bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Mechanism of Traditional Chinese Medicine in Preventing Bone Metastasis of Breast Cancer through Data Mining
Authors: Han Linqiu , Dai Jinfang , Zhang Liangping 
Published: August 2023

Abstract
Bone metastasis is a prevalent and incapacitating ailment that significantly impacts the well-being of individuals with advanced breast cancer. Traditional Chinese medicine (TCM) has exhibited encouraging effectiveness in mitigating bone metastasis in breast cancer. In order to investigate the therapeutic approaches of TCM in addressing bone metastasis, we conducted a comprehensive analysis utilizing data mining technology. We methodically examined the China National Knowledge Infrastructure (CNKI), Wanfang, VIP, and PubMed databases to identify pertinent TCM literature pertaining to breast cancer bone metastasis. A total of 77 Traditional Chinese Medicine (TCM) prescriptions and 182 individual herbs were included in the study, resulting in a cumulative frequency of 886 instances of TCM use. Association rule analysis and cluster analysis were conducted using SPSS Moddler and SPSS 25.0 software. The most frequently prescribed TCM herbs for treating bone metastasis in breast cancer patients were cooked Rehmannia, psoraleae, Angelica sinensis, Eucommia ulmoides, and Guchibubua. In order to investigate the effectiveness and underlying molecular mechanisms of TCM combinations in the treatment of bone metastasis, we analyzed drug pairs utilizing the TCMSP and TCMID databases. Furthermore, breast cancer bone metastasis-related gene chip data was obtained from the GEO database, and the R differential gene score was utilized to ascertain significant genes linked to the two drugs employed for bone metastasis treatment. Subsequently, enrichment analysis was conducted using the DAVID database to investigate potential pathways and crucial targets for the management of bone metastasis in breast cancer. The validation of central targets was conducted through molecular docking analysis, in conjunction with data obtained from the GEPIA, HPA, and CBIOpportunities databases. The results of our investigation unveiled that Eucommia ulmoides, Rehmannia rehmannii, Psoralea psoralea, and Gushushi were frequently employed in Traditional Chinese Medicine (TCM) prescriptions for the management of bone metastasis in breast cancer. Additionally, we identified COL1A1, HIF1A, FOS, TP53, MAPK3, and RUNX2 as potential key targets that exert influence on bone metastasis in breast cancer. In summary, this study employed data mining methodologies to unveil the medication patterns of Traditional Chinese Medicine (TCM) for the treatment of bone metastasis in breast cancer. The identification of TCM herbs and their potential molecular targets offers significant insights into the development of targeted therapeutic approaches and the elucidation of the underlying mechanisms of TCM in addressing bone metastasis in breast cancer.
Association between coffee consumption and diabetic complications: A two- sample Mendelian randomization study
Authors: Liang Yingchao , Hu Xinyu , Jia Mingjie , Liu Deliang , Chu Shufang , Li Huilin 
Published: August 2023

Abstract
In response to the current clinical debate regarding the causal relationship between coffee consumption and the risk of diabetic complications, we conducted a two-sample Mendelian randomization study to determine the impact of coffee on diabetic complications, and further explored this association in complications of diabetes subtypes. We collected summary statistics from 22 genome-wide association studies in the UK Biobank database and FinnGen R9 repository. Causal effects were assessed using the inverse variance weighted (IVW) method, MR pleiotropy residual sum and outlier (MR-PRESSO) model, maximum likelihood method, weighted median method, simple median method, and MR-Egger method. Cochran's Q test, MR-Egger intercept test, and MR-PRESSO global test were utilized for sensitivity analysis. Genetic evidence indicates a positive linkage between coffee intake and the risk of diabetes complications, with coffee significantly increasing the risk of diabetic nephropathy, diabetic neuropathy, and diabetic peripheral angiopathy, and possibly promoting the occurrence and progression of diabetic ocular complications. Coffee also contributed substantially to the complications of type 2 diabetes, while the connection between coffee consumption and complications of type 1 diabetes was modestly notable. These findings provide a scientific foundation for more targeted prevention and management of diabetes complications.
A combined experimental and computational analysis of dexamethasone-conjugated silver nanoparticles for improved surface-enhanced Raman substrate detection.
Authors: Mwenze Nancy Mwikali , Birech Zephania , Juma Moses , Cloete Karen J. , Ondieki Annah , Jeptoo Carolyne , Kaduki Kenneth , Dhlamini Simon , Maaza Malik 
Published: August 2023

Abstract
Computations based on density functional theory (DFT) and experimental analysis on spectral vibrations have been performed on the dexamethasone molecule. The computer simulations have been analyzed using DFT-B3LYP functional at 6-311 + + G(d,p) basis. UV-Vis and Raman spectra have been recorded and reported. High-purity silver granules (99.99%) were immersed in 5 ml of distilled water in a 25 ml glass beaker. A Q-Switched Nd: YAG laser (1064 nm, max energy of 250 mJ, 8 ns) was focused on the silver sample target by a convex lens whose focal length was 30mm. The ablation time varied from 2 to 8 hours leading to the formation of yellow to dark brown AgNPs colloids. Raman spectroscopy, UV-Vis spectroscopy, and Scanning Electron Microscopy techniques were used for the sample characterization. At 8 hours, the synthesized AgNPs were most chemically stable and had spherical colloids with a diameter of 6.3 nm. Conjugating dexamethasone with AgNPs led to the enhancement of the Raman signals by a factor of 1.4. A position shift in the plasmon resonance peak attributed to the newly formed complex with unique optical characteristics was noted. The findings support the possibility of enhancing the functionality of dexamethasone by developing new-drug-like candidates after conjugation with AgNPs.
Weber-Fechner law underlying perception of synchronized group clapping
Authors: Niizato Takayuki , Nishiyama Yuta , Zempo Keichi , Koike Yuka , Arai Koki 
Published: August 2023

Abstract
Recent studies have revealed that temporal perception can be changed in sensor-motor cycles. The mechanism for this may be Bayesian inference; our beliefs regarding the cause--effect relationship can influence our temporal perception as we can anticipate the outcome. The Bayesian paradigm has also been incorporated into studies of collective behaviours by agents interacting through time. However, the cause--effect relationship in the real group inevitably intertwines and may invalidate Bayesian inference relying on a solid cause--effect relationship. This study investigated temporal perception of synchronised group clapping. We found that the intensity of temporal binding on the perception of group clapping increases with group size, supporting the Weber--Fechner law of temporal perception. In addition, we apply the temporal Weber--Fechner law to a simple theoretical model. As a result, this law explains how the frequency increase of group clapping is influenced by the group size, known as joint rushing. These findings suggest that the change in temporal perception following the law generates complex group dynamics.
Proposal for the pre-screening method for early detection of Sjögren’s syndrome, based on the difference of salivary marker of hyposalivation
Authors: Yoshino Yoko , Imamura Takahiro , Nomura Yoshiaki , Ushikoshi-Nakayama Ryoko , Saito Ichiro , Nakagawa Yoichi 
Published: August 2023

Abstract
Reduced salivary secretion is seen in Sjögren’s syndrome (SS), and also seen in Hypo-salivation (Non-SS). However, salivary gland damage is not seen in Non-SS, so, definitive diagnosis of SS requires pathological diagnosis with biopsy. They are invasive and give a physical burden on patients, so, pre-screening methods that distinguish between SS and Non-SS would be beneficial for patients. In this study, we investigated the difference of salivary biomarker between SS and Non-SS for to clarify characteristic feature in SS group and it would contribute to develop the pre-screening method.
Role of isomers and steric hindrance in the micellization of carboxylated carbosilane surfactants
Authors: Wu Tianquan , Liu Hailong , Tan Jinglin 
Published: August 2023

Abstract

A series of carboxylated carbosilane surfactants with methyl, ethyl, branching CH3-, phenyl, and cyclohexyl (Me-Si2C-COONa, Et-Si2C-COONa, Si2C-La-COONa, Ph-Si2C-COONa, and Cy-Si2C-COONa) were prepared. The effect of isomer and steric hindrance on their micellization in aqueous solution was investigated by surface tension, conductivity, transmission electron microscopy (TEM) and dynamic light scattering (DLS). Si2C-La-COONa with branching CH3- shows a lower γCMC value and higher the CMC value compared with Et-Si2C-COONa. Cy-Si2C-COONa with cyclohexyl (41.6 mN·m− 1) and Ph-Si2C-COONa with phenyl (43.9 mN·m− 1) have larger γCMC values due to the distinct steric hindrance and hydrophobicity. In aqueous solution, the aggregation behavior of Si2C-La-COONa, Cy-Si2C-COONa, and Ph-Si2C-COONa is enthalpy-driven. However, the micellization process of Me-Si2C-COONa and Et-Si2C-COONa is governed by the enthalpy-driven at high temperature and entropy-driven at low temperature. DLS and TEM results indicate that the carboxylated carbosilane surfactants can self-assemble into aggregate with hydrodynamic diameters of 50–400 nm.
POC1A promotes lung adenocarcinoma progression through the PI3K/AKT pathway and is a potential prognostic marker
Authors: Liu Yuzhen , Kang Zhu , Chen Rui , Zhiping Wang , Shijin Wan , Peimeng You , Tou Fangfang 
Published: August 2023

Abstract
Background
POC1A, also known as WDR51A (POC1 Centriolar Protein Homolog A), has been implicated in a number of malignancies. However, its biological role in Lung Adenocarcinoma is still largely unknown. This study was performed to investigate the biological role and potential mechanism of POC1A in adenocarcinoma of lung.
Methods
POC1A expression in LUAD was analyzed for combining datasets by the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Diagnosis and prognostic relevance of POC1A were evaluated through differential expression analysis, Kaplan-Meier curves, cox regression, construction of the nomogram, Gene-set enrichment analysis (ssGSEA). Based on a series of in vitro experiments, such as Western blot analysis, CCK 8 determination, and transwell determination, etc. The biological behavior and role of POC1A in lung cancer cells was estimated.
Results
POC1A expression was upregulated in most cancers and predicted poor prognosis of lung adenocarcinoma in TCGA. The results showed that POC1A expression was significantly associated with Th2 cells, mast cells, eosinophils cells, and Tcm cells. The in vitro results showed that POC1A knockdown inhibited the proliferation, migration and invasion of LUAD cells and promoted the apoptosis of LUAD cells.
Conclusion
Our bioinformatics and in vitro experiments confirm that POC1A is substantially expressed in LUAD and is connected to a negative prognosis. In vitro experiments showed that POC1A promotes proliferation, migration and invasion of LUAD tumor cells. These findings suggest that POC1A may serve as a potential prognostic biomarker and therapeutic target for LUAD.
The heterogeneous effects of COVID-19 on young adults purchasing patterns: An examination using causal random forest
Authors: Choi Youngran 
Published: August 2023

Abstract

The coronavirus (COVID-19) pandemic prompted governments worldwide to implement lockdown measures that resulted in an increase in online purchases. Young consumers, who are familiar with browsing online platforms, may respond differently than older consumers to the pandemic in terms of online purchases. The generalized random forest (GRF) was employed to identify the heterogeneous causal effects of COVID-19 on the online shopping habits of young consumers. The attributes the GRF analysis identified as sensitive to COVID-19 in inducing online purchases include: gender based on employment, race, television ownership, and specific types of grocery products (i.e., dry foods and frozen foods). Understanding the heterogeneity in the effects of COVID-19 that induce young consumers to shop online can provide practitioners with insights on how to prioritize and target high-impact groups with specific characteristics while improving management and policy strategies for future pandemics or other extended periods of disruption of in-store businesses.
JEL Codes: M30, L81, P36
Study on Carbon Emissions of Clean Heating in Northern Rural Areas
Authors: Xue Yibing , He Yi , Yu Hongwen , Song Ziye 
Published: August 2023

Abstract
By taking clean heating in rural northern areas as the object of research, the research shows seven clean heating systems. It defines the LCA carbon emission accounting boundary for the clean heating system. The research analyses the carbon increment, savings, emission intensity, and emission trend during the lifetime and operating costs. The Solar + system has the highest carbon increment but has the best carbon-saving effect. Compared to the original coal-fired system, the rate of carbon savings reaches 83.86%; in the lifetime, the carbon emission intensity of heat generation decreases from 0.56 tCO2e/(kWh·a) to 0.16 tCO2e/(kWh·a), which is 20% of the original coal-fired system. From the fourth year, its carbon emissions will be better than the others.
Seasonal variability of NDVI-LST relationship in Hyderabad, India
Authors: Veeravalli Sai Ganesh 
Published: August 2023

Abstract

This study investigates the spatiotemporal and seasonal dynamics of NDVI, LST and their relationship in Hyderabad, India from 1993 to 2018, using Landsat data. Focused on the unique urban context, the research unveils distinct patterns in both NDVI and LST. Specifically, the highest NDVI values are observed during the monsoon and post-monsoon seasons, while elevated LST values are found in the pre-monsoon and post-monsoon seasons. This temporal analysis underscores the evolving nature of urban vegetation cover, indicating its stability and resilience over the study duration. Furthermore, the study highlights an observed increase in LST during the pre-monsoon and post-monsoon seasons, signifying potential risks such as heatwaves and extended mosquito breeding seasons. These observations align with the intensification of the urban heat island effect and a reduction in urban vegetation cover. Additionally, a negative correlation between LST and NDVI is established across all seasons and years, with the strongest negative correlation observed during the monsoon season and weakest during the winter season. The findings enrich existing knowledge on NDVI-LST dynamics, informing urban planning and management strategies to mitigate the adverse impacts of rapid urbanization on human health and the environment. The interdisciplinary approach, combining remote sensing techniques, geographic analysis, and urban environmental research, offers a comprehensive understanding of the NDVI-LST dynamics.
LINC-PINT and LincRNA-P21 play a role in the mechanism of action of hydrogen gas’s therapeutic effect on lung cancer cells
Authors: Zhang Lu , Varjas Timea , Pozsgai Éva , Szabó István , Szenczi Ágnes , Alfatafta Huda , Song Yongan , Macharia John , Liu Hongbo , Kiss István 
Published: August 2023

Abstract
(1) Purpose: Non-small cell Lung cancer (NSCLC) is one of the leading causes of cancer mortality globally. Hydrogen (H2) gas is a possible anticancer agent. Long non-coding RNAs (lncRNA), including LINC-PINT and lincRNA-P21, involves in regulating the apoptotic proteins’ expression. Therefore, our study aim was to investigate the H2 treatment effect on the LINC-PINT and lincRNA-P21's expression in NSCLC cells;
(2) Methods: A549 cells were treated with three H2 gas concentrations at different times. qRT-PCR was used to assess the LINC-PINT and lincRNA-P21’s expressions. One-way analysis of variance (ANOVA) and linear regression were carried out to analyse the differences;
(3) Results: The expression of LINC-PINT was significantly correlated with the increasing (0-10%) H2 concentrations, after both 2-hour-30-minute and 3-hour hydrogen treatment (R22H30=0.52, R23H=0.57, both P<0.05). This positive relationship -between expression and H2 concentrations- was also observed for lincRNA-P21 expression after 2-hour-30-minute H2 treatment (R2=0.88, P<0.01). In contrast, the expression of LINC-PINT showed a significant negative correlation with H2 after 3-hour-40-minute (R2=0.81, P<0.01);
(4) Conclusions: The expressions of LINC-PINT and lincRNA-P21 were upregulated after H2 gas treatment. Thus, it appears highly probable that the therapeutic effect of hydrogen gas is achieved by upregulating LINC-PINT and lincRNA-P21’s expressions in NSCLC cells.
Clinical and Biochemical Evaluation of The Use of Alb-PRF Versus L-PRF in Mandibular Third Molar Extractions: a Split-Mouth Randomized Clinical Trial
Authors: Javid Kayvon , Mourão Carlos Fernando , Sartoretto Suelen Cristina , Melo-Machado Rafael Coutinho , Torres Madelaine , Lourenço Emanuelle Stellet , Leite Paulo Emilio Correa , Granjeiro José Mauro , Alves Gutemberg Gomes , Calasans-Maia Monica Diuana 
Published: August 2023

Abstract
Objective
This study compares the performance of L-PRF and a new activated plasma albumin gel, Alb-PRF.
Materials and Methods
In a controlled, split-mouth study involving ten volunteers, twenty extracted molars were treated with either Alb-PRF (Group 1) or L-PRF (Group 2). Post-extraction, pain, trismus (jaw muscle spasm), infection presence, and swelling were evaluated after one and seven days using the Visual Analogue Scale (VAS) for pain, a trismus measurement method, and Gabka and Matsumura's swelling analysis method. Infection presence was based on any detected suppuration. The concentrations of different analytes in the surgical sites were also examined. The data were statistically analyzed with significance defined at p < 0.05 (t-test).
Results
No significant difference was noted between the groups for pain and trismus, but Alb-PRF showed a significant reduction in swelling on day seven. Interleukin-1 beta (IL-1b) was significantly different between groups. The Alb-PRF group showed lower levels of proinflammatory cytokines (GM-CSF, IL-1b, IL-6, IFNy, IL-8, IL-15, RANTES, and MIP-1a) after seven days, with only higher expressions of MIP-1b, IL-1b, and MCP-1 found in the L-PRF group.
Conclusion
Differences were observed in the release of analytes between L-PRF and Alb-PRF, with Alb-PRF significantly reducing edema after seven days.
Clinical Relevance:
In the first clinical trial using denatured albumin combined with PRF, the results showed that Alb-PRF had better outcomes in reducing swelling and improving post-operative recovery compared to L-PRF. This makes it a promising alternative for dental procedures that require invasive methods.
Bottom-up Construction and Screening of Algae-bacteria Consortia for Bioremediation: A Case Study on Volatile Organic Compounds
Authors: Cai Zongting , Karunakaran Esther , Pandhal Jagroop 
Published: August 2023

Abstract
Background
Microbial communities have been used as important biological tools for a variety of purposes associated with agriculture, the food industry and human health. Artificial engineering of microbial communities is an emerging field of research motivated by finding stable and efficient microbial systems. However, successful designing of microbial communities not only underlies profound understanding of microbial activities but also requires efficient approaches to piece together the known microbial traits to give rise to more complex systems. This study demonstrated the bottom-up integration of environmentally isolated phototrophic microalgae and chemotrophic bacteria as artificial consortia to bio-degrade selected volatile organic compounds (VOCs).
Result
A high throughput screening method based on 96-well plate format was developed for discovering consortia with bioremediation potential. Screened exemplar consortia were verified for VOCs degradation performance, among which certain robust consortia achieved 90.7%, 92.15% and near 100% removal (7-day) of benzene, toluene, and phenol, respectively, with initial concentrations of 100 mg/L. VOCs degradation by consortia were mainly attributed to certain bacteria including Rhodococcus erythropolis, and Cupriavidus metallidurans, and directly contributed to the growth of microalgae Coelastrella terrestris (R = 0.81, P < 0.001).
Conclusion
This work revealed the potential of converting VOCs waste into algal biomass by algae-bacteria consortia constructed through a bottom-up approach. The screening method enables rapid shortlisting of consortia combinatorial scenarios without prior knowledge about the individual strains or the need for interpreting complex microbial interactions.
EcoFireX: An Integrated IoT Solution for Forest Fire Detection
Authors: Garg Pankaj , M Ananya , Khan Saquib Ameer 
Published: August 2023

Abstract
Forest fires have been a long-standing concern in India, as they have a devastating impact on the environment, wildlife, and natural resources. According to the Forest Survey of India (FSI), about 54% [1] of India's woods are subject to sporadic fires. Many factors, such as natural causes like lightning or human-made factors like negligence, accidents, or even arson, can lead to these fires. Recent events, like the Bandipur forest fire in Karnataka, show that forest fires can have serious repercussions. The ecosystem was severely harmed by the fire, which burned for five days and destroyed about 15,443.27 acres of forest area[2]. Seven persons perished in the fire, which also presented a threat to human life. According to wildlife officials, most of the harm was done to tiny animals and reptiles. The tragedy emphasizes the value of early discovery and preventative measures to limit larger-scale damage. To address this concern, an IoT-based fire detector system is proposed in this paper, which employs various sensors such as DHT sensor, flame sensor, and MQ135 sensor, along with an alarming system. The sensors are connected to the Arduino UNO microcontroller, which collects data and calculates the intensity of the fire using a proposed formula. If the intensity exceeds a predefined threshold, an alerting mechanism is activated, and the data is transmitted to the cloud for analysis using graphical widgets and graphs. The suggested approach offers a number of benefits, including real-time monitoring, early detection, and prompt mitigation of forest fire damage. The method also offers insightful information about how forest fires alter the ecology, which is helpful for managing and conserving forests. The importance of IoT-based solutions in tackling the issue of forest fires is highlighted throughout this paper, and it also underlines the demand for proactive steps to safeguard the environment and natural resources.