bluuebunny/crossref_metadata_2025_split huggingface dataset:
‘Dubai’ as a Place of Memory in Malayalam Cinema
Authors: Karinkurayil Mohamed Shafeeq 
Published: May 2022

AbstractThis paper is an exploration of cinematic memory as a resource for remembering large-scale Keralan migration to the Gulf since the late 1960s. The south Indian state of Kerala, which predominantly speaks Malayalam, is a major contributor to the migrant labour force in the Gulf region for the last five decades. However, until recently, the migrant figured in the public discourse of Kerala as an economic agent alone. There has been increasing instances of memorialising the Gulf in the Malayalam public sphere since the beginning of the 2000s which brings to light the subjective aspects of the Gulf migration. However, what is lost in these accounts is the simultaneity and interlinked nature of the two places. Cinema, on the other hand, offers resources to inscribe the mutuality of the two places in the collective memory of Kerala. Invoking Pierre Nora’s concept of places of memory, the paper looks at cinematic renditions of ‘Dubai’ as one such site of memory in the present when the image of Dubai and the profile of Keralan migrant has undergone a shift. Taking the example of one Malayalam film, Pathemari (Salim Ahamed, 2015), and tracing its cinematic genealogy, this paper analyses the ways in which ‘Dubai’ is remembered and how this remembrance inscribes the Gulf as part of the collective memory of Kerala. The paper identifies the persistence of filmed space, intertextuality, and the archivality of the star body as the modes in which cinematic memory achieves this collective memorialisation. The mutuality between Kerala and Dubai, offered by cinematic memory, allows it to be an act of affective citizenship on the part of the migrants, i.e. embodied and sensorial acts of claiming the universal right to have rights.
Fabrication on the microscale: a two-photon polymerized device for oocyte microinjection
Authors: Yagoub Suliman H. , Thompson Jeremy G. , Orth Antony , Dholakia Kishan , Gibson Brant C. , Dunning Kylie R. 
Published: May 2022

AbstractPurposeIntracytoplasmic sperm injection (ICSI) addresses male sub-fertility by injecting a spermatozoon into the oocyte. This challenging procedure requires the use of dual micromanipulators, with success influenced by inter-operator expertise. We hypothesized that minimizing oocyte handling during ICSI will simplify the procedure. To address this, we designed and fabricated a micrometer scale device that houses the oocyte and requires only one micromanipulator for microinjection.MethodsThe device consisted of 2 components, each of sub-cubic millimeter volume: aPodand aGarage.These were fabricated using 2-photon polymerization. Toxicity was evaluated by culturing single-mouse presumptive zygotes (PZs) to the blastocyst stage within a Pod, with several Pods (and embryos) docked in a Garage. The development was compared to standard culture. The level of DNA damage/repair in resultant blastocysts was quantified (γH2A.X immunohistochemistry). To demonstrate the capability to carry out ICSI within the device, PZs were microinjected with 4-μm fluorescent microspheres and cultured to the blastocyst stage. Finally, the device was assessed for oocyte traceability and high-throughput microinjection capabilities and compared to standard microinjection practice using key parameters (pipette setup, holding then injecting oocytes).ResultsCompared to standard culture, embryo culture within Pods and a Garage showed no differences in development to the blastocyst stage or levels of DNA damage in resultant blastocysts. Furthermore, microinjection within our device removes the need for a holding pipette, improves traceability, and facilitates high-throughput microinjection.ConclusionThis novel device could improve embryo production following ICSI by simplifying the procedure and thus decreasing inter-operator variability.
Explainable Artificial Intelligence in Data Science
Authors: Borrego-Díaz Joaquín , Galán-Páez Juan 
Published: May 2022

AbstractA widespread need to explain the behavior and outcomes of AI-based systems has emerged, due to their ubiquitous presence. Thus, providing renewed momentum to the relatively new research area of eXplainable AI (XAI). Nowadays, the importance of XAI lies in the fact that the increasing control transference to this kind of system for decision making -or, at least, its use for assisting executive stakeholders- already affects many sensitive realms (as in Politics, Social Sciences, or Law). The decision-making power handover to opaque AI systems makes mandatory explaining those, primarily in application scenarios where the stakeholders are unaware of both the high technology applied and the basic principles governing the technological solutions. The issue should not be reduced to a merely technical problem; the explainer would be compelled to transmit richer knowledge about the system (including its role within the informational ecosystem where he/she works). To achieve such an aim, the explainer could exploit, if necessary, practices from other scientific and humanistic areas. The first aim of the paper is to emphasize and justify the need for a multidisciplinary approach that is beneficiated from part of the scientific and philosophical corpus on Explaining, underscoring the particular nuances of the issue within the field of Data Science. The second objective is to develop some arguments justifying the authors’ bet by a more relevant role of ideas inspired by, on the one hand, formal techniques from Knowledge Representation and Reasoning, and on the other hand, the modeling of human reasoning when facing the explanation. This way, explaining modeling practices would seek a sound balance between the pure technical justification and the explainer-explainee agreement.
Improving the patient-reported outcome sections of clinical trial protocols: a mixed methods evaluation of educational workshops
Authors: King Madeleine T. , Tait Margaret-Ann , Campbell Rachel , Müller Fabiola , Rutherford Claudia , Beckmore Corinna , Chima Sophie , Langbecker Danette , Shaw Joanne , Mercieca-Bebber Rebecca 
Published: May 2022

Abstract
Introduction
Failure to incorporate key patient-reported outcome (PRO) content in trial protocols affects the quality and interpretability of the collected data, contributing to research waste. Our group developed evidence-based training specifically addressing PRO components of protocols. We aimed to assess whether 2-day educational workshops improved the PRO completeness of protocols against consensus-based minimum standards provided in the SPIRIT-PRO Extension in 2018.

Method
Annual workshops were conducted 2011–2017. Participants were investigators/trialists from cancer clinical trials groups. Although developed before 2018, workshops covered 15/16 SPIRIT-PRO items. Participant feedback immediately post-workshop and, retrospectively, in November 2017 was summarised descriptively. Protocols were evaluated against SPIRIT-PRO by two independent raters for workshop protocols (developed post-workshop by participants) and control protocols (contemporaneous non-workshop protocols). SPIRIT-PRO items were assessed for completeness (0 = not addressed, 10 = fully addressed). Mann–Whitney U tests assessed whether workshop protocols scored higher than controls by item and overall.

Results
Participants (n = 107) evaluated the workshop positively. In 2017, 16/41 survey responders (39%) reported never applying in practice; barriers included role restrictions (14/41, 34%) and lack of time (5/41, 12%). SPIRIT-PRO overall scores did not differ between workshop (n = 13, median = 3.81/10, interquartile range = 3.24) and control protocols (n = 9, 3.51/10 (2.14)), (p = 0.35). Workshop protocols scored higher than controls on two items: ‘specify PRO concepts/domains’ (p = 0.05); ‘methods for handling missing data’ (p = 0.044).

Conclusion
Although participants were highly satisfied with these workshops, the completeness of PRO protocol content generally did not improve. Additional knowledge translation efforts are needed to assist protocol writers address SPIRIT-PRO guidance and avoid research waste that may eventuate from sub-optimal PRO protocol content.
Statistical significance and its critics: practicing damaging science, or damaging scientific practice?
Authors: Mayo Deborah G. , Hand David 
Published: May 2022

AbstractWhile the common procedure of statistical significance testing and its accompanying concept of p-values have long been surrounded by controversy, renewed concern has been triggered by the replication crisis in science. Many blame statistical significance tests themselves, and some regard them as sufficiently damaging to scientific practice as to warrant being abandoned. We take a contrary position, arguing that the central criticisms arise from misunderstanding and misusing the statistical tools, and that in fact the purported remedies themselves risk damaging science. We argue that banning the use of p-value thresholds in interpreting data does not diminish but rather exacerbates data-dredging and biasing selection effects. If an account cannot specify outcomes that will not be allowed to count as evidence for a claim—if all thresholds are abandoned—then there is no test of that claim. The contributions of this paper are: To explain the rival statistical philosophies underlying the ongoing controversy; To elucidate and reinterpret statistical significance tests, and explain how this reinterpretation ameliorates common misuses and misinterpretations; To argue why recent recommendations to replace, abandon, or retire statistical significance undermine a central function of statistics in science: to test whether observed patterns in the data are genuine or due to background variability.
Siphoderina hustoni n. sp. (Platyhelminthes: Trematoda: Cryptogonimidae) from the Maori snapper Lutjanus rivulatus (Cuvier) on the Great Barrier Reef
Authors: Martin Storm B. , Cutmore Scott C. 
Published: May 2022

AbstractA new cryptogonimid trematode, Siphoderina hustonin. sp., is reported, collected off Lizard Island, Queensland, Australia, from the Maori snapper Lutjanus rivulatus (Cuvier). The new species is moderately distinctive within the genus. It is larger and more elongate than most other species of Siphoderina Manter, 1934, has the shortest forebody of any, a relatively large ventral sucker, a long post-testicular zone, and is perhaps most recognisable for the substantial space in the midbody between the ventral sucker and ovary devoid of uterine coils and vitelline follicles, the former being restricted to largely posterior to the ovary and the latter distributed from the level of the anterior testis to the level of the ovary. In phylogenetic analyses of 28S ribosomal DNA, the new species resolved with the other nine species of Siphoderina for which sequence data are available, all of which are from Queensland waters and from lutjanid and haemulid fishes. Molecular barcode data were also generated, for the ITS2 ribosomal DNA and cox1 mitochondrial DNA markers. The new species is the first cryptogonimid known from L. rivulatus and the first metazoan parasite reported from that fish in Australian waters.
Edge computing empowered anomaly detection framework with dynamic insertion and deletion schemes on data streams
Authors: Xiang Haolong , Zhang Xuyun 
Published: May 2022

AbstractAnomaly detection plays a crucial role in many Internet of Things (IoT) applications such as traffic anomaly detection for smart transportation and medical diagnosis for smart healthcare. With the explosion of IoT data, anomaly detection on data streams raises higher requirements for real-time response and strong robustness on large-scale data arriving at the same time and various application fields. However, existing methods are either slow or application-specific. Inspired by the edge computing and generic anomaly detection technique, we propose an isolation forest based framework with dynamic Insertion and Deletion schemes (IDForest), which can incrementally update the forest to detect anomalies on data streams. Besides, IDForest is deployed on edge servers in parallel through packing each tree into a subtask, which facilitates the fast anomaly detection on data streams. Extensive experiments on both synthetic and real-life datasets demonstrate the efficiency and robustness of our framework for anomaly detection.
Effect of Temperature on Sliding Wear Behavior of Ti-6Al-4V Alloy Processed by Powder Bed Fusion Additive Manufacturing Techniques
Authors: Li Hua , Chen Zhan Wen , Ramezani Maziar 
Published: May 2022

AbstractTi-6Al-4V is suitable for powder bed fusion additive manufacturing processes; however, until now, limited studies are conducted to investigate the high temperature tribological performance of Ti-6Al-4V samples made by selective laser melting (SLM) and electron beam melting (EBM) techniques. This paper investigated dry sliding wear resistance of Ti-6Al-4V alloy manufactured by SLM, EBM and conventional processes at elevated temperatures up to 600 °C in contact with WC-Co. Linear reciprocating sliding wear tests were carried out under different applied loads and temperatures, and different wear mechanisms were identified and related to the manufacturing technique. Deviations of wear track width measurements indicated shape irregularly, which has been presented and discussed by SEM images of the wear tracks. Energy-dispersive x-ray analysis of surface layer showed how increasing temperature affects the surface oxide layer and debris. The results showed that for all three types of samples, the oxygen richer oxide debris layer at higher temperatures provided a protective layer with higher wear resistance, although strength and hardness of Ti-6Al-4V are lower at a higher temperatures. So, the combination of these two effects results in no significant effect of temperature on wear rate.
Toward memristive in-memory computing: principles and applications
Authors: Bao Han , Zhou Houji , Li Jiancong , Pei Huaizhi , Tian Jing , Yang Ling , Ren Shengguang , Tong Shaoqin , Li Yi , He Yuhui , Chen Jia , Cai Yimao , Wu Huaqiang , Liu Qi , Wan Qing , Miao Xiangshui 
Published: May 2022

AbstractWith the rapid growth of computer science and big data, the traditional von Neumann architecture suffers the aggravating data communication costs due to the separated structure of the processing units and memories. Memristive in-memory computing paradigm is considered as a prominent candidate to address these issues, and plentiful applications have been demonstrated and verified. These applications can be broadly categorized into two major types: soft computing that can tolerant uncertain and imprecise results, and hard computing that emphasizes explicit and precise numerical results for each task, leading to different requirements on the computational accuracies and the corresponding hardware solutions. In this review, we conduct a thorough survey of the recent advances of memristive in-memory computing applications, both on the soft computing type that focuses on artificial neural networks and other machine learning algorithms, and the hard computing type that includes scientific computing and digital image processing. At the end of the review, we discuss the remaining challenges and future opportunities of memristive in-memory computing in the incoming Artificial Intelligence of Things era.
Graphical Abstract
Performance indicators of water supply network of Goma Township in the Democratic Republic of Congo: a tripartite assessment
Authors: Ciraane Utashi Docile , Mutua Benedict Mwavu , Abdelbaki Chérifa , Boumazzza Tarek 
Published: May 2022

AbstractIn Goma Township, the water supply system has become ineffective and insufficient against the background of an increasing population with high water demand. A study was therefore carried out to assess the water supply network of Goma Township using three performances indicators with a view to proposing possible solutions to the existing water supply challenges. The methodology involved the assessment and evaluation of the water production, the physical characteristics, and the hydraulic characteristics of the current water supply network. The research utilized secondary data comprising technical reports from review of the literature, GIS data sets, and a database of the existing network converted into an EPANET model to assess its performances. The results generally showed a low performance of the current water supply system (production capacity: 11%, hydraulic characteristic: 33%, physical characteristic: 71%) mainly related to the water demand which has outpaced the water supply capacity and several design issues. The methodology used in this study and the results obtained can be used not only for Goma Township but also by other Sub-Saharan African cities in order to solve the urban water supply crisis.
Extreme solar events
Authors: Cliver Edward W. , Schrijver Carolus J. , Shibata Kazunari , Usoskin Ilya G. 
Published: May 2022

AbstractWe trace the evolution of research on extreme solar and solar-terrestrial events from the 1859 Carrington event to the rapid development of the last twenty years. Our focus is on the largest observed/inferred/theoretical cases of sunspot groups, flares on the Sun and Sun-like stars, coronal mass ejections, solar proton events, and geomagnetic storms. The reviewed studies are based on modern observations, historical or long-term data including the auroral and cosmogenic radionuclide record, and Kepler observations of Sun-like stars. We compile a table of 100- and 1000-year events based on occurrence frequency distributions for the space weather phenomena listed above. Questions considered include the Sun-like nature of superflare stars and the existence of impactful but unpredictable solar "black swans" and extreme "dragon king" solar phenomena that can involve different physics from that operating in events which are merely large.
Beteiligung von Grundschulkindern im Kunstunterricht des zweiten Schuljahres. Zur Bedeutung von individuellen Voraussetzungen und den drei Basisdimensionen der Unterrichtsqualität für die Quantität und Qualität der Beiträge von Lernenden
Authors: Hess Miriam , Denn Ann-Katrin , Lipowsky Frank 
Published: May 2022

ZusammenfassungAngebots-Nutzungs-Modelle werden vielfach zur Konzeptualisierung der Determinanten und Wirkungen von Unterricht herangezogen. Dabei wird die Nutzungsseite in verschiedenen Modellvarianten unterschiedlich definiert und insgesamt in empirischen Studien vergleichsweise selten spezifisch betrachtet. Der vorliegende Beitrag fokussiert daher auf folgende übergeordnete Frage: Inwiefern stehen die Häufigkeit und die Art der verbalen Beteiligung von Lernenden im Kunstunterricht des zweiten Schuljahres als ausgewählte Facetten der Nutzung mit individuellen Lernvoraussetzungen und der Qualität des Unterrichtsangebots in Beziehung? Die Ergebnisse von Regressionsanalysen (N = 33 Klassen) zeigen, dass in Klassen mit einer positiv beurteilten Klassenführung insgesamt weniger Meldungen vorkommen, dass die Beiträge der Lernenden bei einer guten Klassenführung aber häufiger neue Ideen enthalten. Zu den ausgewählten individuellen Voraussetzungen der Lernenden finden sich nur wenige und eher geringe Zusammenhänge. Die Ergebnisse werden auch vor dem Hintergrund diskutiert, ob und inwiefern die Beteiligung von Lernenden am Unterrichtsgespräch tatsächlich als Facette der Nutzung des Unterrichtsangebots konzeptualisiert werden kann.
An analytical approach to design horns and boosters of ultrasonic welding machines
Authors: Yazdian Amir , Karafi Mohammad Reza 
Published: May 2022

Abstract
This paper presents a new design approach for two main components of an ultrasonic plastic welding machine, booster and horn, based on an analytical model. The design procedure is developed due to the lack of a comprehensive and precise analytical model for rapid design and analysis of these components. The previous analytical models use the one-dimensional wave equation that causes significant errors in designing components with large lateral dimensions. Three-dimensional vibrations are considered for developing an analytical model using the apparent elasticity method. In this way, longitudinal frequency equations are coupled with radial frequency equations by mechanical coupling coefficients. Also, the damping of materials is taken into account. The model can be adapted to calculate the resonant length of the components or calculate the resonant frequency. To verify the model, the results are compared to a numerical simulation. The difference between analytical and numerical resonance frequency is less than 0.02%. Moreover, an experimental modal analysis is performed, which shows 0.9% error with analytical results.

Article highlights

A new design approach for boosters and horns has been developed based on an analytical model.

Three-dimensional vibrations are considered in the model using the apparent elasticity method.

The accuracy of calculating resonant frequencies is more than one-dimensional design method.
Investigating the strength, hydraulic conductivity, and durability of the CSG (cemented sand-gravel) check dams: a case study in Iran
Authors: Farshbaf Aghajani Hamed , Soltani-Jigheh Hossein , Salimi Mohammad , Karimi Sina , Estekanchi Vahid , Akbarzadeh Ahari Reza 
Published: May 2022

AbstractThis paper aims to find a proper admixture of the cemented sand-gravel (CSG) material for constructing a hardfill embankment located in cold weather. To this end, the compaction, strength, permeability of the cemented sand-gravel mixtures with cement contents of 5, 7.5, 10, and 12.5% are experimentally studied. Besides, the freeze–thaw durability of native grains of the soil and stabilizing soil is examined. According to the test results, even though the compaction specifications of all mixtures do not considerably depend on the cement content, however the cement content in the mixture significantly influences the compressive strength, stiffness, and permeability of mixtures. The soil aggregates inherently have high water absorption and are thus severely fractured after 50 cycles of freeze–thaw. After stabilizing the soil grains with cement, the freeze–thaw durability of the cemented soil mixture is considerably improved, and the weight loss of all mixtures becomes less than 5% after 12 cycles of freeze–thaw. However, the freeze–thaw cycles reduce the mixture strength up to 40% in comparison with the intact mixture. The analysis of scanning electron microscope images implies that four factors including disintegration of the calcium-silicate-hydration complex, imposing new porosity, releasing interlayered water, and establishing the secondary ettringite are the main reasons for strength reduction of the cemented sand-gravel mixtures after encountering the freeze–thaw cycles which have not been observed in the previous researches.
A Pedagogy of Digital Materiality: Integrated Design and Robotic Fabrication Projects of the Master of Advanced Studies in Architecture and Digital Fabrication
Authors: Jenny David , Mayer Hannes , Aejmelaeus-Lindström Petrus , Gramazio Fabio , Kohler Matthias 
Published: May 2022

Abstract
This paper illustrates the pedagogical approach to teaching computational design and digital fabrication in the Master of Advanced Studies in Architecture and Digital Fabrication. It demonstrates how the introduction of computational design and digital fabrication methods foster a holistic approach to integrate novel material and constructive systems into the design process. Such an integration allows the students to combine digital fabrication techniques with sustainable material processes, taking into account the questions of reversibility, recycling and reuse, and thus designing for a more sustainable construction. In the presented paper, the structure and the curriculum of the MAS programme is introduced and the pedagogical approach of the Integrated Design and Robotic Fabrication Project is demonstrated through four case studies, highlighting their respective teaching strategies in combination with the learning experiences of the students.