bluuebunny/crossref_metadata_2025 huggingface dataset:
Resource Allocation Optimization in IoT-Enabled Water Quality Monitoring Systems
Authors: Olatinwo Segun O. , Joubert Trudi H.
Published: November 2023

Water quality monitoring systems that are enabled by the Internet of Things (IoT) and used in water applications to collect and transmit water data to data processing centers are often resource-constrained in terms of power, bandwidth, and computation resources. These limitations typically impact their performance in practice and often result in forwarding their data to remote stations where the collected water data are processed to predict the status of water quality, because of their limited computation resources. This often negates the goal of effectively monitoring the changes in water quality in a real-time manner. Consequently, this study proposes a new resource allocation method to optimize the available power and time resources as well as dynamically allocate hybrid access points (HAPs) to water quality sensors to improve the energy efficiency and data throughput of the system. The proposed system is also integrated with edge computing to enable data processing at the water site to guarantee real-time monitoring of any changes in water quality and ensure timely access to clean water by the public. The proposed method is compared with a related method to validate the system performance. The proposed system outperforms the existing system and performs well in different simulation experiments. The proposed method improved the baseline method by approximately 12.65% and 16.49% for two different configurations, demonstrating its effectiveness in improving the energy efficiency of a water quality monitoring system.
An Uncertainty Model for Strain Gages Using Monte Carlo Methodology
Authors: Haslbeck Matthias , Böttcher Jörg , Braml Thomas
Published: November 2023

For the purpose of validation and identification of mechanical systems, measurements are indispensable. However, they require knowledge of the inherent uncertainty to provide valid information. This paper describes a method on how to evaluate uncertainties in strain measurement using electric strain gages for practical engineering applications. Therefore, a basic model of the measurement is deduced that comprises the main influence factors and their uncertainties. This is performed using the example of a project dealing with strain measurement on the concrete surface of a large-span road bridge under static loading. Special attention is given to the statistical modeling of the inputs, the underlying physical relationship, and the incorporation and the impact of nonlinearities for different environmental conditions and strain levels. In this regard, also experiments were conducted to quantify the influence of misalignment of the gages. The methodological approach used is Monte Carlo simulation. A subsequent variance-based sensitivity analysis reveals the degree of nonlinearity in the relationship and the importance of the different factors to the resulting probability distribution. The developed scheme requires a minimum of expert knowledge of the analytical derivation of measurement uncertainties and can easily be modified for differing requirements and purposes.
Recovery Phase Nutrition and Insulin Strategies for a Collegiate Distance Runner with Type 1 Diabetes Mellitus: A Case Study
Authors: Schroeder Amie E. , Rosenkranz Richard R. , Yarrow Linda K. , Haub Mark D. , Rosenkranz Sara K.
Published: November 2023

Purpose: There is scant published research regarding nutrition and insulin strategies for athletic performance in collegiate distance runners with type 1 diabetes mellitus (CDRT1). Acute carbohydrate supplementation (CHOsup) and insulin reduction used to minimize hypoglycemia during exercise may result in deteriorated glycemic control post exercise in CDRT1. The present case study of a CDRT1 investigated outcomes associated with a moderate-carbohydrate (ModCHO) diet and 24 h insulin adjustment during recovery phases for improved glycemic control and reduced use of acute strategies. Methods: During an 8-day period, a female CDRT1 followed a ModCHO (~4 g/kg/day) nutrition program. Recovery phase adjustments to insulin doses were made using an equation developed to estimate reduced insulin needs post exercise, as a function of exercise intensity and duration. Daily training was performed in the fasted state at 6:00 a.m. and included additional exercise strategies to reduce glycemic variability when needed. Daily blood glucose time-in-range (TIR) and use of CHOsup were assessed. Athlete well-being was determined using the Student-Athlete Well-Being Scale (SAWS)TM at baseline, and days 1, 3, and 7. Results: Throughout the 8-day period, mean TIR increased (77% versus < 50%) and the magnitude of glycemic excursions decreased (~3.8–15 versus ~3.0–26 mmol/L) relative to a prior comparison period. Minimal pre-exercise CHOsup was employed and CHOsup during exercise was not required. Additionally, the athlete achieved a new lifetime best in the 5000 m run and maintained positive well-being. Conclusion: The present case study provides examples of recovery phase strategies (i.e., ModCHO diet and 24 h insulin adjustments) that may support glycemic control and athletic performance in CDRT1 and provides potential considerations for nutrition and insulin strategies for use by athletes and coaches.
Site Quality Evaluation Model of Chinese Fir Plantations for Machine Learning and Site Factors
Authors: Gao Weifang , Dong Chen , Gong Yuhao , Ma Shuai , Shen Jiahui , Lin Shangqin
Published: November 2023

Site quality evaluation is an important foundation for decision-making and planning in forest management and provides scientific decision support and guidance for the sustainable development of forests and commercial plantations. Site index and site form models were constructed and subsequently compared utilizing fir (Cunninghamia lanceolata) plantations in Nanping City, Fujian Province, China. This papers aim was to construct a site quality classification model, conduct further analysis on the effects of different site factors on the quality of the site, and achieve an assessment of site quality for Chinese fir plantations. An algebraic difference approach was used to establish a site index model and a site form model for Chinese fir in Fujian Province. The suitability of the two models was compared using model accuracy analysis and partial correlation, and the optimal model was chosen for classifying the site quality of the stands. On this basis, a site quality classification model was established using the random forest algorithm, and the importance of each site factor was determined through importance ranking in terms of their impact on site quality. Within the study area, the R2 of the site index model results was 0.581, and the R2 values of the five site form models based on different reference breast diameters, ranked from high to low, were 0.894, 0.886, 0.884, 0.880, and 0.865. The bias correlation coefficient between site form and stand volume was 0.71, and the bias correlation coefficient between site index and stand volume was 0.52. The results confirmed that the site form model is better suited for evaluating the site quality of Chinese fir plantations. The random forest-based site form classification model had a high classification accuracy with a generalization accuracy of 0.87. The factors that had the greatest impact on site form were altitude, canopy closure, and slope gradient, whereas landform had the smallest impact on site form. These results can provide a reference for the evaluation of the site quality of plantations and natural forests in southern China to ensure the long-term sustainable use of forest resources.
Characteristics and Reasons of Manual Shade Use in a Green Office Building: A Questionnaire Based Study
Authors: Yuan Jinyu , Yao Jian , Zheng Rongyue
Published: November 2023

The manual operation of manual shades plays a significant role in actual building performance. The characteristics of the use of shade and the reasons behind it in a green office building in China have been investigated in this paper. A questionnaire survey with 23 questions was designed and a total of 146 occupants in an office building were invited to take part in the survey. Statistical tests and approaches including non-parametric correlation, cross-tabulation, correspondence analysis and clustering were used to identify shade use patterns and their relation with contextual factors. The results show that sitting closer to windows does not necessarily increase shade actions and most shade raise occurs upon arrival and in the morning while most shade-lowering actions appear at noon and in the afternoon. Two and six clusters were revealed by clustering, respectively, for the time of raising and lowering actions. Regarding the relationship between raising and lowering time, three behavior patterns were identified by correspondence analysis. The first group of occupants typically raise the shades upon arrival or in the morning and lower them in the afternoon. The second group has a tendency to lower the shades upon arrival or in the morning and raise them at noon. The last group often raises the shades upon arrival, lowers them at noon or departure, and occasionally raises them again at departure. Given the current situation of light and shade use, daylight, occupancy and shade-based lighting control have the potential for reducing the lighting energy.
A Comparative Study of Genetic Algorithm-Based Ensemble Models and Knowledge-Based Models for Wildfire Susceptibility Mapping
Authors: Al-Shabeeb Abdel Rahman , Hamdan Ibraheem , Meimandi Parizi Sedigheh , Al-Fugara A’kif , Odat Sana’a , Elkhrachy Ismail , Hu Tongxin , Sammen Saad Sh.
Published: November 2023

Wildfire susceptibility mapping (WSM) plays a crucial role in identifying areas with heightened vulnerability to forest fires, allowing for proactive measures in fire prevention, management, and resource allocation, ultimately leading to more effective fire control and mitigation strategies. This paper describes our undertaking to develop and compare the performance of two knowledge-based models, namely the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS), as well as two novel genetic algorithm (GA)-based ensemble data-driven models: boosting and random subspace. The objective was to map susceptibility to forest fires in the Northern Mazar District in Jordan. The ensemble models were constructed using four well-known classifiers: decision tree (DT), support vector machine (SVM), k-nearest neighbors (kNN), and naive Bayes (NB) algorithms. This study utilized seventy forest fire locations and twelve influential factors to build and evaluate the models. To identify the optimal features for constructing the data-driven models, a GA-based wrapper method and four machine learning models were applied. During the validation phase, the area under the receiver operating characteristic curve (AUROCC) values for the single SVM, single NB, single DT, single kNN, GA-based boosting, GA-based random subspace, FR-AHP, and AHP-TOPSIS models were found to be 85.3%, 85.9%, 73.8%, 88.7%, 95.0%, 95.0%, 74.0%, and 65.4% respectively. The results indicated that the GA-based ensemble models outperformed both the single machine learning models and the knowledge-based techniques in terms of performance. The developed models in this study can be effectively utilized in various management and decision-making processes aimed at mitigating forest fire risks and enhancing fire control strategies.
Factors Affecting Indoor Temperature in the Case of District Heating
Authors: Chicherin Stanislav , Zhuikov Andrey , Junussova Lyazzat
Published: November 2023

In this study, the influence of variables defining indoor temperature is studied, focusing on operational data and visual and technical inspections rather than the temperature control setpoints and occupancy schedule. This is incorrect because infiltration and insolation are highly variable. This results in lowering the temperature difference between the supply and return lines, overheating some spaces, lowering the indoor temperature in others, and poor hydronic balancing. The novelty lies in studying the actual operating condition of real district heating (DH) systems. The research hypothesis is that internal heat gains along with the infiltration of and variations in outdoor temperature cause daily changes in indoor temperature. These factors seem to be the primary reasons for the variations in supply and return temperature, if the rate of energy loss is not large in new office buildings constructed according to tightened contemporary energy conservation regulations. The saving effect is achieved by allowing the energy to be dumped into building envelopes; thus, the flow rate or supply temperature are varied in a narrower range. Dumping heat by using the storage capacity of building envelopes is suggested. The corrected design approach minimizes energy consumption and increases annual performance (e.g., by 14.1% here). Advantages are achieved by tuning a controller at a DH substation.
Exploring the Moderating Role of COVID-19 on the Adaptive Performance and Project Success: Inching towards Energy Transition
Authors: Haris Muhammad , Yang Qing , Khokhar Munnawar Naz , Akram Umair
Published: November 2023

Globally, approximately one-third of greenhouse gas (GHG) emissions are attributed to the energy sector. The global efforts to reduce emissions by 45 percent by 2030 in pursuit of net-zero emission targets depend on the timely completion of renewable energy projects. Among numerous internal and external factors that influence the success of projects, the performance of the workforce in response to changing project dynamics is a key yet little-explored factor. As such, the complexities and uncertainties brought about by the COVID-19 pandemic only enhanced the intensity of existing challenges faced by the workforce. This study investigates the moderating impact of the COVID-19 pandemic on the relationship between adaptive performance and the success of wind power plants in Pakistan. By drawing a sample size of 345 project personnel and using SMART PLS 4, the findings indicate that adaptive performance is a desired attribute in the workforce, and it contributes significantly towards the success of wind power plants in Pakistan. In addition, the stress, disturbance in work-life balance, and physical issues due to COVID-19 weaken the relationship of adaptive performance with the project’s success. This study has implications for renewable energy projects’ stakeholders to not ignore this aspect of performance and support the workforce through training, development, and adaptive management practices, as well as making projects flexible enough to facilitate changes. In addition, this study provides theoretical implications that highlight how human agency is affected by external factors, which in this case is the COVID-19 pandemic.
Spectroscopy of Mesons Produced by Linearly Polarized Photons
Authors: Salgado Carlos W.
Published: November 2023

A formalism for the experimental analysis of mesons produced by a beam of linearly polarized photons is presented. This formalism introduces a more general use of the reflectivity operator. The goal is to recognize resonances in cross-sections, their associated quantum numbers, and production mechanisms by performing partial wave analysis of multiple-meson final states.
Self-Diffusiophoresis and Symmetry-Breaking of a Janus Dimer: Analytic Solution
Authors: Avital Eldad J. , Miloh Touvia
Published: November 2023

A self-diffusiophoretic problem is considered for a chemically active dimer consisting of two equal touching spherical colloids that are exposed to different fixed-flux and fixed-rate surface reactions. A new analytic solution for the autophoretic mobility of such a catalytic Janus dimer is presented in the limit of a small Péclet number and linearization of the resulting Robin-type boundary value problem for the harmonic solute concentration. Explicit solutions in terms of the physical parameters are first obtained for the uncoupled electrostatic and hydrodynamic problems. The dimer mobility is then found by employing the reciprocal theorem depending on the surface slip velocity and on the normal component of the shear stress acting on the inert dimer. Special attention is given to the limiting case of a Janus dimer composed of an inert sphere and a chemically active sphere where the fixed-rate reaction (Damköhler number) is infinitely large. Examples are given, comparing the numerical and approximate analytic solutions of the newly developed theory. Singular points arising in the model are discussed for a dimer with a fixed-rate reaction, and the flow field around the dimer is also analysed. The new developed theory introduces a fast way to compute the mobility of a freely suspended dimer and the induced flow field around it, and thus can also serve as a sub grid scale model for a multi-scale flow simulation.
Report of the Influenza Vaccination Program in Mexico (2006–2022) and Proposals for Its Improvement
Authors: Romero-Feregrino Rodrigo , Romero-Cabello Raúl , Rodríguez-León Mario Alfredo , Rocha-Rocha Valeria Magali , Romero-Feregrino Raúl , Muñoz-Cordero Berenice
Published: November 2023

Background: Influenza has continued to be an important public health challenge, and the WHO recommends that countries consider vaccination for persons at high risk. Mexico has such a program, and we sought to determine its current situation. Material and Methods: This study has an ecological, longitudinal, and retrospective design based on secondary information on the acquisition and application of vaccines against influenza from official data from 2006 to 2022. Results: We found annual variability in the numbers of purchases and application of doses, with coverage of less than 90% of the total population every year; in addition, 17 million vaccines were not used in this period. Discussion: This study shows the situation of the program at the national level. Two institutions acquired fewer the vaccines, while one purchased more for its target population, but the necessary vaccinations were not acquired. On average, 1.7 million of the vaccines purchased annually were not used, but in some years, more vaccines were applied than were purchased in all of the institutions. We also observed that, between institutions, the vaccine coverage was very different, from 21% to 180%. On average, 6.2 million people were not vaccinated annually, between 16% and 22% of the target population, demonstrating low coverage. When we compared the coverage data that we calculated to the data published by the institutions, a great difference was observed. Conclusions: We found inconsistencies in the data, indicating their unreliability and potential disorganization within the program, as the target populations of each institution were not clear. In addition, the application data may have had reporting errors. Adequate coverage was not achieved, and the coverage was different from that reported in the official sources. We propose the implementation of different systems for control, evaluation, and access to the information of the program.
Estimating Canopy Resistance Using Machine Learning and Analytical Approaches
Authors: Hsieh Cheng-I , Huang I-Hang , Lu Chun-Te
Published: November 2023

Canopy resistance is a key parameter in the Penman–Monteith (P–M) equation for calculating evapotranspiration (ET). In this study, we compared a machine learning algorithm–support vector machine (SVM) and an analytical solution (Todorovic, 1999) for estimating canopy resistances. Then, these estimated canopy resistances were applied to the P–M equation for estimating ET; as a benchmark, a constant (fixed) canopy resistance was also adopted for ET estimations. ET data were measured using the eddy-covariance method above three sites: a grassland (south Ireland), Cypress forest (north Taiwan), and Cryptomeria forest (central Taiwan) were used to test the accuracy of the above two methods. The observed canopy resistance was derived from rearranging the P–M equation. From the measurements, the average canopy resistances for the grassland, Cypress forest, and Cryptomeria forest were 163, 346, and 321 (s/m), respectively. Our results show that both methods tend to reproduce canopy resistances within a certain range of intervals. In general, the SVM model performs better, and the analytical solution systematically underestimates the canopy resistances and leads to an overestimation of evapotranspiration. It is found that the analytical solution is only suitable for low canopy resistance (less than 100 s/m) conditions.
Using Data-Driven Prediction of Downstream 1D River Flow to Overcome the Challenges of Hydrologic River Modeling
Authors: Feinstein Jeremy , Ploussard Quentin , Veselka Thomas , Yan Eugene
Published: November 2023

Methods for downstream river flow prediction can be categorized into physics-based and empirical approaches. Although based on well-studied physical relationships, physics-based models rely on numerous hydrologic variables characteristic of the specific river system that can be costly to acquire. Moreover, simulation is often computationally intensive. Conversely, empirical models require less information about the system being modeled and can capture a system’s interactions based on a smaller set of observed data. This article introduces two empirical methods to predict downstream hydraulic variables based on observed stream data: a linear programming (LP) model, and a convolutional neural network (CNN). We apply both empirical models within the Colorado River system to a site located on the Green River, downstream of the Yampa River confluence and Flaming Gorge Dam, and compare it to the physics-based model Streamflow Synthesis and Reservoir Regulation (SSARR) currently used by federal agencies. Results show that both proposed models significantly outperform the SSARR model. Moreover, the CNN model outperforms the LP model for hourly predictions whereas both perform similarly for daily predictions. Although less accurate than the CNN model at finer temporal resolution, the LP model is ideal for linear water scheduling tools.
Analysis of Student Needs for Courses Français De L'hôtellerie Et De La Restauration
Authors: Umaya Siti , Syawalina Lina
Published: November 2023

Penelitian yang berjudul "Analisis Kebutuhan Mahasiswa terhadap Mata Kuliah Français de l’hôtellerie et de la restauration" ini merupakan penelitian deskriptif yang bertujuan untuk mendeskripsikan kebutuhan mahasiswa terhadap mata kuliah Français de l’hôtellerie et de la restauration dengan teknik pengumpulan data berupa kuesioner, wawancara, studi pustaka dan dokumentasi. Hasil penelitian menunjukkan bahwa mahasiswa telah mencapai kompetensi yang diharapkan dari mata kuliah tersebut dan mengharapkan adanya mata kuliah tingkat lanjut dengan aktivitas pembelajaran mendeskripsikan budaya tradisional Indonesia dalam projek video berbahasa Prancis, berbicara (production orale) dan kunjungan lapangan (excursion).
Potential for Marine Tourism Development in Kelapa Island, Thousand Islands, DKI Jakarta
Authors: Parantika Asep , Indah Sari Kelly
Published: November 2023

The Thousand Islands are one of the popular tourist locations nearby Jakarta, Indonesia's capital city. However, it is regrettable that not many people are aware of several locations in the Thousand Islands. Siput Island, which is part of Kelapa Island Village, is a marine tourism destination that not many people know much about or frequently visit. In order to attract tourists, it is therefore vital to promote Siput's tourism industry.

Purpose: The study's objectives were to ascertain the current and potential circumstances on the island of Siput, as well as the difficulties and potential strategies for promoting marine tourism there.

Methodology: The researcher's method is a qualitative one that includes interviews, observation, and documentation. Data triangulation is the analytical approach employed.

Result: The results show that Kelapa Island has advantages in terms of uniqueness and beliefs held by individuals in the local community. The role of MSMEs around the island is also one of the advantages possessed by Kelapa Island. In addition, it was also found that the weakness of Kelapa Island is the lack of available funding for further demolishment. While rivalry, egotism, and natural calamities pose challenges, the potential of Pulau Kelapa is what draws several businesses to invest there. The 4A (Attraction, Accessibility, Amenities, & Ancillary) tourist development strategy for Pulau Kelapa has certain components that have been completed, beginning with attractions in the form of activities and cuisine, while amenities still need to be concentrated on restrooms and places of worship.
Análisis comparativo entre resultados de simulación y experimentales de una planta solar FV en el Complejo Universitario de Olavarría
Authors: Spina Marcelo Alberto , Benger Fernando Alberto , Ruschetti Cristian Roberto , Rossi Silvano Renato
Published: November 2023

Las plantas solares fotovoltaicas (FV) han tenido un fuerte impulso a partir de la sanción de la ley nacional 27424 del 2017, que permite la generación distribuida para autoconsumo y eventual inyección de excedentes a la red por parte de particulares. La Facultad de Ingeniería de la UNICEN, en el Complejo Universitario de Olavarría, cuenta con una planta solar FV experimental con más de 4 años de registro de energía eléctrica inyectada al sistema eléctrico de manera ininterrumpida. En este trabajo se presentan los resultados obtenidos por simulación, los cuales habitualmente son utilizados para el dimensionamiento de una planta solar FV. Los mismos son, a su vez, comparados con los resultados obtenidos experimentalmente. Para las situaciones planteadas, se realiza el cálculo del Error Porcentual Absoluto Medio (MAPE o Mean Absolute Percentage Error) entre los valores experimentales y los obtenidos a través de la simulación. De dicho análisis surgen diferencias o discrepancias, que dan lugar a diversas aristas a tener en cuenta a la hora de diseñar una planta solar. Ante las diferencias presentadas, se busca una justificación y/o compensación de las mismas a fin de llevar a cabo un proceso de dimensionamiento con mayor exactitud, en la zona de incidencia donde se realiza el estudio.
Identification of Urban Ecological Security Pattern Based on Ecosystem Services Supply–Demand
Authors: Liu Huayan , Zhu Jianhua , Zeng Lixiong , Gou Mengmeng , Chen Beiling , Lv Jinxia , Xiao Wenfa
Published: November 2023

The construction of ecological security pattern (ESP) is an effective way to ensure regional ecological security. Although the method of constructing the regional ESP based on ecosystem services (ESs) has been widely recognized and applied, the spatial characteristics of ESs supply–demand mismatch has not been well included into ESP construction. We constructed a regional ESP framework connecting demand sources and ecological sources from the perspective of ESs supply–demand mismatch. Taking the Wuhan urban agglomeration (WUA), findings indicated distinct spatial aggregations of ecological sources and demand sources due to the supply–demand mismatch of ESs. Ecological sources (12,406.29 km
2
or 21.42%) were primarily located in the south and north of WUA, while demand sources (1,191.26 km
2
or 2.07%) were concentrated mainly in the central. Two types of corridors jointly ensured regional ecological security. A total of 86 supply–supply corridors in the north ensured the supply ability of ESs by connecting ecological sources, while 35 supply–demand corridors in the south alleviated the supply–demand mismatch of ESs. The targeted implementation of ecological governance based on the corridor types provides a new approach to coordinate the mismatch of ESs supply–demand and enhance ecological security. However, 63.38 km
2
of pinch points, recognized as high-flow areas within the corridors, primarily comprised fragmented landscapes, and barriers covering 99.67 km
2
obstructed corridor flow, notably surrounding the demand sources. These regions should be prioritized for ecological conservation. Overall, this research framework provides a reliable scientific basis for configuring spatial landscape patterns and developing ecological strategies in urban agglomerations.
Effects of Soil Erosion on the Tillage-Layer Quality and Limiting Factors of Sloping Farmland
Authors: Pan Lidong , Jiang Guangyi , Shi Dongmei , Wu Junhao , Liu Jing
Published: November 2023

Soil erosion is the key factor leading to the degradation of tillage-layer quality, which directly threatens regional food and ecological security. To study the characteristics of soil structure, water retention capacity, and nutrient changes in the tillage layer of purple soil sloping farmland under different erosion conditions, a shovel soil erosion test was performed to distinguish the factors that hinder the tillage-layer quality of sloping farmland under different erosion degrees. The degradation of soil structure showed that with the intensification of erosion, soil bulk density, soil capillary porosity, and sand content displayed an overall increasing trend; the soil water retention degradation was expressed by the average increase in the soil water holding capacity and the average decrease in the infiltration rate; soil nutrient degradation was derived from the average decrease in soil nutrient content. At the initial stage of erosion, the soil nutrient degradation was extremely sensitive to soil erosion, which was the limiting factor of the tillage layer; when the erosion reached stage E-15 (erosion 15 cm), the soil nutrients, soil permeability, and soil capillary porosity became the limiting factors; for E-20 (erosion 20 cm), the limiting factors added an index on the basis of stage E-15, namely, soil total porosity. When soil erosion continued for 53 years, the tillage-layer quality index was lower than the threshold value (0.46). Reconstructing soil profile of the tillage layer is an effective way to break the limitations of the barrier factors and improve the tillage-layer quality.
A Novel Hyperspectral Remote Sensing Technique with Hour-Hectometer Level Horizontal Distribution of Trace Gases: To Accurately Identify Emission Sources
Authors: Lu Chuan , Li Qihua , Xing Chengzhi , Hu Qihou , Tan Wei , Lin Hua , Lin Jinan , Zhang Zhiguo , Chang Bowen , Liu Cheng
Published: November 2023

High spatial-temporal resolution distribution of atmospheric gaseous pollutant is an important basis for tracing its emission, transport, and transformation. Typical methods for acquiring regional atmospheric gaseous pollutant distributions are satellite remote sensing and in situ observations. However, these approaches have limitations, such as sparse overpass times for satellites and restricted coverage for in situ monitoring. In this study, we propose a method for the long-term detection of the horizontal distribution of trace gases. This method based on effective optical paths (EOPs) as the instrument's detection range. It acquires the average trace gas concentration along the EOPs by utilizing different detection distances within the ultraviolet (UV) and visible (VIS) spectral bands. Subsequently, we use the onion-peeling method to obtain trace gas concentrations at two distinct distances. The obtained trace gas horizontal distribution was consistent with the in situ and mobile measurements. Compared with satellite remote sensing, this method achieved horizontal distribution results with higher spatial and temporal resolutions, and located several small high-value areas in Hefei, China. The tropospheric NO
2
vertical column density (VCD) results of the satellite at transit time (13:30) were consistent with the hyperspectral NO
2
horizontal distribution results at 13:00 to 14:00 on the same day but were not consistent with the daily average NO
2
results. The hourly NO
2
concentration in each area was 10% to 40% lower than the daytime average obtained by the hyperspectral remote sensing result. We evaluated the errors associated with the calculation of NO
2
emissions based on the satellite results and found a bias of approximately 69.45% to 83.34%. The spatial distribution of NO
2
concentration obtained from MAX-DOAS measurements may help in future bottom-up emission calculations.
Optimization of a Mealy Automaton Circuit in a Mixed Element Basis
Authors: Barkalov Alexander , Titarenko Larysa , Golovin Oleksandr , Matvienko Oleksandr
Published: November 2023

Introduction. The control device is one of the most important blocks of any digital system. The main function of the control device is to coordinate the interaction of the remaining units of the system. Therefore, the characteristics of the control device circuit have a significant impact on the quality of the overall system. To represent the law of functioning of the control device, the models of the microprogrammed automaton (MPA) by Moore and Mealy are used. When synthesizing MPA circuits, it is necessary to solve a number of optimization problems: reducing hardware costs, increasing performance, minimizing power consumption, and jointly optimizing hardware-time characteristics. Methods for solving these problems largely depend on the elemental basis used. Currently, one of the main bases in which modern digital systems are implemented is the FPGA. The main blocks in the FPGA are configurable logic blocks, a programmable interconnect matrix, a timing tree, and programmable inputs and outputs. To implement MPA schemes, two types of configurable logic blocks can be used: tabular logic elements (TLE) and built-in memory blocks (VBP), which have the property of reconfiguration. However, VBPs are widely used to implement various operating blocks of digital systems. Therefore, the controller circuit designer can use a limited number of such memory blocks. Purpose of the article. The article deals with the issues of MPA synthesis when there are a limited number of "free" blocks of EBP. In this case, the microprogram automaton circuit is represented by a network consisting of VBP and TLE blocks. A method for the synthesis of a microprogram automaton with optimization of the number of TLEs is proposed when only one VBP can be used in the microprogram automaton circuit. The proposed method is based on the use of a built-in memory block that performs the replacement of input variables and the coding of the automaton outputs. Results. Studies of the effectiveness of the proposed method were carried out on standard machines. FPGAs of the Virtex-7 family from Xilinx were used as the elemental basis. To implement the proposed MPA, the Vivado package was used. The results of the research showed that the use of the VBP block made it possible to reduce the number of SLE blocks by an average of 14 % – 18 % compared to schemes consisting only of SLE. For the Virtex-7 family FPGA, the number of TLE inputs Io= 6 was sufficient for a single-level implementation of the output system. Conclusions. The effectiveness of the proposed method makes it possible to recommend it for use in the synthesis of microprogram automata under conditions of an extremely limited number of BVPs. Keywords: Mealy automaton, synthesis, coding of inputs, coding of sets of outputs.
Health Education for Mothers With Stunting Toddlers About Supplementary Feeding (PMT) in RW 01 Wetan City Village Sub-District Garut Kota
Authors: Purnama Dadang , Shalahuddin Iwan , Rosidin Udin , Sumarni Nina , Witdiawati
Published: November 2023

Stunting is not a minor issue; according to World Bank study, losses owing to stunting range between 3 and 11% of GDP. Economic losses due to stunting in Indonesia are projected to be Rp. 300 T-Rp. 1,210 T per year, with a GDP of Rp. 11000 trillion. The money lost is due to the government having to spend additional funds on noncommunicable disease health insurance and addressing stunting instances. Education's goal is to increase knowledge and support stunting prevention behavior in order to lower stunting rates and prevent the appearance of new stunting cases. Learn more about the challenges faced by the residents of RW 01 Babakan Abid Wetan City in their attempts to avoid and overcome stunting. The lecture technique, question and answer, discussion, and demonstration are all used. The health counseling efforts resulted in roughly 33 women with toddlers. When the content was presented, the therapy participants appeared ecstatic. Participants happily participated in the therapy because it was done in an entertaining way. The counselling activity was beneficial since the participants paid close attention to the information offered. This is demonstrated by the amount of participants that want to answer questions during the question and answer session. Participants willingly participated in the counselling because it was done in a nice face-to-face setting. The counseling activity was beneficial since the participants paid close attention to the information offered regarding Supplementary feeding to prevent stunting.
The Cadre Empowerment and Education for Pregnant Women and Toddler Mothers in Efforts to Prevent Stunting in Sukamaju, Jambi Luar Kota, Muaro Jambi
Authors: Neni Heryani  , Herinawati  , Murdayah
Published: November 2023

Sukamaju Village is the village with the highest incidence of stunting in the Pondok Meja Health Center working area, 31%. Stunting in Muaro Jambi Regency experienced an increase of 5.1% from 2016 of 25.5% to 30.6% in 2017. The aim of the activity is to empower cadres by teaching cadres to be able to provide education using flip-sheet media containing about stunting to pregnant women and mothers with toddlers. Stunting-themed educational activities were carried out for 40 cadres. This activity is carried out directly using a flip sheet containing stunting including the meaning of stunting, recognizing the signs of stunting, preventing stunting, causes of stunting, the impact of stunting, as well as tips for preventing stunting during the first 1000 days of life (HPK). The educational activities went well and received a good response and enthusiasm from the cadres. This is demonstrated by the cadres' enthusiasm in asking questions and sharing information obtained from learning outcomes using flip-sheet media. The education provided was also conveyed well as shown by the increase in cadres' knowledge regarding stunting by looking at the comparison of pre-test and post-test results which increased significantly. For this reason, educational activities using flip-sheet media need to continue to be implemented as an effort to increase cadres' knowledge in educating pregnant women and mothers with toddlers.
Analisis Gaya Belajar Peserta Didik Melalui Assessment Diagnostik Non Kognitif Pada Pembelajaran Diferensiasi di Sekolah Dasar
Authors: Hilman Irfan , Akmal Rudi , Nugraha Fajar
Published: November 2023

Berdasarkan hasil observasi di kelas empat SDN 1 Galihpakuwon kab. Garut belum melaksanakan asesmen diagnostik non kognitif sehingga, model, metode, atau strategi yang digunakan oleh guru kurang tepat, dan hal ini berdampak kepada keaktifan siswa atau kurang atusias dalam mengikuti pembelajaran dikelas, guru masih memandang anak itu sama dan masih menyeragamkan  minat, bakat, dan gaya belajar peserta didik, terlihat dari perbedaan adanya cara gaya belajar siswa yang menunjukkan bagaimana cara siswa menerima pembelajaran dengan cepat dan lambat. Tujuan penelitian ini adalah untuk mengetahui implementasi asesmen diagnostik non kognitif untuk melihat bakat minat dilihat dari profil gaya belajar peserta didik dalam pembelajaran diferensiasi di sekolah dasar. Metode Penelitian ini menggunakan  pendekatan kualitatif dengan jenis penelitian yang digunakan adalah deskriptif. analisis data bersifat induktif atau kualitatif, dan hasil penelitian kualitatif lebih menekankan makna dari pada generalisa. Penelitian deskriptif ditulis dalam bentuk narasi untuk mengetahui tentang implementasi asesmen diagnostik non kognitif untuk melihat bakat minat dilihat dari profil gaya belajar peserta didik dalam pembelajaran diferensiasi pada siswa Kelas empat di SDN 1 Galihpakuwon Kab. Garut. Hasil Penelitian menunjukan bahwa asesmen diagnostik non kognitif untuk memfasilatasi gaya belajar peserta didik dapat dijadikan sebagai dasar untuk guru merancang, dan memilih pembelajaran diferensiasi: konten, proses, dan produk. Kemudian guru dapat mengkategorikan peserta didik ke dalam tiga gaya belajar: auditori, visual, kinestetik supaya kegiatan pembelajaran lebih bermakna, dan ada kesesuaian keduanya menciptakan proses pembelajaran yang efektif dan efisien dan mempermudah untuk tercapainya tujuan pembelajaran. Dengan begitu, gaya mengajar guru dan gaya belajar siswa merupakan dua hal yang berkaitan erat, saling mendukung, dan sangat menentukan keberhasilan belajar mengajar dikelas.
PRISIÓN PREVENTIVA Y LA VULNERACIÓN DEL PRINCIPIO CONSTITUCIONAL DE PRESUNCIÓN DE INOCENCIA
Authors: Mejia Milian Evelin Rocio
Published: November 2023

El presente estudio consiste, en primer lugar, en el análisis de la problemática que existe en relación a la aplicación de la prisión preventiva al imputado en el marco del proceso penal en nuestro país infringiendo la presunción de inocencia. Asimismo, se consignará jurisprudencia nacional e internacional a fin de poder dilucidar y dar luz a la cuestión que nos atañe solucionar. En segundo lugar, se ha planteado la relación entre la presunción de inocencia con otro derecho fundamental, esto es, la libertad; donde señalamos la presencia de ciertas figuras en el ámbito del proceso penal, como es la prisión preventiva que se encuentra regulada en el artículo 268 del Código Procesal Penal, medida que pone en peligro a los mencionados derechos constitucionales; es por estas razones que, el legislador debe tomar las medidas de corrección respectivas. En tercer lugar, se evaluará si se está vulnerando el principio constitucional de presunción de inocencia al aplicarse la medida de prisión preventiva, siendo esta una medida coercitiva que reprime el derecho a la libertad.
Development of Interactive Teaching Materials Based on Articulate Storyline Software
Authors: Toni Marwan , Tobroni Tobroni , Faridi Faridi , Nurhakim Nurhakim
Published: November 2023

This development research aims to analyze learning media to create Islamic education teaching media with interactive media with the help of Articulate Storyline Software. Using research and development methods with qualitative and quantitative approaches, this research was conducted at SMAN 12 Berau as a subject and a test tool for the teaching media. The use of ADDIE as a procedure and guideline for developing teaching media. Data collection techniques by distributing surveys to test subjects and a series of formative assessments. The analysis technique uses qualitative and statistics. The results of the analysis of the development of these teaching materials are in the form of software products or Electronic Student Book (BSE) applications. The teaching material is suitable for use based on test results and analysis, which explains the survey results of design experts are 86%, media experts give a percentage of 87%, and materials experts consider 80%. Due to the development of teaching materials, Articulate Storyline Software can be easily used via a cellphone or laptop with an attractive appearance so that students will efficiently operate and learn by utilizing the application.
The Girl-Child and Social Protection in Nigeria
Authors: Adesina Olubukola Stella
Published: November 2023

Social protection strategies and policy frameworks have often neglected children’s vulnerability to violence, exploitation, abuse and neglect. Yet, children need special attention in social protection policy as they are often more vulnerable than the adult. In Nigeria, there is no overarching policy on social protection and no national policy on social assistance and for vulnerable children in particular. Even as there is a need to focus on Nigerian children in general, particularly, there is an urgent need for an understanding of the multiple and often intersecting vulnerabilities and risks that the girl-child face, which are often higher than those faced by boys. This study, therefore, examines the state of social protection in Nigeria; the vulnerabilities and risks that threaten the social and economic wellbeing of the girl-child in Nigeria; the mechanisms and initiatives that the Nigerian government can put in place to enhance social protection in general and that of the girl-child, in particular; and the roles nongovernmental actors play in the provision of social protection in Nigeria.
Intervenção de enfermagem frente ao paciente de hemodiálise
Authors: Almeida Roberta Graziella Pereira da Costa Araújo de , Takashi Magali Hiromi , Lucena Arynne Mércia Soares Rodrigues , Lopes Kallyne Vieira , Neto Francisco de Paula Lima
Published: November 2023

Objetivo: Identificar as intervenções de enfermagem prestada aos pacientes que realizam hemodiálise. Método: Trata-se de um artigo de revisão integrativa realizado por meio da análise de 10 artigos científicos Portal da Biblioteca Virtual em Saúde (BVS), nas bases de dados Literatura Latino-Americano do Caribe em Ciências da Saúde (LILACS) e Biblioteca Eletrônica Base de Dados de Enfermagem (BDENF) e Scientific Electronic Library Online (SCIELO). Resultados: O enfermeiro é o responsável pela avaliação e manutenção dos acessos em hemodiálise, à interpretação de exames laboratoriais e também, pela tomada de decisões juntamente com a equipe médica, além de ser capaz de prevenir, identificar e tratar complicações apresentadas pelos pacientes antes, durante e após o procedimento. Conclusão: Em suma, essa pesquisa é importante porque fornece subsídios, conscientizar a equipe responsável pelo tratamento hemodialítico, avalia as necessidades e a importância da qualidade de vida do paciente, em fazer hemodiálise e fornecer a eles métodos otimizados desta forma de tratamento.
Descritores: Insuficiência Renal Crônica; Hemodiálise; Enfermagem.
Renewal of Business Licensing Policy Through OSS Implementation: Perspective of the Job Creation Law
Authors: Wulandari Andi Sri Rezky , Rahmah Andi , Nurmiati Nurmiati
Published: November 2023

This research examines the dynamics of business licensing policy and the adoption of the Online Single Submission (OSS) system as a risk-based solution in public services. This research assesses the legal aspects of the business licensing policy, particularly focusing on OSS in order to be able to evaluate its impact on the efficiency and effectiveness of public services. Using a juridical approach, this research conducts a thorough legal analysis of relevant laws, regulations and judicial precedents that emphasise the importance of the OSS system in simplifying licensing procedures and reducing administrative burden. Through a risk-based approach, the OSS promotes transparency, accountability and fairness as well as enhances legal certainty which also minimises the risk of corruption of authorised state officials. The study also identifies many challenges such as data privacy issues, security from cybercrime and potential conflicts in the decision-making process that will be addressed to improve the effectiveness and sustainability of the OSS system. This research will contribute to the study of law and public administration providing valuable insights for policy makers and the OSS system. The OSS policy also promotes good governance, facilitates economic growth and improves the quality of public services.