bluuebunny/crossref_metadata_2025 huggingface dataset:
USE OF BAMBOO AS THE ARTWORK MEDIA FOR THE STUDENTS AT SENIOR HIGH SCHOOL
Authors: Pantow Tirza Paula , Rantung Ruly , Mangare Jans G.
Published: December 2023

One aspect that is considered a sign of a school's progress is its ability to adapt to technological developments. SMA Negeri 1 Kumelembuai is an example of a school that has successfully adapted to technological developments. Even though adequate technological learning facilities are available, it is not certain that students can become creative individuals without the guidance of teachers who also have high creativity. This has proven important in developing students' potential through creative and innovative learning approaches. The present study aims at describing the the fine arts learning at SMA Negeri 1 Kumelembuai where the the students used bamboo as the artwork media. This research amployed a qualitative approach as a research method. The reason for choosing a qualitative approach is because this approach allows researchers and research subjects to interact during the research process, which allows changes and development of the research design. The results of this research show that the use of bamboo waste as a medium for creating art by class X at SMA Negeri 1 Kumelembuai is a new innovation, with the potential to produce works of art that can be developed into a home industry.
MUSICAL INCULTURATION IN MASS CELEBRATIONS IN THE CATHOLIC CHURCHES OF THE TOMOHON ARCHDIOCESE
Authors: Waruwu Martinus , Rumengan Perry
Published: December 2023

This study aims to explore how the implementation of Musical Inculturation takes place during Mass in the Catholic Churches within the Tomohon archdiocese. Employing a qualitative descriptive method, data for this research is derived from interviews, photographs, and audio as well as video recordings. The theoretical framework encompasses musicology, music psychology, theology, ethnomusicology, and the Theory of PML, asserting that inculturation involves several stages, including translation, transition, adaptation, and the creation of new elements. The study substantiates that Inculturation in the Tomohon Archdiocese is widely embraced by the congregation, enhancing their faith, particularly during liturgical celebrations of the Mass. The infusion of culture into the liturgy deepens the congregation's connection with the divine, and according to the research findings and interviews with the congregation, it is evident that the presence of enculturated music in the Church has heightened the meaning of liturgical celebrations for the congregation. The enthusiasm among the congregation is notably high, and there is a consistent longing for the divine presence. The congregation expresses joy as the profound values of culture are accorded a special place in the Mass.
THE FUNCTIONS AND FORMS OF RODAT ART PRESENTATION IN KAMPUNG JAWA TONDANO (JATON)
Authors: Karundeng Fafri Epafras Daniel , Sunarmi Sri , Takalumang Luccylle
Published: December 2023

This research aims to examine the functions and forms of Rodat art in Desa Kampung Jawa Tondano (Jaton), North Tondano District, Minahasa Regency. This research uses a descriptive qualitative approach with data collection methods through literature review, interviews, and document analysis. The research findings reveal the following aspects: First, the history of Rodat art in Jaton is closely related to the exile of Kiay Modjo and his friends who brought and taught traditional arts, including Rodat art. As a second point, Rodat art in Kampung Jawa Tondano has a service dimension for both private and public purposes, with individual tasks that include the fulfillment of material and psychological requirements. The religious, communicative, educational and recreational purposes of Rodat art in Jaton have significant relevance for the community. Third, the presentation structure of the Rodat art performance in Kampung Jawa Tondano involves elements such as presentation order, stage design, props, costumes, amplification, and lighting. The first recommendation is addressed to the Minahasa Regency Government, especially the Education Office, to include Rodat art in the school curriculum of Kampung Jawa Tondano. The second goal is to support the continuity of the Rodat art tradition in Kampung Jawa Tondano by inspiring the next generation to appreciate and practice this art.
Reducing heavy metal (Zn, Cu) toxicity in a semi-arid area by halophytes
Authors: Chafika Rezkallah , Amara Djilani Ghemam , Rahima Gabili
Published: December 2023

This work is the subject of a study of the effect of Atriplexhalimus on the variability of the percentage of certain heavy metals in the region of Boukhadra-Ouanza north of Tébessa, which is characterized by the proximity of an ancient mining area and with different levels of salinity. Where we made field trips, the first to know the area and determine the sampling locations, and the second to take samples. The latter (soil surrounding the roots of the cut plant and soil without vegetation at a distance of one meter), then after we measured the salinity standards (electrical conductivity and the percentages of certain heavy metals. The samples were analyzed at the Geology Laboratory, Faculty of Nature and Life Sciences, University of Tébéssa, where soil CE calculated and compared to the percentage of heavy metals (zinc and copper) in the soil. The results showed the presence of a significant proportion of heavy metals such as zinc and copper, especially in the third study area, which is considered high by World Health Organization standards and to acceptable standards, because the latter is located near an abandoned mining area, unlike the high salinity factor in the first and second areas.
Efeitos de uma Intervenção Psicológica no Estresse, Ansiedade, Concentração e Desempenho Físico em Bailarinas
Authors: Goulart Bittencourt Isabella , De Campos Daniele , Isquierdo de Souza Juliana , Becker da Silva Andressa Melina
Published: December 2023

Bailarinos sofrem pressões por bons desempenhos, tendo em vista que em nível profissional sua prática é performática e exige resultados. Avaliar e intervir com essa população, portanto, se faz necessário. Objetivou-se avaliar os possíveis efeitos de uma intervenção psicológica nos níveis de estresse, ansiedade, concentração e desempenho físico de bailarinas adultas. Participara do estudo onze bailarinas com idade entre 18 e 23 anos, que competiam nacional e internacionalmente na modalidade Jazz. Foram realizadas 14 sessões com duração média de 50 minutos cada, uma vez por semana. Trabalhou-se com psicoeducação, estabelecimento de metas, controle de estresse, ansiedade, atenção e concentração, entre outros. Com o uso de testes específicos (Escala de Percepção de Estresse, Teste de Ansiedade de Competição Esportiva, Teste de Atenção Seletiva e desempenho físico através de banca julgadora) antes e após a intervenção percebeu-se melhora da ansiedade e concentração, assim como aspectos do desempenho físico, como qualidade técnica, tempo musical e performance geral. Ressalta-se a importância do acompanhamento psicológico, desde a avaliação até a intervenção, não apenas para melhorar o desempenho, mas também a saúde e qualidade de vida desta população.
Code peer review workshop: towards more reproducible and reliable research
Authors: Vriend Stefan , Burant Joseph
Published: December 2023

This presentation is an introduction to a workshop we hosted for the Open Science Community—Wageningen's (OSC-W) lunchtime seminar series. In the presentation, we provide a brief overview of SPI-Birds, the CoreBirds project, and motivations and considerations for code peer review. We then introduce an interactive session in which participants are asked to select a paper and corresponding code, then implement a stepwise code review checklist. All workshop materials as hosted or linked to in an Open Science Framework project, which is publicly accessible: https://osf.io/5ykhq
A new member of the spider-parasitoid genus Panops Lamarck, 1804 (Diptera: Acroceridae) from Kangaroo Island
Authors:   University of Adelaide, Glatz Richard V ,   South Australia Museum,   D'Estrees Entomology and Science Services
Published: December 2023

Panops (Diptera: Acroceridae: Panopinae) is a distinctive genus of "spider fly" previously known from eight species occurring in Australia, and one species from Indonesia. Herein, another species is described, Panops infrequens sp. nov., currently known from one female specimen collected near Seal Bay on Kangaroo Island (South Australia) in 2008. This is the first record of Panops from Kangaroo Island and the tenth species of the genus to be described. The biology of this species is unknown, however, extant members of Panops are thought to be endoparasitoids of Mygalomorphae.
Aerodynamic designs in FORMULA ONE cars
Authors: Li Tianyu
Published: December 2023

To many of us, FORMULA ONE (F1) racing is an expensive sport that requires high-level entry requirements. However, compared to its value for entertainment purposes, the significance of its technological contribution to transportation in all different areas is enormous. This study focuses on understanding the physics and implementation behind aerodynamic designs in modern F1 racing cars. For this purpose, this research is conducted by analyzing the structure of the individual parts and their integrated effects on F1 aerodynamic performance. The result revealed that generating appropriate vortices around the boundary flows and guiding the airflow in an optimized direction can boost the performance of F1 cars. This study emphasizes the importance of utilizing airflow control for maximum maneuverability and might benefit many transportation-related industries.
Concurrency control in tree data structures
Authors: Du Xinyang , Liu Yingzhe
Published: December 2023

With the increasing amount of data, there is a higher demand for fast access to data. Therefore, tree data structures are popular because they can quickly access data. In addition, with the increase of the cores of computer microprocessors, the tree data structure that can be concurrently controlled may be one of the most effective data structures today. However, there is still a lack of a summary of the differences in the data structures of various trees. Therefore, this paper collects code structures of different types of trees and then comments on the speed of various tree data structure types concerning parallel processing situations. The study covers the structure and performance of different kinds of trees and summarizes the method of concurrent control of these data structures. This paper can help to clearly understand the relationships and differences between various tree data structures and help them quickly learn the application of concurrency control in trees.
Autoencoders and their application in removing masks
Authors: Liu Zixiang
Published: December 2023

Images are frequently distorted by noises that have a negative impact on the quality of image data. In this study, the author focuses on coping with a specific type of noise that has arisen regularly in recent years as a result of the pandemic: masks covering portions of the photographs of human faces. The paper employs the autoencoder model, which offers unsupervised learning. It compresses or encodes original data input into a smaller latent vector, then decodes it back to its original size, learning and extracting relevant features from the data in the process. In a further phase, the author employs a combination of convolutional autoencoders and denoising autoencoders, treating masks as corruptions in order to get more accurate predictions regarding the image of a human face without any covering. After training on 2,500 image pairs with and without masks and validating on 200 such image pairs, the model presented in this research achieves an overall accuracy of 93%. The research demonstrates that the combination of convolutional and denoising autoencoders is an excellent method for removing masks from facial images, and the author believes it can also be used to effectively remove other types of noise. However, the study also reveals that the picture data generated in this manner are always inferior to the original, and that the autoencoder can only process data of the same or comparable type on which it has been trained. In the future, improved models will exist to address these shortcomings and be applied to more real-life situations.
CycleGAN with auxiliary classifier for chinese calligraphy style transfer and font classification
Authors: Feng Rui
Published: December 2023

As a minor field that remains traditional, few have tried to integrate machine learning with Chinese calligraphy. This ancient form of visual art, on the contrary, is a considerable stage for computer vision. The numerous preservations of Chinese calligraphy make the rich context for machine learning studies that potentially make the field more valuable both aesthetically and pedagogically. This study transfers between stone inscriptions and ink marks, two unique forms of Chinese calligraphy, and classifies the fonts of the pieces. The model of this study is based on the outline of CycleGAN, a powerful generative algorithm for image style transfer. An auxiliary classifier, whose loss is trained together with the GAN loss and the cycle consistency loss, is deployed on the discriminator of CycleGAN, enabling the network to function as a classifier simultaneously. The model succeeds to convert the forms of stone inscriptions and ink marks, with the properties of each style vividly presented. It also successfully optimizes both the discriminator loss and the classification loss, showing the practicability of an auxiliary classifier on CycleGAN. This study points to a decent potential for further combinations of machine learning techniques with Chinese calligraphy studies, to make the job more versatile and detailed.
TSGAN: Individual treatment effect estimation for multi-intervention with continuous dosage
Authors: Lu Houhan , Zhang Xinyu , Bu Evan , Zhu Ruisi , Jiang Yifeng , Tian Peifan
Published: December 2023

In recent years, causal inference has achieved great results in recommendation systems, causal chain analysis, and individual treatment effects. The individual treatment effect (ITE), also known as the complier average treatment effect (CATE), is the focus of research in the medical, economic, and political fields. Its purpose is to solve the problem that it is impossible to predict an intervention's impact on individuals when interventions effects vary due to individual differences. Today's research focuses on estimating the counter-fact, that is, predicting the difference in treatment effect between individuals receiving one treatment and receiving another treatment. However, the above study was limited to two interventions and did not consider the issue of therapeutic dose. In this paper, a method combining both the idea of matching that prevalent in traditional ITE estimation, and a generative adversarial neural network (GAN) is proposed to achieve individual effect estimation under multi-intervention with continuous dosage intervention. This paper first proposes the idea of treatment effect space (TES), and proposes a neural network based on GAN, uses an improved discriminator, which takes a different approach from common GAN, using multiple discriminators in parallel structure to achieve discrimination of true samples from treatment space. The model was tested and validated under semi-simulated data.
A review of multi-load radio energy transmission
Authors: Song Yigeng
Published: December 2023

In recent years, the multi-load magnetic coupling radio energy transmission technology has become a research focus, among which the system topology is a key research content, which determines whether the technology can meet the needs of different application scenarios. This paper uses literature analysis to sort out and analyze the topology of multi-load magnetically coupled radio energy transmission system An effective classification method is proposed, which is helpful to provide a reference for the related research on the topology of multi-load WPT systems. Firstly, the topologies of multi-load magnetically coupled radio energy transmission systems are classified. Then, the working principles, advantages and disadvantages of the main topologies are introduced. Finally, the problems faced by the topology of multi-load magnetically coupled radio energy transmission system are presented, and the future development trend is prospected.
Identification and processing of in-ear acoustic signals
Authors: Guo Benyuan
Published: December 2023

Hearing is the sound depiction of the world for human beings. The ear, or in other world, the peripheral organ of hearing, is an important physiological structure and basis to produce hearing. In order to learn more about hearing organs, the first thing required to know is how hearing is formed, as well as how sound is perceived by us. For this purpose, this paper will examine the matter of identification and processing of in-ear acoustic signals. The main content of this paper are principles of sound, hearing, and signal encoding, as well as their usage in a model which describes the neuron system in cochlear nucleus. In addition, this paper puts forward an application of in-ear signal identifying in hearing aids and cochlear implants by using the convolution signal encoding mode to improve the sound recognition function of these devices and further improve the lives of the hearing impaired. In the end, basic conceptions and related knowledge are organized in this paper. The meanings and problems of this paper are also mentioned in the last section.
Analysis of emotion recognition based on brain-computer interface technology
Authors: Wu Ruohan
Published: December 2023

The lifetime prevalence of social anxiety disorder is pretty high, and Brain-computer Interface (BCI) technology has become the main solution to the above problems. In order to solve this problem, this paper firstly introduced the sentiment classification and the theoretical basis of BCI emotion recognition, and bring up the specific mechanism and detailed process of emotion recognition. Secondly the selection of data sets and the detailed process of EEG signal analysis are mainly discussed, including pre-processing, feature extraction, classification of signal recognition, accuracy analysis and so on. Thirdly, the paper summarized some examples of current representative applications and the existing problems, improvements and breakthroughs in recent years. In the end, the future development trend of affective brain-computer interface is prospected. Although the brain computer interface (BCI) emotion recognition is still an immature technology in the initial stage and has so many challenging problems, but this paper wish and believe it can have a brilliant development prospect.
License plate Chinese character recognition based on ViT model
Authors: Zhang Xiaoyu
Published: December 2023

Transformer applications have been widely used in the computer vision field. Many related literatures show that the advantages of the model such as increased receptive field and globality are gradually emerging in image processing. However, with the popularity of the transformer, whether it can compete with the convolutional neural network (CNN) in terms of performance is still questionable and remains to be further studied. This paper will use the most basic structural model in the visual transformer (ViT) to classify and identify Chinese characters that are frequently used in the field of transportation and logistics and compare them with two classical CNN models. The results demonstrate that the performance of the transformer is obviously better than that of the traditional CNN structure, and the final accuracy of character recognition is higher than that of CNN, up to 98.66 %. It fully shows the infinite potential and excellent performance of the transformer in the area of computer vision and has high reliability and generalization ability.
The application of beam-forming technology of wireless power transfer in IIoT (industrial internet of things)
Authors: Ma Yiyao
Published: December 2023

When building the Industrial Internet of Things (IIoT), it is estimated that over 60% of the cost is spent on wiring and installation. The application of wireless data transmission can eliminate some of the cable connections, and the use of wireless technology for power transmission can undoubtedly avoid even more wiring. However, in practice, traditional wireless power transmission technology has disadvantages such as low efficiency and poor reliability. The introduction of beamforming technology can improve the performance of wireless charging in terms of transmission efficiency and transmission distance. The introduction of beamforming technology can improve the performance of wireless charging in terms of transmission efficiency and distance. Considering the influence of the possible relative displacement between the transmitting and receiving devices on the beamforming during the charging process, a charging process model based on beamforming is developed in this paper using ANSYS for a one-to-one dynamic wireless charging scenario. ANSYS simulation software is used to simulate the array antennas, to investigate the electromagnetic field relationship between the antennas and to analyse the effect of beamforming on the efficiency and stability of the system. Combined with the characteristics of the array antennas shown in the simulation results, the use of beamforming in transmitting antennas in wireless power transmission systems can greatly improve the directivity, effectiveness and interference immunity of the system.
Convolutional neural network for classifying cartoon images augmented by DCGAN
Authors: Hu Yuzhi
Published: December 2023

Convolutional Neural Network (CNN) tend to have better results on large data sets and poor performance on small data sets, so the data augmentation is crucial for a CNN to get better performance based on the dataset with limited size. In this paper, Deep Convolution Generative Adversarial Network (DCGAN) was used to augment data to make the AlexNet perform better on an image classification task with small data sets. AlexNet was trained on a small anime face training set with only 160 samples to determine whether the anime face was male or female, and then tested its accuracy on a test set with 240 sample. Then, a pre-trained DCGAN was transferred to train on the male and female training sets respectively. And 2 DCGANs were obtained, one could generate male cartoon faces and another could generate female cartoon faces. The images generated by DCGANs were put in train set, which was used to train AlexNet again and the result was recorded. Other data augmentation methods such as cutout, cutmix and Noise Injection were compared as well. Finally, it is found that AlexNet has the best performance when using the DCGAN augmentation method, which can significantly improve the verification accuracy of the model.
Solving the smallest ball problem based on convex programming theories
Authors: Ji Mingyuan
Published: December 2023

The mathematical method known to be Quadratic Programming is a branch of Convex Programming or Convex Optimization, which is then a peculiar case of Mathematical Optimization given a series of restrictions including a convex function to minimize. The Smallest Ball Problem is a problem where we seek to find the smallest enclosing ball of given points on a plane. Convex Optimization provides a solution to the Smallest Ball Problem. There are several ways to characterize a convex programming problem and its solutions, the most important of which is called the KKT conditions. By relating the Smallest Ball Problem to solving a Convex Programming Problem and using the Python packages, the radius, as well as the central point of the Smallest Ball, will be found. In addition, the underlying algorithm for solving Convex Programming Problems is studied. It can be concluded that Convex Programming, or more specifically, Quadratic Programming, gives a feasible solution to the Smallest Ball Problem.
Research on the mechanical structure and control system of prostheses based on intelligent solutions
Authors: Tian Shuo
Published: December 2023

According to a report released by the World Health Organization in 2011, the number of disabled people worldwide accounts for about 15% of humanity, many of whom are lower limb amputees who lost the ability to walk and climb stairs. However, for various reasons, the proportion of amputees fitted with prostheses or orthotic devices is deficient, and society has a significant demand for prostheses. Since the end of the 20th century, prosthetic intelligence has gradually become the primary goal of prosthesis research. Intelligent prostheses can better restore the function of the inherent limb. There are various solutions for both the mechanical structure and control systems of prostheses, such as stepper motor drives, magneto-rheological liquid intelligent control drives, hydraulic and pneumatic dual-cylinder type drives, and pneumatic device drives. This paper will analyze these solutions and discuss how better integration of different solutions can bring new ideas to the research of intelligent prostheses.
Player identification based on player behavioral characteristics
Authors: Li Hexin , Fang Yizhi
Published: December 2023

In order to maintain a fair competition environment and enjoyable experience for players, millions of dollars have been spent on against cheating in video games. There is limited research on more sophisticated forms of cheating like play-for-hire whereby players pay others to play for themselves. Our work develops a model to identify each player from player behavioural characteristics, which will contribute to solve the play-for-hire problem. Firstly, we recorded interactions between players and the game as multivariate time series. Next, we tried to use CNN and LSTM to classify data as corresponding players and we do some feature processing and parameter optimization to improve our result. We found that LSTM is acting better than CNN in higher dimensions, which achieved an accuracy of nearly 87%.
US recession prediction using statistical and natural language processing methods
Authors: Jiang He , Wang Ruochen , Zheng Jiarui , Fan Yaohao , Liang Qitong , Tian Jiawei
Published: December 2023

This study mainly predicts the recession in the United States. We build our model based on the data of more than ten recessions experienced by the United States since the mid-20th century. Our research can be divided into two parts, one part is a machine learning model constructed using econometrics theory, and the other part is a text analysis model based on natural language processing (NLP) techniques. We collected quarterly data from January 1, 1950, to September 1, 2020, to examine each historical recessionary period. We select key macroeconomic variables such as real GDP growth rate, unemployment rate, and interest rates as variables to build the machine learning model. Depending on the data type and model accuracy, we adopted three models, Support Vector Classification (SVC), Naive Bayes, and Logistic Regression, where the SVC model has the highest accuracy, above 80%. Regarding NLP models, we choose the reports based on Bank of International Settlements central bank speeches (BIS) to complete the relevant analysis. We evaluate bag-of-words and convolutional neural networks in conjunction with Epoch loss to determine how well the model's predictions match the actual data. Although we have debugged the NLP model many times, its accuracy still needs to be higher than that of the econometric model. How to effectively improve the prediction accuracy of the NLP model will be the main problem we hope to solve in the future.
Research on the stability of negative feedback circuit
Authors: Liu Xinai
Published: December 2023

The negative feedback amplifier circuit generally plays a role in stabilizing the signal and improving its accuracy, and is widely used in production and life. Therefore, it is extremely important to discuss its stability. This paper analyzes the advantages and disadvantages of different methods for judging stability through literature analysis, case analysis and comparative analysis, and gives two solutions to improve the circuit stability in combination with the circuit oscillation problem that may occur in actual operation This paper draws a conclusion that the oscillation can be reduced from two aspects: changing the additional phase shift after compensating the capacitance hysteresis or reducing the feedback depth.
An evaluation of reinforcement learning performance in the iterated prisoners dilemma
Authors: Sun Yifan
Published: December 2023

This paper uses recurrent neural network-based reinforcement learning to play Iterated Prisoners Dilemma against different game theory strategies. Multiple experiments are carried out to compare the performance of the reinforcement learning agents, e.g., RL-agent vs. Tit for Tat, RL-agent vs. Grudge, RL-agent vs. Tit for Tat then Defect, RL-agent vs. Cooperate or Defect. It shows that both DQN and PPO agent would receive the highest reward by playing against a Tit for Tat agent in Iterated Prisoner Dilemma. Furthermore, DQN agent would perform better, by receiving higher mean episode reward compared to PPO agent.
Emergency communication service solution based on UAV swarm
Authors: Jiang Jiaxu , Zhu Muyao , Liu Taoran , Li Yongze
Published: December 2023

It has a broad application prospect to provide communication services with UAVs. In this paper, the authors propose an emergency communication service scheme based on UAV swarm, which can provide users with stable network connection to communication services when they are far from the base station. In our design, multiple UAVs will be placed in the middle of the base station and the target area to form a multi-antenna array. Beamforming technology is applied to increase the signal strength through the UAV and transmit the signal from the base station to the target area. Above the target area, we will deploy multiple UAVs using OFDM technology to provide signal relay services for users below. Through simulation and calculation on MATLAB and python, we verify the feasibility and applicability of this scheme.
Comparative analysis of critical factors for BIM adoption in airport
Authors: Liu Runcong
Published: December 2023

Through the review and summary of the previous study, it is found that the construction industry has many inherent problems, and at the same time, with the impact of the coronavirus epidemic swept the world, the intrinsic problems within the construction industry are more prominent, so it is time for the construction industry to apply new technologies to solve the increasingly prominent problems, and BIM technology as an innovative technology that has been widely used in construction industry recent years, the benefits it brings to construction projects are still being explored, but It is found that BIM technology can be applied not only to construction projects, but also to infrastructure projects, so it is also applicable to airport projects, which belong to infrastructure construction. This research summarized a template of BIM roadmap for airport project facilities over the full life cycle, investigated the universal benefits and barriers among case reviews. Provides suggestion to BIM practitioners who confronts barriers for a better BIM implementation effect.
Koroner Arter Hastalığında Doğru Antiplatelet Seçimi
Authors: Yurtdaş Mustafa , Özdemir Mahmut
Published: December 2023

Koroner arter hastalığı yaygın bir kardiyovasküler hastalıktır. Antiplatelet tedavi, koroner arter hastalığının tüm formlarında, özellikle de perkütan koroner girişim uygulanan hastalarda tedavinin temel taşıdır. Güncel antiplatelet tedavi, aterotrombotik komplikasyonların önlenmesinde yüksek düzeyde etkilidir. Kanama riskini artırmadan aterotrombotik olayları daha iyi önleyici özelliklere sahip hem oral hem iv yeni antiplatelet ilaçlar klinik kullanıma girmiştir. Bu makalenin amacı, soru-cevap tarzında oral ve intravenöz antiplatelet ajanların kullanımı hakkında güncel bilgiler sunmaktır.
”Hirvittävät unet”: Käsityksiä pahoista unista 1800-luvun lopun Suomessa
Authors: Kanerva Kirsi
Published: December 2023

Artikkelissa tarkastellaan käsityksiä painajaisista 1800-luvun lopun Suomessa. Tapaustutkimuksen aineistona on Anders Allardtin (1855–1942) vuonna 1886 ilmestynyt tarina Släktingar emellan, jossa Allardt kuvaa uusmaalaisen maaseutuväestön elämää ja ahdinkoja. Tutkimus osoittaa, että aikalaiskäsitys painajaisista muodostui monista ajallisista ja aatteellisista kerrostumista. Vanhempi, kansanomainen käsitys painajaisista ulkoisen painajaisolennon aikaansaamana tilana tunnistettiin yhä. Samoin katsottiin yhä melankolisen luonteen altistavan painajaisille. Tarina ilmentää kuitenkin myös jo psykologisempia käsityksiä, joiden mukaisesti yksilön valveilla kokemat voimakkaat, kielteiset tunteet ja ajatukset sekä ahdistukset aikaansaivat painajaisia. Nämä ahdistavat ajatukset ja tunteet saattoivat olla luonteeltaan niin moraalisia kuin maallisiakin. Pahat unet saattoivat pitkittyessään johtaa myös mielen järkkymiseen. Tässä psykologisemmassakin painajaiskäsityksessä sielu ja ruumis ja niiden sairaudet ja ahdistukset olivat kuitenkin yhä olennaisesti yhtä.
Asiasanat: painajaiskäsitykset, mara, 1800-luku (Suomi), Anders Allardt
Nuoren Pehr Stenbergin levottomat unet (1775–1788)
Authors: Korpiola Mia
Published: December 2023

Artikkeli tarkastelee, miten nuori, papiksi opiskeleva Pehr Stenberg (1758–1824) käsitteli ja kuvasi unia elämäntarinassaan ”Pett: Stenbergs Lefwernes beskrifning”, joka on julkaistu neljässä osassa. Artikkeli fokusoi Stenbergin lapsuus- ja nuoruusvuosiin (1758–1789). Tällöin talonpoikaistaustainen Stenberg jätti perheensä ja koulukaupunkinsa Uumajan opiskellakseen Turun Akatemiassa. Rahoittaakseen opintonsa hän työskenteli vuosia Suomessa kotiopettajana aatelisperheissä, joissa hän rakastui useisiin ylempisäätyisiin naisiin.Pehr Stenberg kirjasi elämäntarinassaan 23 unta, joista 16 oli hänen itsensä näkemiä. Analysoin, millaisia unia hän kirjasi, kuinka ne vaikuttivat häneen sekä millaisia merkityksiä hän ja hänen aikalaisensa unille antoivat. Paikoin analysoin lisäksi sitä, miten Stenberg ja hänen tuttavansa kertoivat ja keskustelivat unista sekä tulkitsivat niitä tilannesidonnaisesti. Koska unia pidettiin potentiaalisesti enteellisinä, unikertomuksilla saatettiin vaikuttaa toisiin ihmisiin. Pohdin myös elämäntarinassa esitettyjen unitulkintojen lähteitä. Stenbergin kirjaamat muut tulevaisuuden ennustukset puolestaan kontekstualisoivat uskoa enneuniin.Pehr Stenberg mainitsi tuli- ja käärmeunet useamman kerran. Niiden katsottiin merkitsevän rakkautta, joskaan tulkinnat eivät pohjautuneet ajan ruotsalaisiin unientulkintaoppaisiin. Haaveet avioliitosta aatelisneidon kanssa lisäsivät Stenbergin unien levottomuutta positiivisten toiveunien ja painajaisten myötä. Stenberg keskusteli monesti tuttaviensa kanssa unista. Vaikka hän toistuvasti kielsi uskovansa niihin, hän kuitenkin kirjasi niitä muistiin varalta, että ne toteutuisivat ja siten muodostuisivatkin enteellisiksi. Ristiriita oli ilmeinen, mutta unet ja enteet on tulkittava epävarman tulevaisuuden hallintakeinoiksi.Asiasanat: varhaismoderni, unet, nuoruus, Ruotsi, Suomi, rakkaus, painajaiset
Renessanssimiekkailua englanniksi
Authors: Ijäs Antti
Published: December 2023

Arvio teoksesta: Guy Windsor: The Art of Sword Fighting in Earnest. Philippo Vadi’s De Arte Gladiatoria Dimicandi. Spada Press 2018. 292 s. ISBN 978-952-7157-37-4.
Käsitehistoriallisia tulkintoja Suomen uskonnollisista ilmiöistä
Authors: Tammela Joonas
Published: December 2023

Arvio teoksesta: Ilkka Huhta & Juha Meriläinen (toim.): Käsitteet Suomen kirkkohistoriassa. Suomen kirkkohistoriallisen seuran toimituksia 242. Suomen kirkkohistoriallinen seura 2021. 253 s. ISBN: 978-952-5031-99-7.
”On selvittävä myös selviytymisestä” – Vastarintanaisen muistelmat keskitysleiriltä ja sen jälkeen
Authors: Perämäki Anna-Leena
Published: December 2023

Arvio teoksesta: Mali Fritz: Elämä jälkeen Auschwitzin. (Toim. Anja Moilanen, Tarja Leinonen-Magd, Kati Mustola & Jarkko S. Tuusvuori) Ntamo 2022. 368 s. ISBN 978-952-215-864-2.
Tilaushistoriakeskus: paikallis- ja tilaushistorioita pian 90 vuotta
Authors: Lahtinen Anu
Published: December 2023

Tilaushistoriakeskus, lyhennettynä TihKe (ent. Paikallishistoriallinen toimisto) perustettiin vuonna 1933, joten se juhlii ensi vuonna 90-vuotista taivaltaan.
THE BENEFITS OF PACS AND ITS LIMITATIONS IN HEALTHCARE SYSTEMS: A LETTER TO THE EDITOR
Authors: Emuoghenerue Ekokidolor , Orhe Omonigho , Ebereghwa Eguono , Anyanwu E
Published: December 2023

NOT NECESSARY
The Nexus between Corporate social responsibility (CSR) dimensions and Sustainable corporate performance (SCP) in the Service-based Enterprises Sector: Zimbabwean managerial insights
Authors: Mapokotera Clara , Mataruka Leo T , Činčalová Simona , Muzurura Joe , Mkumbuzi Walter P
Published: December 2023

This study examines the managerial perceptional influence of economic, ethical, environmental and philanthropic responsibilities on sustainable corporate performance (SCP) in Zimbabwean service companies. It aims to understand how these dimensions of corporate social responsibility (CSR) contribute to the overall social performance of service firms in Zimbabwe from managers' perspective, thereby addressing a gap in the existing literature. Despite the current literature on the positive relationship between CSR and SCP, there is a lack of research on the motivations, challenges and strategies used by the Zimbabwean service sector to engage in CSR activities. The study aims to provide a local perspective by examining the impact of different dimensions of economic, ethical, environmental and community responsibility on SCP. The researchers collected data from 650 senior managers, the unit of analysis, in organisations selected from six sub-strata of the service sector in the Harare region. The measurement items of the online questionnaire related to a mix of stakeholders, legitimacy, and triple bottom line theories that guided the data collection process. The empirical findings highlight the importance of environmental and philanthropic considerations in promoting long-term competitiveness. Companies can use the results to manage their corporate social responsibility activities effectively and tailor their social engagement strategies to local environments and specific company situations. This study adds to the current literature on corporate social responsibility and sustainable corporate performance and provides valuable insights for companies in the service sector in Zimbabwe.
TRANSFORMANDO O ENSINO COM TECNOLOGIA: ESTRATÉGIAS PARA UM CURRÍCULO INOVADOR
Authors: Moreno Megg Cattem , Antonelli Graciane Aparecida Verly , Da Silva Francisco Carlos Souza , Wingler Rosana Maria Furtado de Souza , Batista Rosemeri Liborio Ferreira , Cipriano Luana Marques Oliveira , De Souza Fabrícia Silva Romão , Ferreira Dayane Silverio Alves , Pelages Rodrigo Gonçalves , Barbosa Anna Paula da Silva Rosa
Published: December 2023

Este estudo também visa analisar o impacto das novas tecnologias na motivação dos alunos, explorando como o uso de recursos digitais pode tornar o aprendizado mais cativante e envolvente. Além disso, investiga como a acessibilidade à informação e materiais educacionais online estão democratizando o conhecimento, permitindo que alunos de diversas origens e locais geográficos tenham acesso a uma educação de qualidade. Além disso, este estudo se propõe a examinar os desafios e obstáculos que surgem com a implementação das tecnologias na educação, incluindo questões de segurança digital, a necessidade de formação docente contínua e a preocupação com a privacidade dos dados dos alunos. Outro aspecto relevante abordado é a importância da personalização do ensino, demonstrando como as tecnologias permitem adaptar o currículo de acordo com as necessidades individuais dos alunos, promovendo um aprendizado mais eficaz e significativo. Além disso, este estudo também discute como a integração da tecnologia na educação está preparando os alunos para o mundo digital, desenvolvendo habilidades essenciais para o mercado de trabalho do século XXI. Por fim, a pesquisa aborda a necessidade de políticas educacionais que incentivem e apoiem a integração da tecnologia na educação, bem como a importância da colaboração entre professores, instituições de ensino e órgãos governamentais para garantir uma transição suave para o ambiente digital na educação.
Öğretmenlerin Kader Algılarının Kelâmî Açıdan Değerlendirilmesi
Authors: ŞAHİN Mehmet Kenan , KARAHÜSEYİN Samet
Published: December 2023

Dinî düşünüş ve yaşayışın en canlı soruları ve sorunları arasında kader ile ilgili meselelerin yer aldığı bilinmektedir. İslâm düşünce tarihine bakıldığında kader ile ilgili bazı yaklaşım farklılıklarının siyasî ve itikâdî zemine çekilerek tartışma konusu edildiği görülmektedir. Bu tartışma ortamında da Müslümanlar arasında karşılıklı fikir alışverişi ve anlayıştan ziyade derin ayrılıklar vuku bulmuştur. Halen Müslümanlar birtakım yanlış kader algılarının sebep olduğu sorunlu uygulamalara ve düşüncelere yönelmektedir. Bu durumun kuşaktan kuşağa aktarılması noktasında sorunlu alanları mercek altına almak gerekmektedir. Bu kapsamda bireylerin kader inancını ve algılarını aile ve okul gibi ortamlardan etkilenerek aldığı düşünüldüğünde örgün eğitim kurumlarında din eğitimi veren öğretmenlerin kader inancına yönelik yaklaşım ve tutumlarının öğrenciler üzerinde belirleyici ve etkili olduğu düşünülmektedir. Öğretmenlerin kader algılarının ne gibi neticeler verdiği, nasıl şekillendiği ve meseleye dair ne tür bir hazır bulunuşluk içinde olduklarının incelenmesi, çalışmamızın konusunu ve amacını teşkil etmektedir. Milli Eğitim bakanlığında görev yapan öğretmenlerden oluşan bir örneklem grubuyla yapılan bu araştırmada İHL Meslek Dersleri ve DKAB öğretmenlerinin kader algıları, çeşitli sosyo-demografik değişkenler ve araştırmacı tarafından hazırlanan sorular aracılığıyla test edilmiştir. İHL Meslek Dersleri ve DKAB öğretmenlerinin kader algıları, birbirinden farklı, aralarındaki korelasyonun güçlü ve anlamlı tutulmaya çalışıldığı sorulardan oluşan anket yöntemiyle ölçülmüştür. Neticede elde edilen bulgulara göre örneklem grubu içerisinde mezhebî aidiyet, dinî bilgi, dinin temel referans kaynaklarını doğru yorumlayabilme, kader ile ilgili temel kavram ve yaklaşımları bilme ve bunları doğru kullanabilme gibi sorulara verilen cevapların yoğunluğu dikkate alındığında bazı problemli alanlar olduğu gözlenmektedir. Bununla birlikte örneklem grupta yaş değişkenine bağlı olarak bazı mezhebî konulara yaklaşımlarda anlamlı farklılaşma tespit edilmiştir. Bu durum göstermektedir ki bu ve benzeri çalışmalar neticesinde, İslâm inanç esasları otantik yapısına uygun bir şekilde ele alınmalı ve din ile dinî yorumun arasındaki doğal farklılık muhafaza edilmelidir. Bu çalışmayla birlikte din ile mezhebin nasıl anlaşılması gerektiği gibi bazı yöntemsel hassasiyetlerin önemi daha da artmış görünmektedir.
Hakka Nisbetin Semantik İzdüşümleri: İlla’l-hak, Ene’l-hak ve Ehlü’l-hak
Authors: ARVAS Hamdullah
Published: December 2023

Bu çalışmanın amacı İslam düşüncesinin en önemli teopolitik kavramlarından biri olan Ehlü’l-hak ya da Ehl-i hak kavramının anlaşılma biçimleri üzerinde belirleyici olan dinî, siyasî ve kültürel faktörlerin rolünü ortaya koymak, bu bağlamda Ehl-i hak kavramının geçirdiği anlamsal değişimi, bir bakıma hakka intisabın semantik izdüşümlerini tespit etmektir. Ehl-i bâtıl kabul edilen Ehl-i şirk, Ehl-i kitâb, Ehl-i bid‘at ve Ehl-i hevâ kavramları ile karşılaştırmalı gerçekleştirilen çalışmada Ehl-i hak kavramının çok katmanlı bir anlam yelpazesine sahip olduğu tespit edilmiştir. Söz konusu anlam yapısının teşekkülünde birkaç kritik dönemden söz edilebilir. Bu dönemlerden ilki -her ne kadar Kur’ân’da Ehlü’l-hak terkibi geçmese de- Ehl-i şirk ve Ehl-i kitâb gruplarının inanç ve ameldeki batıl eylemlerinin tarif edilmesi yoluyla Ehl-i hak tasavvurunun inşa edildiği kurucu dönemdir. Bu dönemde illa’l-hak maksadı ile kelime-i şehadet veya kelime-i tevhid getiren bütün Müslümanların Ehl-i hak kategorisine alındığı söylenebilir. İslam ve İslam dışı karşıtlığının belirleyici olduğu birinci semantik dönemden sonra Müslümanlar arasında ortaya çıkan sosyo-politik meseleler Ehl-i hak kapsamına kimlerin girebileceği tartışmasını İslam içi düzleme taşımıştır. Her mezhebin kendini hak gördüğü ikinci semantik dönemde Ehl-i hakkın kapsamı daha ziyade Selefiyye’nin nass merkezli referansları ile Ehl- i bid‘at kategorisine dâhil edilmiş Müslümanların inanç ve ameldeki batıl uygulamaları üzerinden betimlenmiştir. Üçüncü semantik dönem ise nisbeten felsefî geleneklerle karşılaşmanın tesiri ile şekillenmiştir. Bu dönem İslam inancını savunan kelamcıların kavramın dışa dönük/nesnel epistemolojik yönünü dinamik tutmaya çalıştıkları dönemdir. Modernizm sonrasına denk gelen dördüncü semantik dönemde ise Ehl-i hak, sömürgeleştirme faaliyetlerine karşı anti- emperyal bir tavır olarak yeniden kurucu dönemdeki İslam ve İslam dışı karşıtlığının sosyo-politik anlamına geri dönmüştür. Sonuç olarak bütün bu tanımlar manzumesi göz önüne alındığında, günümüzde Ehl-i hak kavramının, İslam inanç esaslarını kabul edip Kur’ân ve Sünnete bağlılıklarını beyan etmiş tüm Müslümanları kapsayacak şekilde tanımlanmasının daha uygun olacağı kanaatine varılmıştır.
Contents
Authors: Tudball Daniel
Published: December 2023

Contents
The Pedigree of Exotics � Or Derivatives Lego
Authors: Wystup Uwe
Published: December 2023

In enumerating how many exotic options there are, should we exclude all that are replications of other building blocks?
On the Predictability of the DJIA and S&P500 Indexes
Authors: Guerard John
Published: December 2023

We obtained from Standard and Poor�s Corporation the complete 126-year history of the Dow Jones Industrial Average (DJIA) daily closing prices. We are applying rolling window averaging and adaptive learning methodologies, coupled with robust estimation methods, to examine which are the best forecasting models over a broad range of economic and financial conditions during the life of the index, based on daily and monthly stock index prices, and daily, monthly, and semi-annual stock returns. Why is an AR(1) model a reasonable benchmark of stock prices? Why do we have it? What should be our forecasting benchmarks? Do we find forecasting improvements from the Hendry-Castle-Doornik-Clements approach using robust forecasting methodologies and saturation variables in the prices of the index? Given that the DJIA fell over 15% during the first half of 2022, is this one of the worst six-month periods ever? What has happened to the Dow, historically, during such periods in the past with regard to six-month, one-year, and three-year-ahead stock returns? Is capitalism dead or doomed? We report statistically significant forecasting improvement from saturation and robust forecasting techniques during the 1896�June 2022 period. We report forecast stock returns for the next six months and three years that are bullish. In the King�s English, June 30, 2022, was another excellent common stock buying opportunity and Capitalism is not dead.
Using �Greeks� from a Dynamic Program Real Option Framework to Quantitatively Manage an Innovation Project/Startup
Authors: Kumiega Andrew
Published: December 2023

In this paper, we extend the Dynamic Programming Real Option Framework via a numerical example (Kumiega, Sterijevski and Van Vliet, 2023). The numerical example details a new idea called control maps. The control maps are multi-state �Greek� that will allow management to make more robust decisions at project gate meetings. This framework will shift the decisions at each gate from a purely qualitative decision to quantitative decision. The qualitative decision will be based upon the change in the current project�s expected value and the additional projected cost to change state at a gate. Simulated costs and times to completion are generated by a continuous-time Markov chain with states.