bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform
Authors: Wang Jinjiang , Gu Hangyu , Yu Junyang , Song Yixin , He Xin , Song Yalin 
Published: September 2022

AbstractIn the era of information explosion, the energy consumption of cloud data centers is significant. It’s critical to reduce the energy consumption of large-scale data centers while guaranteeing quality of service (QoS), especially the energy consumption of video cloud computing platforms. The application of virtual machine (VM) consolidation has been regarded as a promising approach to improve resource utilization and save energy of the data centers. In this paper, an energy efficient and QoS-aware VM consolidation method is proposed to address the issues. A combined prediction model based on grey model and ARIMA is applied to host status detection, and we provide a new scheme that VM placement policy based on resource utilization and varying energy consumption to search most suitable host and VM selection policy called AUMT selecting VM with low average CPU utilization and migration time. Extensive experimental results based on the cloudsim simulator demonstrate that proposed approach enables to achieve the objectives reducing energy consumption, number of migrations, SLAV and ESV by an average of 56.07%, 79.21%, 91.01% and 84.34% compared with the benchmark methods and the AUMT can reduce energy consumption, the number of migrations and ESV by an average of 15.46%, 28.11% and 3.96% compared with the state-of-the-art method.
Efficient and scalable patients clustering based on medical big data in cloud platform
Authors: Zhou Yongsheng , Varzaneh Majid Ghani 
Published: September 2022

AbstractWith the outbreak and popularity of COVID-19 pandemic worldwide, the volume of patients is increasing rapidly all over the world, which brings a big risk and challenge for the maintenance of public healthcare. In this situation, quick integration and analysis of the medical records of patients in a cloud platform are of positive and valuable significance for accurate recognition and scientific diagnosis of the healthy conditions of potential patients. However, due to the big volume of medical data of patients distributed in different platforms (e.g., multiple hospitals), how to integrate these data for patient clustering and analysis in a time-efficient and scalable manner in cloud platform is still a challenging task, while guaranteeing the capability of privacy-preservation. Motivated by this fact, a time-efficient, scalable and privacy-guaranteed patient clustering method in cloud platform is proposed in this work. At last, we demonstrate the competitive advantages of our method via a set of simulated experiments. Experiment results with competitive methods in current research literatures have proved the feasibility of our proposal.
Sustainability assessments of energy scenarios: citizens’ preferences for and assessments of sustainability indicators
Authors: Schmidt-Scheele Ricarda , Hauser Wolfgang , Scheel Oliver , Minn Fabienne , Becker Lisa , Buchgeister Jens , Hottenroth Heidi , Junne Tobias , Lehr Ulrike , Naegler Tobias , Simon Sonja , Sutardhio Claudia , Tietze Ingela , Ulrich Philip , Viere Tobias , Weidlich Anke 
Published: September 2022

Abstract
Background
Given the multitude of scenarios on the future of our energy systems, multi-criteria assessments are increasingly called for to analyze and assess desired and undesired effects of possible pathways with regard to their environmental, economic and social sustainability. Existing studies apply elaborate lists of sustainability indicators, yet these indicators are defined and selected by experts and the relative importance of each indicator for the overall sustainability assessments is either determined by experts or is computed using mathematical functions. Target group-specific empirical data regarding citizens’ preferences for sustainability indicators as well as their reasoning behind their choices are not included in existing assessments.

Approach and results
We argue that citizens’ preferences and values need to be more systematically analyzed. Next to valid and reliable data regarding diverse sets of indicators, reflections and deliberations are needed regarding what different societal actors, including citizens, consider as justified and legitimate interventions in nature and society, and what considerations they include in their own assessments. For this purpose, we present results from a discrete choice experiment. The method originated in marketing and is currently becoming a popular means to systematically analyze individuals’ preference structures for energy technology assessments. As we show in our paper, it can be fruitfully applied to study citizens’ values and weightings with regard to sustainability issues. Additionally, we present findings from six focus groups that unveil the reasons behind citizens’ preferences and choices.

Conclusions
Our combined empirical methods provide main insights with strong implications for the future development and assessment of energy pathways: while environmental and climate-related effects significantly influenced citizens’ preferences for or against certain energy pathways, total systems and production costs were of far less importance to citizens than the public discourse suggests. Many scenario studies seek to optimize pathways according to total systems costs. In contrast, our findings show that the role of fairness and distributional justice in transition processes featured as a dominant theme for citizens. This adds central dimensions for future multi-criteria assessments that, so far, have been neglected by current energy systems models.
The impact of economic-related freedoms on the national entrepreneurial activity
Authors: Dempere Juan M. , Pauceanu Alexandrina M. 
Published: September 2022

AbstractThis article aims to analyze the explanatory power of the constituent components of the Heritage Foundation’s Index of Economic Freedom over the Global Entrepreneurship and Development Institute’s Global Entrepreneurship Index and its sub-indexes. We analyze a sample of 118 countries with available historic data from 2014–2019. We evaluate the impact of the business, labor, monetary, trade, investment, and financial freedom indexes over the Global Entrepreneurship Index and its sub-indexes. We performed a cross-sectional analysis using generalized linear models and weighted least squares models. We also analyzed our panel data using panel-corrected standard error models. We find a significant and positive relationship between the Global Entrepreneurship Index and the business and financial freedom indexes. We also find a significant and positive relationship between the business and financial freedom indexes and the entrepreneurial attitudes, abilities, and aspirations sub-indexes. The limitations of our study include the diversity of national entrepreneurial ecosystems and the difficulty of measuring them with a few quantitative variables. Additionally, our results are heavily influenced by the selection of countries in our sample. To the best of the authors’ knowledge, no previous research article has studied the explanatory power of the Index of Economic Freedom’s constituent components over the Global Entrepreneurship Index and its sub-indexes. Similarly, our sample of 118 countries with data from 2014–2019 makes our study the most comprehensive global analysis about the relationship between economic freedom and entrepreneurship so far.
Analysis of water–energy–crop nexus indicators in irrigated sugarcane of Awash Basin, Ethiopia
Authors: Kedir Yusuf , Berhanu Belete , Alamirew Tena 
Published: September 2022

AbstractPressures on limited resources of water and energy in agriculture forced researchers to look for alternative approaches towards the solutions integrating the resources. Since the development of the water–energy–food (WEF) nexus concept, several methods including indicator approaches have been developed and are in use to analyze their linkages. The aims of the study have been to determine and compare the performances of sugarcane producing irrigation schemes and technologies in Awash Basin of Ethiopia. Water applied, input energy used and productivity of eleven irrigation schemes found in Wonji, Metehara and Kessem sugar factories have been used and the performances of each scheme were evaluated. Based on statistical analyses, irrigation schemes were grouped into gravity surface, pump surface and pump sprinklers. After normalizing the original data through min–max, performance scores were determined based on equal weight and entropy methods. Categorical assessments revealed that gravity surface schemes had the highest total input energy use and energy productivity scores while pump sprinkler schemes were better on the water applied, relative irrigation supply and water productivity indicators. However, regarding composite performance indicators or WEF nexus indices, pump surface schemes scored the highest followed by gravity surface schemes while sprinklers were the least. The study proved the emphasis of the sugar factories of the basin for crop productivity with the expenses of energy and water utilizations. Hence, improvements in water management of gravity surface schemes and energy utilization of sprinkler schemes were recommended as key solutions for balanced resource use as well as the overall sustainability of the sector.
Novel cellular immunotherapies for hematological malignancies: recent updates from the 2021 ASH annual meeting
Authors: Wang Ji-nuo , Gu Tianning , Hu Yongxian , Huang He 
Published: September 2022

AbstractCellular immunotherapy, including the chimeric antigen receptor T (CAR-T) cell therapy and CAR- natural killer (CAR-NK) cell therapy, has undergone extensive clinical investigation and development in recent years. CAR-T cell therapy is now emerging as a powerful cancer therapy with enormous potential, demonstrating impressive anti-tumor activity in the treatment of hematological malignancies. At the 2021 ASH annual meeting, numerous breakthroughs were reported concerning acute lymphocytic leukemia (ALL), lymphoma, acute myeloid leukemia (AML), and multiple myeloma (MM). Universal CAR-T cell and CAR-NK cell therapy, as well as induced pluripotent stem cell (iPSC)-derived immunotherapy, offer great “off-the-shelf” benefits. Major development and updates of cellular immunotherapy for hematological malignancies reported at the 2021 ASH annual meeting are summarized in this review.
Historical-graphical analysis and digital preservation of cultural heritage: case study of the baptismal font of the church of Santiago Apóstol in Montilla (Córdoba, Spain)
Authors: Calvo-Serrano María Araceli , Ortiz-Cordero Rafael , Hidalgo-Fernandez Rafael E. , Mesas-Carrascosa Francisco Javier , de Paula Montes-Tubío Francisco , Triviño-Tarradas Paula 
Published: September 2022

Abstract
Stone is a characteristic element in the construction of buildings and monuments in the Middle Ages in Spain. This is so mainly due to its durability and, in baptismal fonts, specifically, its symbolism: Jesus Christ is the cornerstone, he comes to save us and is the foundation of the life of the Christian and of the Universal Church. The application of virtual 3D reconstruction is essential in the conservation of this type of heritage, together with scientific techniques and methods, and the analysis of historical-graphic documentation. Focusing on these three aspects, the baptismal font of the church of Santiago Apóstol de Montilla will be taken as a reference. The baptismal font of the church of Santiago Apóstol in Montilla (Córdoba, Spain), whose exact origin is unknown, is one of the most important heritage assets. San Francisco Solano, known as the “Thaumaturge of the New World”, was baptised in it. For over four centuries, the temple has been the Main Church of the head of the Marquisate of Priego. This study aims to know, document and carry out a digital reconstruction of an important piece of the monumental heritage of the Catholic Church: the baptismal font of the church of Santiago Apóstol in Montilla. To this end, we searched a major literature review focused on the use of photogrammetry for reading old graphics and deciphering texts. After that we analysed the graphic documentation derived from the restoration process conducted by Cordovan restorer Vázquez Arjona in the late twentieth century. The application of 3D digitisation and documentation techniques has allowed not only to analyse this important heritage element in detail through a virtual reconstruction, but also to make a far-reaching discovery regarding one of its elements, the unknown inserted inscription in the baptismal font band.
Beyond “study skills”: a curriculum-embedded framework for metacognitive development in a college chemistry course
Authors: Gamby Sonja , Bauer Christopher F. 
Published: September 2022

Abstract
Background
There is a critical need for evidence-based metacognition instruction models with an ease of implementation. Three issues involved in advancing the implementation and assessment of metacognitive interventions are: (i) the lack of an operational framework for the development of metacognition; (ii) metacognition instruction models that lack a focus on explicitly engaging students’ self-perceptions; (iii) a lack of metacognitive interventions that are easy to implement and require minimal training. This study describes the development and implementation of a 10-week discussion-based module to promote metacognitive development as part of a general chemistry course at a community college. This curricular metacognition instruction model involved the explicit engagement of self-efficacy beliefs in addition to introducing metacognitive awareness and regulation through individual and group reflection. This approach involves a systematic framework which allowed students to confront their beliefs about their abilities, learn various task strategies, and practice these strategies along with their peers. This case study was designed to address the following: can explicit cognitive and metacognitive instruction and discussion serve as a catalyst for students to (1) build and adapt metacognitive knowledge about cognition, and (2) incorporate effective study strategies?.

Results
Students’ individual and collaborative reflections were analyzed using a thematic analysis. Written journal responses indicate that the module facilitated a shared discourse about cognition where metacognitive awareness was observed shifting from a tacit to explicit awareness. In addition, the framework facilitated the formation of support networks (cognitive and emotional) where students were observed exchanging cognitive strategies and encouraging one another to persevere through challenges.

Conclusions
Our findings suggest that the metacognitive instruction model described here can serve as a mechanism to encourage student reflection on their beliefs and behaviors. Instructors looking to include metacognition instruction could use the framework presented as a template. The discussion-based module is embedded in the curriculum, delivered through the course management system, and has a low barrier to implementation.
Machine learning classification of mediastinal lymph node metastasis in NSCLC: a multicentre study in a Western European patient population
Authors: Laros Sara S. A. , Dieckens Dennis , Blazis Stephan P. , van der Heide Johannes A. 
Published: September 2022

Abstract
Background
[18F] FDG PET-CT has an important role in the initial staging of lung cancer; however, accurate differentiation between activity in malignant and benign intrathoracic lymph nodes on PET-CT scans can be challenging. The purpose of the current study was to investigate the effect of incorporating primary tumour data and clinical features to differentiate between [18F] FDG-avid malignant and benign intrathoracic lymph nodes.

Methods
We retrospectively selected lung cancer patients who underwent PET-CT for initial staging in two centres in the Netherlands. The primary tumour and suspected lymph node metastases were annotated and cross-referenced with pathology results. Lymph nodes were classified as malignant or benign. From the image data, we extracted radiomic features and trained the classifier model using the extreme gradient boost (XGB) algorithm. Various scenarios were defined by selecting different combinations of data input and clinical features. Data from centre 1 were used for training and validation of the models using the XGB algorithm. To determine the performance of the model in a different hospital, the XGB model was tested using data from centre 2.

Results
Adding primary tumour data resulted in a significant gain in the performance of the trained classifier model. Adding the clinical information about distant metastases did not lead to significant improvement. The performance of the model in the test set (centre 2) was slightly but statistically significantly lower than in the validation set (centre 1).

Conclusions
Using the XGB algorithm potentially leads to an improved model for the classification of intrathoracic lymph nodes. The inclusion of primary tumour data improved the performance of the model, while additional knowledge of distant metastases did not. In patients in whom metastases are limited to lymph nodes in the thorax, this may reduce costly and invasive procedures such as endobronchial ultrasound or mediastinoscopy procedures.
Active bone marrow S-values for the low-energy electron emitter terbium-161 compared to S-values for lutetium-177 and yttrium-90
Authors: Hemmingsson Jens , Svensson Johanna , van der Meulen Nicholas P. , Müller Cristina , Bernhardt Peter 
Published: September 2022

Abstract
Background
Based on theoretical and preclinical results, terbium-161 may be a valid alternative to lutetium-177 and yttrium-90 in radionuclide therapies. The large low-energy electron emission from terbium-161 is a favorable feature in the treatment of disseminated disease, but its impact on the radiosensitive bone marrow needs to be evaluated. Using voxel-based skeletal dosimetry models in which active bone marrow is defined as regions containing stem cells and progenitor cells of the hematopoietic lineage, we generated S-values (absorbed dose per decay) for terbium-161 and evaluated its distribution-dependence in bone marrow cavities.

Methods
S-values in the active bone marrow were calculated for terbium-161, lutetium-177, and yttrium-90 irradiation using two (male/female) image-based bone marrow dosimetry models. The radionuclides were distributed to one of the three structures that define the spongiosa bone region in the skeletal models: (i) active bone marrow, (ii) inactive bone marrow, or (iii) surface or whole volume of the trabecular bone. Decay data from ICRP 107 were combined with specific absorbed fractions to calculate S-values for 13 skeletal sites. To increase the utility, the skeletal site-specific S-values were averaged to produce whole-body average S-values and spongiosa average S-values.

Results
For yttrium-90, the high-energy β particles irradiate the active marrow regardless of the source compartment, consistently generating the highest S-values (65–90% higher). Between terbium-161 and lutetium-177, the largest differences in S-values were with an active marrow source (50%), such as self-irradiation, due to the contribution of the short-ranged conversion and Auger electrons from terbium-161. Their influence decreased as the source moved to inactive marrow or the surface or volume of the trabecular bone, reducing the S-values and the differences between terbium-161 and lutetium-177 (15–35%).

Conclusion
The S-values of terbium-161 for active bone marrow and, consequently, the bone marrow toxicity profile were more dependent on the radionuclide distribution within the bone marrow cavity than the S-values of lutetium-177 and yttrium-90. This effect was attributed to the considerable low-energy electron emission of terbium-161. Therefore, it will be critical to investigate the bone marrow distribution of a particular radiopharmaceutical for accurate estimation of the active bone marrow dose.
Left hepatectomy with suprahepatic inferior vena cava resection and reconstruction under veno-arterial extracorporeal membrane oxygenation for intrahepatic cholangiocarcinoma: a case report
Authors: Ariizumi Shunichi , Yamamoto Masakazu , Hamasaki Azumi , Kotera Yoshihito , Kato Takaaki , Egawa Hiroto , Niinami Hiroshi , Honda Goro 
Published: September 2022

Abstract
Background
Curative surgery is the most effective treatment for intrahepatic cholangiocarcinoma (ICC). When an ICC involves the suprahepatic inferior vena cava (IVC), hepatectomy with suprahepatic IVC resection and reconstruction is challenging. For reconstruction of the suprahepatic IVC, total hepatic vascular exclusion (THVE), veno-venous bypass, and/or in situ hypothermic portal perfusion are required, but mortality and morbidity remain high.

Case presentation
We present a 73-year-old woman with mass-forming ICC which invaded the suprahepatic IVC and middle hepatic vein. Left hepatectomy, suprahepatic IVC resection, and reconstruction with an artificial graft were successfully performed during veno-arterial extracorporeal membrane oxygenation (V-A ECMO) to maintain blood pressure. While clamping the IVC diagonally, the right hepatic vein confluence could be preserved. No congestion in the right liver was seen; therefore, there was no requirement for the Pringle maneuver or THVE during reconstruction. No morbidity or mortality was seen after surgery.

Conclusions
Hepatectomy with suprahepatic IVC resection and reconstruction under V-A ECMO can be performed safely. When an ICC invades the suprahepatic IVC, V-A ECMO during resection and reconstruction of the suprahepatic IVC with an artificial graft is recommended as one of the options.