bluuebunny/crossref_metadata_2025_split huggingface dataset:
Causal association between oral disease and chronic obstructive pulmonary disease: A Mendelian Randomization study
Authors: Wu Fanye , Cao Mingzhe , Zeng Minghui , Wang Liqing , Chen Zejun , Li Zhengran , Sun Yuxin , Zhang Ziran , Wang Zijin , Wu Tong , Meng Fanke 
Published: July 2023

Abstract
Background
The association between oral diseases and chronic obstructive pulmonary disease (COPD) has been revealed by many epidemiological studies in clinical aspects. Therefore, we elucidate genetic relationships using Mendelian randomization (MR) in this study.
Method
We utilized MR analysis with summary datasets from a genome-wide association study (GWAS) to investigate the causal relationship between COPD and 12 oral traits such as periodontitis and denture and ensured that there were no confounders like smoking, and every F-value was greater than 10. Inverse variance weighting (IVW) was applied with MR analysis as the primary outcome. Additionally, the horizontal pleiotropy was assessed by MR-PRESSO methods, and the heterogeneity was detected using Cochran's Q statistics.
Result
This study found a significant causal effect of implant dentures on COPD by univariate and multivariate MR (OR = 1.077, 95%CI = 1.044 ~ 1.111, p_adjust = 6.58E-05). Although univariate MR showed that excessive attrition of teeth had a significant causal effect on later COPD (OR = 1.061, 95%CI = 1.020 ~ 1.104, p_adjust = 0.037), this causal relationship was not found in multivariate MR. This study found no significant effect of periodontitis on COPD (p > 0.05), either acute or chronic.
Conclusion
Our MR Analysis findings suggested that implant dentures and excessive attrition of teeth significantly promotes the risk of COPD and elder COPD, respectively. However, the evidence for a causal relationship between periodontitis and COPD is still insufficient and previous studies may have been affected by confounding factors.
Tribological study of Ni-Cr-5Al2O3 thermal spray coating: A comparison of post processing techniques
Authors: Garg Mayank , Grewal Harpreet S. , Arora Harpreet S. 
Published: July 2023

Abstract
Engineering materials are known to show degradation in terms of tribo-corrosion characteristics in marine environment. The concurrent increase in erosion and corrosion resistance can make them more appealing for structural applications. The thermal spray coatings are typically used to mitigate the degradation of structural components. Although, the microstructure of as-sprayed coating indicates inconsistency in the form of distinct splats and elemental segregation. Furnace annealing, microwave processing and stationary friction processing (SFP) are performed to improve the non-homogeneous microstructure of the thermal spray coating. SFP has several attractive properties to refine the grain structure and reducing the defects density on the surface. Therefore, SFP has been explored as a surface modification technique for thermal spray coating with an aim to enhance the performance of the processed coating. Slurry erosion and erosion corrosion tests are conducted on as-sprayed and processed coatings at normal and oblique impingement angle. Erosion rate of SFPed sample is comparatively lower than that of the as-sprayed, furnace annealed and microwave processed samples in both slurry erosion and erosion corrosion. Furthermore, the SFPed coating indicated least corrosion rate as compare to furnace annealed, microwave coating and as-sprayed coating.
Reversible data hiding in encrypted images with multi-prediction and adaptive Huffman encoding
Authors: Ren Hua , Yue Zhen 
Published: July 2023

Abstract
With the rapid development of network technology and the massive accumulation of user data, huge amounts of data are being rapidly generated and shared on the network, while the problems of unauthorized data access and misuse continue to emerge. Reversible data hiding in encrypted images (RDHEI) is a privacy-preserving method that embeds protected data into encrypted content and accurately extracts the embedded data without affecting the original content. However, the amount of embedded protected information has always been one of the major constraints on the performance and application of RDHEI. Currently, the main approaches to improve the net embedding capacity of RDHEI are to increase the total embedding capacity or to reduce the length of the auxiliary information to be embedded. In this paper, we propose a novel RDHEI scheme based on multi-prediction and adaptive Huffman encoding. To increase the total embedding capacity, we use the MED + GAP predictor to generate the label map data of non-reference pixels before image encryption. Then, an adaptive Huffman coding is designed to compress the generated labels to reduce the embedding length of the auxiliary information used for extraction and recovery. Experimental results show that with MED + GAP predictor and adaptive Huffman coding, the proposed method achieves a higher embedding capacity than other recent methods while ensuring security and reversibility.
Molecularly imprinted polymers with ionic liquid as the functional monomer for selective solid-phase extraction of gastrodin
Authors: Zhao Congcong , Li Jin , Zuo Zhenyu 
Published: July 2023

Abstract
Gastrodia elata is a famous traditional herb. It is a challenging task to efficiently separate the active ingredient Gastrodin (p-hydroxymethylbenzene-β-D-glucopyranoside) from gastrodia elata by simple procedure. According to the results of computer molecular simulation & UV-vis spectroscopy, water-soluble 1-vinyl-3-tetradecylimidazole bromide([C14VIM+] [Br−]) was selected as the best ionic liquid functional monomer compared with methacrylic acid(MAA), acrylic acid(AA), 3-(2-carboxyethyl)-1-vinylimidazolium bromide ionic liquid (imidazole propionate, [COOHpvimBr]) and dehydroabietic acid [2-(acryloyloxy)ethyl] ester (DAAEE). The force between [C14VIM+] [Br−] and GAS (with multiple hydroxyl groups) is stronger than other monomers with more polar groups. The molecular imprinted polymers (MIPs) and non- molecular imprinted polymers (NIPs) with high selectivity to gastrodin(GAS) were synthesized utilizing ([C14VIM+] [Br−]) as a novel functional monomer. In addition, surface molecular imprinted polymers (SMIPs) and surface non- molecular imprinted polymers(SNIPs) supported on silica gel were also prepared. These polymers were characterized by infrared spectrum, scanning electron microscope, specific surface area tester and thermosgravimetric analyser(TGA). The adsorption performance of the MIPs and NIPs was investigated by adsorption kinetics experiment and static adsorption experiment. By Molecular Imprinting-SPE extraction(HPLC), the content of gastrodin in eluent (70% ethanol) was significantly increased compared with it in plant extract, which is better than that of SMIPs-SPE. The recoveries of the spiked samples for the GAS ranged from 97.75-103.43% with relative standard deviation values lower than 2.88%. The molecular imprinted polymer was a potential separation material for gastrodin.
Caspase-1 - mediated pyroptosis plays an important role in neuroinflammation induced by Pseudorabies Virus
Authors: tian ang , guan shuaiyin , Li zhen , ye jing , chen huanchun , cao shengbo , song yunfeng 
Published: July 2023

Abstract
Pseudorabies virus (PRV) is one of the harmful diseases in the pig industry. The virus is highly infectious and pathogenic, pigs, mice, rabbits and most mammals can be infected and cause severe neurological symptoms. Nevertheless, the underlying pathogenesis related to PRV remains unclear, especially in nerve infection. In order to find out the cause of neurological symptoms caused by PRV, in this study, N2a cells were infected with PRV (MOI = 0.5), Western blot and qRT-PCR methods were used to detect the protein and mRNA level factors of pyroptosis. PI staining was used to detect the integrity of cell membranes. Results showed that mRNA levels of Caspase-1, GSDMD, NLRP3, ASC, IL-18, and IL-1β were significantly increased. The activation of Caspase-1 protein caused the cleavage and release of the N-terminal end of GSDMD protein. PI staining and the increase of LDH release demonstrated the incompleteness of the cell membrane. This study demonstrates that the neurological symptoms caused by PRV infection are neuroinflammatory caused by pyroptosis and that Caspase-1/GSDMD is a key factor in triggering pyroptosis. This study provides new ideas to study the molecular mechanisms of neurological symptoms caused by PRV infection and giving a new avenue for the treatment of PRV.
Effects of micronutrients added to low-fishmeal diet on muscle composition, flesh quality, and antioxidant capacity of Largemouth bass
Authors: Li Haoming , Chen Liutong , Zhao Tengfei , Gong Shunlian , Liu Baowei , Yang Huijun , Xie Shiwei 
Published: July 2023

Abstract
This study was to evaluate the impacts of micronutrients added to low-fishmeal diet on the flesh quality and immune response of largemouth bass, Micropterus salmoides. Two diets (FM48 and FM32) were formulated with 48% and 32% fishmeal, respectively, micronutrients (Zn, Mn, Se, VB12 and niacin) were added in FM32 to formulated the LFM diet. Largemouth bass with an initial weight of 12.65 ± 0.04 g were fed with three diets for eight weeks. The results showed that the feed coefficient rate of the shrimp in LFM group was significantly lower than that of the other two groups. There were no significant differences in muscle moisture, crude protein and crude lipids content among the three groups. The activity of muscle superoxide dismutase in the LFM group and FM48 group was significantly higher than that in the FM32 group. Zn content was highest in the muscles of FM48 group, and Se was higher in the muscles of the LFM group than that in the FM48 and FM32 groups. The results of histological analysis showed that the density of muscle fibers was improved after the addition of micronutrients. RT-qPCR results suggested that the expression of ribosomal protein, mammalian target of rapamycin, and eukaryotic translation initiation factor 4E-binding protein1 in the FM48 group were significantly higher than those in the FM32 group and LFM group. The expression of myogenic differentiation 1 was significantly upregulated in the LFM group, which was significantly higher than that in the FM48 and FM32 groups. The expression of tumor necrosis factorαwas significantly upregulated in the shrimp of LFM group compared with those in other groups. These results showed that the addition of micro-nutrients in low fishmeal diet did not affect the growth of largemouth bass, while increase the contents of Mn and Se in the muscle, enhanced the antioxidant capacity, promoted the proliferation of muscle fibers of largemouth bass.
Intracerebral Transplantation of Autologous Mesenchymal Stem Cells Improves Functional Recovery in a Rat Model of Chronic Ischemic Stroke
Authors: Myers Max I. , Hines Kevin J , Gray Andrew , Rosenwasser Robert , Iacovitti Lorraine 
Published: July 2023

Abstract
While treatments exist for the acute phase of stroke, there are limited options for patients with chronic infarcts and long-term disability. Allogenic mesenchymal stem cells (alloMSCs) show promise for the treatment of stroke soon after ischemic injury. There is, however, no information on the use of a) autologous MSCs (autoMSCs), b) delivered via intracerebral transplantation c) in rats with a chronic infarct. In this study, rats underwent middle cerebral artery occlusion (MCAO) to induce stroke followed by bone marrow aspiration and MSC expansion in a closed bioreactor. Four weeks later, brain MRI was obtained and autoMSCs (1x106, 2.5x106 or 5x106; n = 6 each) were stereotactically injected into the peri-infarct and compared to controls (MCAO only; MCAO + PBS; n = 6–9). Behavior was assessed using the modified neurological severity score (mNSS). For comparison, an additional cohort of MCAO rats were implanted with 2.5x106 alloMSCs generated from a healthy rat. At all doses of autoMSCs, sensorimotor function significantly improved by over 64% 60 days later while alloMSCs improved only 29.2%, similar to that in PBS control animals. Quantum dot labeled auto/alloMSCs were found exclusively at the implantation site throughout the post-transplantation period with no tumor formation on MRI or Ki67 staining in engrafted MSCs. Small differences in stroke volume and no differences in corpus callosum width were observed after MSC treatment. Stroke-induced glial reactivity in the peri-infarct was long-lasting and unabated by auto/alloMSC transplantation. These studies suggest that intracerebral transplantation of autoMSCs, but not alloMSCs, may be a more promising treatment in chronic stroke.
Parametric study and optimum selection of gantry girder profile using excel programme
Authors: Patil Shital S , Jadhav H. S 
Published: July 2023

Abstract
Overhead travelling cranes are used to lift the heavy equipment and to carry out movement of crane a long, heavy piece of iron or steel is used known as girder. In this paper investigation is made to suggest the best gantry girder profile by considering various parameters like, gantry span, crane capacity, with & without tandem operation, and various gantry girder profile. For achieving accuracy in vertical bending moment, analysis is carried out for moving load’s having span 5m and 7m with crane capacity 30t and 50t using staad pro. For dead load and live load IS 875–1987 (part 1) and IS 875–1987 (part2) are referred. As per industrial practice profile are chosen which includes, rolled steel ‘I’ with rolled steel ‘C’ at top, symmetrical plate girder, unsymmetrical plate girder, symmetrical plate girder with rolled steel ‘C’ at top, and unsymmetrical plate girder with rolled steel ‘C’ at top. The design is carried out as per IS 800–1984 and optimum selection of gantry profile considering the per meter weight of steel.
Assessment of Drinking Water Quality : A Case Study in Barishal District, Bangladesh.
Authors: MAMUN MD. AL , SAZZAD GOLAM , MIAH RAKIB , RAFID MD. IMTIAZ FARUK 
Published: July 2023

Abstract
Bangladesh is a densely populated country in South-East Asia. Increasing population along with increasing development activities lead to exploitation and pollution of water supplies readily available to us. Therefore, water quality indicators are imposed as a global problem to determine its suitability for individual uses as well as to establish major strategies for optimal use of water resources. Failure to ensure safe drinking water with efficient purification systems will leave communities vulnerable to waterborne outbreaks with harmful health conditions. The main motive of this study is to ensure the safety of drinking water quality in Barishal district. The physic-chemical parameters, i.e. pH, turbidity, total dissolved solids (TDS), electric conductivity(EC), iron content, arsenic, chloride, hardness, dissolved oxygen(DO) and biochemical oxygen demand (BOD) for four upazila’s were tested and compared with the Bangladesh standards along with WHO guidelines. The determined value of these tests were within the allowable range according to WHO guidelines and Bangladesh standards. This study assesses the current status of drinking water quality in Barishal district with emphasis on effective purification, disinfection and systematic monitoring services to control water pollution.
Repairability-Based Design of Concrete Structures
Authors: Opabola Eyitayo , Elwood Kenneth 
Published: July 2023

Abstract
Recent earthquakes demonstrated that modern reinforced concrete (RC) buildings (i.e., post-1970s) can satisfy the code-intended life safety performance objectives. However, the accumulated damage in these modern buildings raised concerns about their performance in any future events; contributing to widespread demolition and long-term closure of damaged buildings. The economic and environmental impacts associated with the demolition and long-term closure of modern buildings led to societal demands for improved design procedures to limit damage and shorten recovery time after earthquakes. To address societal demands, this study proposes a repairability-based design approach for structural systems. The proposed approach aims to ensure that, under design-level earthquakes, damaged structural components have sufficient residual capacity to withstand future events without requiring safety-critical repair (the adopted definition of repairability); thereby ensuring the structural systems are safe for re-occupancy and can achieve functional recovery. Firstly, the repairability limit state for RC components is defined using an extensive database of past tests on RC components. Subsequently, component deformation limits are proposed for RC beams, columns, and walls. Furthermore, nonlinear response history and recovery (using the ATC-138 methodology) analyses of four archetype frame buildings, designed per New Zealand standards to different beam deformation limits, are used to assess the seismic performance and capability of the buildings to satisfy recovery-based performance objectives. By comparing the repairability fragility and functional recovery downtime estimates of the frame buildings for design-level events, it is concluded that it is feasible for the building code to target repairability in the design-basis earthquake in addition to collapse prevention in MCE.
Aceites esenciales al rescate en las prácticas agrícolas
Authors: Magallanes Vallejo Aurora Guadalupe , López Oyama Ana Bertha , Rodríguez González Eugenio 
Published: July 2023

Los plaguicidas se emplean en todo el mundo para garantizar la demanda de alimentos diarios y la protección de la salud humana, evitando la propagación de organismos transmisores de enfermedades. A pesar de sus propiedades beneficiosas, son perjudiciales para los seres vivos que se exponen diariamente a pequeñas cantidades de estas sustancias, ya sea por el consumo de alimentos contaminados o por la deficiente manipulación de los productos para el control de plagas utilizados en los hogares. Además, la exposición prolongada a estas sustancias se ha asociado a enfermedades crónicas y agudas, como el cáncer, enfermedades neurodegenerativas, respiratorias, reproductivas, trastornos en el desarrollo y trastornos metabólicos. En la actualidad, el desarrollo de plaguicidas menos tóxicos y biodegradables es un tema muy importante en todo el mundo. En este artículo se muestra el papel de la naturaleza química de los pesticidas y sus efectos debido al uso excesivo y prolongado. Alternativas como los aceites esenciales podrían reducir los efectos nocivos para el medio ambiente y la salud humana provocados por los pesticidas.
Construction Practitioners’ Awareness post Covid-19 in Developing Countries
Authors: Hakami Waled 
Published: July 2023

COVID-19 has drastically changed the way life works in many sectors, especially construction. This research aimed to analyse the awareness and practices of construction practitioners regarding the post-coronavirus situation in developing countries. A comprehensive literature review was conducted to study the effects of this pandemic on a global scale. Qualitative and quantitative methods were employed to create an accurate questionnaire for practitioners. During pilot studies, experts were consulted for their opinions, and pre-tests were done on small samples. The data was analysed using descriptive statistics to classify the results. The findings demonstrated that experience increases awareness of epidemic risks as well as how safety measures, regulations, and standards are often disregarded in developing countries and are affected by the community environment.
It is recommended to implement a new science of epidemic risk management.
Multi-input fuzzy inference system based model to predict the cutting temperature when milling AISI 1060 steel
Authors: ABDELKRIM Farid , ABDELKRIM Mourad , BELLOUFI Abderrahim , TAMPU Catalin , BOGDAN Chiriță , GHEORGHE Brabie 
Published: July 2023

The increase in the cutting temperature during milling has harmful effects which negatively affect the technical and economic machining characteristics such as: residual stresses, dimensions of machined parts and tools life. The nature of milling operations and the tool geometry make it difficult to predict or measure the temperature during the machining process, which is why great attention has been paid to measurement and prediction methodologies of cutting temperature during milling. In this work, a new intelligent identification technique of the cutting temperature based on the fuzzy set theory has been proposed to replace the strategy based on the operator qualification. This technique uses a fuzzy multiple input inference system to determine the influence of the cutting parameters on the cutting temperature. The fuzzy modeling is based on an experimental database resulting from the non-contact measurement of cutting temperature using an infrared camera with an emissivity setting adapted to the material. The results of the fuzzy system show that the fuzzy model is able to specify results providing a very good correlation between the experimental data and those predicted. The average error of the model was approximately 2.242%. The parameters used for the validation of the model were different from the data used for the construction of the fuzzy rules. The results showed that the most important parameter on the cutting temperature is depth of cut. The results obtained in this paper show that the developed model can be applied to predict the cutting temperature with precision during the milling process.
Hybird RNN based feature extraction for early prediction of CVDs using ECG Signals for type 2 diabetic patients
Authors: THANGARAJU Tamilselvan , Sharma Om Prakash 
Published: July 2023

Diabetes mellitus patients are at an increased risk of cardiovascular illness, and cardiovascular complications are the primary cause of morbidity. Diabetes is linked to both morbidity and mortality. Type-2 Diabetes causes a prothrombotic state that leads to acute coronary syndromes by causing endothelial damage and lowering antiaggregant factors like nitric oxide and prostacyclin, as well as increasing thrombotic substances like fibrinogen and factor VII, and suppressing fibrinolysis with factors like plasminogen activator inhibitors. The accurate identification and diagnosis of CVD (Cardio Vascular Disease) is dependent on the correct detection of the ECG signal from the heart. The ECG signal is extremely important in the early detection of cardiac problems. The ECG signal of diabetic individuals offers vital information about the heart and is one of the most important diagnostic tools used by doctors to identify cardiovascular disorders. The time gap between two consecutive QRS complexes appearing contiguous in an ECG is known as heart rate. The most appealing feature is that HRV (Heart Rate Variability) measurement is non-invasive and repeatable. A number of machine learning techniques have been proposed for the non-invasive automated identification of diabetes. This paper discusses innovative methods for analyzing electrocardiogram (ECG) signals in order to extract important diagnostic information. The ECG signal is first treated using a dual tree complex wavelet transform (DTCWT-SG) with threshold method. Subsequently, the features are extracted from detailed coefficients of DTCWT-SG filter, Eigen vectors by minimum normalization method and Rajan Transform. Main key features are extracted using these three methods. These features are classified and analyzed by different machine learning classifiers. The proposed approach was tested on DICARDIA, MIT-BIH and Physionet database and the performance analysis shows that the hybrid Recurrent Neural Network (RNN) (LSTM+GRU Gated Recurrent Units) achieves better prediction of 98.8% compared to state of art techniques.