bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantum Mechanics Based on an Extended Least Action Principle and Information Metrics of Vacuum Fluctuations
Authors: Yang Jianhao M.
Published: May 2024

We show that the formulations of non-relativistic quantum mechanics can be derived from an extended least action principle. The principle can be considered as an extension of the least action principle from classical mechanics by factoring in two assumptions. First, the Planck constant defines the minimal amount of action a physical system needs to exhibit during its dynamics in order to be observable. Second, there is constant vacuum fluctuation along a classical trajectory. A novel method is introduced to define the information metrics to measure additional observability due to vacuum fluctuations, which is then converted to an additional action through the first assumption. Applying the variational principle to minimize the total actions allows us to recover the basic quantum formulations including the uncertainty relation and the Schrödinger equation in the position representation. In the momentum representation, the same method can be applied to obtain the Schrödinger equation for a free particle while further investigation is still needed for a particle with an external potential. Furthermore, the principle brings in new results on two fronts. At the conceptual level, we find that the information metrics for vacuum fluctuations are responsible for the origin of the Bohm quantum potential. Even though the Bohm potential for a bipartite system is inseparable, the underlying vacuum fluctuations are local. Thus, inseparability of the Bohm potential does not justify a non-local causal relation between the two subsystems. At the mathematical level, quantifying the information metrics for vacuum fluctuations using more general definitions of relative entropy results in a generalized Schrödinger equation that depends on the order of relative entropy. The extended least action principle is a new mathematical tool. It can be applied to derive other quantum formalisms such as quantum scalar field theory.
GraphTango: A Hybrid Representation Format for Efficient Streaming Graph Updates and Analysis
Authors: Ahmed Alif , Siddique Farzana Ahmed , Skadron Kevin
Published: May 2024

Streaming graph processing performs batched updates and analytics on a time-evolving graph. The underlying representation format of the graph largely determines the throughputs of these updates and analytics phases. Existing representation formats usually employ variations of hash tables or adjacency lists. However, a recent study showed that the adjacency-list-based approaches perform poorly on heavy-tailed graphs, and the hash table-based approaches suffer on short-tailed graphs. We propose GraphTango, a hybrid representation format that provides excellent update and analytics throughput regardless of the graph’s degree distribution. GraphTango dynamically switches among three different formats based on a vertex’s degree: (i) Low-degree vertices store the edges directly with the neighborhood metadata, confining accesses to a single cache line, (2) Medium-degree vertices use adjacency lists, and (3) High-degree vertices use hash tables as well as adjacency lists. In this case, the adjacency list provides fast traversal during the analytics phase, while the hash table provides constant-time lookups during the update phase. We further optimized the performance by designing an open-addressing-based hash table that fully utilizes every fetched cache line. In addition, we developed a thread-local lock-free memory pool that allows fast growing/shrinking of the adjacency lists and hash tables in a multi-threaded environment. We evaluated GraphTango with the help of the SAGA-Bench framework and compared it with four other representation formats: Stinger, Degree-aware Robin Hood Hashing, and two adjacency list-based formats with different workload balancing scheme. On average, GraphTango provides 4.5x higher insertion throughput, 3.2x higher deletion throughput, and 1.1x higher analytics throughput over the next best format. Furthermore, we integrated GraphTango with the state-of-the-art graph processing frameworks DZiG and RisGraph. Compared to the vanilla DZiG and vanilla RisGraph, [GraphTango + DZiG] and [GraphTango + RisGraph] reduces the average batch processing time by 2.3x and 1.5x, respectively.
Application of the tight-binding method onto the Von Neumann equation
Authors: Abdi Alan , Schulz Dirk
Published: May 2024

This paper presents a numerical framework for the analysis of quantum devices based on the Von Neumann (VN) equation, which involves the concept of the Tight-Binding Method (TBM). The model is based on the application of the Tight-Binding Hamiltonian within Quantum Liouville Type Equations and has the advantage that the atomic structure of the materials used is taken into account. Furthermore, the influence of a Complex Absorbing Potential (CAP) as a complementary boundary condition and its essential contribution to the system stability with respect to the eigenvalue spectrum is discussed.
Omitting transesophageal echocardiography before catheter ablation of atrial fibrillation
Authors: Maslova Vera , Demming Thomas , Pantlik Robert , Geczy Tamas , Falk Peter , Remppis Bjoern Andrew , Frank Derk , Lian Evgeny
Published: May 2024

Background

Data about necessity of performing transesophageal echocardiography (TOE) prior to every catheter ablation (CA) of atrial fibrillation (AF) is scarce. We aimed to evaluate the safety of an individualized risk-based approach to TOE with respect to thromboembolic cerebrovascular events (CVE) in patients undergoing CA for AF or left atrial tachycardia (AT).

Methods

We performed a retrospective clinical study based on our institutional registry database. Patients undergoing CA for AF or left-sided AT following initial AF ablation at two participating centers were enrolled. Prior to the procedure, patients were scheduled for TOE only if they had a history of thromboembolic stroke, left atrial appendage (LAA) thrombus, or inappropriate anticoagulation regimen in the previous 3 to 4 weeks. The incidence of periprocedural cerebrovascular thromboembolic events was assessed.

Results

We analyzed 1155 patients (median age 70 years, 54.8% male, 48.1% had persistent AF/AT). In 261 patients, a TOE was performed; in 2 patients (0.7%), an LAA thrombus was detected, which led to cancellation of the catheter ablation; in 894 patients, the TOE was omitted. Of the 1153 (0.35%) patients who underwent ablation, 4 (0.35%) experienced a CVE (one TIA and three strokes). The rate of CVE in our study does not exceed that reported in most multicenter trials. The low event rates limited statistical analysis of possible risk factors for CVE. In all 4 patients with CVE, post-CVE imaging showed the absence of LAA thrombus.

Conclusions

An individualized selective approach to TOE before catheter ablation of AF or left AT showed a very low risk of overt intraprocedural thromboembolic events for the population in our study. A further randomized controlled study is needed to determine whether TOE prior to catheter ablation without ICE could be omitted in patients with uninterrupted OAC without previous thromboembolic events or a history of left atrial thrombus.
Variation in Pesticide Toxicity in the Western Honey Bee (Apis mellifera) Associated with Consuming Phytochemically Different Monofloral Honeys
Authors: Liao Ling-Hsiu , Wu Wen-Yen , Berenbaum May R.
Published: May 2024

Insecticide toxicity to insect herbivores has long been known to vary across different host plants; this phenomenon has been widely documented in both foliage-feeders and sap-feeders. Species-specific phytochemical content of hostplant tissues is assumed to determine the pattern of induction of insect enzymes that detoxify insecticides, but specific phytochemicals have rarely been linked to host plant-associated variation in pesticide toxicity. Moreover, no studies to date have examined the effects of nectar source identity and phytochemical composition on the toxicity of insecticides to pollinators. In this study, we compared LD50 values for the insecticide bifenthrin, a frequent contaminant of nectar and pollen in agroecosystems, in the western honey bee, Apis mellifera, consuming three phytochemically different monofloral honeys: Nyssa ogeche (tupelo), Robinia pseudoacacia (black locust), and Fagopyrum esculentum (buckwheat). We found that bifenthrin toxicity (LD50) values for honey bees across different honey diets is linked to their species-specific phytochemical content. The profiles of phenolic acids and flavonoids of buckwheat and locust honeys are richer than is the profile of tupelo honey, with buckwheat honey containing the highest total content of phytochemicals and associated with the highest bifenthrin LD50 in honey bees. The vector fitting in the ordination analysis revealed positive correlations between LD50 values and two honey phytochemical richness estimates, Chao1 and Abundance-based Coverage Estimator (ACE). These findings suggest unequal effects among different phytochemicals, consistent with the interpretation that certain compounds, including ones that are rare, may have a more pronounced effect in mitigating pesticide toxicity.
Methods for investigating STAT3 regulation of lysosomal function in mammary epithelial cells
Authors: Lloyd-Lewis Bethan , D’Angelo Michael E. , Prowting Neve B. , Wiseman Bethan E. , Sargeant Timothy J. , Watson Christine J.
Published: May 2024

The transcription factor STAT3 is activated by multiple cytokines and other extrinsic factors. It plays a key role in immune and inflammatory responses and, when dysregulated, in tumourigenesis. STAT3 is also an indispensable mediator of the cell death process that occurs during post-lactational regression of the mammary gland, one of the most dramatic examples of physiological cell death in adult mammals. During this involution of the gland, STAT3 powerfully enhances the lysosomal system to efficiently remove superfluous milk-producing mammary epithelial cells via a lysosomal-mediated programmed cell death pathway. The lysosome is a membrane-enclosed  cytoplasmic organelle that digests and recycles cellular waste, with an important role as a signalling centre that monitors cellular metabolism. Here, we describe key strategies for investigating the role of STAT3 in regulating lysosomal function using a mammary epithelial cell culture model system. These include protocols for lysosome enrichment and enzyme activity assays, in addition to microscopic analyses of the vesicular compartment in cell lines. Collectively, these approaches provide the tools to investigate multiple aspects of lysosome biogenesis and function, and to define both direct and indirect roles for STAT3.
X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions
Authors: Mori Tomoki , Ohtake Yutaka , Yatagawa Tatsuya , Kido Kazuhiro , Tsuboi Yasunori
Published: May 2024

The X-ray Talbot–Lau interferometer (TLI) has been introduced as a device to measure the X-ray interference using an ordinary X-ray source rather than coherent X-ray sources. For nondestructive testing, the advantage of TLI is its capability to obtain darkfield images, where fibers in fiber-reinforced plastics can be distinguished from the matrix. From darkfield images, 3D tomographic reconstruction techniques have been investigated to visualize the distribution of fiber orientations. However, previous approaches assume that X-ray scattering occurs only along the predefined scattering directions that are shared within the entire volume of a test sample. In contrast, a novel technique that we introduce in this paper optimizes the predominant scattering directions independently at each voxel location. The proposed method employs an alternating optimization scheme, where it first calculates the scattering intensities along the scattering directions and then updates these scattering directions, accordingly. Owing to this alternative optimization scheme, our method demonstrates promising performance, particularly when the predominant scattering directions are indeterminate. This advantage of our proposed technique is validated with the sample made of carbon fiber-reinforced plastic (CFRP) and glass fiber-reinforced plastic (GFRP). For these samples, reference fiber orientations are determined in advance using micro-focus CT scanning. To our knowledge, we are the first to optimize both the scattering intensity and scattering directions in reconstructing fiber orientations in industrial-purpose darkfield tomography. The findings presented in this paper potentially contribute to advancing applications in industrial nondestructive testing.
A device for rapid calorimetric measurements on small biological tissue samples
Authors: Lerchner Johannes , Hervas Livia S. , Bícego Kenia C. , Garcia Geovana S. , Oliveira Marcos T. , Hasic Mersiha , Klingenspor Martin , Mertens Florian
Published: May 2024

A new calorimetric technique is described that allows high-throughput heat production rate measurements on small biological tissue samples. The technique is based on the widely used thermopile chip technology combined with an innovative method for precise transport and positioning of samples of different biological materials at the thermal power detector inside the calorimeter. The new transport and positioning technique is a combination of fluidic and mechanical transport, where the latter is realized by a magneto-motor drive. The transport facility ensures good diffusive oxygen penetration into the sample, which is essential for highly metabolically active materials. The proper functioning of the device is demonstrated by measuring the heat production of metabolically active brown adipose tissue, biopsied tegu lizard muscle, and live Drosophila larvae at different stages and temperatures.
Pain and temporality: a merleau-pontyian approach
Authors: Wagner Judith N
Published: May 2024

Chronic pain is a common disorder with enormous sociomedical importance. A major part of primary and secondary costs of illness is caused by the various pain syndromes. Nociception – the sensory perception of a painful stimulus – is a complex process relying on an intricate system of anatomical, neurophysiological and biochemical networks. This applies even more so to pain – the state of experiencing a nociceptive event, of interpreting it in terms of meaning for the affected individual and of suffering a range of emotions it elicits. This intricacy renders it obvious, that the empirical medical sciences alone cannot explain all aspects of pain. Hence, it has also become a focus of phenomenological research. One aspect of these investigations is the interaction of pain and the perception of the lived body’s spatiality. The focus of this article will build on these concepts to develop a construct of the alteration of temporality caused by chronic pain and the effects this spells out for the affected subject. To this end, I will primarily draw on Merleau-Ponty’s ideas of the lived body as well as on theories of enactivism and embodiment. I will also point out parallels to neuroscientific data, thereby demonstrating the proximity of phenomenology and neuroscience. A possible partial solution to the pain dilemma may be derived from psychology: techniques relying on cognitive behavioural intervention, awareness training, and existential analysis may provide alleviation to patients suffering from chronic pain.
Reflective Artificial Intelligence
Authors: Lewis Peter R. , Sarkadi Ştefan
Published: May 2024

As artificial intelligence (AI) technology advances, we increasingly delegate mental tasks to machines. However, today’s AI systems usually do these tasks with an unusual imbalance of insight and understanding: new, deeper insights are present, yet many important qualities that a human mind would have previously brought to the activity are utterly absent. Therefore, it is crucial to ask which features of minds have we replicated, which are missing, and if that matters. One core feature that humans bring to tasks, when dealing with the ambiguity, emergent knowledge, and social context presented by the world, is reflection. Yet this capability is completely missing from current mainstream AI. In this paper we ask what reflective AI might look like. Then, drawing on notions of reflection in complex systems, cognitive science, and agents, we sketch an architecture for reflective AI agents, and highlight ways forward.
Fabrication, characterization, spectroscopic, and magnetic properties of polyaniline/magnetite (PANi/Fe3O4) nanocomposites
Authors: Elashmawi I. S. , Alhusaiki-Alghamdi H. M.
Published: May 2024

In this research, pure polyaniline (PANi), pure magnetite (Fe3O4), and then PANi/ Fe3O4 nanocomposites were prepared and characterized. FT-IR spectra of the prepared samples indicate successful polymerization of PANi onto Fe3O4. PANi/Fe3O4 nanocomposites exhibit broad absorption bands at specific wavenumbers, indicating the presence of various functional groups. The observed blue shift in certain peaks suggests the interaction between nitrogen atoms and oxygen atoms on the magnetite surface through hydrogen bonding. The intensity and wavenumber of the Fe3O4 band decrease, indicating weakened Fe–O bonds. These findings demonstrate a strong interaction and combination between PANi and Fe3O4 in the nanocomposites. Fe3O4 nanoparticles exhibit a regular spherical shape with an average diameter of 16 nm. However, they also show non-uniform size distribution due to aggregation into larger secondary particles, likely driven by attractive forces. PANi/Fe3O4 core-shell nanocomposites demonstrate clear morphological changes, with Fe3O4 nanoparticles well spread and wrapped by the PANi shell. The electron diffraction technique confirms the crystalline structure of Fe3O4 nanoparticles, showing diffraction rings consistent with magnetite. The results confirm the potential of incorporating magnetic Fe3O4 nanoparticles to impart magnetic functionality in the resulting PANi-based nanocomposite materials. Magnetic saturation measurements displayed an enhancement in magnetization with increasing Fe3O4 nanoparticles. The change in magnetic behavior for doped samples provides a means of tuning the magnetization strength of the composites to meet the application requirement such as data storage and magnetic sensors.
Analysis of Test Specimen Temperature Gradients Incurred in Resistive Heating System Oxidation Studies of Ultra-High Temperature Ceramics
Authors: Backman Lavina , Graham Kyle , Dion Michael , Opila Elizabeth J.
Published: May 2024

The need for advanced materials that can meet application requirements at ultra-high temperatures in oxidizing environments is an area of active research. One challenge facing the high temperature materials community is the ability to conduct controlled ultra-high temperature oxidation tests with minimal to no contamination or reaction with the chamber. A unique resistive heating system (RHS) capable of achieving ultra-high temperatures (> 1700 °C) to enable such experimentation is described. A concern of such a system is the potential presence of thermal gradients in directions not reflective of actual material applications, e.g., the hottest region being in the center of the sample. Experimental results from the oxidation of ZrB2 specimens at nominal temperatures of 1500°, 1700° and 1800 °C in low pO2 (0.1–1% O2 in Ar) environments are presented. Specimen thermal gradients generated during oxidation were evaluated using finite element analysis models. Thermal gradients on the order of the uncertainty in temperature measurements were calculated, confirming the RHS suitability for conducting ultra-high temperature oxidation exposures on ultra-high temperature ceramics.
Pituitary and COVID-19 vaccination: a systematic review
Authors: Verrienti Martina , Marino Picciola Valentino , Ambrosio Maria Rosaria , Zatelli Maria Chiara
Published: May 2024

Purpose

This systematic review aims to examine the latest research findings and assess the impact of COVID-19 vaccination on the pituitary gland.

Method

PubMed and Tripdatabase were searched from January 1st, 2020 to February 12th, 2024. Case reports, case series and reviews related to post COVID-19 vaccination pituitary disease were included. Eligible articles were tabulated and analysed in the attempt to provide an overview on the epidemiology, clinical presentation, imaging, treatment, outcomes and pathophysiological background of post COVID-19 vaccination pituitary disease.

Results

Among the 23 case reports included in this review, post COVID-19 vaccination hypophysitis was reported in 9 patients, pituitary apoplexy (PA) in 6 cases, SIADH in 5 cases and Isolated ACTH deficiency in 2 cases. Additionally, precipitating adrenal crisis was registered in 7 patients and pituitary tumor enlargement in 1 patient after receiving COVID-19 vaccination.

Conclusion

Despite the rarity of these events, our research findings suggest an association between COVID-19 vaccination and the subsequent development of pituitary diseases. The most common manifestations include hypophysitis with ADH deficiency, PA and SIADH, with symptoms typically emerging shortly after vaccine administration. Potential pathogenetic mechanisms include molecular mimicry, vaccine adjuvants and vaccine-induced thrombotic thrombocytopenia (VITT), with the presence of ACE2 receptors in the hypothalamus-pituitary system contributing to the process. These findings can aid in diagnostic and treatment decisions for patients presenting with these syndromes. Nevertheless, given the rarity of these events, safety and efficacy of the currently available COVID-19 vaccines remain robust and we strongly advocate continuing pursuing vaccination efforts.
Dealing with elemental toxicities in crops: hot topics and likely solutions
Authors: Liu Jiayou , Li Yalin , Xu Qian , Song Won-Yong , Yu Min , Shabala Sergey
Published: May 2024

Background

The widespread presence of arsenic (As) and cadmium (Cd) in agricultural soils coupled with a problem of Al phytotoxicity threatens sustainability of agricultural production system as well as natural ecosystems.

Scope 

Understanding the role of membrane transporters responsible for uptake, translocation, and sequestration of above metal(oid)s and the modes of their regulation may be critical to tackle the above issue. In this review, we summarize the current knowledge of membrane transporters mediating As, Cd and Al homeostasis in plants, highlighting unanswered questions and offering potential solutions. Amongst these, the following topics may deserve a special attention in future studies: (1) uncoupling transport of As and inorganic phosphorous in plant roots focusing on PHT1;1 transporters; (2) revealing the modes of their post-translational regulation, especially under hypoxic conditions; (3) better understanding of structure–function relations of various transporters isoforms for Cd, to uncouple transport of toxic Cd metals from that for essential micronutrients such as Fe, Zn or Mn; (4) revealing the role of non-selective cation channels (NSCC) in Cd uptake and revealing mechanisms of their regulation; (5) elucidate the role of various aquaporins in Al3+ uptake in plant roots; (6) understanding the role of slow vacuolar (SV) channels in Al sequestration in plant vacuoles; and (7) revealing the mechanistic basis of long-distant transport of toxic ions, with specific emphasis of phloem transport.

Conclusion

These multidisciplinary efforts strive to ensure global food safety by mitigating the impact of heavy metal pollution on agriculture and human well-being.
Genetic variation in Zea mays influences microbial nitrification and denitrification in conventional agroecosystems
Authors: Favela Alonso , Bohn Martin O. , Kent Angela D.
Published: May 2024

Background and Aims

Nitrogenous fertilizers provide a short-lived benefit to crops in agroecosystems, but stimulate nitrification and denitrification, processes that result in nitrate pollution, N2O production, and reduced soil fertility. Recent advances in plant microbiome science suggest that genetic variation in plants can modulate the composition and activity of rhizosphere N-cycling microorganisms. Here we attempted to determine whether genetic variation exists in Zea mays for the ability to influence the rhizosphere nitrifier and denitrifier microbiome under “real-world” conventional agricultural conditions.

Methods

To capture an extensive amount of genetic diversity within maize we grew and sampled the rhizosphere microbiome of a diversity panel of germplasm that included ex-PVP inbreds (Z. mays ssp. mays), ex-PVP hybrids (Z. mays ssp. mays), and teosinte (Z. mays ssp. mexicana and Z. mays ssp. parviglumis). From these samples, we characterized the microbiome, a suite of microbial genes involved in nitrification and denitrification and carried out N-cycling potential assays.

Results

Here we are showing that populations/genotypes of a single species can vary in their ecological interaction with denitrifers and nitrifers. Some hybrid and teosinte genotypes supported microbial communities with lower potential nitrification and potential denitrification activity in the rhizosphere, while inbred genotypes stimulated/did not inhibit these N-cycling activities. These potential differences translated to functional differences in N2O fluxes, with teosinte plots producing less GHG than maize plots.

Conclusion

Taken together, these results suggest that Zea genetic variation can lead to changes in N-cycling processes that result in N leaching and N2O production, and thereby are selectable targets for crop improvement. Understanding the underlying genetic variation contributing to belowground microbiome N-cycling into our conventional agricultural system could be useful for sustainability.
CID: a framework for the cognitive analysis of composite instructional designs
Authors: Loibl Katharina , Leuders Timo , Glogger-Frey Inga , Rummel Nikol
Published: May 2024

Instruction often spans multiple phases (e.g., phases of discovery learning, instructional explanations, practice) with different learning goals and different pedagogies. For any combination of multiple phases, we use the term composite instructional design (CID). To understand the mechanisms underlying composite instructional designs, we propose a framework that links three levels (knowledge, learning, instruction) across multiple phases: Its core element is the specification of learning mechanisms that explain how intermediate knowledge (i.e., the knowledge state between instructional phases) generated by the learning processes of one phase impacts the learning processes of a following phase. The CID framework serves as a basis for conducting research on composite instructional designs based on a cognitive analysis, which we exemplify by discussing existing research in light of the framework. We discuss how the CID framework supports understanding of the effects of composite instructional designs beyond the individual effects of the single phases through an analysis of effects on intermediate knowledge (i.e., the knowledge state resulting from a first instructional phase) and how it alters the learning processes initiated by the instructional design of a second phase. We also aim to illustrate how CID can help resolve contradictory findings of prior studies (e.g., studies that did or did not find beneficial effects of problem solving prior to instruction). Methodologically, we highlight the challenge of altering one learning mechanism at a time as experimental variations on the instructional design level often affect multiple learning processes across phases.
Cognitive complaints in patients with untreated obstructive sleep apnea versus patients with neurological and respiratory diseases: prevalence, severity and risk factors
Authors: Vaessen Tim , Mark Ruth E. , De Baene Wouter , Gehring Karin , Overeem Sebastiaan , Sitskoorn Margriet M.
Published: May 2024

Purpose

Little is known about cognitive complaints (self-reported problems in cognitive functioning) in patients with Obstructive Sleep Apnea (OSA). We compared the prevalence and severity of cognitive complaints in patients with untreated OSA to patients with neurological and respiratory diseases. We also studied risk factors for cognitive complaints across these diseases, including OSA.

Methods

We used a convenience sample to compare untreated OSA patients (N = 86) to patients with stroke (N = 166), primary brain tumor (N = 197) and chronic obstructive pulmonary disease (COPD, N = 204) on cognitive complaints (Cognitive Failure Questionnaire, CFQ), anxiety and depression (Hospital Anxiety and Depression Scale, HADS) and cognitive impairments using neuropsychological tests. We combined all patient groups (OSA, stroke, brain tumor and COPD) and studied potential risk factors (demographic variables, anxiety, depression and cognitive impairments) for cognitive complaints across all patient groups using regression analysis.

Results

The prevalence of cognitive complaints was higher in OSA patients and complaints of forgetfulness and distractibility were more severe compared to stroke and primary brain tumor patients, but similar to or lower than COPD patients. Regression analysis for the combined sample of all patient groups showed that cognitive complaints were most strongly associated with symptoms of anxiety and depression.

Conclusion

A high rate of OSA reported clinically significant cognitive complaints, comparable to other respiratory and neurological patients. Symptoms of anxiety and depression are important risk factors for cognitive complaints in patients with various neurological and respiratory diseases. Future studies should examine the relation between anxiety, depression and cognitive complaints in patients with OSA.
Quantification of age-related changes in the structure and mechanical function of skin with multiscale imaging
Authors: Woessner Alan E. , Witt Nathan J. , Jones Jake D. , Sander Edward A. , Quinn Kyle P.
Published: May 2024

The mechanical properties of skin change during aging but the relationships between structure and mechanical function remain poorly understood. Previous work has shown that young skin exhibits a substantial decrease in tissue volume, a large macro-scale Poisson’s ratio, and an increase in micro-scale collagen fiber alignment during mechanical stretch. In this study, label-free multiphoton microscopy was used to quantify how the microstructure and fiber kinematics of aged mouse skin affect its mechanical function. In an unloaded state, aged skin was found to have less collagen alignment and more non-enzymatic collagen fiber crosslinks. Skin samples were then loaded in uniaxial tension and aged skin exhibited a lower mechanical stiffness compared to young skin. Aged tissue also demonstrated less volume reduction and a lower macro-scale Poisson’s ratio at 10% uniaxial strain, but not at 20% strain. The magnitude of 3D fiber realignment in the direction of loading was not different between age groups, and the amount of realignment in young and aged skin was less than expected based on theoretical fiber kinematics affine to the local deformation. These findings provide key insights on how the collagen fiber microstructure changes with age, and how those changes affect the mechanical function of skin, findings which may help guide wound healing or anti-aging treatments.
Sometimes I still do not see myself as a computer scientist: Negotiating a computer science identity as a Latina undergraduate and youth mentor
Authors: Martinez-Campa Gislaine , Kier Meredith
Published: May 2024

This study puts forth the counternarrative of the first author Gislaine, a first-generation undergraduate student, Latina, and computer science major. Gislaine participated in a research internship and STEM mentorship program led by the second author, Meredith. Through this program, Gislaine designed and taught CS lessons to predominantly low-income, African-American middle school students over an 8-day urban summer school program. By analyzing Gislaine’s written account of her journey to CS, as well as planning documents and written reflections on her daily experiences mentoring youth, we explore how Gislaine’s intersecting social identities shape her experiences both as a CS learner and as a mentor to youth. Gislaine’s counternarrative illuminates the systems of oppression present in schools and the CS field, while also highlighting Gislaine’s transformative approaches to mentoring students in CS. Gislaine’s narratives emphasize the importance of humanizing CS and leveraging students’ strengths to promote equitable access to CS education. Through her experiences, she underscores the significance of recognizing and addressing systemic barriers, while also advocating for inclusive and empowering educational practices.
Fabrication and Properties of Bi2S3 Nanowire Thin Film Solar Cells by Spin Coating with Varying Sulfur Concentrations in the Precursor
Authors: Khadka Dev Bahadur , Islam M. A. , Kato Shinya , Soga Tetsuo
Published: May 2024

We conducted a simple solution-based method to fabricate Bi2S3 nanowire thin film solar cells by spin coating with varying sulfur-to-bismuth ratios. Spherical nanoparticles were observed in the thin film with low-concentration sulfur solution, with these nanoparticles gradually changing to nanorods. Finally, nanowires of Bi2S3 were observed in the thin film with a high sulfur concentration in solution. The band gap gradually decreased with the increase in sulfur concentration. The solar cell performance was significantly improved with the nanowire structure. During film fabrication, sulfur vacancy defects appeared primarily because of high annealing temperatures. These defects were somewhat reduced by the high concentration of sulfur in the solution, supported by the energy-dispersive x-ray spectroscopy (EDS) results. The elemental chemical composition of Bi2S3 material showed an increase in the sulfur-to-bismuth ratio, reaching saturation at almost 0.9. In this work, we systematically observed the effect on the optical properties, surface morphology, and photovoltaic properties by changing the concentration of sulfur in the precursor. The nanowire structure with a high concentration of sulfur in the solution is a promising way to improve the Bi2S3 thin film solar cell.
Emergence of cheese packaging by edible coatings for enhancing its shelf-life
Authors: El-Sayed Samah M. , Youssef Ahmed M.
Published: May 2024

Cheese is one of the most popular and extensively consumed dairy products. It comes in a variety of flavors, textures, shapes and is prone to infection and decomposition. Edible coatings as cheese packaging serve various key functions in the preservation and enhancement of cheese quality, including increasing shelf life, retaining texture, boosting sensory qualities, and lowering plastic waste and environmental impact. In recent decades, the development of edible coatings has witnessed tremendous growth, and it is projected to have a significant impact on the quality of cheese products in the next few years. Novel edible materials and processing methods are of great interest due to their intriguing potential as revolutionary cheese packaging systems. This review summarizes recent trends in adding edible coating to increase the quality and the shelf-life of cheese, plus the functional of edible coating and their application on cheese to reduce the plastic waste and environmental impact.
Exogenous dopamine mitigates the effects of salinity stress in tomato seedlings by alleviating the oxidative stress and regulating phytohormones
Authors: Yildirim Ertan , Ekinci Melek , Turan Metin , Yuce Merve , Ors Selda , Araz Oğuzhan , Torun Umit , Argin Sanem
Published: May 2024

Salt stress is a worldwide major threat to agricultural production. The aim was to investigate the effects of exogenous dopamine (DA) treatments on physiological, morphological and biochemical characteristics of tomato seedlings under salinity stress. Salt stress was created using a 100 mM NaCl solution. Dopamine solutions (0, 50, 100 and 200 µM) were applied with 7-day intervals. Salt stress significantly suppressed plant growth and DA treatments alleviated the negative effects of salt stress on the growth of tomato seedlings. 100 µM DA treatment increased plant and root dry weights, plant stem diameter, plant height and, leaf area by 286.84%, 150.00%, 108.37%, 160.89%, and 158.28%, respectively, compared to the control. Under salinity LRWC, SPAD, chl-a, chl-b, and total chlorophyll contents decreased; membrane permeability (MP), H2O2, MDA, proline and sucrose contents, CAT, POD and SOD activities increased. Under salt stress, when 100 µM DA was applied, LRWC, SPAD, chl-a, chl-b, and total chlorophyll contents of plants increased by 13.64%, 18.62%, 43.08%, 64.90%, and 50.00%, while MP reduced by 21.08% compared to the control. When 200 µM DA was applied under salt stress, H2O2, MDA, proline and sucrose contents, and CAT, POD and SOD activities were reduced by 31.86%, 18.66%, 56.00%, 38.24%, 11.16%, 17.81% and 10.80%, respectively, compared to non-DA-treated plants. Exogenous application of DA increased IAA content, decreased ABA content and increased ratio of K+/Na+ and Ca2+/Na+ under salt stress as well. In conclusion, exogenous dopamine treatments effectively prevent cellular damage in tomato seedlings and improve plant tolerance to salt stress.
Innovative Agrowaste Banana Peel Extract-Based Magnetic Iron Oxide Nanoparticles for Eco-Friendly Oxidative Shield and Freshness Fortification
Authors: Abdullah Johar Amin Ahmed , Lagos Silvia Nicole Pérez , Sanchez Emanuel Josué Estrada , Rivera-Flores Octavio , Sánchez-Barahona Marlon , Guerrero Antonio , Romero Alberto
Published: May 2024

This study presents the synthesis of agro-waste banana peel extract-based magnetic iron oxide nanoparticles (BPEx-MIONPs), emphasizing antioxidant capacity and food preservation. Using iron (III) chloride hexahydrate (FeCl3 · 6 H2O) as a precursor and a reducing agent from agro-waste peel extract, a precisely controlled process yielded BPEx-MIONPs. Characterization involved X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR). XRD revealed tetragonal Fe2O3, cubic magnetite structure, and monoclinic FexOy-NPs with an average size of 14.8 nm. TEM and SEM revealed diverse morphologies. TEM displayed both spherical and elongated nanoparticles, with some appearing as thin fibrils. In contrast, SEM images depicted an array primarily consisting of spherical nanoparticles, resembling coral reef formations. FTIR confirmed Fe–O bonds (1000 –400 cm-1). The antioxidant assessment showed robust DPPH free radical scavenging; BPEx achieved 100% inhibition at 18 min, and BPEx-MIONPs had an IC50 of ~ 136 µg/mL. BPEx-MIONPs, stabilized with banana-based bioplastic, effectively preserved grapes, reducing weight loss to 6.2% on day 3, compared to the control (19.0%). This pioneering study combines banana peel antioxidants with magnetic iron oxide nanoparticles, providing sustainable solutions for food preservation and nano-packaging. Ongoing research aims to refine conditions and explore broader applications of BPEx-MIONPs.

Graphical Abstract
Characterizing Spatial and Temporal Trends in Net Sediment Accumulation in Seagrass Meadows
Authors: Haviland Katherine A. , Howarth R. W. , Hayn M. , Giblin A. E.
Published: May 2024

Seagrass meadows are known as hot spots for carbon accumulation, but there is limited field data on the variability of sediment accumulation across time and space. We developed a method to assess spatial and temporal heterogeneity in net sediment accumulation in seagrass meadows using small, inexpensive samplers, allowing for over 200 unique measurements across multiple transects within our study site. Using this method, we assessed sediment accumulation across seagrass meadow edges, and in varying weather conditions. We found the greatest accumulation of sediment 5 m outside of seagrass meadow edges, with sediment accumulation rates averaging just under 100 g m−2 day−1, though rates were highly variable. Carbon accumulation from settled sediment was generally greater outside of seagrass meadow edges than within the bed, especially at sites undergoing recent expansion. Measurements made during tropical storms showed both scouring of sediment away from sites, and increased accumulation, depending on site properties as well as individual tropical storm characteristics. In the storm that had a measurable storm surge, scouring of sediment was a more dominant mechanism, whereas deposition dominated in the storm that had high winds but no associated storm surge. Our data demonstrate the necessity of including measurements that characterize both spatial and meteorological variability to develop a more holistic understanding of the movement of sediment and particulate organic carbon associated with seagrass meadows, especially as meadow area becomes increasingly fragmented with human activity and global change.
An Update on the Adult-Onset Hereditary Cerebellar Ataxias: Novel Genetic Causes and New Diagnostic Approaches
Authors: Rudaks Laura Ivete , Yeow Dennis , Ng Karl , Deveson Ira W. , Kennerson Marina L. , Kumar Kishore Raj
Published: May 2024

The hereditary cerebellar ataxias (HCAs) are rare, progressive neurologic disorders caused by variants in many different genes. Inheritance may follow autosomal dominant, autosomal recessive, X-linked or mitochondrial patterns. The list of genes associated with adult-onset cerebellar ataxia is continuously growing, with several new genes discovered in the last few years. This includes short-tandem repeat (STR) expansions in RFC1, causing cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS), FGF14-GAA causing spinocerebellar ataxia type 27B (SCA27B), and THAP11. In addition, the genetic basis for SCA4, has recently been identified as a STR expansion in ZFHX3. Given the large and growing number of genes, and different gene variant types, the approach to diagnostic testing for adult-onset HCA can be complex. Testing methods include targeted evaluation of STR expansions (e.g. SCAs, Friedreich ataxia, fragile X-associated tremor/ataxia syndrome, dentatorubral-pallidoluysian atrophy), next generation sequencing for conventional variants, which may include targeted gene panels, whole exome, or whole genome sequencing, followed by various potential additional tests. This review proposes a diagnostic approach for clinical testing, highlights the challenges with current testing technologies, and discusses future advances which may overcome these limitations. Implementing long-read sequencing has the potential to transform the diagnostic approach in HCA, with the overall aim to improve the diagnostic yield.
A life course perspective: women’s childhood background and family formation trajectories in low-fertility South Korea
Authors: Tan Jolene , Yu Shao-Tzu
Published: May 2024

Despite increasing interest in understanding fertility from a life course perspective, few studies have examined family formation pathways through a holistic lens. Using women’s birth history and individual-level data from the Korean Longitudinal Survey of Women and Families, we conducted sequence analysis to gain a comprehensive picture of family formation trajectories across time. We identified six clusters representing a gradient from late/low to early/high rates of marriage and fertility. Growing up with parents of higher socioeconomic status and a smaller family size showed links to pathways that delays and declines in marriage and fertility characterised. On the other hand, being born in a non-metropolitan area related to earlier family formation. The findings support the idea that considering life course circumstances and context could enhance our understanding of marriage and fertility trends. Specifically, intergenerational influences, interdependencies between the timing and sequence of transitions and the endogeneity of multiple life trajectories are important to consider.
Neumann eigenvalues of elliptic operators in Sobolev extension domains
Authors: Gol’dshtein Vladimir , Pchelintsev Valerii , Ukhlov Alexander
Published: May 2024

We obtain estimates of Neumann eigenvalues of the divergence form elliptic operators in Sobolev extension domains. The suggested approach is based on connections between divergence form elliptic operators and quasiconformal mappings. The connection between Neumann eigenvalues of elliptic operators and the smallest-circle problem (initially suggested by J. J. Sylvester in 1857) is given.
Ultra-Processed Food Addiction: A Research Update
Authors: LaFata Erica M. , Allison Kelly C. , Audrain-McGovern Janet , Forman Evan M.
Published: May 2024

Purpose of Review

Detail recent advancements in the science on ultra-processed food (UPF) addiction, focusing on estimated prevalence rates and emerging health disparities; progress towards identifying biological underpinnings and behavioral mechanisms; and implications for weight management.

Recent Findings

Notable developments in the field have included: (1) estimating the global prevalence of UPF addiction at 14% of adults and 15% of youths; (2) revealing health disparities for persons of color and those with food insecurity; (3) observing altered functioning across the brain-gut-microbiome axis; (4) providing early evidence for UPF withdrawal; and (5) elucidating poorer weight management outcomes among persons with UPF addiction.

The breadth of recent work on UPF addiction illustrates continued scientific and public interest in the construct and its implications for understanding and treating overeating behaviors and obesity. One pressing gap is the lack of targeted interventions for UPF addiction, which may result in more optimal clinical outcomes for this underserved population.
Characterisation of Sleep Problems in Angelman Syndrome: A Systematic Review
Authors: O’Rourke Nakita , Haverty Ross , Mannion Arlene , Whelan Sally , Leader Geraldine
Published: May 2024

Studies have reported high prevalence rates of sleep problems in Angelman Syndrome (AS), relating to abnormal sleep–wake cycles and reduced sleep duration. This systematic review aimed to characterise sleep problems in AS, investigate how they are assessed and identify the treatments/interventions prescribed. A systematic search of PsycINFO, PubMed and Psychology & Behavioral Sciences Collection was conducted using pre-determined search terms. Relevant studies published between 2016 and mid-2020 were included to expand on earlier reviews. Seven articles quantifying sleep problems, assessment and treatment/intervention in children and adults with AS were reviewed (N = 266). Findings demonstrated reduced total sleep duration (M = 538 min), longer night-awakenings (M = 67 min) and reduced sleep efficiency (78%) in AS compared with typically developing peers. Medication was highly prescribed historically/currently (n = 176, 66.2%). This review highlights the clinically significant presence of sleep problems with the majority of individuals requiring medical intervention. Decreased sleep duration, sleep efficiency and increased night-awakenings represent the most significant sleep problems across studies. Findings suggest sleep problems begin in infancy but improve in adulthood. This finding should be considered with caution as only two studies included an adult sample. Priorities for future research should focus on longitudinal studies to determine whether sleep problems improve with age in AS.
When ‘Best’ Practice Isn’t…
Authors: Finn Gabrielle M. , Brown Megan E. L.
Published: May 2024

Best, is to be ‘of the highest quality, or being the most suitable, pleasing, or effective type of thing or person’. Within medical education, 'best-ness' is evident within best practice guides and recommendations, and within research, where best evidence influences design and conduct. Yet, much of the evidence of best-ness fails to consider best for who and where, what, and when. Thinking needs reframing, given that “best-ness” and medical education are such good bedfellows, but it is critical that we recognise the impact and influence of context — that practice can be good, but cannot be universally and unflinchingly best.