bluuebunny/crossref_metadata_2025 huggingface dataset:
A climate model-informed nonstationary stochastic rainfall generator for design flood analyses in continental-scale river basins
Authors: Liu Yuan , Wright Daniel Benjamin , Lorenz David J
Published: December 2023

Existing stochastic rainfall generators (SRGs) are typically limited to
relatively small domains due to spatial stationarity assumptions,
hindering their usefulness for flood studies in large basins. This study
proposes StormLab, an SRG that simulates precipitation events at 6-hour
and 0.03° resolution in the Mississippi River Basin (MRB). The model
focuses on winter and spring storms caused by strong water vapor
transport from the Gulf of Mexico—the key flood-generating storm type
in the basin. The model generates anisotropic spatiotemporal noise
fields that replicate local precipitation structures from observed data.
The noise is transformed into precipitation through parametric
distributions conditioned on large-scale atmospheric fields from a
climate model, reflecting both spatial and temporal nonstationarity.
StormLab can produce multiple realizations that reflect the uncertainty
in fine-scale precipitation arising from a specific large-scale
atmospheric environment. Model parameters were fitted for each month
from December-May, based on storms identified from 1979-2021 ERA5
reanalysis data and AORC precipitation. Validation showed good
consistency in key storm characteristics between StormLab simulations
and AORC data. StormLab then generated 1,000 synthetic years of
precipitation events based on 10 CESM2 ensemble simulations. Empirical
return levels of simulated annual maxima agreed well with AORC data and
displayed bounded tail behavior. To our knowledge, this is the first SRG
simulating nonstationary, anisotropic high-resolution precipitation over
continental-scale river basins, demonstrating the value of conditioning
such stochastic models on large-scale atmospheric variables. The
simulated events provide a wide range of extreme precipitation scenarios
that can be further used for design floods in the MRB.
Large isotopic shift in volcanic plume CO2 prior to a basaltic paroxysmal explosion
Authors: D'Arcy Fiona D , Aiuppa Alessandro , Grassa Fausto , Rizzo Andrea Luca , Stix John
Published: December 2023

Carbon dioxide is a key gas to monitor at volcanoes because its
fluctuation relative to other gases can be detected prior to eruptions,
yet carbon isotopic fluctuations at volcanic summits are not well
constrained. Here, we present carbon isotopes measured from plume
samples collected at Stromboli volcano, Italy, by Unoccupied Aerial
System (UAS). We found contrasting volcanic source δ13C in 2018 during
quiescence (-0.36 ± 0.59 ‰) versus 10 days before the July 3rd 2019
paroxysm (-5.01 ± 0.56 ‰). During the buildup to the eruption, an influx
of CO2-rich magma began degassing at deep levels (~100
MPa) in an open system fashion, causing strong isotopic fractionation
and maintaining high CO2/St ratios in the gas. This influx occurred
between 10 days prior to the event and up to several months beforehand,
meaning that isotopic changes in the gas could be detected weeks to
months before unrest.
European soil NOx emissions derived from satellite NO2 observations
Authors: Lin Xiaojuan , A Ronald J. van der , Laat Jos de , Huijnen Vincent , Mijling Bas , Ding Jieying , Eskes Henk , Douros John , Liu Mengyao , Zhang Xin , Liu Zhu
Published: December 2023

We introduce an innovative method to distinguish soil nitrogen oxides
(NOx=NO+NO2) emissions from satellite-based total NOx emissions using
its seasonal characteristics. To evaluate the approach, we compare the
deviation between the tropospheric NO2 concentration observed by
satellite and two atmospheric composition model simulations driven by
the newly estimated soil NOx emissions and the Copernicus Atmosphere
Monitoring Service (CAMS) inventory. The estimated average soil NOx
emissions in Europe are 2.5 kg N ha-1 yr-1 in 2019, and the annual soil
NOx emissions is approximately 2.5 times larger than that of the CAMS
inventory. Our method can easily be extended to other regions at middle
or high latitudes with similar seasonal characteristics of soil
emissions. The soil emissions are subtracted from the total NOx
emissions yielding realistic anthropogenic NOx emissions. We further
show this also yields realistic anthropogenic CO2 emissions using known
CO2/NOx factors from bottom-up inventories.
Quality control and gap-filling methods applied to hourly temperature observations over Central Italy
Authors: Cerlini Paolina Bongioannini , Silvestri Lorenzo , Saraceni Miriam
Published: December 2023

Given the regional surface network of the Umbria region, a mountainous
area located in central Italy, the observed hourly temperature time
series from 2010 to 2017 have been analyzed applying  basic and extended
quality control (QC) procedures following the World Meteorological
Organization (WMO) standards. The validation procedure consisted of
automatic QC, producing validated data with metadata subsequently
recorded in NetCDF format. After these controls, data have been manually
checked and an extended procedure has been applied to reconstruct the
temperature time series for missing data. The spatiotemporal method used
to reconstruct the data has been linear interpolation for 1-hour gaps,
and the Empirical Orthogonal Function algorithm (EOF) for the 2-hour and
longer gaps. The introduction of a complete and homogeneous data set of
hourly reanalysis ERA5 (ECMWF) allowed the reconstruction of the longest
gaps with statistical and physical consistency. The final product of
this study is a continuous station time series of hourly temperatures
that will be available to the public by the end of 2020; a daily version
of the original time series is already available at the regional website
(https://annali.regione.umbria.it/).

Keywords — Agrometeorology, Quality control, Missing data,
ERA5, Empirical Orthogonal Function
Modern state of plankton and benthos of large fishery water bodies in Vologda region
Authors: Лобуничева Е.В. , Макарёнкова Н.Н. , Филоненко И.В. , Ивичева К.Н. , Литвин А.И. , Думнич Н.В.
Published: December 2023

Представлены результаты мониторинга фитопланктона, зоопланктона и зообентоса Шекснинского водохранилища, озер Кубенское и Воже Вологодской области в 2018–2022 гг. Наи- большая биомасса водорослей была характерна для озера Белое (10.1 г/м3). В других водоемах средняя биомасса составляла 6.3–7.3 г/м3. В фитопланктоне преобладали диатомовые водоросли и цианобактерии. Численность диатомовых водорослей была максимальна в речной части Шекс- нинского водохранилища, цианобактерий – в оз. Белом. В оз. Белое наблюдалось ежегодное «цве- тение» воды из-за высокой численности Aphanizomenon flos-aquae. Наибольшее обилие зооплан- ктона регистрировалось в оз. Воже (131 тыс. экз./м3, 3.5 г/м3). Средняя биомасса зоопланктона на всей акватории Шекснинского водохранилища была сходна (2.0 г/м3), в оз. Кубенское равна всего 0.9 г/м3. Основу численности зоопланктона составляли копеподы, биомассы – кладоцеры. Наиболь- шее обилие зообентоса было характерно для оз. Кубенское (7.6 г/м2), наименьшее – для оз. Воже (2.6 г/м2). Средняя биомасса зообентоса в Шекснинском водохранилище составила 4–5 г/м2. В со- став доминантов зообентоса во всех водоемах входили олигохеты Limnodrilus hoffmeisteri, Tubifex newaensis, T. tubifex, хирономиды родов Chironomus, Procladius в открытой части водоемов и хиро- номиды Endochironomus albipennis, Glyptotendipes gripekoveni, Cricotopus gr. sylvestris – в зарослях. Хирономиды доминировали в Шекснинском водохранилище и оз. Воже, олигохеты – в оз. Кубенское.

The paper deals with monitoring results of phytoplankton, zooplankton and zoobenthos of the Sheksna reservoir, lakes Kubenskoye and Vozhe in Vologda Oblast in 2018–2022. The highest biomass of algae was recorded in lake Beloye (10.1 g/m3). In other water bodies, the average biomass made up 6.3–7.3 g/m3. Diatom and cyanobacteria dominated in phytoplankton: diatom number was maximum in the river part of the Sheksna Reservoir, while cyanobacteria – in lake Beloye. Highly abundant Aph- anizomenon flos-aquae induced annual water bloom of lake Beloye. Density of zooplankton was the greatest in Vozhe (131 thous. ind./m3, 3.5 g/m3). Similar average biomass of zooplankton was noted in different parts of the Sheksna Reservoir (2.0 g/m3). In lake Kubenskoye, biomass reached 0.9 g/m3. Co- pepoda formed the base of zooplankton number and cladocera – of biomass. In contrast to lake Vozhe (2.6 g/m2), zoobenthos in lake Kubenskoye was highly abundant (7.6 g/m2). The average biomass of zoobenthos in the Sheksna Reservoir accounted for 4–5 g/m2. The dominant complex of zoobenthos included oligochaeta Limnodrilus hoffmeisteri, Tubifex newaensis, T. tubifex in all water bodies; chiron- omid larvae Chironomus sp., Procladius sp. – in the open sites; chironomids Endochironomus albipen- nis, Glyptotendipes gripekoveni, Cricotopus gr. sylvestris – in thickets. Chironomidae dominated in the Sheksna Reservoir and lake Vozhe, oligochaeta – in lake Kubenskoye.
Roles of Trees for Abatement of Environmental Pollution: A Review
Authors: P A Clara Manasa , Salimath Supriya K. , Hegde Ramakrishna , Deepthi Dechamma N. L. , Gooli Manjunath
Published: December 2023

Planet Earth has become inhospitable for the survival of biological species as it is facing the most serious threat from pollution. Forestation for the abatement of pollution and the betterment of the environment is a successful and widely accepted method among the many ways and means to mitigate environmental contamination. Pollutants are collected, assimilated, and stored by trees. The capacity of trees to capture and hold larger particulates on the epidermal and outer leaf surfaces aids in regulating dust pollution. Additionally, trees contribute to high-quality water by reducing soil erosion locally, which lowers silt in water bodies and traps or filters other water pollutants. In the context of noise pollution, trees can reduce 5-8 dB of noise per 100 feet of the forest by reflecting and absorbing sound energy. Utilizing live, green plants to lessen and/or remove toxins from contaminated soil, water, sediments, and the air is known as phytoremediation. Additionally, different types of genetically engineered trees have been developed through recombinant technologies, which can be utilized to remove heavy metals and toxic substances from contaminated sites. Such genetically modified or transgenic plants could help clean up contaminated sites by taking up pollutants using their roots. This review examines both the conventional and recent developments in using trees for bioremediating contaminated or polluted sites. Thus, by proper planting scheme with suitable species will bring healthy life and color to the cement concrete jungle of large congested cities
Simulation of statistical mean and variance of normally distributed data $N_X(m_X,\sigma_X)$ transformed by nonlinear functions $g(X)=\cos X$, $e^X$ and their inverse functions $g^{-1}(X)=\arccos X$, $\ln X$
Authors:   Lviv Polytechnic National University, Kosoboutskyy P. S. , Karkulovska M. S. ,   Lviv Polytechnic National University
Published: December 2023

This paper presents analytical relationships for calculating statistical mean and variances of functions g(X)=cosX, eX, g−1(X)=arccosX, lnX of transformation of a normally NX(mX,σX) distributed random variable.
A generic model of the information and decisional chain using Machine Learning based assistance in a manufacturing context
Authors:   University Polytechnique des Hauts-de-France, Mallouk I. ,   LMSA, FSR, Mohammed V University in Rabat, Abou el Majd B. ,   LMSA, FSR, Mohammed V University in Rabat, Sallez Y. ,   University Polytechnique des Hauts-de-France
Published: December 2023

Nowadays, manufacturers must deal with huge international competition and continually improve their performances. In this context, several essential approaches namely CBM (Condition-based maintenance), PHM (Prognostics and Health Management), and PLM (Product Lifecycle Management) are used for manufacturing systems to maintain and increase their availability, reliability and performance. This implies that operational usage data of the manufacturing equipment must then be made available to all stakeholders concerned through efficient informational chains. However confronted with a large amount of data, the stakeholders must be assisted in their decision-making. This paper aims to propose a generic architecture that models the information and decision chain from the target system to the relevant stakeholders by assisting them in their decision-making. The proposed generic architecture is illustrated by a use case based on the LSTM (Long Short-Term Memory) algorithm in the context of energy management for a fleet of mobile robots.
Viral infection model with cell-to-cell transmission and therapy in the presence of humoral immunity: Global analysis
Authors:   Laboratory of Mathematics and Applications, University Hassan II, Higher Normal School of Casablanca, El Akraa N. , Lahby M. ,   Laboratory of Mathematics and Applications, University Hassan II, Higher Normal School of Casablanca, Danane J. ,   Laboratory of Systems, Modelization and Analysis for Decision Support, National School of Applied Sciences, Hassan First University
Published: December 2023

This paper aims to prezent mathematical model for Viral infection which incorporates both the cell-free and cell-to-cell transmission. The model includes four compartments, namely, the susceptible, the infected ones, the viral load and the humoral immune response, which is activated in the host to attack the virus. Firstly, we establish the well-posedness of our mathematical model in terms of proving the existence, positivity and boundedness of solutions. Moreover, we determine the different equilibrium of the problem. Also, we will study the global stability of each equilibrium. Finally, we give some numerical simulation in order to validate our theoretical findings, and to study the effect of different types of treatments proposed by the model.
Modeling of the error determination in accepting financial decisions in conditions of uncertainty
Authors:   Lviv Polytechnic National University, Khoma I. B. , Chubka O. M. ,   Lviv Polytechnic National University, Bondarenko L. P. ,   Lviv Polytechnic National University
Published: December 2023

The article presents the modeling mechanism of the error determination when making financial decisions in conditions of uncertainty and risk. Researched modeling is based on using the assessing of the diagnosed level of enterprises' economic security with help of mathematical description and calculations of probability transitions matrix and using the research method, the method of direct and reverse interpolation, averaging, statistical and index method, root mean square error method, simulation modeling, probability theory method, matrix method, etc. It has been studied that the most difficult is the process of modeling financial decision-making in conditions of uncertainty, since due to various types of risk there is a high threat of insufficiency or inaccuracy of information that distorts technical calculations, the indicator of which is real financial costs and timely detection of permissible and unacceptable deviations of parameters.
Further results on the regulation problem for linear systems with constraints on control and its increment
Authors:   Department of Mathematics, Laboratory Partial Differential Equations, Algebra and Spectral Geometry, Faculty of Sciences, Ibn Tofail University, Abdelhak A. , Ou-azzou R. ,   Department of Mathematics, Laboratory Partial Differential Equations, Algebra and Spectral Geometry, Faculty of Sciences, Ibn Tofail University
Published: December 2023

The regulator problem for both discrete-time and continuous-time linear systems is considered. The control and its increments are under non-symmetrical constraints and the domain of constraints includes the origin on its boundary. We derive necessary and sufficient conditions which ensure the satisfaction of all the constraints and also the asymptotic stability by a state feedback. An illustrative example shows the application of our method.
Machine learning in lung lesion detection caused by certain diseases
Authors:   Lviv Polytechnic National University, Khoroshchuk D. , Liubinskyi B. B. ,   Lviv Polytechnic National University
Published: December 2023

The work highlights neural network applications to medical images, namely X-ray images. An overview of neural networks used to analyze medical images was conducted. Such a neural network has been implemented and tested on third-party images.
On the radial solutions of a p-Laplace equation with the Hardy potential
Authors:   LaR2A Laboratory, Faculty of Sciences, Abdelmalek Essaadi University, Bakhadda M. , Bouzelmate A. ,   LaR2A Laboratory, Faculty of Sciences, Abdelmalek Essaadi University
Published: December 2023

In this paper, we study the asymptotic behavior of radial solutions of the following quasi-linear equation with the Hardy potential Δpu+h(|x|)|u|p−2u=0, x∈RN−{0}, where 2
0 and Δpu=div(|∇u|p−2∇u) is the p-Laplacian operator. The study strongly depends on the sign of γ−(σ/p∗)p where σ=(N−p)/(p−1) and p∗=p/(p−1).
Solving the Cauchy problem for an elliptic equation using Bat Algorithm
Authors:   SMAD Team, Polydisciplinary faculty of Larache, Abdelmalek Essaadi University, Daoudi J. , Tajani C. ,   SMAD Team, Polydisciplinary faculty of Larache, Abdelmalek Essaadi University
Published: December 2023

This paper presents a method for solving a class of inverse problems for elliptic equations known as the data completion problem. The goal is to recover missing data on the inaccessible part of the boundary using measurements from the accessible part. The inherent difficulty of this problem arises from its ill-posed nature, as it is susceptible to variations in the input data. To address this challenge, the proposed approach integrates Tikhonov regularization to enhance the stability of the problem. To solve this problem, we use a metaheuristic approach, specifically, the Bat Algorithm (BA) inspired by the echolocation behavior of bats. The performed numerical results show that the Bat Algorithm yields stable, convergent, and accurate solutions.
Investigation of ant colony optimization with Levy flight technique for a class of stochastic combinatorial optimization problem
Authors:   SMAD Team, Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University, El Asri F. , Tajani C. ,   SMAD Team, Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University, Fakhouri H. ,   SMAD Team, Polydisciplinary Faculty of Larache, Abdelmalek Essaadi University
Published: December 2023

The demand for efficient solutions to optimization problems with uncertain and stochastic data is increasing. Probabilistic traveling salesman problem (PTSP) is a class of Stochastic Combinatorial Optimization Problems (SCOPs) involving partially unknown information about problem data with a known probability distribution. It consists to minimize the expected length of the tour where each customer requires a visit only with a given probability, at which customers who do not need a tour are just ignored without further optimization. Since the PTSP is NP-hard, the usage of metaheuristic methods is necessary to solve the problem. In this paper, we present the Ant Colony Optimization (ACO) algorithm combined with the Levy Flight mechanism (LFACO), which is based on Levy distribution to balance searching space and speed global optimization. Experimental results on a large number of instances show that the proposed Levy ACO algorithm on the probabilistic traveling salesman problem allows to obtain better results compared with the classical ACO algorithm.
A hybrid model for predicting air quality combining Holt–Winters and Deep Learning Approaches: A novel method to identify ozone concentration peaks
Authors:   SMAD, FPL, Abdelmalek Essaadi University, Marrakchi N. , Bergam A. ,   SMAD, FPL, Abdelmalek Essaadi University, Fakhouri H. ,   SMAD, FPL, Abdelmalek Essaadi University, Kenza K. ,   DGM, National Climate Center, Air Quality Department, General Directorate of Meteorology
Published: December 2023

Ozone (O3) from the troposphere is one of the substances that has a strong effect on air pollution in the city of Tanger. Prediction of this pollutant can have positive improvements in air quality. This paper presents a new approach combining deep-learning algorithms and the Holt–Winters method in order to detect pollutant peaks and obtain a more accurate forecasting model. Given that LSTM is an extremely powerful algorithm, we hybridized with the Holt–Winters method to enhance the model. Making use of multiple accuracy metrics, the models' efficiency is investigated. Empirical findings reveal the superiority of the hybrid model by providing forecasts that are more accurate with an index of agreement equal to 0.91.
Discrete-event simulation for outpatient flow and emergency patient arrival in a haemodialysis unit
Authors:   Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia, Sundar A. , Rahmin N. A. A. ,   Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia, Chen C. Y. ,   Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia, Nazihah M. A. ,   Department of Mathematics and Statistics, Faculty of Science, University of Putra Malaysia
Published: December 2023

Emergency cases among dialysis patients are uncertain and if these patients failed to obtain treatment within allocated treatment, it might risk their health conditions. In relation to that, we would like to accommodate outpatients together with the emergency patients in patient scheduling problem. Discrete-event simulation is used to estimate the outpatients flow based on the mean arrival rate, λ. A modified integer linear programming model is presented in this paper which highlighted on the patients' arrival time, patients' departure time and bed availability for emergency case. A rescheduling algorithm is also presented to accommodate existing outpatients and emergency patients. The results show that by rescheduling the existing outpatients and emergency patients in the system, there is no delaying for the outpatients' dialysis treatment. Hence, the emergency patients are able to accommodate in the system.
Penalty method for pricing American-style Asian option with jumps diffusion process
Authors:   Institute for Mathematical Research, Universiti Putra Malaysia, Laham M. F. , Ibrahim S. N. I. ,   Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia
Published: December 2023

American-style options are important derivative contracts in today's worldwide financial markets. They trade large volumes on various underlying assets, including stocks, indices, foreign exchange rates, and futures. In this work, a penalty approach is derived and examined for use in pricing the American style of Asian option under the Merton model. The Black–Scholes equation incorporates a small non-linear penalty factor. In this approach, the free and moving boundary imposed by the contract's early exercise feature is removed in order to create a stable solution domain. By including Jump-diffusion in the models, they are able to capture the skewness and kurtosis features of return distributions often observed in several assets in the market. The performance of the schemes is investigated through a series of numerical experiments.
Derivation of hyper-singular integral equations for thermoelectric bonded materials featuring a crack parallel to interface
Authors:   Fakulti Kejuruteraan Pembuatan, Universiti Teknikal Malaysia Melaka, Mohd Nordin M. H. I. , Hamzah K. B. ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka; Forecasting and Engineering Technology Analysis (FETA) Research Group, Universiti Teknikal Malaysia Melaka, Khashiie N. S. ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka; Forecasting and Engineering Technology Analysis (FETA) Research Group, Universiti Teknikal Malaysia Melaka, Waini I. ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka; Forecasting and Engineering Technology Analysis (FETA) Research Group, Universiti Teknikal Malaysia Melaka, Zainal N. A. ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka; Forecasting and Engineering Technology Analysis (FETA) Research Group, Universiti Teknikal Malaysia Melaka, Sayed Nordin S. K. ,   Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan, Universiti Teknikal Malaysia Melaka; Forecasting and Engineering Technology Analysis (FETA) Research Group, Universiti Teknikal Malaysia Melaka
Published: December 2023

In this paper, the derivation of hyper-singular integral equations (HSIEs) for thermoelectric bonded materials (TEBM) featuring a crack parallel to interface subject to in-plane shear stress τ∞xy was intensively studied. Generally, stress intensity factors (SIFs) were calculated using HSIEs with the help of modified complex stress variable function (MCSVF), and continuity conditions of the resultant electric force and displacement electric function. The unknown crack opening displacement (COD) function, electric current density, and energy flux load are mapped into the square root singularity function using the curved length coordinate method as the right-hand term. This unknown function is then used to compute the dimensionless SIFs in order to determine the stability behavior of TEBM featuring a crack parallel to interface subject to in-plane shear stress τ∞xy. Numerical results of the dimensionless SIFs at all the crack tips are presented. Our results are totally in good agreement with those of the previous works. It is observed that the dimensionless SIFs at the crack tips depend on the elastic constants ratio, the crack geometries, the electric conductivity, and the thermal expansion coefficients.
Haar wavelet collocation method for solving stagnation point over a nonlinearly stretching/shrinking sheet in a hybrid nanofluid with slip effect
Authors:   Department of Mathematics and Statistics, Faculty of Science, University Putra Malaysia, Hasanah N. S. , Rasedee A. F. N. ,   Faculty of Economics and Muamalat, Universiti Sains Islam Malaysia, Bachok N. ,   Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia; Institute for Mathematical Research, Universiti Putra Malaysia, Wong T. J. ,   Department of Basic Sciences and Engineering, Faculty of Agriculture and Food Science, University Putra Malaysia, Hasan M. ,   Centre of Foundation Studies for Agricultural Science, University Putra Malaysia
Published: December 2023

The study of stagnation point flow and heat transfer over a stretching/shrinking sheet in a hybrid nanofluid has potential applications in a variety of fields. In order to investigate the properties of fluid flow and heat transfer, this study must solve the governing mathematical model(partial differential equations). By utilizing similarity variables, the model is transformed into a system of ordinary differential equations. The study employs a novel numerical scheme that combines the power of Haar wavelets with the collocation method to solve these ordinary differential equations. Through this approach, the study can predict several important values related to the fluid's flow and heat transfer, including the skin friction coefficient, local Nusselt number, and the profiles of velocity, temperature which can be influenced by the governing parameters of the model.
Modulation stability of wave-packets in a three-layer fluid
Authors:   Volodymyr Vynnychenko Central Ukrainian State University, Kharchenko D. S. , Naradovyi V. V. ,   Volodymyr Vynnychenko Central Ukrainian State University
Published: December 2023

This article investigates the modulation stability condition for the problem of wave packet propagation in a three-layer hydrodynamic system "layer with a hard bottom – layer – layer with a lid". The graphs of the dependence of the modulation stability limits on the thickness of the lower and upper layer and on the density of the middle and upper layers for capillary and gravity waves are illustrated and analyzed. The evolution equations of the envelope of wave packets in the form of the second-order nonlinear Schrödinger equation for the lower and upper surfaces of the contact are obtained. The conditions of modulation stability are derived.
The Role of the Work Environment in Improving Employee Performance
Authors: Oktaria Ardika Putri  , Binti Mutafarida  , Sri Hariyanti  , Sulistyowati  , Nabilah Zulviana
Published: December 2023

Every workplace must provide a comfortable and suitable work environment for employees, because the work environment used for work can have an impact on employees in completing the tasks given. This study aims to determine the role of the work environment in improving employee performance at the Prime Car Body Repair Workshop in Malang City. In this study using a descriptive qualitative approach. Data collection techniques using observation, interviews, and documentation.

The results of this study indicate that the physical work environment in the Perdana Body Repair Car Workshop in Malang City is good and not good. A good physical work environment, namely cleanliness, lighting, security, equipment, and room layout. As for the physical work environment that is not good, namely air circulation and noise that appears. While the non-physical environment, the relationship between leaders and employees is well established. Employee performance at the Prime Car Body Repair workshop in Malang City is good, seen from the employee performance indicators that have been fulfilled, namely in terms of quality, quantity, time, cost reduction, supervision, as well as the relationship between employees. The role of the work environment, both physical and non-physical, has encouraged employees to improve performance at the Perdana Body Repair Car Workshop in Malang City.
Company Value Viewed From The Effect of Islamic Corporate Governance and Islamic Social Reporting with Financial Performance As Variable Moderating
Authors: Durrotussilfiatul Farihah  , Surepno  , Lissa Octavia
Published: December 2023

This study aims to determine the influence of Islamic Corporate Governance and Islamic Social Reporting on company value through financial performance. This study uses a quantitative method with an explanatory approach. The data used in this study is secondary data with the data collection method using a purposive sampling method with 20 samples of consumer goods industry companies registered at ISSI during the period 2018 to 2021. The independent variable in this study is Islamic Corporate Governance and Islamic Social reporting. While the dependent variable is the value of the company. And financial performance as a moderating variable. Hypothesis testing is done by using software Eviews. 12. The results of the research show that Islamic Corporate Governance has a significant effect on firm value. Meanwhile Islamic Social Reporting has no effect on firm value. And financial performance cannot moderate the influence of Islamic Corporate Governance and Islamic Social reporting to company value.
Analysis of Effects of Zakat, Inflation, General Allocation of Funds (DAU), and Direct Cash Assistance (BLT) to Poverty in Indonesia
Authors: Sukma Ardiyanti  , Bintis Tianatud Diniati  , Ardhia Winda Cahyani  , Alifia Rahma Syahputr  , Imelda Arla Dewita Putri  , Ayu Wulandari
Published: December 2023

This study aims to determine and analyze the effect of zakat, inflation, general allocation funds, and direct cash assistance on poverty in Indonesia. This research was conducted using secondary data with time series data, namely the period 2018-2022 which includes data on the distribution of zakat funds, the inflation rate, general allocation funds, data on the distribution of direct cash assistance and data on the number and percentage of the poor population in Indonesia. The number of samples tested was 60 data which were processed using Microsoft Excel and E-Views 12. This study used a quantitative approach with multiple linear regression models which explained the relationship between variables by using hypothesis testing using IBM SPSS Statistics 25. The results of this study indicated that variables zakat and direct cash assistance have no effect on poverty. Meanwhile, inflation and general allocation funds partially have a negative and significant effect on poverty. However, the simultaneous test shows that all independent variables simultaneously or jointly influence poverty in Indonesia.
Developed Countries: Challenges of Developing Countries, the Role of Islamic Institutions and Finance in Indonesia
Authors: Ervi Apriliyawati  , Reza Tatimatus Sholikah  , Desiwy Widyawaluyanda
Published: December 2023

Role something institutional very needed in the activity process development for improve infrastructure development for the sake of prosperity life public and shift from country develop become country forward. Study this background by policy the economy is not optimal, uncertainty law and regulation, low power global competitiveness, lack inclusion finance, inclusion finance sharia, and inequality economy and social. Study This aim for analyze so far where role institutional for development in Indonesia towards shift development from country develop going to country forward. Method used in study this is use approach qualitative with use studies references and based on phenomenon that occurs. Results study this state that with development system institutional keep going optimized, policies push change from country develop going to country proceed become choice government. System finance sharia capable sustain strengthening economy society. Implications practical from this paper importance optimizing side of economic development and finance sharia for speed up change become country forward, and possible welfare enjoyed society.
Productive Waqf: Concepts and Its Impact on Improving Community Economy
Authors: Bayu Sudrajat  , Ainul Imronah
Published: December 2023

Productive waqf refers to the use of waqf assets to invest in productive businesses that generate economic benefits. The purpose of this study is to understand the concept of productive waqf and analyze its impact on encouraging community economic growth. The research method used is literature analysis, by collecting data from various sources such as books, journals, and reports related to productive waqf and the community's economy. The data collected was analyzed qualitatively to identify general patterns, trends, and impacts seen in the existing literature. The results of this study indicate that productive waqf has great potential in improving the community's economy. Through investment in waqf assets in productive sectors, productive waqf can create new jobs, increase income, and reduce poverty. In addition, productive waqf also plays a role in building a culture of sustainability and wise resource management.
Statistical estimation of the average number of cluster sites on uniformly weighted square lattices
Authors: Moskalev Pavel , Onishchenko Leonid
Published: December 2023

The problem of approximating the average number of cluster sites on square percolation lattices is studied. For uniformly weighted lattices of finite size, a model is proposed based on a generalization of the logistic function that describes the transition between two slant asymptotes. To obtain statistical estimates of the model coefficients, the nonlinear least squares method is used, which made it possible to obtain preliminary estimates of the percolation threshold error for various sizes of the percolation lattice.
Comparative analysis of flow characteristics for porous titanium samples
Authors: Moskalev Pavel , Selivanov Vladimir , Onishchenko Leonid , Netreba Alexander
Published: December 2023

Using a cylindrical sample of porous titanium as an example, a method for comparative analysis of flow characteristics for samples of porous materials is considered. Based on the quadratic and logistic functions, approximations of the absolute flow characteristics of a porous titanium sample were proposed, which made it possible to find an approximation of the integral relative flow characteristics in explicit form. Based on the relative flow characteristics using the Young-Laplace equation, explicit expressions for the integral and differential distributions were also obtained, the critical pore size and the 0.95 confidence interval of the pore size distribution in the studied sample were found.
Profesionalisme Guru Sekolah Dasar Dalam Menghadapi Digitalisasi Media Pembelajaran Berbasis TPACK (Technology, Paedagogic, Content, And Knowledge)
Authors: Rini Tika Puspita Widya , Rachman Ali , Alfiah Sya'adah , Shalihah Ummi
Published: December 2023

KKG Gugus Sungai Jingah Banjarmasin Utara merupakan komunitas guru-guru Sekolah Dasar di Banjarmasin Utara untuk meningkatkan kualitas guru dalam pembelajaran. Terbatasnya kemampuan guru-guru mengemas suatu media pembelajaran berbasis digital dalam proses belajar mengajar akan mempengaruhi profesionalisme guru. Sehingga diperlukan suatu  kegiatan pengabdian kepada masyarakat berupa pelatihan yang dilakukan dengan tujuan untuk menambah pengetahuan dan keterampilan guru dalam mengenal konsep TPACK dan membuat media inovatif berbasis TPACK serta mengaplikasikannya dalam pembelajaran. Pelatihan ini dilaksanakan kepada para guru KKG Gugus Sungai Jingah di SDN Banua Anyar 9 Banjarmasin Utara. Metode yang digunakan adalah: 1) Perencanaan; 2) Pelaksanaan; 3) Evaluasi; dan 4) Monitoring. Capaian luaran yang dihasilkan adalah; peningkatan pemahaman guru terhadap materi; produk berupa media TPACK; dan artikel yang dipublikasikan. Hasil yang diperoleh dari pelatihan ini adalah sebanyak 85% guru memahami konsep media dan model TPACK; terdapat peningkatan keterampilan guru dalam membuat media inovatif TPACK. Hasil kegiatan ini menunjukkan keberhasilan akan kegiatan pelatihan, dan perlu adanya monitoring terhadap hasil kegiatan ini serta kegiatan serupa untuk meningkatan keterampilan para guru dalam inovasi media pembelajaran.Keywords: Pelatihan, Media Pembelajaran, TPACK
TRAINER PENGATURAN MOTOR LISTRIK UNTUK PRAKTIKUM PENGGUNAAN DAN PENGATURAN MOTOR LISTRIK
Authors: Isnaini Muhammad , Dewy Mega Silfia , Solihin Muhammad Dani , Hutahaean Harvei Desmon
Published: December 2023

Abstrak : Penelitian ini bertujuan untuk mengembangkan multimedia pembelajaran interaktif pada matakuliah penggunaan dan pengaturan motor listrik. Pengembangan media interaktif ini bertujuan untuk menyediakan alternatif media pembelajaran yang dapat memfasilitasi mahasiswa untuk belajar secara aktif, kreatif dan mandiri tanpa adanya keterbatasan ruang, waktu ataupun adanya pendidik. Penelitian ini menggunakan model pengembangan ADDIE yang terdiri dari 5 tahapan utama yaitu: (1) Analisis, (2) Perancangan, (3) Pengembangan dan (4) Implementasi dan (5) Evaluasi. Rancangan desain multimedia pembelajaran interaktif dibuat dengan menggunakan software Adobe Flash. Dalam penelitian ini, teknis analisis data yang digunakan yaitu teknik analisis deskriptif yaitu mendeskripsikan tingkat validitas produk yang dihasilkan. Berdasarkan hasil keseluruhan validasi ahli materi memperoleh rata-rata sebesar 4,73, maka hasil validasi terhadap produk multimedia pembelajaran interaktif dari para ahli materi tersebut dikategorikan sangat baik. Hasil keseluruhan validasi ahli media memperoleh rata-rata sebesar 4,75, maka hasil validasi terhadap produk multimedia pembelajaran interaktif dari para ahli media tersebut dikategorikan sangat baik. Kata Kunci: Multimedia Pembelajaran Interaktif, Motor Listrik, Model ADDIE   Abstract: This study aims to develop interactive multimedia learning in the course of using and regulating electric motors. The development of interactive media aims to provide alternative learning media that can facilitate students to learn actively, creatively and independently without any limitations of space, time or the presence of educators. This study uses the ADDIE development model which consists of 5 main stages, namely: (1) Analysis, (2) Design, (3) Development and (4) Implementation and (5) Evaluation. The interactive learning multimedia design design is made using Adobe Flash software. In this study, the technical data analysis used is a descriptive analysis technique, which describes the level of validity of the product produced. Based on the overall validation results of material experts obtained an average of 4.73, the validation results of interactive learning multimedia products from these material experts are categorized as very good. The overall validation results of media experts obtained an average of 4.75, so the validation results of interactive learning multimedia products from these media experts are categorized as very good. Keywords: Interactive Learning Multimedia, Electric Motor, ADDIE Model
MODEL PEMBELAJARAN ICARE BERBASIS BLENDED: LITERASI SEJARAH PADA MATA KULIAH PENDIDIKAN SEJARAH INDONESIA
Authors: Tanjung Samsidar , Ane La , Sumatri Pulung , Mursid R.
Published: December 2023

Abstrak: Tujuan penelitian ini untuk; (1) mengembangkan model pembelajaran ICARE berbasis rotation blended untuk meningkatkan literasi sejarah pada mata kuliah Pendidikan Sejarah Indonesia; (2) mengetahui tingkat kelayakan model pembelajaran ICARE berbasis rotation blended digunakan pada mata kuliah Pendidikan Sejarah Indonesia; (3) mengetahui tingkat keefektifan model pembelajaran ICARE berbasis rotation blended dapat meningkatkan kompetensi mata kuliah Pendidikan Sejarah Indonesia; (5) mengetahui Kemampuan Berpikir Kreatif dan kompetensi mata kuliah Pendidikan Sejarah Indonesia. Metode penelitian dan pengembangan (R & D). Penelitian ini dilakukan Jurusan Pendidikan Sejarah, Fakultas Ilmu Sosial Unimed Tahun Akademik 2023/2024, matakuliah Pendidikan Sejarah Indonesia Masa Kemerdekaan sampai Revormasi. Hasil penelitian menunjukkan, bahwa: model pembelajaran ICARE berbasis rotation blended sangat layak; model pembelajaran ICARE berbasis rotation blended meningkatkan hasil belajar pada mata kuliah pendidikan sejarah indonesia sangat tinggi. 0,63 dengan kategori “sedang” (0,7 > (N-gain) ≥ 0,3), sehingga sangat efektif dalam meningkatkan hasil belajar mahasiswa; dan Kemampuan literasi sejarah terdapat peningkatan pada saat posttest.  Kata Kunci: model pembelajaran; ICARE; blended; literasi; pendidikan sejarah indonesia Abstract: The objective of this research is to; (1) develop a rotation-based blended ICARE learning model to improve historical literacy in Indonesian History Education courses; (2) find out the validity of the rotation blended learning model of ICARE used in the history education courses of Indonesia; (3) know the effectiveness of the Rotation Blended ICare learning model that can improve the competence of the History Education of Indonesia course; (5) know the Creative Thinking Skills and the competences of the history of education of Indonesia courses. Research and development methods (R & D). This research was carried out by the Department of History Education, Faculty of Social Sciences Unimed Academic Year 2023/2024, matakuliah Education History of Indonesia Period of Independence until the Revolution. The results of the research showed, that: the ICARE rotation blended learning model is excellent; the rotationblended ICARE learning model improves the learning outcomes of Indonesian history education courses very high. 0.63 with the category “sedang” (0.7 > (N-gain) ≥ 0.3), which is very effective in improving student learning outcomes; and Historical literacy is improved at the time of posttest.  Keywords: learning model; ICARE; blended; literacy; Indonesian history education
PENGEMBANGAN MEDIA INTERAKTIF MATA KULIAH KOSMETIKA DAN MINUMAN TRADISIONAL PRODI PENDIDIKAN TATA RIAS UNIVERSITAS NEGERI MEDAN
Authors: Sitompul Astrid , Erawati Melani , Wahidah Siti , Rangkuti Irmiah Nurul , Fauzani Asrah Rezki , Dhana Vita Pujawanti
Published: December 2023

Abstrak: Tujuan dari penelitian ini (1) mengembangan media pembelajaran yang interaktif pada Kosmetika dan Minuman Tradisional Program Studi Pendidikan Tata Rias, (2) untuk mengetahui kelayakan penggunaan media pembelajaran yang interaktif pada Kosmetika Dan Minuman Tradisional Program Studi Pendidikan Tata Rias. Metode penelitian adalah Research and Development (R&D) yang mengikuti langkah-langkah model penelitian pengembangan   ADDIE. Subjek dari penelitian yaitu mahasiswa Angkatan 2021 Pendidikan tata rias Angkatan Universitas Negeri Medan. Data berasal dari kegiatan observasi, wawancara serta penyebaran angket. Berdasarkan hasil uji validitas ahli materi diperoleh 91,6% (berkategori sangat baik), penilaian ahli media 97,7% (berkategori sangat baik),  Berdasarkan atas nilai yang diberikan ahli materi 94,49% di kategori yang sangat baik. Produk di uji coba pada kelompok kecil memperoleh nilai 88,6% (berkategori baik), pada kelompok sedang memperoleh nilai 89,2% (berkategori sangat baik), dan pengujian kelompok besar memperoleh nilai 92,1% (berkategori sangatbaik). Berdasarkan hasil penilaian tersebut disimpulkan bahwa media interaktif Kosmetika dan Minuman Tradisional dinyatakan layak untuk membantu dalam berlangsungnya proses belajar. Kata Kunci: Media Interaktif, Kosmetika Tradisional, Minuman Tradisional, Tata Rias   Abstract: The aims of this research (1) developing interactive learning media on Cosmetics and Traditional Drinks, Cosmetology Education Study Program, (2) Determine the feasibility of using interactive learning media on Cosmetics and Traditional Drinks, Study Program of Cosmetology Education. The research method is Research and Development (R&D) which follows the steps of the ADDIE research and development model. The subjects of research are students of 2021 Cosmetology Education of Medan State University. Data comes from observation activities, interviews and distribution of questionnaires. Based on the results of the material expert's validity test, it was found to be 91.6% (category of very good), media expert's assessment was 97.7% (category of very good), Based on the results of the blended learning material expert's assessment, it was 94.49% (category of very good). The product tested in the small group received a score of 88.6% (good category), the medium group got a score of 89.2% (very good category), and the large testing group got a score of 92.1% (category of very good),). The results of this assessment, it was concluded that the interactive media Cosmetics and Traditional Drinks were declared suitable for assisting in the learning process.Keywords: Interactive Media, Traditional Cosmetics, Traditional Drinks, Cosmetology
Inovasi Media Pembelajaran Kartu Domino pada Pembelajaran Tema 7 Sub Tema 1 Sekolah Dasar
Authors: Tamba Robenhart , Butar-Butar Putri
Published: December 2023

Penelitian ini bertujuan untuk mengetahui kelayakan, kepraktisan dan  kefektifan penggunaan media kartu domino pada pembelajaran tema 7 subtema 1 pembelajaran 6 untuk siswa kelas III SDN 091453 Marihat Raja. Jenis penelitian ini adalah penelitian pengembangan R&D (Research and Development) menggunakan model ADDIE melalui 5 tahapan yaitu tahap Analysis, Design, Development, Implementation dan Evaluation. Subjek penelitian ini adalah seluruh siswa kelas III SDN 091453 Marihat Raja dengan jumlah 14 orang. Teknik pengumpulan data menggunakan observasi, kuesioner/angket dan tes. Hasil penelitian media yang dikembangkan menunjukkan: 1) Media pembelajaran kartu domino pada tema 7 subtema 1 pembelajaran 6 dinyatakan sangat valid dengan skor 90% ahli angket materi, 90% ahli angket media, 88% ahli angket praktisi pendidikan, 88% ahli angket intrumen tes, 88% ahli materi, 88% ahli media dan 90% ahli tes, 2) Penilaian guru kelas III SDN 091453 Marihat Raja dinyatakan sangat praktis diterapkan dengan skor 92%, 3) Respon siswa mengerjakan pretest dan post-test saat uji coba lapangan penggunaan media pembelajaran kartu domino dinyatakan efektif dengan N-Gain Score 0,756 persentase 75,58%.