bluuebunny/crossref_metadata_2025_split huggingface dataset:
A deep neural network model of the primate superior colliculus for emotion recognition
Authors: Méndez Carlos Andrés , Celeghin Alessia , Diano Matteo , Orsenigo Davide , Ocak Brian , Tamietto Marco 
Published: September 2022

Although sensory processing is pivotal to nearly every theory of emotion, the evaluation of the visual input as ‘emotional’ (e.g. a smile as signalling happiness) has been traditionally assumed to take place in supramodal ‘limbic’ brain regions. Accordingly, subcortical structures of ancient evolutionary origin that receive direct input from the retina, such as the superior colliculus (SC), are traditionally conceptualized as passive relay centres. However, mounting evidence suggests that the SC is endowed with the necessary infrastructure and computational capabilities for the innate recognition and initial categorization of emotionally salient features from retinal information. Here, we built a neurobiologically inspired convolutional deep neural network (DNN) model that approximates physiological, anatomical and connectional properties of the retino-collicular circuit. This enabled us to characterize and isolate the initial computations and discriminations that the DNN model of the SC can perform on facial expressions, based uniquely on the information it directly receives from the virtual retina. Trained to discriminate facial expressions of basic emotions, our model matches human error patterns and above chance, yet suboptimal, classification accuracy analogous to that reported in patients with V1 damage, who rely on retino-collicular pathways for non-conscious vision of emotional attributes. When presented with gratings of different spatial frequencies and orientations never ‘seen’ before, the SC model exhibits spontaneous tuning to low spatial frequencies and reduced orientation discrimination, as can be expected from the prevalence of the magnocellular (M) over parvocellular (P) projections. Likewise, face manipulation that biases processing towards the M or P pathway affects expression recognition in the SC model accordingly, an effect that dovetails with variations of activity in the human SC purposely measured with ultra-high field functional magnetic resonance imaging. Lastly, the DNN generates saliency maps and extracts visual features, demonstrating that certain face parts, like the mouth or the eyes, provide higher discriminative information than other parts as a function of emotional expressions like happiness and sadness. The present findings support the contention that the SC possesses the necessary infrastructure to analyse the visual features that define facial emotional stimuli also without additional processing stages in the visual cortex or in ‘limbic’ areas.This article is part of the theme issue ‘Cracking the laugh code: laughter through the lens of biology, psychology and neuroscience’.
Research Mentorship in Low and Middle-Income Countries: A Global Qualitative Evidence Synthesis of Data from a Crowdsourcing Open Call and Scoping Review
Authors: Kpokiri Eneyi E. , McDonald Kamryn , Gebreyohannes Joseph A. , Osorio Lyda , Nath Tilak Chandra , Talavera-Urdanivia Victor A. , Akinwale Pheabian O. , Manabe Yuka C. , Castelnuovu Barbara , Tang Weiming , Yilma Daniel , Mihut Michael , Ezechi Oliver , Iwelunmor Juliet , Kaba Mirgissa , Abdissa Alemseged , Tucker Joseph D. 
Published: September 2022

AbstractIntroductionResearch mentorship is critical for advancing science, but there are few practical strategies for cultivating research mentorship in resource-limited settings. WHO/TDR Global commissioned a group to develop a practical guide on research mentorship. This global qualitative evidence synthesis included data from a crowdsourcing open call and scoping review to identify strategies to enhance research mentorship in low- and middle-income country (LMIC) institutions.MethodsThe crowdsourcing open call used methods recommended by WHO/TDR and solicited descriptions of strategies to enhance research mentorship in LMICs. The scoping review used the Cochrane Handbook and pre-defined the approach in a protocol. We extracted studies focused on enhancing research mentorship in LMICs. Textual data describing research mentorship strategies from the open call and studies from the scoping review were coded into themes. The quality of evidence supporting themes was assessed using the CERQUAL approach.ResultsThe open call solicited 123 practical strategies and the scoping review identified 73 studies. We identified three broad trends related to engaging institutions across the life cycle of research mentorship, leveraging existing resources for research and training to expand research mentorship, and strengthening monitoring and evaluation of research mentorship programs. We identified the following strategies to enhance research mentorship: recognizing mentorship as an institutional responsibility that should be provided and expected from all team members (8 strategies, 15 studies; moderate confidence); leveraging existing research and training resources to enhance research mentorship (15 strategies, 49 studies; moderate confidence); digital tools to match mentors and mentees and sustain mentorship relations over time (14 strategies, 11 studies; low confidence); nurturing a culture of generosity so that people who receive mentorship then become mentors to others (7 strategies, 7 studies; low confidence); peer mentorship defined as informal and formal support from one researcher to another who is at a similar career stage (16 strategies, 12 studies; low confidence).InterpretationResearch mentorship can be strengthened in resource-limited institutions. The evidence from this open call and scoping review informed a WHO/TDR practical guide. More research mentorship programs are needed in LMIC institutions.
A numerical study of the Burgers’ and Fisher’s equations using barycentric interpolation method
Authors: Mittal R.C. , Rohila Rajni 
Published: September 2022

Purpose
The purpose of the method is to develop a numerical method for the solution of nonlinear partial differential equations.

Design/methodology/approach
A new numerical approach based on Barycentric Rational interpolation has been used to solve partial differential equations.

Findings
A numerical technique based on barycentric rational interpolation has been developed to investigate numerical simulation of the Burgers’ and Fisher’s equations. Barycentric interpolation is basically a variant of well-known Lagrange polynomial interpolation which is very fast and stable. Using semi-discretization for unknown variable and its derivatives in spatial direction by barycentric rational interpolation, we get a system of ordinary differential equations. This system of ordinary differential equation’s has been solved by applying SSP-RK43 method. To check the efficiency of the method, computed numerical results have been compared with those obtained by existing methods. Barycentric method is able to capture solution behavior at small values of kinematic viscosity for Burgers’ equation.

Originality/value
To the best of the authors’ knowledge, the method is developed for the first time and validity is checked by stability and error analysis.
The perils of hospitality internship: a growth curve approach to job motivation change
Authors: Xu Shi , (CJ) Lin Zhiwei , He Mang , Wong IpKin Anthony 
Published: September 2022

Purpose
Why would a hospitality or tourism enterprise’s talent program backfire to demotivate interns from engaging in their jobs? This study aim to synthesize theoretical strands from the self-determination theory, person–environment fit theory and conservation of resources theory to investigate the predictors of perceived person–job fit and how such a fit causes changes in interns’ job motivation over time.

Design/methodology/approach
A four-wave longitudinal study was conducted. The four waves of data obtained from over 251 interns in China were analyzed using latent growth curve modeling.

Findings
The findings demonstrate that abusive co-worker treatment moderated the impact of perceived negative social status and perceived overqualification on perceived person–job fit. Moreover, perceived person–job fit is a significant predictor of the initial level of job motivation and flattens the decrease in job motivation over time. These findings demonstrate that interns’ job motivation generally decreased over time, and perceived person–job fit may help dampen the change trajectory of job motivation.

Practical implications
This study contributes to the practice of education and organizations in hospitality and tourism management by advocating for better interventions to improve interns’ work experience and motivations. Also, organizations can create team-building opportunities and promote teamwork that contributes to the formation of cohesive relationships and improve personal bonding.

Originality/value
This longitudinal inquiry conducted in China underscores the perils of hospitality/tourism internship by synthesizing a framework based on the theoretical strands germane to person–environment fit, resource conservation and self-determination. It uncovers the dark side of internship – not only due to mismanaged internship experience, but also because it could backfire to create a demotivational spiral that may ultimately drive potential talents away from hospitality/tourism organizations and industry.
Mind the gap: theories in Islamic accounting and finance, Islamic economics and business management studies
Authors: Mukhlisin Murniati , Ismail Nurizal , Jamilah Fikri Reza 
Published: September 2022

PurposeThis study aims to analyse whether theories and views of classical Islamic scholars are widely adopted as references in Islamic accounting and finance (IAF), Islamic economics (IE) and Islamic business management (IBM) research studies as part of their contribution to solving current economic and financial problems.Design/methodology/approachThe research adopts a qualitative meta-analysis methodology using NVivo 12 with selected data from 474 international journal articles published between 1981 and 2021. The study considers 172 IAF articles, 111 IE articles and 191 IBM articles.FindingsThe results of the study show that the use of theories and views of classical Islamic scholars is not widespread among the examined research papers. The findings show that 90% of researchers tend to acquire modern economics, management, psychological and sociological theories instead of classical theories. Both modern and classical theories have been discussed in the studied articles namely agency theory, stakeholders' theory, ḥisbah (accountability), maqāṣid al-Sharīʿah (objectives of Islamic law) and waʿd (unilateral promise). The gaps prevail not only in the taxonomy of terms but also in the choice of paradigm references. It is found that 66% of the 474 journal articles adopt a positivist paradigm, followed by interpretivism (19%), post-structuralism (9%) and critical orientation (6%).Research limitations/implicationsThis paper considers only ABS ranking journal articles. Future research may consider other journal articles from different ranking groups such as Scopus or Thomson & Reuters.Practical implicationsThe paper sheds light on how Islamic educational institutions can develop strategies for the Integration of Knowledge (IOK) in their curriculum.Social implicationsThis paper helps to shape the Muslims' way of thinking within an Islamic worldview which will lead to an Islamic way of expressing knowledge, skill and behaviour.Originality/valueThis paper contributes to the model of IOK that has been deliberated among Islamic universities, especially those that develop IAF, IE and IBM studies.
An evaluation model for task complexity in production lines
Authors: Le Song Thanh Quynh , Huynh Van Nam 
Published: September 2022

PurposeTask complexity is one of the significant factors that influences and is used for forecasting employee performance and determining labor cost. However, the complexity level of tasks is unstructured, dynamic and complicated to perform. This paper develops a new method for evaluating the complexity level of tasks in the production process to support production managers to control their manufacturing systems in terms of flexibility, reliability to production planning and labor cost.Design/methodology/approachThe complexity level of tasks will be analyzed based on the structuralist concept. Using the structure of task, the factors that significantly affect the task complexity in an assembly line will be defined, and the complexity level of the task will be evaluated by measuring the number of task components. Using the proportional 2-tuples linguistic values, the difference between the complexity levels of tasks can be compared and described clearly.FindingsBased on the structure of the task, three contributory factors including input factors, process-operation factors and output factors that significantly affect the task complexity in an assembly line are identified in the present study. The complexity level of the task is quantified through analyzing the details of the three factors according to two criteria and six sub-criteria within the textile case study.Originality/valueThe proposed approach provides a new insight about the factors that have an effect on the complexity of tasks in production and remedies some of limitations of previous methods. The combination of experts' experience and scientific knowledge will improve the accuracy in determining the complexity level of tasks.
Gendered predictors of the impact of COVID-19 on cross-border fish trade in Zambia and Malawi
Authors: Mwema Catherine Mawia , Mudege Netsayi Noris , Kakwasha Keagan 
Published: September 2022

PurposeWhile the literature has highlighted the impacts of COVID-19, there is limited evidence on the gendered determinants of the impact of COVID-19 among small-scale rural traders in developing and emerging economies.Design/methodology/approachCross-border fish traders who had operated before and during the COVID-19 pandemic were interviewed in a survey conducted in Zambia and Malawi. Logistic regressions among male and female traders were employed to assess the gendered predictors.FindingsHeterogeneous effects in geographical location, skills, and knowledge were reported among male cross-border traders. Effects of household structure and composition significantly influenced the impact of COVID-19 among female traders. Surprisingly, membership in trade associations was associated with the high impact of COVID-19.Research limitations/implicationsDue to the COVID-19 pandemic and the migratory nature of cross-border fish traders, the population of cross-border fish traders at the time of the study was unknown and difficult to establish, cross-border fish traders (CBFT) at the landing sites and market areas were targeted for the survey without bias.Originality/valueThis paper addresses a gap in the literature on understanding gendered predictors of the impacts of COVID-19 among small-scale cross-border traders.
A closer look at farmers’ participation in the supermarket supply chain using bibliometric and content analyses
Authors: Saini Mayank , Chandna Garima , Ubba Savita 
Published: September 2022

Purpose The objective of the study is to systematically review the existing research in the topical domain of farmers’ direct link with supermarkets. The authors present a state-of-the-art structure of the field and provide directions for future research in the domain. The major aim of this study is to synthesize the research field and answer some specific questions, like what do we know about this field and where should we be heading.Design/methodology/approach A pool of 275 articles published from 2002 to 2022 were retrieved from the Scopus database and analyzed using the R-based Biblioshiny and visualized using VOSviewer. The research design is a mix of quantitative bibliometric technique and qualitative content analysis. Bibliometric method ensures the objectivity while content analysis ensures the scholarly evaluation.Findings Major findings include production trend, dominant keywords, leading publication outlets and country-wise analysis of the selected articles. The authors found that sub-domains like economic aspects, participation hurdles and the rise of supermarkets are the most researched topics while operational issues, their pragmatic solutions, sustainability and innovation are the emerging sub-fields that need more academic attention.Research limitations/implications The major limitation is the use of single data source, i.e. Scopus, and it is quite possible that useful studies that are not covered by Scopus remain excluded.Originality/value This study is one of the first attempts to systematically review the previous research on the selected topic. It will help researchers to understand the present status, identify future research directions, and pursue more reasonable and relevant topics of research.
Impact of cross-docking on the bullwhip effect
Authors: Benrqya Yassine , Jabbouri Imad 
Published: September 2022

Purpose
An important phenomenon often observed in supply chain, known as the bullwhip effect, implies that demand variability increases as we move up in the supply chain. On the other hand, the cross-docking is a distribution strategy that eliminates the inventory holding function of the retailer distribution center, where this latter functions as a transfer point rather than a storage point. The purpose of this paper is to analyze the impact of cross-docking strategy compared to traditional warehousing on the bullwhip effect.

Design/methodology/approach
The authors quantify this effect in a three-echelon supply chain consisting of stores, retailer and supplier. They assume that each participant adopts an order up to level policy with an exponential smoothing forecasting scheme. This paper demonstrates mathematically the lower bound of the bullwhip effect reduction in the cross-docking strategy compared to traditional warehousing.

Findings
By simulation, this paper demonstrates that cross-docking reduces the bullwhip effect upstream the chain. This reduction depends on the lead-times, the review periods and the smoothing factor.

Research limitations/implications
A mathematical demonstration cannot be highly generalizable, and this paper should be extended to an empirical investigation where real data can be incorporated in the model. However, the findings of this paper form a foundation for further understanding of the cross-docking strategy and its impact on the bullwhip effect.

Originality/value
This paper fills a gap by proposing a mathematical demonstration and a simulation, to investigate the benefits of implementing cross-docking strategy on the bullwhip effect. This impact has not been studied in the literature.
Effects of self-efficacy and learning environment on Hong Kong undergraduate students’ academic performance in online learning
Authors: Kuan Francis C.Y. , Lee Stephanie Wing 
Published: September 2022

PurposeThis paper aims to illustrate the importance of the quality of Online Learning Physical Environment (OLPE) and Online Learning Self-efficacy (OLSE) in predicting academic performance in online learning, which was the primary mode of teaching during the outbreak of COVID-19 in Hong Kong. Policy recommendations were made based on the findings from a psychological perspective.Design/methodology/approachResponses from 104 Hong Kong undergraduate students were collected through a questionnaire survey. Data were analysed using multiple linear regression, simple linear regression, and Pearson correlation.FindingsDespite the fact that OLSE showed no significant direct effect on academic performance in online learning, OLSE was positively correlated with and predictive of OLPE, while OLPE was positively correlated with and predictive of online learning performance. The findings indicated that undergraduate students from low-income families tended to have less superior academic performance, which was associated with poorer OLPE and OLSE.Originality/valueThe findings suggested that in order to alleviate learning inequality in online learning, policy makers may allocate funding to enhance OLPE and OLSE of undergraduate students from low-income families.
Determination of the geographic origin of 52 honey samples based on the assessment of anionic content profiling with a new algorithm using monolithic column‐based micellar nano‐liquid chromatography
Authors: Aslan Hakiye , Günyel Zeynep , Sarıkaya Turan , Golgiyaz Sedat , Aydoğan Cemil 
Published: September 2022

AbstractIn the present study, a new micellar nano LC‐UV was, for the first time, reported for the separation and determination of five anions (chloride, nitrite, bromide, sulfate and nitrate) in 52 honey samples. Based on this approach, a graphene oxide‐based monolithic column was prepared and applied for the samples. Various amounts of hexadecyltrimethyl‐ammonium bromide (HTAB) in the mobile phase were used in order to optimize the separation conditions. The baseline separation was achieved using mobile phase with 25/75% (v/v) ACN/10 mM phosphate buffer at pH 3.4, while the amount of HTAB was optimized as 0.22 mM in the mobile phase. The whole method was validated and it leads to high sensitivity. The LOD values were found in the range of 0.02–0.22 µg/kg, while LOQ values were found in the range of 0.06–0.18 µg/kg. The method allowed to achieve sensitivity analyses of anionic content in 52 honey samples. All data were evaluated using a new algorithm for geographic origin discrimination. K‐nearest neighbor algorithm (K‐NN), cubic support vector classifier (K‐DVS), and K‐Mean cluster analysis were used for geographic origin discrimination of honeys. The accuracy of the whole model was calculated as 94.4% with the K‐DVS method. The samples from five provinces were classified 100% correctly, while two of them were classified with one misclassification, with an accuracy of 89.9% and 83.3%, respectively.Practical ApplicationThe new platforms and advanced technologies are crucial for advanced food analysis. In this article, a novel methodology was attempted for the determination of geographic origin of 52 honey samples. In this sense, micellar nano LC technique with a homemade monolithic nano‐column was, for the first time, applied for the anion analysis using a new algorithm.
Transiting to green growth in fossil export‐dependent economies: A pathway for Africa
Authors: Oramah Benedict 
Published: September 2022

AbstractDivestment from fossil fuels has been at the heart of global climate discourse. For developing countries that have traditionally been less emitters and at the receiving end of the severest economic impact of climate change, a sweeping divestment could lead to serious socio‐economic and political consequences. African countries must collectively adapt energy transition to local context and pursue a pragmatic approach that ensures a gradual transition from fossil fuels to a green economy. The African Continental Free Trade Agreement (AfCFTA) presents a unique platform for Africa to achieve net‐zero emissions by continued investments in fossil fuels while drastically cutting emissions arising from current externalised supply chains because AfCFTA will promote cleaner regional supply chains. Africa's fossil fuel‐dependent economies must redirect current fossil revenues into creating non‐fossil‐based industries while making a gradual‐but‐steady shift from fossil fuel as the source of fiscal revenues. African Export–Import Bank (Afreximbank) is partnering with the African Petroleum Producers Organisation (APPO) to establish an institutional structure, the African Energy Transition Bank that will support African fossil fuel‐dependent economies to achieve a smooth and orderly transition to green economies.