bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microblog topic detection using evolutionary clustering and social network information
Authors: Mashayekhi Hoda , Alavi Elham Sadat , Rezaie Behzad 
Published: June 2023

SummaryThe messages in microblogs, like Twitter, present a wealth of information around the hot topics and public opinions. Topic detection and tracking enables a better understanding of the incoming information from social networks. Many of the studies performed in this field consider a set of predefined number of topics (clusters) which remain constant during the detection process. Such approaches are not efficient when data is dynamic and cumulative. In addition, nonparametric evolutionary topic models do not have an accurate performance on short texts due to the data deficiency. In this article, we propose an evolutionary clustering model based on the Bayesian nonparametric Dirichlet process mixture model, which automatically determines the number of clusters. To improve the algorithm performance when dealing with short social media texts, temporal information of tweets and other social network parameters are used in a weighted combination to augment the text similarity in detecting topics. Model evaluation is performed on the data gathered from the Twitter during a 2.5‐month period. Results reveal that the social network information can promote the topic detection performance. The proposed model outperforms previous study in terms of topic coherence and clustering performance, leading to a better clustering on short texts.
Efficient Semi‐Artificial Photosynthesis of Ethylene by a Self‐Assembled InP‐Cyanobacterial Biohybrid System
Authors: Liang Jun , Chen Zhen , Yin Panqing , Hu Haitao , Cheng Wenbo , Shang Jinlong , Yang Yiwen , Yuan Zuwen , Pan Jinlong , Yin Yongqi , Li Weizhi , Chen Xiongwen , Gao Xiang , Qiu Baosheng , Wang Bo 
Published: June 2023

AbstractBiomanufacturing of ethylene is particularly important for modern society. Cyanobacterial cells are able to photosynthesize various valuable chemicals. A promising platform for next‐generation biomanufacturing, the semiconductor‐cyanobacterial hybrid systems are capable of enhancing the solar‐to‐chemical conversion efficiency. Herein, the native ethylene‐producing capability of a filamentous cyanobacterium Nostoc sphaeroides is confirmed experimentally. The self‐assembly characteristic of N. sphaeroides is exploited to facilitate its interaction with InP nanomaterial, and the resulting biohybrid system gave rise to further elevated photosynthetic ethylene production. Based on chlorophyll fluorescence measurement and metabolic analysis, the InP nanomaterial‐augmented photosystem I activity and enhanced ethylene production metabolism of biohybrid cells are confirmed, the mechanism underlying the material‐cell energy transduction as well as nanomaterial‐modulated photosynthetic light and dark reactions are established. This work not only demonstrates the potential application of semiconductor‐N. sphaeroides biohybrid system as a good platform for sustainable ethylene production but also provides an important reference for future studies to construct and optimize nano‐cell biohybrid systems for efficient solar‐driven valuable chemical production.
Exosome DNA: An untold story of cancer
Authors: Bhattacharya Bikramjit , Dhar Rajib , Mukherjee Sayantanee , Gorai Sukhamoy , Devi Arikketh , Krishnan Anand , Alexiou Athanasios , Papadakis Marios 
Published: June 2023

AbstractExosome is nanosized tiny membrane‐bound vesicles and is a subpopulation of extracellular vesicles (EVs). In general, it participates in intercellular communication and acts as a messenger of several pathological complications. Exosome and cancer interlink is the most exciting domain of current cancer research. The internal molecular cargos (proteins, lipids, metabolites, miRNA, and DNA) of tumor derived exosomes (TEXs) are capable of transforming normal cells into tumor phenotypes. Exosome DNA is the less explored area of EVs research. It is involved in several events in cancer progression such as uncontrol cell growth, reprogramming of immune cells, metastasis, and therapeutic resistance. Exo‐DNA is also involved in epigenetic alteration, which promotes cancer. It has a great impact on cancer theranostics (biomarker and therapeutics) research. Exo‐DNA‐based cancer examination supports more detailed cancer research.
The gut microbiome affects response of treatments in HER2‐negative advanced gastric cancer
Authors: Han Zihan , Cheng Siyuan , Dai Die , Kou Yan , Zhang Xiaotian , Li Fang , Yin Xiaochen , Ji Jingjing , Zhang Zhikuan , Wang Xi , Zhu Ning , Zhang Qi , Tan Yan , Guo Xiaohuan , Shen Lin , Peng Zhi 
Published: June 2023

AbstractBackgroundCommon treatments for metastatic/unresectable HER2‐negative gastric cancer include chemotherapy, immune checkpoint inhibitor monotherapy and chemotherapy plus immune checkpoint inhibitor. However, significant drug resistance exists regardless of the treatment regimen.MethodsPatients with metastatic/unresectable HER2‐negative gastric/gastroesophageal junction adenocarcinoma were enrolled. All patients were divided into three groups according to the treatment regimen and were further divided into responders and non‐responders according to efficacy evaluation. Metagenomics sequencing were performed to analyze gut microbiome signature of patients receiving different treatments at baseline and throughout treatment.ResultsOne hundred seventeen patients with HER2‐negative advanced gastric or gastroesophageal junction adenocarcinoma receiving chemotherapy alone, anti PD‐1/PD‐L1 immunotherapy alone or combined regimen were included in this study. Microbiome signatures related to clinical response are distinct among the three treatment groups. Among which, 14, 8 and 13 species were significantly different between responders and non‐responders in immunotherapy, immunotherapy plus chemotherapy and chemotherapy group, respectively. Patients with higher relative abundance of Lactobacillus possessed higher microbiome diversity and significantly better response to anti‐PD‐1/PD‐L1 immunotherapy and had a trend to achieve better progression‐free survival. Another cohort of 101 patients has been used as an external validation set to confirm the stability and reliability of these findings.ConclusionsGut microbiome affects response of treatments in HER2‐negative advanced gastric cancer in a treatment‐specific way, immunotherapy plus chemotherapy did not equal to a simple superposition of immunotherapy and chemotherapy. Lactobacillus is expected to become a novel choice as an adjuvant agent in promoting the efficacy of immunotherapy in gastric cancer.
Development of a new gastrointestinal endoscope forceps plug that can minimize gas leakage
Authors: Ishida Tomo , Hayashi Yoshinori , Nose Yohei , Goto Kohei , Ishii Yuji , Saito Takuro , Yamashita Kotarou , Tanaka Koji , Yamamoto Kazuyoshi , Makino Tomoki , Takahashi Tsuyoshi , Kurokawa Yukinori , Eguchi Hidetoshi , Doki Yuichiro , Nakajima Kiyokazu 
Published: June 2023

AbstractBackground and aimsIn our previous study, we visualized and systematically evaluated gas leakage from the forceps plug of the gastrointestinal endoscope system using the Schlieren system. In order to minimize the potential risk of infection from gas leakage from the gastrointestinal endoscope, the development of a new forceps plug was considered urgent. In this study, we analyzed the structure of commercially available forceps plugs and attempted to develop new forceps plugs with improvements.MethodsMicrofocus computed tomography was used to nondestructively analyze the structural changes that occur when forceps are inserted into a commercially available forceps plug. Based on the findings, the basic structure of the newly developed forceps plug was set. We examined the airtightness of these newly developed plugs using the Schlieren system and also compared their fractional resistance with those of commercially available plugs.ResultsAs a result of the nondestructive analysis, all of the commercially available plugs had a single valve, and the cleavage created in the valve during forceps, insertion was large in the case of plugs with slit‐type entrances. In the newly developed forceps plugs, all four types of plugs showed less gas leakage and similar or better usability compared to the commercially available plugs.ConclusionsThe structural weaknesses of the existing gastrointestinal endoscopic forceps plugs were identified. Based on the findings, we froze the design of a prototype of a new forceps plug that was airtight and not inferior in usability compared to commercially available plugs.
Microbiome‐modulating nutraceuticals ameliorate dyslipidemia in type 2 diabetes: A systematic review, meta‐analysis, and meta‐regression of clinical trials
Authors: Kaul Ridhima , Paul Pradipta , Harfouche Manale , Saliba Reya , Chaari Ali 
Published: June 2023

AbstractAimsType 2 Diabetes is intrinsically linked to cardiovascular disease (CVD) via diabetic dyslipidemia, both of which remain global health concerns with annually increasing prevalence. Given the established links between gut microbiome dysbiosis and metabolic diseases, its modulation is an attractive target to ameliorate metabolic imbalances in such patients. There is a need to quantitively summarise, analyse, and describe future directions in this field.MethodsWe conducted a systematic review, meta‐analysis, and meta‐regression following searches in major scientific databases for clinical trials investigating the effect of pro/pre/synbiotics on lipid profile published until April 2022. Data were pooled using random‐effects meta‐analysis and reported as mean differences with 95% confidence intervals (CIs). PROSPERO No. CRD42022348525.ResultsData from 47 trial comparisons across 42 studies (n = 2692) revealed that, compared to placebo/control groups, the administration of pro/pre/synbiotics was associated with statistically significant changes in total cholesterol (−9.97 mg/dL [95% CI: −15.08; −4.87], p < 0.0001), low‐density lipoprotein (−6.29 mg/dL [95% CI: −9.25; −3.33], p < 0.0001), high‐density lipoprotein (+3.21 mg/dL [95% CI: 2.20; 4.22], p < 0.0001), very‐low‐density lipoprotein (−4.52 mg/dL [95% CI: −6.36; −2.67], p < 0.0001) and triglyceride (−22.93 mg/dL [95% CI: −33.99; −11.87], p < 0.001). These results are influenced by patient characteristics such as age or baseline BMI, and intervention characteristics such as dosage and duration.ConclusionsOur study shows that adjunct supplementation with a subset of pro/pre/synbiotics ameliorates dyslipidemia in diabetic individuals and has the potential to reduce CVD risk. However, widespread inter‐study heterogeneity and the presence of several unknown confounders limit their adoption in clinical practice; future trials should be designed with these in mind.
Lower skeletal muscle mass is associated with diabetes and insulin resistance: A cross‐sectional study
Authors: Park Jin Hun , Lee Mi-Yeon , Shin Hun-Kyu , Yoon Kyung Jae , Lee JunYeop , Park Jai Hyung 
Published: June 2023

AbstractAimsThe association between skeletal muscle mass and diabetes incidence/insulin resistance/glycated hemoglobin (HbA1C) is unknown. The aim of this study was to investigate such association in clinically apparently healthy males and females.MethodsA cross‐sectional study of 372,399 Korean males and females who completed bioelectrical impedance analysis (BIA) in a health‐screening programme was performed. Skeletal muscle index was used as an indicator of skeletal muscle mass. Skeletal muscle index (%) [appendicular skeletal muscle mass (kg)/body weight (kg)X100] was estimated using BIA. The study outcomes were diabetes incidence, homoeostasis model assessment of insulin resistance (HOMA‐IR), and HbA1C.ResultsThe mean age of study participants was 38.92 ± 8.54 years. Multiple logistic regression analysis revealed a significant negative association between Skeletal muscle index and diabetes incidence/HOMA‐IR/HbA1C after adjusting for various confounding factors. Odds ratios (95% confidence interval (CI)) of diabetes incidence in Q2, Q3, and Q4 compared to the lowest quantile (Q1) were 0.95 (0.85–1.05), 0.88 (0.78–0.99), and 0.79 (0.69–0.9), respectively. Beta coefficients (95% CI) of HOMA‐IR in Q2, Q3, and Q3 with Q1 were 0.05 (0.03–0.07), −0.06 (−0.09∼−0.04), and −0.19 (−0.22∼−0.16), respectively. Beta coefficients (95% CI) of HbA1C in Q2, Q3, and Q4 with Q1 were 0.02 (0.01–0.03), −0.001 (−0.01∼0.01), and −0.02 (−0.03∼−0.01), respectively.ConclusionsThis study demonstrated negative associations of skeletal muscle mass with diabetes incidence, insulin resistance, and HbA1C levels in healthy adults.
Distinct epiphyte responses to drought in tropical mountain cloud forests
Authors: Tsai Yi‐Chen , Wang Lixin , Wang Chiao‐Ping , Lin Teng‐Chiu 
Published: June 2023

AbstractEpiphytes are often considered to be significantly impacted by precipitation changes because their lack of direct access to soil water. However, few in situ studies have examined how reduction in water availability may affect epiphyte growth. Using a unique stemflow collection and diversion device, we examined the effects of stemflow reduction of 25% and 50% on the growth and leaf traits of two common but distinct epiphyte species in a subtropical forest. One species (Asplenium nidus) has a large substrate, and another (Haplopteris zosterifolia) without known water storage structure. The 25% stemflow reduction had limited effects on the growth and leaf traits of the two epiphytes, indicating that 25% stemflow reduction did not reach the water stress threshold for the two epiphytes. It is also possible that the actual reduction in water availability was less than 25% since epiphytes do not use all available stemflow and there could be other sources of water such as fog and throughfall. The 50% stemflow reduction reduced leaf number and leaf area of H. zosterifolia, but not A. nidus, likely because water stored in the large substrate of A. nidus mitigated the impact of stemflow reduction. The thinner leaves, smaller leaf dry matter content, and lower δ13C of A. nidus than H. zosterifolia support the role of water storage of the substrate of A. nidus on mitigating water stress. The 50% stemflow reduction increased leaf thickness, leaf dry matter content of H. zosterifolia, and thickness of abaxial cuticle layer of both epiphytes but had no effect on δ13C. Stemflow reduction had no effects on nutrient concentration and nutrient ratios of both epiphytes suggesting that the epiphytes were able to maintain stoichiometry. Our results indicate that the epiphytes minimized nonstomatal water loss when environmental dryness increased but maintained stomata conductance, which could be important in minimizing the impacts of drought on plant growth and quickly resuming growth once drought ends. Our study highlights that not all epiphytes are similarly vulnerable to drought and precipitation reduction may change the relative abundance of epiphytes with and without water storage structure.
Influence of the filter grain morphology on separation efficiency in dielectrophoretic filtration
Authors: Kepper Mariia , Karim Md Nurul , Baune Michael , Thöming Jorg , Pesch Georg R. 
Published: June 2023

AbstractRecovery of noble materials from waste is essential for industries around the globe. Dielectrophoretic (DEP) filtration, an electrically switchable particle separation technique, can be applied to tackle this challenge. It is highly selective regarding particle size, material or shape. Expanding the scope of DEP towards high throughput and improving the trapping efficiency are vital to make DEP a viable robust alternative to conventional separation methods. DEP filtration works by selective immobilisation of particles in a porous medium by the action of an inhomogeneous electric field. The field inhomogeneity comes from scattering an electric field at the phase boundary between the particle suspension and the filter surface. In this article, we show how the filter structure affects the DEP separation. We study fixed bed filters of three different grain types and find that the morphology of the grains highly influences the DEP filter efficiency. Specifically, grains with irregular surface structure and high perceived angularity show high separation efficiency. We believe these insights into the design of DEP filtration will pave the way towards its application in, for example, the recovery of valuable materials from electronic waste dust.
Phosphonate‐influenced Diels‐Alder chemistry toward multi‐path recyclable, fire safe thermoset and its carbon fiber composites
Authors: Gu Song , Xu Shao‐Dong , Lu Jia‐Hui , Pu Xiao‐Lu , Ren Qing‐Ruo , Xiao Yan‐Fang , Wang Yu‐Zhong , Chen Li 
Published: June 2023

AbstractDynamic covalent chemistry offers a solution to tackle the recycling issue of epoxy resins (EPs) and their carbon fiber‐reinforced composites; however, the vulnerability to creep associated with the inflammable nature of the EPs are the key obstacles for their applications. Herein, we propose a feasible and facile strategy to overcome these obstacles by incorporating phosphorus‐influenced Diels‐Alder (DA) chemistry to construct dynamic epoxy networks. In the strategy, the electron‐withdrawing phosphonate in the dienophile maleimide greatly promotes the thermal stability of the DA reaction, exhibiting excellent creep resistance, repairability, and malleability; while its flame‐retardant activity improves the fire safety of the resultant thermosets. Meanwhile, nondestructive recycling of carbon fiber is achieved. The ease with which EP and its composites can be manufactured, used, recycled and re‐used–without losing service performance–points to new orientation in sustainable composites.image
Forecast accuracy of the linear and nonlinear autoregressive models in macroeconomic modeling
Authors: Taiebnia Ali , Mohammadi Shapour 
Published: June 2023

AbstractMost nonlinear vector autoregressive methods in the econometric literature are based on specific functional forms, such as the smooth transition autoregressive model. This study proposes a general form of the nonlinear vector autoregressive model based on global approximators, such as neural networks, Volterra, and Weiner series. The simulation results of 20 linear and nonlinear multivariate time series processes indicate that nonlinear vector autoregressive methods, especially multi‐output neural networks, are more accurate based on the root mean square error and model confidence set criteria. Applying the global approximator approach to a small‐scale macroeconometric model reveals that the new approach can improve forecast accuracy compared to linear and other nonlinear vector error correction models. In addition, forecasting the relevant variables in a typical exchange rate and monetary policy models based on nonlinear specifications gives more successful results than in the linear case.
Development and validation of a questionnaire to measure association factors with suicide: An instrument for a populational survey
Authors: Rodrigues Juliano Flávio Rubatino , de Araújo Filho Gerardo Maria , Rodrigues Lívia Peregrino , Rubatino Fernando Victor Martins , Fischer Hannes , Payão Spencer Luiz Marques 
Published: June 2023

AbstractBackground and AimsOur goal was to develop an online questionnaire to survey the prevalence of suicidal behavior.MethodsWe developed a questionnaire with 51 variables and proceeded with validations. Validations were performed using face validity, content validity, and construct validity. Reliability was performed by test−rest.ResultsThe face validity was 1.0 and the content validity was 0.91. The exploratory factor analysis got Kaiser−Meyer−Olkin = 0.86 and extracted one principal factor. The confirmatory factor analysis demonstrates root mean square error of approximation = 0.000 and comparative fit index = 1.000. The test−retest had an intraclass correlated coefficient of 0.98.ConclusionThe adequate development questionnaire was validated, and we have an instrument to survey suicide behaviors during the pandemic time.Patient or Public ContributionThe general population of Marília voluntarily responded to the questionnaire, as well as patients from the principal investigator's office.
Osteocyte‐Like Cells Differentiated From Primary Osteoblasts in an Artificial Human Bone Tissue Model
Authors: Munir Arooj , Reseland Janne Elin , Tiainen Hanna , Haugen Håvard Jostein , Sikorski Pawel , Christiansen Emil Frang , Reinholt Finn Per , Syversen Unni , Solberg Lene Bergendal 
Published: June 2023

ABSTRACTIn vitro models of primary human osteocytes embedded in natural mineralized matrix without artificial scaffolds are lacking. We have established cell culture conditions that favored the natural 3D orientation of the bone cells and stimulated the cascade of signaling needed for primary human osteoblasts to differentiate into osteocytes with the characteristically phenotypical dendritic network between cells. Primary human osteoblasts cultured in a 3D rotating bioreactor and incubated with a combination of vitamins A, C, and D for up to 21 days produced osteospheres resembling native bone. Osteocyte‐like cells were identified as entrapped, stellate‐shaped cells interconnected through canaliculi embedded in a structured, mineralized, collagen matrix. These cells expressed late osteoblast and osteocyte markers such as osteocalcin (OCN), podoplanin (E11), dentin matrix acidic phosphoprotein 1 (DMP1), and sclerostin (SOST). Organized collagen fibrils, observed associated with the cell hydroxyapatite (HAp) crystals, were found throughout the spheroid and in between the collagen fibrils. In addition to osteocyte‐like cells, the spheroids consisted of osteoblasts at various differentiation stages surrounded by a rim of cells resembling lining cells. This resemblance to native bone indicates a model system with potential for studying osteocyte‐like cell differentiation, cross‐talk between bone cells, and the mineralization process in a bonelike structure in vitro without artificial scaffolds. In addition, natural extracellular matrix may allow for the study of tissue‐specific biochemical, biophysical, and mechanical properties. © 2023 The Authors. JBMR Plus published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research.
FRAGMENTISE: A user‐friendly, cross‐platform tool to create and analyze comprehensive small‐molecule fragment databases
Authors: Zarnecka Joanna M. , Kaminska Katarzyna H. 
Published: June 2023

AbstractThe ongoing COVID‐19 pandemic, and constant demand for new therapies in unmet clinical needs, necessitates strategies to identify drug candidates for rapid clinical deployment. Over the years, fragment‐based drug design (FBDD) has emerged as a mainstream lead discovery strategy in academia, biotechnology start‐ups, and large pharma. Chemical building block libraries are the fundamental component of virtually any FBDD campaign. Current trends focus on smaller and smarter libraries that offer synthetically amenable starting points for rational lead generation. Therefore, there remains an ever‐increasing need for new methods to generate fragment libraries to seed early‐stage drug discovery programs. Here, we present FRAGMENTISE—a new user‐friendly, cross‐platform tool for user‐tunable retrosynthetic small‐molecule fragmentation. FRAGMENTISE allows for visualization, similarity search, annotation, and in‐depth analysis of the fragment databases in the medicinal chemistry context. FRAGMENTISE is available as standalone software for Linux, Windows, and macOS users, with a graphical interface or command‐line version.