bluuebunny/crossref_metadata_2025 huggingface dataset:
Current standards and the future role of hadrontherapy in the treatment of central nervous system tumors
Authors: Harrabi Semi B.
Published: July 2024

Introduction

Radiation therapy is vital for treating central nervous system cancers (CNS), but traditional methods have limitations, especially in cases with high risks of side effects. Ion beam therapy, with its unique properties, offers a promising alternative for more precise and effective treatment, particularly in challenging scenarios.

Materials and methods

The presentation given at the symposium on hadrontherapy covered relevant literature for the utilization of ion beam therapy for pediatric CNS tumors, glioma, and meningeoma, as well as its role in re-irradiation. Emphasis was placed on new beam modalities, including carbon and helium ions, highlighting their potential benefits in improving treatment outcomes.

Results

The results underscore the importance of preserving surrounding healthy tissue in pediatric malignancies’ radiation therapy. Proton irradiation achieves optimal target coverage while reducing radiation-induced side effects. Carbon ions show promise in glioma treatment, with ongoing trials validating their efficacy. Moreover, helium ion therapy demonstrates advantages in sparing normal tissue, making it a promising candidate for reintroduction into clinical routines. These findings highlight the potential of ion beam therapies in optimizing treatment outcomes while minimizing side effects, particularly in pediatric CNS tumors and gliomas.

Conclusion

Results support proton therapy for brain tumors, aiming to preserve cognitive function. Carbon ions could benefit select patients in primary treatment and for recurrent cases. Helium ion therapy combines advantages of protons and carbon ions, offering precise dose deposition and tissue sparing, making it suitable for clinical use.
“Living with a question mark”: psychosocial experience of Portuguese young adults at risk for hereditary amyloid transthyretin amyloidosis with polyneuropathy
Authors: Pereira José D. , Costa Catarina , Santos Andreia , Lemos Marina S. , Sequeiros Jorge , Paneque Milena , Mendes Álvaro
Published: July 2024

This study is the first to explore the psychosocial experience of young Portuguese adults at genetic risk for hereditary amyloid transthyretin amyloidosis with polyneuropathy (hATTR-PN). The work focuses on the developmental peculiarities of their experience with the disease. Sixteen semi-structured interviews were conducted with young adults coming for pre-symptomatic testing (PST) at a single genetics outpatient center in Portugal. The data were analyzed qualitatively. The main findings suggest that four themes mark the psychosocial experience of the young adults interviewed. The first refers to the development of psychological representations, namely beliefs, mental representations, and social perceptions about hATTR-PN. The second regards the experienced and anticipated psychosocial impacts, namely, suffering, anxiety, and relief related to the disease. The third is related to using strategies such as performing PST, strategies focused on emotional regulation and the meaning of hATTR-PN, and social strategies to deal with these impacts over time. Finally, the fourth aspect concerns the perceived and expected support for the participants’ needs provided by social contexts, that is, family and genetic counseling. In a period of life also marked by qualitatively different characteristics and developmental tasks from other life cycle stages (e.g., identity explorations, instability, and independent decision-making), experience with the disease can add psychosocial challenges to young adults at risk for hATTR-PN. Genetic counseling practices and health policies can be optimized to respond to the psychosocial needs of young adults. Future research should deepen the understanding of the psychosocial experience of individuals and families with late-onset hATTR-PN to improve the clinical response in this population.
Reparameterized underwater object detection network improved by cone-rod cell module and WIOU loss
Authors: Yang Xuantao , Liu Chengzhong , Han Junying
Published: July 2024

To overcome the challenges in underwater object detection across diverse marine environments—marked by intricate lighting, small object presence, and camouflage—we propose an innovative solution inspired by the human retina's structure. This approach integrates a cone-rod cell module to counteract complex lighting effects and introduces a reparameterized multiscale module for precise small object feature extraction. Moreover, we employ the Wise Intersection Over Union (WIOU) technique to enhance camouflage detection. Our methodology simulates the human eye's cone and rod cells' brightness and color perception using varying sizes of deep and ordinary convolutional kernels. We further augment the network's learning capability and maintain model lightness through structural reparameterization, incorporating multi-branching and multiscale modules. By substituting the Complete Intersection Over Union (CIOU) with WIOU, we increase penalties for low-quality samples, mitigating the effect of camouflaged information on detection. Our model achieved a MAP_0.75 of 72.5% on the Real-World Underwater Object Detection (RUOD) dataset, surpassing the leading YOLOv8s model by 5.8%. Additionally, the model's FLOPs and parameters amount to only 10.62 M and 4.62B, respectively, which are lower than most benchmark models. The experimental outcomes affirm our design's efficacy in addressing underwater object detection's various disturbances, offering valuable technical insights for related oceanic image processing challenges.
Can you spot the bot? Identifying AI-generated writing in college essays
Authors: Waltzer Tal , Pilegard Celeste , Heyman Gail D.
Published: July 2024

The release of ChatGPT in 2022 has generated extensive speculation about how Artificial Intelligence (AI) will impact the capacity of institutions for higher learning to achieve their central missions of promoting learning and certifying knowledge. Our main questions were whether people could identify AI-generated text and whether factors such as expertise or confidence would predict this ability. The present research provides empirical data to inform these speculations through an assessment given to a convenience sample of 140 college instructors and 145 college students (Study 1) as well as to ChatGPT itself (Study 2). The assessment was administered in an online survey and included an AI Identification Test which presented pairs of essays: In each case, one was written by a college student during an in-class exam and the other was generated by ChatGPT. Analyses with binomial tests and linear modeling suggested that the AI Identification Test was challenging: On average, instructors were able to guess which one was written by ChatGPT only 70% of the time (compared to 60% for students and 63% for ChatGPT). Neither experience with ChatGPT nor content expertise improved performance. Even people who were confident in their abilities struggled with the test. ChatGPT responses reflected much more confidence than human participants despite performing just as poorly. ChatGPT responses on an AI Attitude Assessment measure were similar to those reported by instructors and students except that ChatGPT rated several AI uses more favorably and indicated substantially more optimism about the positive educational benefits of AI. The findings highlight challenges for scholars and practitioners to consider as they navigate the integration of AI in education.
Evolution of Long-Term Load Reduction Using Borrowed Soil
Authors: Li Sheng , Wang Shupei , Ho I.-Hsuan , Wang Yujie , Ma Li , Wang Changdan
Published: July 2024

The effectiveness of load-reduction techniques often diminishes due to creep behavior observed in geomaterials, as loess backfill is used, the load reduction rate of high-filled cut-and-cover tunnels (HFCCTs) after creep will decrease by 10.83%, posing a threat to the long-term stability of deeply buried structures such as HFCCTs. Therefore, a geotechnical solution is crucial to ensuring sustained effectiveness in load-reduction strategies over time. This study utilizes a finite-difference method to examine three promising measures for mitigating creep effects. Our analysis focuses on the time-dependent changes in earth pressure atop the cut-and-cover tunnel (CCT) and the internal distribution of cross-sectional forces, including bending moment, shear force, axial force, and displacement. Results indicate that the creep behavior of load-reduction materials significantly influences the internal force distribution. Furthermore, sustained load reduction is achieved when utilizing low-creep materials like dry sandy gravel as backfill soil, which needs to be borrowed from other sites. Additionally, integrating concrete wedges with load-reduction techniques facilitates a more uniform stress distribution atop CCTs.
Towards a generic agent-based vector-host model: effects of carrying capacity and host mobility
Authors: Chenaoui Cyrine , Marilleau Nicolas , Miled Slimane Ben
Published: July 2024

The aim of our work is to develop a generic conceptual agent-based model to formalize the interaction of vector and host given climate change. The model consists in creating a hypothetical example of a vector-host system. It simulates the vector’s life cycle while considering interactions with hosts and the temperature. It is presented following the ODD protocol and based on parameters and processes to conceptualize the vector-host complexity. It could accommodate a broad spectrum of vector species and different biogeographic regions. Our model can be extended to more ecologically complex systems with multiple species and real-world landscape complexity to test different host and / or vector-targeted control strategies and identify practical approaches to managing vector population and movement patterns.
Odourless vegetable oils as insect pest repellents for short-term protection of various food packaging materials
Authors: Shah J. A. , Vendl T. , Aulicky R. , Božik M. , Stejskal V.
Published: July 2024

The repellent activity of two odourless vegetable oils (sweet almond—SAO and soybean—SO) applied on filter paper and four types of food packaging materials (polyethylene film, plastic gunnysacks, cardboard, and wood) was tested against three species of stored product pests (Sitophilus granarius, Tribolium castaneum, and Oryzaephilus surinamensis). The repellence of three doses was evaluated after 24 h, and after 7, 14, 21, and 28 days. Both oils exhibited a repellent effect when applied to filter paper, but this effect decreased with time and concentration. The most susceptible species was T. castaneum. The maximum repellence was 84% and 76% for SO and SAO, respectively. On packaging materials, the repellent effect diminished after a certain period of time, ranging from 7 to 28 days. Subsequently, the oils even became attractive. Generally, the repellent effects of both SO and SAO were higher on cardboard and wood slab than on polyethylene film and plastic gunnysacks. As such, in the case of SO, the repellence against T. castaneum was 88% 24 h after application on cardboard, whilst 68% on plastic bag. This work demonstrated the repellent potential of vegetable oils in the short term for the protection of packaged food against stored product pests.
Business-Cycle Analysis and Zero-Crossings of Time Series: A Generalized Forecast Approach
Authors: Wildi Marc
Published: July 2024

We propose an extension of classic time series approaches to business-cycle measurement called Simple Sign Accuracy (SSA), which addresses zero-crossings of a zero-mean stationary time series. Zero-crossings or sign-changes of the growth-rate of an economic indicator mark transitions between expansion and contraction episodes which can be related to business-cycles. The length or, more specifically, the mean duration between consecutive zero-crossings of a predictor, can be controlled in our approach by subjecting a variation of the classic optimization criterion to a novel ‘holding time’ constraint. The proposed criterion embodies a prediction trilemma which recognizes the fundamental trade-offs between accuracy, timeliness and smoothness (ATS). As a result, the SSA-criterion can address a multiplicity of design priorities in terms of ATS forecast performances, and the classic mean-square error paradigm is obtained as a special case when assigning weight only to the accuracy component. We also show that SSA can be interpreted as an extension of classic smoothing algorithms and that the approach lends itself for customization of existing benchmark predictors. The latter possibility is exploited in a real-time analysis (nowcasting) of the US business cycle, whereby SSA is plugged onto a well-known benchmark to modify the latter’s characteristics in terms of ATS performances.
Emissions of CO2 and CH4 from Agricultural Soil with Kitchen Compost at Different Temperatures
Authors: Chau Tran Thi Minh , Someya Takashi , Akao Satoshi , Nakamura Masato , Oritate Fumiko , Somura Hiroaki , Yamane Shinzo , Maeda Morihiro
Published: July 2024

Emissions of CO2 from the soil are mainly derived from soil microbial respiration, whereas CH4 emissions originate from anaerobic degradation of organic matter via microbial processes. Kitchen waste compost is used in the agricultural sector to improve soil quality. However, abiotic CO2 and CH4 emissions from soils amended with kitchen waste compost under aerobic conditions remain uncertain. Temperature plays an important role in organic matter decomposition in both biotic and abiotic pathways. This study aimed to evaluate biotic and abiotic emissions of CO2 and CH4 from soils receiving kitchen compost at different temperatures. Ten grams of soil amended with or without 0.1 g kitchen compost (1%) were sterilized or non-sterilized. The mixture and soil-only samples were incubated in 100-mL glass bottles at 20, 30, and 35 °C for 28 d under an aerobic condition. The results showed that CO2 and CH4 emissions increased at higher temperatures and compost application rates (p < 0.05). Emissions of CO2 mainly occurred via biotic pathways. Abiotic processes were potential pathways for CH4 generation, particularly at high temperatures of 35 °C. There was 20–24% of C in kitchen compost changed to CO2 and less than 0.1% to CH4. Our results suggest that global warming enhances abiotic CO2 and CH4 emissions and may contribute to further global warming.
Green AI: exploring carbon footprints, mitigation strategies, and trade offs in large language model training
Authors: Liu Vivian , Yin Yiqiao
Published: July 2024

Prominent works in the space of Natural Language Processing (NLP) have long attempted to create new innovative models by improving upon previous model training approaches, altering model architecture, and developing more in-depth datasets to better their performance. However, with the quickly advancing field of NLP comes increased greenhouse gas emissions, posing concerns over the environmental damage caused by training LLMs. Gaining a comprehensive understanding of the various costs, particularly those pertaining to environmental aspects, that are associated with artificial intelligence serves as the foundational basis for ensuring safe AI models. Currently, investigations into the CO2 emissions of AI models remain an emerging area of research, and as such, we evaluate the CO2 emissions of well-known large language models, which have an especially high carbon footprint due to their significant amount of model parameters. We argue for the training of LLMs in a way that is responsible and sustainable by suggesting measures for reducing carbon emissions. Furthermore, we discuss how the choice of hardware affects CO2 emissions by contrasting the CO2 emissions during model training for two widely used GPUs. Based on our results, we present the benefits and drawbacks of our proposed solutions and make the argument for the possibility of training more environmentally safe AI models without sacrificing their robustness and performance.
Guidelines for holistic integrative management of pancreatic cancer
Authors:   China Anti-Cancer Association Committee of Pancreatic Cancer, Yu Xianjun
Published: July 2024

Background

Pancreatic cancer ranks 10th in the incidence rate of malignant tumors in male, and 12th in female. Pancreatic cancer is the sixth leading cause of tumor-related deaths in China. It is a devastating malignancy with poor prognosis.

Methods

Driven by the concept of "integrated medicine", the China Anti-Cancer Association Committee of Pancreatic Cancer organized relevant experts to complete this guideline.

Results

This guideline aims to guide the integrated treatment and rehabilitation management of pancreatic cancer in an all-round way based on "Preventing, Screening, Diagnosing, Treating, and Rehabilitating".

Conclusions

We hope that this guideline will provide effective references for clinicians, so as to achieve the best treatment effects for pancreatic cancer patients in China.
Advancing Cloud Classification Over the Tibetan Plateau: A New Algorithm Reveals Seasonal and Diurnal Variations
Authors: Bao Fangling , Letu Husi , Shang Huazhe , Ri Xu , Chen Deliang , Yao Tandong , Wei Lesi , Tang Chenqian , Yin Shuai , Ji Dabin , Lei Yonghui , Shi Chong , Peng Yiran , Shi Jiancheng
Published: July 2024

The cloud classification algorithm widely used in the International Satellite Cloud Climatology Project (ISCCP) tends to underestimate low clouds over the Tibetan Plateau (TP), often mistaking water clouds for high‐level clouds. To address this issue, we propose a new algorithm based on cloud‐top temperature and optical thickness, which we apply to TP using Advanced Himawari Imager (AHI) geostationary satellite data. Compared with Clouds and the Earth's Radiant Energy System cloud‐type products and ISCCP results obtained from AHI data, this new algorithm markedly improved low‐cloud detection accuracy and better aligned with cloud phase results. Validation with lidar cloud‐type products further confirmed the superiority of this new algorithm. Diurnal cloud variations over the TP show morning dominance shifting to afternoon high clouds and evening mid‐level clouds. Winter is dominated by high clouds, summer by mid‐level clouds, spring by daytime low clouds and nighttime high clouds, and autumn by low and mid‐level clouds.
Role of the Antarctic Circumpolar Circulation in Current Asymmetric Arctic and Antarctic Warming
Authors: Wang Peixi , Yang Song , Li Zhenning , Song Zhaoyang , Li Xichen , Hu Xiaoming
Published: July 2024

Both historical observations and recent modeling studies reveal a faster warming in the Arctic compared to the Antarctic. To understand the role of the Antarctic Circumpolar Circulation (ACC) in this warming asymmetry, we simulate the climate mean state and climate response to doubled CO2 under different climate mean ACC states by closing or opening the Drake Passage (DP) with the Community Earth System Model. From closed to open DP, a stronger climate mean ACC leads to a stronger climate mean Atlantic Meridional Overturning Circulation (AMOC), as well as a colder Antarctic but a warmer Arctic in the climate mean state. The less climate mean sea ice coverage in a warmer Arctic implies less extensive sea ice melting under global warming. This causes a reduced asymmetry in warming between the two poles in response to the doubled CO2.
Basal Force Fluctuations and Granular Rheology: Linking Macroscopic Descriptions of Granular Flows to Bed Forces With Implications for Monitoring Signals
Authors: Zrelak P. , Breard E. C. P. , Dufek J.
Published: July 2024

Granular flows are ubiquitous in nature with single flows traversing a wide range of dynamic conditions from initiation to deposition. Many of these flows are responsible for significant hazards and can generate remotely detectable seismic signals. These signals provide a potential for real‐time flow measurements from a safe distance. To fully realize the benefit of seismic measurements, basal‐granular forces must be linked to macroscopic internal flow dynamics across a wide range of flow conditions. We utilize discrete element simulations to observe dry and submerged granular flows under plane‐shear and inclined‐flow configurations, relating bulk kinematics to basal‐force distributions. We find that the power and frequency of force fluctuations scale with non‐dimensional shear rate (I). This scaling tracks three pre‐established regimes that are described by μ(I) rheology: (a) an intermittent particle rearrangement regime, where basal forces are dominated by low frequencies; (b) an intermediate regime where basal forces start to increase in frequency while showing correlations in space and (c) a fully collisional regime where the signal is nearly flat up to a cutoff frequency. We further identify a newly defined fourth regime that marks a “phase change” from the intermediate to collisional regime where increases in basal force fluctuations with increasing shear rates stalls as the granular bed dilates, partially destroying the contact network. This effort suggests that basal forces can be used to interpret complex granular processes in geophysical flows.
Anneal-free ultra-low loss silicon nitride integrated photonics
Authors: Bose Debapam , Harrington Mark W. , Isichenko Andrei , Liu Kaikai , Wang Jiawei , Chauhan Nitesh , Newman Zachary L. , Blumenthal Daniel J.
Published: July 2024

Heterogeneous and monolithic integration of the versatile low-loss silicon nitride platform with low-temperature materials such as silicon electronics and photonics, III–V compound semiconductors, lithium niobate, organics, and glasses has been inhibited by the need for high-temperature annealing as well as the need for different process flows for thin and thick waveguides. New techniques are needed to maintain the state-of-the-art losses, nonlinear properties, and CMOS-compatible processes while enabling this next generation of 3D silicon nitride integration. We report a significant advance in silicon nitride integrated photonics, demonstrating the lowest losses to date for an anneal-free process at a maximum temperature 250 °C, with the same deuterated silane based fabrication flow, for nitride and oxide, for an order of magnitude range in nitride thickness without requiring stress mitigation or polishing. We report record low anneal-free losses for both nitride core and oxide cladding, enabling 1.77 dB m-1 loss and 14.9 million Q for 80 nm nitride core waveguides, more than half an order magnitude lower loss than previously reported sub 300 °C process. For 800 nm-thick nitride, we achieve as good as 8.66 dB m−1 loss and 4.03 million Q, the highest reported Q for a low temperature processed resonator with equivalent device area, with a median of loss and Q of 13.9 dB m−1 and 2.59 million each respectively. We demonstrate laser stabilization with over 4 orders of magnitude frequency noise reduction using a thin nitride reference cavity, and using a thick nitride micro-resonator we demonstrate OPO, over two octave supercontinuum generation, and four-wave mixing and parametric gain with the lowest reported optical parametric oscillation threshold per unit resonator length. These results represent a significant step towards a uniform ultra-low loss silicon nitride homogeneous and heterogeneous platform for both thin and thick waveguides capable of linear and nonlinear photonic circuits and integration with low-temperature materials and processes.
Bovine colostrum prevents formula-induced gut microbiota dysbiosis in preterm pigs
Authors: Yang Lin , Hui Yan , Thymann Thomas , Nielsen Dennis Sandris , Jiang Ping-Ping , Sangild Per Torp
Published: July 2024

Background

Preterm birth and formula feeding increase the risk of necrotizing enterocolitis (NEC), a gut inflammatory disease known to be associated with gut microbiota (GM) changes in infants. Supplemental bovine colostrum may protect against formula-induced NEC via GM changes. We hypothesised that feeding colostrum before, after, or during formula feeding affects NEC sensitivity via changes to GM.

Methods

Colonic GM (profiled by 16S ribosomal RNA gene amplicon sequencing) was compared in preterm pigs fed colostrum for 4 days, either before, after, or together with formula feeding for 4 days. Correlations between GM and gut parameters were assessed on day 5 or 9.

Results

Both exclusive and partial colostrum feeding induced higher GM diversity, lower Enterococcus abundance, and improved intestinal maturation parameters (villus structure, digestive enzyme activities, permeability), relative to exclusive formula feeding (all p < 0.05). Across feeding regimens, Enterococcus abundance was inversely correlated with intestinal maturation parameters. Conversely, there was no correlation between GM changes and early NEC lesions.

Conclusion

Bovine colostrum inhibits formula-induced Enterococcus overgrowth and gut dysfunctions just after preterm birth but these effects are not causally linked. Optimising diet-related host responses, not GM, may be critical to prevent NEC in preterm newborn pigs and infants.

Impact

Supplement of bovine colostrum to formula feeding modified the gut microbiota by increasing species diversity and reducing Enterococcus abundance, while concurrently improving intestinal functions in preterm pigs.

Diet-related changes to the gut microbiota were not clearly associated with development of necrotizing enterocolitis (NEC) in preterm pigs, suggesting that diet-related gut microbiota effects are not critical for diet-related NEC protection.

The study highlights the potential to use bovine colostrum as a supplement to formula feeding for preterm infants lacking human milk.
Modulation of dlPFC function and decision-making capacity by repetitive transcranial magnetic stimulation in methamphetamine use disorder
Authors: Liu Qingming , Cui Huimin , Li Jiali , Shen Ying , Zhang Lei , Zheng Hui
Published: July 2024

This study explores the impact of repetitive transcranial magnetic stimulation (rTMS) on decision-making capabilities in individuals with methamphetamine use disorder (MUD), alongside potential underlying psychological mechanisms. Employing the Iowa Gambling Task (IGT) and computational modeling techniques, we assessed the decision-making processes of 50 male MUD participants (24 underwent rTMS treatment, 26 received no treatment) and 39 healthy controls (HC). We compared pre- and post-rTMS treatment alterations in the left dorsolateral prefrontal cortex (dlPFC). Results revealed inferior performance in the IGT among the MUD group, characterized by aberrant model parameters in the Value-Plus-Perseverance (VPP) model, including heightened learning rate, outcome sensitivity, and reinforcement learning weight, alongside diminished response consistency and loss aversion. RTMS treatment demonstrated efficacy in reducing craving scores, enhancing decision-making abilities, and partially restoring normalcy to certain model parameters in the MUD cohort. Nonetheless, no linear relationship between changes in model parameters and craving was observed. These findings lend support to the somatic marker hypothesis, implicating the dlPFC in the decision-making deficits observed in MUD, with rTMS potentially ameliorating these deficits by modulating the function of these brain regions. This study not only offers novel insights and methodologies for MUD rehabilitation but also underscores the necessity for further research to corroborate and refine these findings. Trial Registration www.chictr.org.cn Identifier: No. ChiCTR17013610.
Daratumumab in transplant-eligible patients with newly diagnosed multiple myeloma: final analysis of clinically relevant subgroups in GRIFFIN
Authors: Chari Ajai , Kaufman Jonathan L. , Laubach Jacob , Sborov Douglas W. , Reeves Brandi , Rodriguez Cesar , Silbermann Rebecca , Costa Luciano J. , Anderson Larry D. , Nathwani Nitya , Shah Nina , Bumma Naresh , Holstein Sarah A. , Costello Caitlin , Jakubowiak Andrzej , Wildes Tanya M. , Orlowski Robert Z. , Shain Kenneth H. , Cowan Andrew J. , Pei Huiling , Cortoos Annelore , Patel Sharmila , Lin Thomas S. , Voorhees Peter M. , Usmani Saad Z. , Richardson Paul G.
Published: July 2024

The randomized, phase 2 GRIFFIN study (NCT02874742) evaluated daratumumab plus lenalidomide/bortezomib/dexamethasone (D-RVd) in transplant-eligible newly diagnosed multiple myeloma (NDMM). We present final post hoc analyses (median follow-up, 49.6 months) of clinically relevant subgroups, including patients with high-risk cytogenetic abnormalities (HRCAs) per revised definition (del[17p], t[4;14], t[14;16], t[14;20], and/or gain/amp[1q21]). Patients received 4 induction cycles (D-RVd/RVd), high-dose therapy/transplant, 2 consolidation cycles (D-RVd/RVd), and lenalidomide±daratumumab maintenance (≤ 2 years). Minimal residual disease–negativity (10−5) rates were higher for D-RVd versus RVd in patients ≥ 65 years (67.9% vs 17.9%), with HRCAs (54.8% vs 32.4%), and with gain/amp(1q21) (61.8% vs 28.6%). D-RVd showed a trend toward improved progression-free survival versus RVd (hazard ratio [95% confidence interval]) in patients ≥ 65 years (0.29 [0.06–1.48]), with HRCAs (0.38 [0.14–1.01]), and with gain/amp(1q21) (0.42 [0.14–1.27]). In the functional high-risk subgroup (not MRD negative at the end of consolidation), the hazard ratio was 0.82 (0.35–1.89). Among patients ≥ 65 years, grade 3/4 treatment-emergent adverse event (TEAE) rates were higher for D-RVd versus RVd (88.9% vs 77.8%), as were TEAEs leading to discontinuation of ≥ 1 treatment component (37.0% vs 25.9%). One D-RVd patient died due to an unrelated TEAE. These results support the addition of daratumumab to RVd in transplant-eligible patients with high-risk NDMM.
Scoping an interdisciplinary model of student dental therapists in maxillofacial trauma
Authors: Sidhu Sharanbir K. , Murray Sarah M. , Chatzopoulou Domniki , Holmes Simon
Published: July 2024

Introduction This paper outlines a short pilot programme to assess the feasibility of an interdisciplinary model of involving student dental therapists in the management of maxillofacial trauma patients. It involved dental therapy students attending an oral and maxillofacial surgery trauma review clinic at a major trauma hospital in London, UK.

Approach The small cohort of 15 second-year dental hygiene and therapy (BSc in Oral Health) students attended the trauma clinic once a week in pairs, over a period of six weeks, after which they completed a survey questionnaire.

Findings No students had previous experience of dealing with trauma patients. The majority (81.8%) had learnt something by attending the clinic. Almost all (91.7%) had not thought previously about the importance of oral hygiene in maxillofacial trauma patients. By the end of the pilot programme, ten students (83.3%) felt that they had a role to play in the care of these trauma patients and they felt valued as members of the wider team.

Conclusion These initial findings suggest that the scheme has potential for incorporation of maxillofacial trauma experience within the formal dental therapy curriculum. This would prepare them for future involvement in the management of maxillofacial trauma patients to promote oral health benefits and more widely, to work as a team member in interprofessional health care.
Inhibition of topoisomerase 2 catalytic activity impacts the integrity of heterochromatin and repetitive DNA and leads to interlinks between clustered repeats
Authors: Amoiridis Michalis , Verigos John , Meaburn Karen , Gittens William H. , Ye Tao , Neale Matthew J. , Soutoglou Evi
Published: July 2024

DNA replication and transcription generate DNA supercoiling, which can cause topological stress and intertwining of daughter chromatin fibers, posing challenges to the completion of DNA replication and chromosome segregation. Type II topoisomerases (Top2s) are enzymes that relieve DNA supercoiling and decatenate braided sister chromatids. How Top2 complexes deal with the topological challenges in different chromatin contexts, and whether all chromosomal contexts are subjected equally to torsional stress and require Top2 activity is unknown. Here we show that catalytic inhibition of the Top2 complex in interphase has a profound effect on the stability of heterochromatin and repetitive DNA elements. Mechanistically, we find that catalytically inactive Top2 is trapped around heterochromatin leading to DNA breaks and unresolved catenates, which necessitate the recruitment of the structure specific endonuclease, Ercc1-XPF, in an SLX4- and SUMO-dependent manner. Our data are consistent with a model in which Top2 complex resolves not only catenates between sister chromatids but also inter-chromosomal catenates between clustered repetitive elements.
HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics
Authors: Yuan Xin , Ma Yanran , Gao Ruitian , Cui Shuya , Wang Yifan , Fa Botao , Ma Shiyang , Wei Ting , Ma Shuangge , Yu Zhangsheng
Published: July 2024

Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, a distribution-free, test-based method for fast and accurately identifying spatially variable genes in large-scale spatial transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higher $${F}_{1}$$

F

1

scores (average $${F}_{1}$$

F

1

Score=0.948), improved computational efficiency, scalability, and reduced false positives (FPs). Through analysis of twelve real datasets from various spatial transcriptomic technologies, HEARTSVG identifies a greater number of biologically significant SVGs (average AUC = 0.792) than other comparative methods without prespecifying spatial patterns. Furthermore, by clustering SVGs, we uncover two distinct tumor spatial domains characterized by unique spatial expression patterns, spatial-temporal locations, and biological functions in human colorectal cancer data, unraveling the complexity of tumors.
Mechanically induced topological transition of spectrin regulates its distribution in the mammalian cell cortex
Authors: Ghisleni Andrea , Bonilla-Quintana Mayte , Crestani Michele , Lavagnino Zeno , Galli Camilla , Rangamani Padmini , Gauthier Nils C.
Published: July 2024

The cell cortex is a dynamic assembly formed by the plasma membrane and underlying cytoskeleton. As the main determinant of cell shape, the cortex ensures its integrity during passive and active deformations by adapting cytoskeleton topologies through yet poorly understood mechanisms. The spectrin meshwork ensures such adaptation in erythrocytes and neurons by adopting different organizations. Erythrocytes rely on triangular-like lattices of spectrin tetramers, whereas in neurons they are organized in parallel, periodic arrays. Since spectrin is ubiquitously expressed, we exploited Expansion Microscopy to discover that, in fibroblasts, distinct meshwork densities co-exist. Through biophysical measurements and computational modeling, we show that the non-polarized spectrin meshwork, with the intervention of actomyosin, can dynamically transition into polarized clusters fenced by actin stress fibers that resemble periodic arrays as found in neurons. Clusters experience lower mechanical stress and turnover, despite displaying an extension close to the tetramer contour length. Our study sheds light on the adaptive properties of spectrin, which participates in the protection of the cell cortex by varying its densities in response to key mechanical features.
Single-cell resolution characterization of myeloid-derived cell states with implication in cancer outcome
Authors: Guimarães Gabriela Rapozo , Maklouf Giovanna Resk , Teixeira Cristiane Esteves , de Oliveira Santos Leandro , Tessarollo Nayara Gusmão , de Toledo Nayara Evelin , Serain Alessandra Freitas , de Lanna Cristóvão Antunes , Pretti Marco Antônio , da Cruz Jéssica Gonçalves Vieira , Falchetti Marcelo , Dimas Mylla M. , Filgueiras Igor Salerno , Cabral-Marques Otavio , Ramos Rodrigo Nalio , de Macedo Fabiane Carvalho , Rodrigues Fabiana Resende , Bastos Nina Carrossini , da Silva Jesse Lopes , Lummertz da Rocha Edroaldo , Chaves Cláudia Bessa Pereira , de Melo Andreia Cristina , Moraes-Vieira Pedro M. M. , Mori Marcelo A. , Boroni Mariana
Published: July 2024

Tumor-associated myeloid-derived cells (MDCs) significantly impact cancer prognosis and treatment responses due to their remarkable plasticity and tumorigenic behaviors. Here, we integrate single-cell RNA-sequencing data from different cancer types, identifying 29 MDC subpopulations within the tumor microenvironment. Our analysis reveals abnormally expanded MDC subpopulations across various tumors and distinguishes cell states that have often been grouped together, such as TREM2+ and FOLR2+ subpopulations. Using deconvolution approaches, we identify five subpopulations as independent prognostic markers, including states co-expressing TREM2 and PD-1, and FOLR2 and PDL-2. Additionally, TREM2 alone does not reliably predict cancer prognosis, as other TREM2+ macrophages show varied associations with prognosis depending on local cues. Validation in independent cohorts confirms that FOLR2-expressing macrophages correlate with poor clinical outcomes in ovarian and triple-negative breast cancers. This comprehensive MDC atlas offers valuable insights and a foundation for futher analyses, advancing strategies for treating solid cancers.
Observation of stacking engineered magnetic phase transitions within moiré supercells of twisted van der Waals magnets
Authors: Li Senlei , Sun Zeliang , McLaughlin Nathan J. , Sharmin Afsana , Agarwal Nishkarsh , Huang Mengqi , Sung Suk Hyun , Lu Hanyi , Yan Shaohua , Lei Hechang , Hovden Robert , Wang Hailong , Chen Hua , Zhao Liuyan , Du Chunhui Rita
Published: July 2024

Recent demonstrations of moiré magnetism, featuring exotic phases with noncollinear spin order in the twisted van der Waals (vdW) magnet chromium triiodide CrI3, have highlighted the potential of twist engineering of magnetic (vdW) materials. However, the local magnetic interactions, spin dynamics, and magnetic phase transitions within and across individual moiré supercells remain elusive. Taking advantage of a scanning single-spin magnetometry platform, here we report observation of two distinct magnetic phase transitions with separate critical temperatures within a moiré supercell of small-angle twisted double trilayer CrI3. By measuring temperature-dependent spin fluctuations at the coexisting ferromagnetic and antiferromagnetic regions in twisted CrI3, we explicitly show that the Curie temperature of the ferromagnetic state is higher than the Néel temperature of the antiferromagnetic one by ~10 K. Our mean-field calculations attribute such a spatial and thermodynamic phase separation to the stacking order modulated interlayer exchange coupling at the twisted interface of moiré superlattices.
Hierarchically porous and single Zn atom-embedded carbon molecular sieves for H2 separations
Authors: Hu Leiqing , Lee Won-Il , Roy Soumyabrata , Subramanian Ashwanth , Kisslinger Kim , Zhu Lingxiang , Fan Shouhong , Hwang Sooyeon , Bui Vinh T. , Tran Thien , Zhang Gengyi , Ding Yifu , Ajayan Pulickel M. , Nam Chang-Yong , Lin Haiqing
Published: July 2024

Hierarchically porous materials containing sub-nm ultramicropores with molecular sieving abilities and microcavities with high gas diffusivity may realize energy-efficient membranes for gas separations. However, rationally designing and constructing such pores into large-area membranes enabling efficient H2 separations remains challenging. Here, we report the synthesis and utilization of hybrid carbon molecular sieve membranes with well-controlled nano- and micro-pores and single zinc atoms and clusters well-dispersed inside the nanopores via the carbonization of supramolecular mixed matrix materials containing amorphous and crystalline zeolitic imidazolate frameworks. Carbonization temperature is used to fine-tune pore sizes, achieving ultrahigh selectivity for H2/CO2 (130), H2/CH4 (2900), H2/N2 (880), and H2/C2H6 (7900) with stability against water vapor and physical aging during a continuous 120-h test.
tRNA m1A modification regulate HSC maintenance and self-renewal via mTORC1 signaling
Authors: Zuo Hongna , Wu Aiwei , Wang Mingwei , Hong Liquan , Wang Hu
Published: July 2024

Haematopoietic stem cells (HSCs) possess unique physiological adaptations to sustain blood cell production and cope with stress responses throughout life. To maintain these adaptations, HSCs rely on maintaining a tightly controlled protein translation rate. However, the mechanism of how HSCs regulate protein translation remains to be fully elucidated. In this study, we investigate the role of transfer RNA (tRNA) m1A58 ‘writer’ proteins TRMT6 and TRMT61A in regulating HSCs function. Trmt6 deletion promoted HSC proliferation through aberrant activation of mTORC1 signaling. TRMT6-deficient HSCs exhibited an impaired self-renewal ability in competitive transplantation assay. Mechanistically, single cell RNA-seq analysis reveals that the mTORC1 signaling pathway is highly upregulated in HSC-enriched cell populations after Trmt6 deletion. m1A-tRNA-seq and Western blot analysis suggest that TRMT6 promotes methylation modification of specific tRNA and expression of TSC1, fine-tuning mTORC1 signaling levels. Furthermore, Pharmacological inhibition of the mTORC1 pathway rescued functional defect in TRMT6-deficient HSCs. To our knowledge, this study is the first to elucidate a mechanism by which TRMT6-TRMT61A complex-mediated tRNA-m1A58 modification regulates HSC homeostasis.
Modulating social learning-induced evaluation updating during human sleep
Authors: Chen Danni , Xia Tao , Yao Ziqing , Zhang Lingqi , Hu Xiaoqing
Published: July 2024

People often change their evaluations upon learning about their peers’ evaluations, i.e., social learning. Given sleep’s vital role in consolidating daytime experiences, sleep may facilitate social learning, thereby further changing people’s evaluations. Combining a social learning task and the sleep-based targeted memory reactivation technique, we asked whether social learning-induced evaluation updating can be modulated during sleep. After participants had indicated their initial evaluation of snacks, they learned about their peers’ evaluations while hearing the snacks’ spoken names. During the post-learning non-rapid-eye-movement sleep, we re-played half of the snack names (i.e., cued snack) to reactivate the associated peers’ evaluations. Upon waking up, we found that the social learning-induced evaluation updating further enlarged for both cued and uncued snacks. Examining sleep electroencephalogram (EEG) activity revealed that cue-elicited delta-theta EEG power and the overnight N2 sleep spindle density predicted post-sleep evaluation updating for cued but not for uncued snacks. These findings underscore the role of sleep-mediated memory reactivation and the associated neural activity in supporting social learning-induced evaluation updating.
Indicators to complement global monitoring of safely managed on-site sanitation to understand health risks
Authors: Mills Freya , Foster Tim , Kome Antoinette , Munankami Rajeev , Halcrow Gabrielle , Ndungu Antony , Evans Barbara , Willetts Juliet
Published: July 2024

Halfway through the Sustainable Development Goal (SDG) period, there has been little research on the criteria for monitoring safely managed sanitation under SDG target 6.2. For reporting against SDGs, global indicators are necessarily limited and exclude many safety aspects from a public health perspective. Primary survey data from 31,784 households in seven countries in Asia and Africa were analysed, comparing estimates of safely managed on-site sanitation based on global indicators with five complementary indicators of safety: animal access to excreta, groundwater contamination, overdue emptying, entering containments to empty and inadequate protection during emptying. Application of additional criteria reduced the population with safely managed sanitation by 0.4–35% for specific indicators, with the largest impact due to the risk of groundwater contamination, animal access, and containments overdue for emptying. Combining these indicators across the service chain, excluding transport and treatment, found almost three-quarters of on-site systems currently assessed as safely managed with global indicators were considered unsafe based on complementary indicators. A more comprehensive assessment of safety of on-site sanitation can be achieved through these indicators, which could be integrated into national monitoring systems and used to inform sanitation investments that address local health-related risks.
Annotated Pap cell images and smear slices for cell classification
Authors: Kupas David , Hajdu Andras , Kovacs Ilona , Hargitai Zoltan , Szombathy Zita , Harangi Balazs
Published: July 2024

Machine learning-based systems have become instrumental in augmenting global efforts to combat cervical cancer. A burgeoning area of research focuses on leveraging artificial intelligence to enhance the cervical screening process, primarily through the exhaustive examination of Pap smears, traditionally reliant on the meticulous and labor-intensive analysis conducted by specialized experts. Despite the existence of some comprehensive and readily accessible datasets, the field is presently constrained by the limited volume of publicly available images and smears. As a remedy, our work unveils APACC (Annotated PAp cell images and smear slices for Cell Classification), a comprehensive dataset designed to bridge this gap. The APACC dataset features a remarkable array of images crucial for advancing research in this field. It comprises 103,675 annotated cell images, carefully extracted from 107 whole smears, which are further divided into 21,371 sub-regions for a more refined analysis. This dataset includes a vast number of cell images from conventional Pap smears and their specific locations on each smear, offering a valuable resource for in-depth investigation and study.
Effect of the structure and volume fraction of nanophase on the mechanical properties of (FeNi)86B14 amorphous nanocrystalline alloys
Authors: Zhang Yiran , Pang Jing , Xiang Qingchun , Yang Dong , Ren Yinglei , Li Xiaoyu , Qiu Keqiang
Published: July 2024

The influence of precipitated nanophases on the mechanical properties of Fe-based amorphous nanocrystalline alloys is an urgent issue to be explored. Two amorphous nanocrystalline alloys, i.e., (Fe0.9Ni0.1)86B14 and (Fe0.7Ni0.3)86B14 containing nanophase of the body-centered cubic and face-centered cubic structures, respectively, were selected to investigate the effect of the structure and volume fraction of nanophase on their mechanical properties. The results of nanoindentation experiments and the calculation of the volume and size of the shear transition zone reveal that the two alloys show different mechanical properties. When the volume fraction of the nanophase in (Fe0.9Ni0.1)86B14 is larger than 50%, the elastic modulus is increased suddenly and the volume and size of the shear transition zone is decreased dramatically, while no dramatic change occurs in (Fe0.7Ni0.3)86B14. Moreover, it was found by using molecular dynamics simulations that the main reason for these abnormal mechanical properties is the change of cluster type in the system due to the incorporation of nanophases with different structures.