bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-wave mid-infrared time-resolved dual-comb spectroscopy of short-lived intermediates
Authors: Luo Pei-Ling 
Published: November 2020

In this Letter, an electro-optic dual-comb spectrometer with a central tunable range of 7.77–8.22 µm is demonstrated to perform transient absorption spectroscopy of the simplest Criegee intermediate (

C
H

2

O
O

), a short-lived species involved in many key atmospheric reactions, and its self-reaction product via comb-mode-resolved spectral sampling at microsecond temporal resolution. By combining with a Herriott-type flash photolysis cell,

C
H

2

O
O

can be probed with a detection limit down to

∼

1

×

10

11

m
o
l
e
c
u
l
e
s

c
m

−
3

. Moreover, pressure broadening of

C
H

2

O
O

absorption lines can be studied with spectrally interleaved dual-comb spectroscopy. This Letter holds promise for high-resolution precision measurements of transient molecules, especially for the study of large molecules in complex systems.
Intervention through Short Messaging System (SMS) and phone call alerts reduced HbA1C levels in ~47% type-2 diabetics–results of a pilot study
Authors: Kundury Kanakavalli K. , Hathur Basavanagowdappa 
Published: November 2020

Purpose
Despite extensive research and newer methods of interventions, the incidence and prevalence of diabetes is increasing at an alarming rate. Currently, according to world health organization (WHO) statistics, 422 million individuals are suffering from diabetes worldwide. In India, recent estimates have reported a significant increase in the number of diabetics in the last decade. Poor dietary habits, minimal adherence to treatment regimens, lack of timely education are some of the contributing factors for increasing incidence and huge economic burden; which can be handled by life style behavior modifications backed up by hand holding through continuous education. Prior studies have demonstrated the efficacy of various self-management tools and educational programs in better disease management behaviors among individuals with diabetes. Among various self-management tools, educating the individuals and alerting them using mobile phone calls and short messaging system (SMS) are widely accepted due to (a) the increasing mobile phone users and (b) availability of short messaging systems in local languages in the recent years. Therefore, a pilot study was conducted to determine the benefit of educating patients through phone calls and SMS in the self-management of diabetes.

Objectives
The objective of the study is to determine the feasibility and utility of SMS and phone call-based interventions in the management of diabetes by comparing the HbA1c values.

Methodology
The study was conducted for a period of 14 months from December 2017 till Feb 2019. Out of 380 individuals initially enrolled into the study, 120 had completed the 14-months period. Diabetes education through SMS and phone calls was provided on regular basis, and HbA1C levels at baseline, 8-months and 14-months quantified. In addition, feedback on patients’ satisfaction and utility of the SMS / Phone calls was collected using questionnaires.

Results
Data from our study demonstrated that after 8-months of intervention through phone calls, a significant increase in the number of individuals with HbA1c in the range of 5.1 to 7.0 was observed (from 27 individuals at base line to 37 individuals after 8-months intervention). Much more significant improvement in the number of individuals with lower HbA1c was observed at 14-months of intervention, indicating the benefit of regular phone call-based system in managing diabetes. A Chi square (χ2) test was performed to examine if the frequencies in the cells varied at baseline and at 8 and 14 months.

Conclusion
Chronic diseases like diabetes needs awareness and education to patients in adopting disease self-management practices. As mobile phone users are increasing in number, providing diabetes management education through mobile phone intervention could be a viable strategy for controlling diabetes.
Evaluating the U.S. Air Quality Index as a risk communication tool: Comparing associations of index values with respiratory morbidity among adults in California
Authors: Cromar Kevin R. , Ghazipura Marya , Gladson Laura A. , Perlmutt Lars 
Published: November 2020

Background
The Air Quality Index (AQI) in the United States is widely used to communicate daily air quality information to the public. While use of the AQI has led to reported changes in individual behaviors, such behavior modifications will only mitigate adverse health effects if AQI values are indicative of public health risks. Few studies have assessed the capability of the AQI to accurately predict respiratory morbidity risks.

Methods and findings
In three major regions of California, Poisson generalized linear models were used to assess seasonal associations between 1,373,165 respiratory emergency department visits and short-term exposure to multiple metrics between 2012–2014, including: daily concentrations of NO2, O3, and PM2.5; the daily reported AQI; and a newly constructed health-based air quality index. AQI values were positively associated (average risk ratio = 1.03, 95% CI 1.02–1.04) during the cooler months of the year (November-February) in all three regions when the AQI was very highly correlated with PM2.5 (R2 ≥ 0.89). During the warm season (March-October) in the San Joaquin Valley region, neither AQI values nor the individual underlying air pollutants were associated with respiratory morbidity. Additionally, AQI values were not positively associated with respiratory morbidity in the Southern California region during the warm season, despite strong associations of the individual underlying air pollutants with respiratory morbidity; in contrast, health-based index values were observed to be significantly associated with respiratory morbidity as part of an applied policy analysis in this region, with a combined risk ratio of 1.02 (95% CI: 1.01–1.03).

Conclusions
In regions where individual air pollutants are associated with respiratory morbidity, and during seasons with relatively simple air mixtures, the AQI can effectively serve as a risk communication tool for respiratory health risks. However, the predictive ability of the AQI and any other index is contingent upon the monitored values being representative of actual population exposures. Other approaches, such as health-based indices, may be needed in order to effectively communicate health risks of air pollution in regions and seasons with more complex air mixtures.
Distal organ inflammation and injury after resuscitative endovascular balloon occlusion of the aorta in a porcine model of severe hemorrhagic shock
Authors: Li Yansong , Dubick Michael A. , Yang Zhangsheng , Barr Johnny L. , Gremmer Brandon J. , Lucas Michael L. , Necsoiu Corina , Jordan Bryan S. , Batchinsky Andriy I. , Cancio Leopoldo C. 
Published: November 2020

Background and objectiveResuscitative Endovascular Balloon Occlusion of Aorta (REBOA) has emerged as a potential life-saving maneuver for the management of non-compressible torso hemorrhage in trauma patients. Complete REBOA (cREBOA) is inherently associated with the burden of ischemia reperfusion injury (IRI) and organ dysfunction. However, the distal organ inflammation and its association with organ injury have been little investigated. This study was conducted to assess these adverse effects of cREBOA following massive hemorrhage in swine.MethodsSpontaneously breathing and consciously sedated Sinclair pigs were subjected to exponential hemorrhage of 65% total blood volume over 60 minutes. Animals were randomized into 3 groups (n = 7): (1) Positive control (PC) received immediate transfusion of shed blood after hemorrhage, (2) 30min-cREBOA (A30) received Zone 1 cREBOA for 30 minutes, and (3) 60min-cREBOA (A60) given Zone 1 cREBOA for 60 minutes. The A30 and A60 groups were followed by resuscitation with shed blood post-cREBOA and observed for 4h. Metabolic and hemodynamic effects, coagulation parameters, inflammatory and end organ consequences were monitored and assessed.ResultsCompared with 30min-cREBOA, 60min-cREBOA resulted in (1) increased IL-6, TNF-α, and IL-1β in distal organs (kidney, jejunum, and liver) (p< 0.05) and decreased reduced glutathione in kidney and liver (p< 0.05), (2) leukopenia, neutropenia, and coagulopathy (p< 0.05), (3) blood pressure decline (p <0.05), (4) metabolic acidosis and hyperkalemia (p< 0.05), and (5) histological injury of kidney and jejunum (p< 0.05) as well as higher levels of creatinine, AST, and ALT (p< 0.05).Conclusion30min-cREBOA seems to be a feasible and effective adjunct in supporting central perfusion during severe hemorrhage. However, prolonged cREBOA (60min) adverse effects such as distal organ inflammation and injury must be taken into serious consideration.
O znaczeniu badań ilościowo-jakościowych w edukacji. Próba łączenia wody z ogniem…
Authors: Trusz Sławomir 
Published: November 2020

Trusz Sławomir, O znaczeniu badań ilościowo-jakościowych w edukacji1. Próba łączenia wody z ogniem… [The Meaning of Mixed Quantitative and Qualitative Research in Education. An Attempt to Combine Fire and Water]. Studia Edukacyjne nr 44, 2017, Poznań 2017, pp. 93-104. Adam Mickiewicz University Press. ISSN 1233-6688. DOI: 10.14746/se.2017.44.6
Social research, including educational studies, could be conducted in accordance with ontological and epistemological assumptions of quantitative vs. qualitative research orientations. When such a distinction is present, the same phenomena are analyzed and presented in a significantly different and often mutually excluding way. Is such an approach justified? It seems it is not. Based on the precedence of a research subject over the method, it could be said that a more comprehensive picture of the phenomena analyzed emerges when researchers make use of methods accepted in both quantitative and qualitative research orientations. The article presents theoretical assumptions and interesting practical solutions of a mixed approach (a mixed methodology) in social research. On the one hand, solutions and methods recommended for the quantitative research can be useful for studies conducted in accordance with the assumptions of qualitative orientation, and on the other hand, solutions and methods recommended for the qualitative research may be useful for the studies conducted in accordance with the assumptions of quantitative orientation. Both approaches have been illustrated by particular examples of research practices.
The Hopefull Leviathan: Hope, Deliberation and the Commonwealth
Authors: Bobier Christopher 
Published: November 2020

AbstractAccording to a common reading of Thomas Hobbes, fear is the most philosophically important passion, responsible for the founding and sustaining of the commonwealth. I argue that this common reading is incorrect by focusing on the necessary and important role of hope in human action as well as in the founding and sustaining of the commonwealth. Life in the Hobbesian commonwealth, on the reading defended in this paper, is less fearful and more hopeful than scholars have noticed.
Solomon and Saturn I, 89 a, “prologa prim”: An Exercise in Monastic Reading Practice
Authors: Burns Rachel A. 
Published: November 2020

AbstractThis article reassesses the grammatically problematic half-lineprologa prima(l. 89a) in the Old English wisdom poemSolomon and Saturn I, and suggests that it ought to be emended to the grammatically viable reading of “prologa prim”. Line 89 a introduces a passage in which the words of the Pater Noster become anthropomorphised as warriors and attack the devil. I will argue that “prologa prim” is an exegetical exercise, informed by grammatical theory and liturgical practice, designed for an audience of monastic readers. This multivalent half-line offers different levels of meaning when read according to different permutations of language and metaphor, in a process analogous to the interpretation of scripture according to the influential model of fourfold exegesis. When read literally, as ‘the first of the initial letters’, “prologa prim” indicates the unfolding and time-bound process of reading. Previous scholars (Anlezark 2009; Anderson 1998) have noted the allusive references in line 89 a to Greeklogos(‘word’) and Old Englishprim(‘first hour’, ‘Prime office’), but not their full significance. Through these allusions, the reader shifts from a literal reading to a spiritual and metaphorical reading of the half-line, achieving a diachronic perspective of the Pater Noster’s recitation across time, and finally an atemporal perspective, reading in line 89 a a paraphrase of John 1:1, “In the beginning was the Word”. In conjunction with the subsequent episode of the battle, line 89 a forms an exemplum of the monastic practice oflectio divina. This example of ‘monastic poetics’ (O’Camb 2014; Niles 2019) moves from grammatical analysis to a vision of the Word.
The Development of the Southeast Lower Town of Sirkeli Höyük
Authors: Sollee Alexander E. , Mönninghoff Hannah , Kozal Ekin , Karakaya Doğa , Heim Joëlle , Gür Selin 
Published: November 2020

AbstractThe site of Sirkeli Höyük in the province of Adana in modern Turkey is one of the largest settlement mounds in Plain Cilicia. In 2012, a geophysical survey revealed that the ancient settlement was not confined to thehöyük, but also encompassed an extensive lower town to the southeast of the main mound. To gain information on the dating and development of this part of the settlement, an excavation area (“Sector F”) was opened at a spot where the magnetometry survey suggested the presence of a city gate. Since then, archaeological work in this area has continuously produced new discoveries that help us understand how this residential area and its inhabitants developed throughout the periods of its occupation. Especially the Iron Age (Neo Cilician period) levels, which cover approximately the 11th–7thcenturies B.C., provide important information on how this urban center of the Neo Hittite kingdom Hiyawa/Que changed over time and to which extent historical events impacted the people living in one of its residential areas. This contribution discusses the stratigraphic sequence, the pottery, and the archaeobotanical remains discovered in Sector F during the 2013–2019 campaigns, and concludes with a synthesis of the development in this area from a historical perspective.
Development of HD-headlamps with high-performance projectors
Authors: Köhler Susanne , Kubitza Boris , Thoma Aniella 
Published: November 2020

Abstract
High-resolution headlamp concepts, such as the SSL|HD system from HELLA [1], induce completely new requirements for the evaluation of headlamp light distributions. The subjective perception of image quality is becoming increasingly important compared to the fulfilment of legal lighting values. High-performance projectors allow a good compromise between rapid but theoretical simulations and real but expensive prototypes. These projectors can display different static or dynamic simulations in a realistic way with regard to image quality and light values [2]. This article first introduces the high-performance projectors used for this purpose at HELLA. The projectors can be used to visualize the headlamp light distribution early in the development process, long before prototypes or overall systems are implemented in the vehicle. Following this, two exemplary research questions for static situations are presented, which were answered on the basis of investigations with the high-performance projectors. The requirements for dynamic simulations of real traffic situations, which are described by the interaction of the individual sensors installed in the vehicle (e.g. vehicle dynamics, level sensors, camera), are much more complex. In the paper, a development tool consisting of high-performance projectors and the HELLA simulation software ALiSiA is presented. The aim is a dynamic visualization of the entire system to optimize the development process.
A cognitive approach to the conceptual metaphors in Shi Jing (The Book of Poetry)
Authors: Lan Chun , Yin Zichong 
Published: November 2020

Abstract
This is a cognitive linguistic study of Shi Jing (The Book of Poetry), the first collection of poems in Chinese history dated from the 11th to the 6th century B.C. Adopting the framework of Conceptual Metaphor Theory, we carry out a comprehensive analysis of all the metaphorical expressions in the collection, with the aim of investigating the underlying conceptual metaphors and exploring the interrelationships between metaphor, cognition and culture. The main findings are: 1) Altogether 476 metaphorical expressions have been identified, not only in those poems traditionally associated with bĭ (comparison) or xìng (affective image), but also in those poems traditionally associated with fù (narration). 2) Most of the metaphorical expressions identified belong to the Great Chain of Being Metaphor and can be further divided into downward ones and upward ones, with the former outnumbering the latter. 3) From the underlying conceptual metaphors, it can be observed that the conceptualization pattern of the Zhou Dynasty is rather anthropocentric and anthropomorphic, with a certain tendency towards animism. It is also patriarchal in regarding men as aesthetic subject and women as aesthetic object. 4) The Zhou people also showed remarkable figurative creativity. All the four devices summarized by Lakoff and Turner (1989) for creating novel language from conventional materials (extending, elaborating, questioning and composing) have been skillfully employed by the Zhou people to sing for their love and lament the miseries of life.
Silencing the Present? Decolonization, Nationalization, and Natural Right(s) in Émeric Bergeaud’sStella(1859)
Authors: Kjærgård Jonas Ross 
Published: November 2020

AbstractÉmeric Bergeaud wroteStella(1859), his novelistic account of the Haitian revolution (1791–1804), at a most turbulent moment in Haitian history. Faustin Soulouque rose to power in the late 1840 s and soon began to pursue his political opponents with violent means. Coming from a “Boyerist” background, Bergeaud fled the country in 1848 and settled in St. Thomas where he worked on his novel while his health deteriorated. Despite his precarious life in exile, Bergeaud remained silent about Soulouque in his decisively political novelStella. As Michel-Rolph Trouillot, Madeleine Dobie, and others have shown, the history of slavery has often been silenced in literature and public debate, but what does it mean for Bergeaud to silence the present and focus on the past? I argue thatStellain fact makes a significant intervention in the debates about mid-19th-century Haiti. Instead of confronting Soulouque directly, however, Bergeaud addresses a pair of structural problems of which I consider Soulouque and his policy emblematic expressions: decolonization and nationalization. Most existing readings have emphasized Bergeaud’s reflections on history, but in this contextualized analysis, I show that Bergeaud looks not only to the past but also and importantly to nature and natural right(s) philosophy in his novelistic search for a way forward for Haiti.
Jaya Spider Monkey Optimization-driven Deep Convolutional LSTM for the prediction of COVID’19
Authors: Chander Satish , Padmanabha Vijaya , Mani Joseph 
Published: November 2020

Abstract
COVID’19 is an emerging disease and the precise epidemiological profile does not exist in the world. Hence, the COVID’19 outbreak is treated as a Public Health Emergency of the International Concern by the World Health Organization (WHO). Hence, an effective and optimal prediction of COVID’19 mechanism, named Jaya Spider Monkey Optimization-based Deep Convolutional long short-term classifier (JayaSMO-based Deep ConvLSTM) is proposed in this research to predict the rate of confirmed, death, and recovered cases from the time series data. The proposed COVID’19 prediction method uses the COVID’19 data, which is the trending domain of research at the current era of fighting the COVID’19 attacks thereby, to reduce the death toll. However, the proposed JayaSMO algorithm is designed by integrating the Spider Monkey Optimization (SMO) with the Jaya algorithm, respectively. The Deep ConvLSTM classifier facilitates to predict the COVID’19 from the time series data based on the fitness function. Besides, the technical indicators, such as Relative Strength Index (RSI), Rate of Change (ROCR), Exponential Moving Average (EMA), Williams %R, Double Exponential Moving Average (DEMA), and Stochastic %K, are extracted effectively for further processing. Thus, the resulted output of the proposed JayaSMO-based Deep ConvLSTM is employed for COVID’19 prediction. Moreover, the developed model obtained the better performance using the metrics, like Mean Square Error (MSE), and Root Mean Square Error (RMSE) by considering confirmed, death, and the recovered cases of COVID’19 for China and Oman. Thus, the proposed JayaSMO-based Deep ConvLSTM showed improved results with a minimal MSE of 1.791, and the minimal RMSE of 1.338 based on confirmed cases in Oman. In addition, the developed model achieved the death cases with the values of 1.609, and 1.268 for MSE and RMSE, whereas the MSE and the RMSE value of 1.945, and 1.394 is achieved by the developed model using recovered cases in China.
A novel melanoma detection model: adapted K-means clustering-based segmentation process
Authors: Sukanya S. T. , Jerine  
Published: November 2020

Abstract

Objectives
The main intention of this paper is to propose a new Improved K-means clustering algorithm, by optimally tuning the centroids.

Methods
This paper introduces a new melanoma detection model that includes three major phase’s viz. segmentation, feature extraction and detection. For segmentation, this paper introduces a new Improved K-means clustering algorithm, where the initial centroids are optimally tuned by a new algorithm termed Lion Algorithm with New Mating Process (LANM), which is an improved version of standard LA. Moreover, the optimal selection is based on the consideration of multi-objective including intensity diverse centroid, spatial map, and frequency of occurrence, respectively. The subsequent phase is feature extraction, where the proposed Local Vector Pattern (LVP) and Grey-Level Co-Occurrence Matrix (GLCM)-based features are extracted. Further, these extracted features are fed as input to Deep Convolution Neural Network (DCNN) for melanoma detection.

Results
Finally, the performance of the proposed model is evaluated over other conventional models by determining both the positive as well as negative measures. From the analysis, it is observed that for the normal skin image, the accuracy of the presented work is 0.86379, which is 47.83% and 0.245% better than the traditional works like Conventional K-means and PA-MSA, respectively.

Conclusions
From the overall analysis it can be observed that the proposed model is more robust in melanoma prediction, when compared over the state-of-art models.