bluuebunny/crossref_metadata_2025_split huggingface dataset:
Determining buffer conditions for downstream processing of VLP-based recombinant hepatitis B surface antigen using multimodal resins in bind-elute and flow-through purification modes
Authors: Goodarzi Maryam Moazami , Jalalirad Reza , Doroud Delaram , Hozouri Hamidreza , Aghasadeghi Mohammadreza , Paryan Mahdi 
Published: July 2023

AbstractThe difficulties in purification of VLP-based recombinant hepatitis B surface antigen (rHBsAg) are mainly emerged from inefficient semi-purification step plus proteins physicochemical properties and these issues make the downstream processing (DSP) very lengthy and expensive. In this study, optimization of rHBsAg (recombinantly-expressed in Pichia pastoris) DSP was performed using selection of buffering conditions in the semi-purification step. In the semi-purification optimization step, up to 73% of the protein impurities were eliminated and the utmost increase in rHBsAg purity (ca. 3.6-fold) was achieved using 20 mM sodium acetate, pH 4.5. By using rHBsAg binding and nonbinding situations obtained from the response surface plot in design of experiments (DOE), additional bind-elute and flow-through purification mode experiments were conducted and rHBsAg with high purity (near 100%) and recovery (> 83%) was achieved. Following assessment of critical quality attributes (i.e., purity, particle size distribution, host cell DNA, host cell protein, secondary structures, specific activity and relative potency), it was indicated that the characteristics of rHBsAg purified by the new DSP were similar or superior to the ones obtained from conventional DSP. The purification performance of the resin was constantly retained (97–100%) and no significant resin damage took place after 10 adsorption–elution–cleaning cycles. The new DSP developed for production of rHBsAg in this study can substitute the conventional one with granting satisfactory target protein quality, long-lasting resin efficacy, shorter and less expensive process. This process may be also employable for purification of both non-VLP- and VLP- based target proteins expressed in the yeast.
On the structure of mirrored operators obtained from optimal entanglement witnesses
Authors: Bera Anindita , Bae Joonwoo , Hiesmayr Beatrix C. , Chruściński Dariusz 
Published: July 2023

AbstractEntanglement witnesses (EWs) are a versatile tool in the verification of entangled states. The framework of mirrored EW doubles the power of a given EW by introducing its twin—a mirrored EW—whereby two EWs related by mirroring can bound the set of separable states more efficiently. In this work, we investigate the relation between the EWs and its mirrored ones, and present a conjecture which claims that the mirrored operator obtained from an optimal EW is either a positive operator or a decomposable EW, which implies that positive-partial-transpose entangled states, also known as the bound entangled states, cannot be detected. This conjecture is reached by studying numerous known examples of optimal EWs. However, the mirrored EWs obtained from the non-optimal ones can be non-decomposable as well. We also show that mirrored operators obtained from the extremal decomposable witnesses are positive semi-definite. Interestingly, the witnesses that violate the well known conjecture of Structural Physical Approximation, do satisfy our conjecture. The intricate relation between these two conjectures is discussed and it reveals a novel structure of the separability problem.
The role of TLR2 in exercise-induced immunomodulation in normal weight individuals
Authors: Bahman Fatemah , AlSaeed Halemah , Albeloushi Shaima , Al-Mulla Fahd , Ahmad Rasheed , Al-Rashed Fatema 
Published: July 2023

AbstractToll-like receptors (TLRs) have been targeted for therapeutic drug development for several disorders, including cardiovascular diseases (CVD), and diabetes mellitus. Daily levels physical activity (PA) has been purported to influence the systemic circulation of cytokines, affecting the overall activation of TLRs and influencing the inflammatory milieu. Objective and self-reported daily PA was tracked in 69 normal-weight adults. Freedson's cut-offs categorized daily PA intensity into the 25th lowest, medium, and top percentiles. Monocytic TLR2 expression was quantified by flow cytometry in fresh whole blood. Cross-sectional associations between flow cytometry measured TLR2+ subsets and clinical biomarkers were evaluated. PA increased circulation of TLR2+ monocytes. TLR2 expression was adversely corelated with reduced diastolic blood pressure (DBP), triglyceride (TG), and matrix metallopeptidase 9 (MMP9) levels. However, regression analysis indicated that only TG levels were independently linked with TLR2+ subsets in circulation in active participants. Higher daily levels of physical activity are associated with improved cardiovascular blood markers and elevated circulatory monocytic TLR2+ subsets. These findings suggest that TLR2 may play a role in modulating CVD risk factors in individuals leading physically active lifestyles.
Identification of cuproptosis-related lncRNA for predicting prognosis and immunotherapeutic response in cervical cancer
Authors: Kong Xiaoyu , Xiong Yuanpeng , Xue Mei , He Jie , Lu Qinsheng , Chen Miaojuan , Li Liping 
Published: July 2023

AbstractPatients diagnosed with advanced cervical cancer (CC) have poor prognosis after primary treatment, and there is a lack of biomarkers for predicting patients with an increased risk of recurrence of CC. Cuproptosis is reported to play a role in tumorigenesis and progression. However, the clinical impacts of cuproptosis-related lncRNAs (CRLs) in CC remain largely unclear. Our study attempted to identify new potential biomarkers to predict prognosis and response to immunotherapy with the aim of improving this situation. The transcriptome data, MAF files, and clinical information for CC cases were obtained from the cancer genome atlas, and Pearson correlation analysis was utilized to identify CRLs. In total, 304 eligible patients with CC were randomly assigned to training and test groups. LASSO regression and multivariate Cox regression were performed to construct a cervical cancer prognostic signature based on cuproptosis-related lncRNAs. Afterwards, we generated Kaplan–Meier curves, receiver operating characteristic curves and nomograms to verify the ability to predict prognosis of patients with CC. Genes for assessing differential expression among risk subgroups were also evaluated by functional enrichment analysis. Immune cell infiltration and the tumour mutation burden were analysed to explore the underlying mechanisms of the signature. Furthermore, the potential value of the prognostic signature to predict response to immunotherapy and sensitivity to chemotherapy drugs was examined. In our study, a risk signature containing eight cuproptosis-related lncRNAs (AL441992.1, SOX21-AS1, AC011468.3, AC012306.2, FZD4-DT, AP001922.5, RUSC1-AS1, AP001453.2) to predict the survival outcome of CC patients was developed, and the reliability of the risk signature was appraised. Cox regression analyses indicated that the comprehensive risk score is an independent prognostic factor. Moreover, significant differences were found in progression-free survival, immune cell infiltration, therapeutic response to immune checkpoint inhibitors, and IC50 for chemotherapeutic agents between risk subgroups, suggesting that our model can be well employed to assess the clinical efficacy of immunotherapy and chemotherapy. Based on our 8-CRLs risk signature, we were able to independently assess the outcome and response to immunotherapy of CC patients, and this signature might benefit clinical decision-making for individualized treatment.
Effects of strength training on functional ambulation following knee replacement: a systematic review, meta-analysis, and meta-regression
Authors: Wang Jinxiang , Zhu Ranran , Xu Xiao-ting , Liu Shuting , Li Zhenrui , Guo Chaoyang , Tao Xuchen , Qian Liang , Charles Ravon , Fang Lei 
Published: July 2023

AbstractStrength training is recommended by the American Physical Therapy Association to improve muscle strength, mobility, and balance following knee replacement. Few studies have focused on the direct effects of strength training on functional ambulation, and potential dose–response relationships between strength training parameters and the effect remain unclear. The aim of this systematic review, meta-analysis, and meta-regression was to evaluate the effects of strength training on functional ambulation following knee replacement (KR). We also aimed to explore potential dose–response relationships between strength training parameters and performance in functional ambulation. A systematic literature search of eight online databases was performed on March 12, 2023, for randomized controlled trials evaluating the effects of strength training on functional ambulation by six-minute walk test (6MWT) or timed-up and go test (TUG) after KR. Data were pooled by random-effect meta-analyses and presented as weighted mean difference (WMD). A random-effect meta-regression was performed for four predetermined training parameters, namely, duration (weeks), frequency (sessions per week), volume (time per session), and initial time (after surgery) separately to explore dose–response relationships with WMD. Fourteen trials encompassing 956 participants were included in our study. Meta-analyses showed an improvement in 6MWT performance after strength training (WMD: 32.15, 95% CI 19.44–44.85) and a decrease in time to complete TUG (WMD: − 1.92, 95% CI − 3.43 to − 0.41). Meta-regression revealed a dose–response relationship only between volume and 6MWT, with a decreasing trend (P = 0.019, 95% CI − 1.63 to − 0.20). Increasing trends of improvement in 6MWT and TUG were observed with increasing training duration and frequency. A slight decreasing trend of improvement was observed in 6MWT with postponed initial time, while an opposite trend was observed in TUG. Based on existing studies, moderate-certainty evidence suggests that strength training could increase 6MWT distance, and low-certainty evidence shows that strength training could decrease the time to complete TUG after KR. Meta-regression results only suggested a dose–response relationship between volume and 6MWT with a decreasing trend.Registration: PROSPERO: CRD42022329006.
HIV/AIDS stigma accumulation among people living with HIV: a role of general and relative minority status
Authors: Gruszczyńska Ewa , Rzeszutek Marcin 
Published: July 2023

AbstractThe main objective of the study was to investigate the relationship between selected sociodemographic factors (i.e. sexual orientation, gender and AIDS status), and the level of HIV/AIDS stigma among people living with HIV (PLWH). The participants were 663 adults with a medically confirmed diagnosis of HIV infection, undergoing antiretroviral treatment. Their level of HIV/AIDS stigma was assessed with the Berger HIV Stigma Scale, and relevant sociodemographic and clinical data were obtained using a self-report survey. The main effect was revealed only for sexual orientation and total stigma; those with heterosexual orientation declared higher levels of total stigma than those with other sexual orientations. For the subscales, significant results were obtained only for disclosure concerns. Namely, for the interaction of gender and sexual orientation, the highest level of disclosure stigma was declared by heterosexual women, while there was no such relationship for men. This result was further modified when AIDS diagnosis was added to the interaction. There is a cumulative effect of PLWH minority statuses, rather than main effects of each status individually. Thus, each minority status should be analysed from at least two perspectives, general (i.e., compared to the general population) and relative (i.e., compared to the population in question).
Scalable and highly selective graphene-based ion-exchange membranes with tunable permselectivity
Authors: Aixalà-Perelló Anna , Pedico Alessandro , Laurenti Marco , Fontananova Enrica , Bocchini Sergio , Ferrari Ivan Vito , Lamberti Andrea 
Published: July 2023

AbstractGraphene oxide (GO) membranes have been proved to be ion-selective thanks to their oxidized functional groups, which are naturally present on its surface. This ion selectivity, together with good mechanical strength, low cost, and simple synthesis, makes GO a great alternative material to conventional costly polymers for the production of ion-exchange membranes. This work focuses on how to produce GO membranes as ion-exchange membranes with a scalable approach and tunable permselectivity. Their physicochemical properties were subsequently investigated by means of selected characterization techniques. Results showed that GO membranes present good ion selectivity and size exclusion towards monovalent cations, reaching a permselectivity of up to 96%. Interestingly, UV-light irradiation of GO membranes can also be proposed as a green reduction method. GO reduction increases the permselectivity due to both a decrease in the dimension of the nanochannels and a reduction in the swelling degree of the membranes. The addition of binders was also investigated to improve the membranes’ mechanical properties. Finally, the ionic resistance of the membranes was measured by impedance spectroscopy, achieving 4.6 Ω cm2, orders of magnitude lower than the state-of-the-art graphene oxide-based membranes.
Tumor-mediated microbiota alteration impairs synaptic tagging/capture in the hippocampal CA1 area via IL-1β production
Authors: Zhu Ying , Mei Yu , Baby Nimmi , Teo Huey Yee , Binte Hanafi Zuhairah , Mohd Salleh Siti Nazihah , Sajikumar Sreedharan , Liu Haiyan 
Published: July 2023

AbstractCancer patients often experience impairments in cognitive function. However, the evidence for tumor-mediated neurological impairment and detailed mechanisms are still lacking. Gut microbiota has been demonstrated to be involved in the immune system homeostasis and brain functions. Here we find that hepatocellular carcinoma (HCC) growth alters the gut microbiota and impedes the cognitive functions. The synaptic tagging and capture (STC), an associative cellular mechanism for the formation of associative memory, is impaired in the tumor-bearing mice. STC expression is rescued after microbiota sterilization. Transplantation of microbiota from HCC tumor-bearing mice induces similar STC impairment in wide type mice. Mechanistic study reveals that HCC growth significantly elevates the serum and hippocampus IL-1β levels. IL-1β depletion in the HCC tumor-bearing mice restores the STC. Taken together, these results demonstrate that gut microbiota plays a crucial role in mediating the tumor-induced impairment of the cognitive function via upregulating IL-1β production.
Two-dimensional non-linear hydrodynamics and nanofluidics
Authors: Trushin Maxim , Carvalho Alexandra , Castro Neto A. H. 
Published: July 2023

AbstractA water monolayer squeezed between two solid planes experiences strong out-of-plane confinement effects while expanding freely within the plane. As a consequence, the transport of such two-dimensional water combines hydrodynamic and nanofluidic features, intimately linked with each other. In this paper, we propose and explicitly solve a non-linear hydrodynamic equation describing two-dimensional water flow with viscosity parameters deduced from molecular dynamic simulations. We demonstrate that the very ability of two-dimensional water to flow in short channels is governed by the second (dilatational) viscosity coefficient, leading to flow compression and velocity saturation in the high-pressure limit. The viscosity parameter values depend strongly on whether graphene or hexoganal boron nitride layers are used to confine 2D water that offers an interesting opportunity to obtain various nanofluids out of the same water molecules just by using alternate materials to fabricate the 2D channels.
Abrupt change in tropical Pacific climate mean state during the Little Ice Age
Authors: Prohaska Ana , Seddon Alistair W. R. , Meese Bernd , Willis Katherine J. , Chiang John C. H. , Sachse Dirk 
Published: July 2023

AbstractThe mean state of the tropical Pacific ocean-atmosphere climate, in particular its east-west asymmetry, has profound consequences for regional climates and for the El Niño/Southern Oscillation variability. Here we present a new high-resolution paleohydrological record using the stable-hydrogen-isotopic composition of terrestrial-lipid biomarkers (δDwax) from a 1,400-year-old lake sedimentary sequence from northern Philippines. Results show a dramatic and abrupt increase in δDwax values around 1630 AD with sustained high values until around 1900 AD. We interpret this change as a shift to significantly drier conditions in the western tropical Pacific during the second half of the Little Ice Age as a result of a change in tropical Pacific mean state tied to zonal sea surface temperature (SST) gradients. Our findings highlight the prominent role of abrupt shifts in zonal SST gradients on multidecadal to multicentennial timescales in shaping the tropical Pacific hydrology of the last millennium, and demonstrate that a marked transition in the tropical Pacific mean state can occur within a period of a few decades.
Large-scale omics dataset of polymer degradation provides robust interpretation for microbial niche and succession on different plastisphere
Authors: Yokoyama Daiki , Takamura Ayari , Tsuboi Yuuri , Kikuchi Jun 
Published: July 2023

Abstract
While biodegradable polymers have received increased attention due to the recent marine plastic problem, few studies have compared microbiomes and their degradation processes among biodegradable polymers. In this study, we set up prompt evaluation systems for polymer degradation, allowing us to collect 418 microbiome and 125 metabolome samples to clarify the microbiome and metabolome differences according to degradation progress and polymer material (polycaprolactone [PCL], polybutylene succinate-co-adipate [PBSA], polybutylene succinate [PBS], polybutylene adipate-co-terephthalate [PBAT], and poly(3-hydroxybutyrate-co-3-hydroxyhexanoate) [PHBH]). The microbial community compositions were converged to each polymer material, and the largest differences were observed between PHBH and other polymers. Such gaps were probably formed primarily by the presence of specific hydrolase genes (i.e., 3HB depolymerase, lipase, and cutinase) in the microorganisms. Time-series sampling suggested several steps for microbial succession: (1) initial microbes decrease abruptly after incubation starts; (2) microbes, including polymer degraders, increase soon after the start of incubation and show an intermediate peak; (3) microbes, including biofilm constructers, increase their abundance gradually. Metagenome prediction showed functional changes, where free-swimming microbes with flagella adhered stochastically onto the polymer, and certain microbes started to construct a biofilm. Our large-dataset-based results provide robust interpretations for biodegradable polymer degradation.
Multi objective task resource allocation method based on hierarchical Bayesian adaptive sparsity for edge computing in low voltage stations
Authors: Liu Yupeng , Yan Bofeng , Yu Jia 
Published: July 2023

AbstractIn order to achieve more efficient and optimised resource scheduling, this research carried out a multi‐objective task resource allocation method for low‐voltage station edge computing based on hierarchical Bayesian adaptive sparsity. Based on hierarchical Bayesian adaptive sparsity, the multi‐objective task resource allocation technical framework for edge computing in low‐voltage stations is established, which is composed of end pipe edge cloud; After collecting real‐time operation data of power distribution equipment, substation terminals, transmission terminals, etc. in the architecture end, it is transmitted to the data middle platform and service middle platform of the Internet of Things management platform in the cloud through the edge Internet of Things agent; Set and solve the constraint conditions, and build a multi type flexible load hierarchical optimal allocation model; The abnormal area topology identification sub module of multi‐objective task resource of low‐voltage station area edge computing is used to identify the abnormal area topology of the current low‐voltage station area; Taking it as input, the multi‐objective task resources of edge computing are allocated, and the multi‐objective task resources allocation method of edge computing in low pressure platform area is realized under the differential evolution algorithm. The experimental results show that the proposed method has good convergence effect, strong distribution ability, relatively gentle increase in energy consumption, and the calculated results are basically consistent with the actual values, with good effectiveness.
Material characterisation for optical wireless communication combining measurement and Monte Carlo simulations
Authors: Combeau Pierre , Aveneau Lilian , Le Gac Pierre Thuillier , Xiao Ruqin 
Published: July 2023

AbstractA method is proposed for optical characterisation of materials, which is a very important input for realistic channel simulation based on Monte‐Carlo Ray‐Tracing algorithms. This original approach consists first of all in carrying out some measurements of the optical power received after propagation in the environment containing the materials sought, using a simple and low‐cost experimental setup. In a second step, this approach is based on an optimization algorithm. It takes as input the optical power measurements made, associated with the parameters of the measurement environment, such as the positions or properties of the sensors. This algorithm searches for the parameters of the material reflection models, minimising the difference between the optical measurement and the simulation. Two cost functions are studied to perform this search and showed that the correlation measure is the more robust one. To avoid uncertainties in the real input data, this approach is discussed using only a virtual configuration with well‐controlled input data and thus a virtual measurement obtained by simulation. The results show that this method produces a correct estimate of the Bidirectional Reflectance Distribution Function (BRDF) albedos, provided that the chosen BRDF models correspond well to the reflection behaviour of the materials, and that the materials have a significant influence on the measured optical power.
Palliativmedizinische Aspekte in der klinischen Akut- und Notfallmedizin sowie Intensivmedizin: Konsensuspapier der DGIIN, DGK, DGP, DGHO, DGfN, DGNI, DGG, DGAI, DGINA und DGPalliativmedizin
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Authors: Michels Guido , John Stefan , Janssens Uwe , Raake Philip , Schütt Katharina Andrea , Bauersachs Johann , Barchfeld Thomas , Schucher Bernd , Delis Sandra , Karpf-Wissel Rüdiger , Kochanek Matthias , von Bonin Simone , Erley Christiane M. , Kuhlmann Susanne D. , Müllges Wolfgang , Gahn Georg , Heppner Hans Jürgen , Wiese Christoph H. R. , Kluge Stefan , Busch Hans-Jörg , Bausewein Claudia , Schallenburger Manuela , Pin Martin , Neukirchen Martin 
Published: July 2023

ZusammenfassungDie zeitgerechte Integration der Palliativmedizin ist ein wichtiger Bestandteil in der medizinischen Behandlung von verschiedenen Erkrankungen im fortgeschrittenen Stadium. Während eine erweiterte S3-Leitlinie zur Palliativmedizin für Patienten mit einer nicht heilbaren Krebserkrankung existiert, fehlt bis dato eine Leitlinie für nicht-onkologische Patienten bzw. eine konkrete Empfehlung für Patienten, die in der Notaufnahme oder auf Intensivstation behandelt werden. Basierend auf dem vorliegenden Konsensuspapier wird auf die palliativmedizinischen Aspekte der jeweiligen Fachdisziplinen eingegangen. Durch die zeitgerechte Integration der Palliativversorgung soll eine verbesserte Lebensqualität und Symptomlinderung in der klinischen Akut- und Notfallmedizin sowie Intensivmedizin erreicht werden.