bluuebunny/crossref_metadata_2025_split huggingface dataset:
Organisational learning in small and medium sized South African energy project organisations
Authors: Venkatachalam Senthilkumar , Marshall Alasdair , Ojiako Udechukwu , Chanshi Chamabondo Sophia 
Published: October 2019

Purpose
The purpose of this paper is to explore, using fine-grained exploratory multi-case studies, organisational learning practices – and associated constraints – impacting the performance of four small- and medium-sized project organisations which deliver energy efficiency projects in South Africa and whose learning practice mixes are of wider significance for the emerging project society in the region.

Design/methodology/approach
The unit of analysis is the Energy Efficiency Demand Side Management (EEDSM) programme; a US$104m grant funded the initiative directed at supporting energy efficient retro-fit projects across local municipalities in South Africa. Thematic analysis is undertaken, based on multiple exploratory interviews with project practitioners working for small- and medium-sized EEDSM project organisations.

Findings
Recognising the criticality of tacit knowledge as a focus for learning, within unstructured, novel, non-routine and technically specialised learning contexts in particular, the widespread lack of organisational harnessing through linkages to strategy and performance are noted, and advocacy is offered for the development of appropriate learning cultures linked to communities of practice that bring specialists together from across regional project societies.

Research limitations/implications
The socio-political context of the EEDSM programme, although briefly addressed for its organisational cultural implications, was not given detailed consideration in the exploratory interviews. This would have enhanced the idiographic complexity of the findings, while also reducing prospects for distilling generalisable organisational learning improvement opportunities for emerging project societies. However, the study does not seek to provide evidence for specific learning practice effects on performance as this was not something the interviewees felt able to comment on in significant detail.

Originality/value
Learning practice studies for small- and medium-sized project organisations remains sparse, so are studies of business environments within developing countries, in general, or sub-Saharan Africa, in particular. Looking beyond narrow individual project views of performance, the present study’s project society-based business environment is theorised as both constraining and benefiting from the project-learning practices discussed by the respondents.
Is religion (interest) an impediment to Nigeria’s financial inclusion targets by the year 2020?
Authors: Umar Umar Habibu , Ado Muhammad Bilyaminu , Ayuba Habibu 
Published: October 2019

Purpose
The purpose of this study is to establish whether religion (interest) is an impediment to Nigeria’s financial inclusion targets to be achieved by the year 2020.

Design/methodology/approach
The data were collected through semi-structured interviews and documentary evidence. Thematic analysis was used to analyze the interview responses.

Findings
It was found that all the Central Bank of Nigeria (CBN) programs that contribute toward achieving financial inclusion are interest-based ones. Further, none of them provides a non-interest window except Commercial Agricultural Credit Schemes (CACS). Even the CACS is not fully Shari’a-compliant, as it requires further modification. Despite the fact that interest is condemned in Islam, a majority of Muslims have been found to be accessing interest-based funds. Hence, interest is not a factor that hinders the achievement of reducing Nigeria’s financial exclusion rate to 20 per cent by the year 2020.

Research limitations/implications
This study inquired into the programs under the Development Finance Department of the CBN by using semi-structured interviews and documentary evidence. Other programs of the federal government, state governments, NGOs and other private organizations and individuals are not considered. The findings have pointed out the areas to conduct future studies on religion and financial inclusion.

Practical implications
Although Muslims who complained about interest are a minority, there is the need to provide non-interest windows in the programs before they start shunning these programs, as a lot influential Muslim scholars are currently preaching against the interest.

Originality/value
The paper is one of the few studies that support the view that interest does not hinder the achievement of financial inclusion in a Muslim majority country.
Optimization of adhesion of poly lactic acid 3D printed onto polyethylene terephthalate woven fabrics through modelling using textile properties
Authors: Eutionnat-Diffo Prisca Aude , Chen Yan , Guan Jinping , Cayla Aurélie , Campagne Christine , Zeng Xianyi , Nierstrasz Vincent 
Published: October 2019

Purpose
This paper aims to evaluate and simulate the impact of the build platform temperature of the three-dimensional (3D) printer, the structure and heat transfer of textiles on the adhesion and durability after washing properties of 3D printed polymer onto textile materials using thin layers of conductive and non-conductive extruded poly lactic acid monofilaments (PLA) deposited on polyethylene terephthalate (PET) woven fabrics through fused deposition modeling (FDM) process.

Design/methodology/approach
Prior to FDM process, thermal conductivity, surface roughness and mean pore size of PET woven fabrics were assessed using the “hot disk,” the profilometer and the capillary flow porometry methods, respectively. After the FDM process, the adhesion and durability after the washing process properties of the materials were determined and optimized based on reliable statistical models connecting those properties to the textile substrate properties such as surface roughness, mean pore size and thermal conductivity.

Findings
The main findings point out that higher roughness coefficient and mean pore size and lower thermal conductivity of polyester woven textile materials improve the adhesion properties and the build platform presents a quadratic effect. Additionally, the adhesion strength decreases by half after the washing process and rougher and more porous textile structures demonstrate better durability. These results are explained by the surface topography of textile materials that define the anchorage areas between the printed layer and the textiles.

Originality/value
This study is for great importance in the development of smart textiles using FDM process as it presents unique and reliable models used to optimize adhesion resistance of 3D printed PLA primary layer onto PET textiles.
Commentary to “Ac-counting for carbon emissions: simulating absence through experimental sites of material politics”
Authors: Faria Pedro Cabral Santiago 
Published: October 2019

Purpose
This paper aims to elaborate on the concept of avoided emissions, as a topical issue in the carbon accounting debate, both in practice and in academia. It is a commentary on the paper by Revellino (2019) who analyses an avoided emissions technology in the transport sector.

Design/methodology/approach
This is a commentary based on secondary data analysis.

Findings
This commentary reviews the history of quantification for avoided emissions and elaborates on three major challenges that project using “avoided emissions” face. This commentary is also a reflection on why avoided emissions calculations are needed in a world of transition, and how this leads to the concept being used and abused while being central to the building of new foundations.

Practical implications
The commentary flags a few areas that could be research focus areas in future.

Social implications
This paper can lead to changes in the public perception of “avoided emissions” and corporate claims around emission avoidance.

Originality/value
This commentary outlines clear avenues for research, asking notably to reflect on the acceptable uses and acceptable claims related to avoided emissions.
Theoretical foundations of analytical psychology: recent developments and controversies
Authors: Roesler Christian 
Published: October 2019

AbstractThis article gives an introductory overview of the papers in this volume originally given at the Joint Conference of the IAAP and the University of Basel, Basel, October 18‐20, 2018. The aim of the conference was to bring core concepts of analytical psychology together with theorizing and research from academic sciences, at the very place where Jung started his academic career, the University of Basel. The conference focussed on three fields: the relationship of consciousness and the unconscious and the theory of complexes; the theory of archetypes; and the status of analytical psychotherapy in contemporary psychotherapy research. The aim of the conference was to further the development of theory in analytical psychology in relation to results and insights in contiguous areas of knowledge. In the first area, contributors pointed to the solid evidence especially from the neurosciences for the psychodynamic conceptualizations of the unconscious, and also for the concept of complexes. In contrast to this, the concept of archetypes is controversial, with a majority of contributors questioning Jung’s biological conceptualizations of archetypes, and speaking instead for reformulations from the perspective of cultural theory, dynamic systems theory and other approaches. In the field of psychotherapy research, contributors pointed to the profound need for conducting more empirical studies on the outcome of Jungian psychotherapy, but also for a thorough reconsideration of standard research designs in the field.
The controversy around the concept of archetypes and the place for an emergent/developmental model
Authors: Merchant John 
Published: October 2019

AbstractThis paper addresses two key controversial questions to do with the concept of archetypes – do they operate autonomously without connection to an individual's personal life experience? Does their biological base mean they are genetically determined, innate and thus a priori inherited psychic structures? These questions are addressed through the case of a person who began life as an unwanted pregnancy, was adopted at birth and as an adult, experienced profound waking visions. An emergent/developmental model of archetype is outlined which stresses developmental start‐points through this infant's engagement via response and reaction to the affective and material world of the infant/birth mother matrix and from which emergence later occurs by way of participation in a socio‐cultural and material context. The emergentism aspect of this model rescues it from being reductionist since it allows for cultural and socialisation inputs. The model's explanatory power is vastly enlarged by combining this with the developmental component. Critically, once developmentally produced mind/brain (image schema) structures are in place, they have the capacity to generate psychological life. Imagery can then appear as if it is innately derived when that is not the case. The contemporary neuroscience which supports this model is both outlined and related back to the case example.
Competitive Storage, Biofuels and the Corn Price
Authors: Gilbert Christopher L. , Mugera Harriet Kasidi 
Published: October 2019

AbstractThe use of corn as an ethanol feedstock has been stimulated by US biofuels policy. This has changed both the position and the slope of the corn demand curve and increased the pass‐through from crude oil to corn prices. The principal constraints on ethanol consumption and production have been regulation (the biofuels mandate), capacity constraints in ethanol refining and the blend wall, which puts a ceiling on the ethanol content of gasoline. The incidence of these constraints has varied over time. We model these impacts within the competitive storage model using structural break regression analysis. Our analysis shows that the pass‐through has varied over time in relation to the share of ethanol in total US corn use. Our analysis provides robust empirical evidence of an increase in the pass‐through from crude oil to corn prices over the period from the start of the century to a high level over 2004–2008 when corn use in ethanol was growing very fast. This enhanced sensitivity was driven by competition for corn as an ethanol feedstock with stock demand exerting strong upward pressure on the corn price.
Prognostic Impact of Early Versus Late Initiation of Renal Replacement Therapy Based on Early Warning Algorithm in Critical Care Patients With Acute Kidney Injury
Authors: Tekdöş Şeker Yasemin , Çukurova Zafer , Özel Bilgi Deniz , Hergünsel Oya 
Published: October 2019

AbstractThe aim of our study is to evaluate the impact of early vs. late initiation of continuous renal replacement therapy (CRRT), defined by clinical information system (CIS) software using an early warning algorithm based on acute kidney injury network (AKIN) stages, on survival outcome of critically ill intensive care unit (ICU) patients with acute kidney injury (AKI). Of 1144 patients (mean [SD] age: 61.3 [17.9] years, 57.7% were males) hospitalized in ICU over a 2‐year‐period from January 2016 to December 2017, a total of 272 patients who had developed AKI requiring CRRT were included in this retrospective cross‐sectional study. Data on patient demographics (age, gender), reason for ICU hospitalization, AKIN stage, Sequential Organ Failure Assessment (SOFA) score, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, indications for CRRT, and time of CRRT initiation with respect to AKIN early warning algorithm were retrieved from hospital records and the CIS software database. Survivorship status was assessed based on total, in‐hospital and 90‐day post‐discharge mortality rates and analyzed with respect to CRRT onset before vs. after AKIN alarm. CRRT was initiated before the AKIN alarm in 41(15.0%) patients, and after the AKIN alarm in 231(85.0%) patients involving treatment within 0–24 h of alarm in 146 (63.2%) patients and within 24–120 h of alarm in 85 (36.8%) patients. Mortality occurred in 175 (64.3%) patients involving 25 (61.0%) out of 41 patients who received CRRT before AKIN alarm and 150 (64.9%) out of 231 patients who received CRRT after AKIN alarm. Mortality rate was significantly higher in those who received CRRT 24–120 h vs. 0–24 h after the AKIN alarm (82.4% vs. 54.8%, P < 0.001). Pre‐ and post‐CRRT SOFA scores were significantly lower in patients who received CRRT 0–24 h vs. 24–120 h after the AKIN alarm (P = 0.009 and P = 0.004, respectively), while pre‐CRRT APACHE II scores were significantly lower in patients who received CRRT before vs. after the AKIN alarm (P = 0.008). In conclusion, our findings indicate the potential role of using AKIN stage‐based early warning system in guiding time to start CRRT and improved survival in critically ill patients with AKI, provided that the CRRT was initiated within the early (first 24 h) of the alarming AKIN Stage II–III events. Future well‐designed clinical trials addressing early vs. late initiation of CRRT in critical care patients with AKI are needed to find and answer to the ongoing controversy and help clinicians in refining their indications for starting CRRT.
The utility of reptile blood transcriptomes in molecular ecology
Authors: Waits Damien S. , Simpson Dasia Y. , Sparkman Amanda M. , Bronikowski Anne M. , Schwartz Tonia S. 
Published: October 2019

AbstractReptiles and other nonmammalian vertebrates have transcriptionally active nucleated red blood cells. If blood transcriptomes can provide quantitative data to address questions relevant to molecular ecology, this could circumvent the need to euthanize animals to assay tissues. This would allow longitudinal sampling of animals’ responses to treatments, as well as sampling of protected taxa. We developed and annotated blood transcriptomes from six reptile species and found on average 25,000 proteins are being transcribed in the blood, and there is a CORE group of 9,282 orthogroups that are found in at least four of six species. In comparison to liver transcriptomes from the same taxa, approximately two‐thirds of the orthogroups were found in both blood and liver; and a similar percentage of ecologically relevant gene groups (insulin and insulin‐like signalling, electron transport chain, oxidative stress, glucocorticoid receptors) were found transcribed in both blood and liver. As a resource, we provide a user‐friendly database of gene ids identified in each blood transcriptome. Although on average 37% of reads mapped to haemoglobin, importantly, the majority of nonhaemoglobin transcripts had sufficient depth (e.g., 97% at ≥10 reads) to be included in differential gene expression analysis. Thus, we demonstrate that RNAseq blood transcriptomes from a very small blood sample (<10 μl) is a minimally invasive option in nonmammalian vertebrates for quantifying expression of a large number of ecologically relevant genes that would allow longitudinal sampling and sampling of protected populations.
Genetic assignment of individuals to source populations using network estimation tools
Authors: Kuismin Markku , Saatoglu Dilan , Niskanen Alina K. , Jensen Henrik , Sillanpää Mikko J. 
Published: October 2019

Abstract

Dispersal, the movement of individuals between populations, is crucial in many ecological and genetic processes. However, direct identification of dispersing individuals is difficult or impossible in natural populations. By using genetic assignment methods, individuals with unknown genetic origin can be assigned to source populations. This knowledge is necessary in studying many key questions in ecology, evolution and conservation.

We introduce a network‐based tool BONE (Baseline Oriented Network Estimation) for genetic population assignment, which borrows concepts from undirected graph inference. In particular, we use sparse multinomial Least Absolute Shrinkage and Selection Operator (LASSO) regression to estimate probability of the origin of all mixture individuals and their mixture proportions without tedious selection of the LASSO tuning parameter. We compare BONE with three genetic assignment methods implemented in R packages radmixture, assignPOP and RUBIAS.

Probability of the origin and mixture proportion estimates of both simulated and real data (an insular house sparrow metapopulation and Chinook salmon populations) given by BONE are competitive or superior compared to other assignment methods. Our examples illustrate how the network estimation method adapts to population assignment, combining the efficiency and attractive properties of sparse network representation and model selection properties of the L1 regularization. As far as we know, this is the first approach showing how one can use network tools for genetic identification of individuals' source populations.

BONE is aimed at any researcher performing genetic assignment and trying to infer the genetic population structure. Compared to other methods, our approach also identifies outlying mixture individuals that could originate outside of the baseline populations. BONE is a freely available R package under the GPL licence and can be downloaded at GitHub. In addition to the R package, a tutorial for BONE is available at https://github.com/markkukuismin/BONE/.
A primary canine and an impacted permanent canine with infection potentially induced an intracranial abscess
Authors: Nagata E , Nishiyama T , Yamashita M , Ishigami T , Oho T 
Published: October 2019

AbstractIntracranial abscess is a rare but life‐threatening disease. There have been no reports on intracranial abscess induced by the residual primary tooth and the impacted successive permanent tooth with infection. We report on an interesting case of a 29‐year‐old man suffering from an epidural abscess, potentially caused by an infection of the residual primary maxillary right canine and the impacted permanent maxillary right canine. The patient recovered completely after prolonged antibiotic treatment and extraction of both of the suspected teeth. Fusobacterium sp. was isolated from the culture of a peripheral blood sample. This case alerts us to realize that the lack of suitable and timely intervention in oral conditions might produce a harmful effect on general health.
Economic growth, convergence, and agricultural economics
Authors: Martin Will 
Published: October 2019

AbstractAfter nearly two centuries of lagging behind the industrial countries, growth in many developing countries has surged since the early 1990s. This outperformance has major implications for almost all areas of agricultural economics and, if continued, will likely do so into the future. This article aims to identify the key ways in which the changes in rich and poor country growth rates matter for agricultural economists, as a basis for formulating better research agendas. A key impact arises through sharp increases in demand for agricultural resources as demand for livestock products increases. This changing structure of food demand has important implications for nutrition studies and policies, with the emergence of a double burden of malnutrition. On the supply side, growth in developing countries tends to increase domestic food supply, which is also boosted by increases in research and development spending. Growth in developing countries both stimulates and benefits from increases in infrastructure investment, evaluation of which requires new analytical tools. Negative impacts include the contribution of increased demand for livestock products to global greenhouse gas emissions. In terms of trade policy, growth in developing country is tending to lead to convergence of agricultural policies with the pattern of assistance seen in today's developed countries, raising concerns about the future need to deal with collective action problems, particularly those that increase the volatility of world prices.
Bayesian density regression for discrete outcomes
Authors: Papageorgiou Georgios 
Published: October 2019

SummaryWe develop Bayesian models for density regression with emphasis on discrete outcomes. The problem of density regression is approached by considering methods for multivariate density estimation of mixed scale variables, and obtaining conditional densities from the multivariate ones. The approach to multivariate mixed scale outcome density estimation that we describe represents discrete variables, either responses or covariates, as discretised versions of continuous latent variables. We present and compare several models for obtaining these thresholds in the challenging context of count data analysis where the response may be over‐ and/or under‐dispersed in some of the regions of the covariate space. We utilise a nonparametric mixture of multivariate Gaussians to model the directly observed and the latent continuous variables. The paper presents a Markov chain Monte Carlo algorithm for posterior sampling, sufficient conditions for weak consistency, and illustrations on density, mean and quantile regression utilising simulated and real datasets.