adolescents
A Study of Problems Faced by Engineering Students in Mathematical Subjects using Fuzzy Cognitive Mappings
Authors: Muna Al Kalbani
Published: May 2024

Introduction: One of the main concerns and issues for educators, particularly for engineering students, has been the caliber of mathematics instruction and learning. There are many different concepts and skills that make up mathematics. The improvement of problem-solving skills is one of mathematics' key functions. Numerous colleges struggle with the issue of students quitting because of mathematics because it is frequently thought of as a topic that students find difficult to master.
Objectives: The study's goal is to examine the reasons why engineering students struggle with math. In this research, using fuzzy cognitive map techniques (FCM), we analyze the challenges engineering students encounter when trying to earn grades in math-related courses. FCM is a blend of some fuzzy logic and neural network ideas. FCM is made up of collections of concepts and all the different causal relationships that connect them.
Methods: We created a model of the issues and causal relationships that engineering students faced when trying to succeed in mathematics classes. Both statically and dynamically, utilizing concepts from graph theory and simulations, the model is examined. Also we applied DEMATEL one of the Multi Criteria Decision Making method.
Results: The analysis reveals that the main issue is not just the students' lack of mathematical background knowledge, but also their attitude toward learning, psychological response to the first failure, and lack of effort to complete additional tasks or attend tutorials.
Conclusions: Using the FCM method, a model was created for the case of problems faced by engineering college students in scoring marks in mathematical related subjects based on the opinion of a domain expert. The model was first examined statically. The model was then simulated in a dynamic and it was predicted that there should be an attitude change in teachers and as well as students. Through the above static and dynamic studies of the FCM model was identified as important and useful decision support system, since it capable to provide support to decision makers, by making predictions on various scenarios that are imposed on the FCM model.
Coincidence Point Results for a New Class of Fuzzy Contractive Mappings
Authors: Prapoorna Manthena
Published: May 2024

This work is mainly aimed to enhance the concept of fuzzy Z-contractive mapping [11] by establish a different contraction called fuzzy (Z,g)- contraction.   we obtain some sufficient conditions for the existence and uniqueness of point of coincidence of fuzzy (Z,g)- contraction mappings in the context of fuzzy metric spaces and prove some intriguing results.
Fuzzy Soft Paranormal Operator in Fuzzy Soft Hilbert Space
Authors: A Radharamani
Published: May 2024

This paper defines the fuzzy soft paranormal operator and discusses several fundamental fuzzy soft paranormal operator properties in fuzzy soft hilbert space. Some concepts relevant to the fuzzy soft paranormal operator have been defined in fuzzy soft Hilbert space.
A Two-Warehouse Inventory System with Time-Dependent Demand and Preservation Technology
Authors: Puneet Kumar
Published: May 2024

Because of rapid environmental changes in current worldwide society, preserving technique is becoming increasingly crucial. With the aim to examine this idea, we created a model for two-warehouse inventory system that incorporates preservation technique investments. The model considers time as a linear function representing the rate of demand. Time-dependent demand is a common feature in many industries, where demand fluctuates over time due to various factors such as seasonality and market trends. The stock is kept in the restricted storage area (OW) and other warehouse (rented) is utilized for keep any excess stock that exceeds the OW's storage limit. The stock in RW is consumed first, followed by the stock in OW, as the cost of holding of the rented warehouse (RW) is more than that of the owned warehouse (OW). This paper does not allow for shortages. We use numerical simulations to illustrate the effectiveness of our proposed model under various parameters.
Nonlinear Matlab/Simulink-Based Mathematical Modeling of Solar Photovoltaic Modules for Power Generation
Authors: Chairma Lakshmi K R
Published: May 2024

Solar photovoltaic (PV) arrays comprised of modules are the most important power conversion elements of solar PV-generating systems. Because of the nonlinear characteristics of the solar PV array, determining its operating curves under various operating conditions is a laborious and expensive process. To overcome these barriers, engineers have updated multiple engineering software platforms, including Matlab and Simulink, to incorporate standardized and simplified solar panel designs. Nevertheless, these models are unsuitable for implementation in hybrid energy systems due to their intuitive nature and the need to manually adjust specific system parameters. Consequently, this article outlines a systematic process for simulating photovoltaic cells, modules, and arrays utilizing Matlab and Simulink. The reference model utilised is a 100-watt solar panel. Additionally, the operational characteristics of PV arrays under a broad spectrum of physical parameters and operating conditions are investigated. The simulation investigation is conducted for three distinct weather scenario conditions: cloudless days, days with moderate clouds, and days with heavy overcast conditions. When solar irradiation falls from 1 KW/m2 to 100 W/m2, the resulting voltage, current, and output power all decrease. The output power and voltage increase slightly as the temperature decreases, but the output current from solar PV panels remains approximately constant. The I-V and P-V curves of the solar photovoltaic module are significantly influenced when the shunt resistance changes from 1000 Ω to 0.1 Ω, resulting in a noticeable decrease in power output.
Discursive Web-Based Schizophyllum commune (Kurakding) Knowledge Bank: A Repository of Regional Knowledge for Sustainable Use and Development
Authors: Salvador V.  Briones
Published: May 2024

Kurakding (Schizophyllum commune) mushrooms are renowned for their health-promoting and medical benefits and is considered a high-value farm product. Its popularity in Bicol Region, Philippines, makes it in-demand, which therefore makes it an expensive commodity. Recognizing the significance of this commodity, the Kurakding Information System (KIS) was designed and developed to serve as a repository of regional knowledge for its sustainable use and development. Specifically focusing on functionalities that allow the users to create content, retrieve knowledge, and interact with other users using social network services. During the design and development, an innovative software development model, the KIS Software Development Paradigm (KISSDP) was used. This model is a systematic integration of methods and techniques on software development practices adopting concepts and standards from Agile software development methodologies which establishes an explicit compliance with the ISO/IEC 25010 standards. Following Jakob Nielsen's principles for interaction design, KIS was subjected to rigorous testing and evaluation measuring the system's user interface in conformance with UI design standards. Achieving high ratings in usability (95.90%), acceptability (94.67%) and reliability (93.33%). Given the limited study on the development and evaluation of information systems designed to support the marginalized sectors in the country, it is our hope that this research study provides significant insights into the software quality principles and competencies as universal standards for various software development projects that boost favorable customer satisfaction and optimum user experience.
Crop Price Prediction Using Machine Learning
Authors: Nitesh Singh
Published: May 2024

Crop price prediction is a pivotal aspect of agricultural economics, impacting stakeholders across the industry, from farmers to policymakers to consumers. Traditional methodologies often struggle to provide accurate and efficient predictions, primarily due to the intricate and ever-changing nature of agricultural markets. However, in recent years, the emergence of machine learning techniques has offered promising solutions to enhance crop price prediction. This paper conducts an extensive review of various machine learning approaches utilized for this purpose, covering regression-based methods, time series forecasting techniques, ensemble methods, deep learning strategies, and hybrid models. We delve into the unique strengths, limitations, and practical applications of each technique. Moreover, we address the prevalent challenges associated with employing machine learning in crop price prediction, such as data accessibility, feature selection, model interpretability, scalability, and generalization. Additionally, we look ahead to future research avenues and opportunities aimed at refining the accuracy and utility of machine learning models in predicting crop prices. Through this comprehensive review, we aim to provide valuable insights for researchers, practitioners, and policymakers, facilitating informed decision-making in agricultural contexts through the utilization of machine learning methodologies.
PySINDy: A Python Library for Model Discovery
Authors: Silva Brian de
Published: May 2024

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data
Olsson.wl & ROC2.wl: Mathematica packages for transformations of multivariable hypergeometric functions & regions of convergence for their series representations in the two variables case
Authors: Bera Souvik
Published: May 2024

We present the Olsson.wl Mathematica package which aims to find transformations for some classes of multivariable hypergeometric functions. It is based on a well-known method developed by P. O. M. Olsson in J. Math. Phys. 5, 420 (1964) to derive the analytic continuations of the Appell F_1 double hypergeometric series using the linear transformations of the Gauss _2F_1 hypergeometric function. We provide a brief description of the method of Olsson and demonstrate the use of the commands of the Olsson.wl package using some examples. In particular, we reproduce various results of the literature on multivariable hypergeometric functions and show practical applications of this package in the derivation of novel formulas. In the context of high energy physics, we also demonstrate how it can be used to disentangle some known results about the analytic continuation of some series representations of the one-loop pentagon in multi-Regge kinematics and D=6-2ϵ. We also present companion package, called ROC2.wl, which is dedicated to the derivation of the regions of convergence of double hypergeometric series. This package can be used independently of Olsson.wl.
Deep Delay Autoencoders Discover Dynamical Systems w Latent Variables: Deep Learning meets Dynamics!
Authors: Bakarji Joseph
Published: May 2024

A central challenge in data-driven model discovery is the presence of hidden, or latent, variables that are not directly measured but are dynamically important. Takens' theorem provides conditions for when it is possible to augment these partial measurements with time delayed information, resulting in an attractor that is diffeomorphic to that of the original full-state system. However, the coordinate transformation back to the original attractor is typically unknown, and learning the dynamics in the embedding space has remained an open challenge for decades. Here, we design a custom deep autoencoder network to learn a coordinate transformation from the delay embedded space into a new space where it is possible to represent the dynamics in a sparse, closed form. We demonstrate this approach on the Lorenz, Rössler, and Lotka-Volterra systems, learning dynamics from a single measurement variable. As a challenging example, we learn a Lorenz analogue from a single scalar variable extracted from a video of a chaotic waterwheel experiment. The resulting modeling framework combines deep learning to uncover effective coordinates and the sparse identification of nonlinear dynamics (SINDy) for interpretable modeling. Thus, we show that it is possible to simultaneously learn a closed-form model and the associated coordinate system for partially observed dynamics.
The Bézier curve and neural network model of the time-domain transient signals
Authors: Eroglu Emre
Published: May 2024

The discussion is for the memory of Oleg Alexandrovich Tretyakov. In the discussion, one characteristic of the signal transfer of Professor Tretyakov's Evolutionary Approach to the Electromagnetics method is presented. Theoretically, the problem of the signal generated by a time-domain signal in a waveguide is addressed. The theoretic propagation is realized-exemplified through the actual TEC (TECU) map estimating by the Bézier curve and neural network. The striking aspect of the segmented prototype established with the Bézier approach is its adaptability. This mechanical curve, which does not need any preliminary preparation, is framed on differential geometric invariants. In the essay, a time-dependent complete set of magnetic waveguide modes is remembered. While the Dirichlet and Neumann eigenvalue problems determine the vector functions of the modes, the behavior of the time-evolving amplitudes is given by the Klein-Gordon equation. Examples of current data are discussed with the TEC map for the 2017 year. While the actual fluctuation of the interpolated CODE TEC atlas is illustrated, the mechanical Bézier curve family (untouched before) and the neural network introduce time-domain estimations to the reader. The parametric curve approach governs the Bézier model. The curve, which is C0 class segmented continuously, models on its way with new hourly components every twelve hours. The network model employs the solar wind parameters for the TEC atlas estimation. The reliability and consistency of the models are exhibited by the R correlation ratio, absolute error, and mean squared error. As a result, the R coefficient of the curve and network models vary around 91.2% and 98.8%, respectively. One can note the error of the network model falls to 1.1308 TECU. The outcomes are compatible with the former discussions.
Data-Driven Resolvent Analysis
Authors: Herrmann Benjamin
Published: May 2024

Benjamin Herrmann describes a data-driven algorithm to perform resolvent analysis from fluid mechanics to obtain the leading forcing and response modes, without recourse to the governing equations, but instead based on snapshots of the transient evolution of linearly stable flows. This approach is based on two established facts: 1) dynamic mode decomposition can approximate eigenvalues and eigenvectors of the underlying operator governing the evolution of a system from measurement data, and 2) a projection of the resolvent operator onto an invariant subspace can be built from this learned eigendecomposition.
Efficient Predictive Regulation Algorithms for AGV System in Industrial Internet
Authors: Chao-Hsien Hsieh Chao-Hsien Hsieh , Chao-Hsien Hsieh Xinyu Yao , Xinyu Yao Ziyi Wang , Ziyi Wang Hongmei Wang
Published: May 2024

In recent years, the industrial Internet has developed rapidly. In order to improve the reliability, real-time, and economy, Automated Guided Vehicle (AGV) in intelligent manufacturing system becomes an indispensable technology. However, the current AGV system relies too much on the fixed network bandwidth environment in information transmission and management. When the traffic demand changes frequently, this form of network configuration lacks network resource management mechanism. Further, it leads to the problems of delay, waste of network flow, and inability to dynamically allocate network resources. So it is vital to improve the AGV system. Therefore, this paper proposes three predictive control algorithms and a Network Cable Scheduling algorithm to manage the network resources. They are Markov Chain Linear Programming Regulation (MCLPR) algorithm, Prophet Linear Programming Regulation (PLPR) algorithm, and Machine Learning Linear Programming Regulation (MLLPR) algorithm. The experimental results show that PLPR and MLLPR algorithm have high efficiency in the aspect of regulation. MLLPR algorithm has the lowest cost. MLLPR algorithm has the strongest leakage limitation ability, followed by PLPR algorithm. The balance regulation efficiency of MLLPR in none “4 + 1” mode is the highest in different network cable modes.

 
The Influence of Distance Learning Contracted Live Teaching Strategies on Learning Effectiveness, Learning Motivation, Self-efficacy, and Cognitive Load
Authors: Yu-Chen Kuo Yu-Chen Kuo , Yu-Chen Kuo Hao-Chiang Koong Lin , Hao-Chiang Koong Lin Yu-Hsuan Lin , Yu-Hsuan Lin Yi-Jia Li
Published: May 2024

Distance learning lacks person-to-person interaction, which makes learning less interesting. While peer interaction can gain the support, assistance, and discussion of peer empathy, which can effectively motivate learning. This study proposes a remote peer live learning strategy, which allows learners to conduct peer learning anytime and anywhere via the Internet and uses peer-to-peer video methods to conduct peer-to-peer live teaching. Explores the influence of adding peer factors on their learning effectiveness and learning motivation. The findings of this study are as follows: (1) The learners who use peer live teaching strategy, regardless of whether they are high or low achievement, can effectively improve their learning effectiveness, learning motivation and reduce their cognition compared with those who use general distance teaching. (2) Students who utilized the peer-to-peer live teaching platform exhibited notably higher levels of technology acceptance compared to their counterparts enrolled in the conventional distance learning system.

 
Blockchain-based Pipeline Custody System (BPCS) for Preserving Critical Video Evidence
Authors: Yun-Yi Fan Yun-Yi Fan , Yun-Yi Fan Chit-Jie Chew , Chit-Jie Chew Wei-Che Hung , Wei-Che Hung Ying-Chin Chen , Ying-Chin Chen Jung-San Lee
Published: May 2024

The explosive development of network technology has driven the evolution of civilization, leading to the higher crime rate. Hence, CCTV cameras have been widely deployed to monitor criminal behaviors. The video of CCTV is considered as significant digital evidence. Due to the property of digital data, it is easily to copy and modify without electronic footprint, unlike the physical records. In case, the law enforcement starts to employ the blockchain technique due to its advantages, decentralization, transparency, and traceability, which can improve the legal effect. Unfortunately, blockchain network produces the tremendous overhead when it processes the data preservation based on the distributed communication. Thus, the gap and burden of data synchronization are the derivative issues. In order to solve the above problems, we aim to realize a blockchain-based pipeline custody system, so-called BPCS. The critical frame determination (CFD) technique is designed to catch the potential evidence image from the monitor, which is able to mitigate the storage cost of blockchain. Especially, the pipeline and directional ring strategy is proposed to aggregate the potential evidence in a batch file. This can reduce the burden on the chain of custody and shorten the time gap. The experimental results have demonstrated that BPCS can firmly possess the features of credibility and efficient through the comparisons and storage simulation.

 
Anomaly Detection Model of Time Segment Power Usage Behavior Using Unsupervised Learning
Authors: Wen-Jen Ho Wen-Jen Ho , Wen-Jen Ho Hsin-Yuan Hsieh , Hsin-Yuan Hsieh Chia-Wei Tsai
Published: May 2024

In Taiwan, the current electricity prices for residential users remain relatively low. This results in a diminished incentive for these users to invest in energy-saving improvements. Consequently, devising strategies to encourage residential users to adopt energy-saving measures becomes a vital research area. Grounded in behavioral science, this study introduces a feasible approach where an energy management system provides alerts and corresponding energy-saving recommendations to residential users upon detecting abnormal electricity consumption behavior. To pinpoint anomalous electricity usage within specific time segments, this research employs an unsupervised machine learning method, developing an anomaly detection model for the overall electricity consumption behavior of residential users. The model focuses on analyzing 2-hour intervals of electricity consumption, enabling more effective detection of abnormal usage patterns. It is trained using power consumption data collected from five actual residential users as part of an experimental study. The results indicate that the proposed anomaly detection model achieves performance metrics such as Precision, Recall, and F1-score of 0.90 or above, showcasing its potential for practical implementation.

 
服飾品牌企業社會責任與品牌依附關係之研究
Authors: 周建亨 周建亨 , Chien-Heng Chou 江秋慧
Published: May 2024

在同類商品眾多的時代，企業提供著許多的產品讓消費者進行選購，而如何建立消費者情感連結，並維持長期之依附關係，是每個企業都正在積極努力的，像是參與社會公益活動等。因此，本研究在探討企業是否可經由落實社會責任而影響顧客對品牌的依附，使企業利於提升品牌價值與競爭優勢。

本研究以服飾品牌為研究產業，研究對象以近半年內購買過服飾品牌之消費者為主要調查族群，資料收集工具為結構式問卷，發放203份問卷，有效問卷為176份。實證結果顯示，在控制產品品質的影響下，企業落實社會責任能正面影響消費者對品牌的依附程度。根據研究結果，提出在品牌經營上之意涵與未來研究建議，供企業日後在進行產品規劃或制定決策、以及後續研究人員做參考。

 

In an era with numerous similar products, companies offer a variety of products for consumers to choose from. Establishing an emotional connection with consumers and maintaining long-term attachment relationships are actively pursued by every enterprise. This includes participating in social welfare activities, among other efforts. Therefore, this study explores whether companies can impact customer brand attachment by implementing social responsibility, thereby enhancing brand value and competitive advantage for the company.

This study focuses on the apparel industry, with consumers who have purchased clothing brands in the past six months as the main survey group. The data collection tool employed was a structured questionnaire, distributed to 203 respondents, with 176 valid responses obtained. The empirical results indicate that, under the control of product quality, the implementation of corporate social responsibility has a positive impact on consumers’ brand attachment. Based on the research findings, implications for brand management and future research recommendations are proposed, serving as references for businesses in future product planning, decision-making, and for subsequent researchers.

 
Adesão à terapia antirretroviral e coinfecção de sífilis e hepatites virais: estudo comparativo de pessoas que vivem com HIV/AIDS em situação de rua e não situação de rua de um Serviço de Atendimento Especializado de Porto Alegre, Rio Grande do Sul
Authors: Ikeda Maria Leticia , Avila Simone , Acosta Lisiane , Mattos Bruna da Rosa , Thomazi Guilherme Lamperti , Vieira Verônica Barsanti , Zimmermann Bianca , Heidemann Eduardo Gheller , Silva Daila Alena Raenck da
Published: May 2024

Introdução: Após a pandemia de coronavírus, o número de pessoas em situação de rua (PSR) aumentou nas capitais brasileiras, incluindo Porto Alegre. Nesse contexto, um Serviço de Atendimento Especializado em HIV/AIDS (SAE) no centro da cidade, com Consultório na Rua, acolhe um grande contingente de PSR. Estudos enfatizam que grupos como PSR enfrentam desafios extras na adesão ao tratamento do HIV/AIDS. Objetivo: Analisar a adesão à terapia antirretroviral (TARV) e prevalência de coinfecções de sífilis e hepatites virais das PSR cadastradas em um SAE do município e compará-las às pessoas que não estão em situação de rua. Métodos: Estudo transversal descritivo, com metodologia quantitativa, de dados de prontuários de usuários/as cadastrados/as nesse serviço no período de 2013 a 2023. Resultados: O SAE tem 3.852 cadastros no serviço, dos quais 278 apresentaram histórico de situação de rua, representando 7,2% dos/as usuários/as. Quanto à adesão, 76 (27,3%) têm histórico de abandono da TARV, dos quais 36 (47,4%) retornaram ao tratamento e 5 (6,6%) o abandonaram novamente. A coinfecção encontrada foi de 36 (12,9%) para sífilis e 19 (6,8%) para hepatites virais, especialmente do tipo C. Das pessoas que não estão em situação de rua, 8,2% abandonaram o tratamento em algum momento, 7,3% retornaram de abandono e 0,5% abandonaram novamente o tratamento. A respeito da coinfecção, 7,1% têm sífilis, e 2,6%, hepatite. Conclusão: Comparando PSR com pessoas que não estão em situação de rua, as PSR abandonam o tratamento três vezes mais, com quase metade delas retomando após o abandono. O reabandono entre PSR é quase 7 vezes maior, e coinfecções como sífilis e hepatites são mais comuns nelas. Esses achados enfatizam abordagens específicas para adesão e prevenção de coinfecções nas PSR, em razão da maior prevalência. Políticas de saúde devem considerar suas particularidades, visando aprimorar vinculação, retenção e tratamento, incluindo suporte social.
Prevalência de sífilis no Rio Grande do Sul conforme idade e sexo: resultados do estudo atitude
Authors: Rocha Ana Carolina Monteiro da , Miranda Giovana Petracco de , Eidt Gustavo , Santos Aniusca Vieira dos , Bidinotto Augusto Bacelo , Wendland Eliana Márcia
Published: May 2024

Introdução: Na última década houve um aumento na notificação de casos de sífilis no Brasil, sendo as taxas de detecção no estado do Rio Grande do Sul (RS) historicamente maiores do que as taxas nacionais. Assim como outras infecções sexualmente transmissíveis (IST), o padrão de infecção por idade tem sido associado a maiores prevalências em adultos jovens. Objetivo: Avaliar a prevalência de sífilis conforme idade e sexo no Rio Grande do Sul. Métodos: Foram utilizados dados do Estudo Atitude, um inquérito transversal de base populacional realizado entre 2020 e 2021 no RS. Adultos selecionados a partir de amostragem complexa responderam a um questionário estruturado e tiveram amostras de sangue capilar coletadas. O diagnóstico de sífilis foi realizado por uma combinação de testes treponêmicos e não treponêmicos, seguindo as diretrizes do Ministério da Saúde. Foram considerados como sífilis ativa todos os participantes com Venereal Disease Research Laboratory (VDRL) positivo (independentemente da titulação) ou TPHA reagente. Estimativas de prevalência, com intervalo de confiança de 95% (IC95%), foram ajustadas pelos pesos amostrais e comparadas entre grupos etários e entre sexos. Resultados: Um total de 8.006 participantes foi avaliado, sendo a idade média de 49,1 (47,8–50,4) anos. A prevalência geral de sífilis foi de 6,59% (5,88–7,39%), sendo semelhante entre os sexos (masculino: 7,14%, feminino: 6,29%, p=0,12). Enquanto a distribuição da prevalência por idade nas mulheres foi maior nas duas faixas etárias mais extremas (18–27 anos: 11,5% [9,26–14,30%], >78 anos: 10,4% [6,92–15,40%]), nos homens ela foi maior na faixa de 68 a 77 anos (14,9% [11,30–19,30%]). Conclusão: A prevalência de sífilis neste estudo foi alta. As maiores taxas observadas foram em indivíduos mais idosos, ao contrário do senso comum. Estratégias de rastreamento e prevenção precisam ser intensificadas nessa população.
Perfil sociodemográfico e epidemiológico das parcerias sexuais de mães de recém-nascidos notificados com sífilis congênita em Arapiraca, Alagoas
Authors: Miranda Gisele Barbosa , Gabriel Gleicy Kelly Marques , Macêdo Nayara Rafaella Holanda Oliveira de , Santos Adryelle Aparecida dos , Oliveira Paula Rafaella Santos de , Farias Karol Fireman de , Passos Mauro Romero Leal
Published: May 2024

Introdução: A sífilis congênita é uma infecção. Ocorre quando a bactéria Treponema pallidum atravessa a placenta e contamina o feto. Durante a investigação diagnóstica, fazem-se necessários o tratamento e o acompanhamento das parcerias sexuais dos casos notificados, bem como promover o diagnóstico precoce e prevenir reincidência da doença. Objetivo: Descrever as características sociodemográficas e epidemiológicas das parcerias sexuais dos casos de sífilis congênita notificados no município de Arapiraca, Alagoas. Métodos: Estudo descritivo de caráter quantitativo cuja coleta de dados ocorreu nos meses de maio a julho de 2023 por meio da aplicação de questionários com as parceiras sexuais de parturientes que tiveram filhos notificados com sífilis congênita nas maternidades de referência do município entre os anos 2021 e 2023. Estudo aprovado pelo Comitê de Ética da Universidade Federal Fluminense sob Parecer nº 6.044.382. Resultados: Foram entrevistados 17 parceiros que afirmaram serem pais das crianças e residirem com as parturientes. A maioria das parcerias sexuais das parturientes deste estudo era jovem (87%, n=16) na faixa etária de 19 a 30 anos, com menos de sete anos de estudo (81%, n=13) e renda média de um salário mínimo (75%, n=12). A maioria referiu não ter antecedentes de sífilis (81%, n=13), ter realizado diagnóstico e tratamento após notificação do caso de sífilis congênita da criança. Cerca da metade das parcerias (53%, n=9) compareceu às consultas de pré-natal, contudo relatou ir apenas como acompanhante da gestante. Conclusão: A maioria das parcerias sexuais das parturientes deste estudo era jovem e com pouca escolaridade. Nenhuma das parcerias foi consultada durante o pré-natal. O pré-natal das parcerias sexuais precisa ser priorizado no Sistema Único de Saúde (SUS) e disseminado para a população por meio de educação em saúde. Monitoramentos efetivos dessa prática precisam ser realizados pelas instituições que notificam, assim como melhorar a qualidade dos pré-natais.