bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Acupuncture Combined with Aerobic Exercise for Coronary Heart Disease as Cardiac Rehabilitation
Authors: Yang Yan , Li Yaoyao , Zheng Yuanyuan , Zhang Lei , Ma Wei , Shi Lingling , Kong Jingjing , Liu Xiaoli , Yu Hong
Published: March 2022

Background. The mortality of coronary heart disease continues to rise. Cardiac rehabilitation intervenes the risk factors of cardiovascular disease, improves cardiopulmonary function, maintains healthy psychology, improves the quality of life of patients, and reduces cardiovascular mortality. Objective. To explore the effect of acupuncture combined with aerobic exercise on cardiopulmonary exercise ability, blood lipid, fatty acid oxidation, and psychology in patients with coronary heart disease. Methods. Sixty patients with coronary heart disease from February 2018 to October 2020 were randomly divided into two groups: the control group and experimental group. The control group was given an exercise prescription, and the experimental group was given acupuncture combined with an exercise prescription. Before and after the intervention, the cardiopulmonary exercise test, blood lipid, carnitine acyltransferase (CACT), the Self-Rating Somatic Symptom Scale (SSS), the Generalized Anxiety Disorder-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9) of the two groups were compared. Results. The PHQ-9 score was better in the experimental group than in the control group. In both groups, after the intervention, the peak oxygen uptake and anaerobic threshold were increased, and blood lipid and PHQ-9 scores were decreased. In the experimental group, the carbon dioxide metabolic equivalent was decreased, CACT was increased, and SSS and GAD-7 scores were decreased, with statistical difference

P
<
0.05

. Conclusion. Acupuncture combined with aerobic exercise can improve the cardiopulmonary exercise ability, increase fatty acid oxidation, decrease blood lipid, and ameliorate anxiety and depression symptoms of patients with coronary heart disease as cardiac rehabilitation.
Low-Orbit Large-Scale Communication Satellite Constellation Configuration Performance Assessment
Authors: Sun Tianyu , Hu Min , Yun Chaoming
Published: March 2022

A constellation configuration performance evaluation method is proposed for the performance evaluation of the low-orbit large-scale communication satellite constellations. The practicality and feasibility analysis of the constellation configuration is mainly studied from the constellation coverage performance. Based on the consideration of the coverage performance of the LEO satellite constellation, four simulation models are established for the single coverage rate, observation elevation angle, number of visible satellites under different observation elevation angles, and coverage efficiency of the constellation. A population distribution density function is established according to the characteristics of population distribution to find the average minimum observation elevation angle and the average number of visible satellites under the population distribution. The evaluation method is applied to three typical low-orbit large-scale communication satellite constellations, Telesat, OneWeb, and Starlink, to derive the coverage performance index values of each constellation and to compare and analyze the characteristics of the three constellations. The results show that the evaluation method can evaluate the configuration performance of different types of LEO large-scale constellations and provide a basis and reference for the optimal design and evaluation of future LEO large-scale constellation configurations.
Dynamic Behavior of a Stochastic Tungiasis Model for Public Health Education
Authors: Kong Lili , Li Luping , Kang Shugui , Liu Youjun , Feng Wenying
Published: March 2022

In this paper, we study the dynamic behavior of a stochastic tungiasis model for public health education. First, the existence and uniqueness of global positive solution of stochastic models are proved. Secondly, by constructing Lyapunov function and using It formula, sufficient conditions for disease extinction and persistence in the stochastic model are proved. Thirdly, under the condition of disease persistence, the existence and uniqueness of an ergodic stationary distribution of the model is obtained. Finally, the importance of public health education in preventing the spread of tungiasis is illustrated through the combination of theoretical results and numerical simulation.
Effect of Early Rehabilitation and Nursing Intervention on the Rehabilitation Prognosis of Elderly Stroke Hemiplegia Patients in the Department of Neurology
Authors: Ning Min , Chen Fang , Wu Hui , Zheng Haihua , Zheng Chunmei , Li Shufen
Published: March 2022

Objective. To explore the influence of rehabilitation outcomes in older patients with stroke hemiplegia from the neurology department by early rehabilitation nursing. Methods. 70 cases of old patients with stroke hemiplegia from 2020/01 to 2021/01 were randomly divided into observation group (35 cases) and control group (35 cases). The control group was nursed by usual care. The observation group was nursed by early rehabilitation nursing. Nursing efficacy was observed. Results. The scores of active demand, resistance, and rehabilitation nursing cooperation degree after the nursing for the observation group were higher than the control group (

P
<
005

). The score of NIHSS after the nursing for the observation group was lower than that for the control group (

P
<
005

). The scores of BI, BBS, and Fugl-Meyer after the nursing for the observation group were higher than those for the control group (

P
<
005

). The total rate of nursing satisfaction for the observation group was higher than the control group (

P
<
005

). Conclusion. Early rehabilitation nursing can improve rehabilitation initiatives, rehabilitation outcomes, and nursing satisfaction in older patients with stroke hemiplegia from the neurology department.
Surgeons’ Perspective, Learning Curve, Motivation, and Obstacles of Full‐Endoscopic Spine Surgery in Thailand: Results From A Nationwide Survey
Authors: Kotheeranurak Vit , Liawrungrueang Wongthawat , Kuansongtham Verapan , Sriphirom Pornpavit , Bamrungthin Narongsak , Keorochana Gun , Pruttikul Pritsanai , Limthongkul Worawat , Singhatanadgige Weerasak , Pongmanee Suthipas , Arunakul Rattalerk , Ruangchainikom Monchai , Sasiprapha Phanunan , Chitragarn Roongrath , Pairuchvej Saran , Tanasansomboon Teerachat , Jitpakdee Khanathip
Published: March 2022

Objective. To report a nationwide survey of the endoscopic spine surgeons across Thailand. Furthermore, the survey will be focused on the perspective of experience, learning curve, motivations, and obstacles at the beginning of their practices. Materials and Methods. The online survey consisting of 16 items was distributed to spine surgeons who are performing endoscopic spine surgery in Thailand via the Google forms web‐based questionnaire to investigate participants’ demographics, backgrounds, experience in endoscopic spine surgery, motivations, obstacles, and future perspectives. The data was recorded from January 7, 2020 to January 21, 2022. Descriptive statistics were used for analysis. Results. A total of 42 surveys were submitted by 6 neurosurgeons (14.3%) and 36 orthopedic surgeons (85.7%). From the surgeons’ perspective, the average number of cases that should be performed until one feels confident, consistently good outcomes, and has minimal complications was 27.44 ± 32.46 cases. For surgeons who starting the endoscopic spine practice, at least 3 workshop participation is needed. Personal interest (39 selected responses) and trending marketing or business purpose (25 selected responses) were the primary motivators for endoscopic spine surgery implementation. Lack of support (18 selected responses) and afraid of complications (16 selected responses) were pertinent obstacles to endoscopic spine surgery implementation. Conclusions. The trend of endoscopic spine surgery has continued to grow in Thailand, shown by the rate of implementation of endoscopic spine surgery reported by Thai spine surgeons. The number of appropriate cases until one feels confident was around 28 cases. The primary motivator and obstacles were personal interest and lack of support.
Thermal Aeroelastic Tailoring for Laminated Panel with Lamination Parameters and JAYA Algorithm
Authors: Jin Peng , Zheng Qihao , Wei Wei
Published: March 2022

This work investigates thermal aeroelastic tailoring of a laminated composite panel with a lamination parameter-based method. Equivalent membrane and bending coefficients of thermal expansions for symmetric laminated panel are derived and represented with lamination parameters using Classical Laminated Plate Theory. The relationship between thermal flutter behavior and lamination parameters is examined. The optimization process is split into two stages. In the first stage, lamination parameters and laminate thicknesses are as design variables to minimize the structure mass, subject to thermal flutter behavior and feasible region constraints of lamination parameters. In the second-stage, instead of using conventional genetic algorithm, the enhanced JAYA method is extended to search the laminate configuration to target the optimal lamination parameters. The effectiveness of the presented method is demonstrated through a thermal aeroelastic tailoring problem.
Analysis of Coupling Effect and Heavy Load of High-Temperature Stability of Asphalt Mixture
Authors: Bai Lu , Zhang Yong-sheng , Luo Dai-song
Published: March 2022

To study the variation in the high-temperature stability of asphalt mixtures under extreme high temperature and heavy load, rut tests and analyses were carried out with both the APA (asphalt pavement analyzer) test and CLWT (Chinese wheel load test). In this paper, the relationship model between the dynamic stability of asphalt mixtures and the temperature, load, and binder viscosity is established; this model provides a method for evaluating the temperature stability of asphalt mixtures under nonstandard temperature conditions. The results revealed that the dynamic viscosity of an SBS-modified asphalt binder showed an exponential relationship with temperatures varying from 55°C to 70°C. Under a temperature condition from 55°C to 70°C and a pressure of 0.7 MPa, the dynamic stability of the asphalt mixture increased linearly with increasing temperature. The dynamic stability of the asphalt mixture exhibited a temperature inflection point at 65°C, and the decay rate was increased. The APA test results, which were used to evaluate the anti-rutting performance of the asphalt mixture on the basis of the ratio of the rutting depth difference to action times from 6000 to 8000, showed a good correlation with the CLWT test results. With a high temperature of 65°C and the pressure increasing from 0.7 MPa to 1.3 MPa, the dynamic stability of the asphalt mixture exhibited exponential decay. The variation laws of dynamic stability with temperature, load, and asphalt binder viscosity were revealed by complex logarithmic variation.
Prevalence of Intestinal Protozoa and Soil Transmitted Helminths Infections among School Children in Jaragedo Town, South Gondar Zone of Ethiopia
Authors: Wale Melaku , Gedefaw Solomon
Published: March 2022

Background. Parasitism is a relationship where one, the parasite, harms the host or lives at the expense of the host. Intestinal parasites (protozoa and STHs-soil-transmitted helminths) cause gastrointestinal tract infection in humans and animals. Intestinal parasitic infections (IPIs) predominate the tropics and subtropics and affect poor countries, where school children suffer the most. To prevent and control these infections, local risk factors must first be identified. The aim of the study was to determine the prevalence of intestinal parasitic infections and associated risk factors among school children in Jaragedo town schools, South Gondar Zone of Ethiopia. Methods. A cross-sectional study was conducted from October 2018 to April 30, 2019, involving 396 students from one elementary and one secondary school. Stratified simple random sampling method was used. A questionnaire was prepared to collect sociodemographic and socioeconomic data of the study subjects. Stool samples were collected and examined using formalin-ether concentration technique. Data were analyzed using SAS software version 9.4. Descriptive statistics were used to give a clear picture of population characteristics. Logistic regression was also used to determine the relationship between dependent variables (primary infection) with independent (explanatory) variables using SAS software. Results. Results showed that the overall prevalence of intestinal parasitic infections was 65.4%. E. histolytica was the most prevalent intestinal parasite (12–14%) followed by G. lamblia (8–9%); other parasites could not infect more than 5% of the study subjects. Generally, parasitism did not vary between the sexes. The logistic regression analysis showed that grade, level of students, water source, habit of consuming raw meat, and level of income had a strong effect on intestinal parasitic infection (

P
<
0.05

). Other explanatory variables were not significant (

P
>
0.05

). High prevalence of parasites indicates improper disposal of waste, low socioeconomic level, low living standard, and poor water quality. Conclusion. Therefore, short-term and long-term intervention strategies are required to minimize rates of infection.
Single-Segment Lumbar Intervertebral Disc Nucleus Excision on the Stability of Lumbar Segmental Sagittal Plane
Authors: Du Xiaobiao , Zhang Weifeng , Huang Guoshun , Han Feng , Li Xia , Li Jingguo
Published: March 2022

At present, lumbar disc herniation has become a problem that plagues people’s health, life safety, and social and economic development. Among them, the research of lumbar disc nucleus pulposus tissue is the focus of the treatment of lumbar disc diseases. At present, the treatment methods of lumbar disc herniation are divided into conservative treatment and surgical treatment, among which surgical treatment can be divided into open surgery and minimally invasive surgery. Surgical treatment to remove the nucleus pulposus from the disc by fenestration includes conventional ablation of the nucleus pulposus and microscopic lumbar discs. This treatment is effective, but it has a great impact on the stabilization mechanism of the spine, with large soft tissue damage and large blood loss, which can easily cause nerve damage and postdural adhesions. At the same time, single-segment lumbar discectomy has also been gradually applied to the treatment of this disease. Under this, this paper studies single-segment lumbar disc nucleus pulposus resection. The lumbar nucleus resection is performed in a single segment in the physiological load area, which can greatly ensure the stability of the sagittal plane of the lumbar spine. In order to better understand the postoperative rehabilitation and clinical effects of single-segment lumbar discectomy, as well as the changes in the sagittal plane of the lumbar vertebrae before and after the operation, so as to provide a reference for further improving the quality of life of patients, this paper uses questionnaire survey and data analysis methods. According to the results of the questionnaire survey, compared with other operations, single-segment lumbar discectomy is more stable in the sagittal plane of the lumbar spine within the physiological load range, and there is less displacement. The displacement may be caused or influenced by different kinds of factors such as heavy loads or manual labor. In addition, most patients have less abnormal pain after surgery, indicating that the surgery has a certain effect on the treatment of the disease, and there are fewer abnormalities after surgery.
Improvement towards Prediction Accuracy of Principle Mineral Resources Using Threshold
Authors: Qurban Maria , Almazah Mohammed M. A. , Nazir Hafiza Mamona , Hussain Ijaz , Ismail Muhammad , Al-Duais Faud S. , Amjad Sana , Murshed Mohammed N.
Published: March 2022

The production data of mineral resources are noisy, nonstationary, and nonlinear. Therefore, some techniques are required to address the problem of nonstationarity and complexity of noises in it. In this paper, two hybrid models (EMD-CEEMDAN-EBT-MM and WA-CEEMDAN-EBT-MM) flourish to improve mineral production prediction. First, we use empirical mode decomposition (EMD) and wavelet analysis (WA) to denoise the data. Second, ensemble empirical mode decomposition (EEMD) and complete ensemble empirical mode decomposition (CEEMDAN) are used for the decomposition of nonstationary data into intrinsic mode function (IMF). Then, empirical Bayesian threshold (EBT) is applied on noise dominant IMFs to consolidate noises, which are further used as input in the data-driven model. Next, other noise-free IMFs are used in the stochastic model as input for the prediction of minerals. At last, the predicted IMFs are ensemble for final prediction. The proposed strategy is exemplified using Pakistan's four major mineral resources. To measure the prediction performance of all the models, three methods, that is, mean relative error, mean square error, and mean absolute percentage error, are used. Our proposed framework WA-CEEMDAN-EBT-MM has shown improvement with minimum mean absolute percentage error value compared to other existing models in prediction accuracy for all four minerals. Therefore, our proposed strategy can predict the noisy and nonstationary time-series data with an efficient mechanism. Hence, it will be helpful to the policymakers for making policies and planning in mineral resource management.
Comparing the Effectiveness of Massive Open Online Course (MOOC) and Flipped Instruction on EFL Learners’ Reading Comprehension
Authors: Ahmed Alim Al Ayub , Kumar Tribhuwan , Iksan Muhammad , Subrahmanyam Satya , Kokhichko Andrey N. , Hussein Ali Muneam , Mhaibes Tuama Hussein , Sadat Mousavi Movahede
Published: March 2022

This study investigated the effects of massive open online course (MOOC) and flipped instruction on enhancing Iranian EFL learners’ reading comprehension. For that purpose, the Oxford Quick Placement Test (OQPT) was given to 123 Iranian EFL students, 90 of whom were chosen and separated into different experimental groups (EGs)—MOOC (n = 30) and flipped (n = 30)—and a control group (CG) (n = 30). As a pretest, all chosen groups were given a reading test. The MOOC EG was then given the online-delivered treatment utilizing Skyroom, in which a reading text was taught to the experimental participants online for every session. At a specific time, the online class was held and one text was worked, and the teacher explained the text online and the students asked their questions and problems immediately. The instruction was implemented to the flipped EG through a flipped instruction. They were sent the messages over WhatsApp since they all had quick access to it. The students were asked to practice and learn the texts both individually and in pairs before participating in the face-to-face class. The CG, on the other hand, was not given the Internet-delivered intervention; instead, they were instructed in a traditional face-to-face classroom. When the students attended the class, the teacher provided some background knowledge for them and then he started reading and translating the text, provided the meanings and definitions of the new words. Twelve English texts were taught to each group, and after teaching all texts, the posttest of reading was carried out to all three groups to determine the usefulness of the treatment on their reading comprehension. The one-way ANOVA test findings revealed a significant difference between the posttests of the EGs and the CG. The results showed that the EGs considerably outperformed the CG in the reading posttest (p.05). Furthermore, the findings revealed that there was no substantial difference between the posttests of the MOOC and the flipped groups.
Detection of Face Morphing Attacks Based on Patch-Level Features and Lightweight Networks
Authors: Long Min , Zhao Xuan , Zhang Le-Bing , Peng Fei
Published: March 2022

Aiming at the problem of face morphing attack detection under mobile and resource-constrained conditions, a face morphing detection method based on patch-level features and lightweight networks is proposed. It utilizes the combination of three blocks’ structures for learning. By outputting the probability of each bona fide or morphed face patches, the whole face features are integrated for recognition. Experimental results and analysis show this method can significantly improve the detection accuracy of face morphing attacks. Compared with the existing methods, this method has the characteristics of high computational efficiency and strong robustness. It has great application potential in enhancing the security of the face recognition system.
PCNL Combined with 3D Printing Technology for the Treatment of Complex Staghorn Kidney Stones
Authors: Liu Yubao , Song Haifeng , Xiao Bo , Hu Weiguo , Zhang Gang , Fu Meng , Li Jianxing
Published: March 2022

Objective. To explore the clinical application value of percutaneous nephrolithotripsy (PCNL) combined with 3D printing technology in the treatment of complex staghorn kidney stones. Methods. From January 2018 to February 2020, a total of 72 patients with complex staghorn kidney stones admitted to our center were divided into experimental group (3D printing group) and control group (computed tomography, CT, imaging group)) according to the random block method, and a prospective cohort study was conducted. Preoperative computed tomography urography (CTU) examination was performed on all patients in the two groups, and the original CT scan Digital Imaging and Communications in Medicine (DICOM) data of patients in the experimental group were separately extracted for three-dimensional reconstruction and 3D model printing and designed a doctor-patient communication evaluation score table. The two groups were compared in score table, puncture location time, total operation time, consistency between estimated calyx and target calyx, incidence of surgical complications, stone free rate, postoperative recovery, and other aspects. Results. Both groups completed preoperative CTU examination and showed good kidney and stone morphology. In the experimental group, all 3D printed models were completed and the internal anatomical structure could be clearly displayed. Simulation puncture and relevant measurement parameters could be obtained. The experimental group was significantly better than the control group in doctor-patient communication evaluation score, puncture location time, target calyx consistency, and stone free rate (

p

 < 0.05), and there was no statistical difference in total operation time, postoperative complications, and postoperative recovery. Conclusions. Individualized 3D printing technology can fully evaluate and design percutaneous renal access and stone clearing strategies before surgery. Compared with traditional preoperative imaging evaluation, 3D printing makes PCNL more accurate and efficient in the treatment of complex staghorn shaped kidney stones, with a high stone free rate at the first stage and better doctor-patient communication satisfaction.
Research on Music Content Recognition and Recommendation Technology Based on Deep Learning
Authors: Yang Gao
Published: March 2022

With the development of information technology, various cloud music services are gradually emerging, which has fully changed and enriched people’s music life. How to propose the songs that consumers anticipate from the enormous song data is one of the key goals of the music recommendation system. This research aims to create a better music algorithm that incorporates user data for deep learning, a candidate matrix compression technique for suggestion improvement, accuracy, recall rate, and other metrics as evaluation criteria. In terms of recommendation methods, the music-music recommendation method based on predicting user behavior data and the recommendation method based on automatic tag generation are proposed. The music features obtained by audio processing are fully utilized, and the depth content information in music audio data is combined with other data for recommendation, which improves the tag quality and avoids the problem of low coverage. The results show that this model can extract the effective feature representation of songs in different classification criteria and achieve a good classification effect simultaneously.
G-R Curves Based on Weibull Distribution
Authors: Wang Yubo , Yu Jie , Shen Gang , Wang Tiebin
Published: March 2022

China Earthquake time intervals have been calculated and passed the hypothesis test based on Weibull distribution. Comparative analyses have been carried out with the China Earthquake Catalogue according to different time intervals and different zones. From the results, we can see that the shape parameters are enlarged with the year’s extrapolation.

b

value curves and Amira images of the global plate subduction zones have been drawn, and the parameters of Weibull Distribution have been calculated. The relationship diagrams of

b

values and the parameters of Weibull Distribution of the whole subduction zones have been drawn.
Physical Educatity on Curriculum and Physical Education Model Based on Smart Classroom and Mobile Computing
Authors: Liu Xian
Published: March 2022

Physical education is an essential part of a child’s education. With the extensive reform of education in recent years, the old physical education teaching mode now faces a situation of low teaching efficiency, low student learning efficiency, low student interest, and lack of classroom participation, which is incompatible with the spirit of modern education and the needs of social development. Smart classrooms are emerging to meet the demands of the new curriculum reform. Smart classroom teaching is a good teaching concept: physical education teaching should reflect experience, generation, innovation, and morality. In physical education, the situational teaching method is a new teaching mode. It replaces the old boring and assembly-line teaching method with a method that allows students to take control of the classroom. Smart classrooms have emerged as a new hot spot in school information teaching due to the rapid development and widespread application of the new generation of information technology, as well as the deepening integration of information technology and teaching.
Application Effect Analysis of Operating Room Detailed Nursing Based on Medical Big Data in Patients Undergoing Gastrointestinal Tumor Surgery
Authors: Meng Yan , Sun Aixue , Ji Ge , Wei Caiye , Jia Junhong
Published: March 2022

With the continuous development of internet information computing, the continuous improvement of medical and health systems, and the continuous increase of medical big data, traditional operating room care also needs to be further optimized. Medical big data is a forum data set for medical industry healthcare, electronic medical record information, clinical case record information, medical financial data, remote patient monitoring data, clinical decision support data, medical insurance data set, online consulting platform, and so on. Gastrointestinal tumors are currently one of the largest malignant tumors. Compared with ordinary patients, the presence of fear, depression, irritability, and other unhealthy emotions in patients with gastrointestinal tumors will reduce the therapeutic effect. Without careful care, the use of chemotherapy and other treatments makes patients vulnerable to various side effects. This article aims to study the use of medical big data intelligent algorithms to perform detailed care for patients during gastrointestinal tumor surgery and analyze the effects of care. This paper proposes an improved DNN algorithm; the DNN algorithm is to use several weight coefficient matrices and bias vectors to perform a series of linear operations and activation operations with the input value vector, starting from the input layer, backward calculation layer by layer, until the operation reaches the output layer, and the output result is obtained. This algorithm is used to study the theory, use mathematical formulas for method calculation and model design, and use the model to carry out detailed nursing experiments in the relevant operating room. The results of the experiment show that patients who have performed detailed care have a 27.2% improvement in treatment and rehabilitation effects than those who have not, and the level of detailed care has an obvious positive relationship with the rate of condition conversion. In the end, the hospital’s detailed care quality evaluation index, which is QEI, increases by 1 point, which can increase the rate of condition conversion by 0.4.
The Anesthetic Effect of Ultrasound-Guided Serratus Anterior Plane Block in Arthroscopic Shoulder Surgery and Its Effect on Postoperative Analgesia
Authors: Zhu Hao , Zhang Chao , Yan Caoxin
Published: March 2022

Objective. To investigate the anesthetic effect of anterior serratus muscle plane block under ultrasound guidance in arthroscopic shoulder surgery and its effect on postoperative analgesia. Methods. A total of 94 patients who received arthroscopic shoulder surgery in our hospital were selected as the research subjects, and they were divided into a control group and a study group according to the random number table method. The control group underwent brachial plexus block under ultrasound guidance, and the study group underwent anterior serratus plane block under ultrasound guidance. The visual analogue score (VAS) of pain at each time point, intraoperative anesthetic dosage, the use of postoperative analgesic, pain mediators and oxidative stress factors before and after surgery, and the occurrence of adverse reactions were compared between the two groups after surgery. Results. At 6, 12, 48, and 72 h after surgery, there was no obvious difference in the VAS score between the two groups (

P
>
0.05

); 24 h after surgery, the VAS score of the study group was significantly lower than that of the control group (

P
<
0.05

). The intraoperative dosage of propofol and remifentanil in the study group was significantly lower than that in the control group (

P
<
0.05

). The number of effective compressions of analgesic pump and the total amount of sufentanil in the study group were significantly lower than those in the control group within 48 hours after operation, and the time of first compressions of analgesic pump was significantly longer than that in the control group (

P
<
0.05

). Before surgery, there were no significant differences in CGRP, NPY, and MDA levels and SOD enzyme activity between the two groups (

P
>
0.05

). After surgery, the levels of pain mediators CGRP and NPY in the study group were lower than those in the control group (

P
<
0.05

). The level of MDA was lower than that of the control group, and SOD enzyme activity was higher than that of the control group (

P
<
0.05

). There was no significant difference in the incidence of adverse reactions between the two groups (

P
>
0.05

). Conclusion. Ultrasound-guided anterior serratus plane block for arthroscopic shoulder surgery has a good anesthesia effect and long action time. It can significantly reduce the dosage of opioids, enhance the postoperative analgesic effect, effectively inhibit postoperative pain and oxidative stress reaction, and has good safety.
A Unit Probabilistic Model for Proportion and Asymmetric Data: Properties and Estimation Techniques with Application to Model Data from SC16 and P3 Algorithms
Authors: Eliwa Mohamed S. , Ahsan-ul-Haq Muhammad , Al-Bossly Afrah , El-Morshedy Mahmoud
Published: March 2022

In this study, a new one-parameter Log-XLindley distribution is proposed to analyze the proportion data. Some of its statistical and reliability properties, including moments with associated measures, hazard rate function, reversed hazard rate, stress strength reliability, and mean residual life function, are investigated in closed forms which help the researchers for modeling data in a small CPU time. It is found that the density function of the introduced distribution can be used as a statistical tool to model asymmetric data. Moreover, the failure rate function can be utilized to model different types of failures, including increasing, bathtub, and J-shaped. The model parameter is estimated using various estimation approaches to get the best estimator to help us in modeling the real data in a good way with high accuracy. A Monte-Carlo simulation study for different sample sizes is performed to assess the performance of the estimations based on some statistical criteria. Finally, two distinctive data sets from SC16 and P3 algorithms, “estimating unit capacity factors,” are analyzed to illustrate the flexibility of the new model.
The Utility of Circulating Tumor DNA (ctDNA) Monitoring in Cancer Patients Who Are Pregnant or Planning to Become Pregnant
Authors: Cohen Stacey A. , Kasi Anup , Hook Nicole , Krainock Michael , Budde Griffin , Malashevich Allyson Koyen , Meltzer Jeffrey , Jelsema Russ , Olshan Perry , Billings Paul R. , Aleshin Alexey , Poklepovic Andrew S.
Published: March 2022

The number of pregnant women with cancer is on the rise. These patients and their providers encounter complex medical management decisions. Standard-of-care systemic therapy and radiological imaging can impair fetal development and affect viability. Conversely, insufficient monitoring and treatment can lead to cancer progression, compromising the health of the patient. Personalized and tumor-informed circulating tumor DNA (ctDNA) testing (Signatera™, bespoke mPCR NGS assay) is a validated, noninvasive blood test that can accurately assess cancer progression and tumor response to treatment ahead of radiological imaging, across solid tumors. In this case series of four patients, we explore the clinical utility of longitudinal ctDNA testing in the medical management of pregnant patients with solid tumors, to aid in informed decision-making for patients and providers.
The Effect of Hydraulic Coupling on Mechanical Deformation Characteristics of Shallow Coal Seam in Western Mining Area
Authors: Ling Chunwei , Shi Xiaoshan , Wang Hao , Zhang Kangning , Ren Qingshan , Lv Yinghua
Published: March 2022

During coal mining, the mechanical and deformation behavior of the overburden is affected by water and stress. Therefore, it is of great significance to study the mechanical behavior of the surrounding rock under the action of hydraulic coupling. For high-intensity mining with shallow coal seam and large mining and strong strata behavior in stope, the hydraulic support is often damaged. Based on basic experiments and physical similarity simulations, overburden fracture in shallow coal seam in western mining area under hydraulic coupling was studied. The results show that under the loading rate range of 0.5~5 mm/min, the compressive strength of sandstone increases with the loading rate. The faster the loading rate, the shorter the duration of the rock sample being loaded and damaged, and the fewer the acoustic emission events. The first weighting step of the main roof of the working face is 54 m, the periodic weighting step is 12.75~28 m, and the average periodic weighting step is 22 m. There are only caving zone and fractured zone in the overburden of working face; the height of caving zone and fractured zone is 60 m and 168 m, respectively. The strength of the saturated sample is significantly reduced. During the excavation of the working face, the temperature difference between the fracture and the overburden value is ≥1°C, which can be used as a threshold for judging the development range of overburden fracture in similar simulation experiments.
Optimal Control of Whole Network Control System Using Improved Genetic Algorithm and Information Integrity Scale
Authors: Ma Xiaoya
Published: March 2022

WNCS (Whole network control system) is a network-based distributed control system. The control loop formed by the serial network usually includes several subcontrol systems. WNCS optimal control is a complex and multiparameter coupled highly nonlinear system. Combining the advantages of GA (genetic algorithm), neural network, and fuzzy control, a WNCS optimal control method based on improved GA is proposed. This scheme has both the strong global searching ability of GA and the robustness and self-learning ability of neural network. The simulation results show that the algorithm can keep the diversity of population genes and effectively restrain the premature convergence of the algorithm. On this basis, the optimal control problem of WNCS with short time delay with information integrity scale is studied. The model transformation is used to transform the long time-delay system into a formal nondelay nonlinear system, and then the transformed nondelay nonlinear system obtains the optimal control law that meets the infinite time-domain quadratic performance index without considering packet loss by successive approximation method. The simulation results verify the effectiveness and correctness of the compensation algorithm for nonlinear WNCS.
Sensitive Carbon Fiber Microelectrode for the Quantification of Diuron in Quality Control of a Commercialized Formulation
Authors: Mbokou Foukmeniok Serge , Bako Roland Fabrice Yibor , Ilboudo Ousmane , Karanga Yssouf , Njanja Evangéline , Pontie Maxime , Tapsoba Issa , Tonle Kenfack Ignas , Djouaka Rousseau
Published: March 2022

Nickel(II) tetrasulfonated phthalocyanine (p-NiTSPc)-modified carbon fiber microelectrode (CFME) was used for the first time to investigate the electrochemical quantification of diuron in an agrochemical formulation. The surface morphology and elementary analysis of unmodified carbon fiber microelectrode (CFME) and p-NiTSPc-CFME were performed using atomic force microscopy (AFM) and energy dispersive X-ray spectroscopy (EDX), respectively. Cyclic voltammetry (CV) was used to investigate the electrochemical behaviour of diuron, while square wave voltammetry (SWV) was used for quantitative analysis of diuron. Upon variation of some key analytical parameters, a calibration curve was plotted in the concentration range from 21.450 to 150.150 μM, leading to a detection limit (DL) of 8.030 μM mg/L (3.3σ/m) and a limit of quantification (LQ) of 20.647 μM mg/L. The fabricated p-NiTSPc-CFME was successfully applied for quality control in a commercialized formulation of diuron. The standard additional method was used, and the recovery rate of diuron was found to be 98.4%.
Status Epilepticus Secondary to Hypocalcemia Due to Vitamin D Deficiency
Authors: Tran Vinh Phu , Ton-Nu Van Anh , Nguyen Huu Son , Nguyen-Thi Diem Chi , Le-Thy Phuong Anh , Le-Binh Phuong Nguyen
Published: March 2022

Vitamin D deficiency is becoming more common around the world, owing to reduced sunshine exposure and an imbalanced diet. However, severe hypocalcemia as a result of vitamin D insufficiency is a rare occurrence, and it rarely leads to seizures in children. We present such a case in a 6-month-old infant who presented with status epilepticus secondary to hypocalcemia due to vitamin D deficiency, which was first misdiagnosed as epilepsy. Thereby, we want to emphasize that hypocalcemia secondary to vitamin D deficiency can lead to convulsion and the importance of vitamin D supplementation.
Alterations in the Experience of Time, Space, and Intersubjectivity and the Interaction with Pre-Existent Psychopathology during the COVID-19 Pandemic
Authors: Lau Inga , Schaefer Laura Melanie , Brons Stefanie , Koch Fabian , Utz Franca Johanna , Metodiev Stanislav , Meyer Anne-Louise , Rapp Nathalie , Lahmann Claas , Schmidt Stefan , Bauer Prisca Rachel
Published: March 2022

Background: The COVID-19 pandemic and the measures to protect the physically vulnerable may disproportionately affect people with mental health vulnerabilities, who receive psychotherapeutic inpatient treatment, as many of these measures impact the (inter)subjective space crucial to psychotherapy. Objective: We investigate how people with pre-existing mental health conditions and healthcare professionals experienced changes linked to the COVID-19 pandemic. Methods: During the first COVID-19 outbreak and lockdown in spring 2020, we conducted semi-structured interviews with patients and healthcare professionals at a clinic for psychosomatic medicine in Germany and analyzed them following the principles of descriptive phenomenology focusing on social interactions, intersubjectivity, and the therapeutic space. Results: We conducted a total of >30 h of interviews with 19 patients and 17 healthcare professionals. Analyses revealed that the COVID-19 pandemic and the related measures have led to a sudden loss of a sense of normality. Participants experienced changes in the perception of time, space, self, and embodied interaction with others, resulting in a profound feeling of alienation and “unhomeliness” which seemed to magnify pre-existing psychopathology. The inpatient psychotherapeutic environment provided safety by offering spatial and temporal structures and opportunities for social interaction, supporting people to find new ways to be in a changed world. Conclusions: Our study shows that despite the threat of infection, it is vital to continue to provide people with psychological vulnerabilities with a safe therapeutic space in which to regain a sense of safety in a changed world. This is particularly important, as those people seem to suffer intensely from the collateral measures of a pandemic.
Functional network antagonism and consciousness
Authors: Demertzi Athena , Kucyi Aaron , Ponce-Alvarez Adrián , Keliris Georgios A. , Whitfield-Gabrieli Susan , Deco Gustavo
Published: March 2022

Spontaneous brain activity changes across states of consciousness. A particular consciousness-mediated configuration is the anticorrelations between the default mode network and other brain regions. What this antagonistic organization implies about consciousness to date remains inconclusive. In this Perspective Article, we propose that anticorrelations are the physiological expression of the concept of segregation, namely the brain’s capacity to show selectivity in the way areas will be functionally connected. We postulate that this effect is mediated by the process of neural inhibition, by regulating global and local inhibitory activity. While recognizing that this effect can also result from other mechanisms, neural inhibition helps the understanding of how network metastability is affected after disrupting local and global neural balance. In combination with relevant theories of consciousness, we suggest that anticorrelations are a physiological prior that can work as a marker of preserved consciousness. We predict that if the brain is not in a state to host anticorrelations, then most likely the individual does not entertain subjective experience. We believe that this link between anticorrelations and the underlying physiology will help not only to comprehend how consciousness happens, but also conceptualize effective interventions for treating consciousness disorders in which anticorrelations seem particularly affected.
Preliminary comparisons of learning across four lemur genera at the Duke Lemur Center
Authors: Batist Carly H. , Mayhew Jessica A.
Published: March 2022

Lemurs have been relatively understudied in cognitive research despite representing an adaptive radiation and occupying a key phylogenetic position as the most basal extant primate lineage. Many of the existing studies have focused on only one lemur species. We aimed to take a comparative approach by examining learning abilities in 66 lemurs from four genera at the Duke Lemur Center in North Carolina. We used a novel two-action puzzle box to assess inter-species variation in learning speed, task proficiency, and social tolerance during trials. We found differences between genera in the percentage of individuals who had successes, individuals’ latency to touch the apparatus and the number of times an individual observed a group member’s success. Eulemur and Varecia had shorter latencies and were observed more by conspecifics compared to Propithecus and Lemur. Shorter latencies may indicate reduced fear or increased motivation, while higher observation rates suggest more leniency or tolerance around the puzzle boxes. These results may be due to species differences in dominance and rank hierarchies; Propithecus and Lemur are more despotic than Eulemur, where some species exhibit sex co-dominance, and Varecia, which live in groups with high fission-fusion dynamics. We also show that even within these overall relationships, the different genera varied substantially in the temporal trajectory of these learning variables through the study trials. Overall, this comparative study provides preliminary insights into the taxon-specific learning trajectories of lemurs and contributes to the growing body of literature examining lemur cognition.
On Knowing what one does
Authors: Raatzsch Richard
Published: March 2022

You can see me doing this or that. And your seeing me doing this or that is the source, or even the form, of your knowing what I am doing. As well as the source, or the form, of my knowing what you are doing might be my seeing you doing this or that. However, it would be strange to say that one is looking for what one is doing in order to know it. Nevertheless, it would also be strange to say that one does not know what one is doing when one is doing this or that. So, what is the source, or even the form, of one’s knowledge of what one is doing, given that one knows what one is doing? Or is there something strange about this being an assumption? When, then, do we say that one knows, and then also: that one does not know, what one is doing?
Leaf venation of living species of Persea (Lauraceae), with taxonomic and nomenclatural notes
Authors: MORAES PEDRO LUÍS RODRIGUES DE
Published: March 2022

With the aim of recognizing and identifying both fertile and sterile specimens of Persea, leaf venation patterns of 54 taxa were studied, 36 of them being described and illustrated for the first time. Analysis of a matrix of 12 leaf venation characters and 31 states distinguishes the taxa and can be used to detect misidentifications. Additionally, lectotypes for the names Laurus cordata, L. lingue (second-step), L. subcordata, Menestrata racemosa, Persea cordata var. microphylla, P. donnell-smithii, P. laevigata, P. lingue, P. nivea and P. rugosa are designated, and the identity of Persea microneura and the status of P. jariensis are clarified.
Thalictrum daguanense (Ranunculaceae) is merged with T. omeiense, a species distributed in Sichuan and Yunnan, China
Authors: ZENG YOU-PAI , YUAN QIONG , YANG QIN-ER
Published: March 2022

Based on critical observations on herbarium specimens (including type material) and living plants in the wild, we demonstrate that Thalictrum daguanense, described from Daguan county in northeastern Yunnan, China, is conspecific with T. omeiense, a species distributed in southwestern and southeastern Sichuan and northeastern Yunnan. We therefore reduce T. daguanense to the synonymy of T. omeiense herein.