bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Study of the Separation Effect of Tobacco Stem Separator with Different Chamber Shapes
Authors: Tang Jun , Lin Wenqiang , Zhou Bing , He Banghua , Xu Shilong , Liu Yue , Yin Yanchao , Yi Bin
Published: December 2023

To minimize the containing of the stem in the cut tobacco and thus enhance the quality of the cigarettes, the separator used in the winnowing process needs well designed. The separation efficiency of the winnowing process of cut tobacco is affected by many parameters, such as the separator geometry, airflow speed, tobacco feed rate, etc. Among those, the separator geometry should be pre-designed to coordinate with the working airflow speed and tobacco feed rate. This article studies the effect of different chamber shapes of the separator on the separation efficiency of tobacco leaves and stems under various conditions with the same airflow speed. A CFD-DEM coupling model is established to simulate the tobacco motion in the chamber. The contour of velocity and separation rate of tobacco leaves and stems with square and circular chamber is compared. The results indicate that the chamber shapes can affect the fluid field characteristic and hence the separation effect under some airflow speed, the inlet airflow speed should be adjusted to improve the separation rate and achieve better efficiency.
Research on the Key Technology Identification of Supply Chain Based on Entropy Weight and TOPSIS Method
Authors: Zhang Ke , Chu Jiayi , Chen Yi
Published: December 2023

With the development of global economy and the intensification of market competition, identifying and applying appropriate key technologies has become the key for enterprises to achieve excellent performance in supply chain. This paper proposes an entropy weight and TOPSIS method for identifying key technologies in the supply chain. It addresses the issue of neglecting indicator weights in traditional evaluation methods and improves objectivity and accuracy. The method involves constructing an indicator system through literature research and expert questionnaires, calculating weights using entropy weight and TOPSIS, and evaluating and ranking technologies.
Illume Guard – Light Pollution Evaluation Research
Authors: Yu Yunjia , Xiao Xingru , Yang Xinrui
Published: December 2023

As the problem of light pollution is becoming more and more serious, it is urgent to establish a general comprehensive index for light pollution risk evaluation. In this paper, to measure and mitigate the impact of light pollution in each region, we collected relevant data, and established A comprehensive light pollution risk evaluation model to study the risk level of light pollution in each area. light pollution is mainly divided into nighttime light over-brightness pollution, spectral light pollution and glare pollution that can be subjectively perceived by individuals. Correspondingly, four indicators were selected, which are the OBI, AER, AP and PLPI. Using the entropy weighting method, the four indicators are assigned weights and summed to form the LPI. Define the value of LPI in 0–0.1 as almost no pollution; in 0.1–1 as light pollution; 1–3 as moderate pollution; 3 and above as heavy pollution.
Current Status of Belt Conveyor Fault Monitoring
Authors: Zhu Shengqiang , Liu Cong
Published: December 2023

The belt conveyor is an important part of the coal mine transportation system, and the state detection system is the core to ensure its safety and reliability. Traditional condition monitoring methods are difficult to achieve comprehensive and effective monitoring. Distributed acoustic fiber optic sensing system (DAS) can achieve long-distance and high spatial resolution condition monitoring, and can accurately extract vibration or acoustic signals at any position along the optical fiber. Due to this unique advantage, it has attracted more and more attention. Due to the complex working environment of the mine belt conveyor, external interference will affect the fault identification. Therefore, it is necessary to study efficient signal processing methods to improve the accuracy of fault identification. Based on this, this paper introduces the main faults of the belt conveyor and the current status of fault detection of the belt conveyor at home and abroad.
Intelligent Parking System Based on Big Data and Internet of Things
Authors: Huang Xinyi , Zhang Jingyao , Lin Yi
Published: December 2023

Nowadays, the parking problem has seriously affected people’s life. Aiming at the causes of parking problems, this paper proposes an intelligent parking system based on big data and the Internet of Things, and adopts a floating parking fee model to realize the reasonable allocation of parking resources. This paper obtains parking space and vehicle information through the deployment of iot terminal infrastructure equipment, adopts Zigbee technology for wireless short-range communication, NB-LoT technology for wide-area communication, transmits the information to the background database, and then makes statistical analysis of the information through Hadoop big data algorithm. The floating parking fee model is constructed according to the road and parking space information, and the real-time parking space price is determined. Big data algorithm is used to screen and recommend parking lot information for users. Based on the impact of distance and price on users, users can decide the choice of parking lot by themselves. The parking reservation system ensures the realization of user selection and facilitates users to obtain parking resources faster. In this process, the reasonable allocation of parking resources in time and space is realized.
Robotic Manipulator Kinematics Analysis and Modelling Associate with MATLAB Simulink
Authors: Zhao Boyuan , Zheng Dong , Song Xingyuan , Qian Ke
Published: December 2023

Robotic manipulator is playing the key rule of the industrial automation processes, recently the demand of the manipulator is dramatically increased in the manufacturing sectors. This paper will primarily involve the modelling of the manipulator kinematics, dynamics and momentum based on Newton Second Law. In addition, the MATLAB Simulink will combine with the manipulator kinematic model analysis to linearize the result.
New Tanimoto Similarity Measures Between Pythagorean Fuzzy Sets with Applications on Pattern Recognition
Authors: Liu Zhe
Published: December 2023

Pythagorean fuzzy sets (PFSs) are a versatile tool for handling uncertain problems and have proven effective in practical applications. However, many existing Pythagorean fuzzy similarity measures have counter-intuitive situations, making it challenging to measure the similarity or difference between PFSs accurately. To address this issue, we propose two similarity measures for PFSs inspired by the Tanimoto similarity measure. We also explore the properties of the proposed measures and provide several numerical examples to illustrate their superior performance in processing fuzzy information from PFSs. Finally, we demonstrate the applicability of the proposed measures in solving pattern recognition problem.
Technological Integration in Pharmaceutical Logistics
Authors: Chabel Saâdia , Ar-Reyouchi El Miloud
Published: December 2023

This article explores the intricacies of the pharmaceutical logistics sector, encompassing its intricate challenges. The design and equipping of medical equipment warehouses and the distinctive hurdles associated with pharmaceutical product transportation are examined. Key technologies are integrated to enhance efficiency, reduce costs, and enhance patient safety. The integration of these technologies, including Big Data, Artificial Intelligence (AI), Internet of Things (IoT), Autonomous Robots (AR), Mobility (Mob), Cybersecurity, Horizontal and Vertical Integration (HVI), Simulation (simul), Cloud, New Human Interfaces (NHI), Additive Manufacturing (AM), Blockchain, and Robotic Process Automation (RPA), is dissected to showcase their contributions to different aspects of pharmaceutical logistics. This integration, achieved through equations and descriptive insights, unveils how each technology contributes to crucial parameters. The findings reveal notable enhancements in efficiency (up to 15%), cost reduction (up to 18%), and improved patient safety (up to 25%). This paper highlights the transformative potential of these advancements when meticulously implemented, enabling the pharmaceutical industry supply chain to thrive in a technologically enriched landscape.
Detection of GAN Generated Fake Satellite Images Using Deep Learning
Authors: Snehith.K  , Anuradha.G  , Vemuri  , Krishna.N Hari , Sathishkumar V E  , Abualigah Laith
Published: December 2023

Fake Images generation has become a common practice nowadays and this process has become elementary with the advent of Generative Adversarial Networks. Although though fake images are entertaining and have their benefits, they also have a few negative effects. Modern satellite images offer crucial data that aids in tracking various packages, including spatial decision, spectral properties, sensor sensitivity, and many others. Critical details needed for a few applications may be massively obtained from these photos. Yet, altering these images by removing, incorporating, or replicating objects leads to false perceptions of reality. It is our intention to come across those kind of fake satellite images. We use in-depth learning architectures to identify fake Satellite photos in order to distinguish between authentic and fake photos.
Identification of Single Nucleotide Genetic Polymorphism Sites Using Machine Learning Methods
Authors: Yatskou Mikalai M. , Smolyakova Elizabeth V. , Skakun Victor V. , Grinev Vasily V.
Published: December 2023

The paper presents an algorithm for simulation modelling of nucleotide variations in the genomic DNA molecule. To identify single nucleotide genetic polymorphisms, it is proposed to use machine learning methods trained on simulated data. A comparative analysis of the most effective classical and machine learning algorithms for identifying single nucleotide polymorphisms was performed on simulated data. The most optimal method for identifying single nucleotide genetic polymorphisms in DNA molecules at various experimental noise levels is the machine learning algorithm CART.
An Improved Tiering Model for Residential Electricity Tariffs
Authors: Zheng Yi , Li Runkun
Published: December 2023

Accurate step tariffs can stimulate residents’ awareness of electricity saving and enthusiasm while guaranteeing the reasonable recovery of power supply costs and optimizing the company’s benefits. In this paper, the optimization model of power consumption is constructed by minimizing the degree of dissatisfaction of residents, considering the affordability of residents, and constructing the optimization model of residential ladder tariffs with the goal of maximizing the profit of the power supply company in power sales. And through the particle swarm optimization, the modeling optimization is carried out on the residential electricity consumption data of Province J. The experimental results show that the proposed model is more suitable for the consumption psychology of the residents while effectively covering the level of residential electricity consumption.
Calculation Method for Toppling Stability of Layered Counter-Tilt Rock Slope Considering the Effect of Reservoir Water and Its Application
Authors: Lin Yongsheng , Zhao Xiangtao , Wu Qinghua , Ding Guozhen , Yang Ruiting , Wen Tao
Published: December 2023

The layered counter-tilt rock slope often fails in a specific failure mode when subjected to the variation of reservoir water during the storage or operation period. Based on the improved Goodman-Bray method by the China Institute of Water Resources and Hydropower Research, this paper further considers the deterioration of the strength parameters of rock mass and structural plane after reservoir impounding, and the water pressure between rock pillars under the action of reservoir water and its influence on the toppling moment of rock pillars. Then, a calculation model of the toppling stability of the layered counter-tilt rock slope considering the action of reservoir water is established and the corresponding solution program is written by using MATLAB platform. Finally, the left bank slope of Toutang reservoir is taken as an example to analyze the toppling stability under different water levels. The results show that the failure mode of the layered counter-tilt rock slope is controlled by its own rock mass structure, which leads to the toppling instability under different working conditions. When compared with the natural condition, the number of the sliding and toppling blocks increased with the rise of reservoir water level and the stability of bank slope exhibits a significant decline trend.
Research on Landscape Style Recognition and Design Based on Transfer Learning
Authors: Li Qi
Published: December 2023

This paper focuses on the study of landscape style recognition and design based on transfer learning, aiming at the problems such as inaccurate identification, incomplete summary and inaccurate induction in the recognition statistics with photography and naked eyes. Deep neural network and convolutional neural network were used for feature extraction and classification, so as to realize automatic recognition and design of different styles of landscape architecture. Through the training of a large number of data and the deep mechanical shooting technology, the characteristics and rules of different garden styles were analyzed, and the model was built for prediction and classification. And the algorithm is applied to the recognition of garden style, and a new garden recognition system is established. After the experiment, it is found that compared with the original mechanical induction, the new landscape style recognition design system has better universality and accuracy. In terms of style improvement and confirmation, compared with the original recognition success rate, 7.79% was increased. The final results show that the new landscape recognition model based on transfer learning has higher accuracy and application value.
Based on Data Mining Algorithm of Data Mining Research
Authors: Zhu Jia , Wang Jun
Published: December 2023

This paper mainly studies the data mining algorithm in big data mining, and makes improvements in view of the large amount of data, sampling noise and many errors, which can not accurately locate the data. In this paper, the basic algorithm of data mining is studied in depth, from the algorithm principle, cognitive analysis, algorithm model and so on. Neural network optimization, clustering algorithm and other combined algorithms are introduced. The parameters of standard data mining algorithm are studied to understand the application significance and function of different parameters in the algorithm. Secondly, an improved data mining algorithm is proposed to solve the defect that ordinary data mining algorithm is easy to fall into wrong data. The clustering algorithm is used to test the performance of the improved data mining algorithm, and the test results are compared with the test results of the ordinary data mining algorithm. It proves that the improved data mining algorithm has better performance in terms of data mining ability and accuracy. A new clustering data mining algorithm based on neural network is proposed. The final results show that the optimized data mining algorithm has a more perfect and intelligent data mining system.
3D Design of Helical Spring for Automotive Independent Suspension System Under Fatigue Test Conditions
Authors: Ali Salah H.R. , Ahmed Mostafa , Ehab Eslam , Taha Youssef , Samir Ibrahim , Sarwat Mina
Published: December 2023

A helical spring is a critical part of an independent automobile suspension system. Helical coil-spring is subjected to stress as a result of tire excitation at contact with an uneven road surface. Design of helical spring is very vital in the light of many design parameters in order to improve passenger comfort and car stability on roads. In this paper the most important of parameters have been taken into consideration in the proposed 3D design such as type of spring material, geometrical dimensions and stresses. The proposed design of suspension spring aims to improve the kinetic energy storage capacity, expressed with deformation of the spring when tires are moving on the road surface in order to increase passenger comfort. This has been done to achieve a better safety factor while reducing the weight of a spring made of nanomaterials. In addition, comparisons have been made between the operation accuracy of the two common different FEA packages under fatigue test conditions. The results showed differences due to changing design parameters as well as the types of FEA software packages used.
A Risk Assessment Method for Decentralized Finance(DeFi) with Fermatean Fuzzy AHP Approach
Authors: Kirişci Murat
Published: December 2023

Through creative, open, and interoperable financial solutions, decentralized finance is upending the financial system. Decentralized finance, based on distributed ledger technology, is a young and quickly developing field. In terms of growth, decentralized finance protocols are experiencing a perfect storm. However, this developing field requires careful examination because particular hazards are associated with these financial innovations for consumers, creators, regulators, and other stakeholders. The current study seeks to categorize and rank the risks involved in decentralized finance. The present study aims to identify the numerous dangers of decentralized finance through a thorough literature review. Data obtained from experts in previous studies were used for the survey used for empirical analysis. A Fermatean fuzzy AHP (FF-AHP) was used to rank various risks in decentralized finance. Technical risks are the most important, followed by legal, regulatory, and financial risks, according to pairwise comparisons and weights of all the criteria and sub-criteria. Financial risks are the most significant sub-risk, followed by smart contract and transaction risks. The findings of this study have several ramifications for legislators, businesspeople, technologists, and practitioners. These stakeholders can concentrate on these weaknesses in the future and provide longer-lasting solutions.
Mediation of Regional Cerebral Blood Flow in the Relationship between Specific Gut Microbiota and Cognition in Vascular Cognitive Impairment
Authors: Li Wenyi , Jiang Jiwei , Yin Xiangchang , Zhang Yuan , Zou Xinying , Sun Mengfan , Jia Jianjun , Ma Baiping , Xu Jun
Published: December 2023

Background: Gut microbiota could affect the onset and development of vascular cognitive impairment (VCI) through modulating metabolic and immune pathways. However, the vascular mechanisms involved remain unclear. Objective: To investigate the gut microbiota associated with VCI and examine the mediating effects of regional cerebral blood flow (CBF) to explore potential therapeutic targets for VCI. Methods: This prospective study enrolled patients with VCI (n = 16) and healthy controls (n = 18) from the Chinese Imaging, Biomarkers, and Lifestyle study between January 1 and June 30, 2022. The gut microbiota composition and diversity were determined by 16 S ribosomal RNA gene sequencing. The association between gut microbiota and Montreal Cognitive Assessment (MoCA) scores was determined using Spearman’s correlation analysis. Regional CBF was calculated using pseudo-continuous arterial spin labeling. The mediating effects of regional CBF on the relationship between specific gut microbiota and cognition in VCI were investigated using mediation analysis. Results: Compared to healthy controls, patients with VCI had significantly greater abundance of Bifidobacterium, Veillonella, R uminococcus gnavus , Fusobacterium, and Erysipelatoclostridium and smaller abundance of Collinsella. The abundance of Ruminococcus gnavus was negatively associated with MoCA scores in patients with VCI, with the CBF in the left hypothalamus, right hypothalamus, and left amygdala accounting for 63.96%, 48.22%, and 36.51%, respectively, of this association after adjusting for confounders. Conclusions: Ruminococcus gnavus is associated with cognition in VCI, which is strongly mediated by CBF in the bilateral hypothalamus and left amygdala. These findings highlight the potential regulatory roles of nutrition and metabolism-related areas of the brain in VCI.
Using path coloring of graphs for communication in social networks
Authors: Dhanyashree  , Meera K.N. , Broumi Said
Published: December 2023

An L (p1,  p2,  p3,   … ,  pm)- labeling of a graph G, has the vertices of G assigned with non-negative integers, such that the vertices at distance j should have at least pj as their label difference. If m = 3 and p1 = 3,  p2 = 2,  p3 = 1, it is called an L (3,  2,  1)-labeling which is widely studied in the literature. In this paper, we define an L (3,  2,  1)-path coloring of G as a labeling g : V (G) → Z+ such that between every pair of vertices there exists at least one path P where in the labeling restricted to this path is an L (3,  2,  1)-labeling. Among the labels assigned to any vertex of G under g, the maximum label is called the span of g. The L (3,  2,  1)-connection number of a graph G, denoted by k3c (G) is defined as the minimum value of span of g taken over all such labelings g. We call graphs with the special property that k3c (G) = |V (G) | as L (3,  2,  1)-path graceful. In this paper, we obtain k3c (G) of graphs that possess a Hamiltonian path and carry forward the discussion to certain classes of graphs which do not possess a Hamiltonian path, which is novel to this paper. Although different kinds of labeling are studied in the literature with different mathematical constraints imposed, the idea of showing the existence of a graph with a given number as its minimum labeling number has rarely been addressed. We show that given any positive integer, there always exists an L (3,  2,  1)-path graceful graph with the given integer as its k3c (G), thus addressing the inverse question. Finally exploiting the fact that there is no gap on the k3c (G) number line, we give an application of path colorings for secure communication on social networking sites. Efforts to deploy graph coloring in task scheduling, interference-free transmission, etc have been dealt by earlier researchers. In this paper, we deploy the L (3,  2,  1)-path coloring technique defined by us for secure communication in social networks, which has not been dealt with so far.
RETRACTED: An integrated framework for spherical fuzzy MAGDM and applications to english blended teaching quality evaluation
Authors: Xie Bin
Published: December 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
A hybrid FKANO-CRITIC-CCD model for furniture design and evaluation
Authors: Zhaoxian Ren , Min Qu
Published: December 2023

People’s demands for a higher quality of life are increasing, and furniture remains an essential part of daily life. In traditional furniture design methods, designers typically rely on their experience, leading to significant disparities between design solutions and user expectations. A comprehensive model is proposed with combination of Fuzzy KANO (FKANO) method, the Criteria Importance through Intercriteria Correlation (CRITIC) method, and the Coupling Coordination Degree (CCD) method for furniture design and evaluation, using desk design as an example. Firstly, FKANO model is applied to classify and filter user requirements, identifying crucial user needs as the basis for subsequent design. Secondly, three desk design proposals that align with user requirements are formulated. Thirdly, the CRITIC method is introduced, using the filtered user requirements to construct an evaluation system and calculate the weights of various indicators. Lastly, the CCD method is applied to select the optimal desk design from five samples, including three designed by this study and two existing on the market. This comprehensive approach contains critical stages such as requirement identification, weight determination, and solution selection, achieving comprehensive research objectives. Besides, sensitivity analysis was conducted to validate the effectiveness of this integrated model, demonstrating its ability to balance different user requirements under different weight settings. The results indicate that the proposed approach enhances the scientific rigor, systematization, and user satisfaction of the furniture design and decision-making process. It offers valuable guidance for furniture manufacturers and designers, allowing furniture products to more effectively align with market demands, thus enhancing their competitiveness.
Self-Reported Health-Related Quality of Life of Children with Spinal Muscular Atrophy: Preliminary Insights from a Nationwide Patient Registry in Germany
Authors: Landfeldt Erik , Leibrock Berenike , Hussong Justine , Thiele Simone , Abner Sophia , Walter Maggie C. , Moehler Eva , Zemlin Michael , Dillmann Ulrich , Flotats-Bastardas Marina
Published: December 2023

Background:

Spinal muscular atrophy (SMA) is a rare, severely debilitating neuromuscular disease characterized by a wide spectrum of progressive muscular atrophy and weakness.

Objectives:

The objective of this pilot study was to estimate self-assessed health-related quality of life (HRQoL) of children with SMA.

Methods:

Children with SMA were recruited via the German national TREAT-NMD SMA patient registry and asked to self-complete the following rating-scales: KIDSCREEN-27, KINDL, the PedsQL 3.0 Neuromuscular Module (PedsQL 3.0 NMM), EQ-5D-5L, and the Health Utilities Index (HUI). Estimates were stratified by current best motor function of the lower limb and trunk (i.e., non-sitter, sitter, and walker) and SMA type (i.e., type I, II, and III).

Results:

In total, 17 children with SMA (mean age: 9.88 years, SD: 4.33 years, range: 5–16 years; 59% female) participated in the study. Across examined strata, the mean KIDSCREEN-27 total score was estimated at between 48.24 and 83.81; the mean KINDL total score at between 60.42 and 76.73; the mean PedsQL 3.0 NMM total score at between 58.00 and 83.83; the mean EQ-5D-5L utility at between 0.31 and 0.99; and the mean HUI-derived utility at between –0.02 and 0.96.

Conclusions:

The results from this pilot study show that German children with SMA, despite significant physical disability, have surprisingly good HRQoL as assessed using KIDSCREEN-27. Yet, many reside in health states associated with low utility. The disease burden was generally higher among non-sitters compared with walkers, and SMA type I compared with type III, but more research is needed to further delineate this variability. Our preliminary findings contribute to the understanding of HRQoL in pediatric patients with SMA and should be helpful to inform the design of future studies of this patient population.
Gambaran Karakteristik Pasien Rawat Inap COVID-19 di RSUD Adjidarmo Kabupaten Lebak Tahun 2020-2021
Authors: Rahmawati Indria
Published: December 2023

Corona Virus Disease 2019 (COVID-19) merupakan penyakit menular yang disebabkan oleh Severe Acute Respiratory Syndrome Corona Virus (SARS-CoV-2). Karakteristik klinis dapat menjadi faktor predisposisi dari derajat keparahan penyakit COVID-19. Karakteristik meliputi umur, jenis kelamin, pekerjaan, domisili dan gejala klinis pada pasien COVID-19 antara lain demam, batuk tidak berdahak, lemah, lesu, sesak, nyeri dada serta ada gangguan gastrointestinal. Penelitian ini bertujuan mengetahui gambaran karakteristik pasien rawat inap COVID-19 di RSUD Adjidarmo Kabupaten Lebak Tahun 2020-2021. Penelitian ini menggunakan metode kuantitatif bersifat retrospektif, dengan pendekatan desain deskriptif. Pengambilan sampel menggunakan teknik purposive sampling. Subjek penelitian ini berjumlah 94 sampel. Hasil penelitian menunjukkan bahwa mayoritas pasien COVID-19 berdasarkan usia 35-54 tahun (45%), jenis kelamin laki-laki (56%), pekerjaan bukan tenaga kesehatan (68%), domisili wilayah kabupaten lebak (79%), komorbid hipertensi (35%), gejala klinis batuk (70%), compos mentis (94%), TD>140/90 mmHg (35%), RR normal (57%), HR normal (60%), hipertermi (59%), SPO2 normal (57%), ronkhi (49%), PCR positif (100%), leukosit normal (67%), neutrofil normal (95%), limfosit menurun (50%), SGOT normal (96%), SGPT normal (98%), ureum normal (88%), kreatinin normal (90%), CRP normal (84%), foto thorax pneumonia (89%), terapi antibiotik (80%), lama rawat <7 hari (59%), sembuh (88%). Disimpulkan bahwa gambaran karakteristik pasien COVID-19 di RSUD Adjidarmo Kabupaten Lebak didapatkan mayoritas laki-laki, rentang usia 36-55 tahun, dengan gejala batuk dan komorbid hipertensi, serta penurunan jumlah limfosit.
LUARAN MATERNAL PASIEN PREEKLAMSI BERAT AWITAN DINI DAN LAMBAT BERDASARKAN METODE PERSALINAN
Authors: Salam Uqbah Abdul , Aziz Aryani , Akbarini Dwi
Published: December 2023

Preeklamsi berat adalah hipertensi onset baru (tekanan darah sistol ? 160 mmHg atau diastol ? 110 mmHg) setelah usia kehamilan ? 20 minggu. Berdasarkan onset perjalanan penyakit preeklamsi dibagi menjadi preeklamsi awitan dini dan preeklamsi awitan lambat. Ibu dengan preeklamsi biasanya dilahirkan lebih awal untuk mencegah terjadinya komplikasi ibu dan janin. Keputusan pemilihan metode persalinan tidaklah mudah, karena sebagian besar kehamilan yang masih jauh dari aterm dan dengan kondisi serviks yang belum baik, cara persalinan pada ibu dengan preeklamsi harus dilahirkan dengan pertimbangan obstetrik rutin. Penelitian ini bertujuan untuk mengetahui apakah terdapat perbedaan luaran maternal pada pasien preeklamsi berat awitan dini dan lambat berdasarkan metode persalinan. Penelitian ini adalah penelitian deskriptif observasional desain cross sectional dengan menggunakan data sekunder dari rekam medis RS Muhammadiyah Palembang dengan besar 555 sampel yang telah memenuhi kriteria inklusi. Hasil penelitian didapatkan komplikasi ibu pada preeklamsi berat awitan dini dan preeklamsi berat awitan lambat lebih banyak ditemukan pada metode persalinan sectio caesarea.
PERSEPSI MASYARAKAT KENANGA TERHADAP RENCANA PEMBANGUNAN RUMAH POTONG HEWAN KENANGA DI KECAMATAN SUMBER KABUPATEN CIREBON
Authors: Sebastian Luky , Nilamcaya Mus , Widyani Retno
Published: December 2023

Kondisi rumah potong hewan saat ini berada di kawasan pemukiman yang padat penduduk serta kondisi bangunan yang sudah tidak layak sehingga pemerintah merencanakan pemindahan rumah potong hewan. Rencana pemindahan rumah potong hewan dari Desa Battembat ke Kelurahan Kenanga nantinya akan memberikan manfaat dan dampak positif maupun negatif bagi masyarakat Kelurahan Kenanga. Penelitian ini bertujuan untuk mengetahui persepsi masyarakat Kenanga terhadap rencana pembangunan rumah potong hewan dan untuk mengetahui hubungan antara persepsi masyarakat dengan karakteristik responden. Lokasi penelitian ini yaitu di Kelurahan Kenanga Kecamatan Sumber dan dilakukan pada bulan Agustus tahun 2021. Jenis penelitian ini adalah deskriptif kuantitatif. Populasi penelitian ini sangat besar yaitu 1.966 penduduk, maka pada penelitian ini dilakukan penarikan sampel menggunakan rumus Slovin sehingga di dapat sampel 43 responden. Analisis data yang digunakan untuk mencari nilai persepsi masyarakat adalah menggunakan skala likert kemudian di uji hipotesis menggunakan uji Chi Square dan koefisien kontingensi apabila ada hubungan. Hasil penelitian penelitian ini adalah persepsi masyarakat Kenanga terhadap rencana pembangunan rumah potong hewan masuk dalam kategori sedang dengan skor 1.241 atau rata – rata skor 28,9 per responden yang kemudian di uji

lanjut dengan Chi Square didapat nilai X2 hitung > X2 tabel yaitu 37,8 > 5,99 yang berarti bahwa terdapat perbedaan yang signifikan pada kategori dalam persepsi masyarakat Kenanga terhadap rencana pembangunan rumah potong hewan. Adanya hubungan antara persepsi masyarakat dengan

karakteristik responden terjadi pada tingkat pendidikandengan nilai X2 hitung= 63,95 > X2 tabel= 12,59 d an keeretan hubungan yaitu kuat atau erat, sedangkan jenis kelamin, usia, dan pekerjaan tidak memiliki hubungan dengan persepsi masyarakat.

Kata kunci : rumah potong hewan, persepsi masyarakat, uji Chi square
Investigating factors that lead to school dropout in Namibia
Authors: Nekongo-Nielsen Haaveshe , Mbukusa Nchindo R. , Tjiramba Emmy , Beukes Florida
Published: December 2023

Although schools report a variety of reasons why learners leave school prematurely, these reasons do not reveal the underlying causes, especially multiple factors that influence learners’ attitudes, behaviours, and performance prior to dropping out. In order to understand the underlying causes behind learners’ decisions for dropping out, using a quantitative approach through document analysis this study first analysed the Education Management Information System (EMIS) reports for 2005 to 2009. The findings revealed that Kavango, Kunene and Omaheke regions were the regions with the highest dropout rates in the country. Using a qualitative approach, with a phenomenological design, the researchers interviewed school principals, school counsellors and teachers at randomly selected 20% of schools with the highest dropout rate for each region. This resulted into 58 schools in the Kavango region, 10 schools in the Kunene region and 5 schools in the Omaheke region. At the same schools, and using the snowball sampling procedure, the researchers selected and interviewed learners who have dropped out at some point during their schooling days but came back to school. The study found that, for all the learners interviewed, 50% of learners dropped out due to pregnancy, 20% dropped out due to economic factors, 15% due to system factors, 11% due to lack of parental involvement, and 4% due to cultural factors. On the basis of the findings a number of recommendations are made to mitigate the dropout phenomenon.
Revitalization of Rajasyah Outbound & Edu Center As Edutourism Based Tourism Object
Authors: Hafizhi Nasution Ainil , Lindarto Hadinugroho Dwi
Published: December 2023

Abstract.Rajasyah Outbound & Edu Center are tourist attractions in North Sumatra, precisely on Bunga Pariama street, Namu Gajah, Kec. Medan Tuntungan. This tourism has decreased vitality so that few visitors come to the place, will do to revive something that was previously empowered, namely using revitalization by identifying the causes of the decline in the vitality of the area and assessing the potential in the area to increase tourism vitality again. This research is base on predetermined variables, named the theory of elements of the city images. This study uses descriptive qualitative methods obtains through observations, interviews, and literature studies. At the end of the discussion, this study will provide recommendations for a tourism revitalization design model with the theories used. By discussing the analysis and recommendations of the design model, is expected to be a guide in developing tourist areas in Medan so that it can increase good economic income for the region.
Rural America at a glance
Authors: Davis James C. , Cromartie John , Farrigan Tracey , Genetin Brandon , Sanders Austin , Winikoff Justin B. ,   United StatesDepartment of AgricultureEconomic Research Service
Published: December 2023

The U.S. rural population is growing again after a decade of overall population loss, with growth of approximately a quarter percent from 2020 to 2022. This growth occurred because rural in-migration was larger than declines in the natural rate (the number of births compared with the number of deaths) of population growth. The rural population is also experiencing declines in poverty. In 2021, 9.7 percent fewer nonmetropolitan counties experienced persistent poverty (20 percent or more of the population had poverty level household incomes in each of the last four decennial Census years) compared with a decade earlier. Still, more than half of extremely low-income nonmetropolitan renter households experienced housing insecurity. This issue was particularly acute for American Indian or Alaska Native and Hispanic households. This report examines recent issues such as rural population and migration trends, poverty, housing insecurity, employment, and clean energy jobs. The report finds that rural employment levels and annual growth rates nearly returned to those seen in the years prior to the Coronavirus (COVID-19) pandemic. Finally, highlighting an emerging employment area of interest, approximately 1 percent of nonmetropolitan workers hold clean energy jobs
Segurança na inteligência artificial por meio de etapas de qualidade de dados de insumo
Authors: Gadelha Isaque Araujo
Published: December 2023

Em tempos de transformação digital, a geração de dados se constitui em um novo tipo de ativo, pois requerer novas formas de aprendizagem organizacional, ensejando novos modelos de negócios. O foco de toda essa transformação é a Inteligência Artificial (IA), subárea da Ciência da Computação responsável pela criação de recursos computacionais com habilidades similares ao raciocínio humano para a resolução de problemas, de forma automatizada. São utilizados elementos da matemática e engenharia, para reproduzir aspectos da inteligência humana, mas também de outras áreas, como filosofia, matemática, economia, neurociência, psicologia, engenharia de computadores, teoria de controle e cibernética e linguística. Daí o nome IA. As máquinas aprendem a falar, escrever, interpretar dados e solucionar problemas por meio da IA, ferramenta que hoje é fundamental para Indústria 4.0, enquanto transição da sociedade industrial para a sociedade do conhecimento e da economia digital. Por sua vez, a IA Generativa utiliza-se de ferramentas multimodais, para trabalhar elementos como a língua falada, imagens, sons, movimentos corporais, etc. Toda essa tecnologia requer inovações nas empresas, por meio da adoção de frameworks, que permitam selecionar e guardar dados qualificados. O presente artigo original foi desenvolvido com base em ampla pesquisa bibliográfica e materiais científicos. Tem o objetivo de demonstrar a relevância da análise de dados, como forma de aplicar as práticas do compliance para a IA. Como resultado desta pesquisa, verificou-se a necessidade de maior atenção aos processos de qualidade de dados de insumo para treinamentos de IA generativas.
Jogos didáticos na aprendizagem ortográfica de estudantes na modalidade EJA em uma escola municipal de Cariacica/ES
Authors: Martins Luiz Gustavo Cardoso , Deorce Mariluza Sartori
Published: December 2023

Essa pesquisa tem como objetivo compreender como o uso de jogos didáticos podem contribuir na aprendizagem ortográfica de Língua Portuguesa dos estudantes da EJA. Trata-se da temática: Jogos Didáticos na Aprendizagem Ortográfica de Estudantes na Modalidade EJA em uma Escola Municipal de Cariacica/ES. Para alcançar esse objetivo, foi feito uma abordagem desse tema, onde a discussão central é saber de que forma os jogos didáticos podem contribuir na aprendizagem ortográfica dos alunos da EJA. A metodologia abordada foi de caráter qualitativa de cunho participante, as análises dos dados foram feitas por meio de questionários, ditados, roda de conversa e aplicação dos jogos. Cita-se, também, a metodologia bibliográfica que serviu de base teórica. Com os resultados encontrados na pesquisa foi possível compreender a importância e benefícios dos jogos educacionais no ensino-aprendizagem; conhecer os aspectos sociais dos estudantes da EJA e identificar as dificuldades ortográficas por meio do ditado. A partir das intervenções foram desenvolvidas atividades como caça-palavras, palavras cruzadas, bingo e soletrando, utilizadas como atividades para fortalecimento da aprendizagem. As atividades buscaram o dinamismo, o diferencial na sua aplicação, um meio de tornar a aula menos cansativa e mais atrativa. Atrelando a ludicidade ao ensino do conteúdo.
ОСОБЛИВОСТІ УПРАВЛІННЯ КОНКУРЕНТНИМИ ПЕРЕВАГАМИ ПІДПРИЄМСТВА
Authors: Хмурова Вікторія , Кулініч Вікторія
Published: December 2023

У статті визначено теоретичні підходи до змісту поняття конкурентних переваг підприємства та обґрунтовано основні види чинників, що впливають на їх формування. Проведено теоретичний аналіз окремих рівнів формування конкурентних переваг в умовах динамічного економічного середовища. Визначено особливості управління конкурентними перевагами підприємства, а також акцентовано увагу на окремих прикладах управління конкурентним потенціалом в умовах нестабільності ринкової ситуації. Наведений аспект дуже важливий з точки зору досягнення ринкової рівноваги підприємства. Додатково було визначено елементи формування конкурентних переваг у системі управління підприємством. Наведені елементи складають комплекс засобів, за допомогою яких компанія має змогу впливати на своїх споживачів, а також забезпечувати оптимальну комбінацію виробничих ресурсів. Розглянуто основні етапи формування системи управління конкурентними перевагами.
КОНЦЕПТУАЛЬНІ ЗАСАДИ ПРОБЛЕМИ СТАЛОГО РОЗВИТКУ НАЦІОНАЛЬНОЇ ЕКОНОМІКИ УКРАЇНИ
Authors: Даценко Антон
Published: December 2023

У статті розглянуто проблему сталого розвитку національної економіки України. Проаналізовано деякі підходи до інтерпретації базового поняття як наукової дефініції, визначено триєдину, інтегративно - структурну модель сталого розвитку, яка включає економічний, соціальний та екологічний аспекти. Виявлено фундаментальні, антропоцентричні та біосфероцентричні засади сталого розвитку, які концептуалізують принцип розумного споживання та гармонійного поєднання людини і природи. Запропоновано шляхи та механізми вирішення завдань та досягнення цілей сталого розвитку на національному рівні, що передбачає комплексні і стратегічні зміни. Підкреслено роль Державної політики з метою забезпечення скоординованої діяльності органів влади та місцевого самоврядування у напрямку досягнення ЦСР національної економіки.
АРКТИЧНИЙ ФРОНТ: ГЕОЕКОНОМІЧНІ ВИКЛИКИ ДЛЯ КИТАЮ І ДАНІЇ
Authors: Кикина Ангеліна
Published: December 2023

У статті досліджуються багатогранні виклики, з якими стикаються Китайська Народна Республіка (КНР) і Королівство Данія як ключові зацікавлені сторони в економічному і географічному ландшафті Арктики. Висвітлюються такі ключові питання, як доступ до арктичних ресурсів, територіально-ідеологічні протиріччя, дипломатичні конфлікти, американський фактор, свобода судноплавства, захист навколишнього середовища і регіональна безпека. На основі аналізу вищезазначених складнощів у контексті китайсько-данської полярної взаємодії підкреслюється зростання ролі Заполяр’я на світовій арені та розкривається сучасний наратив складної геоекономічної динаміки, що відбувається на Крайній Півночі, а також наслідки для глобальної екологічної стійкості та геополітики.
ОЦІНКА БІЗНЕС-СЕРЕДОВИЩА РИНКУ МЕБЛІВ ПОРТУГАЛІЇ ДЛЯ УКРАЇНСЬКИХ ВИРОБНИКІВ
Authors: Кузьома Олена , Хмара Тетяна
Published: December 2023

Мінливість міжнародного бізнес-середовища та посилення конкурентної боротьби підштовхує компанії до постійного розвитку і вдосконалення діяльності. Одним із способів посилення конкурентних позицій на основі ефекту масштабу і розширення меж своєї діяльності є вихід на міжнародні ринки. Успішному виходу компанії на закордонний ринок має передувати маркетингове дослідження бізнес-середовища цього ринку з метою виявлення потенційних загроз і можливостей функціонування компанії на ньому і розробки чи корегування на цій основі стратегії своєї діяльності. У статті розкрито специфіку бізнес-середовища ринку меблів Португалії для українських виробників. Виявлено, що фактори можливостей для вітчизняних меблевих підприємств на досліджуваному ринку набагато переважають фактори загроз, що створює передумови для успішного завоювання цього ринку. Розкрито особливості конкурентного середовища португальського меблевого ринку. Перспективами даного дослідження може бути подальший аналіз бізнес-середовища для українських компаній на ринку меблів Португалії та формування стратегії виходу вітчизняних виробників на даний ринок.
Modelling Well Location Between River and Second Contaminant Source in Riverbank Filtration Systems
Authors: Mustafa Shayma , Bahar Arifah , Abdul Aziz Zainal , Darwish Mohamad , Shamsuddin Mohd Khairul Nizar
Published: December 2023

Extracting water from pumping well near to river in riverbank filtration systems leads to the natural treatment for surface water. To increase the system efficiency, the well should be located at a distance from the river in which the well can produce high percentage of river water that satisfies the requirements of water quality. In case the well is located between river and a contaminant source, its location should be relocated to a suitable place between the two sources. In this article, an analytical solution is produced to specify the suitable distance of pumping well and polluted river in a riverbank filtration systems if there is a contaminant source to the present well. The analytical solution is obtained by using Green’s function. This approach is chosen because of its simplicity for solving multidimensional problems, and its flexibility to deal with arbitrary initial and boundary conditions. The model is compared with numerical one obtained by using MODFLOW software. The results indicate that the location obtained from proposed model is suitable for use to determine the well location. Additionally, the results show that increasing either the pumping rate or initial contaminant concentration leads to an increment to the distance between river well.
Índice de massa corporal pré-gestacional de mulheres com gravidez de alto risco na Amazônia Legal: um estudo descritivo
Authors: Mariano Amanda Silveira , Cunha Mônica Pereira Lima , Cruz Mônica Nascimento , Marques Filipe Augusto Alves
Published: December 2023

Este estudo objetiva descrever a frequência do índice de massa corporal pré-gestacional em gestantes de alto risco em um hospital de referência na Amazônia Legal, entre 2019 e 2020. Trata-se de um estudo descritivo, transversal e quantitativo, realizado na Região Norte do Brasil. Foram investigadas variáveis ​​sociodemográficas e dados antropométricos da gestante; registro de complicações durante a gravidez; e variáveis clínicas do parto e nascimento. 330 puérperas participaram da coleta de dados e 309 foram selecionadas para este estudo. Destas, apenas 150 (48,5%) eram eutróficas. 228 (73,8%) das mulheres tiveram alguma complicação durante a gravidez ou parto. O parto cesárea foi o procedimento entre a maioria das mulheres, com alto percentual de prematuros entre as de baixo peso (63,6%) e de recém-nascidos grandes para a idade gestacional em mulheres com IMC elevado (13,1%). Observou-se alta frequência de sobrepeso e obesidade pré-gestacional, evidenciando a necessidade de políticas públicas voltadas para a questão nutricional.
The Language of Politeness in the US Presidential Debates in 2012
Authors: Doohee Adawiya
Published: December 2023

Politeness is one of the linguistic means in rhetorical construction, as the speaker seeks to avoid expressions that embody actions that threaten the social face, as verbal acts that contradict the desires of the recipients make them feel uncomfortable, and that the purpose of polite strategies is to mitigate the impact resulting from those actions, even if the use of those actions is exacerbated strategies that aggravate social face threats are called “social face aggravating actions,” meaning that polite strategies can be used in reverse to increase the social face threat of the recipient called “social face aggravating practices, candidates in presidential debates seek to appear positively to persuade the audience through polite strategies in verbal communication in polite behavior to show communicative competence in order to enhance their reputation, and to discredit the opponent by using these strategies inversely to increase the severity of acts of a social face threat.