bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship of Microbiota with Stem Cell and Bone
Authors: KARAKAYALI Emine Müge , TUĞLU Mehmet
Published: June 2020

The microbiota is a potential product which experimental data and clinical applications have increased recently. The microbiota shows its effects by changing cell behaviors, particularly those of the stem cells. Understanding of these changes in pathology opens the way for their use in treatment. Changes in intestinal microbiota related to bone diseases which also have a negative impact on patient life quality. In this review, the relationship of microbiota with stem cell and bone was explained based on the literature. Microbiota and bone-related articles of the recent years were reviewed, and the information considered important was collected. When the intestinal microbiota is exposed to various factors, stem cells themselves and the factors they secrete change, which causes hemostasis to deteriorate. The combination of experimental and bioinformatics data shows the possible use of microbiota for the treatment of bone pathologies. Developing technology will make it possible to produce products with significant efficiency and low costs in clinical applications. Using three-dimensional organoid model, it will be much easier to understand the effect of microbiota and similar model can be used for the effectiveness of the treatment. As a result, it may offer new hopes to patients with reduced quality of life.
Servikal Vagal Schwannom: Olgu Sunumu
Authors: YILDIZ Muhammed Gazi , ORHAN İsrafil , KARA İrfan , BİLAL Nagihan
Published: June 2020

Schwannomlar (nörilemmoma) periferik, kranial ve otonomik sinirleri saran schwann hücrelerinden köken alan benign, kapsüllü, soliter ve yavaş büyüyen kitlelerdir. Bu tümörlerin %25-45’i baş boyun bölgesinde gözlenir. Vagal sinir kaynaklı schwannomlar ise nadir görülen neoplazmlardandır. Elli yedi yaşında erkek hasta, 6 yıldan beri boyunda şişlik şikâyeti nedeni ile kliniğimize başvurdu. Boyun Manyetik Rezonans görüntülemesinde (MRG), tuz biber görünümü olan yaklaşık 6x8cm boyutlarında kistik kitle olduğu görüldü. İntraoperatif olarak kitlenin vagal sinirden köken aldığı izlendi. Baş boyun schwannomları, özellikle de kistik vagal schwannomlar nadir görülmekle birlikte boyun kitlelerinin ayırıcı tanısında düşünülmelidir.
Migrant care workers in elderly care: what a study of media representations suggests about Sweden as a caring democracy
Authors: Torres Sandra , Lindblom Jonas
Published: June 2020

This article sheds light on the ways in which migrant care workers in the elderly care sector were represented in Swedish daily newspaper articles published between 1995 and 2017 (n = 370); it uses the notions of the “ethics of care” and “caring democracy” as a prism through which the findings can be made sense of. By bringing attention to the fact that they are often described as the solution par excellence to the staffing crisis Swedish elderly care is experiencing, this article draws attention to portrayals of these workers as people who are  both particularly good at caring and capable of providing culture-appropriate care. Thus, although depicted as “particular Others,” these workers are represented as an asset to the sector – a sector that is thought to offer much needed but highly undervalued services. By bringing attention to both of these representations, and using the theoretical and conceptual framework “ethics of care” formulated by Tronto, the article questions whether Sweden – a country often described as the epitome of an egalitarian society – can be regarded as a caring democracy.
Determination of Acoustic Compliance of Wind Farms
Authors: Cooper Steven , Chan Christopher
Published: June 2020

An issue exists around the world of wind farms that comply with permit conditions giving rise to noise complaints. Approval limits are normally expressed in A-weighted levels (dB(A)) external to residential receivers. The distance from the wind farm to residential receivers can result in difficulty in establishing the dB(A) contribution of the wind farm, as the overall noise includes background noise that can provide masking of the wind turbine noise. The determination of the ambient background at a receiver location (without the influence of the wind farm) presents challenges, as the background level varies with the wind and different seasons throughout the year. On-off testing of wind farms does not normally occur at high wind farm output and limits this approach for acoustic compliance testing of a wind farm. The use of a regression analysis method developed more than 20 years ago is questioned. Anomalies with respect to compliance procedures and the regression method of analysis based on real-world experience are discussed.
Potential of Biochar to Alternate Soil Properties and Crop Yields 3 and 4 Years after the Application
Authors: Aydin Elena , Šimanský Vladimír , Horák Ján , Igaz Dušan
Published: June 2020

Several studies have reported that biochar can improve soil properties which are linked with higher crop yields and this effect is long-term. This paper aimed to study the effects of biochar (0, 10 and 20 t ha−1) and its combinations with N-fertilization (zero, first and second level of N-fertilization) after 3 and 4 years of its application on improving soil characteristics of loamy Haplic Luvisol and crop yields (Dolná Malanta, Slovakia). The results indicated an increase in soil pH (+7%), improvement in sorption properties (hydrolytic acidity decreased by 11%, sum of basic cations and base saturation increased by 20% and 5%, respectively) and soil organic carbon rose by 27% with increasing biochar rate in the soil. N-fertilization applied to biochar treatments was a stabilizing moment in C sequestration even in the case of its labile forms. Overall, humus stability and quality were not significantly changed, however in biochar treatments without N-fertilization, the humus stability and quality decreased 3 and 4 years after biochar application. Yield parameters differed with relation to climate conditions during both vegetation crop seasons, however the combination of 20 t ha−1 of biochar with the first and second level of N-fertilization had the highest potential to increase the grain yield.
Health Risk Assessment in Agricultural Soil Potentially Contaminated by Geogenic Thallium: Influence of Plant Species on Metal Mobility in Soil-Plant System
Authors: Duri Luigi , Visconti Donato , Fiorentino Nunzio , Adamo Paola , Fagnano Massimo , Caporale Antonio
Published: June 2020

In agricultural soils, thallium (Tl) of geogenic origin may represent a potential risk for human health, mainly via ingestion of food crops. In this work, a pot experiment was carried out to evaluate (1) the bioavailability of Tl and other potentially toxic elements (PTEs) in an agricultural soil with naturally occurring Tl; (2) the uptake and accumulation of PTEs in Lactuca sativa L. var. acephala, Diplotaxis tenuifolia L. DC and Silene latifolia Poir; (3) the health risks arising from plant and soil ingestion by different subpopulations and dermal contact of soil by farmers. In soil, only Tl and Pb pseudototal contents were above Italian screening values. Nevertheless, the promptly bioavailable contents of all PTEs were always below internationally recognized trigger values. Plants affected PTE bioavailability in soil by their rhizodepositions and accumulated PTEs in their shoots. Acceptable risks (hazard index < 1) arose from dietary intake of both L. sativa L., D. tenuifolia L. and dermal contact of soil by farmers. Significant health risks can derive from the intake of S. latifolia Poir. (accumulating high Tl concentrations), in particular by children (HI = 74). In conclusion, an adequate management and crop selection are needed to profitably exploit soils with geogenic Tl for agricultural purposes.
Metabolomic Analysis for Compositional Differences of Bush Tea (Athrixia phylicoides DC.) Subjected to Seasonal Dynamics
Authors: Mohale Keletso C. , Bodede Olusola , Araya Hintsa T. , Mudau Fhatuwani N.
Published: June 2020

Bush tea (Athrixia phylicoides DC.) is a South African indigenous herbal tea rich in secondary metabolites with medicinal significance. However, studies on the effects of seasonal changes on bush tea and quantification of its metabolites using untargeted approach have not been explored. Therefore, this study’s objective was to investigate the effects of seasonal variation on the metabolites of bush tea using LC-MS/MS (Liquid Chromatography with Tandem Mass Spectrometry) and 1H NMR (High-Resolution Proton Nuclear Magnetic Resonance) techniques. Bush tea leaves were plucked once in each season namely, autumn (March to May), winter (June to August), spring (September to November), and summer (December to February). The primary metabolites including non-essential amino acids, organic acids, and vitamins in bush tea were predominantly elevated during summer and spring. The 1H NMR-based metabolomic analysis revealed that bush tea metabolome was strongly affected by seasonal variations, using the partial least squares-discriminant analysis (PLS-DA) which demonstrated four distinct groups of seasons. Similarly, the 1H NMR based metabolic profiling of bush tea subjected to different seasons resulted in putative annotation of six phenolic compounds which included rutin, 4-(hydroxyphenyl) propyl coumarate, caffeic acid, hymenoxin, quercetin, and kaempferol. The phenolics and primary metabolites differed remarkably per season with enhanced accumulation observed in the summer and spring harvested bush tea. The LC-MS and 1H NMR metabolomics analysis suggests that summer and spring can be recommended as preferred plucking seasons for bush tea leaves and twigs.
Polyphenols as Possible Agents for Pancreatic Diseases
Authors: Gašić Uroš , Ćirić Ivanka , Pejčić Tomislav , Radenković Dejan , Djordjević Vladimir , Radulović Siniša , Tešić Živoslav
Published: June 2020

Pancreatic cancer (PC) is very aggressive and it is estimated that it kills nearly 50% of patients within the first six months. The lack of symptoms specific to this disease prevents early diagnosis and treatment. Today, gemcitabine alone or in combination with other cytostatic agents such as cisplatin (Cis), 5-fluorouracil (5-FU), irinotecan, capecitabine, or oxaliplatin (Oxa) is used in conventional therapy. Outgoing literature provides data on the use of polyphenols, biologically active compounds, in the treatment of pancreatic cancer and the prevention of acute pancreatitis. Therefore, the first part of this review gives a brief overview of the state of pancreatic disease as well as the procedures for its treatment. The second part provides a detailed overview of the research regarding the anticancer effects of both pure polyphenols and their plant extracts. The results regarding the antiproliferative, antimetastatic, as well as inhibitory effects of polyphenols against PC cell lines as well as the prevention of acute pancreatitis are presented in detail. Finally, particular emphasis is given to the polyphenolic profiles of apples, berries, cherries, sour cherries, and grapes, given the fact that these fruits are rich in polyphenols and anthocyanins. Polyphenolic profiles, the content of individual polyphenols, and their relationships are discussed. Based on this, significant data can be obtained regarding the amount of fruit that should be consumed daily to achieve a therapeutic effect.
A Membership-Fusing Model for Characterizing the Shift of Methanogen Community in a Three-Stage Sludge-Treatment Process
Authors: Cai Linna , Li Hongyang , Yao Hong
Published: June 2020

Anaerobic digestion (AD) is an economical and effective method to treat sludge. AD with several pretreatments is the prior process to treat surplus sludge for a wastewater treatment plant. During a sludge-treatment process, various methanogens play their specific role in each sludge-processing stage where different methanogens predominate. Therefore, an expert in the shift of methanogen community could facilitate the workers in a plant to understand the efficiency of the sludge-treatment process. In this paper, a membership-fusing model is established to characterize the shift of methanogen community in a three-stage sludge-treatment process. The introduction of fuzzy sets clarifies the vagueness of the methanogen community structure between two processing stages. Dempster–Shafer (DS) evidence theory effectively alleviates the data error generated among paralleling samples. The accuracy of the model was verified, and the result shows the model could clearly distinguish the methanogen community structure of the three stages and make accurate judgment on the processing stage affiliation. The reliability of the model in dealing with different numbers of conflict data was proved and the experiment indicates the model could make a reliable judgment on the processing stage affiliation by reasonably fusing the interference data.
Whole Organ Engineering: Approaches, Challenges, and Future Directions
Authors: Sohn Sogu , Buskirk Maxwell Van , Buckenmeyer Michael J. , Londono Ricardo , Faulk Denver
Published: June 2020

End-stage organ failure remains a leading cause of morbidity and mortality across the globe. The only curative treatment option currently available for patients diagnosed with end-stage organ failure is organ transplantation. However, due to a critical shortage of organs, only a fraction of these patients are able to receive a viable organ transplantation. Those patients fortunate enough to receive a transplant must then be subjected to a lifelong regimen of immunosuppressant drugs. The concept of whole organ engineering offers a promising alternative to organ transplantation that overcomes these limitations. Organ engineering is a discipline that merges developmental biology, anatomy, physiology, and cellular interactions with enabling technologies such as advanced biomaterials and biofabrication to create bioartificial organs that recapitulate native organs in vivo. There have been numerous developments in bioengineering of whole organs over the past two decades. Key technological advancements include (1) methods of whole organ decellularization and recellularization, (2) three-dimensional bioprinting, (3) advanced stem cell technologies, and (4) the ability to genetically modify tissues and cells. These advancements give hope that organ engineering will become a commercial reality in the next decade. In this review article, we describe the foundational principles of whole organ engineering, discuss key technological advances, and provide an overview of current limitations and future directions.
Adaptive Early Warning Method Based on Similar Proportion and Probability Model
Authors: Li Yazhou , Dai Wei , Huang Tingting , Shi Meihua , Zhang Weifang
Published: June 2020

This paper presents a multi-state adaptive early warning method for mechanical equipment and proposes an adaptive dynamic update model of the equipment alarm threshold based on a similar proportion and state probability model. Based on the similarity of historical equipment, the initial thresholds of different health states of equipment can be determined. The equipment status is divided into four categories and analyzed, which can better represent its status and provide more detailed and reasonable guidance. The obtained dynamic alarm lines at all levels can regulate the operation range of equipment in the different health states. Compared to the traditional method of a fixed threshold, this method can effectively reduce the number of false alarms and attains a higher prediction accuracy, which demonstrates its effectiveness and superiority. Finally, the method was verified by means of lifetime data of a rolling bearings. The results show that the model improves the timely detection of the abnormal state of the equipment, greatly reduces the false alarm rate, and even overcomes the limitation of independence between the fixed threshold method and equipment state. Moreover, multi-state division can accurately diagnose the current equipment state, which should be considered in maintenance decision-making.
Easing ĐApp Interaction for Non-Blockchain Users from a Conceptual Modelling Approach
Authors: Teruel Miguel A. , Trujillo Juan
Published: June 2020

Blockchain decentralized applications (ÐApp’s) are applications which run on blockchains nodes. Thus, to interact directly with this sort of applications, users need to have a blockchain address, wallet, and knowledge about how to make transactions to interact with ÐApp’s. Therefore, the knowledge required to use a ÐApp can easily make users to desist when trying to interact with them. To tackle this issue, we propose a software architecture that will be in the middle of the user and the ÐApp, thus making users initially unaware of the fact that they are interacting with a ÐApp. This is achieved by analyzing the relationship between ÐApps and Apps by using UML modelling. Next, based on the previous analysis, we created a middleware for users to interact with a ÐApp in the same manner they do with a traditional web app, i.e., by using usernames, passwords and user interface elements instead of addresses, private keys or transactions. To put the developed middleware into practice, we developed a ÐApp that makes use of it. This ÐApp registers the time control of workers from companies by using blockchain to store the data in a secure and non-modifiable manner. Finally, we performed an experiment, thus demonstrating that a ÐApp that implements the proposed middleware would improve its usability for users with no experience with blockchain.
Use of Digital Technologies for Intensifying Knowledge Sharing
Authors: Stachová Katarína , Stacho Zdenko , Cagáňová Dagmar , Stareček Augustín
Published: June 2020

The operation of companies in the current environment, introducing the concept of Industry 4.0 and the establishment and expansion of inter-company networks, as well as open and knowledge-based systems in organizations, is a precondition for success in the efficient acquisition, processing, storage, and sharing of key information. The instruments created for this purpose came to the market gradually during the Third Industrial Revolution; however, with the outbreak of the Fourth Industrial Revolution, their development underwent a leap, whereas this stage is associated with the introduction and use of big data in human resources management. The aim of this paper is to analyze the current state of organizations operating with a focus on Slovakia, as well as the importance and knowledge value of the organizations, their way of internal sharing, and the level of knowledge database use for this purpose in the context of the region in which the organizations operate. On one hand, the results show a lack of businesses orientation with regard to this issue, especially in comparison with neighboring countries; however, on the other hand, they also show relatively significant progress in this area, which may increase competitiveness internationally in the near future.
Accelerating Super-Resolution and Visual Task Analysis in Medical Images
Authors: Zamzmi Ghada , Rajaraman Sivaramakrishnan , Antani Sameer
Published: June 2020

Medical images are acquired at different resolutions based on clinical goals or available technology. In general, however, high-resolution images with fine structural details are preferred for visual task analysis. Recognizing this significance, several deep learning networks have been proposed to enhance medical images for reliable automated interpretation. These deep networks are often computationally complex and require a massive number of parameters, which restrict them to highly capable computing platforms with large memory banks. In this paper, we propose an efficient deep learning approach, called Hydra, which simultaneously reduces computational complexity and improves performance. The Hydra consists of a trunk and several computing heads. The trunk is a super-resolution model that learns the mapping from low-resolution to high-resolution images. It has a simple architecture that is trained using multiple scales at once to minimize a proposed learning-loss function. We also propose to append multiple task-specific heads to the trained Hydra trunk for simultaneous learning of multiple visual tasks in medical images. The Hydra is evaluated on publicly available chest X-ray image collections to perform image enhancement, lung segmentation, and abnormality classification. Our experimental results support our claims and demonstrate that the proposed approach can improve the performance of super-resolution and visual task analysis in medical images at a remarkably reduced computational cost.
Semi-Automatic Cloud-Native Video Annotation for Autonomous Driving
Authors: Sánchez-Carballido Sergio , Senderos Orti , Nieto Marcos , Otaegui Oihana
Published: June 2020

An innovative solution named Annotation as a Service (AaaS) has been specifically designed to integrate heterogeneous video annotation workflows into containers and take advantage of a cloud native highly scalable and reliable design based on Kubernetes workloads. Using the AaaS as a foundation, the execution of automatic video annotation workflows is addressed in the broader context of a semi-automatic video annotation business logic for ground truth generation for Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS). The document presents design decisions, innovative developments, and tests conducted to provide scalability to this cloud-native ecosystem for semi-automatic annotation. The solution has proven to be efficient and resilient on an AD/ADAS scale, specifically in an experiment with 25 TB of input data to annotate, 4000 concurrent annotation jobs, and 32 worker nodes forming a high performance computing cluster with a total of 512 cores, and 2048 GB of RAM. Automatic pre-annotations with the proposed strategy reduce the time of human participation in the annotation up to 80% maximum and 60% on average.
Dynamic Corrosion Test Using LiNO3 Containing Molten Salt for CSP Applications
Authors: Fernández Angel G. , Muñoz-Sánchez Belén , Nieto-Maestre Javier , Cabeza Luisa F.
Published: June 2020

Low melting point thermal energy storage (TES) materials have been proposed in the last years to reduce the storage cost in concentrating solar power (CSP) technology. One of the most interesting additive due to the enhancement in thermal properties is lithium nitrate. However, there is a lack of dynamic corrosion tests to simulate real operation conditions in CSP plants. In this work, we present a dynamic reactor set up where a mixture of 30 wt.% LiNO3 + 57 wt.% KNO3 + 13 wt.%. NaNO3 is moved through a mechanical stirrer obtaining a lineal speed of 0.30 m/s. A commercial carbon steel A516 was tested as container material at 390 °C during 1000 h. Fe2O3 and Fe3O4 were obtained as the main corrosion products by scanning electron microscopy (SEM) and x-ray diffraction (XRD) with a metallographic corrosion rate of 0.015 mm/year.
Reform or Consensus? Choral Synagogues in the Russian Empire
Authors: Levin Vladimir
Published: June 2020

Many scholars view the choral synagogues in the Russian Empire as Reform synagogues, influenced by the German Reform movement. This article analyzes the features characteristic of Reform synagogues in central and Western Europe, and demonstrates that only a small number of these features were implemented in the choral synagogues of Russia. The article describes the history, architecture, and reception of choral synagogues in different geographical areas of the Russian Empire, from the first maskilic synagogues of the 1820s–1840s to the revolution of 1917. The majority of changes, this article argues, introduced in choral synagogues were of an aesthetic nature. The changes concerned decorum, not the religious meaning or essence of the prayer service. The initial wave of choral synagogues were established by maskilim, and modernized Jews became a catalyst for the adoption of the choral rite by other groups. Eventually, the choral synagogue became the “sectorial” synagogue of the modernized elite. It did not have special religious significance, but it did offer social prestige and architectural prominence.
Innovative Scaled Hardware Simulator for Designing and Testing an EV’s Battery Storage System Incorporated with an Adaptive ANN Model
Authors: Bezha Minella , Ishii Makoto , Shoda Takahiro , Hoshide Yuki , Nagaoka Naoto
Published: June 2020

In this study, a scaled-down system, which can be used as a benchmark test for the battery storage designing of electric vehicles (EVs) is proposed. This model was based on the hardware simulator of the battery storage system (BSS) used from a single cell up to 4 cells in a series pack system, which simulates a practical battery pack. The developed simulator can charge and discharge any rechargeable battery, such as Li-Ion, Ni–MH or Pb battery. The scaling ratio of the simulator was evaluated by the ratio of the current or power of the battery pack specimen related to the specification. Also, this study proposes an innovative state of charge (SoC) estimation of the battery pack for EVs based on genuine results obtained through practical tests. This estimation was carried out by an adaptive artificial neural network (ANN) algorithm, using simple inputs. As well, this model can deduct the state of health (SoH) of the battery pack based on the power output level and waveform characteristics. The results of the ANN showed high generalization, a low error of SoC estimation at the level of 1.1%, with a calculation time less than 16.5 s. Regarding the hardware simulator, the similarity of the results and waveform accuracy of the scaled-down battery systems compared with the real battery pack was very acceptable with a maximum deviation of 2.1% in the worst scenario. The cells cycled with different depths of discharge (DoD) or C-rates, at different temperatures with different initial SoCs using any arbitrary current waveforms. Our conclusions will help battery manufacturers to test and evaluate the performance of the BSS in different applications, such as EVs, PV generation, and wind farm, with significant cost reduction. Also, the ANN algorithm can be used and embedded in EVs or in any other industrial application, as proposed in this paper. This study contributed to the real-time diagnosis of the BSS without interrupting the normal operation based on its features.
Development of Glypican-3 Targeting Immunotoxins for the Treatment of Liver Cancer: An Update
Authors: Fleming Bryan D. , Ho Mitchell
Published: June 2020

Hepatocellular carcinoma (HCC) accounts for most liver cancers and represents one of the deadliest cancers in the world. Despite the global demand for liver cancer treatments, there remain few options available. The U.S. Food and Drug Administration (FDA) recently approved Lumoxiti, a CD22-targeting immunotoxin, as a treatment for patients with hairy cell leukemia. This approval helps to demonstrate the potential role that immunotoxins can play in the cancer therapeutics pipeline. However, concerns have been raised about the use of immunotoxins, including their high immunogenicity and short half-life, in particular for treating solid tumors such as liver cancer. This review provides an overview of recent efforts to develop a glypican-3 (GPC3) targeting immunotoxin for treating HCC, including strategies to deimmunize immunotoxins by removing B- or T-cell epitopes on the bacterial toxin and to improve the serum half-life of immunotoxins by incorporating an albumin binding domain.
Biological Manganese Removal by Novel Halotolerant Bacteria Isolated from River Water
Authors: Nguyen Van Khanh , Ha Myung-Gyu , Kang Ho Young , Nguyen Dinh Duc
Published: June 2020

Manganese-oxidizing bacteria have been widely investigated for bioremediation of Mn-contaminated water sources and for production of biogenic Mn oxides that have extensive applications in environmental remediation. In this study, a total of 5 Mn-resistant bacteria were isolated from river water and investigated for Mn removal. Among them, Ochrobactrum sp. NDMn-6 exhibited the highest Mn removal efficiency (99.1%). The final precipitates produced by this strain were defined as a mixture of Mn2O3, MnO2, and MnCO3. Optimal Mn-removal performance by strain NDMn-6 was obtained at a temperature range of 25–30 °C and the salinity of 0.1–0.5%. More interestingly, strain NDMn-6 could be resistant to salinities of up to 5%, revealing that this strain could be possibly applied for Mn remediation of high salinity regions or industrial saline wastewaters. This study also revealed the potential of self-detoxification mechanisms, wherein river water contaminated with Mn could be cleaned by indigenous bacteria through an appropriate biostimulation scheme.
Sequence-Dependent Correlated Segments in the Intrinsically Disordered Region of ChiZ
Authors: Hicks Alan , Escobar Cristian , Cross Timothy , Zhou Huan-Xiang
Published: June 2020

How sequences of intrinsically disordered proteins (IDPs) code for their conformational dynamics is poorly understood. Here, we combined NMR spectroscopy, small-angle X-ray scattering (SAXS), and molecular dynamics (MD) simulations to characterize the conformations and dynamics of ChiZ1-64. MD simulations, first validated by SAXS and secondary chemical shift data, found scant α-helices or β-strands but a considerable propensity for polyproline II (PPII) torsion angles. Importantly, several blocks of residues (e.g., 11–29) emerge as “correlated segments”, identified by their frequent formation of PPII stretches, salt bridges, cation-π interactions, and sidechain-backbone hydrogen bonds. NMR relaxation experiments showed non-uniform transverse relaxation rates (R2s) and nuclear Overhauser enhancements (NOEs) along the sequence (e.g., high R2s and NOEs for residues 11–14 and 23–28). MD simulations further revealed that the extent of segmental correlation is sequence-dependent; segments where internal interactions are more prevalent manifest elevated “collective” motions on the 5–10 ns timescale and suppressed local motions on the sub-ns timescale. Amide proton exchange rates provides corroboration, with residues in the most correlated segment exhibiting the highest protection factors. We propose the correlated segment as a defining feature for the conformations and dynamics of IDPs.
Human Figure Drawings in Children with Autism Spectrum Disorders: A Possible Window on the Inner or the Outer World
Authors: Papangelo Pamela , Pinzino Martina , Pelagatti Susanna , Fabbri-Destro Maddalena , Narzisi Antonio
Published: June 2020

Background: Tests based on human figure drawings (HFD) have captured the attention of clinicians and psychologists for a long time. The aim of the present study was to evaluate the performance of HFD of children with autism spectrum disorders (ASDs) relative to typically developing (TD) controls. Methods: All children were asked to draw three human figures (man, woman, self-portrait) and were evaluated with a neuropsychological battery. HFD were scored according to the Maturity Scale, and correlative approaches testing maturity against neuropsychological scores were applied. Results: ASDs presented marked deficits in maturity. No significant correlation emerged for both groups between maturity and the theory of mind test. On the contrary, positive and significant correlations between maturity and the affect recognition test (AR) were found, with group-specific patterns. In TD, this result regarded drawings of others, but not self-portraits, while an opposite pattern emerged for ASD, whose sole maturity in self-portraits significantly correlated with the AR scores. Conclusion: These findings suggest that the use of HFD tests with individuals with autism may not be used in clinical practices. However, in basic research, HFDs could be used to highlight dependencies between drawing performance and neuropsychological features, thus possibly providing hints on the functioning of autism.
Fabrication of a Nitrogen and Boron-Doped Reduced Graphene Oxide Membrane-Less Amperometric Sensor for Measurement of Dissolved Oxygen in a Microbial Fermentation
Authors: Chinnathambi Selvaraj , Kumar Sumit , Euverink Gert-Jan Willem
Published: June 2020

Dissolved oxygen (DO) is an important parameter to monitor in processes applicable in, for example, water technology and fermentation. In this study, we report the manufacturing of a membrane-less amperometric sensor that is based on the electrocatalytic reduction of oxygen. The sensor was tested in pH-neutral KNO3 solutions and in a microbial fermentation to monitor the consumption of dissolved oxygen. The nitrogen and boron-doped reduced graphene oxide (N,B-HRGO) is used as an electrocatalyst for oxygen reduction. One step co-doping of nitrogen and boron on graphene oxide is performed using the hydrothermal method. The sensor responded linearly to the DO concentration. A sensitivity of 0.2 µA/mg·L−1 O2 is obtained for the DO concentration of 1.5 to 10 mg·L−1 O2. The membrane-less N,B-HRGO based DO sensor is successfully tested in an Amycolotopsis methanolica fermentation by monitoring the dissolved oxygen in real-time. The sensor detected the consumption of oxygen during the growth of A. methanolica, which shows the compatibility of N,B-HRGO as electrode material for amperometric measurement of dissolved oxygen in aerobic fermentation. This membrane-less amperometric sensor can be used to fabricate microdevices for microbioreactor applications.
Mixed Generalized Multiscale Finite Element Method for a Simplified Magnetohydrodynamics Problem in Perforated Domains
Authors: Alekseev Valentin , Tang Qili , Vasilyeva Maria , Chung Eric T. , Efendiev Yalchin
Published: June 2020

In this paper, we consider a coupled system of equations that describes simplified magnetohydrodynamics (MHD) problem in perforated domains. We construct a fine grid that resolves the perforations on the grid level in order to use a traditional approximation. For the solution on the fine grid, we construct approximation using the mixed finite element method. To reduce the size of the fine grid system, we will develop a Mixed Generalized Multiscale Finite Element Method (Mixed GMsFEM). The method differs from existing approaches and requires some modifications to represent the flow and magnetic fields. Numerical results are presented for a two-dimensional model problem in perforated domains. This model problem is a special case for the general 3D problem. We study the influence of the number of multiscale basis functions on the accuracy of the method and show that the proposed method provides a good accuracy with few basis functions.
Quantum-Gravity Stochastic Effects on the de Sitter Event Horizon
Authors: Cremaschini Claudio , Tessarotto Massimo
Published: June 2020

The stochastic character of the cosmological constant arising from the non-linear quantum-vacuum Bohm interaction in the framework of the manifestly-covariant theory of quantum gravity (CQG theory) is pointed out. This feature is shown to be consistent with the axiomatic formulation of quantum gravity based on the hydrodynamic representation of the same CQG theory developed recently. The conclusion follows by investigating the indeterminacy properties of the probability density function and its representation associated with the quantum gravity state, which corresponds to a hydrodynamic continuity equation that satisfies the unitarity principle. As a result, the corresponding form of stochastic quantum-modified Einstein field equations is obtained and shown to admit a stochastic cosmological de Sitter solution for the space-time metric tensor. The analytical calculation of the stochastic averages of relevant physical observables is obtained. These include in particular the radius of the de Sitter sphere fixing the location of the event horizon and the expression of the Hawking temperature associated with the related particle tunneling effect. Theoretical implications for cosmology and field theories are pointed out.
State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review
Authors: Ali Syed Saqib , Choi Bong Jun
Published: June 2020

The power system worldwide is going through a revolutionary transformation due to the integration with various distributed components, including advanced metering infrastructure, communication infrastructure, distributed energy resources, and electric vehicles, to improve the reliability, energy efficiency, management, and security of the future power system. These components are becoming more tightly integrated with IoT. They are expected to generate a vast amount of data to support various applications in the smart grid, such as distributed energy management, generation forecasting, grid health monitoring, fault detection, home energy management, etc. With these new components and information, artificial intelligence techniques can be applied to automate and further improve the performance of the smart grid. In this paper, we provide a comprehensive review of the state-of-the-art artificial intelligence techniques to support various applications in a distributed smart grid. In particular, we discuss how artificial techniques are applied to support the integration of renewable energy resources, the integration of energy storage systems, demand response, management of the grid and home energy, and security. As the smart grid involves various actors, such as energy produces, markets, and consumers, we also discuss how artificial intelligence and market liberalization can potentially help to increase the overall social welfare of the grid. Finally, we provide further research challenges for large-scale integration and orchestration of automated distributed devices to realize a truly smart grid.
A Novel High Gain Wideband MIMO Antenna for 5G Millimeter Wave Applications
Authors: Sehrai Daniyal Ali , Abdullah Mujeeb , Altaf Ahsan , Kiani Saad Hassan , Muhammad Fazal , Tufail Muhammad , Irfan Muhammad , Glowacz Adam , Rahman Saifur
Published: June 2020

A compact tree shape planar quad element Multiple Input Multiple Output (MIMO) antenna bearing a wide bandwidth for 5G communication operating in the millimeter-wave spectrum is proposed. The radiating element of the proposed design contains four different arcs to achieve the wide bandwidth response. Each radiating element is backed by a 1.57 mm thicker Rogers-5880 substrate material, having a loss tangent and relative dielectric constant of 0.0009 and 2.2, respectively. The measured impedance bandwidth of the proposed quad element MIMO antenna system based on 10 dB criterion is from 23 GHz to 40 GHz with a port isolation of greater than 20 dB. The measured radiation patterns are presented at 28 GHz, 33 GHz and 38 GHz with a maximum total gain of 10.58, 8.87 and 11.45 dB, respectively. The high gain of the proposed antenna further helps to overcome the atmospheric attenuations faced by the higher frequencies. In addition, the measured total efficiency of the proposed MIMO antenna is observed above 70% for the millimeter wave frequencies. Furthermore, the MIMO key performance metrics such as Mean Effective Gain (MEG) and Envelope Correlation Coefficient (ECC) are analyzed and found to conform to the required standard of MEG < 3 dB and ECC < 0.5. A prototype of the proposed quad element MIMO antenna system is fabricated and measured. The experimental results validate the simulation design process conducted with Computer Simulation Technology (CST) software.
Evaluation of Mathematical Model to Characterize the Performance of Conventional and Hybrid PV Array Topologies under Static and Dynamic Shading Patterns
Authors: Premkumar Manoharan , Subramaniam Umashankar , Babu Thanikanti , Elavarasan Rajvikram , Mihet-Popa Lucian
Published: June 2020

The analysis and the assessment of interconnected photovoltaic (PV) modules under different shading conditions and various shading patterns are presented in this paper. The partial shading conditions (PSCs) due to the various factors reduce the power output of PV arrays, and its characteristics have multiple peaks due to the mismatching losses between PV panels. The principal objective of this paper is to model, analyze, simulate and evaluate the performance of PV array topologies such as series-parallel (SP), honey-comb (HC), total-cross-tied (TCT), ladder (LD) and bridge-linked (BL) under different shading patterns to produce the maximum power by reducing the mismatching losses (MLs). Along with the conventional PV array topologies, this paper also discusses the hybrid PV array topologies such as bridge-linked honey-comb (BLHC), bridge-linked total-cross-tied (BLTCT) and series-parallel total-cross-tied (SPTCT). The performance analysis of the traditional PV array topologies along with the hybrid topologies is carried out during static and dynamic shading patterns by comparing the various parameters such as the global peak (GP), local peaks (LPs), corresponding voltage and current at GP and LPs, fill factor (FF) and ML. In addition, the voltage and current equations of the HC configuration under two shading conditions are derived, which represents one of the novelties of this paper. The various parameters of the SPR-200-BLK-U PV module are used for PV modeling and simulation in MATLAB/Simulink software. Thus, the obtained results provide useful information to the researchers for healthy operation and power maximization of PV systems.
Optimization Design and Analysis of Supersonic Tandem Rotor Blades
Authors: Pan Ruochi , Song Zhaoyun , Liu Bo
Published: June 2020

To explore the flow mechanism and improve the performance of supersonic tandem rotor blades, the supersonic rotor Rotor37 is taken as the prototype and redesigned to an original supersonic tandem rotor. Then, based on the Kriging model, the physical programming method, and improved particle swarm optimization algorithm, a multi-objective optimization methodology is developed and applied to achieve the multi-objective optimization of the supersonic tandem rotor blades. Compared with Rotor37, the mass flow and surge margin of the original tandem rotor obviously increased. However, the efficiency of the original tandem rotor was slightly lower than Rotor37. After multi-objective optimization, compared with the original tandem rotor, the total pressure ratio and efficiency of the optimized tandem rotor significantly increased, and the efficiency increased by 1.6%. Further, the surge margin increased by 2.75%. The range and intensity of the high-loss region in the middle section of the optimized tandem rotor significantly decreased, and the range of the low-loss area in the middle region and tip region significantly increased, but the range and strength of the high-loss area in the tip region changed a little. The reason for the decrease of total pressure loss in the middle region and tip region is that the three-dimensional optimization of the blade significantly reduced the shock loss and boundary layer separation loss of the front blade. At the same time, the mixing loss between low energy fluid and the main flow in blade wake also reduced. Besides, the three-dimensional optimization of the blade had little impact on the leakage flow and the secondary flow generated by the mutual interference of the leakage flow and shock wave.
A Novel Module Independent Straight Line-Based Fast Maximum Power Point Tracking Algorithm for Photovoltaic Systems
Authors: Debnath Anjan , Olowu Temitayo O. , Parvez Imtiaz , Dastgir Md Golam , Sarwat Arif
Published: June 2020

The maximum power point tracking (MPPT) algorithm has become an integral part of many charge controllers that are used in photovoltaic (PV) systems. Most of the existing algorithms have a compromise among simplicity, tracking speed, ability to track accurately, and cost. In this work, a novel “straight-line approximation based Maximum Power Point (MPP) finding algorithm” is proposed where the intersections of two linear lines have been utilized to find the MPP, and investigated for its effectiveness in tracking maximum power points in case of rapidly changing weather conditions along with tracking speed using standard irradiance and temperature curves for validation. In comparison with a conventional Perturb and Observe (P&O) method, the Proposed method takes fewer iterations and also, it can precisely track the MPP s even in a rapidly varying weather condition with minimal deviation. The Proposed algorithm is also compared with P&O algorithm in terms of accuracy in duty cycle and efficiency. The results show that the errors in duty cycle and power extraction are much smaller than the conventional P&O algorithm.
International Energy Security Risk Index—Analysis of the Methodological Settings
Authors: Podbregar Iztok , Šimić Goran , Radovanović Mirjana , Filipović Sanja , Šprajc Polona
Published: June 2020

The main objective of this paper is to analyze model settings of the International Energy Security Risk Index developed by the U.S. Chamber of Commerce. The study was performed using stepwise regression, principal component analysis, and Promax oblique rotation. The conclusion of the regression analysis shows that Crude Oil Price and Global Coal Reserves are sufficient to explain 90% of the variance of the Index. However, if a model that explains 100% of the variance of the Index is chosen and other variables are added, Global Coal Reserves loses importance due to the presence of other parameters in which it is contained. Regardless of the chosen model of analysis, it is evident that there is room for revising the Index and removing variables that do not contribute to its precision. The research showed that the main disadvantage of the variables that make up the Index rests with the fact that the variables are of different degrees of generality, that is, one parameter is contained in other parameters (unclear which other). The research covers data for 25 countries over a 26-year period, with the first year of the research being 1980 and the last 2016 (the latest available report).
Quantifying the Building Energy Dynamics of Manhattan, New York City, Using an Urban Building Energy Model and Localized Weather Data
Authors: Li Wenliang
Published: June 2020

Building sectors account for major energy use and greenhouse gas emissions in the US. While urban building energy-use modeling has been widely applied in many studies, limited studies have been conducted for Manhattan, New York City (NYC). Since the release of the new “80-by-50” law, the NYC government has committed to reducing carbon emissions by 80% by 2050; indeed, the government is facing a big challenge for reducing the energy use and carbon emissions. Therefore, understanding the building energy use of NYC with a high spatial and temporal resolution is essential for the government and local citizens in managing building energy use. This study quantified the building energy use of Manhattan in NYC with consideration of the local microclimate by integrating two popular modeling platforms, the Urban Weather Generator (UWG) and Urban Building Energy Modeling (UBEM). The research results suggest that (1) the largest building energy use is in central Manhattan, which is composed of large numbers of commercial buildings; (2) a similar seasonal electricity-use pattern and significantly different seasonal gas-use patterns could be found in Manhattan, NYC, due to the varied seasonal cooling and heating demand; and (3) the hourly energy-use profiles suggest only one electricity-use peak in the summer and two gas-use peaks in the winter.