bluuebunny/crossref_metadata_2025 huggingface dataset:
On the Subject of Corruption: “Community Contributions” and the Labour of Infrastructural Development in Post-Earthquake Nepal
Authors: Shneiderman Sara
Published: April 2023

This piece explores ethnographically how new “subjects” of corruption are formulated through discursive and practical negotiations over the appropriate behaviour of those who would have previously been understood as subalterns. I explore these questions in the context of a reconstruction project in post-conflict, post-earthquake Nepal. Newly rendered as “community members” and “users,” in the language of both governmental and non-governmental agencies, I suggest that residents of Nepal’s rural areas navigate rapidly evolving state structures, domestic labour markets, and transnational relationships by practicing new forms of agency that can put them at odds with the expectations of the external actors who offer resources and regulate their use.
New leptestherid clam shrimps (Pancrustacea: Branchiopoda: Spinicaudata: Leptestheriidae) from peninsular India
Authors: PADHYE SAMEER M. , KULKARNI MIHIR R. , PAGNI MARCO , RABET NICOLAS
Published: April 2023

Spinicaudatan clam shrimps are an evolutionarily ancient lineage restricted to temporary freshwater pools. Use of classical morpho-taxonomic approaches alone have led to some issues in the taxonomy of this group, which are now being resolved through integrative taxonomy. Here, we describe two new leptestherid spiny clam shrimps Leptestheria chalukyae sp. nov. and Leptestheria gomantaki sp. nov. from peninsular India based on their unique morphological characters and distinct phylogenetic position. We also re-describe Leptestheria nobilis and present an overview of the morphological characters of all the Indian leptestherids. Most of the conventional taxonomic characters appear to overlap among all the Indian species, although the combination of occipital condyle shape and the cercopod marginal spines arrangement in combination, appear to be useful in separating leptestherid species.
A new lizard species of the Liolaemus kingii group (Squamata: Liolaemidae) from northwestern Chubut province (Argentina)
Authors: SÁNCHEZ KEVIN I. , MORANDO MARIANA , AVILA LUCIANO J.
Published: April 2023

We describe Liolaemus attenboroughi sp. nov., a lizard distributed in the northwestern Patagonian Steppe of Chubut province (Argentina) previously confused with L. kingii (Bell 1843). Recent studies based on molecular evidence supports its evolutionary independence. Here we provide a morphological diagnosis of this lineage, comparisons between three molecular species delimitation methods, and an updated phylogeny of the L. kingii group. Based on current knowledge of its distribution, this new species is allopatric with geographically close species of the L. kingii group.
A Theory for the Response of Tropical Moist Convection to Mechanical Orographic Forcing
Authors: Nicolas Quentin , Boos William R.
Published: April 2023

Spatial patterns of tropical rainfall are strongly influenced by mountains. Although theories for precipitation induced by convectively stable upslope ascent exist for the midlatitudes, these do not represent the interaction of moist convection with orographic forcing. Here, we present a theory for convective precipitation produced by the mechanical interaction of a tropical ridge with a basic-state horizontal wind. Deviations from this basic state are represented as the sum of a “dry” perturbation, due to the stationary orographic gravity wave, and a “moist” perturbation that carries the convective response. The moist component dynamics are subject to the weak temperature gradient approximation; they are forced by the dry mode’s influence on lower-tropospheric moisture and temperature. Analytical solutions provide estimates of the precipitation distribution, including peak precipitation, upstream extent, and rain shadow extent. The theory can be used with several degrees of complexity depending on the technique used to compute the dry mode, which can be drawn from linear mountain wave theory or full numerical simulations. To evaluate the theory, we use a set of convection-permitting simulations with a flow-perpendicular ridge in a long channel. The theory makes a good prediction for the cross-slope precipitation profile, indicating that the organization of convective rain by orography can be quantitatively understood by considering the effect of stationary orographic gravity waves on a lower-tropospheric convective quasi-equilibrium state.
Stigma and Suicide From the Perspective of Balinese Adults
Authors: Valentina Tience Debora , Nurcahyo Firmanto Adi
Published: April 2023

Research on stigma toward suicide has grown dramatically but limited is studying in Bali, Indonesia. This qualitative research conducted to explore the stigma and suicide from Balinese perspective. Eighty-four Balinese Hindus participated in this study, which 27.38% of them had a history of suicidal thoughts or attempted suicide. Our research found that the cultural belief of Balinese view suicide as an act of ulah pati, which means taking death inappropriately and for an inappropriate reason, which carries the consequence that the suicidal person and the family will incur bad karma. Public stigma and self-stigma toward suicide exist among Balinese, i.e. the act of suicide due to a mental disorder and people who die by suicide are weak. The findings of this study suggest mental health professionals and local governments to pay attention to Balinese cultural belief and Hinduism religious teaching to prevent suicide.
Laboratory evaluation of the filtration behavior of three filters wrapped around drain pipes in fine tailings based on a radial flow test
Authors: Cui Xuan , Li Dongdong , Huang Jingqi , Han Yabing
Published: April 2023

Installing drain pipes is an effective way to control the height of the saturation line to improve the stability of tailings dams in mine projects. The filtration and clogging behaviors of filters wrapped around drain pipes have a great impact on their drainage capacity. This article presents results from radial filtration tests with drain pipes wrapped by filtration materials in fine-grained tailings. In the tests, three fibrous filters with different production technologies were used under different hydraulic conditions. The test results were interpreted based on the drainage characteristics of the system, the clogging characteristics and mechanism of each filter after testing, and the particle gradation passing through each filter. The results showed that the needle-punched nonwoven geotextiles had good soil retention properties and poor drainage properties, and one denser cake layer was formed upstream as the experiment progressed. For the heat-bonded nonwoven geotextiles with larger apertures and thinner thicknesses, there was a slight degree of clogging and acceptable drainage capacity. Steel wire mesh with a thinner thickness and homogeneous mesh structure seemed to offer the best anti-clogging and drainage performance by retaining coarse particles and washing out fine particles. Thus, it is inferred that drain pipes wrapped with steel wire mesh are a good choice for alleviating the physical clogging problem.
The carbon footprint of products used in five common surgical operations: identifying contributing products and processes
Authors: Rizan Chantelle , Lillywhite Robert , Reed Malcom , Bhutta Mahmood F
Published: April 2023

Objectives

Mitigating carbon footprint of products used in resource-intensive areas such as surgical operating rooms will be important in achieving net zero carbon healthcare. The aim of this study was to evaluate the carbon footprint of products used within five common operations, and to identify the biggest contributors (hotspots).

Design

A predominantly process-based carbon footprint analysis was conducted for products used in the five highest volume surgical operations performed in the National Health System in England.

Setting

The carbon footprint inventory was based on direct observation of 6–10 operations/type, conducted across three sites within one NHS Foundation Trust in England.

Participants

Patients undergoing primary elective carpal tunnel decompression, inguinal hernia repair, knee arthroplasty, laparoscopic cholecystectomy, tonsillectomy (March 2019 – January 2020).

Main outcome measures

We determined the carbon footprint of the products used in each of the five operations, alongside greatest contributors through analysis of individual products and of underpinning processes.

Results

The mean average carbon footprint of products used for carpal tunnel decompression was 12.0 kg CO2e (carbon dioxide equivalents); 11.7 kg CO2e for inguinal hernia repair; 85.5 kg CO2e for knee arthroplasty; 20.3 kg CO2e for laparoscopic cholecystectomy; and 7.5 kg CO2e for tonsillectomy. Across the five operations, 23% of product types were responsible for ≥80% of the operation carbon footprint. Products with greatest carbon contribution for each operation type were the single-use hand drape (carpal tunnel decompression), single-use surgical gown (inguinal hernia repair), bone cement mix (knee arthroplasty), single-use clip applier (laparoscopic cholecystectomy) and single-use table drape (tonsillectomy). Mean average contribution from production of single-use items was 54%, decontamination of reusables 20%, waste disposal of single-use items 8%, production of packaging for single-use items 6% and linen laundering 6%.

Conclusions

Change in practice and policy should be targeted towards those products making greatest contribution, and should include reducing single-use items and switching to reusables, alongside optimising processes for decontamination and waste disposal, modelled to reduce carbon footprint of these operations by 23%–42%.
Audiometric Variability of the Carhart Effect in Middle Ear Diseases – Pretreatment Analysis
Authors: Szpak Kamila , Wiatr Agnieszka , Wiatr Maciej
Published: April 2023

Objective

The assessment of bone conduction thresholds in patients with conductive hearing loss is not a full measure of the function of the inner ear due to the weakening of the influence of middle ear components on bone conduction. This relationship has been called the ‘Carhart effect’.

Methods

The retrospective analysis covered 977 patients diagnosed and treated for middle ear diseases from 2010 to 2020. The Carhart effect was considered to be an increase in the bone conduction threshold by a minimum of 10 dB relative to adjacent frequencies. The study was performed with the aim of assessing the presence of the Carhart effect in the course of middle ear diseases in pretreatment analysis.

Results

The Carhart effect was observed in 532 cases, most often in patients with chronic otitis media and otosclerosis. It was least often observed in patients with otitis media with effusion. In otitis media with effusion, the Carhart effect was more often noted for the frequency of 4000 Hz, in otosclerosis for the frequency of 2000 Hz. In patients with chronic otitis media, this effect for the frequency of 4000 Hz was correlated with the location of inflammatory changes in the attic area. The presence of inflammatory lesions in the oval window area was associated with the presence of the Carhart effect for the frequency of 2000 Hz.

Conclusions

1. The frequency of the Carhart effect observed in diseases of the middle ear does not depend on the disease entity but on the type and location of abnormalities in the middle ear. 2. The Carhart effect observed for the frequency of 4000 Hz coexists with the localization of lesions in the range of the malleus and incus, and for the frequency of 2000 Hz, it is partially associated with abnormalities in the range of stapes and oval window.
Calcification Detection in Intravascular Ultrasound (IVUS) Images Using Transfer Learning Based MultiSVM model
Authors: Arora Priyanka , Singh Parminder , Girdhar Akshay , Vijayvergiya Rajesh
Published: April 2023

Cardiovascular disease serves as the leading cause of death worldwide. Calcification detection is considered an important factor in cardiovascular diseases. Currently, medical practitioners visually inspect the presence of calcification using intravascular ultrasound (IVUS) images. The study aims to detect the extent of calcification as belonging to class I, II as mild calcification, and class III, IV as dense calcification from IVUS images acquired at 40 MHz. To detect calcification, the features were extracted using improved AlexNet architecture and then were fed into machine learning classifiers. The experiments were carried out using 14 real IVUS pullbacks of 10 patients. Experimental results show that the combination of traditional machine learning with deep learning approaches significantly improves accuracy. The results show that support vector machines outperform all other classifiers. The proposed model is compared with two other pre-trained models GoogLeNet (98.8%), SqueezeNet (99.2%), and exhibits considerable improvement in classification accuracy (99.8%). In the future other models such as Vision Transformers could be explored with additional feature selection methods such as ReliefF, PSO, ACO, etc. to improve the overall accuracy of diagnosis.
Library and information services’ reflections on emergency remote support and crisis-driven innovations during pandemic conditions
Authors: van Wyk Brenda
Published: April 2023

Crisis-driven innovation is needed to manage a scarcity in resources. The recent COVID-19 crisis exacerbated the prevailing digital exclusion in the education sector in particular. Sudden changes in otherwise stable higher education environments necessitated immediate and decisive innovation, particularly where education support services were concerned. This study reports on an academic library and information service’s reflections on emergency strategies implemented during the COVID-19 pandemic. This study was conceptualised through the lenses of existing digital exclusion frameworks and information poverty frameworks. The findings from the qualitative data gathered via focus group interviews emphasise the importance of emergency remote library and information services. The pandemic conditions and sudden remote service delivery model highlighted the prevailing socio-economic and socio-technical inequalities and exclusions among students. The value of the study lies in the reflections made on the institution-wide crisis-driven innovation strategy implemented, and the realisation that library and information services must offer active academic support. The study offers a library and information services model to prepare for future eventualities.
The Troubled Inheritance of Jean Vanier: Locating the Fatal Theological Mistakes
Authors: Brock Brian
Published: April 2023

Jean Vanier's life and teaching bore good fruit, but what is good was wrapped up from the very beginning with manipulative and abusive behaviors justified in theological language. For those of us who do not have access to the voices of the victims themselves, it is important to at least analyze the long-public writings of Fr. Thomas Philippe and Jean Vanier. Until now these were all that was available to those interested in the theology of L’Arche, and in them their erotico-mystical theology was hidden in plain sight. A close reading of these texts points to a deformed eschatology as the fatal theological doctrine Vanier inherited from Philippe. More precisely, eschatological concepts were deployed in order to declare traditionally prohibited sexual activities as licit, in being concieved as taking place beyond the mundane domain of everyday morality. A nuptial union taking place outside the ethics of normal Christian life brought affectionate union with God down into the contingency of everyday ethics in a manner that circumvented well-known church teachings about sexual ethics.
Low-cycle tensile fatigue performance of a wire rope strand with an internal flaw in varied position and direction
Authors: Chen Yuanpei , Qu Zhirui , Zhang Yu , Xu Jin , He Yituan , Zhou Jianting
Published: April 2023

Taking into account the effects of mean stress, elastic-plasticity and nonlinear contact, the finite element model of the tensile fatigue performance of an internal flawed wire rope strand is built by using the local stress strain method in the present study. A mesh model of the strand with a high-precision feature is established through a block-based method and refinement in the flaw region. The strand with a flaw is investigated to explore its fatigue life distribution, and the effects of the flaw’s position and direction on the strand’s fatigue and bearing performances are analyzed. The numerical results demonstrate that the low-cycle fatigue life zone occurs at the interwire contact region of the intact wire rope strand, while is located at the flaw region of the wire rope strand with an internally flawed wire. The minimum fatigue life of the wire rope strand decreases due to the occurrence of the internal flaw. Moreover, as the internal flaw’s direction angle decreases, the strand’s minimum fatigue life is reduced, and the internal flaw with the major axis perpendicular to the strand axis is the most dangerous. The internal flaw in the outer wire has a more severe influence on the fatigue property of the wire rope strand than a core wire flaw with the same dimension and direction. The wire rope strand is more prone to stress yielding due to the internal flaw, and the effect is getting more significant as the internal flaw’s direction angle decreases.
Influence of microwave sintering temperatures on mechanical and microstructural Behavior of Al/SiC/snail shell hybrid composite synthesized through powder metallurgy technique
Authors: Venkatesh Vavilada Satya Swamy , Rao Rajamalla Narasimha
Published: April 2023

This study emphasizes the synthesis of hybrid aluminum composite reinforced with SiC and Snail Shell (S-Shell) particles through the powder metallurgy technique. The hybrid composite corresponding to the optimized volume fraction of SiC and Snail shell powder (Al-6%SiC-6%S-Shell) was subjected to microwave-assisted sintering (MAS) by varying the sintering temperatures from 400°C to 550°C in steps of 50°C. Results concluded that microwave-sintered composites show superior mechanical characteristics than the composites sintered through conventional sintering techniques. The maximum ultimate tensile strength (U.T.S) of 316 MPa, and compression strength of 396 MPa were obtained for microwave sintered Al-6%SiC-6%Snail shell powder composite sintered at 500°C. However, increasing the sintering temperature above 500°C leads to a reduction in U.T.S and Compression strength due to the formation of coarse grains by absorbing the microwaves at higher temperatures. The U.T.S, Compression strength and Vickers hardness of the microwave sintered Al-6%SiC-6%Snail shell powder hybrid composite sintered at 500°C was enhanced by 42.08%, 42.4%, and 35.5% compared to conventionally sintered hybrid composite. The grain size was found to be increased with an increase in microwave sintering temperature due to the enhancement in the absorption capability of the microwaves with the temperature rise. The results of this study also suggest that choosing materials with a high microwave response helps to achieve improved mechanical properties for microwave-sintered composites.
Multi-agent deep reinforcement learning with actor-attention-critic for traffic light control
Authors: Wang Bin , He ZhengKun , Sheng JinFang , Liu YingXian
Published: April 2023

In recent years, with the increase of urbanization and car ownership, urban traffic congestion have become increasingly prominent. Traffic light control can effectively reduce urban traffic congestion. In the research of controlling traffic lights of multiple intersections, most methods introduced theories related to deep reinforcement learning, but few methods considered the information interaction between intersections or the way of information interaction is unreasonable. Inspired by this, this paper proposes a multi-agent deep reinforcement learning with actor-attention-critic network for traffic light control (MAAC-TLC) algorithm. In MAAC-TLC, each agent introduces the attention mechanism in the process of learning, so that it will not pay attention to all the information of other agents indiscriminately, but only focus on the important information of the agents that plays an important role in it, so as to ensure that all intersections can learn the optimal policy. Finally, the trafﬁc lights at each intersection in the MAAC-TLC algorithm are controlled according to its own policy, thereby improving the traffic efficiency of the traffic network. The experimental results on light and heavy traffic flow scenarios have demonstrated that MAAC-TLC can improve traffic congestion at multiple intersections effectively.
High-altitude airship variable-pitch propeller performance analysis at multiple altitudes
Authors: Dongchen Wang , Bifeng Song , Jun Jiao , Dong Xue
Published: April 2023

To achieve better propulsion performance for high-altitude airships, this paper proposes a variable-pitch propeller design and performance analysis. Propeller surrogate models were constructed based on an in-house fluid–structure solver and validated by a wind tunnel experiment. Based on the surrogate model, this paper studied propeller performance under the common influence of propeller pitch variation and rotational speed, and proved the positive effect of the variable-pitch propeller on maintaining relatively high efficiency in large rotational speed range. This paper compared the performance of variable-pitch propellers and fixed-pitch propellers under the constraints of the motor. The results show that introducing variable-pitch propellers to high-altitude airships can significantly improve propeller performance at multiple altitudes and laminar wind speeds. And the potential of airship weight reduction brought by the variable-pitch technique is discussed as well.
Prior skeleton based online deep reinforcement learning for coronary artery centerline extraction
Authors: Fu Zeyu , Fu Zhuang , Fang Zi , Wang Zehao , Fei Jian , Xie Rongli , Han Hui
Published: April 2023

Coronary centerline extraction is an essential technique for X-ray coronary angiography (XCA) image analysis, which provides qualitative and quantitative guidance for percutaneous coronary intervention (PCI). In this paper, an online deep reinforcement learning method for coronary centerline extraction is proposed based on the prior vascular skeleton. Firstly, with XCA image preprocessing (foreground extraction and vessel segmentation) results, the improved ZhangSuen image thinning algorithm is used to rapidly extract the preliminary vascular skeleton network. On this basis, according to the spatial-temporal and morphological continuity of the angiography image sequence, the connectivity of different branches is determined using k-means clustering, and the vessel segments are then grouped, screened, and reconnected to obtain the aorta and its major branches. Finally, using the previous results as prior information, an online Deep Q-Network (DQN) reinforcement learning method is proposed to optimize each branch simultaneously. It comprehensively considers grayscale intensity and eigenvector continuity to achieve the combination of data-driven and model-driven without pre-training. Experimental results on clinical images and the third-party dataset demonstrate that the proposed method can accurately extract, restructure, and optimize the centerline of XCA images with a higher overall accuracy than the existing state-of-the-art methods.
Posterior Cranial Distraction in Craniosynostosis: A Systematic Review of the Literature
Authors: Khansa Ibrahim , Drapeau Annie I. , Pearson Gregory D.
Published: April 2023

Objective

Posterior cranial distraction (PCD) is a surgical technique to address craniosynostosis, especially in syndromic patients. The technique has the ability to significantly expand the cranium, while requiring minimal dural dissection, compared to cranial remodeling. Our goals were to determine the patient characteristics and surgical outcomes of PCD. The two questions that we sought to answer were: 1) What is the average published complication rate and the most common complications of PCD? and 2) How much intracranial volume expansion can one expect with PCD?

Design

A PubMed database search of articles on PCD was performed. Case reports and articles with overlapping patients were excluded. A systematic review was performed using the remaining articles.

Main Outcome Measures

Patient data were extracted in order to determine the total number of patients, patients with a syndrome, types of syndromes, mean age at surgery, mean distraction distance, mean increase in intracranial volume, and complications.

Results

18 articles representing 325 patients were analyzed. A syndrome was present in 68.6% of patients. The mean age at time of surgery was 22.1 months. Mean distraction amount was 24.7 mm. Mean increase in intracranial volume was 253.2 cm3. The overall complication rate was 32.2%, with the most common complications being surgical-site infection, hardware-related complications and delayed wound healing.

Conclusions

PCD is a powerful technique in the management of syndromic craniosynostosis, although complication rates are significantly higher than traditional remodeling techniques. Future studies should compare the effects of supratorcular and infratorcular osteotomies on intracranial volume, cosmesis and complications.
Strategies for Implementing Planned Ignoring in the Elementary Classroom
Authors: Justus Jasmine , Hott Brittany , Heiniger Sarah
Published: April 2023

In this article, we provide guidance about when planned ignoring should be considered, questions that may arise, and step-by-step procedures for implementing. A scenario of a kindergarten student is used to illustrate planned ignoring and possible questions regarding implementation in an educational setting. Forms and resources are provided to assist with classroom implementation.
Report Failure in Applied Research and Social Program Evaluation: An Invitation to Epistemic Integrity
Authors: Daher Marianne , Rosati Antonia , Cifuentes Sofía
Published: April 2023

From a critical community psychology approach, this article seeks to visibilize social interventions that exhibit failings, thus exerting epistemic violence, by critically analyzing a microfinance project executed in India by an emblematic international research center of the Global North. Through fieldwork and interviews, we identified four shortcomings of the intervention: issues affecting the participants, implementation problems, limited effects of the project, and dissatisfaction with the intervention. This case illustrates how the prioritization of research objectives to the detriment of a proper implementation of the underlying social interventions constitutes epistemic violence as well as academic and epistemic extractivism. Based on this information, we intend to advance an expanded notion of epistemic violence, going beyond data analysis and taking into account the conditions of knowledge production in applied research, exemplified by a social program evaluation and their consequences for participants. This approach allows us to visibilize the importance of report failure and propose the concept of epistemic integrity, which is aimed at generating socially relevant knowledge while democratizing said knowledge, encouraging power redistribution, and promoting social justice. Regarding applied research, we discuss specific considerations for epistemic integrity.
The Social Stigmatization of Stay-at-Home Fathers in Pakistan
Authors: Shah Rahat
Published: April 2023

The stigmatization of stay-at-home fathers (SAHFs) has been widely studied, but little research has examined how these experiences vary between rural and urban areas. In this qualitative study, 20 SAHFs in Islamabad, Pakistan were recruited through purposive sampling and interviewed using interview guide. Results show that most men did not choose to become SAHFs, and were involuntarily thrust into the role due to unemployment, lack of appropriate employment opportunities, or disability. These men faced stigmatization, social isolation, and labeling from their friends, family, and community, resulting in their increasing stress and anxiety. Additionally, the study found that rural and urban residential backgrounds played a significant role in the experiences of SAHFs. Examining the concept of caring masculinities, the study discovered that cultural differences, adherence to gendered norms, and severe stigmatization made it difficult for SAHFs in a non-Western culture context to depart from traditional masculine roles and embrace caring masculinities.
Flipping the normative: Developing and delivering a critical pedagogy for executive education in a UK business school
Authors: Mavin Sharon , James Joanne , Patterson Nicola , Stabler Amy , Corlett Sandra
Published: April 2023

This article explores tensions when flipping the normative by developing and facilitating a programme-long critical pedagogy for executive education in a UK business school. Through a small-scale qualitative study with academics, we explore a critical pedagogy underpinning two executive MSc programmes and informing an Executive MBA. We demonstrate how the approach flips the normative by deviating from norms, doing the unexpected and disrupting ‘how things are understood and done around here’. Critical pedagogy is unusual, in opposition to traditional business school education. Programme-long critical approaches are rare. We explore tensions when flipping the normative through the following themes: power, control and trusting the process; vulnerability as strength and emotional risk; and academic privilege, precariousness and Othering. We make four contributions. First, we articulate a programme-long critical pedagogy in executive education, illustrating how this flips the normative. Second, we outline tensions and learning when facilitating a critical pedagogy. Third, through collective reflexivity, we reveal academics’ personal perspectives of facilitating critical pedagogy and its impact. Fourth, we theorize how recognizing vulnerability as strength is a pedagogical process that facilitates critical management and leadership education. We offer learning for future critical executive education and implications for practitioners, academics, business schools and universities to consider.
Sustainable tribology for reliability and efficiency
Authors: Katiyar Jitendra Kumar , Rao TVVLN
Published: April 2023

This special issue includes a collection of papers presented at the International Tribology Research Symposium (ITRS) 2021, held from 8th to 10th December 2021 in a virtual mode with the Tribology for Sustainability and Reliability theme. It has been observed that the types of machinery and components are improving daily as per the requirements to fulfill human needs. Due to these requirements in human necessities, new tribological challenges have developed that affect the reliability and efficiency of machinery and engineering components. Furthermore, the governments have also implemented stringent rules and regulations on industries to reduce environmental pollution. Researchers have developed sustainable (green) lubricants, superlubricity concepts in many engineering components, and new methodologies for contact area reduction, such as self-lubricating coatings, surface texturing, and surface modification. Therefore, this editorial has explored tribological advances, and Triboinformatics approaches for achieving sustainability and reliability. The practical, sustainable tribological approaches for the well-being of the society highlighted in this editorial are 1. Sustainable lubrication, 2. Space tribology, 3. Triboinformatics, 4. Biotribology, 5. Additive manufacturing, 6. Light metal matrix composites, 7. Sustainable machining, 8. Electric vehicles. These sustainable tribological approaches deliberated by the plenary, keynote, and invited speakers and participants of ITRS 2021 are guidelines for future research directions of tribology.
Using the new disability human rights paradigm to create higher education leadership opportunities
Authors: Harpur Paul , Szucs Brooke
Published: April 2023

Driven by anti-discrimination laws and a desire to promote human rights, universities have made strategic efforts to support their students with disabilities and provided some support to their staff with disabilities. However, persons with disabilities are not visible in senior leadership positions in universities. It is time for change. The UN Convention on the Rights of Persons with Disabilities (CRPD) has established new human rights expectations that require representation of persons with disabilities across all of society, and at all levels, at percentages which reflect their proportion within the population. Even though States are slow to introduce regulatory reforms to transform society and realize ability equality, some in the higher education sector are seeking to go above compliance and move their institutions, and the broader sector, to a more inclusive place. This paper maps out the efforts led at one Australian institution to use existing structures in disability discrimination laws to provide leadership opportunities for persons with disabilities as a blueprint for further change.
The representation and processing of synonyms and translations: A masked priming study with European Portuguese-English bilinguals
Authors: Tomaz Ângela , Oliveira Helena M. , Soares Ana Paula , Casalis Séverine , Comesaña Montserrat
Published: April 2023

Aims/Objectives:

According to Multilink, words from the first (L1) and (L2) second languages share a common store and their access is non-selective. Thus, the presentation of a target word activates in parallel lexical candidates from both languages that share form and semantic overlap. The degree of words’ activation also depends on their resting levels of activation (words that are more used have a higher resting levels of activation). Since non-cognate translations and synonyms share meaning, they may be seen as qualitatively similar lexical representations, and consequently subject to similar processing if their frequency levels are matched. However, whereas masked priming lexical decision studies with synonyms failed to find reliable masked priming effects, the majority of those with non-cognate translations (especially in the forward direction, i.e., from L1 to L2) showed significant effects. The present study extends those findings by directly comparing the processing of synonyms and translations in bilinguals.

Design/methodology:

A masked priming lexical decision task (targets were preceded by a related 50-ms word [an L1 translation or an L2 synonym] or by a 50-ms unrelated word) was conducted. Lexical frequency of usage was higher for primes than for targets.

Data and analysis:

Reaction times and accuracy from 24 sequential (highly proficient) European Portuguese-English bilinguals were analyzed with linear mixed effects models.

Findings/conclusions:

Results showed priming effects for translations, but not for synonyms, indicating a differential processing of synonyms and non-cognate translations.

Originality:

This is the first empirical work that directly compares the processing of synonyms and translations in bilinguals by using the same targets words for both prime types.

Significance/implications:

The findings contradict the Multilink model, since they index a differential representational nature of lexico-semantic links for translations and synonyms. Modifications in the model are needed to account for the data.
Feeling stretched: Parents’ narratives about challenges to resilience when their child has a tracheostomy
Authors: Flynn Alison , Whittaker Karen , Donne Adam J , Bray Lucy , Carter Bernie
Published: April 2023

This study aimed to examine how parents develop personal resilience when facing the challenges of caring for a child with tracheostomy. This study employed a longitudinal qualitative design. Unstructured narrative interviews with 12 parents (from nine families) whose child had a new tracheostomy were undertaken at three time points over 12 months. Data were analysed using a socio-narratology method. Findings reveal the journey parents experienced, how their feelings changed and the processes involved in developing resilience over the first 12 months of their child having a tracheostomy. Stories told by parents early in their journey revealed emotional upheaval, negative emotions, stress and shock. Due to medical need, parents had little or no choice for their child to have a tracheostomy. Once their child’s life was out of danger, parents started to reframe their experiences and beliefs. Resilience played a major part in how parents perceived and faced their situation, allowing them to deal with what came their way and to move forward with their lives. Different aspects of resilience such as self-awareness, grit, gratitude, internal locus of control and reframing came to the fore at different time points. Parents talked feeling stretched by the challenges they faced and how they reframed their perspectives about their child’s tracheostomy. Parents’ resilience and reframing is discussed in relation to the ABC-X model. This study identifies a theoretical model that explains this process of change, this results in transferable knowledge, useful for understanding and explaining the experience of other parents and families.
Finite element analysis of two skeletally anchored maxillary molar distalisation methods
Authors: Vilanova Lorena , Bellini-Pereira Silvio Augusto , Patel Mayara Paim , Grec Roberto , Henriques José Fernando Castanha , Janson Guilherme , Garib Daniela , Aliaga-Del Castillo Aron
Published: April 2023

Objective:

To compare two methods of maxillary molar distalisation with skeletal anchorage using finite element analysis (FEA).

Methods:

Two digitised models were created: the miniscrew-anchored distaliser, which consisted of a distalisation method anchored in a buccal miniscrew between the first molar and second premolar (Model 1), and the miniscrew-anchored palatal appliance, which consisted of a distalisation method anchored in a miniscrew on the anterior region of the palate (Model 2). FEA was used to simulate both methods, assessing teeth displacements and stress concentration.

Results:

The miniscrew-anchored distaliser showed greater buccal than distal displacement of the first molar, while the opposite was observed in the miniscrew-anchored palatal appliance. The second molar responded similarly in the transverse and anteroposterior perspectives with both appliances. Greater displacements were observed at crown level than in apical regions. Greater stress concentration was observed at the buccal and cervical regions of the crown in the miniscrew-anchored distaliser and the palatal and cervical regions in the palatal appliance. The stress progressively spread in the buccal side of the alveolar bone for the miniscrew-anchored distaliser and in the palatal root and alveolar bone for the palatal appliance.

Conclusion:

FEA assumes that both appliances would promote maxillary molar distalisation. A skeletally anchored palatal distalisation force seems to provide a greater molar bodily movement with less undesirable effects. Greater stress is expected at the crown and cervical regions during distalisation, and the stress concentration in the roots and alveolar bone depends directly on the region the force was applied.
High-speed low-coherence interferometry of fuel films in impinging gasoline direct injection sprays
Authors: White Logan , Manin Julien , Pickett Lyle
Published: April 2023

Quantitative experimental characterization of dynamic fuel film deposition processes is critical to developing better understanding and modeling of cold-start behavior in gasoline direct injection engines. Low-Coherence Interferometry (LCI) offers a quantitative fuel film thickness diagnostic that is immune or resistant to major confounding influences that limit other optical diagnostics in engine-relevant environments. This work describes an extension of spectral LCI techniques to high-speeds (10 kHz) that are capable of resolving the dynamics of fuel film deposition and evaporation in impinging gasoline sprays. Two approaches to LCI, Michelson interferometry and Fizeau interferometry, were tested and results demonstrate the superiority of the Fizeau configuration for enclosed vessel experiments. Experiments were performed at cold start conditions in an enclosed spray chamber with a gasoline spray impinging on a transparent wall. High-speed LCI was used to measure fuel film thicknesses and dynamic changes in thickness. The measurements were used to observe variation in film thickness and behavior with changes in system temperature and fuel composition.
On the use of Fourier Features-Physics Informed Neural Networks (FF-PINN) for forward and inverse fluid mechanics problems
Authors: Sallam Omar , Fürth Mirjam
Published: April 2023

Physics Informed Neural Networks (PINN), a deep learning tool, has recently become an effective method for solving inverse Partial Differential Equations (PDEs) where the boundary/initial conditions are not well defined and only noisy sparse measurements sampled in the domain exist. PINN, and other Neural Networks, tends to converge to the low frequency solution in a field that has multiple frequency scales, this is known as spectral bias. For PINN this happens when solving PDEs that exhibit periodic behavior spatially and temporally with multi frequency scales. Previous studies suggested that Fourier Features-Neural Networks (FF-NN) can be used to overcome the spectral bias problem. They proposed the Multi Scale-Spatio Temporal-Fourier Features-Physics Informed Neural Networks (MS-ST-FF-PINN) to overcome the spectral bias problem in PDEs solved by PINN. This has been evaluated on basic PDEs such as Poisson, wave and Gray-Scott equations. In this paper we take MS-ST-FF-PINN a step further by applying it to the incompressible Navier-Stokes equations. Furthermore, a comparative analysis between the PINN and the MS-ST-FF-PINN architectures solution accuracy, the learnt frequency components and the rate of convergence to the correct solution is included. To show this three test cases are shown (a)-Forward time independent double-lid-driven cavity, (b)-Inverse time independent free surface estimation of Kelvin wave pattern, and (c)-Inverse 2D time-dependent turbulent Von Karman vortex shedding interaction downstream of multiple cylinders. The results show that MS-ST-FF-PINN is better at learning low and high frequency components synchronously at early training iterations compared to the PINN architecture that does not learn the high frequency components even after multiple iteration numbers such as the Kelvin wave pattern and the Karman vortex shedding cases. However, for the third test case, the MS-ST-FF-PINN architecture showed a discontinuity for the temporal prediction of the pressure field due to over-fitting.
Energy-specific greenhouse gas emissions measurements from 2-stroke marine diesel engine using liquefied natural gas
Authors: Lee Kang-Ki , Hochegger Wilfried , Schönborn Alessandro
Published: April 2023

This study reports the energy specific air emissions from a diesel-cycle high pressure injection dual fuel engine for operation on liquefied natural gas and heavy fuel oil. An experiment at sea was performed onboard a bulk carrier during commercial voyages, to measure the efficiency of the engine and to measure air emissions relevant to air pollution and climate impact for operation on both fuels. The measurements showed that the energy conversion efficiency of the engine was higher for operation on liquefied natural gas because its lower NOx emissions permitted the use of a higher effective compression ratio whilst meeting the same NOx emissions level. The results showed that the climate impact for operation on heavy fuel oil was 2.1–2.3 times higher than for liquefied natural gas at 50% load, if considering only the emissions occurring at the engine. Analysis of the air emissions for their individual contributions to climate impacts suggested that black carbon had the strongest climate impact of all air emissions in the case of operation on heavy fuel oil. For operation on liquefied natural gas, CO2 had the strongest individual climate impact amongst the air emissions from the engine.
Industrialisation and internationalisation of education in the context of Economy 4.0: A case study of Penang
Authors: DeWitt Dorothy , Sukhoverkhov Anton
Published: April 2023

The globalisation of science, industry and commerce has resulted in the internationalisation of education. In this context, ‘ a global citizen’, representing the Humboldtian educational model, has to have universal cognitive skills and cultural competences formed by an international/global education. However, Malaysia’s unique situation, as seen in the case of Penang Island, shows a multicultural education that effectively adapted to the global market. Most of the schools were transformed to national schools after Malaya’s independence from the United Kingdom, yet some retained their international nature. This article shows how national schools in Penang Island preserved their culture after independence, resulting in cultural pluralism (multiculturalism) in the educational system and, at the same time, maintained their global value for Economy 4.0. This multicultural and industry-oriented approach contrasts with the Humboldtian universalistic model, and yet contributes to the growth of science and a global economy. In this regard, it is argued that for the sustainable development of science, technology and society in Penang, the ‘epistemological pluralism’ with cross-disciplinary thinking in diverse cultural contexts should be promoted in educational and global policies.
A novel wave tomography method for defect reconstruction with various arrays
Authors: Qian Zhi , Li Peng , Wang Bin , Zhang Yinghong , Qian Zhenghua , Wu Xianwei , Li Xiangyu , Kuznetsova Iren
Published: April 2023

In order to reconstruct the possible defects on the plate surface with arrays, a new wave tomography method based on the method of moments is established in this paper. According to the relationship between the probe number and grid amount, two algorithms, that is, the neural network and principal component analysis (PCA), are proposed and used to solve the ill-conditioned inversion equations. The neural network makes imaging feasible even if input data are not enough, and the PCA can greatly improve the computational efficiency via reducing the matrix dimension. Both numerical simulations and experimental measurements are conducted with the algorithm’s correctness and high precision validated. After investigating the influence of probe number on imaging quality, it is demonstrated that the algorithm can exactly predict the defect location when the input scattering data is not enough or fewer probes are arranged. More probes are needed for reconstructing the specific shape and thickness, especially when multiple defects are included. The qualitative results and quantitative data are conducive to providing some reference for engineering applications in nondestructive testing and structural health monitoring.