bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical Behavior of Duloxetine Hydrochloride at Au and GC Solid Electrodes: Its Quantitative Determination and Degradation
Authors: Lović Jelena , Bogdanović Aleksandra , Tadić Vanja , Mijin Dušan , Vuković Dragan , Petrović Slobodan , Ivić Milka Avramov
Published: July 2022

Duloxetine hydrochloride (DUL) is effective in treating depression, and was examined for electroanalytical purposes. The DUL standard was investigated by cyclic voltammetry (CV) and determined using differential pulse voltammetry (DPV) via its electro-oxidation at the Au electrode in 0.05 M NaHCO3. DPV showed a linear dependency of the anodic peak currents vs DUL standard concentrations in the range from 0.1 to 3.33 μg ml−1 with the values of the limit of detection (LOD) and the limit of quantification (LOQ): 0.133 and 0.667 μg ml−1, respectively. Using the constructed and validated calibration curve, the values of unknown DUL concentrations in both Taita® tablets and in human serum spiked with the standard were determined. The number of protons and electrons transferred was calculated and possible reaction mechanisms taking place on the surface of both electrodes were proposed. The Au electrode exhibited a better sensitivity and a wider range of current vs concentration linear dependency for DUL quantitative determination than the GC electrode. The study of DUL degradation showed that at the Au and GC electrodes, after 4.5 h of potential cycling, degradation occurs, giving formaldehyde as a product, which was confirmed by high performance liquid chromatography (HPLC).
From Powder to Sheets: A Comparative Electrolyte Study for Slurry-Based Processed Solid Electrolyte/Binder-Sheets as Separators in All-Solid-State Batteries
Authors: Sedlmeier Christian , Kutsch Tobias , Schuster Robin , Hartmann Louis , Bublitz Raphaela , Tominac Mia , Bohn Moritz , Gasteiger Hubert A.
Published: July 2022

A key for the market penetration of large-scale and high energy All-Solid-State Batteries (ASSBs) are sheet-type cell components. Herein, we report a slurry-based process to obtain free-standing solid electrolyte (SE)/binder composite sheets as ASSB separators. We investigate three different sulfidic solid electrolyte systems (Li6PS5Cl, Li7P3S11 and Li10SnP2S12) in combination with a hydrogenated nitrile butadiene rubber (HNBR). By means of electrochemical impedance spectroscopy (EIS), the influence of separator composition and processing on the ionic sheet conductivity is evaluated. Independent of the solid electrolyte material, a reduction by a factor of three compared to the pristine powder conductivity at 70 MPa operation pressure and by a factor of eight compared to the maximum powder conductivity is observed. This can be attributed to the addition of the ionically isolating binder, which however is necessary for the production of freestanding sheets. We show the beneficial effect of pre-compressing the sheets to little porosity values on the apparent sheet conductivity. Lastly, we investigate and decouple the influence of fabrication and operating cell pressure on the produced separator sheets.
Electrodeposition of Amorphous Molybdenum Oxide on Iron-Group Element Based Plating and its Novel Application as a Corrosion Protective Coating
Authors: Park Jae-Hyeok , Hagio Takeshi , Nijpanich Supinya , Chanlek Narong , Chaiprapa Jitrin , Songsiriritthigul Chomphunuch , Songsiriritthigul Prayoon , Ichino Ryoichi
Published: July 2022

The corrosion resistance of materials composed of metal is an essential property for preventing material deterioration caused by corrosion. In this study, we demonstrate that corrosion resistance can be significantly improved through the electrodeposition of molybdenum oxide onto a metal plating containing iron-group elements. Mo oxide can be electrodeposited using a simple plating bath, low current density, and short deposition time, exhibiting a fascinating metallic gloss appearance. GI-XRD and XPS analyses revealed that amorphous Mo oxide adhered to the substrate by a seed layer partially reduced to metallic Mo by the iron-group element in the substrate, based on the principle of “induced co-deposition.” A Mo oxide coating with a thickness of approximately 100 nm decreases the corrosion current density of Ni-W plating by approximately 5 times and the passivation current density by approximately 10 times in a 3 mass% NaCl solution. Mo oxide coatings represent an attractive strategy for improving the corrosion resistance of various metal materials containing iron-group elements.
Complex Electrode Microstructure Simulations using a Smoothed Boundary Method with Adaptive Mesh Refinement
Authors: Malik Affan , Yu Hui-Chia
Published: July 2022

Lithium-ion batteries have gained significant attention in the research community due to their increasing utilization in various applications for energy storage. However, the dependence of macroscopic battery performance on microscopic electrode structures is not fully understood, thus hindering a systematic, comprehensive manner of optimizing electrode performance via the microstructures. Computer simulation can serve as a powerful tool to close the knowledge gaps in our understanding of microstructure phenomena. In this work, we present a smoothed boundary method (SBM) electrochemical simulation framework with adaptive mesh refinement (AMR). This method allows the use of mesh non-conforming to the domain of interest when solving the governing equations. Therefore, the arduous tasks of generating meshes conforming to the highly complex electrode microstructures required in the conventional sharp-interface methods can be circumvented. The accuracy of the SBM approach can be significantly enhanced with AMR. The material properties of Li
x
Ni1/3Mn1/3Co1/3O2 from literature data are parameterized to be the input of the simulations. One-dimensional and three-dimensional simulations are utilized to study the error behavior and demonstrate this framework’s capabilities. This simulation framework can be easily adapted and extended to study a wide variety of electrode microstructure phenomena in other electrochemical systems.
Statistical Inference for the Gompertz Distribution Based on Adaptive Type-II Progressive Censoring Scheme
Authors: Amein M. M. , El-Saady M. , Shrahili M. M. , Shafay A. R.
Published: July 2022

The topic of estimating the parameters of Gompertz distribution using an adaptive Type-II progressively censored data are described in this paper. The unknown parameters, the reliability, and the hazard functions are estimated using maximum likelihood and Bayesian estimation methods. The approximate confidence intervals of them are then determined. Furthermore, the Markov chain Monte Carlo approach is used to perform a Bayesian estimate procedure and compute the credible intervals. Finally, a Monte Carlo simulation study is done to assess the performance of the two estimating methods, and a numerical example with real data is shown to demonstrate the procedures’ utility.
Four Acid-Base Disturbances in a Critically-Ill Patient Undergoing Emergent Abdominal Surgery
Authors: Mavrothalassitis Orestes , Thind Balkarn S. , Agrawal Ashish
Published: July 2022

Lactic acidosis is common in critically-ill surgical patients, but not all perioperative acid-base imbalances are attributable to tissue hypoperfusion. Other causes of acid-base abnormalities can be missed when focused on acute resuscitation of a surgical pathology. This report presents the case of a 60-year-old woman with no past medical history who underwent exploratory laparotomy for umbilical hernia with incarcerated and perforated bowel whose perioperative management was complicated by four acid-base disturbances, including starvation ketosis. This case highlights the importance of early recognition of acid-base imbalances to explain concurrent medical pathology and accurately predict a patient’s expected post-operative course.
Feature Recognition and Style Transfer of Painting Image Using Lightweight Deep Learning
Authors: Tan Yuanyuan
Published: July 2022

This work aims to improve the feature recognition efficiency of painting images, optimize the style transfer effect of painting images, and save the cost of computer work. First, the theoretical knowledge of painting image recognition and painting style transfer is discussed. Then, lightweight deep learning techniques and their application principles are introduced. Finally, faster convolutional neural network (Faster-CNN) image feature recognition and style transfer models are designed based on a lightweight deep learning model. The model performance is comprehensively evaluated. The research results show that the designed Faster-CNN model has the highest average recognition efficiency of about 28 ms and the lowest of 17.5 ms in terms of feature recognition of painting images. The accuracy of the Faster-CNN model for image feature recognition is about 97% at the highest and 95% at the lowest. Finally, the designed Faster-CNN model can perform style recognition transfer on a variety of painting images. In terms of style recognition transfer efficiency, the highest recognition transfer rate of the designed Faster-CNN model is about 79%, and the lowest is about 77%. This work not only provides an important technical reference for feature recognition and style transfer of painting images but also contributes to the development of lightweight deep learning techniques.
Predictive Probability Models of Road Traffic Human Deaths with Demographic Factors in Ghana
Authors: Hesse Christian Akrong , Boyetey Dominic Buer , Ashiagbor Albert Ayi
Published: July 2022

Road traffic carnages are global concerns and seemingly on the rise in Ghana. Several risk factors have been studied as associated with road traffic fatalities. However, inadequate road traffic fatality (RTF) data and inconsistent probability outcomes for RTF remain major challenges. The objective of this study was to illustrate and estimate probability models that can predict road traffic fatalities. We relied on 66,159 recorded casualties who were involved in road traffic accidents (RTAs) in Ghana from 2015 to 2019. Three generalized linear models, namely, logistic regression, probit regression, and linear probability model, were used for the analysis. We found that gender and age groups have significant effects in predicting the probability of road traffic fatality for all three models. Through a likelihood ratio test, however, it was determined that the logit regression model produced consistent probabilities of traffic fatalities which are very close to the actual probability values across the age groups and gender, compared to the other two models. Thus, we recommend intensified campaign for the use of seat belts in vehicles, targeted at the aged and male users of road transport, to reduce the possibility of death in any RTA.
Effects of Mood Regulation on Sociodemographic Status, Exercise Pattern, and Physical Conditions of Chinese Adults and the Elderly
Authors: Lou Jingjing , Li Tong , Gao Xuefeng , Hu Ying , Chen Xiao , Yang Fan , Zheng Xiabing , Yang Weirui , Zheng Liangrong , Zhu Qi , Zhang Yaqi , Guan Nianhong
Published: July 2022

Objective. This study focused on mood regulations and their association with sociodemographic status, exercise pattern, and physical conditions of adults and older adults in China who did not undergo interventions. Method. Data were based on the 2016 to 2018 Guangdong National Physique Monitoring data, in which 5242 participants aged 20-69 years were recruited. Multiple statistical analysis methods, such as descriptive and logistic regression analyses, were used to study each exercise motivation and its association with influencing factors, including sociodemographic characteristics, exercise measurements, and physical conditions. An exercise index for mental health was also used to investigate the number and types of people who were more likely to meet the index. Results. We observed that 44.9% (2355/5242) of participants did not engage in physical exercise in this study. Only older participants (40 to 69 years old) and those with an average level of education (high school/technical secondary school) showed a significant association with exercising for mood regulation. Few people met the index that is good for mental health (16.64% [872/5242] met index 1, and 2.84% (149/5242) met index 2), and higher education showed a significant association with a reduction in the mental health burden and the prevention of depression. Conclusion. This study found that motivating people to be more active and educating them on the potential mental health benefits of exercise could help them to exercise more.
Design of Chinese Corpus Based on Semantic Mining Algorithm
Authors: Wu Di
Published: July 2022

In order to improve the practical effect of the Chinese corpus, this paper combines the semantic mining algorithm to design the Chinese corpus, proposes an ontology adaptive algorithm based on content learning, and conducts in-depth research on the model of the algorithm. Firstly, in view of the heterogeneity of web information structure and the chaotic nature of information organization, this paper proposes a web content extraction method to effectively remove noise information. Moreover, this paper analyzes an ontology-based text content parsing method, which uses the semantic parsing capability of the ontology to improve the semantic parsing capability of the text. Secondly, this paper proposes the BFA algorithm to optimize the BP neural network. The experimental research shows that the Chinese corpus system based on semantic mining proposed in this paper has a good practical effect and meets the actual needs of Chinese teaching and translation.
Practical Skills of Business English Correspondence Writing Based on Data Mining Algorithm
Authors: Liu Danqing , Habil Hadina
Published: July 2022

English correspondence writing has become a necessary skill for every scientific researcher and high-tech talents. An English correspondence writing auxiliary writing system can help nonnative English speakers make up for the lack of professional expression. The key factor of business English correspondence writing system is the construction of knowledge base. To improve the business English correspondence writing knowledge base, we need to mine frequent patterns of sentences in each category. The purpose of this topic is to improve and supplement the knowledge base for the business English correspondence writing system and propose frequent pattern mining for sentences in each category, so as to improve the writing knowledge base for the business English correspondence writing system. Firstly, we crawl a large number of business English letters and telegrams from the Internet, extract the relevant summary information, then store it, and preliminarily construct a corpus based on sentences. Then, we do some research on the structure of business English correspondence abstracts, mark the sentences in the corpus and count the relevant information, and have a certain understanding of their writing methods. Finally, we mine frequent patterns for sentences in each category, so as to improve the knowledge base of summary writing for the business English correspondence writing system. In the experiment, we use the classical FP growth algorithm as the mining method. The experiment shows that the frequent patterns between 3 and 6 words have been mined to a certain extent. By gradually improving the mining strategy, the quality of mining results has been improved and the writing effect of business English correspondence of scientific researchers has been improved.
Prediction of Postoperative Survival in Young Colorectal Cancer Patients: A Cohort Study Based on the SEER Database
Authors: Pan Sheng , Mei Wenchao , Huang Linfei , Tao Yan’e , Xu Jing , Ruan Yuelu
Published: July 2022

Objective. Our aim is to make accurate and robust predictions of the risk of postoperative death in young colorectal cancer patients (18-44 years old) by combining tumor characteristics with medical and demographic information about the patient. Materials and Methods. We used the SEER database to retrieve young patients diagnosed with colorectal cancer who had undergone surgery between 2010 and 2015 as the study cohort. After excluding cases with missing information, the study cohort was divided in a 7 : 3 ratio into a training dataset and a validation dataset. To assess the predictive ability of each predictor on the prognosis of colorectal cancer patients, we used two steps of Cox univariate analysis and Cox stepwise regression to screen variables, and the screened variables were included in a multifactorial Cox proportional risk regression model for modeling. The performance of the model was tested using calibration curves, decision curves, and area under the curve (AUC) for receiver operating characteristic (ROC). Results. After excluding cases with missing information (

n
=
23,606

), a total of 11,803 patients were included in the study with a median follow-up time of 45 months (1-119). In the training set, we determined that ethnicity, marital status, insurance status, median annual household income, degree of tumor differentiation, type of pathology, degree of infiltration, and tumor location had independent effects on prognosis. In the training dataset, taking 1 year, 3 years, and 5 years as the time nodes, the areas under the working characteristic curve of subjects are 0.825, 0.851, and 0.839, respectively, and in the validation dataset, they are 0.834, 0.837, and 0.829, respectively. Conclusion. We trained and validated a model using a large multicenter cohort of young colorectal cancer patients with stable and excellent performance in both training and validation datasets.
Implementation of Evidence in Preventing Postoperative Sore Throat of Patients Undergoing General Anesthesia Intubation Using the i-PARIHS Framework
Authors: Liu Qian , Wang Yiting , Zhuang Ruo , Bao Lei , Zhu Liqun , Zhou Yingfeng
Published: July 2022

Objective. The aim of the study was to assess the effectiveness of the implementation of the best evidence in preventing postoperative sore throat in patients undergoing general anesthesia intubation. Methods. The related topics of the postoperative sore throat of patients undergoing general anesthesia intubation were systematically searched in the database and evaluated using the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework. Combined with clinical needs and evidence-based professional judgment, 20 pieces of evidence and 6 examination standards on the management process and evidence implementation plan for the prevention of postoperative sore throat in patients with general anesthesia intubation are summarized, implementing the best evidence into clinical practice in anesthesiology, general surgery, orthopedics, thoracic surgery, and gynecology. Results. Nurses’ knowledge scores and evidence compliance significantly improved after the implementation of the best evidence (

P
<
0.05

); the incidence of the postoperative sore throat in patients undergoing general anesthesia intubation decreased from 41.7% to 28.1%. Conclusion. The i-PARIHS framework effectively prevents postoperative sore throat in patients, providing an effective case for translating evidence into practice based on the i-PARIHS framework.
Strongly Multiplicative Labeling of Diamond Graph, Generalized Petersen Graph, and Some Other Graphs
Authors: Nasir Sumiya , Idrees Nazeran , Sadiq Afshan , Bashir Farooq Fozia , Kanwal Salma , Imran Muhammad
Published: July 2022

A finite, simple graph of order k is said to be a strongly multiplicative graph when all vertices of the graph are labeled by positive integers 1,2,3, …, k such that the induced edge labels of the graph, obtained by the product of labels of end vertices of edges, are distinct. In this paper, we show that the diamond graph Brn  for 𝑛 ≥ 3, umbrella graph Um,n, and generalized Petersen graph GP(n, k), for n ≥ 3 and 1 ≤ k < (n/2), admit strongly multiplicative labeling. Moreover, strongly multiplicative labeling of a double comb graph and sunflower planar graph has also been investigated and elaborated as well with different examples.
Concomitant Statins and the Survival of Patients with Non-Small-Cell Lung Cancer Treated with Immune Checkpoint Inhibitors: A Meta-Analysis
Authors: Zhang Lei , Wang Hong , Tian Jizheng , Sui Lili , Chen Xiaoyan
Published: July 2022

Statins are suggested to improve cancer survival by possible anti-inflammatory effect. However, it remains unclear if concomitant use of statins could improve the efficacy of immune checkpoint inhibitors (ICIs) in patients with non-small-cell lung cancer (NSCLC). Accordingly, a meta-analysis was performed to systematically evaluate the effect of concomitant statins in NSCLC patients receiving ICIs. Relevant studies were obtained by literature search in PubMed, Embase, and Web of Science databases. A conservative random-effect model was used to combine the results. Eight cohorts including 2382 patients were included. The programmed death-1/ligand-1 inhibitors were used in seven studies; while the cytotoxic T-lymphocyte-associated protein 4 inhibitors were used in the other study. It was shown that concomitant use of statin did not significantly affect the progression-free survival (PFS, hazard ratio (HR): 0.86, 95% confidence interval (CI): 0.70 to 1.07,

P
=
0.17

; I2 = 62%) or overall survival (OS, HR: 0.86, 95% CI: 0.74 to 1.01,

P
=
0.07

; I2 = 29%) of NSCLC patients receiving ICIs. Subgroup analyses showed consistent results in studies with univariate or multivariate analytic models (

P

for subgroup analysis = 0.97 and 0.38 for the outcome of PFS and OS, respectively). In conclusion, concomitant use of statin seemed to have no significant influence on the survival of patients with NSCLC who were treated with ICIs.
The Principle of Mathematical Induction: Applications in Physical Optics
Authors: Thomas Joseph Ivin
Published: July 2022

The bare rudiments of the principle of mathematical induction as a method of proof date back to ancient times. In the contemporary university milieu, the demonstrative scheme is taught as part of a course in discrete mathematics, set theory, number theory, graph theory, group theory, game theory, linear algebra, logic, and combinatorics. In theoretical computer science, it bears the pivotal role of developing the appropriate cognitive skills necessary for the effective design and implementation of algorithms, assessing for both their correctness and complexity. Pure mathematics and computer science aside, the scope of its utility in the physical sciences remains limited. Following an outline of some elementary concepts from vector algebra and phasor analysis, the proofs by induction of a couple of salient results in multiple-slit interferometry are presented, viz., the fringe intensity distribution formula and the upper bound of the total fringe count. These specific optical instantiations serve to illustrate the versatility and power of the principle at tackling real-world problems. It thereby makes a welcome departure from the popular view of induction as a mere last resort for proving abstract mathematical statements.
Analysis of Soft Tissue Changes and Influencing Factors of Implant Absorption after Immediate Restoration of Anterior Teeth
Authors: Peng Guodong , Sun Xiaodong , Xu Xiang
Published: July 2022

Objective. Using a digital model, evaluate the changes in the soft tissue following rapid restoration of anterior teeth and analyze the factors impacting implant absorption. Methods. A retrospective analysis was performed on 84 patients who received immediate implant restoration for a single anterior tooth in the department of Stomatology of our hospital from April 2020 to August 2021. According to different surgical methods, they were divided into the study group (

n
=
42

) and control group (

n
=
42

). Immediate implant repair was given to the research group, while delayed implant restoration was given to the control group. The influence of the two surgical techniques on the alterations of soft tissues around implants was studied using a 3Shape oral scan and a digital model before and 1, 3, and 5 months after the operation, respectively. Patients in the study group were divided into the excellent group (

n
=
26

) and poor group (

n
=
16

) according to the test results of implant bone absorption, and the risk factors of poor implant absorption after immediate restoration of anterior teeth were analyzed by univariate and multivariate analyses. Results. The levels of 1 mm and 3 mm below the gum mucosa margin in the two groups increased gradually with the time, and the gingival level and soft tissue thickness at the lip of the baseline implant also increased gradually. However, the changes of soft tissue in the study group were better than those in the control group at 3 and 6 months after surgery (

P
<
0.05

). The PES score was significantly improved in both groups after treatment, and the aesthetic score was higher in the study group than in the control group (

P
<
0.05

). Univariate and binary logistic multifactor regression showed that smoking and poor implant health were the related factors affecting implant absorption (

P
<
0.05

). Conclusion. Immediate anterior tooth implantation and pharyngeal implant restoration can better restore the soft tissue and aesthetic degree of patients, but immediate implant restoration can more effectively restore the soft tissue, and controlling smoking and keeping clean around the implant after surgery is conducive to implant absorption.
Lambert‐Eaton Myasthenic Syndrome in Lung Cancer
Authors: Wang Yongbin , Xu Chuanguo , Wang Yu , Feng Feifei , Wang Hui , Zhang Ying , Lin Xiaojuan , Xu Bin
Published: July 2022

The aim is to study lung cancer with Lambert‐Eaton myasthenic syndrome (LEMS) with clinical and electrical characteristics of physiology and prognosis. Fourteen LEMS patients with lung cancer were studied retrospectively. The data including demographics, clinical presentation, treatments, and prognosis from the medical records were analyzed. Lung cancer coexisting with LEMS is more common in men (10/14). The median age was 67.1 years. Eleven (78.6%) patients experienced gradual onset of disease. Most patients presented nervous system lesions prior to occult tumors. The most common symptoms reported were proximal muscle weakness (92.9%), decreased or absent tendon reflexes (50%), and autonomic dysfunction (71.4%). All the patients showed reduction in action potential amplitude after repetitive peripheral never stimulation at low frequency and increased amplitude at high frequency. LEMS usually occurs prior to lung cancer with complicated and various clinical manifestations in our centers. We should improve awareness and knowledge of such disease to shorten the diagnostic delay and lead to few misdiagnoses.
Application of New Sensor Technology and Few-Shot Learning in Education Based on IoT Era
Authors: Feng Jianwen
Published: July 2022

In recent years, with the rapid development of emerging Internet of Things technology and short-range wireless communication technology, smart healthcare monitoring network technology has become a research hotspot. It provides convenience for people and enhances the development of people’s own healthcare awareness. This paper aims to study how to make its application in the field of smart healthcare education more applicable through the use of related technologies in the Internet of Things era and few-shot learning. For this reason, this paper proposes to optimize and improve the new sensor technology and the algorithm of few-shot learning, and to adjust some parameters as a whole. At the same time, related experiments and analysis are designed for the improved algorithm to study and understand its performance. The experimental results in this paper show that the improved algorithm improves its application effect by 36.9% and is relatively more applicable than the unimproved algorithm.
Workbench for a Parabolic Trough Solar Collector with a Tracking System
Authors: Fiamonzini Luciano A. , Rivas Gustavo A. R. , Ando Junior Oswaldo H.
Published: July 2022

Solar energy found abundantly in nature is considered a renewable energy source. It is also of great interest as an option for energy generation and CO2 emissions reduction. Several technologies of solar concentrating systems, known internationally as CSP (concentrated solar power), are found in the industrial and scientific environment. One of the most mature and internationally known technologies is the parabolic trough solar collector (PTSC), which has several applications, such as electricity generation, desalination, steam generation, and refrigeration systems, among others. However, more research and development (R&D) has been done to improve its performance, using new materials, absorber tube geometries, solar tracking systems, and work (thermal oils, nanofluids). Thus, the present work describes the development of a low-cost PTSC for academic and research purposes. The PTSC was built with an edge angle of 120°, an opening area of 2.2 m2, and a copper absorber tube of 42 mm in outer diameter without a glass envelope. The gutter structure is composed of wooden sheets cut in a parabolic shape, where a 1.2 mm-thick galvanized steel sheet coated with a reflective film is supported, thus functioning as the reflective surface of the PTSC. The solar tracking system is one of the active types with two axes containing photoresistive sensors, which are used to determine the solar position and electric actuators to correct the positioning of the gutter. The monitoring system was developed through an interactive panel to visualize the operating parameters of the sensing elements, thermocouples that measure the inlet and outlet temperature in the absorber tube, and the flow sensor to measure the flow of the heat transport fluid. Laboratory tests were performed with deionized water as a transport fluid, establishing two testing conditions. The first test condition analyzed the efficiency of the collector at different temperatures. Thus, the inlet temperature varied, between 30 and 70°C, presenting a flow of 0.020 kg/s. The second one evaluated the collector efficiency for different flows, subjecting the collector to flows from 0.002 to 0.030 kg/s. Thus, the proposed collector obtained an efficiency as a function of the temperature represented by the expression η = 0.324–2.47443

c
′

, where

c
′

is a parameter that relates the inlet temperature to the ambient temperature as a function of the solar radiation available. Yet, the efficiency in function of the flow became optimal when the flow regime became turbulent. It was concluded that the proposed solar collector obtained lower efficiency when compared with other collectors in the literature, which was assumed to be due to the diffusion losses of the parabolic trough reflector and thermal losses by convection in the parabolic trough absorber tube (optical efficiency, removal factor, and heat loss coefficient).
Impacts of Trace Metals Pollution of Water, Food Crops, and Ambient Air on Population Health in Zambia and the DR Congo
Authors: Muimba-Kankolongo A. , Banza Lubaba Nkulu C. , Mwitwa J. , Kampemba F. M. , Mulele Nabuyanda M.
Published: July 2022

Zambia and the DR Congo are situated in the central African Copperbelt, which is part of the Lufilian geological structure arc stretching over from Kolwezi in Katanga Province in the DRC to Luanshya in Copperbelt Province in Zambia. The area has large copper‐cobalt deposits of which the extraction causes severe ecosystem damage due to pollution of water, food crops, and the ambient air negatively impacting population health. Contamination of drinking water for domestic use and foods (cereals, roots and tubers, vegetables, and fruits) was determined by assessing the contents of trace metals including Mn, Ni, Pb, Zn, Co, As, U, Cd, and Cu and through a questionnaire for environmental damage. Food samples were analyzed by inductively coupled argon plasma/optical emission spectroscopy (ICP‐OES), while water and urine samples were analyzed by inductively coupled argon plasma mass spectrometry (ICP‐MS). Concentrations of Ni, Pb, and Cd were higher in almost all food crops, although Cu was more in samples of Cucurbita maxima and Amaranthus hybridus. Mean contents (μg/L) of Mn, Zn, Cd, Pb, and U were, respectively, 5,454.6, 2552.2, 138.7, 39.7, 2361.1, and 21.4 in the DRC and 108.9, 543.3, 0.3, 0.2, 1.5, and 0.5 in Zambia, being significantly higher and always far above World Health Organization maximum limits in the DRC. Urine samples taken only from the DRC contained trace metals with children’s samples being more contaminated than adult ones. Our results conclusively echo the most critical challenges of toxic pollutants causing numerous health issues among the population. Given an outcry among households adjacent to mines about land degradation and food spoilage, and health problems over years, joint efforts are needed from public and private sectors for stringent mining exploitation monitoring for sustainable governance to protect the environment and ensure food and nutrition safety, and population well‐being in Zambia and the DR Congo.
Music Emotion Recognition Model Using Gated Recurrent Unit Networks and Multi-Feature Extraction
Authors: Niu Nana
Published: July 2022

A large number of music platforms have appeared on the Internet recently. The deep learning framework for music recommendation is still very limited when it comes to accurately identifying the emotional type of music and recommending it to users. Languages, musical styles, thematic scenes, and the ages to which they belong are all common classifications. And this is far from sufficient, posing difficulties in music classification and identification. As a result, this paper uses the methods of music emotion multi-feature extraction, BiGRU model design, and music theme scene classification model design to improve the accuracy of music emotion recognition. It develops the BiGRU emotion recognition model and compares it to other models. BiGRU can correctly identify happy and sad emotion music up to 79 percent and 81.01 percent of the time, respectively. It goes far beyond Rnet-LSTM, and the greater the difference in emotion categories, the easier it is to analyze the feature sequence containing emotional features and the higher the recognition accuracy. This is especially evident in the accuracy with which happiness and sadness are recognized. It can meet users' needs for music recognition in a variety of settings.
Evaluation of the Therapeutic Effect of the Traditional Herbal Medicine Atrifil and Oshagh Gum on Testosterone-Induced Benign Prostatic Hyperplasia in Wistar Rats
Authors: Akbari Fatemeh , Azadbakht Mohammad , Gaurav Anand , Azimi Fatemeh , Mahdizadeh Zahra , Vahedi Lale , Barzegar Nejad Ayob , Chabra Aroona , Eghbali Mohammad
Published: July 2022

Benign prostatic hyperplasia (BPH) is a common disease that affects elderly men with various complications. This study evaluates the effects of an Iranian traditional herbal medicine “Atrifil and Oshagh gum” on BPH in male Wistar rats. Atrifil is a combination of three medicinal plants: Emblica officinalis Gaertn, Terminalia chebula Retz, and Terminalia bellerica Retz” extracts, and Oshagh gum is Dorema ammoniacum D. Dono gum. In this study, 30 male Wistar rats were divided into five groups: normal control, disease, finasteride, and extract with 300 and 600 mg/kg groups. The extract is a combination of hydroalcoholic Atrifil extract and Oshagh gum. All groups received intramuscular testosterone enanthate to induce BPH except the normal control group. On the twenty-eighth day, prostate glands were separated. Histopathological changes were observed. Furthermore, the prostate-specific antigen (PSA) and prostate weights were measured. The binding propensities of finasteride, equol, and flavonoids present in this extract such as quercetin, rutin, and kaempferol for 5α-reductase, estrogen receptor alpha and beta, and estrogen-related receptor gamma were assessed using in silico docking approach. Histopathological evaluation, biochemical parameter, and PSA level results indicated significant inhibition of accruing and progression of BPH in groups treated with 600 mg/kg extract (p<0.01). Furthermore, molecular docking showed that rutin had a high affinity to bind the receptors 5α-reductase, estrogen receptor beta, and estrogen-related receptor gamma even more than finasteride, and on average, quercetin had a higher affinity to all these receptors. In the end, it can be concluded that Atrifil and Oshagh gum is effective in preventing BPH.
Differential Diagnosis of Preinvasive Lesions in Small Pulmonary Nodules by Dual Source Computed Tomography Imaging
Authors: Yan Hongjun , Hua Ye , Zhang Tingcui , Liu Wen
Published: July 2022

This study was aimed to explore the differential diagnosis value of preinvasive lesions/minimally invasive adenocarcinoma and invasive adenocarcinoma manifesting as small pulmonary nodules under dual source computed tomography (DSCT) imaging. The patients with nodular manifestations of adenocarcinoma in situ (AIS)/microinfiltrating adenocarcinoma (MIA) were selected as group X, including 14 cases. A total of 31 cases with nodular infiltrating adenocarcinoma were selected as group Y. The enhanced dual-energy image obtained by DSCT dual-energy scan was transferred to the software to obtain the energy image and iodine distribution map. SPSS 18.0 was used for statistical analysis.

P
<
0.05

was considered statistically significant. All measurements were labeled as mean

x
͞
±
S

standard deviation. In the CT findings of microinfiltrating adenocarcinoma and infiltrating adenocarcinoma, lobulation sign, burr sign, vacuole sign, and pleural depression sign can help the diagnosis of infiltrating adenocarcinoma. The results showed that lobulation sign, burr sign, vacuole sign, and pleural depression sign could be used as the distinguishing feature of preinvasive lesion/microinvasive adenocarcinoma and invasive adenocarcinoma. Receiver-operating characteristic (ROC) curve analysis showed that the critical value, sensitivity, and specificity of lesion diameter ≥1.4 cm and CT value ≥14.14HU for diagnosis of invasive lung adenocarcinoma were 1.32 and 14.14, 88.4% and 94.4%, and 67.3% and 75.8%, respectively. There were substantial differences in CT values between the two groups under low energy level (42-99 kev) (

P
<
0.05

). DSCT dual-energy imaging can quantitatively identify preinvasive pulmonary nodules with multiple parameters.
Effects of Different Marine-Based Lipid Sources on Growth Performance, Activities of Digestive Enzyme, Antioxidant Responses, and Lipid Metabolism of Large Yellow Croaker (Larimichthys crocea) Larvae
Authors: Yao Chuanwei , Huang Wenxing , Liu Yongtao , Miao Youqing , Yin Zhaoyang , Mai Kangsen , Ai Qinghui
Published: July 2022

The study of lipid nutrition is an important guarantee for the development of high-efficiency artificial microdiet for fish larvae. Existing studies on lipid nutrition of larvae mainly focus on nutrient requirements and metabolism through a single lipid source. However, there are few reports on the effects of different marine-based lipid sources on fish larvae. In this study, a 30-day feeding experiment was conducted to evaluate the effects of different dietary marine-based lipid sources on survival, growth performance, appetite gene expression, activities of digestive enzyme, antioxidant responses, and lipid metabolism of large yellow croaker (Larimichthys crocea) larvae (initial weight4.71±0.21 mg). Four isonitrogenous (520 g/kg crude protein) and isolipidic (190 g/kg crude lipid) diets were formulated to contain fish oil (FO), krill oil (KO), squid viscera oil (SVO), and Schizochytrium sp. oil (SSO), respectively. Results showed that larvae fed with the SSO diet had significantly higher survival rate (SR) than those fed with dietary FO and SVO (P<0.05). However, larvae fed with the SSO diet had significantly lower final body weight (FBW) and specific growth rate (SGR) than those fed with other diets (P<0.05). Furthermore, larvae fed with the SSO diet had significantly higher percentage of total n-3 long-chain polyunsaturated fatty acids (LC-PUFA) than those fed with other diets, followed by KO and SVO diets (P<0.05). Larvae fed with the SSO diet had significantly lower mRNA expression of orexigenic genes (npy and ghrelin) and significantly higher mRNA expression of anorexigenic gene (cart) than those fed with dietary FO (P<0.05). Meanwhile, larvae fed with the SSO diet had significantly higher activity of alkaline phosphatase (AKP) in intestinal segments (IS) and brush border membrane (BBM) than those fed with dietary FO and SVO (P<0.05). Larvae fed with the SSO diet had significantly higher activity of total antioxidant capacity (T-AOC) than those fed with dietary FO (P<0.05). The TG content and mRNA expression of lipogenesis genes (srebp-1c, fas, and scd1) were markedly lower in larvae fed with SSO, KO, and SVO diets than in those fed with dietary FO (P<0.05). Meanwhile, larvae fed with KO and SSO diets had significantly higher mRNA expression of the lipolysis gene (cpt-1) than those fed with other diets (P<0.05). In conclusion, results of the present study showed that FO can be completely replaced in large yellow croaker larvae feed with KO and SVO without negative effects. Moreover, the complete replacement of FO by SSO can improve survival, activities of digestive enzyme, antioxidant responses, and lipid metabolism, despite inhibiting the appetite and growth of large yellow croaker larvae.
Construction of Enterprise English Adaptive Learning Platform Based on Big Data Analysis
Authors: Luo Chen
Published: July 2022

With the rise of “Internet+” as a national strategy, traditional industries have accelerated their integration with the Internet, and the education industry has also begun to seek innovative development. The fast-paced life of modern people makes time for learning more fragmented, and the high pressure of life makes people want to avoid excessive pressure from learning. These give opportunities and advantages to the development of online education, which is more adaptable to fragmentation and light weight. Online learning effectively solves the drawbacks of imbalance between supply and demand of offline education by solving the problems of time, distance, capacity, and scarcity of educational resources. In this paper, we take H International Education Group as the research subject. The paper combines the practice of precise English teaching theory and big data technology analysis tools to study the optimization of English teaching strategies in the K12 English training product market of H International Education Group. The materials prevalent in the English vocabulary market today are “one-size-fits-all,” presenting the same vocabulary resources to all learners without taking into account the differences in learning styles, learning preferences, and original cognitive structures of different learners.
Effects of Family Participatory Nursing on Clinical Outcomes of Premature Infants in NICU and Families’ Psychological Status
Authors: Liu Min , Xu Yanting , Li Yahong
Published: July 2022

The purpose of this study was to explore the effects of family participatory nursing on the clinical outcomes of premature infants in the neonatal intensive care unit (NICU) and their families’ psychological status. Total of 150 premature infants were admitted to the NICU of our hospital from December 2019 to December 2021, and their families were selected by convenience sampling method and divided into control group (n = 78, from December 2019 to December 2020) and observation group (n = 72, from January 2020 to December 2021) according to the admission time. The infants in the control group were given routine nursing, while those in the observation group received family participatory nursing. In the observation group, the length of stay and duration of oxygen therapy were shorter, the weight gain speed was higher, and the incidence rate of nosocomial infection was lower than those in control groups (P < 0.05). The time of reaching full gastrointestinal feeding was earlier, the daily milk intake and exclusive breastfeeding rate were higher, and the feeding intolerance rate was lower in observation group than those in control group (P < 0.05). Observation group exhibited significantly higher body weight, Z‐value of body weight, NBNA score at 7 d after hospitalization, 15‐month mental development index (MDI), and psychomotor development index (PDI) scores than control group (P < 0.05). In addition, the families’ somatization, depression and anxiety factor scores, and total score of SCL‐90 in the observation group were lower than those in the control group, while each dimension score and total score of MPOC‐20 were higher than those in control groups (P < 0.05). Family participatory nursing is of great significance in ameliorating the clinical outcomes of premature infants in the NICU, which can shorten the length of stay, improve feeding conditions, facilitate infant growth and development, and enhance their families’ psychological status and nursing satisfaction.
Performance and Emission Analysis of Common Rail Diesel Engine with Microalgae Biodiesel
Authors: Srinivasa Rao Yenda , Getachew Alenka Tsegaye
Published: July 2022

Modern common rail diesel engines are normally optimized with commercial diesel. As a result, the engine control unit’s calibration is established to achieve the best compromise between performances and exhaust pollutants. Biodiesel has a faster combustion rate and higher combustion chamber temperature than commercial diesel, which necessitates the injection of higher fuel volumes to compensate for the lower calorific value of biodiesel compared to regular diesel. This study showed that by adjusting the mapping of the engine control unit according to the fuel utilised, it is possible to improve the emissions and performance of a common rail diesel engine running on pure Botryococcus braunii algae oil biodiesel or a blend of biodiesel and commercial diesel.
Railway Fault Text Clustering Method Using an Improved Dirichlet Multinomial Mixture Model
Authors: Yang Ni , Zhang Youpeng
Published: July 2022

Railway signal equipment fault data (RSEFD) are one of the issues with in-depth traffic big data analysis throughout the life cycle of intelligent transportation. In the course of daily operation and maintenance, the railway electrical maintenance department records equipment malfunction information in a natural language. The data have the characteristics of strong professionalism, short text, unbalanced category, and low efficiency of manual analysis and processing. How to effectively mine the information contained in these fault texts to provide help for on-site operation and maintenance plays an important role. Therefore, we propose a railway fault text clustering method using an improved Dirichlet multinomial mixture model called ICH-GSDMM. In this method, first, the railway signal terminology thesaurus is established to overcome the inaccurate problem of RSEFD segmentation. Second, the traditional Chi square statistics is improved to overcome the learning difficulties caused by the imbalance of RSEFD. Finally, the Gibbs sampling algorithm for Dirichlet multinomial mixture model (GSDMM) is modified using an improved chi-square statistical method (ICH) to overcome the symmetry problem of the word Dirichlet prior parameters in the traditional GSDMM. Compared to the traditional GSDMM model and the GSDMM model based on chi-square statistics (CH-GSDMM), the quantitative experimental results show that the GSDMM model based on improved chi-square statistics (ICH-GSDMM internal)’s evaluation index of clustering performance has greatly improved, and its external evaluation indices are also the best, with the exception of external index NMI of data set DS2. Simultaneously, the diagnostic accuracy of a select few categories in RSEFD has considerably improved, demonstrating its efficacy.