bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the induced effect of bedding weakness in deep shale gas reservoir on hydraulic fractures propagation
Authors: Duan Guifu , Mou Jianye , Liu Zhaoyi , Han Lingling , Cui Hanzhuo
Published: April 2024

Shale gas, as an important unconventional oil and gas resource, plays an important role in energy supply. Due to the strong mechanical heterogeneity and compactness, which requires the use of fracturing to crush the formation to obtain industrial production capacity. Therefore, it is very important to analyze shale’s mechanical properties and fracturing propagation laws. In this paper, the shale numerical model is established by adopting discrete element method (DEM). The mesoscopic constitutive parameters of shale with different matrix and bedding strength are determined based on rock samples tests. The reliability of the model is verified by finite element method. And the fracture propagation laws under the influence of shale beddings are studied. The results show that the existence of bedding fractures leads to the nonuniformity of fractures propagation in shale reservoirs. The stress difference of 5 MPa and the approach Angle of 75° are the key factors affecting the interaction between hydraulic fractures and natural fractures. As the bedding number increases, the borehole pressure increases and the total number of fractures’ propagation decreases. The results provide a theoretical basis for further understanding of fractures’ propagation in deep shale reservoirs, and have important guiding significance for optimization and improvement of fracture complexity in the subsequent construction.
Modeling the impacts of hot drought on forests in Texas
Authors: Lawal Shakirudeen , Costanza Jennifer , Koch Frank H. , Scheller Robert M.
Published: April 2024

Introduction

Under climate change, drought is increasingly affecting forest ecosystems, with subsequent consequences for ecosystem services. An historically exceptional drought in Texas during 2011 caused substantial tree mortality. We used 2004–2019 Forest Inventory and Analysis (FIA) data and state-wide weather data to examine the climatic conditions associated with this elevated tree mortality.

Methods

We measured moisture extremes (wet to dry) using the Standardized Precipitation Evapotranspiration Index (SPEI) at two timescales (12- and 36-month). We quantified heat wave severity using the Heat Wave Magnitude Index daily (HWMId) over the same period. We performed statistical modeling of the relationship between tree mortality and these indices across four Texas regions (Southeast, Northeast, North Central, and South) and for prominent tree genera (Pinus, Juniperus, Quercus, Liquidambar, Prosopis, and Ulmus) as well as selected species: Quercus stellata, Q. virginiana, and Q. nigra.

Results

The highest tree mortality was observed between 2011 and 2013. We found similarity in the trends of the 12- and 36-month SPEI, both of which exhibited more extreme negative intensities (i.e., drought) in 2011 than other years. Likewise, we found that the extreme heat experienced in 2011 was much greater than what was experienced in other years. The heat waves and drought were more intense in East (i.e., Southeast and Northeast) Texas than Central (i.e., North Central and South) Texas. In gradient boosted regression models, the 36-month SPEI had a stronger empirical relationship with tree mortality than the 12-month SPEI in all regions except South Texas, where HWMId had more influence than SPEI at either timescale. The correlations between moisture extremes, extreme heat, and tree mortality were high; typically, mortality peaked after periods of extreme moisture deficit rather than surplus, suggesting that the mortality was associated with hot drought conditions. The effects of extreme heat outweighed those of SPEI for all tree genera except oaks (Quercus). This was also true for oak species other than water oak (Q. nigra). In generalized additive models, the median trend showed tree mortality of Prosopis was higher during conditions of moderate drought (SPEI36 ∼ –1) or worse, but for Pinus and Quercus, mortality started to become apparent under mild drought conditions (SPEI36 ∼ –0.5). The impacts of extreme heat on the mortality of Juniperus occurred when heat wave magnitude reached the ultra extreme category (HWMId > 80) but occurred at lower magnitude for Liquidambar.

Discussion

In summary, we identified risks to Texas forest ecosystems from exposure to climate extremes. Similar exposure can be expected to occur more frequently under a changing climate.
The occurrence and development of induced pluripotent stem cells
Authors: Chen Yi , Li Meng , Wu Yanqing
Published: April 2024

The ectopic expression of four transcription factors, Oct3/4, Sox2, Klf4, and c-Myc (OSKM), known as “Yamanaka factors,” can reprogram or stimulate the production of induced pluripotent stem cells (iPSCs). Although OSKM is still the gold standard, there are multiple ways to reprogram cells into iPSCs. In recent years, significant progress has been made in improving the efficiency of this technology. Ten years after the first report was published, human pluripotent stem cells have gradually been applied in clinical settings, including disease modeling, cell therapy, new drug development, and cell derivation. Here, we provide a review of the discovery of iPSCs and their applications in disease and development.
Antioxidant network-based signatures cluster glioblastoma into distinct redox-resistant phenotypes
Authors: Yang Yihan , More Sanket , De Smet Frederik , De Vleeschouwer Steven , Agostinis Patrizia
Published: April 2024

Introduction

Aberrant reactive oxygen species (ROS) production is one of the hallmarks of cancer. During their growth and dissemination, cancer cells control redox signaling to support protumorigenic pathways. As a consequence, cancer cells become reliant on major antioxidant systems to maintain a balanced redox tone, while avoiding excessive oxidative stress and cell death. This concept appears especially relevant in the context of glioblastoma multiforme (GBM), the most aggressive form of brain tumor characterized by significant heterogeneity, which contributes to treatment resistance and tumor recurrence. From this viewpoint, this study aims to investigate whether gene regulatory networks can effectively capture the diverse redox states associated with the primary phenotypes of GBM.

Methods

In this study, we utilized publicly available GBM datasets along with proprietary bulk sequencing data. Employing computational analysis and bioinformatics tools, we stratified GBM based on their antioxidant capacities and evaluated the distinctive functionalities and prognostic values of distinct transcriptional networks in silico.

Results

We established three distinct transcriptional co-expression networks and signatures (termed clusters C1, C2, and C3) with distinct antioxidant potential in GBM cancer cells. Functional analysis of each cluster revealed that C1 exhibits strong antioxidant properties, C2 is marked with a discrepant inflammatory trait and C3 was identified as the cluster with the weakest antioxidant capacity. Intriguingly, C2 exhibited a strong correlation with the highly aggressive mesenchymal subtype of GBM. Furthermore, this cluster holds substantial prognostic importance: patients with higher gene set variation analysis (GSVA) scores of the C2 signature exhibited adverse outcomes in overall and progression-free survival.

Conclusion

In summary, we provide a set of transcriptional signatures that unveil the antioxidant potential of GBM, offering a promising prognostic application and a guide for therapeutic strategies in GBM therapy.
MLXIPL associated with tumor-infiltrating CD8+ T cells is involved in poor prostate cancer prognosis
Authors: Fan Yuanming , Ge Yuqiu , Niu Kaiming , Li Ying , Qi Lian-Wen , Zhu Haixia , Ma Gaoxiang
Published: April 2024

Introduction

Within tumor microenvironment, the presence of preexisting antitumor CD8+ T Q7 cells have been shown to be associated with a favorable prognosis in most solid cancers. However, in the case of prostate cancer (PCa), they have been linked to a negative impact on prognosis.

Methods

To gain a deeper understanding of the contribution of infiltrating CD8+ T cells to poor prognosis in PCa, the infiltration levelsof CD8+ T cells were estimated using the TCGA PRAD (The Cancer Genome Atlas Prostate Adenocarcinoma dataset) and MSKCC (Memorial Sloan Kettering Cancer Center) cohorts.

Results

Bioinformatic analyses revealed that CD8+ T cells likely influence PCa prognosis through increased expression of immune checkpoint molecules and enhanced recruitment of regulatory T cells. The MLXIPL was identified as the gene expressed in response to CD8+ T cell infiltration and was found to be associated with PCa prognosis. The prognostic role of MLXIPL was examined in two cohorts: TCGA PRAD (p = 2.3E-02) and the MSKCC cohort (p = 1.6E-02). Subsequently, MLXIPL was confirmed to be associated with an unfavorable prognosis in PCa, as evidenced by an independent cohort study (hazard ratio [HR] = 2.57, 95% CI: 1.42- 4.65, p = 1.76E-03).

Discussion

In summary, the findings suggested that MLXIPL related to tumor-infiltrating CD8+ T cells facilitated a poor prognosis in PCa.
Predicting effect of anti-PD-1/PD-L1 inhibitors therapy for hepatocellular carcinoma by detecting plasma metabolite based on UHPLC-MS
Authors: Liu Botong , Shi Jinyu , Su Rui , Zheng Ran , Xing Fan , Zhang Yuan , Wang Nanya , Chen Huanwen , Feng Shouhua
Published: April 2024

Introduction

Anti-PD-1/PD-L1 inhibitors therapy has become a promising treatment for hepatocellular carcinoma (HCC), while the therapeutic efficacy varies significantly among effects for individual patients are significant difference. Unfortunately, specific predictive biomarkers indicating the degree of benefit for patients and thus guiding the selection of suitable candidates for immune therapy remain elusive.no specific predictive biomarkers are available indicating the degree of benefit for patients and thus screening the preferred population suitable for the immune therapy.

Methods

Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) considered is an important method for analyzing biological samples, since it has the advantages of high rapid, high sensitivity, and high specificity. Ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC-MS) has emerged as a pivotal method for analyzing biological samples due to its inherent advantages of rapidity, sensitivity, and specificity. In this study, potential metabolite biomarkers that can predict the therapeutic effect of HCC patients receiving immune therapy were identified by UHPLC-MS.

Results

A partial least-squares discriminant analysis (PLS-DA) model was established using 14 glycerophospholipid metabolites mentioned above, and good prediction parameters (R2 = 0.823, Q2 = 0.615, prediction accuracy = 0.880 and p < 0.001) were obtained. The relative abundance of glycerophospholipid metabolite ions is closely related to the survival benefit of HCC patients who received immune therapy.

Discussion

This study reveals that glycerophospholipid metabolites play a crucial role in predicting the efficacy of immune therapy for HCC.
Comparative transcriptome analysis reveals immune-related genes involved in allograft and xenograft transplantation in Pinctada fucata
Authors: Zheng Yusi , Wang Pei , Guo Ying , Bai Lirong , Yu Dahui , Zhao Sen
Published: April 2024

Background

The marine pearl culture industry is a key industry in the Beibu Gulf of China that achieves large-scale pearl production by artificial nucleus insertion in pearls. High-quality pearls can produced by xenotransplantation, but allotransplantation or xenotransplantation can lead to various immune responses, resulting in nucleus rejection or even the recipient shell death and thereby causing significant losses in pearl production.

Methods

Few studies have investigated the immune defenses of oysters related to allografts and xenografts. In this study, transcriptomic comparisons of allograft and xenograft Pinctada fucata haemocytes were conducted to identify genes associated with immune responses.

Results

A total of 33.11 Gbp of clean reads were generated from five P. fucata haemocytes. De-novo assembly of quality-filtered reads generated a total of 26,526 unigenes, with 22,002 known genes and 4,524 predicted novel genes. In addition, 34,904 novel transcripts were detected, with 15,620 novel alternative splicing isoforms of known protein coding genes and 4,605 belonging to novel protein coding genes, with the remaining 14,679 comprising long non-coding RNA transcripts. Functional enrichment analysis of immune-related differentially expressed genes (DEGs) using the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases revealed 36–44 significantly enriched GO terms and 34 significantly enriched KEGG pathways. Ten DEGs were subjected to validation of expression levels using RT-q PCR analysis, revealing generally consistent values as the high-throughput sequencing data.

Conclusion

Oyster haemocytes were comprehensively evaluated in this study using transcriptomic comparisons and with a focus on immune-related functional genes and pathways. The results revealed numerous DEGs related to immune function that can serve as the basis for subsequent immune response analysis of allotransplantation and xenotransplantation.
Study on the size effect of rock elastic modulus considering the influence of joint roughness
Authors: Hu Gaojian , Wang Bin , Guo Wenbing , Xing Yuan , Zhou Junxia , Zha Lanchang , Meng Shiyu
Published: April 2024

The elastic modulus of rocks is a measure of the ability of rocks to resist elastic deformation. It is related to the size of rocks and can effectively measure the internal physical and mechanical strength of rocks. The development of joint fractures is the main reason for the size effect of rocks. Therefore, exploring the influence of joint roughness on the elastic modulus of rocks of different sizes is of great significance in mining rock mechanics. The article investigates the size effect of joint roughness on elastic modulus of rocks by establishing simulation schemes for 30 working conditions. By analyzing the stress-strain curves of rocks with different roughness and sizes, the deformation and failure patterns of rocks with different sizes were obtained. Research has found that the elastic modulus of rocks is in a power function relationship with joint roughness, while the elastic modulus of rocks is negatively exponentially related to rock size; The characteristic elastic modulus of rocks is in a power function relationship with joint roughness. The above relationships not only reveal the variation of rock elastic modulus with size, but also reveal the influence of joint roughness on elastic modulus, providing important basis for understanding the stability of mining rock engineering.
Highly defective NiFeV layered triple hydroxide with enhanced electrocatalytic activity and stability for oxygen evolution reaction
Authors: Li Xi-Yuan , Xu Lin-Cheng , Wang Yue , Yan Yong , Feng Ying-Jie , Li Fan
Published: April 2024

Oxygen evolution reaction (OER) is one of the most important components of various electrochemical systems such as water splitting, metal air batteries, and carbon dioxide reduction. However, the four-electron process of OER suffers from intrinsically sluggish kinetics, which contributes to significant overpotential in the electrochemical system. Herein, highly defective NiFeV layered triple hydroxide (LTH) catalyst was efficiently prepared using a one-step hydrothermal method. The crystal structure, electronic structure, and surface composition of NiFeV LTH were characterized by X-ray diffraction and photoelectron spectroscopy. Moreover, NiFeV LTH demonstrated a superior OER catalytic performance with-low overpotential (158 mV @10 mA·cm-2), related small Tafel slope (102.3 mV·dec−1), and long-term stability at a high current density of 100 mA·cm-2. In situ Raman spectroscopy was applied to investigate the surface reconstruction during the OER process. It is revealed that Ni species were the most active sites at low overpotential, with the potential increasing subsequently Fe and V gradually participates in the catalytic reaction, the Fe and Ni species as OER catalytic active sites lead to the excellent OER catalytic activity of NiFeV LTH, and inhibited the further dissolution of high-valence NiOOH at high overpotential. The mechanism induced the outstanding activity and stability at high current densities in NiFeV LTH system. Dissolution of vanadium excited the active sites of NiFeV LTH synthesized by hydrothermal method which promoted both activity and stability, while the changes of surface species at different OER potentials were detected by in situ Raman spectroscopy.
Use of the Canadian CT head rule for patients on anticoagulant/anti-platelet therapy presenting with mild traumatic brain injury: prospective observational study
Authors: Uccella Laura , Riboni Cristiana , Polinelli Francesco , Biondi Carola , Uccheddu Graziano , Petrino Roberta , Majno-Hurst Pietro
Published: April 2024

Background and importance

Mild traumatic brain injury (mTBI) is a frequent presentation in Emergency Department (ED). There are standardised guidelines, the Canadian CT Head Rule (CCHR), for CT scan in mTBI that rule out patients on either anticoagulant or anti-platelet therapy. All patients with these therapies undergo a CT scan irrespectively of other consideration.

Objective

To determine whether standard guidelines could be applied to patients on anticoagulants or anti-platelet drugs.

Design, settings, and participants

1,015 patients with mTBI and Glasgow Coma Score (GCS) of 15 were prospectively recruited, 509 either on anticoagulant or anti-platelet therapy and 506 on neither. All patients on neither therapy underwent CT scan following guidelines. All patients with mTBI on either therapy underwent CT scan irrespective of the guidelines.

Outcome measure and analysis

Primary endpoint was the incidence of post-traumatic intracranial bleeding in patients either on anticoagulants or anti-platelet drugs and in patients who were not on these therapies. Bayesian statistical analysis with calculation of Confidence Intervals (CI) was then performed.

Main results

Sixty scans were positive for bleeding: 59 patients fulfilled the criteria and 1 did not. Amongst patients with haemorrhage, 24 were on either therapy and only one did not meet the guidelines but in this patient the CT scan was performed before 2 h from the mTBI. Patients on either therapy did not have higher bleeding rates than patients on neither. There were higher bleeding rates in patients on anti-platelet therapy who met the guidelines vs. patients who did not. These rates overlapped with patients on neither therapy, meeting CCHR.

Conclusion

The CCHR might be used for mTBI patients on either therapy. Anticoagulants and anti-platelet drugs should not be considered a risk factor for patients with mTBI and a GCS of 15. Multicentric studies are needed to confirm this result.
Subjective benefits from wearing self-fitting over-the-counter hearing aids in the real world
Authors: Sheng Tong , Pasquesi Lauren , Gilligan Jennifer , Chen Xing-Jie , Swaminathan Jayaganesh
Published: April 2024

Introduction

In 2022, the US Food and Drug Administration enacted final regulations to establish the category of over-the-counter (OTC) hearing aids aimed at reducing barriers to access hearing health care for individuals with self-perceived mild to moderate hearing loss. However, given the infancy of this device category, the effectiveness of OTC hearing aids in real-world environments is not yet well understood.

Methods and results

To gain insights into the perceived benefit of self-fitting OTC hearing aids, a two-pronged investigation was conducted. In the primary investigation, 255 active users of a self-fitting OTC hearing aid were surveyed on their perceived benefit using an abridged form of the Satisfaction with Amplification in Daily Living (SADL) scale. The mean global (4.9) and subscale scores (Positive Effect (PE): 4.3; Negative Features (NF): 4.3; Personal Image (PI): 6.1) were within the range of those previously reported for users of prescription hearing aids. In the secondary investigation, 29 individuals with self-reported hearing impairment but no prior experience with the investigational self-fitting OTC hearing aids used the devices and reported their perceived benefit and satisfaction following short-term usage. For this prospective group, the global SADL (5.4) and subscale scores (PE: 4.8; NF: 4.9; PI: 6.5) following a minimum of 10 weeks of real-world use were also within the range of those previously reported for traditional hearing aid users. In addition, this prospective group was also asked quality of life questions which assessed psychological benefits of hearing aid use. Responses to these items suggest hearing aid related improvements in several areas spanning emotional health, relationships at home and at work, social life, participation in group activities, confidence and feelings about one’s self, ability to communicate effectively, and romance.

Discussion

Converging data from these investigations suggest that self-fitting OTC hearing aids can potentially provide their intended users with a level of subjective benefit comparable to what prescription hearing aid users might experience.
A novel Nutrient Rich Food (NRFa11.3) score uses flavonoids and carotenoids to identify antioxidant-rich spices, herbs, vegetables, and fruit
Authors: Drewnowski Adam
Published: April 2024

Introduction

Nutrient profiling (NP) models designed to evaluate the healthfulness of plant-based foods ought to incorporate bioactive phytochemicals. Herbs and spices are one food group of current interest.

Methods

Two new versions of the well-established Nutrient Rich Food (NRF) index were applied to spices, herbs, vegetables, fruit, and other plant-based foods. Analyses used the US Department of Agriculture (USDA) SR-28 nutrient composition database merged with the USDA Expanded Flavonoid database 3.3. The NRF4.3 model was based on protein, fiber, potassium, and vitamin C. The NRFa11.3 model was based on micronutrients with reported antioxidant activity (vitamin C, vitamin E, selenium, copper, and zinc), carotenoids (alpha and beta carotene, beta-cryptoxanthin, lycopene, lutein/zeaxantin) and flavonoids. Saturated fat, added sugar, and sodium were nutrients to limit. The NRF algorithm was based on sums of percent daily values (%DVs) capped at 100%.

Results

The NRF4.3 model awarded high scores to herbs and spices, cocoa powder, and nuts, but did not discriminate well among vegetables and fruit. The NRFa11.3 model performed better. Green leafy, red orange and cruciferous vegetables had the highest carotenoid content. Highest in flavonoids were cocoa powder, herbs and spices, and berries. Highest combined NRFa11.3 values were observed for herbs and spices, green leafy vegetables, cocoa, nuts, and red-orange and cruciferous vegetables.

Discussion

Fresh and dry herbs and spices, often ignored by NP models, were particularly nutrient-rich and may provide non-negligible amounts of key phytonutrients to the human diet.
Rapid response to fifth-line brigatinib plus entrectinib in an ALK-rearranged lung adenocarcinoma with an acquired ETV6-NTRK3 fusion: a case report
Authors: Li Dan , Zhu Yue , Song Jincheng , Yang Dafu , Cui Saiqiong , Liu Xin , Wang Le , Zhang Jiangyan , Pan Evenki , Dai Zhaoxia
Published: April 2024

The management of non-small cell lung cancer (NSCLC), specifically targeting the anaplastic lymphoma kinase (ALK) with tyrosine kinase inhibitors (TKIs), is challenged by the emergence of therapeutic resistance. Resistance mechanisms to ALK TKIs can be broadly classified into ALK-dependent and ALK-independent pathways. Here, we present a case with lung adenocarcinoma (LUAD) harboring an ALK rearrangement. The patient had developed resistance to sequential ALK TKI therapies, with an acquired ETV6-NTRK3 (E4:N14) fusion as a potential mechanism of ALK-independent resistance to lorlatinib. Subsequently, the patient was treated with the combination of brigatinib plus entrectinib and demonstrated a positive response, achieving an 8-month progression-free survival. Our case provides a potential treatment option for LUAD patients with ALK rearrangements and highlights the utility of next-generation sequencing (NGS) in uncovering genetic alterations that can guide the selection of effective treatment strategies.
Pine wilt disease detection algorithm based on improved YOLOv5
Authors: Du Zengjie , Wu Sifei , Wen Qingqing , Zheng Xinyu , Lin Shangqin , Wu Dasheng
Published: April 2024

Pine wilt disease (PWD) poses a significant threat to forests due to its high infectivity and lethality. The absence of an effective treatment underscores the importance of timely detection and isolation of infected trees for effective prevention and control. While deep learning techniques combined unmanned aerial vehicle (UAV) remote sensing images offer promise for accurate identification of diseased pine trees in their natural environments, they often demand extensive prior professional knowledge and struggle with efficiency. This paper proposes a detection model YOLOv5L-s-SimAM-ASFF, which achieves remarkable precision, maintains a lightweight structure, and facilitates real-time detection of diseased pine trees in UAV RGB images under natural conditions. This is achieved through the integration of the ShuffleNetV2 network, a simple parameter-free attention module known as SimAM, and adaptively spatial feature fusion (ASFF). The model boasts a mean average precision (mAP) of 95.64% and a recall rate of 91.28% in detecting pine wilt diseased trees, while operating at an impressive 95.70 frames per second (FPS). Furthermore, it significantly reduces model size and parameter count compared to the original YOLOv5-Lite. These findings indicate that the proposed model YOLOv5L-s-SimAM-ASFF is most suitable for real-time, high-accuracy, and lightweight detection of PWD-infected trees. This capability is crucial for precise localization and quantification of infected trees, thereby providing valuable guidance for effective management and eradication efforts.
Reviewing the essential roles of remote phenotyping, GWAS and explainable AI in practical marker-assisted selection for drought-tolerant winter wheat breeding
Authors: Chang-Brahim Ignacio , Koppensteiner Lukas J. , Beltrame Lorenzo , Bodner Gernot , Saranti Anna , Salzinger Jules , Fanta-Jende Phillipp , Sulzbachner Christoph , Bruckmüller Felix , Trognitz Friederike , Samad-Zamini Mina , Zechner Elisabeth , Holzinger Andreas , Molin Eva M.
Published: April 2024

Marker-assisted selection (MAS) plays a crucial role in crop breeding improving the speed and precision of conventional breeding programmes by quickly and reliably identifying and selecting plants with desired traits. However, the efficacy of MAS depends on several prerequisites, with precise phenotyping being a key aspect of any plant breeding programme. Recent advancements in high-throughput remote phenotyping, facilitated by unmanned aerial vehicles coupled to machine learning, offer a non-destructive and efficient alternative to traditional, time-consuming, and labour-intensive methods. Furthermore, MAS relies on knowledge of marker-trait associations, commonly obtained through genome-wide association studies (GWAS), to understand complex traits such as drought tolerance, including yield components and phenology. However, GWAS has limitations that artificial intelligence (AI) has been shown to partially overcome. Additionally, AI and its explainable variants, which ensure transparency and interpretability, are increasingly being used as recognised problem-solving tools throughout the breeding process. Given these rapid technological advancements, this review provides an overview of state-of-the-art methods and processes underlying each MAS, from phenotyping, genotyping and association analyses to the integration of explainable AI along the entire workflow. In this context, we specifically address the challenges and importance of breeding winter wheat for greater drought tolerance with stable yields, as regional droughts during critical developmental stages pose a threat to winter wheat production. Finally, we explore the transition from scientific progress to practical implementation and discuss ways to bridge the gap between cutting-edge developments and breeders, expediting MAS-based winter wheat breeding for drought tolerance.
Gaming with health misinformation: a social capital-based study of corrective information sharing factors in social media
Authors: Feng Bobo
Published: April 2024

Correction is an important tool to reduce the negative impact of health misinformation on social media. In the era of “I share, therefore I am” social media, users actively share corrective information to achieve the “anti-convincing” effect of health misinformation. Focusing on the local Chinese context, this study constructs a structural equation model using social capital as a mediating variable to explore whether usage of Chinese users’ social media can promote corrective information sharing by influencing the structural, cognitive, and relational dimensions of social capital and the role of health literacy in corrective information sharing. It was found that social media use did not significantly affect corrective information share willingness but significantly influenced share willingness through social interaction connections, trust, and shared experiences, and share willingness significantly influenced sharing behavior. The moderating effect showed that health literacy played a significant moderating effect in the influence of corrective information share willingness on sharing behavior. This study introduces the three dimensions of social capital at the theoretical level and finds that users will share corrective information for the purpose of social capital accumulation. It also provides empirical evidence for specific practices, including improving users’ health literacy and actively mobilizing them to participate in the blocking and management of health misinformation in social media.
Community integration, quality of life, thriving, and mental health among refugees and asylum seekers. A London service provider perspective
Authors: Kienzler Hanna
Published: April 2024

Introduction

This article explores how systemic injustices and social inequalities affect refugee and asylum seeker integration, thriving, and mental health in London. This is pertinent as the United Kingdom currently operates a ‘broken’ asylum system with unfair policies and a ‘tough’ immigration rhetoric which makes it extraordinarily difficult for asylum seekers and refugees to achieve community integration, have a good quality of life, be able to thrive, and have good health including mental health. Paradoxically, the United Kingdom Home Office also features an Indicators for Integration Framework to provide practical ways to design more effective strategies, monitor services and evaluated integration interventions.

Methods

This study employed a qualitative research design including semi-structured interviews with 19 mental health and psychosocial support service providers working in third-sector organizations in London.

Results

The study results show that the current asylum system severely undermines efforts to support asylum seekers and refugees with their integration. All participants highlighted that asylum seekers and refugees lacked experienced poor quality of life and faced structural challenges to build meaningful social connections; to have access education, fair employment and good work; to achieve good mental health and wellbeing; and to be able to thrive.

Discussion

To improve community integration, quality of life, thriving, and mental health for asylum seekers and refugees in London and, beyond, the United Kingdom, four recommendations are made on structural and service-levels: (1) reform of the current asylum system by centering human rights; (2) implement and carry out needs assessments among asylum seekers and refugees focussing on key social determinants; (3) ensure asylum seekers and refugees benefit from the NHS Inclusion Health framework; and (4) extend the NHS Patient and Carer Race Equality framework beyond England. To be effective, all four initiatives need to be grounded in a participatory approach that meaningfully involves diverse groups of stakeholders including asylum seekers and refugees.
Morphological, clinical, and molecular profiling of post-polycythemia vera accelerated/blast phase occurring with and without antecedent secondary myelofibrosis
Authors: Pelagatti Laura , Pozzi Giulia , Cortellazzi Samuele , Mancini Cristina , Martella Eugenia , Pagliaro Luca , Giaimo Mariateresa , Roti Giovanni , Vitale Marco , Carubbi Cecilia , Masselli Elena
Published: April 2024

Introduction

Polycythemia vera (PV) is a JAK2-mutated myeloproliferative neoplasm (MPN) characterized by clonal erythrocytosis and an intrinsic risk of transformation into acute myeloid leukemia (AML), known as blast-phase (BP) disease, a condition typified by dismal prognosis. In PV, the evolution to BP generally occurs through an overt fibrotic progression, represented by the post-PV myelofibrotic (MF) stage. However, direct leukemic transformation from PV may also occur in up to ~50% of patients. In this study, we sought to shed light on the morphological, clinical, and molecular features that may differentiate BP arising from a direct transition from the PV stage (post-PV-BP) from those evolving through a diagnosis of post-PV myelofibrosis (post-PV-MF-BP).

Methods and results

We retrospectively analyzed a cohort of post-PV-BP (n=5) and post-PV-MF-BP (n=5). We found that BP arising from PV directly displayed significantly lower leukocyte count (median 2.93 × 109/L, range: 2.30–39.40 vs. median 41.05 × 109/L, range: 5.46–58.01; P=0.03), and spleen diameter (14.0 cm, range: 11.5–20.0 vs. 25.5 cm, range: 18–26; P=0.03) as compared to those experiencing an overt fibrotic stage. The most striking differences emerged from bone marrow (BM) morphological analysis: all post-PV-BP were characterized by significantly higher cellularity (median 70%, range: 60%–98% vs. 28%, range: 2%–41%, P=0.0245), lower degree of fibrosis (fibrosis grade 1 vs. fibrosis grade 3 in all cases, P=0.008) and dysplastic features involving all three lineages, most prominently the erythroid and megakaryocytic compartment. Next-generation sequencing (NGS) analysis revealed that post-PV-BP cases were enriched in mutations located in genes involved in DNA methylation such as DNMT3A, IDH1/2, and TET2 (45% vs. 15%, P=0.038).

Discussion

With all the limits of the small number of patients for each cohort, our data suggest that BPs that arise directly from PV present a peculiar phenotype, consistent with the molecular signature of the disease, typified by mutations of genes occurring with a high frequency in Myelodysplastic Syndromes (MDS) and MDS/MPN. Further studies in larger cohorts are warranted to translate these observations into robust evidence that may advise therapeutic choices.
Development of an implementation science informed “Test Evidence Transition” program to improve cancer outcomes
Authors: Hamilton-West Kate E. , Feast Alexandra , Masento Natalie A. , Knowles Brian , Sloan Claire , Weaver Luke
Published: April 2024

Introduction

Translation of cancer research into practice takes around 15 years. Programs informed by implementation science methods and frameworks offer potential to improve cancer outcomes by addressing the implementation gap.

Methods

We describe the development of a Test Evidence Transition (TET) program which provides funding and support to health system delivery teams and project design and evaluation partners working together to achieve three objectives: Test innovations to support optimal cancer pathways that transform clinical practice; Evidence the process, outcome, and impact of implementation; and work with strategic partners to ensure the Transition of best practice into effective and equitable adoption across UK health systems.

Results

Phase 1 launched in April 2023. Teams with the capability and motivation to implement evidence-based pathway innovations were identified and invited to submit expressions of interest. Following peer-review, teams were supported to develop full proposals with input from academics specializing in health services research, evaluation, and implementation science. Projects were selected for funding, providing an opportunity to implement and evaluate innovations with support from academic and health system partners.

Conclusions

TET aims to improve cancer outcomes by identifying and addressing local-level barriers to evidence-based practice and translating findings into consistent and equitable adoption across health systems. Phase 1 projects focus on pathway innovations in diagnosis for breast and prostate cancer. We are now launching Phase 2, focusing on colorectal cancer.
The 1980 Aparejo Glacier catastrophic detachment: new insights and current status
Authors: Ugalde Felipe , Casassa Gino , Marangunic Cedomir , Fernandoy Francisco , Carrasco Jorge , Buglio Franco
Published: April 2024

The catastrophic detachment of Aparejo Glacier (one of the three known cases in the Andes) took place on 1 March 1980 and resulted in the removal of an ice volume initially estimated to be 7.2 Mm3, which originally was 1.0 km long and covered an area of 0.2 km2. The event caused the sudden mobilization of the sliding mass 3.7 km down valley at an estimated speed of 110 km/h, causing remarkable geomorphological changes, including the obliteration of most of the glacier. 40 years after the event, we analyze new evidence: 3 ground surveys carried out in 2015 and 2016; DEMs and glacier outlines compiled from orthorectified aerial imagery pre-and post-event; GNSS data; Ground Penetrating Radar (GPR) data; a terrestrial LiDAR scan survey of 2020, together with detailed interviews with 2 direct witnesses of the event, terrestrial and helicopter-borne photographs acquired 12 days after the sudden detachment. The combined interpretation of these new data, allow us to make a more precise estimation of the pre-detachment glacier volume, 12.9 ± 0.6 × 106 m3 and the detached ice volume of 11.7 ± 0.6 × 106 m3 (90% of the total volume of the glacier). We also show that in the 40-year period Aparejo Glacier has recovered 12.4% of the original glacier volume, with a mean ice thickness of 19.5 m and a maximum of 40 m according to GPR data, being preserved within the same basin as the detached glacier. In recent years, the glacier has shown a mean elevation change of −3.7 ± 1.2 m during the 2015–2020 period, with maximum thinning values greater than 8 m, which are probably caused by enhanced ablation due to climate warming and reduced precipitation during the current megadrought which started in 2010 and has lasted more than 1 decade. We conclude that under the projected scenarios of climate warming and reduced precipitation for central Chile, the risk associated to a new detachment of Aparejo Glacier is unlikely.
Optimization Approach for Multisensory Feedback in Robot-Assisted Pouring Task
Authors: Marambe Mandira S. , Duerstock Bradley S. , Wachs Juan P.
Published: April 2024

Individuals with disabilities and persons operating in inaccessible environments can greatly benefit from the aid of robotic manipulators in performing daily living activities and other remote tasks. Users relying on robotic manipulators to interact with their environment are restricted by the lack of sensory information available through traditional operator interfaces. These interfaces deprive users of somatosensory feedback that would typically be available through direct contact. Multimodal sensory feedback can bridge these perceptual gaps effectively. Given a set of object properties (e.g., temperature, weight) to be conveyed and sensory modalities (e.g., visual, haptic) available, it is necessary to determine which modality should be assigned to each property for an effective interface design. The goal of this study was to develop an effective multisensory interface for robot-assisted pouring tasks, which delivers nuanced sensory feedback while permitting the high visual demand necessary for precise teleoperation. To that end, an optimization approach was employed to generate a combination of feedback properties to modality assignments that maximizes effective feedback perception and minimizes cognitive load. A set of screening experiments tested twelve possible individual assignments to form this optimal combination. The resulting perceptual accuracy, load, and user preference measures were input into a cost function. Formulating and solving as a linear assignment problem, a minimum cost combination was generated. Results from experiments evaluating efficacy in practical use cases for pouring tasks indicate that the solution was significantly more effective than no feedback and had considerable advantage over an arbitrary design.
Quadcopter Trajectory Tracking Control Based on Flatness Model Predictive Control and Neural Network
Authors: Li Yong , Zhu Qidan , Elahi Ahsan
Published: April 2024

In this paper, a novel control architecture is proposed in which FMPC couples feedback from model predictive control with feedforward linearization. The proposed approach has the computational advantage of only requiring a convex quadratic program to be solved instead of a nonlinear program. Feedforward linearization aims to overcome the robustness issues of feedback linearization, which may be the result of parametric model uncertainty leading to inexact pole-zero cancellation. A DenseNet was trained to learn the inverse dynamics of the system, and it was used to adjust the desired path input for FMPC. Through experiments using quadcopter, we also demonstrated improved trajectory tracking performance compared to that of the PD, FMPC, and FMPC+DNN approaches. The root mean square (RMS) error was used to evaluate the performance of the above four methods. The results demonstrate that the proposed method is effective.
Cooling of Superconducting Motors on Aircraft
Authors: Caughley Alan , Lumsden Grant , Weijers Hubertus , Jeong Sangkwon , Badcock Rodney A.
Published: April 2024

Superconducting electric motors are required in order to deliver lower-carbon aviation. Critical to the success and viability of operating superconducting electric motors in aviation is keeping the superconducting coils at their operating temperature. This paper examines the challenges of keeping a superconducting motor cold if it were used on a single aisle passenger aircraft such as an Airbus A320. The cooling problem is defined and different cooling scenarios are investigated to determine viability. The investigation has shown that for a motor with a superconducting rotor only (copper stator), a Stirling-type cryocooler would be sufficient. However, if the motor is to be fully superconducting, then the cooling loads of the stator, which are much higher, make mechanical refrigeration impractical and the only option is to cool the motor with the heat sink of a liquid hydrogen fuel.
Sh-DeepLabv3+: An Improved Semantic Segmentation Lightweight Network for Corn Straw Cover Form Plot Classification
Authors: Wang Yueyong , Gao Xuebing , Sun Yu , Liu Yuanyuan , Wang Libin , Liu Mengqi
Published: April 2024

Straw return is one of the main methods for protecting black soil. Efficient and accurate straw return detection is important for the sustainability of conservation tillage. In this study, a rapid straw return detection method is proposed for large areas. An optimized Sh-DeepLabv3+ model based on the aforementioned detection method and the characteristics of straw return in Jilin Province was then used to classify plots into different straw return cover types. The model used Mobilenetv2 as the backbone network to reduce the number of model parameters, and the channel-wise feature pyramid module based on channel attention (CA-CFP) and a low-level feature fusion module (LLFF) were used to enhance the segmentation of the plot details. In addition, a composite loss function was used to solve the problem of class imbalance in the dataset. The results show that the extraction accuracy is optimal when a 2048 × 2048-pixel scale image is used as the model input. The total parameters of the improved model are 3.79 M, and the mean intersection over union (MIoU) is 96.22%, which is better than other comparative models. After conducting a calculation of the form–grade mapping relationship, the error value of the area prediction was found to be less than 8%. The results show that the proposed rapid straw return detection method based on Sh-DeepLabv3+ can provide greater support for straw return detection.
Assisted Tea Leaf Picking: The Design and Simulation of a 6-DOF Stewart Parallel Lifting Platform
Authors: Wang Zejun , Yang Chunhua , Che Raoqiong , Li Hongxu , Chen Yaping , Chen Lijiao , Yuan Wenxia , Yang Fang , Tian Juan , Wang Baijuan
Published: April 2024

The 6-DOF Stewart parallel elevation platform serves as the platform for mounting the tea-picking robotic arm, significantly impacting the operational scope, velocity, and harvesting precision of the robotic arm. Utilizing the Stewart setup, a parallel elevation platform with automated lifting and leveling capabilities was devised, ensuring precise halts at designated elevations for seamless harvesting operations. The effectiveness of the platform parameter configuration and the reasonableness of the posture changes were verified. Firstly, the planting mode and growth characteristics of Yunnan large-leaf tea trees were analyzed to determine the preset path, posture changes, and mechanism stroke of the Stewart parallel lifting platform, thereby determining the basic design specifications of the platform. Secondly, a 3D model was established using SolidWorks, a robust adaptive PD control model was built using MATLAB for simulation, and dynamic calculations were carried out through data interaction in Simulink and ADAMS. Finally, the rationality of the lifting platform design requirements was determined based on simulation data, a 6-DOF Stewart parallel lifting platform was manufactured, and a motion control system was built for experimental verification according to the design specifications and simulation data. The results showed that the maximum deviation angle around the X, Y, and Z axes was 10°, the maximum lifting distance was 15 cm, the maximum load capacity was 60 kg, the platform response error was within ±0.1 mm, and the stable motion characteristics reached below the millimeter level, which can meet the requirements of automated operation of the auxiliary picking robotic arm.