bluuebunny/crossref_metadata_2025 huggingface dataset:
Oxytocin, Neural Plasticity, and Social Behavior
Authors: Froemke Robert C. , Young Larry J.
Published: April 2021

Oxytocin regulates parturition, lactation, parental nurturing, and many other social behaviors in both sexes. The circuit mechanisms by which oxytocin modulates social behavior are receiving increasing attention. Here, we review recent studies on oxytocin modulation of neural circuit function and social behavior, largely enabled by new methods of monitoring and manipulating oxytocin or oxytocin receptor neurons in vivo. These studies indicate that oxytocin can enhance the salience of social stimuli and increase signal-to-noise ratios by modulating spiking and synaptic plasticity in the context of circuits and networks. We highlight oxytocin effects on social behavior in nontraditional organisms such as prairie voles and discuss opportunities to enhance the utility of these organisms for studying circuit-level modulation of social behaviors. We then discuss recent insights into oxytocin neuron activity during social interactions. We conclude by discussing some of the major questions and opportunities in the field ahead.
Research experiences and online professional development increase teachers’ preparedness and use of effective STEM pedagogy
Authors: Stieben Margaret E. , Pressley Thomas A. , Matyas Marsha Lakes
Published: April 2021

Many national reports call for K-12 teachers to increase their content knowledge, expertise in student-centered learning methods, and skills in working with an increasingly diverse student population. Historically, most teacher professional development (PD) has not addressed these multiple challenges. We evaluated two PD models—research experiences for teachers and online PD—for their comparative impacts on middle and high school teachers’ understanding of, preparedness to use, and actual use of proven STEM teaching methods and STEM career information. The programs were unique in their focus on equipping teachers with a pedagogical “tool kit” that supports ongoing changes in teaching and assessment methods, STEM content, use of technology, and working with diverse students. Findings indicate that both program models increased teachers’ preparedness to use and their frequency of use of the targeted STEM teaching methods. Teachers who had summer research experiences gained additional benefits.
Team-based, problem-solving exercises using studies of diarrhea and oral rehydration encourage students to integrate knowledge of systems physiology
Authors: Langton Philip D. , MacMillan Frances M. , Palmer Zoe J.
Published: April 2021

We describe an inquiry activity that aims to develop students’ ability to interpret findings that span whole body systems and so encourage the integration of knowledge. The scenario we choose was the physiological challenge posed by diarrhea and the physiological mechanisms that underpin oral rehydration therapy. Before the staff-facilitated inquiry activity, students engage with an online information resource and complete a formative, but mandatory, prelaboratory quiz. These tasks encourage students to develop some mastery of the relevant physiology before the timetabled inquiry activity. The 3-h inquiry activity is driven by a paper workbook containing data from published studies, mainly from veterinary physiology, of the various consequences of diarrhea. Figures from published data are arranged so that, initially, the impact of dehydration on a single system (the cardiovascular system) could be appreciated. Integration with other systems (respiratory and renal systems) is then introduced progressively through the activity. The exercise is designed as a team-based inquiry activity that emphasizes the value of discussion to identify appropriate features for interpretation of the data. Students are obliged to complete a postlaboratory quiz within 5 days of the inquiry activity, serving to consolidate the students’ learning and provide staff with feedback on the attainment of intended learning outcomes. Marks from formative pre- and postlaboratory quizzes typically have a median mark in excess of 80% (pass mark is 50%), and qualitative feedback suggests that the majority of students recognized the value of the activity, despite simultaneously reporting that it was intellectually demanding.
Introducing reflective narrative for first-year medical students to promote empathy as an integral part of physiology curriculum
Authors: D Savitha , Anto Taniya , TV Sejil
Published: April 2021

Guided reflective narratives facilitate deeper understanding and learning. The study was aimed at exploring the scope of guided reflective narratives on early clinical exposure, for first-year medical students, in promoting empathy. Strengths and limitations of the process of reflective narratives were also explored. First-year medical students ( n = 150) were exposed to guided reflective narrative writing following each of the three “early clinical exposure” sessions integrated into a physiology curriculum. A feedback on the entire program was obtained through a semistructured questionnaire. The contents of the reflective narratives and feedback on the program were analyzed. Students empathized with the situation and needs of patients and caregivers and could relate to responsibilities and challenges faced by members of health care team. They realized the importance of cooperation from patients and caregivers and work efficiency, communication, behavior, and teamwork from members of healthcare and thereby emerged with the idea of the coordinated effort in patient care. Students opined that reflective narratives made them reflect and empathize with people and situations. Too many narrative writing sessions and hesitation to share their thoughts were some of the suggested limitations. The process led to emergence of a working model for guided reflections to promote empathy. Guided reflective narratives made students reflect and relate to people and situations. While promoting empathy, the reflections also gave them an idea of holistic approach to patient-centered care. Inferences led to a conceptual model for guided reflections to promote empathy among medical students.
Early restrictive fluid resuscitation has no clinical advantage in experimental severe pediatric acute respiratory distress syndrome
Authors: Ingelse Sarah A. , IJland Marloes M. , van Loon Lex M. , Bem Reinout A. , van Woensel Job B. M. , Lemson Joris
Published: April 2021

Intravenous fluids are widely used to treat circulatory deterioration in pediatric acute respiratory distress syndrome (PARDS). However, the accumulation of fluids in the first days of PARDS is associated with adverse outcome. As such, early fluid restriction may prove beneficial, yet the effects of such a fluid strategy on the cardiopulmonary physiology in PARDS are unclear. In this study, we compared the effect of a restrictive with a liberal fluid strategy on a hemodynamic response and the formation of pulmonary edema in an animal model of PARDS. Sixteen mechanically ventilated lambs (2–6 wk) received oleic acid infusion to induce PARDS and were randomized to a restrictive or liberal fluid strategy during a 6-h period of mechanical ventilation. Transpulmonary thermodilution determined extravascular lung water (EVLW) and cardiac output (CO). Postmortem lung wet-to-dry weight ratios were obtained by gravimetry. Restricting fluids significantly reduced fluid intake but increased the use of vasopressors among animals with PARDS. Arterial blood pressure was similar between groups, yet CO declined significantly in animals receiving restrictive fluids ( P = 0.005). There was no difference in EVLW over time ( P = 0.111) and lung wet-to-dry weight ratio [6.1, interquartile range (IQR) = 6.0–7.3 vs. 7.1, IQR = 6.6–9.4, restrictive vs. liberal, P = 0.725] between fluid strategies. Both fluid strategies stabilized blood pressure in this model, yet early fluid restriction abated CO. Early fluid restriction did not limit the formation of pulmonary edema; therefore, this study suggests that in the early phase of PARDS, a restrictive fluid strategy is not beneficial in terms of immediate cardiopulmonary effects.
Pulmonary hypertension is attenuated and ventilation-perfusion matching is maintained during chronic hypoxia in deer mice native to high altitude
Authors: West Claire M. , Wearing Oliver H. , Rhem Rod G. , Scott Graham R.
Published: April 2021

Hypoxia at high altitude can constrain metabolism and performance and can elicit physiological adjustments that are deleterious to health and fitness. Hypoxic pulmonary hypertension is a particularly serious and maladaptive response to chronic hypoxia, which results from vasoconstriction and pathological remodeling of pulmonary arteries, and can lead to pulmonary edema and right ventricle hypertrophy. We investigated whether deer mice ( Peromyscus maniculatus) native to high altitude have attenuated this maladaptive response to chronic hypoxia and whether evolved changes or hypoxia-induced plasticity in pulmonary vasculature might impact ventilation-perfusion (V-Q) matching in chronic hypoxia. Deer mouse populations from both high and low altitudes were born and raised to adulthood in captivity at sea level, and various aspects of lung function were measured before and after exposure to chronic hypoxia (12 kPa O2, simulating the O2 pressure at 4,300 m) for 6–8 wk. In lowlanders, chronic hypoxia increased right ventricle systolic pressure (RVSP) from 14 to 19 mmHg ( P = 0.001), in association with thickening of smooth muscle in pulmonary arteries and right ventricle hypertrophy. Chronic hypoxia also impaired V-Q matching in lowlanders (measured at rest using SPECT-CT imaging), as reflected by increased log SD of the perfusion distribution (log SDQ) from 0.55 to 0.86 ( P = 0.031). In highlanders, chronic hypoxia had attenuated effects on RVSP and no effects on smooth muscle thickness, right ventricle mass, or V-Q matching. Therefore, evolved changes in lung function help attenuate maladaptive plasticity and contribute to hypoxia tolerance in high-altitude deer mice.
Bilateral control of interceptive saccades: evidence from the ipsipulsion of vertical saccades after caudal fastigial inactivation
Authors: Bourrelly Clara , Quinet Julie , Goffart Laurent
Published: April 2021

Besides causing dysmetric horizontal saccades, unilateral inactivation of caudal fastigial nucleus causes an ipsipulsion of vertical saccades. This study is the first to quantitatively describe this ipsipulsion during saccades toward a moving target. By subtracting the effects on contralesional (hypometric) and ipsilesional (hypermetric) horizontal saccades, we find that this net bilateral effect is strongly correlated with the ipsipulsion of vertical saccades, corroborating the suggestion that a common disorder affects all saccades.
Genetic Mutation Analysis in Small Cell Lung Cancer by a Novel NGS‐Based Targeted Resequencing Gene Panel and Relation with Clinical Features
Authors: Jin Wang , Lei Zhao , Xu Sun , Fachen Zhou , Yixiang Zhang , Shilei Zhao , Tao Guo , Zhe Sun , Fengzhou Li , Su Wen-Hui , Chundong Gu
Published: April 2021

Background. Small cell lung cancer (SCLC) is an aggressive and invasive malignancy that presents at advanced clinical stage with no more effective treatments. Development of a method for its early detection would be useful, also new therapeutic target need to be discovered; however, there is a lack of information about its oncogenic driver gene mutations. Objectives. We aim to identify the SCLC‐related genomic variants that associate with clinical staging and serum protein biomarkers observed in other types of lung cancer. Methods. We screened formalin‐fixed paraffin‐embedded (FFPE) biopsy tissues of 32 Chinese SCLC patients using the 303 oncogenic driver gene panel generated by Tiling PCR amplification sequencing (tPAS) and analyzed the patients’ corresponding serum protein levels of CYFRA21‐1 CEA, NSE, and SCCA. Results. In total, we found 147 SCLC‐related mutant genes, among these, three important genes (TP53, RB1, KMT2D) as well as five novel genes LRRK2, BRCA1, PTCH1, ARID2, and APC that altogether occurred in 90% of patients. Furthermore, increased mutations to 6 genes (WT1, NOTCH1, EPHA3, KDM6A, SETD2, ACVR1B) significantly associated with higher serum NSE levels (P = 0.0016) and higher clinical stages II + III compared to stage I (P = 0.06). Conclusions. Our panel is relatively reliable in detecting the oncogenic mutations of Chinese SCLC patients. Based on our findings, it may be possible to combine SCLC‐related mutations and serum NSE for a simple detection of clinical staging.
Intelligent Spectrum Management and Trajectory Design for UAV‐Assisted Cognitive Ambient Backscatter Networks
Authors: Liu Jiazhou , Xiao Sa , Guo Huayan , Zhou Xiangwei , He Shixin
Published: April 2021

In this paper, we consider a novel Internet of Things (IoT) system in smart city called unmanned aerial vehicle‐ (UAV‐) assisted cognitive backscatter network, where a UAV is employed as both a relay and a radio frequency source to help the data transmission between ground IoT backscatter devices (BDs) and a remote data center (DC). However, since the IoT applications are usually not assigned dedicated spectrum resource in smart cities, these data transmissions from BDs to the DC should share the licensed spectrum of cellular users (CUs). Therefore, we aim to maximize the minimum uplink throughput among all BDs while avoiding severe interference to CUs via joint spectrum management and UAV trajectory design. To solve the problem, we propose an iterative method utilizing block coordinated decent to partition the variables into two blocks. For the spectrum management problem, we first prove its convexity with the transmit power and time scheduling and then propose a two‐step method to solve the two variables sequentially. For the UAV trajectory design problem, we resort to the fractional programming method to handle it. Simulation results demonstrate that the proposed algorithm can significantly increase the average max‐min rate of the BDs while guaranteeing the acceptable interference to CUs with a fast convergence speed.
Effect of Different Activators on Rheological and Strength Properties of Fly Ash‐Based Filling Cementitious Materials
Authors: Fangfang Liu , Xiyang Feng , Li Chen
Published: April 2021

In this paper, lime, gypsum, NaOH, and Na2SO4 are mainly used to study the activation degree and activation mechanism of fly ash, and L9 (34) orthogonal table is used for the orthogonal test. The influence of different activators on the rheological and strength properties of slurry was analyzed. The microstructure and hydration products of fly ash cement cementitious body were studied by SEM and XRD. The results show that the bleeding rate of slurry containing activator fly ash system is between 2.24% and 3.37%, which is much higher than that of pure cement slurry (9.25%). Therefore, the addition of this system can improve the fluidity of slurry, and the optimal scheme is a3b2c2d2. The results show that the compressive strength of cement with activator fly ash system is much lower than that of pure cement, but the increase of strength is between 31% and 85%, which is much greater than that of pure cement (35%–46%). The optimal scheme is A2B2C3D3 or A3B2C3D3 at 3 days and A1B3C2D3 at 28 days. According to the scanning results of SEM and XRD, the addition of activator can significantly improve the hydration degree of fly ash and form a more complex network structure without obvious gap.
Multibody Modeling Method for UHV Porcelain Arresters Equipped with Lead Alloy Isolation Device
Authors: Su Xiaochao , Hou Lei , Zhu Zhubing , Chen Yushu
Published: April 2021

This paper presents a multibody modeling method for seismic analysis of UHV porcelain surge arresters equipped with a kind of seismic isolation device. An UHV arrester is modeled as a planar multibody system whose number of DOF is equal to the number of the arrester units. Joint coordinate method is adopted to construct the governing equations of motion. The seismic isolation device utilizing a number of lead alloy dampers as its core energy dissipation components is also investigated. An analytical model of this device is given by modeling each lead alloy damper as a hysteretic spring and reducing the entire device to a planar system consisting of a range of hysteretic springs. Its mechanical characteristic is derived theoretically, and the obtained moment‐angle relationship is expressed as a system of differential algebraic equations. The initial rotational stiffness of the device is formulated in terms of the structural and mechanical parameters of the device. This analytic expression is used in estimating the fundamental frequency of the isolated equipment. By this modeling method, it is easy to construct the governing equations of motion for the isolated system. An UHV arrester specimen is analyzed by this proposed method. The effectiveness of the isolation device in terms of reducing the internal base moment is significant and the influence of system parameters on the effectiveness is also discussed. The proposed method shows its potential usefulness in optimal design of the isolation device.
Investigation of Freeze‐Thaw Resistance of Stabilized Saline Soil
Authors: Zhou Yongxiang , Guan Qingfeng , Yan Peiyu
Published: April 2021

In this paper, three freezing‐thawing tests are designed to study the freeze‐thaw resistance of stabilized sulfate type saline soil. The results show that different destructive modes and erosion extents are caused by different freeze‐thaw conditions. The destructive effect from salt tends to be limited if there is no external water intrusion. When sufficient water is provided, ice expansion, dissolution recrystallization of salts, and ettringite growth during the thawing phase may take place. Soil water potential is used for analysis and explanation of the driving force and water migration in the stabilized soil. Pressure potential caused by the air sealed in the stabilized soil specimen leads to early water concentration in the outer parts of the specimen, and the surface layer is first eroded under the freeze‐thaw cycles. A high percentage of soil stabilizer can improve the freeze‐thaw resistance of stabilized soil, but a sufficiently long curing period plays a more important role. This study provides useful insights for improving the freeze‐thaw resistance of solidified saline soil in road engineering.
Identifying Infliximab‐ (IFX‐) Responsive Blood Signatures for the Treatment of Rheumatoid Arthritis
Authors: Ding ShiJian , Li ZhanDong , Zeng Tao , Zhang Yu-Hang , Huang Tao , Cai Yu-Dong
Published: April 2021

Rheumatoid arthritis (RA) is a severe chronic pathogenic inflammatory abnormality that damages small joints. Comprehensive diagnosis and treatment procedures for RA have been established because of its severe symptoms and relatively high morbidity. Medication and surgery are the two major therapeutic approaches. Infliximab (IFX) is a novel biological agent applied for the treatment of RA. IFX improves physical functions and benefits the achievement of clinical remission even under discontinuous medication. However, not all patients react to IFX, and distinguishing IFX‐sensitive and IFX‐resistant patients is quite difficult. Thus, how to predict the therapeutic effects of IFX on patients with RA is one of the urgent translational medicine problems in the clinical treatment of RA. In this study, we present a novel computational method for the identification of the applicable and substantial blood gene signatures of IFX sensitivity by liquid biopsy, which may assist in the establishment of a clinical drug sensitivity test standard for RA and contribute to the revelation of unique IFX‐associated pharmacological mechanisms.
[Retracted] Digital Art Feature Association Mining Based on the Machine Learning Algorithm
Authors: Wu Zhiying , Chen Yuan
Published: April 2021

With the development of computer hardware and software, digital art is a new discipline. It uses computers and digital technology as tools to perform artistic expression. It can be expanded to various binary numerical codes with computers as the center and can also be refined to various categories of creation with computers. The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined and analyzed for feature correlation. Based on the hidden association relationship of massive data, the study focuses on the implicit association mining of digital art features of data for the recommendation algorithm. The classification and continuous data feature attributes are introduced and discretized, and the binary representation of data features is extended to ensure the diversity of data feature attributes. In order to mine some correlation features in data, a heuristic feature mining method based on minimum support was studied to discover the frequency of correlation features and construct the optimal feature subset. Based on the frequent items of data features, this study observes the heuristic algorithm of digital art feature association mining based on minimum confidence and carries out feature matching based on digital art feature association mining under different situation modes. The validity of the proposed algorithm is verified by using the experimental data of health and medical situations in the machine learning library.
Cooperative Evolution Mechanism of Unmanned Swarm within the Framework of Public Goods Game
Authors: Yu Minggang , He Ming , Ma Ziyu , Zou Mingguang , Wan Lei , Kang Kai
Published: April 2021

One of the key advantages of unmanned swarm operation is its autonomous cooperation. When the communication is interrupted or the centralized control manner is lost, the cooperative operation can still be carried out orderly. This work proposed a cooperative evolution mechanism within the framework of multiplayer public goods game to solve the problem of autonomous collaboration of unmanned swarm in case of failure of centralized control. It starts with the requirement analysis of autonomous cooperation in unmanned swarm, and then, the evolutionary game model of multiplayer public goods based on aspiration-driven dynamics is established. On this basis, the average abundance function is constructed by theoretical derivation, and furthermore, the influence of cost, multiplication factor, and aspiration level on the average abundance is simulated. Finally, the evolutionary mechanism of parameter adjustment in swarm cooperation is revealed via case study, and deliberate proposals are suggested to provide a meaningful exploration in the actual control of unmanned swarm cooperation.
Research on Sports Performance Prediction Based on BP Neural Network
Authors: Yang Sitong , Luo Lina , Tan Baohua
Published: April 2021

Artificial neural network has the advantages of self-training and fault tolerance, while BP neural network has simple learning algorithms and powerful learning capabilities. The BP neural network algorithm has been widely used in practice. This paper conducts research on sports performance prediction based on 5G and artificial neural network algorithms. This paper uses the BP neural network algorithm as a pretest modelling method to predict the results of the 30th Olympic Men’s 100m Track and Field Championships and is supported by the MATLAB neural network toolbox. According to the experimental results, the scheme proposed in this paper has better performance than the other prediction strategies. In order to explore the feasibility and application of the BP neural network in this kind of prediction, there is a lot of work to be done. The model has a high prediction accuracy and provides a new method for the prediction of sports performance. The results show that the BP neural network algorithm can be used to predict sports performance, with high prediction accuracy and strong generalization ability.
Artificial Neural Network‐Based Method for Seismic Analysis of Concrete‐Filled Steel Tube Arch Bridges
Authors: Liu Zhen , Zhang Shibo
Published: April 2021

Seismic analysis of concrete‐filled steel tube (CFST) arch bridge based on finite element method is a time‐consuming work. Especially when uncertainty of material and structural parameters are involved, the computational requirements may exceed the computational power of high performance computers. In this paper, a seismic analysis method of CFST arch bridge based on artificial neural network is presented. The ANN is trained by these seismic damage and corresponding sample parameters based on finite element analysis. In order to obtain more efficient training samples, a uniform design method is used to select sample parameters. By comparing the damage probabilities under different seismic intensities, it is found that the damage probabilities of the neural network method and the finite element method are basically the same. The method based on ANN can save a lot of computing time.
Image Denoising of Adaptive Fractional Operator Based on Atangana–Baleanu Derivatives
Authors: Lin Xiaoran , Wang Yachao , Wu Guohao , Hao Jing
Published: April 2021

A fractional integral operator can preserve an image edge and texture details as a denoising filter. Recently, a newly defined fractional-order integral, Atangana–Baleanu derivatives (ABC), has been used successfully in image denoising. However, determining the appropriate order requires numerous experiments, and different image regions using the same order may cause too much smoothing or insufficient denoising. Thus, we propose an adaptive fractional integral operator based on the Atangana–Baleanu derivatives. Edge intensity, global entropy, local entropy, and local variance weights are used to construct an adaptive order function that can adapt to changes in different regions of an image. Then, we use the adaptive order function to improve the masks based on the Grumwald–Letnikov scheme (GL_ABC) and Toufik–Atangana scheme (TA_ABC), namely, Ada_GL_ABC and Ada_TA_ABC, respectively. Finally, multiple evaluation indicators are used to assess the proposed masks. The experimental results demonstrate that the proposed adaptive operator can better preserve texture details when denoising than other similar operators. Furthermore, the image processed by the Ada_TA_ABC operator has less noise and more detail, which means the proposed adaptive function has universality.
Survey Data Analysis on Intention to Use Shared Mobility Services
Authors: Ko Eunjeong , Kim Hyungjoo , Lee Jinwoo
Published: April 2021

Shared mobility is a service that allows users to share various transportation modes and use them with reservations when necessary. It started with private automotive car-sharing and ride-sharing services. Currently, it operates on a wider range, including personal mobility devices such as electric bicycles and scooters. The purpose of this study is to derive a direction for providing future shared mobility services through analysis of factors affecting the usage intention of both current and prospective users. The survey targets 753 citizens living in Gyeonggi Province, Korea. The survey period is from February 12, 2020, to February 26, 2020. In this study, a logistic regression analysis is conducted to investigate the factors affecting the use intention of shared mobility. The analysis results show that gender, car ownership, and education, among variables reflecting socio-demographic characteristics, have significant effects on intention to use shared mobility. Moreover, we find that experience factors, including mainly used transportation modes, ownership of shared mobility device, past experience in similar services, satisfaction of existing shared mobility services, and distance from the home to the nearest bus stop, are also statistically influential. The analysis results are expected to lay the foundation for the introduction of shared mobility services and can be used as data for planning smart mobility services in the future.
Modal and Natural Frequency Sensitivity Analysis of Electrohydraulic Stewart Platform
Authors: Zhang Lijie , Zong Xuemei , Tang Yue , Chen Xinchun , Feng Junxue , Yuan Xiaoming
Published: April 2021

Electrohydraulic Stewart platform is a multi‐input and multi‐output mechanical‐hydraulic coupling system, which has the advantages of large power‐to‐weight ratio and high accuracy. It has been widely used in construction machinery, aerospace, and other fields. In the actual working process, especially in the high‐speed motion, the Stewart platform movement process will produce a large impact and vibration and then affect the stability, accuracy, and service life of the platform. When the frequency of the external excitation coincides with the natural frequency of the electrohydraulic Stewart platform, it may cause the failure of the platform. Therefore, based on the relationship between the volumetric elastic modulus of the gas‐bearing oil and the hydraulic stiffness of the leg, a mechanical‐hydraulic coupling dynamic model of the electrohydraulic Stewart platform was established, and the natural frequencies and modal shapes of the platform were analyzed under typical conditions. The sensitivity calculation formula of the natural frequency of the system on the upper platform mass and the hydraulic stiffness of the outer leg is given by an analytical method, and the influence law of the upper platform mass and the outer leg stiffness on the natural frequency and the sensitivity of the electrohydraulic Stewart platform under typical conditions is discussed. This study can provide theoretical support for dynamic optimization of the electrohydraulic Stewart platform.
Inflammatory Arthritis following Hepatitis B Vaccination in an Infant
Authors: Rahimi Sana S. , Ostrov Barbara E. , Lopez-Pena Maricarmen
Published: April 2021

Inflammatory arthritis in children may be idiopathic in nature or may be due to or follow infections. Rare reports identify inflammatory arthritis temporally related to vaccination in children. Herein, we describe the first reported case of an infant who developed inflammatory arthritis following hepatitis B vaccination. A 10-day-old female presented for evaluation of decreased movement of the right lower extremity and right knee swelling. Of note, the patient received a hepatitis B vaccine in her right thigh at birth. A workup found the patient to have a negative ANA but the presence of HLA B27. Findings resolved using ibuprofen. A literature review identified reports of what has been termed “reactive arthritis” in adult patients following the hepatitis B vaccine, frequently in association with HLA B27. No prior pediatric cases have been published. Healthcare providers must be aware of the rare development of postvaccination inflammatory arthritis.
Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China
Authors: Zhou Jingmiao , Zhao Yuzhe , Niu Xingwen
Published: April 2021

From the perspective of supply-side reform in China, it is hard for COSCO Shipping, a merged company with a strong shipping capacity, to abandon the container shipping market. Meanwhile, the new company could cooperate with new strategic ports along the Maritime Silk Road in liner service. Against this backdrop, this paper aims to optimize the liner shipping network (LSN) from strategic, tactical, and operational levels and help the merged shipping company adjust its operational measures according to market changes. The optimization towards different levels of decision-making process is a new research of highly practical values. Specifically, this paper created two-phase optimization models for LSN based on the selection of hub ports. In Network Assessment (NA) phase, the LSNs of two types of hub ports selected are designed and assessed on strategic and tactical levels, and the primary and secondary routes are identified; in Network Operation (NO) phase, the “path-based flow” formulations are proposed from the operational level, considering operational measures including demand rejection and flow integration. The models in both phases are mixed-integer linear programming (MILP), but are solved by different tools: CPLEX for the NA phase models and the Genetic Algorithm (GA) for the NO phase models due to the computational complexity of the latter problem. Then, a computational experiment is performed on the LSN of COSCO Shipping on the Persian Gulf trade lane. The results have proved the effectiveness of the methodology and inspired important countermeasures for the merged shipping company.
Development of Capacitive Rain Gauge for Marine Environment
Authors: Chai Hui , Liu Shixuan , Yang Xianglong , Wan Xiaozheng , Chen Shizhe , Zhang Jiming , Wu Yushang , Zheng Liang , Zhao Qiang
Published: April 2021

At present, the methods and instruments for measuring the precipitation on land may not effectively work in the offshore corrosion environment which is characterized by salt and humid. The research look at investigating the reliable and precision approach of measuring rainfall and a capacitive rain gauge for the marine environment is developed. Firstly, according to the working principle and performance requirements of the capacitive rain gauge, the modular mechanical structure and capacitance voltage conversion circuit of the rain gauge are designed, and the calibration and stability experiments of the prototype are tested to evaluate the measurement error and exam the accuracy of the rain gauge measurement results changing over time. Then, environmental adaptability experiment is carried out on the capacitive rain gauge to explore its performance in the environment of temperature and humidity changes as well as salt spray. Finally, the feasibility of the rain gauge used in the marine environment is verified by the sea test of the prototype. The measurement error of the developed capacitive rain gauge is less than 1 mm, which provides a realization method for the measurement of precipitation in the marine environment.
Effect of Reflecting Material on CPC to Improve the Performance of Hybrid Groundwater Solar Desalination System
Authors: Kedar S. A. , Bewoor A. K. , Murali G. , Kumar Ravinder , Sadeghzadeh Milad , Issakhov Alibek
Published: April 2021

Water-energy nexus is a crucial and challenging concern that addressing it is noteworthy for the future of human beings. In addition, freshwater production is a highly energy-intensive procedure. Therefore, developing a suitable solution for this problem is of importance. In the present scenario, solar energy is one of the suitable options for desalination because solar energy is available at a low cost, is clean for the environment, and is widely available. Generally, solar collectors such as flat plate collectors (FPC) and evacuated tube collectors were experimented for desalination applications. This work presents an experimental investigation of a single-stage hybrid (ETC-CPC) groundwater solar desalination system. A compound parabolic concentrator (CPC) is placed below the evacuated tube collector (ETC) for collecting solar radiations to transfer heat to evacuated tubes which improves performance in the case of different weather conditions of Pune city in India. Experimental results show that the hybrid solar groundwater desalination system, by maintaining the optimum distance of 20 mm between ETC and CPC with Mylar as the reflecting material, could offer a drinking water production rate of up to 3.4 l/(m2h)/day. However, the proposed single-stage hybrid (ETC+CPC) groundwater solar desalination system with aluminum foil as a reflecting material could generate 1.9 liters of soft water per day. Further, the use of Mylar as a reflecting material could generate 3.5 liters of soft water per day.
Meta‐Analysis of Correlations between Altmetric Attention Score and Citations in Health Sciences
Authors: Kolahi Jafar , Khazaei Saber , Iranmanesh Pedram , Kim Jeehyoung , Bang Heejung , Khademi Abbasali
Published: April 2021

Introduction. In recent years, several controversial reports of the correlation between altmetric score and citations have been published (range: ‐0.2 to 0.8). We conducted a meta‐analysis to provide an in‐depth statistical analysis of the correlation between altmetric score and number of citations in the field of health sciences. Methods. Three online databases (Web of Science, Scopus, and PubMed) were systematically searched, without language restrictions, from the earliest publication date available through February 29, 2020, using the keywords “altmetric,” “citation,” and “correlation.” Grey literature was also searched via WorldCat, Open Grey, and Google Scholar (first 100 hits only). All studies in the field of health sciences that reported on this correlation were included. Effect sizes were calculated using Fisher’s z transformation of correlations. Subgroup analyses based on citation source and sampling methods were performed. Results. From 27 included articles, 8 articles comprise several independent studies. The total sample size was 9,943 articles comprised of 35 studies. The overall pooled effect size was 0.19 (95% confidence interval 0.13 to 0.26). Bivariate partial prediction of interaction between effect size, citation source, and sampling method showed a greater effect size with Web of Science compared with Scopus and Dimensions. Egger’s regression showed a marginally nonsignificant publication bias (p = 0.055), and trim‐and‐fill analysis estimated one missing study in this meta‐analysis. Conclusion. In health sciences, currently altmetric score has a positive but weak correlation with number of citations (pooled correlation = 0.19, 95% C.I 0.12 to 0.25). We emphasize on future examinations to assess changes of correlation pattern between altmetric score and citations over time.
An Analysis Method for Time‐, Frequency‐, and Energy‐Domain Characteristics of Downhole Microseismic Signals and Its Application
Authors: Gao Xiao-xu , Pan Xiang-xu , Zhu Guang-an
Published: April 2021

Based on SOS microseismic (MS) monitoring system of a certain mine, time‐, frequency‐, and energy‐domain characteristics of MS signals are analyzed by comprehensively applying one‐dimensional discrete Fourier transform (DFT) and one‐dimensional discrete wavelet transform (DWT). The technology is employed to explore MS signals from incident and transmitted waves on the fault plane. The research results show that, within the time domain, the transmitted waves are found to have the rapidly reducing velocity and a few wave crests; within the frequency domain, the fault plane presents a low‐pass filtering effect on incident waves; within the energy domain, the fault generally shows the vibration‐attenuating effect on MS signals. The analysis method is used for the No. 3307 working face of a certain mine to realize the prediction on a buried fault in the middle part of the working face, and it is validated to have a favorable effect.
Blockade of Erythropoietin-Producing Human Hepatocellular Carcinoma Receptor B1 in Spinal Dorsal Horn Alleviates Visceral Pain in Rats
Authors: Sun Chen-Li , Li Cheng-Wen , He Nong , Tang Yuan-Zhang , Li Xiu-Liang , Xue Fu-Shan , Ni Jia-Xiang
Published: April 2021

Objective. This experiment was designed to determine whether erythropoietin-producing human hepatocellular carcinoma (Eph) receptors were involved in the development of visceral pain. Methods. Adult male Sprague-Dawley rats were randomly divided into three groups receiving different treatments (n = 16 per group): intracolonic vehicle (control group), intracolonic 2, 4, 6-trinitrobenzene sulfonic acid (TNBS) (TNBS group), and intracolonic TNBS and intrathecal EphB1 receptor blocking reagent (TNBS + EphB2-Fc group). Visceral hyperalgesia was evaluated with quantification of visceral pain threshold induced by colorectal distention. The spinal expressions of EphB1 and ephrinB2 and levels of their phosphorylated forms (p-EphB1 and p-ephrinB2) were assessed by Western blotting and immunohistochemistry. Results. The TNBS-treated rats developed significant visceral hyperalgesia. The spinal expressions of EphB1, p-EphB1, ephrinB2, and p-ephrinB2 were significantly increased in the TNBS group compared with the control group, but visceral hyperalgesia and elevation of spinal EphB1 and p-EphB1 expressions were evidently alleviated by intrathecal administration of EphB2-Fc in the TNBS + EphB2-Fc group. The number of EphB1- and p-EphB1-immunopositive cells, the average optical (AO) value of EphB1, and its phosphorylated form in the spinal dorsal horn were significantly increased in the TNBS group than in the control group, but they were obviously reduced by intrathecal administration of EphB2-Fc. There were no significant differences in the number of ephrinB2- and p-ephrinB2-immunopositive cells and the AO value of ephrinB2 and its phosphorylated form between the TNBS and TNBS + EphB2-Fc groups. Conclusion. EphB1 receptors in the spinal dorsal horn play a pivotal role in the development of visceral pain and may be considered as a potential target for the treatment of visceral pain.
An Approach of Interval-Valued Picture Fuzzy Uncertain Linguistic Aggregation Operator and Their Application on Supplier Selection Decision-Making in Logistics Service Value Concretion
Authors: Naeem Muhammad , Qiyas Muhammad , Abdullah Saleem
Published: April 2021

With respect to multiple criteria group decision-making (MCGDM) problems in which both the criteria weights and the expert weights take the form of crisp numbers and attribute values take the form of interval-valued picture fuzzy uncertain linguistic numbers, some new group decision-making analysis methods are developed. Firstly, some operational laws, expected value, and accuracy function of interval-valued picture fuzzy uncertain linguistic numbers are introduced. Then, an interval-valued picture fuzzy uncertain linguistic averaging and geometric aggregation operators are developed. Furthermore, some desirable properties of the developed operators, such as commutativity, idempotency, and monotonicity, have been studied. Based on these operators, an approach to multiple criteria group decision-making with interval-valued picture fuzzy uncertain linguistic information has been proposed. Finally, a practical example of 3PL supplier selection in logistics service value concretion is taken to test the defined method and to expose the effectiveness of the defined model.
Well Control Optimization of Waterflooding Oilfield Based on Deep Neural Network
Authors: Tang Lihui , Li Junjian , Lu Wenming , Lian Peiqing , Wang Hao , Jiang Hanqiao , Wang Fulong , Jia Hongge
Published: April 2021

A well control optimization method is a key technology to adjust the flow direction of waterflooding and improve the effect of oilfield development. The existing well control optimization method is mainly based on optimization algorithms and numerical simulators. In the face of larger models, longer optimization periods, or reservoir models with a large number of optimized wells, there are many optimization variables, which will cause algorithm convergence difficulties and optimization costs. The application effect is not good because of the problems of time length, few comparison schemes, and only fixed control frequency. This paper proposes a new method of a well control optimization method based on a multi-input deep neural network. This method takes the production history data of the reservoir as the main input and the saturation field as the auxiliary input and establishes a multi-input deep neural network for learning, forming a production dynamic prediction model instead of conventional numerical simulators. Based on the production dynamic prediction model, a series of model generation, production prediction, comparison, and optimization are carried out to find the best production plan of the reservoir. The calculation results of the examples show that (1) compared with the single-input production dynamic prediction model, the production dynamic prediction model based on multiple inputs has better prediction accuracy, and the results are close to the calculation results of the conventional numerical simulator; (2) the well control optimization method based on the multiple-input deep neural network has a fast optimization speed, with many comparison schemes and good optimization effect.
An Intratumoral Aneurysm and an Extrarenal Synchronous Cystic Tumour in a Case of a Renal Cell Carcinoma
Authors: De Silva Supun , De Silva Lalani , De Silva Susantha , Amarathunga Priyani
Published: April 2021

Background. Renal cell carcinoma is a heterogeneous group of malignant tumors originating from the kidney. We report a case of a renal cell carcinoma with two very rare associates, i.e., a large intratumoral aneurysm and a synchronous extrarenal cystic tumor outside the main tumor. Case Presentation. A 31-year-old woman, who presented with painless hematuria and loin pain, was diagnosed to have a large renal mass measuring

15
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9
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8.5

 cm with an intralesional arterial aneurysm measuring

4.5
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3.5

 cm on radiological examination. During surgery, a separate cystic tumor measuring

5
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4.5
×
4

 cm with distinct vascular supply was noted anteromedial to the kidney, in addition to the renal mass. The histology of the main tumor was compatible with t(6:11) type microphthalmia-associated transcription factor (MiT) family translocation RCC. The aneurysm was of venous origin histologically, and a radiologically demonstrable arteriovenous fistula was recognized retrospectively. The extrarenal cyst has also showed similar histology to that of main tumor and had no evidence of a degenerated lymph node. Discussion. Although few cases were reported with various vascular anomalies associated with a renal tumor, this is the first ever case to find an arteriovenous fistula with a secondary venous aneurysm located inside a malignant renal mass. Similarly, no solid RCC is reported to present with an extrarenal malignant cystic nodule. The prognostic and oncological significance of the extrarenal malignant cyst is unclear. Both of these extraordinary features of this case were not properly identified on preoperative imaging. Reviewing the preoperative imaging when pathology reports are available helps to overcome difficulties in making the final diagnosis of complex cases. Conclusion. RCCs can house vascular anomalies like arteriovenous fistula and venous aneurysms and can exist with concomitant extrarenal malignant cystic nodules.