bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of Metal Content in Water Samples from Natural Hot Water Sources in Ulumbu Desa Wewo Kecamatan Satar Mese Center Manggarai Regency
Authors: Idah Helena , Suryatika Ida Bagus Made , Paramarta Ida Bagus Alit , Gunawan A.A. Ngurah , Wendri Nyoman , Rupiasih Ni Nyoman
Published: March 2024

Tests have been conducted on the metal content of Calcium (Ca), Magnesium (Mg), Iron (Fe), Zinc (Zn), Copper (Cu), and Timbal (Pb), on samples of natural hot water Ulumbu Wewo Village Satar Mese Central Manggarai Regency. The research was conducted at the Joint Laboratory of the Faculty of MIPA Udayana University using Atomic Absorption Spectrometry (AAS). The data of the study showed samples of hot water from hot water bathing attractions in Ulumbu Village Wewo Satar Mese District of Central Manggarai Regency contain Ca, Mg, Fe, Zn, Cu, Pb which at each point was different. Calcium content at point 1: 1.6001 mg/L, point 2: 26.9995 mg/L. point 3: 22.3959 mg/L, point 4: 1.1805 mg/L, and point 5: 6.7990 mg/L; magnesium content at point 1: 9.8199 mg/L, point 2: 5.5111 mg/L, point 3: 3.2000 mg/L, point 4: 5.6998 mg/L, and point 5: 8.5598 mg/L; iron content at point 1: 71.8500 mg/L, point 2: 28.7231 mg/L, point 3: 14.3057 mg/L, point 4: 59.3206 mg/L, and point 5: 64.1108 mg/L; the zinc content was only found at point 1 of: 0.5423 mg/L; copper content at point 1: 1.9899 mg/L, point 2: 0.4967 mg/L, point 3: 0.5701 mg/L, point 4: 0.8975 mg/L, and point 5: 1.4201 mg/L and lead content at point 1: 2.7687 mg/L, point 2: 3.8499 mg/L, point 3: 4.4291 mg/L, point 4: 4.8486 mg/L, and point 5: 5.7186 mg/L.
Optical Characterization of Ferric-Doped ZnO Thin Film Deposited By Chemical Bath Deposition Method
Authors: Shahjahan Mohammad , Eseta Aktarunnahar , Haque Mohammad Asadul
Published: March 2024

Fe-doped ZnO holds numerous potential uses in devices such as UV light emitters, piezoelectric transducers, transparent electronics in solar cells, and bright windows as an II-VI semiconductor material. This study looked into the band gap, surface characteristics, optical transmittance, and absorbance of ZnO thin films with Fe doping in different pH conditions such as 8, 9, and 10. The films were prepared using the chemical bath deposition (CBD) method at 350 °C on a glass substrate. The samples were characterized using UV-visible spectroscopy and scanning electron microscopy (SEM). The SEM images of the undoped samples exhibited a lack of cracks, but the doped samples displayed visible cracks due to the presence of Fe in the films. ZnO thin-film surface shape is altered by pH and Fe doping variations. There is a tendency for the films' visual transmission to decrease when the pH rises. The absorbance for all samples increases in the UV and declines in the visible. Fe doping causes the optical band gap Eg to drop. The band gap of both doped and undoped samples reduces when pH rises.
Makna Lotus dalam Lagu LiSA - GURENGE
Authors: Nabila Alya Husna , Puspitasari Diana , Kadafi Muammar
Published: March 2024

This research contains the meaning of lotus in the song LiSA - Gurenge which has an implied meaning regarding the philosophical value of lotus which is analogous to the stages of human life. The purpose of this study is to describe the representation of the lotus flower and its meaning in the Gurenge song for Japanese society. This study uses a qualitative descriptive method, see note, then the theoretical concept used in this research is the semiotic theory of Charles Sanders Peirce. The results of this study found that there is a representation of the living teaching of the Lotus Sutra which is believed by Tiantai and Nichiren Buddhists who are widespread in East Asia. Based on the results of the research, it can be concluded that the Gurenge song describes the human process in an effort to achieve the highest enlightenment to reach nirvana in accordance with Buddhist teachings
Analisis Pengambilan Keputusan Untuk Korelasi Pembelian Produk Menggunakan Metode Association Rules
Authors: Khrisnawati Erlin Ayu , Renita Dayu
Published: March 2024

Business people are required to be able to keep up with the increasingly dynamic times. Business people must have the right strategy to be able to compete with competitors so that the business they run continues to generate profits. From the existing sales transaction data, it can be used for decision making for business people in developing a good strategy in developing their business. By using data mining with the Association Rules method can be used to analyze existing sales patterns. In this test, the author uses the Apriori Algorithm to analyze the market basket analysis to find out the correlation between product purchases and products that are often purchased by consumers. From the analysis of the a priori algorithm, it produces frequent items that meet the minimum values ??of support and confidence. The result of this test is to provide product recommendations to consumers based on interrelated items and as a reference in product promotion to support decisions in developing good strategies in their business.
Implementation of Security Information and Event Management (SIEM) for Monitoring IT Assets Using Alienvault OSSIM (Case Study: Udayana University Information Resources Unit)
Authors: Anam Fahri Choirul , Sasmita Gusti Made Arya , Pratama I Putu Agus Eka
Published: March 2024

One way that can be done to analyze cyber security equipment is by monitoring the logs it generates. Meanwhile, to be able to analyze the logs generated from each equipment requires a long time and has a high level of difficulty. When the management of the cyber security system is not going right, it causes the failure of the cyber security system. So a defense mechanism is needed on managing the log called Security Information and Event Management (SIEM) using Alienvault OSSIM tools. Threat Monitoring or monitoring of security threats in the Cyber world, is used to analyze, evaluate, and monitor network threats and as an end point for organizations to provide evidence of security threats, such as network intrusions, data exfiltration, ransomware and other malware attacks. The limitations of the problems carried out in this study were limited to Threat Monitoring using Alienvault OSSIM. There are 6 servers at the Udayana University Information Resources Unit (USDI) that are being monitored. Monitoring was carried out for 3 months. There were 230,622 Events or events that were collected as a whole. IT assets that have the most logs during monitoring are owned by DNS Servers with a total of 200,424 Events. There are 11 Event Names and 34 event logs that are discussed. The log is packaged in the form of a report along with an explanation, of course it can assist administrators in evaluating their IT assets. There is also an email notification feature using Gmail. Overall there are no attacks that are so significant with the low risk category. Alienvault OSSIM is proven to be able to carry out monitoring processes in real time properly and can help USDI to monitor the activities of its IT assets.
Klasifikasi Jenis Lebah Menggunakan Metode Convolutional Neural Network (CNN)
Authors: Chairunissa Syifa Fhadhillah
Published: March 2024

Penelitian ini bertujuan untuk mengembangkan suatu sistem klasifikasi jenis lebah menggunakan metode Convolutional Neural Network (CNN). CNN adalah salah satu metode pengolahan citra yang dapat mempelajari fitur-fitur pada gambar secara otomatis, sehingga sangat efektif untuk digunakan dalam tugas klasifikasi jenis lebah madu. Data yang digunakan dalam penelitian ini adalah gambar lebah dari tiga jenis yaitu Carnolian Honey Bee, Italian Honey Bee, dan Russian Honey Bee. Pengolahan data dilakukan dengan melakukan preprocessing pada gambar seperti resizing dan normalisasi intensitas piksel. Selanjutnya, model CNN dilatih pada dataset menggunakan optimizer Adam. Akurasi model diukur menggunakan metode ini dengan hasil akurasi sebesar 97,8%. Dalam penelitian ini juga dilakukan analisis terhadap fitur-fitur yang dipelajari oleh model CNN dalam mengklasifikasikan jenis lebah. Hasil penelitian menunjukkan bahwa metode CNN dapat digunakan secara efektif untuk klasifikasi jenis lebah dengan akurasi yang tinggi, serta mampu mempelajari fitur-fitur penting pada gambar lebah yang digunakan sebagai dataset.
Prokrastinasi Akademik dalam Pergaulan Mahasiswa PGSD
Authors: Nugroho Femas Anggit Wahyu , Ningsih Nur Marisa Supriyanti , Az-Zahrah Sagita Shofa , Fajrie Nur
Published: March 2024

This study aims to find out more about the behavior of academic procrastination in the association of PGSD students. The subjects of this study were 7 semester 4 PGSD students at Muria Kudus University who had experienced academic procrastination and had a social environment that encouraged them to do so. The research method uses qualitative methods with a case study approach. Data collection is done through observation, in-depth interviews, documentation, and recording. Data validity test includes internal validity, external validity, reliability, and objectivity. Data analysis techniques include the stages of collecting, reducing, presenting, and drawing conclusions. The results of the study indicate that there are interrelated internal and external factors that cause academic procrastination behavior. Internal factors in the form of physical and psychological conditions. External factors include lack of support and cooperation, busy working and organizing, and social influences. Social influence is the most dominant external factor causing academic procrastination. The influence of association triggers the emergence of academic procrastination behavior due to self-alignment efforts to be accepted in a group characterized by cohesiveness, agreement, and obedience.
Pengembangan Program – Program Sosial untuk Mengatasi Patologi Sosial dalam Pernikahan Dini, Nikah Siri dan Kawin Kontrak (Studi Kasus di Kecamatan Ngajum Kabupaten Malang)
Authors: Kumalasari Febrianty
Published: March 2024

Fenomena pernikahan dini, nikah sirri, dan kawin kontrak memiliki dampak negatif, seperti pelanggaran hak asasi manusia, kekerasan dalam rumah tangga, pengabaian kesehatan reproduksi, dan risiko penyebaran penyakit menular seksual. Untuk mengatasinya, diperlukan pengembangan program-program sosial berdasarkan data empiris dan teori yang mencakup pendidikan, pemberdayaan perempuan, penegakan hukum, kesehatan reproduksi, dan dukungan psikososial. Fenomena ini juga berdampak negatif terutama pada anak-anak yang terlibat dalam pernikahan dini. Penelitian ini menggunakan metode kualitatif dengan studi kasus, termasuk wawancara mendalam dan observasi partisipan, dengan menggunakan teori sosiologi dan psikologi sebagai kerangka kerja analisis. Validitas dan reliabilitas penelitian dijamin melalui triangulasi data dan teknik member checking, dengan tujuan melindungi hak asasi manusia dan kesejahteraan individu serta mengatasi fenomena tersebut.
Analisis Perilaku Mahasiswa dalam Menemukan Literatur Rujukan Materi Diskusi Tutorial Online
Authors: Pramudibyanto Hascaryo
Published: March 2024

This research analyzes students' behavior in searching for reference literature in online tutorial discussions, highlighting various approaches used in deepening understanding of learning materials. The results indicate that students actively utilize online tutorials as their primary source to enhance understanding and skills related to the courses they are taking, as well as actively participate in online discussions. However, some students exhibit less active participation, indicating variations in student engagement in online learning. Some factors influencing low participation include differences in learning preferences and time constraints. Therefore, it is recommended to develop clear participation guidelines, provide incentives to active students, and develop more interactive learning methods in online tutorials. Additionally, educational institutions should provide strong technical support to students to ensure active participation. These efforts are expected to enhance the quality of learning and interaction among members of the academic community in online learning.
Análisis de Frecuencias bivariado de Crecientes Anuales mediante enfoque práctico de las Funciones Cópula
Authors:   Universidad Autónoma de San Luis Potosí, San Luis Potosí, México, Campos-Aranda Daniel Francisco
Published: March 2024

El estudio de la seguridad hidrológica en los embalses se realiza con el llamado hidrograma de la creciente de diseño. El proceso más sencillo y aproximado para estimar tal gráfica se basa en el análisis de frecuencias bivariado (AFB) para definir su gasto máximo (Q) y volumen (V), asociados con el periodo de retorno conjunto de diseño. Las funciones Cópula (FC) se fundamentan en la dependencia entre Q y V, y definen la distribución bivariada por medio de las funciones univariadas marginales previamente adoptadas. El enfoque práctico adoptado utiliza FC de un solo parámetro de ajuste y selecciona la más adecuada a partir de la dependencia que muestra el registro conjunto de Q y V en el extremo derecho de su distribución empírica. Además, contrasta y ratifica la FC adoptada contra varias de uso común en los AFB. Lo anterior, por medio de los errores de ajuste entre las probabilidades bivariadas empíricas y teóricas. La búsqueda de las distribuciones marginales se realizó con base en el diagrama de cocientes L para adoptar las tres mejores y confrontarlas con las funciones Kappa y Wakeby de gran versatilidad. Se realizó el AFB de las 55 crecientes anuales registradas en la estación hidrométrica La Cuña de la Región Hidrológica No. 12-3 (río Santiago), México. Se definen cuatro periodos de retorno conjuntos de diseño y se detalla el cálculo de sus curvas de tipo AND. Por último, se citan varias conclusiones que destacan las ventajas del uso de las FC en los AFB de crecientes.
Mezcal vinasses treatment: A review of assessed processes
Authors:   CIIDIR-Durango, Instituto Politécnico Nacional, Durango, México, Díaz-Barajas Sergio , Moreno-Andrade Iván ,   Institute of Engineering, Universidad Nacional Autónoma de México, Querétaro, México, Garzón-Zúñiga Marco A. ,   Instituto Politécnico Nacional, Durango, México
Published: March 2024

Mezcal is an alcoholic beverage made in Mexico. This industry produces mezcal vinasses, which are complex wastewater with a high concentration of organic matter (35 000 to 122 860 mg COD/l), low pH (3.60-3.94) and recalcitrant compounds such as phenols (478-1 460 mg gallic acid/l) and sulfates (308-947 mg/l), its disposal without treatment to the environment poses a danger to soil and water bodies. The present study seeks to present and discuss the current technological development in the treatment of mezcal vinasses and to identify the systems with the most significant potential for its application. The mezcal vinasses treatments with the best COD removal efficiencies are fungal and anaerobic (80 %). Ozonation has potential as a pretreatment, which can remove more than 80 % of phenols. Some hybrid systems can remove > 90 % COD. However, these treatments do not include the concept of "circular economy", so its implementation is seen as an expense that sometimes cannot be afforded by producers. One option includes the revalorization for generating an economic benefit to producers. Biorefinery treatment, in which various types of energy have been obtained, such as biohydrogen, methane, and bioelectricity by applying different bioprocesses sequentially, was identified as the treatment with the best potential.
Calibración de modelo de cloro mediante algoritmos genéticos en red de agua potable de Guanajuato
Authors:   Universidad de Guanajuato, Guanajuato, México, García-Cervantes Daniel Alberto , Pineda-Sandoval Joseph Daniel ,   Universidad de Guanajuato, Guanajuato, México, Hernández-Cervantes Daniel ,   Universidad de Guanajuato, Guanajuato, México, Delgado-Galván Xitlali ,   Departamento de Ingeniería Geomática e Hidráulica, Universidad de Guanajuato, México, Carreño-Aguilera Gilberto ,   Departamento de Ingeniería Geomática e Hidráulica, Universidad de Guanajuato, México, Mora-Rodríguez Jesús ,   Departamento de Ingeniería Geomática e Hidráulica, Universidad de Guanajuato, México
Published: March 2024

La concentración de cloro como desinfectante suministrado a la red de distribución de agua decae con el paso del tiempo debido a su interacción con microorganismos, metales y otras sustancias presentes en el agua. Los programas de computadora, como Epanet, se utilizan para simular el comportamiento hidráulico y la calidad del agua en las redes de distribución; con su ayuda se pueden representar modificaciones físicas y operativas en un modelo numérico para conocer el nuevo comportamiento sin comprometer la calidad del servicio. La calibración del modelo de cloro como desinfectante consiste en tomar como referencia la concentración en varios puntos de la red y ajustar los coeficientes de decaimiento en el modelo hasta lograr que las concentraciones simuladas coincidan con las medidas. En el presente artículo se muestra la automatización de este proceso haciendo uso de la técnica heurística algoritmos genéticos y la Toolkit de EPANET con MATLAB (2016). El proceso de calibración se realiza en un sector de la red de distribución de la ciudad de Guanajuato, obteniendo una correlación de 0.816 con un error promedio absoluto de 0.08 mg/l entre las concentraciones modeladas y medidas; y que como resultado permitirá conocer la concentración del cloro en diversos puntos de la red, asegurándose de brindar un servicio de calidad durante el abastecimiento.
Analysis of Pervious Concrete Properties for Mixtures of Different W/C Ratios
Authors: Hisatomi Júlia Nantes , Martins Filho Sergio Tunis , Cobo Daniel Tescaro
Published: March 2024

Objectives: The influences of the different constituent materials of pervious concrete were analyzed through their physical, mechanical and hydraulic properties, aiming to propose acceptable mixtures for application.
 
Theoretical Reference: The mixes were prepared with the aid of a dosage curve obtained from the literature. For hydraulic behavior, the Forchheimer’s equation was used.
 
Method: Five mixes were produced, with a uniform particle size range of 4.8 – 6.3 mm, varying their water/cement ratios. Density, porosity, ultrasound, permeameter and compressive strength tests were carried out for all mixes.
 
Results and conclusion: The hydraulic characterization (d/√k) was satisfactory using non-linear equations. The relationship between total porosity and other properties, such as, compressive strength, ultrasonic pulse velocity and density in the hardened state, remained inversely proportional. The mixtures developed presented characteristics within those expected for practical applications.
 
Research implications: Despite many studies, methodologies to produce and analyze pervious concrete have not yet been standardized, with Darcy's law being widely used to describe the flow. This research seeks to contribute to the development of these methodologies, in addition to proposing mixtures with acceptable properties for application and non-linear analysis.
 
Originality and value: Pervious concrete is considered a sustainable alternative for low-traffic paving and allows reducing surface runoff. The study also aims to raise awareness and propagate sustainable systems that can help with urban drainage, reducing the socio-environmental impact caused by floods.
Plant Fiber Reinforced Polymeric Composites for Engineering Applications: A Review
Authors: Ho Mirella Gibson de Castro , Nassif Bárbhara Duarte , E Silva Amir de Albuquerque Nunes Ribeiro , Bueno Carlos Octávio Rocha , Guedes Verenna Santos , Couto Carmen , Nunes Eduardo Henrique Martins , Almeida Marys Lene Braga
Published: March 2024

Purpose: Scientists are looking for unconventional materials to achieve sustainable goals and reduce the consumption of non-renewable resources. This review focuses on polymeric composite materials with improved properties and low cost, synthesized from plant fibres and their potential fields of application.
 
Theoretical Framework: Natural fibers, which are globally accessible, play a crucial role in improving thermal and mechanical properties when incorporated into polymers. With remarkable stiffness-density, strength and lightness, fibers stand out as promising, low-cost composite materials for applications in various areas of engineering. The plant diversity of the Amazon makes Brazil one of the largest global producers of natural fibers, providing an opportunity to develop new sustainable technologies.
 
Method/Design/approach: Systematic literature review addressing potential applications of polymeric materials with plant fibers, fiber extraction methods, influence of fiber surface treatments and composite processing, and mechanical properties of polymeric composites with fibers.
 
Results: Polymer composites reinforced with natural fibers are emerging as sustainable alternatives to synthetic materials, driven by their ecological nature, easy availability, low cost and biodegradability. A systematic review of the literature revealed that the mechanical properties of these composites are intrinsically linked to various factors, such as fibre orientation and length, which require careful optimization. In addition, it was observed that surface treatments, such as chemical acetylation and alkaline treatments, play a crucial role in improving the properties of plant fiber reinforced materials. These processes are responsible for removing impurities present in the cell walls of the fibers, such as lignins, waxes and hemicellulose, among others. Given Brazil's significant potential in the production of natural fibers, their application in industrial contexts is promising, offering an environmentally friendly solution for waste management. Thus, it is believed that, in the future, plant fibers will gain even more prominence, possibly effectively replacing the synthetic fibers widely used in the market.
 
Research implications: This work contributes to the development of innovative, low-cost, sustainable materials, capable of minimizing the consumption of non-renewable resources and with potential applicability.
 
Originality/value: The results are promising for the development of environmentally sustainable polymer composites with plant fibers, with wide applications in engineering.
The role of low-molecular-weight heparin on recurrent abortion: a review
Authors: Alrehaili Taraji , Alnajjar Mohamed , Alrehaili Mohammed , Alqurashi Abdulellah , Aldabbagh Muhammad
Published: March 2024

Recurrent abortion (RA) remains a significant challenge in gynecological practice. It is not only emotionally devastating for pregnant women but is also medically challenging. RA is the spontaneous loss in the first trimester of three or more consecutive pregnancies. The current review was aimed at investigating the role of low-molecular-weight heparin (LMWH) in RA. The online databases MEDLINE and Google Scholar were used to perform a literature search for publications published between 2015 and 2013, without any date or language restrictions. We used a combination of relevant search terms "role, low, molecular, weight, heparin, recurrent, and abortion." We independently identified publications and systematically screened titles, abstracts, and full texts of the collected publications. LMWH was found to be used to treat RA due to its anticoagulants and anti-inflammatory effect. Its use is associated with a substantial improvement in live birth rates in most studies reviewed, with a few inconclusive. There was no significant improvement in late pregnancy complications in women treated with LMWH in the control group. Women treated with LMWH experienced very few adverse medication responses, and those that did occur were often moderate and self-limiting, making LMWH therapy a safe option. To create a consensus recommendation on the treatment of RA, further research on the use of LMWH is required, ideally in the form of sizable multicenter randomized control trials.
The prevalence of burnout among medical students at Taif University, Saudi Arabia
Authors: Alzahrani Ali , Althobaiti Nawaf , Althobaiti Abdullah , Althobaiti Lujain , Alzhrani Lama , Althobaiti Ghaida , Alsufyani Naif
Published: March 2024

Background: Burnout is a significant concern among medical students worldwide, impacting individual well-being and educational outcomes. This study aims to assess the prevalence and associated factors of burnout among medical undergraduate students.
Methods: A cross-sectional study design was employed, utilizing online surveys primarily the Maslach Burnout Inventory. The study included 331 medical students. Data included demographic characteristics and university year, as well as burnout parameters [emotional exhaustion (EE), depersonalization, and personal achievement (PA)].
Results: The study revealed diverse demographic characteristics, with a majority of participants showing a 20-22 age range (47.7%) and a predominantly female gender representation (65.9%). Significant correlations were found between age and EE (r = 0.120, p = 0.029) and PA (r = 0.147, p = 0.007), suggesting an increase in EE with age but a positive impact on PA. Gender disparities were observed in EE, with females exhibiting a higher prevalence of moderate EE (42.7%) compared to males (39.8%, p = 0.045). University year correlated significantly with EE (r = 0.131, p = 0.017) and PA (r = 0.161, p = 0.003), indicating higher burnout levels and PA as students progressed through their academic journey.
Conclusion: This study provides valuable insights into the prevalence and correlates of burnout among medical students at Taif University. The identified associations with age, gender, and university year contribute to the understanding of burnout dynamics in this specific context. Tailored interventions, especially for first-year students and addressing gender disparities, are crucial for mitigating burnout and promoting the well-being of medical students in Saudi Arabia.
Biochemical Markers of Iron Status Among Iraqi Patients at Different Severity Levels of Celiac Disease
Authors: Hasan Hathama Razooki , Abudal Kadhum Zahraa I. , Ghadhban Jasim M.
Published: March 2024

In people with a hereditary predisposition, gluten consumption causes celiac disease, a multifactorial autoimmune condition. The ensuing small intestine inflammatory process develops specific antibodies and causes various gastrointestinal and extra-intestinal symptoms with varying degrees of severity. Evaluation of the blood iron profile at various histological celiac disease severity in Iraqi patients was the goal of the current study.  Seventy-five Iraqi patients with celiac disease, with a mean age of 18.68± 11.13 years, were the study's participants. These people tested positive for celiac antibodies and experienced gastrointestinal symptoms. Based on the disease histological severity, they were divided into two groups: marsh (III a, b, c) group and marsh (0, I) group. For comparison purposes, 46 people who appeared to be in good health and matched in age and gender to the patients utilized in the study were also included. The levels of iron, transferrin, hemoglobin, ferritin, total iron binding capacity, unsaturated iron binding capacity, and the percentage of transferrin that is saturated with iron were all measured. In comparison to the other patient groups under study, celiac patients (marsh III) group, and particularly those of group (marsh III c), showed a substantial drop (p<0.05) in iron, the percentage of transferrin saturating with iron, the levels of each ferritin and of hemoglobin. The total iron binding capacity and the unsaturated iron binding capacity showed a significant elevation (p<0.05) in (marsh III c) patients’ group, meanwhile non-significant differences (p> 0.05) were found in transferrin concentration. Moreover, significant differences (p< 0.05) were obtained in the iron profile between celiac patients who followed strict gluten free diet and those patients with gluten contained diet.
Study of Nuclear Structure and Elastic Electron Scattering Form Factors for Neutron Halo Nuclei (22N ,23O and 24F) Using Full Correlation Functions with Two Size Parameters
Authors: Hussein Abeer A. M. , Flaiyh Ghaith N.
Published: March 2024

The study of neutron-rich nuclei's form factors, root-mean-square radius (rms), and nuclear density distributions is the focus of this work for the nuclei (22N,23 O and 24F). With the use of a strong short-range effect and a strong tensor force, the nucleons distribution function of the two oscillating harmonic particles in a two-frequency shell model operates with two different parameters: the first (bcore), for the inner (core) orbits, and the second (bvalence) for the outer (halo) orbits. This work demonstrated the existence of neutron halo nuclei for the nuclei (22N, 23O and 24F) in the (2s1/2) shell. The computed density distribution of neutron, proton and matter for these nuclei displayed the long tail performance. Using the Borne approximation of the plane wave, the elastic form factor of the electron scattering from the alien nucleus was calculated, this form factor is independent of the neutrons that make up the halo, but rather it results from a difference in the proton density distribution of the last proton in the nuclei. Fortran 95 power station program was used to the neutron, proton and matter density, elastic electron scattering form factor, and rms radii. The calculated outcomes for these exotic nuclei were in good agreement with the experimental data.
P-Rational Submodules
Authors: Baher Maria Mohammed , Ahmed Muna Abbas
Published: March 2024

A submodule N is called rational in M if ( , E(M))=0, where E(M) is the an injective hull of M. Rational submodules have been studied and discussed by many authors such as H.H. Storrer, H. Khabazian, E. Ghashghaei, A. Hajikarimi, M.S. Abbas and M.S. Nayef. The main objective of this paper is to give a new class of submodules named P-rational submodules. This class is contained properly in the class of rational submodules. Several properties of this concept are introduced. The relationships between this class of submodules and some other related concepts are discussed such as essential and quasi-invertible submodules. Other characterizations of the P-rational submodule analogous to those which is known in the concept of the rational submodule are given.
Using Sensitivity Analysis in Linear Programming with Practical Physical Applications
Authors: Abbas Iraq T. , Ghayyib Manar Naji
Published: March 2024

Linear programming currently occupies a prominent position in various fields and has wide applications, as its importance lies in being a means of studying the behavior of a large number of systems as well. It is also the simplest and easiest type of model that can be created to address industrial, commercial, military and other dilemmas. Through which to obtain the optimal quantitative value. In this research, we deal with the post optimality solution, or what is known as sensitivity analysis using the principle of shadow prices. The scientific solution to any problem is not a complete solution once the optimal solution is reached. Any change in the values of the model constants or what is known as the inputs of the model will change the problem of linear programming and will affect the optimal solution. Therefore, we need a method that helps to stand on the impact of changing these constants on the optimal solution that has been reached. General concepts about the binary model and some related theories have also been addressed. By analyzing the sensitivity, we rely on real data for a company that transports crude oil and its derivatives. The mathematical model is formulated for it and the optimal solution is reached using the software. Ready-made sop WINQSB and then calculate the shadow price values for the binding constraints, in addition, linear programming under the fuzzy environment is reviewed, and a new method based on the prime numbers is used to solve the fuzzy parameters model.
Binary Classification of Diabetic Retinopathy Using CNN Architecture
Authors: Khudaier Ali Hassan , Radhi Abdulkareem Merhej
Published: March 2024

Diabetes mellitus (DM), a chronic, clinically heterogeneous condition, is becoming increasingly common all over the world. Insulin deficiency, resistance to insulin's actions on the body's surface, or both may lead to pancreatic beta-cell degeneration. Diabetes makes people more prone to its consequences, the most prevalent of which is diabetic retinopathy (DR). Deep learning algorithms surpass traditional classification models for illness diagnosis on photos of medical problems. Deep transfer learning models for medical DR detection were evaluated using the APTOS 2019 dataset. Deep transfer learning algorithms for medical diabetic retinopathy (DR) detection are being evaluated. MobileNet Convolutional Neural Networks (CNN) architecture is used to detect the DR in binary class classification tasks, which leverages pre-trained weights collected during the training process using the ImageNet database. Cohen Kappa, F1 score, recall, accuracy, and precision are some of the performance indicators used. According to the data, the given model is the most effective in terms of accuracy and training time for handling our challenges. Overall, MobileNet is a good pick. The following metrics were found to be accurate: 0.9455, precise: 0.94651, recall: 0.9455, F1 score:  0.94556, and Cohen Kappa score: 0.89083. This method might aid medical personnel in the early detection of diabetic retinopathy.
An Adaptive Parallel Pattern Based Design for Molecular Dynamic Simulation
Authors: Maltare Nilesh N. , Kamat Viral N.
Published: March 2024

In Parallel programming, a programmer needs to understand hardware environment, programming paradigm and primitives available in the programming language. Most of the time, parallel programmes are written for a specific architecture and cannot typically adapt to other architectures Particularly, programs written for shared memory architectures are unsuitable for distributed or hybrid architectures. This paper proposes Adaptive Design Pattern for Parallel Programming to improve adaptability, flexibility with achieving performance on different architectures.
Molecular Dynamics (MD) simulation is required to scale to various architectures from simple machine to cluster of workstations. In this study, MD Simulation experimented using both pure benchmark code and code based on adaptive design patterns. Redesigned MD Simulation with Adaptive Design Pattern claims parallel efficiency from 56% to 90% for different number of processing elements used. The solution demonstrates adaptability to different architectures and scalability to use with large number of atoms and long duration simulation.
Exploring the Literature of Data Analytics Services on Cloud Computing: A Comprehensive Summary
Authors: Abdul-Jabbar Safa S. , Farhan Alaa k.
Published: March 2024

Data generated from the internet and modern applications is extensive and rapidly expanding. So, all modern applications must successfully perform tasks using this massive data. Therefore, one of the significant factors for the success of any application is understanding and extracting meaningful information using digital analytics tools to positively impact the application's performance and deal with challenges that can be encountered. On the other hand, cloud computing is simply an environment comprising a collection of high-performance services from various vendors. These services can frequently access and process massive amounts of data faster than a traditional computer. One of these services is cloud analytics, which applies cloud-based analytic algorithms against data in a private or public cloud to get the desired outcome. This paper differentiates between several analytics methodologies to create highly consistent, logical, and information-rich summaries. This research has discussed and analyzed many studies related to this field. Therefore, the results of this paper can be utilized to determine the advantages of these methods, which will help future researchers in their research for a more organized and thorough analysis when dealing with such applications. In addition, this paper attempts to discover new directions and propose new guidelines in this evolving field.
Synthesis and Characterization of Nano-Composites of Polypropylene / Cr2O3 Nanoparticles Using Licorice Extract
Authors: Abdul-Zahra Mohammed Abdulwahid , Abbass Nada M.
Published: March 2024

In this work, biosynthesized nanoparticles (Cr2O3) NPs were extracted by licorice root and proven by AFM technique to have a particle diameter of 14.99 nm. These particles were superimposed on polypropylene, and nanocomposites were synthesizes and diagnosed using different techniques, such as FT-IR, SEM, EDS, XRD, TG, DTA, and DSC. To identify the shapes, sizes, and nature of the particles of nanocomposites synthesized in an environmentally friendly way using the mentioned techniques, inhibitory actions of microorganisms were studied using several types of bacteria and fungi. To identify the protective role of environmentally friendly nanoparticles, the antimicrobial activity of the synthesized nanoparticles was characterized by green methods. Antioxidant activity was calculated by DPPH, and acceptable results were obtained for scavenging free radicals.
Determination of the Physical Properties of the Protoplanetary Disk Around WW Cha Stars
Authors: Taha Anas S. , Ahmed Abdulla K. , Ali Arshed
Published: March 2024

The main goal of this work is to put a simple model of the spectral energy distribution of binary stars called WW Cha. This model is built up on the extracted data from various telescopes and archives for the target WW Cha stars and then analyzing them using a python environment. The result of the fitting proposes that there are two protoplanetary disks around the WW Cha star, with different physical properties for each disk, such as the size of the inner disk being 10 AU, while the size of the outer disk being 300 AU. The shape of the outer disk is a flaring disk not a flat disk according to the value of the power law for the surface density (1.5). The emission in the disk is caused by small amorphous olivine grains ranging in size from 0.1 to 3000 micrometers.
Monitoring the Expansion of Unplanned Urbanization and its Impact on Climate Change based on Google Earth Engine Service, a Case Study of Baghdad / Iraq
Authors: Waleed Noor , AL-Bakri Maythm
Published: March 2024

The earth's surface comprises different kinds of land cover, water resources, and soil, which create environmental factors for varied animals, plants, and humans. Knowing the significant effects of land cover is crucial for long-term development, climate change modeling, and preserving ecosystems. In this research, the Google Earth Engine platform and freely available Landsat imagery were used to investigate the impact of the expansion and degradation in urbanized areas, watersheds, and vegetative cover on the land surface temperature in Baghdad from 2004 to 2021. Land cover indices such as the Normalized Difference Vegetation Index, Normalized Difference Water Index, and Normalized Difference Built-up Index (NDVI, NDWI, and NDBI) were determined to examine the effects of land cover changes. In addition, the land surface temperature was calculated to assess urbanization expansion's impact on Baghdad's climate warming. The results showed a drastic decrease in vegetative cover and green land, on the other hand, a significant expansion in urbanized areas. Hence, from 2004 to 2021, the urbanized areas and open land rose by 37% and 3%, respectively, while the vegetative cover decreased by 41%. The maximum land surface temperature has risen 4° C, and the minimum land surface temperature has risen 2.5°C.
Tigecycline is the Most Effective against Multi-Drug Resistant Klebsiella pneumoniae Recovered from Burn Wound Infections in Two Hospitals in Al-Kut City, Iraq
Authors: Sadeq Zahraa Eisaa , Lafta Inam Jasim
Published: March 2024

Klebsiella pneumoniae is among the most frequent microorganisms isolated from infections of burn wounds. This cross-sectional study aimed to investigate the distribution of multi-drug resistant (MDR) K. pneumoniae in two burn hospitals and the antibiotic resistance profile in different burn regions of the same patient. It was performed in two hospitals (Al-Zahraa and Al-Karama) in Al-Kut, Iraq, between January and May 2022. Totally, 100 burn swabs were collected from 40 patients of both genders suffering from burn wound infections, with ages ranging between 3 and 50 years. Klebsiella pneumoniae were isolated and identified using conventional methods followed by VITEK®2 system and confirmed via polymerase chain reaction targeting the gapA gene. Then, the antimicrobial susceptibility pattern was studied by the VITEK®2 system. Of the 100 burn wound swabs, 20 isolates were K. pneumoniae. Fifty five percent (11 out of 20) of K. pneumoniae isolated in the current study were MDR and 35% of the isolates had the extended spectrum beta-lactamase (ESBL) which is the main antibiotic resistance mechanism. Furthermore, the bacteria isolated from different burned areas of the same patient showed variable pattern of antibiotic susceptibility. To conclude, K. pneumoniae contaminating the burn wards in the Iraqi hospitals are mostly MDR, against which tigecycline is the most effective antibiotic.
Analisis Statistika Ships Turnaround Time di Pelabuhan Tanjung Priok
Authors: Simanjuntak Ronald , Sihombing Derma Watty , Wiwoho Boedojo , Dwiyani Nurindah , Kismantoro Tri , Rosmayana Rosmayana
Published: March 2024

Analisis statistik Ships Turnaround Time di Pelabuhan Tanjung Priok. Pelabuhan Tanjung Priok Jakarta Utara merupakan pelabuhan terbesar dan tersibuk serta menjadi barometer perekonomian di Indonesia. Suatu layanan kapal diukur dari berapa lama waktu kapal berada di terminal dan di pelabuhan, Ship Turnaround time dihitung sejak kapal tiba sampai kapal bertolak meninggalkan pelabuhan. Hal ini merupakan salah satu indikator kunci kinerja atau Key Performance Indicator (KPI) Pelabuhan, yang merupakan sebagai pertimbangan utama stakeholder dalam mengoperasikan layanan kapal baik terjadwal maupun tidak terjadwal. Penundaan atau lamanya layanan di pelabuhan akan memengaruhi biaya operasional perusahaan dan proses di pelabuhan berikutnya. Penelitian ini adalah penelitian dengan metode kuantitatif dengan pendekatan statistik yang bertujuan sebagai bahan evaluasi terhadap turnaround time dan hasil inputan data inaportnet di Pelabuhan Tanjung Priok. Berdasarkan data Inaportnet terhadap jenis kapal selama tahun 2022, ditemukan permasalahan rata-rata ship turnaround time untuk perdagangan luar negeri lebih efisien dibandingkan dalam negeri. Ship turnaround time perdagangan luar negeri diperoleh kurang dari 3 hari, sedangkan untuk dalam negeri lebih dari 3 hari. Hasil analisis regresi linier terhadap jenis kapal yang diuji adalah hubungan linier negatif. Hal ini mengindikasikan adanya penurunan terhadap ship turnaround time kapal. Untuk menghindari terjadinya kesalahan, data dari LK3 perlu dilakukan validasi oleh pihak penanggung jawab agar pengisian data kedatangan dan keberangkatan kapal dapat dilakukan dengan benar.
Analisis Budaya Keselamatan Terhadap Tingkat Pelayanan Jasa Transportasi Penyeberangan Ferry Pelabuhan Bakauheni
Authors: Della Rhaptyalyani Herno , Permata Debby Yulinar , Syakurah Rizma Adlia , Agustien Melawati , Ramadhani Arya Pratama
Published: March 2024

Indonesia memiliki 17.504 pulau dengan garis pantai 81.000 Km. Maka dari itu Indonesia disebut sebagai negara maritim. Pada transportasi penyeberangan feri di Indonesia memiliki 294 rute yang antara lain 229 rute perintis dan 65 rute niaga. Namun, Indonesia menduduki peringkat ke 2 dari 43 negara terhadap peristiwa kecelakaan yang terjadi pada kapal feri di dunia. Penelitian ini memiliki kerangka penelitian yang menguraikan mengenai budaya keselamatan, terdapat lima variabel yang memengaruhi kinerja keselamatan yaitu praktik keselamatan, manajemen keselamatan, pengetahuan keselamatan, kesadaran pribadi terhadap praktik keselamatan, dan perilaku keselamatan. Dengan tujuan penelitian yaitu untuk mengetahui pengaruh dan kepentingan dari budaya keselamatan di penyeberangan feri akan tingkat kecelakaan dan keselamatan penyeberangan. Studi kasus dipilih adalah Pelabuhan Bakauheni. Pelabuhan ini merupakan pelabuhan dengan jumlah penumpang terbanyak di Pulau Sumatra dan merupakan pelabuhan yang menghubungkan antara dua pulau utama di Indonesia yaitu Pulau Jawa dan Pulau Sumatra. Analisis penelitian ini menggunakan metode Structural Equation Modelling (SEM) dan didapatkan hasil dari ke lima variabel tersebut bahwa pengaruh budaya keselamatan terhadap perilaku keselamatan yaitu kurangnya penyelenggaraan simulasi praktik keselamatan dan kesehatan kerja atau K3 dan zero accident yang ada pada angkutan penyeberangan feri di pelabuhan belum maksimal dikarenakan kurangnya manajemen keselamatan yang ada pada perusahaan terkait.
O futuro dos padecentes de transtornos mentais em conflito com a lei após a publicação da Resolução 487/23 pelo Conselho Nacional de Justiça
Authors: Silva Antônio Geraldo da , Telles Lisieux Elaine de Borba , Alexandre Milena Ferreira de França , Rigonatti Luiz Felipe , Teodoro Maria Dilma Alves , Dourado Junior José Brasileiro , Valença Alexandre Martins
Published: March 2024

O objetivo do presente artigo é discutir e realizar críticas em relação à Resolução 487 do Conselho Nacional de Justiça, que pretende extinguir os Hospitais de Custódia e Tratamento Psiquiátrico no Brasil. A resolução fere a Lei 10.216, quando não garante ao padecente de transtorno mental, ter acesso ao melhor tratamento do sistema de saúde, consentâneo às suas necessidades. Consequentemente traz prejuízo à sociedade, ao portador de transtorno mental e aos serviços de saúde, impondo risco aos mesmos.
A incidência de transtornos psiquiátricos em crianças e adolescentes vítimas de abuso sexual
Authors: Coelho Rachel Araújo Gonçalves , Distler Anne Catherine , Loss Bruna de Holanda , Soletti Carolina , Guerra Guilherme Abreu , Souza João Victor Gaia Aguiar de , Faria Maria Luiza Cronemberger de , Aldrighi Mateus Moreira , Silva Paula Teixeira , Pires Juliana Faleiro
Published: March 2024

Objetivo: Analisar a incidência de transtornos psiquiátricos em crianças e adolescentes vítimas de abuso sexual. Revisão bibliográfica: O abuso sexual infantil é um grande problema de saúde pública e afeta milhões de jovens no mundo inteiro. De acordo com o artigo 217-A do código penal brasileiro, a prática de estupro vulnerável é caracterizada por qualquer ato libidinoso contra menores de 14 anos. Crianças em idade pré-escolar e adolescentes encontram-se em situação mais vulnerável e envolvendo mais comumente contato físico não consensual e penetração. Resultados: Nota-se que as crianças e adolescentes vítimas de abuso sexual possuem maior risco de adquirir infecções sexualmente transmissíveis e maior risco de gravidez precoce. Além disso, a prevalência de transtornos do estresse pós-traumático (TEPT), borderline, transtornos psicóticos, insônia e comportamento depressivo e suicida são as doenças psiquiátricas mais comuns, além de consequências no desenvolvimento emocional. Considerações finais: O atendimento integral à vítima com equipe multidisciplinar com um bom suporte psicossocial e intervenção farmacológica é essencial para amparar as vítimas e tentar amenizar os danos na vida do paciente.