bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluación económica y financiera, y su relación con la rentabilidad de la empresa Multiservicios e Inversiones Kennys S.A.C- Soritor – 2021
Authors: La Torre Tuesta Cristopher Junior , Vallejos Tafur Juan Britman
Published: February 2022

La investigación se ha desarrollado dentro de un contexto de alta competencia, en donde la empresa no solo requiere de contar con un buen producto o servicio, sino con una rentabilidad positiva, a consecuencia de indicadores económicos y financieros positivos. En base a ello, se planteó el siguiente objetivo general: Determinar la relación que existe entre la evaluación económica – financiera sobre la rentabilidad de la empresa Multiservicios e inversiones Kennys SAC- Soritor 2021. La metodología fue de enfoque cuantitativo, con diseño no experimental, recolectando los datos por medio del cuestionario y de la ficha de observación, contando con una muestra conformada por datos financieros del 2020. Los resultados señalaron que, la relación entre la evaluación económica – financiera y la rentabilidad de la empresa fue validada por la determinación del valor de sigma de 0.000, en donde se contó con un valor de correlación de 0.317. Mientras que, se concluyó que, la relación que existe entre la evaluación económica sobre la rentabilidad de la empresa fue validada por la determinación del valor de sigma de 0.000.
Especulación inmobiliaria e identidad agrícola en una comunidad de ascendencia maya
Authors: Díaz Tinoco Itzel Rubi
Published: February 2022

Hablar del ejido en México nos remite a un cúmulo de ideas asociadas a elementos re y post revolucionarios, relacionados en gran medida a la visibilización de actores sociales con poca, o nula participación económica, carente de posibilidades de desarrollo social, así como de maniobras neoliberales de reconfiguración en la propiedad y tenencia de la tierra. Si bien el tema es bastante amplio y estudiado desde diversas ópticas, el presente artículo de corte etnográfico busca abonar al tema desde la antropología política, a manera de entender cómo las relaciones de poder repercuten en los rasgos identitarios de algunas poblaciones con representación indígena a partir de un ejemplo de la especulación inmobiliaria en el estado de Yucatán, México.
ORGANISMOS INTERNACIONAIS E A EDUCAÇÃO PROFISSIONAL E TECNOLÓGICA
Authors: Esteves Thiago De Jesus
Published: February 2022

Este artigo tem como objetivo compreender a atuação dos organismos internacionais e o papel da educação profissional e tecnológica na construção de um consenso em torno de uma concepção neoliberal de educação. O atual processo de recomposição burguesa, observado a partir da década de 1990, atinge todas as esferas da vida social, em especial, as políticas públicas para a formação humana, que assumem caráter estratégico tanto para formação de trabalhadores de novo tipo quanto para conformação ética e moral da sociedade civil frente às novas condições de sociabilidade. Nesse contexto, os organismos internacionais, notadamente o Banco Mundial e a UNESCO, têm atuado no campo educacional para garantir o um novo modelo de gestão pública da educação no país, para a qual a educação profissional e tecnológica tem caráter estratégico. Este artigo é resultado de uma revisão de literatura, baseada no levantamento e análise da legislação pertinente, artigos científicos e documentos publicados pelos organismos internacionais. Concluímos que os organismos internacionais têm atuado ativamente para redefinir as políticas educacionais, por meio da adaptação do campo educacional às necessidades do mercado e da manutenção das condições de acumulação capitalista, para a qual a educação profissional e tecnológica passa a ter papel central.
Possible controls on Arctic clouds by natural aerosols from long-range transport of biogenic emissions and ozone depletion events
Authors: Holzinger Rupert , Eppers Oliver , Adachi Kouji , Bozem Heiko , Hartmann Markus , Herber Andreas , Koike Makoto , Millet Dylan B. , Moteki Nobuhiro , Ohata Sho , Stratmann Frank , Yoshida Atsushi
Published: February 2022

Abstract. During the PAMARCMiP 2018 campaign (March and April 2018) a proton-transfer-reaction mass spectrometer (PTR-MS) was deployed onboard the POLAR 5 research aircraft and sampled the high Arctic atmosphere under Arctic haze conditions. More than 100 compounds exhibited levels above 1 pmol/mol in at least 25 % of the measurements. We used back trajectories and acetone mixing ratios to identify periods with and without long-range transport from continental sources. Air masses with continental influence contained elevated levels of compounds associated with aged biogenic emissions and anthropogenic pollution (e.g., methanol, peroxyacetylnitrate (PAN), acetone, acetic acid, methylethylketone (MEK), proprionic acid, and pentanone). Almost half of all positively detected compounds (> 100) in the High Arctic atmosphere can be associated with terpene oxidation products. This may constitute a signature of biogenic terpenes and their oxidation products on the high Arctic atmosphere. Many of these compounds will condense and produce biogenic secondary organic aerosol (SOA) – a natural source of organic aerosol (OA) in addition to the aerosols that can be associated with pollution. Therefore, we hypothesize that biogenic SOA may have exerted significant control over the complex system of aerosols, clouds and longwave radiation in the pre-industrial Arctic winter, even though their role is likely marginal under contemporary polluted Arctic haze conditions. However, biogenic SOA may become an important factor in the futRure again, if biogenic emissions are enhanced due to climate change and if polluting technologies are phased out in the future. During two flights, surface ozone depletion events (ODE) were observed that coincided with enhanced levels of acetone, and methylethylketone. There is evidence that ODEs may also be associated with the emission of biogenic ice-nucleating particles (INP) because the filter samples taken during these two flights exhibited enhanced levels of highly active INP. Both these processes, INP production in association with ozone depletion events, and the transport of biogenic SOA could require corrections in estimates of Arctic change. If the preindustrial effects from these natural factors was stronger than is thought, subsequent climate changes over the Arctic may be larger than currently assumed.
Characterizing and correcting the warm bias observed in Aircraft Meteorological Data Relay (AMDAR) temperature observations
Authors: de Haan Siebren , de Jong Paul M. A. , van der Meulen Jitze
Published: February 2022

Abstract. Some aircraft temperature observations, retrieved through the Aircraft Meteorological Data Relay (AMDAR), suffer from a significant warm bias when comparing observations with numerical weather prediction (NWP) models. In this paper we show that this warm bias of AMDAR temperature can be characterized and consequently reduced substantially. The characterization of this warm bias is based on the methodology of measuring temperature with a moving sensor and can be split into two separate processes. The first process depends on the flight phase of the aircraft and relates to difference of timing, as it appears that the times of measurement of altitude and temperature differ. When an aircraft is ascending or descending, this will result in a small bias in temperature due to the (on average) presence of an atmospheric temperature lapse rate. The second process is related to internal corrections applied to pressure altitude without feedback to temperature observation measurement. Based on NWP model temperature data, combined with additional information
on Mach number and true airspeed, we were able to estimate corrections
using data over an 18-month period from January 2017 to July 2018. Next, the corrections were applied to AMDAR observations over the period from
September 2018 to mid-December 2019. Comparing these corrected
temperatures with (independent) radiosonde temperature observations
demonstrates a reduction of the temperature bias from 0.5 K to around
zero and a reduction of standard deviation of almost 10 %.
Segmentation-Based Multi-Pixel Cloud Optical Thickness Retrieval Using a Convolutional Neural Network
Authors: Nataraja Vikas , Schmidt Sebastian , Chen Hong , Yamaguchi Takanobu , Kazil Jan , Feingold Graham , Wolf Kevin , Iwabuchi Hironobu
Published: February 2022

Abstract. We introduce a new machine learning approach to retrieve cloud optical thickness (COT) fields from visible passive imagery. In contrast to the heritage Independent Pixel Approximation (IPA), our Convolutional Neural Network (CNN) retrieval takes the spatial context of a pixel into account, and thereby reduces artifacts arising from net horizontal photon transfer, commonly known as independent pixel (IP) bias. The CNN maps radiance fields acquired by imaging radiometers at a single wavelength channel to COT fields. It is trained with a low-complexity and therefore fast U-Net architecture where the mapping is implemented as a segmentation problem with 36 COT classes. As a training data set, we use a single radiance channel (600 nm) generated from a 3D radiative transfer model using Large Eddy Simulations (LES) from the Sulu Sea. We study the CNN model under various conditions based on different permutations of cloud aspect ratio and morphology, and use appropriate cloud morphology metrics to measure the performance of the retrievals. Additionally, we test the general applicability of the CNN on a new geographic location with LES data from the equatorial Atlantic. Results indicate that the CNN is broadly successful in overcoming the IP bias and outperforms IPA retrievals across all morphologies. In the Atlantic, the CNN tends to overestimate the COT but shows promise in regions with high cloud fractions and high optical thicknesses, despite being outside the general training envelope. This work is intended to be used as a baseline for future implementations of the CNN that can enable generalization to different regions, scales, wavelengths, and sun-sensor geometries with limited training.
Improving intelligent dasymetric mapping population density estimates at 30-meter resolution for the conterminous United States by excluding uninhabited areas
Authors: Baynes Jeremy , Neale Anne , Hultgren Torrin
Published: February 2022

Abstract. Population change impacts almost every aspect of global change from land use, to greenhouse gas emissions, to biodiversity conservation, to the spread of disease. Data on spatial patterns of population density help us understand patterns and drivers of human settlement and can help us quantify the exposure we face to natural disasters, pollution, and infectious disease. Human populations are typically recorded by national or regional units that can vary in shape and size. Using these irregularly sized units and ancillary data related to population dynamics, we can produce high resolution, gridded estimates of population density through intelligent dasymetric mapping (IDM). The gridded population density provides a more detailed estimate of how the population is distributed within larger units. Furthermore, we can refine our estimates of population density by specifying uninhabited areas which have impacts on the analysis of population density such as our estimates of human exposure. In this study, we used various geospatial datasets to expand the existing specification of uninhabited areas within EPA’s EnviroAtlas Dasymetric Population Map for conterminous United States (CONUS). When compared to the existing definition of uninhabited areas for the EnviroAtlas Dasymetric Population Map, we found that IDM’s population estimates for U.S Census Bureau blocks improved across all states in CONUS. We also found that IDM performed better in states with larger urban areas than in states that are sparsely populated. Future updates of the Dasymetric Population Map might benefit from stratified (e.g., urban/exurban/rural) multi-state sampling of population density rather than state-specific sampling. We also updated the existing EnviroAtlas Intelligent Dasymetric Mapping toolbox and expanded its capabilities to accept uninhabited areas.
Reconstructing post-Jurassic overburden in Central Europe: New insights from mudstone compaction and thermal history analyses of the Franconian Alb, SE Germany
Authors: Freitag Simon , Drews Michael , Bauer Wolfgang , Duschl Florian , Misch David , Stollhofen Harald
Published: February 2022

Abstract. The Franconian Alb of SE Germany is characterized by large-scale exposures of Jurassic shallow marine limestones and dolostones which are frequently considered as outcrop analogues for deep geothermal reservoir rocks in the North Alpine Foreland Basin farther south. However, the burial history of the Franconian Alb Jurassic strata is not well known as they were affected by emersion, leading to extensive erosion and karstification with only remnants of the original Cretaceous and Cenozoic cover rocks preserved. To estimate the original thicknesses of the post-Jurassic overburden we investigated the petrophysical properties and the thermal history of Lower and Middle Jurassic mudstones to constrain their burial history in the Franconian Alb area. We measured mudstone porosities, densities, and maturities of organic material and collected interval velocities from seismic refraction and logging data in shallow mudstone-rich strata. Mudstone porosities and P-wave velocities vertical to bedding were then related to a normal compaction trend that was calibrated on stratigraphic equivalent units in the North Alpine Foreland Basin. Our results suggest maximum burial depths of 900–1700 m of which 300–1100 m are attributed to Cretaceous and younger sedimentary rocks overlying the Franconian Alb Jurassic units. Compared to previous considerations this implies a more widespread distribution and increased thicknesses of up to ~900 m for Cretaceous and up to ~200 m for Cenozoic units in SE Germany. Maximum overburden is critical to understand mechanical and diagentical compaction of the dolostones and limestones of the Upper Jurassic of the Franconian Alb. The results of this study therefore help to better correlate the deep geothermal reservoir properties of the Upper Jurassic from outcrop to reservoir conditions below the North Alpine Foreland Basin. Here, the Upper Jurassic geothermal reservoir can be found at depths of up to 5000 m.
QUEM SABE O PRÍNCIPE VIROU UM PERIGO: A RELAÇÃO ABUSIVA EM A MEGERA DOMADA
Authors: PAZ J. S. , SANFELICI A. M.
Published: February 2022

This article discusses the play The Taming of the Shrew, renowned comedy by William Shakespeare, starring a couple whose relationship is, at least, problematic, but rather potentially dangerous. Taking into consideration concepts regarding the “romantic ideal” and healthy relationships, we outline the concept of abusive relationship, supported by the studies developed by McCarry (2010), Markey e Markey (2007) e Postmus, Stylianou e McMahon (2015). By recognizing the abusive relationship as different than the unhealthy one, singularly for its increased degree of violence (any type of violence, be it physical, emotional or psychological), we aim to promote a debate about the relationship between Katherina and Petruchio, focusing on the gender roles and power positions of each party of this relationship. We demonstrate the possibility to perceive this relationship as abusive, since Petruchio controls and blackmails his wife in several opportunities, including severe deprivations, in a dynamic that is far from a healthy relationship.
The Effect of Liquid Smoke on the Quality of Uncooked Smoked Sausages
Authors: Dashtoyan A.L. , Balayan E.B. , Mirzabekyan S.A.
Published: February 2022

Meat products are highly nutritious, shelf stable and widely consumed food products. Today, a wide range of meat products is produced in the Republic of Armenia, which differ from each other in terms of quantity and variety of raw materials, additives, heat treatment, as well as in storage and packaging conditions. The aim of the scientific work is to reveal the threats caused upon the use of different smoking methods in the production of uncooked smoked sausages in the meat industry and to study their quality indicators.
Developing and Implementing Technology of Rosé Wine Production from the Grape Variety “Charentsi”
Authors: Gabrielyan A.H. , Simonyan N.R. , Gasparyan A.S.
Published: February 2022

The research results indicate that the demand for high quality and unique wines is eventually increasing. The goal of the research was to develop and implement technologies of rosé wine production from little studied teinturier grape variety “Charentsi”, for getting high-quality product according to the international standards. During the study, rosé wines were produced from the abovementioned grape varieties by applying different techniques. Besides, physicochemical and organoleptic evaluation for all wine samples were carried out.
Food Powder Manufacture from Grape Pomace and its Application as an Improver in the Macaroni Production
Authors: Yavruyan N.V. , Avetisyan N.A.
Published: February 2022

A number of dietary and functional food products are manufactured by macaroni producing enterprises, which are presented in trade network, but their percentage ratio is still small.
Nutritional and biological value of macaroni products can be enhanced due to the introduction of non-traditional raw materials and specific food additives in the recipe.
Based on this, a concept for developing high quality and nutrient value macaroni production technology is recommended, which is related to the selection of nontraditional raw material. The novelty of the research is that the grape pomace powder is going to be used as an additive with high nutritional value.
A Review on Self Learning based Methods for Real World Single Image Super Resolution
Authors:   Dr. Vishwnath Karad Mitworld Peace University, School of Polytechnic & Skill Development, Pune, India, J. Gaikwad Yogesh
Published: February 2022

One of the active research issues in image processing is super resolution, which is used to boost picture resolution. The super resolution of a single image is obtained by rebuilding high-resolution (HR) pictures from low-resolution (LR) damaged photos (RSISR). This research examines publicly accessible datasets, RSISR assessment measures, and self-learning RSISR techniques. Comparisons are made in terms of reconstruction quality and computing efficiency utilising the self-learning RSISR technique and datasets.
Which Wine is that? A NLP Approach to Wine Variety Detection
Authors: Surya Priyanka Nirogi , Borwankar Saumya , Shah Jaynil , Rohith Sai , Kansal Deepankur , Ganesh Rohit N , Prakash Verma Jai ,   Insitute of Technology, Nirma University, Gujrat, India
Published: February 2022

Detecting wine variety based on the country, year of origin and the review alone is a very difficult task. This problem is converted into a classification problem using the combination of Natural Language Processing (NLP) and machine learning. A public dataset that consisted of wine variety corresponding to its country, review, designation, province, winery and year was used for analysis of proposed approach. Natural Language Processing is used as a preprocessing step in our approach along with neural network to build a classifier. For more robust training k-fold cross validation technique was also looked and implemented for the same. The evaluation metric chosen to analyse the performance was accuracy. 98\% accuracy was attained on the evaluation set with our model. To our best knowledge, this is the first attempt to exploit NLP and neural networks to deal with prediction of wine variety.
BlockChain-A Countermeasure for Security and Privacy in Domotics
Authors:   Shri JJT University, Jhunjhunu, Rajasthan, India, Singh Priyajot , Kumar Pramod
Published: February 2022

Due to improvements in information & communication technology & growth of sensor technologies, Internet of Things is now widely used in smart homes for optimal resource management&ubiquitous sensing. In smart homes, many IoT devices are linked together via gateways.Importance of gateways in smart homes cannot be overstated, but their centralised nature exposes them tovariety of security threats, including integrity, certification, & availability. In this paper, we propose blockchain-based smart home gateway network to address these security vulnerabilities. This network guards against likely smart home gateway attacks. In smart home setting with limited resources, devices such as sensors & actuators are connected& communicated indispersed manner. One ofproblems in this sector is data storage& safe transmission sinceinformation is sensitive& contains lot of personal information fromhome network. Authors of this study have created3-tier architecture IoT-Fog-Cloud for safe & efficient data processing. Data may be analysed & monitored in real time with fog computing. Identity is one of thread models for IoT-based smart homes. Finally, this article focuses on Blockchain Technology, which has potential to overcome IoT application security problems. We built suggested network using Ethereum blockchain technology & tested it against industry standards for security, such as security response time& accuracy. We also propose some possible solutions to these security & privacy problems in IoT based on blockchain to illustrate how blockchain helps to IoT.
Smart Waste Management System using Internet of Things and RFID Technology
Authors:   Department of Electronics and Communication Engineering, Sagar Institute of Research & Technology, SAGE University, Indore, Madhya Pradesh, India, Chaturvedi Vasundhra , Yadav Mukesh , Tiwari Nidhi
Published: February 2022

More recently the government's massive fundraising campaign has been working to separate the garbage. The Indian government has invested a lot of money and energy in this work. To separate the garbage the government also needs sophisticated high-energy equipment. These machines also required maintenance costs from time to time. Health illness also affects when manual workers. The government also works to raise awareness of the separation of dry and wet waste through campaigns, banners, posters and celebrity campaigns. To overcome and alleviate the above problem our smart garbage dissection program will educate and name the user to make the best use of the dustbin. A microcontroller, sensors, servo motors, DC motor, RFID and Wi-Fi technology that will be used to build this great garbage disposal system. The main purpose of this paper is to educate and reward the various users who dump garbage on a daily basis. This program will have an RFID learning module that can monitor user identification with the RFID tag and the Wi-Fi system will send user data to an IOT-enabled application. At this point the IOT app user can check their bonus points. This bonus point can be adjusted for another discount offer.
Development of Artificial Intelligence Based Chatbot Using Deep Neural Network
Authors: Srinivasa Rao Dammavalam , Lakshman Srikanth K. , Noshitha Padma Pratyusha J. , Sucharitha M. , Tejaswini M. , Ashwini T.
Published: February 2022

No matter how well-known the colleges are, there will always be concerns that people have during the application process and even after they have been accepted. The college hosts a variety of events, ranging from departmental activities to club activities. Not everyone is likely aware of all events. The chatbot bridges the gap between people and information. The world is becoming more automated, and people expect services to become more automated as well. Using a chatbot is the best approach to serve because, unlike a human, they are accessible 24 hours a day, seven days a week. A chatbot is a software that responds to user questions and provides information from a knowledge base. The purpose of this project is to create a chatbot for VNRVJIET that will answer queries raised about fests, departmental activities, events, clubs, infrastructure, placement data, admission procedure, and other topics. The proposed methodology consists of a chatbot built using Deep Neural Networks and speech recognition capabilities. The information is delivered in both speech and text modes using the proposed methodology. Data is collected and formatted in JSON format initially. The prepared data is pre-processed, and then the bag of words (BoW) algorithm is applied to it. The bag of words algorithm is most influential method for object categorization. The key aspect of using this algorithm is for converting the word vector to a numerical dataset for machine to do a deeper analysis. A deep neural network is created using tensorflow API, and the speech recognition function is de-fined for the input query and output response. Finally, the chatbot function is defined and utilized for generating responses for any given query.
Popular Diabetes Mobile Applications for Medication Intake Monitoring
Authors: Babaskin D.V. , Litvinova T.M. , Babaskina L.I. , Krylova О.V. , Winter E.A.
Published: February 2022

To solve the problem of monitoring and supporting the drug adherence of patients with diabetes using diabetes mobile applications, expanding and developing the mobile apps market, and increasing their competitiveness, it is necessary to conduct market research of consumer preferences and competitive advantages of diabetes apps. This paper aims to analyze popular diabetes mobile applications in Russia and the possibilities of their use to monitor and support the drug adherence of patients with type 1 and 2 diabetes mellitus. Materials and methods. The object of the study was 25 diabetes apps. The survey involved 985 mobile application users from 32 regions of Russia. All respondents were divided into two target segments. The first segment (S1) included 572 patients with type 1 diabetes mellitus, while the second target segment (S2) consisted of 413 patients with type 2 diabetes mellitus. Field research was carried out by the method of oral survey (12.6%) and web survey (87.4%) using a structured questionnaire. Positioning was carried out using a qualitative method with a two-dimensional map of perception. Competitiveness was assessed by 28 experts using the quantitative method of individual scores with the calculation of integral indicators. Results and discussion. It was found that only about 50% of respondents in the target segment S2 and more than 70% in segment S1 had a high degree of drug adherence. The main barriers to the use of diabetes mobile applications were the insufficient formation of the support system for drug administration regimens (76.6%, S1 and 84.3%, S2) and technical difficulties (51.6%, S1 and 48.7%, S2). A comparative analysis of the results of positioning and assessment of competitiveness showed that some diabetes apps had a higher competitive advantage with an emphasis on supporting drug adherence compared to consumer preferences for their use. A strategic mechanism has been proposed to increase the importance of mobile applications to support drug administration, dosing, and control regimens in patients with diabetes mellitus to satisfy consumer preferences better. Conclusion. The results obtained provide a basis for the development of a set of measures for the further development of the basic segment of the diabetes mobile applications market for monitoring and supporting drug adherence and increasing the competitive advantages of mobile applications, which will contribute to the effective treatment and prevention of diabetes mellitus in Russia and globally.
A Review of Current treatment for Triple-Negative Breast Cancer (TNBC)
Authors: Wahyuni Wahyuni , Diantini Ajeng , Ghozali Mohammad , I Sahidin
Published: February 2022

We reviewed about the Triple-negative breast cancer (TNBC) and its treatment. We collected credible data from scientific database such as google scholar and Pubmed from published literatures between 2015 to 2020. According the collected literature, TNBC is one of breast cancer type can be found in women with breast cancer. It estimated about 170.000 of TNBC cases worldwide. The ER-/PR-/HER2- TNBC is the character for TNBC, and it has the poorest prognosis among other breast cancer. The risk factor of TNBC is gender, age, breastfeeding status, and special race such as African-American and Hispanic. Besides, the BRCA-1 mutation is related to TNBC. The treatment of TNBC is including surgery and radiotherapy, chemotherapy, and targeted therapy. The surgery, including BCS (Breast-conserving surgery) or called as lumpectomy and mastectomy; chemotherapy agent sensitive to TBNC, including alkylator agents, anthracyclines, taxanes, platinum-based chemotherapy, vinca alkaloids, and antimetabolites; as well targeted therapy such as PARP1 and PARP2 inhibitor, CDK (Cyclin-dependent kinase) inhibitor, p%3 inhibitor, CHK1 inhibitor, androgen antagonist, DNMT1 (DNA Methyltransferase 1) inhibitor, Anti-EGFR, PI3K/AKT/mTOR inhibitor, and anti-VEGF. These treatments are used both in early and metastatic stage of TNBC, alone or in combination.
A brief review on pregnancy risk reasoned to COVID-19
Authors: Yee Mon Mon , Khaing Mi Mi , Yee Khin Than , Thidar Aye Mya
Published: February 2022

Introduction: Pregnancy is confronted with increased risk for COVID-19 since the expression of immune markers, realized the fact that the immune cells and cytokines, the virtuous understanding of the pathophysiology of the disease reduce maternal deaths. Pregnant women are enfeebled against the immune systems and are at added risk of contracting COVID-19. Indeed, they are at added risk of contracting COVID-19. The studies have proven the similarities between the COVID-19 and pregnancy regard to their immune system marked by a noticeable reduction in lymphocytes and raise in selected proinflammatory cytokines. Purpose: The study aims to conduct a review engine to enhance the knowledge on pathophysiological stirrings of condition in normal pregnancy and COVID-19, which are marked by decreased lymphocytes, NKG2A inhibitory receptors, and increased ACE2, IL-8, IL-10, and IP-10 project the risk for developing COVID-19 in pregnancy. To bring out the awareness on pregnancy vulnerability risk for COVID-19 and its complications. Method: This study is initiated with search engine reviewing previous studies correlating with various aspects of normal pregnancy COVID-19 pathophysiological aspects and COVID attack risk in pregnancy. This study probe through electronic databases such as PubMed, Medline, and Scopus databases using keywords such as Coronavirus Immune marker, Pregnancy Lymphocytes, Natural killer cells, a similar pat physiological condition in pregnancy, and COVID-19, Pregnancy vulnerability risk for COVID-19. Result: Analysed studies have given out fruitful information on pregnancy risk, the corona virus immune markers in pregnancy is seen with reduced lymphocytes, and increase proinflammatory cytokines that depict the similarity in the pathophysiological condition in pregnancy and COVID-19, pave up to pregnancy vulnerability for risk in COVID-19 contraction. Conclusion: This review analysis drawn informative tips for professionals that would be useful in educating patient as a part of preventive measure.
A Framework for Large-Scale Structural Applications of 3D Printed Concrete: the Case of a 29 m Bridge in the Netherlands
Authors: Ahmed Zeeshan , Wolfs Rob , Bos Freek , Salet Theo
Published: February 2022

In this work, a framework for large-scale structural applications of 3D printed concrete is presented. The steps in this framework, consisting of a design phase, testing phase and manufactur-ing phase, towards a final output were presented and discussed theoretically. The framework was then applied to the case of a 29 m 3D printed bridge, constructed in the Netherlands. The full application of the framework illustrates that despite the absence of standards, it is possible to safely apply 3D printed structures in practice. With the gradual increase of testing data expected to become available over the coming years, the extent of the application of the framework can be reduced step-by-step.
Implementasi Proses Pembelajaran Pada Milenial
Authors: Idayanti Esther , Poroe Herman
Published: February 2022

Tiap generasi memiliki budaya dan pandangannya masing-masing, sesuai dengan perkembangan dan situasi pada zaman itu. Para milenial yang kini berusia antara 18-37 tahun juga memiliki budayanya sendiri, yang turut memengaruhi cara pandang dan cara mereka belajar. Penelitian ini berusaha memberikan gambaran tentang para milenial dan cara-cara praktis untuk mengajar mereka. Penelitian ini menggunakan metode studi literatur kepustakaan dengan merevew berbagai sumber kepustakaan untuk menggambarkan preferensi cara belajar dari para millenial
INFRASTRUCTURAL AND ECONOMIC OPPORTUNITIES FOR THE DEVELOPMENT OF A MUNICIPALITY IN THE CONDITIONS OF CHANGING ITS ADMINISTRATIVE STATUS: THE POTENTIAL OF THE KOLTUSH RURAL SETTLEMENT OF THE LENINGRAD REGION
Authors:   Institute of Regional Economics Problems of the Russian Academy of Sciences, Sviridenko M. V.
Published: February 2022

The article presents the results of comparing the socio-economic development of the Koltush rural settlement with some urban settlements of the Leningrad region. It is demonstrated that the considered municipality demonstrates the pace of development in some cases even higher than similar urban settlements of the Leningrad region. The infrastructural and economic opportunities for the development of the municipality are identified. The results of the study can be used in practical activities of regional authorities and local self-government as well as serve for further scientific researches in the field of effective separation of the powers between different levels of government.
THEORETICAL AND METHODOLOGICAL APPROACHES TO INSTITUTIONAL TRANSFORMATIONS IN THE ENVIRONMENTAL COMPONENT OF THE SOCIAL SECTOR OF THE REGIONAL ECONOMY IN THE CONTEXT OF ENVIRONMENTAL EDUCATION OF THE POPULATION AND ITS HEALTH
Authors:   Institute of Regional Economics Problems of the Russian Academy of Sciences, Shabunina T. V.
Published: February 2022

Improving the education system, legislation, mass media, and public organizations are given. The effectiveness of institutional transformations in the environmental component of the social sector of the regional economy is proposed to be assessed, in the first approximation, on the basis of the dynamics of the main indicators of the environment and public health. The theoretical problems, the solution of which is necessary for the development of the institutional environment of the region, are highlighted.
SILVER ECONOMY AS A WINDOW OF OPPORTUNITIES FOR SOCIO-ECONOMIC DEVELOPMENT OF ST. PETERSBURG: PROBLEM STATEMENT
Authors:   Institute of Regional Economics Problems of the Russian Academy of Sciences, Shestakova N. N. , Djanelidze M. G. ,   Institute of Regional Economics Problems of the Russian Academy of Sciences, Skvortsova M. B. ,   Institute of Regional Economics Problems of the Russian Academy of Sciences
Published: February 2022

The article discusses the issues of launching and promoting the model of the silver economy as a response to the global trend of population aging. The economic side of the experience of states implementing this model is investigated. The role of the older population in the economic recovery after the COYID-19 pandemic is noted. The urgency of promoting the model of the silver economy for St. Petersburg as a city, which has more than a quarter of the population of older age groups in its current and future structure, is substantiated.
Detection of the canine herpes virus glycoprotein B gene via Polymerase Chain Reaction
Authors: Leidy Carrasco Madrid  , María Antonieta Jara  , Carlos Navarro Venegas
Published: February 2022

The Canine Herpesvirus type 1 (CaHV-1) causes fatal hemorrhagic disease in puppies less than four weeks, while in four weeks older puppies it produces some minor clinical signs such as rhinitis, pharyngitis, or conjunctivitis. In adults, is capable to producing eye disease and reproductive disorders, and it is a participant pathogen called "kennel cough". The gene coding for gB, a glycoprotein present in the viral envelope, is described in a great variety of herpes virus, because it is essential to the process of entry of virus into the cell and thus define the route of neuroinvasion. This work was conducted in the laboratory of Virology and Microbiology, Department of Animal Preventive Medicine, Faculty of Veterinary and Animal Sciences, University of Chile and its purpose was to contribute to the molecular characterization of isolated viral RP5, and confirm the presence of a herpes native virus, by detecting the glycoprotein B gene by Polymerase Chain Reaction. The results allow demonstrating a high sensitivity of the technique implemented and a high specificity than other PCR protocol implemented in other title memory. Thus, a high nucleotide identity percentage (NIP>98) compared to the sequence published in GenBank allows the qualification of this protocol as a serious contender to become a diagnostic method for CaHV-1 in Chile and on the other hand it concludes that the isolated native RP5 corresponds to CaHV-1.
A study on changes in weight and body mass index of patients post below knee amputation secondary to diabetes
Authors: Rohit Shahi  , Susmitha Gulla  , K Satya Kumar
Published: February 2022

Introduction: The number of people with lower-limb amputations (LLA) is expected to double by the year 2050, largely because of vascular disease associated with an aging population and increased incidence of diabetes and heart disease. The change in weight pattern will help us in designing linear spring based osseointegrated prosthetics for people living in hilly areas with amputation who living in hilly terrain. Methodology: N were selected for the study. We used weights and heights obtained during inpatient and outpatient clinical encounters. N going under transtibial amputation were selected and the patients were categorized under two groups Type-1 and Type -2 diabetes. Height and B.M.I. was taken from the case record form at the time of entry of a patient in the general surgery department. Percent weight change, calculated as the difference between weight at time x and weight at baseline, divided by baseline weight x 100, was the primary outcome of interest. Results: Among 20 patients selected for the study (n=100). Out of which 6 patients were Type-1 diabetic and the rest 14 were type two diabetic. The height of twenty patients ranged from 154cm-174cm. with a mean height of 163.8cm. As expected based on our matching, the distribution of ages, BMI, reference years, and presence of a diabetes: 65 percent of individuals were between the ages of 25 and 74 yr, 73 percent had diabetes, and nine patient were overweight (range 25.5-29.9) where rest eleven patients were obese, out of which nine have B.M.I. 30-35 and rest two were above 35.1.The difference in change in weight between type one and type two patient were noted. Type one patient showed mean weight increase of 5055gm, where as type two diabetic showed an increase of 4894gm within the span of three months.
Disability and White Supremacy
Authors: Reynolds Joel Michael
Published: February 2022

It is widely known that Black Americans are significantly more likely to be killed by the police in the United States than white Americans. What is less widely known is that nearly half of all people killed by the police are people with disabilities. The aim of this article is to better understand the intersection of racism and ableism in the United States. Contributing to the growing literature at the intersection of philosophy of disability and critical philosophy of race, I argue that theories concerning white supremacy should take more seriously the ways in which it functions as a process and apparatus of making abled and disabled. I conclude by discussing why understanding white supremacy in this manner is a valuable coalitional tool in fights for social justice more generally.
Terrortories
Authors: Murdock Esme Greene
Published: February 2022

This article proceeds from the thesis proposed by Frantz Fanon that colonialism, specifically settler colonialism, is a world-destroying structure that the colonized witness as a “veritable apocalypse.” Settler colonialism is apocalyptic not only in the sense that it attempts to permanently destroy and make irretrievable various other Indigenous worlds and ways of being-in-the-world, but also in that it builds the settler colonial world in, on, and with Indigenous lands and bodies. I read Fanon as proposing that settler colonialism builds apocalyptic worlds with the murdered worlds of the colonized and then forces the colonized to navigate and embrace these violent and traumatic landscapes, which I call terrortories. I argue this is directly connected to Fanon's revolutionary psychiatric work and practice to decolonize and disalienate colonial medical and psychiatric facilities as structures of disablement, which requires the abolition of settler colonialism altogether.
Comparative analysis on the thermal performance of selected building materials and technologies for housing in the sudan
Authors: Elkhalifa Akram , Balila Amal
Published: February 2022

In search for adequate and affordable housing based on appropriate local building materials and technologies, theNational Fund for Housing and Rehabilitation (NFHR) has invited research institutes, professional associations andpractitioners to give their suggestions and recommendations in this regard. Demonstration models were developed to showthe appropriateness of some technologies and materials and the extent of its affordability.The purpose of this study is to carry out a comparative analysis between some of these different technologies in termsof economical and environmental contexts using Ecotect software. According to the analysis results, selected materialsfor walling and roofing are ranked based on their performance in terms of annual energy required, passive comfort, heatgains, and passive breakdown of heat gains and losses.
تأثير التخطيط الزمني والتدفق النقدي والعنصر البشري على تاخير تنفيذ مشروعات التشييد بولاية الخرطوم
Authors: نور الدائم فتح الرحمن الطيب , قاسم عبد الرحمن سعيد
Published: February 2022

This study was carried out in Khartoum State-Sudan during 2012-2014. The data was collected by questionnaires from the engineers working in the contracting companies. The collected data was analyzed by the statistical descriptive analysis using SPSS20 program. The main suggestions of this study for the delay in executing the engineering projects was due to (1) weaknessof the contracting companies in using the engineering planning and the time schedule of the different activities, (2) low budget and irregular cash ﬂow through the life time of the projects and (3) use of unqualifed workmanship for the different activities. The results of this study showed the reality of these suggestions for the delay in executing the projects.
Interdisciplinaridade e processos de ensino e aprendizagem: experiências formativas de docentes que lecionam matemática
Authors: Ferreira Matias Neto Alves , Xavier Antônio Roberto , Andrade Wendel Melo , Santos Maria José Costa dos
Published: February 2022

O presente artigo tem o objetivo de compreender como a formação acadêmica inicial tem contribuído para a realização de práticas interdisciplinares nos processos de ensino e aprendizagem da matemática. Para tanto buscamos analisar a dialética existente sobre o conceito de interdisciplinaridade em conjunto com outras disciplinaridades, nos fundamentando em teóricos como Pombo (2004), Fazenda (2008) e outros. Metodologicamente, o estudo se assenta com mais ênfase na abordagem qualitativa, e seu delineamento se deu com uma revisão de literatura, com a identificação dos sujeitos e a aplicação de questionários semiestruturados. Os resultados encontrados apontam para uma polissemia referente ao conceito de interdisciplinaridade, e que embora as práticas interdiciplinares no âmbito da formação inicial se mostrem significativa, percebemos que ainda há uma necessidade de se ampliar o trabalho com estas práticas no ensino superior. A aproximação com os professores revelou o reconhecimento da interdisciplinaridade como uma importante referência para pôr em prática os saberes matemáticos relacionando-os com outras áreas do conhecimento.
Дискредитація системи електронного голосування в РФ та нові виклики для впровадження цифрових виборчих технологій в Україні.
Authors:   Національний інститут стратегічних досліджень, Токар-Остапенко О. В. , Павленко І. А. ,   Національний інститут стратегічних досліджень
Published: February 2022

Запровадження у виборчий процес нових технологій голосування є наслідком технологічного розвитку. Використання цих технологій має відповідати принципам демократичних виборів, не викликати у суспільства сумнівів у достовірності отриманих результатів голосування. Саме тому питання імплементації електронного голосування у демократичних країнах уже багато років супроводжується широкими фаховими та суспільними дискусіями. Найяскравішим прикладом стрімкої втрати довіри суспільства до системи онлайн-голосування є досвід її використання на парламентських виборах 2021 р. у Російській Федерації. Закритість та непрозорість системи дистанційного електронного голосування в Росії, організаційні та технічні проблеми, аномалії у результатах голосування дискредитували таку форму волевиявлення і в довгостроковій перспективі перешкоджатимуть створенню позитивних сценаріїв суспільного сприйняття у тих країнах, які планують її ймовірне впровадження. Але зловживання авторитарними режимами новими виборчими технологіями не повинне, на думку експертів НІСД, спричинити повну відмову демократичних країн від запровадження електронного голосування у майбутньому. Правильним є не відмова від стратегії впровадження з часом в Україні дистанційного електронного голосування, а врахування як іміджевих ризиків від його застосування (після дискредитації даної технології у РФ), так і вивчення допущених помилок. В аналітичній доповіді визначено помилки та зловживання у процесі впровадження системи дистанційного електронного голосування під час парламентських виборів 2021 року в Російській Федерації, зроблено висновки та розроблено стратегію дій щодо запровадження електронного голосування в Україні.
Pentingnya Pendidikan Bagi Anak Usia Dini Dalam Membangun Generasi Muslim Berprestasi
Authors: Mustar Mustar , Rahman Zainur , Hasan Moh.
Published: February 2022

Devotion is carried out by guiding early childhood to write Arabic, recognize numbers, recognize body parts and procedures for worship. The guidance method used for early childhood is the Offline method. Offline is a method of implementing work programs that are carried out offline where program implementers visit the location or object where a work program will be implemented. The implementation of the guidance program for early childhood education went well. Although there were several obstacles faced, support from various parties, especially from the institution itself, greatly helped the smooth implementation of the service program in Sumur Dalam hamlet. Education has a positive impact on both children.