bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring BIM-based queries for retrieving cultural heritage semantic data
Authors: Suhari Ketut Tomy , Saptari Asep Yusup , Abidin Hasanuddin Z. , Gunawan Putu Harry , Meilano Irwan , Hernandi Andri , Widyastuti Ratri 
Published: January 2024

Abstract
Building Information Modeling (BIM) technology has been widely adopted in the construction industry for managing building information. However, its application in cultural heritage conservation has yet to be fully explored. This study aims to demonstrate the potential of using BIM technology in managing cultural heritage tourism assets through a case study of the traditional village of Penglipuran in Bali, Indonesia. Four queries were developed using Industry Foundation Classes (IFC) data model to retrieve information on cultural, legal spaces, physical boundaries, and traditional house elements. The results show that BIM technology can effectively assist in managing cultural heritage tourism assets by providing detailed IFC information. Moreover, results also highlight the potential of BIM technology in preserving and promoting cultural heritage tourism assets. This research provides a comprehensive understanding of BIM technology's potential in cultural heritage conservation and its application in tourism.
Automated offset detection approaches: Case study in IGS Repro2 and 3
Authors: Zhang Jin , Lian LiZhen , Huang ChengLi , Xu CanCan , Zhang SiMeng 
Published: January 2024

Abstract

Due to their high false positive detection rates, traditional automated offset detections on GNSS station coordinate time series still cannot fully replace manual detections in practical applications and need to be improved. This work proposes preliminary and enhanced automated offset detection approaches for IGS Repro2 and Repro3 datasets. Their manually detected offset recordings in ITRF2014 and ITRF2020 are used as evaluation criteria. In the preliminary approaches, stochastic models based on covariance matrix, white noise model, and white noise plus flicker noise model of both univariate and multivariate are studied. Although a somewhat “good” performance is achieved, the preliminary automated detections still lead to many false positive detections. Thus, based on the preliminary approaches, and ancillary data, an enhanced detection approach is proposed. Enhanced detections significantly reduce 56%~80% false positive detections compared to preliminary approaches. As a result, for Repro3, the optimal overall performance is attained with true positive, false positive, and false negative rates (TP, FP, FN) of (0.57, 0.25, 0.18), along with a detection rate of 75%; for Repro2, the rates are (0.58, 0.20, 0.22), accompanied by a 73% detection rate. According to its “good” performance mentioned above, the current enhanced approach may serve as a supplementary or reference to manual detection, although still not being perfect. Furthermore, twenty manually detected unknown offsets in ITRF2020 are found to correspond to some known events (thirteen earthquakes and seven equipment changes); thirty-four automated detections that correspond to known events but are not collected in ITRF2020 are manually checked as offsets (fourteen earthquakes and twenty equipment changes).
Cytokine Expression Profiles in Children and Adolescents with Tic Disorders.
Authors: Kutuk Ozgur , Kutuk Meryem Ozlem , Tufan Ali Evren , Kilicaslan Fethiye , Gokcen Cem , Aksu Gulen Guler , Yektas Cigdem , Kandemir Hasan , Celik Fatma , Mutluer Tuba , Buber Ahmet , Karadag Mehmet , Coban Nurdan , Coskun Seyma , Hangul Zehra , Altintas Ebru , Acikbas Ufuk , Giray Asli , Aka Yeliz , Basturk Bilkay 
Published: January 2024

Abstract
The etiology of tic disorders (TDs) is not precisely known, although several lines of evidence suggest involvement of the immune system in pathogenesis. Here, we aimed to determine the expression levels of pro-inflammatory and anti-inflammatory cytokines in children with TD and compare them with those of healthy controls. Furthermore, we also evaluated their association with clinical variables in the TD group. Within the study period, 88 children with tic disorders and 111 healthy control children were enrolled. Most children with tic disorders were diagnosed with Tourette’s disorder (n = 47, 53.4%) or persistent motor tic disorder (n = 39, 44.3%), while the remainder (n = 2, 2.3%) were diagnosed with persistent vocal tic disorder. We found that children with tic disorders had significantly elevated levels of IL-1β, TNF-α, IL-6 and IL-4 expression, while healthy control cases presented with increased levels of IL-17. Our findings provide a molecular landscape of cytokine expression in children with TD, which may suggest a proinflammatory state not affected by the presence of comorbidity and symptom severity. Delineating the contribution of alterations in the immune system to the pathogenesis of tic disorders will have critical implications for diagnosis and therapeutic interventions.
A fixed-stress type splitting method for nonlinear poroelasticity
Authors: Kraus Johannes , Kumar Kundan , Lymberly Maria , Radu Florin Adrian 
Published: January 2024

Abstract

In this paper we consider a nonlinear poroelasticity model that describes the quasi-static mechanical behaviour of a fluid-saturated porous medium whose permeability depends on the divergence of the displacement. Such nonlinear models are typically used to study biological structures like tissues, organs, cartilage and bones, which are known for a nonlinear dependence of their permeability/hydraulic conductivity on solid dilation.
We formulate (extend to the present situation) one of the most popular split- ting scheme, namely the fixed-stress split method for the iterative solution of the coupled problem. The method is proven to converge linearly for sufficiently small time steps under standard assumptions. The error contraction factor then is strictly less than one, independent of the Lam ́e parameters, Biot and stor- age coefficients if the hydraulic conductivity is a strictly positive, bounded and Lipschitz-continuous function.
Obtaining cashew bark extract and its application for removal of metallic species in aqueous matrix
Authors: Borges Thaíse da Silva , Queiroz Luciano Matos , Ferreira Sérgio Luís Costa , José Nádia Mamede 
Published: January 2024

Abstract

This work presents the preparation and characterization of the powder from the bark of the cashew tree Anacardium occidentale L. and the aqueous extract obtained from the bark of the cashew tree and studies the use of this extract for removing metals in acid solution. The experiments were carried out on a laboratory scale using contaminated water with a concentration of 4.0 mol/L of the metals Ba, Cd, Cr, Cu, Mn, Pb, Sn, Zn and different volumes of the extract obtained from the bark of the cashew tree. The coagulation process between the extract and the metal species led to a decrease in the metal concentration in solution due to precipitation. Removal of up to 25% was obtained for all analyzed metals. Using the principles of green chemistry, the process was evaluated with a very good green approach.
A Low-Cost, Open-Source-based Optical Surgical Navigation System Using Stereoscopic Vision
Authors: Tsui Darin , Ramos Kirsten , Melentyev Capalina , Rajan Ananya , Tam Matthew , Jo Mitsuhiro , Ahadian Farshad , Talke Frank E. 
Published: January 2024

Abstract

Computer-assisted surgical navigation systems have gained popularity in surgical procedures that demand high amounts of precision. These systems aim to track the real-time positioning of surgical instruments in relation to anatomical structures. Typically, state-of-the-art methods involve tracking reflective 3D marker spheres affixed to both surgical instruments and patient anatomies with infrared cameras. However, these setups are expensive and financially impractical for small healthcare facilities. This study suggests that a fully optical navigation approach utilizing low-cost, off-the-shelf parts may become a viable alternative. We develop a stereoscopic camera setup, costing around $120, to track and monitor the translational movement of open-source based fiducial markers on a positioning platform. We evaluate the camera setup based on its reliability and accuracy. Using the optimal set of parameters, we were able to produce a root mean square error of 2 mm. These results demonstrate the feasibility of real-time, cost-effective surgical navigation using off-the-shelf optical cameras.
A Levitated Control Attention for Named Entity Recognition
Authors: Huang Rong , Chen YanPing , Huang Ruizhang 
Published: January 2024

Abstract
Controlled attention is a mechanism developed in cognitive neuroscience. It has been successfully applied to support named entity recognition, where the start and end boundaries of a possible named entity are marked by two specific tokens to indicate its position in a sentence. Then, it is fed into a deep network for classification. The entity boundary markers enable a deep neural network to be aware of entity boundaries and to build the contextual dependency of a sentence relevant to a possible named entity. The problem is that every possible named entity should be evaluated independently. This leads to very high computational complexity and cannot construct the semantic dependency between different named entities. In this paper, a levitated control attention mechanism is presented for named entity recognition. The levitated control attention is composed of a separable matrix, which enables the weighting of discriminative contextual features relevant to each specific entity. All possible named entities are together fed into a deep network for one-pass classification, which can establish the semantic dependency between contextual features and possible named entities. The levitated control attention is evaluated on four public datasets. Experiments show that it not only considerably reduces the computational complexity but also improves performance.
Aerobic exercise-induced up-regulation of HIF-1α ameliorates heart failure by regulating MCT1 and MPC1 expression
Authors: Xu Longfei , Yang Miaomiao , Wei Aili , Wei Zilin , Qin Yingkai , Wang Kun , Li Bin , Chen Kang , Liu Chen , Li Chao , Wang Tianhui 
Published: January 2024

Abstract
Background
The terminal stage of ischemic heart disease develops into heart failure (HF), which is characterized by hypoxia and metabolic disturbances in cardiomyocytes. Based on high sensitivity to hypoxia, the failing heart activates cellular metabolic adaptation to balance energy demand by accumulating hypoxia-inducible factor-1α (HIF-1α). Furthermore, monocarboxylic acid transporter protein 1 (MCT1) and mitochondrial pyruvate carrier 1 (MPC1), as key nodes of metabolic adaptation, affect metabolic homeostasis in the failing rat heart. Aerobic exercise training has been demonstrated to be beneficial in slowing the progression of HF by elevating HIF-1α and MCT1 levels, whereas the modulatory effects of exercise on MCT1 and MPC1 in HF (hypoxia) remain elusive. This research aimed to investigate the effects of exercise associated with MCT1 and MPC1 on HF under hypoxia.
Methods
Rats were randomly divided into four groups: sham sedentary (SHAM), HF sedentary (HF), HF short-term exercise trained (HF-E1) and HF long-term exercise trained (HF-E2). The left anterior descending branch of the coronary artery was ligated to induce HF in rats, and the delaying effect of exercise on HF in rats was evaluated by ventricular ultrasound (ejection fraction, short-axis shortening rate), HE, and Masson staining, etc. The effects of HIF-1α on metabolism, MCT1 and MPC1 proteins expression in hypoxic H9c2 cells were examined using HIF-1α agonist/inhibitor and lentiviral transfection.
Results
Our results indicate the presence of severe pathological remodelling (as evidenced by deep myocardial fibrosis, increased infarct size and abnormal hypertrophy of the myocardium, etc.) and reduced cardiac function in the failing hearts of rats in the HF group compared to the SHAM group. Treadmill exercise training ameliorated myocardial infarction (MI)-induced cardiac pathological remodelling and improved cardiac function in HF exercise group rats, and significantly increased the expression of HIF-1α (p < 0.01), MCT1 (p < 0.05) and MPC1 (p < 0.05) proteins compared to HF group rats. In addition, pharmacological overexpression of HIF-1α significantly up-regulated the expression of MCT1 (p < 0.001) and MPC1 (p < 0.001) proteins in hypoxic H9c2 cells.
Conclusion
The data gathered in this study suggest that long-term aerobic exercise training as a non-pharmacological treatment may be effective in slowing down the disease process, improving the pathological phenotype and enhancing cardiac function by activating myocardial HIF-1α and up-regulating the expression of key proteins (MCT1 and MPC1) in HF rats.
Design and Development of robust OCR system for hand filled form in Office Automation
Authors: Agrawal Akanksha , Roy Pranab Singha , Rakesh Vineet Kumar , Samanta Tapas , Pal Sarbajit 
Published: January 2024

Abstract
Hand-filled forms are a ubiquitous means of information collection, yet their manual processing remains labor-intensive and error-prone. In this paper we proposed a novel approach to completely automate the processing of template based hand filled form and store the recognized data in central database. The proposed framework combines image processing techniques for form segmentation and a convolution neural network model, for accurate character recognition. By seamlessly integrating these components, the proposed approach streamlines the transition from handwritten content to digital data, reducing manual effort and potential errors.
Individual tree diameter growth models for natural secondary forest in Changbai Mountains
Authors: Zhang Hao , Lu Jun 
Published: January 2024

Abstract
In this paper we develop a serial distance-depended individual tree model for some species in natural forest which would provide prediction and characteristics for natural species. The data used to develop individual model for natural mixed forests were collected from 712 remeasured 10-year periodic permanent sample plots of in Baihe Forest Bureau of Changbai mountains, northeast China. Based on analysing relationship between diameter increment of individual trees with tree size, competitive status, and site condition and finding out the major independent variables, the growth models for individual trees of 15 species in the natural mixed forests were developed using stepwise regression method. The individual growth model developed in this study can reflect the tree increment of 15 species and be generally well suited for simulating tree and stand growth for natural mixed forests in Changbai Mountains. The research results showed that the natural logarithm of DBH (lnD) and square diameter (D2) were included in the predicting models of diameter increment for all 15 species. The diameter increment was directly proportional to tree diameter for each species. For the competitive indexes in growth model, the relative diameter (RD), canopy closure (P), and the ratio of diameter of subject tree with maximum diameter (DDM) were related to diameter increment and the stand density measures were not significantly influenced on diameter increment. As canopy closure (P) increase, tree increment decreases. The site conditions were performance less of factors in increment predictions in the model.
Investigation of the Effect of Calcitriol on Radiofrequency Radiation Exposed Breast Cancer Cell Lines
Authors: ELÇİ Mualla Pınar , FATSA Tuğba , ÖREN Sema , MİSER-SALİHOĞLU Ece , EŞMEKAYA Meriç Arda , AKAYDIN Sevgi 
Published: January 2024

Abstract
Radiofrequency (RF) fields have been classified as probable human carcinogens and non-thermal RF-radiation (RFR) can cause an increase in oxidative stress and inflammation in tissues. Vitamin D has been researched for many years for its anti-cancer and suppressive effects on cancer cell growth. In this study, we aimed to examine the effects of exposure to RF signals on cell viability, free radical formation, and related inflammation, and the restorative effect of vitamin D against this. For this purpose, MCF-7 and MDA-MB-231 cells were exposed to 2.1GHz W-CDMA-modulated RFR. The viability of cells was determined by MTT assay, and the percentage of apoptotic cells was determined by FITC-conjugated Annexin-V/PI assay. The expression levels of VDR, NF- κB, COX-2, and p53 genes were studied using Real-Time-PCR. ROS analysis was performed by flow cytometry. A statistically significant decrease in MCF-7 cell viability (p < 0.001) was observed with increasing doses of calcitriol compared to the control group, while no significant difference was observed in MDA-MB-231 cells (p > 0.05). As a result of ROS analysis, significant decreases in life values were observed for both cells due to calcitriol. A statistically significant increase in p53 expression was observed with increasing calcitriol dose in both cell lines. An increase in VDR, NF-kappa B, and COX2 expressions was also observed in MCF-7 cells. We observed that calcitriol administered after RF exposure caused an increase in apoptosis and mRNA expression of inflammation markers, a decrease in ROS levels, and an increase, and this can be evaluated in cancer treatment or prevention.
Fast Implementation of Extreme Learning Machine-based DirectRanker for Surrogate-assisted Evolutionary Algorithms
Authors: Harada Tomohiro 
Published: January 2024

Abstract

Surrogate-assisted evolutionary algorithms (SAEAs) have been widely used to solve computationally expensive optimization problems. The extreme learning machine-based DirectRanker (ELDR) is a single-layer feed-forward neural network surrogate model designed for SAEAs. ELDR estimates the superiority of two solutions with a high estimation accuracy, even in high-dimensional problems. However, ELDR requires a long computation time as the problem dimensionality and the number of hidden neurons increase, thus making it difficult to apply it to high-dimensional problems. A surrogate model should be computationally efficient and enable rapid fitness estimations. Therefore, this paper proposes a fast implementation technique, i.e., fast version ELDR (fELDR) that achieves mathematically equivalent learning results with low computational complexity. Additionally, this paper proposes a pointwise score function to render the prediction results reusable. The experimental results confirmed the effectiveness of fELDR when compared with the original ELDR. The learning results of the proposed fELDR were equivalent to those of the original ELDR while reducing the training time by up to 97\%, especially when using a large hidden layer on a high dimensionality problem. Moreover, due to the reusable prediction results, the computation time of the fELDR-assisted SAEA can be further decreased by 79.5\% when compared with that of the original ELDR-assisted SAEA. The reduced training time and reusable prediction results of fELDR render it feasible to apply ELDR to high-dimensional optimization problems and realize a high prediction accuracy with a large number of hidden neurons.
Multipath Effects Mitigation in Offshore Construction Platform GNSS-RTK Displacement Monitoring Using Parallel Temporal Convolution Network
Authors: Jiang Yiyang , Guo Cheng , Wang Jinfeng , Xu Rongqiao 
Published: January 2024

Abstract

Global Navigation Satellite System (GNSS), renowned for its high precision and automation, has shone brightly in deformation monitoring of offshore facilities and sea-cross bridges. However, GNSS antennas placed in these locations are often subject to signal interference from various reflective surfaces such as water, which significantly compromises observation accuracy and reliability. Synthesizing previous research, firstly we propose a method for constructing a multipath dataset. This involves detailed mapping of the boundaries of reflective areas in the airspace map, using three types of linear combinations of satellite observations within this area as the multipath dataset, and employing static solution residuals as multipath reference values. Subsequently, we have constructed and trained a corresponding parallel temporal convolution network to enable real-time prediction of multipath, thereby mitigating the impact of multipath on this observation. Through time-frequency domain analysis and correlation analysis, it has been demonstrated that the trained network can capture the main characteristics of multipath and suppress those components within the frequency band corresponding to the multipath, effectively mitigating the interference of multipath errors in observations.
Effect of Urea-High-Temperature Combined Treatment on the Dimensional Stability of Densified Fast-Growing Wood
Authors: Wang Zhichuang , Wei Rongjun , Wang Xuechun , Gao Jingjing , Wang Tinghuan , Yang Chen , Guo Jin , Wang Zhenyu , He Zhengbin , Yi Songlin 
Published: January 2024

Abstract
Due to the continuous depletion of timber resources and the increasing ecological awareness among people, large-scale fast-growing artificial forests have become a key solution to address the imbalance between timber supply and demand. In recent years, the problem of low density and mechanical strength of fast-growing timber has been addressed through timber densification. However, densified timber still faces issues such as high moisture absorption and poor dimensional stability. Urea molecules can expand the volume of the non-crystalline region of cellulose to protect the cell wall structure of timber from damage during the densification process. In this paper, an effective modification strategy was proposed to prepare lightweight high-strength wood through the synergistic effect of urea vacuum impregnation treatment and high temperature densification, which solved the problem of poor dimensional stability of densified wood. Research results indicate that when the concentration of urea solution is at 50%, the maximum weight gain of the timber samples reaches 17.76%. After densification treatment, the absolute dry density of the test samples increased by more than 0.031g/cm3. Timber treated with a 50% urea solution and processed at 170°C demonstrates good dimensional stability, with a radial swelling rate of only 0.79% under a relative humidity of 65%. Therefore, the joint modification of wood using urea and high-temperature treatment is an effective and environmentally friendly method, presenting broad prospects for development.
Thermodynamic formalism and anomalous transport in 1D semiclassical Bose-Hubbard chain
Authors: Marković Dragan , Čubrović Mihailo 
Published: January 2024

Abstract

We analyze the time-dependent free energy functionals of the semiclassical one-dimensional Bose-Hubbard chain. We first review the weakly chaotic dynamics and the consequent early-time anomalous diffusion in the system. The anomalous diffusion is robust, appears with strictly quantized coefficients, and persists even for very long chains (more than hundred sites), crossing over to normal diffusion at late times. We identify fast (angle) and slow (action) variables and thus consider annealed and quenched partition functions, corresponding to fixing the actions and integrating over the actions, respectively. We observe the leading quantum effects in the annealed free energy, whereas the quenched energy is undefined in the thermodynamic limit, signaling the absence of thermodynamic equilibrium in the quenched regime. But already the leading correction away from the quenched regime reproduces the annealed partition function exactly. This encapsulates the fact that in both slow- and fast-chaos regime both the anomalous and the normal diffusion can be seen (though at different times).