Carbon monoxide (CO) is a major atmospheric pollutant with adverse health effects on humans. Moreover, CO can indirectly prolong the lifetime of methane and contribute to global warming. Therefore, understanding the spatial distribution of CO emissions is crucial for designing much-needed strategies to control this pollutant. In this work, a hybrid Weather Research & Forecasting–stochastic time-inverted Lagrangian transport (WRF-STILT)–Bayesian inversion framework was constructed to correct CO emissions over the Greater Bay Area (GBA) for February 2019 and February 2020. After adjusting CO emissions, the average root mean squared error (RMSE), normalized mean error (NME), and correlation coefficient (R) for the simulated CO concentrations in February 2019 and 2020 changed from 0.31 ppm to 0.12 ppm (a 61% reduction), 0.35 to 0.13 (a 63% reduction), and 0.47 to 0.87 (an 85% increase), respectively. The updated CO emissions were then used as input for the Comprehensive Air Quality Model with Extensions (CAMx), a Eulerian model, to further validate the method. The results again indicated that the simulation performance was improved substantially, with a 58% increase in the average R value, a 62% reduction in the RMSE, and a 68% reduction in the NME. This validates the effectiveness of the proposed method in correcting CO emissions. According to the updated emission data, CO emissions over the GBA during the Spring Festival and the COVID-19 lockdown period were 8.3% and 19.6% lower than during normal periods, respectively. These results highlight the importance of accounting for such atypical events in emission estimation and air quality modeling. Analysis of the source areas contributing to CO concentrations in population centers of major GBA cities showed that the average contributions from local emissions and emissions from other GBA cities were 45.5% and 38.8%, respectively. The method developed in this work can be further used for CO adjustment in other regions and contribute to a deeper understanding of the characteristics of this important pollutant.
Environmental sciences, Urban groups. The city. Urban sociology
Ahmed Mohammed Ibrahim, Abebe Belay Reta, Mohyadin Abdullahi Ahmed
et al.
Background Scabies is a contagious ectoparasite of the skin. It is caused by the mite Sarcoptes scabiei var. Scabies occurs worldwide among people of all ages, races, genders and social classes and has been identified as a neglected tropical infectious disease. In Ethiopia, there is currently social unrest, conflict, and human-made disasters, leading to the displacement of the population from one place to another. Scabies is one of the most common skin diseases among the internally displaced population, where hygiene and sanitation are poor. The aim of the study was to assess prevalence of scabies and associated factors among school age children in Qoloji IDP in Babile District, Somali, Eastern Ethiopia. Methods A cross-sectional community-based study design was carried out in 422 among school aged children from June to July 2022. The data was collected by using observation (clinical investigation), structured questionnaires. Data was coded, entered and cleaned using with epi data version 3.1, and exported and analysis was done by using SPSS statistical software package version 22. Logistic regression analysis was used to identify factors associated with scabies. Findings were presented by using 95% CI of Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR). To declare statistical significance, a p-value of less than 0.05 was used. Results There were 63 cases of scabies with a prevalence of 14.92% CI at 95% (11.7%-18.1%). The multivariable logistic regression shows that age categories with 5-9 [AOR = 2.4 (95% CI: 1.01,6.39)], over-crowding index greater than 1.5 [AOR = 10 (95% CI: (3.6,27.8)] washing clothes infrequently [AOR = 14.7(95% CI: 3.6,25)), history of contact with scabies patients in the past 2 months [AOR = 5(95% CI: (1.2,23.0)], and Family having rash in the past two weeks [AOR = 9.9 (95% CI: 3.7,26)] having poor knowledge about scabies among children’s family [AOR = 8.9 (95% CI: 3.3,24)] were significant variables at p-value less than 0.05. Conclusion There was a higher prevalence of scabies in the study area. Age, overcrowding, washing clothes infrequently, history of contact with scabies patients in the past 2 months, family having a rash in the past two weeks, and poor knowledge about scabies among children’s families were significant factors. Health education on personal hygiene, avoiding sharing clothes with others, avoiding contact, sleeping with scabies-ill people, and sharing beds with others are important measures in reducing these risk factors.
Indonesia is one of the diverse countries with diverse religions, cultures, tribes, races, languages, and races. In this modern era, the paradigm of globalization greatly influences human nature and characteristics. Tolerance is actually not just accepting differences, but respecting each other. Tolerance is a basic element needed to realize an attitude of mutual understanding, respecting existing differences and becoming an entry point for creating conditions of harmony and dialogue between religious communities in community life. Various educational institutions accept students from various backgrounds, so this requires schools to instill the values of tolerance in all students, so that the learning process can run well. However, in reality, these things tend not to be the main focus of education in the current information era, because the ability to respect each other and recognize the diversity of students is very minimal. So, the need for a hidden curriculum in this problem. Although the existence of a hidden curriculum is not realized by students, this unplanned learning experience can still emerge, not only through interactions between students and teachers, but also through the relationship between students and their surroundings so that the values of tolerance are formed. This study aims to determine how the implementation of the hidden curriculum at SMKN 1 Kota Serang and what form the hidden curriculum takes at SMKN 1 Kota Serang and the supporting and inhibiting factors for the implementation of the hidden curriculum in the formation of tolerance values at SMKN 1 Kota Serang. This study uses a qualitative research type using observation, interview, and documentation methods. From the results of the study, it can be concluded that the implementation of the hidden curriculum running at SMKN 1 Kota Serang has been carried out well, based on the specific findings that the researcher found, the implementation of this hidden curriculum basically requires cooperation from various parties, both from the school and the parents of students. The form of activity is in the form of a hidden curriculum through habits (positive habits in class, habits that exist at school), hidden curriculum through class management, hidden curriculum through role models and relationships between teachers, hidden curriculum through school regulations, hidden curriculum through facilities and extracurricular activities. All forms of hidden curriculum activities certainly lead to learning in PKn and refer to the school curriculum, in addition to school habits that help to shape character, especially in tolerance values.
Minjian Zhang, Daniel Wee Soong Lim, Mosaad Al Thokair
et al.
Dynamic race detection based on the happens before (HB) partial order has now become the de facto approach to quickly identify data races in multi-threaded software. Most practical implementations for detecting these races use timestamps to infer causality between events and detect races based on these timestamps. Such an algorithm updates timestamps (stored in vector clocks) at every event in the execution, and is known to induce excessive overhead. Random sampling has emerged as a promising algorithmic paradigm to offset this overhead. It offers the promise of making sound race detection scalable. In this work we consider the task of designing an efficient sampling based race detector with low overhead for timestamping when the number of sampled events is much smaller than the total events in an execution. To solve this problem, we propose (1) a new notion of freshness timestamp, (2) a new data structure to store timestamps, and (3) an algorithm that uses a combination of them to reduce the cost of timestamping in sampling based race detection. Further, we prove that our algorithm is close to optimal -- the number of vector clock traversals is bounded by the number of sampled events and number of threads, and further, on any given dynamic execution, the cost of timestamping due to our algorithm is close to the amount of work any timestamping-based algorithm must perform on that execution, that is it is instance optimal. Our evaluation on real world benchmarks demonstrates the effectiveness of our proposed algorithm over prior timestamping algorithms that are agnostic to sampling.
Adverse childhood experiences (ACEs) have significant impacts on mental health outcomes. There is a growing interest in expanding the scope of ACEs beyond household environments. To date, few studies examine multidimensional ACEs with community violence. This study aims to (1) identify underlying ACE classes including exposure to community violence, and (2) investigate the associations of ACE classes with mental disorders in adulthood: depression, anxiety, and Post-Traumatic Stress Disorder (PTSD). We employed Latent Class Analysis (LCA) and logistic regression analyses using the data from the National Longitudinal Study of Adolescent and Adult Health (Add Health; N = 10,784). The LCA identified four heterogeneous ACE classes: (1) child maltreatment (17.47%), (2) household dysfunction (14.39%), (3) community violence (5.36%), and (4) low adversity (62.79%). Three logistic analyses showed that the "child maltreatment" class was more likely to report a depression (OR = 1.56, CI = 1.26-1.92), anxiety (OR = 1.31, CI = 1.06-1.62), and PTSD (OR = 1.97, CI = 1.35-2.87) in adulthood compared to the "low adversity" class. Also, the "community violence" class was more likely to have PTSD (OR = 2.15, CI = 1.14-4.06) in adulthood, compared to the "low adversity" class. However, the "household dysfunction" class was not significantly different in all three mental disorders from the "low adversity" class. Findings supported the differences in mental disorders in young adulthood by types of exposures to ACEs. The study highlights the importance of considering types of ACEs exposure for promoting mental health of young adults.
Keeping three radical ideas of Dr. B.R. Ambedkar, which have not been seriously dealt with by mainstream Indian/Kerala historiography, at the backdrop, namely, the Nagas and Dravidians are the same people, the untouchables were Buddhists, and India’s history as the history of mortal conflicts between Buddhism and Brahminism, the article attempts to study a Malayalam poem that has attained a classical status in the language, Poothapattu, to unravel the concealed layers of Kerala’s past. Drawing on the distinction the filmmaker Sergei Eisenstein establishes between the image and representation and on the insights provided by the Sangham Thinai conceptualizations, the article argues that in the Pootham image created by the Savarnna Malayalees, one could see sedimentation of history, where representations of the untouchable population of different historical moments are fused into a complex image, attesting to the veracity of Ambedkar’s radical ideas enumerated above.
Sustainable Development Goal 11 (SDG 11) focuses on making cities and human settlements inclusive, safe, resilient, and sustainable. Although the goal primarily addresses urban development, its principles also extend to rural areas, but the extent to which South Africa’s legal and policy frameworks empower traditional authorities to contribute to the development of their communities, particularly towards achieving SDG11, remains insufficiently explored. This study investigates how South Africa’s national legislative frameworks on traditional leadership have been applied to support the advancement of SDG 11. It examines the legal provisions within the 1996 Constitution of the Republic of South Africa, and relevant legislation to determine whether these frameworks provide a strong legal basis for promoting SDG 11 through the empowerment of traditional leadership. This study employs a desktop research methodology involving a comprehensive review of relevant laws, policies, and case law. Secondary data were gathered from case studies, journal articles, books, case laws, and credible internet sources. The findings suggest that the traditional authority system is deeply embedded within the South African Constitution, as well as legislative and policy frameworks, and has been effectively leveraged to advance SDG 11. Key insights emphasise the constitutional and legal recognition of traditional authorities and highlight the enforcement of traditional leadership roles and functions through various legal cases, and SDG 11-aligned programmes in South Africa. The areas where the role and functions of traditional leadership intersect with SDG 11 and rural development include security and safety, community participation, land management and sustainable settlements, cultural heritage and community identity, disaster management, and environmental stewardship. The empowerment of traditional leadership in South Africa has significant implications for achieving SDG 11 and rural development. These implications include enhanced local governance and service delivery, increased accountability and transparency, balanced rural-urban linkages, promotion of environmental stewardship, and the fostering of inclusive development. It also strengthens rural resilience, preserves cultural heritage, promotes sustainable resource management, and improves community engagement. However, challenges related to power dynamics, equity, and the need for policy integration and cohesion must be addressed to ensure that traditional leadership empowerment contributes effectively to sustainable development in South Africa.
Cities. Urban geography, Urban groups. The city. Urban sociology
Abdul Kholik, Asep Soegiarto, Wina Puspita Sari
et al.
Seiring dengan perkembangan teknologi dan minat yang meningkat terhadap fotografi, banyak sekolah menengah yang mulai menawarkan kursus atau klub fotografi sebagai bagian dari kurikulum ekstrakurikuler. Namun, seringkali terdapat kendala dalam menyediakan ruang dan peralatan yang memadai untuk kegiatan tersebut. Dengan merancang ulang ruang fotografi menjadi sebuah Educational Space yang terintegrasi dengan baik di lingkungan sekolah, diharapkan dapat membuka peluang baru bagi pengembangan potensi kreatif dan akademik siswa dalam bidang fotografi. Metode pelaksanaan menggunakan model Hannafin and Peck dalam perencanaan pengabdian masyarakat ini akan mengikuti langkah-langkah yang terstruktur. Model ini terdiri dari lima langkah utama yang mencakup pengidentifikasian kebutuhan, perencanaan, pengembangan, implementasi, dan evaluasi. Hasil kegiatan yang dilakukan adalah dengan tahapan seperti melakukan diskusi terperinci mengenai pembagian tugas bagi tim pelaksana, yang mencakup peran-peran seperti fotografer, videografer, penyusun TOR (Terms of Reference), dan asisten program. Pengimplementasian program mencakup pengenalan fungsi alat, tata cara penggunaan alat fotografi, serta penyiapan laboratorium fotografi di sekolah. Terakhir, evaluasi hasil kegiatan berupa survei dilakukan untuk menilai efektivitas program secara keseluruhan, memastikan manfaat maksimal sesuai dengan tujuan yang ditetapkan.
Pranav Narayanan Venkit, Christopher Graziul, Miranda Ardith Goodman
et al.
Radios are essential for the operations of modern police departments, and they function as both a collaborative communication technology and a sociotechnical system. However, little prior research has examined their usage or their connections to individual privacy and the role of race in policing, two growing topics of concern in the US. As a case study, we examine the Chicago Police Department's (CPD's) use of broadcast police communications (BPC) to coordinate the activity of law enforcement officers (LEOs) in the city. From a recently assembled archive of 80,775 hours of BPC associated with CPD operations, we analyze text transcripts of radio transmissions broadcast 9:00 AM to 5:00 PM on August 10th, 2018 in one majority Black, one majority white, and one majority Hispanic area of the city (24 hours of audio) to explore three research questions: (1) Do BPC reflect reported racial disparities in policing? (2) How and when is gender, race/ethnicity, and age mentioned in BPC? (3) To what extent do BPC include sensitive information, and who is put at most risk by this practice? (4) To what extent can large language models (LLMs) heighten this risk? We explore the vocabulary and speech acts used by police in BPC, comparing mentions of personal characteristics to local demographics, the personal information shared over BPC, and the privacy concerns that it poses. Analysis indicates (a) policing professionals in the city of Chicago exhibit disproportionate attention to Black members of the public regardless of context, (b) sociodemographic characteristics like gender, race/ethnicity, and age are primarily mentioned in BPC about event information, and (c) disproportionate attention introduces disproportionate privacy risks for Black members of the public.
John Jacobson, Martin Burtscher, Ganesh Gopalakrishnan
Data races are egregious parallel programming bugs on CPUs. They are even worse on GPUs due to the hierarchical thread and memory structure, which makes it possible to write code that is correctly synchronized within a thread group while not being correct across groups. Thus far, all major data-race checkers for GPUs suffer from at least one of the following problems: they do not check races in global memory, do not work on recent GPUs, scale poorly, have not been extensively tested, miss simple data races, or are not dependable without detailed knowledge of the compiler. Our new data-race detection tool, HiRace, overcomes these limitations. Its key novelty is an innovative parallel finite-state machine that condenses an arbitrarily long access history into a constant-length state, thus allowing it to handle large and long-running programs. HiRace is a dynamic tool that checks for thread-group shared memory and global device memory races. It utilizes source-code instrumentation, thus avoiding driver, compiler, and hardware dependencies. We evaluate it on a modern calibrated data-race benchmark suite. On the 580 tested CUDA kernels, 346 of which contain data races, HiRace finds races missed by other tools without false alarms and is more than 10 times faster on average than the current state of the art, while incurring only half the memory overhead.
ABSTRACT The idea of “national races” or taingyintha has animated brutal conflict in Myanmar over who or what is “Rohingya.” But because the term is translated from Burmese inconsistently, and because its usage is contingent, its peculiar significance for political speech and action has been lost in work on Myanmar by scholars writing in English. Out of concern that Myanmar’s contemporary politics cannot be understood without reckoning with taingyintha, in this article I give national races their due. Adopting a genealogical method, I trace the episodic emergence of taingyintha from colonial times to the present. I examine attempts to order national races taxonomically, and to marry the taxonomy with a juridical project to dominate some people and elide others through a citizenship regime in which membership in a national race has surpassed other conditions for membership in the political community “Myanmar.” Consequently, people who reside in Myanmar but are collectively denied citizenship – like anyone identifying or identified as Rohingya – pursue claims to be taingyintha so as to rejoin the community. Ironically, the surpassing symbolic and juridical power of national races is for people denied civil and political rights at once their problem and their solution.
Purpose Using the extant literature review, this paper aims to explore the relationship between gender, entrepreneurial education (EE) and entrepreneurial intention (EI) in the Indian context, which the authors believe is a novel approach to this research stream. The authors also use career preparedness as a control variable to examine this relationship. Design/methodology/approach Data were collected from 368 undergraduate students across four Indian universities (one exclusively for female students) through a standard structured questionnaire. Additionally, rather than examining, EI has been treated as a monolithic construct; however, the authors conceptualize it as comprising three different dimensions that include grand vision and risk-taking ability; opportunity exploitation; and ability to persevere. An additional analysis was conducted for the students who reported higher scores for “being well prepared for their careers” through their institutes’ academic programs and communities of entrepreneurs. The authors also interviewed some entrepreneurship instructors, who confirmed the present findings through their observations. Findings The findings indicate that, essentially, there is a positive relationship between EE and EI. The authors find that male students scored higher for the first two dimensions of EI but not the third. Additionally, the authors used career preparedness as a control variable for additional analysis. The authors observed that students with higher “career preparedness” reported a positive relationship between EE and EI, independent of gender, for all three dimensions of EI. Thus, it may be assumed that if a community of entrepreneurs needs to be developed in India, a focus on career preparedness is critical. Research limitations/implications First, given that the present survey reflected a single moment in linking EE to EI (which may be considered a limitation of the study), future researchers might focus on a longitudinal approach. Second, all the respondents are attending urban universities (and, as such, very likely belong to the upper middle class of Indian society). The financial divide between urban and rural India is well known; as such, the results might be different if the sample was drawn from rural and poor India. Originality/value The salience/value of this study lies in the conceptualization of EI comprising three sub-constructs to understand the impact of formal EE (with three sub-constructs) on EI. The focus on career preparedness for a female student is a new direction of inquiry with respect to entrepreneurial intention.
BACKGROUND The World Alliance Societies of Echocardiography (WASE) Normal Values Study evaluates individuals from multiple countries and races with the aim of describing normative values that could be applied to the global community worldwide and to determine differences and similarities among people from different countries and races. The present report focuses specifically on two-dimensional (2D) left ventricular (LV) dimensions, volumes, and systolic function. METHODS The WASE Normal Values Study is a multicenter international, observational, prospective, cross-sectional study of healthy adult individuals. Participants recruited in each country were evenly distributed among six predetermined subgroups according to age and gender. Comprehensive 2D transthoracic echocardiograms were acquired and analyzed following strict protocols based on recent American Society of Echocardiography and European Association of Cardiovascular Imaging guidelines. Analysis was performed at the WASE 2D core laboratory and included 2D LV dimensions, LV volumes, and LV ejection fraction (LVEF) by the biplane Simpson method and global longitudinal strain (GLS). RESULTS Two thousand eight subjects were enrolled in 15 countries. The median age was 45 years (interquartile range, 32-65 years), 42.8% were white, 41.8% were Asian, and 9.7% were black. LV dimensions and volumes were larger in male subjects, while LVEF and GLS were higher in female subjects. Global WASE normal ranges for LV dimensions were smaller than those in the guidelines, but the upper limits of normal for LV volumes and the lower limits of normal for LVEF were higher in the WASE study. Significant intercountry variation was identified for all LV parameters reflecting LV size (dimensions, mass, and volumes) even after indexing to body surface area, with LV end-diastolic and end-systolic volumes having the highest variation. The largest volumes were noted in Australia, while the smallest were measured in India for both genders. This finding suggests that in addition to gender and body surface area, specific country should be considered when evaluating LV volumes. Intercountry variation for LVEF and GLS was smaller but still statistically significant (P < .05 for all). CONCLUSIONS LV dimensions and volumes are larger in men, while LVEF and GLS are higher in women. Current guideline-recommended normal ranges for LV volumes and LVEF should be adjusted. Intercountry variability is significant for LV volumes, and therefore nationality should be considered for defining ranges of normality.
We examined post-traumatic stress disorder (PTSD) and depressive symptoms in refugee mothers and the relationships between maternal trauma, child attachment security, and child internalizing and externalizing behaviours. Results from 36 mothers of children 18–70 months old indicated that while 94.4% of mothers reported experiencing trauma, only 2.8% reported clinically elevated PTSD symptoms. Maternal PTSD symptoms were correlated with child internalizing and externalizing behaviours. Attachment security was negatively correlated with internalizing and externalizing behaviours. Attachment security moderated the relationship between PTSD symptoms and externalizing behaviours; PTSD symptoms predicted externalizing behaviours for children with low attachment security only. This suggests that child attachment security may protect against maternal trauma.
Yichen Xu, Aleksander Boruch-Gruszecki, Martin Odersky
Data races are a notorious problem in parallel programming. There has been great research interest in type systems that statically prevent data races. Despite the progress in the safety and usability of these systems, lots of existing approaches enforce strict anti-aliasing principles to prevent data races. The adoption of them is often intrusive, in the sense that it invalidates common programming patterns and requires paradigm shifts. We propose Capture Separation Calculus (System CSC), a calculus based on Capture Calculus (System CC<:box), that achieves static data race freedom while being non-intrusive. It allows aliasing in general to permit common programming patterns, but tracks aliasing and controls them when that is necessary to prevent data races. We study the formal properties of System CSC by establishing its type safety and data race freedom. Notably, we establish the data race freedom property by proving the confluence of its reduction semantics. To validate the usability of the calculus, we implement it as an extension to the Scala 3 compiler, and use it to type-check the examples in the paper.
Interrupt-driven programs are widely deployed in safety-critical embedded systems to perform hardware and resource dependent data operation tasks. The frequent use of interrupts in these systems can cause race conditions to occur due to interactions between application tasks and interrupt handlers (or two interrupt handlers). Numerous program analysis and testing techniques have been proposed to detect races in multithreaded programs. Little work, however, has addressed race condition problems related to hardware interrupts. In this paper, we present SDRacer, an automated framework that can detect, validate and repair race conditions in interrupt-driven embedded software. It uses a combination of static analysis and symbolic execution to generate input data for exercising the potential races. It then employs virtual platforms to dynamically validate these races by forcing the interrupts to occur at the potential racing points. Finally, it provides repair candidates to eliminate the detected races. We evaluate SDRacer on nine real-world embedded programs written in C language. The results show that SDRacer can precisely detect and successfully fix race conditions.
Since the 1970's the debate about the rising importance of transnational relations has existed in international relations. Apart from states, related research also focuses on other actors, including epistemic communities. The article uses the concept of epistemic communities and finds whether the activity of epistemic communities determines the process of the international management of outer space in the case of the political negotiations relating to space debris in UNCOPUOS and UNOOSA. The activity of epistemic communities exists in the political negotiations relating to space debris in UNCOPUOS and UNOOSA, but it has not been reflected in the related scholarly literature. Epistemic communities from the non-governmental organizations IAF, COSPAR and IISL contributed to setting the space debris problem on the agenda of UNCOPUOS. Also, under the influence of epistemic communities from the governmental organization IADC, UNCOPUOS adopted guidelines preventing the creation of further amounts of space debris.
Persistent memory (PM) or Non-Volatile Random-Access Memory (NVRAM) hardware such as Intel’s Optane memory product promises to transform how programs store and manipulate information. Ensuring that persistent memory programs are crash consistent is a major challenge. We present a novel class of crash consistency bugs for persistent memory programs, which we call persistency races. Persistency races can cause non-atomic stores to be made partially persistent. Persistency races arise due to the interaction of standard compiler optimizations with persistent memory semantics. We present Yashme, the first detector for persistency races. A major challenge is that in order to detect persistency races, the execution must crash in a very narrow window between a store with a persistency race and its corresponding cache flush operation, making it challenging for naïve techniques to be effective. Yashme overcomes this challenge with a novel technique for detecting races in executions that are prefixes of the pre-crash execution. This technique enables Yashme to effectively find persistency races even if the injected crashes do not fall into that window. We have evaluated Yashme on a range of persistent memory benchmarks and have found 26 real persistency races that have never been reported before.
AbstractBased on the writings of James Puthucheary in the late 1950s and early 1960s, this article seeks to highlight Puthucheary's contribution to debates within the Malayan Left on the national question. It will highlight Puthucheary's situating of the Malayan Left within a wider transnational flow of nationalist, anti-imperialist, and socialist thought, as well as his attempt—through his own Marxist-influenced assessment of the Malayan situation—to answer the political problem of the relationship between socialist politics and nationalism in Malaya. In doing so the article will highlight the way in which Puthucheary's own position on questions of education and language policy placed him in opposition to dominant trends within the Malayan Communist Party and the left-wing of the People's Action Party, provided a theorizing of the need for nation-building within Malayan socialism, and contributed towards a socialist politics which placed emphasis upon economic development and cultural nation-building from the perspective of the Malay peasantry. The article finally goes on to explore Puthucheary's subsequent disengagement from politics in the early 1960s and the growing limitations of a socialist politics of nation-building in Malaya, which led Puthucheary and others on the Left to contribute towards a programme of nation-building within existing institutions and parties in the 1960s and 1970s.
Inside a Mediterranean scenario of population asymmetries, this paper talks about and ongoing research that aims to highlight issues, identify a working method and tools able to support sustainable regenerative design strategies for abandoned historical small(er) towns and their landscapes, especially in inlands contexts. With these objectives, the research chooses Basilicata region, in the South of Italy, as emblematic for its structural marginality- morphological, infrastructural, social and economic -, bio-cultural diverse and diffused heritage and its seemingly unreversible depopulation process. Aging, low birth rates and high level of emigration has produced the abandonment of small(er) towns, of rural areas and, by the contrary, an increasing wilderness, changing the millennial settlement structure and impacting on socio-ecological resilience. Inside the theoretical framework of landscape/ecological urbanism and related design- oriented experimentations, the constellation of abandoned small(er) towns are interpreted as urban densities of a performative bio-cultural green infrastructure that could support, through design, the contemporary challenge of sustainable development, with a relational and glocal approach. Small(er) towns regeneration is view inside a more complex, interdisciplinary and holistic frame in which inter-scalarity, flux, dynamic and time variability are crucial. Performative bio-cultural green infrastructure, through the multiplication of public space, could support sustainable processes, in an ecological, economic and social sense. From an applicational point of view, the research intends to build a dynamic atlas for the regeneration of abandoned small(er) towns; the atlas is conceived both as a reading and a design tool able to support polyphonic and open process of sustainable regeneration.
Urban groups. The city. Urban sociology, Architecture