bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation Study on Control Model of Soil Erosion in Gully Watershed of Loess Plateau
Authors: Jin Xu , Zhang Li
Published: February 2024

Soil erosion has caused a series of ecological problems such as soil erosion and environmental deterioration. Moreover, because of the complex terrain in gully watersheds, the process of analysis and regulation by analysts for soil erosion control measures is complicated, which has affected the effectiveness of soil erosion control measures. Therefore, the paper proposes a method of constructing a simulation model of the gully watershed system on the Loess Plateau to analyze its complexity, fragility, and dynamic characteristics, and to conduct in-depth research on soil erosion in the region. On this basis, the paper explores different soil erosion control measures suitable for different morphological patterns, and simulates the differences before and after the implementation of the control measures.Practice has shown that this method can assist soil erosion control personnel comprehensive understanding the situation of the gully watershed system’s soil erosion and determining appropriate soil erosion control measures.
Insulator and Its Defect Detection Based on Lightweight YOLOv5s
Authors: Shi Baitao
Published: February 2024

In order to achieve precise and real-time detection of insulators and their defects by drones, a lightweight YOLOv5s based insulator and its defect detection model YOLOv5s-SGCS-GB-4PH was designed. Firstly, the lightweight network Shufflenetv2-Ghostconv-Conv-SimSPPF (SGCS) was used as the backbone network of YOLOv5s, effectively reducing the number of parameters and complexity of the model; Secondly, introducing GSConv into the neck network to improve model efficiency; Then, a bidirectional feature pyramid network and an additional small target detection head are used to improve the model’s ability to perceive insulators and their defects; Finally, SioU-VF loss function is selected to obtain better target location and improve model accuracy. The experiment shows that the YOLOv5s-SGCS-GB-4PH model reduces the parameter and computational complexity by 34.3% and 48.1% respectively on self-made insulator data, and improves the detection accuracy by 3.6%, achieving a balance between lightweight and detection accuracy. It is more suitable for deployment on unmanned aerial vehicles for real-time detection of insulators and their defects.
Research and Application of National Secret Algorithm in Emergency Handling System
Authors: Zeng Qingqing , Zhang Jun
Published: February 2024

Based on network security issues and the daily use of information platforms, it is very important to design and implement emergency response in line with network information security, which can help organizations respond to network security incidents in a timely and effective manner, and minimize losses. This paper adopts a more complex encryption algorithm and a stronger key management mechanism to provide higher security. From the perspective of business and service candidates, it focuses on the design of the system, as well as the problems existing in the use process and the improvement plan.
Forecasting Analysis of Demand for Agricultural Products in E-Commerce Based on Single Forecasting Model
Authors: Liu Jianglong , Wu Tianhao , Wu Junhui , Chen Zixi , Gong Jue , Chi Hongyi
Published: February 2024

In the era of rapid development of information technology, the e-commerce industry is also booming. The sales problem greatly affects the merchants’ sales revenue and the determination of marketing programs, so it is crucial for merchants to grasp the dynamics of the sales of goods in a timely manner. This study explores the e-commerce agricultural products feature data set and data mining by constructing it. Taking this data as the data base, a single model-based demand prediction model is constructed. And train ARIMA, LSTM, Random Forest models, are trained to solve the problem that the artificial fixed parameter of machine learning model lacks reasonableness, LSTM and Random Forest were optimized and improved first by using PSO and Bayesian algorithm respectively, and then selecting the optimal parameters to constitute prediction model.
Calculation of Raceway Temperature of Cryogenic Swive Based on Thermal Resistance Method
Authors: Meng Fanhao
Published: February 2024

In this paper, the thermal resistance method is used to model and calculate the equivalent thermal network of the temperature distribution at the bearing of the swive under low temperature conditions, and the rationality of the model is verified by the finite element analysis software. The effect of the cavity size on the raceway temperature of the swive is further analyzed by using the equivalent thermal network model. The results show that the temperature of the raceway of the swive increases linearly with the increase of the circumferential size of the cavity, and increases exponentially with the increase of the height of the cavity. The temperature at the raceway can reach -140°C when LNG is transported in a steady state. Special consideration should be given to the influence of low temperature when selecting raceway materials.
A Method Based on Phylogenetic Diversity Index to Biodiversity Conservation Planning at Large Scale and Small Granularity
Authors: Hu Zhilong , Meng Zhen , Yi Xiujuan , Lai Yangjun , Chen Zhiduan , Chu Wenjuan , Tian Haiying
Published: February 2024

Biodiversity conservation is a world issue and establishing national parks is regarded as the most straight and effective means. However, there exists a lack of attention to species with high phylogenetic index during the planning progress. In this paper, a method for biodiversity conservation planning based on phylogenetic diversity index is proposed. It solves the key problems in the implementation of national parks and protected areas with large scale and small granularity, such as rapid calculation of reliable phylogenetic trees with unified evolutionary measurement scale, rapid calculation of phylogenetic diversity index distribution of small granularity units and reasonable planning results. And a multi-level storage method is applied for data loading and retrieving. By applying the method, ecologists could study the distribution patterns of biodiversity and provide a reference for planning protected areas at large scale and small granularity.
A Method of Using a Ground Fan to Remove Tobacco Stem Sticks During the Tobacco Production Process
Authors: Ma Tao , Deng Changqi , Gao Hua
Published: February 2024

Tobacco leaves contain a certain amount of stalk sticks after being shred, and most of these stalk sticks are removed in the silk line by local wind picker. However, in the actual production process, due to the influence of leaf silk moisture, flow rate and the cleaning degree of dust filter bag, the removal effect of stem air in leaf silk after selection is not stable. In order to solve this problem, the regression equations of dust removal speed of blade wire local air separator, frequency of high-speed belt conveyor and stalk removal rate of two key factors were established through experiments, so as to calculate the best dust removal speed of each brand during production and the dust removal speed of each brand under no-load condition. Then, the difference of these two dust removal speed was added to the best dust removal speed of each brand before production. The optimal no-load dust removal speed of each brand before production was obtained. At the same time, the linear regression equation of dust removal wind speed and dust removal fan frequency in no-load state of equipment was established through experiments. Before production, the optimal no-load dust removal wind speed was substituted into the equation, and finally the optimal theoretical frequency of dust removal fan was obtained. After the system error prevention detection, the theoretical frequency was automatically brought into the control system, so as to stabilize the stalk removal rate of local air separator of blade wire.
An Improved C4.5 Algorithm Shannon Information Theory-Based to Optimize Financial Early Warning System
Authors: Dong Lili , Qi Ruishuang , Yang Tiantian
Published: February 2024

At present, facing massive financial data, it is impossible to effectively classify the characteristics of financial data, and there is a problem of low accuracy of financial early warning. Therefore, this paper proposed a financial early warning system based on the improved C4.5 algorithm. First, the traditional C4.5 algorithm is used to preprocess the original financial data to reduce the redundancy of data attributes. On this basis, C4.5 algorithm is improved by integrating with Shannon’s Information theory, transforming attributes with performance patterns into interval values, classifying different financial status data, constructing decision trees, and designing a financial early warning system. Experimental simulations have shown that the designed financial early warning system has high practical value.
Research on Grape Disease Recognition Based on Improved YOLOv5s in Complex Environment
Authors: Zhou Zili , Gu Shenming
Published: February 2024

Aiming at the problems of low recognition accuracy of detector algorithm caused by occlusion interference of grape disease spot in natural complex background, non-significant visual features of grape spot, small target of disease spot and uneven number of sample categories, this study proposed an improved model method based on YOLOv5s. The new WiseIoU is used as the loss function to calculate the positioning loss, so as to improve the accuracy of the algorithm to predict the positioning and speed up the convergence of the model. CA attention mechanism was added to the basic network to enhance grape lesion feature extraction. A small target detection layer was added to the head network of the model to improve the recognition and detection ability of grape small target lesions. IDADP-grape disease recognition image dataset is taken as the main dataset of this study, and combined with self-collected grape disease images, the experimental data set is composed and the training test is carried out. The experimental results show that the improved algorithm mAP0.5 reaches 84.40%, which is 1.30% higher than the baseline model. Compared with other detector algorithms, mAP0.5 and recognition accuracy have improved to different degrees. This method has strong anti-interference robustness and can be used for rapid and accurate identification of grape diseases in complex field environment.
Quantum Evolution and Genetic Mutations
Authors: Hossieni Hossien
Published: February 2024

One of the important problems in quantum biology has been explained in this work. It is the main reason for genetic mutation, which is known as the origin of evolution in organisms. An approach to clarify the main reason for mutation is quantum mechanics. A brief history of genetics, new-Darwinism, and Mendelian inheritance from ancient times to the twentieth century has been presented. The meaning and location of chromosomes and genes in cells, DNA structure, the replication mechanism, the genetic code, tautomeric forms, and the application of quantum mechanics have been described. Finally, we present the importance of quantum tunnelling in playing a main role in the mutation.
Fractional Dynamics and Physics Beyond Effective Field Theory (Part 1)
Authors: Goldfain Ervin
Published: February 2024

Recent research points out that physics far beyond the Standard Model (SM) scale may substantially deviate from the principles of traditional field theory. The goal of this report is to briefly elaborate on the motivation for _fractal spacetime_ and _fractionaldynamics_ in the deep ultraviolet sector of field theory.
Clowns, Clown Doctors, and Coulrophobia: A Scoping Review
Authors: Re Luca Giuseppe , D'Elia Massimiliano
Published: February 2024

INTRODUCTION

Clown therapy in pediatric care settings is becoming increasingly popular. However, clown doctors encounter some children in their visits who are uncomfortable or express feelings of fear. This emotional state is also found among parents and health care personnel. The phenomenon, called coulrophobia, is little studied in the biomedical field, although it has been known for some time. It is deemed necessary to learn more about it to prevent anxiety and fear that is as harmful as it is unnecessary.

OBJECTIVE

To identify, analyze and synthesize the available literature focused on coulrophobia.

METHODS

Scoping review adhering to the framework of Arksey and O'Mally. Retrieval of studies by querying and consulting electronic databases and web resources. Screening of records, analysis of included studies, synthesis of data and information in narrative form and through tables.

RESULTS

Twenty-six studies met the eligibility criteria. The prevalence of coulrophobia among children ranges from 1.1 percent to 6.1 percent. Mostly female and preschoolers are exposed, due to cognitive immaturity that limits the ability to distinguish between fantasy and reality. In adults, the prevalence of coulrophobia is between 18.6 percent and 53.5 percent and mainly prerogative of the female gender. The condition may be the result of childhood trauma associated with an encounter with a clown or mass media promotion of the figure of the evil clown. With some measures, clown doctors can try to prevent children's discomfort or fear.

CONCLUSIONS

Coulrophobia is a specific phobia falling under anxiety disorders that can have a significant and lasting impact in childhood and adulthood and therefore deserves further research.
Assessment of Landslide Susceptibility in the Intermontane Basin Area of Northern Thailand
Authors:   Department of Geography, Faculty of Liberal Arts, Thammasat University, Thailand, Intarat Kritchayan , Yoomee Patimakorn ,   Department of Geography, Faculty of Liberal Arts, Thammasat University, Thailand, Hussadin Areewan ,   Research Unit in Geospatial Applications (Capybara Geo Lab), Faculty of Liberal Arts, Thammasat University, Thailand, Lamprom Wanjai ,   Faculty of Liberal Arts, Rajamangala University of Technology Thanyaburi, Thailand
Published: February 2024

In mountainous terrain, landslides are common, particularly in intermontane basin locations. Such regions can adversely affect both human beings and the environment. In the assessment of landslide susceptibility, machine learning (ML) algorithms are increasingly popular due to their compatibility with geospatial data and tools. Herein, this study evaluated the performance of four ML algorithms: namely, random forest (RF), gradient boost (GB), extreme gradient boost (XGB), and stacking ensemble (STK). These algorithms were implemented to create a practical model of landslide susceptibility. The site under investigation is in the province of Chiang Mai, an intermontane basin area in northern Thailand where populations are settled. To address issues of multicollinearity, the variance inflation factor (VIF) was used. Eight out of fourteen factors were selected for examination; hyperparameters of each model were tested to acquire the best combination. Results indicated that the STK model outperforms all other models, providing evaluation metrics (precision, recall, F1-score, and overall accuracy) of 82.92%, 81.18%, 82.04%, and 81.75%, respectively. The area under the receiver operating characteristic (ROC) curve also reveals the high efficiency of the model, achieving 0.8928. However, further analysis of the appropriate model or base learner is necessary for achieving even higher predictive results.
TREN RATA-RATA LAMA SEKOLAH DAN PERENCANAAN KEBIJAKAN PENDIDIKAN DI KABUPATEN SRAGEN
Authors: Hani'ah Munnal , Mami Hajaroh
Published: February 2024

Penelitian ini bertujuan menggambarkan tren rata-rata lama sekolah dan perencanaan kebijakan pendidikan di Kabupaten Sragen. Penelitian ini merupakan penelitian kuantitatif deskriptif. Data diperoleh dari BPS (Badan Pusat Statistik) Kabupaten Sragen, yang dianalisis dengan Software Minitab. Hasil penelitian menunjukkan bahwa tren rata-rata lama sekolah (RLS) pada laki-laki ialah s-curve trend model, dengan grafik yang fluktuatif (naik dan turun), serta nilai MAPE = 0,280192, MAD = 0,022211, dan MSD = 0,000508. Sedangkan, tren rata-rata lama sekolah (RLS) pada perempuan adalah quadratic trend model, dengan grafik yang cenderung naik, serta nilai MAPE = 0,829394, MAD = 0,052789, dan MSD = 0,005083. Hasil analisis tren tersebut dibarengi dengan kebijakan berupa peningkatan profesionalisme dan akuntabilitas guru, wajib belajar 12 tahun, peningkatan jaminan kualitas (quality assurance) pendidikan, serta pemanfaatan sistem teknologi informasi dan komputer.
KEMAMPUAN KONEKSI MATEMATIS SISWA DALAM MEMECAHKAN MASALAH MATEMATIKA DIVERGEN DITINJAU DARI ADVERSITY QUOTIENT (AQ)
Authors: Ummi Habibul Ummi , Zainal Zainal Abidin , Santi Susanti
Published: February 2024

Koneksi matematis merupakan kemampuan yang sangat penting dan harus dimiliki karena membantu siswa mengetahui keterkaitan antara berbagai konsep baik dalam bidang matematika maupun di luar matematika dan dalam kehidupan sehari-hari. Melalui koneksi matematis, wawasan siswa akan semakin luas salah satunya pada materi bangun ruang sisi datar. Penelitian ini bertujuan untuk mendeskripsikan kemampuan koneksi matematis siswa kelas VIII  MtsN 1 Aceh Besar dalam memecahkan masalah matematika divergen. Metode penelitian yang digunakan adalah pendekatan kualitatif deskriptif. Subjek penelitian ini adalah siswa kelas VIII MtsN 1 Aceh Besar yang terdiri dari tiga siswa saja. Kriteria pemilihan subjek didasarkan pada tingkat AQ siswa (yaitu climber, camper dan quitter), melalui angket adversity quotient. Instrumen dalam penelitian ini adalah peneliti sendiri, lembar tes kemampuan koneksi matematis divergen, pedoman wawancara serta alat perekam. Pengumpulan data dilakukan dengan tes dan wawancara. Hasil penelitian ini adalah: (1) Subjek dengan kategori climber mencapai kemampuan koneksi matematis tinggi dan mampu memenuhi semua indikator koneksi matematis dalam memecahkan masalah matematika divergen. 2) Subjek dengan kategori camper mencapai kemampuan koneksi matematis sedang dan hanya mampu memenuhi 2 indikator koneksi matematis yaitu mengaitkan antar konsep matematika dalam bidang matematika dan mengaitkan antar konsep matematika dalam kehidupan sehari-hari, dalam memecahkan masalah matematika divergen (3) Subjek dengan kategori quitter mencapai kemampuan koneksi matematis rendah karena belum mampu memenuhi ketiga indikator koneksi matematis dalam memecahkan masalah matematika divergen pada tahap menyusun rencana, melaksanakan rencana dan memeriksa kembali.
Date and Authorship of the Ātmabodha
Authors: Andrijanić Ivan
Published: February 2024

The article examines the authorship and dating of Ātmabodha, a popular philosophical poem that, in a popular and poetically imaginative manner, expounds on the main teachings of the Indian philosophical school of Advaita Vedānta. Although traditionally attributed to the renowned philosopher Śaṅkara (8th century), the article presents arguments for placing the work several centuries after Śaṅkara. In addition to the state–of–the–art stylometric method, the General Imposters Framework, which does not recognize Ātmabodha as Śaṅkara’s work, Ātmabodha also does not meet Hacker’s colophon criterion. The paper places particular emphasis on instances of post–Śaṅkarite doctrinal and terminological developments in Ātmabodha, specifically in the comprehension of the concept of ignorance, alongside the introduction of later terminology and concepts. The available evidence suggests a tentative dating of the work between the 11th and early 14th centuries.
MARKETING RESEARCH OF THE UKRAINIAN PHARMACEUTICAL MARKET
Authors:   Pavlo Tychyna Uman State Pedagogical University, Garmatiuk Olena
Published: February 2024

The article presents a marketing research of the pharmaceutical market of Ukraine. It was determined that the marketing research of the prospects for the development of the pharmaceutical market in the new socio-economic conditions is extremely relevant, both directly for the manufacturers of the pharmaceutical industry, the population – consumers of drugs, and for the Ukrainian economy. Based on the results of the research, it was established that the consolidation and expansion of the pharmaceutical business are necessary conditions for survival and development in the conditions of martial law, fierce competition and the growth of costs aimed at scientific research, development and establishment of an effective sales system. The structure of the pharmaceutical market, which consists of the retail market of pharmaceuticals and the hospital segment, is analyzed. It was determined that the creation of products with high added value and significant employment of the population are important features of the pharmaceutical industry. The pharmaceutical industry provides high-skilled jobs in the context of direct employment, contributes to the creation of many ancillary jobs and the dissemination of knowledge. Employment growth in the pharmaceutical industry is to some extent due to higher wages compared to other industries. The structure of the consumption of pharmaceutical products, which consists of the consumption of prescription and non-prescription drugs, was studied. The volumes of production and sales of pharmaceutical products were analyzed. It was determined that one of the most important and socially acute problems of the development of the modern Ukrainian pharmaceutical industry is the problem of drug pricing. The main problems faced by the pharmaceutical market in today's conditions are revealed, namely: damage or even destruction by missile attacks of the production and storage capacity of pharmaceutical enterprises; low purchasing power of the population; large migration of the population who were potential consumers of pharmaceutical products; power outages; the importation of large volumes of humanitarian aid into the territory of Ukraine.
ORGANIZATIONAL AND ECONOMIC MECHANISMS OF BUSINESS ENVIRONMENTАL DEVELOPMENT AT MARITIME ENTERPRISES IN THE POST-WAR PERIOD
Authors:   SO ", Kramskyi Serhii ,   Institute of Market and Economic&Ecological Researches of the NASU", Ilchenko Svitlana ,   SO "Institute of Market and Economic&Ecological Researches of the NASU"
Published: February 2024

Today, the ongoing full-scale invasion of the Russian into Ukraine has caused significant financial, human, migration and political losses to various sectors of the economy of Ukrainian enterprises. In the opinion of the authors, development strategies should be applied in the post-war period of enterprises, losses should be restored through organizational and economic mechanisms of business plans and projects. The advantages of this product can significantly reduce the costs of relevant specialized enterprises in the regional and global shipping market, thereby reducing the cost of marine melting furnaces and increasing their productivity. As a result of research and industrial tests of the product offered by these enterprises, which allow us to guarantee that the stated requirements for the specified technological cover have advantages over analogues. The analysis shows that the beneficiaries of the offered products are: shipping companies, transport companies, technological companies engaged in the production of products for maritime organizations based on infrastructural components. Currently, representatives of the company are conducting negotiations with counterparties regarding the licensed production of ship covers in European and Asian countries. The article examines the current tasks of developing approaches to the strategy of creating projects on the example of the enterprise "Rial-morterminal" for the production of special products and proving its organizational and economic efficiency, planning of human resources at the enterprise. The goal is to develop a strategy based on the example of the company "Rial-morterminal", the production of products that have the advantages of the two types of specialized ship covers mentioned above. The authors investigated SWOT analysis and product risk analysis of marine melting furnaces for all types of ships. The risks of the project were studied: with a ranking of the impact on the project, conditions of risks for the creation of the production of the specified enterprise, a product that has the advantages of the two types of covers for (boilers, furnaces) of the main power plant of sea and river vessels in the regions of Ukraine in the post-war period.
ELECTRODYNAMIC ALGORITHM FOR CALCULATING AN ANTENNA ARRAY BASED ON AN INTEGRAL REPRESENTATION FOR A COMMON REGION FIELD
Authors: MAGRO Valeriy , MOROZOV Valentyn
Published: February 2024

The article is devoted to the study of a new approach in the integral equation method. The solution of the electrodynamic problem is carried out based on conditional selection of the common region in the entire area of electromagnetic field definition. In our previous publications, we proposed an integral equation method based on the selection of a penetrating region for solving the problem of electromagnetic wave diffraction on a periodic structure. The legality of using the proposed approach and its equivalence with the previously proposed approach are shown. In this article, the calculation of an infinite antenna array scanning in the H-plane is carried out. The numerical convergence of the proposed approach for reflection coefficients R10 with increasing order of truncation of the system of linear algebraic equations was studied. It was found that the modulus of the reflection coefficient coincides with the exact solution at M = 1 and subsequently does not change with the growth of M. While the phase of the reflection coefficient changes with the growth of M and when M˃11, the difference between the phase value of the exact solution and the calculated value is less than 1%. That is, for the case of scanning in the H-plane, good convergence of the problem solution was obtained for all scanning angles. The aim of the work is to show that for a certain class of problems of applied electrodynamics, it is possible to apply the integral equation method based on the selection of a common region. The methodology consists in the conditional allocation of a common region in the entire area of electromagnetic field determination and the application of the integral equation method. The scientific novelty is that we have shown the correctness of using a new approach based on the selection of the field of the common region for the calculation of periodic structures in the H-plane. The conclusions can be formulated as follows. It is shown that two approaches can be used to calculate the antenna array in the H-plane: the first based on the selection of the integral representation for the full field of the penetrating region, the second based on the selection of the integral representation for the full field of the common region.
ПЕРЕВІРКА ХАРАКТЕРУ РОЗПОДІЛУ ДАНИХ ПРО ХІМІЧНИЙ СКЛАД ЧАВУНУ НА ВИПУСКУ
Authors: СІДАНЧЕНКО Владислав
Published: February 2024

Вступ. Забезпечення заданого хімічного складу чавуну на виробництві грає вирішальну роль у задачі визначення якості металургійної продукції і важливих економічних показників підприємства. Для досягнення цієї мети виникає необхідність розробки та впровадження ефективних методів прогнозування, які відіграють ключову роль оптимального управління процесом виплавки чавуну заданої якості. Складні технологічні процеси, такі як доменна плавка, піддаються впливу багатьох факторів різної природи. Ці фактори впливають як на загальний перебіг та розвиток процесу, так і на його окремі властивості та кількісні характеристики. Методологія. У процесі дослідження найбільша увага приділялася ключовим аспектам первинної обробки даних про хімічний склад чавуну та методам описової статистики. Головною метою описової статистики є надання інформації про досліджувані дані в компактній та зрозумілій формі. Однак, перш ніж перейти до опису доступних даних, необхідно проаналізувати їх тип і характер розподілу, оскільки різні типи даних вимагають різних методів опису та обробки. Це також буде корисним при виборі відповідного статистичного методу для перевірки гіпотез. Наукова новизна. На даний момент дослідники не дійшли єдиної думки про те, яким законом розподілу описуються дані про хімічний склад чавуну на випуску, крім цього автору невідомі наукові публікації, які докладно розкривають цю тему. У зв'язку з чим виникає необхідність у проведенні дослідження стохастичних властивостей реальних даних про хімічний склад чавуну на випуску доменної печі.
La planeación financiera como herramienta para el cumplimiento de los objetivos organizacionales de las PYMES en la zona metropolitana de Guadalajara 2014-2018
Authors:   Universidad de Guadalajara, Martínez Robles Eduardo , Flores Ortega Gerardo ,   Universidad de Guadalajara, González Velásquez leticia María ,   Universidad de Guadalajara
Published: February 2024

Este artículo de investigación tiene un alcance descriptivo longitudinal debido a que examina el uso de la planeación financiera como herramienta en la administración financiera de las micro, pequeñas y medianas empresas (PYME) que operan en los municipios centrales de la zona metropolitana de Guadalajara, durante un periodo de cuatro años, del 2015 al 2018. El objetivo de este trabajo es analizar a las PYMES que implementaron la planeación financiera como herramienta financiera. Como parte de los resultados obtenidos mediante la aplicación de un instrumento cualitativo, se presenta la clasificación de aquellas empresas que utilizaron la herramienta de la planeación financiera e integraron esta capacidad a la toma de decisiones para lograr el cumplimiento de los objetivos organizacionales.
Contabilidad ambiental: hacia un verdadero desarrollo sostenible en Colombia
Authors: Colmenares Flóres Ricardo Alonso , Aragon Vélez Maico Estivens ,   Corporación Universitaria Americana, Ramírez Betancur Carlos Mario
Published: February 2024

El concepto de contabilidad ambiental va más allá de pensar en el medio ambiente, es entender qué es desarrollosostenible. El presente artículo pretende comparar los principales indicadores de los países miembros de la OCDE y Colombia, que evalúan las tres dimensiones del desarrollo sostenible: viabilidad económica, políticas que protejan el medio ambiente y equidad social. Todo esto desarrollado bajo el estudio aplicando instrumentos cualitativos tales como la documentación e informes realizados por entidades gubernamentales y no gubernamentales. Sin perder de vista la cuestión de investigación descriptiva / interpretativa. Actualmente, Colombia le apuesta ser miembro de la OCDE y es ahí donde el Plan Nacional de Desarrollo cumple un papel fundamental, adoptando medidas necesarias que apunten a alcanzar los indicadores propuestos. Dentro del análisis realizado, se alcanza a evidenciar que Colombia se encuentra por fuera de los rangos promedios en los indicadores tomados, siendo un gran reto para el país poder mejorarlos.
Evolución del costo de los medicamentos antihipertensivos en un país en vías de desarrollo. El caso de México en el periodo 1990-1996
Authors: Calvo Vargas Cesar Gonzalo , Parra Carrillo José Z. , Fonseca Retes Salvador
Published: February 2024

El costo de los medicamentos antihipertensivos es una de las principales limitantes para lograr el control de los pacientes. En este trabajo se comparan dos estudios realizados en México, uno en el año de 1990, y el otro en el año de 1996. El objetivo principal fue el de conocer el costo anual en dólares americanos, de los diferentes medicamentos antihipertensivos disponibles en el mercado, y comparar la evolución que han tenido entre el periodo 1990-1996. Así como determinar el porcentaje que representan del salario mínimo mensual en dicho periodo.
Pengaruh Atribut Produk dan Store Atmosphere Terhadap Keputusan Pembelian Pada Norma Coffee SM. Amin Pekanbaru
Authors: Ikrom Ahmad , Mandataris Mandataris
Published: February 2024

Tujuan penelitian ini yaitu untuk mengetahui dan menganalisis pengaruh dari Atribut Produk (X1), Store Atmosphere (X2), terhadap Keputusan Pembelian (Y) pada Norma Coffee SM. Amin Pekanbaru. Data penelitian didapat berdasarkan kuesioner yang dibagikan kepada konsumen Norma Coffee, sehingga data pada penelitian ini ialah data primer. Sampel yang diambil sebagai objek penelitian ialah sebanyak 100 responden dari konsumen Norma Coffee. Metode Penelitian ini yakni metode kuantitatif. Berdasarkan hasil analisis secara parsial Atribut Produk bepengaruh positif terhadap Keputusan Pembelian pada Norma Coffee SM. Amin Pekanbaru. Berdasarkan hasil analisis secara parsial store atmosphere bepengaruh positif terhadap Keputusan Pembelian pada Norma Coffee SM. Amin Pekanbaru. Sementara uji F, memperlihatkan terdapat hubungan secara serentak antara variabel X dan Y sebab nilai Fhitung > Ftabel. Hasil R Square ialah 0,454. Nilai ini memperlihatkan sejumlah 45,4% variabel Atribut Produk dan Store Atmosphere memiliki pengaruh positif terhadap Keputusan Pembelian pada Norma Coffee SM. Amin Pekanbaru dimana sisa lainnya 54,6% dipengaruhi terhadap variabel yang tidak dipakai di penelitian ini
Pengaruh Profitabilitas Dan Solvabilitas Terhadap Nilai Perusahaan Pada Perusahaan Perbankan
Authors: Ramadhani Rina Cahya , Yudiana Yudiana , Dali Rahmat Mulyana
Published: February 2024

Nilai perusahaan adalah persepsi investor tentang tingkat keberhasilan suatu perusahaan, yang ditunjukkan pada harga sahamnya. Tujuan dari penelitian ini adalah untuk menentukan pengaruh profitabilitas dan solvabilitas perusahaan terhadap nilai perusahaan pada perusahaan perbankan yang terdaftar di Bursa Efek Indonesia dari tahun 2017 hingga 2021. Metode penelitian yang digunakan pada penelitian ini yaitu pendekatan kuantitatif dengan menggunakan metode deskriptif yang dimana hasil penelitian data berupa pemaparan statistik yang diolah menggunakan software SPSS v. 26.  Data yang digunakan pada penelitian ini  adalah data sekunder berupa laporan keuangan tahunan dan daftar harga saham  perusahaan perbankan periode 2017-2021. Teknik pengambilan sampel  pada  penelitian ini menggunakan teknik  purposive sampling dari 47  perusahaan terpilih 11 perusahaan perbankan yang dijadikan  sampel dengan periode selama lima tahun.Berdasarkan perhitungan dan analisis pada penelitian ini, diperoleh hasil yang menyatakan bahwa secara parsial Profitabilitas berpengaruh signifikan  terhadap Nilai Perusahaan artinya  semakin tinggi profitabilitas semakin baik nilai  suatu perusahaan begitu  pun sebaliknya dan untuk Solvabilitas tidak berpengaruh signifikan terhadap Nilai  Perusahaan artinya tinggi rendahnya solvabilitas tidak memberi pengaruh terhadap nilai  perusahaan. Secara simultan profitabilitas dan solvabilitas berpengaruh signifikan  terhadap nilai perusahaan.
CORPORATE SOCIAL RESPONSIBILITY IN THE HALAL FOOD INDUSTRY: APPLICATION OF SUPPLY CHAIN PERSPECTIVE
Authors: Rahman Md Mahfujur , Mohd Shahril Ahmad Razimi  , Issa Khan  , Zaira Zaman Chowdhury
Published: February 2024

This study aims to construct a comprehensive framework for Corporate Social Responsibility (CSR) within the Halal food industry's supply chain. It acknowledges the increasing public attention towards corporate social responsibility (CSR) and supply chain practices in the food industry. It utilizes current literature and recent developments to provide a comprehensive understanding of CSR in the Halal context. Methodologically, this study conducts a systematic review of relevant articles and materials, forming a robust theoretical underpinning. Our findings reveal key CSR dimensions specific to the Halal food supply chain, including animal welfare, health and safety, environmental concerns, and community involvement. The proposed framework not only enhances understanding of Halal supply chain CSR practices but also sets the stage for strategic and operational improvements. Significantly, this study contributes to the scholarly conversation by integrating Islamic principles with contemporary CSR practices, offering a unique perspective that aligns business operations with ethical and religious standards.
CABARAN SEMASA USAHAWAN DALAM PERMOHONAN PENSIJILAN HALAL MALAYSIA DI NEGERI PERLIS
Authors: Hassan Muhammad Haziq , Zamri Mundzir , Fadilah Arif
Published: February 2024

Kerajaan berhasrat untuk menjadikan Malaysia sebagai hab halal antarabangsa. Oleh itu, pelbagai penetapan piawaian, prosedur dan inisiatif telah diperkenalkan bagi membantu pihak industri mematuhi garis panduan halal secara menyeluruh. Objektif kajian ini dilakukan adalah untuk merungkai permasalahan yang dihadapi oleh para usahawan di negeri Perlis dalam permohonanpensijilan halal Malaysia. Kajian ini dijalankan adalah berdasarkan kaedah analisa kandungan melalui data hasil dapatan temubual bersama pegawai di Bahagian Penyelidikan dan Hub Halal, Jabatan Hal Ehwal Agama Islam Perlis, JAIPs sebagai badan berautoriti utama dalam pengurusan halal negeri Perlis. Kajian ini menyimpulkan bahawa pelbagai inisiatif yang telah diambil oleh pihakberautoriti untuk menjaga kredibiliti pensijilan halal Malaysia tetapi, usaha pengawalan perlu dilaksanakan diperingkat dalaman syarikat pemegang pensijilan halal Malaysia. Justeru itu, segala isu cabaran yang diketengahkan dalam kajian ini dapat memberi panduan kepada para usahawan untuk menghadapi cabaran semasa memohon dan memelihara pensijilan halal Malaysia.
SOLVING BIPOLAR FULLY FUZZY SYLVESTER MATRIX EQUATIONS WITH NEGATIVE FUZZY NUMBERS
Authors: Ahmad Nazihah , Cheah Soo Thape Neendha
Published: February 2024

Sylvester matrix equations play a crucial role in control theory for controller design. Bipolar Fully Fuzzy Sylvester Matrix Equations (FFSME), incorporating both positive and negative components, are employed in controller design to address uncertainties that may affect a system’s performance and stability. However, there is not much existing research on combining bipolar fuzzy numbers and FFSME,and most of them mainly deal with positive coefficients. Thus, this paper presents a method that enables solving the negative coefficient of bipolar FFSME in the form of Left-Right (LR) triangular fuzzynumbers using an Associated Bipolar Linear System (ABLS). To obtain the ABLS, bipolar FFSME is transformed into a bipolar Fully Fuzzy Linear System (FFLS) using the Kronecker product and Vecoperator. Subsequently, the solution is derived through the inverse method, and the equation of the ABLS is rearranged as a bipolar fuzzy matrix. Additionally, this paper provides two numerical examples to illustrate the applicability of the constructed method.
FORECASTING RAINFALL VOLUME IN SELANGOR WITH A COMBINED ARIMA MODEL
Authors: Tee Huey Yin , Mansor Rosnalini
Published: February 2024

Flash flood is the most hazardous type of flooding, mainly caused by extensive rainfall. It also can cause significant harm to a community’s economy, ecology, and society without warning at an irrational pace. Therefore, this study was conducted to detect the time series element within the rainfall data, select the optimal model, and make predictions about the volume of rainfall in Selangor. A variety of univariate time series models were utilized, including the naïve model, decomposition model, Autoregressive Integrated Moving Average (ARIMA) model, exponential models, and combined models. Historical monthly rainfall data collected from Petaling station and Subang station from 2018 to 2022 were used to estimate the parameters of the models, and the model was evaluated for the smallest error of measurements. Previous research mostly focused on complex methodologies for forecasting rainfall. However, this research aimed to identify a simple tool for fast prediction of rainfall. The results showed that the combination of the ARIMA (2,0,3) model from Petaling Station and the ARIMA (4,0,4) model from Subang station were able to capture the trends and seasons in the time series with the lowest error of measurement on short-term predictions of rainfall volume. Furthermore, the study delves into the concept of combined time series models, which are blended using weighted performance measures to enhance prediction accuracy further. The research acknowledges certain limitations of univariate time series models, notably their inability to account for intricate interactions among environmental variables and potential long-term trends, such as those stemming from climate change. Overall, the study explores the potential of combining models to refine predictions for forecasting rainfall volume in Klang Valley.
Effectiveness of integrated prophylactic antibiotics prescription in patients undergoing radiofrequency and microwave ablation of liver tumors: a retrospective cohort study
Authors: Pang Wen Xuan , Hung Kai Chee , Chua Nathalie Grace Sy , Chung Shimin Jasmine , Leong Sum
Published: February 2024

An institutionalised in-house antibiotic prophylaxis (AP) guideline was developed in May 2019 to standardize AP prescription. This retrospective cohort study evaluated the effectiveness and clinical outcomes of the newly launched AP guideline on patients undergoing radiofrequency (RFA) and microwave (MWA) ablation of the liver from November 2018 to March 2020. Patients without high risk of biliary tree contamination were recommended a single dose of 2g IV cefazolin (or 600mg IV clindamycin in cases of beta-lactam allergy). Univariate analysis was conducted to evaluate the clinical outcomes.

 

The study included 87 patients who underwent 93 procedures consisting of 18 RFAs and 75 MWAs for liver tumours. Concordance with AP guidelines improved significantly (38.5% vs. 87.0%; p<0.001). There were no ablation-related infections and mortality within 30 days post-ablation, and post-procedural nausea and vomiting were significantly reduced (15.4% vs. 1.9%; p=0.020). No significant difference in post-procedural fever (7.7% vs. 5.6%; p-value=0.693), chest and/or abdominal pain (5.1% vs. 7.4%; p=1.000) were noted.

 

The newly implemented in-house antibiotic prophylaxis guideline streamlined AP prescribing in patients undergoing RFA and MWA. Additional research is needed to determine the effects on infection and mortality in patients with high-risk factors such as bile duct stents, sphincterotomies, and biliary-enteric anastomoses.
Experimental Study of AGET ATRP of MMA and BMA Homopolymerizations in Emulsion Batch Reactor
Authors: Awad Mohammed
Published: February 2024

Controlled radical polymerization (CRP) is a fast-growing technique for the creation of nano-sized polymer particles. In particular, atom transfer radical polymerization (ATRP) is a promising catalytic CRP method that has been extensively studied in academia and industry. Due to the limited studies of ATRP in emulsion systems, the focus of this research project is to investigate an ATRP procedure initiated by an activator generated by an electron transfer (AGET) scheme in a 2L stirred tank emulsion reactor. The current research incorporates the environmental and sustainable aspects of benign technology.

This thesis consists of four parts. The first investigation dealt with the compatibility of the surfactant-ligand design. For instance, hydrophobic ligands, which are very efficient in emulsion ATRP, are expensive and commercially not easily available. Therefore, a successful controlled polymerization system using an eco-friendly and low-cost hydrophilic like HMTA ligand and an anionic surfactant is examined in this research.

In addition, the solubilities of the Triphenylphosphine (PPh3), 1, 10-Phenanthroline (Phenol), and Vitamin D ligands in the organic phase were evaluated to confirm the possibility of producing PMMA with controlled characteristics in an emulsion AGET ATRP technique.

The second part of this thesis involves a detailed experimental study, which examined the effects of temperature, surfactant concentration, monomer water (M/W) ratio, and agitation speed on the characteristics of poly(methyl methacrylate) (PMMA). The results revealed that it is possible to achieve high monomer conversion at a mild temperature with a limited occurrence of coagulation.

The third part of the thesis involves a kinetic study of emulsion ATRP. Literature reveals no detailed reports on chemical kinetics of emulsion ATRP. Thus, an empirical model was using experimental data collected in this study developed to describe the rate of polymerization in emulsion AGET ATRP. The results demonstrate that the behavior of ATRP in emulsion is significantly different from FRP in emulsion media.

Lastly, a statistical analysis of poly(butyl methacrylate) PBMA was done using screening design of experiments approach. The results revealed that temperature, surfactant, stirring speed and temperature-surfactant interaction have significant effects on the conversion and the temperature and ligand have a more pronounced impact on the molecular weight distribution (MWD) of the final PBMA product.
Investigation of Local and Overall Volumetric Mass Transfer Coefficient and Gas Holdup in Aerated Coaxial Mixing Systems Containing Non-Newtonian Fluids through Tomography and Computational Fluid Dynamics
Authors: Jamshidzadeh Maryam
Published: February 2024

Gas dispersion in Newtonian and non-Newtonian fluids is one of the most important processes in biochemical industries. Aerated mixing tanks are preferred due to their superior performance in increasing the contact area and mass transfer between two phases. To enhance the operation of aerated mixing tanks, especially in the presence of non-Newtonian fluids, a configuration consisting of two central impellers and a wall scraping anchor is recommended. In this study, the performance of the coaxial system for gas dispersion in a non-Newtonian fluid was investigated using electrical resistance tomography (ERT), and computational fluid dynamics (CFD). For the first time, the effects of the central and anchor impeller speed, air flow rate, rheology, impeller type, pumping direction, and anchor rotation mode were studied on the performance of coaxial mixers comprised of two central impellers at the presence of a pseudoplastic fluid in terms of local and overall gas hold-up, bubble size, and volumetric mass transfer coefficient (kLa). Modified correlations were proposed for the power number and Reynolds number of the aerated coaxial systems. Additionally, empirical correlations for power consumption, overall gas holdup, and volumetric mass transfer coefficient of the coaxial mixer were also developed. The results showed the downward pumping co-rotation mode of the pitched blade impellers resulted in the highest gas holdup, while the numerical simulations revealed a non- uniform distribution of the gas phase in the system with the pitched blade impeller in the downward pumping mode. It was further discovered that the Sauter mean bubble size increased with the fluid concentration resulting in a lower amount of interfacial area, and consequently decreasing the kLa of the system. A comparison between the results of local and overall kLa revealed the superiority of the coaxial mixing system furnished with Rushton turbines. The results of this study lead to the development of: (i) new approaches, based on the local distribution of the gas holdup and kLa, to characterize aerated coaxial mixing tanks and evaluate coaxial mixers performance; (ii) a modified correlation for equivalent speed and diameter of the coaxial mixers; and (iii) empirical correlations that can be used for scaleup purposes.