bluuebunny/crossref_metadata_2025 huggingface dataset:
The Chvátal–Gomory procedure for integer SDPs with applications in combinatorial optimization
Authors: de Meijer Frank , Sotirov Renata
Published: March 2024

In this paper we study the well-known Chvátal–Gomory (CG) procedure for the class of integer semidefinite programs (ISDPs). We prove several results regarding the hierarchy of relaxations obtained by iterating this procedure. We also study different formulations of the elementary closure of spectrahedra. A polyhedral description of the elementary closure for a specific type of spectrahedra is derived by exploiting total dual integrality for SDPs. Moreover, we show how to exploit (strengthened) CG cuts in a branch-and-cut framework for ISDPs. Different from existing algorithms in the literature, the separation routine in our approach exploits both the semidefinite and the integrality constraints. We provide separation routines for several common classes of binary SDPs resulting from combinatorial optimization problems. In the second part of the paper we present a comprehensive application of our approach to the quadratic traveling salesman problem (QTSP). Based on the algebraic connectivity of the directed Hamiltonian cycle, two ISDPs that model the QTSP are introduced. We show that the CG cuts resulting from these formulations contain several well-known families of cutting planes. Numerical results illustrate the practical strength of the CG cuts in our branch-and-cut algorithm, which outperforms alternative ISDP solvers and is able to solve large QTSP instances to optimality.
Two decades of accelerated deforestation in Peruvian forests: a national and regional analysis (2000–2020)
Authors: Móstiga Maricel , Armenteras Dolors , Vayreda Jordi , Retana Javier
Published: March 2024

The global tree cover has kept reducing in the last two decades, mainly in tropical forests, despite the global efforts to conserve biodiversity and the ecosystem services that provides. Considering South America is the region that had the highest rate of net forest loss (2000–2020), it is crucial to understand the deforestation dynamics of each country and their regions for the evaluation of effective national conservation actions. Here, we carried out a spatiotemporal analysis of the deforestation rates from 2000 to 2020 on a national and regional scale, including the forest loss inside protected areas, in Peru. It was found that Peru lost 3.4 million ha of forest between 2000 and 2020, mainly in the Not Flooded Rainforest region. National deforestation rates accelerated, while within protected areas rates showed a very small increase. Regional deforestation rates followed the national pattern with one exception—the Coast region. Our results evidence the success of the national conservation strategy based on protected areas to avoid deforestation in all regions, except in the Andean. Moreover, the increment in deforestation rates is aligned with the growth in road infrastructure; increments in anthropic activities; and the more frequent and intense natural extreme events that vary according to the region. Therefore, it is urgent to differentiate the drivers of deforestation that operate at the national versus the regional scale, consider the inclusion of all forest types in the monitoring system, and the strengthening of policies related to land use change at all scales.
By-degree Health and Economic Impacts of Lyme Disease, Eastern and Midwestern United States
Authors: Yang Haisheng , Gould Caitlin A. , Jones Russ , St. Juliana Alexis , Sarofim Marcus , Rissing Matt , Hahn Micah B.
Published: March 2024

Lyme disease (LD) is the most common vector-borne disease in the United States (U.S.). This paper assesses how climate change may influence LD incidence in the eastern and upper Midwestern U.S. and the associated economic burden. We estimated future Ixodes scapularis habitat suitability and LD incidence with a by-degree approach using variables from an ensemble of multiple climate models. We then applied estimates for present-day and projected habitat suitability for I. scapularis, present-day presence of Borrelia burgdorferi, and projected climatological variables to model reported LD incidence at the county level among adults, children, and the total population. Finally, we applied an estimate of healthcare expenses to project economic impacts. We show an overall increase in LD cases with regional variation. We estimate an increase in incidence in New England and the upper Midwestern U.S. and a concurrent decrease in incidence in Virginia and North Carolina. At 3°C of national warming from the 1986–2015 baseline climate, we project approximately 55,000 LD cases, a 38-percent increase from present-day estimates. At 6°C of warming, our most extreme scenario, we project approximately 92,000 LD cases in the region, an increase of 145 percent relative to current levels. Annual LD-related healthcare expenses at 3°C of warming are estimated to be $236 million (2021 dollars), approximately 38 percent greater than present-day. These results may inform decision-makers tasked with addressing climate risks, the public, and healthcare professionals preparing for treatment and prevention of LD.
Unraveling the mysteries of AI chatbots
Authors: Bridgelall Raj
Published: March 2024

This primer provides an overview of the rapidly evolving field of generative artificial intelligence, specifically focusing on large language models like ChatGPT (OpenAI) and Bard (Google). Large language models have demonstrated unprecedented capabilities in responding to natural language prompts. The aim of this primer is to demystify the underlying theory and architecture of large language models, providing intuitive explanations for a broader audience. Learners seeking to gain insight into the technical underpinnings of large language models must sift through rapidly growing and fragmented literature on the topic. This primer brings all the main concepts into a single digestible document. Topics covered include text tokenization, vocabulary construction, token embedding, context embedding with attention mechanisms, artificial neural networks, and objective functions in model training. The primer also explores state-of-the-art methods in training large language models to generalize on specific applications and to align with human intentions. Finally, an introduction to the concept of prompt engineering highlights the importance of effective human-machine interaction through natural language in harnessing the full potential of artificial intelligence chatbots. This comprehensive yet accessible primer will benefit students and researchers seeking foundational knowledge and a deeper understanding of the inner workings of existing and emerging artificial intelligence models. The author hopes that the primer will encourage further responsible innovation and informed discussions about these increasingly powerful tools.
Ductility demands for stiffness-degrading SDOF systems under pulse-like ground motions of the 2023 Pazarcık (Kahramanmaraş) earthquake
Authors: Ucar Taner , Merter Onur
Published: March 2024

This paper investigates the inelastic displacement ratios (IDRs) and displacement ductility demands of a wide range of single-degree-of-freedom (SDOF) systems subjected to pulse-like ground motions (GMs) of the 2023 Pazarcık (Kahramanmaraş) earthquake. A set of twenty-seven GMs characterized as pulse-like are utilized in the study. As-recorded velocity time histories of horizontal components are rotated over 90° at a step of 1° to attain the waveform with the largest peak ground velocity (PGV) over all horizontal orientations. Inelastic displacement ratio and displacement ductility spectra are computed through nonlinear response history analysis (RHA). Local amplifications of both spectra are observed at some periods. The results of this study show that large inelastic displacement and ductility demands are imposed on certain reinforced concrete (RC) structures. Finally, predictive models of the mean inelastic displacement ratio and mean ductility demand spectra (DDS) are developed based on the Gauss–Newton algorithm (GNA). The model provides a strong correlation between the computed and the estimated data, and sufficient convergence criteria. The results of this study collectively emphasize the necessity of integrating pulse-like GMs into future revisions of earthquake codes.
Vegetation effects on radiation-induced natural convection in sloping water bodies
Authors: Prinos Panagiotis , Papaioannou Vassilios
Published: March 2024

In this work, vegetation effects on the characteristics of radiation-induced natural convection (isotherms, circulation patterns, exchange flow rate) in sloping water bodies are investigated numerically. The water body consists of (a) a sloping vegetated region (with a bottom slope equal to 0.1) and (b) a deep region with a horizontal bottom. The vegetation of porosity 0.85 (typical of aquatic plants found in lakes) has a length equal to the length of the sloping region. It can block (totally or partially) the radiation and as a result a non-uniform (differential) heating is developed along the free surface of the water body. The Volume-Averaged Navier–Stokes equations together with the Volume-Averaged Energy equation are solved numerically in the vegetated region. The radiation-induced natural convection in a water body with only a sloping region (with no vegetation) is also considered for validation purposes since numerical and scaling analysis results are available in literature. The results indicate significant vegetation effects on the thermal and flow patterns especially for vegetation which blocks completely surface heating.
Cascade screening in HBOC and Lynch syndrome: guidelines and procedures in a UK centre
Authors: Evans D. Gareth , Green Kate , Burghel George J. , Forde Claire , Lalloo Fiona , Schlecht Helene , Woodward Emma R.
Published: March 2024

In the 33 years since the first diagnostic cancer predisposition gene (CPG) tests in the Manchester Centre for Genomic Medicine, there has been substantial changes in the identification of index cases and cascade testing for at-risk family members. National guidelines in England and Wales are usually determined from the National Institute of healthcare Evidence and these have impacted on the thresholds for testing BRCA1/2 in Hereditary Breast Ovarian Cancer (HBOC) and in determining that all cases of colorectal and endometrial cancer should undergo screening for Lynch syndrome. Gaps for testing other CPGs relevant to HBOC have been filled by the UK Cancer Genetics Group and CanGene-CanVar project (web ref. https://www.cangene-canvaruk.org/). We present time trends (1990–2020) of identification of index cases with germline CPG variants and numbers of subsequent cascade tests, for BRCA1, BRCA2, and the Lynch genes (MLH1, MSH2, MSH6 and PMS2). For BRCA1/2 there was a definite increase in the proportion of index cases with ovarian cancer only and pre-symptomatic index tests both doubling from 16 to 32% and 3.2 to > 8% respectively. A mean of 1.73–1.74 additional family tests were generated for each BRCA1/2 index case within 2 years. Overall close to one positive cascade test was generated per index case resulting in > 1000 risk reducing surgery operations. In Lynch syndrome slightly more cascade tests were performed in the first two years potentially reflecting the increased actionability in males with 42.2% of pre-symptomatic tests in males compared to 25.8% in BRCA1/2 (p < 0.0001).
Rethinking connectivity modeling for high-mobility ungulates: insights from a globally endangered equid
Authors: Rezvani Azita , Hemami Mahmoud-Reza , Goheen Jacob R. , Kaczensky Petra , Pourmanafi Saeid , Fakheran Sima , Esmaeili Saeideh
Published: March 2024

Context

Maintaining connectivity is crucial for wildlife conservation in human-occupied landscapes. Structural connectivity modeling (SCM) attempts to quantify the degree to which physical features facilitate or impede movement of individuals and has been widely used to identify corridors, but its accuracy is rarely validated against empirical data.

Objectives

We evaluated SCM’s ability to identify suitable habitat and corridors for onagers (Equus hemionus onager) through a comparison with functional connectivity (i.e., actual movement of individuals) using satellite tracking data.

Methods

We used MaxEnt to predict suitable habitat and evaluated the ability of three SCM approaches: circuit theory, factorial least cost path, and landscape corridors approaches to identify corridors. The performance of the three SCM approaches was validated against independently collected GPS telemetry data.

Results

Onagers selected water sources and dense vegetation while avoiding areas grazed intensely by livestock. The three approaches to SCMs identified similar movement corridors, which were interrupted by roads, affecting major high-flow movement corridors. The SCMs overlapped with functional connectivity by about 21%.

Conclusion

Movement corridors derived from SCMs did not align with the locations or intensity of corridors identified using the functional connectivity model. This finding suggests that SCMs might have a tendency to overestimate landscape resistance in areas with low habitat suitability. Therefore, SCM may not adequately capture individual decisions about habitat selection and movement. To protect corridors linking suitable habitat, data on functional connectivity (i.e., telemetry data) can be coupled with SCM to better understand habitat selection and movements of populations as a consequence of landscape features.
Science with a Small Two-Band UV-Photometry Mission II: Observations of Stars and Stellar Systems
Authors: Krtička Jiří , Benáček Jan , Budaj Jan , Korčáková Daniela , Pál András , Piecka Martin , Zejda Miloslav , Bakış Volkan , Brož Miroslav , Chang Hsiang-Kuang , Faltová Nikola , Gális Rudolf , Jadlovský Daniel , Janík Jan , Kára Jan , Kolář Jakub , Krtičková Iva , Kubát Jiří , Kubátová Brankica , Kurfürst Petr , Labaj Matúš , Merc Jaroslav , Mikulášek Zdeněk , Münz Filip , Paunzen Ernst , Prišegen Michal , Ramezani Tahereh , Rievajová Tatiana , Řípa Jakub , Schmidtobreick Linda , Skarka Marek , Szász Gabriel , Weiss Werner , Zajaček Michal , Werner Norbert
Published: March 2024

We outline the impact of a small two-band UV-photometry satellite mission on the field of stellar physics, magnetospheres of stars, binaries, stellar clusters, interstellar matter, and exoplanets. On specific examples of different types of stars and stellar systems, we discuss particular requirements for such a satellite mission in terms of specific mission parameters such as bandpass, precision, cadence, and mission duration. We show that such a mission may provide crucial data not only for hot stars that emit most of their light in UV, but also for cool stars, where UV traces their activity. This is important, for instance, for exoplanetary studies, because the level of stellar activity influences habitability. While the main asset of the two-band UV mission rests in time-domain astronomy, an example of open clusters proves that such a mission would be important also for the study of stellar populations. Properties of the interstellar dust are best explored when combining optical and IR information with observations in UV.

It is well known that dust absorbs UV radiation efficiently. Consequently, we outline how such a UV mission can be used to detect eclipses of sufficiently hot stars by various dusty objects and study disks, rings, clouds, disintegrating exoplanets or exoasteroids. Furthermore, UV radiation can be used to study the cooling of neutron stars providing information about the extreme states of matter in the interiors of neutron stars and used for mapping heated spots on their surfaces.
Automatic generation of ARM NEON micro-kernels for matrix multiplication
Authors: Alaejos Guillermo , Martínez Héctor , Castelló Adrián , Dolz Manuel F. , Igual Francisco D. , Alonso-Jordá Pedro , Quintana-Ortí Enrique S.
Published: March 2024

General matrix multiplication (gemm) is a fundamental kernel in scientific computing and current frameworks for deep learning. Modern realisations of gemm are mostly written in C, on top of a small, highly tuned micro-kernel that is usually encoded in assembly. The high performance realisation of gemm in linear algebra libraries in general include a single micro-kernel per architecture, usually implemented by an expert. In this paper, we explore a couple of paths to automatically generate gemm micro-kernels, either using C++ templates with vector intrinsics or high-level Python scripts that directly produce assembly code. Both solutions can integrate high performance software techniques, such as loop unrolling and software pipelining, accommodate any data type, and easily generate micro-kernels of any requested dimension. The performance of this solution is tested on three ARM-based cores and compared with state-of-the-art libraries for these processors: BLIS, OpenBLAS and ArmPL. The experimental results show that the auto-generation approach is highly competitive, mainly due to the possibility of adapting the micro-kernel to the problem dimensions.
Relationship of ankyloglossia and obstructive sleep apnea: systematic review and meta-analysis
Authors: Camañes-Gonzalvo Sara , Montiel-Company José María , Paredes-Gallardo Vanessa , Puertas-Cuesta Francisco Javier , Marco-Pitarch Rocío , García-Selva Marina , Bellot-Arcís Carlos , Casaña-Ruiz María Dolores
Published: March 2024

Purpose

Recent studies have highlighted the potential role of a short lingual frenulum as a risk factor for pediatric obstructive sleep apnea syndrome. A shortened frenulum may contribute to abnormal orofacial development, leading to increased upper airway resistance and susceptibility to upper airway collapsibility during sleep. Recognizing early indicators, such as a short lingual frenulum, is crucial for prompt intervention. This systematic review aims to evaluate the association between a short lingual frenulum and the risk of obstructive sleep apnea syndrome in children.

Methods

This systematic review adheres to PRISMA criteria for a quantitative analysis. A comprehensive search was conducted on five databases until January 2024 to identify relevant studies. The selected articles underwent rigorous analysis, considering study design, sample characteristics, lingual frenulum characterization, sleep assessment methods, and key findings.

Results

A total of 239 references were initially identified. Finally, six studies were included in the qualitative synthesis, with four studies eligible for the quantitative synthesis. The Newcastle–Ottawa scale was employed to assess study quality. Meta-analysis, supported by a moderate evidence profile according to the GRADE scale, revealed statistically significant differences, with odds ratios of 3.051 (confidence interval: 1.939 to 4.801) for a short frenulum and 12.304 (confidence interval: 6.141 to 24.653) for a high-arched palate.

Conclusion

This systematic review and meta-analysis provide evidence supporting the association between ankyloglossia and obstructive sleep apnea in children. Nevertheless, it is crucial to consider additional factors such as tongue mobility and the presence of a high-arched palate in further evaluations.
Sensitivity Study Using Synthetic 3D Image Datasets to Investigate the Effect of Noise Artefacts on Digital Volume Correlation
Authors: Paraskevoulakos C. , Ghosh S. , Andriollo T. , Michel A.
Published: March 2024

Background

The potential effect of image noise artefacts on Digital Volume Correlation (DVC) analysis has not been thoroughly studied and, more particularly quantified, even though DVC is an emerging technique widely used in life and material science over the last decade.

Objective

This paper presents the results of a sensitivity study to shed light on the effect of various noise artefacts on the full-field kinematic fields generated by DVC, both in zero and rigid body motion.

Methods

Various noise artefacts were studied, including the Gaussian, Salt & Pepper, Speckle noise and embedded Ring Artefacts. A noise-free synthetic microstructure was generated using Discrete Element Modelling (DEM), representing an idealistic case, and acting as the reference dataset for the DVC analysis. Noise artefacts of various intensities (including selected extreme cases) were added to the reference image datasets using MATLAB (R2022) to form the outline of the parametric study. DVC analyses were subsequently conducted employing AVIZO (Thermo Fisher). A subset-based local approach was adopted. A three-dimensional version of the Structural Similarity Index Measure (SSIM) was used to define the similarity between the compared image datasets on each occasion. Sub-pixel rigid body motion was applied on the DEM-generated microstructure and subsequently “poisoned” with noise artefacts to evaluate mean bias and random error of the DVC analysis.

Results

When the local approach is implemented, the sensitivity study on zero motion data revealed the insignificant effect of the Gaussian, Salt & Pepper, and Speckle noise on the DVC-computed kinematic field. Therefore, the presence of such noise artefacts can be neglected when DVC is executed. On the contrary, Ring Artefacts can pose a considerable challenge and therefore, DVC results need to be evaluated cautiously. A linear relationship between SSIM and the correlation index is observed for the same noise artefacts. Gaussian noise has a pronounced effect on the mean bias error for sub-pixel rigid body motion.

Conclusions

Generating synthetic image datasets using DEM enabled the investigation of a variety of noise artefacts that potentially affect a DVC analysis. Given that, any microstructure – resembling the material studied – can be simulated and used for a DVC sensitivity analysis, supporting the user in appropriately evaluating the computed kinematic field. Even though the study is conducted for a two-phase material, the method elaborated in this paper also applies to heterogeneous multi-phase materials also. The conclusions drawn are valid within the environment of the AVIZO DVC extension module. Alternative DVC algorithms, utilising different approaches for the cross-correlation and the sub-pixel interpolation methods, need to be investigated.
Stabilin-2 mediated apoptotic cell phagocytosis induces interleukin-10 expression by p38 and Pbx1 signaling
Authors: Jo Han-Seul , Kim Ha-Jeong
Published: March 2024

Apoptotic cell death occurs under normal physiological conditions, such as development, tissue remodeling, and inflammation. Appropriate removal of apoptotic cells by phagocytes and the secretion of anti-inflammatory cytokines such as IL-10 are important mechanisms for maintaining tissue homeostasis. Apoptotic cell phagocytosis is mediated by several phosphatidylserine recognition receptors on non-professional or professional phagocytes, such as neighboring epithelial cells or macrophages. Stabilin-2 is reported as a phosphatidylserine recognition receptor for apoptotic cell phagocytosis, and its downstream signaling pathway for cytoskeletal rearrangement for phagocytosis is well known. However, the mechanisms for stabilin-2-mediated IL-10 production has not yet been reported. In this study, we aimed to investigate stabilin-2 receptor-mediated IL-10 transcription regulation signaling pathway.
Novel Probiotic Candidates in Artisanal Feta-Type Kefalonian Cheese: Unveiling a Still-Undisclosed Biodiversity
Authors: Lappa Iliada K. , Natsia Aikaterini , Alimpoumpa Dimitra , Stylianopoulou Electra , Prapa Ioanna , Tegopoulos Konstantinos , Pavlatou Chrysoula , Skavdis George , Papadaki Aikaterini , Kopsahelis Nikolaos
Published: March 2024

Autochthonous dairy lactic acid bacteria (LAB) isolates encompass a natural source of starter, adjunct, or probiotic candidates. In this context, traditionally manufactured, using exclusively animal rennet, Feta-type cheeses were collected from five farms located in different regions of Kefalonia island (Greece). The primary objective of this study was to isolate and characterize novel LAB, thereby exploring the unmapped microbial communities of Kefalonian Feta-type cheese and identifying new potential probiotics. The initial screening, included a preliminary gastrointestinal (GI) tolerance assessment (acidic conditions and bile salts), followed by their safety evaluation (hemolytic activity and antibiotic susceptibility). Based on the preliminary screening, selected strains underwent molecular identification and were further investigated for their probiotic attributes (lysozyme and phenol resistance, antimicrobial traits, antidiabetic aspects, cholesterol reduction and adhesion, adhesion to Caco-2 cells, and milk acidification potential). The results showed that 49, out of the 93 retrieved isolates, exhibited resistance to GI conditions, whereas 18 met the safety criteria. The molecular identification revealed strains belonging to the species Lactiplantibacillus plantarum, Limosilactobacillus fermentum, Lacticaseibacillus rhamnosus, and Lacticaseibacillus paracasei. The selected rod-shaped 14 isolates displayed a potential probiotic character. The best-performing isolates concerning cholesterol assimilation and adhesion, α-glucosidase inhibition, and epithelial adherence were Lpb. plantarum F89, F162, and F254 and Lcb. paracasei F214 and F216, whereas Lcb. paracasei F70 showed potential as a defined strain starter. The present study explores for the first time the biodiversity of traditionally fermented microbial communities in Kefalonian Feta-type cheese, revealing novel potential probiotic strains that can contribute to the development of innovative functional food products.
Design and fabrication of an aluminium oxide cutting insert with an internal cooling channel
Authors: O’Hara John , Fang Feng-Zhou
Published: March 2024

This paper presents the design and fabrication of an aluminium oxide cutting insert with an internal cooling channel formed through an additive manufacturing method. The formed insert is subjected to a controlled densification process and analysed through a series of characterisation investigations. The purpose of the study is to develop the design concept and analyse the forming and sintering parameters used in the lithographic ceramic manufacturing process. The results validated the feasibility of the geometrical design, providing the required structural conformity with the integrated internal feature using conditional specifications. It is confirmed that the forming parameters would affect the material properties of the green body. Furthermore, the results indicate that the heating rate and temperature variance of the de-binding and thermal treatment regime influences the microstructural growth kinetics and the quality of the densified insert. Using a novel application of liquid gallium as an internal coolant, experimental results showed a decrease in tool wear difference of 36% at $$V_{{\text{c}}}$$

V
c

 = 250 m/min, and 31% in tool wear difference at $$V_{{\text{c}}}$$

V
c

 = 900 m/min between cooling and non-cooling conditions. When external cooling was applied, the results showed at $$V_{{\text{c}}}$$

V
c

 = 250 m/min, the difference between the tool wear rates with the internal coolant relative to the external coolant was 29%. Increasing to $$V_{{\text{c}}}$$

V
c

 = 900 m/min, the results revealed a 16% tool wear difference. The results clearly indicate the potential of liquid gallium as a heat transfer agent in internal cooling applications for cutting inserts, and by extension demonstrable reduction in tool wear.
Home telemonitoring in smart rurality: results from the HIS2R interreg feasibility pilot study
Authors: Schoevaerdts Didier , Lerude Marie-Paule , Tellier Véronique , Pierard Marie , Voilmy Dimitri , Novella Jean-Luc
Published: March 2024

Aims

The Health in Smart Rurality Interreg project aims to assess the feasibility of telemonitoring in rural areas across the Franco-Belgian border among patients affected by heart failure or chronic obstructive pulmonary disease. The objectives were to better understand strengths or barriers to implementing telemonitoring for early detection of potential adverse events, for improving quality of life, communication, and care coordination.

Methods

Using a prospective 6-month observational design, interconnected pads were provided to community-dwelling adults aged over 60 years. The device monitored daily body weight, temperature, cardiac rate, blood pressure, and oxygen saturation. Using predefined warning thresholds, data were analyzed by a nurse case-manager who also provided therapeutic education during their contacts.

Results

Out of 87 eligible and screened patients, 21 (24%) were included in the study. At the end of the follow-up, 19 patients (90%) were re-assessed. The rate of hospitalization and mortality was high (32% and 10%, respectively). A total of 644 alerts were recorded (median of 29 alerts/patients) with a high rate of technically-related alerts (TRA) (26%). Out of the 475 non-TRA, 79% and 1% have led to an intervention by the case-manager or the physician, respectively. Therapeutic adjustment was proposed for 12 patients during that period.

Conclusion

Telemonitoring appears to be a promising solution for the follow-up of patients living far from medical resources. The contribution of a case-manager is of added-value in managing alerts, therapeutic education, and coaching. Many questions remain open such as the improvement of technical aspects and long-term compliance in a real-world setting.
Diversification or sensory unification? Controversies around the senses in fin de siècle culture
Authors: Hernandez Barbosa Sonsoles
Published: March 2024

This article analyses the evolutionist discourses on the senses that emerged in the late 19th century, when theories on the evolution of species were in full sway. Drawing on newspapers, essays and medical literature, this article aims to set face to face the two currents of thought that I have identified regarding sensory evolution: the one that stressed the value of the progressive specialisation of the senses as evidence for human evolution mainly supported by Max Nordau, and the one which regarded the sensory regrouping, exemplified by the phenomenon of synaesthesia, as the true symptom of evolution, strongly supported by Victor Segalen. A close examination of their arguments will provide clues concerning their relative position vis-à-vis the theory that stressed the exceptional nature of humankind among all living beings. Based on newspapers, essays and medical literature, this paper, which straddles several fields (history of science, philosophy, cultural history and aesthetics) aims to set both positions face to face, examining their arguments in detail and establishing their genealogies. This will lead to a better understanding of the scope and range of evolutionist discourses in the fin de siècle culture and on their impact upon artistic practices.
Humanism Rounds: A Multifaceted “Back to Bedside” Initiative to Improve Meaning at Work for Internal Medicine Residents
Authors: Kaplan Jennifer M. , Agrawal Suchi , Kumar Disha , Xu Ann , Staggers Kristen A. , Symmes Anna G. , Styskel Reina U. , Styskel Brett , Agrawal Anoop , Rose Stacey R.
Published: March 2024

Introduction

Burnout is an increasingly prevalent problem among resident physicians. To address this problem, the Accreditation Council on Graduate Medical Education (ACGME) created the Back to Bedside initiative, supporting resident-driven projects focused on increasing direct interactions with patients. In 2017, Baylor College of Medicine (BCM) Internal Medicine Residency received a Back to Bedside grant to develop and implement “Humanism Rounds,” a multifaceted program which sought to promote personal connections between residents and patients and foster reflection about patients’ non-clinical stories, with the hopes of reducing burnout and increasing residents’ sense of meaning at work.

Materials and Methods

Between 2018 and 2020, internal medicine residents were instructed on and encouraged to participate in Humanism Rounds. The program included three components: taking a “human history,” bedside rounds focused on non-clinical concerns, and sharing patient stories with colleagues (“celebrations”). Residents were surveyed using institutional and ACGME surveys regarding burnout, meaning at work, and the clinical learning environment.

Results

Three hundred eleven institutional (response rate, 74%) and 328 AGCME (response rate, 78%) surveys were completed and analyzed. Residents who actively engaged with Humanism Rounds reported more meaning and fulfillment at work (p < 0.001). During the period of this project, ratings of the learning environment and personal callousness improved among subgroups of residents.

Conclusions

Baylor College of Medicine Internal Medicine residents who engaged with Humanism Rounds reported more meaning and fulfillment in their work. This program describes a low-cost model for other specialties and institutions to strengthen human connections and improve residents’ experience during training.
A graph neural network with negative message passing and uniformity maximization for graph coloring
Authors: Wang Xiangyu , Yan Xueming , Jin Yaochu
Published: March 2024

Graph neural networks have received increased attention over the past years due to their promising ability to handle graph-structured data, which can be found in many real-world problems such as recommender systems and drug synthesis. Most existing research focuses on using graph neural networks to solve homophilous problems, and not much attention has been paid to heterophily-type problems. In this paper, we propose a graph network model for graph coloring, which is a class of representative heterophilous problems. Different from the message passing in conventional graph networks, we introducenegative message passinginto a physics-inspired graph neural network for more effective information exchange in handling graph coloring problems. Moreover, a new term in the objective function taking into account the information entropy of nodes is suggested to increase the uniformity of the color assignment of each node, giving the neural network more chance to choose suitable colors for each node. Therefore, it could avoid the final solution getting stuck into the local optimum. Experimental studies are carried out to compare the proposed graph model with five state-of-the-art algorithms on ten publicly available graph coloring problems andd-regular graphs with up to$$10^4$$104nodes, demonstrating the effectiveness of the proposed graph neural network.
The logic of carbon substitution: from fossilised life to “cell factories”
Authors: Ehrenstein Véra , Rudge Alice
Published: March 2024

This paper examines how researchers in biotechnology reflect on the challenges of turning microbes into what they call “cell factories”. These researchers use the tools of genome editing to harness the biochemistry of single cell organisms, such as bacteria, yeasts and microalgae, and tweak the enzymatic reactions of their metabolism. One research priority is to engineer microbes able to feed on agricultural residues and assemble drop-in compounds to be used in a range of commercial products, from drugs and food additives, to cosmetics, detergents and fuels. To justify financial support for such research, arguments about the need to move away from petroleum as a source of energy and feedstock for chemical synthesis are put forward, underpinned by concerns for climate change, resource renewability and energy security. Drawing on interviews with scientists, we explore what it means for them to make “cell factories” and discuss how they problematise the logic of carbon substitution that orientates their work. Biotechnology is expected to support a shift from one source of carbon, past life gone through slow geological cycles, to a different source of carbon, renewable biomass metabolised by living microbes. As scientists face unhappy cells, recalcitrant plant fibres and unfair competition from fossil-based processes, the promise of carbon substitution tends to be most convincing in the confined space of the lab where faith in biotechnology goes hand in hand with a pragmatic commitment to sustainability. We speculate that the researchers might be failed by the system that biotechnology seeks to (partially) replace, the conditions of which are shaped not around the material constraints of making “cell factories”, but around fossilised life cracked in ever-greater quantities.
Assessment of particulate matter and particle path trajectory analysis using a HYSPLIT model over Dire Dawa, Ethiopia
Authors: Endale Teshager Argaw , Raba Gelana Amente , Beketie Kassahun Ture , Feyisa Gudina Legese , Gebremichael Haftu Brhane
Published: March 2024

This work deals with the assessment of particulate matter (PM1, PM2.5, and PM10) over Dire Dawa during the month of May 2021. In the study, purple sensor (PS) and gravimetric methods (GM) were used. The purple sensor was to provide real-time measurements of PM1.0, PM2.5, and PM10 particulates. The GM instruments were constructed using wood with 1 m height (distance to ground), with flat board on top of which filter papers were placed to collect particulate matter. The difference in filter paper weight before and after sampling was used to calculate the particle masses. By dividing the weight gain of the filter by the amount of air measured, the concentrations of suspended particulate matter in the defined size range were estimated. The mean value of PM10indicated a good status whereas the mean value of PM2.5revealed a moderate condition as far as pollution is concerned. The purple sensor detected relatively higher values for PM10measurement as compared to GM method during the study period. According to the calculated results of the ratio of mass concentration of PM1.0 to PM10, coarse particles were dominant whereas in the ratio of PM2.5to PM10both coarse and fine mode particles were equally present during the sampling period. The spatial distribution showed variations depending on the locations where the sampling filter papers were placed. The HYSPLIT backward trajectory analysis indicated various air masses and transport channels during different seasons. The predominant pathways were from both urban and desert origins.
Telemedicine and Pediatric Care in Rural and Remote Areas of Middle-and-Low-Income Countries: Narrative Review
Authors: Alnasser Yossef , Proaño Alvaro , Loock Christine , Chuo John , Gilman Robert H.
Published: March 2024

Objectives

Caring for children in low- and middle-income countries (LMIC) can be challenging. This review article aims to explore role of telemedicine in supporting pediatric care in LMIC.

Methodology

A narrative review of existing English and Spanish literature was conducted to assess role of telemedicine to support pediatric care in LMIC.

Results

Beside medical education and direct pediatric care, telemedicine can provide sub-specialties consultations without extra burden on families. Additionally, telemedicine can help in lowering under-5 mortality by supporting neonatal care, infectious illnesses, and non-communicable diseases (NCDs). Telemedicine can be a gate for universal coverage for all children at a lower cost. For over a decade, it has been implemented successfully and sustained in a few LMIC. However, challenges in implementing telemedicine are enormous. Still, opportunities arise by using simpler technology, low-width band internet, smartphones, instant messaging applications and solar energy. COVID-19 pandemic facilitated acceptance and applicability of telemedicine worldwide including LMIC. Nevertheless, governments must regulate telemedicine by issuing policies and ensuring employment of local experts when possible to meet local resources and cultural competency.

Conclusion

Telemedicine has proven successful in improving pediatrics care. Many LMIC should take advantage of this innovation to promote equity and access to high quality pediatric care.
Fertility dynamics during COVID-19: exploring intentions in rural Bangladesh
Authors: Sultana Yasmin
Published: March 2024

This paper investigates the impact of the COVID-19 pandemic on fertility intentions among families in the Rangpur region of Bangladesh, considering various socio-economic and demographic characteristics. The study aims to understand how the COVID-19 pandemic influenced fertility decisions, patterns, and how different contextual factors are relevant to explain those intentions. This study adopted a qualitative methodological approach, utilizing a non-probability purposive sampling procedure to select sixty-five rural women as participants who conceived babies during the COVID-19 pandemic and seven health care providers. Data were collected through semi-structured interviews and KII to explore the factors influencing intentional and unintentional childbirths during the pandemic. The findings revealed that, among the respondents, intentional childbirths were more prevalent than unintentional childbirths. The perceived causes of intentional childbirth in rural areas were pandemic-induced factors, demographic characteristics and societal practices to have a baby. The factors to unintentional childbirth were limited access to reproductive health care services and contraceptives, leading to unplanned pregnancies. Additionally, the study highlights that COVID-19 related economic and health conditions did not have a significant impact on fertility decisions in rural areas. Societal norms and attitudes towards family planning, childbearing and family size played key roles in determining birth intentions. Overall, the research emphasizes the need for targeted policies and initiatives to address the challenges of fertility planning during a health crisis.
Crypto and financial literacy of cryptoasset owners versus non-owners: The role of gender differences
Authors: Balutel Daniela , Engert Walter , Henry Christopher , Huynh Kim P. , Rusu Doina , Voia Marcel C.
Published: March 2024

We measure crypto and financial literacy using microdata from the Bank of Canada’s Bitcoin Omnibus Survey. Our crypto literacy measure is based on three questions covering basic aspects of Bitcoin. The financial literacy measure we use is based on three questions covering basic aspects of conventional finance (the “Big Three”). We find that a significant share of Canadian Bitcoin owners have low crypto knowledge and low financial literacy. We also find gender differences in crypto literacy among Bitcoin owners, with female owners scoring lower in Bitcoin knowledge than male owners. We do not, however, find significant gender differences in financial literacy amongst Bitcoin owners. In contrast, non-owners show gender differences in both crypto and financial literacy.
Environmental cleaning and disinfection in the operating room: a systematic scoping review through a human factors and systems engineering lens
Authors: Xie Anping , Sax Hugo , Daodu Oluseyi , Alam Lamia , Sultan Marium , Rock Clare , Stewart C. Matthew , Perry Shawna J. , Gurses Ayse P.
Published: March 2024

Objective:

To synthesize evidence and identify gaps in the literature on environmental cleaning and disinfection in the operating room based on a human factors and systems engineering approach guided by the Systems Engineering Initiative for Patient Safety (SEIPS) model.

Design:

A systematic scoping review.

Methods:

Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we searched 4 databases (ie, PubMed, EMBASE, OVID, CINAHL) for empirical studies on operating-room cleaning and disinfection. Studies were categorized based on their objectives and designs and were coded using the SEIPS model. The quality of randomized controlled trials and quasi-experimental studies with a nonequivalent groups design was assessed using version 2 of the Cochrane risk-of-bias tool for randomized trials.

Results:

In total, 40 studies were reviewed and categorized into 3 groups: observational studies examining the effectiveness of operating-room cleaning and disinfections (11 studies), observational study assessing compliance with operating-room cleaning and disinfection (1 study), and interventional studies to improve operating-room cleaning and disinfection (28 studies). The SEIPS-based analysis only identified 3 observational studies examining individual work-system components influencing the effectiveness of operating-room cleaning and disinfection. Furthermore, most interventional studies addressed single work-system components, including tools and technologies (20 studies), tasks (3 studies), and organization (3 studies). Only 2 studies implemented interventions targeting multiple work-system components.

Conclusions:

The existing literature shows suboptimal compliance and inconsistent effectiveness of operating-room cleaning and disinfection. Improvement efforts have been largely focused on cleaning and disinfection tools and technologies and staff monitoring and training. Future research is needed (1) to systematically examine work-system factors influencing operating-room cleaning and disinfection and (2) to redesign the entire work system to optimize operating-room cleaning and disinfection.
Applying a Social Ecological Model to Medical Legal Partnerships Practice and Research
Authors: McLaren Susan , Bliss Lisa Radtke , Scott Christina , Kraidler Pam , Pettignano Robert
Published: March 2024

The social ecological model (SEM) is a conceptual framework that recognizes individuals function within multiple interactive systems and contextual environments that influence their health. Medical Legal Partnerships (MLPs) address the social determinants of health through partnerships between health providers and civil legal services. This paper explores how the conceptual framework of SEM can be applied to the MLP model, which also uses a multidimensional approach to address an individual’s social determinants of health.
The small heat shock protein Hsp20.8 imparts tolerance to high temperatures in the leafminer fly, Liriomyza trifolii (Diptera: Agtomyzidae)
Authors: Zhang Yue , Chang Ya-Wen , Wang Yu-Cheng , Yan Yu-Qing , Du Yu-Zhou
Published: March 2024

As an environmental factor, temperature impacts the distribution of species and influences interspecific competition. The molecular chaperones encoded by small heat shock proteins (sHsps) are essential for rapid, appropriate responses to environmental stress. This study focuses on Hsp20.8, which encodes a temperature-responsive sHsp in Liriomyza trifolii, an insect pest that infests both agricultural and ornamental crops. Hsp20.8 expression was highest at 39℃ in L. trifolii pupae and adults, and expression levels were greater in pupae than in adults. Recombinant Hsp20.8 was expressed in Escherichia coli and conferred a higher survival rate than the empty vector to bacterial cells exposed to heat stress. RNA interference experiments were conducted using L. trifolii adults and prepupae and the knockdown of Hsp20.8 expression increased mortality in L. trifolii during heat stress. The results expand our understanding of sHsp function in Liriomyza spp. and the ongoing adaptation of this pest to climate change. In addition, this study is also important for predicting the distribution of invasive species and proposing new prevention and control strategies based on temperature adaptation.