Pub Date : 2022-01-02DOI: 10.1080/1751696X.2022.2064229
Justin Thomas, Arwa Al-Hammadi
ABSTRACT The idea of a connection between creativity and psychopathology has been attributed to our earliest human ancestors. It is also a notion that has, historically, been expressed across cultures. Contemporary research exploring the link between creativity and psychopathology, however, is equivocal. More recently, it has been hypothesized that this is only a subset of mental health problems that are linked with creativity; specifically, approach-based psychopathologies, such as mania and hypomania. This study explored the relationship between creativity (divergent thinking) and approach-based psychopathology (hypomanic traits) among Arab college women (n= 218) in the United Arab Emirates. The study used a Web-based version of the Alternative Uses Task to assess creativity. The study also administered the Hypomanic Personality Scale to assess hypomanic traits/bipolar risk. As predicted, there was a positive correlation between hypomanic traits and creativity. These findings broaden support for the idea of a link between approach-based psychopathologies and creativity. By extension, they lend further tentative support to archaeological hypotheses about the co-emergence of theology, creativity and mental illness.
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Pub Date : 2022-01-02DOI: 10.1080/1751696X.2022.2057233
K. Thamburaj, Logeswary Arumugum
ABSTRACT This study aimed to discover the historical background of the Malaysian Tamil folk songs. Qualitative approaches with historical, descriptive and explanatory designs were used for this study. Apart from the historical background, information on the characteristics and essence of the Malaysian Tamil folk songs are also discussed in this paper. The researcher used information from sources on Malaysian Tamil literature and Malaysian Tamil folk songs to analyze and explore the historical background. Information was also obtained from an interview with Murasu Nedumaran, a Tamil scholar. The elements embedded in the folk songs were categorized and described. Findings revealed that the essence of the Malaysian folk songs compiled by Murasu Nedumaran, Thandayutham and Muthammal Palanisamy expressed loss, gain and hopes of the Tamil laborers.
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Pub Date : 2022-01-02DOI: 10.1080/1751696x.2022.2030987
Jennifer Walklate
and is lost. Who is ‘my silver warrior, who has not died, who will not die’? Who are these ‘skilful bird-flocks of witches’ called on in the hope that they will us – not, you observe, that we should be saved from them, for this is a very different world from ordinary Christianity. But the same mysterious quality survives even into the common Latin charms of the later middle ages, with their travelling angels, their three good brothers, their marble stones and bragotty worms. The little story, the historiola that empowers a charm, is already at one remove from the religion which inspired it; imagination has stepped in. We cannot say that Goibniu is the Iron Age smith-god, even if he turned out to have the same name, for continuity and identity are two quite different things. Philologically, Santa Claus is St Nicholas, but knowledge of the gentleman on the sleigh will not help us reconstruct the fourth-century bishop of Myra, because supernatural identities evolve over time, and it is so hard to reverse the process, and so easy to fool ourselves that we have succeeded. Irish charm-mongers, like their contemporaries among the storytellers, were confronted with traditional formulae and tags of verse from which they reconstructed the best narratives that they could. Icelandic scholars did the same when they tried to piece together old myths from the riddling verses of the skalds; so did the Arabs with the lost lore of Ad and Thamud; so did the Hebrews with their archaic verses embedded in the Pentateuch. It is the common destiny of any scholar who finds themselves stranded by the arrival of literacy on the further shore from an ancient oral culture. Thanks to John Carey’s research, we can now add something more to this picture: for some people, some of the time, invoking the old supernatural powers was not just a literary fantasy, but a real magical power. We do not know what they taught but we know that they taught it, these druids and charm-smiths and strong women. The clerical, textual world of the Early Middle Ages, which we have mistakenly taken for the reality, was only a small clearing in the forest of the oral. And if in Ireland, why not elsewhere?
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Pub Date : 2022-01-02DOI: 10.1080/1751696X.2022.2030988
Tina Paphitis
an Admiralty transport ship, wrecked at Ilfracombe in 1796. Some of the bodies of the drowned were carried up to the churchyard, others were left on the beach and buried on the beach near Rapparee Cove. What caused controversy locally, even two hundred years after the event, was the status of those who died. The London was carrying prisoners taken from the fighting at St Lucia, which included individuals enslaved by the French. Abolition was more than a decade away, and with money still to be made in the slave trade, there is no way of knowing what the plans of the London’s captain were for his living cargo. When it was made public that many of the drowned might have been slaves, Ilfracombe was in uproar, and many insisted on naming them only as prisoners of war. Memory, in this case, is painful, sensitive, and political. Unfortunately, These Silent Mansions lacks any reference list for the book as a whole, although this is somewhat mitigated by a good selection of notes for each chapter. Admittedly this is not an academic book, and consistent footnoting would have broken apart the poetic mood which is the book’s main selling point. But a second, more significant issue is the real lack of purpose to the book as a whole. There are traces, senses of themes – memory, loss, transience, the landscape, solitude – but no core argument or purpose to hang onto. This makes it a difficult read; there is an unfortunate hollowness if one squints in the wrong way. Perhaps, though, purpose is not the point. These Silent Mansions is a meditative book, and a meditation is the observance, without judgement, of thoughts as they arise. Perhaps it is, ultimately, churlish, to complain about a lack of purpose in this wandering, evocative prose poem which is, ultimately, about the paradoxically pointless importance of our striving.
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Pub Date : 2022-01-02DOI: 10.1080/1751696X.2022.2030989
Bob Trubshaw
anxieties in hyper-real, dystopian Tokyo and in the fantasyland created in the subconscious of the novel’s protagonist. The final section, ‘Urban Spectrality’, presents haunted urban topographies which raise questions and disturb assumptions about modernity. David Waldron and Sharn Waldron explore the supernatural history of the nineteenth-century Ballarat goldfields of central Victoria, disinterring an unsettling past. This fits in with other excellent work interrogating the ‘spectral accretions’ (Waterton and Saul 2020) of colonial Australia and the violence, poverty and oppression that lie at the foundations of colonising, capitalising – otherwise ‘modernising’ – campaigns. Hauntings also reflect a problematic past in Mexico City, and as María del Pilar Blanco shows, the presence–absence of Emperor Maximilian I could be traced through a photograph of his corpse. Alevtina Solovyova examines how the reproduction and adaptation of traditional ghostlore and demonology in contemporary Beijing can reveal personal and collective anxieties and tensions. The volume concludes with Morag Rose on post-industrial Manchester, whose spectral waterways reconcile people to the rupture of the modern city from its industrial past. As with almost all edited volumes, quality is mixed; the papers by Pooley and Solovyova are excellent, while others will be of value to anyone interested in the supernatural and especially its presence in urban modernity. Despite the lack of direct contribution from archaeologists, Supernatural Cities will also be of interest to them, and can broaden approaches to urban and industrial archaeology. This welcome contribution to studies of the supernatural and the urban has something for everyone.
在超现实的、反乌托邦的东京和小说主人公潜意识中创造的幻想世界中，焦虑。最后一部分，“城市幽灵”，展示了闹鬼的城市地形，这些地形提出了问题，扰乱了对现代性的假设。David Waldron和Sharn Waldron探索了19世纪维多利亚中部巴拉瑞特金矿的超自然历史，发掘了一段令人不安的过去。这与其他优秀的作品相吻合，这些作品质疑了殖民时期澳大利亚的“幽灵增长”(Waterton and Saul 2020)，以及殖民、资本化(或“现代化”)运动的基础上的暴力、贫困和压迫。闹鬼也反映了墨西哥城有问题的过去，正如María del Pilar Blanco所展示的，皇帝马克西米利安一世的存在和不存在可以通过他的尸体的照片来追踪。Alevtina Solovyova考察了当代北京传统鬼文学和鬼神学的复制和改编如何揭示了个人和集体的焦虑和紧张。这本书的结尾是Morag Rose对后工业时代的曼彻斯特的描述，它的幽灵般的水道使人们适应了现代城市与工业时代的破裂。与几乎所有编辑过的书籍一样，质量参差不齐;Pooley和Solovyova的论文非常出色，而其他的论文对于任何对超自然现象感兴趣的人来说都是有价值的，尤其是它在城市现代性中的存在。尽管缺乏考古学家的直接贡献，但超自然城市也会引起他们的兴趣，并且可以拓宽城市和工业考古学的方法。这个对超自然和城市研究的受欢迎的贡献对每个人都有好处。
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Pub Date : 2022-01-02DOI: 10.1080/1751696x.2022.2085914
Mónica Palmero Fernández, Martina Revello Lami
This edition of Time & Mind marks the transition to a new editorial team, formed by Mónica Palmero Fernández and Martina Revello Lami. Mónica is currently Lecturer at the University of Glasgow and specialises in ancient Mesopotamia. Her research interests revolve around gender, goddesses, ritual (and ritual landscapes), architecture, and power relations in early states and societies. Trained as an archaeologist, Mónica also dipped her toes into Assyriology and textual sources. Martina is appointed as lecturer at Leiden University and specialises in pre-Roman Italy. At the core of her research lies the study of material culture and technology and how cognitive processes may shape both our physical world and beliefs. Her background is in Classical Archaeology but she is also a pottery specialist trained in petrography. This year also marks Time & Mind’s 15th anniversary. On this joyful occasion, it is with great humility and excitement that we assume the mantle of the leading interdisciplinary journal in the field of cognitive archaeology and the flagship of the founding editors Paul Devereux and Neil Mortimer. The pre-eminence and storied history of the Time & Mind: The Journal of Archaeology, Consciousness and Culture are the product of continuous effort and excellence exemplified by the prior editorial groups and the dedicated editorial staff. There is no better example than the previous chief editors, Tina Paphitis and Jack Hunter, whose contribution to the journal has been characterised by excellence and innovation. We sincerely thank them and hope to emulate and expand on their successes and superb editorial choices. What do we hope to accomplish in our editorial term? The major priority is the continued communication of scholarly works exploring the multifaceted relationship between sensory engagements, landscapes, and archaeological heritage and cultivating novel ways to transmit such information. We will work in close collaboration with our advisory board to develop the most efficient model for publishing and disseminating knowledge across the journal’s core interests and to support the mission of the journal and its foundational goals. As researchers gear up towards a post-pandemic environment, we do not forget about the academic inequalities that exist and which have been exacerbated by the COVID-19 pandemic. We will endeavour to work closely with and promote early career researchers, those from under-represented backgrounds, and those on atypical career paths who may have suffered disproportionately during this time but who have much to contribute to fulfil the core values and impetus that led Paul and Neil to found Time & Mind in the first place: to provide a space for interdisciplinary work that pushes disciplinary boundaries creatively and that acknowledges the multiplicity of knowledge production through rigorous research. TIME AND MIND 2022, VOL. 15, NO. 1, 1–3 https://doi.org/10.1080/1751696X.2022.2085914
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Pub Date : 2022-01-02DOI: 10.1080/1751696X.2022.2060757
Leila Papoli-Yazdi
ABSTRACT Iran lies in an earthquake belt, and many Iranians have highlighted memories of natural disasters. While visiting Bam, a city destroyed by a severe earthquake, my team and I realized that some inhabitants attribute the disaster to nuclear tests. These rumours were also heard from the survivors of the earthquake in Sarpol-e Zahab in 2018. Looking deeper into the roots of nuclear rumours, I found the origin of rumours about the unnatural cause of the earthquake many years earlier, before the 1979 revolution and in the Tabas 1978 disaster. In this article, the nuclear folklore around earthquakes in Iran has been investigated. Analysing public opinion about disasters without considering their perceptions, rumours, and folklore is not complete. The current study reveals an overlooked mechanism based on the long-term dictatorship and untrustful media have made understanding the disasters complicated in the country.
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Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.205-220
Lisa Kristiana, Afrizal Maulana Muhammad
Based on Indonesian law, it is explained that everyone who drives a motorized vehicle is required to have a Driving License (SIM) which can be obtained by using a driving simulation. However, many prospective drivers fail due to lack of training, such as not having land or not owning a private vehicle. In addition, training using simulations cannot be carried out in person because the simulations only take place at the police station and the installation costs are expensive. NRF24L01 is the Wireless Personal Area Networks (WPAN) used for this research because of its small coverage but high data rate. The purpose of this research is to implement NRF24L01 for driving simulation and observe the level of accuracy and Quality of Service (QoS) occurring in the wireless simulation. Tests show that obstructions and distance between transceivers can reduce the level of accuracy and QoS.
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Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.194-204
Fatan Kasyidi, Ridwan Ilyas, N. Annisa
AbstrakInteraksi manusia dengan komputer merupakan fenomena yang terus berkembang diikuti oleh meningkatnya penggunaan komputer yang sering digunakan dalam ranah sosial manusia. Manusia saling berinteraksi dengan melibatkan emosi untuk memahami seseorang. Emosi manusia seringkali terwakili melalui cara berbicara. Penelitian tentang pengenalan emosi melalui suara telah banyak dilakukan, namun terdapat upaya peningkatan pengenalan emosi melalui suara, terutama masalah korpus yang menjadi salah satu faktor yang menjadikan pengenalan emosi ini belum menghasilkan akurasi pengenalan yang optimal, khususnya berkaitan dengan imbalance data. Penelitian ini dilakukan untuk meningkatkan performa pengenalan emosi untuk mengenali lima kelas emosi yaitu senang, marah, sedih dan kepuasan serta netral menggunakan algoritma boosting. Selain itu, digunakan pula metode seperti CNN dan RNN untuk dapat dilakukan perbandingan serta penerapan SMOTE untuk korpusnya. Setelah eksperimen, dapat dihasilkan akurasi pengenalan mencapai 65% untuk akurasi untuk data tes berdasarkan konfigurasi 22050 Hz sebagai sampling rate, MFCCs dan oversampling SMOTE.Kata kunci: Imbalance data, Algoritma Boosting, CNN, RNN, SMOTEAbstractHuman interaction with computers are a growing phenomenon followed by the increasing use of computers which are often utilized in human social activities. Humans interact with one another by involving emotions. Plenty of research on speech emotion recognition has been established. Nevertheless, there are still efforts to enhance speech emotion recognition, especially the corpus problem which is one of the factors that the model does not in an optimal performance, especially about imbalance data. This study was conducted to enhance the performance of emotion recognition to recognize five class emotions: happiness, angry, sadness, contentment, and neutral. Furthermore, we employed CNN, RNN, and Boosting Algorithms. Lastly, we applied SMOTE to the corpus. After the experiment, the accuracy reached 65% with 22050 Hz configuration as rate, MFCCs, and SMOTE oversampling.Keywords: Data Imbalance, Boosting Algorithms, CNN, RNN, SMOTE
{"title":"Peningkatan Kemampuan Pengenalan Emosi Melalui Suara dalam Bahasa Indonesia","authors":"Fatan Kasyidi, Ridwan Ilyas, N. Annisa","doi":"10.26760/mindjournal.v6i2.194-204","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.194-204","url":null,"abstract":"AbstrakInteraksi manusia dengan komputer merupakan fenomena yang terus berkembang diikuti oleh meningkatnya penggunaan komputer yang sering digunakan dalam ranah sosial manusia. Manusia saling berinteraksi dengan melibatkan emosi untuk memahami seseorang. Emosi manusia seringkali terwakili melalui cara berbicara. Penelitian tentang pengenalan emosi melalui suara telah banyak dilakukan, namun terdapat upaya peningkatan pengenalan emosi melalui suara, terutama masalah korpus yang menjadi salah satu faktor yang menjadikan pengenalan emosi ini belum menghasilkan akurasi pengenalan yang optimal, khususnya berkaitan dengan imbalance data. Penelitian ini dilakukan untuk meningkatkan performa pengenalan emosi untuk mengenali lima kelas emosi yaitu senang, marah, sedih dan kepuasan serta netral menggunakan algoritma boosting. Selain itu, digunakan pula metode seperti CNN dan RNN untuk dapat dilakukan perbandingan serta penerapan SMOTE untuk korpusnya. Setelah eksperimen, dapat dihasilkan akurasi pengenalan mencapai 65% untuk akurasi untuk data tes berdasarkan konfigurasi 22050 Hz sebagai sampling rate, MFCCs dan oversampling SMOTE.Kata kunci: Imbalance data, Algoritma Boosting, CNN, RNN, SMOTEAbstractHuman interaction with computers are a growing phenomenon followed by the increasing use of computers which are often utilized in human social activities. Humans interact with one another by involving emotions. Plenty of research on speech emotion recognition has been established. Nevertheless, there are still efforts to enhance speech emotion recognition, especially the corpus problem which is one of the factors that the model does not in an optimal performance, especially about imbalance data. This study was conducted to enhance the performance of emotion recognition to recognize five class emotions: happiness, angry, sadness, contentment, and neutral. Furthermore, we employed CNN, RNN, and Boosting Algorithms. Lastly, we applied SMOTE to the corpus. After the experiment, the accuracy reached 65% with 22050 Hz configuration as rate, MFCCs, and SMOTE oversampling.Keywords: Data Imbalance, Boosting Algorithms, CNN, RNN, SMOTE","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":"3 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85300813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-12DOI: 10.26760/mindjournal.v6i2.183-193
G. Oktavian, Handri Santoso
In sub-Saharan Africa, cassava is widely grown and considered to be a large source of carbohydrates for human food. However, the plant is plagued with diseases which can threaten food supply for millions of people. By using computer vision, researchers attempted to create an image classification model that can tell farmers whether the plant is sick or not by taking pictures of their leaves. In this short paper, the author attempts to train three Convolutional Neural Network: CropNet, MobileNet, and InceptionV3 that can classify cassava plant diseases based on visual data. As a novelty, the author creates an ensemble voting classifier that combines the prediction of CropNet, MobileNet, and InceptionV3 to create a better prediction. Turns out, creating an ensemble voting classifier enables us to achieve an accuracy score which is 6.8% higher than the average individual scores of each model.
{"title":"Leveraging MobileNet, InceptionV3, and CropNet to Classify Cassava Plant Disease","authors":"G. Oktavian, Handri Santoso","doi":"10.26760/mindjournal.v6i2.183-193","DOIUrl":"https://doi.org/10.26760/mindjournal.v6i2.183-193","url":null,"abstract":"In sub-Saharan Africa, cassava is widely grown and considered to be a large source of carbohydrates for human food. However, the plant is plagued with diseases which can threaten food supply for millions of people. By using computer vision, researchers attempted to create an image classification model that can tell farmers whether the plant is sick or not by taking pictures of their leaves. In this short paper, the author attempts to train three Convolutional Neural Network: CropNet, MobileNet, and InceptionV3 that can classify cassava plant diseases based on visual data. As a novelty, the author creates an ensemble voting classifier that combines the prediction of CropNet, MobileNet, and InceptionV3 to create a better prediction. Turns out, creating an ensemble voting classifier enables us to achieve an accuracy score which is 6.8% higher than the average individual scores of each model.","PeriodicalId":43900,"journal":{"name":"Time & Mind-The Journal of Archaeology Consciousness and Culture","volume":"41 1","pages":""},"PeriodicalIF":0.4,"publicationDate":"2021-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88662740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"历史学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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