bluuebunny/crossref_metadata_2025_split huggingface dataset:
A hybrid Lagrangian–Eulerian model for vector-borne diseases
Authors: Gao Daozhou , Yuan Xiaoyan 
Published: June 2024

AbstractIn this paper, a multi-patch and multi-group vector-borne disease model is proposed to study the effects of host commuting (Lagrangian approach) and/or vector migration (Eulerian approach) on disease spread. We first define the basic reproduction number of the model, $$\mathcal {R}_0$$

R
0

, which completely determines the global dynamics of the model system. Namely, if $$\mathcal {R}_0 \le 1 $$

R
0

≤
1

, then the disease–free equilibrium is globally asymptotically stable, and if $$\mathcal {R}_0 > 1 $$

R
0

>
1

, then there exists a unique endemic equilibrium which is globally asymptotically stable. Then, we show that the basic reproduction number has lower and upper bounds which are independent of the host residence times matrix and the vector migration matrix. In particular, nonhomogeneous mixing of hosts and vectors in a homogeneous environment generally increases disease persistence and the basic reproduction number of the model attains its minimum when the distributions of hosts and vectors are proportional. Moreover, $$\mathcal {R}_0$$

R
0

can also be estimated by the basic reproduction numbers of disconnected patches if the environment is homogeneous. The optimal vector control strategy is obtained for a special scenario. In the two-patch and two-group case, we numerically analyze the dependence of the basic reproduction number and the total number of infected people on the host residence times matrix and illustrate the optimal vector control strategy in homogeneous and heterogeneous environments.
Printing Protocol: Physical ZKPs for Decomposition Puzzles
Authors: Ruangwises Suthee , Iwamoto Mitsugu 
Published: June 2024

AbstractDecomposition puzzles are pencil-and-paper logic puzzles that involve partitioning a rectangular grid into several regions to satisfy certain rules. In this paper, we construct a generic card-based protocol called printing protocol, which can be used to physically verify solutions of decompositon puzzles. We apply the printing protocol to develop card-based zero-knowledge proof protocols for two such puzzles: Five Cells and Meadows. These protocols allow a prover to physically show that he/she knows solutions of the puzzles without revealing them.
Jürgen Boeckh (1934–2023) and Vera Boeckh, née von Zwehl (1928–2022): pioneers of sensory physiology and neuroethology
Authors: Stengl Monika 
Published: June 2024

AbstractJürgen Boeckh, a respected pioneer of insect olfaction died shortly after his beloved wife Vera Boeckh, née von Zwehl, who pioneered insect vision. Both met in 1958, at the Zoological Institute in Munich. There, Jürgen worked in the group of his PhD advisor Dietrich Schneider, while Vera finished her PhD with Werner Jacobs before she joined the group of Hansjochem Autrum. There, Vera characterized the spectral sensitivity of bee photoreceptors, laying the physiological foundation of Karl von Frisch´s behavioral experiments with bee color vision. Meanwhile, Jürgen focused on the physiological characterization of insect antennal olfactory sensilla. In 1962 Vera and Jürgen married in Munich. Sadly, but characteristic of German woman at these times, Vera´s career ended after her marriage, while Jürgen moved with his mentor Schneider to the Max Planck Institute of Behavioral Physiology in Seewiesen near Munich, which became a famous cradle of insect neuroethology. Vera accompanied and supported her husband Jürgen´s career during his scientific Wanderschaft which ended in 1969, when Jürgen received a full professorship at the University of Regensburg. There, Jürgen became an accomplished German professor, focusing on insect olfaction from peripheral sensory transduction to information processing in the brain´s antennal lobe. After Jürgens retirement in 2000 they moved to Hopfen, Enzensberg near Füssen, where they enjoyed happy years together, before especially Vera´s health deteriorated. Both died shortly after one another during the Corona pandemic. We lost a remarkable couple of insect scientists that will be remembered as pioneers of sensory physiology and neuroethology.
Spectral reordering for faster elasticity simulations
Authors: Flor Alon , Aanjaneya Mridul 
Published: June 2024

AbstractWe present a novel method for faster physics simulations of elastic solids. Our key idea is to reorder the unknown variables according to the Fiedler vector (i.e., the second-smallest eigenvector) of the combinatorial Laplacian. It is well known in the geometry processing community that the Fiedler vector brings together vertices that are geometrically nearby, causing fewer cache misses when computing differential operators. However, to the best of our knowledge, this idea has not been exploited to accelerate simulations of elastic solids which require an expensive linear (or non-linear) system solve at every time step. The cost of computing the Fiedler vector is negligible, thanks to an algebraic Multigrid-preconditioned Conjugate Gradients (AMGPCG) solver. We observe that our AMGPCG solver requires approximately 1 s for computing the Fiedler vector for a mesh with approximately 50Kvertices or 100Ktetrahedra. Our method provides a speed-up between$$10\%$$10%–$$30\%$$30%at every time step, which can lead to considerable savings, noting that even modest simulations of elastic solids require at least 240 time steps. Our method is easy to implement and can be used as a plugin for speeding up existing physics simulators for elastic solids, as we demonstrate through our experiments using the Vega library and the ADMM solver, which use different algorithms for elasticity.
Inter-alpha-trypsin inhibitor heavy chain H3 is a potential biomarker for disease activity in myasthenia gravis
Authors: Schroeter Christina B. , Nelke Christopher , Stascheit Frauke , Huntemann Niklas , Preusse Corinna , Dobelmann Vera , Theissen Lukas , Pawlitzki Marc , Räuber Saskia , Willison Alice , Vogelsang Anna , Marina Adela Della , Hartung Hans-Peter , Melzer Nico , Konen Felix F. , Skripuletz Thomas , Hentschel Andreas , König Simone , Schweizer Michaela , Stühler Kai , Poschmann Gereon , Roos Andreas , Stenzel Werner , Meisel Andreas , Meuth Sven G. , Ruck Tobias 
Published: June 2024

AbstractMyasthenia gravis is a chronic antibody-mediated autoimmune disease disrupting neuromuscular synaptic transmission. Informative biomarkers remain an unmet need to stratify patients with active disease requiring intensified monitoring and therapy; their identification is the primary objective of this study. We applied mass spectrometry-based proteomic serum profiling for biomarker discovery. We studied an exploration and a prospective validation cohort consisting of 114 and 140 anti-acetylcholine receptor antibody (AChR-Ab)-positive myasthenia gravis patients, respectively. For downstream analysis, we applied a machine learning approach. Protein expression levels were confirmed by ELISA and compared to other myasthenic cohorts, in addition to myositis and neuropathy patients. Anti-AChR-Ab levels were determined by a radio receptor assay. Immunohistochemistry and immunofluorescence of intercostal muscle biopsies were employed for validation in addition to interactome studies of inter-alpha-trypsin inhibitor heavy chain H3 (ITIH3). Machine learning identified ITIH3 as potential serum biomarker reflective of disease activity. Serum levels correlated with disease activity scores in the exploration and validation cohort and were confirmed by ELISA. Lack of correlation between anti-AChR-Ab levels and clinical scores underlined the need for biomarkers. In a subgroup analysis, ITIH3 was indicative of treatment responses. Immunostaining of muscle specimens from these patients demonstrated ITIH3 localization at the neuromuscular endplates in myasthenia gravis but not in controls, thus providing a structural equivalent for our serological findings. Immunoprecipitation of ITIH3 and subsequent proteomics lead to identification of its interaction partners playing crucial roles in neuromuscular transmission. This study provides data on ITIH3 as a potential pathophysiological-relevant biomarker of disease activity in myasthenia gravis. Future studies are required to facilitate translation into clinical practice.
Sustained inactivation of the Polycomb PRC1 complex induces DNA repair defects and genomic instability in epigenetic tumors
Authors: Rawal Chetan C. , Loubiere Vincent , Butova Nadejda L. , Gracia Juliette , Parreno Victoria , Merigliano Chiara , Martinez Anne-Marie , Cavalli Giacomo , Chiolo Irene 
Published: June 2024

AbstractCancer initiation and progression are typically associated with the accumulation of driver mutations and genomic instability. However, recent studies demonstrated that cancer can also be driven purely by epigenetic alterations, without driver mutations. Specifically, a 24-h transient downregulation of polyhomeotic (ph-KD), a core component of the Polycomb complex PRC1, is sufficient to induce epigenetically initiated cancers (EICs) in Drosophila, which are proficient in DNA repair and characterized by a stable genome. Whether genomic instability eventually occurs when PRC1 downregulation is performed for extended periods of time remains unclear. Here, we show that prolonged depletion of PH, which mimics cancer initiating events, results in broad dysregulation of DNA replication and repair genes, along with the accumulation of DNA breaks, defective repair, and widespread genomic instability in the cancer tissue. A broad misregulation of H2AK118 ubiquitylation and to a lesser extent of H3K27 trimethylation also occurs and might contribute to these phenotypes. Together, this study supports a model where DNA repair and replication defects accumulate during the tumorigenic transformation epigenetically induced by PRC1 loss, resulting in genomic instability and cancer progression.
First-line hepatic arterial infusion chemotherapy plus lenvatinib and PD-(L)1 inhibitors versus systemic chemotherapy alone or with PD-(L)1 inhibitors in unresectable intrahepatic cholangiocarcinoma
Authors: Lin Yan-Song , Li Shuo , Yang Xia , Guo Rong-Ping , Huang Yu-Hua , Bai Kun-Hao , Weng Jun , Yun Jing-Ping 
Published: June 2024

Abstract
Purpose
Limited treatment options exist for unresectable intrahepatic cholangiocarcinoma (ICC), with systemic chemotherapy (SC) serving as the primary approach. This study aimed to assess the effectiveness of first-line hepatic arterial infusion chemotherapy (HAIC) in combination with lenvatinib and PD-(L)1 inhibitors (HLP) compared to SC combined with PD-(L)1 inhibitors (SCP) or SC alone in treating unresectable ICC.

Methods
Patient with unresectable ICC who underwent first-line treatment with HLP, SCP or SC from January 2016 to December 2022 were retrospectively analyzed. The study evaluated and compared efficacy and safety outcomes across the three treatment groups.

Results
The study comprised 42, 49, and 50 patients in the HLP, SCP, and SC groups, respectively. Median progression-free survival (PFS) times were 30.0, 10.2, and 6.5 months for HLP, SCP, and SC groups. While the SC group had a median overall survival (OS) time of 21.8 months, the HLP and SCP groups hadn’t reached median OS. The HLP group demonstrated significantly superior PFS (p < 0.001) and OS (p = 0.014) compared to the others. Moreover, the HLP group exhibited the highest objective response rate (ORR) at 50.0% and the highest disease control rate (DCR) at 88.1%, surpassing the SC group (ORR, 6.0%; DCR, 52.0%) and SCP group (ORR, 18.4%; DCR, 73.5%) (p < 0.05). Generally, the HLP group reported fewer grades 3–4 adverse events (AEs) compared with others.

Conclusion
In contrast to systemic chemotherapy with or without PD-(L)1 inhibitors, the triple combination therapy incorporating HAIC, lenvatinib, and PD-(L)1 inhibitors showcased favorable survival benefits and manageable adverse events for unresectable ICC.
Trends over time in the deficit of (instrumental) activities of daily living in the Austrian population aged 65 years and older
Authors: Woldemariam Selam , Stein Viktoria K. , Haider Sandra , Dorner Thomas E. 
Published: June 2024

Summary
Background
Difficulties in activities of daily living (ADL) and instrumental activities of daily living (IADL) in older adults are associated with diminished quality of life and increased demand for long-term care. The present study examined the prevalence of disability among individuals aged 65 years and older in Austria, using data from the Austrian Health Interview Surveys (ATHIS).

Methods
The ATHIS 2014 and 2019 surveys were used (N = 5853) for the analysis. Binary logistic regression was performed to measure the association between disability in at least one ADL or IADL limitation and independent variables adjusted for sociodemographic, health-related behavior and survey year.

Results
The prevalence of ADL or IADL limitations increased in both sexes during the 5‑year follow-up period. For ADL limitations, the prevalence rose from 12.8% to 17.9% in men (p < 0.001) and from 19.2% to 25.7% in women (p < 0.001). The IADL limitations increased from 18.9% to 35.1% in men (p < 0.001) and from 38.2% to 50.8% in women (p < 0.001). Women reported significantly higher odds for ADL (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 0.93–1.26) and IADL limitations (OR: 1.74, 95% CI: 1.53–1.98). In both sexes, participants aged 80 years and older reported higher odds for ADL (OR: 4.37, 95% CI:3.77–5.07) and IADL limitations (OR: 4.43, 95% CI: 3.86–5.09) compared to the younger group. Participants with at least one chronic disease reported higher odds for ADL (OR: 4.00, 95% CI: 3.41–4.70) and IADL limitations (OR: 4.37, 95% CI: 3.85–4.96). Primary education, single status, being born in non-EU/EFTA countries, and residing in Vienna were associated with higher odds of ADL and IADL limitations.

Conclusion
Gender, age, education, country of birth, residence, partnership status, number of chronic diseases, noncompliance with physical activity, and nutrition recommendations had a strong association with increased vulnerability to disability. Public health policy must address these factors for disability prevention strategies.
Exercise and diet support in breast and prostate cancer survivors: findings from focus groups
Authors: Dalla Via Jack , Andrew Christopher R. , Baguley Brenton J. , Stewart Nina , Hodgson Jonathan M. , Lewis Joshua R. , Stanley Mandy , Kennedy Mary A. 
Published: June 2024

Abstract
Purpose
Cancer survival is improving, making optimal management of long-term treatment-related adverse effects increasingly important. Exercise and a healthy diet are beneficial and regularly recommended in cancer survivorship guidelines; however, few cancer survivors meet these recommendations so there is a need to explore why. This study aimed to understand experiences receiving exercise and diet support among Australian breast and prostate cancer survivors during and following treatment, and to explore what support they would like to receive.

Methods
Adults who completed active treatment for breast or prostate cancer were recruited via a private cancer care centre. Using a qualitative descriptive study design, participants attended in-person focus groups that were recorded, transcribed, then analysed using reflexive thematic analysis.

Results
In total, 26 cancer survivors (15 breast, 11 prostate) participated in one of seven focus groups (4 breast, 3 prostate). Two themes were developed: 1) It was just brushed over, and 2) Wanting more. Theme 1 reports that exercise, and especially diet, were rarely discussed. If they were, it was often limited to general recommendations. Theme 2 shows that participants wanted more specific and personalised support, and information about how exercise and/or diet could benefit their cancer treatment.

Conclusion
Despite strong interest in receiving personalised exercise and diet support, neither are routinely provided to Western Australian breast and prostate cancer survivors. If support was provided, there was inconsistency in the level and type of support provided. These findings identify important gaps in exercise and diet support provision to cancer survivors and will inform future strategies aiming to improve cancer survivorship care.
Could titanium screws be an appropriate disc stabilization technique in temporomandibular joint arthroscopy?
Authors: Martin-Granizo Rafael , González Luis Vicente , López Juan Pablo 
Published: June 2024

AbstractMultiple techniques for disc fixation through temporomandibular joint arthroscopy have been described. They can be classified as non-rigid, semi-rigid, and rigid. They all offer different advantages and disadvantages, and some have greater difficulties than others. Currently, multiple modifications to the basic techniques have been described in order to facilitate the technique since disc fixation corresponds to one of the procedures that most require skill. However, each technique requires extensive evaluation and monitoring in order to avoid complications and find the benefits of each technique. For this reason, the objective of this letter to the editor is to discuss two situations observed in the previously described fixation technique with osteosynthesis screws. The first issue is the fixation mechanism, and the second is the fixation time. This is in order to continue searching for the truth among all to achieve the best results and the benefit of patients.
Does selective intraoperative music reduce pain following abdominal wall reconstruction? A double-blind randomized controlled trial
Authors: Maskal Sara M. , Gentle Corey K. , Ellis Ryan C. , Tu Chao , Rosen Michael J. , Petro Clayton C. , Miller Benjamin T. , Beffa Lucas R. A. , Chang Jenny H. , Messer Nir , Melland-Smith Megan , Jeekel Johannes , Prabhu Ajita S. 
Published: June 2024

Abstract
Purpose
Although intraoperative music is purported to mitigate postoperative pain after some procedures, its application has never been explored in abdominal wall reconstruction (AWR). We sought to determine whether intraoperative music would decrease early postoperative pain following AWR.

Methods
We conducted a placebo-controlled, patient-, surgeon-, and assessor-blinded, randomized controlled trial at a single center between June 2022 and July 2023 including 321 adult patients undergoing open AWR with retromuscular mesh. Patients received noise-canceling headphones and were randomized 1:1 to patient-selected music or silence after induction, stratified by preoperative chronic opioid use. All patients received multimodal pain control. The primary outcome was pain (NRS-11) at 24 ± 3 h. The primary outcome was analyzed by linear regression with pre-specified covariates (chronic opioid use, hernia width, operative time, myofascial release, anxiety disorder diagnosis, and preoperative STAI-6 score).

Results
178 patients were randomized to music, 164 of which were analyzed. 177 were randomized to silence, 157 of which were analyzed. At 24 ± 3 h postoperatively, there was no difference in the primary outcome of NRS-11 scores (5.18 ± 2.62 vs 5.27 ± 2.46, p = 0.75). After adjusting for prespecified covariates, the difference of NRS-11 scores at 24 ± 3 h between the music and silence groups remained insignificant (p = 0.83). There was no difference in NRS-11 or STAI-6 scores at 48 ± 3 and 72 ± 3 h, intraoperative sedation, or postoperative narcotic usage.

Conclusion
For patients undergoing AWR, there was no benefit of intraoperative music over routine multimodal pain control for early postoperative pain reduction.

Trial registration
ClinicalTrials.gov: NCT05374096.
Survival trend and outcome prediction for pediatric Hodgkin and non-Hodgkin lymphomas based on machine learning
Authors: Zheng Yue , Zhang Chunlan , Sun Xu , Kang Kai , Luo Ren , Zhao Ailin , Wu Yijun 
Published: June 2024

AbstractPediatric Hodgkin and non-Hodgkin lymphomas differ from adult cases in biology and management, yet there is a lack of survival analysis tailored to pediatric lymphoma. We analyzed lymphoma data from 1975 to 2018, comparing survival trends between 7,871 pediatric and 226,211 adult patients, identified key risk factors for pediatric lymphoma survival, developed a predictive nomogram, and utilized machine learning to predict long-term lymphoma-specific mortality risk. Between 1975 and 2018, we observed substantial increases in 1-year (19.3%), 5-year (41.9%), and 10-year (48.8%) overall survival rates in pediatric patients with lymphoma. Prognostic factors such as age, sex, race, Ann Arbor stage, lymphoma subtypes, and radiotherapy were incorporated into the nomogram. The nomogram exhibited excellent predictive performance with area under the curve (AUC) values of 0.766, 0.724, and 0.703 for one-year, five-year, and ten-year survival, respectively, in the training cohort, and AUC values of 0.776, 0.712, and 0.696 in the validation cohort. Importantly, the nomogram outperformed the Ann Arbor staging system in survival prediction. Machine learning models achieved AUC values of approximately 0.75, surpassing the conventional method (AUC =  ~ 0.70) in predicting the risk of lymphoma-specific death. We also observed that pediatric lymphoma survivors had a substantially reduced risk of lymphoma after ten years b,ut faced an increasing risk of non-lymphoma diseases. The study highlights substantial improvements in pediatric lymphoma survival, offers reliable predictive tools, and underscores the importance of long-term monitoring for non-lymphoma health issues in pediatric patients.
Connected impacts: combining migration tracking data with species distribution models reveals the complex potential impacts of climate change on European bee-eaters
Authors: Abdul-Wahab Caoimhe , Costa Joana Santos , D’Mello Felicity , Häkkinen Henry 
Published: June 2024

AbstractClimate change is a key driver of biodiversity loss in multiple ecosystems, which can act at multiple stages of a species life- and annual cycle. Identifying where, when, and how these impacts may happen is key to understanding, and planning for, the population-level effects of climate change. This study assesses how climate change will impact the breeding and non-breeding areas of the European Bee-eater Merops apiaster, a long-distance migratory bird, by combining correlative species distribution models with recent tracking data to account for population connectivity between breeding and non-breeding sites. The three populations studied (Iberian, German, and Bulgarian) demonstrated different levels of exposure to climate change, as well as different patterns of connectivity. The Iberian breeding population showed high exposure to climate change in both its breeding and non-breeding sites, which may result in significant, interacting impacts on this population. In contrast, breeding populations in Germany are likely to benefit from climate change, both in their breeding and non-breeding range. Connectivity also varied; while most populations demonstrated extremely high connectivity between breeding and non-breeding sites, the Iberian population was substantially more behaviourally flexible, indicating there may be some adaptive capacity of this population to change non-breeding sites if some become less suitable due to climate change. Incorporating breeding and non-breeding areas into species distribution modelling highlights how the impacts of climate change may combine into multiplicative impacts across a species’ annual cycle, and how combining methodologies and data sources can provide greater insight into the impact of climate change on migratory species and, in turn, inform conservation action.