bluuebunny/crossref_metadata_2025 huggingface dataset:
Greater average levels of relatedness need fulfilment across daily and monthly life predict lower attachment insecurities across time
Authors: Girme Yuthika U. , Overall Nickola C.
Published: April 2023

Attachment insecurity is characterized by chronic concerns about whether partners can fulfil core relatedness needs, including feeling loved and cared about. In two longitudinal studies, our aim was to extend current evidence that certain relationship conditions buffer attachment insecurity by (1) focusing on the central ingredient—fulfilment of relatedness needs—that likely account for buffering effects, and (2) illustrate the importance of general experiences of relatedness need fulfilment across couples’ lives. Couple members completed initial assessments of attachment insecurity, reported on the fulfilment of relatedness needs every month for 6 months (Study 1) or daily for 3 weeks (Study 2), and then completed re-assessments of attachment insecurity 6-months (Study 1) or 9-months (Study 2) later. Across both studies, greater fulfilment of relatedness needs across monthly and daily relationship life predicted decreases in attachment anxiety and avoidance. General experiences of relatedness across couples’ lives appear to reflect a relationship environment that fulfils core needs for love, care, and regard that cultivate attachment security.
Are you tired of “us?” Accuracy and bias in couples’ perceptions of relational boredom
Authors: Dobson Kiersten , Stanton Sarah C. E. , Balzarini Rhonda N. , Campbell Lorne
Published: April 2023

Relational boredom is an important cognitive-emotional experience that is understudied in the relationship maintenance literature. In three dyadic studies, we investigated accuracy and bias in partners’ perceptions of each other’s relational boredom, and how accurate and biased boredom perceptions were associated with relationship quality. Results revealed that, overall, partners tended to overestimate—but accurately track—each other’s relational boredom across the features that comprise relational boredom and across time. Additionally, when people accurately perceived their partner experiencing high levels of boredom, they reported lower relationship quality; in all other cases, one’s own relationship quality was preserved. Furthermore, when people accurately perceived their partner experiencing high levels of boredom, their partner also reported lower relationship quality, while the partner’s relationship quality was consistently preserved when the perceiver was accurate at low levels of boredom or overestimated. These findings have important implications for how couples navigate boredom and maintain long-term relationships.
A transdiagnostic systematic review and meta-analysis of ketamine’s anxiolytic effects
Authors: Hartland Hannah , Mahdavi Kimia , Jelen Luke A , Strawbridge Rebecca , Young Allan H , Alexander Laith
Published: April 2023

Background:

Ketamine may be effective in treating symptoms of anxiety, but the time profile of ketamine’s anxiolytic effect is ill-defined. This systematic review and meta-analysis investigated the anxiolytic effect of ketamine at different time points across a range of clinical settings.

Methods:

Electronic databases were searched to capture randomised control trials measuring the anxiolytic effects of ketamine in contexts including mood disorders, anxiety disorders and chronic pain. Meta-analyses were conducted using a random-effects model. The correlations between (1) improvements in mean anxiety and depression scores, and (2) peak dissociation and improvements in mean anxiety scores were also assessed.

Results:

In all, 14 studies met inclusion criteria. Risk of bias was high in 11 studies. Ketamine significantly reduced anxiety scores compared to placebo at acute (<12 h; standard mean difference (SMD): −1.17, 95% confidence interval (CI) [−1.89, −0.44], p < 0.01), subacute (24 h; SMD: −0.44, 95% CI [−0.65, −0.22], p < 0.01) and sustained (7–14 days; SMD: −0.40, 95% CI [−0.63, −0.17], p < 0.01) time points. Exploratory analyses revealed improvements in anxiety and depression symptoms correlated at both subacute ( R2 = 0.621, p = 0.035) and sustained time points ( R2 = 0.773, p = 0.021). The relationship between peak dissociation and improvement in anxiety was not significant.

Conclusions:

Ketamine appears to offer rapid and sustained anxiety symptom relief across a range of clinical settings, with anxiolytic effects occurring within the first 12 h of administration and remaining effective for 1–2 weeks. Future studies could explore the effects of ketamine maintenance therapy on anxiety symptoms.
“We’re Not the Cure, We’re Just the Band-Aid”: The Interplay of Structure, Culture, and Practice in Police Service Provision to Persons with Mental Illnesses
Authors: Cohen Galia
Published: April 2023

This study uses the constellation approach of transition theory as a theoretical framework to depict the ways in which facilitators and barriers in police system's structure, culture, and practice interact to shape police response to persons with mental illnesses (PWMIs). The study utilizes the framework method to analyze 57 in-depth interviews with police officers in Texas. Using a hybrid approach of inductive and deductive thematic analysis, we develop a matrix of four quadrants characterizing the constellation of mental health service provision by police: (1) structural barriers (deficits in resources, unsuccessful collaboration, lack of training), (2) structural facilitators (crisis intervention teams, informal cross-disciplinary collaborations, technology), (3) cultural barriers (role conflict, perceived inability to help, stigma), and (4) cultural facilitators (the police mission ‘to serve and protect’, improving police public image, managerial support). The study ends with recommendations for the scaling up of police mental health service provision to PWMIs.
Rethinking the ordinary and the extraordinary: Reading Rancière’s dissensual politics through Kuhn
Authors: Puggioni Raffaela
Published: April 2023

Jacques Rancière’s theorisation of the political has been particularly influential in investigating political struggles and social movements. By distinguishing between the police order – tasked with maintaining the dominant (hierarchical) system – and politics – aiming at breaking that system – Rancière suggests reading the political as a disruptive event. However, he does not specifically engage with the question of how politics affects and changes the police order. This is what this article aims at exploring. Building upon Kuhn’s The Structure of Scientific Revolutions, I suggest approaching the police order in the same way Kuhn approaches ‘normal science’ and reading the political in the same way Kuhn reads revolutionary science. I ultimately suggest that Rancière’s theorisation of the political is limited because he does not (sufficiently) account for the interplay between police/politics nor for the emergence of an after-politics, that is, a new (ordinary) police order that emerges out of (extraordinary) political events.
She Still Works Hard for the Money: Composers, Precarious Work, and the Gender Pay Gap
Authors: Dowd Timothy J. , Park Ju Hyun
Published: April 2023

Music composers exemplify precarious work: they historically have been freelancers and have relied on multiple jobs to subsidize their creative work. We focus here on the gender pay gap amidst such precariousness—heeding their income earned solely from composition and from the totality of jobs recently held. There is no gender pay gap when it comes to income earned from composition but there is a significant gap for income earned from all jobs, showing that women composers face relative disadvantage in subsidizing their creative work. We also find that men and women composers experience different and racialized returns to their capitals and career positioning when navigating precarious work. These findings have lessons for multiple literatures—including those on the new sociology of work and on creative careers.
GERALD: A novel dataset for the detection of German mainline railway signals
Authors: Leibner Philipp , Hampel Fabian , Schindler Christian
Published: April 2023

In recent years, a strong push towards driverless mobility solutions can be seen in many transportation sectors including railways. While the European Train Control System already specifies the necessary interfaces to open up the possibility of Automatic Train Operation (ATO) for mainline railway vehicles, required infrastructure-side upgrades of interlocking systems are time- and cost-intensive. Alternatively, a pure vehicle-side Automatic Train Operation solution can be conceptualized that relies on processing the same audio-visual input a human train driver would normally base his decisions on. This would require the vehicle-side detection of track-side railway signals to determine the vehicle’s movement authority and allowed maximum speed. Such a signal detection system could furthermore be employed as an Advanced Driver Assistance System (ADAS) or support autonomous shunting operations. To enable such a system, this paper presents GERALD, a novel dataset for a neural network based detection approach of railway signals. The dataset contains 5000 images from a wide variety of railway scenes as well as annotations for the most common types of German mainline railway signals. The material was gathered using publicly available cab-view recordings uploaded by railway enthusiasts on YouTube. Using a state of the art neural network architecture for evaluation, we notice promising detection accuracies despite GERALD being a comparably small dataset. The dataset is freely available for research and non-commercial purposes at: https://github.com/ifs-rwth-aachen/GERALD
Assessing the impact of digitization and servitization of manufacturing firms in the context of carbon emission reduction: Evidence from a microsurvey in China
Authors: Song Xiaowei , Yang Jun
Published: April 2023

In the context of carbon emission reduction, both servitization and digitalization of manufacturing enterprises are important ways to promote the high-quality development of manufacturing enterprises. The coordinated development of digitalization and servitization may provide a feasible path for enterprises to realize energy conservation and emission reduction across the value chain. Based on the 393 valid questionnaires issued by the Association of Manufacturing Enterprises and government agencies, this paper uses the methods of Grey Relational Analysis and Topsis to construct three major indicator systems of manufacturing enterprise service, digitalization and high-quality economic development. Based on the Cobb–Douglas production function regression analysis, the relevant assumptions involved in the model of promoting the service of manufacturing enterprises and the model of promoting the digitalization of manufacturing enterprises are verified. The empirical results show that, firstly, the digitalization capability of manufacturing enterprises can positively affect the servitization performance of manufacturing enterprises. Secondly, the digital capability of manufacturing enterprises has a significant positive impact on both breakthrough service innovation and incremental innovation of manufacturing enterprises. Thirdly, breakthrough service innovation and incremental service innovation play a partial mediating role. Fourthly, the degree of servitization of manufacturing enterprises has a significant positive impact on the digital demand of supporting customer behavior service business and supporting customer product service. There are three possible contributions of this paper. Firstly, it has further enriched and deepened the research on the interactive mechanism of digitalization and service of manufacturing enterprises. The second is to design a scientific and systematic evaluation system for the digitalization and service level of Chinese manufacturing enterprises, and measure and evaluate the coupling and coordination level of digitalization and service level of Chinese manufacturing enterprises based on this. Thirdly, it reveals the promotion of the coordinated development of digitalization and service in manufacturing enterprises to the high-quality development of manufacturing enterprises in China and puts forward that the coordinated development of digitalization and service in manufacturing enterprises is a way to promote the high-quality development of manufacturing enterprises.
Encapsulated Cells for the Treatment of Diabetes: Danger of Acute Hypoglycemia Following Injury?
Authors: Papas Klearchos K. , Putnam Charles W. , Johnson Robert C. , Sambanis Athanassios
Published: April 2023

Transplants comprised of encapsulated islets have shown promise in treating insulin-dependent diabetes. A question raised in the scientific and clinical communities is whether the insulin released from an implanted encapsulation device damaged in an accident could cause a serious hypoglycemic event. In this commentary, we consider the different types of damage that a device can sustain, including the encapsulation membrane and the islets within, and the amount of insulin released in each case. We conclude that the probability that device damage would cause an adverse hypoglycemic event is indeed very low.
Accounting, slavery and the slave trade: A multi-continental perspective
Authors: Stevenson-Clarke Peta , Bowden Bradley
Published: April 2023

As in other disciplines, the Atlantic slave-trade and New World slavery have assumed an increasingly contentious role in accounting history. In her Accounting for Slavery, Rosenthal has recently located many current business practices in the nexus between accounting, capitalism and slavery. Other accounting historians have explored slave-trading ventures from Africa, the role of accounting and slavery in New World colonisation, and in accounting and managerial practices in the slave-estates of the Americas. Absent from the extant literature are studies that explore the nexus between accounting, capitalism and slavery from a multi-continental perspective that considers Atlantic slavery as an integrated whole. This study, by drawing on the Trans-Atlantic Slave-trade Database, seeks to fill this gap, examining the correlations between Atlantic slavery and African demographic and social regression, European prosperity and New World accounting and managerial practices. In doing so, it argues that accounting played a fundamentally different role in the slave economy to that which it undertook in emerging systems of industrial capitalism.
Unique cytologic and imaging features of a lumbosacral oligodendroglioma in a cat
Authors: Korff Courtney P. , Chu Shelley A. , Percival Aaron J. , Nelissen Sophie , Wood Jonathan H. , Davies Emma , Miller Andrew D. , Newman Ashleigh W.
Published: April 2023

A 12-y-old castrated male domestic longhaired cat had progressive paraparesis and neurolocalization of L4–S3. MRI revealed a circumscribed intradural-extraparenchymal mass from L5 to S1 that was T2 and short tau inversion recovery hyperintense and strongly contrast-enhancing. Cytologic interpretation of a blind fine-needle aspirate obtained through the L5–L6 space was a tumor of probable mesenchymal origin. A pair of suspect neoplastic cells was seen on a cytocentrifuged preparation of the atlanto-occipital CSF sample, despite a normal nucleated cell count (0 × 106/L) and total protein (0.11 g/L) with only 3 RBCs × 106/L. Clinical signs progressed despite increasing doses of prednisolone and cytarabine arabinoside. Repeat MRI on day 162 demonstrated tumor progression from L4 to Cd2 vertebral segments with intraparenchymal extension. Surgical tumor debulking was attempted, but an L4–S1 dorsal laminectomy revealed diffusely abnormal neuroparenchyma. Intraoperative cryosection favored lymphoma, and the cat was euthanized intraoperatively 163 d following presentation. Postmortem examination was performed, and the final diagnosis was a high-grade oligodendroglioma. This case illustrates the cytologic, cryosection, and MRI features of a unique clinical presentation of oligodendroglioma.
The Worry Behaviors Inventory–Perinatal Revised: Adaptation and Initial Validation for Use in Perinatal Samples
Authors: Inness Briar E. , McCabe Randi E. , Streiner David L. , Barrett Emily , Green Sheryl M.
Published: April 2023

Generalized anxiety disorder (GAD) is a leading mental health concern during pregnancy and the postpartum (perinatal) period. People with GAD engage in problematic behaviors to manage their distress. However, the extent of GAD behaviors during the perinatal period may not be adequately captured by the Worry Behaviors Inventory (WBI), the most comprehensive measure of GAD behaviors to date. We evaluated the structure of the initial WBI item-pool and then evaluated the internal consistency, construct validity, and predictive utility of the Perinatal Revised WBI (WBI-PR) in a sample of 214 perinatal women with and without GAD. A two-factor, 10-item scale was supported, and some of the retained items differed from the original WBI. Internal consistency of the WBI-PR was acceptable, and evidence of construct validity was demonstrated. The WBI-PR predicted GAD diagnostic status both alone and beyond existing generalized anxiety and depression symptoms. Implications of these findings are discussed.
Differentiation of Bone Metastasis in Elderly Patients With Lung Adenocarcinoma Using Multiple Machine Learning Algorithms
Authors: Zhou Cheng-Mao , Wang Ying , Xue Qiong , Zhu Yu
Published: April 2023

Objective

We tested the performance of general machine learning and joint machine learning algorithms in the classification of bone metastasis, in patients with lung adenocarcinoma.

Methods

We used R version 3.5.3 for statistical analysis of the general information, and Python to construct machine learning models.

Results

We first used the average classifiers of the 4 machine learning algorithms to rank the features and the results showed that race, sex, whether they had surgery and marriage were the first 4 factors affecting bone metastasis. Machine learning results in the training group: for area under the curve (AUC), except for RF and LR, the AUC values of all machine learning classifiers were greater than .8, but the joint algorithm did not improve the AUC for any single machine learning algorithm. Among the results related to accuracy and precision, the accuracy of other machine learning classifiers except the RF algorithm was higher than 70%, and only the precision of the LGBM algorithm was higher than 70%. Machine learning results in the test group: Similarly, for areas under the curve (AUC), except RF and LR, the AUC values for all machine learning classifiers were greater than .8, but the joint algorithm did not improve the AUC value for any single machine learning algorithm. For accuracy, except for the RF algorithm, the accuracy of other machine learning classifiers was higher than 70%. The highest precision for the LGBM algorithm was .675.

Conclusion

The results of this concept verification study show that machine learning algorithm classifiers can distinguish the bone metastasis of patients with lung cancer. This will provide a new research idea for the future use of non-invasive technology to identify bone metastasis in lungcancer. However, more prospective multicenter cohort studies are needed.
Anti-cancer drug waste disposal practices and wastewater management in hospitals: A Lebanese survey
Authors: Nassour Carla , Nabhani-Gebara Shereen , Barton Stephen J , Barker James
Published: April 2023

Introduction

To achieve continuous environmental sustainability and protect the population's health, healthcare waste (in liquid or solid form) needs appropriate management and suitable treatment strategies before its final disposal in the environment in order to reduce its adverse impacts. This study aims to identify disparities in the waste management of anti-cancer drugs and the wastewater generated in Lebanese hospitals.

Methods

Three questionnaires were designed to evaluate the level of knowledge, awareness and experience of hospital personnel regardless of their job levels. Data was collected in December 2019 from three departments of each participating hospital: pharmacy, oncology and maintenance departments. A descriptive analysis was conducted to summarise the survey results.

Results

The results revealed a lack of transparency and awareness of the participants, with a high frequency of ‘prefer not to say’ responses when asked about the disposal methods of anti-cancer drugs and with only 5.7% of the participants in the pharmacy department sharing their disposal procedures. The same perception was deduced regarding hospitals’ wastewater treatment, where responses were often contradicting, preventing making assumptions about the fate of hospital wastewater.

Conclusion

The results of this survey support the need to establish a more comprehensive waste management programme in Lebanon that would be maintained through regular training and supervision.
Comparative In Silico Analysis and Functional Characterization of TANK-Binding Kinase 1–Binding Protein 1
Authors: Sawal Humaira Aziz , Nighat Shagufta , Safdar Tanzeela , Anees Laiba
Published: April 2023

Protein modelling plays a vital role in the drug discovery process. TANK-binding kinase 1–binding protein 1 is also called an adapter protein, which is encoded by gene TBK1 present in Homo sapiens. It is found in lungs, small intestine, leukocytes, heart, placenta, muscle, kidney, lower level of thymus, and brain. It has a number of protein-binding sites, to which TBK1 and IKBKE bind and perform different functions as immunomodulatory, antiproliferative, and antiviral innate immunity which release different types of interferons. Our study predicts the comparative model of 3-dimensional (3D) structure through different bioinformatics tools that will be helpful for further studies in future. The reactivity and stability of these proteins were evaluated physicochemically and through domain determination and prediction of secondary structure using bioinformatics methods such as ProtParam, Pfam, and SOPMA, respectively. Robetta, an ab initio approach, I-TASSER, and AlphaFold was used for 3D structure prediction, and the models were validated using the SAVESv6.0 (PROCHECK) server. Conclusively, the best 3D structure of TBK1-binding protein 1 was predicted using Robetta software. After unveiling the 3D structure of the novel protein, we concluded that this structure will help us to find out its role other than in antiviral innate immunity and by producing torsion in its 3D structure researchers will be able to detect either this protein is involved in any disease or not because according to previous studies it was not associated with any disease.
Preventing malnutrition within the first 1000 days of life in under-resourced communities: An integrative literature review
Authors: Nyarko Marian Joyce , van Rooyen Dalena (RM) , ten Ham-Baloyi Wilma
Published: April 2023

This integrative review aimed to summarise existing best evidence practice for preventing malnutrition within the First 1000 Days of Life in under-resourced communities. BioMed Central, EBSCOHOST (Academic Search Complete, CINAHL and MEDLINE), Cochrane Library, JSTOR, Science Direct and Scopus were searched as well as Google Scholar and relevant websites for grey literature. Most recent versions of strategies, guidelines, interventions and policies; published in English, focussing on preventing malnutrition in pregnant women and in children less than 2 years old in under-resourced communities, from January 2015 to November 2021 were searched for. Initial searches yielded 119 citations of which 19 studies met inclusion criteria. Johns Hopkins Nursing Evidenced-Based Practice Evidence Rating Scales for appraising research evidence and non-research evidence were used. Extracted data were synthesised using thematic data analysis. Five themes were derived from extracted data: 1. Improving social determinants of health using a multisector approach; 2. Enhancing infant and toddler feeding; 3. Managing healthy nutrition and lifestyle choices in pregnancy; 4. Improving personal and environmental health practices; and 5. Reducing low-birthweight incidence. Further exploration regarding preventing malnutrition in the First 1000 Days in under-resourced communities is required using high-quality studies. Systematic review registration number: H18-HEA-NUR-001 (Nelson Mandela University).
“You get stuck in it”: Young people's accounts of attempting to quit non-medical tramadol use
Authors: Arve Kristin
Published: April 2023

Aim: Non-medical use of tramadol and other prescription opioid use has become a great concern in many countries, including Sweden. This study examines key components in young people's accounts of attempting to quit drugs, focusing on non-medical use of tramadol. Methods: Repeated qualitative interviews were conducted with 12 individuals aged 19–24 years with experiences of problems related to non-medical tramadol use. The analysis used the concepts of autonomy, competence, and relatedness from self-determination theory. Results: Three themes emerged from the young people's accounts: (1) quitting initiated by parents and professionals; (2) being willing, but unable; and (3) between ambivalence and determination. These themes demonstrate conflicting emotions towards drug use along with a significant external pressure to quit, but also difficulties in quitting due to experiences of dependence, withdrawal symptoms, and mental health issues. For most participants, however, an increasing autonomous will and ability to abstain from drugs gradually developed, with the support from trusted relationships with professionals, family, and friends playing a crucial role. Conclusion: The process of trying to quit non-medical tramadol use can be challenging and involve a complex interaction between willingness and capability, where external influence can be either facilitating or hindering. This study highlights the importance of taking into account young people's own perspectives in treatment efforts, where trust is a key component.
Strategic visibility: architectures of data colonialism in Las Vegas
Authors: Bratton-Benfield Isadora
Published: April 2023

This article articulates the continuity between past and present infrastructural development in Las Vegas by focusing upon the materiality and visual cultural expression of the Google Henderson NV data center. The political implications and interstate dynamics at play in the development of this data center are historicized, focusing on large-scale tech and military projects that characterize the region’s development. Google’s promise that a data-driven future would be accompanied by social and economic benefits for the Las Vegas community lies in stark contrast to the reality of its data center’s function. The strategic adoption of Google’s vision by key local and state officials, alongside the data center’s material embodiment as visually abstract and camouflaged, allows the facility to avoid scrutiny and teaches us about the evolving position of labor in a post-Fordist economy, particularly with regard to housing and employment.
Is cryptocurrency personal property under Australian law? It depends
Authors: He Weiping
Published: April 2023

In response to the Australian Government's recent decision to introduce and regulate cryptocurrency exchanges, guided by recent jurisprudential developments the US and other common law jurisdictions, this article examines the implications of cryptocurrency as property, and being regulated as personal property under the Personal Property Securities Act 2009 (the ‘ PPSA’) in Australia. This article holds the view that some types of cryptocurrency can be recognised as personal property and discusses the possible ways of categorising cryptocurrency under the PPSA and the manners in which security interests in cryptocurrency can be perfected. Within the existing PPSA framework, this article proposes considering some types of cryptocurrency as a specific item of intangible property and argues that some types of cryptocurrency, as one category of personal property, may be best perfected by control by the secured party and/or through an intermediary.
Spatial electric potential distributions and damage mapping in 3D carbon fiber/epoxy angle-interlock woven composites with different current directions
Authors: Han Chaofeng , Ke Yanan , Guo Jinhui , Shi Baohui , Yu Bin , Jia Lin , Liu Jie
Published: April 2023

Exploring electric potential distributions in carbon fiber reinforced polymer composites (CFRPs) is important in electrical-based structural health monitoring for in situ damage detection. Here we investigate influences of current injection angles, electrode locations, and current injection pairs on the electric potential distributions in 3D carbon fiber/epoxy angle-interlock woven (AIW) composites. We have conducted different types of electric potential measurements and established a linear anisotropic conductivity model to reveal the electric potential distributions. It was found that the curved warp yarns form many contacts and increase the conduction path, leading to lower electric conductivity and flatter potential field than those of the weft yarn with straight alignment. The orientation and value of surface electric potential field change depend on current flow direction caused by current injection mode (CIM) and conduction mechanism due to yarn arrangement. Oblique current directed at an angle of 45° is more sensitive in indicating interior damage than that of current parallel to the yarn direction. It is recommended that the oblique current injection should be used to provide effective damage sensing for CFRPs with complex structures.
A decision support system for multi-stakeholder exploration of the airship design space
Authors: Richards DC , Salmon John L , Dickerson Tevin J , Mattson Christopher A , Neff William J
Published: April 2023

Although there have been oscillations in airship interest since their use in the early 1900s, technological advancements and the need for more flexible and environmentally friendly transportation modes have caused a stream of study and surge in airship development in recent years. For companies and governments to understand how airships can be incorporated into their fleets to fulfill new or existing mission types, system design space exploration is an important step in understanding airships, their uses, and their design parameters. A decision support system (DSS), Design Exploration of Lighter-Than-Air Systems (DELTAS), was developed to help stakeholders with this task. DELTAS allows users to design airships and missions to determine how a design will perform in the scenario. As airships are sensitive to elevation and altitude, wind and terrain can also be studied to see how they may affect a mission scenario. Simulations can also be run for a given mission to find the Pareto-optimal designs for user-defined ranges of high-level airship design parameters. A case study is provided that demonstrates how DELTAS can be used to explore the airship design space for a specified mission. This case study shows how a design of experiments is important to more thoroughly cover the design space and to find and understand the relationships between airship design variables that lead to optimal mission times and costs.
“We're All Mad Here!”: Becoming God in Bloodborne
Authors: Sen Aabir
Published: April 2023

This paper engages with Slavoj Žižek's notion of the ‘vanishing mediator,’ by taking a closer look at his study of the Hegelian ‘night of the world.’ It specifically probes into the notion of the divine madness that becomes the ‘Ground’ for the sane, subjective God of The Bible to Word the universe into being. Following this, it proceeds to bring the aforementioned into discourse with Bloodborne, which, in one of its endings, presents the curious case of the next stage of human evolution, i.e., a transcendence into Godhood, which occurs during a similar night. The paper, in essence, presents a dramatic stage for this madness to play out in its reading of Bloodborne, while tracing its vestiges using a postsecular-psychoanalytical lens.
Non-Indigenous Positionality when Engaging in de-colonising/re-indigenising Research and Its Place Within Visual Methodology
Authors: Brown Daniela Rodica Ana-Maria
Published: April 2023

The aim and purpose of this article has been to advocate for autobiographical investigation and identification of positionality when non-indigenous researchers engage in indigenous methodologies. My experience as an international adoptee from a Romanian orphanage who experienced unsafe research practice shaped my emancipatory positioning and interpretive lens. It is from this positioning and experience of marginalisation I was concerned with finding a research paradigm that positions participants not as objective objects; but rather as rivers of knowledge with stories that determine the tide of the research. The lens of tangata tiriti (people of the treaty) from which I base my practice in Aotearoa, New Zealand; invites a positionality of neighbourliness, thus prioritising de-colonising/re-indigenising methodologies. The focus for my research project explored the disconnection between teachers who hold a Biblical world view and their students who experienced feelings of agitation and frustration. The participants contributed insights about teachers’ pedagogy drawn from responding to two prompts: “what is happening when you were empowered by your teachers to flourish?” and “what is happening when you feel disempowered by your teachers?” The chosen research method Photoyarn, is a recently emerged form of photo-elicitation created by Jessa Rogers that honours aboriginal yarning circles. This article makes the case for recognizing our ontological and epistemological positioning thus maintaining authenticity in research and holding steadfast the ethical disposition intention of doing no harm.
Incidence of deep venous thrombosis in COVID-19 critically ill patients treated with intermediate-dose of heparin for thromboprophylaxis: The COVIDOP-DVT observational study
Authors: Maurizot Aurélien , Chabay Simon , Roger Guillaume , Tapiero Stéphanie , Georges Jean-Louis , Flaujac Claire , Paul Marine , Roche Anne , Bruneel Fabrice , Ferré Alexis
Published: April 2023

Introduction

The high prevalence of deep vein thrombosis (DVT) in patients admitted to intensive care unit (ICU) for COVID-19-related acute respiratory distress syndrome (ARDS) would justify systematic screening of these patients or higher therapeutic dose of heparin for thromboprophylaxis.

Material and method

We performed a systematic echo-Doppler of the lower limb proximal veins during the first 48 h (visit 1) and from 7 to 9 days after visit 1 (visit 2) in consecutive patients admitted to the ICU of a university-affiliated tertiary hospital for severe proven COVID-19 during the second wave. All patients received intermediate-dose heparin (IDH). The primary objective was to determine DVT incidence on venous Doppler ultrasound. Secondary objectives were to determine whether the presence of DVT modifies the anticoagulation regimen, the incidence of major bleeding according to International Society on Thrombosis and Haemostasis (ISTH) criteria, and the mortality rate of patients with and without DVT.

Results

We included 48 patients (30 [62.5%] men) with a median age of 63 years [IQR, 54–70]. The prevalence of proximal deep vein thrombosis was 4.2% (2/48). In these two patients, after DVT diagnosis, anticoagulation was changed from intermediate to curative dose. Two patients (4.2%) had a major bleeding complication according to ISTH criteria. Among the 48 patients, 9 (18.8%) died before hospital discharge. No DVT or pulmonary embolism was diagnosed in these deceased patients during their hospital stay.

Conclusion

In critically ill patients with COVID-19, management with IDH results in a low incidence of DVT. Although our study is not designed to demonstrate any difference in outcome, our results do not suggest any signal of harm when using intermediate-dose heparin (IDH) COVID-19 with a frequency of major bleeding complications less than 5%.
A microwave-assisted and efficient reduction protocol for the synthesis of alkyl-substituted [2.2]-paracyclophanes
Authors: Tian Mengyuan , Zhang Lixiang , Gao Lijing , Xiao Guomin
Published: April 2023

[2.2]-Paracyclophane derivatives have been promising platforms for applications in biology and materials science. To access pure derivatives thereof, a safe and non-toxic synthetic method for 4- n-propyl-[2.2]-paracyclophane is developed via a microwave-assisted and NH2NH2/KOH reduction route. We introduce microwave-assisted acylation for a synthesis that successfully improves the yield and reduces the reaction time. Notably, an exploration of the length and number of the alkyl chains on the [2.2]-paracyclophane ring did not significantly affect the outcome of this reaction. We synthesized 4- n-butyl-[2.2]-paracyclophane and 4,12-dipropyl-[2.2]-paracyclophane via our protocol with high yields. The regioselectivity of the second electrophilic substitution on 4- n-propyl-[2.2]-paracyclophane occurs at the para position of the less substituted phenyl ring.
Running more than before? The evolution of running load demands in the English Premier League
Authors: Allen Tom , Taberner Matt , Zhilkin Mikhail , Rhodes David
Published: April 2023

Purpose

The purpose of this study was to assess running load trends (total distance (TD), high-intensity distance (HID; > 5.5ms−1) and sprinting distance (SprD; > 7ms−1)) in the English Premier League (EPL) between the 2014/2015 and 2018/2019 seasons using a semi-automated optical tracking system.

Methods

A total of 1634 games across 5 seasons (2014/2015–2018/2019) were analysed for team and positional TD, HID and SprD. All matches were tracked using TRACAB® Gen-4 HD motion cameras. Data were analysed to identify significant team and positional differences for each metric.

Results

Small to moderate increases were seen in team running load for TD ( p   =   0.02; effect size (ES): 0.21), HID ( p  <  0.001; ES: 0.88) and SprD ( p  <  0.001; ES: 0.67) between 2014/2015 and 2018/2019. Positional analysis showed significant increases in TD for all except for defensive midfielders (DM), attacking midfielders (AM) and wide midfielders (WM) ( p  <  0.001–0.009; ES: 0.14–0.36); HID for all positions excluding goalkeepers (GK) ( p  <  0.001–0.007; ES: 0.2–0.54) and SprD for all positions except for GK, central midfielders (CM) and AM, ( p  <  0.001–0.020; ES: 0.19–0.39). Trivial to small differences were seen in season-to-season comparisons for TD ( p  <  0.001–0.023; ES: −0.16–0.52), HID ( p  <  0.001–0.033; ES: 0.10–0.38) and SprD ( p  <  0.001–0.025; ES: 0.13–0.27) for both team and positional differences.

Conclusion

Small to moderate increases in team TD, HID and SprD occurred in the EPL between 2014/2015 and 2018/2019, with trivial to small changes in season-to-season variations. Actual changes in running load over time appear to be dependent on playing position. Running load trends should be updated regularly and practitioners should be aware of the variability within their team, and programme accordingly.
Integrating in Silico and In Vitro Studies to Screen Anti-Staphylococcus aureus Activity From Vietnamese Ganoderma multiplicatum and Ganoderma sinense
Authors: Nguyen Trang Thi Thu , Nguyen Trinh Thi Tuyet , Nguyen Hoang Duc , Nguyen Tan Khanh , Pham Phu Tran Vinh , Tran Linh Thuoc , Tran Linh Thuy Thi , Tran Manh Hung
Published: April 2023

Background: Staphylococcus aureus is a nosocomial pathogen responsible for many serious infectious diseases in humans. Finding the anti- S. aureus agents is a time-consuming and costly process. Recently, computational methods have provided a better understanding of the interactions between herbal medicine drug targets to help clinical practitioners rationally design herbal formulae. Methods: In this study, molecular docking simulation was applied to screen a list of natural secondary metabolites from Ganoderma sp. on the protein target S. aureus sortase A. Molecular dynamics models were used to assess the stability of protein–ligand complexes during the first 100 ns. To validate the computational results, 2 Ganoderma species, G. multiplicatum VNKKK1901 and G. sinense VNKKK1902, were tested for antibacterial activity against S. aureus using the disk diffusion method. Results: The results showed that, among the selected compounds, ganosinensin B and ganosinoside A generated the highest binding energy on S. aureus sortase A, and demonstrated strong and stable binding capacity to proteins. In addition, the extracts of G. sinense VNKKK1902 and G. multiplicatum VNKKK1901 were bactericidal, with minimum bactericidal concentration (MBC)/minimum inhibitory concentration (MIC) ratios of 2. Conclusion: Our findings provide the first scientific report on the antibacterial activity of Ganoderma sp., which contain 2 promising compounds, ganosinensin B and ganosinoside A, as potential hits for developing novel drugs capable of supporting treatment of S. aureus infection.
Algorithmic discrimination at work
Authors: Kelly-Lyth Aislinn
Published: April 2023

The potential for algorithms to discriminate is now well-documented, and algorithmic management tools are no exception. Scholars have been quick to point to gaps in the equality law framework, but existing European law is remarkably robust. Where gaps do exist, they largely predate algorithmic decision-making. Careful judicial reasoning can resolve what appear to be novel legal issues; and policymakers should seek to reinforce European equality law, rather than reform it. This article disentangles some of the knottiest questions on the application of the prohibition on direct and indirect discrimination to algorithmic management, from how the law should deal with arguments that algorithms are ‘more accurate’ or ‘less biased’ than human decision-makers, to the attribution of liability in the employment context. By identifying possible routes for judicial resolution, the article demonstrates the adaptable nature of existing legal obligations. The duty to make reasonable accommodations in the disability context is also examined, and options for combining top-level and individualised adjustments are explored. The article concludes by turning to enforceability. Algorithmic discrimination gives rise to a concerning paradox: on the one hand, automating previously human decision-making processes can render discriminatory criteria more traceable and outcomes more quantifiable. On the other hand, algorithmic decision-making processes are rarely transparent, and scholars consistently point to algorithmic opacity as the key barrier to litigation and enforcement action. Judicial and legislative routes to greater transparency are explored.
Regulating algorithmic employment decisions through data protection law
Authors: Abraha Halefom
Published: April 2023

The regulation of algorithmic management falls under the purview of multiple legal domains including but not limited to labour law, non-discrimination law and data protection law. While labour law does not have explicit provisions to adequately protect workers from algorithmic harms, existing non-discrimination and data protection laws can address some aspects of these harms. This article examines the extent to which the GDPR offers the necessary tools to protect workers from harm stemming from algorithmic management. It argues that while the provisions tailored to automated decision-making (ADM) and the rest of the GDPR provide workers with some limited protections, significant gaps remain. It then suggests some policy options on how the existing protections under the GDPR can be further complemented, particularised, and strengthened through a combination of legislative and non-legislative measures.
Application of nanomaterials in the treatment of intracerebral hemorrhage
Authors: Zhang Xiangyu , Khan Suliman , Wei Ruixue , Zhang Yan , Liu Yang , Wee Yong Voon , Xue Mengzhou
Published: April 2023

Intracerebral hemorrhage (ICH) is a non-traumatic hemorrhage caused by the rupture of blood vessels in the brain parenchyma, with an acute mortality rate of 30%‒40%. Currently, available treatment options that include surgery are not promising, and new approaches are urgently needed. Nanotechnology offers new prospects in ICH because of its unique benefits. In this review, we summarize the applications of various nanomaterials in ICH. Nanomaterials not only enhance the therapeutic effects of drugs as delivery carriers but also contribute to several facets after ICH such as repressing detrimental neuroinflammation, resisting oxidative stress, reducing cell death, and improving functional deficits.
Parental mediation in Turkey: The use of mobile devices in early childhood
Authors: Aslan Alper , Turgut Yigit Emrah
Published: April 2023

This study aims to investigate the use of mobile devices including smartphones and tablets in terms of mediation types of parents who have young children. In this case study, which is one of the qualitative research methods, criterion sampling was adopted for the selection of the study group. The fact that parents of 4–7-year-old children who use mobile devices is determined as the principal criterion. Twelve children aged 4–7 and their parents participated in the study. Data were collected through child observations and parent interviews. The results indicated that children with the mediation of parental supervision had fewer problematic behaviors in the use of media and faced fewer online risks. Besides, children whose parents have general restrictive mediation were the most likely to exhibit problematic media use behaviors. Children whose parents have active mediation were also the most likely to face Internet risks. It was observed that children frequently played games and watched videos on mobile devices. Most parents considered their children’s use of mobile devices as risky and harmful, while it was considered as useful only by co-using parents. It was found that children’s use of mobile devices causes physical, psychological, communicational, and cognitive issues while improving their academic abilities, interests, and cognitive structures. Nevertheless, it was discovered that parents used mobile devices to convince their children to go through their daily routines such as eating, bathing, and sleeping or calm them down in the workplace or social environments.
A misdiagnosed case of a 150-cm umbilical cord coiled twice around the fetal neck with a true cord knot: A rare Syrian case report
Authors: Hanna Majd , Martini Nafiza , Deeb Yara , Mahmoud Wissam , Issa Samar Yhia
Published: April 2023

The normal umbilical cord is a crucial component during pregnancy, but sometimes it could become compromised due to some abnormalities such as excessive long umbilical cord, and though they usually end up with a healthy baby, they may lead to severe consequences. Excessive long umbilical cords are found in 4% of pregnancies and represent a risk factor for nuchal cords and true knots. We report a case of a 37-year-old Syrian pregnant woman who presented to the hospital at 37 weeks of gestation asking for a C-section for a fear of ambiguous ultrasound findings that have been interpreted as fetal malformation. At delivery, a healthy baby was born with a 150-cm umbilical cord, a true knot, and double-looped nuchal cords; the formation of the loops and the knot had been attributed to the elongated cord. Besides, ultrasound imaging could sometimes be deceptive and lead to unnecessary interventions; therefore, cord anomalies should always be kept in mind because they do not always represent a justification for a C-section.