bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of dark matter and detect dark matter using collider
Authors: Yan Ning
Published: December 2023

This review study will give a brief introduction to dark matter, Large Hadron colliders (LHC), and circular electron-positron colliders(CEPC). The first part of the paper will discuss the fundamental properties of dark matter and the evidence for its existence. There will be a brief discussion of the theories used to explain dark matter. There will be three dark matter profiles and dark halo introductions. The basic configuration, ideas, and dark matter detection of LHC will then be covered in the study. The detection process includes missing momentum signals, bump hunting, and limiting the WIMP zone. The final section will describe CEPC's basic setup and its benefits for locating dark matter.
Optimizing the counter service based on linear programming and queue theory
Authors: Guo Qingyuan
Published: December 2023

With the progress of the social economy, the pace of people's life and work is accelerating, and queuing has gradually become a key factor affecting the service level and quality of enterprises. Although the queuing problem has been gradually optimized, there are still some problems such as queue congestion and confusion, inadequate work of staff, and low efficiency. It can be seen that effective measures have been taken to properly solve the queuing problem in China's service industry and other industries. This paper is aimed at using the method that combined linear programming with queue theory to develop 3 steps to optimize the manpower scheduling problem for a real-world situation. A case study of the local government service counter is provided. After applying our model to the case problem, we have achieved three goals: to reduce the number of staff to a more accurate state. Our research finds that there exist some real problems with the service like their service rate is a bit low and needs to improve. In addition, this model has application value for a wide range of other fields, such as banks, post offices and other scenarios.
Assessing the effects of different factors on students math grade: evidence from ECLS-K dataset
Authors: Lu Hanxiao
Published: December 2023

This study examined the causal effect of the Early Childhood Longitudinal Study, Kindergarten Class of 19981999 (ECLS-K) program on students academic achievements in math. Moreover, factors heavily impacting students fifth grade math score are also explored. The result indicates that the ECLSK program has insignificant negative impact on students math score. Kindergarten math score, fine motor skill and gender are top three positive factors and childs age at k entry, ECLS training program, attended head start are top three negative factors. These results provide a framework for educators to help children improve their math score.
Formation mechanism of blazar jets
Authors: Chen Jiaxuan
Published: December 2023

In research of astronomy, cosmology and the basic theoretical physics, the black hole is one of the most concerned celestial bodies. AGN is a kind of observation source with supermassive black hole as the central core, among which Blazar is the key observation subclass of the observer whose jet is facing the Earth. Therefore, the study of the jet has become an crucial subject of black hole research. In this paper, I start with the basic structure model of AGN, briefly describe the characteristics and mechanisms of each structure, especially the jet, and afterward introduce the observed spectral bimodal characteristics, focusing on the analysis of the existing jet formation mechanism from the radio band. Through the existing observations and data fitting, that is, the logarithmic linear fitting of the jet power to the luminosity of the accretion disc and the jet power to the mass and spin parameters of the black hole, corresponding to the Blandford&Payne and the Blandford&Znajek mechanism respectively. Finally, we analyze the conclusion of the two methods and draw the possibility of the two processes and the complementary relationship in theory. Incidentally, the model theory of mixed interpretation of the two mechanisms and processes is obtained.
Prediction of intel CPUs price with regression analysis
Authors: Fu Dongrong Joe
Published: December 2023

CPU stands for the central processing unit. It is a unit that executes the instruction and allows the computer to run programs, making it an essential computer component. When people are looking for a new computer, either buying a built one or building one, CPU takes up a significant portion of the computer budget. The existence of Moores Law indicates that the CPUs price is predictable. This essay constructed the two models, multinomial linear regression and multivariable polynomial regression models, based on parts of Intel CPUs parameter value to predict their recommended sale price. According to the data set used in this research and the built model, the multinomial linear regression model is more accurate in predicting.
A technical evaluation of robots in hazardous professions
Authors: Lao Yiyang
Published: December 2023

In recent years, the rapid development of robot technology has gradually led to the reality that humans are replaced by robots in dangerous occupations. However, in contrast to robots in other fields, robots in hazardous professions have a wide variety and complexity due to the low repeatability and high uncertainty of tasks, so they have specialized functions and no relative standard form. As a result, the eligibility criteria for evaluating this type of robot remain unclear. This paper focuses on two criteria that can be used to evaluate such robots and determine whether existing robots in hazardous professions meet these criteria. In order to find solutions to the issues, many papers related to rescue robots is reviewed, and important information is extracted and reintegrated to obtain the final results. In this paper, capability and practical acceptability are two evaluation criteria of robots in hazardous obtained. At the same time, it is judged that most of the existing robots meet both of the standards, but they expose a great number of defects when facing a more complex environment. This paper also provides several suggestions that might address the existing limitations.
Rumour detection and analysis on Twitter
Authors: Fan Yaohou
Published: December 2023

In recent years people have become increasingly reliant on social media to read news and get information, and some social media users post unsubstantiated information to gain attention. Such information is known as rumours. Nowadays, rumour detection is receiving a growing amount of attention because of the pandemic of the New Coronavirus, which has led to a large number of rumours being spread. In this paper, a Natural Language Processing (NLP) system is built to predict rumours. The best model is applied to the COVID-19 tweets to conduct exploratory data analysis. The contribution of this study is twofold: (1) to compare rumours and facts using state-of-the-art natural language processing models in two dimensions: language structure and propagation route. (2) An analysis of how rumours differ from facts in terms of their lexical use and the emotions they imply. This study shows that linguistic structure is a better feature to distinguish rumours from facts compared to the propagation path. In addition, rumour tweets contain more vocabulary related to politics and negative emotions.
A new digital image shifting method by considering the geometry of camera sensors
Authors: Wong Maximilian Ke Lin , Huang Kenny S , Jiang Jun
Published: December 2023

Digital image shifting occurs when the pixels needs to be moved, the algorithm behind this is interpolation. Current digital image shifting algorithm utilizing interpolation has a limitation: it treats all images as the same type of matrix and does not consider how the images are formed this could cause problems in some sensitive imaging scenarios such as microcopy and precision optical metrology. The goal of our research is to propose a new approach to implement the digital image shifting method. We based our new method off of digital camera sensors, specifically the CMOS sensor. When light (a continuous signal) hits the CMOS sensor, the sensor transforms the light into a discrete signal and its energy into electric energy. Then, this discrete signal then generates the pixels of the image. Our algorithm is similar: The signal is convoluted with the rectangular function, generating a continuous signal, and then we multiply the discrete dirac comb function to generate a discrete signal. After that, we only have to manipulate the discrete dirac comb function to obtain the desired result. Our conducted simulations on the computer proves our method correct, hopefully more experiments can be done in the industrial setting.
Study on the ancient glass composition based on the multivariate statistical analysis method
Authors: Liu Chengyi
Published: December 2023

The Silk Road was a channel of cultural exchange between China and the West, and glass was the precious material evidence of early trade. The study of the relationship between the weathering of ancient glass products and glass types and chemical composition contributes to the preservation of ancient cultural relics and promotes the further study of the history of the Silk Road. Based on this, this paper analyzed the surface weathering of cultural relics, and the type, ornamentation, color, and chemical composition of cultural relics, and it was finally found that there is a significant correlation between glass type and surface weathering. Then, discriminant analysis and systematic cluster analysis were applied to establish the classification function for the glass type variables and the chemical composition variables. Finally, gray correlation analysis was used to explore the correlation between each chemical component, and found that SiO2-Al2O3 was the most associated with each other in lead-barium glass, and K2O-CaO was the highest in high potassium glass.
Performances evaluation of machine learning models on income forecasting
Authors: Wan Ziyang
Published: December 2023

Job seekers, especially those who are looking for their first job, often lack sufficient experience and guidance, which makes it difficult for them to obtain satisfactory salaries. Therefore, salary prediction is very important. For individuals, income ranges can be estimated; for companies, the use of such estimates can guide salary adjustments for employees and prevent the loss of talented personnel, increase company revenue, and reduce operating costs; for governments or countries, these estimates can provide a macro-level assessment of overall income for a large area, such as predicting GDP per capita in a city, making it easier to make economic adjustments and grasp macro development trends. This article uses three models: decision trees, random forests, and neural networks, to train relevant datasets. The dataset is Adult Income Dataset from Kaggle. A total of 32,561 adults are included, including 15 items of data including age, education level, occupation, marital status, working hours per week, and others. The training and test sets were divided into a 7:3 ratio, and the predictive result of each model was evaluated through following figures: accuracy, recall rate, and F1 score. The final conclusion was that the random forest model had the best performance. There is an inseparable relationship between residents' income and the development and happiness of individuals and social stability.
Features of realized volatility analysis and return predicting based on LGBM and RNN model
Authors: An Zekun , Jiang Kexin , Zheng Jacob Runxi
Published: December 2023

This paper proposes a method of predicting the realized volatility of financial assets using LGBM and RNN models. The study utilizes Convolutional Neural Networks to construct sub-indicators capturing the liquidity and volatility of financial assets. These sub-indicators are used to develop comprehensive measures of liquidity and volatility. Lognormal random walk theory is applied to each asset dimension to price volatility for multiple assets, and the value of European options independent of path is obtained via multiple integration. Monte Carlo method is applied to solve the integral, which becomes inefficient in the case of high dimension and orthogonality. This study also involves leveraging LGB and other models to efficiently exploit data to create high returns and achieve the highest sharp ratio. The current dataset, which comes from a recognized international market maker, includes stock market data that is important for trade execution in the financial markets, particularly snapshots of the order book and executed trades. The study shows that the proposed method can accurately predict the realized volatility of financial assets.
Unity3D-based conference room scene preparation and construction
Authors: Zhang Xiangyu
Published: December 2023

With the continuous development of society, the trend of digitally enabled online teaching is becoming more and more obvious. In order to ensure the quality of online teaching and add fun to education, teacher and student teaching should be combined with virtual scenes. This paper provides a simple example of a virtual classroom for teachers and students by introducing the basic operation of Unity3D engine, the design and construction of conference room scenes, and the implementation of drawing interaction functions and mobile devices porting and script editors to explore the possibility of adding a new form of teaching in 3D virtual space. The test results in this study show that the virtual scene can improve the interactive experience and bring immersion to users, which has some practical significance.
Combine model fine-tuning freezing layers and adaptive filter modulation to implement transfer learning for GANs
Authors: Yang Chen
Published: December 2023

Generative Adversarial Network (GAN) requires more resources to train than other deep learning models and its loss function converges more slowly. For this reason, scholars at home and abroad have proposed a GANS algorithm based on transfer learning, which is applied to fewer samples, thus improving the training effect of GANS algorithm. In this paper, we provide a new way to perform the transfer of genetic algorithms and combine the two ways. On this basis, we will compare and analyze a variety of transfer learning algorithms to verify the feasibility and effectiveness of the joint application.
Rumor detection methodology based on sentiment analysis and the transformer model with decision-level fusion
Authors: Zhong Zhengqiao
Published: December 2023

The use of transformer models in natural language processing (NLP) has gained significant attention in recent years due to their exceptional performance in various language tasks. This paper explores the application of transformer models in rumor detection, the relevant research on rumor detection, the use of transformer models, and the techniques used to boost the models performance. Ultimately, the purpose of this paper is to provide insight into the potential of transformer models in detecting rumors on social media. Unlike other rumor-detecting models, the author adds a sentiment analysis model as a supplement to rumor detection. Also, to address the issue of insufficient information in early-stage comments on rumors, this paper proposes a decision-level fusion method before the output layer, which effectively utilizes information from different sources and minimizes the negative impact of insufficient data sources. The early-stage rumor detection accuracy of the model is greatly enhanced by this method, therefore, the articles main contributions can be regarded as follows: First, this paper proposes a combination of an aspect level text sentiment analysis method according to syntactic features, gated recurrent units, and a self-attention mechanism. Experimental findings demonstrate that, compared to the original model without taking the sentiment analysis method into account, the proposed network model has advantages in accuracy and Macro F1 evaluation indexes. Second, a cross-text rumor-detecting method based on Decision-level fusion is proposed. Its advantage is that when the cross-text data source is incomplete and a certain text is missing, another text can be used to continue the analysis. Experimental findings show the effectiveness of this method in improving the accuracy of emotion recognition by integrating data from different modes. Third, a comparison is conducted between the performance of the Transformer-sentiment model and other related models, Text-CNN, Bi-LSTM, etc. The result shows that this integrated Transformer-sentiment model can not only solve the rumor detection tasks at higher accuracy, but can also overcome the shortcomings of the lack of datasets, which means that the model is more robust, and is able to detect rumors at the early stage of the rumor spreading process.
A study on how to improve the accuracy of auto error correction from voice to text
Authors: Fan Yumo
Published: December 2023

Voice recognition application has been widely used in peoples daily lives. Usually, if people find it inconvenient to directly play the audio in public, or it is too noisy for them to listen to an audio message, they would probably use the voice recognition application in their mobile devices to translate the voice into text, so that they can understand the message clearly. However, there are still various errors and problems occurring during the usage of this common application, for instance, it can be hard sometimes to translate the sound into words correctly. This usually happens when the speaker speaks too fast and pronounces unclearly. Besides, some other factors, such as environmental noise, transmission channel quality, and the radio equipment, would also cause this problem. This paper mainly analyzes the causes of the inaccurate translation problem and some potential improvements to make this function more perfect. In conclusion, to solve this problem, the parity check matrix is a good way, since it can check whether the digits behind each word are still correct. After doing so, the digits will be changed into the correct words syntactically. However, even though the words are syntactically correct after applying the parity check matrix, they might not be semantically correct. Therefore, Levenshtin distance and Latent Semantic Analysis can be used to analyze the hidden meanings of words and sentences, so as to find the best suitable words to change.
Language sense classification model based on neural network
Authors: Gu Letao , Wang Yuxiang , Wu Yihan
Published: December 2023

The common international language, English, is playing an increasingly important role in various fields with the rapid development of artificial intelligence in recent years. Artificial intelligence can improve students' English abilities as an additional teaching tool. Therefore, this study seeks the English language sense between different types of sentences based on Long Short-Term Memory (LSTM) and BERT model analysis sentences and generates a model to distinguish the types. This paper adapts the LSTM model and BERT model: first, this paper crawls the sentences from British Broadcasting Corporation (BBC) documentaries, podcasts, and YouTube and then constructs a data filter to remove the sentences with low quality and short. This paper analyzes the data set through the BERT module and LSTM model. this paper then compares the differences between different sentences in a large-scale corpus to generate a language model without long-term dependence. A model is expected to be generated after corpus analysis, and the model can be used to analyze new input statements and give their types. This study can help English learners improve their sense of the English language and the types of sentences they need to say in the face of different situations.
Drowsiness detection of EEG signals using image-based convolutional neural network
Authors: Hong Yunzhe , Zheng Mingyuan , Li Peiheng , Lyu Xinjie
Published: December 2023

With the continuous development of autonomous driving technology, more drivers relax their attention while driving, resulting in a continuous accumulation of the number of vehicle accidents. The detection of driver's attention can be used as a condition for whether to execute autonomous driving, to help to reduce the probability of major accidents. This study compares the performance of image-based and traditional drowsiness detection trained on the same dataset. Total 5 participants were told to control a computer-simulated train with a 12-channel real-time EEG acquisition device on their heads. We transferred their EEG signals into images with the coordinates of every useful electrode as the training and testing data for our Convolutional Neural Network (CNN). Our results indicated that the CNN model trained on image-based EEG signals achieved much higher accuracy (83.49%) compared with SVM model trained on raw EEG signals, providing an effective method for improving driving safety.
Failure of Surgical Equipoise in Posterior Cord Syndrome Myelopathy
Authors: Bednar Drew A. , Sarraj Mohamed , Nanji Alina Rose
Published: December 2023

We suggest that a clinical diagnosis of posterior cord syndrome indicates primary posterior decompression in cervical spondylotic myelopathy cases. We present two unique cases of failed anterior decompression in neutrally aligned necks with compressive myelopathy and a literature review. Two recent cases of cervical spondylotic myelopathy that failed to respond after anterior surgical decompression and fusion surgery were observed at our institution. Both patients had motor strength preservation but were unable to stand and walk independently and had other clinical findings consistent with posterior cord syndrome rather than the more common anterior or central cord syndromes, and both responded well to staged posterior decompression. Posterior cervical decompression successfully relieved posterior cord syndrome symptoms after a failed anterior decompression in both of our cases. Posterior cord syndrome is a rare syndrome best diagnosed clinically and should be considered in cases of cervical spondylotic myelopathy in which motor strength testing is preserved.
Exploring the antifungal potential of Allium sativum and Ocimum gratissimum against post-harvest fungal pathogens in mango fruits
Authors: Okon Okon Godwin , Ismaila Uwaidem Yakubu , Antia Ukponobong Efiong , Zaheer Muhammad Saqlain , Ali Hafiz Haider , Rhouma Abdelhak
Published: December 2023

Post-harvest spoilage of fruits and vegetables caused by fungal pathogens is a serious challenge to fruit production in many parts of the world. The study was conducted to evaluate the sensitivity of fungal pathogens associated with post-harvest rot of mango fruits to crude extracts from two edible plants, Allium sativum and Ocimum gratissimum, in the study area. Five different fungal isolates were isolated from diseased mango fruits collected from fruit stores in the study area and identified as Aspergillus spp. (M1), Rhizopus spp. (M2), Fusarium spp. (M3), Penicillium spp. (M4), Fusarium spp. (M5), Penicillium spp. (M6), Aspergillus spp. (M7), and Colletotrichum spp. (M8) using radial growth rate and morphological features of the mycelia. A constant concentration of each of the crude extracts was applied to the growth media containing the growing cultures of the fungal isolates. The radial extension of the colonies for each isolate was measured along pre-marked perpendicular axes on the base of the petri dish after 24 h, and this continued for 10–14 days. It was observed that Rhizopus spp., Fusarium spp., Penicillium spp., and Colletotrichum spp. had the least growth rate when treated with the extracts.
Biochemical and histopathological alterations of liver and kidney of Japanese quails due to lead toxicity and effects of vitamin C
Authors: hassan abu , Rahaman toheder , parvez najmul , Ferdous Khadija , sarkar sumon
Published: December 2023

Lead (Pb) is the most dangerous xenobiotic causing variety of negative impacts on human and animal health.The current study intended to investigate the effect of different doses of Pb on biochemical and histological abnormalities in the kidney and liver of quail and the beneficial effects of vitamin C. A total of 72 male quail, aged 12 days were allotted in four groups with four replications. Control group (T0) received normal diet, group T1 and T2 received Pb at a dose of 70 mg and 700 mg/kg body weight (bw) respectively for 21 days, while T3 had 700 mg Pb /kg bw for 10 days followed by only vitamin C supplementation at a dose of 70 mg/kg bw without any Pb for next 10 days. After end of treatment, blood serum was collected, and the kidney and liver were taken for a histoarchitecture study. Significant (p<0.05) Pb-induced elevations of biochemical markers of liver and kidney were observed in different periods of treatment (except d21-period of T3) and decreased following vitamin C supplementation in d21 of T3 (except creatinine).The effect of Pb treatment included congestion, necrotic foci in different organs, reactive cells in central vein, degeneration of hepatocytes, necrosis in the portal area as well as renal tubular degeneration, all of which were slightly improved by vitamin C in group T3. So, the findings suggest that the use of vitamin C could be a potential preventative agent against Pb-induced toxicity.
SİYASAL UZLAŞMA BAĞLAMINDA SİYASİ İTTİFAKLAR: CUMHUR İTTİFAKI VE MİLLET İTTİFAKI’NA YÖNELİK BİR İNCELEME
Authors: KAPUSIZOĞLU Mehmet , YOLCU Tugba
Published: December 2023

Siyasi partilerin temel amacı iktidarı ele geçirmektir. Bu amaç doğrultusunda yürüttükleri faaliyetler çerçevesinde bir ülkedeki mevcut seçim sistemine göre farklı ittifak arayışları gündeme gelmektedir. Türk siyasal hayatı incelendiğinde çok partili hayata geçiş sürecinden sonra 1957 yılında siyasal ittifakları engellemeye yönelik ilk yasal düzenleme gerçekleştirilmiş olmasına rağmen yasal mevzuatın dolaylı yoldan aşılmasıyla siyasal ittifakların oluşturulduğu görülmektedir. 2018 Cumhurbaşkanlığı hükümet sistemine geçişe kadar yasal bir temeli olmayan siyasal ittifaklar 2939 sayılı Milletvekili Seçim Kanunu’nda yapılan değişiklikle yasal zemine kavuşmuştur. İttifak kelime anlamı olarak anlaşma, bağlaşım olarak ifade edildiğinde açık bir müzakere sürecini de beraberinde getirmektedir. Bu müzakere siyasal uzlaşmanın temel şartıdır. Çalışma, Türkiye’de 2018 sonrası kurulan Cumhur İttifakı ve Millet İttifakını siyasal uzlaşma, katılımcılık, güven, ortak hedefler ve uzun vadeli iş birlikleri çerçevesinde değerlendirmeyi amaçlamaktadır. Bu kapsamda Cumhur İttifakı ve Millet İttifakı’nın oluşum süreçleri eleştirel söylem analizi çerçevesinde incelenmiştir. Çalışma sonucunda elde edilen veriler ışığında, örnek olarak seçilen her iki ittifakın temel zeminini ideolojik benzeşme ya da ortak ideolojik zemin oluşturduğu söylenebilir.
FATORES DE RISCO E MEDIDAS PROFILÁTICAS PARA TROMBOEMBOLISMO EM VIAGENS AÉREAS DE LONGA DURAÇÃO
Authors: De Oliveira Michelle Moreira , Holanda Nadia Karyne de Lima , Silva Sthefanie de Souza , Silva Eduardo Valdemar , De Oliveira Jaim Simões
Published: December 2023

Com o crescente aumento no número de ofertas de passagens aéreas, em virtude de valores acessíveis, observou-se concomitantemente maior incidência de casos de tromboembolismo venoso que podem estar relacionados a voos de longo curso. Este estudo caracteriza-se como revisão sistemática integrativa que buscou abordar os principais fatores de risco e as medidas profiláticas relacionadas ao tromboembolismo venoso em viagens aéreas de longa duração. A pesquisa foi realizada, até abril de 2020, nas bases de dados PUBMED com descritores Thromboembolism, “riskfactors”, “airtravel” “prevention and control” e prophylaxis no MESH e na Biblioteca Virtual em Saúde (BVS) com os descritores "air travel" AND "Thromboembolism venous" no DECS considerando o filtro de artigos em inglês e português no período entre 2014 a 2019. É de suma importância conhecer os principais fatores de risco intrínsecos ao passageiro como obesidade, tabagismo, problemas cardíacos, uso de contraceptivos e fatores extrínsecos relacionados à cabine como a localização do assento e umidificação do ar. Além disso, é necessária a utilização de medidas profiláticas como o uso de meias de compressão, indicação para o uso de anticoagulantes, e o incentivo a mobilidade na cabine durante o voo.
UMA ANÁLISE DO IMPACTO FINANCEIRO DA DECISÃO ENTRE ESTACAS HÉLICE E ESTACAS ESCAVADAS NA CONSTRUÇÃO DE GALPÕES INDUSTRIAIS EM MANAUS
Authors: Benzecry Bernardo Samuel , Carvalho Carlos Fábio Cortezão , Pinheiro Érika Cristina Nogueira Marques
Published: December 2023

Alguns fatores no cenário nacional têm levado a indústria em geral e, em particular, o setor da construção civil, a buscar novas perspectivas para se manterem competitivos. A Zona Franca de Manaus, um polo industrial criado na região amazônica voltado para a atração de fábricas, possui um dos mais modernos aparatos tecnológicos e abriga uma vasta linha produtiva. Diante de sua expansão contínua, a otimização da escolha da fundação para galpões industriais nessa região tornou-se um desafio e um objetivo almejado pelas empresas construtoras. Estacas têm sido a solução predominante, com destaque para estacas escavadas e hélice contínua. Esta pesquisa compara ambas considerando variáveis geotécnicas e orçamentárias, baseando-se em dois projetos locais e tem como objetivo orientar decisões futuras no contexto de construção industrial em Manaus.
ANALISIS PENYUSUNAN RPJMD KABUPATEN KARO TAHUN 2021 – 2026 DALAM MEWUJUDKAN VISI PEMBANGUNAN DAERAH
Authors: Elrisa Marsanda Br Ginting  , Fani Magdalena Girsang  , Juli Kristabel Sinaga  , Putri Kemala Dewi Lubis  , Charles Fransiscus Ambarita
Published: December 2023

Penelitian ini bertujuan untuk menggambarkan visi pembangunan daerah Kabupaten Karo serta tahapan dalam melakukan penyusunan RPJMD tahun 2021 – 2026 untuk mewujudkan visi tersebut. Penelitian ini menggunakan metode pendekatan kualitatif dengan teknik triangulasi  untuk menganalisis data dan menggunakan teknik dokumen dalam menggumpulkan data informasi yang diperlukan mendukung. Hasil penelitian ini menunjukkan bahwa RPJMD Kabupaten Karo tahun 2021 - 2026 telah mencerminkan cita – cita dan tujuan Pembangunan di Kabupaten Karo dengan mempedomani visi dari kepala daerah. Visi Pembangunan Daerah yang telah dituangkan dalam RPJMD ini telah memenuhi kriteria penulisan dengan memperhatikan aspek kondisi umum daerah, visi yang jelas, memiliki batas waktu pencapaian, singkat dan padat. Terpenuhinya kriteria tersebut memberikan kemudahan bagi perangkat daerah dalam menyusun RKPD dan memudahkan seluruh lapisan masyarakat memahaminya agar ikut berpartisipasi dalam mewujudkannya. Tahapan dalam penulisan RPJMD tersebut melibatkan proses yang terstruktur dengan mengikuti panduan pola penulisan Permendagri Nomor 54 Tahun 2010.
HUBUNGAN ANTARA PERILAKU IMPULSIVE BUYING DENGAN SUBJECTIVE WELL-BEING PADA DEWASA AWAL
Authors: Jollyn  , Debora Basaria
Published: December 2023

Berkembangnya dunia pemasaran membuat banyak Perusahaan yang melakukan pemasaran dengan ide-ide yang unik dan dapat menarik pelanggan untuk membeli barang produksinya. Hal ini juga menyebabkan kemunculan fenomena impulsive buying, menurut beberapa studi impulsive buying sendiri dapat menimbulkan emosi negatif bagi individu sehingga memiliki dampak yang buruk untuk kehidupan sehari-hari. Impulsive buying sendiri juga sering dialami oleh individu dewasa awal. Oleh karena itu penelitian ini memiliki tujuan untuk melihat apakah terdapat hubungan antara impulsive buying dengan subjective well-being pada dewasa awal. Penelitian ini menggunakan jenis penelitian kuantitatif dan menggunakan teknik nonprobability sampling dengan metode snowball secara online sesuai kebutuan peneliti. Partisipan dari penelitian ini juga terdiri dari 366 partisipan yang memiliki rentang umur 18-25 tahun. Alat ukur yang digunakan untuk mengukur impulsive buying adalah Impulsive Buying Tendency Scale (IBTS) sedangkan subjective well-being menggunakan alat ukur Satisfaction with life scale (SWLS) dan positive affect and negative affect scale (PANAS). Hasil penelitian yang didapat juga menunjukkan bahwa terdapat hubungan negatif antara perilaku impulsive buying dengan subjective well-being, dengan nilai  r= -.140 dan p= .007 < .05. Hasil lain yang didapatkan juga terdapat hubungan positif antara impulsive buying dengan emosi negatif dan terdapat hubungan yang negatif antara impulsive buying dengan kepuasan hidup dan emosi positif. Hal ini menyatakan bahwa semakin rendah impulsive buying maka semakin tinggi subjective well-being.
MENGUKUR SENTIMEN ASN: TINJAUAN KEPUASAN ASN TERHADAP PERENCANAAN STRATEGIS DALAM PEMBANGUNAN INFRASTRUKTUR PEMERINTAH DAERAH DI KABUPATEN PAMEKASAN
Authors: Ima Kumalasari  , Laily Akbariah  , Catherine Eugene Natasha  , Durratun Nashihah
Published: December 2023

Sumber daya aparatur pemerintah menempati posisi strategis menentukan arah kemana suatu daerah akan dibawa. Sehingga pengembangan infrastruktur sebagai prioritas utama pemerintah daerah menghadapi sejumlah tantangan, termasuk keterbatasan anggaran, kekurangan sumber daya, penundaan proyek, dan dampak investasi infrastruktur. Penelitian ini menganalisis kesesuaian RENSTRA Pemerintah Daerah dengan kebutuhan infrastruktur dan dukungan terhadap inovasi, terutama teknologi. Metode penelitian kualitatif deskriptif dengan wawancara ASN mengungkap bahwa sebagian besar ASN mendukung pelaksanaan proyek sesuai RENSTRA, mencerminkan implementasi rencana strategis pemerintah daerah. Masih ada keprihatinan terkait dana pemeliharaan infrastruktur yang memerlukan alokasi yang memadai untuk jangka panjang. Pengaturan pagu di RENSTRA perlu disesuaikan dengan kebutuhan OPD. Evaluasi berkala dan penyesuaian dengan perkembangan kebutuhan menjadi kunci dalam keberhasilan pembangunan sesuai RENSTRA. Di Kabupaten Pamekasan, perlu fokus pada pengembangan infrastruktur jalan untuk mendukung pariwisata dan ekonomi. Partisipasi aktif masyarakat dalam perencanaan dan pelaksanaan proyek diimbangi dengan peran strategis BAPPEDA dalam mengkoordinasikan perencanaan infrastruktur dan alokasi anggaran.  Pemantauan dan evaluasi yang terus menerus terhadap alokasi dana pemeliharaan infrastruktur menjadi penting untuk memastikan keberlanjutan proyek sesuai RENSTRA. Demikian, pembangunan infrastruktur yang sesuai dengan rencana strategis berdampak positif pada pertumbuhan ekonomi, kualitas hidup masyarakat, dan kesejahteraan komunitas. Upaya untuk perencanaan yang bijaksana, partisipasi masyarakat, dan alokasi dana yang memadai adalah langkah penting dalam mencapai tujuan ini.
PENGARUH PENGHARGAAN FINANSIAL, DAN PERTIMBANGAN PASAR TERHADAP PEMILIHAN KARIR SEBAGAI AKUNTAN PADA MAHASISWA AKUNTANSI UNIVERSITAS PAMULANG
Authors: Aryanto  , Muhamad Luthfi Muttaqin
Published: December 2023

Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh antara penghargaan finansial, dan pertimbangan pasar pada pilihan karir sebagai akuntan dan penelitian ini juga bertujuan untuk menyajikan gambaran mengenai kesiapan mahasiswa dalam memilih karir, terutama bagi mereka yang mengambil jurusan akuntansi di Universitas Pamulang. Penelitian ini menggunakan metode kuantitatif dengan menggunakan kuesioner. Teknik pengambilan sampel yang diterapkan adalah Purposive Sampling, menghasilkan 30 responden dalam penelitian ini. Hasil menunjukkan bahwa faktor penghargaan finansial dan pertimbangan pasar memainkan peranan penting dalam pemilihan karir seseorang, khususnya dalam profesi akuntan. Teknik analisis data yang digunakan adalah analisis regresi berganda. Berdasarkan hasil tersebut penelitian ini menyimpulkan bahwa penghargaan finansial dan pertimbangan pasar secara bersama-sama memiliki pengaruh positif dan signifikan terhadap pemilihan karir sebagai akuntan. Hal ini dibuktikan dengan nilai F hitung sebesar 10,975 dan nilai signifikansi sebesar 0,001. Secara individual, penghargaan finansial tidak mempengaruhi secara signifikan pemilihan karir sebagai akuntan, namun pertimbangan pasar memiliki pengaruh yang signifikan.
Birthday Bash, Last Blast
Authors: Radley Milford
Published: December 2023

Porsche 911 S/T/Lotus Emira i4
The Teaching Principal: An Untenable Position or a Promising Model?
Authors: Newton Paul M. , Wallin Dawn
Published: December 2023

This paper reports on an interpretive study that examined the role of the teaching principal, particularly as it relates to principals’ moral and legal requirement to work as instructional leaders for student learning. A teaching principal is defined as a principal who has a “double load” or dual roles in teaching and administration (Clarke & Stevens, 2009). In this study, we explored the constitution and effects of this role on individuals and leadership practices of 12 rural teaching principals in Alberta and Manitoba. Findings reflect the need to develop policies that sustain the smaller schools which depend upon administrators capable of thriving in this dual role. Additionally, the way in which teaching principals practice as instructional leaders promises to enrich the literature on instructional leadership. Specifically, the practices that emerge through the teaching principalship are a unique adaptation of existing conceptualizations that offer considerable advantages over those that presuppose a full-time administrative appointment. Cet article rend compte d’une étude interprétative portant sur le rôle du directeur enseignant, notamment par rapport à l’exigence morale et juridique qu’ont les directeurs de travailler comme leaders pédagogiques. Un directeur enseignant en est un qui a une « double charge », qui joue deux rôles, un en enseignement et un en administration (Clarke & Stevens, 2009). Dans cette étude, nous avons exploré la création et les effets de ce rôle sur les individus et sur les pratiques de leadership de douze directeurs enseignants en milieu rural en Alberta et au Manitoba. Les résultats reflètent la nécessité de développer des politiques qui appuient les plus petites écoles qui dépendent d’administrateurs en mesure de prospérer dans le contexte de ce double rôle. De plus, les pratiques qu’emploient les directeurs enseignants dans leur capacité de leaders pédagogiques promettent d’enrichir la littérature sur le leadership pédagogique. Plus spécifiquement, les pratiques qui ressortent des pratiques des directeurs enseignants constituent une adaptation unique des conceptualisations existantes, une qui offre un nombre considérable d’avantages par rapport à celles qui présupposent un poste administratif à temps plein.
Escrileituras docentes: Por que escrevo?
Authors: Gomes Larissa Ferreira Rodrigues , Moura de Faria Izaque
Published: December 2023

O presente artigo se constitui por encontros formativos tramados em redes de conversações e ações complexas (CARVALHO, 2009) com docentes em torno da pergunta: por que escrevo? Uma pergunta que mobilizou docentes – atuantes em turmas de 4º ano do ensino fundamental público e municipal de Serra, Espírito Santo – a problematizar e expandir seus conceitos de escrita e leitura na educação, provocados por signos artísticos e pelo exercício da escrita. Metodologicamente se baseia na cartografia (DELEUZE; GUATTARI, 1995), uma performance de pesquisa composta que acompanha os processos de subjetivações. Mobiliza como instrumentos de produção de dados: as narrativas e as oficinas de escrileituras docentes, ao convocar a escrita de si por meio da produção textual durante os encontros formativos. Como intercessores teóricos, recorre aos estudos de Corazza (2012), Foucault (2008), Deleuze (2003) e Larrosa (2002). Como considerações emergentes, destaca que os encontros formativos docentes desejam se desenvolver de modo conectado ao cotidiano escolar, politicaspráticas coletivas. Indica ainda os múltiplos agenciamentos que atravessam as práticas pedagógicas e a relação de escrever e ler por professores, o que fortalece a possibilidade da insurgência docente como escrileitora de si e do mundo, pois força a pensar a educação diferentemente do que se pensa.
Transição para o ensino superior: conhecimento das oportunidades de ensino superior dos alunos do ensino médio de escolas públicas de Nova Andradina
Authors: Bortoluzzi Mirian , Cristina Mendanha Reis Barbará
Published: December 2023

Este trabalho descreve e analisa resultados de um projeto de extensão, cuja finalidade fora apresentar o campus da Universidade Federal de Mato Grosso do Sul (UFMS) para os concluintes do ensino médio público de Nova Andradina, interior de Mato Grosso do Sul. O estudo busca identificar as características e razões por trás do conhecimento, ou falta dele, das oportunidades de ensino superior entre esses alunos. A discussão se baseia nos dados coletados por meio de 310 questionários aplicados entre os meses de agosto e novembro a estudantes de seis escolas públicas da cidade em 2018. Utilizou-se o software SPSS® v20 para realização de estatística descritiva e testes não-paramétricos (Qui-quadrado e Fisher). A análise revelou que, dentre todas as variáveis consideradas, a renda dos alunos foi a única que demonstrou uma distinção significativa em relação ao conhecimento das oportunidades de ensino superior na cidade. Essas descobertas podem orientar estratégias educacionais que visam aumentar o acesso ao ensino superior em regiões semelhantes, auxiliando na redução das desigualdades educacionais.
Horário de formação continuada em Serviço: um olhar a partir de uma rede municipal de ensino de ensino
Authors: Neves Félix Célia , Pereira Tarcísio Luiz
Published: December 2023

Este artigo trata da formação docente em serviço a partir de um município no interior do Estado de São Paulo. Estabelece como objetivo geral discutir o horário de formação continuada em serviço (HFCS) e o papel da coordenação pedagógica neste processo. Para tanto, ancora-se teórica e metodologicamente numa abordagem de pesquisa qualitativa com aporte na análise de conteúdo e documental, aplicando de entrevistas semiestruturadas com coordenadoras pedagógicas. Os resultados apontam que este espaço de formação tem sido exercido sob a égide da supervisão, fiscalização e controle, ainda que com envolvimento de docentes e da coordenação na dinâmica de participação e de treinamento em serviço (com característica de formação). Há uma intensificação da precarização do trabalho das professoras coordenadoras pedagógicas, por meio de políticas neoliberais, privatistas e mercadológicas na e da educação. O que está em curso é uma desprofissionalização do papel das coordenadoras ainda que esta profissional seja de fundamental importância no âmbito escolar e que a conquista desse horário de formação deva ser garantindo aos docentes.
Índice de dissimilaridade entre estudantes com necessidades educacionais específicas em Mato Grosso do Sul
Authors: Verão Françozo Rafael , Mendes Fonseca Fabiciana , Pedrosa de Camargo Flávia
Published: December 2023

Este estudo objetiva verificar se existiu ou não segregação de alunos com Necessidades Educacionais Específicas (NEE) em relação a alunos sem NEE no estado de Mato Grosso do Sul (MS) no período entre 2011 a 2020. Para atender a tal objetivo, a segregação foi calculada por meio do índice de dissimilaridade –  utilizado para medir o quanto duas populações estão segregadas, em duas ou mais unidades espaciais – considerando estudantes com e sem NEE como populações e as escolas como unidades espaciais. Esse índice foi calculado para cada município de MS nos últimos 10 anos, com base nos microdados do Censo Escolar. Os resultados indicam para uma diminuição na curva de segregação dos alunos com NEE no estado em geral com notável redução dentro dos municípios polo da educação inclusiva. Entretanto, em municípios como Aquidauana, Anaurilândia, Camapuã, Ivinhema, entre outras, observou-se um significativo aumento no índice calculado.
Avaliação do desenvolvimento das habilidades motoras de crianças das escolas rurais de Rio Verde – GO
Authors: Jesus Jovair Batista de , Silva Jesiel Souza , Dditomazo Aline , Vieira Andreza Alves
Published: December 2023

Este trabalho objetiva avaliar o desenvolvimento das habilidades motoras das crianças das escolas rurais do município de Rio Verde – GO. Trata-se de uma pesquisa de campo exploratória realizada com 25 crianças de 9 a 10 anos, que nunca viveram na cidade. Foi utilizado o Test of Gross Motor Development - TGMD-2 de Ulrich (2000), que a partir de dois sub testes avaliou-se o controle da locomoção e da manipulação dos objetos. A análise quantitativa dos dados revelou que as crianças que vivem e estudam no meio rural tem desenvolvimento classificado na “MÉDIA”. A análise do Quociente do Desenvolvimento Motor Grosso – QDMG mostrou que o desenvolvimento dos meninos é superior ao apresentado pelas meninas. Quanto ao perfil de desenvolvimento motor relacionado à idade, ambos os gêneros estão acima da média esperada para a idade, o que pode estar relacionado à qualidade das experiências corporais vivenciadas nos ambientes em que se relacionam.
Ensino Superior: uma revisão bibliográfica sobre a relação professor-aluno
Authors: Da Costa Sousa Anayllen , Loiola Ane Ellen da Costa Sousa
Published: December 2023

A relação professor-aluno influência e contribui para um melhor aproveitamento da disciplina e do curso e promove uma melhor aprendizagem. Ademais, o ensino superior no Brasil foi iniciado no período do império com a corte portuguesa. Sendo que uma boa relação professor-aluno pode promover uma boa adaptação no ensino superior, assimilação de conteúdos e a construção de uma visão crítica. Justifica-se a escolha deste tema devido à importância da relação professor-aluno, e por ela possibilitar uma melhor aprendizagem e desenvoltura. O objetivo geral é investigar a importância da relação professor-aluno no contexto educacional do ensino superior. E tem como objetivos específicos: analisar o processo de ensino-aprendizagem no ambiente escolar; identificar os principais fatores que influenciam a relação professor-aluno; avaliar a percepção dos estudantes em relação à relação professor-aluno; e propor estratégias e práticas que possam melhorar a relação professor-aluno e, consequentemente, o aprendizado dos alunos. Para isso, foi realizado uma revisão de bibliográfica de livros e artigos científicos sobre a relação professor-aluno no ensino superior, utilizando como base de pesquisa as principais bases de dados acadêmicas. Concluiu-se que a relação professor-aluno promove motivação e proporciona uma aprendizagem mais eficaz, devido o professor ter como responsabilidade ir além do ensino de conteúdos fechados, logo, estimula no aluno uma visão crítica e a assimilação ativa dos conteúdos. Portanto, no ensino superior o professor também apresenta um papel fundamental no desempenho e aprendizagem do aluno, por meio de uma boa didática e desenvolve com mais eficácia a aprendizagem.
AI Transformation in Business: Unveiling the Dual Effects of Advancement and Challenges
Authors:   D Y Patil International University. Akurdi, Pune, Modhoriye Prajot , Yadav Pratik , Jadhav Dr. Sarika
Published: December 2023

Abstract-Artificial Intelligence (AI) is revolutionizing the business landscape with two positive and negative consequences. On the positive side, AI drives operational efficiency, cost reduction, and innovation. It leads to increased automated repetitive tasks, improves data analysis, and enhances customer experiences, productivity, and Customer loyalty. AI's data-driven insights enable better decision-making and risk management, ensuring adaptability in dynamic markets. Conversely, the rapid integration of AI raises job displacement concerns, particularly in lower-skilled roles. Ethical dilemmas, including privacy breaches and algorithmic bias, emerge due to AI's reliance on data. The misuse of AI for deepfake videos and security threats poses additional risks. Businesses must navigate this dual-edged impact by harnessing AI's potential for growth and cost-efficiency while mitigating its adverse effects. Ethical considerations and regulatory frameworks are paramount in ensuring AI's responsible and balanced integration into business operations.