184 research outputs found

    Climate Change and Critical Agrarian Studies

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    Climate change is perhaps the greatest threat to humanity today and plays out as a cruel engine of myriad forms of injustice, violence and destruction. The effects of climate change from human-made emissions of greenhouse gases are devastating and accelerating; yet are uncertain and uneven both in terms of geography and socio-economic impacts. Emerging from the dynamics of capitalism since the industrial revolution — as well as industrialisation under state-led socialism — the consequences of climate change are especially profound for the countryside and its inhabitants. The book interrogates the narratives and strategies that frame climate change and examines the institutionalised responses in agrarian settings, highlighting what exclusions and inclusions result. It explores how different people — in relation to class and other co-constituted axes of social difference such as gender, race, ethnicity, age and occupation — are affected by climate change, as well as the climate adaptation and mitigation responses being implemented in rural areas. The book in turn explores how climate change – and the responses to it - affect processes of social differentiation, trajectories of accumulation and in turn agrarian politics. Finally, the book examines what strategies are required to confront climate change, and the underlying political-economic dynamics that cause it, reflecting on what this means for agrarian struggles across the world. The 26 chapters in this volume explore how the relationship between capitalism and climate change plays out in the rural world and, in particular, the way agrarian struggles connect with the huge challenge of climate change. Through a huge variety of case studies alongside more conceptual chapters, the book makes the often-missing connection between climate change and critical agrarian studies. The book argues that making the connection between climate and agrarian justice is crucial

    Tools for efficient Deep Learning

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    In the era of Deep Learning (DL), there is a fast-growing demand for building and deploying Deep Neural Networks (DNNs) on various platforms. This thesis proposes five tools to address the challenges for designing DNNs that are efficient in time, in resources and in power consumption. We first present Aegis and SPGC to address the challenges in improving the memory efficiency of DL training and inference. Aegis makes mixed precision training (MPT) stabler by layer-wise gradient scaling. Empirical experiments show that Aegis can improve MPT accuracy by at most 4\%. SPGC focuses on structured pruning: replacing standard convolution with group convolution (GConv) to avoid irregular sparsity. SPGC formulates GConv pruning as a channel permutation problem and proposes a novel heuristic polynomial-time algorithm. Common DNNs pruned by SPGC have maximally 1\% higher accuracy than prior work. This thesis also addresses the challenges lying in the gap between DNN descriptions and executables by Polygeist for software and POLSCA for hardware. Many novel techniques, e.g. statement splitting and memory partitioning, are explored and used to expand polyhedral optimisation. Polygeist can speed up software execution in sequential and parallel by 2.53 and 9.47 times on Polybench/C. POLSCA achieves 1.5 times speedup over hardware designs directly generated from high-level synthesis on Polybench/C. Moreover, this thesis presents Deacon, a framework that generates FPGA-based DNN accelerators of streaming architectures with advanced pipelining techniques to address the challenges from heterogeneous convolution and residual connections. Deacon provides fine-grained pipelining, graph-level optimisation, and heuristic exploration by graph colouring. Compared with prior designs, Deacon shows resource/power consumption efficiency improvement of 1.2x/3.5x for MobileNets and 1.0x/2.8x for SqueezeNets. All these tools are open source, some of which have already gained public engagement. We believe they can make efficient deep learning applications easier to build and deploy.Open Acces

    LIPIcs, Volume 261, ICALP 2023, Complete Volume

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    LIPIcs, Volume 261, ICALP 2023, Complete Volum

    How do adult survivors of childhood abuse, experience and understand their capacity to trust in relationships?

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    How do adult survivors of childhood abuse, experience and understand their capacity to trust in relationships? Feedback from adults with histories of developmental trauma indicated they experienced considerable difficulties ‘trusting in others generally’, which had significant consequences for their overall quality of life. Using a classic grounded theory design, this study examined the relational trust recovery paths of 13 (10 female, 3 male) survivors of childhood abuse to develop a three-phased model of recovery that highlighted the significance of the therapeutic relationship (Initializing phase), live experimentation (Input phase), and an internal journey from a traumatized self to a more empowered self-concept (Processing phase). The therapeutic work within each phase is described along with a suggested role for motivation to learn theories (Expectancy-Value and Attribution theories), specifically the potential contribution of ‘expectancy of success’ and ‘task value’ to motivate movement through the process. The internal journey to a more positive sense of self varied for each participant; however, in all cases, a reported shift in feelings of ‘personal agency’ and ‘self�efficacy’ facilitated positive adjustment(s) to connect with others. Central to making positive changes was growth in the relational skillsets in two key areas, ‘feeling valued’ characterized by improved self-acceptance, self-esteem, and self-efficacy, and ‘adaptive and flexible responsiveness’ characterized by self-confidence, self-acceptance, and engagement. The therapeutic journey was perceived as challenging and fraught with risk and setbacks; however, perseverance brought the much-cherished rewards of a more trusting relationship with the self and others

    The StartUPS Project at Politecnica Salesiana University (UPS): a Common Good Approach to Institutional Management and Human Development

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    The purpose of this research is to analyze the StartUPS project from the Politecnica Salesiana University and see how this open environment has enhanced people capabilities considering the person-centered vision and how the project base in common good management and capability approach helped the human development of these project participants. In this analysis the concept of development is reviewed from the well-fare to the well-being and contrast with modern and Andean perspectives aiming to understand different forms of development and management of common pool resources and how this set up a line for future research about how to mix these perspectives with the commonly known indicators to measure development. To measure the impact of the project over the participants development, quantitative and qualitative data was collected from the multiple activities and projects that took place under the project open spaces, data shown how almost unanimously not only the participants but also the mentors, professors and strategic allies improve their capabilities and indirectly their perceived self-well-being. Leaving also new research lines to study how strategic planned activities targeting specific functionings could be applied and improved, how Universities seen as an open environment could become community engagement agents improving the community and national well-being.Lo scopo di questa ricerca è analizzare il progetto StartUPS dell'Università Politecnica Salesiana e studiare come questo ambiente aperto abbia migliorato le capacità delle persone, considerando una visione centrata sulla persona e i pilastri del progetto: la gestione del bene comune e il capability approach, in modo che l'insieme migliorasse lo sviluppo umano dei partecipanti. Questa analisi passa in rassegna i concetti di sviluppo, dall'assistenza sociale (statale) al welfare [integrale], e li contrappone alle prospettive moderne e andine per comprendere le diverse forme di sviluppo, la gestione delle risorse del bene comune e, da questa prospettiva, stabilire una linea di ricerca che si combini con gli indicatori comunemente noti per misurare lo sviluppo. Per misurare l'impatto del progetto StartUPS sullo sviluppo dei partecipanti, sono stati raccolti dati quantitativi e qualitativi dalle molteplici attività e progetti realizzati negli ambienti aperti del progetto, dati che mostrano come quasi all'unanimità, non solo i partecipanti ma anche i mentori, i docenti e gli alleati dell'università abbiano migliorato le loro capacità e indirettamente il loro benessere percepito. Questa analisi propone anche nuove linee di ricerca per studiare come le attività strategiche possano essere implementate e migliorate per le functioning, e come le università, viste come un ambiente aperto, potrebbero diventare agenti di coinvolgimento della comunità che migliorano il benessere della comunità e del Paese

    Understanding Quantum Technologies 2022

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    Understanding Quantum Technologies 2022 is a creative-commons ebook that provides a unique 360 degrees overview of quantum technologies from science and technology to geopolitical and societal issues. It covers quantum physics history, quantum physics 101, gate-based quantum computing, quantum computing engineering (including quantum error corrections and quantum computing energetics), quantum computing hardware (all qubit types, including quantum annealing and quantum simulation paradigms, history, science, research, implementation and vendors), quantum enabling technologies (cryogenics, control electronics, photonics, components fabs, raw materials), quantum computing algorithms, software development tools and use cases, unconventional computing (potential alternatives to quantum and classical computing), quantum telecommunications and cryptography, quantum sensing, quantum technologies around the world, quantum technologies societal impact and even quantum fake sciences. The main audience are computer science engineers, developers and IT specialists as well as quantum scientists and students who want to acquire a global view of how quantum technologies work, and particularly quantum computing. This version is an extensive update to the 2021 edition published in October 2021.Comment: 1132 pages, 920 figures, Letter forma

    Walking with the Earth: Intercultural Perspectives on Ethics of Ecological Caring

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    It is commonly believed that considering nature different from us, human beings (qua rational, cultural, religious and social actors), is detrimental to our engagement for the preservation of nature. An obvious example is animal rights, a deep concern for all living beings, including non-human living creatures, which is understandable only if we approach nature, without fearing it, as something which should remain outside of our true home. “Walking with the earth” aims at questioning any similar preconceptions in the wide sense, including allegoric-poetic contributions. We invited 14 authors from 4 continents to express all sorts of ways of saying why caring is so important, why togetherness, being-with each others, as a spiritual but also embodied ethics is important in a divided world

    Collected Papers (on various scientific topics), Volume XIII

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    This thirteenth volume of Collected Papers is an eclectic tome of 88 papers in various fields of sciences, such as astronomy, biology, calculus, economics, education and administration, game theory, geometry, graph theory, information fusion, decision making, instantaneous physics, quantum physics, neutrosophic logic and set, non-Euclidean geometry, number theory, paradoxes, philosophy of science, scientific research methods, statistics, and others, structured in 17 chapters (Neutrosophic Theory and Applications; Neutrosophic Algebra; Fuzzy Soft Sets; Neutrosophic Sets; Hypersoft Sets; Neutrosophic Semigroups; Neutrosophic Graphs; Superhypergraphs; Plithogeny; Information Fusion; Statistics; Decision Making; Extenics; Instantaneous Physics; Paradoxism; Mathematica; Miscellanea), comprising 965 pages, published between 2005-2022 in different scientific journals, by the author alone or in collaboration with the following 110 co-authors (alphabetically ordered) from 26 countries: Abduallah Gamal, Sania Afzal, Firoz Ahmad, Muhammad Akram, Sheriful Alam, Ali Hamza, Ali H. M. Al-Obaidi, Madeleine Al-Tahan, Assia Bakali, Atiqe Ur Rahman, Sukanto Bhattacharya, Bilal Hadjadji, Robert N. Boyd, Willem K.M. Brauers, Umit Cali, Youcef Chibani, Victor Christianto, Chunxin Bo, Shyamal Dalapati, Mario Dalcín, Arup Kumar Das, Elham Davneshvar, Bijan Davvaz, Irfan Deli, Muhammet Deveci, Mamouni Dhar, R. Dhavaseelan, Balasubramanian Elavarasan, Sara Farooq, Haipeng Wang, Ugur Halden, Le Hoang Son, Hongnian Yu, Qays Hatem Imran, Mayas Ismail, Saeid Jafari, Jun Ye, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Abdullah Kargın, Vasilios N. Katsikis, Nour Eldeen M. Khalifa, Madad Khan, M. Khoshnevisan, Tapan Kumar Roy, Pinaki Majumdar, Sreepurna Malakar, Masoud Ghods, Minghao Hu, Mingming Chen, Mohamed Abdel-Basset, Mohamed Talea, Mohammad Hamidi, Mohamed Loey, Mihnea Alexandru Moisescu, Muhammad Ihsan, Muhammad Saeed, Muhammad Shabir, Mumtaz Ali, Muzzamal Sitara, Nassim Abbas, Munazza Naz, Giorgio Nordo, Mani Parimala, Ion Pătrașcu, Gabrijela Popović, K. Porselvi, Surapati Pramanik, D. Preethi, Qiang Guo, Riad K. Al-Hamido, Zahra Rostami, Said Broumi, Saima Anis, Muzafer Saračević, Ganeshsree Selvachandran, Selvaraj Ganesan, Shammya Shananda Saha, Marayanagaraj Shanmugapriya, Songtao Shao, Sori Tjandrah Simbolon, Florentin Smarandache, Predrag S. Stanimirović, Dragiša Stanujkić, Raman Sundareswaran, Mehmet Șahin, Ovidiu-Ilie Șandru, Abdulkadir Șengür, Mohamed Talea, Ferhat Taș, Selçuk Topal, Alptekin Ulutaș, Ramalingam Udhayakumar, Yunita Umniyati, J. Vimala, Luige Vlădăreanu, Ştefan Vlăduţescu, Yaman Akbulut, Yanhui Guo, Yong Deng, You He, Young Bae Jun, Wangtao Yuan, Rong Xia, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Zayen Azzouz Omar, Xiaohong Zhang, Zhirou Ma.‬‬‬‬‬‬‬
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