bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between Platelet Count and Admission of Intensive Care Unit in Maternal Sepsis
Authors: Huang Yuwen , Lv Cheng-tian , Wang Yin-ling , Gao Yuanmei 
Published: August 2023

Abstract
Background: Maternal sepsis is a major cause of gestational morbidity worldwide. Due to physiological adjustment after pregnancy, it is challenging to identify whether there is association between platelet count (PLT/PC) and severity of maternal sepsis. Therefore, we aimed to find out the correlation between PLT/PC and Intensive Care Unit (ICU) admission and risk threshold of PLT/PC in maternal sepsis while deterioration.
Methods: We retrospectively distinguished 144 patients who were diagnosed as maternal sepsis in Third Affiliated Hospital of Guangzhou Medical University from September 4, 2018, to May 11, 2022. Information about demographic, laboratory, maternal and fetal outcome were collected through electronic medical record system in our hospital. Subjects were divided into three groups according to PLT/PC. To compare outcomes between them, a multivariate logistic regression analysis was conducted.
Results: There were 20.8% (30/144) patients whose PLT/PC was ≤100 (×109/L), 83.3% of them (25/30) were admitted into ICU. 51.4% (74/144) of subjects had a PLT/PC of 100-200 (×109/L), 62.2% (42/74) of them gained the admission of ICU. After adjusting for confounders, in the PLT/PC of ≤100 group, the odd of admission into ICU was more 16.8 times than in the reference group (PLT/PC of 100-200) (p＜0.05).
Conclusions: We should be warned whether there were deterioration when the PLT/PC was ＜100×109/L in maternal sepsis.
WITHDRAWN: A Multi-Objective Optimization Model for Energy Allocation and Petroleum Products Distribution in Green Supply Chains (Case Study of IRAN National Petroleum Corporation MIANDOB)
Authors: Attaria Mahdi Yousefi Nejad , Ejlaly Babak , Ghahvechia Fatemeh 
Published: August 2023

Abstract

The oil industry plays an important role in global energy demand. Oil and other fossil fuels have been a major cause of environmental and global warming for decades. Many industries need oil as a major energy source, and it is important to minimize the environmental impact of oil( minimizing greenhouse gas (GHG)) and maximize its benefits Petroleum Revenue Management Act (PRMA). The environmental impact of the oil industry is the emission of gases such as carbon dioxide, sulfur dioxide, and nitrogen oxide, which directly and indirectly affect the environment.So it is important, creating a green supply chain network(GSCN) model that pursues several goals.This study presents a multi-objective optimization model for energy allocation and petroleum product distribution in green supply chains.For this purpose a multi-objective mixed-integer programming (MIP) model is formulated to develop. The proposed model is designed a green supply chain(GSC) to reduce oil company costs and greenhouse gas(GHG) emissions under uncertain demand. We solve the proposed model with GAMS and present a case study to IRAN National Petroleum Corporation(INPC) MIANDOAB demonstrate the applicability and exhibit efficacy of the proposed model.
Insight into energy production and consumption, carbon emissions and agricultural residues resources available for energy and environmental benefits in China
Authors: Ji Li-Qun 
Published: August 2023

Abstract
China is encountering two big challenges: supply shortage of energy especially liquid fuels and serious environmental problems especially increasing CO2 emissions. Agricultural residues are readily available and inexpensive renewable resources in China and it can be expected to reduce China’s reliance on fossil fuels and CO2 emissions through the use of agricultural residues. This study conducted a systematic study of energy production and consumption, CO2 emissions, and agricultural residues available for energy and environmental benefits. The gap between the domestic production and consumption of energy in China became larger and larger, and China’s energy consumption structure was dominated by coal over the past thirty years. The increasing energy consumption especially coal consumption were strongly linked the increasing CO2 emissions in China. As the largest agricultural country in the world, China has abundant agricultural residues, most of which were utilized as soil amendments, animal feeds, substrates in mushroom cultivation, and industrial materials. The usable agricultural residues for energy were estimated to be about 226.9 million tons in 2020. If those usable agricultural residues would be converted into bio-oil and biochar through pyrolysis, it could not only replace about 102 million tons of crude oil, but also sequestrate about 209 million tons of CO2-equivalent. It is expected that the results from this study can promote the application of agricultural residues in potential of energy production and carbon sequestration.
Relationship between intertwin delivery interval and postpartum hemorrhage in cesarean section: a seven-year retrospective cohort study
Authors: Lan Yehui , Pan Shuangjia , Zhou Yujia , Chen Baoyi , Lu Xinyue , Hua Ying 
Published: August 2023

Abstract

Background: Intertwin delivery interval (ITDI) is defined as the interval time between the delivery of the first and the second twin and may be controlled by obstetricians during cesarean deliveries. Several studies have demonstrated the relationship between ITDI and the adverse neonatal outcomes during vaginal births. However, few studies have explored the relationship between ITDI and maternal outcomes in cesarean deliveries. We hypothesized that ITDI may influence the occurrence and the development of postpartum hemorrhage by affecting uterine contraction. The purpose of this study was to investigate the relationship between ITDI and postpartum hemorrhage, and between ITDI and the maternal adverse outcomes that related to the blood loss in women with twin pregnancies delivered by cesarean section.
Methods: A retrospective cohort of 1649 pregnant women with diamniotic twins was recruited from 2016 to 2022. They were categorized into the short ITDI group (0 min < ITDI ≤ 3 min), the medium ITDI group (3 min < ITDI ≤ 6 min) and the long ITDI group (6 min < ITDI ≤ 9 min) according to the range of ITDI of the eligible individuals (0-9 min). The primary outcome including PPH and the secondary outcomes including uterotonic administration, emergency operation, severe maternal morbidity and total blood loss ≥ 1500 ml were compared among the groups, and the relationship between ITDI and these outcomes was explored.
Results: Little differences were found in the rates of postpartum hemorrhage, emergency operation, severe maternal morbidity and total blood loss ≥1500 ml among the three groups (P > 0.05). No relationship was found between ITDI and postpartum hemorrhage (P > 0.05). Women with long ITDI were at a decreased risk of uterotonic administration (adjusted OR = 0.369, 95% CI = 0.228-0.597, P < 0.001).
Conclusions: Although the long ITDI did not reduce the incidence of postpartum hemorrhage during the cesarean delivery, the uterotonic administration was decreased though appropriately prolonged ITDI.
PET-CT as an Early Detection Method for Tuberculosis: A Systematic Review and Meta-Analysis
Authors: Yayan Josef , Rasche Kurt , Franke Karl-Josef , Windisch Wolfram , Berger Melanie 
Published: August 2023

Abstract

This meta-analysis aims to provide a deep analysis of the use of an imaging technique that combines positron emission tomography (PET) and computed tomography (CT) as a potential early detection method for tuberculosis (TB). Tuberculosis remains a significant global health challenge, and early detection is crucial for effective treatment and control. PET-CT offers unique advantages in the detection and characterization of TB lesions. This meta-analysis discusses the current literature, including the methodologies, results, and implications of using PET-CT in the early diagnosis of tuberculosis. The analysis of the studies revealed that the sensitivity of PET-CT as a potential method for the early detection of TB was 82.6%.
Proximal Policy Optimization (PPO)-Based Resource Allocation for Energy Harvesting Industrial Wireless Sensor
Authors: Li Rongzhen , Xu Lei , Tang Chengming , Wang Ping , Liu Wanli , Gu Junjie , Cai Zhicheng , Jiang Rui 
Published: August 2023

Abstract
For the purpose of overcoming the challenges of charging wireless sensors in the complicated industrial environment, researchers are concentrating more and more on sensor networks that can harvest energy.This paper looks at a wirelessly powered industrial sensor network where each sensor harvests energy from a specific radio frequency (RF) energy source and uses it to transmit data to a receiver.Two working modes are discussed of in this paper.One is the frequency division multiplexing (FDM) working mode, where the sensor simultaneously transmits data over orthogonal frequency bands while harvesting RF energy.Time division multiplexing (TDM), which divides each time slot into two successive intervals, is the second working mode.Data is transmitted and energy is harvested in the same frequency band, but at distinct intervals.Because the channel condition and energy harvesting process are unpredictable, an efficient resource allocation algorithm is required for the sensors.We propose a novel resource allocation algorithm based on reinforcement learning.The proposed algorithm achieves continuous resource allocation and is applicable for continuous states by using Proximal Policy Optimization (PPO).We also utilize entropy regularization, online normalization of state, reward scaling, and advantage normalization to improve the performance of resource allocation algorithm in real-world scenarios.In both FDM and TDM working modes, the proposed algorithm outperforms the greedy algorithm and random algorithm in terms of long-term throughput, according to the results of numerical simulations.
Paper 1: What is the environmental footprint of a dental practice; A Life Cycle Analysis
Authors: Duane Brett , Steinbach Inge 
Published: August 2023

Abstract
Introduction:
Growing awareness of environmental sustainability is essential. The IPCC's report stresses urgent carbon reductions to limit global warming to 1.5°C. The NHS in all four countries of the UK aims to be net-zero. Dental practices must prioritize sustainability for public health. This paper uses Life Cycle Analysis (LCA)where possible to study the dental practices' environmental footprint.

Methodology:
LCA methodology was used where possible to calculate the carbon footprint of a full-time dental clinic operating 220 days/year. Ecoinvent database and OpenLCA software were used to calculate GHG emissions, normalized factors, and DALYs. Attributional and spend-based approaches were used to analyze procurement items.

Results:
Compared with our 2015 paper, the 2023 carbon footprint, which used more current impact factors shows reduced water use emissions and increased total waste emissions. Staff travel and patient travel continues to significantly impact the carbon footprint. 99% of an average dental practice's health impact is from climate change.

Discussion:
Addressing waste and promoting low-carbon transport within the dental practice is crucial. Procurement's impact requires detailed analysis. Normalized scores highlight the environmental impact compared to an average person.

Conclusion:
The carbon footprint of a dental practice was updated using more current impact factors, to reinforce the high contribution of travel within the dental CFP, with an increase in the CFP of waste, and a reduction in the CFP of water
Effects of interdisciplinary teaching on student learning and healthcare-giving competence: A mixed methods study
Authors: Yang Bao-Huan , Lo Kao-Wen , Li Yuh-Shiow , Chao Kuo-Yu 
Published: August 2023

Abstract

Background
Interdisciplinary collaboration is known to foster professional innovation and enhance student learning across different domains. However, the research on the effectiveness of interdisciplinary teaching in pediatric nursing education and its evaluation methods is limited. Therefore, this study aimed to examine the effectiveness of incorporating game-based learning from the Department of Childcare and Education into therapeutic play courses in pediatric nursing education for students’ learning and healthcare-giving competence.
Methods
We used a mixed methods study with pre-test/post-test quantitative analyses and a descriptive qualitative analysis of students’ reflection journals. Data were collected between August 2019 and July 2020 to gauge course effectiveness. Quantitative data obtained from the questionnaires were analyzed using a t-test, correlation, and regression analysis. Qualitative data were analyzed using content analysis. One hundred and three second-year students enrolled in a four-year nursing program. Students attended classes in university classrooms and served learning in a kindergarten or hospital in Northern Taiwan.
Results
Implementing interdisciplinary teaching in the therapeutic play course resulted in significant improvement in students’ knowledge, abilities, attitudes, and social service outcomes as measured by post-test scores. Furthermore, the scores on the Service-Learning Questionnaire indicated a significant increase in communication, problem-solving, knowledge application, and cross-cultural competence. Integrating instruction to improve problem-solving skills and knowledge application predicts student learning outcomes. Qualitatively, students reflected on integrating different learning areas, communication, problem-solving, and practical knowledge skills.
Conclusions
Interdisciplinary teaching effectively stimulates thinking among nursing students and enhances their knowledge, abilities, and attitudes toward therapeutic play, benefiting children’s health. Integrating social service with interdisciplinary instruction allows students to be physically exposed to each child's unique challenges and needs, enhancing their communication, knowledge application, and problem-solving. Students can blend knowledge and skills through integrated learning, which is crucial for career development.
Trial Registration:
N/A. It was a survey on educational activities.
Biomass and metabolite production via hairy root culture using different genotypes of Panax ginseng
Authors: Nguyen Van Binh , Kim Min Jung , Vo Ngoc Linh Giang , Lee Yun Sun , Jayakodi Murukarthick , Park Hyun-Seung , Mohanan Padmanaban , Kang Kyo Bin , Ryu Byeol , Park Eun Jin , Park Tae Kyu , Yang Tae-Jin 
Published: August 2023

Abstract
Panax ginseng is an important medicinal plant containing many pharmacologically valuable ginsenosides, the biosynthesis of which is regulated by complex metabolic pathways. In vitro tissue culture is an alternative way to produce ginseng root biomass and metabolites. The hairy root production via transformation using root inducing plasmid (Ri plasmid) of Agrobacterium rhizogenes would be a useful metabolic engineering tool for P. ginseng. Here, we investigated the transformation efficiency and biomass production in five ginseng genotypes. Of these genotypes, the ‘Yunpoong’ cultivar, and the local landrace ‘Ganghwa’ had the highest transformation efficiencies of 66.11% and 65.00%, respectively. The biomass production of transgenic hairy roots was 1.5–2.1 times faster than that of non-transgenic adventitious roots without hormone supplementation. Various ginsenosides such as Rg1, Rf, Rh1, Rb1, Rb2, Rd, F2, and Rg3, were present at similar or higher levels in the hairy roots compared with the contents in adventitious roots. Further, the ginsenoside contents of cultivated roots were similar to those cultured in a bioreactor. Our results thus provide the basic information to metabolic engineering of ginseng for the in vitro production of ginsenosides.
A Systematic Evaluation of Time of Concentration (TC) Models in a Predominantly Agrarian Catchment of Southeastern Nigeria
Authors: Nnaji Chidozie Charles , Siwobi Tochukwu Raphael 
Published: August 2023

Abstract
Time of concentration (Tc) is a parameter in runoff estimation, used to study and design different types of hydraulic structures in watersheds. Any error in Tc calculation leads to an inaccurate estimation of the discharge, which can lead to over-sizing or under-sizing of designed facilities that can have great economic and environmental consequences. Therefore, choosing the correct method to estimate Tc for a specific catchment is of great importance. This study was aimed at comparing the applicability of fifteen carefully selected equations of time of concentration to Ifite Ogwari Catchment in Anambra State Nigeria. The catchment was first delineated in QGIS and all the requisite parameters for estimating the time of concentration as per the selected equations determined. Afterwards the selected equations were employed to obtain the Tc values for each sub-catchment. The calculated values of Tc were then subjected to exploratory statistical analysis and sensitivity analysis. Results showed that the Temez, Haktanir & Sezen and Chow equations gave the most representative of values of times of concentration of the sub-catchments with 100% of all Tc values obtained using these equations fell within the inclusion criteria of median ± 0.5 SD while returning the median Tc three times each out of eleven catchments. The Pasini and Sheridan models were the worst performing of all the fifteen equations evaluated with all the Tc values calculated using these equations fall outside median ± 0.5 SD and median ± SD. The Pasini and Sheridan models generally showed signs of gross Tc overestimation such that the values of Tc obtained using these two equations are about 3 to 4 times higher than the median values. Sensitivity analyses indicate that 82% of the equations consider the longest flow path as the most important catchment parameter while the equations of Dooge and Pilgrim & Mc Dermont consider catchment area as the most important catchment parameter. Slope was the least important parameter in all fifteen equations investigated for application in the study area.
Understanding the organisation and delivery of health service following the repatriation of South Sudanese refugees from the West Nile districts in Uganda
Authors: Komakech Henry , Atuyambe Lynn , El-Jardali Fadi , Orach Christopher Garimoi 
Published: August 2023

Abstract
Low-and-middle-income countries (LMICs) face overwhelming challenges providing health services to their populations, and even more for provision of health services to displaced populations. Little is known about how health services are organized and delivered to displaced populations in these countries especially following repatriation.
Objective
To examine the organization and delivery of health services following the repatriation of South Sudanese refugees in Uganda from three west Nile districts of Arua, Adjumani, and Moyo.
Methods
We conducted a qualitative case study in three West Nile refugee hosting districts of Arua, Moyo, and Adjumani. We used the World health Organization Health System Framework focusing on four blocks: health services, financing, medicines, and supplies and human resources. We conducted in-depth interviews with 32 purposefully selected respondents representing health service managers, district civil leaders, staff from local government and international aid agencies, and health service providers across primary, secondary, and tertiary levels of care. Content analysis was conducted.
Results
Following repatriation, the District Health Teams in the three districts assumed overall responsibility for planning, management, and provision of health services. Health service delivery was based on an integrated model. Health facilities provided comprehensive health services based on a decentralized framework in all the three districts. In addition, health services were available in most areas except for former refugee settlements where facilities were either closed or relocated. Post repatriation, the main source for health financing was government funding through the Primary Health Care grant with limited support from aid agencies. Districts, however, faced several challenges in health service delivery including shortage of medicines and essential supplies, inadequate health workers, and poor infrastructure.
Conclusion
The repatriation of refugees affected health services delivery in the refugee affected districts notably reduction in financial resources, availability of skilled human resources, equipment and as well as closure of some health facilities. Key stakeholders should plan and prepare for refugee repatriation and put in place mechanisms to support the continuity of health services delivery in refugee affected settings. Further research to examine health systems adaptability and resilience following repatriation is recommended.
Three-Dimensional Covalent Organic Frameworks with nia Nets for Efficient Separation of Benzene/Cyclohexane Mixtures
Authors: Fang Qianrong , Chang Jianhong , Chen Fengqian , Li Hui , Suo Jinquan , Zheng Haorui , Zhang Jie , Wang Zitao , Zhu Liangkui , Valtchev Valentin , Qiu Shilun 
Published: August 2023

Abstract
The synthesis of three-dimensional (3D) covalent organic frameworks (COFs) with highly connected building blocks presents a significant challenge. In this study, we report two novel 3D COFs with the nia topology, named JUC-641 and JUC-642, by introducing planar hexagonal and triangular prism nodes for the first time. The resulting materials display high crystallinity, excellent thermal/chemical stability, a through-hole structure, and a large specific surface area. Notably, our adsorption studies and breakthrough experiments reveal that both COFs exhibit exceptional separation capabilities, surpassing previously reported 3D COFs and most porous organic polymers, with a separation factor of up to 2.02 for benzene and cyclohexane. Additionally, dispersion-corrected density functional theory analysis suggests that the outstanding performance of these 3D COFs can be attributed to the incorporation of highly aromatic building blocks and the presence of extensive pore structures. Consequently, this research not only expands the diversity of COFs but also highlights the potential of functional COF materials as promising candidates for environmentally-friendly separation applications.
Lithium chloride treatments in free flying honey bee colonies: efficacy, brood survival and within colony distribution
Authors: REIN Carolin , BLUMENSCHEIN Marius , TRAYNOR Kirsten , ROSENKRANZ Peter 
Published: August 2023

Abstract
The efficacy of various Lithium Chloride (LiCl) applications in eradicating the parasitic mite Varroa destructor in honey bee colonies was investigated, with a specific focus on its impact on brood development. In broodless colonies (3 weeks post queen caging), the highest mite mortality rate of 98% was achieved with a 9-day treatment of 2.5 kg of 50 mM LiCl fondant candy. A shorter 5-day treatment with 2 kg of 50 mM LiCl candy resulted in a mite mortality rate of 77.5%. In colonies with brood, a repeated short-term application of 4*0.5 kg 50 mM LiCl candy yielded an efficacy of 88%. LiCl led to a removal of the first reared brood after release of the queen. However, no long-term effects on colony growth were observed, and the colonies successfully overwintered. Additionally, the study demonstrated that Lithium is rapidly distributed among the bees of a colony within 2 days, yet only low concentrations were detected in stored food samples. This suggests that the bees efficiently absorb and distribute LiCl within the colony. The harvested honey in the following spring revealed a lithium concentration of 0.1–0.2 mg/kg, which is below naturally occurring lithium levels in honey. Based on these findings, LiCl can be considered an effective and easy-to-apply acaricide in broodless colonies, and even in colonies with brood, it had no long-term effects on colony survival. Further research may be necessary to determine the optimal treatment period for achieving an efficacy over 95%.