bluuebunny/crossref_metadata_2025_split huggingface dataset:
Serum Inflammation-based Scores in Endocrine Tumors
Authors: Marques Pedro , de Vries Friso , Dekkers Olaf M , Korbonits Márta , Biermasz Nienke R , Pereira Alberto M 
Published: April 2021

AbstractContextSerum inflammation-based scores reflect systemic inflammatory response and/or patients’ nutritional status, and may predict clinical outcomes in cancer. While these are well-described and increasingly used in different cancers, their clinical usefulness in the management of patients with endocrine tumors is less known.Evidence acquisitionA comprehensive PubMed search was performed using the terms “endocrine tumor,” “inflammation,” “serum inflammation-based score,” “inflammatory-based score,” “inflammatory response-related scoring,” “systemic inflammatory response markers,” “neutrophil-to-lymphocyte ratio,” “neutrophil-to-platelet ratio,” “lymphocyte-to-monocyte ratio,” “Glasgow prognostic score,” “neutrophil-platelet score,” “Systemic Immune-Inflammation Index,” and “Prognostic Nutrition Index” in clinical studies.Evidence synthesisThe neutrophil-to-lymphocyte ratio and the platelet-to-lymphocyte ratio are the ones most extensively investigated in patients with endocrine tumors. Other scores have also been considered in some studies. Several studies focused in finding whether serum inflammatory biomarkers may stratify the endocrine tumor patients’ risk and detect those at risk for developing more aggressive and/or refractory disease, particularly after endocrine surgery.ConclusionsIn this review, we summarize the current knowledge on the different serum inflammation-based scores and their usefulness in predicting the phenotype, clinical aggressiveness, and disease outcomes and prognosis in patients with endocrine tumors. The value of such serum inflammation-based scores in the management of patients with endocrine tumors has been emerging over the last decade. However, further research is necessary to establish useful markers and their cut-offs for routine clinical practice for individual diseases.
Bauen für das wirkliche Leben
Authors: Rösch Felix , Buss Andreas 
Published: April 2021

Abstract
In Summer 1930 the tenement houses with galley access, the so-called Laubenganghäuser, were completed in Dessau-Törten. The project reflects the radical rationalism of Bauhaus director Hannes Meyer as well as his sensitivity to the needs of everyday life. The buildings can be considered like organisms with their own specific metabolism. Appreciated a UNESCO World Heritage Site, they have recently been examined in highest detail by an interdisciplinary team ranging from architects to archaeologists. By excavations and the review of rediscovered archival sources, it became possible to reconstruct the state at which the Laubenganghäuser were created. Furthermore, conclusions about the lives of the first residents could be drawn. Aspects of everyday life in a Bauhaus building as well as historical events appear as if under a magnifying glass.
Inequality, Growth, and Congestion Externalities
Authors: Aiyemo Babatunde , Morshed AKM Mahbub 
Published: April 2021

Abstract
We describe and numerically simulate the aggregate and distributional properties of an endogenous growth model with an infrastructure externality which is subject to relative congestion. We show that the congested externality induces higher growth, greater inequality, labor/leisure trade-off ambiguities and an ineffective capital income tax for the government to achieve long-term redistribution goals. We demonstrate the economic implications of congestions in production and consumption externalities on the public to private capital ratio, growth and income distribution. Finally, we discuss alternative tax options for promoting inclusive growth.
TEAD4 is a novel independent predictor of prognosis in LGG patients with IDH mutation
Authors: Yuan Hai-Yan , Lv Ya-Juan , Chen Yi , Li Dan , Li Xi , Qu Jian , Yan Han 
Published: April 2021

Abstract
TEA domain family members (TEADs) play important roles in tumor progression. Till now, the genomic status of TEADs in patients with glioma has not been well investigated. To confirm whether the genomic status of TEADs could affect the prognosis of patients with glioma, the copy number variation (CNV), mutation and expression data of glioma cohorts in The Cancer Genome Atlas, Gene Expression Omnibus and Chinese Glioma Genome Atlas were comprehensively analyzed. Results showed that TEAD CNV frequency in lower grade gliomas (LGGs) was higher than in glioblastoma multiforme (GBM). Multivariate cox regression analysis showed that TEAD4 CNV increase was significantly associated with overall survival (OS) and disease-free survival (DFS) in LGGs (OS p = 0.022, HR = 1.444, 95% CI: 1.054–1.978; DFS p = 0.005, HR = 1.485, 95% CI: 1.124–1.962), while not in GBM. Patients with TEAD4 CNV increase showed higher expression level of TEAD4 gene. In LGG patients with IDH mutation, those with higher TEAD4 expression levels had shorter OS and DFS. Integrating TEAD4 CNV increase, IDH mutations, TP53 mutation, ATRX mutation and 1p19q co-deletion would separate patients with LGG into four groups with significant differences in prognosis. These study results suggested that TEAD4 variations were independent predictive biomarkers for the prognosis in patients with LGG with IDH mutation.
Nonlinear dynamics and parametric study of snap through electromagnetic vibration energy harvester using multi-term harmonic balance method
Authors: Kaliyannan Devarajan 
Published: April 2021

Abstract
Vibration energy harvester (VEH) has proven to be a favorable potential technique to supply continuous energy from ambient vibrations and its performance is greatly influenced by the design of potential structures. A snap-through mechanism is used in an electromagnetic energy harvester to improve its effectiveness. It mainly comprises of three springs that are configured so that the potential energy of the system has two stable equilibrium points. In this work, a harmonically base excited snap-through electromagnetic vibration energy harvester is investigated by analytical and semi-analytical method. The approximate analytical outcomes are qualitatively and quantitatively supported by semi-analytical method using multi-term harmonic balance method (MHBM).The bifurcation diagram of response current shows that snap-through electromagnetic vibration energy harvesters exhibits periodic intrawell, interwell and chaotic motion when the system parameters are varied. The influence of system parameters on the response of snap-through electromagnetic vibration energy harvester are examined. Nonlinearity produced by the snap-through oscillator improves energy harvesting so that the snap-through electromagnetic energy harvester can outperform the linear energy harvester in the similar size under harmonic excitation. A fitness function was formulated and optimization of the selected parameters was done using genetic algorithm. The parametric optimization leads to a considerable improvement in the harvested current from the system.
CFD-based structure optimization of plate bundle in plate-fin heat exchanger considering flow and heat transfer performance
Authors: Li Yao , Si Haiqing , Qiu Jingxuan , Shen Yingying , Zhang Peihong , Jia Hongyin 
Published: April 2021

Abstract
The plate-fin heat exchanger has been widely applied in the field of air separation and aerospace due to its high specific surface area of heat transfer. However, the low heat transfer efficiency of its plate bundles has also attracted more attention. It is of great significance to optimize the structure of plate-fin heat exchanger to improve its heat transfer efficiency. The plate bundle was studied by combining numerical simulation with experiment. Firstly, according to the heat and mass transfer theory, the plate bundle calculation model of plate-fin heat exchanger was established, and the accuracy of the UDF (User-Defined Functions) for describing the mass and heat transfer was verified. Then, the influences of fin structure parameters on the heat and mass transfer characteristics of channel were discussed, including the height, spacing, thickness and length of fins. Finally the influence of various factors on the flow field performance under different flow states was integrated to complete the optimal design of the plate bundle.
Stochastic models with multiplicative noise for economic inequality and mobility
Authors: Bertotti Maria Letizia , Chattopadhyay Amit K , Modanese Giovanni 
Published: April 2021

Abstract
In this article, we discuss a dynamical stochastic model that represents the time evolution of income distribution of a population, where the dynamics develops from an interplay of multiple economic exchanges in the presence of multiplicative noise. The model remit stretches beyond the conventional framework of a Langevin-type kinetic equation in that our model dynamics is self-consistently constrained by dynamical conservation laws emerging from population and wealth conservation. This model is numerically solved and analysed to evaluate the inequality of income in correlation to other relevant dynamical parameters like the mobility
M and the total income
μ. Inequality is quantified by the Gini index G. In particular, correlations between any two of the mobility index M and/or the total income μ with the Gini index G are investigated and compared with the analogous quantities resulting from an additive noise model.
Positivity preserving high order schemes for angiogenesis models
Authors: Carpio A. , Cebrian E. 
Published: April 2021

Abstract
Hypoxy induced angiogenesis processes can be described by coupling an integrodifferential kinetic equation of Fokker–Planck type with a diffusion equation for the angiogenic factor. We propose high order positivity preserving schemes to approximate the marginal tip density by combining an asymptotic reduction with weighted essentially non oscillatory and strong stability preserving time discretization. We capture soliton-like solutions representing blood vessel formation and spread towards hypoxic regions.
Personal Information Management Behaviors of University Faculty – Aspects of Print versus Electronic
Authors: Nwagwu Williams Ezinwa , Donkor Antonia Bernadette 
Published: April 2021

Abstract
This study examined personal information creation and storage practices in digital and print media by faculty in selected universities in Ghana. A sample survey research design guided the research and quantitative data were collected from 235 faculty members of six universities in Ghana. Qualitative data was also collected from 18 willing faculty members, and was guided by an interview schedule. Faculty reported that they created their information in an organized manner and that they created information mainly in digital formats compared with manual. The task at hand determined the information facility created and search words that are semantically related to the item are used in finding/re-finding electronic information. Faculty reported that they acquired their information literacy personally, and information literacy explained re-finding of digital information but not non-digital information. The demographic variables in the study did not explain finding/re-finding of stored information: gender (β = −0.113, p = 0.280) and age (β = 0.038, p = 0.545). This study establishes clearly the pattern of information literacy activities for faculty in the universities in Ghana.
Towards lab-on-chip ultrasensitive ethanol detection using photonic crystal waveguide operating in the mid-infrared
Authors: Rostamian Ali , Madadi-Kandjani Ehsan , Dalir Hamed , Sorger Volker J. , Chen Ray T. 
Published: April 2021

Abstract
Thanks to the unique molecular fingerprints in the mid-infrared spectral region, absorption spectroscopy in this regime has attracted widespread attention in recent years. Contrary to commercially available infrared spectrometers, which are limited by being bulky and cost-intensive, laboratory-on-chip infrared spectrometers can offer sensor advancements including raw sensing performance in addition to utilization such as enhanced portability. Several platforms have been proposed in the past for on-chip ethanol detection. However, selective sensing with high sensitivity at room temperature has remained a challenge. Here, we experimentally demonstrate an on-chip ethyl alcohol sensor based on a holey photonic crystal waveguide on silicon on insulator-based photonics sensing platform offering an enhanced photoabsorption thus improving sensitivity. This is achieved by designing and engineering an optical slow-light mode with a high group-index of n

g
= 73 and a strong localization of the modal power in analyte, enabled by the photonic crystal waveguide structure. This approach includes a codesign paradigm that uniquely features an increased effective path length traversed by the guided wave through the to-be-sensed gas analyte. This PIC-based lab-on-chip sensor is exemplary, spectrally designed to operate at the center wavelength of 3.4 μm to match the peak absorbance for ethanol. However, the slow-light enhancement concept is universal offering to cover a wide design-window and spectral ranges towards sensing a plurality of gas species. Using the holey photonic crystal waveguide, we demonstrate the capability of achieving parts per billion levels of gas detection precision. High sensitivity combined with tailorable spectral range along with a compact form-factor enables a new class of portable photonic sensor platforms when integrated with quantum cascade laser and detectors.
Detection of volatile organic compounds: From chemical gas sensors to terahertz spectroscopy
Authors: Galstyan Vardan , D’Arco Annalisa , Di Fabrizio Marta , Poli Nicola , Lupi Stefano , Comini Elisabetta 
Published: April 2021

AbstractVolatile organic compounds are released by different sources causing air pollution. Moreover, some of these carbon-based organic chemicals are considered as biomarkers in the exhaled breath of individuals and can be used to identify various kinds of diseases. Hence, the increasing demand to control air quality and human health has promoted the development of monitoring systems based on high-performance gas sensing structures. This review highlights the achievements in sensing technologies for the detection of volatile organic compounds. Particularly, chemiresistive gas sensors and detection systems based on the terahertz spectroscopy method are outlined. The progress in research studies is discussed and the potential of both techniques is evaluated considering the current challenges. Afterward, a brief summary is also provided along with the advances and issues for future investigations and the manufacturing of highly sensitive and selective monitoring systems.
Compositional mechanisms and selectional constraints in syntax and word formation
Authors: Batiukova Olga 
Published: April 2021

AbstractThis study compares compositional processes involved in syntax on the one hand and word formation on the other hand within the Generative Lexicon framework. It first shows how semantic types incorporated in a structured lexical entry are acted on by different compositional mechanisms in predicates headed by verbs and in modification constructions, and then analyzes non-evaluative suffixation in Spanish in order to determine how the head suffix interacts with the meaning of the base word. It is concluded that different parts of the lexical entry of the selected component (syntactic argument or morphological base) can be accessed in both phrase construction and word formation, but the mechanisms underlying complex syntactic and morphological structures differ in significant ways.
Hippocampal size did not differ between epileptic and non-epileptic dogs using volumetric and subjective methods
Authors: Lőrincz Borbála A. , Anson Agustina , Handschuh Stephan , Tichy Alexander , Rowan Conor , Lőrincz Balázs B. , Garamvölgyi Rita 
Published: April 2021

AbstractHippocampal changes in epilepsy may manifest as hippocampal atrophy/sclerosis. A recent human study suggests that the demonstration of hippocampal volume loss is more reliable using quantitative evaluation methods. The aim of the present study was to obtain volumetric data in both epileptic and healthy dogs, to compare hippocampal volumes in both groups, and to compare subjective and volumetric assessment. Volumetric measurements of the hippocampi, lateral ventricles and hemispheria were performed in 31 epileptic and 15 control dogs. There was a positive association between the body weight and the hemispheric volume, as well as between the hemispheric volume and the ipsilateral hippocampal volume. There was no significant correlation between age and the volume of any measured brain structures. There was no statistically significant difference between the hippocampal volumes of the control group and the epileptic group. A statistically significant difference between the two groups for hippocampus/hemispherium ratio or hippocampal asymmetric ratio was not identified. An extrapolated hippocampal volume based on body weight was not possible in this study population.
Students' perceptions of e-learning and its effects on student outcomes amid the Covid 19 outbreak
Authors: Et. al. AHMED Al-GHANIMI , 
Published: April 2021

The worldwide incidence of COVID-19 disease has risen significantly, as COVID-19 was declared a pandemic disease by WHO on March 11, 2020. Iraq declared the emergency condition, followed by the curfew, in response to the COVID-19 crisis. As a result, after the COVID-19 pandemic, educational facilities were closed and distance learning emerged as a new educational tool to ensure the continuity of education in universities.
With the emergence of the (Covid-19) epidemic in the world today, it has become difficult to collect students in one semester, so higher education in Iraq has become dependent on e learning in all its lessons. Therefore, this study was designed to know the student's outcomes after relying on e-learning and comparing it to the traditional method in education and As well as to see the extent of students' acceptance of e-learning and whether it is considered a successful alternative to traditional education in light of COVID-19.
The Effect of the (Rothkopf) Model on Developing Conciliatory Thinking among Fourth-Grade Literary Students in History
Authors: Et. al. Murad Ahmed Khalaf, 
Published: April 2021

After identifying the subjects of the subject to be studied in the course of the experiment by five subjects, and for the purpose of measuring the compromise thinking test for the two sets of subjects studied by the researcher himself, the researcher prepared a compromise thinking test, presented to a group of experts and specialists to verify the truthfulness of the test, to analyze its paragraphs and calculate its persistence, and after analyzing the results of the responses of female sample students and statistically addressing them using appropriate statistical means, he found that the test was all paragraphs of the test.
After the completion of the (11) week-long experiment, the Compromise Thinking Test was applied to the requests of the pilot and officer groups, and after statistical analysis and processing of female students' answers using the T test for two linked samples, a statistically significant difference was found between the average grades of female students in the two research groups. The results also showed that the difference is statistically significant and that this difference in compromise thinking is in favor of the experimental group for the test of remote compromise thinking.
The Internet of Things Readiness in Public Organization: Descriptive Analysis
Authors: Et.al Norjanah Sulaiman 
Published: April 2021

The Internet of Things (IoT) is a system of interrelated computing devices. IoT involves mechanical and digital machines, objects, animals or people that are indicated with unique identifiers and the ability to transfer data over a network without requiring human-to-human as well as human-to-computer interaction. Government of Malaysia in 2015 has introduced the National Internet of Things Strategic Road Map as a way to provide the backbone of modern and smart cities as well to sustain the economic growth. However, the factors influencing IoT readiness in Malaysian organization needs to be further investigated. The purpose of this study is to investigate, identify and propose the readiness factors of IoT implementation. A survey involving a distribution of questionnaire to 30 respondents to get a descriptive indication coupled with interviews with 5 key expert employees from relevant agencies were executed. As a result, there are five factors being proposed and validated descriptively to influence the readiness of implementing IoT in Malaysia. These factors are Human Perspective, Technology Perspective, Governance and Management Perspective, Security Perspective and Policy and Law Perspective. For future work, this study suggest to include more participants using power statistics, hypothetical model testing and expand the questionnaire to other organization in order to develop a more comprehensive result ofIoT readiness in Malaysia.
Embedding Crowd-Vote as Knowledge Source to Support Decision Making on University Program Selection
Authors: Et.al Ismail, S 
Published: April 2021

Crowd-vote has implemented as a part of a university program recommendation system, complementing the aspect of knowledge management. The recommendation system is developed to support freshmen students’ decision making during program selection and uses for first time of enrolment. The challenges of decision-making among students is formed by many influential factors like family, agents, universities and others. Popular decision making models include rational, intuitive, among others. Rational models have series of sequential steps that involve a thinking process, while intuitive models are more on people experiences and recognition of the pattern based on what people believe and think how it will work. Other models attempt to combine both rational and intuitive aspects of decision. The challenge is foreseen in capturing experts’ opinion as part of students’ decision making, since experts are the good source of knowledge to strengthen the process. A prototype is developed for this purpose and constructive feedback from experts and students were collected to examine the significant use of crowd-vote using questionnaire survey. The objectives of this paper are to investigate the use of crowd-vote in leveraging decision making, and to evaluate the implementation of crowd-vote in supporting decision making during program selection. The results from expert opinions and students’ evaluation are discussed.