bluuebunny/crossref_metadata_2025_split huggingface dataset:
Poisoning patterns and factors associated with treatment outcomes among patients: A case study of Kiambu county hospitals, Kenya
Authors: Githinji James Maina , Mungoma Michael , Fossa Kinara , Ngugi Jesse , Ondiek Samwel , Juttla Prabhjot , Odongo Alfred Owino , Ndiritu Moses , Mwancha-Kwasa Magoma 
Published: November 2023

Background Rising poisoning incidences worldwide, primarily in developing countries, remain ambiguous due to paucity of data and poison centres. This study evaluates patterns and factors causing poor outcomes in Kiambu County, Kenya. Methods A records-based retrospective cross-sectional study of poisoning cases who presented to nine facilities between June 2015 and July 2020 was conducted. The data collected was analysed through descriptive, bivariate, and multivariate logistic regression using STATA version 13. Results Kiambu county has a minimum prevalence of poisoning of 3.2%. A total of 434 cases were studied. Most cases (85.5%) resulted from acute exposures, with 75% being intentional. Pesticides (61.1%), paraffin (18.7%), alcohol (6.5%), and pharmaceutical drugs (4.4%) were the primary poisons used. 3.9% didn't fit these categories, while 5.5% remained unknown. Common presentations at admission were vomiting (35.3%) and unconsciousness (21.6%). Pesticides were responsible for 72.0% of deaths. Sequelae occurred in 7.8%, full but delayed recovery in 17.6%, and 6.0% died. The largest cluster of total cases was found in Thika town sub-county. It also contained the primary clusters of alcohol and pesticide poisoning. Being male (AOR 4.577, 95% CI [1.244–16.842]) was significantly associated with adverse outcomes. Regardless of the poison, the majority 78.8% made a full recovery. Conclusion Due to the lack of standardized poisoning data tools, patient records lack vital information reflecting the quality of care that the patient received, reflecting a lack of structures to collect, analyse and utilise poisoning data for decision making. This study underpins the need for the establishment of a PC in Kiambu county, Kenya.
Pathogenic mechanisms and therapeutic implications of extracellular matrix remodelling in cerebral vasospasm
Authors: Hu Ziliang , Deng Xinpeng , Zhou Shengjun , Zhou Chenhui , Shen Menglu , Gao Xiang , Huang Yi 
Published: November 2023

AbstractCerebral vasospasm significantly contributes to poor prognosis and mortality in patients with aneurysmal subarachnoid hemorrhage. Current research indicates that the pathological and physiological mechanisms of cerebral vasospasm may be attributed to the exposure of blood vessels to toxic substances, such as oxyhaemoglobin and inflammation factors. These factors disrupt cerebral vascular homeostasis. Vascular homeostasis is maintained by the extracellular matrix (ECM) and related cell surface receptors, such as integrins, characterised by collagen deposition, collagen crosslinking, and elastin degradation within the vascular ECM. It involves interactions between the ECM and smooth muscle cells as well as endothelial cells. Its biological activities are particularly crucial in the context of cerebral vasospasm. Therefore, regulating ECM homeostasis may represent a novel therapeutic target for cerebral vasospasm. This review explores the potential pathogenic mechanisms of cerebral vasospasm and the impacts of ECM protein metabolism on the vascular wall during ECM remodelling. Additionally, we underscore the significance of an ECM protein imbalance, which can lead to increased ECM stiffness and activation of the YAP pathway, resulting in vascular remodelling. Lastly, we discuss future research directions.
Interplay between autotrophic and heterotrophic prokaryotic metabolism in the bathypelagic realm revealed by metatranscriptomic analyses
Authors: Srivastava Abhishek , De Corte Daniele , Garcia Juan A. L. , Swan Brandon K. , Stepanauskas Ramunas , Herndl Gerhard J. , Sintes Eva 
Published: November 2023

Abstract
Background
Heterotrophic microbes inhabiting the dark ocean largely depend on the settling of organic matter from the sunlit ocean. However, this sinking of organic materials is insufficient to cover their demand for energy and alternative sources such as chemoautotrophy have been proposed. Reduced sulfur compounds, such as thiosulfate, are a potential energy source for both auto- and heterotrophic marine prokaryotes.

Methods
Seawater samples were collected from Labrador Sea Water (LSW, ~ 2000 m depth) in the North Atlantic and incubated in the dark at in situ temperature unamended, amended with 1 µM thiosulfate, or with 1 µM thiosulfate plus 10 µM glucose and 10 µM acetate (thiosulfate plus dissolved organic matter, DOM). Inorganic carbon fixation was measured in the different treatments and samples for metatranscriptomic analyses were collected after 1 h and 72 h of incubation.

Results
Amendment of LSW with thiosulfate and thiosulfate plus DOM enhanced prokaryotic inorganic carbon fixation. The energy generated via chemoautotrophy and heterotrophy in the amended prokaryotic communities was used for the biosynthesis of glycogen and phospholipids as storage molecules. The addition of thiosulfate stimulated unclassified bacteria, sulfur-oxidizing Deltaproteobacteria (SAR324 cluster bacteria), Epsilonproteobacteria (Sulfurimonas sp.), and Gammaproteobacteria (SUP05 cluster bacteria), whereas, the amendment with thiosulfate plus DOM stimulated typically copiotrophic Gammaproteobacteria (closely related to Vibrio sp. and Pseudoalteromonas sp.).

Conclusions
The gene expression pattern of thiosulfate utilizing microbes specifically of genes involved in energy production via sulfur oxidation and coupled to CO2 fixation pathways coincided with the change in the transcriptional profile of the heterotrophic prokaryotic community (genes involved in promoting energy storage), suggesting a fine-tuned metabolic interplay between chemoautotrophic and heterotrophic microbes in the dark ocean.
A Cultural Perspective on Prosocial Development
Authors: Köster Moritz , Schuhmacher Nils , Kärtner Joscha 
Published: November 2023

Anthropological studies and recent evidence from cross-cultural psychology suggest considerable variations in the way prosocial behavior is conceptualized and embedded in social interactions across cultures. Important questions are which aspects of different ecosocial contexts might explain these variations and how these aspects influence prosocial development throughout ontogeny. Here, building on the ecosocial model of culturally informed development (Keller, 2007), we hypothesize two prototypical developmental pathways towards prosocial behavior. In relational contexts, i.e., rural areas of non-Western countries, social interactions and the concept of prosociality is guided by interpersonal responsibilities. Conversely, in autonomous contexts, i.e. urban middle-class settings in Western countries, social interactions and the concept of prosociality is guided by an emphasis on personal choice. Furthermore, we point out three perspectives for future cross-cultural research on prosocial development. It is essential (1) to further investigate the cultural influences on prosocial development, (2) to understand the mechanisms of cultural transmission in different contexts, and (3) to identify the motivational processes underlying early prosocial behavior. We conclude that prosocial development can only be fully understood also taking into account a cultural perspective. In particular, future cross-cultural research may lead to a better understanding of the complex interplay between phylogenetic and ontogenetic factors underlying prosocial development.
Ostracizing Group Members Who Can (or Cannot) Control Being Burdensome
Authors: Wesselmann Eric D. , Williams Kipling D. , Wirth James H. 
Published: November 2023

Ostracism–excluding and ignoring someone–occurs cross-culturally in humans. Previous research suggests that groups often use ostracism to punish burdensome members in order to 1) motivate the members to change undesirable behavior and 2) ultimately protect the group from these members. We present data from two studies that manipulate the presence of a burdensome member during an online group interaction and attributional information about the member’s controllability over the burden. Participants played an online game in which one of their group members either played slowly (burdensome) or similarly to the other members (non-burdensome). We manipulated this group member’s perceived Internet connection status (good vs. poor). A slow player with a good connection could presumably control their behavior but one with a poor connection could not. Participants ostracized a slow-playing group member regardless of connection status, but status did have some influence on participants’ self-reported motives for ostracism.
Penelitian IMPLEMENTASI KEBIJAKAN PROGRAM WAJIB BELAJAR 9 TAHUN SIDOARJO JAWA TIMUR
Authors: Anggraini Alfi Febrilia 
Published: November 2023

Abstract
in general, this research has been able to answer the research objectives based on the results of the research and discussion that have been described previously, it can be concluded as follows: The implementation of the 9-year compulsory education policy has been going as desired, it's just that the implementation of compulsory education has not been optimal according to what is desired because there is one indicator that has not been said to be optimal in terms of communication, due to socialization carried out by the District Education Office Sidoarjo has not been optimal for the community, so that many people and some teachers do not understand the 9-year compulsory education policy held by the Sidoarjo Regency Government In general, this research has been able to answer the research objectives based on the results of the research and discussion that have been described previously, it can be concluded as follows:
The implementation of the 9-year compulsory education policy has been going as desired, it's just that the implementation of compulsory education has not been optimal according to what is desired because there is one indicator that has not been said to be optimal in terms of communication, due to socialization carried out by the District Education Office Sidoarjo has not been optimal for the community, so that many people and some teachers do not understand the 9-year compulsory education policy held by the Sidoarjo Regency Government
Research on the Construction of Multimodal Integration Resource Library for Online Teaching and Learning for Adult Education
Authors: Tong Tingting 
Published: November 2023

Abstract
This paper aims to construct a resource base for adult online education using a multimodal fusion basis. The fusion processing methods of knowledge resources incorporate temporal and non-temporal feature learning. This paper proposes a process for constructing a multimodal subject knowledge space that can aid educators in organizing and presenting multimodal teaching content effectively. Also, the operation process of each major functional module of the adult online education resource library, including the online teaching process, online learning process and online resource production process, is studied in detail. Finally, the performance test of optimizing small file storage, the performance test of de-duplication of redundant data of learning resources and the stress test were conducted on the constructed resource library. The study concluded that the resource memory occupancy of the computer class was reduced by 0.35 after the de-duplication process, and in the stress test, the login response time was less than 8 seconds, and the average CPU utilization of the database server was <50%.
Research on Image Recognition Methods Based on Deep Learning
Authors: Xu Wenqing , Li Weikai , Wang Liwei 
Published: November 2023

Abstract
In this paper, deep learning is used to study image recognition techniques. Firstly, the image recognition process is structured, the YOLOv4 network framework is constructed, the features are extracted using the PANet reinforcement network, and the image overlap is extracted using the loss function. Then, we make an improved architecture ACDNet algorithm based on YOLOv4 and set the main function of the ACDNet model. Finally, the accuracy of image recognition under different algorithms and the recognition effect evaluation of the ACDNet algorithm are tested, respectively. The study shows that the image recognition accuracy of the ACDNet algorithm is located in the first of the three algorithms, with the highest accuracy of 98.16%, which is good and effective for image recognition and classification. The accuracy of ACDNet in the training set of plant image recognition is 99.34%, which is good for classification and recognition performance.
Emotional Expression and Information Communication in English Texts Based on Artificial Intelligence Technology
Authors: Hao Jingbo , Ding Yifang 
Published: November 2023

Abstract
This paper firstly researches English text emotion expression and information communication, classifies English text emotion expression and information communication according to the human emotion-value relationship, and summarizes the characteristics of English emotion expression and information communication. Secondly, using artificial intelligence technology, it is proposed to construct an analysis model for English text emotion and information communication using the BiLSTM neural network. To deal with the characteristics of English text quickly and efficiently, it is necessary to encode the emotional information of English text, and based on encoding, the BiLSTM neural network is applied to extract the emotional features of English text and solve the problem of the loss of emotional features through the loss function. Then, the crawler tool is used to obtain the dataset from the Chinese English module under the MOOC of Chinese universities, and the evaluation indexes are set according to the model’s performance, followed by the experimental analysis of the English text emotion expression and information conveyance. The results show that compared with the original CNN, LSTM, and T-LSTM, the BiLSTM-based neural network performs better in the task of text emotion expression and information conveyance, with the accuracy rate staying above 0.925, and the effect on the English dataset is a bit better than that on the Chinese dataset. This study aims to enhance English teaching and communication between Chinese and foreign cultures.
Functional Expansion and Developmental Scenarios of Management Accounting Based on Data Analytics Modelling
Authors: Jiang Hui 
Published: November 2023

Abstract
This paper explores the theory and practice characteristics of management accounting, expands upon the function of management accounting, and outlines the business process of strategic management accounting. Then, it constructs the functional effect analysis model of management accounting, establishes the causality analysis model of the structural equation, explores the markov property of the equation, and uses multiple linear regression equations to estimate the regression parameters. Finally, it analyzes the correlation between the overall level of strategic management accounting, the application level of management accounting, and the horizontal integration level of management accounting and enterprise performance. According to regression analysis, the three dimensions have a significant positive correlation with enterprise performance at the 1% level. The structural equation analysis indicates that the path coefficient of management accounting on performance is 0.388, which is significant at a 1% level. The application of management accounting can have a positive impact on the performance level of enterprises, as shown. This research promotes the innovative practice of management accounting and is of great significance for the high-quality development of enterprises.
Application of Modularized Data Optimization Algorithm in Assessing Teaching Effectiveness of Civics Classroom in Colleges and Universities
Authors: Zhang Zhenrong 
Published: November 2023

Abstract
In this paper, firstly, starting from the Civics classroom teaching, we constructed a teaching effect assessment model based on modularized data optimal algorithm to modularize the assessment of classroom teaching effect. The optimal modularized data algorithm is obtained by obtaining the optimal configuration of TLBO’s modularized data, and the teaching status is assessed using this algorithm. Finally, the teaching effect of University B is taken as an example to analyze the application of its effect assessment model. The results show that after using the teaching effect assessment model, the highest increase in the percentage of compliance is in the area of “taking notes in class”, with an increase of 0.12, and the highest decrease in the percentage of non-compliance is in the area of “reviewing after class”, with a decrease of 0.09. The data show that the evaluation model for teaching effectiveness constructed in this paper can improve students’ learning autonomy, effectiveness, and satisfaction with the course.
Construction of a characteristic price model for urban real estate based on characteristic price models
Authors: Zheng Yunfeng 
Published: November 2023

Abstract
The study of real estate, especially the study of real estate prices, has always been the focus of scholars. Therefore, this paper constructs a real estate characteristic price model based on the rural land system. Firstly, the impact of the rural land system on rural social production relations is studied, and the field of application of the characteristic price model is proposed. Then, it constructs the urban real estate characteristic price model through the characteristic price method under the real estate batch estimation method and the spatial characteristic method. Finally, the correlation variables are selected to test the variance chi-square and autocorrelation of the real estate characteristic price model. The study shows that the majority of the observations of the characteristic price model are randomly distributed in the interval of [-2,2], presenting a more concentrated effect. The discriminant coefficient R
2 and the adjusted discriminant coefficient R
2 of the model are 0.5754 and 0.5175, respectively, and the model fits well.
Construction and demonstration of early-warning evaluation index system of poverty return from the perspective of rural revitalization
Authors: Fang Jing 
Published: November 2023

Abstract
In order to achieve comprehensive poverty eradication, this paper analyzes the general structure of the poverty return early warning mechanism and the operation idea under the perspective of rural revitalization and explores the methods and systems of emergency decision-making for poverty return early warning. At the same time, based on the dynamics and scientific quantifiability, we have constructed the poverty return early warning indicator system, established the alarming degree of poverty return early warning, and combined the principal component analysis method and fuzzy comprehensive evaluation method. The empirical design is carried out on the basis of the design of the poverty return warning evaluation index system; the weight coefficients are derived from the principal component factors, and the fuzzy comprehensive score is calculated. The results show that the overall poverty return risk score is S={0.21, 0.27, 0.19, 0.18, 0.15}, and the risk early warning fuzzy evaluation value is 0.27, which is 87.4 points, and belongs to mild risk.
Research on the Construction Path of Vocational Education Virtual Simulation Training Base Combining Multi-source Data
Authors: Hao Yongzhi , Liu Shuangdong 
Published: November 2023

Abstract
This research firstly analyzes the significance of the construction of a virtual simulation training base for vocational education and takes modern shipping as an example to explore the path of the construction of training. Secondly, through point cloud data processing, combined with the improved SAC-IA algorithm for multi-source data fusion processing, three-dimensional modeling of the training base can be achieved. Finally, a virtual simulation training platform for vocational education is designed by combining the key technologies and equipment for platform development, and the accuracy of 3D modeling with multi-source data fusion and the application of the platform are analyzed. The consequence shows that the significance of learning interest P=0.03<0.05, the significance of technical support P=0.01<0.05, and the significance of learning situation P=0.00<0.05. The virtual simulation training platform for vocational education, based on this study, can improve the learning satisfaction of higher vocational students.
A taxonomy for deep cerebral cavernous malformations: subtypes of basal ganglia lesions
Authors: Catapano Joshua S. , Rumalla Kavelin , Srinivasan Visish M. , Winkler Ethan A. , Benner Dimitri , Lawrence Peter M. , Larson Keil Kristen , Lawton Michael T. 
Published: November 2023

OBJECTIVE
Anatomical taxonomy is a practical tool that has successfully guided clinical decision-making for patients with brain arteriovenous malformations and brainstem cavernous malformations (CMs). Deep CMs are similarly complex lesions that are difficult to access and highly variable in size, shape, and position. The authors propose a novel taxonomy for deep CMs in the basal ganglia based on clinical presentation (syndromes) and anatomical location.

METHODS
The taxonomy system was developed and applied to an extensive 2-surgeon experience over 19 years (2001–2019). Lesions involving the basal ganglia were identified and subtyped on the basis of the predominant superficial presentation identified on preoperative MRI. Three subtypes of basal ganglia CMs were defined: caudate (31, 57%), putaminal (16, 30%), and pallidal (7, 13%). Neurological outcomes were assessed using the modified Rankin Scale (mRS). Postoperative mRS scores ≤ 2 were defined as a favorable outcome, and scores > 2 were defined as a poor outcome. Clinical and surgical characteristics and neurological outcomes were compared among subtypes.

RESULTS
Fifty-four basal ganglia lesions were identified in 54 patients. Each basal ganglia CM subtype was associated with a recognizable constellation of neurological symptoms. The most common symptoms at presentation were severe or worsening headaches (25, 43%), mild hemiparesis (13, 24%), seizures (7, 13%), and dysmetria or ataxia (6, 11%). Patients with caudate CMs were the most likely to present with headaches and constitutional symptoms. Patients with putaminal CMs were the most likely to present with hemibody sensory deficits and dysmetria or ataxia. Patients with pallidal CMs were the most likely to present with mild hemiparesis and visual field deficits. A single surgical approach was preferred (> 80% of cases) for each basal ganglia subtype: caudate (contralateral transcallosal-transventricular, 28/31, 90%), putaminal (transsylvian-anterior transinsular, 13/16, 81%), and pallidal (transsylvian supracarotid-infrafrontal, 7/7, 100%). Most patients with follow-up had stable or improved mRS scores postoperatively (94%, 44/47); mRS scores of > 2 at final follow-up did not differ among the 3 basal ganglia subtypes.

CONCLUSIONS
The study confirms the authors’ hypothesis that this taxonomy for basal ganglia CMs meaningfully guides the selection of surgical approach and resection strategy. Furthermore, the proposed taxonomy can increase the diagnostic acumen at the patient bedside, help identify optimal surgical approaches, enhance the consistency of clinical communications and publications, and improve patient outcomes.