bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gesammelte Grundlagen schnell zur Hand
Authors: Voss Gerhard 
Published: February 2024

ZusammenfassungGelernt ist gelernt – Wer das kann, kann Vakuum.In dieser Ausgabe der ViP sind die bis heute vorhandenen 18 Artikel der Serie „Gelernt ist gelernt“ erstmals zusammengefasst, was ein schnelles Nachschlagen von wichtigen Begriffen, mathematischen Formeln und praktischen Vorgehensweisen in der Vakuumtechnik ermöglicht.
Dental erosion following clopidogrel administration in a dog: A case‐based study
Authors: Kim Se Eun 
Published: February 2024

AbstractA 10‐year‐old neutered male Chihuahua presented with unilateral dental erosion that occurred after several months of oral medications mixed with honey. A pH test was performed on all oral medications administered to the dogs to determine the cause of enamel erosion. Among the medications, the only acidic medication was clopidogrel (pH 2.65). To evaluate the effect of clopidogrel on the tooth surface under the same conditions as in the present patient, an additional preliminary study was designed in which two extracted teeth of another dog were immersed in a clopidogrel–honey mixture or only in honey. After a 3‐week soaking of the extracted tooth in the clopidogrel–honey mixture, field‐emission scanning electron microscope analysis revealed a rougher surface, whereas energy‐dispersive X‐ray spectroscopy analysis showed a reduced Ca/C ratio compared to the control tooth. In this case, prolonged exposure of the tooth surface to clopidogrel may be a cause of dental erosion.
Error Estimation
Authors: Ryckelynck David , Casenave Fabien , Akkari Nissrine 
Published: February 2024

AbstractConsider first data-based machine learning techniques. They rely on large sets of examples provided during the training stage and do not learn with equations. Dealing with a situation that do not belong to the training set variability, namely an out-of-distribution sample, can be very challenging for these techniques. Trusting them could imply being able to guarantee that the training set covers the operational domain of the system to be trained. Besides, data-based AI can lack in robustness: examples have been given of adversarial attacks in which a classifier was tricked to infer a wrong class only by changing a very small percentage of the pixels of the input image. These models often also lack explainability: it is hard to understand what is exactly learned, what phenomenon occurs through the layers of a neural network. In some cases, information on the background of a picture is used by the network in the prediction of the class of an object, or bias present in the training data will be learned by the AI model, like gender bias in recruitment processes.
Applications and Extensions: A Survey of Literature
Authors: Ryckelynck David , Casenave Fabien , Akkari Nissrine 
Published: February 2024

AbstractThis chapter contains a literature survey of the work published by the authors in the timeframe of their collaboration, where the concepts presented in this book have been applied to real-life industrial settings, and new methodologies have been developed. The listed contributions are grouped into the following themes: linear manifold learning, nonlinear dimensionality reduction via auto-encoder, piecewise linear dimensionality reduction via dictionary-based ROMnets and manifold learning of physics problems assisted by black-box regressors.
Diabetes and infection: review of the epidemiology, mechanisms and principles of treatment
Authors: Holt Richard I. G. , Cockram Clive S. , Ma Ronald C. W. , Luk Andrea O. Y. 
Published: February 2024

AbstractAn association between diabetes and infection has been recognised for many years, with infection being an important cause of death and morbidity in people with diabetes. The COVID-19 pandemic has re-kindled an interest in the complex relationship between diabetes and infection. Some infections occur almost exclusively in people with diabetes, often with high mortality rates without early diagnosis and treatment. However, more commonly, diabetes is a complicating factor in many infections. A reciprocal relationship occurs whereby certain infections and their treatments may also increase the risk of diabetes. People with diabetes have a 1.5- to 4-fold increased risk of infection. The risks are the most pronounced for kidney infection, osteomyelitis and foot infection, but are also increased for pneumonia, influenza, tuberculosis, skin infection and general sepsis. Outcomes from infection are worse in people with diabetes, with the most notable example being a twofold higher rate of death from COVID-19. Hyperglycaemia has deleterious effects on the immune response. Vascular insufficiency and neuropathy, together with altered skin, mucosal and gut microbial colonisation, contribute to the increased risk of infection. Vaccination is important in people with diabetes although the efficacy of certain immunisations may be compromised, particularly in the presence of hyperglycaemia. The principles of treatment largely follow those of the general population with certain notable exceptions.
Graphical Abstract
Towards advanced piezoelectric metamaterial design via combined topology and shape optimization
Authors: Stankiewicz Gabriel , Dev Chaitanya , Weichelt Michelle , Fey Tobias , Steinmann Paul 
Published: February 2024

AbstractMetamaterials open up a spectrum of artificially engineered properties otherwise unreachable in conventional bulk materials. For electromechanical energy conversion systems, lightweight materials with high hydrostatic piezoelectric coupling coefficients and negative Poisson’s ratio can be obtained. Thus, in this contribution, we explore the possibilities of piezoelectric metamaterials design by employing structural optimization. More specifically, we apply a sequential framework of topology and shape optimization to design piezoelectric metamaterials with negative Poisson’s ratio for electromechanical energy conversion under uniform pressure. Topology optimization is employed to generate the initial layout, whereas shape optimization fine tunes the design and improves durability and manufacturability of the structures with the help of a curvature constraint. An embedding domain discretization (EDD) method with adaptive domain and shape refinement is utilized for an efficient and accurate computation of the state problem in the shape optimization stage. Multiple case studies are conducted to determine the importance of desired stiffness characteristics, symmetry conditions and objective formulations on the design of piezoelectric metamaterials. Results show that the obtained designs are highly dependent on the desired stiffness characteristics. Moreover, the addition of the EDD-based shape optimization step introduces significant changes to the designs, confirming the usability of the sequential framework.
Unveiling the synergistic potency of chlorhexidine and azithromycin in combined action
Authors: Samgane Gizem , Karaçam Sevinç , Tunçer Çağlayan Sinem 
Published: February 2024

AbstractThe growing challenge of antibiotic resistance necessitates novel approaches for combating bacterial infections. This study explores the distinctive synergy between chlorhexidine, an antiseptic and disinfectant agent, and azithromycin, a macrolide antibiotic, in their impact on bacterial growth and virulence factors using Escherichia coli strain Crooks (ATCC 8739) as a model. Our findings reveal that the chlorhexidine and azithromycin combination demonstrates enhanced anti-bacterial effects compared to individual treatments. Intriguingly, the combination induced oxidative stress, decreased flagellin expression, impaired bacterial motility, and enhanced bacterial autoaggregation. Notably, the combined treatment also demonstrated a substantial reduction in bacterial adherence to colon epithelial cells and downregulated NF-κB in the epithelial cells. In conclusion, these results shed light on the potential of the chlorhexidine and azithromycin synergy as a compelling strategy to address the rising challenge of antibiotic resistance and may pave the way for innovative therapeutic interventions in tackling bacterial infections.
Covariant Quantum Combinatorics with Applications to Zero-Error Communication
Authors: Verdon Dominic 
Published: February 2024

AbstractWe develop the theory of quantum (a.k.a. noncommutative) relations and quantum (a.k.a. noncommutative) graphs in the finite-dimensional covariant setting, where all systems (finite-dimensional $$C^*$$

C
∗

-algebras) carry an action of a compact quantum group G, and all channels (completely positive maps preserving a certain G-invariant functional) are covariant with respect to the G-actions. We motivate our definitions by applications to zero-error quantum communication theory with a symmetry constraint. Some key results are the following: (1) We give a necessary and sufficient condition for a covariant quantum relation to be the underlying relation of a covariant channel. (2) We show that every quantum confusability graph with a G-action (which we call a quantum G-graph) arises as the confusability graph of a covariant channel. (3) We show that a covariant channel is reversible precisely when its confusability G-graph is discrete. (4) When G is quasitriangular (this includes all compact groups), we show that covariant zero-error source-channel coding schemes are classified by covariant homomorphisms between confusability G-graphs.
Re-evaluation of dietary interventions in rheumatoid arthritis: can we improve patient conversations around food choices?
Authors: Sharma Prakriti , Brown Shannon , Sokoya Elke M. 
Published: February 2024

AbstractRheumatoid arthritis (RA) is one of over 100 different types of autoimmune conditions. In RA, the cells of the immune system attack the tissue lining the joints, triggering inflammation. A large body of research suggests that the underlying trigger(s) of RA are unique to an individual. For example, increased risk of RA can be driven by smoking tobacco in one individual and mercury exposure in another. Due to the development of next-generation sequencing technology, the critical role of the microbiota in shaping RA risk has been elucidated. Therefore, it is surprising that diet, arguably the most important lever in shaping the gut microbiota, is ineffective in the treatment of RA, even in a sub-set of patients. To attempt to rationalise this apparent paradox, we conducted an umbrella review to address the question as to whether diet can affect outcomes in RA.
The prepontine block and its relevance for the development and treatment of hydrocephalus
Authors: Richetta Carla , Shiran Shelly I. , Constantini Shlomi , Roth Jonathan 
Published: February 2024

Abstract
Objective
Pulsatile CSF flow patterns include flow through the ventricles to the subarachnoid space and cisterns and from the infra- to the supratentorial subarachnoid space. In this study, we demonstrate how an obstruction at the level of the prepontine space may lead to obstructive hydrocephalus with specific radiological characteristics, as well as the implications for treatment options.

Methods
We retrospectively collected data of patients who underwent surgery between February 2010 and December 2022 for hydrocephalus secondary to a suspected prepontine block. One additional patient diagnosed with prepontine block who did not undergo surgery was also included. We excluded patients with a background of previous unrelated neurosurgical procedures or CNS infections.

Results
Six children and two adults were included. Three presented with hydrocephalus on imaging, without any other underlying pathology. Five had a suprasellar arachnoid cyst, with its lower border abating the pons and occluding the spinal subarachnoid space (SAS). All cases had an open aqueduct on T2 sagittal sequences, as well as an infracerebellar or retrocerebellar CSF collection. In most cases, a horizontal web was identified in the prepontine region. Seven cases were treated with an endoscopic fenestration. One patient subsequently underwent a shunt surgery. All the operated children reached normal developmental milestones after surgery.

Conclusions
This paper describes a rather small series of cases where clear obstruction was observed at the level of the prepontine subarachnoid space. We believe this anatomical subtlety adds to a better understanding of CSF pathways and the role of ETV in treating hydrocephalus, focusing on a small subgroup of patients without a clear obstruction.
Victims of drug facilitated sexual assault aged 13-24: a cross sectional study on the pool of users of a sexual violence relief centre in Northern Italy
Authors: Simonaggio Cinzia , Rubini Elena , Facci Giulia , Castagna Paola , Canavese Antonella , Scotti Lorenza , Gino Sarah 
Published: February 2024

AbstractThis cross-sectional study aimed to assess the association between drugs and alcohol intake and sexual abuse in adolescents, otherwise defined as Drug Facilitated Sexual Assault (DFSA). We considered the survivors who accessed care at the Centre “Soccorso Violenza Sessuale” (SVS – Sexual Violence Relief Centre) in Turin (Italy), between May 2003 and May 2022. We found that 973 patients aged 13–24 among which 228 were victims of DFSA. Epidemiological and anamnestic aspects of the episode of sexual violence were examined, with a specific focus on investigating the alcohol and/or drug intake as reported by the victim, along with the results of the toxicological analysis. the study further accounts for the variations caused by the COVID-19 pandemic on DFSA-related accesses. Our findings show that 23% of adolescents accessing care at SVS were subjected to DFSA. Six out ten adolescents knew their aggressor, at times a partner (10%) oran acquaintance (43%). In 12% of cases violence was perpetrated by a group of people (12%). Almost 90% of young victims described alcohol consumption, while 37% reported drug use at the time of the assault. Alcohol taken alone or in combination with other substances was the most detected drug in our sample throughout the period considered. Given the large use of psychoactive substances among adolescents, it is imperative to implement harm reduction strategies alongside educational activities aimed at fostering awareness about consent. Health personnel should be trained to manage the needs of victims of DFSA clinically and forensically.
Counterregulatory hormone and symptom responses to hypoglycaemia in people with type 1 diabetes, insulin-treated type 2 diabetes or without diabetes: the Hypo-RESOLVE hypoglycaemic clamp study
Authors: Fabricius Therese W. , Verhulst Clementine E. M. , Kristensen Peter L. , Holst Jens J. , Tack Cees J. , McCrimmon Rory J. , Heller Simon R. , Evans Mark L. , de Galan Bastiaan E. , Pedersen-Bjergaard Ulrik ,   the Hypo-RESOLVE consortium
Published: February 2024

Abstract
Aim
The sympathetic nervous and hormonal counterregulatory responses to hypoglycaemia differ between people with type 1 and type 2 diabetes and may change along the course of diabetes, but have not been directly compared. We aimed to compare counterregulatory hormone and symptom responses to hypoglycaemia between people with type 1 diabetes, insulin-treated type 2 diabetes and controls without diabetes, using a standardised hyperinsulinaemic-hypoglycaemic clamp.

Materials
We included 47 people with type 1 diabetes, 15 with insulin-treated type 2 diabetes, and 32 controls without diabetes. Controls were matched according to age and sex to the people with type 1 diabetes or with type 2 diabetes. All participants underwent a hyperinsulinaemic–euglycaemic-(5.2 ± 0.4 mmol/L)-hypoglycaemic-(2.8 ± 0.13 mmol/L)-clamp.

Results
The glucagon response was lower in people with type 1 diabetes (9.4 ± 0.8 pmol/L, 8.0 [7.0–10.0]) compared to type 2 diabetes (23.7 ± 3.7 pmol/L, 18.0 [12.0–28.0], p < 0.001) and controls (30.6 ± 4.7, 25.5 [17.8–35.8] pmol/L, p < 0.001). The adrenaline response was lower in type 1 diabetes (1.7 ± 0.2, 1.6 [1.3–5.2] nmol/L) compared to type 2 diabetes (3.4 ± 0.7, 2.6 [1.3–5.2] nmol/L, p = 0.001) and controls (2.7 ± 0.4, 2.8 [1.4–3.9] nmol/L, p = 0.012). Growth hormone was lower in people with type 2 diabetes than in type 1 diabetes, at baseline (3.4 ± 1.6 vs 7.7 ± 1.3 mU/L, p = 0.042) and during hypoglycaemia (24.7 ± 7.1 vs 62.4 ± 5.8 mU/L, p = 0.001). People with 1 diabetes had lower overall symptom responses than people with type 2 diabetes (45.3 ± 2.7 vs 58.7 ± 6.4, p = 0.018), driven by a lower neuroglycopenic score (27.4 ± 1.8 vs 36.7 ± 4.2, p = 0.012).

Conclusion
Acute counterregulatory hormone and symptom responses to experimental hypoglycaemia are lower in people with type 1 diabetes than in those with long-standing insulin-treated type 2 diabetes and controls.
Prevalence of mental disorders among Australian females: Comparison according to motherhood status using Australian birth cohort data
Authors: Sapkota Diksha , Ogilvie James , Dennison Susan , Thompson Carleen , Allard Troy 
Published: February 2024

Abstract
Purpose
Studies examining mental disorders among women have primarily focused on either depression, anxiety, or substance use disorders and not included the broader spectrum of mental disorders. Mixed evidence exists on the prevalence rates of mental disorders among mothers. This study compares the prevalence of different mental disorders and mental comorbidities between mothers and non-mothers and assesses correlates of mental disorders among mothers.

Methods
A population-based birth cohort design was adopted, consisting of 40,416 females born in Queensland, Australia, in 1983/84. Linked administrative data from hospital admissions were used to identify mental disorders. Cumulative incidence curves of different mental disorders were created separately for mothers and non-mothers.

Results
Mental disorder prevalence among females by age 29–31 years was 7.8% (11.0% for mothers and 5.2% for non-mothers). Mothers were overrepresented in almost all categories of mental disorders, with overrepresentation becoming more pronounced with age. Mothers with a mental disorder were more likely to be unmarried, Indigenous, young at birth of first child, have greater disadvantage, and have a single child, compared to mothers without a mental disorder. Nearly half of the mothers (46.9%) had received a mental disorder diagnosis before having their first child.

Conclusions
Mothers, particularly unmarried, Indigenous, having greater disadvantage, and younger at birth of first child, represent a unique group with high vulnerability to mental disorders, that begins in childhood and is amplified with age. Presence of significant mental disorder comorbidities among females highlights the critical importance of a comprehensive, integrated approach to prevent and address multiple comorbidities.
Inhibition of cysteine protease disturbs the topological relationship between bone resorption and formation in vitro
Authors: Ono Sayaka , Tsuji Naoki , Sakamoto Tomoaki , Oguchi Shuya , Nakamura Takashi , Hoshi Kazuto , Hikita Atsuhiko 
Published: February 2024

Abstract
Introduction
Osteoporosis is a global health issue. Bisphosphonates that are commonly used to treat osteoporosis suppress both bone resorption and subsequent bone formation. Inhibition of cathepsin K, a cysteine proteinase secreted by osteoclasts, was reported to suppress bone resorption while preserving or increasing bone formation. Analyses of the different effects of antiresorptive reagents such as bisphosphonates and cysteine proteinase inhibitors will contribute to the understanding of the mechanisms underlying bone remodeling.

Materials and Methods
Our team has developed an in vitro system in which bone remodeling can be temporally observed at the cellular level by 2-photon microscopy. We used this system in the present study to examine the effects of the cysteine proteinase inhibitor E-64 and those of zoledronic acid on bone remodeling.

Results
In the control group, the amount of the reduction and the increase in the matrix were correlated in each region of interest, indicating the topological and quantitative coordination of bone resorption and formation. Parameters for osteoblasts, osteoclasts, and matrix resorption/formation were also correlated. E-64 disrupted the correlation between resorption and formation by potentially inhibiting the emergence of spherical osteoblasts, which are speculated to be reversal cells in the resorption sites.

Conclusion
These new findings help clarify coupling mechanisms and will contribute to the development of new drugs for osteoporosis.
Do maternal anxiety and depressive symptoms predict anxiety in children with and without ADHD at 8 years?
Authors: Ingeborgrud Christine Baalsrud , Oerbeck Beate , Friis Svein , Pripp Are Hugo , Zeiner Pål , Aase Heidi , Biele Guido , Dalsgaard Søren , Overgaard Kristin Romvig 
Published: February 2024

AbstractMaternal anxiety and depression during pregnancy and early childhood have been associated with child anxiety and attention-deficit/hyperactivity disorder (ADHD). However, previous studies are limited by their short follow-up, few assessments of maternal symptoms, and by not including maternal and child ADHD. The present study aimed to fill these gaps by investigating whether maternal anxiety and depressive symptoms from pregnancy to child age 5 years increase the risk of child anxiety disorders at age 8 years. This study is part of the population-based Norwegian Mother, Father, and Child Cohort Study. Maternal anxiety and depressive symptoms were assessed by the Hopkins Symptom Checklist (SCL) six times from pregnancy through early childhood, and ADHD symptoms by the Adult Self-Report Scale (ASRS). At age 8 years (n = 781), symptoms of anxiety disorders and ADHD were assessed, and disorders classified by the Child Symptom Inventory-4. Logistic regression models estimated the risk of child anxiety depending on maternal symptoms. The mothers of children classified with an anxiety disorder (n = 91) scored significantly higher on the SCL (at all time points) and ASRS compared with the other mothers. In univariable analyses, maternal anxiety and/or depression and ADHD were associated with increased risk of child anxiety (odds ratios = 2.99 and 3.64, respectively), remaining significant in the multivariable analysis adjusted for covariates. Our findings link maternal anxiety, depression, and ADHD during pregnancy and early childhood to child anxiety at age 8 years.