bluuebunny/crossref_metadata_2025_split huggingface dataset:
Some aspects of sustainable urban planning using environmental solutions
Authors: Sineeva Natalya 
Published: December 2021

Abstract
The ecological aspect of urbanization is reflected in the fact that cities are increasingly concentrating all types of environmental pollution, which become serious problems of the deteriorating of people living conditions. In the Future megalopolises more than 70% of the population will live in the next few decades according to the UN report. It is necessary to make all conditions for the ideas implementation of comfortable and safe cities. Research and innovation of ecological solutions for eco-cities includes four directions. The article discusses one of them, it is the Enhancing the sustainable urbanization, its classification, which include the sustainable Urban Planning with the Sustainable Drainage System (SuDS) approach. The article provides functions and advantages of SuDS systems. Particular attention is paid to the zones of forgotten urban spaces. These zones can improve business and residential areas, as multi-functional design with nature can create new dynamic spaces that increase property values, thereby attracting investors, improving citizens’ well-being. The article provides some examples of draft designs for the improvement of the coastal zones of the Yeltsovka-2 River, located in the area of Zaeltsovsky Park.
The transformation of the spatial system within the framework of the integrated development of the territory
Authors: Merkurieva K 
Published: December 2021

Abstract
The study is devoted to the problem of transforming the formed spatial system within the boundaries of the planning element. As a result of the analysis of the study area, the author identifies a number of basic problems of planning and development of an urbanized space, the elimination of which is possible when using the methods of renovating the housing stock. The author examines the compliance of the existing regulatory framework of the proposed method with modern requirements for the implementation of life, identifies the key aspects of changing the content of urban planning documentation of an element of the planning structure in the direction of the integrated development of the territory, and also describes the mechanism for implementing a systemic approach in the formation of a renovated spatial system.
The energy context of Turkish-Russian relations: is it cooperation or competition?
Authors: Ukşal O , Mikail E H 
Published: December 2021

Abstract
Energy requirements brought about by the industrialization and rapid population growth in developing countries such as Turkey have led to different processes. In particular, the inadequacy of underground sources of energy to meet the energy demand, Turkey is headed to energy imports. This situation makes Turkey dependent on outside day by day. European Union countries lacking in energy sources such as Turkey, are making various energy agreements in order to solve this problem. In these energy agreements, the source geography is the Asian continent, especially the Caucasus. Turkey, along with Russia, is the main actor on the energy route between East and West. Partnership on energy with Russia began in the 1960s has made Russia the dominant power for Turkey’s energy. This study examines the energy relationship between Turkey and Russia, where cooperation and rivalry are inevitable in terms of national and international interests. In this context, the factors that are subject to the energy relationship between the two countries were discussed in the study. The conclusion reached at the end of the study is that although the competition is at the forefront, the two countries have to cooperate as they are the main actors for the East-West energy route.
Substantiation of reducing gas emissions from industrial wastewater treatment plants of a fish plant
Authors: Bondarenko Nikita , Kondakova Nadezda , Serpokrylov Nikolay , Starovoitov Sergey 
Published: December 2021

Abstract
The release of foul-smelling substances polluting the atmosphere from animal husbandry complexes, facilities for processing agricultural products (animal raw materials and aquaculture), as well as from treatment facilities of the listed facilities is a discussed topic among specialized specialists and the media since it turns out to be the cause of complaints from the population living in the immediate area. Based on a brief literature review of scientific works on topics related to gaseous emissions from livestock and poultry complexes, experimental studies were carried out to substantiate the reduction of gas emissions based on determining the quantitative and qualitative compositions and components of the gas-air mixture above the surface of the waste liquid in the sewage treatment facilities of the fish plant. Based on the results obtained, a technology based on sorption purification was proposed to reduce the number of emissions. The use of natural materials is proposed as a sorbent, which is a major benefit.
Feasibility study of municipal wastewater removal synchronized with electricity generation via solar-driven photocatalytic fuel cell with Bi2WO6/ZnO nanorods array photoanode
Authors: Yong Zi-Jun , Lam Sze-Mun , Sin Jin-Chung , RahmanMohamed Abdul 
Published: December 2021

Abstract
The reclamation of energy from municipal wastewater treatment process is highly demanded and could resolve the two most formidable dilemmas of water pollution and energy crisis nowadays. In this study, a photocatalytic fuel cell (PFC) utilizing a Z-scheme heterojunction Bi2WO6/ZnO nanorod arrays (NRAs) photoanode was employed for efficient municipal wastewater treatment and electricity generation simultaneously under sunlight irradiation. Various characterization techniques, including energy dispersive X-ray (EDX), field-emission scanning electron microscopy (FESEM), X-ray diffraction (XRD), electrochemical impedance spectroscopy (EIS), transient photoresponse (TPR), and linear sweep voltammetry (LSV) were used to analyze the physical, chemical and photoelectrochemical characteristics of the as-synthesized photoanode. The results indicated that the Z-scheme heterojunction Bi2WO6/ZnO NRAs exhibited the excellent photocatalytic performance under sunlight irradiation as compared to pristine ZnO NRAs. Ergo, the PFC system achieved complete removal of COD and produced 3.30 μW cm−2, 37.10 μA cm−2 and 563 mV of maximum power density (Pmax
), short-current density (Jsc) and open-circuit voltage (Voc) within 4 h of sunlight irradiation, respectively. The boosted photoactivity was ascribed to the successful formation of the Z-scheme hybridization interface betwixt the Bi2WO6 and ZnO NRAs, that not only enhanced the visible light adsorption of ZnO NRAs, concomitantly significantly accelerated the spatial charge separation and restrained the electron-hole pair recombination.
Amalgamation of g-C3N4 with KNbO3 for enhanced removal of Bisphenol A under sunlight irradiation
Authors: Song Bing Cong , Sim Lan Ching , Chin Yik Heng , Wong Ling Yong , Saravanan Pichiah , Dai Chaomeng , Leong Kah Hon 
Published: December 2021

Abstract
Bisphenol A (BPA) is a pollutant exits in an enormous amount in wastewater effluent resulted from the rapid industrialization. Advanced oxidation technology (AOP) based on solar photocatalysis can be employed to solve this issue. This study will focus on adopting photocatalyst graphitic carbon nitride (g-C3N4) with potassium niobate (KNbO3) via a simple sol-gel synthesis method. The different weight percentages 0.5, 1.0 and 1.5 wt% g-C3N4, were adopted to formed KNbO3/g-C3N4composites. The physicochemical properties of the created KNbO3/g-C3N4composites were characterized with advanced analysis methods to unveil this composite’s ability to enhance the photodegradation of BPA under sunlight irradiation. It was found that 1.0 wt% KNbO3/g-C3N4composites exhibited the highest photocatalytic degradation of 69.39% in 5 h. This superior photodegradation of BPA was achieved resulted from the presence of g-C3N4that enhances light-harvesting, especially in the visible light spectrum. The increase of light-harvesting enables the composite to excite more electrons and holes leading to the massive formation of active radicals. These massive active radicals will then enhance the redox reaction and further improve the efficacy of the photodegradation of BPA. Hence, the outcome of this study path an alternative solution for eliminating complex organic pollutants in wastewater treatment.
Adsorption of fluoride from industrial wastewater using polymer adsorbents: a review
Authors: Pang Chee Yung , Issabayeva Gulnaziya , Low Chen Hwa , Wong Mee Chu 
Published: December 2021

Abstract
Fluoride pollution in ground and surface water originates from naturally occurring reactions and industrial activities such as the disposal of industrial wastewater. Amongst different fluoride removal technologies including chemical precipitation, membrane filtration, ion exchange processes, and electrodialysis, adsorption is an attractive method for fluoride removal from wastewater due to its low operational cost, simplicity, and good sustainability. Various adsorbents are used for fluoride removal including, metal oxides and hydroxide, carbonaceous adsorbents, zeolite, polysaccharides, and polyresin adsorbents. This review studies the application of modified polysaccharides and polyresin adsorbents for the removal of fluoride from wastewater. The relationship between the adsorption conditions and the resulting adsorption capacity is thoroughly discussed. Based on the reported studies, modified polysaccharides and polyresins adsorbents can effectively remove fluoride from wastewater achieving high adsorption capacity, the highest being 92.39 mg/g for aluminum impregnated amberlite at pH 3. Furthermore, aluminum impregnated adsorbents reported a higher fluoride adsorption capacity than other modification methods where the three adsorbents with the highest fluoride adsorption capacity are: aluminum impregnated amberlite 92.39 mg/g at pH 3> zirconium immobilized crossed linked chitosan 48.26 mg/g at pH 6 > chitosan/aluminum hydroxide beads 17.68 mg/g at pH 4. In addition, polymeric adsorbents are also highly sustainable as they can be regenerated multiple times to be reused. Therefore, the high adsorption capacity and good regeneration potential allow polymeric adsorbents to serve as promising and sustainable adsorbents to remove fluoride from industrial wastewater.
Activating Sustainable Building Technology’s Role in Contemporary Housing Design Strategies for Low-Income People after COVID19 Pandemic
Authors: Mohamed Abeer Samy Yousef 
Published: December 2021

Abstract
In the developing world, practical steps are taken to provide adequate, sustainable housing, especially for low-income people within technological age capabilities in construction by searching for new techniques of building technology to meet that goal. In the Arab countries, contemporary housing design is particularly effective because it is the primary unit of the contemporary urban fabric and the basic cell that constitutes most of the city’s area. So the following research questions are discussed in this study: What are the challenges facing contemporary sustainable housing design in specific affordable housing for the lower-income groups? What is the potential for sustainable building technology to meet that goal considering the social and economic dimension of the COVID 19 pandemic? What are the ambitions that they set out to achieve in that house? To emphasize the essential role of sustainable building technology and techniques in acquiring and implementing different goals and actual needs of all strata of society.
Research on friction and wear characteristics based on different texture angles of milling topography
Authors: Zhang Lei , Zheng Minli , Zhang Wei , Li Kangning 
Published: December 2021

Abstract
In the field of mold manufacturing, the wear resistance of the mold is a key factor affecting the life of the mold. In order to extend the life of the mold, most scholars have invested a lot of research on the surface texture of the mold. This article mainly analyzes the influence of the texture angle of different milling topography on the wear resistance of the mold. First, we studied the formation process of the milling topography, and distinguished the quadrilateral pit topography and the hexagonal pit topography by defining the texture angle. Secondly, we carried out a wear simulation analysis on the slider with a texture angle, and studied the influence of different topography on the wear depth and stress distribution. Finally, with the help of friction and wear experiments, the wear amount of the slider with different texture angles is tested, and the relationship between the texture angle, the wear quality and the friction coefficient is analyzed. The conclusions obtained provide an effective reference for industrial designers to prepare wear-resistant molds.
Superconductivity in the two-dimensional nonbenzenoid biphenylene sheet with Dirac cone
Authors: Ge Yanfeng , Wang Zhicui , Wang Xing , Wan Wenhui , Liu Yong 
Published: December 2021

Abstract
During the past decade, two-dimensional materials have attracted much attention in superconductivity due to their feasible physical properties and easy chemical modifications. Herein, we use a recently literature reported novel biphenylene sheet (BP sheet) for investigating superconductivity-related physical properties. The electronic states of BP sheet that appeared near the Fermi level are composed of p
z
orbital of carbon due to sp2 hybridization. Also, an anisotropic Dirac cone is formed just above the Fermi level by crossing two bands comprised of different carbon atoms. One of the two bands is quasi-flat thus leading to a peak of electronic density of states above the Fermi level. In addition, the rotational-vibration phonon mode of the six-membered carbon ring is strongly coupled with electrons. The electron-phonon coupling induces the superconductivity of 6.2 K in BP sheet. Furthermore, both small uniaxial strains and electronic doping can take the Dirac cone and high electronic density of state close to the Fermi level and further raise the superconducting critical temperature to 27.4 K and 21.5 K, respectively. The obtained result suggests that BP sheet with Dirac fermions and superconductivity can be a potential material for the development of future superconducting devices.
Alterations of tibialis anterior muscle activation pattern in subjects with type 2 diabetes and diabetic peripheral neuropathy
Authors: Favretto M A , Cossul S , Andreis F. R. , Nakamura L R. , Ronsoni M F , Tesfaye S. , Selvarajah D , Marques J L B 
Published: December 2021

Abstract
Diabetic peripheral neuropathy (DPN) is associated with loss of motor units (MUs), which can cause changes in the activation pattern of muscle fibres. This study investigated the pattern of muscle activation using high-density surface electromyography (HD-sEMG) signals from subjects with type 2 diabetes mellitus (T2DM) and DPN. Thirty-five adults participated in the study: 12 healthy subjects (HV), 12 patients with T2DM without DPN (No-DPN) and 11 patients with T2DM with DPN (DPN). HD-sEMG signals were recorded in the tibialis anterior muscle during an isometric contraction of ankle dorsiflexion at 50% of the maximum voluntary isometric contraction (MVIC) during 30-s. The calculated HD-sEMG signals parameters were the normalised root mean square (RMS), normalised median frequency (MDF), coefficient of variation (CoV) and modified entropy (ME). The RMS increased significantly (p = 0.001) with time only for the DPN group, while the MDF decreased significantly (p < 0.01) with time for the three groups. Moreover, the ME was significantly lower (p = 0.005), and CoV was significantly higher (p = 0.003) for the DPN group than the HV group. Using HD-sEMG, we have demonstrated a reduction in the number of MU recruited by individuals with DPN. This study provides proof of concept for the clinical utility of this technique for identifying neuromuscular impairment caused by DPN.
Can field botany be effectively taught as a distance course? Experiences and reflections from the COVID-19 pandemic
Authors: Auffret Alistair G , Ekholm Adam , Hämäläinen Aino , Jonsell Mats , Lehto Carl , Nordkvist Michelle , Öckinger Erik , Torstensson Peter , Viketoft Maria , Thor Göran 
Published: December 2021

Abstract
The COVID-19 pandemic that started in 2020 forced a rapid change in university teaching, with large numbers of courses switching to distance learning with very little time for preparation. Courses involving many practical elements and field excursions required particular care if students were to fulfil planned learning outcomes. Here, we present our experiences in teaching field botany in 2020 and 2021. Using a range of methods and tools to introduce students to the subject, promote self-learning and reflection and give rapid and regular feedback, we were able to produce a course that allowed students to achieve the intended learning outcomes and that obtained similarly positive student evaluations to previous years. The course and its outcomes were further improved in 2021. We describe how we structured field botany as a distance course in order that we could give the best possible learning experience for the students. Finally, we reflect on how digital tools can aid teaching such subjects in the future, in a world where public knowledge of natural history is declining.
DeepSVP: integration of genotype and phenotype for structural variant prioritization using deep learning
Authors: Althagafi Azza , Alsubaie Lamia , Kathiresan Nagarajan , Mineta Katsuhiko , Aloraini Taghrid , Al Mutairi Fuad , Alfadhel Majid , Gojobori Takashi , Alfares Ahmad , Hoehndorf Robert 
Published: December 2021

AbstractMotivationStructural genomic variants account for much of human variability and are involved in several diseases. Structural variants are complex and may affect coding regions of multiple genes, or affect the functions of genomic regions in different ways from single nucleotide variants. Interpreting the phenotypic consequences of structural variants relies on information about gene functions, haploinsufficiency or triplosensitivity and other genomic features. Phenotype-based methods to identifying variants that are involved in genetic diseases combine molecular features with prior knowledge about the phenotypic consequences of altering gene functions. While phenotype-based methods have been applied successfully to single nucleotide variants as well as short insertions and deletions, the complexity of structural variants makes it more challenging to link them to phenotypes. Furthermore, structural variants can affect a large number of coding regions, and phenotype information may not be available for all of them.ResultsWe developed DeepSVP, a computational method to prioritize structural variants involved in genetic diseases by combining genomic and gene functions information. We incorporate phenotypes linked to genes, functions of gene products, gene expression in individual cell types and anatomical sites of expression, and systematically relate them to their phenotypic consequences through ontologies and machine learning. DeepSVP significantly improves the success rate of finding causative variants in several benchmarks and can identify novel pathogenic structural variants in consanguineous families.Availability and implementationhttps://github.com/bio-ontology-research-group/DeepSVP.Supplementary informationSupplementary data are available at Bioinformatics online.
A candidate neuroimaging biomarker for detection of neurotransmission-related functional alterations and prediction of pharmacological analgesic response in chronic pain
Authors: Martins Daniel , Veronese Mattia , Turkheimer Federico E. , Howard Matthew A. , Williams Steve C. R. , Dipasquale Ottavia 
Published: December 2021

AbstractChronic pain is a world-wide clinical challenge. Response to analgesic treatment is limited and difficult to predict. Functional MRI has been suggested as a potential solution. However, while most analgesics target specific neurotransmission pathways, functional MRI-based biomarkers are not specific for any neurotransmitter system, limiting our understanding of how they might contribute to predict treatment response. Here, we sought to bridge this gap by applying Receptor-Enriched Analysis of Functional Connectivity by Targets to investigate whether neurotransmission-enriched functional connectivity mapping can provide insights into the brain mechanisms underlying chronic pain and inter-individual differences in analgesic response after a placebo or duloxetine. We performed secondary analyses of two openly available resting-state functional MRI data sets of 56 patients with chronic knee osteoarthritis pain who underwent pre-treatment brain scans in two clinical trials. Study 1 (n = 17) was a 2-week single-blinded placebo pill trial. Study 2 (n = 39) was a 3-month double-blinded randomized trial comparing placebo to duloxetine, a dual serotonin–noradrenaline reuptake inhibitor. Across two independent studies, we found that patients with chronic pain present alterations in the functional circuit related to the serotonin transporter, when compared with age-matched healthy controls. Placebo responders in Study 1 presented with higher pre-treatment functional connectivity enriched by the dopamine transporter compared to non-responders. Duloxetine responders presented with higher pre-treatment functional connectivity enriched by the serotonin and noradrenaline transporters when compared with non-responders. Neurotransmission-enriched functional connectivity mapping might hold promise as a new mechanistic-informed biomarker for functional brain alterations and prediction of response to pharmacological analgesia in chronic pain.
Monitoring of lithium-ion cells using a microcontroller
Authors: Pratap Singh Gaurav , Lehri Yash , Bhatia Lakshay , Sehgal Yogesh 
Published: December 2021

Abstract
Safe and efficient operation of batteries is always desired but batteries with a high energy density pose a threat to the system causing thermal breakdown, reduced performance and rapid ageing. To reduce such vulnerabilities, an optimum environment with controlled parameters is required. Four parameters have been considered for analysis, i.e. state of charge, current, voltage and temperature. The module makes a detailed analysis of the above-mentioned parameters and suggests a microcontroller-based prototype that is capable of monitoring the external factors in real time and generating relevant warnings.