bluuebunny/crossref_metadata_2025 huggingface dataset:
CONSTITUTIONAL AND LEGAL EXPERIENCE OF INTERACTION OF BICAMERAL PARLIAMENTS OF THE CIS COUNTRIES IN THE SPHERE OF FOOD SECURITY
Authors:   Law Institute of the National Research University “BelSU”, Belgorod State National Research University, Belgorod, Russian Federation, MARKHGEYM MARINA , BEZUGLAYA ANNA
Published: December 2020

The article presents the author’s analysis of constitutional texts, regulations and analytical materials of the countries of the Commonwealth of Independent States in order to consolidate in them the consolidated powers of the chambers of parliaments associated with the implementation of food security. Analysis of legal acts of the studied group of states showed that the sphere of food security (as part of the agrarian and food sphere/function) is one of the eventual spheres of interaction between the chambers of parliament. In the course of the study, two approaches of states to the formalization of provisions related to food security in constitutional texts were identified. The first approach is to consolidate norms that indirectly affect the field of food security (Belarus, Kazakhstan, Russia); the second - in the absence of such provisions (Tajikistan and Uzbekistan). It has been established that the interaction of the chambers of parliaments in the field of food security is implemented through the adoption of laws, as well as through various parliamentary events (parliamentary hearings, round tables, seminars, meetings, etc.). It is concluded that the available options for interaction between the chambers of parliaments of states in the field of food security reflect their independent approaches, which are developed on the basis of legal doctrine and practice.
RESEARCH OF THEORETICAL ISSUES OF IMPLEMENTATION OF NETWORK CONTRACTS (SMART CONTRACTS) ON THE EXAMPLE OF RUSSIA AND FOREIGN COUNTRIES
Authors:   Peoples Friendship University of Russia (RUDN University), Moscow, Russian Federation, BELIKOVA KSENIA
Published: December 2020

This article is aimed at studying of theoretical issues of implementing network contracts (smart contracts) on the example of Russia and foreign countries, based on the fact that its knowledge allowed and allows to successfully solve current problems of legal regulation in our country. The starting point of the research is network communication as a non-market type of communication. The article analyzes the provisions of approaches to the legal regulation of network contracts (smart contracts) developed in the new technological reality, taking into account the experience of foreign countries and the Russian Federation that determine the acceptability of the use of blockchain in the field of legal regulation of such a type of interaction between the parties to the contract that is updated according to present technological era. The relevance, theoretical and practical significance of this research is due to the emergence of new tools for interaction between the parties to the contract in the context of using blockchain technology. The author's results, among other things, are presented in the idea that the ability to compile codes by software tools that ensure the fulfillment of obligations under contracts (smart contracts) that are used in the blockchain network not only expands the latter's utilities from simple information storage to participation in the system of economic transactions, but also is an excellent tool for automatic fulfillment of the obligations stated in them.
OIL PRODUCT MARKET TRENDS AND FORECASTS
Authors:   State University of Management, Moscow, Russian Federation, PANKOV DMITRY A. , AFANASIEV VALENTIN YA.
Published: December 2020

The purpose of the research. The relevance of the article is due to the decline in the consumption of petroleum products in the world and in Russia in particular, as well as changes in the structure of demand for petroleum products. The crisis related to the COVID-19 factor had a significant impact on the oil and petroleum products market. Consequently, this article is aimed at identifying the prospects for the development of the oil product market. Results. The leading approach to the study of this problem is the analysis of current indicators of the oil product market, which allows a comprehensive review of current market trends and prospects for its development. Based on the analysis, it can be concluded that in 2020, the volume of primary processing is expected to decrease, which will not suffer as much as the production of crude oil. However, all markets are expected to recover in 2021. It should be noted that the production of products aimed at the domestic market (automobile gasoline and diesel fuel) has increased in recent years. Fuel oil and gas oil production, which is export-oriented, decreased compared to 2014. Exports of petroleum products such as motor gasoline, diesel fuel, bitumen, and vacuum gas oil have not changed significantly over the past few years, while exports of fuel oil have declined significantly. The reduction in production and export of fuel oil is associated with a drop in the attractiveness of fuel oil exports as a result of an increase in export duties. In the future, diesel fuel production and exports are projected to increase, while fuel oil production and exports will continue to decline. The article has a practical value for companies working in the oil refining industry, public and private investors.
PREDICTION OF EARTH ROTATION PARAMETERS WITH USING ADAPTIVE HARMONIC PATTERNS
Authors:   Siberian State University of Geosystems and Technologies, Tissen Victor M. , Tolstikov Alecsandr S. ,   Siberian State University of Geosystems and Technologies, Simonovа Galina V. ,   Siberian State University of Geosystems and Technologies
Published: December 2020

The article discusses the methodology for predicting the Earth's rotation parameters (ERP), which differs from the generally accepted one's in that for constructing prognostic models, time series of initial data of various durations are used. At the same time, the estimation of the parameters of models of slow trend changes performed in the interval of the training sample of about 100 years. Intervals from 6 to 40 years are used to evaluate the parameters of the faster quasiperiodic and regular components. This method of dividing the time series into training sample intervals of different durations allows obtaining adaptive models of slow and fast changes in time series with their subsequent integration into a complete prognostic model. The practical implementation of the proposed methodology showed high stability of the forecasting results for all ERP regardless start date of the forecast, which was confirmed by the results of its testing in various international projects and programs.
METHODOLOGY FOR DESIGNING AND EVALUATING RESULTS OF GEODESIC OBSERVATIONS OF ENGINEERING STRUCTURES USING THE LEAST SQUARE METHOD
Authors:   St. Petersburg Mining University, Hatoum Habib Mazen , Mustafin Murat G. ,   St. Petersburg Mining University
Published: December 2020

In geodetic practice, the use of robotic total stations in monitoring the deformation processes becomes the norm. In this case, various software systems for processing the measured values and their visualization are used. At the same time, issues of optimizing the deformation network and interpreting the results of observations remain very relevant today. In addition, ensuring the stability of control (initial) points still remains a problem in solving various tasks, and above all in monitoring observations. Previously, it was apriori assumed that the starting points located outside the zone of influence of the observed object are considered stable. However, to achieve reliable results with various measurements, the stability of the starting points should be checked and this should be considered as an additional monitoring parameter. There are developments in this direction, and they are related to the consideration of displacements and deformation marks and starting points in a single system (network). The research results presented in this article are novel in terms of the methodology and algorithm for calculating the coordinates of observation stations, deformation marks, and starting points without building a single network. At the same time, each observation cycle provides an assessment of the stability of all points. The observation technique was developed in relation to the construction of an engineering structure: an excavation for the subway lobby. The issues of optimizing the location of observation stations, deformation marks (points), and assessing the accuracy of their displacements are successively considered. When analyzing the relative displacements of the deformation marks, the ellipses of the error of the position of the points are compared. If the resulting displacement between the measurement cycles goes beyond this ellipse, then speaking about the significance of the displacement and its direction is allowed. A simplified method for detecting the displacements of the starting points by comparing the elements of the residual matrices determined in different observation cycles is also considered.
Analysis of The Leading Sector of North Penajam Paser Regency 2015 – 2019
Authors: Sofi Irfan
Published: December 2020

The Central Government has designated North Penajam Paser Regency as one of the new capital areas. The aim of the Government to move the capital city from Java Island is for equitable development and economic growth. The existence of limited regional funds requires local governments to arrange the priority of economic sectors which have to be developed in their regions. Mistakes in selecting priority sectors will cause waste of funds and underdevelopment of the regional economy. The purpose of this research is to identify and analyze the leading sectors of North Penajam Paser Regency. This research uses Location Quotient and Shift Share analysis methods with Gross Regional Domestic Product for 2015 to 2019. The results showed that the construction and real estate sectors were the leading sectors.
Polysaccharide-Based Nanomaterials for Ocular Drug Delivery: A Perspective
Authors: Yu Haozhe , Wu Wenyu , Lin Xiang , Feng Yun
Published: December 2020

Ocular drug delivery is one of the most challenging issues in ophthalmology because of the complex physiological structure of the eye. Polysaccharide-based nanomaterials have been extensively investigated in recent years as ideal carriers for enhancing the bioavailability of drugs in the ocular system because of their biocompatibility and drug solubilization. From this perspective, we discuss the structural instability of polysaccharides and its impact on the synthesis process; examine the potential for developing bioactive polysaccharide-based ocular drug nanocarriers; propose four strategies for designing novel drug delivery nanomaterials; and suggest reviewing the behavior of nanomaterials in ocular tissues.
Anti-glioblastoma Activity of Kaempferol via Programmed Cell Death Induction: Involvement of Autophagy and Pyroptosis
Authors: Chen Suqin , Ma Jing , Yang Liu , Teng Muzhou , Lai Zheng-Quan , Chen Xiaoyu , He Jingjin
Published: December 2020

Glioblastoma is one of the most common and lethal intracranial malignant, and is still lack of ideal treatments. Kaempferol is a major nutrient found in various edible plants, which has exhibited the potential for the treatment of glioblastoma. However, the specific anti-glioma mechanism of kaempferol is yet to be studied. Herein, we aim to explore the mechanisms underlying the anti-glioma activity of kaempferol. Our results demonstrated that kaempferol suppresses glioma cell proliferation in vitro and inhibits tumor growth in vivo. Moreover, kaempferol raises ROS and decreases mitochondrial membrane potential in glioma cells. The high levels of ROS induce autophagy then ultimately trigger the pyroptosis of glioma cells. Interestingly, when we used 3-MA to inhibit autophagy, we found that the cleaved form of GSDME was also decreased, suggesting that kaempferol induces pyroptosis through regulating autophagy in glioma cells. In conclusion, this study revealed kaempferol possesses good anti-glioma activity by inducing ROS, and subsequently leads to autophagy and pyroptosis, highlighting its clinical potentials as a natural nutrient against glioblastoma.
Resolvins: Potent Pain Inhibiting Lipid Mediators via Transient Receptor Potential Regulation
Authors: Roh Jueun , Go Eun Jin , Park Jin-Woo , Kim Yong Ho , Park Chul-Kyu
Published: December 2020

Chronic pain is a serious condition that occurs in the peripheral nervous system (PNS) and the central nervous system (CNS). It is caused by inflammation or nerve damage that induces the release of inflammatory mediators from immune cells and/or protein kinase activation in neuronal cells. Both nervous systems are closely linked; therefore, inflammation or nerve damage in the PNS can affect the CNS (central sensitization). In this process, nociceptive transient receptor potential (TRP) channel activation and expression are increased. As a result, nociceptive neurons are activated, and pain signals to the brain are amplified and prolonged. In other words, suppressing the onset of pain signals in the PNS can suppress pain signals to the CNS. Resolvins, endogenous lipid mediators generated during the resolution phase of acute inflammation, inhibit nociceptive TRP ion channels and alleviate chronic pain. This paper summarizes the effect of resolvins in chronic pain control and discusses future scientific perspectives. Further study on the effect of resolvins on neuropathic pain will expand the scope of pain research.
Mesenchymal Stromal Cell-Derived Extracellular Vesicles – Silver Linings for Cartilage Regeneration?
Authors: De Luna Andrea , Otahal Alexander , Nehrer Stefan
Published: December 2020

As the world’s population is aging, the incidence of the degenerative disease Osteoarthritis (OA) is increasing. Current treatment options of OA focus on the alleviation of the symptoms including pain and inflammation rather than on restoration of the articular cartilage. Cell-based therapies including the application of mesenchymal stromal cells (MSCs) have been a promising tool for cartilage regeneration approaches. Due to their immunomodulatory properties, their differentiation potential into cells of the mesodermal lineage as well as the plurality of sources from which they can be isolated, MSCs have been applied in a vast number of studies focusing on the establishment of new treatment options for Osteoarthritis. Despite promising outcomes in vitro and in vivo, applications of MSCs are connected with teratoma formation, limited lifespan of differentiated cells as well as rejection of the cells after transplantation, highlighting the need for new cell free approaches harboring the beneficial properties of MSCs. It has been demonstrated that the regenerative potential of MSCs is mediated by the release of paracrine factors rather than by differentiation into cells of the desired tissue. Besides soluble factors, extracellular vesicles are the major component of a cell’s secretome. They represent novel mechanisms by which (pathogenic) signals can be communicated between cell types as they deliver bioactive molecules (nucleic acids, proteins, lipids) from the cell of origin to the target cell leading to specific biological processes upon uptake. This review will give an overview about extracellular vesicles including general characteristics, isolation methods and characterization approaches. Furthermore, the role of MSC-derived extracellular vesicles in in vitro and in vivo studies for cartilage regeneration will be summarized with special focus on transported miRNA which either favored the progression of OA or protected the cartilage from degradation. In addition, studies will be reviewed investigating the impact of MSC-derived extracellular vesicles on inflammatory arthritis. As extracellular vesicles are present in all body fluids, their application as potential biomarkers for OA will also be discussed in this review. Finally, studies exploring the combination of MSC-derived extracellular vesicles with biomaterials for tissue engineering approaches are summarized.
An Intrinsic Oscillation of Gene Networks Inside Hair Follicle Stem Cells: An Additional Layer That Can Modulate Hair Stem Cell Activities
Authors: Daszczuk Patrycja , Mazurek Paula , Pieczonka Tomasz D. , Olczak Alicja , Boryń Łukasz M. , Kobielak Krzysztof
Published: December 2020

This article explores and summarizes recent progress in and the characterization of main players in the regulation and cyclic regeneration of hair follicles. The review discusses current views and discoveries on the molecular mechanisms that allow hair follicle stem cells (hfSCs) to synergistically integrate homeostasis during quiescence and activation. Discussion elaborates on a model that shows how different populations of skin stem cells coalesce intrinsic and extrinsic mechanisms, resulting in the maintenance of stemness and hair regenerative potential during an organism’s lifespan. Primarily, we focus on the question of how the intrinsic oscillation of gene networks in hfSCs sense and respond to the surrounding niche environment. The review also investigates the existence of a cell-autonomous mechanism and the reciprocal interactions between molecular signaling axes in hfSCs and niche components, which demonstrates its critical driving force in either the activation of whole mini-organ regeneration or quiescent homeostasis maintenance. These exciting novel discoveries in skin stem cells and the surrounding niche components propose a model of the intrinsic stem cell oscillator which is potentially instructive for translational regenerative medicine. Further studies, deciphering of the distribution of molecular signals coupled with the nature of their oscillation within the stem cells and niche environments, may impact the speed and efficiency of various approaches that could stimulate the development of self-renewal and cell-based therapies for hair follicle stem cell regeneration.
FK506 Induces the TGF-β1/Smad 3 Pathway Independently of Calcineurin Inhibition to Prevent Intervertebral Disk Degeneration
Authors: Ge Jun , Wang Yingjie , Yan Qi , Wu Cenhao , Yu Hao , Yang Huilin , Zou Jun
Published: December 2020

Background

Intervertebral disk (IVD) degeneration is the most common cause of lower back pain. Inhibiting inflammation is a key strategy for delaying IVD degeneration. Tacrolimus (FK506) is a potent immunosuppressive agent that is also beneficial to chondrocytes via alleviating inflammation. However, the potential function of FK506 in IVD and the underlying mechanisms remain unknown. The current study is aim at exploring the underlying mechanism of FK506 in preventing IVD degeneration.

Methods

Cell morphology was imaged using an optical microscope. mRNA levels of nucleus pulposus (NP) matrix components were determined by qRT-PCR, and protein expression NP matrix components was assessed by western blotting. A rat caudal IVD degeneration model was established to test for FK506 in vivo.

Results

FK506 improved the morphology of NP cells and the cell function at both the mRNA and protein level. FK506 could attenuate NP degeneration induced by IL-1β. Furthermore, FK506 exerted its function via TGFβ/Smad3 activation instead of through calcineurin inhibition. Inhibition of the TGF-β pathway prevented the protective effect of FK506 on IVD degeneration. In an in vivo study, FK506 injection reversed the development of rat caudal IVD degeneration influenced by Smad3.

Conclusion

Our current study demonstrates the positive effect of FK506 on delaying the degeneration of IVD via the TGFβ/Smad3 pathway.
Modeling Rett Syndrome With Human Patient-Specific Forebrain Organoids
Authors: Gomes Ana Rita , Fernandes Tiago G. , Vaz Sandra H. , Silva Teresa P. , Bekman Evguenia P. , Xapelli Sara , Duarte Sofia , Ghazvini Mehrnaz , Gribnau Joost , Muotri Alysson R. , Trujillo Cleber A. , Sebastião Ana M. , Cabral Joaquim M. S. , Diogo Maria Margarida
Published: December 2020

Engineering brain organoids from human induced pluripotent stem cells (hiPSCs) is a powerful tool for modeling brain development and neurological disorders. Rett syndrome (RTT), a rare neurodevelopmental disorder, can greatly benefit from this technology, since it affects multiple neuronal subtypes in forebrain sub-regions. We have established dorsal and ventral forebrain organoids from control and RTT patient-specific hiPSCs recapitulating 3D organization and functional network complexity. Our data revealed a premature development of the deep-cortical layer, associated to the formation of TBR1 and CTIP2 neurons, and a lower expression of neural progenitor/proliferative cells in female RTT dorsal organoids. Moreover, calcium imaging and electrophysiology analysis demonstrated functional defects of RTT neurons. Additionally, assembly of RTT dorsal and ventral organoids revealed impairments of interneuron’s migration. Overall, our models provide a better understanding of RTT during early stages of neural development, demonstrating a great potential for personalized diagnosis and drug screening.
Smart Responsive Nanoformulation for Targeted Delivery of Active Compounds From Traditional Chinese Medicine
Authors: Jiang Xuejun , Lin Mei , Huang Jianwen , Mo Mulan , Liu Houhe , Jiang Yuan , Cai Xiaowen , Leung Wingnang , Xu Chuanshan
Published: December 2020

Traditional Chinese medicine (TCM) has been used to treat disorders in China for ~1,000 years. Growing evidence has shown that the active ingredients from TCM have antibacterial, antiproliferative, antioxidant, and apoptosis-inducing features. However, poor solubility and low bioavailability limit clinical application of active compounds from TCM. “Nanoformulations” (NFs) are novel and advanced drug-delivery systems. They show promise for improving the solubility and bioavailability of drugs. In particular, “smart responsive NFs” can respond to the special external and internal stimuli in targeted sites to release loaded drugs, which enables them to control the release of drug within target tissues. Recent studies have demonstrated that smart responsive NFs can achieve targeted release of active compounds from TCM at disease sites to increase their concentrations in diseased tissues and reduce the number of adverse effects. Here, we review “internal stimulus–responsive NFs” (based on pH and redox status) and “external stimulus–responsive NFs” (based on light and magnetic fields) and focus on their application for active compounds from TCM against tumors and infectious diseases, to further boost the development of TCM in modern medicine.
Host DDX Helicases as Possible SARS-CoV-2 Proviral Factors: A Structural Overview of Their Hijacking Through Multiple Viral Proteins
Authors: Squeglia Flavia , Romano Maria , Ruggiero Alessia , Maga Giovanni , Berisio Rita
Published: December 2020

As intracellular parasites, viruses hijack the host cell metabolic machinery for their replication. Among other cellular proteins, the DEAD-box (DDX) RNA helicases have been shown to be hijacked by coronaviruses and to participate in essential DDX-mediated viral replication steps. Human DDX RNA helicases play essential roles in a broad array of biological processes and serve multiple roles at the virus-host interface. The viral proteins responsible for DDX interactions are highly conserved among coronaviruses, suggesting that they might also play conserved functions in the SARS-CoV-2 replication cycle. In this review, we provide an update of the structural and functional data of DDX as possible key factors involved in SARS-CoV-2 hijacking mechanisms. We also attempt to fill the existing gaps in the available structural information through homology modeling. Based on this information, we propose possible paths exploited by the virus to replicate more efficiently by taking advantage of host DDX proteins. As a general rule, sequestration of DDX helicases by SARS-CoV-2 is expected to play a pro-viral role in two ways: by enhancing key steps of the virus life cycle and, at the same time, by suppressing the host innate immune response.
The Implications of Extreme Weather Events for Attaining the Sustainable Development Goals in Sub-Saharan Africa
Authors: Codjoe Samuel N. A. , Atiglo D. Yaw
Published: December 2020

Sub-Saharan Africa is among the regions that contribute least to global climate change, yet it is among the most vulnerable to its impacts due to low levels of economic and technological development. The frequency and magnitude of extreme weather events in the region are rising at a faster rate than the population capacity to deal with the attendant disasters. This paper interrogates some emerging and existing evidence of the potential for extreme weather events to obviate countries' attainment of the Sustainable Development Goals (SDGs). Whilst previous studies have assessed the vulnerabilities of sub-Saharan African (SSA) countries to extreme weather events on specific sectors, a comprehensive assessment of the implications of these extreme events for attaining the SDGs remains largely untouched. This paper assesses the impacts of flooding, extreme heat and drought on five key SDGs—Zero hunger (Goal 2), Good health and well-being (Goal 3), Quality education (Goal 4), Clean water and sanitation (Goal 6), and Sustainable cities and communities (Goal 11). Based on empirical cases from different SSA country contexts, and guided by the SDG targets and indicators, we discuss the main interactions between extreme weather events and different SDGs, emerging with a framework for the climate change—sustainable development nexus. Such an assessment, with regard to specific national and local case studies, would inform policy formulation and implementation, research and investment toward sustainable development in the region. Integrating resilence strategies into national development policies will offer sub-Saharan African countries the opportunity to reduce the impacts of extreme weather events on attaining their targets for sustainable development towards Agenda 2030.
Prevalence and Prognostic Significance of Frailty in Gerontal Inpatients With Pre-clinical Heart Failure: A Subgroup Analysis of a Prospective Observational Cohort Study in China
Authors: Zheng Pei-Pei , Yao Si-Min , Shi Jing , Wan Yu-Hao , Guo Di , Cui Ling-Ling , Sun Ning , Wang Hua , Yang Jie-Fu
Published: December 2020

Objective: To evaluate the prognostic value of frailty in gerontal pre-clinical heart failure (stage B heart failure, SBHF) inpatients.

Background: The association between frailty and SBHF remains unknown.

Methods: We conducted a subgroup analysis of a prospective observational cohort study on frailty. The previous study recruited 1,000 elderly inpatients who were consecutively admitted to a tertiary referral hospital in Beijing, China, from September 2018 to February 2019. The outcomes were all-cause death or readmission at 1-year follow-up. SBHF was diagnosed for asymptomatic cardiac structural or functional abnormalities. Frailty was assessed using the Comprehensive Geriatric Assessment-Frailty Index (CGA-FI).

Results: Overall, 531 inpatients aged ≥65 years were deemed to have SBHF and followed up for 1 year. Of them, 34.5% exhibited frailty. During the follow-up period, all-cause death or readmission occurred in 157 (29.5%) participants. Of these participants, 36.6% (67/183) and 25.9% (90/348) belonged to the frail and non-frail groups, respectively (χ2 = 6.655, P = 0.010). Frailty, defined by the CGA-FI, rather than Fried frailty phenotype, could independently predict 1-year all-cause death or readmission (hazard ratio, 1.56; 95% confidence interval, 1.03–2.35; P = 0.034) and was more suitable for predicting all-cause death or readmission than N-terminal pro-B-type natriuretic peptide in female SBHF inpatients aged 80 years or over(AUCCGA−FI vs. AUCNT−proBNP 0.654 vs. 0.575, P = 0.017).

Conclusions: Frailty is highly prevalent even among SBHF inpatients aged ≥65 years. The CGA-FI can independently predict 1-year all-cause death or readmission, rather than Fried frailty phenotype. Frailty in gerontal SBHF inpatients deserves more attention.

Clinical Trial registration: ChiCTR1800017204; date of registration: 07/18/2018.
Mineralogy of Nickel and Cobalt Minerals in Xiarihamu Nickel–Cobalt Deposit, East Kunlun Orogen, China
Authors: Han Yixiao , Liu Yunhua , Li Wenyuan
Published: December 2020

Located in the East Kunlun Orogen, China, the Xiarihamu magmatic nickel–cobalt sulfide deposit is the country’s second largest deposit of this type. It was formed in special early Paleozoic with low copper grade (0.14 wt%) compared with other deposits of the same type. The mineralogy of nickel and cobalt minerals, which are direct carriers of these elements, can clearly reflect their behavior in the process of mineralization; however, such information for this deposit remains unreported. In the present study, we use an electron microscope and electron probe microanalyzer to delineate and analyze many nickel and cobalt minerals such as maucherite, nickeline, cobaltite, violarite, gersdorffite, parkerite, and arsenohauchecornite in various rocks and ores. With the increase in crustal material contamination, it can reach arsenide saturation locally in sulfide melt, then a separate Ni-rich arsenide (bismuth) melt exsolves somewhere. This melt will crystallize into nickeline, parkerite, arsenohauchecornite, and maucherite first. Second, most of nickel and cobalt tend to enter cobaltite and pentlandite phases, rather than existing in chalcopyrite and pyrrhotite phases as isomorphism during sufficient fractional crystallization of sulfide melt, which gathered nickel and cobalt elements widely. Also, more than one magma might result in the superposition of ore-forming elements. Later, the ore-forming elements redistribute limitedly through a hydrothermal process. The metallogenic mechanism model of nickel and cobalt established in the present study not only explains the process of nickel–cobalt mineralization in Xiarihamu but also can be applied to similar deposits and has a wide universal replicability.
Has Stratospheric HCl in the Northern Hemisphere Been Increasing Since 2005?
Authors: Han Yuanyuan , Xie Fei , Zhang Jiankai
Published: December 2020

Stratospheric hydrogen chloride (HCl) is the main stratospheric reservoir of chlorine, deriving from the decomposition of chlorine-containing source gases. Its trend has been used as a metric of ozone depletion or recovery. Using the latest satellite observations, it is found that the significant increase of Northern Hemisphere stratospheric HCl during 2010–2011 can mislead the trend of HCl in recent decades. In agreement with previous studies, HCl increased from 2005 to 2011; however, when the large increase of stratospheric HCl during 2010–2011 is removed, the increasing linear trend from 2005 to 2011 becomes weak and insignificant. In addition, the linear trend of Northern Hemisphere stratospheric HCl from 2005 to 2016 is also weak and insignificant. The significant increase of HCl during 2010–2011 is attributed to a strong northern polar vortex and a weakened residual circulation, which slowed down the transport of HCl between the low-mid latitudes and the high latitudes, leading to an accumulation of HCl in the middle latitudes of the stratosphere. In addition, a weakened residual circulation leads to enhance conversion of chlorine-containing source gases of different lifetimes to HCl, thus increasing the levels of HCl. Simulations by both chemistry transport and chemistry-climate models support the result. It is further found that the joint effect of a La Niña event, the west phase of the quasi-biennial oscillation and positive anomalies of sea surface temperature in the North Pacific is responsible for the strong northern polar vortex and a weakened residual circulation.
Connecting Judgment Process and Accuracy of Student Teachers: Differences in Observation and Student Engagement Cues to Assess Student Characteristics
Authors: Schnitzler Katharina , Holzberger Doris , Seidel Tina
Published: December 2020

Teachers' ability to assess student cognitive and motivational-affective characteristics is a requirement to support individual students with adaptive teaching. However, teachers have difficulty in assessing the diversity among their students in terms of the intra-individual combinations of these characteristics in student profiles. Reasons for this challenge are assumed to lie in the behavioral and cognitive activities behind judgment processes. Particularly, the observation and utilization of diagnostic student cues, such as student engagement, might be an important factor. Hence, we investigated how student teachers with high and low judgment accuracy differ with regard to their eye movements as a behavioral and utilization of student cues as a cognitive activity. Forty-three participating student teachers observed a video vignette showing parts of a mathematics lesson to assess student characteristics of five target students, and reported which cues they used to form their judgment. Meanwhile, eye movements were tracked. Student teachers showed substantial diversity in their judgment accuracy. Those with a high judgment accuracy showed slight tendencies toward a more “experienced” pattern of eye movements with a higher number of fixations and shorter average fixation duration. Although all participants favored diagnostic student cues for their assessments, an epistemic network analysis indicated that student teachers with a high judgment accuracy utilized combinations of diagnostic student cues that clearly pointed to specific student profiles. Those with a low judgment accuracy had difficulty using distinct combinations of diagnostic cues. Findings highlight the power of behavioral and cognitive activities in judgment processes for explaining teacher performance of judgment accuracy.
Implementation of Ion Exchange Processes for Carbon Dioxide Mineralization Using Industrial Waste Streams
Authors: Bustillos Steven , Alturki Abdulaziz , Prentice Dale , La Plante Erika Callagon , Rogers Mitchell , Keller Mark , Ragipani Raghavendra , Wang Bu , Sant Gaurav , Simonetti Dante A.
Published: December 2020

Sequestration of CO2 within stable mineral carbonates (e.g., CaCO3) represents an attractive emission reduction strategy because it offers a leakage-free alternative to geological storage of CO2 in an environmentally benign form. However, the pH of aqueous streams equilibrated with gaseous streams containing CO2 (pH < 4) are typically lower than that which is required for carbonate precipitation (pH > 8). Traditionally, alkalinity is provided by a stoichiometric reagent (e.g., NaOH) which renders these processes environmentally hazardous and economically unfeasible. This work investigates the use of regenerable ion-exchange materials to induce alkalinity in CO2-saturated aqueous solutions such that the pH shift required for mineralization occurs without the need for stoichiometric reagents. Na+-H+ exchange isotherms (at [H+] = 10−8–10−1 M) and rates were measured for 13X and 4A zeolites and TP-207 and TP-260 organic exchange resins in batch equilibrium and fixed-bed exchange experiments, respectively. At solutions equilibrated with CO2 at 1.0 atm (pH = 3.9), H+ exchange capacities for the materials were similar (1.7–2.4 mmol H+/g material) and resulted in pH increases from 3.9 to greater than 8.0. Multi-component mixtures using Ca2+ and Mg2+ cations (at 10−3–10−1 M) in CO2-saturated water were used to probe competitive ion exchange. The presence of divalent cations in solution inhibited H+ exchange, reducing capacities to as low as 0.2 mmol H+/g for both resins and zeolites. Dynamic H+ exchange capacities in fixed-bed ion exchange columns were similar to equilibrium values for resins (∼1.5 mmol/g) and zeolites (∼0.8 mmol/g) using inlet solutions that were equilibrated with gaseous streams of CO2 at 1.0 atm. However, exchange kinetics were limited by intraparticle diffusion as indicated by the increased rate parameters with increasing inlet flow rates (20–160 cm3 min−1). Experimental calcite precipitation from mixing the alkaline CO32−-rich water solution obtained from the ion-exchange column with a simulated liquid waste stream solution achieved thermodynamic maximum yields. The results from these studies indicate that ion exchange processes can be used as an alternative to the addition of stoichiometric bases to induce alkalinity for the precipitation of CaCO3, thereby opening a pathway toward sustainable and economic mineralization processes.
Information Theory Can Help Quantify the Potential of New Phenotypes to Originate as Exaptations
Authors: Wagner Andreas
Published: December 2020

Exaptations are adaptive traits that do not originate de novo but from other adaptive traits. They include complex macroscopic traits, such as the middle ear bones of mammals, which originated from reptile jaw bones, but also molecular traits, such as new binding sites of transcriptional regulators. What determines whether a trait originates de novo or as an exaptation is unknown. I here use simple information theoretic concepts to quantify a molecular phenotype’s potential to give rise to new phenotypes. These quantities rely on the amount of genetic information needed to encode a phenotype. I use these quantities to estimate the propensity of new transcription factor binding phenotypes to emerge de novo or exaptively, and do so for 187 mouse transcription factors. I also use them to quantify whether an organism’s viability in one of 10 different chemical environment is likely to arise exaptively. I show that informationally expensive traits are more likely to originate exaptively. Exaptive evolution is only sometimes favored for new transcription factor binding, but it is always favored for the informationally complex metabolic phenotypes I consider. As our ability to genotype evolving populations increases, so will our ability to understand how phenotypes of ever-increasing informational complexity originate in evolution.
Field-Deployed Extruded Seed Pellets Show Promise for Perennial Grass Establishment in Arid Zone Mine Rehabilitation
Authors: Stock Emma , Standish Rachel J. , Muñoz-Rojas Miriam , Bell Richard W. , Erickson Todd E.
Published: December 2020

Current methods of mine rehabilitation in the arid zone have a high failure rate at seedling emergence largely due to limited availability of topsoil and low water-holding capacity of alternative growth substrates such as mining overburden and tailings. Further, seedlings have consistently failed to emerge from seeds sown on the soil surface using traditional broadcasting methods. Seed pellets, formed by extruding soil mixtures and seeds into pellets, can potentially increase soil water uptake through enhanced soil-seed contact and thereby improve seedling emergence. We tested an extruded seed pelleting method in a three-factor field experiment (i.e., different pellet-soil mixtures, organic amendments, and simulated rainfall regimes) in north-western Australia. Given the observed lack of seedling emergence from broadcast seeds, the aims of the experiment were to assess: (i) the use of pellets to promote native seedling emergence and establishment and; (ii) the soil physico-chemical and microbiological changes that occur with this method of rehabilitation. The effects of pellet-soil mixtures, organic amendment, and rainfall regime on seedling emergence and survival of three native plant species suggest trade-offs among responses. Pellets made with a 1:1 blend of topsoil and a loamy-sand waste material had the highest seedling emergence, while 100% topsoil pellets had lower emergence probably because of hardsetting. Triodia pungens (a native grass) survived to the end of the experiment while Indigofera monophylla and Acacia inaequilatera (native shrubs) emerged but did not survive. Adding an organic amendment in the extruded pellet inhibited Triodia seedling emergence but increased soil microbial activity. Overall, extruded pellets made from a 1:1 blend showed promise for the establishment of Triodia seeds and beneficially, incorporates mine waste overburden and lesser amounts of topsoil. Further research is needed to improve pelleting production and to test the applicability of the method at scale, for different species and other ecosystem types.
The Joint-Brain Axis: Insights From Rheumatoid Arthritis on the Crosstalk Between Chronic Peripheral Inflammation and the Brain
Authors: Süß Patrick , Rothe Tobias , Hoffmann Alana , Schlachetzki Johannes C. M. , Winkler Jürgen
Published: December 2020

Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by erosive polyarthritis. Beyond joint pathology, RA is associated with neuropsychiatric comorbidity including depression, anxiety, and an increased risk to develop neurodegenerative diseases in later life. Studies investigating the central nervous system (CNS) in preclinical models of RA have leveraged the understanding of the intimate crosstalk between peripheral and central immune responses. This mini review summarizes the current knowledge of CNS comorbidity in RA patients and known underlying cellular mechanisms. We focus on the differential regulation of CNS myeloid and glial cells in different mouse models of RA reflecting different patterns of peripheral immune activation. Moreover, we address CNS responses to anti-inflammatory treatment in human RA patients and mice. Finally, to illustrate the bidirectional communication between the CNS and chronic peripheral inflammation, we present the current knowledge about the impact of the CNS on arthritis. A comprehensive understanding of the crosstalk between the CNS and chronic peripheral inflammation will help to identify RA patients at risk of developing CNS comorbidity, setting the path for future therapeutic approaches in both RA and neuropsychiatric diseases.
Monoclonal Antibodies Capable of Inhibiting Complement Downstream of C5 in Multiple Species
Authors: Zelek Wioleta M. , Morgan B. Paul
Published: December 2020

Better understanding of roles of complement in pathology has fuelled an explosion of interest in complement-targeted therapeutics. The C5-blocking monoclonal antibody (mAb) eculizumab, the first of the new wave of complement blocking drugs, was FDA approved for treatment of Paroxysmal Nocturnal Hemoglobinuria in 2007; its expansion into other diseases has been slow and remains restricted to rare and ultra-rare diseases such as atypical hemolytic uremic syndrome. The success of eculizumab has provoked other Pharma to follow this well-trodden track and made C5 blockade the busiest area of complement drug development. C5 blockade inhibits generation of C5a and C5b, the former an anaphylatoxin, the latter the nidus for formation of the pro-inflammatory membrane attack complex. In order to use anti-complement drugs in common complement-driven diseases, more affordable and equally effective therapeutics are needed. To address this, we explored complement inhibition downstream of C5. Novel blocking mAbs targeting C7 and/or the C5b-7 complex were generated, identified using high throughput functional assays and specificity confirmed by immunochemical assays and surface plasmon resonance (SPR). Selected mAbs were tested in rodents to characterize pharmacokinetics, and therapeutic capacity. Administration of a mouse C7-selective mAb to wildtype mice, or a human C7 specific mAb to C7-deficient mice reconstituted with human C7, completely inhibited serum lytic activity for >48 h. The C5b-7 complex selective mAb 2H2, most active in rat serum, efficiently inhibited serum lytic activityin vivofor over a week from a single low dose (10 mg/kg); this mAb effectively blocked disease and protected muscle endplates from destruction in a rat myasthenia model. Targeting C7 and C7-containing terminal pathway intermediates is an innovative therapeutic approach, allowing lower drug dose and lower product cost, that will facilitate the expansion of complement therapeutics to common diseases.
Isolation of Burkholderia sp. HQB-1, A Promising Biocontrol Bacteria to Protect Banana Against Fusarium Wilt Through Phenazine-1-Carboxylic Acid Secretion
Authors: Xu Zhizhou , Wang Mingyuan , Du Jinpeng , Huang Ting , Liu Jianfu , Dong Tao , Chen Yinglong
Published: December 2020

Fusarium wilt is a devastating soil-borne fungal disease caused by Fusarium oxysporum f.sp. cubense (Foc). In recent years, some antifungal bacteria have been applied for the prevention and biocontrol of pathogenic fungi. In our study, a bacterial strain HQB-1, isolated from banana rhizosphere soil, was cultured for investigation. It showed broad-spectrum antifungal activities against representative phytopathogenic fungi including Fusarium oxysporum, Colletotrichum gloeosporioides, Botrytis cinerea, and Curvularia fallax. The strain HQB-1 was identified as Burkholderia sp. by morphological, physiological, and biochemical examinations, confirmed by 16S rRNA gene sequence analysis. Among the metabolites produced by the strain, we identified an antifungal compound which was identified phenazine-1-carboxylic acid (PCA) (C13H8N2O2) through ultraviolet, liquid chromatography quadrupole-time of flight mass spectrometer, and nuclear magnetic response. Furthermore, PCA exhibited the lowest minimum inhibitory concentration (MIC) against F. oxysporum (1.56 μg/ml) and yielded the highest MIC against C. gloeosporioides. Pot experiments showed that application of 5 μg/ml or more of PCA efficiently controlled banana wilt and promoted the growth of banana plants. These results suggested that Burkholderia sp. HQB-1, as an important microbial resource of PCA, could be a promising biological agent against wilt diseases and promoting banana growth.
KLHL5 Is a Prognostic-Related Biomarker and Correlated With Immune Infiltrates in Gastric Cancer
Authors: Wu Qiulin , Yin Guobing , Lei Jinwei , Tian Jiao , Lan Ailin , Liu Shengchun
Published: December 2020

Background: KLHL5 (Kelch Like Family Member 5) is differentially expressed in gastric cancer, but its correlation with prognosis and functioning mechanism in gastric cancer remain unclear.

Methods: The Oncomine database and TIMER were employed to appraise the KLHL5 expression in a variety of cancers. The correlation between KLHL5 expression and patient prognosis was extracted from the Kaplan–Meier plotter, GEPIA, and PrognoScan database. Then the relationship between KLHL5 expression and inflammatory infiltrate profiles was inquired by TIMER. Finally, GEPIA and TIMER were explored for the correlative significance between KLHL5 expression and immune cell–related marker sets.

Results: KLHL5 was found to be differentially expressed and correlated with clinical outcomes in several types of cancers in the TCGA database. Especially, KLHL5 mRNA expression was upregulated and correlated with poorer overall survival and progression-free survival in gastric cancer. Moreover, elevated KLHL5 expression was significantly related with patient node stage, infiltration level, and expression of multiple immune marker sets.

Conclusions: These results implicate that KLHL5 expression is closely linked with patient clinical outcomes and the microenvironmental infiltration level in different neoplasms. This indicates that KLHL5 is a modulator in infiltrate recruitment, shaping the landscape of immune cell infiltration. Thus, it represents an eligible prognostic predictor for gastric malignancy.