bluuebunny/crossref_metadata_2025_split huggingface dataset:
Energy Efficient Qos Aware Decentralized Blockchain Framework for Fog Computing
Authors: Gawas Mahadev , Govekar Sweta 
Published: March 2023

Abstract
With the rush from cloud offerings and pull from IoT, we envision that the brink of the network is changing from facts patron to information manufacturer as well as facts client. In this paper, we attempt to make a contribution to the concept of edge computing in IoT-enabled Blockchain. IoTenabled Blockchain frameworks slightly help simultaneous execution of a couple of applications and platform independence. These frameworks take advantage of Cloud assets for facts storage and regularly compel electricitylimited IoT devices to procedure the raw data. To lessen the management overhead, current frameworks apply centralized techniques that eventually degrade the QoS. They additionally confine the attention to few safety aspects which results in increase in the vulnerability of the incorporated surroundings. As a solution to those issues, we suggest a energy efficient and QoS-aware decentralized blockchain (EEQA-DBC) in fog computing. The proposed EEQA -DBC disposes the usage of a relied third party and removes the hassle of centralized blockchain. The proposed EEQA-DBC eliminates the need for consensus techniques by utilizing the trust evaluation concepts based on permissioned blockchain concepts to match the requirements of distributed architecture. This paper suggests the novel security evaluation authentication scheme and discusses how the scheme achieves security desires (of personal, integrity, and availability), and is able to triumph over eavesdropping, replay, and denial of service (DoS) attacks. Given the significant security and privacy benefits on offer, the proposed method significantly outweighs by consuming as low as 0.88 mj overheads as compared to standard blockchain.
Predator-Prey Model Based Resource Allocation in Edge Computing
Authors: liu bingjie , Bai Yali , Ding Li 
Published: March 2023

Abstract
Edge computing layer fills the gap between cloud computing layer and terminal devices layer, having the characteristics of fast processing speed and short application response time. Because the edge nodes are highly dynamic, the first problem we need to consider is how to allocate these resources reasonably so that the system can achieve a continuous stable state. In this paper, we study the resource allocation problem of network services in edge computing environment, and proposing a resource allocation model based on stochastic differential equation. We use the predator-prey model to analyze the resource strategy for the system to reach a stable state. We also quantitatively analyze the relationship between cloud computing resources and edge computing resources providing services to users, and prove the existence, uniqueness as well as stability of the model solution. Numerical simulation results show the correctness and effectiveness of the model.
Techno-economic analysis of using RFID to reduce errors in supply chains: A simulation approach
Authors: Shahrabi Mehran Salehi 
Published: March 2023

Abstract
Information and inventory flows are the lifelines of supply chain management which are closely intertwined. However in the real world, there are many errors between these two flows due to the variety of goods the number and variety of products. In this regard, the transaction errors are the common phenomena in supply chain processes such as receiving, selling, warehousing, etc. On the other hand, using RFID to reduce inventory errors via managers has doubts due to its costs. In present study, a novel methodology is provided for analyzing the effect of errors on information system inventory by applying the simulation approach. In addition, quantitative analyzing of RFID role in errors reduction is presented by determination of the optimal amount of inventory. To this, at first, the meaningful difference between profit in the absence and the presence of transaction errors was examined by statistical hypothesis testing and then optimal order quantity in the both of cases with and without the using RFID was calculated based on mathematical modeling. At last, the two-way sensitivity analysis approach is applied to examine the cost-effective using RFID. The results show that only at the point of optimal economic order quantity is always a meaningful difference between profit in the absence and the presence of transaction errors. Also the error rate is the most important factor and sale unit price and shortage cost are others factors, respectively for the cost-effective using RFID technology,
The clinical application of minimally invasive surgery for tibia fracture with traction reduction device on lower limb fracture
Authors: Lin Wang , Chen Shunyou , Yuan Cuihua , Wang Yingying , Zhang Shenshen , Xu Shenggui , Li Guangsheng , Huang Jiaqing , guo weizhong , Lin Chengshou 
Published: March 2023

Abstract
Background
The indirect reduction is one kind of micro-invasive technology. The most important mechanism of indirect reduction is traction.The purpose of this study was to independently develop a traction reduction device on lower limb fracture and explore the clinical effect of micro-invasive treatment on tibial fracture adopting this device.
Methods
A retrospective study was conducted on 21patients with tibial fracture adopted this device to assist fracture reduction during operation from August 2019 to June 2022. The cases included 10 tibial plateau fractures, 6 tibial shaft fractures and 5 distal tibia (pilon )fractures. 3 tibial shaft fracture cases were adopted intramedullary needle internal fixations, the others cases were adopted plate internal fixations.Demographic data, fracture type, perioperative data, and radiological evaluation were collected. Clinical outcomes were graded using Rasmussen function score and American orthopedic foot and ankle society (AOFAS) score.
Results
The cases were followed up from 12 to 33 months.All cases had no complications such as blood vessel and nerve injuries,infection and internal fixation fail. All cases got bony healing. The mean Rasmussen anatomy score before operation of tibial plateau cases was (6.60 ± 3.13), the score immediately after operation was (17.20 ± 1.03), and there was statistical significance difference between two groups(P༜0.05). The mean Rasmussen function score of tibial plateau fracture cases at the last follow-up was(28.20 ± 1.55).The mean length difference between both lower limbs of tibia shaft fracture cases immediately after operation was (2.17 ± 2.04) mm, and the mean varus-valgus angulation of tibia shaft fracture immediately after operation was (1.67 ± 0.82)°, the mean fracture anteroposterior angulation of tibia shaft fracture immediately after operation was (2.00 ± 1.10)°. The Burwell-Charnley radiological assessment immediately after operation of distal tibia cases was as follow, 5 cases got anatomical reduction and 1 got good reduction. The mean AOFAS score of ankle and foot function at the last follow-up was( 93.60 ± 5.73).
Conclusions
The traction reduction device on lower limb fracture is safe effective to application, convenient to use, and has definite reduction effect. It can be applied in supine, lateral and prone positions, and be applied to micro-invasive treatment on complex tibia fracture.
Multi-omics analysis of molecular landscape and heterogeneity in fetal adenocarcinoma of the lung
Authors: Guo Wei , Sun Li , Chen Xiaoxi , Zhou Haitao , Yan Shi , Zhao Gang , Bao Hua , Wu Xue , Shao Yang , Lin Lin 
Published: March 2023

Abstract
Fetal adenocarcinoma of the lung (FLAC) is a rare form of lung adenocarcinoma and was divided into high-grade (H-FLAC) and low-grade (L-FLAC) subtypes. In this study, we first depicted the multi-omics landscapes of this rare lung cancer type by performing multi-regional whole-exome sequencing, DNA methylation sequencing and RNA sequencing on 20 FLAC cases. Comparison of multi-omics profiles revealed significant differences between H-FLAC and L-FLAC in the genomic, epigenomic landscape and mutational signature but the transcriptomic landscape. Although phylogenetic analysis showed congruent evolutionary trajectories of the genetic and epigenetic change, the correlative relationships among multi-level intratumor heterogenetic (ITH) were distinct in two subtypes. A lower genetic ITH was related to worse prognosis in FLAC patients whereas higher methylation ITH in H-FLAC tended to relate to a worse survival. Taken together with the negative correlation between genetic and transcriptional ITH of H-FLAC, non-genetic heterogeneity may contribute to the worse prognosis of H-FLAC.
Comparison of the tumor immune microenvironment between glioblastoma and metastatic brain tumors.
Authors: Musca Beatrice , Russo Maria Giovanna , Tushe Ada , Magri Sara , Battaggia Greta , Pinton Laura , Bonaudo Camilla , Puppa Alessandro Della , Mandruzzato Susanna 
Published: March 2023

Abstract
Background: Brain metastases (BrM), which commonly arise in patients with melanoma, breast cancer and lung cancer, are associated with a poor clinical prognosis. In this context, the tumor microenvironment (TME) plays an important role since it either promotes or inhibits tumor progression. Our previous studies have characterized the immunosuppressive microenvironment of glioblastoma (GBM). The aim of this study is to compare the immune profiles of BrM and GBM in order to identify potential differences that may be exploited in their differential treatment.
Methods: Tumor and/or blood samples were taken from 20 BrM patients and 19 GBM patients. Multi-parametric flow cytometry was used to evaluate myeloid and lymphoid cells, as well as the expression of immune checkpoints in the TME and blood. The Mann-Whitney test and t-test were utilized for statistical analysis.
Results: High frequencies of myeloid cells dominate both the BrM and GBM landscapes, but there is a higher presence of tumor-associated macrophages in GBM, while BrM are characterized by a significant presence of tumor-infiltrating lymphocytes. Exhaustion markers are highly expressed in all T cells from both primary and metastatic brain tumors. The cell cycle analysis of a BrM and a GBM revealed proliferating tumor cells and blood-derived macrophages, but quiescent lymphocytes and resident microglial cells. As previously demonstrated for GBM, macrophages sorted from a lung BrM exhibited a strong immunosuppressive activity. Finally, a significant expansion of some myeloid cell subsets was observed in the blood of both GBM and BrM patients.
Conclusions: Our results define the main characteristics of the immune profile of BrM and GBM, which are distinguished by different levels of immunosuppressive myeloid cells and lymphocytes devoid of effector function. Understanding the role of the different cells in establishing the metastatic setting is critical to improving the therapeutic efficacy of new targeted immunotherapy strategies.
Estimated survival outcomes and absolute chemotherapy treatment benefit using PREDICT Tool® and EndoPredict®, in hormone-positive early-stage breast cancer.
Authors: Martin Marc Pujalte , Gal Jocelyn , Schiappa Renaud , Haudebourg Juliette , Bailleux Caroline , Milano Gérard , Ferrero Jean-Marc 
Published: March 2023

Abstract
INTRODUCTION: PREDICT is an online tool that estimates the 10-year breast cancer overall survival (10OS) with different adjuvant treatment combination. EndoPredict® is a genetic biomarker to guide decision on adjuvant systemic therapy in hormone-positive early-stage breast cancer. No study had ever correlated the estimated outcomes of PREDICT and EndoPredict® results.
MATERIAL AND METHODS: We collected data of 249 patients with a 12-gene molecular test (EndoPredict®). EndoPredict® risk-score (EPclin) categorized patients in low (EPclin < 3.3) or high-risk (EPclin ≥ 3.3) of recurrence. The benefit of chemotherapy and the overall survival at 10 years (10OS) with endocrine therapy alone or with chemoendocrine therapy was estimated with PREDICT.
RESULTS: From March 2017 to May 2022, 249 EndoPredict® tests (39% low-risk EPClin and 61% high-risk EPClin) were evaluated. In high-risk EPclin population compared with low-risk EPclin, 15% vs 6% (p=0.047) had a previous breast cancer event, 31% vs 14% a total mastectomy (p=0.006), 23% vs 10% do not express the progesterone receptor (p=0.011), 11% vs 5% had a SBR grade III (p=0.004) and 84% vs 63% had a Ki67 higher than 10% (p<0.001). The median estimated 10OS was prolonged by chemoendocrine therapy (85%) compared with endocrine therapy alone (83%) in high-risk EPclin (p=0.02), without difference in low-risk EPclin. The median chemotherapy benefit at 10OS was 2% [0.5-5.9] for low-risk and 2,6% [0.7-7.5] for high-risk EPclin (p = 0.0001).
CONCLUSION: EPclin seemed to be a predictive factor of adjuvant chemotherapy at 10OS. Results of prospective trials UNIRAD and RESCUE are pending.
Ensemble Deep Learning Model to Predict Lymphovascular Invasion in Gastric Cancer
Authors: Noh Myung-giun , Lee Jonghyun , Cha Seunghyun , Kim Jiwon , Kim Jung Joo , Kim Namkug , Gal Seong Gyu Jae , Choi Yoo-Duk , Kang Sae-Ryung , Song Ga-Young , Yang Deok-Hwan , Lee Jae-Hyuk , Lee Kyung-Hwa , Ahn Sangjeong , Kim Ju Han , Lee Jeong Hoon , Moon Kyoung Min 
Published: March 2023

Abstract
Lymphovascular invasion (LVI) is one of the most important prognostic factors in gastric cancer as it indicates a higher likelihood of lymph node metastasis and poorer overall outcome for the patient. Despite its importance, the detection of LVI(+) in histopathology specimens of gastric cancer can be a challenging task for pathologists as invasion can be subtle and difficult to discern. Herein, we propose a deep learning-based LVI(+) detection method using H&E‐stained whole‐slide images. The ConViT model showed the best performance in terms of both AUROC and AURPC among the classification models (AUROC: 0.9796; AUPRC: 0.9648). The AUROC and AUPRC of YOLOX computed based on the augmented patch-level confidence score were slightly lower (AUROC: -0.0094; AUPRC: -0.0225) than those of the ConViT classification model. With simple averaging of the patch-level confidence scores, the ensemble model exhibited the best AUROC, AUPRC, and F1 scores of 0.9880, 0.9769, and 0.9280, respectively. The proposed model is expected to contribute to precision medicine by potentially saving examination-related time and labor and reducing disagreements among pathologists.
Correlation Between Temperature Changes and Magnetostrictions in Magnetorheological Foam
Authors: Senin Nurul Nadia , Nordin Nur Azmah , Mazlan Saiful Amri , Yusof Shahir Yasin Mohd , Ubaidillah Ubaidillah 
Published: March 2023

Abstract
Magnetorheological (MR) foam has been identified as a potential magnetostrictive material due to high flexibility and rapid responsiveness towards applied magnetic fields. However, to date, the effect of MR foam at different temperatures has not yet been discovered. Since most devices have tendency to experience raise in temperature during operating system, this might affect characteristics and magnetostriction performance of magnetostrictive material. Therefore, this study aimed to investigate the effect of temperatures between 25 to 50oC on magnetostriction of MR foam, at magnetic fields ranging from 0 to 0.7T. Two samples were prepared which were PU foam and MR foam. During off-state (0T), both samples has reduced in dimension, by about 0.03–0.04% at increasing temperatures from 25 to 35oC. Then, both samples experienced expansion in dimensions at temperatures between 35 to 50oC, by 0.06% and 0.04% for PU and MR foams, respectively. Meanwhile, at on-state (0.1 to 0.7T), similar trends were observed in which the transition from decreased to increase in magnetostrictions occurred at 35oC. The phenomenon is due to the soft-segment and hard-segment in the polymer matrix that have been affected, within the temperature ranges of 25-35oC and 35-50oC respectively, which caused the negative and positive magnetostrictions of both samples.
Investigation of Bismuth Nano-Bioactive Glass Doped Iron Oxide Formation and Structure Properties on Biocompatibility
Authors: Kenawy Mahmoud A. , Ghazala M. A. Abu , Shinawy Ayman S. El , Tiama Taha M. , El-Bahnasawy H. H. 
Published: March 2023

Abstract
A novel nano-sized bismuth oxide bioglass doped iron oxide were synthesized through a sol-gel technique showed in graphical abstract. Bioactivity was investigated by in-vitro synthesis involving immersion of the samples in simulated body fluid (SBF) for different time intervals. XRD, FTIR, Fe57 Mössbauer spectroscopy, SEM, EDX and DLS were used to characterization of prepared bioglass. Results showed that Fe ions migrated into the glass matrix much faster than Si ions moved into the samples with iron content, especially with higher iron content. The experiment of co-culturing cells with BG showed that osteoblast-like MC3T3-E1 cells could attach well to the surface of BG, especially which contain iron content. Prepared material has the potential may be suitable for serving as a material to improve osteogenesis or thermoseeds targeted drug delivery of Fe-bioglass implants.
One size does not fit all: an application of stochastic modeling to estimating primary healthcare needs in Ethiopia at the sub-national level
Authors: Hagedorn Brittany , Han Rui , McCarthy Kevin 
Published: March 2023

Abstract
Background: Primary healthcare systems require adequate staffing to meet the needs of their local population. Guidelines typically use population ratio targets for healthcare workers, such as Ethiopia’s goal of two health extension workers for every five thousand people. However, fixed ratios do not reflect local demographics, fertility rates, disease burden (e.g., malaria endemicity), or trends in these values. Recognizing this, we set out to estimate the clinical workload to meet the primary healthcare needs in Ethiopia by region.
Methods: We utilize the open-source modeling package PACE-HRH for our analysis. This is a stochastic Monte Carlo simulation model, which samples annually from distributions for fertility, mortality, disease burden, and the trends in these rates. Inputs were drawn from literature, DHS, and UN population estimates. We model seven regions and two charted cities of Ethiopia, based on data availability and the anticipated reliability of historical trends into the future.
Results: All regions and charted cities are expected to experience increased workload between 2021 and 2035 for a starting catchment of five thousand people. The expected (mean) clinical workload varied from 2,930 hours (Addis) to 3,752 (Gambela) and increased by 19-28% over fifteen years. This results from a decline in per capita workload (due to declines in fertility and infectious diseases), overpowered by total population growth. Pregnancy, non-communicable diseases, sick child care, and nutrition remain the largest service categories, but their priority shifts substantially in some regions by 2035. Sensitivity analysis shows that fertility assumptions have major implications for workload. We incorporate seasonality and estimate monthly variation of up to 8.9% (Somali), though most services with high variability are declining.
Conclusions: Regional variation in demographics, fertility, seasonality, and disease trends all affect the workload estimates. This results in differences in expected clinical workload, the level of uncertainty in those estimates, and relative priorities between service categories. By showing these differences, we demonstrate the inadequacy of a fixed population ratio for staffing allocation. Policy-makers and regulators need to consider these factors in designing their healthcare systems, or they risk sub-optimally allocating workforce and creating inequitable access to care.
Tribological and mechanical properties of nanocrystalline TiAlN and TiSiN PVD coatings
Authors: Duan LIli , Li Renwei , Yang Gongyong , Hao Decheng , Xing Jian , Liu Kexin 
Published: March 2023

Abstract
TiN, TiAlN and TiSiN coatings were deposited on the W6Mo5Cr4V2 steel substrate by hollow cathodic-assisted multi-arc ion plating technology. The tribological properties of these coatings are comparatively studied. The microstructure, element composition, nanomechanics and wear properties of the substrate and coating surface of high-speed steel were evaluated by XRD, SEM, EDS, TEM, XPS and nano-indentation test. The results show that the mechanical properties of ternary coating TiAlN and TiSiN are improved compared with high-speed steel and binary TiN coatings, with TiAlN hardness and elastic modulus of 44.8 GPa and 438.6 GPa, and TiSiN hardness and elastic modulus of 34.8 GPa and 333.2 GPa. TiAlN coating has the strongest ability to resist plastic deformation due to solid solution strengthening. TiSiN can improve the plasticity and toughness of hard coating after fine grain strengthening. There is a strong correlation between the amount of sample wear and H3/E*2 value, and the larger the H3/E*2 value, the higher the wear resistance of the sample. The surface friction coefficients of TiN, TiAlN and TiSiN were all small compared with high-speed steel, and the roughness at the wear tracks of high-speed steel increased, while the roughness at the wear tracks of the coating samples decreased.
Efficiency, quality, and management practices in multidisciplinary and traditional diabetes healthcare services in Mexico
Authors: Chivardi Carlos , Sosa Alejandro Zamudio , Galárraga Omar , Sosa-Rubí Sandra G. 
Published: March 2023

Abstract
This study determined the efficiency of two different models of diabetes care (traditional units and multidisciplinary units), estimated quality levels, and identified management practices associated with better quality and efficiency of both models in Mexico. A random sample consisting of 40 units (20 for each type of unit), allowed us to estimate technical efficiency using data envelopment analysis (DEA) after we calculated quality scores (performance and competence). We mapped the relationship between efficiency and quality score, and using a positive deviance approach, we studied managerial determinants of best performance in terms of both efficiency and quality. We found that efficiency in multidisciplinary units was higher than in traditional units; traditional units scored very low in terms of efficiency. Likewise, in terms of the different quality metrics, the multidisciplinary units were much better evaluated than the traditional units. We found important differences in the quality scores for the different health care models. Two-thirds of the multidisciplinary units were in the best-performing group (above-median efficiency and above-median performance), and almost half of them were mapped to the high-competence quadrant. On the other hand, only 10% of the traditional units managed to position themselves in the best performance quadrant. Managerial characteristics were positively correlated with the probability of belonging to the group with the highest performance. Our findings indicate that multidisciplinary medical care can lead to better outcomes for patients with diabetes compared to traditional medical care. In both types of units, however, there is substantial opportunity to improve efficiency and quality levels.