bluuebunny/crossref_metadata_2025_split huggingface dataset:
Everolimus Prevents Doxorubicin-Induced Apoptosis Through Autophagy, Mitophagy and AKT Activation in H9c2 Cardiomyocytes
Authors: Kanno Syu-ichi , Hara Akiyoshi 
Published: May 2023

Abstract
Cardiotoxicity is a severe side effect of the potent chemotherapeutic agent doxorubicin (DOX). We recently showed that DOX-induced cardiomyocyte apoptosis and death are attenuated by pre-induction of autophagy. Here, we aimed to assess how the autophagy/mitophagy-inducing antitumor drug everolimus (EVL) affects DOX-induced cytotoxicity in the rat cardiomyocyte cell line H9c2 and the human breast cancer cell line MCF-7. Apoptosis was assessed using an annexin V assay. Autophagy and mitophagy were assessed using fluorescence assays. Levels of cellular proteins were determined using western blotting. Pretreatment with EVL (1 nM) before DOX exposure inhibited mechanistic target of rapamycin activity, induced autophagy and mitophagy, and activated protein kinase B (AKT) in H9c2 cells. In mitochondria, DOX (1 µM) induced structural damage (a decrease in membrane potential and release of cytochrome c), increased superoxide levels, and altered levels of apoptosis-related proteins (a decrease in apoptosis inhibitor Bcl-2 and an increase in apoptosis inducer Bax), leading to apoptosis and reduction of viability in H9c2 cells. Alterations induced by DOX were suppressed by pretreatment with EVL. The anti-apoptotic effect of EVL was abolished by treatment with MK-2206, a selective AKT inhibitor. The results suggest that EVL suppresses DOX-induced cardiomyocyte toxicity through both autophagy/mitophagy and AKT activation. However, EVL did not attenuate DOX-induced apoptosis or reduction in viability in MCF-7 cells. Taken together, EVL can protect cardiomyocytes from DOX-induced apoptosis and toxicity without reducing the antitumor effects of DOX and thus may assist safer DOX chemotherapy.
Electroencephalographic monitoring of anesthesia during surgical procedures in mice using a standard clinical system
Authors: Joyce Leesa , Wenninger Alissa , Kreuzer Matthias , García Paul S. , Schneider Gerhard , Fenzl Thomas 
Published: May 2023

Abstract
Monitoring brain activity and associated physiology during the administration of general anesthesia (GA) is pivotal to guarantee postanesthetic health. Clinically, electroencephalogram (EEG) monitoring is a well-established method to guide GA. There are no methods available for monitoring EEG in mice (Mus musculus) during surgery. Non-invasive methods of anesthetic level monitoring are limited to oximetry, capnometry, respiratory rate and the color of the mucous membrane. These methods lack direct access to the brain which is the primary target of GA. In this study, a minimally invasive rodent intraoperative EEG monitoring system was implemented using subdermal needle electrodes and a modified EEG-based commercial patient monitor. EEG recordings with the monitoring system revealed that surgical concentrations of isoflurane anesthesia predominantly contained burst suppression patterns in mice. EEG suppression ratios and durations showed strong correlations with the isoflurane concentrations. The suppression duration in the raw EEG signals during isoflurane anesthesia is an easy-to-detect and reliable marker to assure safe, adequate and reproducible anesthesia protocols.
Spatial epidemiological analysis of the burden of liver cancer in China
Authors: Guo Jingjie , Qu Meng , Lin Jing , Yuan Weiguang , Cai Huilong , Song Zengfu , Jiang Yang , Sun Huixin 
Published: May 2023

Abstract
Purpose To analyze the spatial distribution characteristics and clustering of the disability-adjusted life years (DALY) rate of liver cancer in 1990 and 2017 in China based on provincial administrative divisions, and to explore its possible influencing factors, in order to provide a new scientific perspective for the prevention and control of liver cancer.Methods The DALY rate data of liver cancer at the provincial level in China were collected, the DALY rate of thematic map was segmented by natural discontinuity method, the global autocorrelation of the DALY rate was analyzed by Moran's I, the local autocorrelation of the DALY rate was analyzed by Getis-Ord-Gi*, and the influencing factors related to the DALY rate were analyzed by the least squares regression model.Results The DALY rate of liver cancer in China generally showed an increasing trend. The DALY rate of liver cancer in China increased from 649.16/100,000 in 1990 to 789.61/100,000 in 2017, increasing by 21.64%. The DALY rate increased in 22 provinces and decreased in 9 provinces. In 2017, the distribution of DALY rate in all provinces showed heterogeneity, with the highest DALY rate in Guangxi (1,363.37/100,000) and the lowest in Beijing (315.78/100,000). In 2017, the DALY rate of liver cancer in China was more extensive. The low and low clustering were mainly concentrated in Inner Mongolia and Hebei. The low and high clustering in Yunnan, Guizhou and Guangdong were surrounded by the high clustering in neighboring provinces, and the high clustering was mainly concentrated in Hunan and Jiangxi. The results of the least square regression model showed that the per capita years of education, hepatitis B incidence and the proportion of population over 65 years old had an impact on the DALY rate of liver cancer (P < 0.05). The incidence of hepatitis B and the proportion of population over 65 years old were positively correlated with the DALY rate of liver cancer, and the per capita years of education was negatively correlated with the DALY rate. GDP had no effect on the DALY rate of HCC (P > 0.05).Conclusion The DALY rate of liver cancer in China showed an overall increasing trend. In 2017, the DALY rate of liver cancer in China had a spatial aggregation in the whole country, and the per capita years of education, the incidence of hepatitis B and the proportion of population over 65 years old had an impact on the DALY rate of liver cancer in space.
Multiple factors influencing telomere length and DNA damage in individuals living near a coal-burning power plant
Authors: Souza Melissa Rosa , Garcia Ana Letícia Hilário , Dalberto Daiana , Picinini Juliana , Touguinha Luciana Bavaresco Andrade , Salvador Mirian , Silva Juliana 
Published: May 2023

Abstract
Coal is a mixture of several chemicals, many of which have mutagenic and carcinogenic effects and a key contributor to the global burden of mortality and disease. Previous studies suggest that coal is related to telomeric shortening in individuals occupationally exposed, however little is known about the effects of mining and burning coal on the telomeres of individuals living nearby. Therefore, the aim of this study was to evaluate the influence of this exposure on genomic instability of individuals who live near coal activities, besides correlating results with individual characteristics, inflammatory responses, oxidative stress and inorganic elements. The study involved 80 men participants from three cities around a thermoelectric power plant and one city unexposed to coal and byproducts. DNA was isolated from peripheral blood samples from all individuals and telomeres (TL) were measured by quantitative real time polymerase chain reaction (qPCR). No significant difference was observed between exposed individuals (6.227 ± 2.884 pb) when compared to the unexposed group (5.638 ± 2.452 bp). Nevertheless, TL decrease was associated with age and risk for cardiovascular disease. Higher concentrations of Si and P in blood samples were associated with longer telomeres length. No correlations were observed between TL with comet assay, micronucleus test, oxidative stress, and inflammatory results. Further studies are needed to determine whether these alterations are associated with diseases and premature deaths.
GNN for Deep Full Event Interpretation and hierarchical reconstruction of heavy-hadron decays in proton-proton collisions
Authors: Pardiñas Julián García , Calvi Marta , Eschle Jonas , Mauri Andrea , Meloni Simone , Mozzanica Martina , Serra Nicola 
Published: May 2023

Abstract
The LHCb experiment at the Large Hadron Collider (LHC) is designed to perform high-precision measurements of heavy-hadron decays, which requires the collection of large data samples and a good understanding and suppression of multiple background sources. Both factors are challenged by a five-fold increase in the average number of proton-proton collisions per bunch crossing, corresponding to a change in the detector operation conditions for the LHCb Upgrade I phase, recently started. A further ten-fold increase is expected in the Upgrade II phase, planed for the next decade. The limits in the storage capacity of the trigger will bring an inverse relation between the amount of particles selected to be stored per event and the number of events that can be recorded, and the background levels will raise due to the enlarged combinatorics. To tackle both challenges, we propose a novel approach, never attempted before in a hadronic collider: a Deep-learning based Full Event Interpretation (DFEI), to perform the simultaneous identification, isolation and hierarchical reconstruction of all the heavy-hadron decay chains per event. This approach radically contrasts with the standard selection procedure used in LHCb to identify heavy-hadron decays, that looks individually at sub-sets of particles compatible with being products of specific decay types, disregarding the contextual information from the rest of the event. We present the first prototype for the DFEI algorithm, that leverages the power of Graph Neural Networks (GNN). This paper describes the design and development of the algorithm, and its performance in Upgrade I simulated conditions.
Relational Adversarial Logic
Authors: Vanegue Julien 
Published: May 2023

Abstract
Adversarial Logic is an extension of Incorrectness Logic providing a formal framework to study \emph{security exploits}. This article introduces \emph{Relational Adversarial Logic} (RAL), a derived logic from AL capable of reasoning on attack proofs for software security hyper-properties. Unlike other approaches to under-approximate relational analysis, we model the relation between two comparable implementations by introducing an explicit adversarial term, which is composed in parallel to the programs under comparison. Unlike in the original Adversarial logic where the parallel composition is used to model the adversary as a saboteur, the adversarial term is used as an arbiter in RAL. As such, RAL can express relational under-approximation without introducing meta-variables or a higher level logic. We demonstrate the relational capabilities of RAL by modeling a real URL confusion vulnerability between two widespread URL parsing implementations. Our presentation demonstrates that it only suffices to introduce new derived rules from AL, rather than introducing a new logic or relying on meta-variables as done in other approaches. As such, RAL retains simplicity and is more faithful to the original incorrectness logic by O'Hearn, from which it inherits its soundness.
Robotic realization of human perceptual changes with lateral balance task
Authors: Tomabechi Kazuya , Morita Ryosuke , Ito Satoshi 
Published: May 2023

Abstract

Human motor learning affects not only motion pattern but also perception. On the basis of this idea, we investigated some human-balancing tasks to observe changes in the balance perception. We simulated one of the results to replay the human behavior. In this study, we aim to demonstrate the human adaptive behavior in a motor and sensory system using a robot in a real-world scenario. The subjective upright, i.e., the inclination angle was considered as upright, was evaluated as perception in a balance position, and its lateral shift was determined after a motor-learning task under lateral disturbances. The adaptation dynamics was defined based on our hypothesis that stated that the subjective upright tends to vary toward the posture in which balance can be best maintained. Consequently, the change in the subjective upright similar to the human result was reproduced using a two-link robot that was subjected to the same environmental condition as that in the human experiment.
Deep video decaptioning based on multi-scale large kernel attention
Authors: Wang Chao , Cai Feifang , Li Yuhang , Zhou Qing , Ding Youdong 
Published: May 2023

Abstract
Video decaptioning is a subfield of video inpainting that aims to automatically remove subtitles from videos. One major challenge in video decaptioning is the lack of publicly available multi-language datasets. Currently available datasets only have English subtitles. To address this issue, we developed a new video decaptioning dataset called the Multi-language Video Subtitle Removal Dataset (Ml-VSR Dataset). In recent years, video inpainting methods have incorporated optical flow and transformer designs into their network models, resulting in improved performance. However, these methods often require a large number of model parameters, high-end training hardware, and long inference times. To overcome these limitations, we propose a two-stage network framework for video decaptioning. The framework consists of a mask extraction network (MEN) and a lightweight multi-scale large kernel attention video decaptioning network (MS-LKAVDN). The MEN comprises two stages: mask coarse extraction and mask refine extraction. We introduce a novel multi-scale attention network structure in the MS-LKAVDN to recover more image texture details while reducing model parameters. Additionally, we apply large kernel attention to video decaptioning for the first time, significantly reducing the model's computational effort. Extensive experiments show that our network has smaller model parameters, lower FLOPs, and shorter inference times than previous methods. Moreover, our method outperforms previous video decaptioning methods in both qualitative and quantitative comparisons, demonstrating superior performance in removing subtitles. Overall, our proposed two-stage network video decaptioning framework is lightweight, computationally efficient, and achieves state-of-the-art performance.
Effects of COVID-19 on Dutch diabetes care
Authors: jessicabak Jessica C.G. , Serné Erik H. , Groenwold Rolf H.H. , Valk Harold W. , Kramer Mark H.H. , Nieuwdorp Max , Verheugt Carianne L. 
Published: May 2023

Abstract
Aims
The COVID-19 pandemic impacted diabetes care by reducing diabetes outpatient visits and diabetes-related screening due to healthcare allocation. Yet the impact of COVID-19 on diabetes outpatients has not been extensively evaluated. This study aimed to assess the effect of the COVID-19 pandemic on all aspects of outpatient diabetes care, particularly diagnostics and intermediate outcomes.
Methods
This observational cohort study included 8,442 diabetes patients in the Dutch Pediatric and Adult Registry of Diabetes (DPARD) visiting diabetes outpatient clinics in 2019 and 2021. A mixed-effects regression analysis was used to examine differences in target achievement of HbA1c, BMI, blood pressure, LDL-cholesterol, eGFR, and the difference in mean HbA1c between 2019 and 2020 among n=1,426 outpatients who visited in both years. Analyses were adjusted for age, sex, and BMI
Results
A 22.7% (21.6 - 23.8%, p<0,001) decline in outpatient volume was observed during the pandemic. BMI, lipid spectrum, kidney function, and HbA1c were assessed less frequently in 2020 than in 2019. In 2020, compared to 2019, the median HbA1c level increased by 2.2% (1.0 mmol/mol, p=0.035) and the percentages of patients with known HbA1C meeting targets below 10, 8, 7% (86, 64, and 53 mmol/mol) decreased by 0.5%, 1.7% and 1.4%, respectively. Target blood pressure ≤130/80 mmHg was achieved more often in 2020 (15.0% versus 18.3%, p= 0.018), while HbA1c ≤86 mmol/mol was achieved less (89.3% versus 87.1%, p=0.001), among n=1,426 diabetes outpatients seen in both 2019 and 2020. In patients visiting both years, HbA1c was 2.3% (1.9 mmol/l, 95% CI 1.2-2.5, p<0.001) lower during the pandemic than in the prepandemic.
Conclusions
The COVID pandemic impacted Dutch diabetes outpatient care by reducing patient volume by 22.7%. Among patients who received outpatient care both before and during the pandemic period, HbA1c control and blood pressure control enhanced during the pandemic. Re-evaluation of current diabetes outpatient care organization is warranted to ensure optimal diabetes care in future times.
A Review of Automatic Generation of Test Cases from Use Case Specification
Authors: Asefa Surafiel Habib , Abegaz Yohanna Yimer 
Published: May 2023

Abstract
Software testing is an integral phase in the software development life cycle (SDLC). It refers to the process of verifying and evaluating the function of a software product. Among the testing activities, test case generation affects the effectiveness and efficiency of the testing process and requires a significant amount of effort and time. To reduce the effort and time involved in the manual test case generation process, significant research effort has been dedicated to the automatic generation of test cases. Although the majority of the proposed approaches are based on UML models, some works have presented a test case generation approach based on specifications. This literature review (LR) discusses use case specification-based automatic test case generation approaches and the methods used to validate them. Additionally, the review shows how the approaches differ in addressing some current issues in software testing.
Comparability of the six Rivermead Post-Concussion Symptoms Questionnaire translations: Results from the CENTER-TBI study
Authors: Zeldovich Marina , Bockhop Fabian , Covic Amra , Mueller Isabelle , Polinder Suzanne , Mikolic Ana , Vlegel Marjolein van der , von Steinbuechel Nicole , investigators and the CENTER-TBI participants and 
Published: May 2023

Abstract
Background
Comparison of patient-reported outcomes in multilingual studies requires evidence of the equivalence of translated versions of the questionnaires. The present study examines the comparability of six language versions of the Rivermead Post-Concussion Symptoms Questionnaire (RPQ) administered to individuals following traumatic brain injury (TBI) in the Collaborative European NeuroTrauma Effectiveness Research (CENTER-TBI) study.
Methods
Six competing RPQ models were fitted to data from Dutch (n = 597), English (n = 223), Finnish (n = 213), Italian (n = 268), Norwegian (n = 263), and Spanish (n = 254) language samples recruited six months after injury. To determine whether the same latent construct was measured by the best-fitting model across languages and TBI severity groups (mild/moderate vs. severe), measurement invariance (MI) was tested using confirmatory factor analysis.
Results
The results did not indicate a violation of the MI assumption. The six RPQ translations were invariant across languages and were able to capture the same construct across TBI severity groups. The three-factor solution comprising emotional, cognitive, and somatic factors provided the best fit with the following fit indices for the total sample: χ2(101) = 647.04, χ2/df= 6.41, p < 0.001, CFI = 0.995, TLI = 0.994, RMSEA = 0.055, CI90%[0.051, 0.059], SRMR = 0.051.
Conclusion
The questionnaire can be used in international research, allowing for direct comparisons of scores across languages analyzed within the full spectrum of TBI severity.
Novel Populations of Lung Capillary Endothelial Cells and Their Functional Significance
Authors: James Joel , Dekan Aleksandr , Niihori Maki , McClain Nolan , Varghese Mathews , Bharti Dinesh , Lawal Odunayo Susan , Padilla-Rodrigez Marco , Yi Dan , Dai Zhiyu , Gusev Oleg , Rafikova Olga , Rafikov Ruslan 
Published: May 2023

Abstract
The role of the lung's microcirculation and capillary endothelial cells in normal physiology and the pathobiology of pulmonary diseases is unequivocally vital. The recent discovery of molecularly distinct aerocytes and general capillary (gCaps) endothelial cells by single-cell transcriptomics (scRNAseq) advanced the field in understanding microcirculatory milieu and cellular communications. However, increasing evidence from different groups indicated the possibility of more heterogenic structures of lung capillaries. Therefore, we investigated enriched lung endothelial cells by scRNAseq and identified five novel populations of gCaps with distinct molecular signatures and roles. Our analysis suggests that two populations of gCaps that express Scn7a(Na+) and Clic4(Cl−) ion transporters form the arterial-to-vein zonation and establish the capillary barrier. We also discovered and named mitotically-active "root" cells (Flot1+) on the interface between arterial, Scn7a+, and Clic4 + endothelium, responsible for the regeneration and repair of the adjacent endothelial populations. Furthermore, the transition of gCaps to a vein requires a venous-capillary endothelium expressing Lingo2. Finally, gCaps detached from the zonation represent a high level of Fabp4, other metabolically active genes, and tip-cell markers showing angiogenesis-regulating capacity. The discovery of these populations will translate into a better understanding of the involvement of capillary phenotypes and their communications in lung disease pathogenesis.
The Victimological Context on Child Sexual Violence
Authors: Chasanah Anissaa Nuril , Arifin Ridwan 
Published: May 2023

Sexual violence against children is a crime that needs serious attention. In this crime, children as victims often do not get adequate legal protection and fulfill their rights as victims. This study aims to analyze child sexual crimes in the context of victimology and victim protection. This study uses a normative legal study approach by analyzing the applicable laws and regulations as well as literature review related to the protection of children as victims of sexual crimes. This study proves and confirms that the protection of children in cases of sexual crimes has been legally guaranteed through the Law on the Protection of Witnesses and Victims, the Law on Child Protection, and the Law on Human Rights. However, the process of fulfilling the rights of children as victims in these crimes does not yet have adequate aspects of justice for children. The existing criminal law instruments are only oriented towards punishment and deterrence of perpetrators of sexual crimes. Kekerasan seksual terhadap anak menjadi salah satu tindak pidana yang perlu mendapatkan perhatian serius. Pada tindak pidana ini, anak sebagai korban seringkali tidak mendapatkan perlindungan hukum dan pemenuhan hak-haknya sebagai korban secara memadai. Studi ini bertujuan untuk menganalisis kejahatan seksual anak dalam konteks viktimologi dan perlindungan korban. Studi ini menggunakan pendekatan studi hukum normatif dengan menganalisis aturan perundang-undangan yang berlaku serta kajian kepustakaan berkaitan dengan perlindungan anak sebagai korban kejahatan seksual. Studi ini membuktikan dan menegaskan bahwa perlindungan anak dalam kasus kejahatan seksual telah dijamin secara yuridis melalui Undang-Undang Perlindungan Saksi dan Korban, Undang-Undang Perlindungan Anak, dan Undang-Undang Hak Asasi Manusia. Namun demikian proses pemenuhan hak-hak anak sebagai korban dalam tindak pidana tersebut belum memiliki aspek keadilan yang memadai bagi anak. Instrumen hukum pidana yang ada hanya berorientasi terhadap pemidanaan dan penjeraan terhadap pelaku kejahatan seksual.