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The neighbourhood is a basic unit in police work in the city. Throughout the twentieth and twenty-first centuries, theories of crime and place conceptualized the neighbourhood differently; some emphasized sociological aspects, while others focused on physical aspects. Each theory offers different practices for crime reduction and police action strategies in neighbourhoods. This paper shows how the police implement different strategies in a neighbourhood in South Tel Aviv. It argues that the diversity of approaches increases the range and areas of police intervention in the neighbourhood and empowers their control and effect on place. It indicates the dominance of physical and microgeographical approaches over sociological approaches. Methodologically, this paper uses a three-pronged approach: 1. In-depth interviews with police officers and other dominant actors in space; 2. Ethnographic work with the urban police; and 3. Spatial analysis of policework in the neighbourhood. The conclusion discusses the consequences and shortcomings of the current paradigm in policing and suggests three directions as departure points for new thinking on crime and neighbourhoods: rethinking scale; reassessing the subject of concern; and readdressing the entanglement between crime and space. [ABSTRACT FROM AUTHOR]

Prior research reveals the interrelations between gentrification and policing, yet this paper introduces the unheard perspective of the of police on their role in gentrification. The study focuses on South Tel Aviv, which houses immigrants, drug addicts, prostitution and houselessness. It is undergoing massive urban renewal and has become the most policed area in the city. Methodology includes interviews with police officers (N-15), ethnography with urban police and spatial analysis of urban renewal. The paper argues that: 1. Gentrifying a high-crime neighborhood triggers a collision of urban forces and spatial negotiations amid users, institutions, and areas in the city. 2. Police play a significant role in this process and must operate intensive borderwork on various scales, with technology becoming a tool for internal, microgeographical social borderwork. 3. Policing gentrification raises reflexivity among officers regarding their profession, social obligation and position in urban politics. The paper concludes with the concept of policing temporality to describe the role of police in gentrification. [ABSTRACT FROM AUTHOR]

Recent studies demonstrate how violence, social media, and protest intertwine. This article complements this body of knowledge and indicates how social media enables new modes of small-scale protest events and how it is being used by right-wing and middle-class groups to influence urban politics. The article conceptualizes local-digital activism as a particular form of protest that is based on a hybrid framework of action that entangles physical actions in public space with virtual acts of dissent, creating embodied digital activism in specific locales. The key arguments are threefold: (1) local–digital activism initiates a particular framework of action that is embedded in digital culture and can be used by different ideological groups. (2) The approach to place in this type of dissent is central and manifold, with physical and virtual spaces codefining one another. (3) Triggering violent encounters and using violent representations in place is strategic and intentional, a means to expand visibility on digital platforms. Empirically the article analyses two groups in South Tel Aviv, presenting their protest strategies and tactical use of place, digitization, violence, and the body in creating the iconography of the "other in the place." The study is based on geographic and ethnographic work, in-depth interviews (N = 24) with various actors, and social media content analysis (videos = 72, posts = 210). The final discussion addresses the characteristics of local-digital activism and its role in urban political struggles and offers paths for future research. [ABSTRACT FROM AUTHOR]

Aims: Due to the lack of tools evaluating participation of children with ASD in the educational setting, this study aimed to adapt the Structured Preschool Participation Observation (SPO), which assess the participation of preschool children attending mainstream-educational settings to children with ASD attending non-inclusive special education (content validity), to measure its initial psychometric properties (internal reliability, inter-rater reliability), and to describe children's participation characteristics, creating an effective tool to fill this gap. Methods: Content validity was evaluated by 21 experts using questionnaires. Thirty-five children with ASD were observed in their educational setting using the adapted tool (SPO-ASD). Results: Content validity was satisfactory regarding the items and their classification into occupational areas. Moderate to excellent internal consistency (α =.73–.92) and inter-rater reliability (ICC =.61–.95, p<.05) were found for all scales and most areas. Children's participation frequency was high in learning and activities of daily living (ADL), low in play and social participation. Performance level was low in social participation. Enjoyment level was low, and needed assistance in ADL was high. Conclusions: Based on our initial evaluation, the SPO-ASD may be suitable for assessing participation of children with ASD attending special education preschools. Additional studies are needed to more securely establish its psychometric properties. [ABSTRACT FROM AUTHOR]

The smart city literature mostly focusses on digital initiatives from above. However, digitalisation also reshapes the city from below. Residents use digital means and platforms to empower their agency in the city. This paper aims to explore how residents utilise digital tools to activate their agency and influence local politics. The paper focusses on one neighbourhood in the city of Tel Aviv where different groups of residents struggle to promote their desired political-spatial vision. The main question is whether digitalisation produces new forms of agency on the neighbourhood scale. The paper argues that: (1) digitalisation provides residents with new forms of connective action, creating digital networks at different scales, using representational practices and forming new spaces for political negotiation; (2) through these practices, they manage to influence the symbolic and political status of the neighbourhood and reframe the struggle over its character and future; (3) groups with higher digital agency gain wider visibility of their claims and needs with politicians, the media and public officials. Importantly, this does not only serve middle-class groups. (4) Ultimately, residents become predominant political actors through digital agency. Methodologically, this paper includes two methods: (i) interviews with residents and municipal workers and (ii) social media analysis and online ethnography. The conclusion elaborates the concept of place-oriented digital agency as a particular type of agency aimed at determining change in a specific locale. [ABSTRACT FROM AUTHOR]

Numerous studies have focused on the global city, the sustainable city, the resilient city, the creative city, and the smart city, analyzing their politics, ideologies, and social implications. However, the literature lacks synthetic analysis that addresses these concepts by juxtaposing them and exploring their similarities and differences. This paper provides synthetic analysis, followed by a discussion of the concepts’ competing and complementary logics of governance and citizenship. The concluding section addresses the importance of taking into account these diverse concepts as political ideas and discusses how these concepts become a prescriptive mix promoted by public officials and private developers. [ABSTRACT FROM AUTHOR]

It is generally believed that introns are not translated; therefore, the potential intronic features that may be related to the translation step (occurring after splicing) have yet to be thoroughly studied. Here, focusing on four fungi, we performed for the first time a comprehensive study aimed at characterizing how translation efficiency is encoded in introns and affects their evolution. By analysing their intronome we provide evidence of selection for STOP codons close to the intronic 50 end, and show that the beginning of introns are selected for significantly high translation, presumably to reduce translation and metabolic costs in cases of non-spliced introns. Ribosomal profiling data analysis in Saccharomyces cerevisiae supports the conjecture that in this organism intron retention frequently occurs, introns are partially translated, and their translation efficiency affects organismal fitness. We show that the reported results are more significant in highly translated and highly spliced genes, but are not associated only with genes with a specific function. We also discuss the potential relation of the reported signals to efficient nonsense-mediated decay due to splicing errors. These new discoveries are supported by population-genetics considerations. In addition, they are contributory steps towards a broader understanding of intron evolution and the effect of silent mutations on gene expression and organismal fitness. [ABSTRACT FROM AUTHOR]

Motivation: Dozens of studies in recent years have demonstrated that codon usage encodes various aspects related to all stages of gene expression regulation. When relevant high-quality large-scale gene expression data are available, it is possible to statistically infer and model these signals, enabling analysing and engineering gene expression. However, when these data are not available, it is impossible to infer and validate such models. Results: In this current study, we suggest Chimera--an unsupervised computationally efficient approach for exploiting hidden high-dimensional information related to the way gene expression is encoded in the open reading frame (ORF), based solely on the genome of the analysed organism. One version of the approach, named Chimera Average Repetitive Substring (ChimeraARS), estimates the adaptability of an ORF to the intracellular gene expression machinery of a genome (host), by computing its tendency to include long substrings that appear in its coding sequences; the second version, named ChimeraMap, engineers the codons of a protein such that it will include long substrings of codons that appear in the host coding sequences, improving its adaptation to a new host's gene expression machinery. We demonstrate the applicability of the new approach for analysing and engineering heterologous genes and for analysing endogenous genes. Specifically, focusing on Escherichia coli, we show that it can exploit information that cannot be detected by conventional approaches (e.g. the CAI--Codon Adaptation Index), which only consider single codon distributions; for example, we report correlations of up to 0.67 for the ChimeraARS measure with heterologous gene expression, when the CAI yielded no correlation. [ABSTRACT FROM AUTHOR]

Background: Gene expression is a central process in all living organisms. Central questions in the field are related to the way the expression levels of genes are encoded in the transcripts and affect their evolution, and the potential to predict expression levels solely by transcript features. In this study we analyze S. cerevisiae, a model organism with the most abundant relevant cellular and genomic measurements, to evaluate the accuracy in which expression levels can be predicted by different parts of the transcript. To this end, we perform various types of regression analyses based on a total of 5323 features of the transcript. The main advantage of the proposed predictors over previous ones is related to the accurate and comprehensive definitions of the relevant transcript features, which are based on biophysical knowledge of the gene transcription and translation processes, their modeling and evolution. Results: Cross validation analyses of our predictors demonstrate that they achieve a correlation of 0.68/0.68/0.70/ 0.61/0.81 with mRNA levels, ribosomal density, protein levels, proteins per mRNA molecule (PPR), and ribosomal load (RL) respectively (all p-values <10−140). When we consider predictors that are based exclusively on the features related to different parts of the transcript (5’UTR, ORF, 3’UTR), the correlations with protein levels were 0.27/0.71/ 0.25 (all p-values <10−5), suggesting that the information in the UTRs is redundant, and features of the ORF alone yield similar predictions to the ones obtained based on the entire transcript. Conclusions: The reported results demonstrate that in the analyzed model organism the expression levels of a gene are encoded in the transcript. Specifically, the prediction of a large fraction of the variance of the different gene expression steps based on transcript features alone is feasible in S. cerevisiae. We report dozens of novel transcript features related to expression levels predictions, demonstrating how such analyses can aid in understanding the gene expression process and its evolution, and how such predictors can be designed for other organisms in the future. [ABSTRACT FROM AUTHOR]

Abstract: Accurate and efficient gene expression requires that protein translation initiates from mRNA transcripts with high fidelity. At the same time, indiscriminate initiation of translation from multiple ATG start-sites per transcript has been demonstrated, raising fundamental questions regarding the rate and rationale governing alternative translation initiation. We devised a sensitive fluorescent reporter assay for monitoring alternative translation initiation. To demonstrate it, we map the translation initiation landscape of a Saccharomyces cerevisiae gene (RMD1) with a typical ATG sequence context profile. We found that up to 3%–5% of translation initiation events occur from alternative out-of-frame start codons downstream of the main ATG. Initiation from these codons follows the ribosome scanning model: initiation rates from different start sites are determined by ATG order, rather than their context strength. Genomic analysis of S. cerevisiae further supports the scanning model: ATG codons downstream rather than upstream of the main ATG tend to have higher context scores. [Copyright &y& Elsevier]

The accepted model of eukaryotic translation initiation begins with the scanning of the transcript by the pre-initiation complex from the 5′end until an ATG codon with a specific nucleotide (nt) context surrounding it is recognized (Kozak rule). According to this model, ATG codons upstream to the beginning of the ORF should affect translation. We perform for the first time, a genome-wide statistical analysis, uncovering a new, more comprehensive and quantitative, set of initiation rules for improving the cost of translation and its efficiency. Analyzing dozens of eukaryotic genomes, we find that in all frames there is a universal trend of selection for low numbers of ATG codons; specifically, 16–27 codons upstream, but also 5–11 codons downstream of the START ATG, include less ATG codons than expected. We further suggest that there is selection for anti optimal ATG contexts in the vicinity of the START ATG. Thus, the efficiency and fidelity of translation initiation is encoded in the 5′UTR as required by the scanning model, but also at the beginning of the ORF. The observed nt patterns suggest that in all the analyzed organisms the pre-initiation complex often misses the START ATG of the ORF, and may start translation from an alternative initiation start-site. Thus, to prevent the translation of undesired proteins, there is selection for nucleotide sequences with low affinity to the pre-initiation complex near the beginning of the ORF. With the new suggested rules we were able to obtain a twice higher correlation with ribosomal density and protein levels in comparison to the Kozak rule alone (e.g. for protein levels r = 0.7 vs. r = 0.31; p<10−12). [ABSTRACT FROM AUTHOR]

One of the open questions in regulatory genomics is how the efficiency of gene translation is encoded in the coding sequence. Here we analyse recently generated measurements of folding energy in Saccharomyces cerevisiae, showing that genes with high protein abundance tend to have strong mRNA folding (mF; R=0.68). mF strength also strongly correlates with ribosomal density and mRNA levels, suggesting that this relation at least partially pertains to the efficiency of translation elongation, presumably by preventing aggregation of mRNA molecules. [ABSTRACT FROM AUTHOR]

Date Presented Accepted for AOTA INSPIRE 2021 but unable to be presented due to online event limitations. Participation of children with autism spectrum disorder (ASD) is limited compared with their typically developing (TD) peers. This study examined the participation of children with ASD using an adapted observation in comparison with TD children. Content validity was evaluated by 21 experts, and 70 children were observed. Children with ASD scored significantly lower than TD children in most areas. More structured settings enabled higher participation scores. Further studies are needed. Primary Author and Speaker: Anat Golos Contributing Authors: Sophi Itkin, Hadas Ben-Zur [ABSTRACT FROM AUTHOR]

The codon composition of the coding sequence's (ORF) 5' end first few dozen codons is known to be distinct to that of the rest of the ORF. Various explanations for the unusual codon distribution in this region have been proposed in recent years, and include, among others, novel regulatory mechanisms of translation initiation and elongation. However, due to the fact that many overlapping regulatory signals are suggested to be associated with this relatively short region, its research is challenging. Here, we review the currently known signals that appear in this region, the theories related to the way they regulate translation and affect the organismal fitness, and the debates they provoke., (© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.)