bluuebunny/crossref_metadata_2025 huggingface dataset:
Bibliometrics of gastric cancer prediction models
Authors: Gao Fei , Wang Xiaohan , Xifeng Fu , Sun Jingchao
Published: May 2024

Background: Bibliometric analysis highlights the key topics and publications in gastric cancer prediction. This paper analyzes the manuscripts in the field of gastric cancer (GC) prediction, guiding clinical work and prevention of GC. Methods: Using a search strategy, we retrieved research articles related to GC prognosis from the WOS core database: TS=((gastric cancer OR stomach cancer) AND (survival rate OR survival analysis OR prognosis) AND (predict model)). We set the language to English, the document type to article and review, and completed the search on July 1, 2023. We obtained 1598 relevant articles, and two researchers screened the search results again, excluding irrelevant, misclassified, and retracted articles. Any controversial articles were reviewed by a third researcher to make the final decision on the required literature. We finally selected 1056 articles, excluding 542 articles, and extracted the required data from the WOS database for analysis. The extracted database included: title, publication year, author, country, institution, citation count, journal, keyword, and reference. We used R (4.3.0) to load the R package (bibliometrix) for bibliometric analysis.
Results: The 1056 articles came from 273 sources (journals, books, etc.), and 3661 authors conducted relevant research on GC prognosis models. Oncology Frontiers published the most articles (N=72), and Gastric Cancer Journal had the most citations (N=1130). The publication time span ranged from 1991 to 2023, with an average annual growth rate of 13.31%. The number of publications increased from 2017, with a sharp increase from 2020 to 2023. The five countries with the most publications were China (n = 826), Japan (n = 62), Korea (n = 47), USA (n = 42), Italy (n = 19) and 1998 (n = 10). China had the most citations (N=9595), and USA had the highest average citation per article (44.9 times). The most common topic was GC survival (n=236), followed by expression (n=209).
Conclusion: Multiple GC prediction models in this study describe the science of predicting GC incidence and prognosis. This work provides the most influential references related to GC prediction and serves as a guide for citable papers.
Analysis of factors related to prolonged midazolam action: A multicenter, case-control study
Authors: Yano Takaaki , Watanabe Shinichi , Mori Yuto , Yamashita Noboru , Sakamoto Yuya , Oda Shinji , Hidaka Noriaki , Otsuka Takashi , Tanaka Mamoru
Published: May 2024

Background
Benzodiazepine midazolam is characterized by a rapid onset of action and a short half-life and is used for deep sedation in critically ill patients; however, hepatic and renal dysfunction, obesity, and prolonged use of midazolam are reported to prolong midazolam action. A few studies have investigated the association between midazolam use and hypoalbuminemia in critically ill patients. Therefore, this study aimed to investigate the effects of patient background on the prolonged action of midazolam by focusing on previously reported factors and albumin levels.
Methods
A total of 196 patients aged ≥ 18 years who were admitted to the University Hospital and Matsuyama Shimin Hospital intensive care unit between January 2015 and May 2022 and were administered midazolam continuously for ≥ 24 h were enrolled. Patient data, such as background, laboratory test values, and status of sedative drug use, including midazolam, were obtained from medical records. The primary outcome was the time required for improvement of the Richmond Agitation–Sedation Scale score after midazolam administration. Factors related to the prolongation of midazolam action were analyzed using the Mann–Whitney U test and logistic regression analysis. Statistical analyses were performed using EZR (version 1.61). Statistical significance was set at P < 0.05.
Result
In total, 68 patients were included in this study. The time required for Richmond Agitation–Sedation Scale score improvement after discontinuation of midazolam was < 48 h in 52 patients (76.4%) and > 48 h in 16 patients (23.5%).The factors related to prolonged midazolam action were age (P < 0.05), renal function (P < 0.01), risk factors reported in previous studies, and albumin levels (P < 0.01). The multivariate logistic regression analysis revealed that only albumin influenced the prolongation of midazolam activity (odds ratio, 0.61; 95% confidence interval, 0.44–0.85; P < 0.05).
Conclusions
Renal function, body mass index, age, and duration of midazolam administration are established factors that enhance and prolong the action of midazolam. In this study, the serum albumin level was identified as a new factor of relevance. Therefore, sedation in patients with low albumin levels should be carefully performed to avoid the prolongation and potentiation of midazolam action.
Prevalence, Anatomic-pathologic Findings, and Associated Factors of Nontraumatic Ileal Perforations Among Patients with Gut Perforation: A Multicenter Cross-sectional Study
Authors: Waziri Musa Abbas , Vivian Akello , Raymond Atwine , Lauben Amagara Kyomukama , Joel Wandabwa , Edwin Musinguzi , Peter Awio John , Godfroid Nyenge Basara , Sonye Kiyaka , Molle Fabrice , Sikakulya Franck Katembo , Muhumuza Joshua , Vahwere Bienfait Mumbere
Published: May 2024

Background: Nontraumatic ileal perforation is a cause of obscure peritonitis characterized by severe toxicity and high mortality. This burden is disproportionately greater in LMICs due to poor hygiene practices, burden of HIV infection, and other comorbidities.
This study aimed to determine the prevalence, anatomic-pathologic findings, and associated factors of nontraumatic ileal perforation at 3 selected hospitals in Uganda.
Methodology: This was a cross-sectional study of 149 consecutive sample participants that used a structured checklist. We conducted bivariate and multivariate analyses using SPSS v21.0 (IBM), for which p<0.02 and 0.05, respectively, were considered to indicate statistical significance.
Results: Nontraumatic ileal perforation was more prevalent among males (20.1%; 149) and peasants/farmers (41.6%; 149) of rural residence (22.1%; 149). The majority of the study participants had typhoid perforations (79.1%; 149). Most ileal perforations occurred 20-39 cm from the ileocecal junction (76.4%; 149), a perforation size/diameter of 0.5-1 cm was more common (58.1%; 149), and a single isolated perforation was more common (74.4%; 149). However, all perforations mainly occurred at the ante mesenteric border. Being an HIV-positive person was associated with greater odds of developing NTIP than was being a non-HIV-positive person. AOR 8.344, p = 0.015 (p<0.05). Additionally, patients treated with open and closed pit latrines were more likely to develop nontraumatic perforation than were those treated with water flash latrines. AOR 12.971, p = 0.004 (p < 0.05).
Conclusion
This study established that nontraumatic ileal perforation is more prevalent among male peasants living in rural areas and with typhoid fever. Being HIV positive or using a closed pit or open type of latrine was associated with high odds of nontraumatic ileal perforation.
The Predictive Capability of Some Anthropometric Indices to Identify the Risk of Metabolic Syndrome and Its Components among Industrial Workers
Authors: Konstantinova Ekaterina D. , Maslakova Tatiana A. , Ogorodnikova Svetlana Yu.
Published: May 2024

Metabolic syndrome (MetS) is closely associated with adverse cardiometabolic outcomes. The objective of this study is to search for practical methods that would enable effective identification of MetS based on anthropometric indicators. 347 male workers employed in hazardous working conditions were investigated. The presence of MetS was established in according to the guidelines of the International Diabetes Federation (IDF). Simple linear regression was used to determine the relationship between anthropometric indices and MetS components. Logistic regression provided MetS odds ratios (OR) in relation to increases in anthropometric measures. ROC-curves were calculated to compare the ability of each anthropometric index to predict MetS as well as to determine the diagnostic thresholds of the indicators considered. According to the IDF criteria, 36.3% of the workers had MetS. A direct relationship was found between the individual components of MetS and the anthropometric indices studied. The highest OR was shown by the Body Roundness Index (BRI) 2.235, 95% CI: 1.796-2.781. For different age quartiles, the optimal cut-off values predicting MetS were: for BRI, 4.1-4.4 r.u.; for a body shape index (ABSI), 0.080-0.083 m11/6∙kg-2/3; and for the lipid accumulation product (LAP), 49.7-70.5 cm∙mmol/l. The most significant associations with MetS were observed where the values were higher than these cut-off points (Se = 97.4%).
DAS Detection Technology for Gangue Slurry Pipeline Conveying Blockage
Authors: Zhu Lei , Qiu Fengqi , Liu Chengyong , Gu Wenzhe , Ma Chenyang , Song Tianqi , Pan Hao , Zhang Peng
Published: May 2024

The pipeline conveying system as the gangue slurry filling technology "lifeline". The occurrence of pipeline blockage will lead to the paralysis of the entire filling system; timely detection of pipeline blockage and early warning are needed to ensure the safe, stable, and efficient operation of the core elements of the coal gangue slurry filling system. Based on this, this paper summarizes and analyzes the classification of pipeline blockage and summarizes the current pipeline conveying blockage detection technologies. It elaborates in detail on the principles and advantages and disadvantages of existing pipeline blockage detection technologies, and points out that distributed fiber optic acoustic sensing technology (DAS), as an emerging fiber optic detection technology in recent years, can achieve high-precision, large-scale, real-time dynamic and distributed acoustic detection, Compared with traditional monitoring for pipeline blockage, it is more suitable for detecting blockage in coal gangue slurry pipeline conveying; then from the sensing principle of distributed fiber optic acoustic wave sensing technology, it discusses the current status of DAS technology application, analyzes the pipeline blockage DAS detection mechanism, and verifies the feasibility of pipeline conveying blockage detection based on the distributed fiber optic acoustic wave sensing technology by building a pipeline blockage DAS detection simulation experiment system; finally, it puts forward the feasibility of distributed fiber optic acoustic wave sensing technology; finally, it puts forward the feasibility of distributed fiber optic wave sensing technology detection. Finally, a pipeline blockage DAS detection and identification system is proposed, the function of each subsystem is introduced, and the core key technology involved in the pipeline blockage DAS detection and identification system is analyzed in detail, and the future development direction of gangue slurry pipeline conveying blockage DAS detection technology is also pointed out in order to provide reference for the development of the subsequent gangue slurry pipeline blockage and other pipeline conveying blockage DAS detection technology.
NRSC-KG: Noise-Robust Speech Comprehension Based on Knowledge Graph for HRI
Authors: Gun Liu-Hai , Deng Yan-Fang , Xie Ming-Shan
Published: May 2024

Speech comprehension is the key to Human-Robot Interaction (HRI), however, noise energetic masking can greatly reduce the performance of speech comprehension. Simply using Speech Enhancement (SE) methods can easily lead to suboptimal solutions. To alleviate these issues, this paper proposes a Noise-Robust Speech Comprehension system based on Knowledge Graph (NRSC-KG), which designs robust methods in Automatic Speech Recognition (ASR) and ASR error correction. In ASR, we propose a Self-adaptive Speech Feature Fusion Network (SSFF-Net) to dynamically fuse enhanced speech features with the original speech features. In ASR error correction, we propose a divergent apperceive error correction method based on domain-specific Knowledge Graph (KG). The experiment on AISHELL-1 speech corpus shows that compared to the traditional joint training of SE and ASR, our method achieves a relative Character Error Rate (CER) reduction of 12.7%. We validated the KG based error correction method on our customized Herbal Cuisine ordering Dialogue speech dataset (HCDialogue), and the results showed that our method achieved a relative CER reduction of 5.0% and 2.1%, respectively, compared to the language model based and end-to-end neural network based methods. It’s indicated that the KG based method has great potential in improving speech comprehension performance.
Measuring and optimizing the spatial accessibility of primary health care in remote and rural areas: a case study of Liannan Yao Autonomous County in China
Authors: Liu Lulu , Chen Yaowen , Xiang Haiqing , Zhong Jiawei , Xiao Yu , Zhou Peng , Wang Lan , Sun Ying
Published: May 2024

The need for equitable access to primary healthcare services in the current global context has attracted widespread attention, prompting nations to continuously enhance their grassroots medical service levels. In response, China launched the "Healthy China" initiative, which prioritizes the enhancement of national health as a core goal of the healthcare system and uses this opportunity to deepen reforms aimed at strengthening primary care. However, in remote and rural areas, the optimization of medical resource allocation and the achievement of balanced service development remain critical challenges owing to limited resources. This study selected Liannan Yao Autonomous County, which is situated in the northwestern corner of Guangdong Province, as a case study due to its remote mountainous location, underdeveloped economy, and minority region characteristics. Through field research and interviews, this study thoroughly explored the needs of both supply and demand, factoring in elements such as the service capability of medical facilities and residents' travel thresholds to enhance the two-step floating catchment area model, thus making it more applicable to remote villages. By integrating electric vehicles and cars, which are the primary means of transportation in rural areas, this study conducted a thorough analysis and comparison of the accessibility of medical services in Liannan Yao Autonomous County. The results reveal significant disparities in healthcare accessibility, an uneven distribution of medical resources, and varying impacts of transportation conditions and facility service capabilities on accessibility. Notably, the study revealed that improving transportation conditions alone has limited effects in rural areas; the key lies in balancing medical service capabilities and the rationality of overall layouts. From the perspectives of equity and efficiency, this study employs the equitable coverage model and the efficiency-driven model to construct two scenarios, comparing accessibility changes in Liannan under both conditions and proposing strategies to improve the spatial layout of local medical facilities. This research not only deepens the understanding of healthcare service accessibility in rural areas but also provides a scientific basis for optimizing resource allocation and enhancing primary medical services, offering valuable guidance and reference for Liannan and other similar rural regions.
A Dual Track Feature Fusion Network for ASD Detection using Swin Transformers and Convolutional Neural Network
Authors: Radhakrishnan Menaka , Ramamurthy Karthik , Shanmugam Saranya , Prabhu Aneesh Jayan , Sivaraman Balamadhan , Janarthanam Aishwar Haris
Published: May 2024

Early diagnosis of Autism Spectrum Disorder (ASD) plays a crucial role in enriching a child's development, particularly in improving social communication, language development, and addressing behavioural challenges. Early signs of autism may be observable in childhood, but a formal diagnosis often occurs later in life. Behavioural-based assessments, such as the Autism Diagnostic Interview-Revised (ADI-R) and Autism Diagnostic Observation Schedule-Revised (ADOS-R), are currently used for diagnosing ASD. These methods of diagnosis are time-consuming and require trained professionals. Due to these disadvantages of the traditional method of diagnosis, deep learning is used, where feature extraction is done automatically from Magnetic Resonance Imaging (MRI) data, eliminating the reliance on subjective pre-defined features. This advancement not only captures subtle information that may be missed by human-defined features but also enhances accuracy significantly. The dataset comprises of axial view of MRI images from ABIDE-I dataset from Autism Brain Imaging Data Exchange (ABIDE) database. This study proposes a dual-track feature fusion network architecture comprising Swin Transformer and customised Convolutional Neural Network (CNN) for precise classification. Swin Transformers excel in capturing long-range dependencies within images, facilitating a deeper understanding of interrelations among different image components. Concurrently, CNNs are adept at extracting local features, thus contributing to improved classification performance by considering both local and global features. The experimental outcomes highlight the efficacy of the proposed feature fusion network, showcasing an accuracy rate of 98.7%, precision of 98.12%, recall of 98.77%, and an F1-score of 98.65% upon evaluation using the ABIDE dataset.
The Role of Information Technology in Sustainable Urban Mobility Development
Authors: Petersen Daniel , Behr Ariel
Published: May 2024

The exponential growth of the population living in urban centers has contributed to intensifying problems related to various aspects of mobility. In this context, information technology has been widely used as an important resource for building solutions aimed at overcoming infrastructure and urbanism deficiencies, collecting information in its multiple contexts, and constructing tools for management, planning, and other resources necessary for the development of smarter forms of mobility. This qualitative article was conducted through research and bibliographic analysis where, through a systematic literature review (SLR), it investigated the different IT solutions applied in mitigating the consequences of urban mobility problems. 400 studies analyzing 72 distinct approaches to mobility were identified and classified into 16 application groups. The objective was to map the multiple aspects of sustainable urban mobility researched by the academic community in recent years. Additionally, the article highlights the Mobility as a Service (MaaS) approach.
Investigation on the mechanism of Ranunculus ternatus Thunb. against esophageal squamous cell carcinoma based on network pharmacology and experimental verification
Authors: Deng Michen , Deng Yanhong , Tang Zu-gui , Nie Wenqiang , Lu Yi , Wang Zhe , Wang Xicheng , Kong Yi
Published: May 2024

Purpose
This study was conducted to assess the pharmacological mechanisms of ethyl acetate extract of Ranunculus ternatus Thunb. (RTE) in combating esophageal squamous cell carcinoma (ESCC) through the integration of network pharmacology analysis and experimental validation.
Methods
Utilizing network pharmacology methodologies, potential targets of RTE and targets associated with ESCC were identified from public databases. Subsequently, protein-protein interaction (PPI) network analysis, Gene Ontology (GO) analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted to ascertain the key targets and pathways through which RTE may exert its effects against ESCC. Finally, the putative mechanisms of action of RTE on ESCC, as predicted by network pharmacology analysis, were validated through in vitro experiments.
Results
A total of 274 potential targets were retrieved by searching the intersection of RTE and ESCC targets. 14 key genes of RTE acting on ESCC were obtained combined Component-Target-Disease Pathway and PPI network analysis, including AKT1, HSP90AA1, EGFR, MAPK1, and TNF.GO biological process analysis mainly involved in regulation of inflammatory response, response to lipopolysaccharide, and regulation of apoptotic signaling pathway, etc. KEGG signaling pathway analysis mainly related to MAPK signaling pathway, Relaxin signaling pathway, and PI3K/Akt pathway, etc. Then, the results of in vitro experiment indicated that RTE could inhibit proliferation of EC-109 and TE-13 cells. The in vitro experiments validated that RTE exhibited its therapeutic effects on ESCC mainly though the regulation of cell proliferation via MAPK/ERK and PI3K/Akt signaling pathways.
Conclusion
This study demonstrated that it may offer a useful tool to clear the molecular mechanism of RTE on ESCC by combination of network pharmacology prediction with experimental validation.
Identification of novel PHGDH inhibitors based on computational investigation: an all-in-one combination strategy to develop potential anti-cancer candidates
Authors: Xu Yujing , Yang Zhe , Yang Jinrong , Gan Chunchun , Qin Nan , Wei Xiaopeng
Published: May 2024

PHGDH has been identified as a promising drug target for the therapy/management of various cancers. 3D-QSAR pharmacophore model-based virtual screening, ADME/T prediction, molecular docking, lead optimization and molecular dynamics simulation were utilized to identify novel potential PHGDH inhibitors. A ligand-based 3D-QSAR pharmacophore model was developed using HypoGen algorithm methodology of Discovery Studio. The selected Hypo_2 pharmacophore model was further validated by test set validation, cost analysis, Fischer randomization validation and was then used as a 3D query to screen compound libraries with various chemical scaffolds. Estimated activity, drug-likeness, molecular docking, growing scaffold and molecular dynamics simulation were applied in combination in order to further narrow the number of virtual hits. Finally, an all-in-one combination was employed successfully to design and develop two potential anti-cancer candidates.
Shortest Characteristic Factors of a Deterministic Finite Automaton and Computing Its Positive Position Run by Pattern Set Matching
Authors: Janoušek Jan , Plachý Štěpán
Published: May 2024

Given a deterministic finite automaton (DFA) A, we present a simple algorithm for constructing deterministic finite automata that accept the shortest forbidden factors, the shortest forbidden prefixes, the shortest forbidden suffixes, the shortest forbidden words, the shortest allowed suffixes, and the shortest allowed words of the automaton A. We refer to these sets as the shortest characteristic factors of the automaton A. If the given automaton is local, and therefore the language it accepts is strictly locally testable, the sets of its shortest characteristic factors are finite, and these automata are acyclic. Otherwise, they accept infinite languages. This approach simplifies existing methods for the extraction of forbidden factors, allows the extraction of more types of characteristic factors, and also generalizes the extraction for all classes of DFAs. Furthermore, we demonstrate that this type of extraction can be used for a sublinear run of an automaton for certain inputs. We define a positive position run of a deterministic finite automaton, representing all positions in an input string where the automaton reaches a final state. Finally, we present an algorithm for computing the positive position run of the automaton, which utilizes pattern set matching of its shortest forbidden factors and its shortest forbidden or allowed suffixes, provided that the sets are finite. We showcase the computation of the positive position run of a local automaton using backward pattern set matching, which can achieve sublinear time.
Automatic Rehabilitation Exercise Task Assessment of Stroke Patients Based on Wearable Sensors with a Lightweight Multichannel 1D-CNN Model
Authors: Wang Jiping , Li Chengqi , Zhang Bochao , Zhang Yunpeng , Shi Lei , Wang Xiaojun , Zhou Linfu , Xiong Daxi
Published: May 2024

Approximately 75% of stroke survivors have movement dysfunction. Rehabilitation exercises are capable of improving physical coordination. They are mostly conducted in the home environment without guidance from therapists. It is impossible to provide timely feedback on exercises without suitable devices or therapists. Human action quality assessment in the home setting is a challenging topic for current research. In this paper, a low-cost HREA system in which wearable sensors are used to collect exercise data and a multichannel 1D-CNN framework is used to automatically assess action quality. The proposed 1D-CNN model is first pretrained on the UCI-HAR dataset, and it achieves a performance of 91.96%. Then, five typical actions were selected from the Fugl-Meyer Assessment Scale for the experiment, wearable sensors were used to collect the participants’ exercise data, and experienced therapists were employed to assess participants’ exercise at the same time. Following the above process, a dataset was built based on the Fugl-Meyer scale. Based on the 1D-CNN model, a multichannel 1D-CNN model was built, and the average accuracy of the model on the dataset was 97.23%. This shows that the HREA system can be used in the home environment and help patients receive timely assessment feedback.
Comparisons of Differential Analysis Methods between mRNAs and Parkinson’s Disease
Authors: Aung Tun Lin , Aung Ye Win , Myint Khin Sandi , Shi Xiaoran
Published: May 2024

Background
Parkinson's disease (PD) is a chronic, progressive neurodegenerative illness presenting motor and nonmotor symptoms. The primary pathology involves the gradual degeneration of dopaminergic neurons substantia nigra in the midbrain, causing motor dysfunction. PD is linked with changing gene expression, especially in the dopamine-dependent oxidative stress passages. Messenger RNA is a vital intermediary in gene expression, and dysregulation may exacerbate neuroinflammation and neuronal damage.
Objectives
Our objective was to identify differentially expressed mRNAs in PD through diverse analysis methods, comparing commonly utilized differential analysis techniques. This aims to enhance the understanding of underlying molecular mechanisms, elucidating affected biological significance, pathways, and processes in PD.
Methods
We employed the GEO database to investigate mRNA expressions in PD using the GSE168496 dataset. Utilizing the R-programming packages edgeR and DESeq2, we performed differential expression analysis. A Venn Diagram compares the differential expression genes (DEGs) identified by edgeR and DESeq2. Subsequently, a functional enrichment and regulatory network analysis was conducted on the significantly differing DEGs between PD and healthy controls (HC).
Results
The study used edgeR and DESeq2 to find PD with an adjusted p-value of less than 0.05 as the significance criterion. There was evidence of the downregulation of 17 genes (ALDH1A1, AGTR1, PITX3, RSPO2, and others) and the upregulation of five genes (LAMB1, MCOLN3, CYP2W1, MLPH, COL5A1). Utilizing Reactome Gene Sets, WikiPathways, and KEGG Pathway analyses unveiled biological processes associated with PD, including dopaminergic neurogenesis and synapse. Protein-protein interaction analysis highlighted 16 crucial proteins with 20 interactions, providing insights for therapeutic interventions and further research.
Conclusion
In conclusion, we identified distinct gene expression patterns, revealing five upregulated biomarkers and 17 downregulated markers in PD compared to HC. Combining differential expression analysis, pathway enrichment, network visualization, and Protein-Protein Interaction exploration provided a robust foundation for understanding the molecular intricacies of PD, offering valuable insights for future research and therapeutic development.
Chico Science, “A cidade”, raça e pobreza: Uma leitura da dinâmica social do Recife em perspectiva jurídico-decolonial
Authors: Teixeira João Paulo Allain , Ramos Caio Cavalcanti
Published: May 2024

O presente artigo busca problematizar as críticas às permanências coloniais no contexto urbano de grandes cidades na América Latina a partir da música “A Cidade”, da banda Chico Science e Nação Zumbi. Para a análise, utilizaremos como parâmetro de estudo as relações sociais desenvolvidas no contexto urbano da cidade do Recife, no Estado de Pernambuco, Brasil. A partir da letra da música, lançada em 1994, procura-se observar, a partir de indicadores oficiais, as transformações sociais que indiquem a superação/permanência de uma condição colonial a definir padrões de igualdade/desigualdade de classe e raça na dinâmica contemporânea da cidade do Recife. Para alcançar este objetivo o trabalho utiliza como base de dados o Atlas da Violência, o Atlas do Desenvolvimento Humano e o Instituto Brasileiro de Geografia e Estatística (IBGE).
Palavras-chave: Decolonialidade; Movimento Mangue; Recife; Nordeste.
Direitos humanos e a cláusula de incolumidade no contrato de transporte: a responsabilidade civil do transportador e o dever de reparação ao passageiro vítima de bala perdida em área de risco conhecido à luz dos precedentes do Superior Tribunal de Justiça (STJ)
Authors: Leal João Vicente Nunes , Teixeira Rodrigo Valente Giublin
Published: May 2024

O artigo tematiza a responsabilidade civil do transportador e a cláusula de incolumidade no contexto do Direito Civil brasileiro, perspectivando o dano moral causado ao passageiro do transporte terrestre vítima de bala perdida em área urbana sabidamente perigosa à luz dos precedentes do Superior Tribunal de Justiça (STJ). Nesta ordem de ideias, pretende-se apontar quais os parâmetros legais adotados pelo STJ para afastar a excludente de responsabilidade do transportador, por ato ilícito de terceiro, na hipótese de dano causado a passageiro, vítima de bala perdida, em área sabidamente perigosa. O objetivo geral é, após analisar os precedentes do STJ sobre a responsabilidade civil do transportador, por ato ilícito de terceiro, identificar os fundamentos utilizados para condenar as empresas transportadoras por dano causado a passageiro vítima de bala perdida em área sabidamente perigosa. Nesse sentido, os objetivos específicos serão elencar os aspectos conceituais, estruturais e características do Contrato de Transporte de Passageiros e da Cláusula de Incolumidade inseridos no ordenamento brasileiro; em seguida examinar os pressupostos e requisitos legais da responsabilidade civil no contrato de transporte coletivo urbano de passageiros, no ordenamento jurídico nacional, identificando os fundamentos adotados pelo STJ para a fixação da responsabilidade civil do transportador por dano causado ao passageiro e mais adiante confrontar os pressupostos fáticos com os legais, a partir de julgados paradigmáticos do STJ, para identificar os elementos indispensáveis para fixar a responsabilidade civil do transportador por dano moral causado ao passageiro decorrente de bala perdida em área urbana sabidamente perigosa.
A linguagem dos direitos humanos na ditadura militar brasileira: Uma análise dos discursos oficiais na assembleia geral da ONU
Authors: Medeiros Magno , Rezio Leonardo Luiz de Souza
Published: May 2024

Este artigo busca analisar o uso da linguagem dos direitos humanos pelos governos militares do Brasil durante o período da ditadura militar (1964-1985), por meio dos discursos proferidos na Assembleia Geral da ONU. Para esse fim, utilizamos como base a organização feita por Corrêa, que compilou os discursos realizados pelo Brasil em Sessões Ordinárias da Assembleia Geral da ONU no período de 1946 a 2006. O trabalho foi conduzido seguindo a metodologia proposta por Pimentel e Panke (2020) para a análise de discursos diplomáticos em comunicação política. Os resultados revelam que, apesar das narrativas ideológicas que buscavam enfatizar o compromisso do país com os direitos humanos, a comunidade internacional percebia o governo militar brasileiro como um violador desses direitos. Conclui-se que a linguagem dos direitos humanos foi instrumentalizada pelos governos militares, visando a legitimar suas ações e obter reconhecimento internacional, apesar das evidências de violações dos direitos humanos.
The conundrum between the neoliberal rationality and the contemporary environmental crisis: Fluctuations through uncertain times
Authors: Tonel Rodrigo , Cenci Daniel Rubens
Published: May 2024

The current investigation deals with the scope of the contemporary environmental crisis and its relationship with the neoliberal rationality. In this sense, the issue of such research comes up from the following questions: What is the future prognosis in the relationship between neoliberal rationality and the environmental crisis? What are the challenges to be faced and what measures and/or political-legal instruments should be proposed in an attempt to guarantee human dignity, environmental protection, economic growth and sustainability? The research’s goals are can be summarized in the following premises: conceptualizing and contextualizing neoliberalism in contemporary society from the micro level – as the subject and the society – to macro levels – States; clarify future prognoses with neoliberal perspectives within the wake of new technologies as well as the transhumanism movements; comprehending the contemporary environmental crisis as a political phenomenon. The methodology applied in this research observers the hypothetical-deductive method. It’s been observed that the neoliberalism paradigm abruptly intensifies environmental problems and it is necessary to find new ways and possible solutions to protect human and environmental rights.
Application of semantic analysis in strategic marketing using the mind map tool
Authors: Loginova Julia V. , Loginov Ilia V.
Published: May 2024

The article discusses the marketing use of a tool used to find solutions and systematize information as mind maps. Due to the increase in the volume and flow of information, a high degree of laboriousness of the analysis of texts in natural languages appears. To solve marketing problems and develop effective marketing strategies, the processing and analysis of the information received is of great importance. For more efficient use of tools, like mind maps, and minimization of manual data processing, there are requests such as combining maps into one from several experts or different map iterations from one expert. A technique is proposed for solving the problem of combining information from mind maps into one by semantic analysis methods, consisting of five stages. An algorithm for combining a set of mind maps into one using the methods of semantic text analysis is presented. To test the methodology, an experiment was conducted, during which more than 30 mind maps were analyzed. Based on the results of the analysis, a combined mind map based on the proposed methodology is presented and the problem of combining a number of heterogeneous maps into one is solved using semantic analysis. The article uses such methods, as literature analysis, experiment, semantic analysis of the text.
The social stratification of older people in online shopping
Authors: Olumekor Michael
Published: May 2024

The internet is important for the proper functioning of modern economies and societies. However, studies show the presence of an age-related digital divide with older people as unequal participants. This research investigates the social factors promoting or limiting the behaviour of older people in online shopping, and if older users/non-users of online shopping can be stratified based on these social factors. Following a survey with a sample size of 320 older people, we use a correlation and cluster approach to analyse the data. The results show that the strongest factor in determining if older people belong to a higher social stratum in online shopping is their place of residence or if they live in rural or urban areas.
Forms of public participation in local self-government: Argentina’s experience in the context of reforming the Russian legislation
Authors: Komlev Evgeny Yu.
Published: May 2024

In the context of the ongoing municipal reform in Russia, improving the mechanisms of public participation in municipal governance should become one of the priority areas. This circumstance raises the issue of a comprehensive study of relevant foreign experience. This article examines the regional legislation of Argentina in terms of regulating the forms of participation of the population in the implementation of local self-government. The author provides a comprehensive systematic study of the legal framework for ensuring public participation in the implementation of local self-government in Argentina. The article puts emphasis on such forms of participation forms, as elections, referendums, recall of elected officials, participation of the population in the discussion of various issues through the use of various mechanisms, and the creation of decentralized territorial entities. Based on a combination of comparative legal and comprehensive research methods, the author concludes that certain mechanisms for involving the population in decision-making at the local level can be considered within the framework of the Russian legal order. Attention is drawn to improving the procedure for recalling elected officials, increasing the degree of population participation in reforming the territorial foundations of the organization of municipal government, ensuring the participation of residents of individual localities in the implementation of local self-government during the consolidation of municipalities, and the institutionalization of local communities. An analysis of the Argentine experience in this part can serve as an aid for improving Russian legislation.
Optimum Condition for the Formation of β-ionone by Thermal Decomposition of Carotenoids Extract from Orange Sweet Potato (Ipomoea Batatas L.)
Authors:   Aisman , Syukri Daimon ,   Rini ,   Jaswandi , Haiyee Zaibunnisa Abdul
Published: May 2024

Introduction

The need for rose aromatic compounds is very high globally, where the beta-ionone compound as a precursor for rose aroma can be produced through the oxidation process of carotenoids, especially beta carotene. Therefore, Beta-ionone is the compound responsible for the rose fragrance, which is needed industrially. Carotenoids are easily degraded by various factors, namely heat, oxygen, light and enzymatic. This research has carried out heat degradation of carotene compounds extracted from orange sweet potato to determine the effect of heating time on forming aromatic compounds such as Beta-ionone and dihydroactinidiolide (dhA).

Methodology

Thermal degradation of carotene was carried out at 140°C for 1, 2, 3, and 4 h. The constant oxygen concentration of 7 l.h-1 was used to induce the oxidation. The spectrophotometric analysis of total carotene and the gas chromatographic-mass spectrometry analysis of volatile compounds were conducted to clarify the efficiency of the carotene degradation process and aromatic compounds' formation, respectively.

Results

Orange sweet potatoes contain 1.2% of carotenoids on a dry weight basis. Beta-ionone and dihydroactinidiolide compounds increased along with decreased total carotene value during heating. The results showed that heating sweet potato carotene at 140°C for 4 h caused carotene degradation of up to 93%. Therefore, the optimum thermal degradation treatment for the formation of β-ionone and dhA compounds was the heating condition at a temperature of 140°C for 4 h.

Conclusion

This research has shown the potential of sweet potatoes as a non-aromatic raw material that can be used to produce aromatic compounds. The use of the crude extract in this research means that the beta-ionone content in the product after oxidation is still low due to the presence of other components; this needs to be a concern for further research.
Ralstonia mannitolilytica Infections: A Systematic Review of Case Reports
Unveiling Clinical Patterns and Therapeutic Insights
Authors: Neelambaran Krishnapriya , Velmurugan Hemasri , Venkatesan Sajitha , Thangaraju Pugazhenthan
Published: May 2024

Background:

Ralstonia mannitolilytica is an emerging opportunistic pathogen that has
been increasingly reported in clinical settings. Despite its low pathogenicity in immunocompetent
individuals, it poses a significant threat to immunocompromised patients, particularly those with
underlying medical conditions or invasive medical interventions.

Objectives:

This study aimed to evaluate the clinical impact and management strategies based on
the analysis of individual case reports on Ralstonia mannitolilytica .

Methods:

A comprehensive search of PubMed was conducted from inception until July 31, 2023,
using the terms “Ralstonia mannitolilytica” and/or “Pseudomonas thomasii”. Inclusion criteria for
our systematic review included human-centered case reports of Ralstonia mannitolilytica infections, excluding case series and review articles. Data extraction followed PRISMA guidelines, including study details and patient characteristics. Case reports were systematically assessed using
the JBI critical appraisal checklist, evaluating patient demographics, clinical history, diagnostic
methods, interventions, post-intervention outcomes, adverse events, and lessons learned to minimize bias risk.

Results:

A total of 17 case reports of Ralstonia mannitolilytica infections were included in our systematic review. Studies published from 2001 to 2023 revealed diverse global contributions, with
29.41% from China. Infection origins varied, with catheter-related cases being predominant. Mortality was reported in two studies. Antibiotic sensitivity analysis showed sensitivity to third-generation cephalosporins, notably Ceftazidime. Quality appraisal revealed that all studies had a low risk
of bias, ensuring the overall robustness of the case reports.

Conclusion:

This study emphasizes the importance of understanding Ralstonia mannitolilytica infections, given their varied clinical presentations and antibiotic responses. The study also underscores the necessity for precise identification, customized treatments, and ongoing research to manage these infections effectively.
Fluctuation Patterns Spodoptera frugiperda and Its Natural Enemies on Maize Plants With IPM and Conventional Practice in Malang Regency
Authors: Prayogo Bagas Agung , Mudjiono Gatot , Widjayanti Tita
Published: May 2024

Spodoptera frugiperda (Lepidoptera: Noctuidae) is a pest that originated in the United States and then migrated to Indonesia. This pest reportedly attacked corn in West Pasaman, West Sumatra Province, in 2019. This study aimed to determine the effect of cultivation practice on fluctuations in natural enemies and S. frugiperda. The research was conducted in Pandan Rejo Village, Pagak, Malang Regency. Data from observations of pest populations' natural enemies were then analyzed using simple quantitative analysis. The population and intensity of Spodoptera frugiperda attacks on IPM practices were always lower than those on conventional practices. During observation, there were 2 species of natural enemies, Braconidae and Scelionidae. The parasitoid population in IPM is always higher than in conventional practice. The lower parasitoid population at conventional practice failed to suppress the S. frugiperda population. Farming business analysis calculated using the R/C ratio showed that IPM practice had a value of 1.03 while conventional was only 0.55. IPM practice is feasible and more ecologically friendly than conventional practice.
Taypis de Imaginários Racistas e o (Ir)reparável em Narrativas Denegadas de Mulheres Negras
Authors: Souza Nayara Luiza de , Carvalho Carlos Alberto de
Published: May 2024

A opressão racial e sexual das mulheres negras brasileiras é, como defende Lélia Gonzalez (2020), uma das heranças coloniais mais perceptíveis e mais denegadas no contexto do país. Um dos mitos responsáveis pelo apagamento da história da escravização no Brasil instituiu como história oficial que esta nação seria um paraíso racial. Contudo, ao recorrermos aos registros de feminicídio, violência íntima e abusos sexuais, verifica-se uma repetição das mulheres negras como as mais vitimizadas. Diante da impossível reparação dos danos causados pelo passado de escravização que violentou as mulheres negras das mais variadas formas, cabe, no presente, eliminar todas as condições estruturais que as mantêm como alvo preferencial de violências e desumanização. Neste artigo recorremos ao que Silvia Rivera Cusicanqui (2015) descreve como “taypi”, um “mundo-do-meio” e um espaço intermediário onde é possível observar o contato entre formas opostas sem que os limites entre elas desapareçam. Essas zonas de contato, entretanto, podem ser permeadas por violência quando os opostos colocados em contato foram hierarquizados pelo contexto colonial, como Negres, Indígenas e Branques foram racializades, no Brasil. Inspirados nos deslocamentos de tempos e espaços que se reinformam, a proposta dos taypis de imaginários racistas coloca em contato imagens de apagamentos racistas que, ao serem evidenciados por meio da metodologia sociológica, apontam para o “racismo por denegação” (Gonzalez, 2020) brasileiro, presente em instituições nacionais, incluindo nos jornalismos.
Transforming 'Junk' DNA into Cancer Warriors: The Role of Pseudogenes in Hepatocellular Carcinoma
Authors: CHUGH KRITIKA
Published: May 2024

In the dynamic landscape of hepatocellular carcinoma (HCC) or the liver cancer research, pseudogenes have emerged from the shadows of genetic obscurity to become central figures, significantly influencing the disease molecular development and clinical trajectory. This review explores a transformative shift in perspective, recognizing pseudogenes not as genetic remnants without function, but as critical regulators in the molecular underpinnings of HCC. Engaging in complex interactions such as microRNA sponging, gene expression modulation, and signaling pathway disruptions, pseudogenes orchestrate a part of the molecular complexity driving tumor genesis, progression, and drug resistance in the liver cancer. Their unique expression patterns in hepatoma tissues herald new opportunities for early HCC detection, offering insights into patient prognosis, and identifying novel targets for therapeutic intervention of this disease. Such advancements underscore the importance of pseudogenes in enriching our understanding and management of HCC, paving the way for more effective diagnostic strategies and targeted therapies in the ongoing battle against this challenging malignancy.