bluuebunny/crossref_metadata_2025_split huggingface dataset:
Erythropoiesis-stimulating agents—benefits and harms in the treatment of anemia in cancer patients
Authors: Heregger Ronald , Greil Richard 
Published: August 2023

SummaryAnemia is a common finding in patients with solid or hematological malignancies. The underlying causes of cancer-related anemia can be multifactorial, including toxicity of cancer therapy, raised inflammatory conditions by the cancer, chronic bleeding and malnutrition. Therapeutic approaches for the treatment of chemotherapy induced anemia encompass red blood cell (RBC) transfusions and erythropoietin-stimulating agents (ESAs). The latter are approved for the treatment of patients with symptomatic anemia caused by palliative chemotherapy to reduce the number of RBC transfusions and gradually improve anemia-related symptoms. Before the treatment with ESA, a baseline Hb level < 10 g/dl is mandatory and iron deficiency must be ruled out. ESAs are linked to an increase in thromboembolic events and potentially raised mortality. Therefore, the risk-benefit ratio should be carefully assessed.
Studies and design considerations for animated transitions between small-scale visualizations
Authors: Huth Franziska , Blascheck Tanja , Koch Steffen , Ertl Thomas 
Published: August 2023

Abstract
Small-scale visualizations can augment text, show information on mobile devices, or geographical information on a map. In such situations, there is often not enough space to show complex data with approaches like juxtaposed visualizations. To alleviate this issue, we propose the use of animated transitions between several small-scale visualizations. We discuss design considerations for animated transitions between small-scale visualizations and differences to normal-sized visualizations. Further, we present the results of two online studies on the effectiveness of those animated transitions to convey information and attribute relations, as well as the mental load of following the animated transitions. As a result, we found that animated transitions between visualizations are understandable in small scale, but performance depends on the specific task and the type of operation carried out with the animated transition.

Graphical abstract
Heuristic techniques for maximum likelihood localization of radioactive sources via a sensor network
Authors: Abdelhakim Assem 
Published: August 2023

AbstractMaximum likelihood estimation (MLE) is an effective method for localizing radioactive sources in a given area. However, it requires an exhaustive search for parameter estimation, which is time-consuming. In this study, heuristic techniques were employed to search for radiation source parameters that provide the maximum likelihood by using a network of sensors. Hence, the time consumption of MLE would be effectively reduced. First, the radiation source was detected using the k-sigma method. Subsequently, the MLE was applied for parameter estimation using the readings and positions of the detectors that have detected the radiation source. A comparative study was performed in which the estimation accuracy and time consumption of the MLE were evaluated for traditional methods and heuristic techniques. The traditional MLE was performed via a grid search method using fixed and multiple resolutions. Additionally, four commonly used heuristic algorithms were applied: the firefly algorithm (FFA), particle swarm optimization (PSO), ant colony optimization (ACO), and artificial bee colony (ABC). The experiment was conducted using real data collected by the Low Scatter Irradiator facility at the Savannah River National Laboratory as part of the Intelligent Radiation Sensing System program. The comparative study showed that the estimation time was 3.27 s using fixed resolution MLE and 0.59 s using multi-resolution MLE. The time consumption for the heuristic-based MLE was 0.75, 0.03, 0.02, and 0.059 s for FFA, PSO, ACO, and ABC, respectively. The location estimation error was approximately 0.4 m using either the grid search-based MLE or the heuristic-based MLE. Hence, heuristic-based MLE can provide comparable estimation accuracy through a less time-consuming process than traditional MLE.
A Novel Approach to Predicting Early Pregnancy Outcomes Dynamically in a Prospective Cohort Using Repeated Ultrasound and Serum Biomarkers
Authors: Petersen Jesper Friis , Friis-Hansen Lennart Jan , Bryndorf Thue , Jensen Andreas Kryger , Andersen Anders Nyboe , Løkkegaard Ellen 
Published: August 2023

AbstractThis study aimed to develop a dynamic model for predicting outcome during the first trimester of pregnancy using baseline demographic data and serially collected blood samples and transvaginal sonographies. A prospective cohort of 203 unselected women with an assumed healthy pregnancy of < 8 weeks’ gestation was followed fortnightly from 4–14 weeks’ gestation until either miscarriage or confirmed first trimester viability. The main outcome was development of a model to predict outcome from gestational age-dependent hazard ratios using both baseline and updated serial data from each visit. Secondary outcomes were descriptions of risk factors for miscarriage. The results showed that 18% of the women experienced miscarriages. A fetal heart rate detected before 8 weeks’ gestation indicated a 90% (95% CI 85–95%) chance of subsequent delivery. Maternal age (≥ 35 years), insufficient crown-rump-length (CRL) and mean gestational sac diameter (MSD) development, and presence of bleeding increased the risk of miscarriage. Serum biomarkers, including hCG, progesterone, and estradiol, were found to impact the risk of miscarriage with estradiol as the most important. The best model to predict miscarriage was a combination of maternal age, vaginal bleeding, CRL, and hCG. The second-best model was the sonography-absent model of maternal age, bleeding, hCG, and estradiol. This study suggests that combining maternal age, and evolving data from hCG, estradiol, CRL, and bleeding could be used to predict fetal outcome during the first trimester of pregnancy.Trial registration ClinicalTrials.gov identifier: NCT02761772.
Range of surgical strategies for individual adolescent idiopathic scoliosis cases: evaluation of a multi-centre survey
Authors: Schlager Benedikt , Großkinsky Maresa , Ruf Michael , Wiedenhöfer Bernd , Akbar Michael , Wilke Hans-Joachim 
Published: August 2023

Abstract
Purpose
Surgical treatment of adolescent idiopathic scoliosis (AIS) is very complex, involves many critical decisions and modern instrumentation techniques, and offers multiple possibilities. It is known that the surgical strategy may vary strongly between surgeons for AIS cases. The goal of this study was to document, summarize, and analyse the current biomechanical relevant variabilities in the surgical treatments of individual AIS patient cases.

Methods
Eight experienced scoliosis surgeons from different hospitals were asked to plan surgeries on 12 representative patients with AIS. The surgeons were provided with radiographs during upright standing in the coronal and sagittal plane, as well as lateral bending images to the left and right. The surgeons were asked to specify the Lenke type, their surgical approach, the resection steps, the planned fusion length, and the type of implants. The data were analysed with respect to the inter-rater variability, which was quantified using the Fleiss Kappa method.

Results
In the selection of the surgical approach, the surgeons concurred most with Lenke curve types 2 (κ = 0.88) and 4 (κ = 0.75). The largest differences were shown at Lenke 1 (κ = 0.39) and 5 (κ = 0.32). Anterior approaches were selected in the majority of cases at Lenke types 5, with an average of 50%. The strongest deviation in fusion length was documented at Lenke curve type 6.

Conclusion
The survey highlighted differences in the surgical strategy depending on the Lenke curve type, the direction of the surgical approach, and the surgeon. The main discrepancies between the surgeons were found for Lenke 1, 5, and 6 curves, and consistencies for Lenke 2, 3, and 4. The documented discrepancies indicate the remaining open questions in the surgical treatment and understanding of scoliosis biomechanics.
Cancer Burden Variations and Convergences in Globalization: A Comparative Study on the Tracheal, Bronchus, and Lung (TBL) and Liver Cancer Burdens Among WHO Regions from 1990 to 2019
Authors: Zhang Mengwei , Jin Weiqiu , Tian Yu , Zhu Hongda , Zou Ningyuan , Jia Yunxuan , Jiang Long , Huang Jia , Hu Yingjie , Luo Qingquan 
Published: August 2023

AbstractLung cancer and liver cancer are the leading and third causes of cancer death, respectively. Both lung and liver cancer are with clear major risk factors. A thorough understanding of their burdens in the context of globalization, especially the convergences and variations among WHO regions, is useful in precision cancer prevention worldwide and understanding the changing epidemiological trends with the expanding globalization. The Global Burden of Disease (GBD) and WHO Global Health Observatory (GHO) database were analyzed to evaluate the burden metrics and risk factors of trachea, bronchus, and lung (TBL) cancer and liver cancer. Western Pacific Region (WPR) had the highest age-standardized incidence rate (ASIR) for both liver cancer (11.02 [9.62–12.61] per 100,000 population) and TBL cancer (38.82 [33.63–44.04] per 100,000 population) in 2019. Disability-adjusted life years (DALYs) for liver and TBL cancer elevated with the increasing sociodemographic index (SDI) level, except for liver cancer in WPR and TBL cancer in European Region (EUR). Region of the Americas (AMR) showed the biggest upward trends of liver cancer age-standardized rates (ASRs), as well as the biggest downward trends of TBL cancer ASRs, followed by Eastern Mediterranean Region (EMR). Alcohol use and smoking were the leading cause of liver and TBL cancer death in most WHO regions. Variances of ASRs for liver and TBL cancer among WHO memberships have been decreasing during the past decade. The homogenization and convergence of cancer burdens were also demonstrated in different agegroups and sexes and in the evolution of associated risk factors and etiology. In conclusion, our study reflects the variations and convergences in the liver and lung cancer burdens among the WHO regions with the developing globalization, which suggests that we need to be acutely aware of the global homogeneity of the disease burden that accompanies increasing globalization, including the global convergences in various populations, risk factors, and burden metrics.
Graphical Abstract
Callisto's Atmosphere: The Oxygen Enigma
Authors: Carberry Mogan Shane R. , Liuzzo Lucas , Poppe Andrew R. , Simon Sven , Szalay Jamey R. , Tucker Orenthal J. , Johnson Robert E. 
Published: August 2023

AbstractObservations of Callisto's atmosphere have indicated an O2 component should exist, but the evolution from its initial source to its inferred steady‐state abundance is not well understood. Herein we constrain the production of O2 via radiolysis within Callisto's exposed ice patches and determine the corresponding O2 column density. To do so, for the first time we simulate the thermal and energetic components of the Jovian magnetospheric plasma irradiating Callisto's atmosphere and estimate energy deposited therein by the impinging charged particles along their trajectories to the surface. We then calculate O2 source fluxes corresponding to the energy of the impacting plasma fluxes, which is coupled with estimated atmospheric lifetimes to determine the steady‐state abundance of O2. Our results suggest that production of O2 via radiolysis within the exposed ice on Callisto's surface does not produce a sufficiently dense atmosphere relative to the column densities inferred from observations by about 2–3 orders of magnitude. To resolve this discrepancy between estimated and observed abundances, we provide the first estimates for other potential sources of atmospheric O2. We also make similar estimates for the production of H2 in Callisto's atmosphere relative to constraints provided in the literature, and the conclusion is the same: a sufficiently dense atmosphere is not produced. Thus, we have shown that a better understanding of the production and fate of radiolytic products in Callisto's regolith is required in order to place firmer constraints on the generation mechanisms of its atmosphere in preparation for future observations.
Denitrification Losses in Response to N Fertilizer Rates—Integrating High Temporal Resolution N2O, In Situ 15N2O and 15N2 Measurements and Fertilizer 15N Recoveries in Intensive Sugarcane Systems
Authors: Takeda Naoya , Friedl Johannes , Kirkby Robert , Rowlings David , Scheer Clemens , De Rosa Daniele , Grace Peter 
Published: August 2023

AbstractDenitrification is a key process in the global nitrogen (N) cycle, causing both nitrous oxide (N2O) and dinitrogen (N2) emissions. However, estimates of seasonal denitrification losses (N2O + N2) are scarce, reflecting methodological difficulties in measuring soil‐borne N2 emissions against the high atmospheric N2 background and challenges regarding their spatio‐temporal upscaling. This study investigated N2O + N2 losses in response to N fertilizer rates (0, 100, 150, 200, and 250 kg N ha−1) on two intensively managed tropical sugarcane farms in Australia, by combining automated N2O monitoring, in situ N2 and N2O measurements using the 15N gas flux method and fertilizer 15N recoveries at harvest. Dynamic changes in the N2O/(N2O + N2) ratio (<0.01 to 0.768) were explained by fitting generalized additive mixed models (GAMMs) with soil factors to upscale high temporal‐resolution N2O data to daily N2 emissions over the season. Cumulative N2O + N2 losses ranged from 12 to 87 kg N ha−1, increasing non‐linearly with increasing N fertilizer rates. Emissions of N2O + N2 accounted for 31%–78% of fertilizer 15N losses and were dominated by environmentally benign N2 emissions. The contribution of denitrification to N fertilizer loss decreased with increasing N rates, suggesting increasing significance of other N loss pathways including leaching and runoff at higher N rates. This study delivers a blueprint approach to extrapolate denitrification measurements at both temporal and spatial scales, which can be applied in fertilized agroecosystems. Robust estimates of denitrification losses determined using this method will help to improve cropping system modeling approaches, advancing our understanding of the N cycle across scales.
Spin-orbit Rabi oscillations in optically synthesized magnetic fields
Authors: Liu Guohua , Zhang Xiliang , Zhang Xin , Hu Yanwen , Li Zhen , Chen Zhenqiang , Fu Shenhe 
Published: August 2023

AbstractRabi oscillation has been proven to be one of the cornerstones of quantum mechanics, triggering substantial investigations in different disciplines and various important applications both in the classical and quantum regimes. So far, two independent classes of wave states in the Rabi oscillations have been revealed as spin waves and orbital waves, while a Rabi wave state simultaneously merging the spin and orbital angular momentum has remained elusive. Here we report on the experimental and theoretical observation and control of spin–orbit-coupled Rabi oscillations in the higher-order regime of light. We constitute a pseudo spin-1/2 formalism and optically synthesize a magnetization vector through light-crystal interaction. We observe simultaneous oscillations of these ingredients in weak and strong coupling regimes, which are effectively controlled by a beam-dependent synthetic magnetic field. We introduce an electrically tunable platform, allowing fine control of transition between different oscillatory modes, resulting in an emission of orbital-angular-momentum beams with tunable topological structures. Our results constitute a general framework to explore spin–orbit couplings in the higher-order regime, offering routes to manipulating the spin and orbital angular momentum in three and four dimensions. The close analogy with the Pauli equation in quantum mechanics, nonlinear optics, etc., implies that the demonstrated concept can be readily generalized to different disciplines.
Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends
Authors: Sun Qian , Hong Zhenya , Zhang Cong , Wang Liangliang , Han Zhiqiang , Ma Ding 
Published: August 2023

AbstractImmune-checkpoint inhibitors (ICBs), in addition to targeting CTLA-4, PD-1, and PD-L1, novel targeting LAG-3 drugs have also been approved in clinical application. With the widespread use of the drug, we must deeply analyze the dilemma of the agents and seek a breakthrough in the treatment prospect. Over the past decades, these agents have demonstrated dramatic efficacy, especially in patients with melanoma and non-small cell lung cancer (NSCLC). Nonetheless, in the field of a broad concept of solid tumours, non-specific indications, inseparable immune response and side effects, unconfirmed progressive disease, and complex regulatory networks of immune resistance are four barriers that limit its widespread application. Fortunately, the successful clinical trials of novel ICB agents and combination therapies, the advent of the era of oncolytic virus gene editing, and the breakthrough of the technical barriers of mRNA vaccines and nano-delivery systems have made remarkable breakthroughs currently. In this review, we enumerate the mechanisms of each immune checkpoint targets, associations between ICB with tumour mutation burden, key immune regulatory or resistance signalling pathways, the specific clinical evidence of the efficacy of classical targets and new targets among different tumour types and put forward dialectical thoughts on drug safety. Finally, we discuss the importance of accurate triage of ICB based on recent advances in predictive biomarkers and diagnostic testing techniques.
Attenuated Salmonella carrying siRNA-PD-L1 and radiation combinatorial therapy induces tumor regression on HCC through T cell-mediated immuno-enhancement
Authors: Jia Huijie , Wei Pengkun , Zhou Shijie , Hu Yuanyuan , Zhang Chunjing , Liang Lirui , Li Bingqing , Gan Zerui , Xia Yuanling , Jiang Hanyu , Shao Mingguang , Guo Sheng , Yang Zishan , Zhong Jiateng , Ren Feng , Zhang Huiyong , Zhang Yongxi , Zhao Tiesuo 
Published: August 2023

AbstractHepatocellular carcinoma (HCC), the most prevalent type of aggressive liver cancer, accounts for the majority of liver cancer diagnoses and fatalities. Despite recent advancements in HCC treatment, it remains one of the deadliest cancers. Radiation therapy (RT) is among the locoregional therapy modalities employed to treat unresectable or medically inoperable HCC. However, radioresistance poses a significant challenge. It has been demonstrated that RT induced the upregulation of programmed death ligand 1 (PD-L1) on tumor cells, which may affect response to PD-1-based immunotherapy, providing a rationale for combining PD-1/PD-L1 inhibitors with radiation. Here, we utilized attenuated Salmonella as a carrier to explore whether attenuated Salmonella carrying siRNA-PD-L1 could effectively enhance the antitumor effect of radiotherapy on HCC-bearing mice. Our results showed that a combination of siRNA-PD-L1 and radiotherapy had a synergistic antitumor effect by inhibiting the expression of PD-L1 induced by radiation therapy. Mechanistic insights indicated that the combination treatment significantly suppressed tumor cell proliferation, promoted cell apoptosis, and stimulated immune cell infiltration and activation in tumor tissues. Additionally, the combination treatment increased the ratios of CD4+ T, CD8+ T, and NK cells from the spleen in tumor-bearing mice. This study presents a novel therapeutic strategy for HCC treatment, especially for patients with RT resistance.
Dynamically regulated two-site interaction of viral RNA to capture host translation initiation factor
Authors: Imai Shunsuke , Suzuki Hiroshi , Fujiyoshi Yoshinori , Shimada Ichio 
Published: August 2023

AbstractMany RNA viruses employ internal ribosome entry sites (IRESs) in their genomic RNA to commandeer the host’s translational machinery for replication. The IRES from encephalomyocarditis virus (EMCV) interacts with eukaryotic translation initiation factor 4 G (eIF4G), recruiting the ribosomal subunit for translation. Here, we analyze the three-dimensional structure of the complex composed of EMCV IRES, the HEAT1 domain fragment of eIF4G, and eIF4A, by cryo-electron microscopy. Two distinct eIF4G-interacting domains on the IRES are identified, and complex formation changes the angle therebetween. Further, we explore the dynamics of these domains by using solution NMR spectroscopy, revealing conformational equilibria in the microsecond to millisecond timescale. In the lowly-populated conformations, the base-pairing register of one domain is shifted with the structural transition of the three-way junction, as in the complex structure. Our study provides insights into the viral RNA’s sophisticated strategy for optimal docking to hijack the host protein.
DNAJA2 deficiency activates cGAS-STING pathway via the induction of aberrant mitosis and chromosome instability
Authors: Huang Yaping , Lu Changzheng , Wang Hanzhi , Gu Liya , Fu Yang-Xin , Li Guo-Min 
Published: August 2023

AbstractMolecular chaperone HSP70s are attractive targets for cancer therapy, but their substrate broadness and functional non-specificity have limited their role in therapeutical success. Functioning as HSP70’s cochaperones, HSP40s determine the client specificity of HSP70s, and could be better targets for cancer therapy. Here we show that tumors defective in HSP40 member DNAJA2 are benefitted from immune-checkpoint blockade (ICB) therapy. Mechanistically, DNAJA2 maintains centrosome homeostasis by timely degrading key centriolar satellite proteins PCM1 and CEP290 via HSC70 chaperone-mediated autophagy (CMA). Tumor cells depleted of DNAJA2 or CMA factor LAMP2A exhibit elevated levels of centriolar satellite proteins, which causes aberrant mitosis characterized by abnormal spindles, chromosome missegregation and micronuclei formation. This activates the cGAS-STING pathway to enhance ICB therapy response in tumors derived from DNAJA2-deficient cells. Our study reveals a role for DNAJA2 to regulate mitotic division and chromosome stability and suggests DNAJA2 as a potential target to enhance cancer immunotherapy, thereby providing strategies to advance HSPs-based cancer therapy.
Tuning electron delocalization of hydrogen-bonded organic framework cathode for high-performance zinc-organic batteries
Authors: Li Wenda , Xu Hengyue , Zhang Hongyi , Wei Facai , Huang Lingyan , Ke Shanzhe , Fu Jianwei , Jing Chengbin , Cheng Jiangong , Liu Shaohua 
Published: August 2023

AbstractStable cathodes with multiple redox-active centres affording a high energy density, fast redox kinetics and a long life are continuous pursuits for aqueous zinc-organic batteries. Here, we achieve a high-performance zinc-organic battery by tuning the electron delocalization within a designed fully conjugated two-dimensional hydrogen-bonded organic framework as a cathode material. Notably, the intermolecular hydrogen bonds endow this framework with a transverse two-dimensional extended stacking network and structural stability, whereas the multiple C = O and C = N electroactive centres cooperatively trigger multielectron redox chemistry with super delocalization, thereby sharply boosting the redox potential, intrinsic electronic conductivity and redox kinetics. Further mechanistic investigations reveal that the fully conjugated molecular configuration enables reversible Zn2+/H+ synergistic storage accompanied by 10-electron transfer. Benefitting from the above synergistic effects, the elaborately tailored organic cathode delivers a reversible capacity of 498.6 mAh g−1 at 0.2 A g−1, good cyclability and a high energy density (355 Wh kg−1).