bluuebunny/crossref_metadata_2025_split huggingface dataset:
Liposomal irinotecan (HR070803) in combination with 5-fluorouracil and leucovorin in patients with advanced solid tumors: a phase 1b dose-escalation and expansion study
Authors: Ji Dongmei , Shen Weina , Li Ting , Wang Huan , Bai Jianling , Cao Junning , Hu Xichun 
Published: July 2024

Abstract
This phase 1b study aimed to evaluate the dose-limiting toxicity (DLT), maximum tolerated dose (MTD), pharmacokinetics, and preliminary efficacy of HR070803, a novel nanoliposomal formulation of irinotecan, in combination with 5-fluorouracil and leucovorin in patients with pretreated advanced solid tumors. This study consisted of dose-escalation and expansion stages. Dose escalation was performed with a traditional 3 + 3 design; patients received intravenous infusion of HR070803 from 60 to 80 mg/m2, followed by leucovorin (200 mg/m2) and 5-fluorouracil (2000 mg/m2) every 2 weeks. In the expansion stage, patients received treatments at selected tolerable dose. Fifteen patients received treatments at 60 mg/m2 (n = 12) and 80 mg/m2 (n = 3). DLTs occurred in 2 patients at 80 mg/m2 (grade 2 neutropenia that resulted in a dose delay of ≥ 7 days, n = 1; grade 3 febrile neutropenia, n = 1). The MTD was determined to be 60 mg/m2. The most frequent HR070803related adverse events included anorexia, leukopenia, neutropenia, nausea, fatigue, and diarrhea. SN-38, the active metabolite of irinotecan, exhibited lower maximum plasma concentrations and a prolonged terminal half-life when irinotecan was administered via nanoliposome compared to conventional injection. Overall, 4 patients achieved a partial response (confirmed, n = 2), and 9 had stable disease. The MTD of HR070803 was 60 mg/m2 when infused with 5-fluorouracil and leucovorin. Nanoliposomal encapsulation modified the pharmacokinetics of irinotecan and SN-38. HR070803 with 5-fluorouracil and leucovorin demonstrated a manageable safety profile and promising antitumor efficacy in advanced solid tumors.

Trial registration
Clinicaltrials.gov, NCT05086848. Retrospectively registered on Oct. 12, 2021.
Comparison of clinical outcomes of a corneal wavefront- and topography-guided platforms for laser in situ keratomileusis on virgin eyes: an expanded cohort study
Authors: Li Li , Xiong Lu , Wang Zheng 
Published: July 2024

Abstract
Purpose
To compare the clinical outcomes of myopiacorrected with corneal-wavefront-guided (CWG) laser in situ keratomileusis (LASIK) with AMARIS 1050S (SCHWIND eye-tech-solutions GmbH & Co. KG) and corneal-topography-guided (CTG) LASIK with WaveLight EX500 (Alcon Laboratories, Fort Worth, TX).

Methods
In this prospective, pseudo-randomized expanded cohort study, a total of 266 patients were subjected to binocular LASIK surgery, either with WaveLight EX500 (WaveLight group) or Amaris 1050S (AMARIS group) platforms. Data related to right eyes were selected for analysis. Corneal higher-order aberration (HOA) was selected as the primary endpoint; while visual acuity and refraction were the secondary endpoints. All the endpoints were assessed at 3 months postoperatively.

Results
There were 134 eyes in the AMARIS group and 132 eyes in the WaveLight group. After 3 months of postoperative follow-up, spherical and coma aberrations were significantly lower (P < 0.05) in the WaveLight group (spherical aberration: − 0.104 ± 0.199 µm; coma aberration: − 0.117 ± 0.202 µm) in comparison with the AMARIS group (spherical aberrations: 0.254 ± 0.146 µm; coma aberrations: 0.316 ± 0.297 µm). In the AMARIS group, 96.3% of the eyes achieved an uncorrected distance visual acuity (UDVA) of 20/20 while in the WaveLight group, 96.2% of the eyes achieved an UDVA of 20/20. Furthermore, the mean postoperative manifest refraction spherical equivalent (MRSE) was − 0.02 ± 0.28 in the AMARIS group and − 0.05 ± 0.21 in the WaveLight group (P = 0.34).

Conclusions
Both WaveLight EX500 and Amaris 1050S LASIK showed excellent refractive and visual outcomes. In addition, the WaveLight group showed minimal spherical and coma aberrations when compared to the AMARIS group.
Predicting sit-to-stand motions with a deep reinforcement learning based controller under idealized exoskeleton assistance
Authors: Ratnakumar Neethan , Akbaş Kübra , Jones Rachel , You Zihang , Zhou Xianlian 
Published: July 2024

AbstractMaintaining the capacity for sit-to-stand transitions is paramount for preserving functional independence and overall mobility in older adults and individuals with musculoskeletal conditions. Lower limb exoskeletons have the potential to play a significant role in supporting this crucial ability. In this investigation, a deep reinforcement learning (DRL) based sit-to-stand (STS) controller is developed to study the biomechanics of STS under both exoskeleton assisted and unassisted scenarios. Three distinct conditions are explored: 1) Hip joint assistance (H-Exo), 2) Knee joint assistance (K-Exo), and 3) Hip-knee joint assistance (H+K-Exo). By utilizing a generic musculoskeletal model, the STS joint trajectories generated under these scenarios align with unassisted experimental observations. We observe substantial reductions in muscle activations during the STS cycle, with an average decrease of 68.63% and 73.23% in the primary hip extensor (gluteus maximus) and primary knee extensor (vasti) muscle activations, respectively, under H+K-Exo assistance compared to the unassisted STS scenario. However, the H-Exo and K-Exo scenarios reveal unexpected increases in muscle activations in the hamstring and gastrocnemius muscles, potentially indicating a compensatory mechanism for stability. In contrast, the combined H+K-Exo assistance demonstrates a noticeable reduction in the activation of these muscles. These findings underscore the potential of sit-to-stand assistance, particularly in the combined hip-knee exoskeleton scenario, and contribute valuable insights for the development of robust DRL-based controllers for assistive devices to improve functional outcomes.
The Impact of HCl on Alkali-Induced Corrosion of Stainless Steels/FeCrAl Alloy at 600 °C: The Story After Breakaway
Authors: Ssenteza Vicent , Jonsson Torbjörn , Nockert Johanna , Liske Jesper 
Published: July 2024

AbstractThe impact of Cl on alkali-induced high-temperature corrosion of stainless steels/FeCrAl alloys after breakaway oxidation was investigated in a simulated biomass- and waste-fired boiler environment at 600 °C. For this investigation, three alloys were exposed to low Cl load environment (H2O+KCl) and to high Cl load (H2O+KCl+HCl). Post-exposure analysis showed that the stainless steel SVM12 experiences fast oxidation and forms thick double-layered Fe-rich oxide scales. The corrosion attack is further accelerated with addition of HCl for this material with the effect being more pronounced in the inward-growing scale. The FeCrAl and FeCrNi alloys exhibit slower oxidation kinetics after the breakaway corrosion compared to SVM12 in the H2O+KCl exposure. Furthermore, in contrast with SVM12, the addition of HCl did not accelerate the corrosion attack on these alloys. It is argued that the properties of the secondary oxide layer formed after breakaway corrosion are important in the continued corrosion resistance against chlorine-induced corrosion attack. Especially, the Cr content in the inner scales is suggested to be important in corrosion mitigation.
“A dim recognition.” Religion as a font of psychological innovation
Authors: Mazur Lucas B. 
Published: July 2024

Abstract While religion constituted one of the main topics of interest for early social scientists, faith traditions have silently slipped from this central role. When religion now appears in psychological research, it is usually relegated to the position of either the object of psychological investigation (which psychology purports to “explain”) or a static piece in the empirical puzzle (as one variable among many when explaining clinical or social outcomes). In either case, religion is generally no longer seen as an equal partner to the social sciences in our attempts to better understand of the human condition. However, there are and have been voices within psychology that see this as unnecessarily myopic. James Jackson Putnam (1846–1918), an early supporter of the emerging field of psychoanalysis, advocated that psychology take seriously philosophy, metaphysics, and religion. Putnam’s objections to the narrowing of our view of human life in the spirit of scientism fell largely on deaf ears, and his call for psychology to include that which lies beyond the walls of empirical naturalism and reductionism remains relevant today. In as far as theoretical innovation in psychology is more of a creative recognition than true scientific discovery, philosophy and religion constitute tremendously rich, and unfortunately underappreciated, fonts of inspiration. Putnam saw in religion the “dim recognition” of “the creative spirit of the universe.” We briefly reflect on the example of obsessive–compulsive disorder and the much older religious concept of scruples, including approaches to mindfulness. This example is suggestive of the richness of psychological insights to be found in religion.
C-phycocyanin reinforces autophagy to block pulmonary fibrogenesis by inhibiting lncIAPF biogenesis
Authors: Hu Wenjie , Wang Yujie , Yang Huiling , Zhang Leiming , Liu Bo , Ji Yunxia , Song Xiaodong , Lv Changjun , Zhang Songzi 
Published: July 2024

AbstractPulmonary fibrosis is a chronic and irreversible progressive lung disease caused by various factors, such as age and environmental pollution. With countries stepping into an aging society and the seriousness of environmental pollution caused by global industrialization, the incidence of pulmonary fibrosis is annually increasing. However, no effective drug is available for pulmonary fibrosis treatment. C-phycocyanin (C-PC), extracted from blue-green algae, has good water solubility and antioxidation. This study elucidated that C-PC reinforces autophagy to block pulmonary fibrogenesis by inhibiting long noncoding RNA (lncRNA) biogenesis in vivo and in vitro. Cleavage under targets and release using nuclease (CUT & RUN)-PCR, co-immunoprecipitation (Co-IP), and nuclear–cytoplasmic separation experiments clarified that C-PC blocked the nuclear translocation of activating transcription factor 3 (ATF3) to prevent the binding between ATF3 and transcription factor Smad3, thereby hindering lncIAPF transcription. Human antigen R (HuR) truncation experiment and RNA binding protein immunoprecipitation (RIP) were then performed to identify the binding domain with lncIAPF in the 244–322 aa of HuR. lncIAPF exerted its profibrogenic function through the binding protein HuR, a negative regulator of autophagy. In summary, C-PC promoted autophagy via down-regulating the lncIAPF–HuR-mediated signal pathway to alleviate pulmonary fibrosis, showing its potential as a drug for treating pulmonary fibrosis. Exploring how C-PC interacts with biological molecules will help us understand the mechanism of this drug and provide valuable target genes to design new drugs.
Cardiogenic shock in takotsubo syndrome: etiology and treatment
Authors: Kato Ken , Di Vece Davide , Kitagawa Mari , Yamamoto Kayo , Aoki Shuhei , Goto Hiroki , Kitahara Hideki , Kobayashi Yoshio , Templin Christian 
Published: July 2024

AbstractTakotsubo syndrome (TTS) can mimic acute coronary syndrome despite being a distinct disease. While typically benign, TTS can lead to serious complications like cardiogenic shock. Cardiogenic shock occurs in 1–20% of TTS cases. Various mechanisms can cause shock, including pump failure, right ventricular involvement, left ventricular outflow tract obstruction, and acute mitral regurgitation. Because treatment depends on the mechanism, early identification of the mechanism developing cardiogenic shock is essential for optimal treatment and improved outcomes in TTS patients with cardiogenic shock. This review summarizes current knowledge on causes and treatment of cardiogenic shock in patients with TTS.
Exposure to Synthetic Endocrine-Disrupting Chemicals in Relation to Maternal and Fetal Sex Steroid Hormones: A Scoping Review
Authors: Hansel Megan C. , Rosenberg Abigail M. , Kinkade Carolyn W. , Capurro Camila , Rivera-Núñez Zorimar , Barrett Emily S. 
Published: July 2024

Abstract
Purpose of Review
Many synthetic endocrine-disrupting chemicals (EDCs) are ubiquitous in the environment and highly detected among pregnant people. These chemicals may disrupt maternal and/or fetal sex steroid hormones, which are critical to pregnancy maintenance and fetal development. Here, we review the epidemiological literature examining prenatal exposure to common synthetic EDCs in relation to maternal and fetal sex steroid hormones.

Recent Findings
We performed a literature search using PubMed, SCOPUS, and Embase, ultimately identifying 29 articles for full review. Phenols, parabens, and persistent organic pollutants generally showed inverse associations with androgens, estrogens, and progesterone. Phthalates and per-and polyfluoroalkyl substances tended to be inversely associated with progesterone, while evidence regarding androgens and estrogens was mixed. Inconsistent, but noteworthy, differences by fetal sex and timing of exposure/outcome were observed.

Summary
Overall, the literature suggests EDCs may disrupt maternal and fetal sex steroid activity, though findings are mixed. Given the pervasive, high-volume production of these synthetic chemicals and the critical functions sex steroid hormones play during gestation, additional research is warranted.
Effect of moisture content in polyether-ether-ketone (PEEK) filament on 3D printed parts
Authors: Wang Zezheng , Chen Xiangxin , Chen Xiaolei , Liang Junjie , Zeng Da , Gan Yiliang 
Published: July 2024

AbstractPolyether-ether-ketone (PEEK) is a recently commonly used high-performance thermoplastic material with high heat resistance, high chemical resistance, high water resistance, and high wear resistance. Polyether-ether-ketone products with complex structures manufactured through the 3D printing process of fused filament fabrication (FFF) are emerging in the medical field. However, similar to other plastics, PEEK materials are also hygroscopic. This may have an impact on 3D printed products. The effect of storage time of filament on 3D printed PEEK products under specific temperature and humidity conditions has not been further explored. This study is mainly to explore the moisture absorption of PEEK filament for different storage time and the effect of moisture absorption on the performance of 3D printed PEEK products. The correlation between storage time and moisture absorption is verified by experiment. It is found that moisture will affect the surface quality of PEEK products. In addition, the mechanical test results show that the increase in the amount of water absorbed leads to the decrease of material properties, such as tensile strength, density, and hardness. Therefore, it is recommended to store unused or leftover PEEK filaments under vacuum drying conditions. For PEEK filaments that are being printed, it should be ensured to replace them every less than 24 h.
Multi-class Breast Cancer Classification Using CNN Features Hybridization
Authors: Chakravarthy Sannasi , Bharanidharan N. , Khan Surbhi Bhatia , Kumar V. Vinoth , Mahesh T. R. , Almusharraf Ahlam , Albalawi Eid 
Published: July 2024

AbstractBreast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (CAD) for earlier breast cancer classification. Meanwhile, the design of CAD tools using deep learning is becoming popular and robust in biomedical classification systems. However, deep learning gives inadequate performance when used for multilabel classification problems, especially if the dataset has an uneven distribution of output targets. And this problem is prevalent in publicly available breast cancer datasets. To overcome this, the paper integrates the learning and discrimination ability of multiple convolution neural networks such as VGG16, VGG19, ResNet50, and DenseNet121 architectures for breast cancer classification. Accordingly, the approach of fusion of hybrid deep features (FHDF) is proposed to capture more potential information and attain improved classification performance. This way, the research utilizes digital mammogram images for earlier breast tumor detection. The proposed approach is evaluated on three public breast cancer datasets: mammographic image analysis society (MIAS), curated breast imaging subset of digital database for screening mammography (CBIS-DDSM), and INbreast databases. The attained results are then compared with base convolutional neural networks (CNN) architectures and the late fusion approach. For MIAS, CBIS-DDSM, and INbreast datasets, the proposed FHDF approach provides maximum performance of 98.706%, 97.734%, and 98.834% of accuracy in classifying three classes of breast cancer severities.
CLESR: Context-Based Label Knowledge Enhanced Span Recognition for Named Entity Recognition
Authors: Chen Xi , Zhang Wei , Pan Shuai 
Published: July 2024

AbstractNamed entity recognition (NER) stands as a pivotal task in natural language processing, bearing profound implications for diverse downstream applications. Recent scholarship underscores the substantial performance gains attainable by integrating label knowledge into token representations, effectively treating named entity recognition as a machine reading comprehension task. Nevertheless, extant methodologies often inadequately leverage the potential of label knowledge. In response to this limitation, we introduce the Context-based Label Knowledge Enhanced Span Recognition (CLESR) architecture, designed to augment label knowledge through the assimilation of contextual information. We formulate an annotation paradigm tailored to nested scenarios, concurrently training external context-based label knowledge using conventional word association learning algorithms. The ensuing context-based label knowledge is seamlessly integrated into the model via a dedicated label attention module, thereby fortifying label learning capabilities during training. To adeptly manage both flat and nested entities, we implement a global pointer as our decoding strategy, enabling direct predictions of the positions and corresponding categories of named entities. Rigorous experimentation across six widely recognized benchmarks substantiates the efficacy of CLESR in both flat and nested tasks. Impressively, our model achieves performance enhancements surpassing those of the baseline BERT-MRC model, with gains of + 0.29%, + 0.77%, + 0.39%, + 1.9%, and + 0.47% on English CoNLL2003, English OntoNotes 4.0, Chinese MSRA, English ACE2004, and English ACE2005, respectively.
Epidemiological Insights into Autoimmune Bullous Diseases in China: A Comprehensive Analysis
Authors: Chen Zihua , Wang Lanting , Ma Li , Yang Fanping , Chen Shengan , Yang Jin , Gao Haiqing , Tang Chang , Zhao Ying , Zhang Zhen , Tang Lin , Xue Haiyu , Ying Jian , Xu Yu , Zhang Wenhong , Shao Lingyun , Liu Hanqiu , Luo Xiaoqun 
Published: July 2024

Abstract
Objective
This study aims to conduct an extensive analysis of autoimmune bullous diseases, particularly pemphigus vulgaris and bullous pemphigoid, in Shanghai, China, from 2016 to 2023. It seeks to understand the demographic profiles, comorbidities, mortality rates, risk factors, and socioeconomic impacts associated with autoimmune bullous disease.

Methods
A cross-sectional study design was employed, enrolling 1,072 patients. Diagnostic measures included clinical manifestations, histopathology, direct immunofluorescence, and serologic tests. The study also involved a detailed socioeconomic analysis and evaluation of occupational risks.

Results
The findings highlight a significant occupational risk in industries requiring enhanced safety measures, with a notable prevalence of autoimmune bullous disease among workers in these sectors. A considerable portion of the patients were from low-income backgrounds with limited literacy, indicating the economic burden of autoimmune bullous disease. A key discovery of the study is the potential pathological link between autoimmune bullous disease and interstitial lung disease.

Conclusion
This research, one of the first comprehensive studies on autoimmune bullous disease in China, underscores the need for targeted healthcare strategies and further investigation into autoimmune bullous disease, particularly its relationship with interstitial lung disease.
The work-lives of Canadian Registered Dietitians during the COVID-19 pandemic: a descriptive analysis of survey data
Authors: Hewko Sarah J. , Freeburn Julia 
Published: July 2024

Abstract
Background
Healthcare workers experienced significant disruptions to both their personal and professional lives throughout the COVID-19 pandemic. How healthcare workers were impacted varied, depending on area of specialization, work setting, and factors such as gender. Dietetics is a female-dominated profession and the differential impact on women of the COVID-19 pandemic has been widely reported. While researchers have explored Registered Dietitians’ (RDs) experiences during the pandemic, none have looked explicitly at their experiences of redeployment. The objectives of this study were to better understand: (i) the impact of COVID-19 (and related redeployments) on the work-lives of RDs, (ii) what types of COVID-19 related supports and training were made available to these RDs, and (iii) the impact of RD redeployment on access to RD services.

Methods
An online survey was administered in June 2022. Any RD that that was publicly-employed in Canada during the pandemic was eligible to participate. The survey included questions related to respondent demographics, professional details, redeployment and training. We conducted descriptive analyses on the quantitative data.

Results
The survey was completed by 205 eligible RDs. There were notable differences between public health and clinical RDs’ redeployment experiences. Only 17% of clinical RDs had been redeployed, compared to 88% of public health RDs. Public health RDs were redeployed for longer and were more likely to be redeployed to roles that did not required RD-specific knowledge or skills. The most commonly reported mandatory training was for proper use of personal protective equipment. The most commonly reported reasons for a lengthy absence from work were anxiety about contracting COVID-19, school closures and limited child care availability.

Conclusions
Public health RDs are at the forefront of campaigns to reduce the burden of chronic disease, improve health equity and enhance the sustainability of food systems. Close to 90% of these RDs were redeployed, with many seeing their typical work undone for many months. More research is needed to quantify the consequences of going without a public health nutrition workforce for an extended period of time and to understand the differential impact gender may have had on work experiences during the pandemic.