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Characterising and predicting socio-spatial experience has long been a key research question in space syntax research. Due to the lack of synthesised knowledge about it, this review conducts the first systematic scoping review of space syntax research on the relationships between spatial properties and experiential values. Adopting the “Preferred Reporting Items for Systematic reviews and Meta-Analyses” (PRISMA) framework, this review of space syntax research identifies 38 studies that examine socio-spatial experiences in architectural, medical, and urban spaces. The data arising from this systematic review are used to identify trends in this sub-field of research, including the growth of socio-spatial methods and applications in urban analytics since 2016 and key methodological approaches, characteristics, and factors in space syntax research about socio-spatial experience. The research identified using the systematic framework employs a mixture of descriptive, correlation, and regression methods to examine the dynamic effects of spatial configurations on human experiences. Arising from the results of the review, the article further identifies a collective, predictive model consisting of five syntactic predictors and three categories of experiential values. This article, finally, examines research gaps and limitations in the body of knowledge and suggests future research directions.

EFSA Strategy 2027 outlines the need for fit‐for‐purpose protocols for EFSA generic scientific assessments to aid in delivering trustworthy scientific advice. This EFSA Scientific Committee guidance document helps address this need by providing a harmonised and flexible framework for developing protocols for EFSA generic assessments. The guidance replaces the ‘Draft framework for protocol development for EFSA's scientific assessments’ published in 2020. The two main steps in protocol development are described. The first is problem formulation, which illustrates the objectives of the assessment. Here a new approach to translating the mandated Terms of Reference into scientifically answerable assessment questions and sub‐questions is proposed: the ‘APRIO' paradigm (Agent, Pathway, Receptor, Intervention and Output). Owing to its cross‐cutting nature, this paradigm is considered adaptable and broadly applicable within and across the various EFSA domains and, if applied using the definitions given in this guidance, is expected to help harmonise the problem formulation process and outputs and foster consistency in protocol development. APRIO may also overcome the difficulty of implementing some existing frameworks across the multiple EFSA disciplines, e.g. the PICO/PECO approach (Population, Intervention/Exposure, Comparator, Outcome). Therefore, although not mandatory, APRIO is recommended. The second step in protocol development is the specification of the evidence needs and the methods that will be applied for answering the assessment questions and sub‐questions, including uncertainty analysis. Five possible approaches to answering individual (sub‐)questions are outlined: using evidence from scientific literature and study reports; using data from databases other than bibliographic; using expert judgement informally collected or elicited via semi‐formal or formal expert knowledge elicitation processes; using mathematical/statistical models; and – not covered in this guidance – generating empirical evidence ex novo. The guidance is complemented by a standalone ‘template’ for EFSA protocols that guides the users step by step through the process of planning an EFSA scientific assessment. This publication is linked to the following EFSA Supporting Publications article: http://onlinelibrary.wiley.com/doi/10.2903/sp.efsa.2022.EN-7349/full

African swine fever (ASF) is an internationally-spreading viral pig disease that severely damages agricultural pork production and trade economy as well as social welfare in disease-affected regions. A comprehensive understanding of ASF risk factors is imperative for efficient disease control. As the absence of effective ASF vaccines limits disease management options, the identification and minimisation of ASF-associated risk factors is critical to preventing ASF outbreaks. Here, we compile currently known potential ASF risk factors identified through a systematic literature review. We found 154 observation-based and 1239 potential ASF risk factors, which we were able to group into the following defined risk categories: ‘ASF-virus’, ‘Biosecurity’, ‘Disease control’, ‘Environment’, ‘Husbandry’, ‘Movement’, ‘Network’, ‘Pig’, ‘Society’ and ‘Surveillance’. Throughout the epidemiological history of ASF there have been similar risk categories, such as ‘Environment’-related risk factors, predominantly reported in the literature irrespective of the ASF situation at the time. While ASF risk factor reporting has markedly increased since 2010, the majority of identified risk factors overall have referred to domestic pigs. The reporting of risk factors for ASF in wild boar mostly commenced from 2016 onwards. The compendium of ASF risk factors presented herein defines our current knowledge of ASF risk factors, and critically informs ASF-related problem solving.

Designing a clear and structured research question facilitates the research process and increases the chances of success. The characteristics of the PICO format (P: Study population or participants; I: Intervention; C: Comparison; and O: the expected Outcome or effect of the intervention) and other alternatives that have been proposed are discussed. later: PECO (Population, Exposure, Comparison, O-result), SPIDER (Sample-sample, PI-Phenomenon of Interest- phenomenon of interest, Design-design, Evaluation- evaluation and Research type or type of investigation) and FINER (Feasible -feasible, Interesting-interesting, Novel-novel, Ethical-ethical and Relevant-relevant). The teaching of these formats and their practice in teaching settings will facilitate their introduction among young researchers. El diseño de una pregunta de investigación clara y estructurada facilita el proceso de investigación y aumenta las probabilidades de éxito. Se comentan las características del formato PICO (P: Población de estudio o participantes; I: Intervención; C: Comparación; y O: el Resultado (Outcome, en inglés) esperado o efecto de la intervención) y de otras alternativas que se han propuesto posteriormente: PECO (Población, Exposición, Comparación, O-resultado), SPIDER (Sample-muestra, PI-Phenomenon of Interest- fenómeno de interés, Design-diseño, Evaluation- valuación y Research type o tipo de investigación) y FINER (Feasible-factible, Interesting-interesante, Novel-novedoso, Ethical-ético y Relevant-relevante). La enseñanza de estos formatos y su práctica en escenarios docentes facilitará su introducción entre los/as jóvenes investigadores/as.

Meta‐analysis refers to the statistical combination (pooling) of data from multiple original research studies. The results from different studies on the same topic can vary, and meta‐analysis provides a means of summarizing a parameter or effect across studies to develop a more precise estimate of the outcome of interest (1). The combination of data from multiple studies can be undertaken using two broad approaches: combining individual‐level data from multiple studies or combining study‐level results (effect sizes) from multiple studies (1). The former requires the meta‐analyst to have access to all of the original data from each study subject for each study and is therefore not commonly seen in the preharvest food safety literature (2), although databases of microbial growth and inactivation kinetics for foodborne pathogens are available and growing (3). Therefore, this chapter will focus on meta‐analysis in the context of combining effect sizes from multiple studies to calculate a summary effect size.

Peco Trajcevski, 26, who plays for the Rockdale Suns, appeared in Parramatta Bail Court charged with committing the offence at Newtown on April 14.

Peco Trajcevski, 26, who plays for the Rockdale Suns, appeared in Parramatta Bail Court charged with committing the offence at Newtown on April 14.

Theresa Alison, whose nephew Henry Peco was shot to death by police officers in the Imperial Courts housing project, said the group that sponsored the protest, Mothers Reclaiming our Children, was \"not out here trying to start a war.\" A district attorney report concluded that no officers should be criminally charged in the Peco shooting. Two bystanders said Peco had fired on officers after they were called to the scene during a power outage.