bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pharmacists’ Views on Unmet Needs of Patients with Cancer and Pharmaceutical Care in Specialty Pharmacy: A Qualitative Analysis
Authors: Han Congxiao , Zhang Xinyi , Hu Xiaowen , Wu Caiying , Cai Yuchun , Zhao Yuxuan , Li Huangqianyu , Han Sheng , Nie Xiaoyan , Shi Luwen 
Published: March 2023

Abstract
Objectives
This study aimed to understand the perspective of pharmacists on cancer patients’ needs and the most meaningful pharmaceutical care in specialty pharmacies.
Methods
Semi-structured interviews were conducted with pharmacists working at hospitals and specialty pharmacies to survey their perspectives on unmet needs of cancer patients, the most valuable pharmaceutical care provided in specialty pharmacies, and strategies to improve pharmaceutical care. Thematic analysis was used for data analysis.
Results
Five pharmacists from hospitals and 30 pharmacists from specialty pharmacies were interviewed. Cancer patients’ most concerned but unmet needs included efficacy, safety, cost, accessibility of the medications, informational needs, and humanistic care. Difficulties hospitals might have in managing pharmaceutical care included conducting patient education, counseling, follow-up after hospital discharge, and supply for anticancer agents. Pharmacists claimed that the most valued pharmaceutical care measures provided in specialty pharmacies were financial assistance, medication supply, follow-up, patient education and counseling, information provision, and adverse drug reaction management. Pharmaceutical care in specialty pharmacies could be improved through continuing education for pharmacists in specialty pharmacies, the construction of patient communication platforms, and linkage with hospitals to collaboratively provide pharmaceutical care.
Conclusions
Cancer patients had plenty of unmet needs that remained uncovered by physicians and pharmacists at hospitals, for which specialty pharmacies can be an addition to provide comprehensive pharmaceutical care.
Artificial intelligence prediction of students' grades and personalized student training mechanism based on campus behavior sequence modeling
Authors: Wang Linyun 
Published: March 2023

Abstract
Academic performance is the most important and basic indicator to evaluate students' learning. Analysis of academic performance can help teachers master students' learning styles and specific states, so this is conducive to the diversity of teachers' teaching and to the individual situation of students. In order to better analyze the actual situation of students, this paper chooses artificial intelligence technology as technical support to build a prediction system of student behavior and performance. Secondly, based on the existing campus big data system, the student behavior characteristic data is extracted. After further optimizing the data, a dynamic evolution method based on student behavior sequence modeling is established, and an algorithm for predicting and evaluating student performance is developed. Finally, based on the behavioral data of 20 2020 students in a university from the autumn of 2021 to the spring of 2022, including life rules, consumption levels, social relations, entering the library and choosing public basic courses, this paper examines the prediction results of artificial intelligence on student performance. The results show that the system designed in this paper can build a performance prediction model through data mining technology, establish a personalized student training mechanism, and achieve the purpose of predicting student performance according to students' daily behavior, so as to improve students' academic performance. By studying the behavior sequence modeling in campus field, this paper designs a kind of student achievement prediction system using artificial intelligence, so as to better assist teachers in teaching.
Consistent Calculation from Particle Composition to Arc Simulation for Arc Ignition Process in Polymer Ablated Arcs
Authors: Nakano Yusuke , Tanaka Yasunori , Ishijima Tatsuo 
Published: March 2023

Abstract
The paper deals with the numerical simulation on polymer ablation phenomena during electric arc ignition process. The calculations from paticle composition of high-temperature polymer vapor to the electromagnetic thermofluid simulation were consistently performed. In the present paper, first, methods and calculation results of the particle compositions and the thermodynamic and transport properties of polymer vapors were described. Using the particle composition calculated, thermodynamic and transport properties and radiation power were also obtained, and subsequently the electromagnetic thermofluid simulation was performed with a model of one-side flow outlet. The calculation results showed the temporal changes in the arc temperature distribution and the mass fraction distribution of mixed polymer vapor for various polymer materials of PA6, POM and PTFE. The differences in time required for ablation and the results of particle composition, thermodynamic and transport properties calculated were discussed. In the present calculation, POM showed the best properties such as the highest arc voltage among the three polymers, which can be explained by the high ablation rate and characteristics of thermal conductivity of POM vapor contaminated arc.
Etiology and prognostic criteria of liver failure in southeast China: A multicenter retrospective cohort study between 2018 and 2020
Authors: Yan Yan , Lyu Chunyan , Han Jun , Kang Naling , Davgadorj Chantsalmaa , Ge Lina , Zhou Meifang , Zeng Dawu , Mao Richeng , Qiu Yuanwang 
Published: March 2023

Abstract
Background
The prognosis of patients with liver failure (LF) depends significantly on the etiologies and clinical indicators.
Methods
The retrospective cohort study included 637 LF patients between 2018 and 2020, including the subclasses of acute liver failure (ALF), subacute liver failure (SLF), acute-on-chronic liver failure (ACLF), subacute-on-chronic liver failure (SALF), and chronic liver failure (CLF). Multivariate logistic regression analysis was used to screen clinical indicators of death patients. We analyzed the receiver operating characteristic curves (ROCs) and cut-off values to assess prognosis criteria.
Results
HBV infection was present in 64.52% of LF patients. SALF (41.36%) is the main subclass of the hepatitis B virus-related LF (HBV-LF) group, while chronic liver failure (32.30%) is the main subclass of the non-HBV-related LF group in southeast China. Between 2018 and 2020, the incidence of HBV-LF decreased significantly, ranging from 72.36–59.74%, and the spontaneous survival rates of HBV-LF patients were substantially lower than those of the non-HBV-LF group (36.43 ~ 44.93% vs. 58.97 ~ 63.64%). Infection and cirrhosis were the primary causes of both groups. The age and total bilirubin value of the HBV-LF dead patients were significantly higher, and the number of days of hospitalization was significantly shorter than those of the survivors. The ages of the dead patients of the non-HBV-LF group were significantly higher than those of the survivors. The prothrombin time-international normalized ratio (PT-INR) of 2.05, 1.92, or 2.11, and antithrombin III (AT III) of 24.50%, which were proposed as prognostic criteria for the HBV-SALF, non-HBV-subacute liver failure, non-HBV-acute-on-chronic liver failure, and HBV-acute liver failure subclasses, respectively.
Conclusions
The incidence of HBV-LF is decreasing yearly. AT III, as a new prognostic criterion, has an excellent discriminative ability on the outcomes of the HBV-ALF subclass.
Citrus yellow vein clearing virus transmission by the black citrus aphid, Toxoptera aurantii
Authors: Maghsoudi Reza , Nassrollahnejad Saeid , Aghajanzadeh Sirous , Hashemian Seyed Mehdi Bani 
Published: March 2023

Abstract
Citrus yellow vein clearing virus (CYVCV) is a causal agent of yellow vein clearing disease that was first occurred in 1988 on lemon (Citrus limon) and sour orange (C. aurantium). Now CYVCV is widely distributed in the citrus orchards of Iran and reduces the yield and fruit quality of lemons. This virus can be transmitted by insects, grafting and mechanical ways. Citrus aphids including Aphis spiraecola, A. gossypii and, A. craccivora were already reported as vectors of the virus. In the present study, the transmission of CYVCV was investigated by the black citrus aphid, Toxoptera aurantii Boyer de Fonsc. (Hemiptera: Aphididae). T. aurantii were allowed to feed on infected Persian lime (C. latifolia) as donor plant with a 24h and uncertain acquisition access period (AAP). Then 20 adult aphids were transferred on each virus-free Eureka lemon seedlings as receptor plant with a 24 and 48 h inoculation access period (IAP). The results showed that, 3 months post-inoculation, the mean transmission rate of CYVCV by T. aurantii was 26.66% and 33.33% for 24h AAP/24h IAP and 24h AAP/48h IAP, respectively. 6 months later, the mean transmission rate was 26.66% and 36.66% for 24h AAP/24h IAP and 24h AAP/48h IAP, respectively. There was a significant difference in transmission rate between the two acquisition and inoculation access periods but did not differ between the 3 and 6 months after inoculation significantly. The present work confirmed that the virus is transmitted from citrus to citrus by T. aurantii in the greenhouse under controlled conditions.
Research on Bionic Force-saving Cutting Tool Based on Structure Characteristics of Limpet's Teeth
Authors: Ma Jing , Li Shengjie , Liu Qiang , Yang Shaocheng , Zhang Mingjian 
Published: March 2023

Abstract

Along with the transformation and upgrading of the manufacturing industry and the arrival of the industrial revolution, the structure of parts is becoming more and more complex, the variety of materials, the demand for cutting performance of tools is increasingly diversified, and the design and development of tools are facing many challenges. By studying the cutting phenomena in nature, scholars have discovered that the teeth and claws, etc., of living organisms have unique structural characteristics, the design and development of tools that mimic the structural features of living organisms have become a new research direction. In order to solve the problem of high energy consumption in the cutting process and to reduce the resistance of the cutting process, five bionic cutting tools were designed based on preparation and geometric feature extraction of limpet teeth and applying them to the design of the tool structure, using the cutting force as the cutting performance index, and exploring the cutting performance of the bionic tools by comparing them with ordinary tools. The cutting force analysis revealed that the No. 2 bionic tool had a significant force-saving effect, with a 16.2% reduction in cutting force. The effect of cutting parameters on the No. 2 bionic tool was investigated through single-factor experiments. The results show that a limpet bionic cutting tool with appropriate dimensional parameters has a significant force-saving effect and improves the tool's cutting performance.
Metformin induced M2 polarization to improve peripheral nerve regeneration by regulating AMPK/PGC-1α/PPAR-γ pathway
Authors: Luo Gaojie , Zhou Zekun , Li Cheng , Zhang Peiyao , Chen Wei , Li Xiaoxiao , Tang Juyu , Qing Liming 
Published: March 2023

Abstract
Peripheral nerve regeneration is a complex process that involves many signaling pathways, and M2 macrophage polarization was recognized to play a pivotal role in this process. The neuroprotective effects of metformin have attracted wide attention, but few reports focusedon the potentialeffects of metforminin immunomodulatory properties to improve the peripheral nerve regeneration by affecting M2 macrophage polarization. In this study, a rat model of sciatic nerve injury and an inflammatory model of bone marrow-derived macrophage (BMDM) cells were established to examine the potential mechanism of metformin treatment in peripheral nerve repair. Our research demonstrated that metformin treatment was able to accelerate functional recovery, axon regeneration and remyelination, and promote M2 macrophage polarization. In vivo, metformin could transform pro-inflammation macrophages into pro-regeneration M2 macrophages. It was also found that the levels of relative proteins of p-AMPK, PGC-1α, and PPAR-γ were significantly increased after metformin treatment. Moreover, the blockage of AMPK abolished the effects of metformin treatment on M2 polarization. Our data indicated that metformin promoted the macrophage polarization towards M2 phenotype by activating the AMPK/PGC-1α/PPAR-γ signaling axis so as to promote peripheral nerve regeneration. These findings may contribute to a more comprehensive understanding on the molecular mechanism of metformin treatment and its potential in peripheral nerve regeneration.
Potential of biological invasion for carbon sequestration in a protected area : the case of the Limbe Botanic Garden (LBG) forest, Cameroon
Authors: I Tchinmegni Felenou , Vartant Djeukam Pougoum Stelle 
Published: March 2023

Abstract
The Limbe Botanical Garden (LBG) is a relict urban forest located in the heart of the city of Limbe. This forest has many ecological, economic, social and tourist functions and is the green lung of the city of Limbé. Unfortunately, this forest has always been threatened by various anthropic pressures and more recently by invasive exotic species. These threats make us fear the progressive disappearance of this massif, which would be a threat to the plant and animal populations, the riparian communities and the ecosystem services such as carbon regulation. The general objective of our study is to assess the validity of the hypothesis of increased carbon sequestration of invasive species compared to native species. For the floristic inventory, twenty 100 m2 (10 m x 10 m) plots were set up in this LBG urban forest. We recorded information such as the number of adult and juvenile individuals and the diameter of trees greater than or equal to 10 cm. The inventory recorded 349 plant species. The most frequent species is Cyathea camerooniana with 92.3% presence. Cedrela odorata has a frequency of occurrence of 76.9% in this urban forest and a frequency of 60% in the LBG. This taxon has a very high above-ground biomass (187.4 tC/ha) and therefore the highest carbon storage capacity (93.7 tC/ha). It is followed by Diospyros crassifolia and Dialium pachyphyllum, both native species. Cedrela odorata has a positive impact on carbon sequestration and therefore contributes to the well-being of the people. However, the conclusion needs to be qualified because invasive species can influence the functioning of forests in the long term.
Regulation of redox profile and genomic stability by physical exercise contributes to neuroprotection in mice with experimental glioblastoma.
Authors: Marqueze Luis Felipe , Costa Amanda , Pedroso Giulia , Vasconcellos Franciane , Pilger Bruna , Kindermann Schellen , Andrade Vanessa , Alves Ana , Nery Tatiana , Aguiar Aderbal , Carvalhal Stephanie , Zazula Matheus , Naliwaiko Katya , Fernandez Luiz , Radak Zsolt , Pinho Ricardo 
Published: March 2023

Abstract
Glioblastoma is a very aggressive and common brain cancer. Previous studies have shown that changes in the brain's redox biology interfere with behavioral patterns and DNA damage. The results of these studies, however, have been inconclusive. To evaluate the effects of a physical training program on behavioral aspects, redox and genomic stability parameters in animals exposed to an experimental model of GBM. Forty-seven male C57BL/6J mice aged sixty days were randomly selected and divided into two groups (GBM and sham/placebo surgery), which were subsequently divided into four groups: untrained sham (Sut, n = 10), untrained GBM (Gut, n = 15), trained sham (Str, n = 10), and trained GBM (Gtr, n = 12). The trained animals performed 3 sessions, followed by a rest day, of moderate aerobic exercise on a treadmill for four consecutive weeks, while the untrained animals were kept in boxes during the experimental period. Behavioral indicators were evaluated with open field and rota rod tests. After the last training session, the animals were euthanized and brain, liver, bone marrow, and blood were collected for analysis of redox and genomic instability markers. The results showed higher latency values were sustained by the exercise in Gtr. The elevated levels of total reactive oxygen species in the parietal tissue of Gut animals were reversed after physical training. The Gtr group had a lower tail intensity. Physical exercise is a promise as an adjunctive therapy for the management of GBM by modulating redox parameters in the parietal tissue and reduces the genomic instability in liver and blood.
Heavy Metal Levels and Mineral Nutrient Status of Goji Berry (Lycium barbarum L.) from Nigde, Turkey
Authors: ESKİN Bülent 
Published: March 2023

Abstract
Lycium barbarum L. species have economic importance due to their medicinal properties and use as food. Therefore, this research aims to investigate some heavy metal and mineral nutrients (Al, Ba, Co, Cr, Cu, Fe, Mn, Ni, Pb, and Zn) status of this species. Heavy metals and mineral nutrients were analyzed in the plant and soil by using ICP-MS. In addition, the obtained results were evaluated with statistical methods. The determined values of the elementals (in mg/kg) were within ranges of 49.05-508.16 for Al, 1.8-82.58 for Ba, 0.62–2.56 for Cr, 0.11–1.05 for Co, 6.57–32.91 for Cu, 43.49-334.69 for Fe, 9.05-170.35 for Mn, 1.24–7.76 for Ni, 0.16–3.66 for Pb, and 15.89–62.27 for Zn in the plant parts. Correlation results were evaluated for the element contents in fruit-leaf-stem and soil samples. It is concluded that B, Al, Cr, Fe, Ni, Pb, and Zn in the soil positively correlated with Zn, Cr, and Fe found in the fruit and Ni, Zn, and Mn found in stem. Additionally, there is a significant negative relationship between Co and Cu in the soil and Co, Pb, and Ba elements in the leaves. The results of this study may contribute to future research to reach a better understanding on the element uptake and heavy metal accumulation status of species with nutritional and economic value. Moreover, statistical studies that consider the ecological and habitat characteristics of the plant will provide more detailed information about the life cycle of the plant.
Financial Exploitation in Canada: A Predictive Model using ML and AI
Authors: Wasdani Kishinchand Poornima , Lokanan Mark 
Published: March 2023

Abstract
The story of financial victimization and abuse of the elderly, women, and migrants is not new to Canada. However, its implications were given serious legal and social consideration only a decade back when reports on financial exploitation were published by Vancity Credit Union as “The Invisible Crime” in 2014 and as “Suffering in Silence” in 2017. These research studies pointed out that only 3% of the elderly population in Canada were aware of their financial abuse but there were at least 36% of the population that were not aware of being defrauded. National Survey on the Mistreatment of Older Canadians by the University of Toronto in 2015 estimated that by 2030, this crime would target at least 70% of the elderly and vulnerable population of Canada. Hence was the need for a model that could predict financial fraud, prevent victimization, and was practice friendly.
The review of literature pointed to a mix of personal, interpersonal, and institutional factors that increased the attractiveness of victims and the capacity of offenders. The present study uses machine learning and neural networks to develop a logistic regression model that could predict financial exploitation in Canada. Using the data from the Investment Industry Regulatory Organization of Canada, a predictive model based on the three highest predictors of financial exploitation in Canada-age, income, and total net worth was developed. It is difficult to imagine regulators in Canada not using the findings from this study to inform policies regarding financial regulation and victims' protection.
This study is also among the few studies that make a deep dive into the Canadian context and people making the prediction model available to policyholders and financial institutions for thwarting the attempts of defrauding the vulnerable sections of society in Canada notwithstanding the extension of the model to other economies.
Aquaculture 4.0: Hybrid Neural Network Multivariate Water Quality Parameters Forecasting Model
Authors: Eze Elias , Kirby Sam , Attridge John , Ajmal Tahmina 
Published: March 2023

Abstract

This study examined the efficiency of hybrid deep neural network and multivariate water quality forecasting model in aquaculture ecosystem. Accurate forecasting of critical water quality parameters can allow for timely identification of possible problem areas and enable decision-makers to take pre-emptive remedial actions that can significantly improve water quality management in aquaculture industry. A novel hybrid deep learning neural network multivariate water quality parameters forecasting model is developed with the aid of ensemble empirical mode decomposition (EEMD) method, deep learning long-short term memory (LSTM) neural network (NN), and multivariate linear regression (MLR) method. The presented water quality forecasting model is developed using multivariate time-series water quality sensor data collected from Loch Duart company, a Salmon offshore aquaculture farm based around Scourie, northwest Scotland. The performance of the novel hybrid water quality forecasting model is validated by comparing the forecast result with measured water quality parameters data and the real Phytoplankton data count from the aquaculture farm. The forecast accuracy of the results suggests that the novel hybrid water quality forecasting model can be used as a valuable support tool for water quality management in aquaculture industries.
Structure of the assemblage of fruit-feeding butterflies in a high Andean anthropogenic landscape
Authors: Álvarez Carlos Federico , Freitas André Victor Lucci , Iserhard Cristiano Agra , Giraldo Carlos Eduardo , Uribe Sandra Inés , Marín Mario Alejandro 
Published: March 2023

Abstract

The high Andean mountains are ecosystems subject to high human pressure activities, resulting in disturbed areas increasingly dominating the landscapes. However, there needs to have more knowledge about the contributions of different vegetation coverages and species to global diversity at the local level. For three consecutive years, we studied a guild of fruit-feeding butterflies in four different land covers (cloud forests, paramo, mixed anthropogenic habitats, and cattle pastures) in the northern Andes in Colombia, analyzing the diversity and structure of the butterfly assemblage in the region. The assembly showed significant differences between land covers. The mixed anthropogenic habitat was the richest in order q1 and q2 of diversity, and the cloud forest contained the higher abundance and species richness. Abundance shifted from forest to pasture, significantly reducing diversity in cattle pastures, with cloud forest and paramo containing the key endemic species. These results indicate the value of landscape diversity in providing resources and conditions required for the diversity conservation of high Andean butterflies.