bluuebunny/crossref_metadata_2025 huggingface dataset:
Consumer-Centric Rate Design for Peak Time Energy Demand Coincidence Reduction at Domestic Sector Level-A Smart Energy Service for Residential Demand Response
Authors: G Swathi , P Srinivasa Varma , Donepudi Sudha Rani , K Ramash Kumar
Published: October 2022

Reducing demand coincidence of customers with distribution system peak hours is very essential in the modern world energy sector. There is a great scope for peak demand coincidence reduction at the customer level, especially in the residential sector through Residential Demand Response programs. Through smart meter installations along with IT-enabled technologies, many of the distribution company’s initiatives like residential demand response programs can be taken to domestic customers with ease, less cost, and less technology deployment. Rate design is one such effective approach. Even though time-varying rates like Time of Use have been used as an effective approach for reducing peak electricity demand in different sectors around the world, the residential sector has not gained much attention due to a few challenges like externality problems, high on-peak and low off-peak prices, improper pricing mechanisms. Hence, considering the above challenges and constraints, a rate design, named consumer-centric time of use tariff is proposed in this article for domestic customers. The tariff is consumer-centric such that each customer gets a unique on-peak unit price and off-peak unit price based on their consumption during peak hours both at the house-level and utility level rather than common and fixed on-peak and off-peak prices for all the customers, thus addressing the above-mentioned constraints. For this, customers are classified into different clusters using the Machine Learning Algorithm K-Means. The proposed rate design model has been analyzed on synthetic smart meter data of 10 houses, and it is observed that the proposed tariff shows an increase in the monthly revenue by 4.3% for the utility and a variation of -0.4% to 7% of energy charge for different customers. This study and analysis show that the proposed consumer-centric time of use rate design provides a better pricing mechanism with a win-win strategy for both customers and utility, thereby avoiding windfall gains or losses to both. Furthermore, the proposed tariff influences each residential customer of different consumption levels to reduce peak demand coincidence as well as energy consumption for the power sector.
Analysis of Characteristic Factors of Nursing Safety Incidents in ENT Surgery by Deep Learning-Based Medical Data Association Rules Method
Authors: Chen Ju , Zhou Jie , Yang Fanglan
Published: October 2022

It is of great significance to explore the characteristic factors of postoperative nursing safety events in patients with otolaryngology surgery and to understand the characteristics of postoperative nursing safety events in otolaryngology surgery patients. This paper carried out preoperative safety protection for 385 inpatients, and the results showed that there were 52 cases of postoperative safety nursing events. This experiment found that the coinfected lesions (

P
=
0.001

,

HR
=
14.283

, 95.0% C1: 9.365~21.038), the treatment period (

P
=
0.001

,

HR
=
13.716

, 95.0% CI: 7.147~20.275), during hospital treatment (

P
=
0.002

,

HR
=
15.208

, 95.0% CI: 8.918-24.237), antibiotic use (

P
=
0.001

,

HR
=
14.054

, 95.0% CI: 8.163-21.739), and hypertension (

P
=
0.001

,

HR
=
13.976

, 95.0% CI: 7.926-22.385) are the important factors affecting postoperative care; using the association rule method to control and analyze the main risk factors of postoperative infection and bleeding in ENT patients can significantly improve the prognosis.
Application of Computer Network Technology in Network Music Education System
Authors: Chao Xiao
Published: October 2022

In order to explore the application of network music education system, this paper proposes an application of computer network technology in the network music education system. This method explores the application of network music education systems through the key technical problems and solutions of information recommendation based on computer network technology. The research shows that the efficiency of network music education system based on computer network technology is about 30% higher than that of traditional methods. This paper implements the system according to the layered mode and tests the operation of the software system. The test results show that, through the use case test of each functional module of the foreground and background, the system can execute the issued commands smoothly and normally. Finally, it is concluded that the average risk occurrence rate is 2.02 hours/hour, and the probability of high risk is 17.4%. Conclusion. After testing, the operation of the software system has achieved the expected goal.
Vectorization Analysis of Cultural Creative Design Based on the Recognition Model of Virtual Reality Technology
Authors: Yang Ying , Xu Zili
Published: October 2022

In order to solve the problem of large color matching errors exhibited in the previous color matching system, this study proposes a special color automatic matching system for cultural and creative products based on virtual reality technology. In this study, virtual reality technology (Technology) is applied to the proposed system design. Based on the three-tier architecture, the system framework is designed. The architecture includes a data access layer, a business logic layer, and a presentation layer. The hardware includes a spectrophotometer, a central processing unit, a storage device, and a virtual reality somatosensory interaction device, and the four key devices are introduced in detail. The software part takes the BP neural network algorithm as the core, trains and processes the three color values, constructs the automatic color matching model of cultural and creative products according to the training results, and realizes the logical operation and analysis of the system software. The experimental results show that although there is still a certain error between the color matching of the cultural and creative products output by the system and the actual color matching of the test samples, the maximum absolute error of the matching is relatively small, both of which are less than 0.05, which proves the effectiveness of the research to a certain extent. The error between the 6 groups of actual matching samples and the predicted matching samples is <1.5, which proves that the color difference is related to human vision, indicating that the matched samples have no color difference and achieve the expected effect. Although there are some errors between the designed system and the expected color matching, the error is small, so the color difference does not affect the visual presentation effect.
A Network Pharmacology Study on the Cervix Prescription for Treatment of Cervical Cancer
Authors: Zhu Yingping , Wang Liangping , Xu Leilai , Ying Pian
Published: October 2022

Purpose. Based on the method of network pharmacology to explore the mechanism of the cervical prescription (CP) in the treatment of cervical cancer (CC). Methods. We obtained the active ingredients and potential targets in the CP from the literature and the systematic pharmacological analysis platform of traditional Chinese medicine (BATMAN-TCM); the database was used to search for targets related to cervical cancer and to map CP and targets; the core targets were screened, and the protein-protein interaction network (PPI) was constructed using the TCM compound-target network and STRING database. Gene ontology (GO) and Kyoto Gene and Genome Encyclopedia (KEGG) pathway enrichment analysis of overlapping targets were performed using DAVID 6.8 online tool. Results. The CP contains 2 active ingredients, corresponding to 301 nonreactive targets; 10 GO biological process related items and 73 signal pathways were obtained. Cell experiments confirmed that the medicated serum of CP could effectively inhibit the proliferation and invasion ability of Hela cells. Conclusion. This study provides valuable information for TCM researchers and clinicians to better understand the main therapeutic targets and therapeutic roles of herbal decoctions in clinical settings. The results of our study preliminarily clarified that the cervical prescription has an inhibitory effect on cervical cancer cells.
A Review of Routine Laboratory Biomarkers for the Detection of Severe COVID-19 Disease
Authors: Keykavousi Keynaz , Nourbakhsh Fahimeh , Abdollahpour Nooshin , Fazeli Farzaneh , Sedaghat Alireza , Soheili Vahid , Sahebkar Amirhossein
Published: October 2022

As the COVID-19 pandemic continues, there is an urgent need to identify clinical and laboratory predictors of disease severity and prognosis. Once the coronavirus enters the cell, it triggers additional events via different signaling pathways. Cellular and molecular deregulation evoked by coronavirus infection can manifest as changes in laboratory findings. Understanding the relationship between laboratory biomarkers and COVID-19 outcomes would help in developing a risk-stratified approach to the treatment of patients with this disease. The purpose of this review is to investigate the role of hematological (white blood cell (WBC), lymphocyte, and neutrophil count, neutrophil-to-lymphocyte ratio (NLR), platelet, and red blood cell (RBC) count), inflammatory (C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), and lactate dehydrogenase (LDH)), and biochemical (Albumin, aspartate aminotransferase (AST) and alanine aminotransferase (ALT), blood urea nitrogen (BUN), creatinine, D-dimer, total Cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL)) biomarkers in the pathogenesis of COVID-19 disease and how their levels vary according to disease severity.
Credit Risk Simulation of Enterprise Financial Management Based on Machine Learning Algorithm
Authors: Sun Mingtao , Li Ying
Published: October 2022

In the context of the rapid development of the Internet +, the e-commerce industry has developed very rapidly and is playing an increasingly important role in the market. More and more investors are also paying attention to the financial risks of the e-commerce industry. Therefore, how effectively identifying and controlling the credit risks of e-commerce enterprises corporate financial management is particularly important. Its financial-related business will be affected by various factors such as financing, credit, and the environment. The particle swarm optimization in the machine learning algorithm optimizes the support vector machine model; using its nonoverlapping clustering properties, it can fully display the density relationship between each data and the density relationship between its subclasses in a graphical way. It is hoped that the research on the financial risk of this enterprise can provide some insights into the identification, management, and related governance of the financial risk of e-commerce enterprises. In this context, this paper studies the credit risk simulation of corporate financial management based on machine learning algorithms, aiming to provide a new research direction for the current subject of corporate financial management credit risk. This paper optimizes the support vector machine model in the machine learning algorithm, integrates it into the financial risk of the enterprise, and analyzes the convergence of the algorithm. The experimental sample selected a bad e-commerce platform owned by a company, and the data were collected from the financial statements released by the company from 2018 to 2021. The experimental results show that in 2018, the two platforms lost −151.80 and −223.45, respectively, and the B platform lost more. By 2021, both platforms have achieved profits, which are 244.76 and 241.71, respectively. However, in the past few years, platform B has achieved positive profit growth every year, and the growth rate is average, and the overall growth rate is higher than that of platform A. This shows the limitations of managers’ decision-making and also shows the importance of enterprises to adjust their strategies in a timely manner through market feedback. The study was well completed.
Study on Music Emotion Recognition Based on the Machine Learning Model Clustering Algorithm
Authors: Xia Yu , Xu Fumei
Published: October 2022

In recent years, the explosive growth of online music resources makes it difficult to retrieve and manage music information. To efficiently retrieve and classify music information has become a hot research topic. Thayer’s two-dimensional emotion plane is selected as the basis for establishing the music emotion database. Music is divided into five categories, the concept of continuous emotion perception is introduced, and music emotion is regarded as a point on a two-dimensional emotional plane, together with the two sentiment variables to determine its location. The artificial labeling method is used to determine the position range of the five types of emotions on the emotional plane, and the regression method is used to obtain the relationship between the VA value and the music features so that the music emotion classification problem is transformed into a regression problem. A regression-based music emotion classification system is designed and implemented, which mainly includes a training part and a testing part. In the training part, three algorithms, namely, polynomial regression, support vector regression, and k-plane piecewise regression, are used to obtain the regression model. In the test part, the input music data is regressed and predicted to obtain its VA value and then classified, and the system performance is considered by classification accuracy. Results show that the combined method of support vector regression and k-plane piecewise regression improves the accuracy by 3 to 4 percentage points compared to using one algorithm alone; compared with the traditional classification method based on a support vector machine, the accuracy improves by 6 percentage points. Music emotion is classified by algorithms such as support vector machine classification, K-neighborhood classification, fuzzy neural network classification, fuzzy K-neighborhood classification, Bayesian classification, and Fisher linear discrimination, among which the support vector machine, fuzzy K-neighborhood, and the accuracy rate of music emotion classification realized by Fisher linear discriminant algorithm are more than 80%; a new algorithm “mixed classifier” is proposed, and the music emotion recognition rate based on this algorithm reaches 84.9%.
Effect of Nursing Outcome-Oriented Intervention on Airway Management in Elderly Long-Term Bedridden Patients
Authors: Ding Weiwei , Luo Fei , Lin Pingping , Tang Yu , Liu Ying
Published: October 2022

Objective. This study intended to explore the nursing outcome-oriented intervention’s effect on airway management in elderly long-term bedridden patients. Methods. A total of 120 cases of elderly long-term bedridden patients admitted to our hospital from May 2018 to June 2020 were enrolled and randomly divided into the observation group (

n
=
60

) and control group (

n
=
60

). The control group received the routine nursing intervention, while the observation group received the nursing outcome-oriented intervention. Forced expiratory volume (FEV1), forced vital capacity (FVC), and maximal voluntary ventilation (MVV) in the first second were compared between the two groups before and after the intervention. The pulmonary infection of the two groups was observed. Total protein, hemoglobin, albumin, and cholesterol levels were compared between the two groups. Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD) were used to evaluate the two groups’ psychological status before and after the intervention. The Generic Quality of Life Inventory-74 (GQOLI-74) assessed the two groups’ quality of life. Results. After the intervention, the levels of FEV1, FVC, and MVV; total protein, hemoglobin, albumin, and cholesterol; and scores of physical function, psychological function, social function, and material life function in the observation group were higher than those in the control group. Pulmonary infection, secondary infection, the infection rate is more than 3%, HAMA, and HAMD scores, and the incidence of pressure ulcers, aspiration, constipation, and the falling bed was lower than those in the control group, with statistical significance (all

P
<
0.05

). Conclusion. Nursing outcome-oriented intervention can effectively improve lung function, pulmonary infection, nutritional status, negative mood, and quality of life of long-term bedridden elderly patients.
A Machine Learning Workflow of Multiplexed Immunofluorescence Images to Interrogate Activator and Tolerogenic Profiles of Conventional Type 1 Dendritic Cells Infiltrating Melanomas of Disease-Free and Metastatic Patients
Authors: De León Rodríguez Saraí G. , Hernández Herrera Paúl , Aguilar Flores Cristina , Pérez Koldenkova Vadim , Guerrero Adán , Mantilla Alejandra , Fuentes-Pananá Ezequiel M. , Wood Christopher , Bonifaz Laura C.
Published: October 2022

Melanoma is the deadliest form of skin cancer. Due to its high mutation rates, melanoma is a convenient model to study antitumor immune responses. Dendritic cells (DCs) play a key role in activating cytotoxic CD8+ T lymphocytes and directing them to kill tumor cells. Although there is evidence that DCs infiltrate melanomas, information about the profile of these cells, their activity states, and potential antitumor function remains unclear, particularly for conventional DCs type 1 (cDC1). Approaches to profiling tumor-infiltrating DCs are hindered by their diversity and the high number of signals that can affect their state of activation. Multiplexed immunofluorescence (mIF) allows the simultaneous analysis of multiple markers, but image-based analysis is time-consuming and often inconsistent among analysts. In this work, we evaluated several machine learning (ML) algorithms and established a workflow of nine-parameter image analysis that allowed us to study cDC1s in a reproducible and accessible manner. Using this workflow, we compared melanoma samples between disease-free and metastatic patients at diagnosis. We observed that cDC1s are more abundant in the tumor infiltrate of the former. Furthermore, cDC1s in disease-free patients exhibit an expression profile more congruent with an activator function: CD40highPD-L1low CD86+IL-12+. Although disease-free patients were also enriched with CD40−PD-L1+ cDC1s, these cells were also more compatible with an activator phenotype. The opposite was true for metastatic patients at diagnosis who were enriched for cDC1s with a more tolerogenic phenotype (CD40lowPD-L1highCD86−IL-12−IDO+). ML-based workflows like the one developed here can be used to analyze complex phenotypes of other immune cells and can be brought to laboratories with standard expertise and computer capacity.
[Retracted] Management Strategy of Alzheimer’s Patients under the Medical‐Care Integration Model Based on Big Data Evaluation
Authors: Sun Wei , Liu Jinxia , Liu Lihua , Wang Xiuzhi
Published: October 2022

In the context of the era of big data, the management of Alzheimer’s patients has aroused widespread concern in the society. What should the elderly and people with dementia do and how the society should accommodate these special groups have aroused heated discussions in the society. The goal of the medical‐nursing integration model is to realize the integrated model of medical care‐nursing‐rehabilitation‐old care, and to better satisfy the needs by providing medical services, rehabilitation care, and health management. The medical needs of the elderly can help the elderly maintain a healthy state; the elderly care needs can be better met through elderly care services, and the burden on families and society can be reduced. With the advancement of the medical‐care integration model, new solutions have been provided for the management of senile dementia patients. Therefore, under the medical‐care integration model, this paper managed Alzheimer’s patients based on the big data algorithm based on association rules and compared it with the management of Alzheimer’s patients under the traditional model, and drew the following conclusions: compared with the management satisfaction of Alzheimer’s patients under the traditional model, family members and patients’ total satisfaction with nursing management under the medical‐care integration model was greatly improved; compared with the management of Alzheimer’s patients under the traditional model, the incidence of adverse events in the management of Alzheimer’s patients under the medical‐care integration model was greatly reduced, which was reduced to 17.6%; under the medical‐care integration model, the anxiety and depression scores of the elderly patients with dementia decreased rapidly; under the medical‐care integration model, the living ability of senile dementia patients has been greatly improved; the use of the medical‐care integration model to manage senile dementia patients has greatly improved the sleep quality, mental quality, and quality of life of senile dementia patients.
Utilization of Dental Care and the Incidence of Dementia: A Longitudinal Study of an Older Japanese Cohort
Authors: Saito Mizuki , Shimazaki Yoshihiro , Nonoyama Toshiya , Ohsugi Kazushi
Published: October 2022

Introduction: A relationship between periodontal disease and dementia has been reported. It is important to visit a dentist to maintain healthy periodontal tissue. Few studies have been reported on the association between dental visits and the risk of dementia. This study examined the relationship between the use of dental care among older people and the incidence of dementia based on health insurance claims data. Materials and Methods: We targeted 31,775 people aged 75 or 80 years. Dental utilization was obtained from the health insurance claims data from April 2014 to March 2015. The month when dementia medical costs were first incurred during the 4-year follow-up period was defined as the dementia onset month. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of the incidence of dementia for the use of dental care. Results: Regarding the type of dental visit, the adjusted HR of overall dementia was significantly lower (0.89: 95% CI, 0.81–0.98) in those who received periodontal treatment compared with those who did not receive any dental treatment. Regarding the days of periodontal treatment, participants with ≥5 days had significantly lower adjusted HRs for overall dementia, Alzheimer’s disease, and vascular dementia than those with 0 days, and the adjusted HRs were 0.84 (95% CI, 0.75–0.94), 0.88 (95% CI, 0.77–1.00), and 0.82 (95% CI, 0.69–0.99), respectively. Conclusion: Individuals who received periodontal treatment on many days had a low risk of dementia. Regular dental visits to treat or prevent periodontal disease may be important to prevent dementia.
IL-12 Contributes to the Development of Asthma by Targeting HIF-1α/NLRP3 Pathway through Runx3
Authors: Sun Yinghong , Xia Tian , Ma Jingfang , Sun Yunxiao
Published: October 2022

Introduction: The aim of the study was to determine the role and mechanism of runt-related transcription factor 3 (Runx3) in the development of asthma. Methods: An asthma mouse model was constructed and validated by hematoxylin-eosin analysis of lung tissue and noninvasive enhanced pause (Penh) evaluation of airway hyperresponsiveness. Then, the levels of Runx3 and interleukin (IL)-12 in peripheral blood and lung tissue were detected by enzyme-linked immunosorbent assay (ELISA) and immunohistochemistry. By use Runx3+/− mice, the effect of Runx3 downregulation on ovalbumin (OVA)-induced asthma was investigated. After stimulated by different doses of IL-12, the expressions of Runx3, hypoxia inducible factor-1α (HIF-1α), and NOD-like receptor thermal protein domain associated protein 3 (NLRP3) in BEAS-2B cells were tested through Western blot and immunofluorescence. Subsequently, BEAS-2B cells treated with 20 ng/mL IL-12 were divided into control, Runx3 overexpression negative control, Runx3 overexpression, HIF-1α inhibitor, and Runx3 overexpression + HIF-1α agonist groups. The Western blot, immunofluorescence, and ELISA indicators were tested repeatedly. Results: The increased number of inflammatory cells and Penh value confirmed the success of the asthma mouse model. IL-12 expression was significantly increased, and Runx3 was reduced in asthma mice compared with wild-type mice. Meanwhile, the level of immunoglobulin E (IgE) in serum, cytokines in bronchoalveolar lavage fluid, and IL-12, HIF-1α, NLRP3 in the lung were significantly elevated in Runx3+/− mice. With the increase of IL-12 concentration, Runx3 protein expression decreased, while HIF-1α and NLRP3 expression increased. Further mechanistic studies suggest that Runx3 ameliorates IL-12-induced BEAS-2B injury by inhibiting HIF-1α/NLRP3 pathway. Conclusion: These results suggested that IL-12 contributes to the development of asthma by targeting HIF-1α/NLRP3 pathway through Runx3, thus providing a novel strategy for asthma therapy.
Incidence and Risk Factors of Repositioning Surgery to Correct Misalignment of Toric Intraocular Lenses after Cataract Surgery: A Single-Center Retrospective Observational Study
Authors: Li Honglei , Sun Jiajun , Bai Huiran , Leng Lin , Dai Yunhai , Wu Xiaoming
Published: October 2022

Purpose: The aim of this study was to analyze the incidence and outcomes of repositioning surgery to correct misalignment of several toric intraocular lenses (IOLs) after cataract surgery. Methods: In this retrospective study, patients who underwent repositioning surgery to correct misalignment of toric IOLs following cataract surgery between January 2019 and December 2021 were enrolled. The medical data on patients’ age, gender, preoperative axial length, corneal astigmatism, the axis of astigmatism, IOL models, IOL axis, uncorrected distance visual acuity, residual refraction, and postoperative outcomes were analyzed. Results: Among the 1,135 eyes implanted with toric IOLs at Qingdao Eye Hospital, 23 (2.026%, 23/1,135) underwent repositioning surgery. Univariate analysis revealed that the incidence of repositioning surgery was significantly lower with AcrySof (0.636%, 5/786) than with ZEISS (2.959%, 5/169) and TECNIS (7.222%, 13/180) IOL platforms; the incidence of repositioning surgery with monofocal toric IOLs (1.169%, 11/941) was significantly lower than multifocal toric IOLs (6.186%, 12/194) (p < 0.001); additionally, a significant difference in age was also observed (p = 0.002). Multivariate logistic regression analysis showed that the IOL platform (p = 0.004) and younger age (p = 0.006) were independent risk factors for repositioning surgery. Conclusion: The incidence of repositioning surgery of toric IOLs after cataract surgery was 2.026%. It was linked to the IOL platform, multifocal toric IOLs, and younger age.
The Ratio of Urine N-Terminal Pro B-Type Natriuretic Peptide to Cyclic Guanosine Monophosphate Predicts Emergency Department Visits for Heart Failure
Authors: Chen Ju-Yi , Lee Shuenn-Yuh , Shieh Meng-Dar
Published: October 2022

Introduction: Emergency department (ED) visits for decompensated heart failure (HF) are frequent and associated with poor long-term outcomes. Plasma N-terminal pro B-type natriuretic peptide (NT-proBNP) and cyclic guanosine monophosphate (cGMP) are used in diagnosis and prognosis of HF patients, while clinical values of urine NT-proBNP/cGMP ratio have been rarely explored. This study aims to compare the predictive values of urine NT-proBNP/cGMP ratio versus plasma NT-proBNP for ED visits for decompensated HF. Methods: This prospective study included 126 HF patients with reduced left ventricular ejection fraction (<50%) and without chronic kidney disease. Baseline data included demographics, co-morbidities, and co-medications. Medical records were used to determine the incidence of ED visits for decompensated HF during the 3 months following the last visit. Results: Patients with subsequent ED visits had significantly higher levels of plasma and urine NT-proBNP and urine cGMP in than those without. Multivariate Cox regression analysis disclosed that Lg10urine NT-proBNP/cGMP was an independent risk factor for subsequent ED visits (OR = 3.267; 95% CI: 1.105–9.663; p = 0.032). ROC analysis revealed an Lg10urine NT-proBNP/cGMP ratio optimal cut-off value of 0.1706 (AUC, 0.700; 95% CI: 0.543–0.857; p = 0.036) for predicting subsequent HF-related ED visits. Conclusion: A single measurement of urinary NT-proBNP/cGMP ratio is predictive of subsequent ED visits for decompensated HF. This noninvasive and easy measurement may be a clinically useful tool for identifying a subset of patients at higher risk of ED visits.
Limites e possibilidades para desenvolvimento de pesquisas em saúde pública no judiciário
Authors: Andrade Nayla Rochele Nogueira de , Nunes Carlos Francisco Oliveira , Albuquerque Felipe Braga , Araújo Carmem E. Leitão , Ferreira Anderson Fuentes , Reis Adriana da Silva dos , Ramos Junior Alberto Novaes
Published: October 2022

OBJETIVO: Caracterizar as bases de dados dos tribunais de justiça do Brasil como potencial ferramenta para a pesquisa em Saúde Coletiva em suas interfaces com as ciências jurídicas. MÉTODOS: Estudo transversal de natureza quantitativa e descritiva com foco em análise de gestão estratégica e sistemas judiciários. RESULTADOS: Foram identificadas e analisadas bases de dados utilizadas pela Justiça Comum nas Unidades da Federação para sistematizar processos judiciais. Verificou-se um total de 123 bases de dados nos tribunais de justiça por unidade de federação, com destaque para as regiões Sul e Nordeste, em contraste à região Norte que apresenta menor número de sistemas. Esse grande número de sistemas judiciais limita o acesso a operadores do direito, e dificulta levantamento de evidências por pesquisadores em saúde e, consequentemente, com impactos na gestão estratégica do Poder Executivo. Constatou-se limitações desde o design à extração transparente e democrática de dados pelos próprios usuários, bem como restrita integração entre bases. CONCLUSÕES: Embora avanços tenham sidos empreendidos nos últimos anos pelos tribunais de justiça para unificação dessas bases, a multiplicidade de sistemas de informação utilizados na Justiça Comum estadual complexifica a gestão do conhecimento, limita o desenvolvimento de pesquisas, mesmo quando realizados por advogados ou pesquisadores da área jurídica, gera lentidão na extração de dados para a gestão pública. Reconhece-se a necessidade de esforços adicionais para a padronização, bem como para aprimoramento dessas bases de dados, ampliando acesso, transparência e integração com vistas a um olhar transdisciplinar entre o campo do Direito e da Saúde Coletiva.
Adapting the Exploration–Exploitation Balance in Heterogeneous Swarms: Tracking Evasive Targets
Authors: Kwa Hian Lee , Babineau Victor , Philippot Julien , Bouffanais Roland
Published: October 2022

There has been growing interest in the use of multi-robot systems in various tasks and scenarios. The main attractiveness of such systems is their flexibility, robustness, and scalability. An often overlooked yet promising feature is system modularity, which offers the possibility of harnessing agent specialization, while also enabling system-level upgrades. However, altering the agents’ capacities can change the exploration–exploitation balance required to maximize the system’s performance. Here, we study the effect of a swarm’s heterogeneity on its exploration–exploitation balance while tracking multiple fast-moving evasive targets under the cooperative multi-robot observation of multiple moving targets framework. To this end, we use a decentralized search and tracking strategy with adjustable levels of exploration and exploitation. By indirectly tuning the balance, we first confirm the presence of an optimal balance between these two key competing actions. Next, by substituting slower moving agents with faster ones, we show that the system exhibits a performance improvement without any modifications to the original strategy. In addition, owing to the additional amount of exploitation carried out by the faster agents, we demonstrate that a heterogeneous system’s performance can be further improved by reducing an agent’s level of connectivity, to favor the conduct of exploratory actions. Furthermore, in studying the influence of the density of swarming agents, we show that the addition of faster agents can counterbalance a reduction in the overall number of agents while maintaining the level of tracking performance. Finally, we explore the challenges of using differentiated strategies to take advantage of the heterogeneous nature of the swarm.
Sensory Delay Activity: More than an Electrophysiological Index of Working Memory Load
Authors: Emrich Stephen M. , Salahub Christine , Katus Tobias
Published: October 2022

Sustained contralateral delay activity emerges in the retention period of working memory (WM) tasks and has been commonly interpreted as an electrophysiological index of the number of items held in a discrete-capacity WM resource. More recent findings indicate that these visual and tactile components are sensitive to various cognitive operations beyond the storage of discrete items in WM. In this Perspective, we present recent evidence from unisensory and multisensory visual and tactile WM tasks suggesting that, in addition to memory load, sensory delay activity may also be indicative of attentional and executive processes, as well as reflecting the flexible, rather than discrete, allocation of a continuous WM resource. Together, these findings challenge the traditional model of the functional significance of the contralateral delay activity as a pure measure of item load, and suggest that it may also reflect executive, attentional, and perceptual mechanisms operating in hierarchically organized WM systems.
Diachronic Variation in the Omani Arabic Vernacular of the Al-ʿAwābī District
Authors: Morano Roberta
Published: October 2022

In this monograph, Roberta Morano re-examines one of the foundational works of the Omani Arabic dialectology field, Carl Reinhardt’s Ein arabischer Dialekt gesprochen in ‘Oman und Zanzibar (1894). This German-authored work was prolific in shaping our knowledge of Omani Arabic during the twentieth century, until the 1980s when more recent linguistic studies on the Arabic varieties spoken in Oman began to appear.

Motivated by an urgent need to expand and reinforce our understanding of Omani Arabic, the book provides a linguistic analysis of the Omani vernacular spoken in the al-ʿAwābī district (northern Oman), based on the speech of fifteen informants recruited throughout the area. It also provides a comparative analysis of the new data with that collected by Carl Reinhardt in 1894. This comparison enables the reader to appreciate the extent of diachronic linguistic variation in the region, and also sheds light on the threats that such variation poses to Omani-specific linguistic features.

Organised in four chapters, the book presents a sociolinguistic analysis of the Omani linguistic landscape followed by an examination of the phonology, morphology, and syntax of the al-ʿAwābī vernacular. Each chapter contains primary data collected by the author in situ compared, when applicable, with Carl Reinhardt’s materials. The appendix includes two sample texts extrapolated from the recordings, fourteen proverbs and one traditional song. This study will be of interest to those working in the fields of Omani Arabic, historical and comparative linguistics, translation and interpretation, or those with an interest in how languages develop over time.
Chapter 4
Authors: Morano Roberta
Published: October 2022

The fourth chapter deals with the analysis of syntactic structures as they appear in the informants’ speech. The chapter is organised in three main sections: phrases, clauses, and negation. The comparison with Reinhardt decreases here, due to the lack of a precise and detailed presentation of sentence structure in the German work.

In both the sections on phrases and clauses, the interested reader can find some remarks on TAM categories and agreement patterns in the district of al-ʿAwābī, as well as numerous examples drawn from the author’s own fieldwork.

Particularly pertinent is the section on negation: for a long time, Reinhardt’s negative system has been the object of intense discussions in the field. Here, the interested reader will find food for thought and clear evidence of linguistic variation.
Non-Target Metabolomics Revealed the Differences Between Sinopodophyllum hexandrum (Royle) Ying Growing in Two Different Environments
Authors: Li Yikang , Chen Chen , Zhao Min , Ma Luhua , Meng Xianchao , Xu Wenhua , Zhou Huakun
Published: October 2022

Sinopodophyllum hexandrum (Royle) Ying is a precious traditional herb medicine, which is used to treat rheumatism, bruises, menstrual irregularities, dysmenorrhea, abdominal pain, cough and other symptoms. It is also one of the raw materials for synthetic of anti-cancer drugs,
thus has high value. However, few studies have focused on the influence of different environments on S. hexandrum, especially the differences in metabolites. In this study, the ultra-high performance liquid chromatography-four-stage rod mass spectrometry (UPLC-ESI-MS/MS) was used to
detect the difference in chemical components of S. hexandrum roots growing in shrubland and canopy environments. The differential metabolites of S. hexandrum were obtained by multivariate statistical analysis methods using orthogonal partial least-squares discriminant analysis
(OPLS-DA). The results indicated that, S. hexandrum developed into two distinct ecotypes under different environment conditions, and their metabolism also changed accordingly. In both positive and negative modes, total 1003 compounds were detected, of which 136 compounds had significantly
changes. In shrubland and canopy environments, the content of Agremonine, esculetin-7-quinic acid, 5-methoxysalicylic acid, 5-(2-hydroxythyl)-2-O-glucosylohenol, 3,4-dihydroxyphenylethanol-glucopyranoside, 2-(3-D-glucopyranosyloxy-4-hydroxyphenyl) ethanol-glucopyranoside, 6-prenylapigenin,
13-hydroperoxy-otadecadienoic acid, saccharic acid were the most significant up-regulated metabolites. Moreover, there were 20 most enriched KEGG pathways including the biosynthesis of flavonoid, flavone, flavonol, phenylpropanoid, and secondary metabolites; and the metabolism of ascorbate
and aldarate. Overall, the results of this study will provide ideas for the cultivation of medicinal plants and the development and utilization of resources, and provide a new research approach for improving the content of target.
Matured Compost as an Exogenous Microbial Agent Promotes the Composting of Mushroom Residue
Authors: Guo Zikun , Xiong Feng , Hao Jinghong , Zhang Guoqing , Chen Qingjun , Fan Shuangxi , Liu Chaojie , Han Yingyan
Published: October 2022

The effects of different microbial inoculants on the compost of mushroom residue were studied, effective microorganisms (EM) and mature compost (M) were added as exogenous microbial inoculants, and no microbial inoculants were added as a control (CK). The results show that the treatment
with mature compost had the fastest heating, while the EM treatment maintained the longest high temperature. The pH of treatments EM and M increased rapidly in the early stage of composting, and treatment M was the first to reach a stable value about 7.8. The EC value of treatment EM was relatively
stable. The content of NH+4 gradually decreased, while NO−3 gradually increased from 0.174 g/kg. The humus content of treatment M was the highest, and E4/E6 was relatively stable. The addition of mature compost and EM can promote the composting
process of mushroom residue; furthermore, the effect of adding mature compost was better than that of EM.
Apoptosis inhibition in T-cell acute lymphoblastic leukemia by UNC13B
Authors: Wang Xiaobo , Yuan Lihua , Ye Yongbin , Lu Bo , Xu Xiaojun
Published: October 2022

T-cell acute lymphoblastic leukemia is a type of leukemia that is difficult to treat and has a complex pathogenesis, with no effective treatment currently available. This research group found that the mRNA expression of a new gene, UNC13B, was increased in T-cell acute lymphoblastic
leukemia patients. Subsequently, we used T-cell acute lymphoblastic leukemia Jurkat cells to study the mechanism of UNC13B. We constructed a lentiviral vector expressing siRNA to target UNC13B and transfected it into the T-cell acute lymphoblastic leukemia Jurkat cell line. Using
CCK-8, flow cytometry, and western blotting analyses, we found that knockdown of UNC13B inhibited the growth of T-cell acute lymphoblastic leukemia Jurkat cells via the downregulation of signaling proteins of the cell proliferation pathway and upregulation of apoptosis signaling proteins.
Based on the bioinformatics analysis results, we found that the mechanism of UNC13B responsible for promoting the growth of T-cell acute lymphoblastic leukemia can be experimentally achieved by triggering AK2, MAP3K7, and PINK1. This study demonstrates that UNC13B is a new potential
target for T-cell acute lymphoblastic leukemia.
Applications of nano materials in the treatment, prevention and detection of herpes virus: A review
Authors: Xu Yue , Huang Meiyuan , Chen Xiang , He Xuliang , Guo Xiushuang , Zhou Zepeng , Deng Yan , Li Song , Chen Zhu
Published: October 2022

Nano materials have more and more wide application in the field of biomedicine for their superior properties, such as strong antibacterial properties, small volume, large specific surface area, mobile adjustment in organisms, excellent display properties and conduction properties. This
article reviews application of nano materials in the treatment, prevention and detection of herpes virus. At the end of the article, we discuss some challenges in this field, in order to further promote better development of nano materials.
Composition optimization and characterization of combustible cartridge cases with polyvinyl acetate (PVAc) as a binder
Authors: Yang Tsung-Mao , Shih Chia-Wen , Hwang Chyi-Ching , Lu Kai-Tai
Published: October 2022

Combustible cartridge case samples composed of nitrocellulose (NC), polyvinyl acetate (PVAc), kraft cellulose (KC), dibutyl phthalate (DBP) and diphenylamine (DPA) were prepared to study their structures and chemical and mechanical properties. Taguchi’s experimental design method
was used to design the experimental formulations. First, simultaneous thermogravimetry-differential scanning calorimetry (STA TG-DSC), scanning electron microscopy (SEM), Brunauer–Emmett–Teller analyser (BET), bomb calorimeter (BC), vacuum stability tester (VST) and a tensile testing
machine (TTM) were employed to analyse the thermochemical characteristics, structure, explosion heat, chemical stability and compatibility, and mechanical strength of all formulated samples. Based on the analysis results, the weight loss of the combustible cartridge case sample obtained by
the TG experiment was chosen as the quality characteristic. The results of the Taguchi analysis indicated that the optimal parameter combination was an NC/KC weight ratio of 80:20, an NC/PVAc weight ratio of 85:15, an additional DPB of 3.5 wt.% and a density of 1.25 g/cm3. The results
of the chemical stability and compatibility test, explosion heat test and mechanical strength test show that the test samples prepared with the optimal parameter combination can meet the requirements of combustible cartridge cases. Furthermore, the combustion performance of the combustible
cartridge case sample prepared with the optimal formula was measured by a high-temperature combustion furnace (HTCF) and burning rate measurement device (BRM). The experimental results indicated that the autoignition temperature and ash content were 231 °C and 0.28%, respectively. In addition,
the burning rate increased with increasing combustion chamber pressure but was lower than that of ordinary gun propellants at the same pressure. These combustion characteristics can meet the quality requirement of combustible cartridge cases. Finally, an actual combustible cartridge case was
prepared and verified. The result of the performance verification test indicated that the average ash content was 0.30%, which was similar to that of the previous test samples and met the quality requirement.
Calculation method of representative value of inorganic binder strength based on combined standard uncertainty
Authors: Tang Li-Min , Peng Shou-Bo , Liao Bin
Published: October 2022

This paper analyzes the limitations of calculating the representative value using standard deviation. Based on the measurement uncertainty evaluation theory and method, this paper proposes to use the combined standard uncertainty to calculate the representative value instead of standard
deviation. In this way, the representative values of the test results from a certain guarantee rate based on the combined standard uncertainty can reflect the degree of dispersion of the series of test data values, and can also reflect the impact on the measurement objects, instruments, methods,
conditions and personnel on the test data. Taking the unbounded compressive strength and flexural tensile strength of inorganic binders on highway pavements as examples, a method of calculating representative values of unbounded compressive and flexural strength based on combined standard
uncertainty is established. The establishment of article conclusions, providing a new application path for national standards “Assessment and Expression of Measurement Uncertainty.”
Preparation of AgO hollow porous microsphere via the combination of hard templating, strong electrostatic adsorption and oxidation method and its bactericidal property
Authors: Shen Wen-Ning , Qiu Xin-Yu , Ge Yan-Feng , Feng La-Jun , Feng Hui , Zhai Zhe
Published: October 2022

Hollow architectures have attracted great attention owing to their huge inside space and good performances. In this work, AgO hollow porous microsphere is successfully synthesized through a combination method using low-cost fumed SiO2 nanospheres as a template. Silver diammine
ion is adsorbed onto the surface of fumed SiO2 nanospheres via strong electrostatic adsorption, and then converted into AgO@SiO2 composite sphere. The hollow porous structure is obtained by removing SiO2 core through NaOH etching. The removal amount of SiO2
can be controlled by increasing immersion time, resulting in the formation of loose porous shell and the decrease of shell thickness. However, the hollow porous structure is easy to collapse with excessive immersion. After 16 h immersion in NaOH solution, it obtained monoclinic AgO hollow
porous sphere with a size of ~1000 nm, a shell thickness of ~200 nm and a BET surface area of 24.50 m2 · g−1. The bactericidal activity of AgO can be significantly improved through such a hollow porous structure. Furthermore, the formation mechanism of AgO
hollow porous sphere was elucidated. The combination of strong electrostatic adsorption and removal of SiO2 template with sodium hydroxide is an effective and facile approach for preparing highly active AgO hollow porous microspheres.