bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nanotheranostic Trojan Horse for Visualization and Photo-Immunotherapy of Multidrug-Resistant Bacterial Infection
Authors: Pang Xin , Xu Haohang , Geng Qishun , Liu Heng , Zhang Xiao , Miao Mingsan 
Published: September 2023

Abstract
Effective diagnosis and therapy for bacterial infections, especially those caused by multidrug-resistant (MDR) species, greatly challenge current antimicrobial stewardship. Monocytes, which can chemotactically migrate from the blood to infection site and elicit a robust infection infiltration, provides a golden opportunity for bacterial theranostics. Here, an endogenous cell hitchhiking nano-Trojan Horse was facilely engineered using mannose-functionalized manganese-eumelanin coordination nanoparticles (denoted as MP-MENP) for precise two-step localization and potent photothermal-immunotherapy of complicated MDR bacterial infection. Taking advantage of the selective recognition between mannose and inflammation-associated monocytes, the MP-MENP could be passively piggybacked to infection site by circulating monocytes, and also actively target infiltrated monocytes that are already accumulated in infection microenvironment. Such dual-pronged targeting enabled an efficient photoacoustic and magnetic resonance imaging of bacterial infection. Upon laser irradiation, the MP-MENP robustly produced local hyperemia to ablate pathogenic bacteria, both extracellularly and intracellularly. Further combined with the synergistic effect of immunogenic cell death induced by photothermal therapy and macrophage reprogramming by MP-MENP, the immunosuppressive infection microenvironment was significantly relieved, allowing an enhanced antibacterial immunity. Collectively, the proposed nanotheranostic Trojan Horse, which integrate dual-pronged targeting, precise imaging diagnosis, and high-performance photothermal immunotherapy, promise a new way for complete eradication of MDR bacterial infection.
Improving the Application Performance of Loki via Algorithm Optimization
Authors: Zhu Wenming , Su Wenjing , Yang Kai , Chen Hao 
Published: September 2023

Abstract
Loki is a state-of-the-art adaptive bitrate algorithm for the transmission of real-time-communication (RTC) video. It fuses traditional heuristic methods with a learning-based model to maximize the quality of experience (QoE) under diverse network conditions. However, a recurring rebound pattern is observed in Loki’s decision-making process where the decision frequently oscillates between the two boundaries of the action space, making Loki fail to adapt to the fluctuating network bandwidth. To address this issue, we propose Loki+, which improves both the fusion mechanism and the design of the learning-based actor. Specifically, we replace the element-wise multiplication with a simple but effective trend fusion and further optimize the design of reward and loss functions for training Loki+. Extensive simulation results show that Loki+ significantly improves the QoE in the aspects of reducing the stall rate by 20%∼60% and the frame delay by 3.5%∼30.5% while maintaining a similar sending bitrate or video quality, compared with Loki.
The impact of blood MCP-1 levels on Alzheimer’s disease with genetic variation of UNC5C and NAV3 loci
Authors: Huang Jinghan , Wang Yixuan , Stein Thor D. , Ang Ting Fang Alvin , Zhu Yibo , Tao Qiushan , Lunetta Kathryn L. , Mez Jesse , Au Rhoda , Farrer Lindsay A. , Qiu Wei Qiao , Zhang Xiaoling 
Published: September 2023

Abstract
Background
Previous study shows that monocyte chemoattractant protein-1 (MCP-1), which is implicated in the peripheral proinflammatory cascade and blood-brain barrier (BBB) disruption, modulates the genetic risks of AD in established AD loci.
Methods
In this study, we hypothesized that blood MCP-1 impacts the AD risk of genetic variants beyond known AD loci. We thus performed a genome-wide association study (GWAS) using the logistic regression via generalized estimating equations (GEE) and the Cox proportional-hazards models to examine the interactive effects between single nucleotide polymorphisms (SNPs) and blood MCP-1 level on AD in three cohorts: the Framingham Heart Study (FHS), Alzheimer’s Disease Neuroimaging Initiative (ADNI) and Religious Orders Study/Memory and Aging Project (ROSMAP).
Results
We identified SNPs in two genes, neuron navigator 3 (NAV3, also named Unc-53 Homolog 3, rs696468) (p < 7.55×10− 9) and Unc-5 Netrin Receptor C (UNC5C rs72659964) (p < 1.07×10− 8) that showed an association between increasing levels of blood MCP-1 and AD. Elevating blood MCP-1 concentrations increased AD risk and AD pathology in genotypes of NAV3 (rs696468-CC) and UNC5C (rs72659964-AT + TT), but did not influence the other counterpart genotypes of these variants.
Conclusions
NAV3 and UNC5C are homologs and may increase AD risk through dysregulating the functions of neurite outgrowth and guidance. Overall, the association of risk alleles of NAV3 and UNC5C with AD is enhanced by peripheral MCP-1 level, suggesting that lowering the level of blood MCP-1 may reduce the risk of developing AD for people with these genotypes.
SEREIA - Document Store Exploration through Keywords
Authors: Afonso Ariel Antony Afonso , Martins Paulo Rodrigo Oliveira Martins , Soares Altigran Soares da Silva 
Published: September 2023

Abstract

The adoption of document stores, such as MongoDB or CouchDB, has drastically increasedin the past years. Part of this popularity can certainly be explained by their flexibility interms of loading, storing, and retrieving semi-structured data on massive scales. However,adopting such systems presents challenges when exploring the data they store since thestructure of the document may not follow a single pattern, and thus present complexhierarchical and nested structures that vary. Additionally, an analyst who wants to retrievedata may experience difficulties since she must learn the specificities of the document store’snative query language. In this work, we propose SEREIA, a system that facilitates dataexploration in document stores through keyword search. The user inputs a non-structuredkeyword-based query and the system generates a structured query for the document storethat fulfills her information needs. We evaluated SEREIA using five datasets previously usedin the literature and the results we achieved indicate that SEREIA is suitable for helping usersin data exploration tasks by removing the burden of understanding the data organization ofthe stored documents and by automatically generating queries to explore data of interest.
Multiple Thrombi mimicking metastases in the right atrium of patients with non-Hodgkin's lymphoma diagnosed by multimodal cardiac imaging：one case report
Authors: Hu Zhiqiang , Yuan Shuai , Mou Yun 
Published: September 2023

Abstract
Background：
Right-side heart mass can be found incidentally on routine transthoracic echocardiography (TTE). Accurate diagnosis of cardiac mass often requires more than one imaging method. We present a mid-age woman with non-Hodgkin lymphoma who was found to have multiple right atrial masses mimicking metastases on routine TTE, which were diagnosed as thrombi by multimodal cardiac imaging eventually. The masses were removed by cardiopulmonary bypass thoracotomy because of a high risk of pulmonary embolism.
Case presentation:
A 52-year-old woman was diagnosed with primary mediastinal diffuse large B cell lymphoma (DLBCL) almost six months prior. The TTE revealed multiple masses in the right atrium with normal cardiac function when she was being evaluated for the next chemotherapy. On arrival, she was hemodynamically stable and asymptomatic. Physical examination was no remarkable. Laboratory findings showed leukocytosis of 17,900 cells/mm3, hemoglobin of 7.5 mg/dL, and a normal D-dimer level. The suspicious diagnosis of right atrial metastasis was made by TEE. However, the diagnosis of right atrial thrombi was made by contrast CMR. Finally, the 18F-FDG PET-CT demonstrated no metabolic activity in the right atrium, which further established the diagnosis of thrombi. Eventually, the masses were removed by cardiopulmonary bypass thoracotomy because of a high risk of pulmonary embolism, and confirmed thrombi by histopathology.
Conclusions:
This case highlights the importance of multimodality cardiac imaging in the appropriate diagnosis of a RA masses in patient of lymphoma. Diagnosis of RA masses can be made using multimodal cardiac imaging like TTE, TEE and CMR, even PET. Echocardiography is the most commonly used on multimodal imaging in cardiac thrombus. CMR has high specificity in differentiating a tumor from thrombus, and 18F-FDG PET has more sensitivity to determine the nature of the masses.
The Dynamic Impact and Spatial Spillover of Digital Economy on the High-quality Development of China's Manufacturing Industry from a Sustainable Perspective
Authors: Ren Fang-rong , Liu Xiao-yan , Ji Mi , Ren Yang-jun 
Published: September 2023

Abstract
Based on panel data from 30 provinces in mainland China from 2011 to 2017, this research investigates the spatial spillover effect and nonlinear impact of digital economy (DE) on green and high-quality manufacturing industry (GHMI) using the spatial econometric and panel threshold model. It is found that both the DE and GHMI have a significant positive spatial correlation. The spatial econometric model under different weights all illustrate that regional DE has not significantly promoted GHMI in local region, but produced a significant positive influence on GHMI in neighboring regions. The east region has a higher degree of DE, while the level of DE in the central and west regions are both lower and close to each other. The level of GHMI shows a decreasing pattern in the east, central and west regions in that order. In addition, the impact of DE on GHMI presents a significant single threshold effect. With the improvement of DE, GHMI has a U-shaped change trend. Attention should be paid to the threshold effect of DE on GHMI, control the development speed of DE within a reasonable range, scientifically allocate DE resources according to different regional economic development levels in order to promote GHMI.
Wish You Were Here? the Economic Impact of the Tourism Shutdown from Australia’s 2019-20 ‘Black Summer’ Bushfires
Authors: Reiner Vivienne , Pathirana Navoda Liyana , Sun Ya-Yen , Lenzen Manfred , Malik Arunima 
Published: September 2023

Abstract
Tourism, including education-related travel, is one of Australia’s top exports and generates substantial economic stimulus from Australians travelling in their own country, attracting visitors to diverse areas including World Heritage rainforests, picturesque beachside villages, winery townships and endemic wildlife. The globally unprecedented 2019-20 bushfires burned worst in some of these pristine tourist areas. The fires resulted in tourism shutting down in many parts of the country over the peak tourist season leading up to Christmas and into the New Year, and tourism dropped in many areas not physically affected by the fires. Our research quantified the cost of the short-term shock from tourism losses across the entire supply chain using input-output (IO) analysis, which is the most common method for disaster analysis; to this end, we also developed a framework for disaggregating the direct fire damages in different tourism sectors from which to quantify the impacts, because after the fires, the economy was affected by COVID-19. We calculated losses of AU$2.8 billion in total output, $1.56 billion in final demand, $810 million in income and 7300 jobs. Our estimates suggest aviation shouldered the most losses in both consumption and wages/salaries, but that accommodation suffered the most employment losses. The comprehensive analysis highlighted impacts throughout the nation, which could be used for budgeting and rebuilding in community-and-industry hotspots that may be far from the burn scar.

CLASSIFICATION CODES
MSC:
15B99 (Linear and multilinear algebra; matrix theory)
JEL
C67 (Input-Output Models)
Z3 (Tourism Economics)
A Novel Innovative Approach for Text Document Identification through Word Clouds technique
Authors: Khandagale Sachin , Kurundkar Gajanan , Tathe Rajkumar , Kawade Dipak 
Published: September 2023

Abstract
Text is a versatile and valuable approach to conveying information and knowledge. Unstructured data, however, poses challenges when it comes to reading and extracting valuable information. Users cannot find their subject domains within a matter of seconds without reading them at all. To accurately determine the category of a document or text data, the user must identify the presence of certain key sections in the document. So, text analysis is required to get hidden features from data. Word cloud is one of the important tools in machine learning useful for summarizing and visualizing important words and themes. It can extract relevant features necessary for categorizing text documents into appropriate themes. In this study, we use a document identification approach based on word clouds. The present study uses various news for identification purposes which were downloaded from different newspaper websites. People can find their topics in seconds without even reading them. This study provides numerous interactive graphics and robust, customizable features to help understand the subject of a document.
The Second Time to Measure the Gravitational Constant G Between Massive Objects
Authors: HU qinggui , Xinlong ZHANG 
Published: September 2023

Abstract
Cavendish torsion experiment is the most important experiment to measure the gravitation constant G all over the world. However, it can only measure the gravitational constant between small objects. In 2008, the new experiment was put forward. It can measure G between huge objects. At the same time, the new theory was put forward also: The universal gravitation would be the resultant of the attraction and repulsion forces of the countless molecules and atoms between the two objects, it is possible for the gravitation constant G to have a variable value. The paper was published on the Journal of Hebei University of Science and Technology, Volume 29, Issue 2. In 2021, the experiment was carried out and new G between 2 kg iron ball and 20 t steel plate was obtained, which was 9.09× 10-9 N · m 2 /kg 2. While the internationally recognized value is 6.672 59 ×10-11 N · m 2 /kg 2 , there is a significant difference between the two values, which is difficult to explain with traditional theories. Therefore, in early June 2023, we established another experimental platform to do the experiment again. The new G between 5 kg iron ball and 30 t steel plate was obtained, at this time, it was 1.407991 × 10-9 N · m 2 /kg 2. The accuracy of this experiment is 97.4%. The new experimental results provide another perspective for studying the theory of gravity. We hope more colleagues to do the new experiment once more.
Plasma Cell-Free Adenomatous Polyposis Coli Gene Promoter Methylation as a Prognostic Biomarker for Hepatocellular Carcinoma
Authors: Hsiao Chih-Yang , Lu Chang-Yi , Su Hung-Ju , Huang Kai-Wen 
Published: September 2023

Abstract

Introduction: Hepatocellular carcinoma (HCC) is a leading cause of cancer death worldwide. Lack of biomarkers for early diagnosis and follow up after treatment is one of the clinical obstacles for effective treatment of HCC. DNA methylation has been proposed to be a potential biomarker in HCC. However, there is still lacking of evidence of its clinical use. The aim of this study is to evaluate the value of using plasma Adenomatous Polyposis Coli promoter methylation (APC-MET) as a potential biomarker in HCC treatment.
Method: A total of 96 patients with HCC at BCLC stage B underwent local tumor ablation treatment were prospectively included in this study. APC-MET was examined from the plasma of each patients before and 1 months after treatment. The prediction value of APC-MET for survival outcome and disease status after treatment were analyzed, and adjusted with alpha-fetoprotein and protein induced by vitamin K absence-II using cox regression analysis.
Results: Univariate cox regression analysis showed preoperative APC-MET >0 (HR, 2.9, 95% CI 1.05－8.05, p=0.041) and postoperative APC-MET >0 (HR, 3.47, 95% CI 1.16－10.4, p=0.026) were both predictors of death, and preoperative APC-MET >0 was a predictor of disease progression after treatment (HR, 2.04, 95% CI 1.21－3.44, p=0.007). In multivariate models, pre-op APC-MET >0 was a significant predictor of disease progression after adjusting with other two traditional biomarkers (HR, 1.82, 95% CI 1.05－3.17, p=0.034).
Conclusions: Hypermethylation of APC promoter appears to be a potential new biomarker that could predict patient survival and disease progression outcome in patients with intermediate stage HCC after local ablation treatment.
Determination of the Chemical and Proximate Properties of Fresh Milk Samples From Small Holder Dairy Cows and Large Mechanized Dairy Cows in Parts of Kaduna State, Nigeria.
Authors: Abubakar Umar 
Published: September 2023

Abstract
The Chemical and Proximate composition of different raw fresh milk samples from small holder dairy cows and large mechanized dairy cows in Zaria and Kaduna in Kaduna State, Nigeria were determined using standard methods and EDRXF spectrophotometer. The mean values of the pH based on farm locations ranged between 6.71 ± 0.03–6.81 ± 0.02 and the titratable acidity ranged from 0.15 ± 0.04–0.17 ± 0.03. From the various farms, while the mean values of the proximate composition of milk from the various farms ranged from 86.30 ± 0.01–87.94 ± 0.04 for moisture up to 12.51 ± 0.01–13.82 ± 0.01 for Total solids. Based on the different farm management locations, the proximate values for moisture ranged from 86.38 ± 0.01–87.25 ± 0.18 while that of Total solids ranged from 12.96 ± 0.12–13.49 ± 0.02. The statistical analysis of the obtained result at 0.05 probability value showed significant differences between pH values, between acidity values as well as in the values of the proximate characteristics from the different farm locations which were attributable to the differences in the farm management practices.
Sensitivity of Staphylococcus Species From Fresh Raw Milk Samples to Common Antibacterial Agents in Parts of Kaduna State, Nigeria
Authors: Abubakar Umar 
Published: September 2023

Abstract
The global problem of antimicrobial resistance is particularly pressing in developing countries of which Nigeria is not left out. The aim of the study is to test the susceptibility or resistance of Staphylococcus species from milk samples to commonly used antibiotics. A total of 592 quarter milk samples, 30 bulk milk samples and 27 swab samples of the hands of milk men were examined from 12 dairy farms in Kaduna and Zaria. One hundred and three (103) Staphylococcal isolates that were Gram positive and catalase positive were identified biochemically, out of which the identities of 51 different Staphylococcal species were confirmed using the Microbact Microgen kit. From these, 30 selected isolates were tested against 9 commonly used antibiotics. The antibacterial sensitivity pattern of the 30 isolates to common antibiotics showed a complete (100%) resistance to Amoxicillin and a complete (100%) susceptibility to Ciprofloxacin, but the isolates showed varying degrees of resistance & susceptibility to the other antibacterial agents. All the isolates exhibited multiple antibiotic resistance to 3–6 antibiotics. Methicillin resistance was manifested in the resistance of the organisms to Cefoxintin (a surrogate of Methicillin).
Experimental study on non-Darcian flow through a single artificial fracture for different fracture apertures and surface roughness
Authors: Pandey Snigdha , Sharma Pramod Kumar 
Published: September 2023

Abstract

This study aims to explore the influence of various geometrical and hydraulic parameters on flow behavior and hydraulic conductivity in a single artificial fracture through a series of laboratory experiments. Laboratory experiments were conducted to examine unconfined groundwater flow through an artificially constructed single fracture. The fracture model consisted of varying aperture sizes (3, 9, and 12 mm) and different surface roughness conditions (fine, medium, and coarse sand coatings). Non-Darcian turbulent flow characteristics were observed at different flow rates, and the gradient of Reynolds number versus average flow velocity increased with aperture size. Flow parameters of the Darcian, Izbash, and Forchheimer models were calculated to characterize the flow behavior. Both the Forchheimer and Izbash models were found suitable for describing the non-Darcian flow characteristics under the prevailing conditions. The study revealed that hydraulic conductivity depended on flow length for fractures with different apertures and surface roughnesses, likely due to the presence of 2-D torturous flow within the rough fracture surface. These findings contribute to a better understanding of groundwater flow in fractured rock aquifers and provide valuable insights for modeling and managing such systems.
NEW LOCALITIES OF THE MORELET’S LEAF FROG (Agalychnis moreletii) FROM GUERRERO, MEXICO
Authors: Palacios Aguilar Ricardo , Vázquez-Arroyo Enrique , Santos-Bibiano Rufino 
Published: September 2023

We present new localities of Agalychnis moreletii from Guerrero, Mexico, including the northernmost record of the species through its entire range. Additionally, we discuss previously reported altitudinal ranges of the species in the state.
Long-term speech outcome after anterior distraction osteogenesis of the maxilla in patients with cleft lip and palate
Authors: Klintö Kristina , Svensson Henry , Wiedel Anna-Paulina 
Published: September 2023

Advancement of the maxilla may increase the distance between the soft palate and the posterior pharyngeal wall in patients with cleft lip and palate, implying a risk of velopharyngeal dysfunction. The aim was to evaluate long-term speech outcome in a consecutive series of patients treated with distraction osteogenesis (DO). Fourteen out of the 16 patients agreed to participate. A long-term speech follow-up was performed 1.5 to 13.5 years after DO. For two participants, audio recordings before DO were missing, and for another one, it was incomplete. The percentage of consonants correct (PCC) based on phonetic transcription and perceived velopharyngeal competence rated on a three-point scale were assessed before and after DO by three independent judges, based on audio recordings of reading of standardised sentences. Also, the participants were asked how they perceived their speech after DO. Changes in PCC were insignificant. Four participants perceived deteriorated speech related to DO. In two cases, the subjective deterioration did not correlate to results from perceptual assessment. In two others, the subjective deterioration correlated with the perceptual assessment, and the velopharyngeal function was judged as being incompetent after DO. After secondary velopharyngeal surgery, velopharyngeal function improved to competent in one case and marginally incompetent in the other. The results need to be interpreted with caution due to methodological limitations but indicate that some patients develop deteriorated velopharyngeal function after DO. The impact on articulation needs to be further explored. It is important that patients are informed before treatment of the risk of velopharyngeal dysfunction after DO.