bluuebunny/crossref_metadata_2025 huggingface dataset:
The unseen toll: excess mortality during covid-19 lockdowns
Authors: Ege Florian , Mellace Giovanni , Menon Seetha
Published: October 2023

In March 2020, in an attempt to slow the spread of Covid-19, several countries intervened by imposing strict lockdown measures that limited contact among people. In contrast, Sweden decided to not implement a mandatory lockdown and instead allowed people free choice on whether or not to follow the government recommendation to limit contact with others. Using the Synthetic Control Method, we estimate the causal effect of not implementing a mandatory lockdown in Sweden in the period from the end of February 2020 to the end of September 2020, a time when vaccines were as yet not available. We find that not imposing a mandatory lockdown resulted in a lower reduction of mobility and a substantial increase in mortality. Our results indicates that up to about 4411 of the 46554 deaths registered in Sweden during this period could have been avoided had Sweden implemented a mandatory lockdown. These results remain consistent when using two additional state-of-the-art estimation methods; the augmented synthetic control method and synthetic difference-in-difference.
Validation of quantitative loop-mediated isothermal amplification assay using a fluorescent distance-based paper device for detection of Escherichia coli in urine
Authors: Saengsawang Natkrittaya , Ruang-areerate Panthita , Kaeothaisong Nuanlaong , Leelayoova Saovanee , Mungthin Mathirut , Juntanawiwat Piraporn , Hanyanunt Patomroek , Potisuwan Patsanun , Kesakomol Piyanate , Butsararattanagomen Pornphan , Wichaiwong Pattarawadee , Dungchai Wijitar , Ruang-areerate Toon
Published: October 2023

Uropathogenic Escherichia coli (UPEC) causes up to 90% of urinary tract infections (UTI) which is more prevalent among females than males. In urine, patients with symptomatic UTI usually have a high concentration of bacterial infection, ≥ 105 colony-forming units (CFU) per mL, in which the culture method is regularly the gold standard diagnosis. In this study, a simple and inexpensive distance-based paper device (dPAD) combined with the fluorescent closed tube LAMP assay was validated for simultaneously screening and semi-quantifying the infection level of E. coli in 440 urine samples of patients with UTI. The dPAD could measure the LAMP amplicons and semi-quantify the levels of E. coli infection in heavy (≥ 104 CFU/mL), light (≤ 103 CFU/mL) and no infection. The sensitivity and specificity had reliable performances, achieving as high as 100 and 92.7%, respectively. The one step LAMP assay could be performed within 3 h, which was 7.5 times faster than the culture method. To empower early UTI diagnosis and fast treatment, this inexpensive dPAD tool combined with the fluorescent closed tube LAMP assay is simple, reliably fast and practically portable for point-of-care settings, particularly in resource-limited areas, which can be set up in all levels of healthcare facilities.
Machine learning regression algorithms to predict short-term efficacy after anti-VEGF treatment in diabetic macular edema based on real-world data
Authors: Shi Ruijie , Leng Xiangjie , Wu Yanxia , Zhu Shiyin , Cai Xingcan , Lu Xuejing
Published: October 2023

The objective of this retrospective study was to predict short-term efficacy of anti-vascular endothelial growth factor (VEGF) treatment in diabetic macular edema (DME) using machine learning regression models. Real-world data from 279 DME patients who received anti-VEGF treatment at Ineye Hospital of Chengdu University of TCM between April 2017 and November 2022 were analyzed. Eight machine learning regression models were established to predict four clinical efficacy indicators. The accuracy of the models was evaluated using mean absolute error (MAE), mean square error (MSE) and coefficient of determination score (R2). Multilayer perceptron had the highestR2and lowestMAEamong all models. Regression tree and lasso regression had similarR2, with lasso having lowerMAEandMSE. Ridge regression, linear regression, support vector machines and polynomial regression had lowerR2and higherMAE. Support vector machine had the lowestMSE, while polynomial regression had the highestMSE. Stochastic gradient descent had the lowestR2and highMAEandMSE. The results indicate that machine learning regression algorithms are valuable and effective in predicting short-term efficacy in DME patients through anti-VEGF treatment, and the lasso regression is the most effective ML algorithm for developing predictive regression models.
The impact of industrial robot adoption on corporate green innovation in China
Authors: Liang Lin , Lu Liujie , Su Ling
Published: October 2023

Green innovation plays a crucial role in transforming economic models and achieving sustainable development in enterprises. As an important embodiment of artificial intelligence technology, how industrial robots can effectively promote the green transformation of enterprises has become an important issue. This paper examines the impact and mechanisms of industrial robot adoption on corporate green innovation, as well as its heterogeneous effects. Using data from Chinese listed companies from 2007 to 2019, we find that industrial robot adoption has a significant positive impact on corporate green innovation, enhancing both its quantity and quality. Furthermore, our mechanism study reveals that industrial robot adoption can promote corporate green innovation by improving productivity and environmental management capabilities. Additionally, we investigate the moderating effects of various factors and conclude that the positive impact of industrial robot adoption on green innovation is more pronounced among the state-owned enterprises, enterprises with the intense market competition, as well as enterprises located in regions with higher carbon emissions intensity. This paper contributes to enrich the research on industrial robots and corporate green innovation, and provides a reference to improve environmental management and achieve a low-carbon economy in emerging markets.
Cost effectiveness of quadrivalent influenza vaccines in the elderly population of Malaysia
Authors: Aljunid Syed Mohamed , Mad Tahir Nur Syazana , Ismail Aniza , Abdul Aziz Aznida Firzah , Azzeri Amirah , Zafirah S. A. , Aizuddin Azimatun Noor
Published: October 2023

The economic burden of influenza is a significant issue within healthcare system, related to higher medical costs particularly among the elderly. Yet, influenza vaccination rates in the elderly in Malaysia were considerably low as it is not part of Malaysia’s national immunization program, with substantial mortality and morbidity consequences. Therefore, we conducted a cost-effectiveness analysis of quadrivalent influenza vaccine (QIV) for the elderly in Malaysia compared with the current no-vaccination policy. A static cost-utility model, with a lifetime horizon based on age, was used for the analysis to assess the cost-effectiveness and health outcomes associated with QIV. Univariate and probabilistic sensitivity analyses were performed to test the effects of variations in the parameters. The use of QIV in Malaysia’s elderly population would prevent 66,326 potential influenza cases and 888 potential deaths among the elderly, leading to 10,048 potential quality-adjusted life years (QALYs) gained. The QIV would also save over USD 4.4 million currently spent on influenza-related hospitalizations and reduce productivity losses by approximately USD 21.6 million. The ICER per QALY gained from a third-party payer’s perspective would be USD 2216, which is lower than the country’s gross domestic product per capita. A QIV-based vaccination program in the elderly was found to be highly cost-effective, therefore would reduce the financial burden of managing influenza and reduce pre-mature death related to this disease.
An integrative analysis reveals the prognostic value and potential functions of MTMR2 in hepatocellular carcinoma
Authors: Yao Yuanqian , Lai Jiawen , Yang Yuwen , Wang Guangyao , Lv Jianlin
Published: October 2023

Abnormal expression of myotubularin-related protein 2 (MTMR2) has been identified in certain types of cancer, leading to varying effects on tumor genesis and progression. However, the various biological significances of MTMR2 in hepatocellular carcinoma (HCC) have not been systematically and comprehensively studied. The aim of this study was to explore the role of MTMR2 in HCC. We obtained the raw data from Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Afterward, we analyzed the data using R and cBioPortal. We investigated the connection between MTMR2 and its expression, prognosis, clinical significance, methylation, genetic alterations, tumor microenvironment (TME), tumor mutation burden (TMB), and drug reactivity in HCC patients. MTMR2 expression levels in HCC cells were validated through western blotting and RT-qPCR. MTMR2 exhibits high levels of expression across a wide range of cancer types, including HCC. MTMR2 is diagnostically valuable in detecting HCC, with its up-regulated expression often being indicative of poor prognosis among HCC patients. The in vitro experiments confirmed elevated MTMR2 expression in HepG2, HUH-7, and MHCC-97H cells. Univariate and multivariate Cox analysis demonstrated that MTMR2 was an independent prognostic factor in HCC patients. The cg20195272 site has the highest degree of methylation in MTMR2, and it is positively correlated with MTMR2 expression. Patients with high levels of methylation at the cg20195272 site show poor prognosis. Analysis of the TME indicates that high expression of MTMR2 is associated with elevated ESTIMATE score and that MTMR2 expression correlates positively with infiltration by resting memory CD4 T cells, activated dendritic cells, as well as several immune checkpoints. There is a negative correlation between MTMR2 expression and TMB, and drug sensitivity analyses have shown that higher MTMR2 expression is associated with lower IC50 values. This study indicates that increased expression of MTMR2 may play a crucial role in the occurrence, progression, diagnosis, prognostic prediction and drug therapy of HCC.
Structural damage detection using deep learning and FE model updating techniques
Authors: Lee Yunwoo , Kim Heesoo , Min Seongi , Yoon Hyungchul
Published: October 2023

The structural condition can be estimated by various methods. Damage detection, as one of those methods, deals with identifying changes in specific features within structural behavior based on numerical models. Since the method is based on simulation for various damage conditions, there are limitations in applicability due to inevitable discrepancies between the analytical model and the actual structure. Finite element model updating is a technique for establishing a finite element model that can reflect the current state of a target structure based on the measured responses. It is performed based on optimization for various structural parameters, but the final output can converge differently depending on the initial model and the characteristics of the algorithm. Although the updated model may not faithfully replicate the target structure as it is, it can be considered equivalent in terms of the relationship between the structural properties and behavioral characteristics of the target. This allows for the analysis of changes in the mechanical relationships established for the target structure. The change can be related to structural damage, and artificial intelligence technology can provide an alternative solution in such complex problems where analytical approaches are challenging. Taking practical aspects from the aforementioned methods, a novel structural damage detection methodology is presented in this study for identifying the location and extent of the damage. Model updating is used to establish a reference model that reflects the structural characteristics of the target. Training data for various damage conditions based on the reference model allows the artificial intelligence networks to identify damage to the target structure.
Distortion correction using topup algorithm by single k-space (TASK) for echo planar imaging
Authors: Hwang Seon-Ha , Lee Hyun-Soo , Choi Seung Hong , Park Sung-Hong
Published: October 2023

Distortion of echo planar imaging (EPI) can be corrected using B0field maps, which can be estimated with the topup algorithm that requires two EPI images with opposite distortions. In this study, we propose a new algorithm, termed topup algorithm by single K-space (TASK), to generate two input images from a single k-space for the topup algorithm to correct EPI distortions. The centric EPI contains the opposite phase-encoding polarities in one k-space, which can be divided into two halves with opposite distortions. Therefore, two inputs could be extracted by dividing the k-space into halves and processing them using the proposed procedure including an iterative procedure of automatic brain masking and uniformity correction. The efficiency of TASK was evaluated using 3D EPI. Quantitative evaluations showed that TASK corrected EPI distortion at a similar level to the traditional methods. The estimated field maps from the conventional topup and TASK showed a high correlation ($$r=0.80\pm 0.05$$r=0.80±0.05). An ablation study showed the validity of every suggested step. Furthermore, it was confirmed that TASK was effective for distortion correction of two-shot centric EPI as well, demonstrating its wider applicability. In conclusion, TASK can correct EPI distortions by its own single k-space information with no additional scan.
Non-operative treatment for simple acute appendicitis (NOTA) in children during the COVID-19 era: new lessons from the pandemic
Authors: Alsaggaf Ameen , Owiwi Yazeed , Shalaby Mohamed , Ghallab Alaa , Zidan Mazen , Alawi Ahmed , Bustangi Nasir , Awad Mohammed , Bana Abdulelah , Al Zeair Saad , Afandi Ahmed , Basyouni Ahmed , Al Nasser Ibrahim , Raml Enas , Raboei Enaam
Published: October 2023

Coronavirus (COVID-19) was a pandemic disease that was affecting our medical and surgical daily practice badly. The surgical management of acute appendicitis was the gold standard, but new studies suggest the safety of antibiotic treatment alone. Non-operative treatment for simple acute appendicitis (NOTA) avoids surgery, the risks of general anesthesia, and long hospital stays. It also decreases the risk of exposure to coronavirus. We aimed to study the cost-effectiveness and outcome of NOTA during the COVID-19 pandemic and compared it to single-incision pediatric endo-surgery appendectomy (SIPESA). A prospective cohort study for NOTA of patients from 6 to 12 years old in the COVID-19 pandemic period from April 1st, 2020, to April 30th, 2021, patients were divided into two groups: Group S was managed by SIPESA, and Group N was managed by NOTA. Family education and assurance with detailed explanation were done for early detection of any complications, and we continue monitoring the patients until their complete recovery. Group S had 24 cases (40%), mean age 9.3 years. Group N had 36 cases (60%), mean age 9.1 years. Six cases (17%) in group N were converted to surgical management in the first 6 months of the study. The mean cost dropped from $2736/day to $400/day. The mean psychological stress for the children improved from 4.4 in April to 2 in September. The mean follow-up was 3.5 months. NOTA is a feasible, cost-effective approach, and we recommend it, as we have learned this lesson during the COVID-19 pandemic days.
A three-dimensional vision measurement method based on double-line combined structured light
Authors: Wang Mingze , Sun Qiucheng , Gao Changbo , Ren Zeming , Dai Weiyu
Published: October 2023

In this paper, a structured light vision measurement method using a scanning laser line and a positioning laser line is proposed. The novel method enables the scanning laser plane to slide along a slide rail while maintaining intersection with the positioning laser plane, eliminating the need to determine the scanning direction and moving step. During the measurement process, the laser plane equations need to be recalibrated for each new position, so a real-time calibration method is given. Initially, the geometric barycenter method is employed to detect the subpixel coordinates of the light stripe intersection point. Subsequently, these coordinates are projected into the camera coordinate system using the initial equations of the positioning laser plane. Finally, leveraging the normal information of the initial equation of the scanning laser plane and the three-dimensional coordinates of the light stripe intersection point, the real-time calibration of the scanning laser plane equations can be accomplished. The proposed method enables the three-dimensional reconstruction of objects, and its accuracy is verified through measurements on gauge blocks. Experimental results demonstrate that this method achieves precise and stable three-dimensional reconstruction of object surface shape.
Effects of slight shading in summer on the leaf senescence and endogenous hormone and polyamine contents in herbaceous peony
Authors: Xie Anqi , Lv Mengwen , Zhang Dongliang , Shi Yajie , Yang Lijin , Yang Xiao , Du Jie , Sun Limin , Sun Xia
Published: October 2023

Herbaceous peony is a perennial root plant that likes light and is cold-resistant. During summer, high temperature and strong light intensity advance its entry into the leaf wilting stage, which limits the accumulation of nutrients and formation of strong buds and severely affects its growth and development the following year. In this study, the wild herbaceous peony species and two main cultivars, ‘Zifengyu’ and ‘Hongfengyu’, were subjected to slight shading and strong light environments in summer, and their effects on leaf senescence and endogenous hormone and polyamine contents were explored. Slight shading treatment significantly delayed withering, increased the leaf net photosynthetic rate, and increased the chlorophyll, soluble sugar, indole-3-acetic acid, zeatin, gibberellin, spermine, spermidine, putrescine, and polyamine contents. Additionally, slight shading significantly reduced the proline and abscisic acid contents. Slight shading during summer prolonged the green period and delayed leaf senescence. The tolerance of tested materials to strong light intensity in summer was ranked as follows: ‘Zifengyu’ > ‘Hongfengyu’ > wild species. In conclusion, this study revealed that summer leaf senescence is delayed in herbaceous peony through shading and growth regulators. Additional varieties should be evaluated to provide reference for high-efficiency, high-quality, and high-yield cultivation of herbaceous peony.
Combination of genomic instability score and TP53 status for prognosis prediction in lung adenocarcinoma
Authors: Feng Juan , Lan Yang , Liu Feng , Yuan Ye , Ge Jia , Wei Sen , Luo Hu , Li Jianjun , Luo Tao , Bian Xiuwu
Published: October 2023

The genomic instability (GI) /homologous recombination deficiency (HRD) score, calculated as the sum of the events of loss of heterozygosity (LOH), large-scale state transition (LST) and telomere allele imbalance (TAI), is used to guide the choice of treatment in several cancers, but its relationship with genomic features, clinicopathological characteristics and prognosis in lung cancer is poorly understood, which could lead to population bias in prospective studies. We retrospectively analyzed 1011 lung cancer patients whose tumor samples were successfully profiled by high-throughput sequencing panel including GI/HRD score. Alterations of many cancer suppressor genes were associated with higher GI/HRD scores, biallelic inactivation of TP53 was correlated with a high GI/HRD score. A combination of two gene alterations exhibited a higher GI/HRD scores than single gene alterations. The GI/HRD score was associated with advanced stages in lung adenocarcinoma but not in lung squamous cell carcinoma. Furthermore, patients with higher GI/HRD scores had significantly shorter overall survival and progression-free survival than patients with lower GI/HRD scores. Finally, patients with a combination of a higher GI/HRD scores and TP53 alteration exhibited an extremely poor prognosis compared with patients with a lower GI/HRD scores and wild-type TP53 (overall survival, training cohort, hazard ratio (HR) = 8.56, P < 0.001; validation cohort, HR = 6.47, P < 0.001; progression-free survival, HR = 4.76, P < 0.001). Our study revealed the prognostic value of the GI/HRD score in lung adenocarcinoma, but not for all lung cancer. Moreover, the combination of the GI/HRD score and TP53 status could be a promising strategy to predict the prognosis of patients with lung adenocarcinoma.
A chemodosimetric approach for the visual detection of nerve agent simulant diethyl chlorophosphate (DCP) in liquid and vapour phase
Authors: Maji Atanu , Biswas Amitav , Bera Biswajit , Mondal Tapan Kumar
Published: October 2023

A new fluorescent ratiometric switch (BIPQ) is introduced for the solution and gas phase detection of the nerve-agent mimic DCP.
Aza-benzannulated-perylenebisimide-porphyrin dyad as an intensely absorbing donor in bulk-heterojunction organic solar cells
Authors: Kaushik Ayushi , Bhandary Subhrajyoti , Sharma Ganesh D. , Sankar Jeyaraman
Published: October 2023

An organic solar cell fabricated using a novel aza-benzannulated-perylenebisimide-porphyrin dyad as a donor in the active layer to get a maximum power conversion efficiency of 9.10% is presented.
The emergence of MnFe2O4 nanosphere-based humidity sensor: a methodical investigation by scanning Kelvin probe and its deployment in multitudinous applications
Authors: Ghuge Rahul S. , Shinde Manish D. , Hajeesh Kumar V. , Arbuj Sudhir S. , Surya Velappa Jayaraman , Rane Sunit B. , Di Natale Corrado , Sivalingam Yuvaraj
Published: October 2023

In this study, the ambient temperature humidity sensing properties of solvothermally synthesized MnFe2O4 (MFO) nanospheres on interconnected comb-like silver electrodes were studied systematically.
Printing conformal and flexible copper networks for multimodal pressure and flow sensing
Authors: Khuje Saurabh , Islam Abdullah , Yu Jian , Ren Shenqiang
Published: October 2023

A self-powered, flexible multimodal sensor, capable of monitoring temperature, pressure and flow in real time is presented via additive manufacturing of copper inks. The sensor offers superior performance, with applications in wearable electronics.
Dual-signalled magneto-optical barcodes with lanthanide-based molecular cluster-aggregates
Authors: Gálico Diogo Alves , Murugesu Muralee
Published: October 2023

A proof-of-concept for magneto-optical barcodes is demonstrated for the first time.
Electronic properties of single Prussian Blue Analog nanocrystals determined by conductive-AFM
Authors: Therssen Hugo , Catala Laure , Mazérat Sandra , Mallah Talal , Vuillaume Dominique , Mélin Thierry , Lenfant Stéphane
Published: October 2023

We report a study of the electron transport (ET) properties at the nanoscale (conductive-AFM denoted as C-AFM hereafter) of individual Prussian Blue Analog (PBA) cubic nanocrystals (NCs) of CsCoIIIFeII, with a size between 15 and 50 nm deposited on HOPG.
Near-infrared light responsive intensified multiphoton ultraviolet upconversion in nanostructures towards efficient reactive oxygen species generation
Authors: Yang Shan , Liu Songbin , Qiu Yuxuan , Liao Yu , Zhang Ze , Wu Di , Ye Xinyu
Published: October 2023

Intensifized multiphoton UV upconversion was realized by manipulating the injected excitation energy flux by combined with host-sensitized nanostructure and organic dye sensitization effect toward efficient ROS generation.
Direct access to carbamates via acylation of arylamines with dialkyl azodicarboxylates under metal-free conditions
Authors: Fan Liangxin , He Mengyang , Liu Xinyuan , He Fangyu , Wu Lulu , Yang Guoyu , Pan Zhenliang , Shi Lijun , Wang Caixia , Xu Cuilian
Published: October 2023

A novel C–N coupling of arylamines with dialkyl azodicarboxylates under metal-free conditions for the rapid assembly of carbamates has been achieved. The synthetic application of products was exemplified by several intriguing chemical operations.
Molecular-iodine catalyzed selective construction of cyclopenta[b]indoles from indoles and acetone: a green gateway to indole-fused cycles
Authors: Bhattacharjee Prantika , Sarma Bipul , Bora Utpal
Published: October 2023

A substrate-controlled synthesis of cyclopenta[b]indoles has been developed from readily available 2,3-unfunctionalized indoles and acetone, under the catalysis of molecular iodine.
Pyridine-N-oxide catalyzed acylative desymmetrization of bisphenols: access to P-stereogenic phosphinates with low catalyst loadings
Authors: Chen Yang-Guang , Hu Ying , Liu Jia-Yi , Xie Ming-Sheng , Guo Hai-Ming
Published: October 2023

A catalytic stereoselective strategy to access P-stereogenic phosphinates through chiral 4-arylpyridine-N-oxide-catalyzed acylative desymmetrization of bisphenols has been reported.
Modification of mixed-nitrogen anions configuration for accelerating lithium ions transport in the LiFePO4 electrode
Authors: Choi Jin-young , Kim Hye-min , Kim Yu-sung , Lee In-sik , Cha Byung-chul , Kim Dae-wook
Published: October 2023

The mixed anion effects through the introduction of N within the O sites in the (PO4)3− anions by ion implantation can be effective to improve the electrochemical performance of cathode materials.
Ligand effect of cyclometallated iridium(iii) complexes on N-alkylation of amines in hydrogen borrowing reactions
Authors: Chen Yi-Sheng , Chiu Siang-Yu , Li Chia-Ying , Chen Tsun-Ren , Chen Jhy-Der
Published: October 2023

Dinuclear iridium complexes with the general formula (C^N)2Ir(μ-Cl)2Ir(C^N)2 (C^N = bidentate ligand with carbon and nitrogen donor atoms) were prepared and used in catalytic systems for N-alkylation of amines through the hydrogen borrowing pathway.
Stepwise deprotonation of truxene: structures, metal complexation, and charge-dependent optical properties
Authors: Guo Yumeng , Torchon Herdya S. , Zhu Yikun , Wei Zheng , Zhang Zhenyi , Han Haixiang , Petrukhina Marina A. , Zhou Zheng
Published: October 2023

Stepwise deprotonation of truxene with alkali metals affords truxenyl anions with different charges, exhibiting core curvature dependence on charge and metal binding. UV-vis and PL studies reveal charge-dependent optical properties, which is further supported by DFT calculations.
Post-synthetic modification of zeolitic imidazolate framework-90 via Schiff base reaction for ultrahigh iodine capture
Authors: Zhang Zilong , Chen Yanchun , Sun Yiheng , Chen Zilu , Zhang Zhan-Yun , Liang Fupei , Liu Dongcheng , Hu Huan-Cheng
Published: October 2023

Three zeolitic imidazolate framework-90 derivatives were synthesized via post-synthetic modification method, which exhibited ultrahigh iodine capture capacities.
Flexible nanocellulose-based layered films by crosslinking phosphorus lignin nanoparticles and functionalized boron nitride nanosheets for flame-resistant and thermal conductivity applications
Authors: Liu Bingyang , Zeng Jinsong , Li Pengfei , Li Jinpeng , Wang Bin , Xu Jun , Gao Wenhua , Chen Kefu
Published: October 2023

This work reports the preparation of nanocellulose-based thermal conductivity and flame-retardant dual-function composites for use in thermal management applications for flexible electronic devices.
Spinel zinc manganate-based high-capacity and high-stability non-aqueous zinc-ion batteries
Authors: Pathak Prakash Kumar , Kumar Nitish , Ahn Heejoon , Salunkhe Rahul R.
Published: October 2023

We prepared spinel zinc manganate on free-standing carbon cloth using an electrodeposition method. It showed high capacity and stability in a non-aqueous electrolyte for zinc ion batteries.
Self-assembly promoted stratified multifunctional hybrid coating with self-healing ability for superior adhesion strength and hardness
Authors: Sharma Diksha , Mandal Debaprasad
Published: October 2023

Multifunctional self-stratified coatings provide outstanding performance by simultaneously improving surface and adhesion qualities, making them suitable for speciality coatings in a variety of industrial applications.
Near-infrared dye IRDye800CW-NHS coupled to Trastuzumab for near-infrared II fluorescence imaging in tumor xenograft models of HER-2-positive breast cancer
Authors: Xiao Junhui , Qiu Siqi , Ma Qiufeng , Bai Silan , Guo Xinrong , Wang Lishi
Published: October 2023

The NIR-II fluorescent probe Trastuzumab-800CW was used for NIR-II fluorescent targeting of HER-2-positive breast cancer tumors and was systematically compared with Trastuzumab-ICG.
Carbonyl-rich porous organic polymers for cobalt adsorption from water
Authors: Yang Min Chieh , Rollins Devin S. , Huber Dale L. , Ou Jou-Tsen , Baptiste Michael R. , Zeppuhar Andrea N. , Chen Fu , Taylor Mercedes K.
Published: October 2023

By controlling the ratio of end groups in a series of porous organic polymers, we maximized their cobalt adsorption capacity.
Physicochemical and microbiological effects of geological biomethane storage in deep aquifers: introduction of O2 as a cocontaminant
Authors: Haddad P. G. , Ranchou-Peyruse M. , Guignard M. , Mura J. , Castéran F. , Sénéchal P. , Larregieu M. , Isaure M.-P. , Moonen P. , Le Hécho I. , Hoareau G. , Chiquet P. , Caumette G. , Petit A. , Cezac P. , Ranchou-Peyruse A.
Published: October 2023

The massive arrival of biomethane in geological energy storage will lead to a co-injection of O2 used during the gas desulfurization process. O2 induces changes in the microbial community and interactions with the stored gas and formation water.
Ship detection based on YOLO algorithm for visible images
Authors: Huang Qian , Sun Huashan , Wang Yiming , Yuan Yang , Guo Xiaotong , Gao Qiang
Published: October 2023

Ship detection is a crucial task for waterway surveillance and channel optimization, especially in close proximity to the shore. However, detecting ship in visible image‐based detection remains a challenge due to the limited nature of visible image datasets. To address this issue, the Inland Ships Data Set (ISDS) is constructed to facilitate research on ship identification. On the other hand, most detection methods struggle to accurately identify ships that are small in size. Therefore, a visible image‐based ship detection model is proposed that employs a multi‐scale weighted feature fusion structure with the YOLOv4 detection model to improve the efficacy of small ship detection. Specifically, the YOLOv4 model is improved through fusing multi‐scale feature, redesigning priori frame, and enhancing loss function. The model, named YOLOv4‐MSW (i.e. YOLOv4 based on Multi‐Scale Weighted feature fusion), exhibits improved performance on ship detection in experiments conducted on the ISDS dataset, outperforming the original YOLOv4 model by improving the average precision (AP) by 4.87% and the recall rate by 10.03%. Meanwhile, the model achieve better detection accuracy and improve the average precision rate by at least 0.86% compared to existing learned object detection methods. The code related to this work are released at https://github.com/Sunhuashan/YOLOv4‐MSW. The whole dataset is available at https://drive.google.com/drive/folders/1fzJ2fcqiko6lFwqIEGghMceoQgv‐8jBy.
Optimal output‐constrained control of medium‐voltage DC shipboard power systems for pulsed power load accommodation
Authors: Tu Zhenghong , Peng Jiangkai , Fan Bo , Liu Liming , Liu Wenxin
Published: October 2023

For pulsed power load (PPL) accommodation in a medium‐voltage DC (MVDC) shipboard power system (SPS), the charging control of energy storage systems (ESSs) and the generation control of distributed generators (DGs) need to be properly coordinated. Targeting the important but not well‐studied problem, an optimal output‐constrained control algorithm for the offline PPL accommodation strategy is presented. Three control objectives including realising the generation and charging control references, maintaining the DC bus and supercapacitor voltages within the safe operating ranges, and minimising the total generation cost of DGs, are fulfilled concurrently. First, an SPS model with multiple DGs, a supercapacitor ESS, and regular loads is developed. By restricting the DC bus and supercapacitor voltages within pre‐defined constraints, both the transient‐ and steady‐state performances of the SPS are guaranteed. Furthermore, by incorporating the cost minimisation objective into designed virtual control signals, the third control objective on energy efficiency is realised. The stability of the presented algorithm is rigorously proven based on the Lyapunov method. Finally, detailed case studies are conducted to validate the performance of the designed algorithm.
The role of turbulence in high-mass star formation: Subsonic and transonic turbulence are ubiquitously found at early stages
Authors: Wang Chao , Wang Ke , Xu Feng-Wei , Sanhueza Patricio , Liu Hauyu Baobab , Zhang Qizhou , Lu Xing , Fontani F. , Caselli Paola , Busquet Gemma , Tan Jonathan C. , Li Di , Jackson J. M. , Pillai Thushara , Ho Paul T. P. , Guzmán Andrés E. , Yue Nannan
Published: October 2023

Context. Traditionally, supersonic turbulence is considered to be one of the most likely mechanisms slowing the gravitational collapse in dense clumps, thereby enabling the formation of massive stars. However, several recent studies have raised differing points of view based on observations carried out with sufficiently high spatial and spectral resolution. These studies call for a re-evaluation of the role turbulence plays in massive star-forming regions.

Aims. Our aim is to study the gas properties, especially the turbulence, in a sample of massive star-forming regions with sufficient spatial and spectral resolution, which can both resolve the core fragmentation and the thermal line width.

Methods. We observed NH3 metastable lines with the Very Large Array (VLA) to assess the intrinsic turbulence.

Results. Analysis of the turbulence distribution histogram for 32 identified NH3 cores reveals the presence of three distinct components. Furthermore, our results suggest that (1) sub- and transonic turbulence is a prevalent (21 of 32) feature of massive star-forming regions and those cold regions are at early evolutionary stage. This investigation indicates that turbulence alone is insufficient to provide the necessary internal pressure required for massive star formation, necessitating further exploration of alternative candidates; and (2) studies of seven multi-core systems indicate that the cores within each system mainly share similar gas properties and masses. However, two of the systems are characterized by the presence of exceptionally cold and dense cores that are situated at the spatial center of each system. Our findings support the hub-filament model as an explanation for this observed distribution.
Forming merging double compact objects with stable mass transfer
Authors: Picco A. , Marchant P. , Sana H. , Nelemans G.
Published: October 2023

Context. Merging double compact objects (COs) are one of the possible endpoints of the evolution of stellar binary systems. As they represent the inferred sources of every detected gravitational wave (GW) signal, modeling their progenitors is of paramount importance both to gain a better understanding of gravitational physics and to constrain stellar evolution theory.

Aims. Stable mass transfer (MT) between a donor star and a black hole (BH) is one of the proposed tightening mechanisms to form binary BHs that merge within the lifetime of the universe. We aim to assess the potential of stable non-conservative MT to produce different pairings of compact objects including BHs, neutron stars (NSs) and white dwarfs (WDs).

Methods. We investigated the conditions (orbital periods and mass ratios) required for MT between a star and a CO to be stable and to lead to binary COs that merge within a Hubble time. We use published results on the response of the stellar radii to rapid mass loss, covering different evolutionary stages and masses. Coupled with analytical models of orbital evolution, we determined the boundary for unstable MT as well as the post-interaction properties of binaries undergoing stable MT. In addition, we investigated the impact of the angular momentum loss prescription in the resulting hardening by accounting for both the isotropic re-emission from the accretor’s vicinity and mass outflow from the second Lagrangian point.

Results. Stable MT in systems with a CO + Roche lobe-filling star, in the completely non-conservative limit of isotropic re-emission from the vicinity of the accretor, is shown to be able to form any pair of merging double COs, with the exception of WD + BH and with a limited parameter space for NS + NS. Considering the possibility of mass outflow from the Lagrangian point L2, the resulting parameter space for GW progenitors is shifted toward smaller initial mass ratios (defined as the ratio of the donor mass over the CO mass), consequently ruling out the formation of NS + NS pairs while allowing the production of merging WD + BH binaries. We compare our results with observations of single-degenerate binaries and find that the conditions for the stable MT channel to operate are present in nature. We then show that stable MT in the isotropic re-emission channel can produce merging binary BHs with mass ratios > 0.1, consistent with the majority of inferred sources of the third gravitational wave transient catalogue. Enhanced angular momentum loss from L2 increases the minimum final mass ratio achievable by stable MT.
Assessing the Level of Evidence of Presented Studies at the Brazilian Congress of Coloproctology
Authors: Samartine Junior Hugo , Mazzini Lucas Rosasco , Paiva Daniel Ferreira , Levy Nicole Goldenberg , Silva Lauro Igor , de Aquino José Luís Braga , Mendes Elisa Donalisio Teixeira
Published: October 2023

Introduction Scientific studies in Brazil grew around 10.7% compared to previous years. However, the level of quality of evidence has been decreasing. The aim in our study is to examine the meeting abstracts of the Brazilian congress of coloproctology and analyze the level of evidence in trends and variables.

Methods A descriptive bibliometric study, working with secondary data to review scientific abstracts in the annals of the coloproctology congress from 2015 to 2019.

Results A total of 1756 abstracts of the Brazilian Congress of Coloproctology were analyzed for 5 years (2015-2019). There was a higher trend of abstracts presented with lower levels of evidence (level of evidence 5: 52.3% and 3: 30%), being the majority composed of case reports (49.4%) and retrospective studies (30.4%). The last two years analyzed (2018: 55.2% and 2019: 59.3%) had a predominance above average of case reports. From 2017 to 2019 there was a significant decrease in the number of level 2 evidence studies (18.10%,11.80% and 5.50%), while the number of studies with level 5 evidence showed an increase (45.60%, 56.60% and 61.40%). Statistical analysis occurred in only 17%, with an important decrease for the last two years (2018: 13.6%; 2019: 12.1%).

Conclusions Although the data of this study is from the Brazilian coloproctology point of view, they are important for the global scientific community, as they allow a quantitative evaluation of the relative contribution from the level of evidence of Brazilian coloproctology researchers to the scientific scenario.
Slovak MPs’ response to the 2022 Russian invasion of Ukraine in light of conspiracy theories and the polarization of political discourse
Authors: Lintner Tomáš , Diviák Tomáš , Nekardová Barbora , Lehotský Lukáš , Vašečka Michal
Published: October 2023

The 2022 Russian invasion of Ukraine received widespread international condemnation. In Slovakia, the invasion became a subject of much political discussion with large number of MPs openly advocating Russian interests. This study investigates Slovak political discourse on Facebook in the weeks before and after the invasion began. We examine the discourse through the lens of Discourse Network Analysis, combining qualitative content analysis of MPs’ Facebook posts with quantitative bipartite social network analysis. During the two weeks, we retrieved all (n = 1880) posts from all (n = 117) MPs who had an active public Facebook page. We manually coded all posts and created a bipartite discourse network consisting of MPs connected to each other via shared discourse codes in two timepoints. We performed a series of exploratory analyses that identified the content of the political discourse, the structure of the political discourse network, and the mechanisms driving the change of the political discourse network. Our results show that the invasion dramatically changed political discourse in Slovakia, with the domestic coalition-opposition struggles losing prominence among the invasion-related topics. The structure of the political discourse network showed a strong coalition-opposition split. While coalition MPs had largely pro-Ukrainian sentiments, opposition MPs largely communicated pro-Russian propaganda. A cluster of opposition MPs consistently spread conspiracy theories both before and after the invasion began, supporting a “conspiracy singularity” theory—the tendency of actors to spread multiple different conspiracy theories and interconnect various conspiracy theories into one overarching narrative. The change of the discourse network at the beginning of the invasion was largely driven by the agenda setting of several parties, agenda reinforcement, and increasing political polarization. We discuss our findings in relation to the previous research on the spread of conspiracy theories among politicians and the polarization of political discourse during the invasion, and we suggest implications for future research.
Charting the path towards a long-term knowledge brokerage function: an ecosystems view
Authors: Krystallis Ilias , Jasim Sarah
Published: October 2023

Hybrid networks of actors such as policymakers, funders, scholars, and business practitioners are simultaneous producers and consumers of evidence use. While this diversity of evidence use is a strength, it also necessitates greater collaboration among interested parties for knowledge exchange. To address this need, we investigate how ecotones, which are hybrid networks operating in the transitional area between two distinct ecosystems, such as academic research and policy ecosystems, must involve, disseminate, and integrate different types of knowledge. Specifically, our research aims to unpack how an ecotone’s knowledge brokerage function evolves over its lifecycle. This paper presents the findings of a phenomenological investigation involving experts from the policy and academic research ecosystems. The study introduces a three-stage maturity transitions framework that outlines the trajectory of the brokerage function throughout the ecotone’s lifecycle: i. as a service function, ii. a programme-partnership, and iii. a network of networks. The paper contributes to the theory of knowledge brokerage for policy-making. We reflect on our findings and discuss the theoretical contributions within an ecosystem approach and their associated research and policy implications.
Bats thrive in cluttered spaces
Authors: Allen Kate
Published: October 2023

The winged mammals produce high-frequency sounds and listen to their echoes from surrounding objects to track down insects to eat. Counterintuitively, the interference from the echoes of clutter nearby can help.
A leucistic platypus observed on the New England Tablelands of New South Wales
Authors: Streeting Louise M. , Daugherty Richard , Burrows Sarah , Bower Deborah S. , Watson Sandy , Daugherty Neve , Dillon Martin L.
Published: October 2023

Genetic mutations resulting in abnormal colouration occur across all vertebrate groups but are considered rare, especially in mammals. Hypo-pigmentary conditions can be separated into albinism, leucism and piebaldism. The impact of colour variation on an animal’s risk of predation and its ability to blend with its surroundings is widely recognised. We report our observations of a white platypus (Ornithorhynchus anatinus) in a tributary of the Gwydir River in the upper reaches of the Murray Darling Basin, New South Wales, Australia. We describe our observations in the context of historical platypus records since 1835.
A morphological and molecular study supports the recognition of Rhipilia psammophila sp. nov. and Rhipilia baculifera comb. nov. (Halimedaceae, Chlorophyta) from southern Australia
Authors: Huisman John M. , Verbruggen Heroen
Published: October 2023

Ongoing taxonomic studies of Australian marine algae have led to the recognition of a new species of the green algal genus Rhipilia, here named R. psammophila Huisman & Verbruggen. The new species is unusual for this typically tropical genus in growing in the colder temperate waters of southern Australia and can be distinguished from its congeners by the morphology of its laterally adhering siphons, in addition to unique molecular sequences (rbcL and tufA). In molecular analysis, the new species is sister to the southern Australian Chlorodesmis baculifera, which is here transferred to Rhipilia and represents the third species in the genus with laterally unattached, free siphons, a feature that previously would have excluded it from the genus. Lateral gametangia are described for R. psammophila and represent the first record of reproduction in Rhipilia.
The Clinician’s Role in Managing Safety during Animal-Assisted Psychotherapy
Authors: Chassman Craddock Linda
Published: October 2023

In this case study, I explore some of the challenges in determining which animal or animal species to choose for an animal-assisted psychotherapy (AAP) intervention. While dogs make excellent introductory animals, prey animals can offer a greater challenge and hence potential growth experience for clients. Animal choice depends on an array of factors including the client’s ability to engage safely with the animal, the treatment goal, and most importantly, the animal’s well-being and willingness to engage. To help ensure animal welfare, I detail how to mitigate the welfare challenges for humans and animals and provide examples of ways to interrupt potentially harmful behavior. A table is provided to assist with choosing an appropriate animal for different client populations.

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Co-Creation and Developing the Creative Economy: The ‘Galo da Madrugada’ Case
Authors: Almeida Larissa , Bakas Fiona Eva
Published: October 2023

This case study explores the potential of connecting the creative economy with tourism through the analysis of the collaborative creative process, to rethink a carnival icon called ‘Galo de Madrugada’ (Morning Rooster) in Recife, Brazil. The icon already existed but the process by which it used to be created was not collaborative and caused few and temporary impacts. Via the description of the new creative process of the ‘Galo de Madrugada’, which brings together people from various cities in Pernambuco state, the case study illustrates how awareness for sustainable consumption is increased, which simultaneously acts as a tool to build capacity in local communities, create meaningful connections and boost social cohesion via co-working opportunities.

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