bluuebunny/crossref_metadata_2025_split huggingface dataset:
ATG-101, a tetravalent PD-L1×4-1BB bispecific antibody, augments anti-tumor immunity through PD-L1 blockade and PD-L1-directed 4-1BB activation
Authors: Yuwen Hui , Wang Huajing , Li Tengteng , Ren Yijing , Chen Peng , Li Bohua , Flowers David , Presler Marc , Subramanian Kalyanasundaram , Lynch Kevin , Mei Jay , He Xiaowen , Shan Bo , Hou Bing 
Published: October 2022

Abstract
Immune checkpoint inhibitors (ICIs) have transformed the landscape of cancer treatment. However, only a minority of patients achieve a profound and long-lasting response, and many patients are innately resistant or acquire resistance to ICI therapy. In addition, hepatotoxicity and suboptimal efficacy have hampered the clinical development of agonistic antibodies targeting 4-1BB, a promising immune stimulating target. To effectively target 4-1BB and treat diseases resistant to ICIs, we engineered a tetravalent "2 + 2" PD-L1×4-1BB bispecific antibody (BsAb), ATG-101. ATG-101 binds to PD-L1 and 4-1BB concurrently, with a greater affinity for PD-L1, and potently activates 4-1BB positive T cells when crosslinked with PD-L1 positive cells. ATG-101 also activates exhausted T cells upon PD-L1 crosslinking, indicating a possible role in reversing T-cell dysfunction and exhaustion. ATG-101 revealed potent antitumor activity in numerous in vivo tumor models, including those resistant to ICIs or that have progressed following ICI treatment. ATG-101 greatly increased the proliferation of CD8+ T cells, the infiltration of effector memory T cells, and the ratio of CD8+ T/Treg cells in the tumor microenvironment (TME), rendering an immunologically "cold" tumor "hot". ATG-101 is well-tolerated and does not induce hepatotoxicity in non-human primates, even at high doses. According to a computational semi-mechanistic pharmacology model simulation, 4-1BB/ATG-101/PD-L1 trimer formation and PD-L1 receptor occupancy are both maximized at around 2 mg/kg of ATG-101, providing guidance regarding a clinically optimal biological dose. In summary, by localizing to PD-L1-rich TME and activating 4-1BB-positive immune cells in a PD-L1 crosslinking-dependent manner, ATG-101 safely inhibits tumor growth in ICI resistant or refractory animal models.
Mediterranean diet and hypertension: Relationship between adherence to a Mediterranean diet and hypertension frequency
Authors: Cuore Alessandro Del , Daidone Mario , Casuccio Alessandra , Salamone Giovanni , Chiara Tiziana , Raimondo Domenico , Pinto Antonio , Tuttolomondo Antonino 
Published: October 2022

Abstract
Background and Aims: No study has examined the relationship between the presence of hypertension and the Mediterranean diet ( MeDi) with regard to other cardiometabolic risk factors
A retropective study to evaluate the presence of a lower adherence to the Mediterranean diet in hypertensive subjects, to analyze the correlation between the adherence to Mediterranean Diet and other cardiovascular risk factors .
Materials and Methods: We analyzed the records and collected the data of the patients admitted to our Internal Medicine ward from 2010 to 2020 with a discharge diagnosis of metabolic syndrome according to the NCEP ATP-III criteria . The Mediterranean Diet Score was used to evaluate the consumption and frequency of the elements characterizing a Mediterranean-type diet.
Results : Hypertensive patients were older and had a higher mean BMI . The degree of adherence to the Mediterranean diet, evaluated by the Mediterranean diet score, was significantly higher in the control group than the hypertensive group. Various comorbidities were more prevalent in hypertensives such as type 2 diabetes mellitus, heart failure, ischemic heart disease, and chronic renal failure .A lower adherence to the Mediterranean diet was significantly associated with an increased prevalence of dyslipidemia, cardiovascular diseases, chronic renal insufficiency and PAD/carotid atherosclerosis and a significantly worse lipid profiles.
Conclusion: Our findings show that the in hypertensive patients a lower adherence to a Mediterranean Diet Style is associated with a worse cardiovascular risk factor profile. Thus Mediterrean Diet adherence in hypertensive subjects is associated with a wider cardiometabolic scenario .
Cu0-Cu+ synergistic catalysis towards C-H bond fracture in methanol reforming with extremely-high hydrogen production
Authors: Meng Hao , Yang Yusen , Shen Tianyao , Yin Zhiming , Wang Lei , Liu Wei , Yin Pan , Ren Zhen , Zheng Lirong , Zhang Jian , Xiao Feng-Shou , Wei Min 
Published: October 2022

Abstract
The H2 production from methanol steam reforming (MSR) reaction is regarded as one promising way to achieve the coupling between hydrogen production and fuel cells. Hitherto, Cu-based catalysts serve as the predominant MSR catalyst, but several fundamental issues still remain ambiguous (e.g., intrinsic active center, catalytic reaction network). Herein, we prepared Cu/Cu(Al)Ox catalysts featured by amorphous alumina-stabilized Cu2O adjoining Cu nanoparticle to provide Cu0-Cu+ sites. The optimized catalyst 4.25Cu/Cu(Al)Ox (Cu/Al molar ratio of 4.25) exhibits extraordinary catalytic performance towards hydrogen generation from MSR reaction, with a CH3OH conversion of 99.5%, a H2 production rate of 110.8 μmol s-1 gcat-1 and prominent durability at 240 ℃(300 h). A combination investigation including in situ FT-IR spectroscopy and mass spectrometry analysis confirms a three-step catalytic reaction pathway: dehydrogenation of methanol to methyl formate (HCOOCH3), hydrolyzation of HCOOCH3 to produce formate (HCOO*), followed by HCOO* decomposition to CO2 and H2. A binary function correlation between CH3OH reaction rate and the surface concentrations of Cu0 and Cu+ is established based on kinetic studies. In addition, in situ XAFS spectroscopy and theoretical calculations reveal the intrinsic active centers: the oxygen-containing intermediates (CH3O* and HCOO*) adsorbed at Cu0-Cu+ sites with a moderate adsorption strength promote electron transfer from catalyst to surface species, which significantly reduces the reaction barrier of rate-determining step (C-H bond cleavage) in CH3O* and HCOO* intermediates. The in-depth understanding of Cu0-Cu+ synergistic catalysis demonstrated in this work is constructive for the development of high-performance heterogeneous catalysts towards hydrogen production.
Cooperation in Reserve of Protective Textiles in Emergency Conditions between China and African Countries
Authors: Wen Yipeng , Song Kun , Ding Xuemei , Mwasiagi Josphat Igadwa , Elarabi Salah Eldin M. , Dessie Esubalew 
Published: October 2022

Abstract

Background
The reserve of protective textiles for emergency usage is an important measure in ensuring public health security and enhancing the ability to respond to emergencies. There was a global shortage of protective textiles at the beginning of the COVID-19 pandemic. Due to the relatively low level of medical development and the underdeveloped domestic textile industry in many African nations, the lack of emergency protective textiles was particularly severe in those nations, which has had some negative effects on African and global public health security. The study explored possible approaches of cooperation between Africa and China to achieve both security and financial efficiency.
Methods
With the support of the China Association for Science and Technology's "Belt and Road" International Science and Technology Organization Cooperation Platform Construction Project, a team of scholars from Donghua University of China, Gezira University of Sudan, Moi University of Kenya, and Bahir Dar University of Ethiopia has carried out cooperative research on emergency protective textile reserve system using various methods such as literature review, field research, interviews, and seminars.
Conclusions
This study analyzed the status of the reserve and supply of protective textile in China and African countries under the emergency conditions during the Covid-19 pandemic. The study proposed a few approaches of collaboration between China and African countries for the reserves of emergency protective textiles, from the perspective of three types of reserve including physical, contractual, and production capacity reserves. Such cooperation based on conditions in China and African is mutually beneficial to China and Africa and is highly valuable to the improvement of global public health security.
Evaluation of the Possibility to Find Voids inside the Great Pyramid by Microgravimeters
Authors: Ivashov Sergey I. , Bugaev Alexander S. , Razevig Vladimir V. , Anfimov Dmitry R. 
Published: October 2022

Abstract
The ancient pyramids keep a lot of mysteries and attract the attention of historians, archaeologists and just tourists from all over the world. Their assignment, construction methods and especially the discovery of previously unknown voids and structures inside them require further study using new technical solutions. The most famous of these structures is the Great (Khufu’s) Pyramid on the Giza plateau in Egypt. Since the middle of the last century, several non-destructive technical methods have been proposed for examining the internal structure of the pyramid. Electromagnetic translucence in the radio frequency range and the use of muon sensors are among them. Although the use of muon sensors has supposedly revealed two previously unknown voids within the Pyramid, independent confirmation of their presence is required. The article discusses the fundamental possibility of using gravimetry to examine the internal structure of the Great Pyramid, and analyzes combining it with other modern technical means including unmanned aerial vehicle (UAV) for the implementation of this project. The paper proposes the simplest model that allows evaluating the required accuracy of a microgravimeter capable detecting the supposed voids in the Pyramid. The advantage of this approach, in addition to its simplicity, is the ability easily checking the presented in paper results. The main purpose of writing the article is to draw the attention of the scientific community to another method of non-destructive testing for the study of the internal structure of the Great Pyramid and discussion further needed steps in this direction.
Peripapillary Microvasculature Changes After Vitrectomy in Epiretinal Membrane via Swept-Source OCT Angiography
Authors: Yoon Kyungwoo , Park Jong Beom , Kang Min Seok , Kim Eung Suk , Yu Seung-Young , Kim Kiyoung 
Published: October 2022

Abstract
Purpose: To evaluate the peripapillary microvasculature changes in patients with epiretinal membrane (ERM) following pars plana vitrectomy (PPV) with internal limiting membrane (ILM) peeling using swept-source optical coherence tomography angiography (SS-OCTA).
Method: Medical records and multimodal imaging data of 33 eyes after PPV for ERM were retrospectively reviewed. Peripapillary SS-OCTA images of 6×6 mm2 were recorded at baseline, 6 months and 1 year after PPV. A semi-automated method was used to analyzed SS-OCTA images, excluding the optic disc area, using the MATLAB software. The peripapillary vessel density (pVD) of superficial capillary plexus (SCP) and deep capillary plexus (DCP) was quantified in four quadrants (superior, inferior, nasal and temporal).
Result: The mean pVD in SCP and DCP decreased at 6- and 12-months follow-up. In sectoral analysis, superior, inferior, and temporal quadrants pVD in SCP and DCP were significantly reduced at 1 year after vitrectomy (all p < 0.05). Meanwhile, inferior quadrants pVD in SCP and DCP showed the earliest significant reduction at 6-months (p = 0.022 and 0.048, respectively). A reduction of post-operative mean pVD in DCP was significantly greater in patients with diabetic retinopathy (p = 0.043).
Conclusion: Postoperative pVD significantly decreased in ERM patients. The changes of pVD, especially in inferior sector, could be helpful to predict progression of retinal nerve fiber layer thinning followed by peripapillary microvascular alterations.
A method for calibrating measurement data of micro air quality monitor based on MLR-BRT-ARIMA combined model
Authors: Liu Bing , Jiang Peijun 
Published: October 2022

Abstract
In recent years, air pollution has become an increasingly important issue in the sustainable development of cities. Monitoring air pollutants is of great significance for government departments to effectively control air pollution. The development of micro air quality monitors provides the possibility for grid monitoring and real-time monitoring of air pollutants. However, affected by many factors, the measurement accuracy of the micro air quality monitors need to be improved. In this paper, a combined prediction model of Multiple Linear Regression, Boosted Regression Tree and AutoRegressive Integrated Moving Average model (MLR-BRT-ARIMA) is proposed to calibrate the measurement data of the micro air quality monitor. First, the multiple linear regression model is used to find the linear relationship between the concentration of various pollutants and the measurement data of the micro air quality monitor and obtain the predicted value of the concentration of various pollutants. Second, take the measurement data of the micro air quality monitor and the prediction value of the multiple regression model as the input, and use the boosted regression tree to find the nonlinear relationship between the concentrations of various pollutants and the input variables. Finally, the autoregressive integrated moving average model is used to extract the information hidden in the residual sequence, and finally the establishment of the MLR-BRT-ARIMA model is completed. This combined model combines the advantages of multiple linear regression and boosted regression trees. It can not only give the quantitative relationship between the explained variables and their influencing factors, but also the prediction accuracy is higher than the multiple linear regression and boosted regression tree models alone. Using the ARIMA model to correct the residuals can further improve the prediction accuracy of the model. Root mean square error, mean absolute error and relative mean absolute percent error are used to compare the calibration effect of MLR-BRT-ARIMA model and other commonly used models such as multilayer perceptron neural network, support vector regression machine and nonlinear autoregressive models with exogenous input. The results show that no matter what kind of pollutant, the MLR-BRT-ARIMA combined model proposed in this paper has the best performance in the three indicators. Using this model to calibrate the measurement value of the micro air quality monitor can improve the accuracy by 82.4%~95.4%.
Effects of Soybean Meal Fermented by Enterococcus Faecium as a Replacement for Soybean Meal Could Improve the Growth Performance and Nutrient Digestibility by Modulating the Gut Microbiome of Weaning piglets
Authors: Muniyappan Madesh , Park Jae Hong , Han Kyudong , Kim In Ho 
Published: October 2022

Abstract

Background: This study investigates the effects of soybean meal fermented by Enterococcus faecium as a replacement for soybean meal on growth performance, apparent total tract digestibility, blood profile and gut microbiota of weaned pigs.
Methods: Eighty piglets (weaned at 21 days) [(Landrace x Yorkshire) x Duroc] with average body weight of 6.52 ± 0.59 kg) were selected and assigned to 4 treatments / 4 replicate pens (3 barrows and 2 gilts). The four diets (SBM, 3%, 6% and 9% FSBM) were formulated using FSBM to replace 0%, 3%, 6% and 9% of SBM, respectively. The trial lasted for 42 days (phase 1 (days 0-7), phase 2 (8-21), and phase 3 (days 22-42).
Results: Result showed that supplemental FSBM increased (P < 0.05) the body weight gain (BWG) for piglets at day 7, 21 and 42 and ADG at days 1-7, 8-21, 22- 42 and 1-42, and ADFI at days 8-21,22-42 and 1-42 and G: F at days 1-7, 8-21 and 1-42, and crude protein, dry matter, and energy digestibility at day 42, and the lowered (P< 0.05) diarrhea at days 1-21 and 22-42. The concentration of glucose levels, WBC, RBC and lymphocytes were increased while, concentration of BUN level in the serum was lowered in the FSBM treatment compared to the SBM group (P <0.05). Microbiota sequencing found that FSBM supplementation increased the microbial Shannon, Simpsons and Chao indexs, (P< 0.05) and the abundances of the phylam Firmicutes, and genera prevotella, Lactobacillus, Lachnospiraceae and Lachnoclostridium(P< 0.05), lower in the abundances of the phylam bacteroidetes, Proteobacteria, genera Escherichia-Shigella, Clostridium sensu stricto1, Bacteroides and Parabacteroides (P <0.05).
Conclusions: Overall, FSBM replacing SBM improved the growth performance, nutrient digestibility, and blood profiles; perhaps via altering the faecal microbiota and its metabolites in weaned pigs. The present study provides theoretical support for applying FSBM at 6 to 9% promote immune characteristics and regulate intestinal health in weaning piglets.
Spatial patterns of bamboo’s invasion across scales: how does bamboo interact with competing trees?
Authors: Zheng Aiyu , Lv Jianhua 
Published: October 2022

Abstract
Contexts
The invasion of fast growing Phyllostachys edulis (Moso bamboo) into forest is likely further favored by climate change, creating more transitional regions within forests. Such forest-bamboo transitional zones provide windows to look at ecological processes driving bamboo’s interaction with competing species across space.
Objectives
We tested the hypothesis that spatial patterns at scales of ecotone and individual stems can inform bamboo’s invasive spread and its competitive engulfing strategy, with the allocation of biomass and resources within a bamboo colony being a key life-history strategy to facilitate its spatial spread.
Methods
We used remote sensing imagery and field survey data to analyze the dynamics of bamboo-tree transitional boundaries in Tianmu Mountain Nature Reserve (TMNR) of southeastern China. We evaluated bamboo’s invasive spread and its allocation of resources along the transitional gradient.
Results
Both remote sensing and field data showed bamboo recovery and advancement into tree territories after the extensive logging of bamboo but with a slower spread compared to historical records. The spatial distributions of bamboo and tree stems were not random at their transitional interfaces and were affected by competition. Successful invasion of bamboo required close coordination between stems and rhizomes within a colony, as they served different functions in clonal integration.
Conclusions
Our study initiates a mechanistic, scale-dependent analysis of bamboo invasion strategies, which provides insights on how to accurately predict future bamboo distributions under climate change accounting for interspecific competition and bamboo’s clonal integration of resources.
Exploring instream large wood accumulation at bridges: insights from bridges across the UK
Authors: Bangnira Francis , Marti-Cardona Belen , Imam Boulent , Ruiz-Villanueva Virginia 
Published: October 2022

Abstract
Accumulation of instream large wood (i.e., fallen trees, trunks, branches, and roots) at bridges during floods may exacerbate scour and cause structural failure. Yet, explaining and predicting the likelihood of a bridge trapping wood remains challenging. Quantitative data regarding wood accumulation at bridges are scarce, and most studies have been based on flume experiments. Equations proposed to estimate the accumulation probability use variables such as flow velocity, Froude number, and approaching wood volume or size which are difficult to obtain. Other evaluations based on technical reports and information regarding wood removal prevail qualitative. But a data-driven approach combining multiple quantitative accessible variables at the local and catchment scales remains lacking. As a result, the controlling parameters explaining whether a bridge is prone to trap wood are still unclear. This work aims to fill this gap by analysing a database of 49 bridges across the United Kingdom (UK) classified as prone and not prone to wood accumulation. The database contained information regarding the geometry of the bridge (i.e., number of piers and pier shape) and we added parameters describing the upstream river channel morphology, the riparian landcover, and high-flow characteristics. We applied multivariate statistics and a machine learning approach to identify the variables that explained the predisposition of bridges to wood accumulation. Results showed that the number of bridge piers, the unit stream power, the pier shape, and the riparian forested area explained 87% of the total variability for the training dataset (0.87 training accuracy), and the selected model had a testing accuracy of 0.60 (60%). Although limited by the sample size, this study shed light on the understanding of instream large wood-bridges interactions and can inform bridge design and management to mitigate wood-related hazards.
An efficient parallel kernel based on Cholesky decomposition to accelerate Multichannel Non-Negative Matrix Factorization
Authors: Muñoz-Montoro Antonio J. , Carabias-Orti Julio J. , Salvati Daniele , Cortina Raquel 
Published: October 2022

Abstract

Multichannel Source Separation has been a popular topic, and recently proposed methods based on the local Gaussian model (LGM) have provided promising result despite its high computational cost when several sensors are used. The main reason being due to inversion of a spatial covariance matrix, with a complexity of \(O(I^3)\), being \(I\) the number of sensors. This drawback limits the practical application of this approach for tasks such as sound field reconstruction or virtual reality, among others. In this paper, we present a numerical approach to reduce the complexity of the Multichannel NMF to address the task of audio source separation for scenarios with a high number of sensors such as High Order Ambisonics (HOA) encoding. In particular, we propose a parallel multi-architecture driver to compute the multiplicative update rules in MNMF approaches. The proposed driver has been designed to work on both sequential and multi-core computers, as well as Graphics Processing Units (GPUs) and Intel Xeon coprocessors. The proposed software was written in C language and can be called from numerical computing environments. The proposed solution tries to reduce the computational cost of the multiplicative update rules by using the Cholesky decomposition and by solving several triangular equation systems.The proposal has been evaluated for different scenarios with promising results in terms of execution times for both CPU and GPU. To the best of our knowledge, our proposal is the first system that addresses the problem of reducing the computational cost of full-rank MNMF-based systems using parallel and high performance techniques.