bluuebunny/crossref_metadata_2025 huggingface dataset:
Stable Quantum Dot Light-Emitting Diodes Employing TiO2 Nanoparticles as a Mixed Emission Layer
Authors: Yoon Changgi , Kim Jiwan
Published: January 2023

Colloidal quantum dots (QDs) have attractive optical and electrical characteristics for various applications in the display industry. They have superb properties including color tunability, which is achieved by controlling the particle size and solution processes used for quantum dot light-emitting diodes (QLEDs). Here we demonstrate high efficiency QLEDs that consist of a mixed layer of TiO2 nanoparticles (NPs) and QDs. ZnO is the key material responsible for the promising results of the electroluminescence devices, which exhibited well-matched energy levels and robustness. In this report, Li-doped TiO2 NPs were synthesized under ambient conditions as an alternative electron transport layer (ETL) for QLEDs. A stable mixture of TiO2 NPs and QDs was prepared in chlorobenzene and then applied to QLEDs without a conventional ETL. QLEDs with such a simplified structure produce a maximum luminance of 123,311 cd/m2 with a current efficiency of 40.5 cd/A. These results are comparable to those of conventional QLEDs. Additionally, the predicted T50 at 100 cd/m2 was 1,420 h, based on the T50 at 1,600 cd/m2. These clearly indicate not only the promising results of the TiO2 NPs as an inorganic ETL, but also the remarkable performance of the simplified device with less layers. The reduction in fabrication steps using this solution-based process is also advantageous for next-generation display technology.
Enhanced Thermoelectric Performance of Sn-Doped Permingeatites Cu3Sb1-ySnySe4
Authors: Pi Ji-Hee , Lee Go-Eun , Kim Il-Ho
Published: January 2023

In this study, Cu3Sb1-ySnySe4 (0 ≤ y ≤ 0.08) permingeatites were synthesized via mechanical alloying followed by hot pressing. The phase transformation, microstructure, charge transport parameters of the permingeatites, and their thermoelectric properties were analyzed. The permingeatites were present in a single phase with a tetragonal structure, and secondary phases were not detected. The permingeatites had relative densities of 97.2%–98.5%. The lattice constants of the a- and c-axis increased when Sn was substituted at the Sb sites. With increasing Sn content, the carrier concentration increased to (2.2–4.1) × 1019 cm-3; however, mobility did not change significantly, at 58–66 cm2V-1s-1. The undoped Cu3SbSe4 behaved as a non-degenerate semiconductor. Its Lorenz number was calculated to be (1.57–1.56) × 10-8V2K-2 at 323–623 K, and a maximum dimensionless figure of merit (ZT) of 0.39 was obtained at the temperature of 623 K, power factor of 0.49 mWm-1K-2, and thermal conductivity of 0.76 Wm-1K-1. However, the Sn-doped specimens behaved as degenerate semiconductors. Their Lorenz numbers increased to (1.63–1.94) × 10-8V2K-2 at 323–623 K. Cu3Sb0.96Sn0.04Se4 exhibited a remarkably enhanced ZT of 0.71 at a temperature of 623 K, power factor of 1.18 mWm-1K-2, and thermal conductivity of 1.01 Wm-1K-1.
Predicting Grain Structure in Continuously-Cast Stainless Steel Slab
Authors: Kim Hee-Soo , Kim Ji-Joon
Published: January 2023

Macrostructural features in continuously-cast stainless steel slabs such as the distribution of equiaxed and columnar grains, and microporosity, are crucial to the post-processes, and the mechanical properties of the final steel products. Among the methods for controlling grain structure during the continuous casting process, the application of electromagnetic stirring (EMS) during casting is known to alter the grain structure of the slab. In this study, we predicted macrostructural features in a continuous-cast stainless steel slab using computer simulation. We approximated the heat transfer system as a one-dimensional heat conduction model with solidification. The effect of EMS was investigated by introducing an effective thermal conductivity of the melt. We assumed that EMS caused turbulent flow, and enhanced the thermal conductivity. Columnar-to-equiaxed transition (CET) and microporosity were estimated with the models proposed by Hunt and Niyama, respectively. The effect of EMS on microporosity was negligible, and microporosity was inevitable in the centerline of the slab. EMS made a second equiaxed region between the outer wall and the center of the slab. Because the effective thermal conductivity was high due to EMS, the temperature field in the slab was distorted, and the Hunt criterion for CET was satisfied in the region. The CET results were compared and verified with cellular automata simulation. Various process parameters including casting speed, superheating, and the position of the EMS module, were examined to predict the macrostructure of the slab.
Effect of Fe-Cr-B on the Microstructure and Mechanical Properties of a Powder Injection Molding Processed Fe-Cr-B/316L Stainless Steel Matrix Composite
Authors: Kim Young-Kyun , Joo Yeun-Ah , Yoon Tae-Shik , Lee Kee-Ahn
Published: January 2023

Stainless steel-based composites (SMCs) mixed with 316L stainless steel powder and Fe-Cr-B based M alloys powder ed M) powder were manufactured using the powder injection molding (PIM) process, and their microstructure and mechanical properties were investigated. To examine the effect of M content on the properties of SMCs, the M fraction was controlled to 30 vol.%, 50 vol.%, and 70 vol.%. It was observed that PIM-processed Fe-Cr-B/316L SMCs (30 vol.%, 50 vol.%, 70 vol.%) had γ-austenite and minor α-ferrite as a matrix, and (Cr, Fe)2B was formed as a reinforced phase. In tensile tests at room temperature, the yield strengths of the 30 vol.%, 50 vol.%, 70 vol.% M SMCs were measured to be 519.9 MPa, 574.1 MPa, and 604.8 MPa (peak stress), respectively. From the fracture surface observation results, it was found that the deformation behavior changed from the intergranular fracture of boride to intergranular fracture between the matrix and boride, as the M fraction increased. Based on the above results, the deformation and fracture mechanisms of novel Fe-Cr-B/316L SMCs are also discussed.
Fostering students’ motivation to learn mathematics through steam project using 4DFrame Toolkit
Authors: Ratnaningsih Tri
Published: January 2023

One of the impacts of pandemic in education is the learning process that must turn into online learning. Some students are not ready to accept this change, thus reducing their motivation to learn mathematics. Teachers must find new ways to increase learning motivation. One of them uses the STEAM approach. Therefore, this study aims to determine whether a STEAM project using 4Dframe can increase students' motivation to learn mathematics. In this study, students learn about triangles and quadrilaterals by making balls from straws and designing “Taxi Ijen” using 4Dframes. This research is classroom action research with two cycles. The research participants were 15 seventh grade students of SMPN 3 Arjasa. The instruments used are questionnaires and observation sheets. Data analysis used text analysis and descriptive statistics. The results of the observation sheet showed an increase in student activity by 28.8%. However, the indicators of student activity such as asking, answering questions, and arguing still have a value below 75%. While the results of the motivation questionnaire showed that students' learning motivation had increased, indicated by 0% students having low motivation, 6.67% having moderate motivation, 67.67% having high motivation, and 26.67% having very high motivation. These results indicate that the STEAM project using 4Dframe can increase students' motivation to learn mathematics in class VII SMPN 3 Arjasa.
Snowball throwing based on lesson study to improve college student's algebraic reasoning in solving problems generating functions
Authors: Indraswari Nur Fitriyah
Published: January 2023

This study aims to describe the improvement of students' algebraic reasoning in solving generating function problems based on implementing the lesson study-based snowball throwing learning model. The subjects in this study were students of the odd semester STKIP PGRI Sumenep mathematics education study program who had passed courses in mathematical logic and number theory. This research is a type of classroom action research with a qualitative approach. Lesson study and CAR have many similarities in terms of the stages, namely planning (plan), implementation & observation (do), and reflection (see). The instruments in this study were problem-solving task sheets and lesson study observation sheets. Data were analyzed using quantitative descriptive analysis by describing the percentage of quantitative data obtained. On the indicator looking for patterns, there was an increase of 50%, on the indicator finding patterns there was an increase of 43.75%, while on the generalization indicator there was an increase of 45%. This shows that implementing the lesson study-based snowball throwing learning model can improve students' algebraic reasoning in solving generating function problems.
Powerpoint-based educational games on flat face three dimensional objects combined volume learning
Authors: Julianti Nurma Haya , Hariastuti Rachmania Mirza , Yusuf Feby Indriana
Published: January 2023

Students are weak in visualization skills, so it is difficult to interpret geometric shapes. Therefore, learning media is needed that can help students learn flat side shapes, one of which is by using PowerPoint as an educational game. This research aims to describe the quality of PowerPoint-based educational games on the combined volume of flat side shapes in the eighth grade of junior high school. The development is carried out using the ADDIE model. The research subjects were 60 grade eight students of SMPIT Al-Uswah Banyuwangi. Data collection was carried out using interviews, observation, questionnaires, tests, and documentation. Data analysis with combined methods (quantitative and qualitative). The results showed that educational games were valid with an average score of 4.39, practical with an average score of 4.67 and the student responses were in a fairly good category with an average value of 3.94 and were not effective according to the analysis of test results which shows . So that the quality of the results of the development of PowerPoint-based educational games on the combined volume material for flat side shapes is not good and needs to be improved. Improvements can be made, especially in terms of sound so that it can be heard more clearly.
The ability of high school mathematics teachers in designing daily exam questions
Authors: Alawiyah Tuti , Roza Yenita , Maimunah Maimunah
Published: January 2023

Daily exam completion is one of the pedagogical skills that a teacher must possess. In actuality, not all teachers prepare exam questions based on the IPK and KD; hence, the questions frequently do not support the attainment of learning objectives. This study aimed to describe the ability of high school mathematics teachers to create daily exam questions. This research employed a qualitative descriptive study. The subjects of the research were five high schools and mathematics teachers. Data was collected using documentation techniques by analyzing the lesson plans, question grids, and daily exam questions created by five teachers. The data was analyzed by comparing the suitability of the daily exam question indicators to the IPK contained in the lesson plans. Lesson plans and questions for KD 3.1 and 4.1 for spatial geometry and lesson plan for KD 3.2 and 4.2 for statistics were analyzed. The teacher has formed a grid and daily exam questions that refer to the IPK to administer the daily exam; however, not all indicators of the daily exam questions adhere to the predetermined IPK. The average percentage of questions suitable for the IPK of the five subjects at KD 3.1 and KD 4.1 was 86.8%, with a highly appropriate category. The average percentage of the suitability of the questions to the IPK of the five subjects at KD 3.2 and KD 4.2 was 88.6%, with a highly appropriate category.
Ability to solve mathematics questions with cooperative integrated reading and composition learning model
Authors: Nirfayanti Nirfayanti , Ernawati Ernawati , Lismayanti Lismayanti
Published: January 2023

This study aims to determine the ability to solve math story problems for class VIII students of SMPN 23 Simbang by using the Cooperative Reading Comprehension and Composition (CIRC) cooperative learning model. This type of research is an experiment using a quantitative approach. The design in this study uses True Experimental Design in the Posttest-Only Control Design category. The sampling technique used is simple random sampling. In this study the sample chosen was class VIIIA as the experimental class (using the CIRC cooperative learning model) and class VIIIB as the control class (using conventional learning models in learning). The data collection used includes observation sheets and tests of student learning outcomes that have been validated by experts. The data in this study used prerequisite analysis and hypothesis testing, namely the independent t-test. Based on the analysis of hypothesis testing, it shows that the ability to solve math story problems for class VIII students of SMPN 23 Simbang by using the Cooperative Reading Comprehension and Composition (CIRC) cooperative learning model is better than the conventional learning model.
Colonialismo portugués y neoextractivismo en Brasil: una analogía de continuidad colonial
Authors: Buznego Jiménez María Victoria
Published: January 2023

Este artículo analiza cómo el modelo colonial-capitalista portugués se ha perpetuado a través del neoextractivismo en Brasil, explorando las prácticas neoextractivistas dentro de la lógica de la colonialidad. La propuesta teórica va desde la conexión con el territorio y la visión del mundo a partir de epistemologías indígenas, descoloniales y feministas, atendiendo particularmente al binomio cuerpo-territorio, con la finalidad de generar un intercambio epistemológico eco-sostenible, descolonial y feminista, en diálogo con las poblaciones indígenas y afrodescendientes, para imaginar un futuro próximo menos distópico a través del cual resistir y coexistir en cuerpo-territorio.
La geopolítica práctica del Estado Novo portugués en el contexto de la guerra colonial (1955-1974)
Authors: García de las Heras Mariano , Ríos Sierra Jerónimo
Published: January 2023

El siguiente trabajo tiene como objetivo analizar, desde la geopolítica crítica, y en concreto, desde las posibilidades que ofrece la geopolítica práctica, la esencia del discurso de las autoridades estatales portuguesas en relación con su condición de potencia colonial; especialmente, una vez que inicia el proceso descolonizador, a partir de comienzos de la década de los sesenta. Concretamente, el período abordado por este trabajo transcurre desde 1955, año en el que se produce su adhesión en Naciones Unidas, y hasta el fin de la dictadura, producido en 1974. A tal efecto, se recurre, como fuente primaria, a las sesiones parlamentarias celebradas en la Asamblea Nacional portuguesa y las intervenciones públicas del jefe de Estado, António de Oliveira Salazar. De este modo, se da cuenta de cómo evoluciona el fundamento de la política exterior del país, en un momento especialmente convulso de su historia, en donde el binomio legitimación/amenaza ostenta una posición nuclear en términos discursivos.
Synthesis of Gold Nanoparticles Using Centella Asiatica Extract and its In Vitro Cytotoxic Activity Against Human Breast Adenocarcinoma MCF-7 and Normal Vero Cell Line
Authors: Uvarajan Sampath , Prabhu Durai
Published: January 2023

In the past few decades, the gold nanoparticles (AuNPs) have attained much attention among all metal nanoparticles and it is greatly contributed for cancer photo-diagnostics, photo-thermal therapy, bio-labelling, drug delivery etc. In the present investigation, AuNPs were green synthesized using Centella asiatica leaf aqueous extract. The physicochemical properties of synthesized AuNPs were characterized using UV–visible and Transmission Electron Microscopy (TEM) analysis. Further, in vitro anticancer efficacy of biosynthesized AuNPs were assessed against human breast adenocarcinoma (MCF-7) and normal African green monkey kidney Vero cell line. Bio approach synthesized gold nanoparticles were highly stable, monodisperse particles in the size ranging
Impact of COVID-19 Coronavirus Pandemic: A Review
Authors: Margandan Karunanithi , Santhanalakshmi K.  , Sonia Jas M. Jebastin , Rachna Agarwal
Published: January 2023

These are the worst circumstances because of the severe respiratory tract infections that the human coronavirus Covid-19 causes in people. Human coronaviruses can spread from person to person over a period of 2 to 14 days during their incubation period, which makes contaminated hands, droplets, and surfaces of items more likely to get infected. It is a newly emerging infectious disease that spreads quickly. Common symptoms include a fever, cough, sore throat, trouble breathing, lethargy, and malaise. For the most part, the sickness is benign, but some people usually the elderly are severely affected. Acute respiratory distress syndrome, pneumonia, and multiple organ dysfunctions are possible outcomes. This new epidemic's effects are still unclear.
Penanaman Moral dan Karakter Anak Usia Dini dari Nilai-Nilai Pancasila dengan Metode Nyata Belajar di Ranah PAUD
Authors: Puspita Dewi Leni , Rachman Budi
Published: January 2023

The Indonesian nation has several rules in its government, regulations or national identity are contained in Pancasila. In Pancasila there are five precepts or five basics that contain national values. These values ??must be applied from early childhood. Moral values ??and character values ??in children can be formed from Pancasila values. The moral of early childhood is the conscience possessed by children to behave in accordance with the rules in society. Moral development is marked by the understanding and awareness of the individual to act in accordance with the rules that are required to be applied since the child reaches an early age. The character of the child is a description of the child's behavior that can be judged from the norms of the community environment. This study aims to analyze children's learning to improve the morality and character of children for the Indonesian nation in the future. Through a literature study research method approach, there are findings that children's moral and character cultivation of Pancasila values ??from this research can use various methods and media. Methods and media that can be used to teach children include playing methods, storytelling methods, demonstration methods, and many other methods.
PENGGUNAAN MEDIA SOSIAL PADA REMAJA SOCIAL NETWORKING ADDICTION DI DESA LELEKA KECAMATAN WOLASI KABUPATEN KONAWE SELATAN
Authors: Tawai Adrian , Alputra Faturachman , Herman Halika La Ode , Susilawaty Fera Tri , Reski Reski , Marsela Marsela
Published: January 2023

The purpose of this writing is to identify and provide an understanding of the Use of Social Media In Adolescent Social Networking Addiction In Leleka Village, Kec. Wolasi District, South Konawe. The method is through training, workshops, mentoring and evaluation as a concrete form of community service activities. The results of Community Service in Leleka Village, Wolasi District, South Konawe Regency are that adolescents can reduce the level of social networking addiction by removing social media installed on smartphones if using social media via a computer, turning off notifications while working, studying, or doing other important things, providing regular schedule for accessing social media, looking for fun or other activities outside of social media, leaving all gadgets in a separate room when hanging out with family, and visiting relatives and family in person to make relationships warm.
Determination of Quantity Fertilizer for Sugarcane Based on Wireless Sensor Network
Authors: Abdillah Adinda , Zakaria Muhammad Nanak , Waluyo Waluyo
Published: January 2023

Fertilization plays a very large role in crop yields if done in the right way, effective and efficient fertilization will be achieved if the soil fertility conditions are known in advance. However, the problem is that farmer fertilization is still carried out by means of estimates based on land area without estimating the factor of soil needs.In this study the system uses a Wireless Sensor Network where there are 2 nodes installed on the land to monitor the measurement of soil moisture, soil pH, and nutrients using soil moisture sensors, soil pH sensors, and NPK sensors. From these sensors, it will be integrated through the Arduino Uno microcontroller which will later be connected to the LoRa system to send measurement information data on the land to the raspberry pi.The communication system between nodes is designed with a peer to per topology. The results of this study are the use of appropriate fertilizers and then can restore soil conditions to ideal soil conditions. From the experimental results, it is found that the peer to peer communication system can work well.
Design and Implementation of 2×4 Truncated Corner Patch Microstrip Array Antenna with U-Slot at 2.4 GHz Frequency for Wi-Fi Applications
Authors: Koesmarijanto Koesmarijanto , Azizah Ainun , Darmono Hendro
Published: January 2023

Antennas are an important component in wireless communication systems that continue to grow in the use of the 2.4 GHz frequency for 4G/LTE applications. Technology in the field of telecommunications has developed very rapidly using wireless communication, which is easily accessible by various devices, for example, Wi-Fi or Wireless Fidelity. Microstrip antenna is one type of antenna that has a narrow bandwidth, small gain. This research aims to widen the bandwidth by designing and manufacturing a truncated corner microstrip patch antenna with a 2x4 array at a frequency of 2.4 GHz with a U-slot. The truncated corner method is used to obtain circular polarization. The truncated corner microstrip antenna is designed by cutting corners. The array method is used to obtain the maximum gain value, while the addition of U-slot aims to reduce the return loss and Voltage Standing Wave Ratio (VSWR) values.
Navigation and Guidance for Autonomous Quadcopter Drones Using Deep Learning on Indoor Corridors
Authors: Yulianto Ahmad Wilda , Yuniar Dhandi Yudhit , Prasetyo Yoyok Heru
Published: January 2023

Autonomous drones require accurate navigation and localization algorithms to carry out their duties. Outdoors drones can utilize GPS for navigation and localization systems. However, GPS is often unreliable or not available at all indoors. Therefore, in this research, an autonomous indoor drone navigation model was created using a deep learning algorithm, to assist drone navigation automatically, especially in indoor corridor areas. In this research, only the Caddx Ratel 2 FPV camera mounted on the drone was used as an input for the deep learning model to navigate the drone forward without a collision with the wall in the corridor. This research produces two deep learning models, namely, a rotational model to overcome a drone's orientation deviations with a loss of 0.0010 and a mean squared error of 0.0009, and a translation model to overcome a drone's translation deviation with a loss of 0.0140 and a mean squared error of 0.011. The implementation of the two models on autonomous drones reaches an NCR value of 0.2. The conclusion from the results obtained in this research is that the difference in resolution and FOV value in the actual image captured by the FPV camera on the drone with the image used for training the deep learning model results in a discrepancy in the output value during the implementation of the deep learning model on autonomous drones and produces low NCR implementation values.
Prediction of signal attenuation value caused by weather changes on cellular communication networks using backpropagation algorithm
Authors: Hudiono Hudiono , Yllonia Aurel , Rakhmania Amalia Eka
Published: January 2023

The value of signal attenuation by the resulting weather changes may differ at any time. The collection of signal power data with different times, weather, humidity, rainfall, and temperatures using the drive test method in Malang area will be processed using machine learning methods and backpropagation algorithms. The process is carried out using Matlab software. In this study, data collection is carried out on four BTS ranges. In addition to these data, it is also necessary to calculate the value of signal attenuation by weather changes in order to find out whether the weather category is good or bad for telecommunications activities. When the weather is sunny and cloudy it has an RSSI range value of -85 dBm to -75 dBm, while in cloudy and rainy weather it has an RSSI range of -104,2 dBm to -87 dBm. Data from the results of the drive test measurements obtained the signal attenuation value by the largest weather change of 40.49718 dB and the largest rainfall of 681.8 mm / hour. Based on the test data, the signal attenuation value when the weather is sunny and cloudy is worth 0.096164 dB to 8.61604 dB, and in cloudy and rainy weather it has a greater attenuation value, from 12.3466 dB to 21.0098 dB. Using the backpropagation algorithm, the accuracy rate in this prediction reaches 99.7 %.
Gambaran Pengetahuan Masyarakat Tentang Vaksinasi Covid-19
Authors: Barus Mardiati , Simbolon Pomarida , Uli Panjaitan Ertika Sari
Published: January 2023

Covid-19 is an infectious disease designated as a global health problem which as subsequently designated as a pandemic by the World Health Organization. Starting in 2021, Covid-19 vaccinations have begun to be carried out in various countries, including Indonesia. Lack of public knowledge causes one of the factors that the implementation of vaccination is not optimal. One of the people's refusal is not to get vaccinated because people do not know the purpose of the vaccination. The purpose of this study is to identify the level of public knowledge about Covid-19 vaccination at Lumban Pinasa Village, Habinsaran District. The population in the study amount to 400 people, the sampling technique used the Slovin formula obtained as many as 80 people. This research use descriptive research method with the sampling technique is random sampling. The level of public knowledge about Covid-19 vaccination has good knowledge of 73 respondents (91.3%), and sufficient knowledge of 7 people (8.8%). It is hoped that the public will maintain knowledge about Covid-19 vaccination and continue to seek information related to Covid-19 vaccination.
Faktor-Faktor Yang Berhubungan Dengan Keikutsertaan Ibu Hamil Dalam Program Vaksinasi COVID-19
Authors: Karnita Noviani , Shinta Novelia , Rukmaini Rukmaini
Published: January 2023

Ibu hamil berisiko tinggi terinfeksi COVID-19 yang akan meningkatkan risiko terjadinya kematian pada ibu dan bayi. Saat ini data mengenai keikutsertaan ibu hamil dalam program vaksinasi COVID-19 masih jauh dari sasaran, dikarenakan banyaknya faktor yang mempengarihi seperti usia, pendidikan, pengetahuan, dukungan keluarga, dan budaya masyarakat. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berhubungan dengan keikutsertaan ibu hamil dalam program vaksinasi COVID-19 di Wilayah Kabupaten Belitung Timur. Jenis penelitian yang digunakan adalah penelitian kuantitatif dengan pendekatan Cross Sectional. Besaran sampel dalam penelitian ini adalah 100 responden ibu hamil di wilayah Kabupaten Belitung Timur. Variabel yang diamati adalah variabel independent (usia, pendidikan, pengetahuan, dukungan keluarga, dan budaya masayarakat) yang akan dihubungkan dengan variabel dependen (keikutsertaan vaksinasi COVID-19) dengan uji chi-square. Hasil penelitian ini membuktikan bahwa ada hubungan yang bermakna antara usia (p-value = 0,000), pendidikan (p-value = 0,000), pengetahuan (p-value = 0,000), dukungan keluarga (p-value = 0,000), dan budaya masyarakat (p-value = 0,000) dengan keikutsertaan ibu hamil dalam program vaksinasi COVID-19 di Wilayah Kabupaten Belitung Timur.
Pengaruh Pendidikan Kesehatan Terhadap Pengetahuan Dan Sikap Remaja Tentang HIV-AIDS
Authors: Rahman Arif , Jannah Nurul , Tullah Aya
Published: January 2023

HIV (Human Immunodeviciency Virus) menjadi masalah utama kesehatan dunia yang telah menelan korban meninggal 40,1 nyawa sejauh ini. Kementerian Kesehatan Indonesia mencatat kasus HIV pada tahun 2021 sebanyak 36.902 kasus, mayoritas penderita merupakan usia produktif. Pendidikan kesehatan berperan penting sebagai pencegahan HIV secara dini. Tujuan penelitian ini untuk menganalisis pengaruh promosi kesehatan terhadap pengtahuan serta sikap remaja tentang HIV-AIDS. Desain penelitian ini adalah Pra-Eksperimen menggunakan desain One-Group Pra-Test-Post-Test. Sampel penelitian sebanyak 73 siswa. Hasil penelitian tingkat pengethuan menujukkan responden yang memeiliki tingkat pengetahuan tinggi Pre-Test sebesar 41,1% dan hasil Post-Test mengalami kenaikan sebesar 61,6%, sedangkan responden yang memiliki tingkat pengetahuan rendah Pre-Test sebesar 58,9% dan hasil Post-Test mengalami penurunan menjadi 38,4%. Pada responden yang memliki sikap positif Pre-Test sebesar 52,1% dan hasil Post-Test mengalami kenaikan 71,2%. Dan responden yang memiliki sikap rendah  Pre-Test sebesar 47,9% dan hasil Post-Test mengalami penurunan menjadi 28,8%. Berdasarkan uji Paired T-Test Tingkat pengetahuan dan sikap remaja terhadap HIV-AIDS sebelum dan sesudah promosi kesehatan didapatkan masing-masing nilai Asympotic Significan Two Tails Atau Nilai P Value Sebesar 0,000 < 0,05. Penelitian ini menunjukkan bahwa terdapat pengaruh pengetahuan dan sikap remaja tentang HIV-AIDS sebelum dan setelah dilakukan promosi kesehatan. Diharapkan pendidikan kesehatan di sekolah-sekolah dapat melaksanakan secara rutin untuk meningkatkan  pengetahuan dan sikap siswa dalam  pencegahan HIV-AIDS.
Сельские и городские практики ношения женского головного покрывала в Магрибе RURAL AND URBAN PRACTICES OF WEARING A FEMALE HEAD COVERING IN THE MAGHREB
Authors: Abroskina E. V.
Published: January 2023

Статья посвящена женским практикам покрывания головы в странах Магриба (Тунисе, Алжире, Марокко). Головные покрывала являются неотъемлемой частью женского костюма в Северной Африке. В зависимости от региона и населенного пункта варьируют их название, материал изготовления, а также цвет, дизайн и способ производства, что в свою очередь делает этот предмет своеобразной визитной карточкой его обладательницы. Автор анализирует две сложившиеся к концу XIX в. вестиментарные традиции — городскую (арабскую) и сельскую (берберскую). Используя в своем костюме схожий по форме предмет, женщины из города и из сельской местности наделяют его разными символическими значениями. В XX в. в условиях процессов модернизации и деколонизации сельские и городские покрывала стали означаемыми для разных контекстов: так, городские покрывала пользовались большим престижем, нежели сельские, что в свою очередь повлияло на то, что именно они стали восприниматься как национальные символы новых североафриканских государств, а сельские покрывала сохранились на уровне персональных повседневных практик в той местности, в которой они изначально использовались. Автор ставит задачей прояснить причину формирования столь различных жизненных траекторий одного типа предметов. The article is devoted to women’s head covering practices in the Maghreb countries (Tunisia, Algeria, Morocco). Head coverings are an essential part of women’s costume in North Africa. Their name, material of manufacture, color, design and method of production vary depending on the region and locality, which in turn makes this item a kind of visiting card of its owner. The author analyzes two vestimentary traditions that had developed by the end of the 19th century — urban (Arab) and rural (Berber). Despite the similar shape of veils used by women in the city and in the village, these were endowed with different symbolic meanings. In the 20th century, under the conditions of modernization and decolonization, rural and urban veils became meaningful in different contexts: for example, urban veils enjoyed greater prestige than rural ones, which resulted in them being perceived as national symbols of the new North African states, and rural veils’ use continued at the level of personal daily practices in the regions where they were originally used. The author aims to clarify the reason for such different life trajectories of the objects of one type.
Studying Multi-Stage Diffusion Dynamics using Epidemic Modeling Framework
Authors: Kumar Hitesh , Singh Ompal , Anand Adarsh , Irshad Mohammed Shahid
Published: January 2023

Buying process has always carried a two-fold perspective with itself. On one hand, it is important for individuals and on other hand it is equally important for the firms to deliver the perfect need and want to the customer. Amongst this entire process, awareness along with positive motivation towards the product; plays an equally significant role in strategizing the plans for any company. Plenty of models have been proposed and many would be in the pipeline that have talked about the connectivity of these processes and their impact on the final adoption. In the current work, these processes have been studied through the analogy taken from epidemic modelling framework. Furthermore, an approximation method; Range Kutta of 4th order has been utilized to come to a near approximate solution to the otherwise available non-closed form solution. The proposed modelling framework is validated on real-life data sets and the results depict the existence and presence of various stages under consideration.
Simulation of Supply Chain Performance in the Period of Implicit Uncertainty using Cellular Automata
Authors: Suryawanshi Ravi , Deore R. P.
Published: January 2023

Managing a distribution planning problem in an integrated supply chain environment is daunting. These challenges are aggravated when there are multiple stakeholders involved. The proposed simulation model provides an environment to gauge the existing adversities in the distribution plan of a two-stage supply chain (SC) network. In addition to the underlined issues, the model captures the influence of decisions from neighboring firms in a periodical decision-making plan. A cellular automaton (CA) based approach is implemented to present the complete analysis and impact of endogenous and exogenous situations affecting the decision-making. The decision environment involves two states of selecting an efficient supply chain strategy (ESC) and responsive supply chain strategy (RSC) based on the implicit uncertainty and performance of Moore-based neighboring cells. The study contributes to the scant literature on the application of CA-based evolutionary decisions in the SC context. The simulation model characterizes the neighboring firm's influences in strategic decision-making and the implicit uncertainty in supply and demand. The modeling framework is tested with a significantly larger set, and the results are graphically presented to provide further clarity.
Optimizing Automated Trading Systems with Deep Reinforcement Learning
Authors: Tran Minh , Pham-Hi Duc , Bui Marc
Published: January 2023

In this paper, we propose a novel approach to optimize parameters for strategies in automated trading systems. Based on the framework of Reinforcement learning, our work includes the development of a learning environment, state representation, reward function, and learning algorithm for the cryptocurrency market. Considering two simple objective functions, cumulative return and Sharpe ratio, the results showed that Deep Reinforcement Learning approach with Double Deep Q-Network setting and the Bayesian Optimization approach can provide positive average returns. Among the settings being studied, Double Deep Q-Network setting with Sharpe ratio as reward function is the best Q-learning trading system. With a daily trading goal, the system shows outperformed results in terms of cumulative return, volatility and execution time when compared with the Bayesian Optimization approach. This helps traders to make quick and efficient decisions with the latest information from the market. In long-term trading, Bayesian Optimization is a method of parameter optimization that brings higher profits. Deep Reinforcement Learning provides solutions to the high-dimensional problem of Bayesian Optimization in upcoming studies such as optimizing portfolios with multiple assets and diverse trading strategies.
Thrust Control Method and Technology of Variable-Thrust Liquid Engine for Reusable Launch Rocket
Authors: Yao Zhaohui , Qi Yiwen , Bao Wen , Zhang Tianhong
Published: January 2023

A high-precision variable-thrust control method based on real-time measurement of pintle displacement and closed-loop feedback control is proposed to solve the technical problems of deep throttling variable-thrust regulation and control of pintle liquid rocket engines (LRE). By optimizing the system structure and control parameters, the closed-loop control of displacement with high precision and a fast response under a wide range of variable thrust can be realized, and thus the large-range, fast-response, and high-precision control of the chamber pressure, equivalent to thrust, can be indirectly realized. The chamber pressure response time is not more than 0.3 s, the overshoot is not more than ±3%, and the pulsation amplitude is not more than ±5%, which can meet the technical requirements of the large-range thrust adjustment and control of variable-thrust LRE of reusable launch rockets. The proposed variable-thrust LRE thrust control system is simple, reliable, and easy to use and maintain, which solves the problem of the large range, high precision, and fast response of thrust adjustment and control. The proposed system can provide important technical support for carrier rocket recycling and launch cost reduction. This is the first time a closed-loop control method of displacement of an integrated gas generator/flow regulator to achieve a 5:1 large-range continuous-variable-thrust control for the LRE of a reusable launch rocket has been proposed.
Mission Design and Orbit-Attitude Control Algorithms Development of Multistatic SAR Satellites for Very-High-Resolution Stripmap Imaging
Authors: Lee Sangwon , Park Sang-Young , Kim Jeongbae , Ka Min-Ho , Song Youngbum
Published: January 2023

This study designs a multistatic synthetic aperture radar (SAR) formation-flying system for very-high-resolution stripmap imaging (VHRSI) using manufacturable SAR microsatellites. Multistatic SAR formation specifications for VHRSI are derived based on the SAR image theory. For the simultaneous multi-satellite operation, the advantages of the autonomous orbit and attitude control are prominent in terms of the workload of the ground station or the efficient performance of missions. Therefore, the autonomous relative-orbit-control algorithm using relative orbital elements is developed to maintain the designed multistatic SAR formation. Additionally, an autonomous attitude-control algorithm for multistatic SAR imaging is designed by applying the optimal right-ascension of the descending node (RADN) sector concept. Finally, the resolution improvement of VHRSI is verified through multistatic SAR imaging simulations. The multistatic SAR formation is designed with three satellites separated by 7.5 km each in the along-track direction. Autonomous relative orbit control maintains the relative position error within 45 m (3σ). Additionally, the autonomous attitude control simulation verifies that the satellites perform attitude maneuvers suitable for the operation mode, and the pointing error is maintained within 0.0035° (3σ). The spatial resolution of the multistatic SAR system for VHRSI is 0.95 × 0.96 m, which satisfies the very-high-spatial-resolution requirement.
Local and Network-Wide Time Scales of Delay Propagation in Air Transport: A Granger Causality Approach
Authors: Pastorino Luisina , Zanin Massimiliano
Published: January 2023

Complex network theory, in conjunction with metrics able to detect causality relationships from time series, has recently emerged as an effective and intuitive way of studying delay propagation in air transport. One important step in such analysis is converting the discrete set of landing events into a time series representing the average delay evolution. Most works have hitherto focused on fixed-size windows, whose size is defined based on a priori considerations. Here, we show that an optimal airport-dependent window size, which allows maximising the number of detected causality relationships, can be calculated. We further show how the macro-scale but not the micro-scale structure is modified by such a choice and how airport centrality, and hence its importance in the propagation process, is strongly affected. We finally discuss the implications of these results in terms of detecting the characteristic time scales of delay propagation.
Formation Flying Lyapunov-Based Control Using Lorentz Forces
Authors: Ivanov Danil , Amaro Goncalo , Mashtakov Yaroslav , Ovchinnikov Mikhail , Guerman Anna
Published: January 2023

A formation flying control algorithm using the Lorentz force for Low Earth Orbits to achieve a trajectory with required shape and size is proposed in the paper. The Lorentz force is produced as a result of interaction between the Earth’s magnetic field and an electrically charged spacecraft. Achievement of the required trajectories represents a challenge since the control in three-dimensional space is a scalar value of the satellite’s charge. A Lyapunov-based control algorithm is developed for elimination of the initial relative drift after the launch. It also aims at reaching a required amplitudes for close relative trajectories for in-plane and out-of-plane motion. Due to the absence of full controllability, the algorithm is incapable of correcting all the parameters of the relative trajectory such as in-plane and out-of-plane phase angles. The proposed control allows to converge to the trajectory with required shape and size, though with some oscillating errors in the vicinity of the required trajectory parameters. Numerical simulation of the relative motion is used to study performance of the control algorithm for one case of one controlled satellite and two cases of five controlled satellites forming a nested ellipses and train formations. The convergence time and final trajectory accuracy are evaluated for different control parameters and orbits using Monte Carlo approach.
Comprehensive Analysis of lncRNA and mRNA Reveals the Effect of ZBED6 on Spleen Growth in Pigs
Authors: Wang Dandan , Wang Shengnan , Tian Wenjie , Ma Yuehui , Jiang Lin
Published: January 2023

Transcription factor zinc-finger BED domain-containing protein 6 (ZBED6) is unique to placental mammals and regulates insulin-like growth factor 2 (IGF2) expression, which lead to muscle growth. However, the effect of ZBED6 on the growth of spleen is still elusive. In this study, we explored the regulation of ZBED6 on spleen growth, and the results showed ZBED6 knockout (ZBED6 KO) pigs had heavier spleens than wild-type (WT) pigs. To analyze the mechanism of increased spleen weight in ZBED6 KO pigs, long noncoding RNAs (lncRNAs) and mRNAs in the spleen samples (WT:ZBED6 KO pigs = 3:3) were analyzed to identify differentially expressed lncRNAs (DE-lncRNAs) and genes (DEGs) based on the RNA sequencing (RNA-seq) method. Then, 142 DEGs and 82 DE-lncRNAs were obtained. The qRT-PCR results were consistent with those of the RNA-seq, indicating that the data were reliable. The heavier spleen weight of ZBED6 KO pigs coincided with the significantly upregulated IGF2 mRNA. Functional enrichment analysis of DEGs showed enrichment mainly in myofibril assembly and sarcomere. In addition, 252 cis- and 109 trans-acting target genes of 82 DE-lncRNAs were predicted. By conjoint analysis of lncRNA and mRNA revealed that IGF2, DE-lnRNAs (XLOC_113021, XLOC_078852, NONSUSG004057.1, NONSUSG014354.1, and NONSUSG009750.1), and their target gene ACTN2 may be the key candidate genes in promoting spleen growth in ZBED6 KO pigs. This study provides new directions to understand the global functions of ZBED6 and lncRNAs in spleen growth in pigs.
Growth Indexes and Yield Prediction of Summer Maize in China Based on Supervised Machine Learning Method
Authors: Su Lijun , Wen Tianyang , Tao Wanghai , Deng Mingjiang , Yuan Shuai , Zeng Senlin , Wang Quanjiu
Published: January 2023

Leaf area index and dry matter mass are important indicators for crop growth and yields. In order to solve the problem of predicting the summer maize growth index and yield under different soil quality and field management conditions, this study proposes a prediction model based on the supervised machine learning regression algorithm. Firstly, the data pool was constructed by collecting the measured data for maize in the main planting area. The total water input (rainfall plus irrigation water), fertilization, soil quality, and planting density were selected as the training set. Then, the maximum leaf area index (LAImax), maximum dry material mass (Dmax), and summer maize yields (Y) in the data pool were trained by using Gaussian regression (rational quadratic kernel function and Matern kernel function), support vector machine (SVM) and linear regression models. The training models were verified with the data-set not included in the data pool, and the water and fertilizer coupling functions were developed. The prediction results showed that compared to the support vector machine models and the linear regression models, the Gaussian regression prediction models comprising the rational quadratic and Matern kernel functions had good prediction accuracy. The coefficients of determination (R2) of the prediction results were 0.91, 0.89 and 0.88; the root-mean-square errors (RMSEs) were 0.3, 1138.6 and 666.16 kg/hm2; and the relative root-mean-square errors (rRMSEs) were 6.3%, 5.94% and 6.53% for LAImax, Dmax and Y, respectively. The optimal total water inputs and nitrogen applications indicated by the prediction results and the water and fertilizer coupling functions were consistent with the measured range from the field tests. The supervised machine learning regression algorithm provides a simple method to predict the yield of maize and optimize the total water inputs and nitrogen applications using only the soil quality and planting density.
A Novel Mineral Composition Increases Soybean Crop Yield by Mitigating Stress Induced by Ultraviolet-A and -B Radiation
Authors: Abreu André L. , Gratão Priscila L. , Rodriguez Carlos A. V. , Sousa Junior Gilmar S.
Published: January 2023

Ultraviolet radiation (UVR) is an important environmental abiotic stress that consistently affects the yield potential of agricultural crops causing hidden yield losses; few practical solutions are available for protecting large-scale field cultivation. Here, we assess the protective effect of a novel mineral composition principally based upon a concentrated suspension of microparticles of crystalline and insoluble quartz sand applied as foliar spray over the top of plants to mitigate the stress effects of UV-A or UV-B radiation. Soybean (Glycine max (L.) Merrill) plants were cultivated under three alternative UVR exposure scenarios (no UV, +UV-A, +UV-B) to compare sprayed and unsprayed plants. Measurements of malondialdehyde (MDA) and proline contents demonstrated the effects of +UV-A and +UV-B on plants and the effectiveness of the foliar spray in mitigating such stress. Biometric assessment showed that root weight, foliar biomass and number of pods of unsprayed plants were negatively impacted by both +UV-A and +UV-B; whereas, in sprayed plants, the damages for both +UV-A and +UV-B were almost entirely mitigated. The results of this study endorse the use of quartz sand microparticles as a promising tool for growers to achieve sustainable yields in soybeans and potentially other field crops in the face of increasing challenges due to climate change.