bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measurements and predictions of phase equilibria in quinary system NaCl + KCl + MgCl2 + SrCl2 + H2O (saturated with NaCl) at 308.2 K
Authors: Sang Shi‐Hua , Yang Xiao‐Jun , Feng Zhen‐Hua , Tang Bin‐Bin , Cen Yu‐Qiu , Gao Yun‐Yun 
Published: August 2023

AbstractSichuan Basin of China is a typical underground brine enrichment area. In order to develop and utilize the brine resource, it is necessary to study the phase equilibria and phase diagram of brine systems. In this work, the phase equilibria of the quinary system NaCl + KCl + MgCl2 + SrCl2 + H2O (saturated with NaCl) at 308.2 K of the underground brines in Sichuan Basin are measured experimentally by isothermal dissolution equilibrium method. The phase diagram, water content diagram, and sodium chloride content change diagram of the quinary system with NaCl saturated are also drawn, respectively. The results show that the phase diagram of the quinary system contains three invariant points, seven isothermal solubility curves, and five solid crystal zones at 308.2 K. In the phase diagram, the KCl crystallization area is the largest, followed by SrCl2·6H2O, KCl·MgCl2·6H2O, and SrCl2·2H2O, while MgCl2·6H2O has the smallest crystallization area. Magnesium chloride in the quinary system has the largest solubility and has strong salting‐out effect on other salts. Furthermore, the unreported mixed ion interaction parameters θMg, Sr and ΨMg, Sr, Cl of Pitzer model are fitted, respectively. Consequently, the solubilities of the quinary system NaCl + KCl + MgCl2 + SrCl2 + H2O at 308.2 K are predicted using the Pitzer model, and the calculated phase diagram at 308.2 K is also plotted in detail. The predicted solubilities of the quinary system were in good agreement with the experimental solubilities. Finally, the study on the phase equilibrium of the quinary system can provide phase equilibrium data for the development and utilization of liquid mineral resources.
Improvement of the rupture strength of MF shell microcapsule by incorporating TiO2 nanoparticles with an optimal content
Authors: Dou Guijing , Lu Zhike , Hu Yahao , Sun Yiheng , Jiang Hanyang , Peng Guangjian 
Published: August 2023

AbstractMicroencapsulated phase change materials (MPCMs) are usually subjected to internal pressure caused by core volume changes or external mechanical stress during service. It is of great importance for individual microcapsule to achieve good mechanical performance to be effective in avoiding the leakage of core material and providing crucial protection to environment. Here, n‐octadecane was selected as core material and different amounts of titanium dioxide (TiO2) nanoparticles were added into the melamine formaldehyde (MF) shell, forming n‐octadecane@MF‐TiO2 hybrid shell MPCMs by in situ polymerization. It has been confirmed that TiO2 nanoparticles had been well embedded in the network structure of MF shell. The doping of TiO2 is beneficial to the inhibition of supercooling and the improvement of the thermal stability for hybrid shell microcapsules. Microcompression tests were conducted to determine the rupture loads of prepared microcapsules. TiO2 nanoreinforcements increase the rupture loads of MF‐TiO2 shell microcapsules and the improvement percentage in rupture load reaches a maximum of 138.14% at TiO2 content of 2 wt.% compared with pristine microcapsules. Crack deflection and pinning may account for the potential strengthening mechanism of the MF nanocomposites. The reinforced MPCMs will contribute to their more promising and widespread applications in thermal energy storage systems.
Genome‐Wide Association Study Identifies the First Germline Genetic Variant Associated With Erdheim‐Chester Disease
Authors: Martínez‐López Javier , Márquez Ana , Pegoraro Francesco , Ortiz‐Fernández Lourdes , Acosta‐Herrera Marialbert , Kerick Martin , Gelain Elena , Diamond Eli L. , Durham Benjamin H. , Abdel‐Wahab Omar , Go Ronald S. , Koster Matthew J. , Dagna Lorenzo , Campochiaro Corrado , Collin Matthew , Milne Paul , Estrada‐Veras Juvianee I. , O'Brien Kevin , Papo Matthias , Cohen‐Aubar Fleur , Amoura Zahir , Haroche Julien , Martín Javier , Vaglio Augusto 
Published: August 2023

ObjectiveErdheim‐Chester disease (ECD) is rare histiocytosis with a wide range of clinical manifestations. Somatic mutations are key to the pathogenesis of the disease; however, the relationship between germline genetic variants and ECD has not been examined so far. The present study aims to explore the inherited genetic component of ECD by performing the first genome‐wide association study.MethodsAfter quality controls, a cohort of 255 patients with ECD and 7,471 healthy donors was included in this study. Afterward, a logistic regression followed by in silico functional annotation was performed.ResultsA signal at the 18q12.3 genomic region was identified as a new susceptibility locus for ECD (P = 2.75 × 10−11; Odds Ratio = 2.09). This association was annotated to the SETBP1 gene, which is involved in clonal haematopoiesis. Functional annotation of this region and of the identified suggestive signals revealed additional genes that could be potentially involved in the pathogenesis of the disease.ConclusionOverall, this work demonstrates that germline genetic variants can impact on the development of ECD and suggests new pathways with a potential pathogenic role.image
Tools to assess employment readiness for colorectal cancer survivors: A scoping review
Authors: Ding Mingshuang , Gane Elise , Wiffen Harry , Johnston Venerina 
Published: August 2023

AbstractBackgroundThe ability to return to work and remain at work is an important recovery milestone after a cancer diagnosis. With the projected number of colorectal cancer patients of working age likely to increase, it is important to identify when a person is ready to resume work. There are many employment‐related tools available to help people return to work after injury or illness; however, it is unknown which may be suitable for a person with colorectal cancer.AimTo identify tools related to employment readiness in colorectal cancer survivors and to chart the relevant factors of employment assessed by these tools.MethodLiterature searches were performed in PubMed, CINAHL, Embase and Medline, the Cochrane library and PsycINFO using search terms around cancer, survivorship and employment to identify all peer‐reviewed articles published in English up to June 2022.ResultsThirty‐five studies used a total of 77 tools focused on assessing employment issues experienced by people with cancer in general. Four tools were used with colorectal cancer survivors. None considered all relevant employment‐related factors for colorectal cancer survivors.ConclusionTools used to identify return‐to‐work and remain‐at‐work were not specific to colorectal cancer. There are a range of existing tools that collate some, but not all, of the domains and outcome criteria required to meet the employment needs of colorectal cancer survivors. To optimize work outcomes for the working colorectal cancer population, a specified tool is warranted.
How health motivation moderates the effect of vividness on consumption expectations of indulgent food
Authors: Choi Jungsil , Ju Ilwoo 
Published: August 2023

AbstractThe current research examines how the vividness of food depictions affects consumers' consumption expectations of indulgent food items. Through three studies, we found that the level of motivation to be healthy plays a crucial role in determining how vividness impacts their consumption expectations of indulgent food items. Specifically, when consumers are less motivated to be healthy, vividness increases their consumption expectations due to increased attention‐driven involvement with the food information. On the other hand, when consumers are motivated to be healthy, vividness is assumed to increase goal conflict, leading to reduced consumption expectations. Importantly, our research also found that the joint effect of vividness and health motivations on consumption expectations is attenuated when the indulgent food items contain healthy ingredients.
Optimized drug‐coated balloon angioplasty of the superficial femoral and proximal popliteal arteries using the Tack Endovascular System: Tack Optimized Balloon Angioplasty (TOBA) III 24‐month results in standard and long lesions
Authors: Brodmann Marianne , Wissgott Christian , Brechtel Klaus , Lichtenberg Michael , Blessing Erwin , Tarra Trisha , Zeller Thomas 
Published: August 2023

AbstractObjectiveThe Tack Endovascular System is a minimal‐metal dissection repair device that is purpose‐built to treat post‐percutaneous angioplasty (PTA) arterial dissections in patients with peripheral arterial disease (PAD). The Tack Optimized Balloon Angioplasty (TOBA) III trial evaluated the safety and effectiveness of the Tack Endovascular System in patients with superficial femoral artery (SFA) and/or proximal popliteal artery (PPA) dissection after PTA with a drug‐coated balloon (DCB). The objective of this study is to report the results in the standard‐ (SL) and long‐lesion (LL) cohorts through 24 months.DesignThe TOBA III study was a prospective, multicenter, single‐arm study including patients suffering from Rutherford category 2–4 PAD. Outcomes were assessed according to pre‐specified lesion length in SL ( ≥ 20 mm and ≤150 mm) and LL ( > 150 mm and ≤250 mm) cohorts. Follow‐up was through 24 months.ResultsTOBA III enrolled 201 patients, 169 patients in the SL cohort and 32 in the LL cohort. At 24 months, the Kaplan–Meier estimates of freedom from major adverse events were 91.7% and 82.6% for the SL cohort and LL cohort, respectively. Kaplan–Meier estimates of freedom from clinically driven‐target lesion revascularization (CD‐TLR) were 92.3% in the SL cohort and 82.6% in the LL cohort. At 24 months, 78.8% of SL patients and 69.2% of LL patients experienced an improvement of >2 Rutherford categories (both cohorts p < 0.001). The baseline ankle‐brachial index improved from 0.68 ± 0.18 to 0.93 ± 0.16 in the SL (p < 0.001) and from 0.62 ± 0.23 to 0.87 ± 0.15 in the LL cohort (p < 0.001) at 24 months.ConclusionThe 24‐month results of the TOBA III trial support the safety and effectiveness of the Tack Endovascular System in patients who required post‐PTA dissection repair in the SFA and PPA following DCB angioplasty for claudication and rest pain. In both the SL and LL cohorts, Tack placement was associated with sustained freedom from CD‐TLR through 24 months as well as sustained improvements in Rutherford categories, ankle‐brachial index, and quality of life.
Synthesis, Structure, and Redox and Optical Properties of 5,10,15,20‐Tetraaryl‐5‐azaporphyrinium Salts
Authors: Kudoh Yuta , Suzuki Emi , Ochiai Hikari , Ise Kakeru , Kimura Yoshifumi , Minoura Mao , Nakano Haruyuki , Matano Yoshihiro 
Published: August 2023

AbstractThe fundamental properties of azaporphyrins can be modulated over a wide range by changing the number of meso‐nitrogen atoms. Reported herein are the first examples of 5,10,15,20‐tetraaryl‐5‐azaporphyrinium (MTAMAP) salts, which were prepared via metal‐templated cyclization of the corresponding zinc(II) and copper(II) complexes of 10‐aryl‐1‐chloro‐19‐benzoyl‐5,15‐dimesityl‐10‐azabiladiene‐ac. The inclusion of one meso‐nitrogen atom in the 5,10,15,20‐tetraarylporphyrin skeleton considerably changes the redox and optical properties as well as the degree of aromaticity of the porphyrin ring. The present findings suggest that MTAMAP salts would be promising scaffolds for the development of new azaporphyrin‐based ionic fluorophores and photosensitizers.
An enhanced DPCA fault diagnosis method based on hierarchical cluster analysis
Authors: Chen Youqiang , Bai Jianjun , Zou Hongbo 
Published: August 2023

AbstractA large amount of data generated in industrial processes exhibit multi‐modal, nonlinear, time‐domain correlation, and other characteristics. This poses great difficulty for the traditional principal component analysis (PCA) method since it requires that the input data need to conform to the Gaussian distribution. However, the data may have autocorrelation, that is, the data at the current moment will be affected by the past data. To this end, this paper proposes an enhanced dynamic principal component analysis (DPCA) method based on hierarchical clustering analysis. On the basis of the DPCA algorithm, the idea of data classification and enhanced training is used to strengthen the training of the dimensionality reduction matrix. Then, calibration, on‐line monitoring, and fault diagnosis of process data can be conducted. Finally, this paper demonstrates that the performance of the proposed method is greatly improved compared with PCA and DPCA through the Tennessee Eastman process system.
Recent histone deacetylase inhibitors in cancer therapy
Authors: Parveen Roza , Harihar Divya , Chatterji Biswa Prasun 
Published: August 2023

AbstractCancer metastasis increases the complexity of the disease and escalates patient mortality. Traditional chemotherapy has been associated with low efficacy and marked side effects. Studies pivot toward histone deacetylase (HDAC) enzymes and inhibitors because they are critical for chromatin structure, gene regulation, and cellular activities that are linked to metastasis and cancer progression. HDAC inhibitors (HDACi) can alter gene expression patterns and can lead to cell‐cycle arrest and apoptosis in neoplastic cells. Several HDACi drugs like vorinostat, romidepsin, panobinostat, and belinostat are approved by the Food and Drug Administration. China and Japan have approved the use of tucidinostat, a new subtype‐selective HDACi that inhibits class 1 HDAC1, HDAC2, HDAC3, as well as class 2b HDAC10. These drugs have shown promising results in the treatment of multiple carcinoma including cervical cancer, T‐cell lymphoma, brain cancer, and breast cancer. This review highlights the HDACi classes, the mechanism of action of these inhibitors, their preclinical and clinical efficacy, and the latest clinical trials and patents used in cancer therapeutics. Overall, this review focuses on patents and clinical trials data from 2019 onward to give a better viewpoint on current trends in HDACis as chemotherapy agents.
Accelerating communication with multi‐HCA aware collectives in MPI
Authors: Tran Tu , Ramesh Bharath , Michalowicz Benjamin , Abduljabbar Mustafa , Subramoni Hari , Shafi Aamir , Panda Dhabaleswar K. 
Published: August 2023

SummaryTo accelerate the communication between nodes, supercomputers are now equipped with multiple network adapters per node, also referred to as HCAs (Host Channel Adapters), resulting in a “multi‐rail”/“multi‐HCA” network. For example, the ThetaGPU system at Argonne National Laboratory (ANL) has eight adapters per node; with this many networking resources available, utilizing all of them becomes non‐trivial. The Message Passing Interface (MPI) is a dominant model for high‐performance computing clusters. Not all MPI collectives utilize all resources, and this becomes more apparent with advances in bandwidth and adapter count in a given cluster. In this work, we provide a thorough performance analysis of existing multirail solutions and their implications on collectives and present the necessity for further enhancement. Specifically, we propose novel designs for hierarchical, multi‐HCA‐aware Allgather. The proposed designs fully utilize all the available network adapters within a node and provide high overlap between inter‐node and intra‐node communication. At the micro‐benchmark level, we see large inter‐node improvements up to 62% and 61% better than HPC‐X and MVAPICH2‐X for 1024 processes. Because Allgather is used in Ring‐Allreduce, our designs also improve its performance by 56% and 44% compared to HPC‐X and MVAPICH2‐X, respectively. At the application level, our enhanced Allgather shows and improvement in a matrix‐vector multiplication kernel when compared to HPC‐X and MVAPICH2‐X, and Allreduce performs up to 7.83% better in deep learning training against MVAPICH2‐X.
Dimethyl itaconate selectively targets inflammatory and metabolic pathways in chronic lymphocytic leukemia
Authors: Sana Ilenia , Mantione Maria Elena , Meloni Miriam , Riba Michela , Ranghetti Pamela , Scarfò Lydia , Ghia Paolo , Muzio Marta 
Published: August 2023

AbstractChronic lymphocytic leukemia (CLL) co‐evolves with its own microenvironment where inflammatory stimuli including toll‐like receptors (TLR) signaling can protect CLL cells from spontaneous and drug‐induced apoptosis by upregulating IκBζ, an atypical co‐transcription factor. To dissect IκBζ‐centered signaling pathways, we performed a gene expression profile of primary leukemic cells expressing either high or low levels of IκBζ after stimulation, highlighting that IκBζ is not only an inflammatory gene but it may control metabolic rewiring of malignant cells thus pointing to a novel potential opportunity for therapy. We exploited the capacity of the dimethyl itaconate (DI), an anti‐inflammatory electrophilic synthetic derivative of the metabolite Itaconate, to target IκBζ. CLL cells, murine leukemic splenocytes, and leukocytes from healthy donors were treated in vitro with DI that abolished metabolic activation and reduced cell viability of leukemic cells only, even in the presence of robust TLR prestimulation. RNA sequencing highlighted that in addition to the expected electrophilic stress signature observed after DI treatment, novel pathways emerged including the downregulation of distinct MHC class II complex genes. In conclusion, DI not only abrogated the proinflammatory effects of TLR stimulation but also targeted a specific metabolic vulnerability in CLL cells.
Generating ground motions using the Fourier amplitude spectrum
Authors: Baglio Marco , Cardoni Alessandro , Cimellaro Gian Paolo , Abrahamson Norman 
Published: August 2023

AbstractIn this paper, a simplified method aimed at generating ground motions records using a Fourier amplitude spectrum model obtained by a response spectrum is presented. The use of white noise with specific conditions on the variance and inter‐frequency correlation allows to get a realistic variability of the Fourier amplitude spectrum. Moreover, a two‐corner frequency model is defined from empirical ground‐motion data and a filter is applied to capture the attenuation at high frequencies. The generated series of stochastic ground motions accurately match the mean value of the target response spectrum. The procedure was tested on an Italian site and results showed excellent matching in terms of mean and dispersion values with either the median obtained from ground motion prediction equations (GMPE) and conditional mean spectra (CMS). The advantage of the proposed methodology is that time‐histories can be generated with low computational effort, they do not need scaling or frequency content adjustments and are spectrum compatible with a given target spectrum.
Exploring the effects of service ecosystem on IT SMEs performance in emerging economies: A moderated mediation approach
Authors: Masroor Imtiaz , Nabi Md. Noor Un , Alam Md. Nur , Misbauddin S. M. , Ahamed Khan Anin 
Published: August 2023

AbstractService‐dominant logic viewpoints can be used to construct a model of value co‐creation in the service ecosystem by focusing on service provider‐beneficiary dyads and inter‐dyad interactions. However, the presence of institutional voids can hamper firm performance, even with an improved service ecosystem and value co‐creation. This study aimed to investigate the relationship between the service ecosystem of IT small and medium enterprises of Bangladesh and their firm performance through the mediation of value co‐creation and moderated mediation of institutional void. This study indicated that the service ecosystem positively impacts firm performance and value co‐creation. Additionally, the findings indicated that co‐creation within the service ecosystem leads to improved firm performance. However, the study also found that institutional void can have a significant moderating effect. This research makes a valuable contribution to the literature on service ecosystem and firm performance by examining the role of value co‐creation as a mediator.
Early induction of Hes1 by bone morphogenetic protein 9 plays a regulatory role in osteoblastic differentiation of a mesenchymal stem cell line
Authors: Seong Chang‐Hwan , Chiba Norika , Fredy Mardiyantoro , Kusuyama Joji , Ishihata Kiyohide , Kibe Toshiro , Amir Muhammad Subhan , Tada Ryohei , Ohnishi Tomokazu , Nakamura Norifumi , Matsuguchi Tetsuya 
Published: August 2023

AbstractBone morphogenic protein 9 (BMP9) is one of the most potent inducers of osteogenic differentiation among the 14 BMP members, but its mechanism of action has not been fully demonstrated. Hes1 is a transcriptional regulator with basic helix‐loop‐helix (bHLH) domain and is a well‐known Notch effector. In this study, we investigated the functional roles of early induction of Hes1 by BMP9 in a mouse mesenchymal stem cell line, ST2. Hes1 mRNA was transiently and periodically induced by BMP9 in ST2, which was inhibited by BMP signal inhibitors but not by Notch inhibitor. Interestingly, Hes1 knockdown in ST2 by siRNA increased the expression of osteogenic differentiation markers such as Sp7 and Ibsp and matrix mineralization in comparison with control siRNA transfected ST2. In contrast, forced expression of Hes1 by using the Tet‐On system suppressed the expression of osteogenic markers and matrix mineralization by BMP9. We also found that the early induction of Hes1 by BMP9 suppressed the expression of Alk1, an essential receptor for BMP9. In conclusion, BMP9 rapidly induces the expression of Hes1 via the SMAD pathway in ST2 cells, which plays a negative regulatory role in osteogenic differentiation of mesenchymal stem cells induced by BMP9.
PASSerRank: Prediction of allosteric sites with learning to rank
Authors: Tian Hao , Xiao Sian , Jiang Xi , Tao Peng 
Published: August 2023

AbstractAllostery plays a crucial role in regulating protein activity, making it a highly sought‐after target in drug development. One of the major challenges in allosteric drug research is the identification of allosteric sites. In recent years, many computational models have been developed for accurate allosteric site prediction. Most of these models focus on designing a general rule that can be applied to pockets of proteins from various families. In this study, we present a new approach using the concept of Learning to Rank (LTR). The LTR model ranks pockets based on their relevance to allosteric sites, that is, how well a pocket meets the characteristics of known allosteric sites. After the training and validation on two datasets, the Allosteric Database (ASD) and CASBench, the LTR model was able to rank an allosteric pocket in the top three positions for 83.6% and 80.5% of test proteins, respectively. The model outperforms other common machine learning models with higher F1 scores (0.662 in ASD and 0.608 in CASBench) and Matthews correlation coefficients (0.645 in ASD and 0.589 in CASBench). The trained model is available on the PASSer platform (https://passer.smu.edu) to aid in drug discovery research.
A generalization of group divisible t $t$‐designs
Authors: Liu Sijia , Han Yue , Ma Lijun , Wang Lidong , Tian Zihong 
Published: August 2023

AbstractCameron defined the concept of generalized ‐designs, which generalized ‐designs, resolvable designs and orthogonal arrays. This paper introduces a new class of combinatorial designs which simultaneously provide a generalization of both generalized ‐designs and group divisible ‐designs. In certain cases, we derive necessary conditions for the existence of generalized group divisible ‐designs, and then point out close connections with various well‐known classes of designs, including mixed orthogonal arrays, factorizations of the complete multipartite graphs, large sets of group divisible designs, and group divisible designs with (orthogonal) resolvability. Moreover, we investigate constructions for generalized group divisible ‐designs and almost completely determine their existence for and small block sizes.