bluuebunny/crossref_metadata_2025 huggingface dataset:
Risk Prediction Algorithm of Green Agriculture Industry Direct Marketing Based on Improved Membership Function
Authors: Chen Roulin , Cao Ling
Published: May 2022

Live broadcast marketing refers to an online marketing mode that takes live broadcast platform as the carrier and synchronously produces and broadcasts programs at the scene of events through the technical means of live video in order to achieve brand promotion and sales increase in the Internet era. The year 2016 is known as the first year of live streaming in China. Since 2016, live streaming platforms have been constantly emerging. Major e-commerce (EC) platforms such as Taobao, Suning, and JINGdong have introduced live streaming functions, and the scale of live streaming users is also on the grow. The number of users is expected to reach 452 million in 2018, up to 15.3% year on year. It is a common problem in the production and operation of agricultural products that the production and operation of agricultural products are scattered and not widely sold. In the Internet era, the promotion of agricultural products sales by EC is more and more respected, while the emergence of direct broadcasting brings new development opportunities for agricultural products marketing. For the reasonable evaluation of green construction activities: firstly, the two-level evaluation index system of green construction is established. Secondly, the fuzzy comprehensive evaluation model of green construction is established using AHP to calculate the importance weight of each index. According to the structural characteristics of the index system, the improved membership degree (MD) conversion algorithm is used to identify the membership degree of the redundant index that has no effect on the target classification and the redundancy value in the membership degree of the target. The “effective value” that plays a role in the green construction classification is selected to participate in the calculation of the target MD, and the practical evaluation results are obtained. Finally, the feasibility of the method is verified by an engineering example.
College English Teaching Evaluation Model Using Natural Language Processing Technology and Neural Networks
Authors: Zuo Fang , Zhang Hui
Published: May 2022

College English is one of the most important basic courses in college education, and classroom evaluation is one of the effective means to improve teaching efficiency. Multidimensional classroom evaluation system, which reflects the characteristics of college English courses, is the premise to standardize the evaluation process and ensure the fair and reasonable evaluation results. Based on NLP (natural language processing) technology and neural network, we use NLP to optimize BPNN (BP neural network) method to construct CETE (college English teaching evaluation) system model, which quantifies the concept of teacher evaluation index as input, makes the data clear, and takes the teaching effect as output. The training results show that the network can fit the training data well, and the prediction effect is remarkable, which indicates that the CETE model based on the BPNN method optimized by NLP is reasonable and feasible.
How Food Shape Influences Calorie Content Estimation: The Biasing Estimation of Calories
Authors: Li Shan , Zhao Yichen , Liu Siyue
Published: May 2022

Whether for improving health or keeping in shape, consumers are beginning to pay attention to calorie intake. However, although a growing number of studies have focused on the impact of food attributes on consumers, the sensory correspondence between food shape and calorie estimation is an underresearched topic. This review, therefore, reports on three studies investigating the effect of food shape on calorie content estimation, whereby participants perceived food in a square shape to have a higher calorie content than food in a circular shape. Perceived food weight plays a mediating role in the relationship between food shape and calorie estimation. Moreover, the more mindful participants were about calorie intake, the weaker the mediation effect of perceived weight. Conversely, the mediation effect of perceived weight was stronger for people who did not care about their calorie intake. These findings break novel ground by presenting food shape as a relevant factor for calorie content estimation. It not only pays attention to the information brought by the visual sense of food, but also complements the relevant literature in the field of food marketing, and has implications for marketing management.
Wear Behavioral Study of Hexagonal Boron Nitride and Cubic Boron Nitride‐Reinforced Aluminum MMC with Sample Analysis
Authors: Rao Vasudeva , Periyaswamy P. , Bejaxhin A. Bovas Herbert , Naveen E. , Ramanan N. , Teklemariam Aklilu
Published: May 2022

During the stir casting process, different percent weights of hexagonal boron nitride (HBN) and cubic boron nitride (CBN) were mixed with aluminum alloy 6061. The test specimens are then machined from the cast aluminum metal matrix composites. The tests are carried out utilizing an ASTM G99‐compliant pin‐on‐plate tribometer on a pivoting EN32 circle. Minitab 16 is used to plan the dry sliding wear trials, which are set up in an orthogonal array. The input parameters are percent HBN addition and CBN addition, sliding speed, and load, and the wear rate was considered to be the output parameter. The actual density of the cast specimens was found to be greater than 90% of their theoretical density. The accumulation of HBN and CBN greatly enhances the wear resistance of aluminum metal matrix composites, according to research. The technique of regression analysis is utilized to establish genuine links between the wear rate and input parameters. The morphology of the worn out surfaces was examined using a scanning electron microscope (SEM). After numerous iterations, the simulation source of DEFORM 3D forecasts the stress and velocity component of the frictional surface contact area.
Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
Authors: You Yucong
Published: May 2022

The agricultural economy covers a wide range and has many influencing factors. There are often serious problems of complexity and diversity. The traditional agricultural economic forecasting methods often ignore the complexity and diversity, and it is difficult to accurately describe the development law of the agricultural economy. To improve the accuracy of agricultural economic time series forecasting under the condition of complexity and diversity, this paper proposes an agricultural economic forecasting method based on Elman neural network structure. Firstly, the data are screened and processed according to the time series of agricultural economic changes, and those factors that are more important to the agricultural economy are screened out from the collected public data. Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. Finally, a large number of experimental results show that the method based on the Elman neural network structure can overcome the shortcomings of traditional methods. It can avoid the interference of human subjective will, realize the comprehensive and accurate description of the changing laws of the agricultural economy with time, and promote the development of the agricultural economy.
Multimedia Real-Time Transmission Protocol and Its Application in Video Transmission System
Authors: Zhang Xinkan , Chu Fufeng
Published: May 2022

The aim is to provide corresponding quality of service (QoS) guarantee for real-time video data transmission. To ensure the high quality and smooth playback of video sequence at the receiving end, the design of multimedia transmission is made. In view of the shortcomings of selective frame loss, this paper adopts the active frame loss algorithm, which discards the nonkey frames according to the probability. With the increase of the frame loss rate at the transmitter, the proportion of decoded frames increases rapidly and reaches the maximum when the frame loss rate is 0.1. It is proved that active frame loss can control the bit rate more accurately to make full use of bandwidth resources and avoid the waste of bandwidth resources.
Energy-Efficient Data Transmission in Mobility-Aware Wireless Networks
Authors: Xu Mengmeng , Zhang Guixiang , Liang Xinpei , Zhu Hai , Wang Juanjuan
Published: May 2022

Data transmission scheme is an effective mode to improve the energy-efficiency in packet delivery. In this paper, we investigate the energy-efficient data transmission over reliable links and unreliable links in mobility-aware wireless networks. The network topologies in mobility-aware wireless networks are changed from one time slot to another, and they could be described by a sequence of static graphs. We first model these network topologies in a time period as a virtual space-time graph. On the virtual space-time graph, energy-efficient data transmission problems over reliable links and unreliable links are defined. The aim of the two data transmission problems is to find a spatial-temporal path with the minimum energy cost. Next, we propose an Energy-Efficient Data Transmission algorithm over Reliable Links (EEDT-RL) to find the optimal space-time path. Based on EEDT-RL, we also develop a heuristic data transmission protocol over unreliable links (named EEDT-UL), in which the path reliability is taken into consideration. Simulation results show that our proposed algorithms perform well in terms of energy cost and transmission count compared with some existing algorithms.
Proactive Network Fault Management for Reliable Subscribed Network Slicing in Software-Defined Mobile Data IoT Services
Authors: Math Sa , Tam Prohim , Kim Seokhoon
Published: May 2022

Proactive network solutions (PNS) become the precise management and orchestration (MANO) in the applied artificial intelligence (AI) era. The PNS proposed to invent future mobile edge communications by predicting the fault networks for reliable slicing configurations. Furthermore, federated learning (FL) systems have been appealed to apply for critical mobile data privacy of the Internet of Things (IoT) services. Therefore, FL-based IoT communications need a precise PNS to pretend the network failures to maximize the model inference and improve end-to-end (E2E) quality of services (QoS). This paper proposed an adopted software-defined network slicing (NS) for IoT communications based on network failure prediction and resource allocations by utilizing a deep-Q-network approach (DQN). The proposed proactive reliable subscribed network slicing was based on software-defined DQN-based proactive dynamic resource allocations (SDQN-PDRA) for adaptive communication configurations. The experiment showed that the proposed approach enhanced the significant outcomes of stability, reliability, convergence time, and other communication QoS.
[Retracted] Acetochlor Affects Bighead Carp (Aristichthys Nobilis) by Producing Oxidative Stress, Lowering Tissue Proteins, and Inducing Genotoxicity
Authors: Mahmood Yasir , Hussain Riaz , Ghaffar Abdul , Ali Farah , Nawaz Sadia , Mehmood Khalid , Khan Ahrar
Published: May 2022

Acetochlor is persistently used in the agroproduction sector to control broadleaf weeds. Due to frequent and continuous applications, this herbicide can reach nearby water bodies and may induce deleterious changes in aquatic life. Therefore, investigation of harmful impacts of different environmental pollutants, including herbicides, is vital to knowing the mechanisms of toxicity and devising control strategies. The current experiment included bighead carp (n = 80) to estimate adverse impacts. Fish were randomly placed in 4 different experimental groups (T0‐T3) and were treated for 36 days with acetochlor at 0, 300, 400, and 500 μg/L. Fresh blood without any anticoagulant was obtained and processed for nuclear and morphological changes in erythrocytes. At the same time, various visceral organs, including the gills, liver, brain, and kidneys, were removed and processed on days 12, 24, and 36 to determine oxidative stress and various antioxidant biomarkers. Comet assays revealed significantly increased DNA damage in isolated cells of the liver, kidneys, brain, and gills of treated fish. We recorded increased morphological and nuclear changes (P ≤ 0.05) in the erythrocyte of treated fish. The results on oxidative stress showed a higher quantity of oxidative biomarkers and a significantly (P ≤ 0.05) low concentration of cellular proteins in the gills, liver, brain, and kidneys of treated fish compared to unexposed fish. Our research findings concluded that acetochlor renders oxidative stress in bighead carp.
Pharmacological Mechanism of Shen Huang Chong Ji for Treating Alzheimer’s Disease Based on Network Pharmacology and Experimental Validation
Authors: Tang Lei , Liu Jing , Xu Xiaozhuo , Zhao Juan , Han Xu
Published: May 2022

The traditional Chinese medicine (TCM) formula, Sheng Huang Chong Ji (SHCJ) is largely applied for treating Alzheimer’s disease (AD), but not much is known regarding its active compounds, molecular targets, and mechanism of action. The current study aimed to predict the potential molecular mechanism of SHCJ against AD based on network pharmacology combined with in vitro validation. Using public databases, SHCJ’s active compounds, their potential targets, and AD-related genes were screened, while Cytoscape Version 3.7.2 was used to build protein–protein interaction (PPI) and compound-disease-target (C-D-T) networks. Analysis of enriched Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and Gene Ontology (GO) terms was then carried out in R 4.0.2, including associated packages. Subsequently, molecular docking analysis was performed with AutoDock Vina 1.1.2, with intro experiments involving SH-SY5Y cells used to further investigate the mechanism of SHCJ against AD. Finally, a total of 56 active compounds of SHCJ and 192 SHCJ-AD-related targets were identified. Quercetin was identified as the top potential candidate agent. HSP90AA1, AKT1, and MAPK1 represent potential therapeutic targets. The PI3K-Akt signaling pathway potentially represents a core one mediating the effects of SHCJ against AD. Additionally, molecular docking analysis indicated that quercetin could combine well with AKT1 and multiple apoptosis-related target genes. During cell experiments, a significant increase in cell viability along with a decrease in Aβ25-35-induced apoptosis was observed after treatment with SHCJ. Furthermore, SHCJ significantly increased the phosphorylation of PI3K and Akt while reversing Aβ25-35-induced apoptosis-related protein expression downregulation.
Research on the Changing Law of Tunnel Temperature Field and the Application of Air Curtain System in Cold Regions
Authors: Wang Renyuan , Zhu Yongquan , Gao Yan , Fang Zhichun , Ma Chaoyi
Published: May 2022

In this study, a tunnel temperature field model test bed is built according to the similarity principle to study the variation law of temperature in the tunnel in the cold season. According to the variation law of temperature in the tunnel, a new active thermal insulation measure, namely, an air curtain system, is developed. According to the principle of flow function superposition and heat balance, the governing equation of air curtain system is obtained. Taking the Zhengpantai tunnel as an example, the feasibility of the air curtain system is verified, and the jet angle of air curtain is optimized. The research results show that outside temperature and surrounding rock temperature are the main factors affecting the temperature field of tunnels in cold regions. The calculation results show that the air curtain system can effectively prevent tunnel freezing damage. The optimal jet angle of air curtain system should be 30°–40°. When the outside temperature is extremely low, multiple air curtains can be used in series to heat the temperature in the tunnel, and it is recommended that the distance between the two air curtains is not less than 20 m.
Study on Pressure Relief Zone Formed Inside Roadway Rib by Rotary Cutting with Pressurized Water Jet for Preventing Rock Burst
Authors: Yang Zeng-Qiang , Liu Chang , Jin Hui-Wu
Published: May 2022

Based on the engineering geological conditions of mining area 2502 in Yanbei coal mine as a background, the comprehensive index method is used to evaluate the rock burst risk of mining area 2502, and the burst tendency of coal seam 5# under natural and water‐saturated conditions is also tested in laboratory. Then the pressurized water jet technology is proposed as an effective and feasible method to prevent rock burst. By means of theoretical analysis, the coal‐rock mass system has three strain‐stress states under the influence of static load, and it has another strain‐stress state under the influence of static and dynamic combined load; meanwhile, the greater the horizontal tectonic stress caused by fold structure is, the more prone to instability and failure and induce rock burst coal mass composed of countless cell cubes is; when a pressure relief zone is formed inside the roadway rib by using pressurized water jet technology, the initial single peak stress curve will change to a final bimodal stress curve inside the roadway rib. A “strong‐weak‐strong” prevention structure can be formed inside the roadway rib and this prevention structure can well prevent the occurrence of rock burst. By means of numerical simulation analysis, the optimal diameter, length, and interval of rotary cutting sections are identified as 400 mm, 3.0 m, and 15.0 m, respectively. By means of on‐site industrial application analysis, all these monitoring results verify that when the pressurized water jet is used to conduct rotary cutting of roadway rib, a large‐scale pressure relief zone will be formed in the coal mass inside the roadway rib, and it can achieve the purpose of preventing rock burst in the roadway rib. The research results can effectively provide theoretical foundation and a new guidance for preventing rock burst with similar engineering geological conditions.
Multiple Traffic Target Tracking with Spatial-Temporal Affinity Network
Authors: Sun Yamin , Zhao Yue , Wang Sirui
Published: May 2022

Traffic target tracking is a core task in intelligent transportation system because it is useful for scene understanding and vehicle autonomous driving. Most state-of-the-art (SOTA) multiple object tracking (MOT) methods adopt a two-step procedure: object detection followed by data association. The object detection has made great progress with the development of deep learning. However, the data association still heavily depends on hand crafted constraints, such as appearance, shape, and motion, which need to be elaborately trained for a special object. In this study, a spatial-temporal encoder-decoder affinity network is proposed for multiple traffic targets tracking, aiming to utilize the power of deep learning to learn a robust spatial-temporal affinity feature of the detections and tracklets for data association. The proposed spatial-temporal affinity network contains a two-stage transformer encoder module to encode the features of the detections and the tracked targets at the image level and the tracklet level, aiming to capture the spatial correlation and temporal history information. Then, a spatial transformer decoder module is designed to compute the association affinity, where the results from the two-stage transformer encoder module are fed back to fully capture and encode the spatial and temporal information from the detections and the tracklets of the tracked targets. Thus, efficient affinity computation can be applied to perform data association in online tracking. To validate the effectiveness of the proposed method, three popular multiple traffic target tracking datasets, KITTI, UA-DETRAC, and VisDrone, are used for evaluation. On the KITTI dataset, the proposed method is compared with 15 SOTA methods and achieves 86.9% multiple object tracking accuracy (MOTA) and 85.71% multiple object tracking precision (MOTP). On the UA-DETRAC dataset, 12 SOTA methods are used to compare with the proposed method, and the proposed method achieves 20.82% MOTA and 35.65% MOTP, respectively. On the VisDrone dataset, the proposed method is compared with 10 SOTA trackers and achieves 40.5% MOTA and 74.1% MOTP, respectively. All those experimental results show that the proposed method is competitive to the state-of-the-art methods by obtaining superior tracking performance.
A Slack Departure Strategy for Demand Responsive Transit Based on Bounded Rationality
Authors: Wang Hongfei , Guan Hongzhi , Qin Huanmei , Li Wanying , Zhu Junze
Published: May 2022

Demand responsive transit (DRT) is emerging as one of the most potential travel modes to satisfy flexible travel demands. Nevertheless, how to attract more passengers has become a critical problem in the success of DRT projects. It is necessary to take into account the psychological factors impacting passengers’ choices. The study proposes a slack departure strategy considering boundedly rational passengers, which introduces passengers’ decision-making psychology into the optimization process. The strategy can adjust the departure time of passengers to adjacent time windows. The discount-incentive mechanism is presented to attract passengers to accept the changes while maintaining the quality of service. On this basis, the theory of bounded rationality is applied to describe the decision-making process of passengers. We construct a multiobjective programming model to analyze the operator-passenger interactive effect. To address the multiobjective problem, a two-phase heuristic algorithm is established to get the Pareto solution for the model. A numerical experiment is carried out on the Sioux Falls network. The case study of Beijing is discussed to evaluate the effectiveness of the strategy. The results indicate that the slack departure strategy can significantly benefit both the operators and passengers. The operating profit substantially increases by up to 63%. Meanwhile, the passenger’s general travel cost declines by 12%. The optimal discount rate of the incentive mechanism is 20%. Therefore, the study contributes to comprehending the passenger’s decision-making psychology and providing a new optimization strategy for the operator of DRT.
Selinexor Combined with Ibrutinib Demonstrates Tolerability and Safety in Advanced B-Cell Malignancies: A Phase I Study
Authors: Stephens Deborah M. , Huang Ying , Ruppert Amy S. , Walker Janek S. , Canfield Daniel , Cempre Casey B. , Fu Qiang , Baker Sharyn , Hu Boyu , Shah Harsh , Vadeboncoeur Renee , Rogers Kerry A. , Bhat Seema , Jaglowski Samantha M. , Lockman Hank , Lapalombella Rosa , Byrd John C. , Woyach Jennifer A.
Published: May 2022

Purpose:

Dual blockade of Bruton's tyrosine kinase with ibrutinib and selinexor has potential to deepen responses for patients with chronic lymphocytic leukemia (CLL) and non-Hodgkin lymphoma (NHL).

Patients and Methods:

In this phase I study (clinicaltrials.gov: NCT02303392), adult patients with CLL/NHL, relapsed/refractory to ≥1 prior therapy were enrolled. Patients received weekly oral selinexor and daily oral ibrutinib in 28-day cycles until progression or intolerance. Primary objective was to determine MTD.

Results:

Included patients had CLL (n = 16) or NHL (n = 18; 9 Richter transformation, 6 diffuse large B-cell lymphoma, and 3 mantle cell lymphoma). Median prior therapies were 4 (range = 1–14) and 59% previously received ibrutinib. The established MTD was 40 mg of selinexor (days 1, 8, 15) and 420 mg daily ibrutinib. Common nonhematologic adverse events were fatigue (56%), nausea (53%), anorexia (41%), and diarrhea (41%) and were mostly low grade. Overall response rate was 32%. An additional 47% achieved stable disease (SD), some prolonged (up to 36 months). Median progression-free survival for patients with CLL and NHL was 8.9 [95% confidence interval (CI), 3.9–16.1] and 2.7 (95% CI, 0.7–5.4) months, respectively. For patients with CLL who did not receive prior ibrutinib, only 20% (1/5) progressed. Estimated 2-year overall survival was 73.7% (95% CI, 44.1–89.2) and 27.8% (95% CI, 10.1–48.9) for patients with CLL and NHL, respectively.

Conclusions:

The selinexor and ibrutinib combination has demonstrated tolerability in patients with relapsed/refractory CLL/NHL. Responses were durable. Notable responses were seen in patients with CLL with minimal prior therapy. Future study of this combination will focus on efforts to deepen remissions in patients with CLL receiving ibrutinib therapy.
Trials, Tribunals, and Opportunities for Lung Cancer KRASG12C Brain Metastases
Authors: Kommalapati Anuhya , Mansfield Aaron S.
Published: May 2022

The activity of KRAS inhibitors against brain metastases is relatively unexplored. The recent work on preclinical models and preliminary data from the ongoing KRYSTAL-1 phase Ib clinical trial support the potential of adagrasib (MRTX849) to penetrate the central nervous system and provide control of KRASG12C brain metastases.

See related article by Sabari et al., p. 3318
Effect of High-Dose Glucocorticoids on Markers of Inflammation and Bone Metabolism in Patients with Primary Glomerular Disease
Authors: Pęczek Katarzyna , Nowicki Michał
Published: May 2022

Background: Glucocorticoids are one of the most commonly used drugs for treatment of inflammatory and autoimmune diseases. Sirtuin-1 (SIRT-1) belongs to the family of proteins involved in protection against inflammation and oxidative stress. A role of SIRT-1 in regulation of bone metabolism during high-dose steroid therapy is unknown. Objectives: The study assessed influence of high doses of intravenous corticosteroids on plasma inflammation and bone markers in patients with primary glomerular disease. Methods: The study included 40 patients (25 M, 15 F; mean age 53.1 ± 14 years) with chronic kidney disease (mean estimated glomerular filtration rate, 58.9 ± 31.3 mL/min). The main inclusion criterion was clinical and histopathological diagnosis of primary glomerular disease and urine protein excretion >2.0 g/24 h. The patients received intravenous pulses of methylprednisolone 20–30 mg/kg/day for three consecutive days followed by oral prednisone 0.8–1.0 mg/kg/day. The blood was taken before administration of methylprednisolone to assess plasma SIRT-1, sclerostin, calcium, phosphate, and parathormone; and first-morning urine sample was taken for measurement of calcium, phosphate, and albumin to creatinine ratio. The same laboratory tests were repeated after 4, 7, and 30 days during steroid therapy. Results: Plasma SIRT-1 increased significantly during steroid administration. Plasma sclerostin did not change significantly. There was a significant linear negative correlation between changes in SIRT-1 levels and sclerostin throughout the study. In a multiple regression model, changes of plasma sclerostin induced by steroid therapy explained the largest part of variance of respective changes of plasma SIRT-1. Conclusions: Plasma SIRT-1 increase during high-dose corticosteroid therapy is negatively related to the change of plasma sclerostin that may suggest a protective role of SIRT-1 against the negative effects of steroid therapy on bone.
The Changing Landscape of Children’s Diet and Nutrition: New Threats, New Opportunities
Authors: Saavedra José M.
Published: May 2022

Background: Over the last 30–40 years, we have seen an improvement in global child undernutrition, with major reductions in wasting and stunting. Meanwhile, childhood obesity has dramatically increased, initially in high-income populations and subsequently in the more economically vulnerable. These trends are related to significant changes in diet and external factors, including new environmental threats. Summary: Obesity rates first increased in older children, then gradually in infants. And in the next couple of years, there will be more overweight and obese than moderately or severely underweight children in the world. The changes in childhood nutritional landscape are a result of poor diets. Today, almost 50% of the world’s population consumes either too many or too few calories. Dietary disparities between countries result in disparities of under- and overnutrition and impact the global health landscape. Most children with obesity, wasting, and micronutrient deficiencies live in lower income countries and in lower income families within any country. High energy-low nutrient diets are contributing to the increase in non-communicable diseases, which will manifest later in this generation of children. In 1990, child wasting was the #1 leading risk factor for mortality for all ages, and high BMI was #16; today, they are #11 and #5, respectively. COVID-19 and climate change are new major threats to global nutrition. Current and future efforts to improve the state of child nutrition require multisectoral approaches to reprioritize actions which address current trends and emerging threats.
Gestalt Perception and the Experience of the Social Space in Autism: A Case Study
Authors: Bader Oren , Fuchs Thomas
Published: May 2022

Phenomenological approaches suggest that the bodily presence of others has a profound influence on the experience of social spaces. This intimate relationship is particularly evident in mental disorders. Investigations into the nature of intersubjectivity in various pathologies indicate that modifications to the capacity for social perception play a key role in determining the manners in which the social space is experienced and felt. This paper aims to examine the interviewing relation of social perception and the experience of space and its consequences in autism spectrum disorder (ASD). This is done through a phenomenologically informed analysis of the functioning of social perception in ASD. Our account proposes that the atypical socio-perceptual patterns exhibited by people with autism significantly reduce the capacity to grasp the context of the situation, which facilitates and intensifies negative feelings that are intertwined with the experience of social spaces. This novel understanding draws on the idea that ASD involves a fundamental difficulty to establish a gestalt perception of social scenes. The evidence we discuss suggests that this anomaly in the operation of social perception also modulates the experience of the social space. Failing to perceive the wholeness of the situation means that people with autism often experience the social space as unfamiliar, confusing, uncertain, and unsafe, rather than feeling familiar and understood in the embodied presence of others. As a result, autistic subjects may experience difficulty evaluating the outcomes of hazardous circumstances, which poses a risk to their well-being, particularly in borderline situations. This suggestion is elaborated through the tragic occurrences that led to the killing of Eyad al-Hallaq, a 32-year-old Palestinian with autism.
Immunogenicity of COVID-19 Vaccination in Melanoma Patients under Immune Checkpoint Blockade
Authors: Niewolik Jacqueline , Mikuteit Marie , Cossmann Anne , Vahldiek Kai , Gutzmer Ralf , Müller Frank , Schröder Dominik , Heinemann Stephanie , Behrens Georg M.N. , Dopfer-Jablonka Alexandra , Steffens Sandra , Grimmelmann Imke
Published: May 2022

Background: Immunogenicity of SARS-CoV-2 vaccines is modestly impaired in cancer patients due to a generally weakened immune system. Immune checkpoint inhibitors (ICI) are expected to enhance immune response. This has already been described to be the case in influenza vaccines, and first data about COVID-19 vaccines show a trend in this direction. Aim: We aimed to investigate the immune response of patients with melanoma under ICI therapy after COVID-19 vaccination. Patients and Methods: In the Skin Cancer Center Hanover (Germany), we recruited 60 patients with advanced melanoma who either received ICI therapy during or before the vaccination period. Serological blood analysis was performed using quantitative ELISA for Anti-SARS-CoV-2 spike protein 1 IgG antibodies. Results: We did not observe an enhanced humoral immune response in patients under active or past ICI therapy after COVID-19 vaccination. Nevertheless, there is a tendency of higher antibody levels when ICI therapy was received within the last 6 months before vaccination. Subgroup analysis revealed that patients in our study population under ongoing targeted therapy during vaccination period had significantly higher median antibody levels than patients without any active antitumor treatment. Conclusion: Melanoma patients under ICI therapy show comparable antibody response after SARS-CoV-2 vaccination to healthy health care professionals. This finding is independent of the timing of ICI therapy.
Established and Experimental Systemic Treatment Options for Advanced Liposarcoma
Authors: Schöffski Patrick
Published: May 2022

Background: While soft-tissue sarcomas (STSs) are rare tumors, liposarcomas are among the most common type of STS and are divided into four main subtypes: atypical lipomatous tumor/well-differentiated liposarcoma; dedifferentiated liposarcoma; myxoid/round-cell liposarcoma (MLPS); and pleomorphic liposarcoma (PLPS). The four different subtypes of liposarcomas have varying underlying molecular pathology, clinical behavior, and treatment sensitivity. Summary: Surgical resection is the mainstay of treatment for patients with localized liposarcoma. Radiotherapy is often used in conjunction with surgery for improving local control of liposarcoma, with MLPS being the most radiosensitive of the four subtypes. For unresectable, advanced, or metastatic disease, the effectiveness of chemotherapy can vary by subtype, with MLPS and PLPS being considered to be chemo-sensitive; however, median survival is low at around 2 years. Current first-line treatment options for patients with liposarcoma include local treatment with or without doxorubicin, ifosfamide, or a doxorubicin-ifosfamide combination, while second-line (and beyond) treatment options include ifosfamide, gemcitabine-based combinations, trabectedin, eribulin, and possibly pazopanib as established therapies. A number of other experimental treatment options are being evaluated, including mouse double minute 2 homolog antagonists, cyclin-dependent kinase 4/6 inhibitors, immune checkpoint modulators, nuclear export inhibitors, multi-kinase inhibitors, peroxisome proliferator-activated receptor gamma agonists, or various combination regimens. This review discusses established systemic therapies and emerging experimental treatment options for the treatment of patients with liposarcoma. Key Message: New treatments are needed to effectively treat liposarcomas. Results from trials exploring experimental therapeutic options will further define the role that these new treatments will play in the management of the different subtypes of liposarcoma.
Determining the Effect of Reflexology on Nausea, Vomiting and Anxiety in Patients with Breast Cancer Receiving Chemotherapy: A Randomized Controlled Study
Authors: Yükseltürk Şimşek Neriman , Nacir Bariş , Demir Ayten
Published: May 2022

Aim: This study was conducted in a randomized controlled manner to evaluate the effect of reflexology on nausea, vomiting, and anxiety due to taxane group chemotherapeutics in patients with breast cancer. Method: The study was conducted in the Daytime Chemotherapy Unit of Gülhane Training and Research Hospital and Ankara Training and Research Hospital from June 28 to December 20, 2019, with intervention (n = 29) and control (n = 29) groups. Data were collected using the Patient Information Form, the Rhodes Index of Nausea, Vomiting and Retching, and the Spielberger State-Trait Anxiety Inventory. Patients in the intervention group received reflexology for a total of 6 weeks, once a week. The patients in the control group did not receive any treatment other than the routine maintenance of the chemotherapy unit. Result: As a result, it was determined that 40% of all patients were 55 years or older. While nausea was observed in all patients in the intervention and control groups, vomiting was not noted in the vast majority of patients. Regarding the effect of reflexology on nausea and vomiting, although the mean scores of nausea, vomiting and retching experience, occurrence and distress in both groups were lower than the initial measurement, there was no difference between the groups. Based on the research findings, the State and Trait Anxiety mean scores in the intervention group decreased significantly, while they increased in the control group. Conclusion: The research showed that while reflexology did not affect nausea and vomiting in breast cancer patients receiving chemotherapy, it was helpful in reducing anxiety.
Comparative Efficacy and Safety of Tacrolimus, Cyclosporin A, Mycophenolate Mofetil, Cyclophosphamide, and Corticosteroids as Induction Therapy for Membranous Lupus Nephritis: A Network Meta-Analysis
Authors: Lee Young Ho , Song Gwan Gyu
Published: May 2022

Background: There were limited data on randomized controlled trials (RCTs) evaluating the effectiveness and safety of tacrolimus (TAC), cyclosporin A (CSA), mycophenolate mofetil (MMF), cyclophosphamide (CYC), and corticosteroids as induction agents in membranous lupus nephritis, and they were inconclusive. Objectives: This study aimed to assess the relative efficacy and safety TAC, CSA, MMF, CYC, and corticosteroids as induction therapy for membranous lupus nephritis. Method: RCTs examining the efficacy and safety of TAC, CSA, MMF, CYC, and corticosteroids as induction therapy in patients with membranous lupus nephritis were included. We performed a Bayesian random-effects network meta-analysis to combine direct and indirect evidence from the RCTs. Results: Five RCTs comprising 126 patients met the inclusion criteria. TAC and CSA showed a trend toward a higher overall response rate (complete remission plus partial remission) than MMF and CYC. Similarly, MMF and CYC showed a trend toward a higher overall response than corticosteroids. Ranking probability based on the surface under the cumulative ranking curve indicated that TAC had the highest probability of being the best treatment for achieving the overall response, followed by CSA, MMF, CYC, and corticosteroids. In terms of safety, corticosteroids showed the highest probability of decreasing the risk of infections, followed by CSA, CYC, MMF, and TAC. Conclusions: TAC and CSA were the most efficacious induction treatments for patients with membranous lupus nephritis, and corticosteroids had the highest probability of decreasing the risk of infections.
New-Onset Primary Adrenal Insufficiency and Autoimmune Hypothyroidism in a Pediatric Patient Presenting with MIS-C
Authors: Flokas Myrto Eleni , Bustamante Victoria H. , Kanakatti Shankar Roopa
Published: May 2022

Introduction: There is emerging speculation that the inflammatory state associated with SARS-CoV-2 infection may trigger autoimmune conditions, but no causal link is established. There are reports of autoimmune thyroiditis and adrenal insufficiency in adults post-COVID-19. We describe the first pediatric report of adrenal insufficiency and autoimmune hypothyroidism after COVID-19. Case Presentation: A 14-year-old previously healthy girl, with vitiligo, presented in shock following 1 week of fever, lethargy, diarrhea, and vomiting. Three weeks prior, she had congestion and fatigue and known familial exposure for COVID-19. Labs were remarkable for sodium 129 mmol/L, K 4.3 mmol/L, creatinine 2.9 mg/dL, hemoglobin 8.3 g/dL, and positive COVID-19 PCR and SARS-CoV-2 IgG. She was resuscitated with normal saline and required pressor support. EKG showed abnormal repolarization presumed secondary to myocarditis. She met the criteria for multisystem inflammatory syndrome in children (MIS-C), received intravenous immune globulin and IL-1R antagonist and was admitted for intensive care. Persistent hypotension despite improved inflammatory markers and undetectable cortisol led to initiation of hydrocortisone. She was then able to rapidly wean off pressors and hydrocortisone within 48 h. Thereafter, tests undertaken for persistent bradycardia confirmed autoimmune hypothyroidism with TSH 131 μU/mL, free T4 0.85 ng/dL, and positive thyroid autoantibodies. Basal and stimulated cortisol were <1 μg/dL on a standard 250 μg cosyntropin stimulation test, with baseline ACTH >1,250 pg/mL confirming primary adrenal insufficiency. Treatment was initiated with hydrocortisone, levothyroxine, and fludrocortisone. Adrenal sonogram did not reveal any hemorrhage and anti-adrenal antibody titers were positive. The family retrospectively reported oligomenorrhea, increased salt craving in the months prior, and a family history of autoimmune thyroiditis. The cytokine panel was notably different from other cases of MIS-C. Conclusion: This is the first pediatric report, to our knowledge, of primary adrenal insufficiency and hypothyroidism following COVID-19, leading to a unique presentation of autoimmune polyglandular syndrome type 2. The initial presentation was attributed to MIS-C, but the subsequent clinical course suggests the possibility of adrenal crisis. It remains unknown if COVID-19 had a causal relationship in triggering the autoimmune adrenal insufficiency and hypothyroidism.
Agricultural Biographics v. Agricultural Biographistics: Concepts, Resources of Information, and Reflexive Potential
Authors:   National Scientific Agricultural Library of NAAS, Demuz Inna , Borodai Iryna ,   National Scientific Agricultural Library of NAAS
Published: May 2022

The authors of the article explore the concepts ‘agricultural biographics’ and ‘agricultural biographistics’, proposing an interpretation of the terms. ‘Agricultural biographistics’ is defined as a full palette of portraits of agricultural scientists, sectoral bibliographical and biobibliographical reference publications, and the creation of electronic resources of biographical information about eminent figures in the field of agriculture. ‘Agricultural biographics’ is a distinct branch of historiography focusing on biographical research about agricultural scientists, and the theoretical and methodological foundations of biographical research of agricultural scientists. The article analyses the achievements in scientific bibliographical research of the Department of Biographistics at the Institute of History of Agrarian Science, Education and Technology of the National Scientific Agricultural Library of the National Academy of Agrarian Sciences of Ukraine (NSAL NAAS). The authors argue that much of specifically historical research exists alongside inadequate theoretical studies on its foundations, which, accordingly, calls for the development of some aspects of agricultural biographistics. The article also outlines the theoretical and methodological visions in the biographies of agricultural scholars, considering also the architectonics of the publications, the types/models of biographies, and methodological approaches.
On Stages of Cognition
Authors:   University of Tartu, Vihalemm Rein
Published: May 2022

In all epistemological studies one has to employ, in one way or another, the concepts of “sensuous and rational knowledge,” “empirical and theoretical knowledge,” “essence and phenomenon.” But, unfortunately, the logical relationships of these concepts are not understood unambiguously, which prevents many epistemological issues from being examined with sufficient theoretical clarity. '
Energy management system for distribution networks integrating photovoltaic and storage units
Authors: Zedak Chaimae , Belfqih Abdelaziz , Boukherouaa Jamal , Lekbich Anass , Elmariami Faissal
Published: May 2022

The concept of the optimization energy management system, developed in this work, is to determine the optimal combination of energy from several generation sources and to schedule their commitment, while optimizing the cost of energy, power losses and voltage drops. In order to achieve these objectives, the non-dominated sorting genetic Algorithm II (NSGA-II) was modified and applied to an IEEE 33-bus test network containing 10 photovoltaic power plants and 4 battery energy storage systems placed at optimal points in the network. To evaluate the system performance, the resolution was performed under several test conditions. Optimal Pareto solutions were classified using three decision-making methods, namely analytic hierarchy process (AHP), TOPSIS and entropy-TOPSIS, compared to each other for more accurate results. The simulation results obtained by NSGA-II and classified using entropy-TOPSIS showed a significant and considerable reduction in terms of energy cost, power losses and voltage drops while successfully meeting all constraints. In addition, the diversity of the results proved once again the robustness and effectiveness of the algorithm. A graphical interface was also developed to display all the decisions made by the algorithm, and all other information such as the states of power systems, voltage profiles, alarms, and history.
A comprehensive fuzzy-based scheme for online detection of operational and topological changes
Authors: Damanjani Amin , Hosseini Abardeh Mohamad , Azarfar Azita , Hojjat Mehrdad
Published: May 2022

Operational modes and topological changes affect power flow in the power systems. As a result, a broad spectrum of protection issues may happen in the power system. So, both the operational and topological changes should be detected fast to prevent blackouts. On the other hand, the existing detection schemes are complex in analyzing and implementation. Therefore, there is a need for an online scheme to identify the network's topology and operation mode simultaneously without complex computations and additional communication infrastructures. To this end, a comprehensive scheme is proposed in which the changes are detected by analyzing the power flow obtained from the network. For this purpose, line outage contingencies and operation modes are defined in rules to be used in a fuzzy inference system (FIS) as a decision-making tool. The proposed scheme can be implemented on existing lines as a communication infrastructure and determines the network’s status in an online manner. Also, in comparison to the existing schemes, the proposed scheme reduces the complexity and the computational burden. The proposed scheme is implemented on IEEE 8-bus system and the results proved its efficiency.
Load forecasting with support vector regression: influence of data normalization on grid search algorithm
Authors: Tran Thanh Ngoc , Lam Binh Minh , Nguyen Anh Tuan , Le Quang Binh
Published: May 2022

In recent years, support vector regression (SVR) models have been widely applied in short-term electricity load forecasting. A critical challenge when applying the SVR model is to determine the model for optimal hyperparameters, which can be solved using several optimization methods as the grid search algorithm. Another challenge that affects the response time and the precision of the SVR model is the normalization process of input data. In this paper, the grid search algorithm will be suggested based on data normalization methods including Z-score, min-max, max, decimal, sigmoidal, softmax; and then utilized to evaluate both the response time and precision. To verify the proposed methods, the actual electricity load demand data of two cities, including Queensland of Australia and Ho Chi Minh City of Vietnam, were utilized in this study.