bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of the China’s list of Ambulatory Care Sensitive Conditions (ACSCs): A Study Protocol
Authors: Wang Jianjian , Xu Dong Roman , Zhang Yan , Fu Hongqiao , Wang Sijiu , Ju Ke , Chen Chu , Yang Lian , Jian Weiyan , Chen Lei , Liao Xiaoyang , Xiao Yue , Wu Ruixian , Jakovljevic Mihajlo , Chen Yaolong , Pan Jay 
Published: November 2023

Abstract
Background
The hospitalization rate of ambulatory care sensitive conditions (ACSCs) has been recognized as an essential indicator reflective of the overall performance of healthcare system. At present, ACSCs has been widely used in practice and research to evaluate health service quality and efficiency worldwide. The definition of ACSCs varies across countries due to different challenges posed on healthcare systems. However, there is absence of a China’s list of ACSCs. This study aims to prospectively explore and develop the China’s list to inform evidence-based decision-making for optimizing the healthcare system.
Methods
To develop the list, we will combine the best methodological evidence available with real-world evidence, adopt a systematic and rigorous process and absorb multidisciplinary expertise. Specific steps include: (1) establishment of working groups; (2) generations of the initial list (review of already published lists, semi-structured interviews, calculations of hospitalization rate); (3) optimization of the list (evidence evaluation, Delphi consensus survey); and (4) approval of a final version of China’s ACSCs list. Within each step of the process, we will calculate frequencies and proportions, use descriptive analysis to summarize and draw conclusions, discuss the results, draft a report, and refine the list.
Discussion
Once completed, the China’s list of ACSCs can be used to comprehensively evaluate the current situation and performance of health services, identify flaws and deficiencies embedded in the healthcare system to provide evidence-based implications to inform decision-makings towards the optimization of China’s healthcare system. The experiences might be broadly applicable and serve the purpose of being a prime example for nations with similar conditions.
Highly accurate disease diagnosis and highly reproducible biomarker identification with PathFormer
Authors: Li Fuhai , Dong Zehao , Zhao Qihang , Payne Philip , Province Michael , Cruchaga Carlos , Zhang Muhan , Zhao Tianyu , Chen Yixin 
Published: November 2023

Abstract
Biomarker identification is critical for precise disease diagnosis and understanding disease pathogenesis in omics data analysis, like using fold change and regression analysis. Graph neural networks (GNNs) have been the dominant deep learning model for analyzing graph-structured data. However, we found two major limitations of existing GNNs in omics data analysis, i.e., limited-prediction/diagnosis accuracy and limited-reproducible biomarker identification capacity across multiple datasets. The root of the challenges is the unique graph structure of biological signaling pathways, which consists of a large number of targets and intensive and complex signaling interactions among these targets. To resolve these two challenges, in this study, we presented a novel GNN model architecture, named PathFormer, which systematically integrate signaling network, priori knowledge and omics data to rank biomarkers and predict disease diagnosis. In the comparison results, PathFormer outperformed existing GNN models significantly in terms of highly accurate prediction capability (~ 30% accuracy improvement in disease diagnosis compared with existing GNN models) and high reproducibility of biomarker ranking across different datasets. The improvement was confirmed using two independent Alzheimer’s Disease (AD) and cancer transcriptomic datasets. The PathFormer model can be directly applied to other omics data analysis studies.
An Overview of the Archaeological, Radiocarbonic and Palaeoclimatic Record at the Iberian Peninsula During the Middle to Upper Paleolithic Transition
Authors: Mayya Seba Sultan , Gomes Ana , Veiga-Pires Cristina , Connor Simon 
Published: November 2023

Abstract
The Iberian Peninsula is a significant region for studying the Middle to Upper Palaeolithic Transition (MUPT). Broadly speaking, this transition refers to the period when anatomically modern humans (Homo sapiens, AMH) first appeared in the archaeological record of Palaeolithic Europe and the later extinction of Neanderthals in Europe. The Iberian Peninsula is a significant region for studying the causes of the replacement of Neanderthals by Anatomically Modern Humans, as it was one of the last places where these Neanderthals lived. Many theories have been proposed to explain the disappearance of Neanderthals, ranging from competition with Homo sapiens to environmental factors, such as climate change. Here we explore the relationship of the replacement of the Neanderthal by AMH populations and its relationship with climate change, by providing an overview of the archaeological and climate records in Iberian Peninsula during the Middle to Upper Palaeolithic transition (MUPT). Through the use of a relational database (combining archaeological information and radiocarbon dates), Summed Probability of Calibrated Radiocarbon Dates (SPCD), paleoecological records, GIS and Spatial modelling, this chapter examines the timing of the distribution of last Neanderthals and the entrance and distribution of AMH and its populational fluctuations in Iberian periods of climate change.
Dietary poly-β-hydroxybutyrate improved the growth, non-specific immunity, digestive enzyme activity, intestinal morphology, phagocytic activity and disease resistance against Vibrio parahaemolyticus of Pacific white shrimp, Penaeus vannamei
Authors: Kim Suhyeok , Shin Jaebeom , Medagoda Nalin , Choi Sera , Park So Yun , Park Jeung-Yil , Lee Kyeong-Jun 
Published: November 2023

Abstract

This study assessed the effects of dietary supplementation of poly-β-hydroxybutyrate (PHB) on growth performance, feed efficiency, non-specific immunity, digestive enzyme capacity, phagocytic activity, hemocyte count, intestinal morphology and disease resistance against Vibrio parahaemolyticus of Pacific white shrimp (Penaeus vannamei). Six diets were prepared by supplementing graded levels of PHB at 0.00, 0.25, 0.50, 1.00, 2.00 and 4.00% (Con, P0.25, P0.5, P1.0, P2.0 and P4.0, respectively). Triplicate groups of 25 shrimps (initial body weight: 0.25 ± 0.01 g) per treatment were randomly assigned and fed an experimental diet for 56 days. Growth performance of shrimp was significantly improved by 1% dietary PHB supplementation. PHB-included diets fed shrimp showed significantly improved hepatopancreatic trypsin, chymotrypsin and pepsin activities. Villus height was significantly increased with dietary PHB supplementation and villus width was increased at a 1% inclusion level. P0.25, P0.5 and P4.0 groups significantly increased phenoloxidase activity and the P2.0 group significantly increased anti-protease activity compared to that in Con group. The survival of shrimp challenged against V. parahaemolyticus were higher in P0.5, P1.0 and P2.0 groups than in the Con diet. According to the above observations, the optimal dietary PHB supplementation level for maximum weight gain would be 1% for Pacific white shrimp.
Appraising peri-urban food production in Durban, South Africa, with Participatory Geographic Information Systems (PGIS)
Authors: SARDESHPANDE Mallika , Bangira Tsitsi , MATONGERA Trylee Nyasha , Cho Matilda Azong , Mabhaudhi Tafadzwanashe 
Published: November 2023

Abstract
Rapid urbanisation, particularly in the Global South, calls for more efficient and equitable food supply in urban and peri-urban areas. Peri-urban food production can be a source of affordable, fresh, and nutritious food, and can provide a departure from conventional forms of cropping. A number of social, ecological, and economic variables influence the feasibility of peri-urban food production. This study uses participatory mapping and geographic information systems (GIS) to assess these variables, and to map suitable spaces and crop configurations for peri-urban food production at three sites on the periphery of eThekwini metropolitan municipality (Durban) in South Africa. We find that land tenure and livelihood opportunities factor into socioeconomic preferences for peri-urban food production. Topography and soil quality are ecological factors that significantly influence feasibility of peri-urban food production, and access to water and roads also influence economic viability. Our study finds that while GIS techniques can identify land suitability, participatory mapping adds local fine-scale context to better inform decision-making and investment in peri-urban farming. Based on the social-ecological conditions at the three sites, we suggest specific configurations of locally adapted foods and farm design for peri-urban food production.
Analysis of the current situation and influencing factors of decision-making conflicts among alternative decision-makers in critically ill patients after cardiac surgery: a cross-sectional study
Authors: huai qiyang , shi yanan , zhang renjie , shao mei , yang lijuan 
Published: November 2023

Abstract
Objective This study aims to examine the prevailing state of decision-making conflict among alternative decision-mkers in postoperative critically ill cardiac surgery patients and analyze the factors that contribute to this conflict.Methods A convenience sampling method was employed to select 200 postoperative critically ill cardiac surgery patients and their substitute decision-mkers from a tertiary-level hospital in Shandong Province, between September 2023 and November 2023. The survey subjects were assessed using a general information questionnaire,family inpatient communication Survey, and the scale of the decisional engagement.Results The study found that substitute decision-mkers of postoperative critically ill cardiac surgery patients had a mean decision conflict scale score of (15.59 ± 8.58) and a standardized score of (24.36 ± 13.42). Among the substitute decision-mkers,7.5% had a medium level of decision conflict, while 51% had a high level of decision conflict. Correlation analysis revealed a negative correlation between the decision conflict level of alternative decision-mkers and the communication status of inpatient family members (r=-0.238, p < 0.01), as well as a negative correlation with the expectation level of participation in decision making (r=-0.195,p < 0.01);The results of the multiple linear regression analysis indicate that several factors significantly influenced the decisions made by substitute decision-mkers.These factors include whether the patient was admitted to the hospital for the first time, the decision maker's awareness of the patient's condition, the level of Decisional Engagement, and the communication status of the hospitalized patient's family members.Conclusion Decision-making conflicts among alternative decision-mkers in postoperative critically ill cardiac surgery patients are prevalent and influenced by various factors.
Real-Time ENSO Forecast Skill Evaluated Over the Last Two Decades, with Focus on Onset of ENSO Events
Authors: Ehsan Muhammad Azhar , L'Heureux Michelle , Tippett Michael , Robertson Andrew , Turmelle Jeffrey 
Published: November 2023

Abstract

This paper provides an updated assessment of the “International Research Institute for Climate and Society's (IRI) El Niño Southern Oscillation (ENSO) Predictions Plume". We evaluate 247 real-time forecasts of the Niño 3.4 index from February 2002 to August 2022 and examine multimodal means of dynamical (DYN) and statistical (STAT) models separately. Forecast skill diminishes as lead time increases in both DYN and STAT forecasts, with peak accuracy occurring post-northern hemisphere spring predictability barrier and preceding seasons. The DYN forecasts outperform STAT forecasts with a pronounced advantage in forecasts initiated from late boreal winter through spring. The analysis uncovers an asymmetry in predicting the onset of cold and warm ENSO episodes, with warm episode onsets being better forecasted than cold onsets in both DYN and STAT models. The DYN forecasts are found to be valuable for predicting warm and cold ENSO episode onsets several months in advance, while STAT forecasts are less informative about ENSO phase transitions.
On Farm Diversity and Genetic Erosion of Sweet potato [Ipomoea batatas (L.) Lam.] inHaramaya District, East Haraghe, Ethiopia
Authors: Adem Ibsa , Yusuf Zekeria , Chimdesa Meseret 
Published: November 2023

Abstract
Sweet potato [Ipomoea batatas (L.) Lam.] varieties can be distinguished by their flesh and skin colors (white, yellow, orange, and purple). Loss of crop diversity is a particular concern in centers of origin and secondary centers of diversity where varieties have evolved with high adaptability to the local environment as well as in developing countries where farmers rely on crop diversity for food security. Therefore, the present study was undertaken to assess on farm diversity and status of genetic erosion of sweet potato in Haramaya district, Ethiopia. The source of population for the study was sweet potato cultivating small holder farmers Haramaya district. Data were collected for similarity/ dissimilarity index, preference index, and genetic erosion. The result of preference index indicated the highest preference index (25.60) with preference rank 1st was recorded for BeelaBochol genotype as the least preference index (12.10) was recorded for BeelaBaleyso genotype. The highest similarity coefficient (0.80) was observed between Bachake and Maya Gudo followed by similarity coefficient value (0.75) between Maya Guddo and Khuro. Itwas found that the genetic integrity was found to be 88.9% as genetic erosion was 11.1%. The high genetic integrity implies little genetic erosion or loss of sweet potato varieties in the study area. The farmers’ cultivation and utilization of sweet potato varieties in the study area demonstrated that most of the farmers (90%) plant one (selected) variety for cultivation, and know less than 5 (< 5) varieties of sweet potato. About 144 (66%) of the respondents use intercropping system for sweet potato cultivation. The majority of respondents 212 (97%) observed loss of sweet potato varieties. In the study area, 180 (82%) of the respondent farmers suggested the use of their own seed source for planting. About 160 (73%) of the respondents suggested the cultivation of sweet potato as subsistence crop. The major constraints of sweet potato cultivation as suggested by the respondents were tiresome land preparation 80 (37%), lack of improved variety 56 (26%), land scarcity 50 (23%), and market demand 33 (15%). All respondents 219 (100%) suggested farmers intention to continue cultivation of sweet potato. It can be concluded from the result of the present study that farmers can identify and prefer sweet potato genotypes frequently using storage root yield and boiled quality.
Semantic Relational Extraction via Learning Syntactic Structural Representation
Authors: Éric Nguyen , Ari Tsuruoka 
Published: November 2023

Abstract
Leveraging distant supervision for relation extraction has emerged as a robust method to harness large text corpora, widely adopted to unearth new relational facts from unstructured text. Prevailing neural approaches have made significant strides in relation extraction by representing sentences in compact, low-dimensional vectors. However, the incorporation of syntactic nuances when modeling entities remains underexplored. Our study introduces a novel method for crafting syntax-aware entity embeddings to boost neural relation extraction. We start by encoding entity contexts within dependency trees through tree-GRU to generate sentence-level entity embeddings. We then apply both intra-sentence and inter-sentence attention mechanisms to distill entity embeddings at the sentence set level, considering every occurrence of the pertinent entity pair. The culmination of our methodology is the fusion of sentence and entity embeddings for relation classification. Our experiments on a benchmark dataset indicate that our approach harnesses the full potential of informative instances, thereby setting new benchmarks for relation extraction performance.
The effect of the incorporation of phosphor on the optoelectronic properties of InAs 0.75 Sb 0.250 ternary for optical telecommunications: DFT calculation
Authors: DJILI Amer , BENCHEHIMA Miloud , ABID Hamza 
Published: November 2023

Abstract

The super cell 16 atoms special quasi-random structures have been used, to investigate the structural, electronic and optical properties of InPxAsySb1−s−y quaternary alloys in zinc blende phase with a number of concentrations (1-x-y = 0.250) and x ranging from 0 to 0.750 in step of 0.125. The calculations were performed using density functional theory (DFT) as implemented under the full potential linearized augmented plane wave (FP-LAPW) method. We employed the local intensity (LDA) and generalized gradient approximation of Wu and Cohen (GGA-WC) to calculate the structural parameters. The two schemes (EV-GGA) and (TB-mBJ) were also used to describe the optoelectronic properties. The equilibrium structural parameters found are in good agreement with the previous results. Electronic results showed that InPxAsySb1−s−y quaternary alloys are a direct band gap semiconductor for all P concentrations. In addition, (TB-mBJ) results revealed that the increase in P content (x) did change the electronic band gap (Eg) from 0.475 eV for x = 0 to 1.106 eV for x = 0.750. The optical properties of InPxAsySb1−s−y quaternaries, including the dielectric function, optical conductivity, absorption coefficient and the complex refractive index were predicted and discussed in detail. The obtained results make these compounds very promising for optical telecommunications.
The impact of anesthesiology service accreditation on the incidence of postoperative hypothermia: A time series study
Authors: Menck Juliana Thomaz , de Oliveira Rohnelt Machado , Coelho Julio Cezar Uili , Stunitz Ana Carolina Locatelli 
Published: November 2023

Abstract
Background: Hospital and medical subspecialties accreditation programs evaluate institutions based on predetermined quality standards. Several indicators can be used to measure the quality of health. This study aimed to evaluate the effect of accreditation on postoperative hypothermia rate in an anesthesiology department.
Methods: This was a longitudinal, observational and retrospective study, with an interrupted time series design. The temperatures of patients in post-anesthetic recovery were analyzed between January 2021 and February 2023 with three cycles of plan-do-study-act interventions being carried out during this period. Mild and moderate hypothermia rates and monthly temperature means were evaluated using linear regression graphs to verify possible shifts in variables or trends.
Results: The data were collected from 20,149 participants. It was observed an increase in level (0.3 degrees, P=0.005) and in trend (0.2 degrees/month, P=0.02) in monthly temperature mean along the accreditation program. The rate of moderate hypothermia fell by a mean of 3.6%/month (P = 0.001) getting close to zero (P=0.03). Mild hypothermia was initially more resistant but showed a significant downward trend after the third intervention cycle decreasing by 9%/month (P = 0.01).
Conclusion: This study shows a beneficial effect of accreditation on postoperative hypothermia rate in an anesthesiology service.
High-Resolution Plasma Metabolomics and Thiamine Status in Critically Ill Adult Patients
Authors: Gundogan Kursat , Nellis Mary M. , Ozer Nurhayat T. , Ergul Serap S. , Sahin Gulsah G. , Temel Sahin , Yuksel Recep C. , Teeny Sami , Alvarez Jessica A. , Sungur Murat , Jones Dean P. , Ziegler Thomas R. 
Published: November 2023

Abstract
Background and Aim:
Thiamine (Vitamin B1) is an essential micronutrient and a co-factor for metabolic functions related to energy metabolism. We determined the association between whole blood thiamine pyrophosphate (TPP) concentrations and plasma metabolites using high resolution metabolomics in critically ill patients.
Methods
Cross-sectional study performed in Erciyes University Hospital, Kayseri, Turkey and Emory University, Atlanta, GA, USA. Participants were ≥ 18 years of age, with an expected length of ICU stay longer than 48 hours, receiving furosemide therapy for at least 6 months before ICU admission.
Results
Blood for TPP and metabolomics was obtained on the day of ICU admission. Whole blood TPP concentrations were measured using high-performance liquid chromatography (HPLC). Liquid chromatography/mass spectrometry was used for plasma high-resolution metabolomics. Data was analyzed using regression analysis of TPP levels against all plasma metabolomic features in metabolome-wide association studies. We also compared metabolomic features from patients in the highest TPP concentration tertile to patients in the lowest TPP tertile as a secondary analysis. We enrolled 76 participants with a median age of 69 (range, 62.5–79.5) years. Specific metabolic pathways associated with whole blood TPP levels, using both regression and tertile analysis, included pentose phosphate, fructose and mannose, branched chain amino acid, arginine and proline, linoleate, and butanoate pathways.
Conclusions
Plasma high-resolution metabolomics analysis showed that whole blood TPP concentrations are significantly associated with metabolites and metabolic pathways linked to the metabolism of energy, amino acids, lipids, and the gut microbiome in adult critically ill patients.
Edge Server Placement and Allocation Optimization: A Tradeoff for Enhanced Performance
Authors: Ghasemzadeh Ardalan , Aghdasi Hadi S. , Saeedvand Saeed 
Published: November 2023

Abstract
Considering the expansion of the Internet of Things (IoT) and the volume of data and user requests, Mobile Edge Computing (MEC) is considered a novel and efficient solution that puts decentralized servers at the network's edge. This has the effect of lowering bandwidth demand and transmission latency. Optimal edge server placement and allocation, as the first stage of MEC, can improve end-user service quality, edge computing system utility, and cost and energy consumption. The majority of previous edge server placement studies have employed only one objective or developed a fitness function by the weighted sum method for optimization. Usually, using a single optimization objective without considering other objectives cannot yield the desired results for a problem with a multi-objective design. On the other hand, assigning weights to objectives can lead to losing optimal points in non-convex problems and selecting improper weights. Therefore, in this paper, we propose a multi-objective solution for the positioning and allocation of edge servers for MEC services based on the NSGA-II algorithm. In this regard, we identify two workload variance and latency reduction objectives with extensive evaluations. The experimental evaluation of the results using real-world data reveals that solutions based on the NSGA-II yield superior convergence and diversity of Pareto front points compared to Multi-Objective Particle Swarm Optimization (MOPSO), Multi-Objective Biogeography Based Optimization (MOBBO), and Adaptive Weighted Sum Method (AWSM). Additionally, it effectively mitigates workload variance on servers and exhibits an average latency reduction of 8.79% in comparison to the adaptive weighted-sum approach, 9.19% in comparison to MOPSO, and 0.28% in comparison to MOBBO.