bluuebunny/crossref_metadata_2025 huggingface dataset:
A Comparative Analysis of Single-Stage Detectors from the Perspectives of Anchor-Free and Anchor-Based Approaches
Authors: Li Peigeng
Published: January 2024

Since the emergence of deep learning in object detection in 2014, there has been rapid development and widespread application of detectors across various domains such as healthcare, road traffic, and industrial inspection. The evolution of convolutional neural network (CNN)-based detectors has reached a mature stage, with single-stage detectors playing a crucial role within CNN-based frameworks. This paper provides an analysis of the developmental process and distinctive features of classic single-stage detectors categorized into two types: Anchor-free and Anchor-based. Furthermore, the paper also provides a comparison of the accuracy trends for these two types of single-stage detectors over different years. Through this analysis and comparison, potential reasons behind the advancements in single-stage detectors during different time periods can be explored, such as network architecture optimization, increase in datasets, and algorithm improvements. Additionally, this paper offers insights into current research focal points and future prospects.
The technical principle and application case analysis of logistics UAV
Authors: Huang Siyuan
Published: January 2024

Driven by multiple factors such as the sharp increase in distribution demand, soaring labor costs, and complex service scenarios, Unmanned Aerial Vehicles (UAVs) have met the basic requirements for practicality and jointly contributed to a "change" in logistics innovation —logistics UAVs. Logistics UAV is one of the typical representatives of the logistics industry's development towards automation and intelligence. After studying two representative logistics and transportation companies in the industry, it was found that the two companies have different positionings for the application scenarios of their respective logistics UAVs, but they have both developed Industry-leading products and technologies through long-term research and development. Although major companies have invested a lot in logistics UAVs in recent years, there are still four major technical problems to be overcome: path planning, automatic obstacle avoidance, battery life and safety. In addition to unavoidable technical problems, factors that hinder the large-scale deployment of logistics UAVs include imperfect commercial markets and imperfect regulatory systems. Although there is still a long way to go for logistics UAVs, logistics UAVs will surely become an indispensable infrastructure for the modern logistics industry in the future, helping the logistics industry to achieve leapfrog development.
Exact and Approximate Formulae for the Period of Simple Pendulum
Authors: Li Junyi
Published: January 2024

Pendulum plays a significant role in certain practical aspects such as measuring gravitational acceleration and proving the rotation of Earth. In traditional textbooks, only a simplified approximate formula for calculating pendulum period in small angle is given. As a matter of fact, the analytical derivation of the pendulum period can always be given in the form of elliptical integral simply using the law of the conservation of energy. The form, however, is relatively complex for students and beginners in physics. Thus, a simplified version of the period of simple pendulum is highly desirable. This article is going to present a series of approximate formulae for pendulum period and conduct some comparison among these different formulae. This essay is dedicated to help readers and beginners in physics to look into the process of deriving the pendulum period formula, and also provide a convenient way for readers to look up certain literatures in this research area.
Face Recognition Research: A History of Advancement
Authors: Su Ziteng
Published: January 2024

Face recognition technology has come a long way in the past three decades and is now one of artificial intelligence's most pressing research questions. The technology of face recognition has already been used in the field of financial transactions. In the future, it will find increasing application in various spheres of life and work. This not only needs to make the algorithm for the face recognition technology more practical, but it also needs to make the algorithm more efficient continuously. In addition, it is essential to improve recognition accuracy, which is a task that still needs to be completed.
Predicting Pressure from Environmental Factors in London based on ARIMAX Model
Authors: Li Zhizhi , Zhang Qi , Zhou Zhengxi
Published: January 2024

Pressure is an important index in atmospheric science as it influences various aspects of both the natural environment and everyday life. Although the significance of pressure is widely recognized, accurately measuring and recording pressure data remains a crucial issue. This is due to the fact that weather prediction involves fitting a large number of nonlinear factors, which poses significant challenges in establishing precise predicting models. Therefore, the current focus of most research on pressure lies in the innovation and improvement of algorithms for pressure sensors and other related devices. This paper makes a statistical analysis on the raw climate data of London over a period of 13 years starting from 2008, applying an ARIMAX (Autoregressive Integrated Moving Average with Exogenous Variables) dynamic regression model to fit 4 exogenous variables to the pressure data as linear factors. The fitting results showed that the variation in pressure is associated with multiple environmental factors. Furthermore, it is observed that the pressure in London is projected to be slightly higher than normal one in the upcoming months. Due to the numerous parameters in the ARIMAX model, overfitting and underfitting phenomena are prone to occur, therefore, for parameter adjustments, further processing is required.
Analysis of the Principle, Facility and State-of-art Applications of Different Types Inductive Sensor
Authors: Tang Yuze
Published: January 2024

As a matter of fact, different types of inductive sensor are widely used in various aspects. In this case, this study introduces the development history and current status of electromagnetic sensors, as well as the basic principles and future trends of different types of electromagnetic sensors. It provides a detailed introduction to the principles, structures, and measurement specifications of self-inductive sensors, differential air gap self-inductive sensors, mutual inductance sensors, and helical coil mutual inductance electromagnetic sensors. The characteristics and application scenarios of each sensor are analyzed. A comparison of the advantages and disadvantages of various electromagnetic sensors is presented. Furthermore, predictions are made regarding the future research directions and application trends of electromagnetic sensors. This study has gained a good understanding of the basic principles of various electromagnetic sensors and has learned about the selection of electromagnetic sensors for different scenarios, providing guidance for the study of new electromagnetic sensors and their practical applications.
Design and Optimization of S-band Fiber Amplifier (1450-1530nm)
Authors: Gu Quan , Ruan Jiawei , Zhu Fangsi
Published: January 2024

In the current era of rapid development of information technology, people need larger capacity and faster ways to improve communication transmission efficiency. In order to seek more efficient transmission rates, people began to study the optical transmission of signals. Thulium doped fiber amplifiers are an important research topic in the field of communication. Presently, L-band and C-band TM-doped optical amplifier have been developed into commercial applications. The S-band approaches the common C band. So it is very important to study S band Ti-doped Fibre Amplifier in order to enlarge the bandwidth and increase the communication capability. By utilizing 1400 nm single-wavelength pumping technique, the gain for the wideband S-band (1450-1530 nm) in thulium-doped fluor tellurite glass fiber has been optimized. Genetic algorithms have been employed to analyze and optimize the parameters of fiber length and doping concentration for thulium-doped fluoride tellurite glass fiber. It is shown that the maximal gain can be obtained when the dopant concentration is high enough. Therefore, thulium-doped fluoride tellurite glass fiber is a promising and potential gain medium that can be used for constructing efficient wideband S-band fiber amplifiers.
Research and Analysis of VR in the Field of Education
Authors: Gan Xinyi , Hu Leyan , Wu Siying , Xiao Yanxin
Published: January 2024

VR education is still in the stage of development after a long time of experiments and tests. Many countries have launched VR classes successively, trying to make educational resources more comprehensive and equal, but VR requires an amount of device support, at the same time, the effect of VR input into education is uncertain. VR education needs a lot of time and data to determine the effect. This paper attempts to analyze the positive effects of VR in education. For example, in art education, VR eliminates the geographical restrictions on the dissemination of traditional art and culture shadow puppetry; in medical education, high-precision VR medical model enables medical students to have a more comprehensive understanding of medical knowledge; in game education, VR creates an appropriate educational environment for students to learn more immersive. By analyzing the role and development progress of VR, people can use VR technology to explore more possibilities and practicability in education, and bring more talents to the society by utilizing the advantages of VR.
Analysis of the Lyman-Alpha Forest and Reionization Based on THESAN
Authors: Liu Mingze , Peng Xuankai , Zhang Zhiyan
Published: January 2024

As a matter of fact, the universe is composed of 70% invisible dark matter, and approximately 20% of dark energy. On this basis, it is crucial to consider how one can observe those compositions with our naked-eyes. In terms of prediction of the universe’s earliest birthing throes, the astrophysics simulation gives us a glimpse into prediction, which in turn makes valid comparison between simulated project and real-world situations. THESAN is currently the most advanced reionization simulation in the field. For high redshift universe, z=6, the reionization model reveals the intergalactic medium (IGM) is highly radioactive. We further compared the different models of equations governing the evolution of radiation through IGMs. The Lyman alpha forest visualizes the reionization evolution, hydrogen distribution, and other information of early universe. By using mathematical deduction and Python simulation, the mechanisms of the THESAN simulation are explained. Overall, these results shed light on guiding further exploration of reionization process.
Analysis of the Principle and State-of-art Applications for Laser Cooling and Trapping
Authors: Li Zongze
Published: January 2024

As a matter of fact, the laser cooling and trapping has already been widely used in various fields in advanced atoms controlling. With this in mind, this study gives a systematical analysis of the principle of laser cooling and trapping, and the development of them in the recent years. To be specific, this study will discuss the applications that has invented in the recent year based on the laser colling and trapping (especially for the state-of-art facilities), and makes a comparison between the concepts of laser cooling and laser trapping accordingly. Then, based on the analysis and evaluations, the limitations of laser cooling and laser trapping have been shown, and the future outlooks are also claimed and demonstrated as well. To sum up, the study concludes by discussing the limitations of these techniques, and gives some methods to solve these issues. Overall, these results shed light on guiding further exploration of laser cooling and trapping.
Design of Spontaneous Emission Spectra Amplified by S-Band Fiber and Optimization of Output Spectral Peak Power
Authors: Zhou Ziyue
Published: January 2024

The thulium-doped fiber amplifier stands out as the most promising amplifier within the S-band spectrum. This paper delves into the exploration of a 1.47um Tm^(3+)-doped fluorinated fiber amplifier as the primary subject of research. This paper approach begins by establishing the rate equation and power propagation equation for the thulium ion level structure, followed by rigorous mathematical analysis and solutions. Subsequently, we employ MATLAB programming to perform comprehensive calculations, scrutinizing the amplified spontaneous emission spectra's variation concerning Thulium-Doped Fiber Amplifier (TDFA) length and pump power. In a quest for optimal performance, this paper turn to the simulated annealing algorithm to fine-tune the doping concentration and fiber length, ultimately achieving the most favorable output spectral gain. Through systematic experimentation and parameter manipulation, we've unveiled a substantial breakthrough, with our research yielding an impressive optimal gain of 31.71 dB. The ramifications of this work extend far beyond the confines of this study. It sets a solid foundation for advancements in fiber fabrication and paves the way for the realization of fiber lasers, promising significant contributions to the expansion of S-band fiber communication systems. Our findings hold great promise and are poised to drive innovation in this critical area of telecommunications.
The iterative method for the Poisson equation based on domain decomposition
Authors: Sun Jie , Zhang Rui
Published: January 2024

This paper is concerned with 2D Poisson equation. A region-segmentation-based iteration algorithm for the numerical solution of the Poisson equation is presented. The problem can be solved in parallel, where numerical results test our method is effective.
Cauchy Residue Theorem and K-residue Theorem
Authors: Jiang Xiaomin
Published: January 2024

Due to negative numbers do not have square roots, scientists introduced complex numbers, which are more abstract compared with real numbers. Residue Theorem has a very significant status in complex analysis – it can be used to simplify difficult integrals. In this article, Cauchy’s Residue Theorem is first introduced with definition and proof. Then the author shows two examples of using the theorem to solve problems, which can help readers to better explain the theorem. After that, K-residue Theorem is introduced, which is a special kind of Residue Theorem, with a special function called K-function. Finally, the theorem is used to solve a problem. These problems are difficult to solve without Residue Theorem. Through the analysis, it is easy to find the importance of Residue Theorem: it is very useful, not only in math but also in many other fields like physics, biology, and chemistry. Moreover, it still has more potential for people to develop.
Vehicle Detection in Complex Scenes based on YOLOV5
Authors: Zhang Hongbo , Mu Junhan
Published: January 2024

The purpose of the algorithm is to effectively detect vehicles in different conditions, especially in scenes recorded by vehicle recorders. The proposed method is designed to handle complex scenarios with high accuracy and efficiency. Through the use of YOLOV5, the algorithm is able to identify and locate vehicles despite occlusions, density, and low lighting.  The intermediate hidden layer's activation function is achieved by using the Leaky ReLU, and data enhancement strategies are utilized to enhance detection performance. By recognizing 100 images of traffic vehicles in complex scenes, the validation results show that the recognition rate of this recognition method is 78.87%, 89.11% and 91.88% for occluded vehicles, crowded vehicles and independent vehicles, respectively. Furthermore, the recognition speed reached 0.012 s/a, which was reduced by 0.005s compared to the original time. All the results demonstrate that the proposed algorithm has a high recognition rate and real-time speed for the complex scenes, indicating that the convolutional neural network has a promising future in the vehicle detection of complex application scenes.
Semi-Supervised Knowledge Distillation Via Teaching Assistant
Authors: He Limuxuan , Hua Bei
Published: January 2024

As deep neural networks are widely used with computer vision, Model Compression Methods for knowledge distillation are being actively investigated in order to deploy them into smaller devices. However, when there are significant differences between models for students and teachers, a large amount of labeling wastes a great quantity of manpower while the performance of student learning decreases. In this paper, we propose an approach that uses semi-supervised teacher assistants to fuse knowledge distillation with teachers, effectively bridging the large teacher-student gap on a large number of unlabeled datasets and a small number of labeled datasets. We enable unsupervised teacher pre-training, fine-tuning, followed by teacher-assistant offline distillation, student-teacher-assistant oline distillation, and student-teacher offline distillation. We validate the effectiveness of the proposed method for the classification task using CIFAR10, CIFAR-100, and ImageNet.
Parachute free airdrop packaging box application environmental testing technology overview
Authors: Pan Yuancheng , Yu Kaiping
Published: January 2024

Parachute free airdrop delivery method has gained widespread popularity in recent years due to its precise and efficient security benefits. As a critical technical solution for Parachute free airdrop of small equipment and equipment, guns and ammunition, and medical equipment and other materials, relevant tests and research are gradually launched. This paper discusses the design objectives of the Parachute free airdrop packaging box, organizes and summarizes the application environment for the Parachute free airdrop packaging box, describes the design environmental conditions and environmental tests for the Parachute free airdrop packaging box, and provides preliminary technical indicators for the design and development of packaging box products and test devices.
Optimization of the Peak Power of the Output Spectrum of Spontaneous Emission Spectrum Amplified by O-Band Fiber
Authors: Pan Jingzhi , Yuan Ruiqi
Published: January 2024

As the demand for information and communication continues to increase, the optimization and improvement of optical fiber communication has been a key focus of scientific research, with profound impacts on multiple fields, including military, aerospace, industrial, and daily communications. Based on the in-depth understanding and establishment of the rate equation and power propagation equation of each energy level system, this study explores the influence of fiber length and doping concentration on amplifying spontaneous emission spectrum under certain pump power. With a comprehensive understanding of its characteristics, analog annealing algorithms are employed to optimize the length and doping concentration of the fiber to maximize the peak power of the output spectrum. This research provides an important contribution to the further development and efficiency improvement of optical fiber communication in the future. It is concluded that for the O-band, the output peak of high power can provide greater signal strength, thereby increasing the transmission distance and bandwidth capacity of the signal. This is essential for applications such as long-distance communications, high-speed data transmission, and multi-channel transmission.
Observation and Mechanism Analysis of Pev-Scale Comic Ray
Authors: Li Yuanjing
Published: January 2024

As a matter of fact, the observation of high energy cosmic ray always plays a crucial role in astrophysics investigation, which can infer the processes happened in universe, e.g., the supernova burst, black hole merger. In recent years, PeV-scale gamma photons has been firstly observed by human beings, which marks a new step for cosmology study. With this in mind, this study will analyze the observation as well as mechanism for the generation of such extremely high energy gamma rays. To be specific, this study will first introduce the state-of-art observation tools for high energy particles. Subsequently, the advanced observation results will be demonstrated at the same time. Based on the results, the possible mechanisms will be presented in the meantime. Moreover, according to the analysis, the current defects and drawbacks of the observation as well as theorem will be discussed. Overall, these results shed light on guiding further exploration of high energy particles analysis.
Analysis of the Principle and Applications of Aerodynamics of High-speed Railway
Authors: Wang Junzhe
Published: January 2024

With the advancement of science and technology, the railway has become an important breakthrough. Railroads can transport goods and carry people. Aerodynamics has a huge connection to the study of the high-speed railways. On this basis, the subject of this paper is the principle and application analysis of high-speed railway aerodynamics. To be specific, this study introduces the formulas and principles related to aerodynamics, and how some formulae are used in high-speed railways. The research searches for literature related to railway and aerodynamics and finds the current development status of high-speed railway. The paper explains how aerodynamics affect high-speed rail, the way to transform high-speed railways with aerodynamic knowledge. Contemporarily, there are many methods to carry out the simulation and tunnel experiments. This study also introduces some special experiments to solve special problems about high-speed railway. According to the analysis, there are still many aerodynamic problems that people need to solve, and there is room for improvement in high-speed railways.
Forecasting New Energy Vehicle Sales in China based on GM (1,1) Model
Authors: Ma Mingshang
Published: January 2024

With the intensification of the conflict between economic development and green energy, the prediction of sales figures of new energy vehicles, especially electric vehicles, has become one of the key concerns in society. This study aims to help businesses understand market trends and adjust marketing strategies and planning in a timely manner through sales volume forecasting. The research data in this paper is sourced from the monthly sales volume data of new energy vehicles in China from January to June 2023, obtained from the global automotive industry platform Mark Lines. Taking into account various factors and adopting a time series approach, the GM(1,1) model is utilized to forecast the sales of the research subject. for the future time period in 2023 on a monthly basis. The results indicate that this method can accurately predict the research subjects in this study, the new energy vehicle industry is expected to enter a faster development stage. This provides an important reference for promoting the vigorous development of China in the new energy vehicle industry.
Analysis of the principle and applications of aerodynamics in high-speed railway
Authors: Zhang Shuhao
Published: January 2024

In recent years, high speed railway trains are a main part of modern transportation which brings extremely convenient. In this case, studies on aerodynamic performances and phenomenon of trains are the core for further development of high-speed trains. With this in mind, this paper briefly introduced aerodynamic formulae as well as summarized some major computational designs of train noses, with the corresponding experimental results of some designs. On this basis, the application of some designs was explained, with follow up limitations and outlooks of aerodynamics of high-speed trains. According to the analysis, results show that designs in China focus more on reducing aerodynamic drag, while the flatter design in Japan has a better overall aerodynamic performance. In addition, the limitations of current facilities as well as the prospects for the high-speed railway systems are demonstrated. Overall, these results shed light on guiding further exploration of high speed railway development.
Role of Ultrasound in Antenatal Detection of Echogenic Amniotic Fluid and Pregnancy Outcome
Authors: Al-Sattam Zahraa Muhmmed Jameel
Published: January 2024

Background: Ultrasound is a valuable tool for evaluating fetal problems throughout pregnancy. Amniotic fluid anomalies have been associated with unfavorable maternal, fetal, and obstetrical outcomes. Objective: To determine the effect of echogenic amniotic fluid during term pregnancy on the presence of meconium stain liquor and pregnancy outcome. Methods: A cross-sectional study was conducted on 1080 term pregnant women who visited Al-Elwiya Maternity Teaching Hospital from May 1st, 2021, to May 1st, 2023. Ultrasound was used to analyze echogenic amniotic fluid and turbid liquor. The liquor state was tested either after an artificial membrane rupture in the vaginal delivery trial or during a cesarean section. Results: Echogenic amniotic fluid or turbid liquor was detected in 120 cases, while clear liquor was found in 960. Meconium-stained amniotic fluid was discovered in 39 of the 120 instances with turbid liquor, whereas bloody liquor was found in four. In contrast, clear fluid with vernix caseosa was identified in 55 cases, while just 22 cases had clear liquor. Clear liquor was found in 640 of the 960 cases, vernix caseosa liquor in 200, and meconium-staining liquor in only 120 cases. Conclusions: The presence of echogenic amniotic fluid or turbid liquor increases the chance of meconium-stained liquor, but it could also be caused by vernix caseosa. Other indicators, such as fetal movement and the non-stress test, should be used to determine the manner of delivery.
Folyamatosságok Wittgenstein műveiben
Authors: Szecsődy Kristóf
Published: January 2024

Absztrakt nem áll rendelkezésre.
Infants of Diabetic Mothers and Associated Complications in Neonatal Intensive Care Unit in Misurata Center
Authors: Assadi Moktar , Alburki Salima , Assadi Abdulaleem , Rajab Ali , Gadora Faraj
Published: January 2024

Infants of diabetic mothers (IDM) are at an increased risk of various complications. The aim of this study is to evaluate the prevalence, demographic and clinical characters of IDM admissions to the neonatal intensive care unit, and the factors associated with morbidity and mortality. The study is a 1-year retrospective observational study involving all the cases of IDM admitted to the neonatal intensive care unit at Misurata. The study examined the association of the following ante- peri- and postnatal factors to the morbidity and mortality rate of IDM. A total of 103 IDM were admitted to the NICU with mother age range of 31- 35 years. About 84% of the mothers had multiple pregnancies, 81.5% of the IDM were born through C-section. 72% of the mothers had gestational diabetes. 59% of IDMs were females. Median gestational age was 36 – 38 weeks which was associated with higher mortality rate (p = 0.041) ,40% of them were post term. Macrosomia was the most common complication; 41%. About 22% had hypocalcemia and 12% had RDS. Six cases had congenital heart disease (CHD). About 26% of the cases required intravenous fluid (IVF) which had a significantly higher mortality rate (25% vs. 1.3%) (p = 0.008). IDM are at a higher risk of congenital and acquired morbidities and mortality. Delayed birth and the mode of delivery (elective or urgent C-section) are associated with the severity of the gestational diabetes which is significantly associated with higher mortality rate.
Lysosomal Acid Lipase Deficiency in Libya: A Case Report
Authors: Gashoot Khalid , Kashbour Muataz , Alfegi Safa , Berfad Asma
Published: January 2024

Lysosomal acid lipase deficiency (LAL) is a rare autosomal recessive disorder caused by mutations in the LIPA gene. Wolman disease (WD) is a severe subtype characterized by almost absence of LAL activity. Patients usually present in infancy with gastrointestinal and hepatic manifestations leading to death within the first year of life if left untreated. We report a case of a Libyan infant boy who presented at 3 months of age with persistent vomiting, diarrhea, poor feeding, and failure to thrive. Investigations revealed hypokalemia, hyponatremia, elevated liver enzymes, and abnormal fat in stool. Abdominal imaging showed hepatosplenomegaly, enlarged lymph nodes, and bilateral adrenal calcification suggestive of WD. His condition deteriorated and he succumbed to complications of hepatic failure. Genetic testing confirmed LIPA gene mutation consistent with WD. In conclusion, this study reports the first case of WD in a Libyan infant. Radiological imaging was crucial in identifying specific features of the disease. Unfortunately, the disease progresses rapidly and often results in fatal outcomes in early childhood, highlighting the limited treatment options available for this rare genetic disorder.v
Learner Centred Teaching Strategies That Can Be Incorporated with Guided Discovery Method on Senior High School Students’ Achievement in Circle Theorems
Authors: Nurideen Suraj , Amenyi Churcher Kwesi , Saaha Christopher , Yunus Hissan
Published: January 2024

The aim of the study is to investigate learner centered teaching strategies that can be incorporated with the guided discovery method to aid students’ achievement in circle theorems. The study employed a descriptive survey of questionnaires formulated for both teachers and students. Two Form 2 classes from various two Wa Municipality schools were chosen for the study using convenient, purposeful, and straightforward random sampling techniques. To conduct the study, two research questions were used. The sample size was composed of 164 students and 32 mathematics teachers from 2 schools in Wa Municipality in the Upper West Region. The theory that influenced the study was Piaget’s cognitive constructivism. The main purpose of the study was to ascertain the impact of incorporating other teaching or learning strategies with the guided discovery-based instruction to aid students’ conceptual understanding leading to achievement in circle theorems. The study’s findings indicated that teacher-related challenges recorded a mean of 1.66 as well as students’ own personal problems recorded a mean of 1.71, the encounter with teaching and learning of circle theorems had a low effect rate of 1.71 on their understanding of circle theorems. The results of the study’s findings suggested that teachers’ implementation of a variety of other appropriate learner-centered teaching strategies recorded a mean of 1.68 as well and learner-centered teaching resources or teaching aids recorded a mean of 1.77, have a low effect rate on students’ understanding of circle theorems when they are incorporated with guided discovery method in the classroom. To enhance the performance of SHS students, it will be most advantageous to introduce guided discovery teaching methods to pre-and in-service teachers, through promotion by Ghana Education Service and/or other stakeholders in the education sector, this introduction may be distributed through workshops and seminars. Math teachers’ instructional techniques and skills will improve as a result.
Building a Community Organization: New Spaces for Social Change
Authors: Dolby Nadine
Published: January 2024

In this critical reflection, I discuss my dual roles as a president of a local nonprofit organization and a full professor at my university. I reflect on how I moved from a volunteer at an animal shelter to a community leader, discuss the organization I founded in 2019, and explore the various, daily intersections between these two roles and experiences.
PENGARUH INTENSITAS PENGGUNAAN INSTAGRAM TERHADAP BODY DISSATISFACTION PADA WANITA DEWASA AWAL
Authors: Aufi Azzahra Putri  , Untung Subroto
Published: January 2024

Penelitian ini bertujuan untuk mengetahui pengaruh intensitas penggunaan sosial media Instagram terhadap body dissatisfaction pada Wanita dewasa awal. Penggunaan instagram dapat mempengaruhi keyakinan dan kekhawatiran terkait penampilan wanita dikarenakan konten dalam Instagram dapat menciptakan standar kecantikan yang tidak realistis dan mendorong perasaan tidak puas terhadap tubuh sendiri. Individu yang merasa kondisi fisiknya tidak sesuai dengan gambaran tubuh yang diinginkan akan mengalami perasaan kurang secara fisik sehingga dapat menimbulkan rasa tidak puas pada tubuhnya yang disebut sebagai body dissatisfaction. Partisipan pada penelitian ini melibatkan 307 wanita dewasa awal yang memiliki profil Instagram, berusia dari 18 hingga 25 tahun. Penelitian ini menggunakan metode kuantitatif dan Sampling purposive digunakan sebagai metode pengambilan sampel. Alat ukur yang digunakan yaitu alat ukur intensitas penggunaan Instagram yang dikembangkan oleh Sukmaraga (2018) dan Body Shape Quetionnaire-34 (BSQ-34) oleh Cooper, Taylor, Cooper, dan Fairburn (1987). Temuan dari penelitian ini menghasilkan adanya pengaruh Intensitas Penggunaan Instagram terhadap Body Dissatisfaction pada Wanita Dewasa Awal dengan nilai sebesar 0,137 atau 13,7%. Dapat diartikan bahwa semakin tinggi intensitas penggunaan instagram pada wanita dewasa awal maka akan menimbulkan body dissatisfaction.
PENGARUH EMPLOYEE ENGAGEMENT, KOMUNIKASI, MOTIVASI KERJA, DAN KOMPENSASI TERHADAP KINERJA PEGAWAI PADA INSPEKTORAT PROVINSI JAWA TIMUR
Authors: Ellen Nita Vindriana  , Sundjoto  , Sri Rahayu
Published: January 2024

Agen dalam era globalisasi saat ini diharapkan mampu beradaptasi dengan lingkungan yang mengalami perubahan yang relatif cepat, sulit terkendali, dan menghadapi persaingan yang semakin ketat. Tujuan dari penelitian ini adalah untuk menguji, membuktikan, dan menganalisis pengaruh keterlibatan karyawan, komunikasi, motivasi, dan perbaikan terhadap kinerja karyawan. Penelitian ini menggunakan data primer dalam bentuk data kuesioner yang didistribusikan. Sampel yang digunakan adalah 60 responden dengan menggunakan kriteria sampling. Analisis yang digunakan dalam penelitian ini adalah analisis SEM. Berdasarkan hasil penelitian, dapat disimpulkan bahwa variabel keterlibatan karyawan berpengaruh terhadap kinerja karyawan, variabel komunikasi tidak berpengaruh terhadap kinerja karyawan, variabel motivasi berpengaruh terhadap kinerja karyawan, dan variabel perbaikan tidak berpengaruh terhadap kinerja karyawan. Seperti dorongan dan saran, yaitu karyawan yang terlibat, termotivasi, dan merasa puas melalui keadilan cenderung memberikan kontribusi maksimal untuk mencapai tujuan organisasi. Fokus pada keterlibatan karyawan, komunikasi terbuka, motivasi, dan pembaruan yang adil dapat membentuk budaya organisasi yang positif. Hal ini dapat menciptakan lingkungan kerja yang mendukung kolaborasi, inovasi, dan pertumbuhan karyawan.
POTENSI YANG DIMILIKI OLEH PARA PEDAGANG DI AREA PARKIR PASAR BANYUASRI
Authors: I Putu Yudisthira Putra Narmada
Published: January 2024

Pasar Banyuasri merupakan sebuah tempat terjadinya transaksi antara pedagang dan pengunjung yang menjadi konsumen. Pasar merupakan tempat bagu para pedagang untuk melakukan aktivitas mereka dalam menjajakan komoditas yang mereka miliki dan tempat bagi para konsumen untuk mencari barang yang dibutuhkan. Para pedagang memiliki potensi yang dapat dimanfaatkan untuk dapat menjual komoditas mereka kepada pembeli yang membutuhkan. Penelitian ini menggunakan pendekatan secara deskriptif kualitatif sebagai metode utama dan pendekatan kuantitatif sebagai penunjang bagi data kualitatif. Peneliti menggunakan teknik purpossive dalam menentukan informan. Para informan dalam penelitian ini merupakan para pedagang yang mendiami suatu area pasar yang memiliki pengalaman serta keterampilan dalam berdagang. Dalam penelitian ini, para pedagang memanfaatkan potensi dalam aspek modal mereka dalam memperoleh keuntungan. Hal tersebut dilakukan dengan cara meningkatkan pasokan barang ketika permintaan meningkat dan menguranginya ketika permintaan menurun. Dalam hal keterampilan, para pedagang meningkatkan harga jual ketika menjelang hari raya untuk dapat memaksimalkan keuntungan. Para pedagang telah mempertimbangkan bahwa barang dagangan dapat laris dengan cepat menjelang hari raya keagamaan. Berdasarkan hal tersebut, para pedagang senantiasa memperhatikan potensi mereka serta memanfaatkan modal dan ketrampilan untuk memperoleh keuntungan secara maksimal.
THE RELATIONSHIP OF WORK DISCIPLINE, EMOTIONAL INTELLIGENCE, LEADERSHIP AND THE PERFORMANCE OF PAI HIGH SCHOOL TEACHERS IN PADANG CITY
Authors: Slamet Riyadi  , Nur Adilah  , Suwardi
Published: January 2024

This research aims to prove the influence of work discipline, emotional intelligence and leadership style on teacher performance PAI teacher at SMAN Padang City. The sample in this research was all teachers PAI teacher at SMAN Padang City, totaling 53 people. The type of data used is primary data, namely through distributing questionnaires. To analyze the influence of work discipline, emotional intelligence and leadership style on teacher performance PAI teacher at SMAN Padang City, using multiple regression. From the results of hypothesis testing that has been carried out, it can be concluded that work discipline does not have a significant effect on teacher performance PAI teacher at SMAN Padang City. Emotional intelligence has a significant effect on teacher performance PAI teacher at SMAN Padang City. Meanwhile, leadership style does not have a significant effect on teacher performance PAI teacher at SMAN Padang City.
Conceptual Foundations of the Development of Mentoring in the System of Innovative Activity of Enterprises
Authors: Doroshkevych Kateryna , Kit Artem
Published: January 2024

Mentoring activity, which should be considered as a system of relationships, in which one person (mentor) provides support for new knowledge, development and progress of another person (student, mentee), has been studied. The practice of using mentoring in the system of education and science, pedagogy, the field of personnel policy of state authorities, entrepreneurial activity, sociological research is considered and its characteristic features are determined. The importance of mentoring in the conditions of innovative development of enterprises is indicated, which ensures strategic partnership, stimulation of creative activity of innovators, development of their professional skills, acquisition of new knowledge, increase in the level of loyalty of employees and their dedication to the enterprise; improvement of interpersonal interaction; acquisition by mentors of experience in management and training of employees, transfer of strategic knowledge, etc. The sequence of mentoring at enterprises was studied. The conceptual principles of mentoring development in the system of innovative activity of the enterprise are outlined, for which the means of modeling business processes of the enterprise (Process Modeler (BPwin) with the support of IDEF0 functional modeling methodology) are used. The defining concept of mentoring is substantiated by its functional disposition in the following directions: detailing the order of mentoring to 4 stages of its implementation at the enterprise ("to tell", "to show", " to make", review stages); specifying the necessary administrative documents that ensure managerial influence on the process of mentoring at the enterprise (innovative strategy and tactics of the enterprise and mentoring regulations); specifications for mentoring resource provision when carrying out innovative activities (participants of mentoring are mentors, mentees and other employees of the enterprise if necessary, to implement their functions, interviews, workshops, online meetings should be held, which are recommended to be carried out offline and by MS Teams, Zoom, Google meet, etc.) and its results (theoretical knowledge or practical skills of the mentor and mentee, etc.). The results are displayed on the context diagram (global model) and with the help of the functional decomposition of mentoring in the system of innovative activity of the enterprise. The article is empirical.
Contribuições da Fenomenologia como Perspectiva Metodológica nas Ciências Humanas
Authors: Cardoso Silva Carlos
Published: January 2024

Contribuições da Fenomenologia como Perspectiva Metodológica nas Ciências Humanas

Resumo:

O artigo apresenta a fenomenologia como uma perspectiva metodológica de pesquisa que pode ser aplicada em diferentes áreas do conhecimento, especialmente nas ciências humanas. A partir da perspectiva fenomenológica de Edmund Husserl, por meio da intencionalidade da consciência, da redução fenomenológica é possível pesquisar de forma qualitativa dados originários da consciência e da subjetividade humanas; bem como, o/a pesquisador/a identificar as essências universais que caracterizam a experiência do mundo-vida dos participantes. A fenomenologia contribui para a compreensão da experiência subjetiva nas ciências humanas, permitindo uma reflexão sobre a vida autêntica, ética, racional e consciente. No entanto, os pesquisadores que utilizam a fenomenologia como perspectiva metodológica enfrentam desafios, como a dificuldade de acesso às experiências subjetivas e a necessidade de um método que apreenda dos dados coletados com rigor metodológico, por meio da descrição, da suspensão dos juízos (epoché) e da interpretação rigorosa dos dados a partir do mundo-vida da pessoa ou grupo estudado para a captação do fenômeno oriundo da consciência, por isso, o método fenomenológico é  fundamental para pesquisas na área de humanidades.

 

Palavras-chave: fenomenologia - perspectiva metodológica - ciências humanas - redução fenomenológica - desafios.
FLEXIBILIZAÇÃ DAS METODOLOGIAS PARA O ENSINO DE GEOGRAFIA PARA ALUNOS COM TRANSTORNO DO ESPECTRO AUTISTA
Authors: De Jesus Vitória , Francisco de Carvalho Luan , De Fátima da Silva Rosas de Castro Rita
Published: January 2024

O presente trabalho intenciona apresentar ao professor regente possíveis usos de metodologias para o ensino da Geografia Escolar para o aluno com Transtorno do Espectro Autista (TEA), detectando a importância de aplicação de método antecessor à metodologia como forma eficaz de apontar caminhos didático-pedagógicos individualizados para familiaridade com as categorias de análise da Geografia. Dessa forma se busca compreender se há eficiência nas práticas usualmente adotadas promovendo a inclusão intelectual do grupo à sala dentro de suas especificidades particulares. Espera-se, portanto, contribuir para a Educação Especial de modo a flexibilizar o ensino da ciência geográfica.
O ENSINO DE CIÊNCIAS NA SALA DE RECURSOS MULTIFUNCIONAIS PARA ALUNOS COM TRANSTORNO DO ESPECTRO AUTISTA
Authors: Lopes Bernal Bruna , Ferreira da Silva Flávia , Gomes Vera Lucia
Published: January 2024

O presente artigo retrata o processo de aprendizagem dos alunos com Transtorno do Espectro Autista no ensino de ciências e o papel da sala de recursos multifuncionais na aprendizagem desses alunos, tendo como objetivo promover uma reflexão sobre o processo de inclusão na educação por meio do ensino de ciências. Entende-se que a inclusão escolar pode oferecer a esses alunos oportunidades de convivência com os demais, diminuindo assim seus défcits na comunicação e dificuldades nas interações sociais. A educação inclusiva é um desafio dentro da sala de aula e necessita de mudança de paradigmas e ações que envolvem a todos, para construir um espaço de aprendizagem e de desenvolvimento da competência social. Utilizamos como procedimento metodológico análise documental e artigos que abordaram o objeto da pesquisa. Como resultados percebemos a relevância da utilização de metodologias com práticas pedagógicas e recursos diferenciados para o ensino de ciência para os alunos com TEA, além da importância do atendimento educacional especializado de sala de recursos multifuncionais focando nas características, necessidades e potencialidades individuais para garantir uma inclusão escolar com qualidade e real.
O ENSINO DE CIÊNCIAS DA NATUREZA PARA ALUNOS COM TRANSTORNO DO ESPECTRO AUTISTA: UM ESTUDO SOBRE INCLUSÃO
Authors: De Lima Ormundo Hyandra , Moreira de Oliveira Pedro Lucas , Silva Rita de Fátima
Published: January 2024

O presente trabalho objetivou buscar em meio a literatura nacional através de revisão bibliográfica como que as Ciências da Natureza são ministradas para os alunos com Transtorno do Espectro Autista (TEA), como são as metodologias utilizadas para trabalhar com esses alunos e quais são os entraves para o trabalho com este público da educação especial. Para tal, a revisão bibliográfica foi realizada através da busca de artigos contendo a descrição, aplicação e resultados de metodologias aplicadas em aulas com alunos autistas e também trabalhos que contemplassem pesquisas com professores titulares de Ciências que já tiveram ou tem contato com alunos que possuem TEA, a fim de investigar como estes trabalham com seus alunos e quais dificuldades encontram no exercício de sua função para com este público. O levantamento dos artigos foi realizado através da plataforma Google Acadêmico. Baseado nos resultados qualitativos dos trabalhos obtidos, realizou-se uma análise sincrônica, observando as metodologias trabalhadas e se elas obtiveram resultados igualmente satisfatórios. A partir dos resultados obtidos, pode-se inferir que as metodologias práticas e lúdicas, onde o aluno autista participa ativamente, são as mais utilizadas e adequadas para suprir as demandas que o aluno apresenta. Entretanto, mediante ao prisma de realidades presente no Brasil, foram encontrados problemas recorrentes que impedem que os professores executem tais metodologias, pois segundo eles, a defasagem e o despreparo em relação a TEA são os problemas mais pujantes em seu ofício.
A AVALIAÇÃO DA APRENDIZAGEM NA EDUCAÇÃO ESPECIAL: BREVES APONTAMENTOS
Authors: Silva dos Santos Andreia , Vasques dos Santos Cláudio Luiz , Gomes Vera Lucia
Published: January 2024

O objetivo deste trabalho é realizar um breve levantamento bibliográfico dos estudos realizados sobre a avaliação da aprendizagem em estudantes da educação especial. A análise da temática apresentada neste artigo é organizada a partir das leituras e pesquisas realizadas em livros, artigos publicados em revistas e/ou on-line e discussões observadas em vídeo aulas e palestras disponíveis na internet. A questão norteadora é “Como é proposta a avaliação da aprendizagem para os estudantes da educação especial?”. Trata-se de uma pesquisa qualitativa, de cunho documental. A relevância do estudo ancora-se na necessidade de se realizar debates e estudos contínuos sobre a avaliação no contexto da inclusão educacional.
تعامل السنة النبوية مع الشهيد وأهله بعد موته
Authors: الأخرش محمد علي محمد يحيى
Published: January 2024

هدفت هذه الدراسة إلى التعرف على طريقة التعامل في السنة النبوية مع الشهيد وأهله بعد موته، واستخدم الباحث المنهج الوصفي الاستقرائي والتحليلي لما ورد في السنة النبوية من الأحاديث التي ذكرت الشهداء والتعامل معهم، ومع أهاليهم وذرياتهم بعد موتهم.

وتوصلت الدراسة إلى أن للشهيد أحكامًا خاصة منها: ضمانة الله له بالجنة، وأنه لا يجد الألم، وأن له أحكامًا عامة كذلك، وأن أقسام الشهيد ثلاثة: شهيد الدنيا والآخرة، وشهيد الدنيا فقط، وشهيد الآخرة فقط، وله آثارٌ عامة وآثارٌ خاصة، واهتمت السنة النبوية بالشهيد من خلال: ذكر مآثره ومناقبه بين الناس، وذكر فضائله وأجره بعد الموت، وترجّح أن الشهيد لا يغسّل إذا لم تكن عليه نجاسة ظاهرة، وأنه يكفن في ثيابه، ويصلى عليه؛ كما اهتمت السنة النبوية بأهل الشهيد في صورٍ منها: إعداد الطعام لهم، وتفقد أولادهم وأهليهم، والسؤال عنهم، وكفالتهم ورعايتهم.