bluuebunny/crossref_metadata_2025 huggingface dataset:
Becoming a nun in the absence of her husband: male migration and female religiosity in nineteenth-century China
Authors: Chen Gilbert Z.
Published: October 2023

This article investigates the impact of male migration on left-behind women in nineteenth-century Chongqing, focusing on the intersection among gender, migration, and religion. It analyze the unintended consequences of failed male migration, in which the husband's failure to send regular remittances was prone to cause tremendous anxiety and financial difficulties for his wife. In the absence of strong male-centered kinship organizations, Chongqingese women exploited unorthodox options to support themselves. Buddhist monasticism proved appealing because it provided both a stable source of livelihood and an inclusive all-female space. However, female renunciation was controversial because it challenged state-sponsored patriarchal values. Returned husbands enlisted the state's help in revoking their wives' religious decisions. Paradoxically, for vulnerable women like concubines, nunhood proved an attractive option because it helped them obtain migration-triggered divorces on favorable terms. They strategically synergized the bodily practice of monastic celibacy with the discourse of female chastity to assure their estranged spouses of lifelong commitments to non-remarriage. By doing so, these women succeeded in receiving generous financial compensation. This study highlights how the combination of religion and translocality enabled women to renegotiate their positionality within the patriarchy.
Drug-microbiota interactions: an emerging priority for precision medicine
Authors: Zhao Qing , Chen Yao , Huang Weihua , Zhou Honghao , Zhang Wei
Published: October 2023

Individual variability in drug response (IVDR) can be a major cause of adverse drug reactions (ADRs) and prolonged therapy, resulting in a substantial health and economic burden. Despite extensive research in pharmacogenomics regarding the impact of individual genetic background on pharmacokinetics (PK) and pharmacodynamics (PD), genetic diversity explains only a limited proportion of IVDR. The role of gut microbiota, also known as the second genome, and its metabolites in modulating therapeutic outcomes in human diseases have been highlighted by recent studies. Consequently, the burgeoning field of pharmacomicrobiomics aims to explore the correlation between microbiota variation and IVDR or ADRs. This review presents an up-to-date overview of the intricate interactions between gut microbiota and classical therapeutic agents for human systemic diseases, including cancer, cardiovascular diseases (CVDs), endocrine diseases, and others. We summarise how microbiota, directly and indirectly, modify the absorption, distribution, metabolism, and excretion (ADME) of drugs. Conversely, drugs can also modulate the composition and function of gut microbiota, leading to changes in microbial metabolism and immune response. We also discuss the practical challenges, strategies, and opportunities in this field, emphasizing the critical need to develop an innovative approach to multi-omics, integrate various data types, including human and microbiota genomic data, as well as translate lab data into clinical practice. To sum up, pharmacomicrobiomics represents a promising avenue to address IVDR and improve patient outcomes, and further research in this field is imperative to unlock its full potential for precision medicine.
PRMT6 methylation of STAT3 regulates tumor metastasis in breast cancer
Authors: Chen Qianzhi , Hu Qingyi , Chen Yan , Shen Na , Zhang Ning , Li Anshu , Li Lei , Li Junjun
Published: October 2023

Overcoming distant metastasis stands as a paramount challenge in enhancing the outcomes of breast cancer treatments. Thus, delving deeper into comprehending the intricate mechanisms underlying breast cancer metastasis becomes imperative, offering potential avenues for pioneering therapeutic approaches. PRMT6, an arginine N-methyltransferase, possesses the ability to methylate both histone and non-histone proteins. It has been reported that methylation of non-histone proteins impacts their cellular localization, stability, and activation, consequently influencing tumor progression. However, the extent to which PRMT6-mediated non-histone protein methylation influences cancer cell metastasis, particularly in the context of breast cancer, remains elusive. In this study, we established that PRMT6 exerted a positive regulatory influence on breast cancer metastasis through both in vivo and in vitro experiments. Mechanistically, we innovatively revealed that PRMT6 asymmetrically di-methylated STAT3 at arginine 729 (STAT3 R729me2a). This modification proved indispensable for STAT3’s membrane localization, its interaction with JAK2, STAT3 Y705 phosphorylation, and PRMT6-driven cancer cell metastasis. From a clinical perspective, we unearthed the promising potential of STAT3 R729me2a as a robust prognostic marker for predicting the overall survival time of breast cancer patients. In terms of therapeutic intervention, we demonstrated the significant capability of the PRMT6 inhibitor, EPZ020411, to curtail breast cancer metastasis both in vivo and in vitro. In sum, our study unveils the pivotal biological role of PRMT6-mediated STAT3 R729me2a in breast cancer metastasis and underscores the prospective utility of PRMT6 inhibitors as effective therapeutic strategies against STAT3-driven metastatic breast cancer.
CDCA8 promotes bladder cancer survival by stabilizing HIF1α expression under hypoxia
Authors: Zhou Qiang , Huang Wei , Xiong Jing , Guo Biao , Wang Xinghuan , Guo Ju
Published: October 2023

Hypoxia is an essential hallmark of solid tumors and HIF1α is a central regulator of tumor cell adaptation and survival in the hypoxic environment. In this study, we explored the biological functions of cell cycle division-related gene 8 (CDCA8) in bladder cancer (BCa) cells in the hypoxic settings. Specifically, we found that CDCA8 was significantly upregulated in BCa cell lines and clinical samples and its expression was positively correlated with advanced BCa stage, grade, and poor overall survival (OS). The expression of CDCA8 proteins was required for BCa cells to survive in the hypoxic condition. Mechanistically, CDCA8 stabilizes HIF1α by competing with PTEN for AKT binding, consequently leading to PTEN displacement and activation of the AKT/GSK3β signaling cascade that stimulates HIF1α protein stability. Significantly, HIF1α proteins bind to CDCA8 promoter for transcriptional activation, forming a positive-feedback loop to sustain BCa tumor cells under oxygen-deficient environment. Together, we defined CDCA8 as a key regulator for BCa cells to sense and prevail oxygen deprivation and as a novel BCa therapeutic target.
Carrier multiplication in perovskite solar cells with internal quantum efficiency exceeding 100%
Authors: Wang Yue , Ye Senyun , Lim Jia Wei Melvin , Giovanni David , Feng Minjun , Fu Jianhui , Krishnamoorthy Harish N S , Zhang Qiannan , Xu Qiang , Cai Rui , Sum Tze Chien
Published: October 2023

Carrier multiplication (CM) holds great promise to break the Shockley-Queisser limit of single junction photovoltaic cells. Despite compelling spectroscopic evidence of strong CM effects in halide perovskites, studies in actual perovskite solar cells (PSCs) are lacking. Herein, we reconcile this knowledge gap using the testbed Cs0.05FA0.5MA0.45Pb0.5Sn0.5I3 system exhibiting efficient CM with a low threshold of 2Eg (~500 nm) and high efficiency of 99.4 ± 0.4%. Robust CM enables an unbiased internal quantum efficiency exceeding 110% and reaching as high as 160% in the best devices. Importantly, our findings inject fresh insights into the complex interplay of various factors (optical and parasitic absorption losses, charge recombination and extraction losses, etc.) undermining CM contributions to the overall performance. Surprisingly, CM effects may already exist in mixed Pb-Sn PSCs but are repressed by its present architecture. A comprehensive redesign of the existing device configuration is needed to leverage CM effects for next-generation PSCs.
Phase regulation enabling dense polymer-based composite electrolytes for solid-state lithium metal batteries
Authors: Wu Qian , Fang Mandi , Jiao Shizhe , Li Siyuan , Zhang Shichao , Shen Zeyu , Mao Shulan , Mao Jiale , Zhang Jiahui , Tan Yuanzhong , Shen Kang , Lv Jiaxing , Hu Wei , He Yi , Lu Yingying
Published: October 2023

Solid polymer electrolytes with large-scale processability and interfacial compatibility are promising candidates for solid-state lithium metal batteries. Among various systems, poly(vinylidene fluoride)-based polymer electrolytes with residual solvent are appealing for room-temperature battery operations. However, their porous structure and limited ionic conductivity hinder practical application. Herein, we propose a phase regulation strategy to disrupt the symmetry of poly(vinylidene fluoride) chains and obtain the dense composite electrolyte through the incorporation of MoSe2 sheets. The electrolyte with high dielectric constant can optimize the solvation structures to achieve high ionic conductivity and low activation energy. The in-situ reactions between MoSe2 and Li metal generate Li2Se fast conductor in solid electrolyte interphase, which improves the Coulombic efficiency and interfacial kinetics. The solid-state Li||Li cells achieve robust cycling at 1 mA cm−2, and the Li||LiNi0.8Co0.1Mn0.1O2 full cells show practical performance at high rate (3C), high loading (2.6 mAh cm−2) and in pouch cell.
Deep mutational scanning reveals the molecular determinants of RNA polymerase-mediated adaptation and tradeoffs
Authors: Choudhury Alaksh , Gachet Benoit , Dixit Zoya , Faure Roland , Gill Ryan T. , Tenaillon Olivier
Published: October 2023

RNA polymerase (RNAP) is emblematic of complex biological systems that control multiple traits involving trade-offs such as growth versus maintenance. Laboratory evolution has revealed that mutations in RNAP subunits, including RpoB, are frequently selected. However, we lack a systems view of how mutations alter the RNAP molecular functions to promote adaptation. We, therefore, measured the fitness of thousands of mutations within a region of rpoB under multiple conditions and genetic backgrounds, to find that adaptive mutations cluster in two modules. Mutations in one module favor growth over maintenance through a partial loss of an interaction associated with faster elongation. Mutations in the other favor maintenance over growth through a destabilized RNAP-DNA complex. The two molecular handles capture the versatile RNAP-mediated adaptations. Combining both interaction losses simultaneously improved maintenance and growth, challenging the idea that growth-maintenance tradeoff resorts only from limited resources, and revealing how compensatory evolution operates within RNAP.
Deep flanking sequence engineering for efficient promoter design using DeepSEED
Authors: Zhang Pengcheng , Wang Haochen , Xu Hanwen , Wei Lei , Liu Liyang , Hu Zhirui , Wang Xiaowo
Published: October 2023

Designing promoters with desirable properties is essential in synthetic biology. Human experts are skilled at identifying strong explicit patterns in small samples, while deep learning models excel at detecting implicit weak patterns in large datasets. Biologists have described the sequence patterns of promoters via transcription factor binding sites (TFBSs). However, the flanking sequences of cis-regulatory elements, have long been overlooked and often arbitrarily decided in promoter design. To address this limitation, we introduce DeepSEED, an AI-aided framework that efficiently designs synthetic promoters by combining expert knowledge with deep learning techniques. DeepSEED has demonstrated success in improving the properties of Escherichia coli constitutive, IPTG-inducible, and mammalian cell doxycycline (Dox)-inducible promoters. Furthermore, our results show that DeepSEED captures the implicit features in flanking sequences, such as k-mer frequencies and DNA shape features, which are crucial for determining promoter properties.
Dual-modal piezotronic transistor for highly sensitive vertical force sensing and lateral strain sensing
Authors: Ge Rui , Yu Qiuhong , Zhou Feng , Liu Shuhai , Qin Yong
Published: October 2023

Mechanical sensors are mainly divided into two types (vertical force sensing and lateral strain sensing). Up to now, one sensor with two working modes is still a challenge. Here, we demonstrate a structural design concept combing a piezoelectric nano/microwire with a flexible polymer with protrusions that enables a dual-modal piezotronic transistor (DPT) with two working modes for highly sensitive vertical force sensing and lateral strain sensing. For vertical force sensing, DPT exhibits a force sensitivity up to 221.5 N−1 and a minimum identifiable force down to 21 mN, corresponding to a pressure sensitivity of 1.759 eV/MPa. For lateral strain sensing, DPT can respond to a large compression strain (~5.8%) with an on/off ratio up to 386.57 and a gauge factor up to 8988.6. It is a universal design that can integrate vertical force sensing and lateral strain sensing into only one nanodevice, providing a feasible strategy for multimodal devices.
Joining of metallic glasses in liquid via ultrasonic vibrations
Authors: Li Luyao , Li Xin , Huang Zhiyuan , Huang Jinbiao , Liu Zehang , Fu Jianan , Wen Wenxin , Zhang Yu , Huang Shike , Ren Shuai , Ma Jiang
Published: October 2023

Joining processes especially for metallic materials play critical roles in manufacturing industries and structural applications, therefore they are essential to human life. As a more complex technique, under-liquid joining has far-reaching implications for national defense, offshore mining. Furthermore, up-to-now, the effective joining of metals in extreme environments, such as the flammable organo-solvent or the arctic liquid nitrogen, is still uninvestigated. Therefore, an efficient under-liquid joining approach is urgently called for. Here we report a method to join different types of metallic glasses under water, seawater, alcohol and liquid-nitrogen. The dynamic heterogeneity and liquid-like region expansion induces fluid-like behavior under ultrasonic vibration to promote oxide layer dispersion and metal bonding, allowing metallic glasses to be successfully joined in heat-free conditions, while still exhibiting excellent tensile strength (1522 MPa), bending strength (2930 MPa) and improved corrosion properties. Our results provide a promising strategy for manufacturing under offshore, polar, oil-gas and space environments.
Surfactant-free interfacial growth of graphdiyne hollow microspheres and the mechanistic origin of their SERS activity
Authors: Zhang Lu , Yi Wencai , Li Junfang , Wei Guoying , Xi Guangcheng , Mao Lanqun
Published: October 2023

As a two-dimensional carbon allotrope, graphdiyne possesses a direct band gap, excellent charge carrier mobility, and uniformly distributed pores. Here, a surfactant-free growth method is developed to efficiently synthesize graphdiyne hollow microspheres at liquid‒liquid interfaces with a self-supporting structure, which avoids the influence of surfactants on product properties. We demonstrate that pristine graphdiyne hollow microspheres, without any additional functionalization, show a strong surface-enhanced Raman scattering effect with an enhancement factor of 3.7 × 107 and a detection limit of 1 × 10−12 M for rhodamine 6 G, which is approximately 1000 times that of graphene. Experimental measurements and first-principles density functional theory simulations confirm the hypothesis that the surface-enhanced Raman scattering activity can be attributed to an efficiency interfacial charge transfer within the graphdiyne-molecule system.
A facile strategy for fabrication of nanocomposite ultrafiltration membrane: oily wastewater treatment and photocatalytic self-cleaning
Authors: Baig Umair , Waheed Abdul
Published: October 2023

Understanding the importance of reclaiming water from a huge oily wastewater stream generated during the drilling of oil in the petroleum industry and mitigating membrane fouling, a polymeric-inorganic nanocomposite membrane was fabricated with self-cleaning properties. The photocatalytic TiO2 nanoparticles were embedded in the polyvinylidene fluoride (PVDF) matrix during wet phase inversion. To enhance the separation potential and photocatalytic activity of TiO2 nanoparticles, a conjugated polypyrrole (PPy) was grown on the membrane through oxidative polymerization leading to an active layer composed of PPy@TiO2 nano-photocatalyst. The study of membrane wettability revealed the hydrophilic and underwater superoleophobic nature of the PPy@TiO2/PVDF membrane. The PPy@TiO2/PVDF membrane was applied for treating water-containing emulsified oily feed. Different types of feeds contaminated by different oils such as motor oil, diesel oil, and crude oil were studied. The separation efficiency of the PPy@TiO2/PVDF membrane stayed above 99% as the membrane allowed only water to permeate while oil was rejected. The permeate pure water flux was found to be dependent upon feed pressure and the nature of oil in the feed. While keeping the separation efficiency constant at 99%, the flux was decreased with increasing concentration of oil in the feed which is attributed to the fouling of the membrane. The fouled membrane was photo-catalytically cleaned by exposing the fouled PPy@TiO2/PVDF membrane to solar-simulated visible light as the surface features of the cleaned membrane completely resembled that of the pristine PPy@TiO2/PVDF membrane.
Antiviral responses are shaped by heterogeneity in viral replication dynamics
Authors: Bruurs Lucas J. M. , Müller Micha , Schipper Jelle G. , Rabouw Huib H. , Boersma Sanne , van Kuppeveld Frank J. M. , Tanenbaum Marvin E.
Published: October 2023

Antiviral signalling, which can be activated in host cells upon virus infection, restricts virus replication and communicates infection status to neighbouring cells. The antiviral response is heterogeneous, both quantitatively (efficiency of response activation) and qualitatively (transcribed antiviral gene set). To investigate the basis of this heterogeneity, we combined Virus Infection Real-time IMaging (VIRIM), a live-cell single-molecule imaging method, with real-time readouts of the dsRNA sensing pathway to analyse the response of human cells to encephalomyocarditis virus (EMCV) infection. We find that cell-to-cell heterogeneity in viral replication rates early in infection affect the efficiency of antiviral response activation, with lower replication rates leading to more antiviral response activation. Furthermore, we show that qualitatively distinct antiviral responses can be linked to the strength of the antiviral signalling pathway. Our analyses identify variation in early viral replication rates as an important parameter contributing to heterogeneity in antiviral response activation.
Intravenous Bacille Calmette–Guérin vaccination protects simian immunodeficiency virus-infected macaques from tuberculosis
Authors: Larson Erica C. , Ellis-Connell Amy L. , Rodgers Mark A. , Gubernat Abigail K. , Gleim Janelle L. , Moriarty Ryan V. , Balgeman Alexis J. , Ameel Cassaundra L. , Jauro Solomon , Tomko Jaime A. , Kracinovsky Kara B. , Maiello Pauline , Borish H. Jake , White Alexander G. , Klein Edwin , Bucsan Allison N. , Darrah Patricia A. , Seder Robert A. , Roederer Mario , Lin Philana Ling , Flynn JoAnne L. , O’Connor Shelby L. , Scanga Charles A.
Published: October 2023

Tuberculosis, caused by Mycobacterium tuberculosis (Mtb), is the most common cause of death in people living with human immunodeficiency virus (HIV). Intra-dermal Bacille Calmette–Guérin (BCG) delivery is the only licensed vaccine against tuberculosis; however, it offers little protection from pulmonary tuberculosis in adults and is contraindicated in people living with HIV. Intravenous BCG confers protection against Mtb infection in rhesus macaques; we hypothesized that it might prevent tuberculosis in simian immunodeficiency virus (SIV)-infected macaques, a model for HIV infection. Here intravenous BCG-elicited robust airway T cell influx and elevated plasma and airway antibody titres in both SIV-infected and naive animals. Following Mtb challenge, all 7 vaccinated SIV-naive and 9 out of 12 vaccinated SIV-infected animals were protected, without any culturable bacteria detected from tissues. Peripheral blood mononuclear cell responses post-challenge indicated early clearance of Mtb in vaccinated animals, regardless of SIV infection. These data support that intravenous BCG is immunogenic and efficacious in SIV-infected animals.
Microglia and complement mediate early corticostriatal synapse loss and cognitive dysfunction in Huntington’s disease
Authors: Wilton Daniel K. , Mastro Kevin , Heller Molly D. , Gergits Frederick W. , Willing Carly Rose , Fahey Jaclyn B. , Frouin Arnaud , Daggett Anthony , Gu Xiaofeng , Kim Yejin A. , Faull Richard L. M. , Jayadev Suman , Yednock Ted , Yang X. William , Stevens Beth
Published: October 2023

Huntington’s disease (HD) is a devastating monogenic neurodegenerative disease characterized by early, selective pathology in the basal ganglia despite the ubiquitous expression of mutant huntingtin. The molecular mechanisms underlying this region-specific neuronal degeneration and how these relate to the development of early cognitive phenotypes are poorly understood. Here we show that there is selective loss of synaptic connections between the cortex and striatum in postmortem tissue from patients with HD that is associated with the increased activation and localization of complement proteins, innate immune molecules, to these synaptic elements. We also found that levels of these secreted innate immune molecules are elevated in the cerebrospinal fluid of premanifest HD patients and correlate with established measures of disease burden.

In preclinical genetic models of HD, we show that complement proteins mediate the selective elimination of corticostriatal synapses at an early stage in disease pathogenesis, marking them for removal by microglia, the brain’s resident macrophage population. This process requires mutant huntingtin to be expressed in both cortical and striatal neurons. Inhibition of this complement-dependent elimination mechanism through administration of a therapeutically relevant C1q function-blocking antibody or genetic ablation of a complement receptor on microglia prevented synapse loss, increased excitatory input to the striatum and rescued the early development of visual discrimination learning and cognitive flexibility deficits in these models. Together, our findings implicate microglia and the complement cascade in the selective, early degeneration of corticostriatal synapses and the development of cognitive deficits in presymptomatic HD; they also provide new preclinical data to support complement as a therapeutic target for early intervention.
Evaluation on interactive waiting experience design of mobile internet products based on machine learning
Authors: Yu Yi
Published: October 2023

In today’s rapidly changing economy, efficient lifestyle has become the current situation of most mobile product users. With the development of performance tools and technologies, a fast lifestyle has brought more wealth and opportunities to users. The slow pace and fluctuating time are indirect income losses, which cause user anxiety to some extent. When the waiting time exceeds the user’s waiting threshold, users would experience negative emotions, such as boredom, anxiety and anger, and product satisfaction would drop significantly. Therefore, by analyzing the uniqueness of mobile Internet products and the characteristics of users, this paper studied the reasons and influencing factors of product interactive waiting, and then used machine learning algorithm to analyze the cost function of interactive waiting experience. Finally, the corresponding interactive waiting experience design strategy was proposed. By comparison, the user experience after product interaction optimization design was 8.4% higher than that before product interaction optimization design, and the user frequency was also 14.7% higher after optimization design. In short, user experience plays an important role in product interaction design.
The lethal and sterile doses of gamma radiation on the museums pest, varied carpet beetle, Anthrenus verbasci (Coleoptera: Dermestidae)
Authors: Hamza Ali , Zahran Nagwan , shafeay Nagwa El
Published: October 2023

Museums preserve historical cultural artifacts and serve as an essential resource for current and future generations seeking first-hand knowledge about the diversity of life on Earth. However, significant changes in climate from temperature and humidity cause serious biotic degradation. Despite ongoing insect control treatments, insect pests are still a major problem for museums due to the lack of suitable and unsafe environments that are provided for the storage and display of the collection. The varied carpet beetle, Anthrenus verbasci (Coleoptera: Dermestidae) is one of the major stored product pests whose larvae cause serious damage to household items and museum specimens. Therefore, this research aims to study the effect of gamma radiation on the larval, pupal and adult stages. The effects of gamma radiation have been studied on 3rd instar larvae (100, 200, 300, 400 and 500 Gy). The results showed that mortality in the larval stage significantly increased with increasing gamma radiation dose, which was reflected in the eclosion of the adult stage. The exposure of one-day-old pupae to 200, 400, 600, 800 and 1000 Gy of gamma radiation showed that the higher the dose, the lower the percentage of adult emergence. Additionally, there was a significant increase in the percentage of mortality in A. verbasci adults with increasing radiation doses when the newly emerged adults were irradiated with 200, 400, 600, 800 and 1000 Gy. The LD50 and LD90 of gamma radiation doses on larvae, pupae and adults were calculated, and the malformations in all stages were photographed. The fecundity and fertility of A. verbasci adults that were exposed to radiation as one-day-old pupae decreased gradually with increasing doses of gamma radiation and reached 100% sterility when exposed to a dose of 150 Gy. Among all the treatments, the sterile dose (150 Gy) or lethal dose (1000 Gy) showed superior performance over other treatments and was adjudged as the best treatments, which prevented the subsequent development and complete mortality of the pest.
Impact of catheter tip to hepatic vein ostium distance on the validity and prognostication of hepatic venous pressure gradient in cirrhosis
Authors: Tan Hiang Keat , Tan Alfred Bingchao , Teh Kevin Kim Jun , Gogna Apoorva , Too Chow Wei , Leong Sum , Chang Jason Pik Eu
Published: October 2023

Hepatic venous pressure gradient (HVPG) is an accurate measure of portal hypertension in cirrhosis. However, the effect of catheter tip distance from hepatic vein ostium (HVO) on HVPG is unknown. We performed a retrospective study on 228 patients with 307 HVPGs in our institution. The objectives of this study were to assess the effect of catheter position on the validity of HVPG and its prognostication in cirrhosis. In this study, free hepatic vein pressure (FHVP) was considered optimal when difference between FHVP and inferior vena cava pressure was ≤ 2 mmHg. HVPG progressively decreased (p < 0.001) when measured at increasing distance from HVO due to an increasing FHVP (p = 0.036) but an unchanged wedged hepatic vein pressure (p = 0.343). Catheter tip distance > 5 to ≤ 8 cm [odds ratio {OR} 0.16 (95% CI 0.05–0.47), p = 0.001] and > 8 cm [OR 0.14 (95% CI 0.04–0.47), p = 0.002] compared to ≤ 3 cm from HVO were independent predictors of not achieving optimal FHVP. Baseline HVPG ≥ 16 mmHg was strongly associated with deaths due to cirrhosis and liver transplantation for end-stage liver disease compared to HVPG < 16 mmHg when FHVP was optimal (p < 0.001) but not when it was suboptimal (p = 0.359). Our study showed that FHVP is spuriously elevated when measured at > 5 cm from HVO, resulting in inaccurately low HVPG.
Post-activation performance enhancement effect of drop jump on long jump performance during competition
Authors: dos Santos Silva Devisson , Boullosa Daniel , Moura Pereira Erika Vitoria , de Jesus Alves Micael Deivison , de Sousa Fernandes Matheus Santos , Badicu Georgian , Yagin Fatma Hilal , Aidar Felipe J. , dos Santos Leila Fernanda , do Nascimento Hortencia Reis , Ardigò Luca Paolo , de Souza Raphael Fabricio
Published: October 2023

Drop jump is widely used in training sessions, aiming for chronic effects on long jump performance. However, the acute effect of drop jump on long jump performance through its use as a Conditioning Activity (CA) has not been explored. The objective of this study was to verify the Post-activation Performance Enhancement (PAPE) responses induced by successive Drop Jumps (DJ) on competitive long jump performance. Eleven male jumpers (19.0 ± 2.0 years; 178.0 ± 9.0 cm; 73.1 ± 8.9 kg; and personal record 5.78 ± 0.44 m) volunteered for participation. The athletes performed 5 drop jumps 2 min (1′45–2′15 min) before the second, and fourth attempt during official competition of state level, the attempts without the use of CA were considered controls. The performance of the second (5.63 ± 0.43 m), third (5.65 ± 0.46, g = 0.24) and fourth (5.71 ± 0.34 m) jumps performed after activation were higher than the first (5.54 ± 0.45 m) in the control condition, p = 0.02, and p = 0.01 respectively. Differences were also found in the take-off vertical velocity of the jump between the fourth (1.55 ± 0.21) and the first jump (1.30 ± 0.40), p = 0.006. Jump performance showed positive correlation with approach velocity, r = 0.731, vertical take-off velocity, r = 0.412, and take-off duration, r = 0.508. The mean performance in jumping post-activation (5.67 ± 0.38 m) was higher than that without the use of previous CA (5.59 ± 0.44 m), p = 0.02, g = 0.19. The use of DJs as a CA prior to the long jump promotes improvements in the performance of the jump, which can be explained by the increase in the take-off vertical velocity in the athletes.
A novel method for extracting metals from asteroids using non-aqueous deep eutectic solvents
Authors: Rivera Rodolfo Marin , Bird Philip , Jenkin Gawen R. T. , Abbott Andrew P.
Published: October 2023

Extra-terrestrial mining and metal processing are vital for access to strategic metals for space exploration. This study demonstrates for the first time the catalytic dissolution of metals from meteorite proxies of metal-rich asteroids using a deep eutectic solvent (DES). DESs are of particular interest for extra-terrestrial mining as they can be designed to have relatively low vapour pressures and could potentially be made from organic waste products created in extra-terrestrial settlements. Three types of meteorites were investigated: two chondrites (H3, H5) and one iron (IAB-MG) meteorite. Chondrite samples were composed of silicates (olivine, pyroxene) with metal-rich phases occurring as native metal alloys, sulphides and oxides. Metallic Fe–Ni and troilite (FeS) are the most abundant metal-bearing phases in all three samples, particularly in the iron-rich meteorite. The samples were subjected to chemical micro-etching experiments with iodine and iron(III) chloride as oxidising agents in a DES formed from the mixture of choline chloride and ethylene glycol. Micro-etching experiments demonstrated that Fe–Ni rich phases are effectively leached out in this system, while other mineral phases remain unreactive.
Improved performance of an intensive care unit after changing the admission triage model
Authors: Larangeira Alexandre S. , Mezzaroba Ana Luiza , Morakami Fernanda K. , Cardoso Lucienne T. Q. , Matsuo Tiemi , Grion Cintia M. C.
Published: October 2023

The aim of this study is to analyze the effect of implementing a prioritization triage model for admission to an intensive care unit on the outcome of critically ill patients. Retrospective longitudinal study of adult patients admitted to the Intensive Care Unit (ICU) carried out from January 2013 to December 2017. The primary outcome considered was vital status at hospital discharge. Patients were divided into period 1 (chronological triage) during the years 2013 and 2014 and period 2 (prioritization triage) during the years 2015–2017. A total of 1227 patients in period 1 and 2056 in period 2 were analyzed. Patients admitted in period 2 were older (59.8 years) compared to period 1 (57.3 years; p < 0.001) with less chronic diseases (13.6% vs. 19.2%; p = 0.001), and higher median APACHE II score (21.0 vs. 18.0; p < 0.001)) and TISS 28 score (28.0 vs. 27.0; p < 0.001). In period 2, patients tended to stay in the ICU for a shorter time (8.5 ± 11.8 days) compared to period 1 (9.6 ± 16.0 days; p = 0.060) and had lower mortality at ICU (32.8% vs. 36.9%; p = 0.016) and hospital discharge (44.2% vs. 47.8%; p = 0.041). The change in the triage model from a chronological model to a prioritization model resulted in improvement in the performance of the ICU and reduction in the hospital mortality rate.
Maximizing electrical output and reducing heat-related losses in photovoltaic thermal systems with a thorough examination of flow channel integration and nanofluid cooling
Authors: Allehiany F. M. , Memon Abid A. , Memon M. Asif , Fenta Amsalu
Published: October 2023

In recent years, global energy demand has surged, emphasizing the need for nations to enhance energy resources. The photovoltaic thermal (PV/T) system, capable of generating electrical energy from sunlight, is a promising renewable energy solution. However, it faces the challenge of overheating, which reduces efficiency. To address this, we introduce a flow channel within the PV/T system, allowing coolant circulation to improve electrical efficiency. Within this study, we explore into the workings of a PV/T system configuration, featuring a polycrystalline silicon panel atop a copper absorber panel. This innovative setup incorporates a rectangular flow channel, enhanced with a centrally positioned rotating circular cylinder, designed to augment flow velocity. This arrangement presents a forced convection scenario, where heat transfer primarily occurs through conduction in the uppermost two layers, while the flow channel beneath experiences forced convection. To capture this complex phenomenon, we accurately address the two-dimensional Navier–Stokes and energy equations, employing simulations conducted via COMSOL 6.0 software, renowned for its utilization of the finite element method. To optimize heat dissipation and efficiency, we introduce a hybrid nanofluid comprised of titanium oxide and silver nanoparticles dispersed in water, circulating through the flow channel. Various critical parameters come under scrutiny, including the Reynolds number, explored across the range of 100–1000, the volume fractions of both nanoparticle types, systematically tested within the range of 0.001–0.05, and the controlled speed of the circular cylinder, maintained within the range of 0.1–0.25 m/s. It was found that incorporating silver nanoparticles as a suspended component is more effective in enhancing PV/T efficiency than the addition of titanium oxide. Additionally, maintaining the volume fraction of titanium oxide between 4 and 5% yields improved efficiency, provided that the cylinder rotates at a higher speed. It was observed that cell efficiency can be regulated by adjusting four parameters, such as the Reynolds number, cylinder rotation speed, and the volume fraction of both nanoparticles.
Setup accuracy and margins for surface-guided radiotherapy (SGRT) of head, thorax, abdomen, and pelvic target volumes
Authors: Rudat Volker , Shi Yanyan , Zhao Ruping , Xu Shuyin , Yu Wei
Published: October 2023

The goal of the study was to evaluate the inter- and intrafractional patient setup accuracy of target volumes located in the head, thoracic, abdominal, and pelvic regions when using SGRT, by comparing it with that of laser alignment using patient skin marks, and to calculate the corresponding setup margins. A total of 2303 radiotherapy fractions of 183 patients were analyzed. All patients received daily kilovoltage cone-beam computed tomography scans (kV-CBCT) for online verification. From November 2019 until September 2020, patient setup was performed using laser alignment with patient skin marks, and since October 2020, using SGRT. The setup accuracy was measured by the six degrees of freedom (6DOF) corrections based on the kV-CBCT. The corresponding setup margins were calculated using the van Herk formula. Analysis of variance (ANOVA) was used to evaluate the impact of multiple factors on the setup accuracy. The inter-fractional patient setup accuracy was significantly better using SGRT compared to laser alignment with skin marks. The mean three-dimensional vector of the translational setup deviation of tumors located in the thorax, abdomen, and pelvis using SGRT was 3.6 mm (95% confidence interval (CI) 3.3 mm to 3.9 mm) and 4.5 mm using laser alignment with skin marks (95% CI 3.9 mm to 5.2 mm; p = 0.001). Calculation of setup margins for the combined inter- and intra-fractional setup error revealed similar setup margins using SGRT and kV-CBCT once a week compared to laser alignment with skin marks and kV-CBCT every other day. Furthermore, comparable setup margins were found for open-face thermoplastic masks with AlignRT compared to closed-face thermoplastic masks with laser alignment and mask marks. SGRT opens the possibility to reduce the number of CBCTs while maintaining sufficient setup accuracy. The advantage is a reduction of imaging dose and overall treatment time. Open-face thermoplastic masks may be used instead of closed-face thermoplastic masks to increase the patient's comfort.
Association of graph-based spatial features with overall survival status of glioblastoma patients
Authors: Lee Joonsang , Narang Shivali , Martinez Juan , Rao Ganesh , Rao Arvind
Published: October 2023

Glioblastoma is the most common malignant brain tumor with less than 15 months median survival. To aid prognosis, there is a need for decision tools that leverage diagnostic modalities such as MRI to inform survival. In this study, we examine higher-order spatial proximity characteristics from habitats and propose two graph-based methods (minimum spanning tree and graph run-length matrix) to characterize spatial heterogeneity over tumor MRI-derived intensity habitats and assess their relationships with overall survival as well as the immune signature status of patients with glioblastoma. A data set of 74 patients was studied based on the availability of post-contrast T1-weighted and T2-weighted fluid attenuated inversion recovery (FLAIR) image data in The Cancer Image Archive (TCIA). We assessed the predictive value of MST- and GRLM-derived features from 2D images for prediction of 12-month survival status and immune signature status of patients with glioblastoma via a receiver operating characteristic curve analysis. For 12-month survival prediction using MST-based method, sensitivity and specificity were 0.82 and 0.79 respectively. For GRLM-based method, sensitivity and specificity were 0.73 and 0.77 respectively. For immune status, sensitivity and specificity were 0.91 and 0.69, respectively, for the GRLM-based method with an immune effector. Our results show that the proposed MST- and GRLM-derived features are predictive of 12-month survival status as well as the immune signature status of patients with glioblastoma. To our knowledge, this is the first application of MST- and GRLM-based proximity analyses for the study of radiologically-defined tumor habitats in glioblastoma.
A Mendelian randomization-based approach to explore the relationship between leukocyte counts and breast cancer risk in European ethnic groups
Authors: Zhang Zhitao , Li Lei , Wu Jianbin
Published: October 2023

Exploring the potential association between peripheral blood leukocyte counts and breast cancer risk by Mendelian randomization (MR) analysis methods. Genetic data related to peripheral blood sorting counts of leukocytes were collected from a genome-wide association study by Blood Cell Consortium (BCX). Single nucleotide polymorphic loci predicting peripheral blood sorting counts of these leukocytes were selected as instrumental variables according to the correlation assumption, independence assumption and exclusivity assumption of MR. The data on breast cancer and its subtypes were obtained from Breast Cancer Association Consortium (BCAC) and FinnGen Consortium. In this study, the Inverse-Variance Weighted (IVW), Weighted Median, MR-Egger, Maximum Likelihood (ML), MR-PRESSO and Constrained Maximum Likelihood and Model Averaging (cML-MA) methods of random effects models were used for MR analysis. Cochran’s Q analysis, and MR-Egger intercept analysis were applied for sensitivity analysis. IVW and cML-MA were considered the primary analytical tools, and the results of the other 4 MRs were used as complementary and validation. The results suggest that there is no significant causal relationship between leukocyte count and breast cancer risk (IVW OR = 0.98 [95% CI: 0.93–1.03], p-value = 0.35; CML-MA OR = 1.01 [95% CI: 0.98–1.05], p-value = 0.51). In addition, we analyzed whether there was a potential correlation between the five main types of categorized leukocyte counts and different breast cancer subtypes. We did not find significant evidence to support a significant correlation between leukocyte counts and breast cancer subtypes.
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model
Authors: Fang Xiaomin , Wang Fan , Liu Lihang , He Jingzhou , Lin Dayong , Xiang Yingfei , Zhu Kunrui , Zhang Xiaonan , Wu Hua , Li Hui , Song Le
Published: October 2023

Protein structure prediction pipelines based on artificial intelligence, such as AlphaFold2, have achieved near-experimental accuracy. These advanced pipelines mainly rely on multiple sequence alignments (MSAs) as inputs to learn the co-evolution information from the homologous sequences. Nonetheless, searching MSAs from protein databases is time consuming, usually taking tens of minutes. Consequently, we attempt to explore the limits of fast protein structure prediction by using only primary structures of proteins. Our proposed method, HelixFold-Single, combines a large-scale protein language model with the superior geometric learning capability of AlphaFold2. HelixFold-Single first pre-trains a large-scale protein language model with thousands of millions of primary structures utilizing the self-supervised learning paradigm, which will be used as an alternative to MSAs for learning the co-evolution information. Then, by combining the pre-trained protein language model and the essential components of AlphaFold2, we obtain an end-to-end differentiable model to predict the three-dimensional coordinates of atoms from only the primary structure. HelixFold-Single is validated on datasets CASP14 and CAMEO, achieving competitive accuracy with the MSA-based methods on targets with large homologous families. Furthermore, HelixFold-Single consumes much less time than the mainstream pipelines for protein structure prediction, demonstrating its potential in tasks requiring many predictions.
Targeting pancreatic cancer metabolic dependencies through glutamine antagonism
Authors: Encarnación-Rosado Joel , Sohn Albert S. W. , Biancur Douglas E. , Lin Elaine Y. , Osorio-Vasquez Victoria , Rodrick Tori , González-Baerga Diana , Zhao Ende , Yokoyama Yumi , Simeone Diane M. , Jones Drew R. , Parker Seth J. , Wild Robert , Kimmelman Alec C.
Published: October 2023

Pancreatic ductal adenocarcinoma (PDAC) cells use glutamine (Gln) to support proliferation and redox balance. Early attempts to inhibit Gln metabolism using glutaminase inhibitors resulted in rapid metabolic reprogramming and therapeutic resistance. Here, we demonstrated that treating PDAC cells with a Gln antagonist, 6-diazo-5-oxo-l-norleucine (DON), led to a metabolic crisis in vitro. In addition, we observed a profound decrease in tumor growth in several in vivo models using sirpiglenastat (DRP-104), a pro-drug version of DON that was designed to circumvent DON-associated toxicity. We found that extracellular signal-regulated kinase (ERK) signaling is increased as a compensatory mechanism. Combinatorial treatment with DRP-104 and trametinib led to a significant increase in survival in a syngeneic model of PDAC. These proof-of-concept studies suggested that broadly targeting Gln metabolism could provide a therapeutic avenue for PDAC. The combination with an ERK signaling pathway inhibitor could further improve the therapeutic outcome.
Memory Technology: Development, Fundamentals, and Future Trends
Authors: Wang Zongwei , Cai Yimao
Published: October 2023

The unprecedented development in the fields of artificial intelligence (AI), big data, and the internet of things (IoT) has been booming the expansion of the digital universe where data are growing at astronomical rates. The ever-increasing performance of computing systems is aspiring advanced memory technologies for both storage and computing applications. As the current mainstream non-volatile memory (NVM) technology, flash memory will be extended and continue to dominate for several years. Alternative memory technologies exploiting new materials and concepts to go beyond flash memory for standalone as well as embedded applications are consistently pursued to either replace the classical memory solutions or to fill the gap in conventional memory hierarchies. This chapter reviews the development and fundamentals of solid-state NVM technologies including the mainstream flash memory and the most promising alternative memory technologies. Finally, the future landscape and applications of NVM technologies are discussed.
Organic Resistive Memories for Neuromorphic Electronics
Authors: Zhuang Yanling , Liu Shujuan , Zhao Qiang
Published: October 2023

With the rapid development of big data, advanced data storage technologies with lower power consumption, faster switching speed, higher integration density and larger storage capacity have become the target of storage electronics in the future. However, traditional Si-based CMOS technology and von Neumann architecture will reach their limits, which cannot satisfy the needs of ultra-high density, ultra-small size, and in-memory computing. Due to their low cost, fast speed, easy handling, high energy efficiency, good scalability and flexibility, organic resistive memories are expected to be candidates for high-density storage, logic computing, and neuromorphic computing. In this chapter, we summarize the research progress of organic resistive switching materials and devices. Firstly, the device structure, storage type and switching mechanism are introduced in detail. Secondly, the design strategies and memory properties of various organic resistive switching materials including organic small molecules, organometallic compounds, polymers, and biomaterials are systematically summarized, while the key performance parameters of the memories are also specifically mentioned. Next, the applications of memristors in neuromorphic computing such as artificial synapses, image recognition, and in-memory arithmetic and logic computing are also discussed. Finally, the current challenges and future directions in developing organic resistive memory materials and their neuromorphic devices are outlined.