bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical behavior for coal under true triaxial loading test connecting the effect of excavation- and mining-induced disturbances
Authors: Gao Mingzhong , Zhou Xuemin , Wang Xuan , Xie Jing , Wang Chen , Zhang Qi , Lv Heqiang , Guo Chenchen 
Published: December 2022

Abstract
Mining of underground resources is generally accompanied by frequent geological disasters. To understand the mechanical behavior of a stope, the stress conditions of the surrounding rocks after ventilation shaft excavation and the abutment stresses of the top coal mining layout were analyzed. In situ uniaxial stress monitoring tests were performed to understand field abutment pressure evolution, and the variation of stress concentration factor was studied, using a case of Tongxin Mine 8309 mining face of the TongMei Group, China. The loading model of coal rock under excavation- and mining-induced disturbances was proposed, and the stress path and experimental method were designed to investigate the high excavation damaged zone (HDZ), excavation damaged zone (EDZ), and undisturbed zone (UZ). The mechanical characteristics of the coal rock in different zones under site disturbance were obtained. The results indicated that the strengths of the UZ, EDZ, and HDZ samples declined gradually. The maximum principal strains of the HDZ and EDZ sample are 2.30 times and 2.21 times that of the UZ sample at the peak stress, respectively. The intermediate principal strains of the HDZ and EDZ samples are 0.91 and 0.88 times that of the UZ sample, respectively. The volume of the UZ sample continuously expanded, whereas the volumes of the EDZ and HDZ samples expanded when the peak stress was reached. The shear bands presented in all three samples resulted in failure. The stress path used in the laboratory with mining-induced stress throughout the stope could well reproduce in situ mining process, which is of significance for safe and efficient mining of deep resources.
Sustainability Factors of Building Information Modeling (BIM) implementing for Successful Construction Project Managemet Life Cycle in Indonesia
Authors: Latupeirissa Josefine Ernestine , Arrang Hermin 
Published: December 2022

Abstract
Building Information Modeling (BIM) is an important asset in construction projects from conceptual planning, pre-construction to operation stage. While many construction projects in developed countries are gradually implementing BIM, the development of this technology in developing countries is still lagging behind. Some research results state that the application of BIM for certain uses can improve the performance of construction projects, but in Indonesia its use is still very less. Therefore, the purpose of this study is to analyze the factors what can answer the challenges in the sustainability of BIM implementation in construction projects in Indonesia for success in its life cycle.. Data were obtained from 44 respondents who answered the questionnaire questions, are owners, supervisory consultants, and contractors representing construction parties in Indonesia. Empirical analysis using multiple linear regression states that there are five factors which, if sustainably support the application of BIM, will affect the success of construction project management in its life cycle. The ranking of five factors based on the results of the analysis is Understanding and Awareness of the importance of BIM; Establishment of BIM standards, codes, rules, and regulations; Competencies and Skills; Commitment and Consistency; and Monitoring and Evaluation. The development of BIM has resulted in new work processes and new ways to interact in a construction project throughout its life cycle.
Development of the Cardiovascular Assessment Screening Program (CASP) to improve the uptake of clinical practice guidelines by health care providers in Canada: Results of the integration of qualitative study findings for intervention development in a mixed methods study.
Authors: Bruneau Jill , Parsons Karen , Moralejo Donna , Donovan Catherine 
Published: December 2022

Abstract
Background
There is inconsistent utilisation of clinical practice guidelines (CPGs) for cardiovascular disease (CVD) screening and management by healthcare professionals to identify CVD risk factors early and to intervene using current recommendations. This manuscript reports on the results of the integration of the qualitative study findings of a mixed methods study that led to the development of the Cardiovascular Assessment Screening Program (CASP).
Methods
Focus groups (5) and interviews (10) were conducted in rural and urban settings in one Canadian province with target health professionals, managers in health care organizations, and the public to obtain different perspectives to inform the CASP intervention. Three focus groups were held with nurse practitioners and two with members of the public; individual interviews were conducted with target groups as well. Application of the Theoretical Domains Framework (TDF) provided a comprehensive approach to determine the main factors influencing clinician behaviour, to assess the implementation process, and to support intervention design. Behaviour change techniques, modes of delivery, and intervention components were selected for the development of the CASP.
Results
Themes identified such lack of knowledge about comprehensive screening, ambiguity around responsibility for screening, lack of time and commitment to screening were addressed in the components of the CASP intervention that were developed, including a website, education module, decision tools, and a toolkit.
Conclusion
CASP is a theory-informed intervention developed through the integration of the findings from the focus groups and interviews with selected TDF domains, behaviour change techniques, and modes of delivery available in the local context that may be a useful approach for knowledge translation of evidence into practice.
Intrinsic decoherence dynamics and dense coding in dipolar spin system
Authors: Khedif Youssef , Rajendran Muthuganesan 
Published: December 2022

Abstract
The quantum decoherence is an ineluctable process when a quantum system interacts with its surrounding environment. Milburn’s dynamical master equation, as a modified shape of the Schrödinger equation, is typically used to study the effects decoherence even without intervention of environment. We studied the temporal evolution of non-local correlations in a dipolar-coupled spin system under the influence of intrinsic decoherence. Primarily, the generation in correlations of Einstein–Podolsky–Rosen steering, measurement-induced non-locality (MIN) and entanglement in an uncorrelated initial system state were studied. Also, the effect of the intrinsic decoherence on the quality of the dense coding capacity dynamics for the dipolar-coupled spin system was examined. Our results highlight that the initial system’s role in defining the quantum correlations’ robustness, and we also brought out the impacts of system’s parameters on the non-local correlations and the efficiency of dense coding process
Detection of surgical instruments based on Gaussian kernel
Authors: Zhang Hongren , Wang Shengsheng 
Published: December 2022

Abstract
In minimally invasive laparoscopic surgery,it is of practical significance to quickly locate the location and category information of surgical instruments.It can remind medical personnel of irreversible injury caused to patients due to leaving surgical instruments after the operation.In this paper,Gaussian kernel is introduced into each ground truth,which is conducive to making full use of label information to allocate positive and negative samples and improve the accuracy of location and classification.Then, we introduce SIoU Loss and Harmonic Loss function into total loss.The former uses relative coordinates to make the network converge more quickly,and the latter solves the problem of asynchronous optimization of the two branches of classification and regression.Our experiment proves that the strategy based on Gaussian kernel sample allocation is very effective on a pubic data set m2cai16-tool-locations,displaying our method possesses conspicuous accuracy of classification and regression than other work.
A multi-model analysis of post-Glasgow climate action and feasibility gap
Authors: de Ven Dirk-Jan van , Mittal shivika , Gambhir Ajay , Doukas Haris , Giarola Sara , Hawkes Adam , Koasidis Konstantinos , Koberle Alexandre , Lamboll Robin , McJeon Haewon , Perdana Sigit , Peters Glen , Rogelj Joeri , Sognnaes Ida , Vielle Marc , Nikas Alexandros 
Published: December 2022

AbstractThe COP26 Glasgow process resulted in many countries strengthening their 2030 emissions reduction targets and announcing net-zero pledges for 2050–2070. We use four diverse integrated assessment models (IAMs) to assess CO2emission trajectories in the near- and long-term based on national policies and pledges, combined with a non-CO2infilling model and a simple climate model to assess the temperature implications of such trajectories. Critically, we also consider the feasibility of national long-term pledges towards net-zero, to understand where the challenges to achieving them could lie. Whilst near-term pledges alone lead to warming above 2°C, the addition of long-term pledges leads to emissions trajectories compatible with a well-below 2°C future, across all four IAMs. However, whilst IAM heterogeneity translates to diverse decarbonisation pathways towards long-term targets, all modelled pathways indicate several feasibility concerns, relating to the cost of mitigation, as well as to rates and scales of deployed technologies and measures.
Comprehensive Evaluation of the effects of Time-of-flight Technique on Regional Brain PET using Hybrid PET/MRI
Authors: Wimalarathne DDN , Sun Xun , Liu Fang , Gai Yongkang , Hu Fan , Lan Xiaoli , Ruan Weiwei 
Published: December 2022

Abstract
Background
The purpose of this study was to evaluate the effects of time-of-flight (TOF) reconstruction on regional brain positron emission tomography (PET) obtained from hybrid PET/magnetic resonance imaging (PET/MRI). Patients (n = 34) who underwent 18F-FDG PET/MRI brain imaging were retrospectively included in this study. The PET list mode data were reconstructed with and without a TOF reconstruction algorithm. Regional brain volumes of interest (VOIs, 18 regions) were segmented and their standardized uptake values (SUVs) were measured. Standard formulas were applied to measure contrast, signal to noise ratio (SNR), and percentage relative average difference of SUVs (%RAD-SUVs). The results were compared using paired t-tests.
Results
In all the VOIs, the SUVmax was significantly higher with TOF reconstruction than without it. The %RAD-SUVmax was greater than 3% for all VOIs in TOF compared to non-TOF reconstructions, and was largest in the caudate nuclei. The SUVmean values in 14/18 VOIs were significantly higher with TOF reconstruction, although the %RAD-SUVmean values were comparably smaller than the %RAD-SUVmax. The highest %RAD-SUVmean between TOF and non-TOF reconstruction was again in the caudate nuclei. Contrast and SNR were higher with TOF reconstruction in 12/17 and 9/17 VOIs, respectively. Although the differences were small, they almost showed statistical significance (p < 0.05). In the caudate nuclei, the percentage difference in SNR was nearly 50%. However, in the PA, SN, CoC, WM and CM, contrast was higher with non-TOF reconstruction, and SNR was higher in regions adjoining occipital lobe and nucleus accumbens.
Conclusions
With the TOF-technique, the SUVmax in the segmented VOIs was higher compared with non-TOF reconstruction, unlike SUVmean, which showed varying differences across the different VOIs according to the use of TOF and non-TOF reconstruction. The temporal lobe and caudate nucleus achieved considerably higher SNR with the TOF technique, but not the other regions. Overall, we recommend that these quantitative differences among VOIs are considered when diagnosing Alzheimer’s disease and Parkinson’s disease.
Control strategies for examining the effects of the Omicron variant on heart attacks by utilizing real data
Authors: Evirgen Fırat , Yavuz Mehmet , Ozdemir Necati 
Published: December 2022

Abstract
An investigation of the correlation between heart attack and the Omicron variant is presented in this paper using a novel mathematical model. In the model, in order to control both the number of infected individuals and the number of those with the Omicron variant, two control parameters are meant to be adjusted. Additionally, the model’s positivity and boundedness are investigated. The reproduction number (R0) is assessed, and the control parameter sensitivity analysis is carried out in accordance with the reproduction number. Using the least squares curve fitting method, which is one of the most popular methods of estimating the model’s parameters, the values of the model’s parameters are determined. The model’s total 16 parameter values are estimated utilizing real COVID-19 cases from Tu¨rkiye. Lastly, numerical simulations are presented for the purpose of analyzing the system’s dynamical behavior. Numerical simulations have shown that the suggested controls are successful in reducing the number of infected and Omicron population.
The Hematopoietic Effect of Red and White Peels Pomegranate Extract on Phenylhydrazine-Induced Anemia in Rats and LCMS/ MS investigations of new substances
Authors: Soliman Nabil Abbas , Mansour Sherif Wajih , Ammar Mohammed Ahmed , Hassan Noura Ahmed , Hamed Rehab , Ammar Mohamed Ahmed Mohamed 
Published: December 2022

Abstract
Pomegranates, Punica granatum L., are said to provide various health advantages, according to accumulating research. The haematological effects of pomegranate white and red peel extracts on male rats with phenylhydrazine (PHZ)-induced anaemia are highlighted in this article. The phytoconstituents of the ethanolic extract of pomegranate white and red peels were identified using LCMS/MS analysis.We employed 48 male albino,. Six experimental groups of eight animals each were created at random from the total number of animals. Rats in group 1(C) served as the control, group, Group 2 (C-WPP), rats received WPP, Group 3 (C-RPP): rats received RPP extract, Group 4 (PHZ): rats received an i.p. injection of PHZ in saline in a dose of 50 mg/kg/day, Group 5 (PHZ-WPP) and, Group 6 (PHZ-RPP). Peripheral blood smears were measurements of iron level, G6PD, LDH, MDA, GPX, SOD, ALT, ALP, and AST were analyzed. By using LCMS/MS studies, 252 compounds were discovered; 163 of these compounds were tentatively recognized for the first time in the white and/or red peels of pomegranates, and 7 of these compounds were tentatively characterized for the first time in nature. Pretreatment with the white and/or red peels of pomegranates, however, greatly reduced this toxicity by modifying the organ's biomarkers, enhancing the tissue's redox status, and bringing serum biochemical parameters virtually back to normal levels. The ethanolic extract of red and white pomegranate peels displays a potent defense against free radicals and oxidative stress.
Cooked pork-derived exosome nanovesicles mediate metabolic disorder—microRNA could be the culprit
Authors: Shen Linyuan , Ma Jianfeng , Yang Yiting , Liao Tianci , Wang Jinyong , Chen Lei , Zhang Shunhua , Zhao Ye , Niu Lili , Hao Xiaoxia , Jiang Anan , Li Xuewei , Gan Mailin , Zhu Li 
Published: December 2022

Abstract
In this study, we extracted exosomes from cooked meat by ultra-high-speed centrifugation. Exosome had an average of size of 70.29 nm. Flow cytometry demonstrated that the positive rate of exosomal surface marker CD63 and CD81 were 84.5% and 95.9%. microRNA sequencing revealed the exosomal microRNA were differences among porcine muscle, fat and liver. The mice plasma levels of miR-1, miR-133a-3p, miR-206 and miR-99a were increase with varying degrees after drinking water with exosomes. GTT and ITT suggest that abnormal glucose metabolism and insulin resistance in mice. Moreover, the lipid droplets were significant increased in the liver were also observed. Transcriptome analysis identified 446 differentially expressed genes in liver. Functional enrichment analysis found that metabolic pathway were most significantly enriched. microRNA may function as a critical regulator involved in the metabolic disorder of mice. This study suggests that the exosomal microRNAs from meat products has the potential to adversely affect health.
Clinical outcomes in heart failure patients with and without atrial fibrillation receiving sodium-glucose cotransporter-2 inhibitor
Authors: Hu Wei-Syun , lin cheng 
Published: December 2022

Abstract
Purpose
We report a retrospective analysis of a nationwide health database to study the association between sodium-glucose cotransporter-2 inhibitor (SGLT2I) use and the incidence of adverse clinical outcomes among heart failure (HF) patients with and without atrial fibrillation (AF) stratified by CHA2DS2–VASc score.
Methods
The outcome of this study was on the development of major adverse cardiac and cerebrovascular events (MACCE). By dividing the number of MACCE events by the total person-years, the incidence rate was calculated. The hazard ratio (HR) was estimated by the Cox proportional hazard model. 95% confidence interval (CI) was also presented to show the risk of MACCE for HF patients with and without AF taking SGLT2I.
Results
SGLT2I users had a lower risk of acute myocardial infraction (adjusted HR = 0.83; 95% CI = 0.74, 0.92), CV death (adjusted HR = 0.47; 95% CI = 0.42, 0.51) and all-cause death (adjusted HR = 0.39; 95% CI = 0.37, 0.41). Considering HF patients without AF and SGLT2I as the reference group, HF patients without AF but with SGLT2I had a reduced risk of adverse outcomes of 0.48 (95%CI = 0.45, 0.50) and HF patients with AF and SGLT2I had the decreased hazard ratio of 0.55 (95%CI = 0.50, 0.61). The adjusted HR of adverse outcomes for HF patients with CHA2DS2–VASc score less than 2 and SGLT2I with and without AF relative to HF patients without AF nor SGLT2I were 0.53 (95% CI = 0.41, 0.67) and 0.24 (95% CI = 0.12, 0.47), respectively. Compared to HF patients with no history of AF and SGLT2I, if patients additionally with SGLT2I and CHA2DS2–VASc score ≥ 2, the risk of the adverse outcome reduces to 0.48 (95% CI = 0.45, 0.50); if patients additionally with AF and CHA2DS2–VASc score ≥ 2, the risk of the adverse outcome reduces to 0.88 (95% CI = 0.80, 0.97); if patients additionally with AF, SGLT2I and CHA2DS2–VASc score ≥ 2, the risk of the adverse outcome reduces to 0.53 (95% CI = 0.47, 0.55).
Conclusion
We concluded that SGLT2I have a protective effect in HF patients, and the risk reduction is greater with a score of < 2 and without AF.
Permittivity Boosting by Induced Strain from Local Doping in Titanates from First Principles
Authors: Kutana Alex , Shimano Yuho , Asahi Ryoji 
Published: December 2022

Abstract
We examine the effect of isovalent substitutions and co-doping on the ionic dielectric constant of paraelectric titanates (perovskite, Ruddlesden-Popper phases, and rutile) using density functional perturbation theory. Substitutions increase the ionic dielectric constant of the prototype structures, and new dynamically stable structures with εion~102-104 are reported and analyzed. The boosting of ionic permittivity is attributed to local defect-induced strain, and maximum Ti-O bond length is proposed as a descriptor. The Ti-O phonon mode that is responsible for the large dielectric constant can be tuned by a local strain and symmetry lowering from substitutions. Our findings help explain the recently observed colossal permittivity in co-doped rutile, attributing its intrinsic permittivity boosting solely to the lattice polarization mechanism, without the need to invoke other mechanisms. Finally, we identify new perovskite- and rutile-based systems that can potentially display colossal permittivity.
Exploiting the generative design potential to select the best conceptual design of an aerospace component to be produced by additive manufacturing
Authors: PILAGATTI ADRIANO NICOLA , Atzeni Eleonora , Salmi Alessandro 
Published: December 2022

Abstract
Since the advent of Industry 4.0, the manufacturing sector has had to face new challenges, which have required the development of new skills and innovative tools. This scenario includes innovative production processes such as Additive Manufacturing (AM), a technology capable of producing a component layer-by-layer directly from the 3D model, without the need of specific tools. Generative Design (GD) may represent an opportunity to maximize the potential of AM techniques. GD is based on parametric computer-aided design (CAD) tools capable of generating multiple optimized outputs, among which the designer could select the most promising solution. This paper presents a general methodology for evaluating the GD outputs in the conceptual phase of design, to select the best possible solution through a series of criteria at several levels. The evaluation method is deployed in an aerospace field case study. The procedure demonstrates the benefits of adopting GD synergistically with AM in the early stages of product development. This indicates that the developed methodology could reduce the number of iterations during the design process, and the result is a decrease in the overall time spent on the project, avoiding problems during the final stages of the design.
A Converse of Tchebyshev Inequality
Authors: Bucur Ileana 
Published: December 2022

Abstract
Looking at Harnack inequlity in Harmonic Spaces we complete the well known Tchebyshev inequality for positive integrable function with an oposite one.
2020 MSC:
Primary: 42A10, 41A65
Secondary: 54D30, 54D40, 60135
Effects of low-protein diet and feed restriction on mRNA expression of cationic amino acid transporters in porcine skeletal muscles
Authors: Ishida Aiko , Ashihara Akane , Nakashima Kazuki , Katsumata Masaya 
Published: December 2022

Abstract
We investigated the effects of a low-protein diet and feed restriction on the mRNA expression of cationic amino acid transporters (CATs) in porcine skeletal muscles, specifically, the longissimus dorsi (LD), rhomboideus (RH), and biceps femoris (BF) muscles. Eighteen piglets were randomly divided into three groups: a control (CP21%, ad libitum), low-protein diet (LP, CP16%, ad libitum), and feed-restricted diet (FR, CP21%, 76% feed intake of control pigs) groups. The expression levels of CAT-1 in the LD and BF muscles of LP pigs were higher than that of control pigs, whereas that of FR pigs did not differ from that of control pigs. The CAT-2A expression levels in the RH muscle of FR pigs was higher than that of control pigs. The concentrations of free lysine in all muscles of LP and FR pigs were lower than that of control pigs. The concentrations of free arginine in the LD and RH muscles of LP and FR pigs were lower than that of control pigs. To examine the factors involved in the regulation of CATs mRNA expression, we evaluated the in vitro effects of lysine, arginine, insulin-like growth factor-1, and dexamethasone on the expression of CAT-1, CAT-2A, and CAT-2B in C2C12 myotubes. CAT-1 expression levels increased in response to lysine and/or arginine deprivation. We show, for the first time, that CAT-1 and CAT-2 expression levels in skeletal muscles differ in response to dietary treatments and CAT-1 expression in skeletal muscles appears to increase in response to low free lysine concentrations.