bluuebunny/crossref_metadata_2025_split huggingface dataset:
Industry-University Collaboration and Commercializing Chinese Corporate Innovation
Authors: Hsu David H. , Hsu Po-Hsuan , Zhou Kaiguo , Zhou Tong 
Published: October 2024

We construct a comprehensive data set of medium- and large-sized industrial firms and research universities in China and examine how Chinese firms’ commercialization of their technologies is related to their experience in industry-university collaboration (IUC). We propose that firms’ IUC experience constitutes an inimitable complementary asset that facilitates their technology commercialization. Our empirical analyses show that firms generate more new product sales and produce more product-oriented patents when they have more patents that are coassigned to universities or when they have more academic publications coauthored with university staff in the past. Such a relation is strengthened when firms have higher absorptive capacity, when firms are in industries that depend more on basic science, and when firms are located closer to their collaborating universities. Additional tests point out four channels through which firms’ IUC experience benefits their technology commercialization: knowledge acquisition, talent recruiting, direct technology transfers, and technological complementarity. This paper was accepted by Sridhar Tayur, entrepreneurship and innovation. Funding: D. H. Hsu acknowledges research support from the Mack Institute for Innovation Management at the University of Pennsylvania. P.-H. Hsu acknowledges the Yushan Fellow Program by the Ministry of Education and National Science and Technology Council, Taiwan [MOE-108-YSFMS-0004-012-P1, NSTC 113-2410-H-007-008-MY3, MOST 109-2628-H-007-001-MY4] and the E.SUN Academic Award. K. Zhou acknowledges research support from the Major Project of the National Social Science Fund of China [Grant 20&ZD103], the National Natural Science Foundation of China [Grant 71991474] and the 111 Project of China [Grant D23001]. T. Zhou acknowledges research support from the National Natural Science Foundation of China [Grant 72003206]. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2022.00788 .
Ranking and Contextual Selection
Authors: Keslin Gregory , Nelson Barry L. , Pagnoncelli Bernardo , Plumlee Matthew , Rahimian Hamed 
Published: October 2024

Context-Sensitive Simulation-Based Decisions When There Is No Time to Simulate Stochastic simulation is a powerful tool for discovering system design decisions that are the best possible (optimal) when averaged over real-world uncertainty. However, in applications such as personalized medicine and web content optimization, even better decisions can be made if they are tailored to specific, contemporaneous covariate information, such as patient health history and user reading habits. Unfortunately, in these and similar applications, there is no time to perform a refined simulation optimization. In “Ranking and Contextual Selection,” Keslin, Nelson, Pagnoncelli, Plumlee, and Rahimian use off-the-shelf simulation optimization methods to create a database of covariates and associated decisions that form a covariate-to-decision classifier and an upper confidence bound on its optimality gap when applied to covariates not in the database. A realistic example of web page assortment optimization is presented using a data set from Yahoo!.
Assessing the Impact of N Fertilizer on Soybean Yield and Quality Using a Modeling Approach
Authors: Figueiredo Moura da Silva Evandro Henrique , Boote Kenneth J. , Hoogenboom Gerrit , Soares Andrade Júnior Aderson , Antunes de Souza Henrique , Marin Fabio Ricardo 
Published: October 2024

HighlightsSimulating the effect of high N fertilizer rates with the CSM-CROPGRO-Soybean model for Brazil.Simulated and observed plant tissue N accumulation increased with an increase in N fertilizer rates.N use efficiency decreased with N fertilization on soybeans under long-term scenarios.Both model simulations and observations indicate only a small response in crop yield to high N fertilization.Abstract. Soybean [Glycine max (L.)] is one of the main sources of food protein in the world. To achieve a high yield and grain protein concentration, soybean requires a large amount of nitrogen (N). Many studies have evaluated N fertilization in soybean, with the hypothesis that symbiotic N fixation may not be sufficient to supply N for high-yielding soybean. This study aimed to evaluate the performance of the CSM-CROPGRO-Soybean model with field data to determine the impact of N fertilizer on soybean and explore long-term scenarios. The experiments consisted of a combination of available water management and N fertilizer levels over eight crop seasons. After calibration and evaluation, the CSM-CROPGRO-Soybean model was used to explore the soil and plant N balance. We also applied the model to explore different N fertilization rates in long-term scenarios. The results showed that the model was able to simulate soybean growth with a very good agreement for all sites (D-statistic ranging from 0.63 to 0.99). The observed and simulated crop yield gains from N fertilization were small and not proportional to the amount of N fertilizer applied. The model underestimated the effect of N fertilizer on grain protein concentration increment, but there was a consistent trend towards an increase in protein concentration observed in measured data. Simulations of soil inorganic N balance suggested very high losses of N by volatilization for urea-N fertilization treatments. The long-term scenarios showed that using N rates above 600 kg ha-1 is potentially inappropriate, and a higher crop N use efficiency was obtained with no N fertilizer. Keywords: Ammonia volatilization, Crop yield, Crop N use efficiency, CROPGRO-Soybean model, Grain protein concentration, Nitrogen balance.
Soil Erosion Research Studies in the Age of Changing Climate
Authors: Flanagan Dennis C. , Mankin Kyle , Thompson Anita M. 
Published: October 2024

HIGHLIGHTSSoil erosion research has evolved over a century to address critical societal needs.This collection features 12 articles from the 2023 ASABE Soil Erosion Research Symposium.Links to Symposium proceedings and presentations are provided.Soil erosion modeling, methods, and measurement advances are highlighted from the collection.Abstract. This article introduces a collection of 12 articles featured from a decennial international American Society of Agricultural and Biological Engineers (ASABE) soil erosion research symposium in Aguadilla, Puerto Rico, in January 2023. Over 130 engineers and scientists met to discuss current soil erosion issues, research techniques, and erosion prediction technologies. In addition to the meeting presentations and proceedings (116 abstracts or papers available online), twelve articles were published in a special collection in the ASABE journals. Information on the ASABE Soil Erosion Research Under a Changing Climate international symposium and details on the special collection of articles are provided in this paper. Articles are aggregated into soil erosion-related topical areas of modeling, methods, and measurement, and article highlights are presented. A common theme was the need for standardized measurements and methods to compare processes and impacts across geographic and climate regions and to assess model performance and prediction for extension of methods to other watersheds. Keywords: Erosion control, Hydrology, Sediment, Sedimentation, Soil conservation, Soil erosion modeling, Soil pollution, Water quality.
Error analysis based on a tunable wave plate polarization interferometric imaging spectrometer
Authors: Tang Feng , Zhang Biyun , Zhang Chunmin , Ma Zhen , Ke Ke , Wang Yanqiang 
Published: October 2024

Interference imaging spectroscopy combines modern imaging technology with spectral technology, holding significant importance for object imaging and spectral detection. This article introduces the principle of an adjustable wave plate polarization interferometric imaging spectrometer. The example design specifications are set for an observation wavelength range of 450–780 nm and a maximum resolution of 2 nm at 450 nm, with a 0.5 in detector as the base for calculating the specific dimensions of the Soleil–Babinet compensator. An investigation was conducted on the issues of nonuniform sampling, as well as three types of mechanical errors: flatness, wedge angle tolerance, and optical axis orientation accuracy. Emphasis was placed on discussing the impact of these errors on the instrument’s optical path difference and spectral reconstruction accuracy. This research provides theoretical guidance for the design and engineering of this miniaturized imaging spectrometer.
The shifting landscape of private healthcare providers before and during the COVID-19 pandemic: Lessons to strengthen the private sectors engagement for future pandemic and tuberculosis care
Authors: Widarna Rodiah , Afifah Nur , Djunaedy Hanif Ahmad Kautsar , Sassi Angelina , Vasquez Nathaly Aguilera , Oga-Omenka Charity , Salindri Argita Dyah , Lestari Bony Wiem , Pai Madhukar , Alisjahbana Bachti 
Published: October 2024

Introduction
COVID-19 pandemic changed many aspects of healthcare services and deliveries, including among private healthcare providers (i.e., private healthcare facilities [HCFs] and private practitioners [PPs]). We aimed to compare the spatial distribution of private providers and describe changes in characteristics and services offered during and before the COVID-19 pandemic, and explore the tuberculosis (TB) and COVID-19-related services offered by the private sector in Bandung, Indonesia.

Methods
A cross-sectional study with historical comparison was conducted in 36 randomly selected community health centers areas (locally referred to as Puskesmas) in Bandung, Indonesia, during the COVID-19 pandemic from 5th April 2021 – 27th December 2021. Data pertaining to before the COVID-19 pandemic was abstracted from a similar survey conducted in 2017 (i.e., INSTEP study). We obtained latitude and longitude coordinates of private healthcare providers and then compared the geographical spread with data collected for INSTEP study. We also compared characteristics of, and services provided by private healthcare providers interviewed during the COVID-19 pandemic with those previously interviewed for INSTEP study. Differences were summarized using descriptive and bivariate analyses.

Results
From April–December 2021, we surveyed 367 private HCFs and interviewed 637 PPs. Compared to INSTEP study data, the number of operating HCFs was reduced by 3% during the COVID-19 pandemic (401 vs. 412 before COVID-19), although we observed increases in laboratory service (37.8% increase), x-ray service (66.7% increase), and pharmacy (18.1% increase). Among a subset of private HCFs managing patients with respiratory tract infection symptoms, a quarter (60/235, 25.3%) indicated that they had to close their facilities in response to the emerging situation during the COVID-19 pandemic. For PPs, the number of practicing PPs was reduced by 7% during the COVID-19 pandemic (872 vs. 936 before COVID-19). Interestingly, the number of practicing PPs encountering patients with TB disease increased during the COVID-19 pandemic (42.9% vs. 35.7% before COVID-19, p = 0.008).

Conclusion
This study confirmed that the COVID-19 pandemic adversely impacted health care service deliveries in private sectors, largely marked by closures and shortened business hours. However, the increased service capacities (laboratory and pharmacy), as well as significant increase in the number of patients cared for TB disease by PPs during the COVID-19 pandemic, made a more compelling case to further the implementation of public-private mix model for TB care in Indonesia.
Time to major adverse drug reactions and its predictors among children on antiretroviral treatment at northwest Amhara selected public hospitals northwest; Ethiopia, 2023
Authors: Tsega Bantegizie Senay , Habtamu Abebe , Wubie Moges , Telayneh Animut Takele , Endalew Bekalu , Habtegiorgis Samuel Derbie , Birhanu Molla Yigzaw , Kebede Worku Misganaw , Bishaw Keralem Anteneh 
Published: October 2024

Background
Adverse drug reaction is one of the emerging challenges in antiretroviral treatment. Determining the incidence rate and predictors among children on antiretroviral treatment (ART) is essential to improve treatment outcomes and minimize harm. And also, evidence regarding the time to major adverse drug reactions and its predictors among children on antiretroviral treatment is limited in Ethiopia.

Objective
This study aimed to assess the time to major adverse drug reaction and its predictors among children on antiretroviral treatment at selected public hospitals in Northwest Amhara, Ethiopia, 2023.

Method
A retrospective cohort study was conducted among 380 children on antiretroviral treatment who enrolled from June 27, 2017, to May 31, 2022. Data was collected using a structured data extraction checklist. Data were entered into Epidata 4.6 and analyzed using STATA 14. The incidence rate of major adverse drug reactions was determined per person/months. The Cox proportional hazards regression model was used to identify predictors of major adverse drug responses. A p-value less than 0.05 with a 95% CI was used to declare statistical significance.

Result
The minimum and maximum follow-up time was 6 and 59 months, respectively. The study participants were followed for a total of 9916 person-months. The incidence rate of major adverse drug reactions was 3.5 /1000 person–months. Advanced clinical stages of HIV/AIDS (III and IV) [adjusted hazard ratio = 7.3, 95% CI: 2.74–19.60)], poor treatment adherence [adjusted hazard ratio = 0.33, 95% CI: 0.21–0.42], taking antiretroviral treatment twice and more [adjusted hazard ratio = 3.43, 955 CI: (1.26–9.33)] and not taking opportunistic infection prophylaxis [adjusted hazard ratio = 0.35, 95% CI: 0.23–0.52)] were predictors of major adverse drug reactions.

Conclusion
The incidence rate of major adverse drug reactions among children on antiretroviral treatment was congruent with studies in Ethiopia. Advanced clinical stages of HIV/AIDS, poor treatment adherence, taking antiretroviral treatment medications twice or more, and not taking opportunistic infection prophylaxis were predictors of major adverse drug reactions.
Real-world visual acuity outcomes for patients with naïve neovascular age-related macular degeneration treated with aflibercept, ranibizumab, or bevacizumab in the Republic of Korea
Authors: Lee Yeo Jin , Kang Seungbum , Won Jae Yon , Roh Young Jung , Ra Ho , Lee Mee yon , Park Sung Pyo , Jee Dong Hyun 
Published: October 2024

Background
To compare the visual outcomes of different anti-vascular endothelial growth factor (VEGF) drugs, including aflibercept, ranibizumab, and bevacizumab, in a real-world setting in Korea.

Methods
We collected data from patients who received monotherapy using one of these three anti-VEGF drugs as naïve treatment after being diagnosed with neovascular age-related macular degeneration. The number of injections and visual acuity (VA) outcomes of each cohort were obtained and pairwise comparisons were performed using propensity score matching.

Results
A total of 254 aflibercept, 238 ranibizumab, and 282 bevacizumab treatment-naïve eyes were included. The mean VA change at 3 years for all cohorts combined was -1.8 letters, and the mean number of injections was 9.4. In the direct comparison of the three drugs, the mean change in the VA letter score was +2.0 letters for aflibercept and -11.7 letters for bevacizumab (P < 0.001). The number of aflibercept injections was significantly higher than the number of bevacizumab injections (P = 0.002). The visual outcomes for aflibercept and ranibizumab were +4.7 letters and -1.9 letters, respectively, and comparable results were obtained (P = 0.13). The VA outcomes for ranibizumab and bevacizumab were also not significantly different (P = 0.09). The numbers of injections for aflibercept, ranibizumab, and bevacizumab were 10.8, 6.7, and 8.8, respectively. Significant differences were observed between the injection frequencies comparisons of aflibercept and ranibizumab and ranibizumab and bevacizumab (P < 0.001 and P = 0.002, respectively).

Conclusions
In the Korean clinical medical environment, which included various confounding factors, especially socioeconomic ones, the aflibercept VA outcome was significantly better than that of bevacizumab, and aflibercept injections were the most numerous. These real-world data imply that the drug effect as well as the environment in which the drug can be sufficiently used affected patient final VA scores.
FAKTOR-FAKTOR YANG MEMPENGARUHI PAJAK DAERAH KOTA SEMARANG
Authors: Aji Firman Bayu , SBM Nugroho 
Published: October 2024

Taxes are a source of regional income. Semarang City in terms of PAD has tax revenues that are still volatile. Judging from the existing tax potential, the City of Semarang has quite good potential but has not been explored effectively and efficiently. This study aims to analyze the factors that affect Semarang City local taxes with the independent variables of PDRB, inflation, number of industries and population density.The data used in this research is secondary data. The analysis model used is multiple linear regression analysis. Multiple linear regression analysis using the classical assumption test includes normality test, multicollinearity test, autocoleration test, heteroscedasticity test, and hypothesis testing through the F test, t test and coefficient of determination (R2).The results of the analysis of this study indicate that the GRDP and inflation variables have a significant positive effect, while the number of industries and population density variables have a positive and insignificant effect. The analysis of the F test results shows that the variables of GRDP, inflation, population density and the number of visitors to tourism objects simultaneously influence local tax revenues. The Adjusted R square value of 87 percent of the independent variable can affect government revenue, while 13 percent of local tax revenue is influenced by variables other than the variables used in the study.
ANALISIS VALUASI EKONOMI DALAM UPAYA PENINGKATAN KUALITAS RUANG TERBUKA HIJAU DI KOTA SEMARANG (Studi Kasus : Taman Indonesia Kaya)
Authors: Fitra Fitra , Sasana Hadi 
Published: October 2024

The study of the Taman Indonesia Kaya case study aims to: (1) identify people's perceptions of the existence of RTH Taman Indonesia Kaya, (2) estimate the economic value of the availability of RTH Taman Indonesia Kaya, (3) analyze the factors that affect the willingness to level of Willingness To Pay (WTP) visitors towards improving the quality of RTH Taman Indonesia Kaya. Primary data and secondary data are used to calculate the WTP value. Primary data were obtained from 62 respondents using Accidental Sampling and key persons. Secondary data were obtained from relevant agencies. Descriptive statistical analysis is used to answer the first aim of this research, in-depth interview is used to the second aim of this research and the Contingent Valuation Method with the Bidding Game technique is used to answer the third aim of this research.The results of the research using questionnaires showed the perception of visitors to Taman Indonesia Kaya, respondents rated quite good and had the potential to be developed with an average value of 6.5 out of 10 on all criteria. The results of the Contingent Valuation Method show that there are 90.32% who are willing to pay (Willingness to Pay), with an estimated total WTP value of Rp.396,833,500 per year. All of the community’s willingness (WTP) factors have a significant effect, except for marital status. Based on these results, it can be used as a reference for the development strategy of Taman Indonesia Kaya and further development in efforts to increase Green Open Space in Semarang City.
ANALISIS PENGARUH MITIGASI RISIKO LIKUIDITAS DAN PENYALURAN KREDIT TERHADAP PERTUMBUHAN EKONOMI DAN STABILITAS HARGA INDONESIA TAHUN 2010.1 – 2019.4
Authors: Qinthara M. Naufal , SBM Nugroho 
Published: October 2024

This study aims to analyse the transmition nonetary policies are able to encourage the economy and how their effects on price stability in the short and long term. This study uses secondary time series data of mitigating the risk of liquidity, credit, GDP, and inflation of Indonesia from 2010Q1 to 2019Q4. The hypothesis testing of this research used the Vector Error Correction Model.Based on the results of the VECM estimation, there is a negative and significant relationship between the Secondary Reserve Requirement on GDP. However, the interbank money market variable has a positive effect on GDP in the long run. The volume of bank lending has a positive effect on GDP, but can turn around to be negative in the long run. In addition, with inflation as the dependent variable, the Rupiah interbank money market has a negative and significant effect on inflation in the short and long term. the interbank foreign exchange money market has a positive relationship to inflation in the long run and the level of bank lending has a positive effect on inflation in the short and long term.
PENGARUH IPM, PERTUMBUHAN EKONOMI DAN PENGANGGURAN TERHADAP KEMISKINAN KABUPATEN/KOTA DI PROVINSI JAWA TENGAH TAHUN 2017-2019
Authors: Handayani Nuraeni 
Published: October 2024

Central Java Province is a province with a poverty rate percentage that ranks second in Java after DIY, but the poverty rate in Central Java Province is still quite high because it is still above the national poverty rate. This study aims to analyze the effect of the Human Development Index (HDI), economic growth and unemployment rates in districts/cities in Central Java Province in 2017-2019.Based on the data used, in this study using panel data regression analysis with the fixed effect method which was tested using the Eviews 9.0 application. The data used in this study is secondary data. The independent variables used in this study are the Human Development Index (HDI), economic growth and unemployment rates, while the dependent variable used is the poverty rate in 35 regencies/cities in Central Java Province in 2017-2019.The results of this research that the Human Development Index (HDI) had a positive effect on the poverty rate in districts/cities in Central Java Province in 2017-2019. Variables of economic growth and unemployment had no significant effect on the poverty rate. The variables of the Human Development Index (HDI), economic growth and the unemployment rate together have a significant effect on poverty in Central Java Province in districts/cities in Central Java Province in 2017-2019. Keywords: poverty, human development index (HDI), economic growth, unemployment rate
PENGARUH PENDAPATAN ASLI DAERAH (PAD) DAN ALOKASI DANA DARI PUSAT TERHADAP TINGKAT KEMISKINAN DI PROVINSI DI YOGYAKARTA TAHUN 2015-2020
Authors: Lindrianti Nur Fita 
Published: October 2024

DI Yogyakarta Province is a province with the highest percentage of poverty in Java. This study aims to analyze the effect of Regional Original Income and Fund Allocation from the Center which consists of General Allocation Funds, Special Allocation Funds, and Revenue Sharing Funds on the poverty level in the Province of DI Yogyakarta in 2015-2020. Based on the data, This research is using panel of data after testing on Eviews 12.0, The most precise analysis is using panel data regression method. This research is using secondary data which consist of The real income profit, general fund, allocation fund, and sharing profit of 5 districts / city in Yogyakarta province 2015 - 2020. The result of this research is the allocation fund has positive effect on the poverty level, while the Regional Original Revenue, General Allocation Fund and Revenue Sharing Fund had no significant effect on the poverty level. Keyword : Poverty, the real income in districts, allocation fund, the special allocation income, sharing profit