bluuebunny/crossref_metadata_2025 huggingface dataset:
Hyaluronic acid/diminazene aceturate combination ameliorates osteoarthritic anomalies in a rodent model: a role of the ACE2/Ang1-7/MasR axis
Authors: Habib Yasser H. , Sheta Eman , Khattab Mahmoud , Gowayed Mennatallah A.
Published: September 2023

The implication of the tissue-localized renin-angiotensin system (RAS) in the pathogenesis of osteoarthritis (OA) has been documented in the last decades. A combination of intraarticular (IA) corticosteroid and hyaluronic acid (HYAL) is approved for pain relief in patients with mild to moderate OA. Combining HYAL with an activator of angiotensin-converting enzyme 2, diminazen aceturate (DIZE), was evaluated in this study for its therapeutic potential. Monosodium iodoacetate was used to induce OA. The effects of daily administration of DIZE versus once-per-week IA injection of HYAL and a combination of both drugs for 21 days on OA deformities in rats’ knees were observed. Evaluation of motor activities, pain, and inflammatory response was done using rotarod, knee bend, and knee swelling tests. RAS components, inflammatory biomarkers, and oxidative stress mediators were measured in the knee joint. X-ray radiological examination and histopathological investigations were used to assess joint degeneration and regeneration. Levels of both inflammatory and oxidative markers in knee joint homogenate of OA rats rose, and these increments were mostly improved by the three therapies with a more prominent effect of the drug combination, an effect that was also reflected in the behavioral tests. RAS markers have shown better responsiveness to the combination therapy over both drugs individually, showing a pronounced increase in the angiotensin 1–7 amount. Both radiological and histopathology investigations came to confirm the biochemical results, nominating a combination of HYAL and DIZE as a possible therapeutic option for OA.
Deep learning enhanced Watershed for microstructural analysis using a boundary class semantic segmentation
Authors: Fotos G. , Campbell A. , Murray P. , Yakushina E.
Published: September 2023

The mechanical properties of the materials are determined by the size and morphology of fine microscopic features. Quantitative microstructural analysis is a key factor to establish the correlation between the mechanical properties and the thermomechanical treatment under which material condition has been achieved. As such, microstructural analysis is a very important and complex task within the manufacturing sector. Published standards are used for metallographic analysis but typically involve extensive manual interpretation of grain boundaries, resulting in measurements that are slow to produce, difficult to repeat and highly subjective. Computer vision and the evolution of artificial intelligence in the past decade can offer solutions to such problems. Deep learning and digital image processing techniques allow digital microstructural analysis to be automated using a fast and repeatable method. This paper proposes a novel boundary class semantic segmentation approach (BCSS) to identify each phase of the microstructure and additionally estimate the location of the grain boundaries. The BCSS is then combined with more traditional segmentation techniques based on the Watershed Transform to improve the identification and measurement of each feature within the microstructure using a new, hybrid automated digital microstructure analysis approach. The new method is validated on a published dataset of two-phase titanium alloy microstructure pictures captured using a scanning electron microscope. Measurements match the level of accuracy of accepted manual standards, and the method is demonstrated to be more reliable than other automated approaches. The influence of the subjective nature of manual labelling, required to train the proposed network, is also evaluated.
Visualizing Fluid Flows via Regularized Optimal Mass Transport with Applications to Neuroscience
Authors: Chen Xinan , Tran Anh Phong , Elkin Rena , Benveniste Helene , Tannenbaum Allen R.
Published: September 2023

The regularized optimal mass transport (rOMT) problem adds a diffusion term to the continuity equation in the original dynamic formulation of the optimal mass transport (OMT) problem proposed by Benamou and Brenier. We show that the rOMT model serves as a powerful tool in computational fluid dynamics for visualizing fluid flows in the glymphatic system. In the present work, we describe how to modify the previous numerical method for efficient implementation, resulting in a significant reduction in computational runtime. Numerical results applied to synthetic and real-data are provided.
Learning Language, Un/Learning Empathy in Medical School
Authors: Holmes Seth M.
Published: September 2023

This article considers the ways in which empathy for patients and related solidarity with communities may be trained out of medical students during medical school. The article focuses especially on the pre-clinical years of medical school, those that begin with orientation and initiation events such as the White Coat Ceremony. The ethnographic data for the article come from field notes and recordings from my own medical training as well as hundreds of hours of observant participation and interviews with medical students over the past several years. Exploring the framework of language socialization, I argue that learning the verbal, textual and bodily language of medical practice contributes to the increasing experience of separation between physicians and patients. Further considering the ethnographic data, I argue that we also learn a form of empathy limited to performance that short circuits clinical care and the possibility for solidarity for health equity. The article concludes with implications for medical education and the medical social sciences and humanities.
First-person disavowals of digital phenotyping and epistemic injustice in psychiatry
Authors: Slack Stephanie K. , Barclay Linda
Published: September 2023

Digital phenotyping will potentially enable earlier detection and prediction of mental illness by monitoring human interaction with and through digital devices. Notwithstanding its promises, it is certain that a person’s digital phenotype will at times be at odds with their first-person testimony of their psychological states. In this paper, we argue that there are features of digital phenotyping in the context of psychiatry which have the potential to exacerbate the tendency to dismiss patients’ testimony and treatment preferences, which can be instances of epistemic injustice. We first explain what epistemic injustice is, and why it is argued to be an extensive problem in health and disability settings. We then explain why epistemic injustice is more likely to apply with even greater force in psychiatric contexts, and especially where digital phenotyping may be involved. Finally, we offer some tentative suggestions of how epistemic injustice can be minimised in digital psychiatry.
Evaluating machine learning technologies for food computing from a data set perspective
Authors: Gilal Nauman Ullah , Al-Thelaya Khaled , Al-Saeed Jumana Khalid , Abdallah Mohamed , Schneider Jens , She James , Awan Jawad Hussain , Agus Marco
Published: September 2023

Food plays an important role in our lives that goes beyond mere sustenance. Food affects behavior, mood, and social life. It has recently become an important focus of multimedia and social media applications. The rapid increase of available image data and the fast evolution of artificial intelligence, paired with a raised awareness of people’s nutritional habits, have recently led to an emerging field attracting significant attention, called food computing, aimed at performing automatic food analysis. Food computing benefits from technologies based on modern machine learning techniques, including deep learning, deep convolutional neural networks, and transfer learning. These technologies are broadly used to address emerging problems and challenges in food-related topics, such as food recognition, classification, detection, estimation of calories and food quality, dietary assessment, food recommendation, etc. However, the specific characteristics of food image data, like visual heterogeneity, make the food classification task particularly challenging. To give an overview of the state of the art in the field, we surveyed the most recent machine learning and deep learning technologies used for food classification with a particular focus on data aspects. We collected and reviewed more than 100 papers related to the usage of machine learning and deep learning for food computing tasks. We analyze their performance on publicly available state-of-art food data sets and their potential for usage in multimedia food-related applications for various needs (communication, leisure, tourism, blogging, reverse engineering, etc.). In this paper, we perform an extensive review and categorization of available data sets: to this end, we developed and released an open web resource in which the most recent existing food data sets are collected and mapped to the corresponding geographical regions. Although artificial intelligence methods can be considered mature enough to be used in basic food classification tasks, our analysis of the state-of-the-art reveals that challenges related to the application of this technology need to be addressed. These challenges include, among others: poor representation of regional gastronomy, incorporation of adaptive learning schemes, and reverse engineering for automatic food creation and replication.
Design flood estimation at ungauged catchments using index flood method and quantile regression technique: a case study for South East Australia
Authors: Zalnezhad Amir , Rahman Ataur , Ahamed Farhad , Vafakhah Mehdi , Samali Bijan
Published: September 2023

Flood is one of the worst natural disasters, which causes the damage of billions of dollars each year globally. To reduce the flood damage, we need to estimate design floods accurately, which are used in the design and operation of water infrastructure. For gauged catchments, flood frequency analysis can be used to estimate design floods; however, for ungauged catchments, regional flood frequency analysis (RFFA) is used. This paper compares two popular RFFA techniques, namely the quantile regression technique (QRT) and the index flood method (IFM). A total of 181 catchments are selected for this study from south-east Australia. Eight predictor variables are used to develop prediction equations. It has been found that IFM outperforms QRT in general. For higher annual exceedance probabilities (AEPs), IFM generally demonstrates a smaller estimation error than QRT; however, for smaller AEPs (e.g. 1 in 100), QRT provides more accurate quantile estimates. The IFM provides comparable design flood estimates with the Australian Rainfall and Runoff—the national guide for design flood estimation in Australia.
A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning
Authors: Deng Shao , Xiao Shanzhu , Deng Qiuqun , Lu Huanzhang
Published: September 2023

Hardware/software (HW/SW) partitioning is a vital aspect of HW/SW co-design. With the development of the design complexity in heterogeneous computing systems, existing partitioning algorithms have demonstrated inadequate performance in addressing problems relating to large-scale task nodes. This paper presents a novel HW/SW partitioning algorithm based on node resource attributes hovering swarm particle swarm optimization (HSPSO). First, the system task graph is initialized via the node resource urgency partitioning algorithm; then, the iterative solution produced by HSPSO algorithm yields the partitioning result. We present new initialization by combining node resource attribute information and introduce two improvements to the learning strategy of HSPSO algorithm. For the main swarm, a directed sample set and the addition of perturbation particles are designed to direct the main swarm’s particle search process. For the secondary swarm, a dynamic particle update equation is formulated. Iterative updates are performed based on previous rounds’ prior information using adaptive inertia weight. The experimental results illustrate that, in large-scale systems task graph partitioning with more than 400 nodes, when compared with mainstream partitioning algorithms, the proposed algorithm improves partitioning performance by no less than 10% for compute-intensive task graphs and no <5% for communication-intensive task graphs, with higher solution stability.
Intravesical liposomal tacrolimus for hemorrhagic cystitis: a phase 2a multicenter dose-escalation study
Authors: Hafron Jason , Breyer Benjamin N. , Joshi Shreyas , Smith Christopher , Kaufman Melissa R. , Okonski Janet , Chancellor Michael B.
Published: September 2023

Background

Hemorrhagic cystitis (HC) is an inflammatory disease of the bladder with sustained hematuria for which there is currently no approved drug treatment. We evaluated a liposomal tacrolimus preparation (LP-10) in patients with refractory moderate to severe sterile HC.

Methods

This phase 2a dose-escalation study assessed the safety and efficacy of up to 2 intravesical instillations of LP-10 (2, 4, or 8 mg tacrolimus) in 13 patients with HC. Primary efficacy outcomes were changes from baseline in the number of bleeding sites on cystoscopy, microscopic urine analysis for red blood cells (RBCs), and hematuria on dipstick. Additional efficacy measures included urinary incontinence, frequency, and urgency on a 3-day diary and cystoscopy global response assessment (GRA). Blood samples for pharmacokinetic (PK) assessment were obtained in all patients.

Results

Intravesical LP-10 was well tolerated, with no treatment-related severe or serious adverse events (AEs) and only 3 drug-related AEs (artificial urinary sphincter malfunction, dysuria, and bladder spasms). LP-10 blood levels showed short durations of minimal systemic uptake. Treatment resulted in significant improvements in bleeding on cystoscopy, RBC counts in urine, hematuria on dipstick, and urinary incontinence. Bleeding on cystoscopy and urinary incontinence showed dose-dependent improvements that were more pronounced in the 4 mg and 8 mg dose groups. All dose groups showed a significant improvement in cystoscopy GRA.

Conclusion

LP-10 was well tolerated, with clinically relevant efficacy seen in improvements in cystoscopic bleeding, hematuria, and urinary incontinence. The benefit-risk profile supports the further clinical development of LP-10 at a tacrolimus dose of 4 mg.
Cognitive personalization for online microtask labor platforms: A systematic literature review
Authors: Paulino Dennis , Correia António , Barroso João , Paredes Hugo
Published: September 2023

Online microtask labor has increased its role in the last few years and has provided the possibility of people who were usually excluded from the labor market to work anytime and without geographical barriers. While this brings new opportunities for people to work remotely, it can also pose challenges regarding the difficulty of assigning tasks to workers according to their abilities. To this end, cognitive personalization can be used to assess the cognitive profile of each worker and subsequently match those workers to the most appropriate type of work that is available on the digital labor market. In this regard, we believe that the time is ripe for a review of the current state of research on cognitive personalization for digital labor. The present study was conducted by following the recommended guidelines for the software engineering domain through a systematic literature review that led to the analysis of 20 primary studies published from 2010 to 2020. The results report the application of several cognition theories derived from the field of psychology, which in turn revealed an apparent presence of studies indicating accurate levels of cognitive personalization in digital labor in addition to a potential increase in the worker’s performance, most frequently investigated in crowdsourcing settings. In view of this, the present essay seeks to contribute to the identification of several gaps and opportunities for future research in order to enhance the personalization of online labor, which has the potential of increasing both worker motivation and the quality of digital work.
Demographic history and conservation aspects of two relict shrubs (Daphnimorpha spp., Thymelaeaceae) showing disjunct and restricted distribution in the southern part of Japan
Authors: Takahashi Daiki , Suyama Yoshihisa
Published: September 2023

Climate relicts are of particular importance in evolutionary biology because of the strategies they may adopt for long-term survival despite climatic oscillations. However, because their current distribution is usually restricted and fragmented, many climatic relicts are at risk of extinction. Daphnimorpha (Thymelaeaceae) is a genus endemic to Japan that comprises two species (D. capitellata and D. kudoi) with a disjunct distribution in southern Japan. These two shrub species are endemic to a single mountain range. In this study, we conducted population genetic analyses using genome-wide single nucleotide polymorphisms obtained from multiplexed inter-simple sequence repeats genotyping by sequencing to reveal the phylogeographic history and obtain conservation implications for the two species. The results showed that these two species may have been isolated since the Tertiary period, supporting their status as climate relicts. In addition, D. kudoi showed clear genetic differentiation between the two mountains where it occurred (Mt. Nagata and Mt. Kuromi), with a decline in the effective population sizes inferred during the last glacial period. In contrast, D. capitellata showed no clear intraspecific genetic structure, and its effective population size was relatively stable. These differences could result in contrasting light tolerance between species. For conservation, we recommend managing these species as three evolutionarily significant units (ESUs): D. capitellata, D. kudoi population on Mt. Nagata, and D. kudoi population on Mt. Kuromi. Considering the limited gene flow among subpopulations and small population census, all ESUs require conservation attention to maintain or increase their effective population sizes.
Copper selenide nanobelts an electrocatalyst for methanol electro-oxidation reaction
Authors: Ullah Nabi , Chmiel Sandra , Guziejewski Dariusz , Khan Saraf , Hussain Shahid , Małecka Magdalena
Published: September 2023

Energy crisis of the current society have attract the research attention for alternative energy sources. Methanol oxidation is source of energy but need efficient electrocatalyst like Pt. However, their practical ability is hinder due to cost and poisoning effect. In this regard, efficient catalyst is required for methanol oxidation. Herein, high temperature, pressure, and diethylenetryamine (DETA) as reaction medium/structure directing agent during solvothermal method are used for nanobelt Cu3Se2/Cu1.8Se (mostly hexagonal appearance) formation. The electrocatalyst shows optimized methanol electrooxidation reaction (MOR) response in 1 M KOH and 0.5 M methanol at scan rate of 50 mV/s and delivers a current density 7.12 mA/mg at potential of 0.65 V (vs Ag/AgCl). The catalyst exhibits high electrochemical active surface area (ECSA) (0.088 mF/cm2) and low Rct with good stability for 3600 s which favor its high MOR performance. This high response is due to its 2D hexagonal nanobelt morphology, which provides large surface area for reaction. The space among nanobelt reduce diffusion kinetics and rough/irregular edge increase reaction site to overall improve the methanol oxidation reaction.
Gender wage difference estimation at quantile levels using sample survey data
Authors: Anastasiade-Guinand Mihaela-Cătălina , Matei Alina , Tillé Yves
Published: September 2023

This paper is motivated by the growing interest in estimating gender wage differences in official statistics. The wage of an employee is hypothetically a reflection of her or his characteristics, such as education level or work experience. It is possible that men and women with the same characteristics earn different wages. Our goal is to estimate the differences between wages at different quantiles, using sample survey data within a superpopulation framework. To do this, we use a parametric approach based on conditional distributions of the wages in function of some auxiliary information, as well as a counterfactual distribution. We show in our simulation studies that the use of auxiliary information well correlated with the wages reduces the variance of the counterfactual quantile estimates compared to those of the competitors. Since, in general, wage distributions are heavy-tailed, the interest is to model wages by using heavy-tailed distributions like the GB2 distribution. We illustrate the approach using this distribution and the wages for men and women using simulated and real data from the Swiss Federal Statistical Office.
Interaction of Optimal Cerebral Perfusion Pressure with Early Brain Injury and its Impact on Ischemic Complications and Outcome Following Aneurysmal Subarachnoid Hemorrhage
Authors: Malinova Vesna , Kranawetter Beate , Tuzi Sheri , Moerer Onnen , Rohde Veit , Mielke Dorothee
Published: September 2023

Background

Cerebral autoregulation is impaired early on after aneurysmal subarachnoid hemorrhage (aSAH). The study objective was to explore the pressure reactivity index (PRx) and cerebral perfusion pressure (CPP) in the earliest phase after aneurysm rupture and to address the question of whether an optimal CPP (CPPopt)–targeted management is associated with less severe early brain injury (EBI).

Methods

Patients with aSAH admitted between 2012 and 2020 were retrospectively included in this observational cohort study. The PRx was calculated as a correlation coefficient between intracranial pressure and mean arterial pressure. By plotting the PRx versus CPP, CPP correlating the lowest PRx value was identified as CPPopt. EBI was assessed by applying the Subarachnoid Hemorrhage Early Brain Edema Score (SEBES) on day 3 after ictus. An SEBES ≥ 3 was considered severe EBI.

Results

In 90 of 324 consecutive patients with aSAH, intracranial pressure monitoring was performed ≥ 7 days, allowing for PRx calculation and CPPopt determination. Severe EBI was associated with larger mean deviation of CPP from CPPopt 72 h after ictus (r = 0.22, p = 0.03). Progressive edema requiring decompressive hemicraniectomy was associated with larger deviation of CPP from CPPopt on day 2 (r = 0.23, p = 0.02). The higher the difference of CPP from CPPopt on day 3 the higher the mortality rate (r = 0.31, p = 0.04).

Conclusions

Patients with CPP near to the calculated CPPopt in the early phase after aSAH experienced less severe EBI, less frequently received decompressive hemicraniectomy, and exhibited a lower mortality rate. A prospective evaluation of CPPopt-guided management starting in the first days after ictus is needed to confirm the clinical validity of this concept.
MiR-126 and miR-146a as Melatonin-Responsive Biomarkers for Neonatal Brain Ischemia
Authors: Albertini Maria Cristina , Vanzolini Tania , Perrone Serafina , Weiss Michael D. , Buonocore Giuseppe , Dell’Orto Valentina , Balduini Walter , Carloni Silvia
Published: September 2023

Despite advances in obstetric and neonatal care, challenges remain in early identification of neonates with encephalopathy due to hypoxia-ischemia who are undergoing therapeutic hypothermia. Therefore, there is a deep search for biomarkers that can identify brain injury. The aims of this study were to investigate the serum and brain expressions of two potential biomarkers, miR-126/miR-146a, in a preclinical model of hypoxia-ischemia (HI)–induced brain injury, and to explore their modulation during melatonin treatment. Seven-day-old rats were subjected to permanent ligation of the right carotid artery followed by 2.5 h hypoxia (HI). Melatonin (15 mg/kg) was administered 5 min after HI. Serum and brain samples were collected 1, 6 and 24 h after HI. Results show that HI caused a significant increase in the circulating levels of both miR-126 and miR-146a during the early phase of ischemic brain damage development (i.e. 1 h), with a parallel and opposite pattern in the ischemic cerebral cortex. These effects are not observed 24 h later. Treatment with melatonin restored the HI-induced effects on miR-126/miR-146a expressions, both in the cerebral cortex and in serum. We conclude that miR-126/miR-146a are promising biomarkers of HI injury and demonstrate an associated change in concentration following melatonin treatment.
FKBP51-Hsp90 Interaction-Deficient Mice Exhibit Altered Endocrine Stress Response and Sex Differences Under High-Fat Diet
Authors: Wang Lisha , Wojcieszak Jakub , Kumar Rajnish , Zhao Zhe , Sun Xuelian , Xie Shaoxun , Winblad Bengt , Pavlov Pavel F.
Published: September 2023

FK506-binding protein 51 kDa (FKBP51), encoded by Fkbp5 gene, gained considerable attention as an important regulator of several aspects of human biology including stress response, metabolic dysfunction, inflammation, and age-dependent neurodegeneration. Its catalytic peptidyl-prolyl isomerase (PPIase) activity is mediated by the N-terminal FK506-binding (FK1) domain, whereas the C-terminal tetratricopeptide motif (TPR) domain is responsible for FKBP51 interaction with molecular chaperone heat shock protein 90 (Hsp90). To understand FKBP51-related biology, several mouse models have been created. These include Fkbp5 complete and conditional knockouts, overexpression, and humanized models. To dissect the role of FKBP51-Hsp90 interaction in FKBP51 biology, we have created an interaction-deficient mouse (Fkbp5TPRmut) by introducing two-point mutations in the TPR domain of FKBP51. FKBP51-Hsp90 interaction-deficient mice are viable, fertile and show Mendelian inheritance. Intracellular association of FKBP51 with Hsp90 is significantly reduced in homozygous mutants compared to wild-type animals. No behavioral differences between genotypes were seen at 2 months of age, however, sex-dependent differences were detected in Y-maze and fear conditioning tests at the age of 12 months. Moreover, we have found a significant reduction in plasma levels of corticosterone and adrenocorticotropic hormone in Fkbp5TPRmut mice after acute stress. In contrast to Fkbp5 knockout mice, females of Fkbp5TPRmut showed increased body weight gain under high-fat diet treatment. Our data confirm the importance of FKBP51-Hsp90 interactions for stress-related endocrine signaling. Also, Fkbp5TPRmut mice can serve as a useful in vivo tool to discriminate between Hsp90-dependent and independent functions of FKBP51.
Probiotic potential of Bacillus Isolates from Polish Bee Pollen and Bee Bread
Authors: Pełka Karolina , Hafeez Ahmer Bin , Worobo Randy W. , Szweda Piotr
Published: September 2023

The main goal of this study was the evaluation of the probiotic potential of 10 Bacillus spp. strains isolated from 5 bee bread and 3 bee pollen samples. The antagonistic interaction with Staphylococcus aureus and Escherichia coli was a primary criterion for the preliminary selection of the isolates. Three out of ten strains—PY2.3 (isolated from pollen), BP20.15 and BB10.1 (both isolated from bee bread)—were found to be possible probiotic strains. All these strains are safe for humans (exhibiting

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-hemolytic activity) and meet all essential requirements for probiotics in terms of viability in the presence of bile salts and acid conditions, hydrophobicity, auto-aggregation, and co-aggregation with the cells of important human pathogenic bacteria. They also assimilate more than 30% of cholesterol after 24 h of incubation. These three isolates are resistant to penicillin but sensitive (or exhibit moderate resistance) to the other nine antibiotics tested herein. On the basis of whole-genome sequencing, BP20.15 and BB10.1 were classified as B. subtilis and PY2.3 as B. velezensis. Moreover, genomic analyses revealed that all these isolates are potential producers of different antimicrobial compounds, including bacteriocins and secondary metabolites. The outcomes of this study have proven that some of the Bacillus strains isolated from bee pollen or bee bread are potential probiotics.
Applications of Robotics for Autism Spectrum Disorder: a Scoping Review
Authors: Santos Laura , Annunziata Silvia , Geminiani Alice , Ivani Alessia , Giubergia Alice , Garofalo Daniela , Caglio Arianna , Brazzoli Elena , Lipari Rossella , Carrozza Maria Chiara , Ambrosini Emilia , Olivieri Ivana , Pedrocchi Alessandra
Published: September 2023

Robotic therapies are receiving growing interest in the autism field, especially for the improvement of social skills of children, enhancing traditional human interventions. In this work, we conduct a scoping review of the literature in robotics for autism, providing the largest review on this field from the last five years. Our work underlines the need to better characterize participants and to increase the sample size. It is also important to develop homogeneous training protocols to analyse and compare the results. Nevertheless, 7 out of the 10 Randomized control trials reported a significant impact of robotic therapy. Overall, robot autonomy, adaptability and personalization as well as more standardized outcome measures were pointed as the most critical issues to address in future research.
Variation of Poisson’s Ratio of NiTi During Pseudoelastic Deformation
Authors: Shariat Bashir S. , Liu Yinong
Published: September 2023

NiTi alloy exhibits a stress-induced B2 ↔ B19' martensitic transformation. This transformation is practically isochoric, thus has a Poisson’s ratio of 0.5. This imposes a complex interaction with elastic deformation which has a lower Poisson’s ratio and with plastic deformation which is not recoverable when interacting with other materials in a composite or an assembly, thus a challenge for the design of such materials or devices using them. This study investigated the variation of the Poisson’s ratio of a NiTi alloy during pseudoelastic deformation by means of the digital image correlation technique. The Poisson’s ratio of the alloy was found to increase from 0.39 in the apparent elastic deformation stage to 0.44 prior to the onset of the Lüders-type deformation and then to 0.48 after the passing of the Lüders band.
Intention-based social influence in (non)strategic sharing experiments
Authors: Di Cagno Daniela , Güth Werner , Puca Marcello , Sbriglia Patrizia
Published: September 2023

We experimentally study intention-based social influence in standard and modified Ultimatum and Impunity games. Standard games with bi-dimensional strategy vectors let individuals decide independently in the role of proposer and responder and allow fairness intentions to be role dependent. Uni-dimensional strategy vectors in modified games constrain individuals to consistent offers and acceptance thresholds. To induce social influence, we randomly match participants in groups of four, which are minimally identified by colors. Social influence is assessed by how one reacts to information about median group intention(s). The <mml:math xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mnf="http://cambridge.org/core/manifest" xmlns:cup="http://contentservices.cambridge.org" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:m="http://cambridge.org/core/metadata" xmlns:core="http://cambridge.org/core" xmlns:c="http://cambridge.org/core/content">2×2 factorial experimental design varies the order of the two game types and the strategy vector dimensionality. Social influence, depending on the game type and strategy dimensionality, significantly impacts participants’ behavior compared to their own intention. At the aggregate level, however, these differences cancel each other out. As there are more constraints on the action space, uni-dimensionality increases strategic concerns.
A Contextual Approach to Designing, Implementing, and Adapting a Wellbeing Program: A case Study of the MARKERS Wellbeing Program for Educators
Authors: Cann Rachel , Sinnema Claire , Daly Alan J. , Rodway Joelle
Published: September 2023

Improving educator wellbeing presents a complex challenge due to the variety of influences on wellbeing at the individual, relational, and contextual (school and policy) levels. This complexity contributes to the gap between the effectiveness of positive psychology interventions (PPIs) and their real-world success. To bridge this gap, it is essential to understand and adapt to school context when integrating psychological interventions into educational settings. This study addresses this gap through an approach to developing an educator wellbeing program that embraces the idea of understanding and adapting to context. We use a theory of change approach to designing a program, that outlines the context, design rationale, activities, and outcomes of the program. The program is multi-level, targeting influences on educator wellbeing at the individual, relational, and contextual (school) levels. Additionally, it employs a multi-foci strategy, encompassing a range of activities that target different levels and allow for adaptation. We present a case study of program implementation in one school, exploring contextual factors, adapting the program accordingly, and evaluating the degree to which theory of change outcomes were achieved. Program participants experienced improved wellbeing and a relational space characterised by more positive interactions with colleagues. This design and case study contribute to the ongoing discourse on progressing towards context-specific, whole-school approaches to wellbeing.
Length-weight Relationship of Five Demersal Fish Species in Guinea Bissau (CE Atlantic)
Authors: Jurado-Ruzafa Alba , Hernández-González Carlos
Published: September 2023

Length-weight relationships (LWR) were determined for Brotula barbata, Dentex angolensis, Dentex macrophthalmus, Neomerinthe folgori and Scorpaena stephanica using individual fish records collected between July 2002 and January 2003, during a pilot project of experimental fishing over the shelf off Guinea Bissau. Fishes were caught by commercial vessels using bottom longline, measured defrost for the total length (to the lower 0.1 cm) and weighted for the total weight (TW, to the 0.1 g), and sexed. Two new maximum total lengths were registered for Scorpaena stephanica and Neomerinthe folgori, whose LWR b-values corresponded to the limits of the range obtained, between 2.833 and 3.318, respectively. All LWRs were obtained from well-adjusted linear regressions with r2 ≥ 0.90. Data presented herein expand the knowledge base for these species in West Africa, as they have limited or no LWR data available.
Remote vs Face-to-face Interventions for Bulimia Nervosa and Binge-eating Disorder: a Systematic Review and Meta-analysis
Authors: Samara Myrto T. , Michou Niki , Argyrou Aikaterini , Mathioudaki Elissavet , Bakaloudi Dimitra Rafailia , Tsekitsidi Eirini , Polyzopoulou Zoi A. , Lappas Andreas S. , Christodoulou Nikos , Papazisis Georgios , Chourdakis Michail
Published: September 2023

Remote delivery of interventions (e.g., online sessions, telephone sessions, e-mails, SMS, applications) facilitate access to health care and might be an efficacious alternative to face to face treatments for bulimia nervosa (BN) and binge-eating disorder (BED). Telehealth has evolved rapidly in recent years, facilitating access to health care, as it seems to be more accessible among different groups of the population. In the light of the COVID-19 pandemic, we decided to conduct a systematic review and meta-analysis of randomized controlled trials (RCTs) that compared remote versus face-to-face interventions for the treatment of BN and BED. We searched EMBASE, PubMed, CENTRAL, ClinicalTrials.gov, and WHO ICTRP and reference lists of relevant articles up to April, 2023. The primary outcomes were remission (defined as abstinence from binge/bulimic episodes for at least 2 weeks) and frequency of binge episodes. We also analyzed frequency of purging episodes, response, mean values of eating disorder psychopathology, depression, anxiety, and quality of life rating scales as well as drop-out rates and adverse effects. Six RCTs were identified with a total of 698 participants. Face-to-face interventions were found more effective than remote interventions in terms of remission (RR = 0.69, 95% CI 0.53 to 0.89, P = 0.004, 4 RCTs, N = 526), but the result was mainly driven by one study. No important differences were found in the remaining outcomes; nevertheless, most comparisons were underpowered. Few adverse effects were reported. Remote interventions demonstrated comparable efficacy to face-to-face interventions in treating BN and BED, providing effective and acceptable healthcare to patients who would otherwise go untreated. Nonetheless, to arrive at more definitive and secure conclusions, it is imperative that additional randomized controlled trials and robust real-world effectiveness studies, preferably with appropriate comparison groups, are conducted.
Validation of gestational weight gain records on South Carolina birth certificate data
Authors: Momodu Oluwatosin A. , Horner Ronnie D. , Liu Jihong , Crouch Elizabeth , Chen Brian
Published: September 2023

Objective

To examine the accuracy of gestational weight gain (GWG) reported on birth certificates (BCs) in comparison with electronic medical records (EMRs), the gold standard.

Methods

BC data and EMR data were from a random sample of pregnant women who enrolled in CenteringPregnancy program, a type of group-based prenatal care, at three obstetric clinics in South Carolina between 2015 and 2019 (n = 206). Retrospective review of EMR data on patients’ prepregnancy BMI and GWG according to 2009 Institute of Medicine guidelines was conducted. Analyses involved summarizing the variables by their mean and mean differences per data source, and then calculating percent-weighted agreement and kappa statistics.

Results

The mean values of BMI, delivery weight and total weight gain were similar between BC and EMRs. Data correlation for variables was high for both data sources (height: r = 0.94, prepregnancy weight: r = 0.93, prepregnancy BMI: r = 0.92, delivery weight: r = 0.96, total weight gain: r = 0.60). The BCs slightly underestimated the proportion of women in the normal-weight BMI category but overestimated the proportion in the overweight BMI category. Additionally, BCs slightly overestimated women with inadequate GWG and underestimated those with excessive GWG. Overall, the BC and EMR data were in agreement regarding prepregnancy BMI (weighted-agreement = 90%, Kappa = 0.78) and GWG categories (weighted-agreement = 84%, Kappa = 0.63).

Conclusion

BC estimates of prepregnancy BMI and GWG categories were similar to those recorded in the EMRs. The South Carolina BC database is a valid database for gestational weight and can provide reasonable estimates for the state in the evaluation of the CenteringPregnancy program.
Five experimentations in computer vision: seeing (through) images from Large Scale Vision Datasets
Authors: Moreschi Bruno
Published: September 2023

Using images from large-scale vision datasets (LSVDs), five practice-based studies – experimentations – were carried out to shed light on the visual content, replications of historical continuities, and precarious human labour behind computer vision. First, I focus my analysis on the dominant ideologies coming from a colonial mindset and modern taxonomy present in the visual content of the images. Then, in an exchange with microworkers, I highlight the decontextualized practices that these images undergo during their tagging and/or description, so that they become data for machine learning. Finally, using as reference two counterhegemonic initiatives from Latin America in the 1960s, I present a pedagogical experience constituting a dataset for computer vision based on works of art at a historical museum. The results offered by these experimentations serve to help speculate on more radical ways of seeing the world through machines.
The ‘artificial intelligentsia’ and its discontents: an exploration of 1970s attitudes to the ‘social responsibility of the machine intelligence worker’
Authors: Powell Rosamund
Published: September 2023

In 1972, ten members of the machine intelligence research community travelled to Lake Como, Italy, for a conference on the ‘social implications of machine intelligence research’. This paper explores their varied and contradictory approaches to this topic. Researchers, including John McCarthy, Donald Michie and Richard Gregory, raised ‘ethical’ questions surrounding their research and actively predicted risks of machine intelligence. At the same time, they delayed any action to mitigate these risks to an uncertain future where technical capabilities were greater. I argue that conference participants’ claims that 1972 was ‘too early’ to speculate on societal impacts of their research were disingenuous, motivated both by threats to funding and by researchers’ own politically informed speculation on the future.
The challenges of fieldwork: Improving the experience for women in coastal sciences
Authors: Hamylton Sarah M. , Power Hannah E. , Gallop Shari L. , Vila-Concejo Ana
Published: September 2023

Women face disproportionate challenges while undertaking coastal fieldwork. We draw on 18 responses that specifically raise fieldwork issues from an international survey about perceptions and experiences of gender inequality for those working in coastal sciences to discuss two common themes. These themes are barriers to fieldwork participation and challenges for women working in coastal field settings such as boats or working on beaches, including discrimination and sexual harassment. We suggest five priority behavioural and policy changes to improve the fieldwork experience for women in coastal sciences: (i) publicise field role models and trail blazers, (ii) improve opportunities and capacity for women to undertake fieldwork, (iii) establish field codes of conduct, (iv) acknowledge the challenges women face in the field and provide support where possible, and (v) foster an enjoyable and supportive fieldwork culture.
TIME SERIES OF SURFACE WATER DISSOLVED INORGANIC CARBON ISOTOPES FROM THE SOUTHERN CALIFORNIA BIGHT
Authors: Hauksson Niels E , Xu Xiaomei , Pedron Shawn , Martinez Hector A , Lewis Christian B , Glynn Danielle S , Glynn Christopher , Garcia Noreen , Flaherty Alessandra , Thomas Katherine , Griffin Sheila , Druffel Ellen R M
Published: September 2023

Dissolved inorganic carbon (DIC) in ocean water is a major sink of fossil fuel derived CO2. Carbon isotopes in DIC serve as tracers for oceanic water masses, biogeochemical processes, and air-sea gas exchange. We present a timeseries of surface DIC δ13C and Δ14C values from 2011 to 2022 from Newport Beach, California. This is a continuation of previous timeseries (Hinger et al. 2010; Santos et al. 2011) that together provide an 18-year record. These data show that DIC Δ14C values have declined by 42‰ and that DIC δ13C values have declined by 0.4‰ since 2004. By 2020, DIC Δ14C values were within analytical error of nearby clean atmospheric CO2 Δ14C values. These long-term trends are likely the result of significant fossil fuel derived CO2 in surface DIC from air-sea gas exchange. Seasonally, Δ14C values varied by 3.4‰ between 2011 and 2022, where seasonal δ13C values varied by 0.7‰. The seasonal variation in Δ14C values is likely driven by variations in upwelling, surface eddies, and mixed layer depth. The variation in δ13C values appears to be driven by isotopic fractionation from marine primary producers. The DIC δ13C and Δ14C values record the influence of the drought that began in 2012, and a major upwelling event in 2016.
Prevalence of anti-SARS-CoV-2 antibodies in people attending the two main Goma markets in the eastern Democratic Republic of the Congo
Authors: Mitangala Prudence Ndeba , Irenge Leonid M. , Musubao Edgar Tsongo , Kahindo Jean Bosco Mbeva , Ayonga Patrick Ndeba , Kyembwa Safari Israël , Kubuya Janvier Bonane , Ntabe Edmon Namegabe , Kabangwa Senga Raphaël Kakongo , Mutombo Guy Ndongala , Ambroise Jérôme , Gala Jean-Luc
Published: September 2023

The Democratic Republic of the Congo (DRC) officially reports low coronavirus disease 19 (COVID-19) prevalence. This cross-sectional study, conducted between September and November 2021, assessed the COVID-19 seroprevalence in people attending Goma’s two largest markets, Kituku and Virunga. A similar study in a slum of Bukavu overlapped for 1 month using identical methods. COVID-19-unvaccinated participants (n = 796 including 454 vendors and 342 customers, 60% of whom were women) were surveyed. The median age of vendors and customers was 34.2 and 30.1 years, respectively. The crude and adjusted anti-SARS-CoV-2 antibody seroprevalence rates were 70.2% (95% CI 66.9–73.4%) and 98.8% (95% CI 94.1–100%), respectively, with no difference between vendors and customers. COVID-19 symptoms reported by survey participants in the previous 6 months were mild or absent in 58.9% and 41.1% of participants with anti-SARS-CoV-2 antibodies, respectively. No COVID-19-seropositive participants reported hospitalisation in the last 6 months. These findings are consistent with those reported in Bukavu. They confirm that SARS-CoV-2 spread without causing severe symptoms in densely populated settlements and markets and suggest that many COVID-19 cases went unreported. Based on these results, the relevance of an untargeted hypothetical vaccination programme in these communities should be questioned.
AN EXPLICIT MEAN-VALUE ESTIMATE FOR THE PRIME NUMBER THEOREM IN INTERVALS
Authors: CULLY-HUGILL MICHAELA , DUDEK ADRIAN W.
Published: September 2023

This paper gives an explicit version of Selberg’s mean-value estimate for the prime number theorem in intervals, assuming the Riemann hypothesis [25]. Two applications are given to short-interval results for primes and for Goldbach numbers. Under the Riemann hypothesis, we show there exists a prime in
$(y,y+32\,277\log ^2 y]$
for at least half the
$y\in [x,2x]$
for all
$x\geq 2$
, and at least one Goldbach number in
$(x,x+9696 \log ^2 x]$
for all
$x\geq 2$
.
Seasonal Snowpack Microbial Ecology and Biogeochemistry on a High Arctic Ice Cap Reveals Negligible Autotrophic Activity During Spring and Summer Melt
Authors: Dayal A. , Hodson A. J. , Šabacká M. , Smalley A. L.
Published: September 2023

Snowpack ecosystem studies are primarily derived from research on snow‐on‐soil ecosystems. Greater research attention needs to be directed to the study of glacial snow covers as most snow cover lies on glaciers and ice sheets. With rising temperatures, snowpacks are getting wetter, which can potentially give rise to biologically productive snowpacks. The present study set out to determine the linkage between the thermal evolution of a snowpack and the seasonal microbial ecology of snow. We present the first comprehensive study of the seasonal microbial activity and biogeochemistry within a melting glacial snowpack on a High Arctic ice cap, Foxfonna, in Svalbard. Nutrients from winter atmospheric bulk deposition were supplemented by dust fertilization and weathering processes. NH4+ and PO43− resources in the snow therefore reached their highest values during late June and early July, at 22 and 13.9 mg m−2, respectively. However, primary production did not respond to this nutrient resource due to an absence of autotrophs in the snowpack. The average autotrophic abundance on the ice cap throughout the melt season was 0.5 ± 2.7 cells mL−1. Instead, the microbial cell abundance was dominated by bacterial cells that increased from an average of (39 ± 19 cells mL−1) in June to (363 ± 595 cells mL−1) in early July. Thus, the total seasonal biological production on Foxfonna was estimated at 153 mg C m−2, and the glacial snowpack microbial ecosystem was identified as net‐heterotrophic. This work presents a seasonal “album” documenting the bacterial ecology of glacial snowpacks.