bluuebunny/crossref_metadata_2025 huggingface dataset:
Lipid Nanoparticulate Drug Delivery Systems: Recent Advances in the Treatment of Skin Disorders
Authors: Stefanov Stefan R. , Andonova Velichka Y.
Published: October 2021

The multifunctional role of the human skin is well known. It acts as a sensory and immune organ that protects the human body from harmful environmental impacts such as chemical, mechanical, and physical threats, reduces UV radiation effects, prevents moisture loss, and helps thermoregulation. In this regard, skin disorders related to skin integrity require adequate treatment. Lipid nanoparticles (LN) are recognized as promising drug delivery systems (DDS) in treating skin disorders. Solid lipid nanoparticles (SLN) together with nanostructured lipid carriers (NLC) exhibit excellent tolerability as these are produced from physiological and biodegradable lipids. Moreover, LN applied to the skin can improve stability, drug targeting, occlusion, penetration enhancement, and increased skin hydration compared with other drug nanocarriers. Furthermore, the features of LN can be enhanced by inclusion in suitable bases such as creams, ointments, gels (i.e., hydrogel, emulgel, bigel), lotions, etc. This review focuses on recent developments in lipid nanoparticle systems and their application to treating skin diseases. We point out and consider the reasons for their creation, pay attention to their advantages and disadvantages, list the main production techniques for obtaining them, and examine the place assigned to them in solving the problems caused by skin disorders.
San Josecito Cave and Its Paleoecological Contributions for Quaternary Studies in Mexico
Authors: Arroyo-Cabrales Joaquin , Johnson Eileen , Cruz J. Alberto
Published: October 2021

San Josecito Cave (2250 m elevation) is located nearby Aramberri, Nuevo León, northeastern Mexico, with excavations occurring in 1935–1941 and 1990. It is a paleontological cave and the significance of its faunal data rests in the understanding of the Quaternary ecosystems of the Mexican Plateau and the Southern Plains. This significance is underpinned by a consideration of associated stratigraphic and geochronological data. The fauna is composed of mollusks, amphibians, reptiles, birds, and mammals. More than 30 extinct vertebrate species have been identified, constituting one of the most important Quaternary localities in the Americas. Radiocarbon dates and faunal correlations indicate the excavated deposits represent an interval of time between 45,000 and 11,000 14C years BP. The current synthesis demonstrates that the previous view of the assemblage as a single local fauna is erroneous and that, instead, several successive local faunas are present within a stratigraphic framework. This finding underscores the need for detailed studies of single localities in building paleoenvironmental models. As a corollary, results point to the necessity of including all vertebrate classes represented from a locality in building those models. In addition, the field and analytical methodologies demonstrate the importance of very detailed paleontological excavations, with precise spatial and temporal controls, to assess the taphonomic history of a locality, construct a stratigraphic and geochronological framework, and infer the paleoecological conditions during the time span considered based on the number of local faunas represented. The recognition of San Josecito Cave as an important Late Pleistocene vertebrate paleontological locality is enhanced with the consideration of its faunal data for paleoenvironment reconstruction and possible contribution to Quaternary paleoclimatic modeling.
Hourly Origin–Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning
Authors: Afandizadeh Zargari Shahriar , Memarnejad Amirmasoud , Mirzahossein Hamid
Published: October 2021

Predicting the travel demand plays an indispensable role in urban transportation planning. Data collection methods for estimating the origin–destination (OD) demand matrix are being extensively shifted from traditional survey techniques to the pre-collected data from intelligent transportation systems (ITSs). This shift is partly due to the high cost of conducting traditional surveys and partly due to the diversity of scattered data produced by ITSs and the opportunity to derive extra benefits out of this big data. This study attempts to predict the OD matrix of Tehran metropolis using a set of ITS data, including the data extracted from automatic number plate recognition (ANPR) cameras, smart fare cards, loop detectors at intersections, global positioning systems (GPS) of navigation software, socio-economic and demographic characteristics as well as land-use features of zones. For this purpose, five models based on machine learning (ML) techniques are developed for training and test. In evaluating the performance of the models, the statistical methods show that the convolutional neural network (CNN) leads to the best performance in terms of accuracy in predicting the OD matrix and has the lowest error in terms of root mean square error (RMSE) and mean absolute percentage error (MAPE). Moreover, the predicted OD matrix was structurally compared with the ground truth matrix, and the CNN model also shows the highest structural similarity with the ground truth OD matrix in the presented case.
Ensemble Models of Cutting-Edge Deep Neural Networks for Blood Glucose Prediction in Patients with Diabetes
Authors: Tena Félix , Garnica Oscar , Lanchares Juan , Hidalgo Jose Ignacio
Published: October 2021

This article proposes two ensemble neural network-based models for blood glucose prediction at three different prediction horizons—30, 60, and 120 min—and compares their performance with ten recently proposed neural networks. The twelve models’ performances are evaluated under the same OhioT1DM Dataset, preprocessing workflow, and tools at the three prediction horizons using the most common metrics in blood glucose prediction, and we rank the best-performing ones using three methods devised for the statistical comparison of the performance of multiple algorithms: scmamp, model confidence set, and superior predictive ability. Our analysis provides a comparison of the state-of-the-art neural networks for blood glucose prediction, estimating the model’s error, highlighting those with the highest probability of being the best predictors, and providing a guide for their use in clinical practice.
Evaluation of a Concrete Slab Track with Debonding at the Interface between Track Concrete Layer and Hydraulically Stabilized Base Course Using Multi-Channel Impact-Echo Testing
Authors: Lee Jin-Wook , Lee Sung-Jin , Kee Seong-Hoon
Published: October 2021

Multi-channel Impact-echo (IE) testing was used to evaluate debonding defects at the interface between track concrete layer, TCL, and hydraulically stabilized base course, HSB, in a real scale mockup model of concrete slab tracks for Korea high-speed railway (KHSR) system. The mockup model includes three debonding defects that were fabricated by inserting three 400 mm by 400 mm (length and width) thin plastic foam boards with three different thicknesses of 5 mm, 10 mm, and 15 mm, before casting concrete in TCL. Multi-channel IE signals obtained over solid concrete and debonding defects were reduced to three critical IE testing parameters (the velocity of concrete, peak frequency, and Q factor). Bilinear classification models were used to evaluate the individual and a combination of the characteristic parameters. It was demonstrated that the best evaluation performance was obtained by using average peak frequency or the combination of average peak frequency and average Q factor, obtained by eight accelerometers in the multi-channel IE device. The results and discussion in this study would improve the understanding of characteristics of multiple IE testing parameters in concrete slab tracks and provide a fundamental basis to develop an effective prediction model of non-destructive evaluation for debonding defects at the interface between TCL and HSB in concrete slab tracks.
Synchronized Data Collection for Human Group Recognition
Authors: Zhu Weiping , Xu Lin , Tang Yijie , Xie Rong
Published: October 2021

It is commonplace for people to perform various kinds of activities in groups. The recognition of human groups is of importance in many applications including crowd evacuation, teamwork coordination, and advertising. Existing group recognition approaches require snapshots of human trajectories, which is often impossible in the reality due to different data collection start time and frequency, and the inherent time deviations of devices. This study proposes an approach to synchronize the data of people for group recognition. All people’s trajectory data are aligned by using data interpolating. The optimal interpolating points are computed based on our proposed error function. Moreover, the time deviations among devices are estimated and eliminated by message passing. A real-life data set is used to validate the effectiveness of the proposed approach. The results show that 97.7% accuracy of group recognition can be achieved. The approach proposed to deal with time deviations was also proven to lead to better performance compared to that of the existing approaches.
An Alignment Method Based on KF-ASMUKF Hybrid Filtering for Ship’s SINS under Mooring Conditions
Authors: Yao Pengchao , Yang Gongliu , Peng Xiafu
Published: October 2021

To solve the problem that the ship’s strapdown inertial navigation system (SINS) alignment accuracy decreases with the increase of the nonlinear filtering state dimension under mooring conditions, a method based on Kalman filter (KF) and Adaptive scale mini-skewness single line sampling Unscented Kalman Filter (ASMUKF) hybrid filtering algorithm is proposed in this paper. Three improvements are made as the following: (1) adopt a new sampling strategy. To obtain the ASMUKF filtering algorithm, scale mini-skewness single line sampling is used to replaced the traditional symmetrical sampling method and an adaptive scale factor is adapted into the Unscented Kalman Filter (UKF) to correct the real-time transformation sampling process; (2) the improved ASMUKF algorithm is combined with KF to form KF-ASMUKF hybrid filtering model; (3) the hybrid filtering model is divided into linear and nonlinear parts. The linear filtering part adopts the KF filtering model and the nonlinear filtering part adopts the ASMUKF model. Then, the calculation steps of the hybrid filtering algorithm is designed in this paper. The simulation and experimental results show that the hybrid filtering algorithm proposed has certain advantages over the traditional algorithm, and it can reduce the ship’s SINS calculation amount and improve alignment accuracy under mooring conditions.
Reliable Control Applications with Wireless Communication Technologies: Application to Robotic Systems
Authors: Calvo Isidro , Villar Eneko , Napole Cristian , Fernández Aitor , Barambones Oscar , Gil-García José Miguel
Published: October 2021

The nature of wireless propagation may reduce the QoS of the applications, such that some packages can be delayed or lost. For this reason, the design of wireless control applications must be faced in a holistic way to avoid degrading the performance of the control algorithms. This paper is aimed at improving the reliability of wireless control applications in the event of communication degradation or temporary loss at the wireless links. Two controller levels are used: sophisticated algorithms providing better performance are executed in a central node, whereas local independent controllers, implemented as back-up controllers, are executed next to the process in case of QoS degradation. This work presents a reliable strategy for switching between central and local controllers avoiding that plants may become uncontrolled. For validation purposes, the presented approach was used to control a planar robot. A Fuzzy Logic control algorithm was implemented as a main controller at a high performance computing platform. A back-up controller was implemented on an edge device. This approach avoids the robot becoming uncontrolled in case of communication failure. Although a planar robot was chosen in this work, the presented approach may be extended to other processes. XBee 900 MHz communication technology was selected for control tasks, leaving the 2.4 GHz band for integration with cloud services. Several experiments are presented to analyze the behavior of the control application under different circumstances. The results proved that our approach allows the use of wireless communications, even in critical control applications.
Weather Sensing in an Urban Environment with the Use of a UAV and WebRTC-Based Platform: A Pilot Study
Authors: Chodorek Agnieszka , Chodorek Robert Ryszard , Yastrebov Alexander
Published: October 2021

Thanks to IoT, Internet access, and low-cost sensors, it has become possible to increase the number of weather measuring points; hence, the density of the deployment of sources that provide weather data for the needs of large recipients, for example, weather web services or smart city management systems, has also increased. This paper presents a flying weather station that carries out measurements of two weather factors that are typically included in weather stations (ambient temperature and relative humidity), an often included weather factor (atmospheric pressure), and a rarely included one (ultraviolet index). In our solution, the measurements are supplemented with a visual observation of present weather phenomena. The flying weather station is built on a UAV and WebRTC-based universal platform proposed in our previous paper. The complete, fully operational flying weather station was evaluated in field studies. Experiments were conducted during a 6-month period on days having noticeably different weather conditions. Results show that weather data coming from the flying weather station were equal (with a good approximation) to weather data obtained from the reference weather station. When compared to the weather stations described in the literature (both stationary weather stations and mobile ones), the proposed solution achieved better accuracy than the other weather stations based on low-cost sensors.
Effect of Obesity on Knee and Ankle Biomechanics during Walking
Authors: Capodaglio Paolo , Gobbi Michele , Donno Lucia , Fumagalli Andrea , Buratto Camillo , Galli Manuela , Cimolin Veronica
Published: October 2021

The purpose of this retrospective study was to quantify the three-dimensional knee and ankle joint kinematics and kinetics during walking in young participants with different degrees of obesity and to identify the associated effects by stratifying the obese participants according to their BMI. Thirty-two young obese individuals (mean age 30.32 years) and 16 normal-weight age-matched individuals were tested using 3D gait analysis. Analysis of kinematic and kinetic data revealed significant differences in mechanics at knee and ankle joints in all the evaluated planes of movement. Compared to the healthy-weight participants, obese adults demonstrated less knee flexion, greater knee ab-adduction angle during the entire gait cycle and abnormalities at the knee flex-extension moment. At the ankle joint, reduced range of motion was observed together with a lower peak of ankle plantarflexor moment and power during terminal stance. These results provide insight into a potential pathway by which obesity predisposes a healthy adult for increased risk of osteoarthritis.
Enrichment and Fractionation of Rare Earth Elements in an Estuarine Marsh Soil Receiving Acid Discharges from Legacy Sulfide Mine Wastes
Authors: Fernández-Caliani Juan Carlos , Grantcharova Mihaela Mihaylova
Published: October 2021

This paper provides new insights into the geochemical cycling of rare earth elements (REEs) in acid sulfate soils developed on salt marsh sediments of the Huelva estuary (Spain) as a result of sulfide mineral oxidation in abandoned ore stockpiles. The study was aimed at determining the REE abundance, fractionation pattern and mineralogical control of the dispersal and retention of REEs in the soil system. Forty-one samples were collected at 13 core sampling sites along two transects extending across the degraded marshland, and they were subjected to XRD, ESEM-EDS and ICP-MS analyses. Measurements revealed that the soil receiving acid discharges has relatively high concentrations of ΣREEs (174.77 ± 19.77 mg kg−1) compared to local baseline concentrations. Shale-normalized REE patterns are generally flat, but a slight middle REE (MREE) enrichment is consistently apparent in all soil samples, involving relatively low LaN/GdN ratios (0.83 ± 0.08) and GdN/LuN ratios up to 1.42. The convex-upward REE pattern supports the possibility that iron oxy-hydroxide minerals play an important role in MREE retention through adsorption and co-precipitation mechanisms. Efflorescent sulfate salts left on the topsoil by the evaporation of acid waters show a strong depletion of light REEs (LaN/GdN = 0.16 ± 0.10) and act as a temporary reservoir of labile MREEs and heavy REEs during dry periods.
Exergy-Based Life Cycle Assessment Model for Evaluating the Environmental Impact of Bridge: Principle and Case Study
Authors: Ma Mingjun , Li Ziqiao , Xue Kai , Liu Meng
Published: October 2021

The construction of bridge is a complex process and involves diverse energy emission-intensive materials. The evaluation of environmental impacts on the basis of life cycle assessment (LCA) is a recognised technique to find the scope of impact mitigation and save resources. However, the studies on the LCA of bridges are rare and lack assessment on the impact of public transportation during bridge construction. The purpose of this study was to develop an integrated exergy-based LCA model for assessing the environmental sustainability of bridges by investigating their environmental impacts and exergy footprint. The proposed exergy-based LCA model consists of three principal assessment models, namely, the environmental impact of energy consumption, pollutant discharge, and resource consumption. The proposed model was then exemplified with a highway bridge as a case study. The results found that the environmental impact in the raw material production and processing stage was the largest, followed by the construction stage and the operation and maintenance stage at second and third place, respectively. The findings of this study can contribute to mitigating the environmental impacts of bridge construction, and the assessment approach can be adopted to guide the environmental impact evaluation for other types of civil constructions globally.
Understanding the Market for Eco Self-Build Community Housing
Authors: Newberry Pablo , Harper Paul , Morgan Thea
Published: October 2021

This paper evaluates the potential of eco self-build community (ESBC) housing to act as a socially and environmentally sustainable housing solution that can address the demand for self-build and community housing whilst supporting the UK’s 2050 net-zero-carbon commitment. This model of housing is being piloted through schemes such as the Water Lilies project, an upcoming ESBC scheme providing self-finish houses and custom-build flats. The research aims to gain a broad understanding of the market for ESBC housing by analysing the data from people who registered interest in a plot or home and comparing this with data from a similar survey targeted at the market for conventional self-build and custom-build housing. The key findings are that: (1) the ESBC housing market is largely open to more than one build method, but with a greater preference for purchasing a completed home and self-finish than self-build, compared to the conventional market for self-build and custom-build that is primarily interested in self-build; (2) the ESBC housing market is looking for a variety of home sizes, though predominantly 2 and 3 bedrooms, that could be provided through houses and flats, compared to the conventional market for self-build and custom-build that is mostly seeking larger houses on single plots; (3) the most important housing aspects to the ESBC housing market are ‘green lifestyle’, ‘style and construction quality’, and ‘community spirit’, which differ to the conventional self-build and custom-build market, where they are ‘construction quality’, ‘internal appearance/layout’ and ‘location’; (4) living in a sustainable home is important to the market for conventional self-build and custom-build housing and on average, they would be willing to pay 27% more for a highly sustainable home than the average UK new build. The main drivers are that people want to reduce their environmental impact and reduce their home running costs. A key overall conclusion of the study is that a distinct market exists for ESBC schemes, where the priorities of prospective homeowners differ to those from the more general self-build market. For ESBC schemes, the provision of eco-housing and a sense of community are key priorities, whereas for the more general self-build market, location and the need to tailor the house design to the owner’s unique aesthetic and lifestyle preferences tend to be the most important factors. This paper discusses the implications of these findings and identifies opportunities for scaling up the delivery of ESBC housing.
Application of Glass in Subsurface Pavement Layers: A Comprehensive Review
Authors: Perera Salpadoru Tholkamudalige Anupiya. M. , Zhu Jiasheng , Saberian Mohammad , Liu Manlin , Cameron Donald , Maqsood Tariq , Li Jie
Published: October 2021

Glass-based goods are produced and consumed in relative abundance, making glass a material that is found in most households, thereby leading to its accumulation in alarming quantities throughout the globe and posing an environmental challenge. This being said, glass has been widely acknowledged to possess a variety of desirable physiochemical properties, making it suitable for utilisation as an engineering aggregate. The properties include its non-biodegradable nature, resistance to chemical attack, low water absorption, hydraulic conductivity, temperature-dependent ductility, alterable particle gradation, and its availability in a multitude of forms/chemical compositions. Owing to these properties, glass has been employed in a myriad of civil engineering studies and field trials to assess its efficacy as an engineering aggregate and to provide sustainable management schemes for waste glass. These studies/trials have incorporated glass in many forms, including fine recycled glass (FRG), medium recycled glass (MRG), coarse recycled glass (CRG), glass powder, glass fibres, foamed glass, and glass-based geopolymers. Although the beneficial properties of glass can be exploited in numerous engineering endeavours, this review paper focuses on the possible application of glass to subsurface layers of pavements. In turn, the current study centres on research studies/trials presenting results on the physicochemical, mechanical, and durability aspects of pavement layers (base, subbase, and subgrade) containing pure glass samples or glass as percentage replacements in materials, including but not limited to unbound granular materials (i.e., recycled concrete aggregate (RCA) and crushed rock (CR)) and clay soils. Through the knowledge compiled in this review article, it is reasonable to state that glass shows solid potential as a road pavement material.
Digital Transformation and Convergence toward the 2030 Agenda’s Sustainability Development Goals: Evidence from Italian Listed Firms
Authors: Camodeca Renato , Almici Alex
Published: October 2021

The United Nations 2030 Agenda has emphasized the potential of digital technology to enhance sustainability performance, assuming that digital transformation can enable firms’ convergence toward the Sustainable Development Goals. Despite this, the literature is unclear regarding whether there is a positive relationship between digitalization and sustainability, as the effects of digital transformation are controversial. The main goal of this study was to assess the hypothesis that digital technology contributes to the achievement of Sustainable Development Goals within the UN 2030 Agenda. To test this hypothesis, a textual analysis was performed to assess Italian firms’ digitalization efforts; the obtained results were then related to the selected firms’ ESG scores using a regression analysis. The analysis focused on Italian FTSE MIB listed firms for the period 2016–2019. The findings show a positive relation between digitalization and Sustainable Development Goals, highlighting the relevance of digital technology in implementing the sustainability agenda.
Suburban Residents’ Preferences for Livable Residential Area in Finland
Authors: Karjalainen Markku , Ilgın Hüseyin Emre , Metsäranta Lauri , Norvasuo Markku
Published: October 2021

This paper analyzed Finnish suburban residents’ preferences (including their perception of wood as a building material) for livable residential areas through a survey questionnaire. The 243 responses received highlighted the following: residents were generally satisfied with the general condition of their residence; the majority supported life in one- to two-story buildings and a low-density residential environment; living in the center was found more attractive by most; the most popular facade material was wood; considerations regarding the immediate environment, e.g., proximity to nature and child-friendly areas in the immediate vicinity, were evaluated as important parameters; participants’ attitudes towards the use of wood in construction were generally very positive; residents generally considered wooden buildings more beautiful, more environmentally friendly/ecological, and as having a healthier indoor climate than buildings made of non-wood materials; and fire safety and cost-competitiveness were issues of skepticism. It is believed that this study will provide insights to key stakeholders, e.g., architects, developers, policymakers, to better meet the needs of suburban apartment-dwellers.
Sine Entropy of Uncertain Random Variables
Authors: Shi Gang , Zhuang Rujun , Sheng Yuhong
Published: October 2021

Entropy is usually used to measure the uncertainty of uncertain random variables. It has been defined by logarithmic entropy with chance theory. However, this logarithmic entropy sometimes fails to measure the uncertainty of some uncertain random variables. In order to solve this problem, this paper proposes two types of entropy for uncertain random variables: sine entropy and partial sine entropy, and studies some of their properties. Some important properties of sine entropy and partial sine entropy, such as translation invariance and positive linearity, are obtained. In addition, the calculation formulas of sine entropy and partial sine entropy of uncertain random variables are given.
Molecular, Supramolecular Structures Combined with Hirshfeld and DFT Studies of Centrosymmetric M(II)-azido {M=Ni(II), Fe(II) or Zn(II)} Complexes of 4-Benzoylpyridine
Authors: Abu-Youssef Morsy A. M. , Langer Vratislav , Barakat Assem , Haukka Matti , Soliman Saied M.
Published: October 2021

The supramolecular structures of the three metal (II) azido complexes [Fe(4bzpy)4(N3)2]; 1, [Ni(4bzpy)4(N3)2]; 2 and [Zn(4bzpy)2(N3)2]n; 3 with 4-benzoylpyridine (4bzpy) were presented. All complexes contain hexa-coordinated divalent metal ions with a slightly distorted octahedral MN6 coordination sphere. Complexes 1 and 2 are monomeric with terminal azido groups while 3 is one-dimensional coordination polymer containing azido groups with μ(1,1) and μ(1,3) bridging modes of bonding. Hirshfeld analysis was used to quantitatively determine the different contacts affecting the molecular packing in the studied complexes. The most common interactions are the polar O…H and N…H interactions and the hydrophobic C…H contacts. The charges at the M(II) sites are calculated to be 1.004, 0.847, and 1.147 e for complexes 1–3, respectively. The degree of asymmetry is the highest in the case of the terminal azide in complexes 1 and 2 while was found the lowest in the μ(1,1) and μ(1,3) azide bonding modes in the Zn(II) complex 3. These facts were further explained in terms of atoms in molecules (AIM) topological parameters.
Do Water Bodies Show Better Ecological Status in Natura 2000 Protected Areas Than Non-Protected Ones?—The Case of Greece
Authors: Stefanidis Konstantinos , Oikonomou Anthi , Stoumboudi Maria , Dimitriou Elias , Skoulikidis Nikolaos
Published: October 2021

Regardless of the efforts of the European Union, freshwaters are in a state of environmental crisis. The Water Framework Directive has established a basis for the protection and restoration of European inland and coastal waters. In parallel, the Birds and Habitats Directives protect, maintain or restore, at favourable conservation status, selected species and habitats under a representative network of protected areas. Hence, the interplay between the EU regulations is of high scientific interest and practical relevance. In this article, Greece is used as a case study to explore whether anticipated synergies between the Water Framework Directive and the Nature Directives result in a better ecological status in the protected areas than in the non-protected ones. We investigated whether the ecological qualities that are defined by three biological quality elements (BQEs) differ between the WFD monitoring sites that are located within the Natura 2000 protected areas and those that are not. We identified a total of 148 river monitoring sites that are located within the Natura 2000 network, which corresponds to 30% of the WFD monitoring network. By employing ordered logit models for each BQE, we found that the ecological quality has the same likelihood to fail the WFD target of “good” quality for sites that are located within and outside the Natura 2000 protected areas. Our results confirmed our hypothesis that the EU directives have little synergy when it comes to restoration of ecological status of Greek running waters, according to the WFD.
An Adaptive Adjustment Method of Equivalent Factor Considering Speed Predict Information
Authors: Zhang Bingzhan , Meng Qinglong , Wu Juncheng , Ni Yaoyao
Published: October 2021

Although the energy management strategies at present have achieved a good effect, they still have their limitations, so there is still room for further improvement to improve the fuel economy of hybrid electric vehicles (HEV). This paper proposes an adaptive equivalent consumption minimization strategy (ECMS) based on speed prediction, which can distribute power more reasonably and improve the power balance and fuel economy. The driving speed reflects the operation of the road and driver during the driving process. Under the motor assisted energy management control strategy, knowing all working condition information in advance can improve the battery power use planning to a certain extent and reduce the fuel consumption during the whole driving process by adjusting parameters. In this paper, a novel adaptive adjustment method for the equivalent factor (EF) of the ECMS based on future information is proposed. In this paper, a novel speed-prediction method combined with wavelet packet transformation (WPT) and a radial basis function neural network (RBF-NN) is proposed to realize accurate vehicle speed prediction. Then, the optimal equivalent factor under the state of charge (SOC) constraint is calculated by using the predicted speed. Simulation studies are conducted to verify the effectiveness of the proposed adjustment method for the EF compared to a commonly adjustment method from SOC balance and economic viewpoints.
Subnational Purchasing Power Parities as a Tool for the Interarea Comparison
Authors: Kosarev A. E.
Published: October 2021

The author describes the key characteristics of domestic and foreign experience in the development of conceptual and methodological foundations for the construction of subnational purchasing power parities. The relevance of the topic is explained, in particular, by the fact that subnational purchasing power parities are one of the key tools of the interarea comparison analysis. This causes the expanding attention paid by the national statistical ofces to its compilation and the development of the corresponding methodology. Thus, in July 2021, the World Bank as the Global ICP coordinator published two important guides presenting the international standards for producing purchasing power parities – for developing subnational PPPs and for integrating PPPs and CPI production activities.

The international standards recommend considering the sum of expenditures on fnal consumption and gross fxed capital formation as the aggregated regional indicator in interarea PPP-based comparisons. A narrower indicator – household fnal consumption – can also be used depending on the purposes of further analysis; household budget survey data provide weights in comparing the consumer prices. Producing subnational PPPs is closely linked with assessing the spatial adjustment factors, which can provide an important tool in computing the national PPPs.

Bearing in mind that producing subnational PPPs is a labor-intensive process, which includes all work stages (price data collection and validation, forming the weights system, computations, ensuring a balanced presentation of regions), the international standards suggest focusing on the annual frequency of works.

Integrating the production of subnational PPPs with the CPI calculations system is one of the key factors for ensuring the efciency of the whole work.
Incidentally detected isolated Aspergillus fumigates infection of the renal allograft
Authors: Patel Kajal N. , Patel Nitin A. , Gandhi Shruti P. , Trivedi Hargovind L.
Published: October 2021

Fungal infection represents 5% of the infections of post renal transplant recipients. The frequency of invasive Aspergillus ranges from 0.5% to 2.2% with a mortality rate of 88%. In renal transplantation, Aspergillus infection usually affects primarily the lungs with occasional dissemination and the central nervous system. Involvement of a renal allograft in the isolated form is rare. A-35-year-old male post-renal transplant patient presented in our institute for routine follow up examination. Ultrasound and computed tomography (CT) were conducted in our radiology department, suggestive of abscess formation in mid pole of transplanted kidney. The patient did not have any clinical symptoms. His serum creatinine level was also within normal limit. Diagnosis of Aspergillus fumigates was made by aspiration of pus. Treatment started according to culture and sensitivity report. Ultimately graft nephrectomy was performed to control infection. Aspergillus infection of a renal allograft remains a key issue for nephrologists and infection specialists. For diagnosis of fungal infection, a high index of suspicious is necessary. In the present case, the infected allograft nephrectomy and the elimination of immune-compromised state and the prompt administration of antifungal therapy, made recovery possible. However, early diagnosis remains difficult.
Cholecalciferol therapy; is it the gold standard for vitamin D deficiency and mineral disorders in hemodialysis?
Authors: Jerbi Mouna , Ghabi Hiba , Gaied Hanene , Ben Hmida Fathi , Aoudia Raja , Goucha Rim , Ben Abdallah Taieb
Published: October 2021

Introduction: Vitamin D deficiency is frequently observed among dialysis patients. Previous studies suggested that 50 to 90% of end-stage renal disease patients are deficient in vitamin D. In Tunisia, studies regarding hypovitaminosis D in patients on dialysis are not numerous. Actually, many data support the use of native vitamin D in hemodialysis (HD) patients. In Tunisia, using native vitamin D is not part of therapeutic habits of all dialysis centers. Objectives: The aim of this study was to determine the prevalence of vitamin D deficiency in patients with chronic kidney disease stage 5 undergoing HD and to evaluate the effect of oral cholecalciferol supplementation, in intact parathormone (iPTH), serum calcium and serum phosphorus. Patients and Methods: We conducted a pre-experimental study among HD patients. Monthly oral supplementation with Cholecalciferol, was instituted for six months. Results: Forty-three participants were included. The mean 25-hydroxy vitamin D concentration was 17.89 ng/mL. Vitamin D deficiency was observed in 83.7% of our patients. We observed a significant increase in 25-hydroxy vitamin D and calcium levels and a significant decline in iPTH levels. No evidence of toxicity, nor severe hypercalcemia or hyperphosphatemia was noted. Conclusion: The supplementation with cholecalciferol seems reasonable and well tolerated in HD patients if reasonable doses are used with regular monitoring.
Post-COVID–19 complication and its effect on acute kidney injury
Authors: Singh Baghel Vinit , Shinde Sapnita , Sinha Vibha , Pandey Sanjay Kumar , Dwivedi Sudhakar , Singh Nikita , Tiwari Atul Kumar , Saxena Saurabh , Vishvakarma Naveen Kumar , Shukla Dhananjay , Bhatt Prashant
Published: October 2021

The novel coronavirus outbreak has become a global health emergency. The common symptoms of COVID-19 disease which have affected a large population are common cold, fatigue, headache and fever. However, complications such as multiple organ failure, acute respiratory syndrome and septic shock are seen in about 5% of patients with persisting severe symptoms and post-COVID syndrome. The COVID-19 acute kidney injury in patients displays damage in the kidney, proteinuria, hematuria and elevated serum creatinine. The symptoms of acute kidney injury vary from mild to severe, which necessitates proper clinical management and renal replacement therapy (RRT). Therefore, it is necessary to understand the pathophysiology of acute kidney injury involving infiltrated immune cells, thrombosis, and cytokine regulation. There is no definite treatment for acute kidney injury; the strategy for preventing the complications will only come through clinical experience. Therefore, more studies are needed for the proper understanding of the disease etiology in acute kidney injury patients with COVID-19. New strategies, International collaboration and multi-disciplinary research are needed to be implemented for the proper management.
Vadim А. Kuznetsov (1966-2021)
Authors: Editorial Article
Published: October 2021

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BEHAVIORAL SCENARIOS OF STUDENTS IN THE FORMATION OF THE IMAGE OF THE UNIVERSITY: EXPERIENCE OF NARRATIVE ANALYSIS
Authors: Pichugina T.A. , Dan'shina S.A. , Merzlyakova G.V. , Mikhaleva E.I.
Published: October 2021

The article presents the results of a study aimed at identifying behavioral scenarios of students of the Institute of Social Communications in the narrative about the Udmurt State University. The typology of behavioral scenarios was built using narrative analysis based on the methodological foundations laid down in the works of G. Rosenthal. The research possibilities of the method of narrative analysis in the study of large social groups on a given topic were considered, the parameters of the external and internal image of the Udmurt State University and the Institute of Social Communications were determined, on the basis of narrative essays / individual biographies, idealtypical / behavioral scenarios of students were identified as stable, repeating in a certain sequence ways of categorizing ideas about the image of the university in everyday life.The sample consisted of students (N=378, 25 % - men) Institute of Social Communications of the Udmurt State University (bachelor's degree, full-time education, 2-4 courses) in all areas of study (Advertising and public relations, Tourism, Hotel business, Organization of work with youth, Cultural Studies). The experience of narrative analysis has confirmed the validity of the ideas that in order to conduct narrative and analytical studies of large social groups, it is necessary to collect data with direct reference to the carriers of the corresponding group identity. Based on the identified behavioral scenarios of students, it is possible to assess the image of an educational institution with a forecast of its formation.
cotidiano, o corriqueiro e o efêmero nos contos de Cíntia Moscovich em Essa coisa brilhante que é a chuva
Authors: Menezes Filipe Amaral Rocha de
Published: October 2021

Para Ricardo Piglia o conto encerra duas histórias, uma subjacente a outra. A oculta seria fragmentária e elíptica, e o contista, ao conseguir estruturar tal feito, seria bem-sucedido. Cíntia Moscovich, como habilidosa contista, ao narrar essas histórias corriqueiras em Essa coisa brilhante que é a chuva, de 2012, evidencia a beleza oculta no relato que, aparentemente, pode passar desapercebido. Este artigo pretende demonstrar como a escritora costura tramas subjacentes aos nove contos da coletânea, por meio de surpresas, epifanias, visões, deixando entrever uma linha de tensão e efeito duplo, revelando-os apenas nos finais surpreendentes.
Gato Borges
Authors: Candido Juliano Klevanskis
Published: October 2021

Publicado originalmente em: CANDIDO, Juliano Klevanskis. Novos fármacos & outras histórias. Belo Horizonte: Scriptum, 2019. p. 233-237.
livro da imitação e do esquecimento
Authors: Krausz Luís S.
Published: October 2021

Trecho do romance O livro da imitação e do esquecimento de Luís S. Krausz.
que ela sussurra
Authors: Jaffe Noemi
Published: October 2021

Trecho do romance O que ela sussurra de Noemi Jaffe.
romance inacabado de Sofia Stern
Authors: Wrobel Ronaldo
Published: October 2021

Trecho do romance O romance inacabado de Sofia Stern de Ronaldo Wrobel
visita de D. Pedro II à Terra Santa nos jornais da época, 1876-1891
Authors: Faingold Reuven
Published: October 2021

Em 6 de dezembro de 1876, Sua Majestade D. Pedro II embarcava no navio Áquila Imperial, encerrando uma inesquecível viagem de vinte e quatro dias pela Terra Santa, uma verdadeira peregrinação pelos lugares mais sagrados da cristandade. A saudade, fruto da distância; batia forte e os duzentos membros da comitiva brasileira já pensavam no retorno a seus respectivos lares. Este artigo investiga os relatos da viagem e seu impacto sobre o imperador brasileiro.
Unsur Intrinsik Kumpulan Cerpen Ketika Bismillah Menjadi Alhamdulilah Karya Dalman dkk. Sebagai Bahan Ajar di SMA
Authors: Hesti Hesti , Verlinda Desnia
Published: October 2021

Penelitian ini bertujuan untuk menjabarkan unsur intrinsik pada kumpulan Cerpen Ketika Bismillah menjadi Alhamdulilah karya Dalman, dkk. serta untuk mengetahui apakah cerpen yang dianalisis tersebut dapat dijadikan alternatif bahan ajar pada  SMA  kelas XI Tahun Ajaran 2017/2018. Penelitian ini menggunakan metode kualitatif deskriptif. Sedangkan teknik pengumpulan data yang digunakan adalah observasi, tes, dan menyebarkan angket. Cerpen Antara Cinta dan Cita-cita, Brevet untuk Mak, dan Davina dan Universitas Impian merupakan sumber data yang digunakan dalam penelitian ini. Dari penelitian ini diperoleh hasil; unsur instrinsik dalam cerpen berupa alur, tokoh/penokohan dan latar. Semua unsur tersebut berdasarkan pada silabus Mata Pelajaran Bahasa Indonesia kelas XI semester dua, yakni mengapresiasi atau menganalisis karya sastra cerpen.  Data yang diperoleh, ketiga cerpen ini layak dijadikan alternatif bahan ajar pada siswa SMA. Hal ini mengacu pada teori pemilihan bahan ajar yakni; dari sudut bahasa, latar belakang budaya, dan psikologi. Kata Kunci: Cerpen, bahan ajar sastra, intrinsik.
KORELASI MULTIVARIATE BRAND TRUST DENGAN PURCHASE INTENTION KONSUMEN GREEN TEA DI FOOD COURT GIANT HYPERMART, WARU SIDOARJO
Authors: Poernomo Tri Tjahjo
Published: October 2021

Abstrak Artikel penelitian ini bertujuan untuk mengukur kedekatan hubungan multivariat kepercayaan merek (dimensi viabilitas & dimensi intensionalitas) dengan niat beli. Sampel penelitian terdiri dari 60 partisipan pengkonsumsi minuman green tea di food court, giant hypermart waru melalui pendekatan judgement sample (Cooper & Emory, 2013). Parameter dimensi intensionalitas (x2) memiliki koef.r-partial dominan (13,4%), dibandingkan dengan parameter dimensi viabilitas (x1) yang memiliki koef.r-partial (1%). Model hottelings memiliki kontribusi koef.r-canonical dominan (124,7%) terhadap dua model lainnya (55,49%), (44,50%). Disimpulkan terdapat kepositipan keeratan hubungan yang cukup kuat antara parameter brand trust dan parameter purchase intention (74.4%). Selaras dengan penelitian Fang, Chiu & Wang, (2011) yang mengungkapkan bahwa terdapat hubungan positif antara brand trust dan purchase intention. H1 dan H2 penelitian dapat diterima faktualitasnya
Midwives’ and mothers’ perspectives on skin-to-skin care of premature and low-birthweight infants in Puntland, Somalia
Authors: Osman Fatumo , Egal Mohamed Said , Abdi Ahmed Ali , Mohamud Anisa Abdikarim , Erlandsson Kerstin
Published: October 2021

Background: More than 2.5 million children die yearly due to prematurity and low birthweight. Skin-to-skin care provides a thermal-control environment that offers protection from infection and eases breast milk feeding to the advantage of the new-born.
Aim: This study aimed to explore barriers and facilitating factors for introducing skin-to-skin care of premature and low-birthweight infants based on input from mothers and midwives in Puntland, Somalia.
Methods: Qualitative semi-structured interviews with four mothers and four midwives were analysed using qualitative content analysis.
Results: The findings are presented in four categories: enabled by support and hands-on information to the mother and her family; aided by collaboration with the mother’s family to overcome the mother’s resistance; impeded by limited time, lack of resources and unavailable guidelines; and hindered by traditional and social beliefs. Both mothers and midwives emphasised the importance of information and education concerning skin-to-skin care of premature and low-birthweight infants. Family members and midwives facilitated skin-to-skin contact as the care model. The degree to which the midwives provided information to the mothers and their family members depended on how the two latter groups received and acted on such information and education. Lack of motivation by mothers, their families or midwives were barriers to skin-to-skin contact as a care model.
Conclusion: Standardised guidelines, preferably culturally tailored for low socioeconomic groups, for midwives’ use when informing mothers and families on skin-to-skin contact as a care model for premature and low-birthweight infants would empower women, families and midwives to facilitate the practice in Puntland, Somalia.
La gestión del conocimiento, pasado, presente y futuro. Una revisión de la literatura
Authors: Villasana Arreguín Laura Margarita , Hernández García Patricia , Ramírez Flores Élfego Ramírez Flores
Published: October 2021

Desde sus inicios, la gestión del conocimiento siempre ha sido el campo más interesante para académicos y profesionales, y se observa como una esperanza de mejora dentro de la organización. Uno de los retos de la gestión del conocimiento es gestionarlo desde el proceso de creación, intercambio, combinación y aplicación del conocimiento para aclarar y potenciar el proceso organizacional. Esta investigación tiene como objetivo proporcionar una visión teórica del concepto de gestión del conocimiento, sus orígenes, modelos, aplicaciones, estatus quo y el futuro para resaltar su importancia e impacto en la organización. Al revisar los artículos científicos, el análisis de la literatura se utiliza como método de investigación. Como resultado, se obtuvo el último nivel técnico de gestión del conocimiento terminológico, su modelo de futuro y una síntesis aproximada.