bluuebunny/crossref_metadata_2025_split huggingface dataset:
To investigate the relationship between H. pylori infection and non-alcoholic fatty liver disease: a cross-sectional study
Authors: Li Jingyao , Li Xiangyun , Hao Jing 
Published: August 2023

Abstract
Objective: The correlation between Helicobacter pylori infection and non alcoholic fatty liver disease (NAFLD) has become a hot topic, and we conducted relevant investigations and summaries from clinical research.
Method: A total of 1200 outpatient and inpatient subjects were included. Helicobacter pylori infection was detected through gastroscopy rapid urease detection and 14C urea breath test (14C-UBT), and NAFLD was diagnosed through ultrasound examination.
Result: The prevalence of NAFLD in males was higher (P<0.01). The BMI, ALT, AST, AKP, UA, and UREA values of the NAFLD group were higher than those of the non NAFLD group (P<0.01). In univariate analysis, Helicobacter pylori infection was associated with a higher risk of NAFLD (OR=1.1, 95% CI=1.1-1.2, P<0.001, Model 1). After adjusting for age and gender (Model 2), the OR of NAFLD remained significant (OR=1.1, 95% CI=1.0-1.1, P<0.004). However, when further adjustments were made for BMI, SBP, and DBP (Model 3), as well as FPG, HbA1c, TG, TC, HDL-C, LDL-C, and Scr (Model 4), Helicobacter pylori infection was no longer associated with the risk of NAFLD (OR=0.9, 95% CI=0.9-1.0, P=0.097).
Conclusion: Relevant data indicates that Helicobacter pylori infection is not independently associated with the risk of NAFLD.
Mechanistic approach for removal of cyanide and phenol from coke- oven wastewater by green nano zero-valent iron mediated adsorption-biodegradation treatment system
Authors: Tyagi Megha , Jagadevan Sheeja , Kukkar Deepak 
Published: August 2023

Abstract
Cyanide and phenol represents the most hazardous combination of wastewater due to their synergistic toxicity. The present study investigated the efficacy of a hybrid treatment based on green nanoscale zero-valent iron (nZVI) mediated adsorption followed by biodegradation for removal of cyanide and phenol from synthetic coke-oven wastewater. The nZVI particles were characterized using FESEM, EDX, DLS, XRD and FTIR. Response surface methodology based optimization showed 99.88% removal of cyanide (50mg/L), thereby facilitating subsequent biodegradation of phenol. Adsorption process was found to follow Langmuir isotherm model (maximum adsorption capacity = 178.8mg/g) and pseudo-second order kinetic model, suggesting cyanide adsorption is controlled by chemical ion exchange mechanism. Furthermore, biodegradation of the residual phenol was attempted by isolated bacterial strain (Pseudomonas BSPS_PHE2) that was found to be capable of 98.98% removal of phenol (1000mg/L). The metabolic pathway of phenol biodegradation was elucidated from GC-MS analysis. This study has for the first time presented a green technology based adsorbent for cyanide removal that not only provides high adsorption capacity, but also improves the biodegradability of recalcitrant coke-oven wastewater.
Research on the coordinated development of provincial urbanization and carbon emission efficiency of construction industry in China
Authors: NIU Jianguang , XIN Boxiong , XIN Boyu , WANG Mingqi 
Published: August 2023

Abstract
Background
The policy of energy conservation and emission reduction restricts the economic and social development of all countries in the world, and the impact on China, which has a low degree of urbanization, is more serious. As one of the industries contributing to China's urbanization process and carbon emissions, it is of great practical significance to explore the coordination relationship between urbanization and carbon emission efficiency of construction industry ( CEECI ) for realizing the goal of "double carbon", promoting urbanization construction and solving the problem of "green development". Taking 30 provinces in China as the research target area, the double weighted summation method and the undesired output super-efficiency Windows-EBM-DEA model are used to measure the provincial urbanization level and CEECI respectively. Then the coupling coordination degree model of relative development index is introduced and spatial autocorrelation model, the spatial and temporal differentiation characteristics of the coordination level of urbanization and CEECI are analyzed.
Results
The results are shown as follows: from 2010 to 2021, China's urbanization level has steadily increased, but the growth rate has gradually narrowed; the overall development of CEECI is ‘N’ type, and the inflection points appear in 2013 and 2018 respectively. There are significant differences in the level of urbanization and CEECI between provinces. The coordination level of China's urbanization and CEECI is transitioning from the running-in stage to the coordination stage. The spatial distribution pattern is in a state of dynamic change, and the overall distribution pattern is ‘high in the east, low in the middle and western regions’. The difference between provinces is obviously weakened, 63.33% of the provinces are in a high running-in level, and 93.33% of the provinces show the characteristics of efficiency lag. The spatial distribution of coordination level between provincial urbanization and CEECI is positive, and the spatial dependence of coordination level between the two systems is gradually weakened, and two convergence types of high and low are formed.
Conclusions
This study believes that China should put forward corresponding targeted coordination and optimization paths from the perspective of low-carbon development of urbanization and construction industry according to the coordination type between urbanization and CEECI, so as to achieve high-quality development of China 's economy and society.
The hidden microbiome of hospital infection surveillance testing: biomarkers of health outcomes in MRSA and VRE colonization
Authors: Hamidi Bashir , Steed Lisa L. , Curry Scott R. , Salgado Cassandra D. , Alekseyenko Alexander V. 
Published: August 2023

Abstract
Background Hospital-acquired infections present a major concern for healthcare systems in the U.S. and worldwide. Drug-resistant infections result in increased costs and prolonged hospital stays. Methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) are responsible for many drug-resistant infections in the U.S. We undertook two parallel studies aimed to investigate the differences in the microbial communities of individuals colonized with MRSA (or VRE) as compared to their respective non-colonized counterparts matched for age, sex, race, ethnicity, unit of admission, and diagnostic-related group, when available.Results The VRE study showed considerably more Enterococcus genus communities in the VRE colonized samples. Our findings for both MRSA and VRE studies suggest a strong association between 16S rRNA gene alpha diversity, beta diversity, and colonization status. When we assessed the colonized microbial communities in isolation, the differences disappeared, suggesting that the colonized microbial communities drove the change. Isolating Staphylococcus, we saw significant differences expressed across colonization in specific sequence variants.Conclusions The differences seen in the microbial communities from MRSA (or VRE) colonized samples as compared to non-colonized match-pairs are driven by the isolated communities of the Staphylococcus (or Enterococcus) genus, the removal of which results in the disappearance of any differences in the diversity observed across the match-pairs.
Unraveling the Causal Nexus: Exploring the Relationship between Gut Microbiota and Aortic Dissection
Authors: Li Dongrui , Li Fan , Jin Jingyu , Yang Yang , Tong Qian 
Published: August 2023

Abstract
Background: Aortic dissection(AD) is a severe cardiovascular disorder, and its underlying pathogenic mechanisms remain subject to debate. Numerous studies have corroborated the significant impact of gut microbiota on cardiovascular diseases. However, the causal relationship between gut microbiota and AD remains unclear.
Methods: In this study, we leveraged summary data from gut microbiota and AD genome-wide association studies (GWAS). We employed a two-sample Mendelian randomization (MR) design to elucidate the causal relationship between gut microbiota and AD. Additionally, sensitivity analyses were conducted using Cochran's Q test, leave-one-out analysis, and MR-Egger intercept test.
Results: MR analysis genetically predicted Lachnospiraceae ND3007 group was associated with an increased risk of AD (OR (95%CI): 2.104(1.629 ~ 2.178), adjusted P value: <0.001). Moreover, we identified 11 gut microbial taxa, including Blautia and Collinsella, that exhibited potential causal relationships with AD.
Conclusion: The present study establishes a causal relationship between gut microbiota and AD, thereby offering novel avenues for research into the pathogenesis and prevention of AD.
Reclaiming Monomers from Waste Polyester Textiles with 4d Metal-Doped ZnO and g-C 3 N 4 Nanocomposites
Authors: Anbarasu Murugan , Preeyanghaa Mani , Vinitha Viswanathan , Neppolian Bernaurdshaw , Sivamurugan Vajiravelu 
Published: August 2023

Abstract
Our investigation focuses on breaking down 100% PET polyester (PES) threads using bimetallic ZnO and g-C3N4 nanocomposites. To do this, we used the sol-gel method to create tin, silver, and cadmium-doped bimetallic ZnO nanoparticles and impregnated them on g-CN. We analyzed the nanocomposites using XRD, FT-IR, UV-visible, and SEM-EDX and found that they had a wurtzite crystalline pattern and a lower optical bandgap than the bimetallic ZnO nanoparticles. Next, we carried out aminolytic and glycolytic depolymerization of the waste polyester threads under microwave irradiation. This resulted in the production of two monomers: bis(2-hydroxyethyl)terephthalamide (BHETA) and bis(2-hydroxyethyl)terephthalate (BHET) from aminolysis and glycolysis, respectively. We confirmed the monomers using FT-IR, 1H & 13C NMR, and MS techniques. Under optimized reaction conditions, we were able to completely depolymerize both blue and green-dyed waste polyester threads and yield colorless monomers. This process has the potential to recycle waste polyester threads and produce valuable monomers that could be used to make virgin polymers.
Correlation study between the fatty infiltration rate and some lumbar diseases
Authors: Liu Sijia , Pan Mingqi , Pan Junnan 
Published: August 2023

Abstract
Background
The aim of this study was to measuring the data of the cross-sectional area(CSA)of normal people and some patients with lumbar diseases,and to explore the correlation of the change of paravertebral muscles CSA, the fat infiltration rate༈FIR) of paravertebral muscles and some lumbar diseases.
Methods
Their lumbar magnetic resonance imaging(MRI )was obtained from L3 to L5, and the upper endplate, intervertebral disc and lower endplate were three planes respectively, a total of 9 planes. Image J software was used to measure the area of left and right erector spinae, left and right psoas major muscles, left and right multifidus muscles and fat infiltration area. A total of three people were measured at the same time, each site was measured 3 times, and the average paravertebral muscle area and the average fat infiltration were calculated. The patients were investigated by questionnaire and tested.
Result
The FIR of the normal female paraspinal muscle was significantly higher than that of the normal male group (P < 0.05). In the three experimental groups: the FIR of the male multifidus muscle was higher than that of the psoas major muscle and the erector spinae muscle (P < 0.05);There was a linear positive correlation between the FIR of paraspinal muscles and age.Compared with normal people, patients with LDH and LBP had significantly increased paravertebral muscle FIR (P < 0.05).In the LDH group and LBP group: There was a linear positive correlation between VAS score, ODI score and FIR. Liking sweets and high-fat foods, exercising, hyperlipidemia, calcium deficiency and age were correlated with the FIR of paravertebral muscle(P < 0.05).
Conclusion
The total FIR in female in the normal group was higher than that in male. With the increase of age, the paravertebral muscle FIR also increased. The FIR of multifidus muscle of some patients with lumbar diseases was greater than that of psoas major muscle and erector spinae muscle; The total FIR was higher than that in normal group. The higher the pain, the higher the FIR. Liking sweets foods, liking exercise, and so on were related to the FIR.
HEalth and QUality of life in Oncological patients (Hequobip study): call to definitive guidelines for the improvement of long-term patients’ quality of life
Authors: Paola Villa , Clara Pafundi Pia , Francesca Turchiano , Dona Amar Inbal , Ilaria Pasqua , E. Nappi Rossella , Chiara Cassani , Angelamaria Becorpi , Monica Pinto , Stefano Magno , Ida Paris , Giorgia Garganese , Giovanni Scambia 
Published: August 2023

Abstract
Purpose. There is no current consensus in the counseling about diagnostic and therapeutic guidelines for bone disease in breast cancer (BC) patients. Hence, we aimed to study the current state of clinical and therapeutic approach to bone disease in an Italian BC population treated with adjuvant and/or hormone therapy, alongside overall Quality of Life (QoL).Methods. This observational multicenter longitudinal ambispective study involved four Italian clinical units recruiting patients receiving either Aromatase Inhibitors (AI) or Tamoxifen. Data on BC, bone health, osteoporosis screening, anti-resorptive therapy types and timing were collected. We focused on bone health status and therapeutic approach adopted and adhesion rate to the different indications identified by the scientific board: ESCEO-2017 (I); ASCO-2019 (II); Note-79-AIFA-Determination (III).Results. 555 women (mean age 54.2 ± 9.5 years) were finally enrolled, most in iatrogenic menopause (62.2%). Half of patients (50.3%) had osteopenia, whilst only 18.4% osteoporosis. DXA exam was performed in 52.6% of cases within the first 24 months after BCtherapy. At enrollment, only 7% of patients received anti-resorptive therapy, whilst after they reached 48.3% of women, mainly Denosumab. Followed indications were mainly “type-III” (46.7%) vs. 16.6% “type-I” and “4.1% “type-II”. Patients showed a moderate impairment of global QoL referred to anxiety and depression, alongside an impairment in mobility and pain.Conclusion. Although clinicians indicate bone screening, they more often prescribe antiresorptive therapy without considering precise guidelines. This study focused on the need for a potential standardized approach to long-term management, which may lead to an improved Qol in BC patients.Trial registration number. Clinicaltrial.gov: NCT04055805.
Predicting Tipping Points of Forest Cover Resilience as a Response to Precipitation – a Step Towards Understanding Climate Resilience
Authors: Das Pulakesh , Behera Mukunda Dev , Roy PS , Barik Saroj Kanta 
Published: August 2023

Abstract
Although the impact of climate change is slow, the transformation in climate regime can lead to an ecosystem structure change from one stable to another stable state through intermediate bistable or metastable conditions. Therefore, the state transition or resilience in nature can never be sharp or be quantified with a single tipping point across the scales; rather, it should be understood through a tipping point range (tipping zone) across hysteresis loop(s). This study uses a satellite data-derived actual forest cover state map of India and high-resolution long-term average precipitation data to predict various tipping point range hysteresis for different forest cover states such as forest, scrubland, grassland and vegetation-less. The forest and vegetation-less states could have one-way, while scrubland and grassland have two-way transition probabilities with a probable shift in precipitation regime. In the dry conditions, the precipitation tipping zone predicted between 154 mm and 452 mm for the forest to scrubland transitions, while the reverse transition (from scrubland to forest) could occur in wet conditions between 1080 mm and 1400 mm. Similarly, the transition between scrubland and grassland, between grassland and vegetation-less state, may occur in contrasting dry and wet conditions, creating a hysteresis loop. The study indicates that the reversal of state change requires differential energy spent during the onward transition. The study proposes a novel characteristic curve demonstrating the varied precipitation tipping points/ zones, precipitation overlaps and distribution of the various life forms, and co-existence zones. The characteristic curve offers valuable inputs to explain life form transition and demarcate regions where forest enrichment and degradation may occur due to climate regime shifts. Such a spatially explicit database could provide vital inputs for planning forest cover restoration and management activities and mitigate the climate change impact.
Nest-building using place cells for spatial navigation in an artificial neural network
Authors: Portegys Thomas 
Published: August 2023

Abstract
An animal behavior problem is presented in the form of a nest-building task that involves two cooperating birds, a male and female. The female builds a nest into which she lays an egg. The male's job is to forage in a forest for food for both himself and the female. In addition, the male must fetch stones from a nearby desert for the female to use as nesting material. The task is completed when the nest is built and an egg is laid in it. A goal-seeking neural network and a recurrent neural network were trained and tested with little success. The goal-seeking network was then enhanced with “place cells”, allowing the birds to spatially navigate the world, building the nest while keeping themselves fed. Place cells are neurons in the hippocampus that map space.
A comparison between 2D DeepCFD, 2D CFD simulations and experimental 2D/2C PIV measurements of NACA 0012 10° AoA and NACA 6412 0° AoA airfoils
Authors: Berger Manuel , Raffeiner Patrik , Senfter Thomas , Pillei Martin 
Published: August 2023

Abstract
In this study, fluid flow predictions using three different methods were compared: DeepCFD, an artificial intelligence code; computational fluid dynamics (CFD) with Ansys Fluent and openFoam; and two-dimensional, two-component particle image velocimetry (PIV) measurements. The airfoils under investigation were the NACA 0012 with a 10° angle of attack and the NACA 6412 with a 0° angle of attack. To train DeepCFD, 763, 2585, and 6283 openFoam simulations based on primitives were utilized. The investigation was conducted at a free stream velocity of 10 m/s and a Reynolds number of 82000. Results show that once the DeepCFD network is trained, prediction times are negligible, enabling real-time optimization of airfoils. The mean absolute error between CFD and DeepCFD, with 6283 trained primitives, for NACA 0012 predictions resulted in velocity components Ux = 1.77 m/s, Uy = 0.73 m/s, and static pressure p = 8.97 Pa. For NACA 6412, the corresponding MSE are Ux = 0.81 m/s, Uy = 0.59 m/s, and p = 7.5 Pa. Qualitative agreement was observed between PIV measurements, DeepCFD, and CFD. Results are promising that artificial intelligence has the potential for real-time fluid flow optimization of NACA airfoils in the future.
Coffee consumption and risk of lung cancer: a systematic review and meta- analysis of prospective cohort studies
Authors: Jabbari Maedeh , Salari-Moghaddam Asma , Larijani Bagher , Esmaillzadeh Ahmad 
Published: August 2023

Abstract
Background
Studies on the association between coffee consumption and risk of lung cancer have been conflicting.
Objective
The aim of this study was to systematically review the current evidence on the association between coffee consumption and risk of lung cancer and to quantify this association by performing a meta-analysis.
Methods
A comprehensive systematic search was performed on online databases including PubMed/Medline, Scopus, and ISI Web of Science up to June 2023 investigating the association between coffee consumption and risk of lung cancer. All prospective cohort studies reporting odds ratios (ORs), rate or risk ratios (RRs), or hazard ratios (HRs) and 95% confidence intervals (CIs) in this context were included. The overall effect size was calculated using the random-effects model and statistical between-studies heterogeneity was examined using Cochrane’s Q test and I2.
Results
A total of 12 prospective cohort studies were included in this systematic review and meta-analysis. We found a significant positive association between coffee consumption and risk of lung cancer (RR: 1.39; 95% CI: 1.12, 1.73). This association remained significant when we excluded a pooled analysis paper and included 12 cohort studies (RR: 1.29; 95% CI: 1.12, 1.50). A sensitivity analysis showed that no particular study had a significant influence on the summary effects. In addition, we observed no proof of significant publication bias using Egger’s test (P = 0.49).
Conclusion
We found a significant positive association between coffee consumption and risk of lung cancer.
Implementation of a Novel Adaptive Coding using VLSI Architecture for Data Compression in Image Processing
Authors: G Kiranmaye , B Sridhar 
Published: August 2023

Abstract

: Image Compression is one of the emerging techniques of a Digital System for storing and retrieving of digital information. The main challenge in implementing Image Compression is to maintain the accuracy of the retrieved data. As the encoding techniques used for data compression are computationally intensive, new hardware architectures are required so that the processing of image consumes less space with increase in computation speed, reduction in area and power consumption. In this paper we address this problem and developed an Adaptive coding technique and implemented using VLSI architecture. An adaptive compression model using dynamic code allocation based on probability of occurrence is proposed. Here the Entropy code has a maximum search overhead of 6 match per 4-bit pattern. Wherein a maximum of 5-bit search is observed in proposed approach. This reduces a search overhead of (N⨉m)-1 iterations. Here N is the number of unique patterns and m is the block size. The proposed architecture is developed using VHDL language and implemented using Xilinx Aldec’s FPGA. The adaptive coding approach attains a compression of 35% more as compared to the entropy coding. The implementation on to targeted Xilinx FPGA results in power minimization and area coverage reduction. The speed of operation is observed to be improved by 135MHz. The validation of proposed approaches is made on image data to observe the coding accuracy. The mean square error of the output image is reduced by 35% with an increase in the signal to noise ratio of the output image.