bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments
Authors: Ye Zikun , Zhang Dennis J. , Zhang Heng , Zhang Renyu , Chen Xin , Xu Zhiwei 
Published: October 2022

Cold start describes a commonly recognized challenge for online advertising platforms: with limited data, the machine learning system cannot accurately estimate the click-through rates (CTR) of new ads and, in turn, cannot efficiently price these new ads or match them with platform users. Traditional cold start algorithms often focus on improving the learning rates of CTR for new ads to improve short-term revenue, but unsuccessful cold start can prompt advertisers to leave the platform, decreasing the thickness of the ad marketplace. To address these issues, we build a data-driven optimization model that captures the essential trade-off between short-term revenue and long-term market thickness on the platform. Based on duality theory and bandit algorithms, we develop the shadow bidding with learning (SBL) algorithms with a provable regret upper bound of [Formula: see text], where K is the number of ads and d captures the error magnitude of the underlying machine learning oracle for predicting CTR. Our proposed algorithms can be implemented in a real online advertising system with minimal adjustments. To demonstrate this practicality, we have collaborated with a large-scale video-sharing platform, conducting a novel, two-sided randomized field experiment to examine the effectiveness of our SBL algorithm. Our results show that the algorithm increased the cold start success rate by 61.62% while compromising short-term revenue by only 0.717%. Our algorithm has also boosted the platform’s overall market thickness by 3.13% and its long-term advertising revenue by (at least) 5.35%. Our study bridges the gap between the theory of bandit algorithms and the practice of cold start in online advertising, highlighting the value of well-designed cold start algorithms for online advertising platforms. This paper was accepted by Gabriel Weintraub, revenue management and market analytics. Supplemental Material: Data and the online appendices are available at https://doi.org/10.1287/mnsc.2022.4550 .
Effect of hologram plane position on particle tracking using digital holographic microscopy
Authors: Elius Md , Ling Hangjian 
Published: October 2022

This paper discusses the effect of hologram plane position on the
tracking of particle motions in a 3D suspension using digital
holography microscopy. We compare two optical configurations where the
hologram plane is located either just outside the particle suspension
or in the middle of the suspension. In both cases, we record two
axially separated holograms using two cameras and subsequently adopt
an iterative phase retrieval approach to solve the virtual image
problem. We measure the settling motions of 2 µm spheres in a
2 mm thick sample containing 300 to

1500

p
a
r
t
i
c
l
e
s

/

m
m

3

. We show that the optical setup where
the hologram plane is located in the middle of the sample provides
superior tracking results compared to the other, including higher
accuracy in the measurement of particle displacement and longer
particle trajectories. The accuracy of particle displacement increases
by a maximum of 18%, and the trajectory length increases by a maximum
of 16%. This superior outcome is due to the less overlapping of the
diffraction patterns on the holograms when the separation distance
between particles and the hologram plane is minimized.
Comparison of cardiovascular and renal outcomes between dapagliflozin and empagliflozin in patients with type 2 diabetes without prior cardiovascular or renal disease
Authors: Lim Jayoung , Hwang In-Chang , Choi Hong-Mi , Yoon Yeonyee E. , Cho Goo-Yeong 
Published: October 2022

Background
Cardiovascular and renal benefits of sodium glucose co-transporter 2 inhibitors (SGLT2i) have been clearly demonstrated. However, studies comparing the effects of dapagliflozin and empagliflozin are scarce. In addition, relatively few studies have analyzed the effects of SGLT2i in diabetic patients without established atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD), or heart failure (HF), and current guidelines recommend SGLT2i and other antidiabetic drugs equally in this population. Therefore, we aimed to compare the clinical outcomes between dapagliflozin, empagliflozin, and dipeptidyl peptidase-4 inhibitors (DPP4i) in patients with type 2 diabetes without prior ASCVD, CKD, or HF.

Methods
Using a propensity-score matching method, we retrospectively analyzed 921 patients treated with dapagliflozin, 921 patients treated with empagliflozin, and 1842 patients treated with DPP4i (control group). Study outcomes comprised composite coronary events (acute coronary syndrome and coronary revascularization), composite ischemic events (coronary events and stroke), and composite heart failure and renal events.

Results
During follow up (median, 43.4 months), the incidence of composite coronary events was significantly lower in the SGLT2i groups than in the control group, and the incidence of composite ischemic events was lower in the dapagliflozin group than in the control group. Dapagliflozin and empagliflozin both demonstrated significant benefits in terms of HF and renal outcomes, supported by renoprotective effects, as assessed by the change in glomerular filtration rate. At 24–36 months of treatment, the empagliflozin group had higher low-density lipoprotein cholesterol levels, and lower glycated hemoglobin levels, compared to those in the dapagliflozin and control groups.

Conclusion
SGLT2i use was associated with a significantly reduced risk of ASCVD, HF hospitalization, and renal events, compared to that with DPP4i use among diabetic patients without prior ASCVD, CKD, or HF. There were no significant differences in clinical outcomes between dapagliflozin and empagliflozin, supporting a SGLT2i class effect.
The resilient potential behaviours in an Internal Medicine Department: Application of resilience assessment grid
Authors: Safi Mariam , Thude Bettina Ravnborg , Brandt Frans , Clay-Williams Robyn 
Published: October 2022

Background
The healthcare system is frequently subject to unpredictable conditions such as organisational changes and pandemics. In order to perform as required under these conditions (i.e. exhibiting resilient behaviour), it is necessary to know the current position of the organisation with respect to the four resilient potentials i.e. respond, monitor, learn and anticipate. The study aimed to understand and assess resilient performance of an Internal Medicine Department in a public hospital in Denmark using the resilience assessment grid (RAG).

Methods
A modified Delphi method was used to develop the context specific RAG, using interviews to generate items, two rounds of expert panel reviews and pilot testing the developed RAG questionnaire. The four sets of structured RAG questions were tested and revised until satisfactory face and content validity for application was achieved. The final version of the RAG (28-item Likert scale) questionnaire was sent electronically to 87 healthcare professionals (clinicians and managers) in January 2021 and 2022. The data was statistically analysed and illustrated in radar charts to assist in interpreting the resilience profiles.

Results
While the resilience profiles in 2021 and 2022 were similar, the scores in 2022 were slightly lower for some of the sub-indicators. The results indicate areas for improvement, especially related to the Internal Medicine Department’s potential to respond and learn. The results from the RAG were presented to the chief clinical consultants and managers to identify initiatives for quality improvement and for planning a new workflow at the Internal Medicine Department.

Conclusion
The RAG is a managerial tool to assess the potential resilient performance of the organisation in respect to the four resilience potentials, i.e., responding, monitoring, learning, and anticipating. It can be used to construct the resilience profile of the system over time to manage organisational changes.
Eco-Theology: Content Analysis Of The Teaching Contents Employed For Environmental Education In The Religious Education Curricula From Basic Schools To High Schools In Ghana
Authors: Asare Janix 
Published: October 2022

Eco-theology, a subset of science and religion, the old rivals is emerging as one oft he alternatives to environmental protection. Therefore this study did a content analysis oft he teaching contents employed for environmental education in the religious education curricula from basic schools to high schools in Ghana, a highly religious country faced withe nvironmental problems.
The religious education curricula for grade 1-12 from elementary school to senior highs chool contain easily identifiable concepts of environmental education. The curricula soughtt o shape in students characters care for the environment, sought to teach eco-spiritualty conditioning ecological beliefs about nature destiny, teach subject specific practices about morals, character and attitude as well as tutor personal and social values that are essential for individual and societal growth and development.
However, the religious education curricula lacked clarification of the distinction between the role of God and the role of man in environmental protection which may leave room for misconceptions in eco-theology. However, no amendments on applying pragmatic solutions trying how Refutation Texts can impact Conceptual Change in Eco-Theology edification has been realised, therefore further studies on this topic is being implemented.
Predictors to a Failed Initial Routine Hearing Screening Test among Newborns
Authors: de la Bajan Carl Vinzon 
Published: October 2022

Predictors to a Failed Initial Routine Hearing Screening Test among Newborns in Vicente Sotto Memorial Medical Center
Objective: To determine the predictors to a failed initial routine OAE hearing screening test among newborns born at Vicente Sotto Memorial Medical Center (VSMMC).
Methodology: All charts of neonates born at VSMMC regardless of the course in the ward but underwent routine initial hearing screening anytime from birth to 1 month old were included in this study. This study was conducted on two groups of patients: case (those who failed the initial OAE) and control (those who passed initial OAE). Neonatal and maternal factors were compared among the cases and controls and associations were determined.
Results: A total of 880 patient charts were reviewed and respective data were analyzed. A total of ninety one percent (91.93%) passed and eight percent (8.07%) failed the initial routine hearing screening (OAE) test. The predictors measured in this study were found to have no association towards failing the OAE test the first time.
Conclusion: This study showed that although there are numerous neonatal or maternal factors that can manifest with hearing impairment in the future, an initial routine hearing screening test is only a screening tool and failure of an initial routine test is not directly attributed to these predictors. However, further studies are needed to follow up the eight percent who failed the initial test to narrow down our true failed group. Also, prospective studies might potentially yield more accurate data and a larger population and use of a multicenter study group might increase sensitivity of study.
Black Power Movement as Depicted in Blakkasman (2018) Movie
Authors: Bukhori Muhammad Faruq , Laksono Arido 
Published: October 2022

America is a pluralistic country that often faces issues of racism and discrimination. This issue is often faced by African-Americans as one of the ethnic minorities. In this undergraduate thesis, I would like to analyze the Black Power Movement as depicted in the Blackkklansman movie using the sociology of literature approach by Abrams. Moreover, I also use an exponential approach to analyze the intrinsic elements in the movie. The result of the analysis shows that the Black Power movement occurs due to the white supremacy acts from the Ku Klux Klan members towards Blacks. As the result, the black community fought back by moving the masses of black people to carry out a revolutionary movement.Keywords: Blackkklansman; black power; discrimination; Ku Klux Klan; revolutionary movement
The Equivalence in The Translation of English Idiomatic Expression into Indonesian by Students of English Education Department University of Mataram
Authors: Sari Nilam , Arifuddin Arifuddin , Baharuddin Baharuddin 
Published: October 2022

The aims of this study are: 1) to find out frequently used types of equivalence by the seventh semester students of English Education Department at University of Mataram in translating English idiomatic expression into Indonesia according to Nida’s equivalence theory, and 2) to find out the problem faced by the English students in the translating of the idiomatic expression of English into Indonesia. This study used mixed-method. The participant of this study were from the seventh semester English students of University of Mataram. To collect the data, this study used two types of instruments: translation test and questionnaires. The research findings showed that among 240 datas of students translation result, 73,64% of the datas categorized as dynamic equivalence and only 5,85% of the datas categorized as formal equivalence. Furthermore, based on close-ended and open-ended questionnaires answers about students dificulty in the translating of the idiomatic expressions, it reveals that students faced difficulty in translating process for the cultural background diferences, minim exposure to idioms, and how the idioms were used. three strategies were available to students to use in encountering the difficulties in translating English idioms into Indonesian: 1) giving their selves more familiar to idioms through reading and using various medias, 2) paying more attention to the context which the idioms being served, 3) and looking for the meaning in dictionary or google. It could be infered that the most frequently used types of equivalence by the students was dynamic equivalence and the students still faced some problem in translating English idiomatic expression into Indonesia.Keywords: idiomatic expression; translation equivalence; difficulties
Behind the Scenes: Stories of the Global Women’s Breakfast
Authors: Kerton Francesca M. 
Published: October 2022

Abstract
The IUPAC Global Women’s Breakfast (GWB2022) was celebrated at over 400 events around the world on February 16, 2022. By all metrics, it was more successful than ever before but how are those measurements mirrored in individual experiences? During this International Year of Basic Sciences for Sustainable Development, the place of all people within science to make an impact will continue to be celebrated and we invite all scientists to join GWB2023 on February 14.
Cross-modal biometric fusion intelligent traffic recognition system combined with real-time data operation
Authors: Xu Wei , Zhai Yujin 
Published: October 2022

Abstract
Intelligent traffic recognition system is the development direction of the future traffic system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology into the entire ground traffic management system. It establishes a real-time, accurate, and efficient integrated transportation management system that plays a role in a wide range and all directions. The aim of this article is to integrate cross-modal biometrics into an intelligent traffic recognition system combined with real-time data operations. Based on the cross-modal recognition algorithm, it can better re-identify the vehicle cross-modally by building a model. First, this article first presents a general introduction to the cross-modal recognition method. Then, the experimental analysis is conducted on the classification of vehicle images recognized by the intelligent transportation system, the complexity of vehicle logo recognition, and the recognition of vehicle images with different lights. Finally, the cross-modal recognition algorithm is introduced into the dynamic analysis of the intelligent traffic recognition system. The cross-modal traffic recognition system experiment is carried out. The experimental results show that the intraclass distribution loss function can improve the Rank 1 recognition rate and mAP value by 6–7% points on the basis of the baseline method. This shows that improving the modal invariance feature by reducing the distribution difference between different modal images of the same vehicle can effectively deal with the feature information imbalance caused by modal changes.
Catalytic surface reaction on a vertical wavy surface placed in a non-Darcy porous medium
Authors: Roy Nepal Chandra 
Published: October 2022

Abstract
A mathematical model is developed to analyze the free convection flow induced by catalytic surface reaction on a vertical wavy surface embedded in a non-Darcy porous medium. The governing equations are transformed using a generalized transformation which are valid near to and far from the leading edge. We then solve the resulting equations employing finite difference method. A comparison between the present solutions and the results of a past study is made which provides a good agreement. Numerical results reveal that the wall temperature and the surface concentration are enhanced for higher heat release parameter. An increase in the amplitude of the wavy surface and the reactant consumption parameter causes a decrease in the wall temperature and the surface concentration. Due to the increase of the reduced Darcy number the wall temperature substantially becomes higher whereas the surface concentration diminishes. However, a converse characteristic is observed in the case of the activation energy parameter. The momentum, thermal and concentration boundary layers are significantly increased for higher values of the reduced Darcy number and the consumption reactant parameter. Contrary to this, the larger heat release parameter reduces the thicknesses of the momentum, thermal and concentration boundary layers.
Numerical simulation for generalized space-time fractional Klein–Gordon equations via Gegenbauer wavelet
Authors: Faheem Mo , Khan Arshad , Malik Muslim , Debbouche Amar 
Published: October 2022

Abstract
This paper investigates numerical solution of generalized space-time fractional Klein–Gordon equations (GSTFKGE) by using Gegenbauer wavelet method (GWM). The developed method makes use of fractional order integral operator (FOIO) for Gegenbauer wavelet, which is constructed by employing the definition of Riemann–Liouville fractional integral (RLFI) operator and Laplace transformation. The present algorithm is based on Gegenbauer wavelet jointly with FOIO to convert a GSTFKGE into a system of equations which is solved by using Newton’s technique. Additionally, the upper bound of error norm of the proposed method is calculated to validate the theoretical authenticity of the developed method. The comparison of numerical outcomes with the existing results in the literature and graphical illustrations show the accuracy and reliability of our method.
Molecular subclasses of preeclampsia characterized by a longitudinal maternal proteomics study: distinct biomarkers, disease pathways and options for prevention
Authors: Than Nándor Gábor , Romero Roberto , Györffy Dániel , Posta Máté , Bhatti Gaurav , Done Bogdan , Chaemsaithong Piya , Jung Eunjung , Suksai Manaphat , Gotsch Francesca , Gallo Dahiana M. , Bosco Mariachiara , Kim Bomi , Kim Yeon Mee , Chaiworapongsa Tinnakorn , Rossi Simona W. , Szilágyi András , Erez Offer , Tarca Adi L. , Papp Zoltán 
Published: October 2022

Abstract

Objectives
The heterogeneous nature of preeclampsia is a major obstacle to early screening and prevention, and a molecular taxonomy of disease is needed. We have previously identified four subclasses of preeclampsia based on first-trimester plasma proteomic profiles. Herein, we expanded this approach by using a more comprehensive panel of proteins profiled in longitudinal samples.

Methods
Proteomic data collected longitudinally from plasma samples of women who developed preeclampsia (n=109) and of controls (n=90) were available from our previous report on 1,125 proteins. Consensus clustering was performed to identify subgroups of patients with preeclampsia based on data from five gestational-age intervals by using select interval-specific features. Demographic, clinical, and proteomic differences among clusters were determined. Differentially abundant proteins were used to identify cluster-specific perturbed KEGG pathways.

Results
Four molecular clusters with different clinical phenotypes were discovered by longitudinal proteomic profiling. Cluster 1 involves metabolic and prothrombotic changes with high rates of early-onset preeclampsia and small-for-gestational-age neonates; Cluster 2 includes maternal anti-fetal rejection mechanisms and recurrent preeclampsia cases; Cluster 3 is associated with extracellular matrix regulation and comprises cases of mostly mild, late-onset preeclampsia; and Cluster 4 is characterized by angiogenic imbalance and a high prevalence of early-onset disease.

Conclusions
This study is an independent validation and further refining of molecular subclasses of preeclampsia identified by a different proteomic platform and study population. The results lay the groundwork for novel diagnostic and personalized tools of prevention.
Bayesian estimation of in-game home team win probability for college basketball
Authors: Maddox Jason T. , Sides Ryan , Harvill Jane L. 
Published: October 2022

Abstract
Two new Bayesian methods for estimating and predicting in-game home team win probabilities in Division I NCAA men’s college basketball are proposed. The first method has a prior that adjusts as a function of lead differential and time elapsed. The second is an adjusted version of the first, where the adjustment is a linear combination of the Bayesian estimator with a time-weighted pregame win probability. The proposed methods are compared to existing methods, showing the new methods are competitive with or outperform existing methods for both estimation and prediction. The utility is illustrated via an application to the 2012/2013 through the 2019/2020 NCAA Division I Men’s Basketball seasons.