Coverage Analysis Research Articles

Enhancing the sequence coverage of nanodiamond-extracted early secretory proteins from the Mycobacterium tuberculosis complex.

The unambiguous identification of protein species requires high sequence coverage. In this study, we successfully improved the sequence coverage of early secretory 10 kDa cell filtrate protein (CFP-10) and 6 kDa early secretory antigenic target (ESAT-6) proteins from the Mycobacterium tuberculosis complex (MTC) in broth culture media with the use of the 4-chloro-α-cyanocinnamic acid (Cl-CCA) matrix. Conventional matrices, α-cyano-hydroxy-cinnamic acid (CHCA) and 2,5-dihydroxybenzoic acid (DHB), were also used for comparison. After nanodiamond (ND) extraction, the sequence coverage of the CFP-10 protein was 87% when CHCA and DHB matrices were used, and the ESAT-6 protein was not detected. On the other hand, the sequence coverage for ND-extracted CFP-10 and ESAT-6 could reach 94% and 100%, respectively, when the Cl-CCA matrix was used and with the removal of interference from bovine serum albumin (BSA) protein and α-crystallin (ACR) protein. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) was also adopted to analyze the protein mass spectra. A total of 6 prominent ion signals were observed, including ESAT-6 protein peaks at mass-to-charge ratios (m/z) of ∼7931, ∼7974, ∼9768, and ∼9813 and CFP-10 protein peaks at m/z of ∼10 100 and ∼10 660. The ESAT-6 ion signals were always detected concurrently with CFP-10 ion signals, but CFP-10 ion signals could be detected alone without the ESAT-6 ion signals. Furthermore, the newly found ESAT-6 peaks were also confirmed using a Mag-Beads-Protein G kit with an ESAT-6 antibody to capture the ESAT-6 protein, which was also consistent with the sequence coverage analysis.

Millimeter-Wave Channel Modeling and Coverage Analysis for Indoor Dense Spaces

Millimeter-Wave Channel Modeling and Coverage Analysis for Indoor Dense Spaces

Coverage Analysis for mmWave Networks with Reflective and Transmissive Intelligent Surfaces

Coverage Analysis for mmWave Networks with Reflective and Transmissive Intelligent Surfaces

Generalization Beyond Feature Alignment: Concept Activation-Guided Contrastive Learning.

Learning invariant representations via contrastive learning has seen state-of-the-art performance in domain generalization (DG). Despite such success, in this paper, we find that its core learning strategy - feature alignment - could heavily hinder model generalization. Drawing insights in neuron interpretability, we characterize this problem from a neuron activation view. Specifically, by treating feature elements as neuron activation states, we show that conventional alignment methods tend to deteriorate the diversity of learned invariant features, as they indiscriminately minimize all neuron activation differences. This instead ignores rich relations among neurons - many of them often identify the same visual concepts despite differing activation patterns. With this finding, we present a simple yet effective approach, Concept Contrast (CoCo), which relaxes element-wise feature alignments by contrasting high-level concepts encoded in neurons. Our CoCo performs in a plug-and-play fashion, thus it can be integrated into any contrastive method in DG. We evaluate CoCo over four canonical contrastive methods, showing that CoCo promotes the diversity of feature representations and consistently improves model generalization capability. By decoupling this success through neuron coverage analysis, we further find that CoCo potentially invokes more meaningful neurons during training, thereby improving model learning.

Coverage Analysis of Single-swarm mmWave UAV Networks under Multiple Types of Blockages

Coverage Analysis of Single-swarm mmWave UAV Networks under Multiple Types of Blockages

Analysis of the geographic coverage of public hospital beds in Chile

Currently it is possible to observe various problems in our country associated with access to the hospital system, which could be largely due to the location or territorial location of the population, by virtue of this, there is an interest in knowing if public hospital care depends to a great extent on where one lives in Chile. A cross-sectional study is carried out using the Hospital Discharge Statistical Report (years 2015 to 2019), selecting the 177 public hospitals that provide care for more than one of the following pathologies: Tumors, Diseases of the circulatory system, respiratory system, digestive and genitourinary system. Total hospital discharges were classified into three levels of geographic coverage based on the patient's place of residence: local, adjacent, and non-adjacent. The analysis database comprised of Discharges, Beds, ICU Beds, ICU Beds, Coverage 1, Coverage 2, and Coverage 3 was grouped using the K-Means method. It was possible to identify 5 classes that explain different levels of variability in the geographical coverage of a hospital, these being called: very low, medium low, medium, high and very high. The methodology used in this study, it was possible to obtain the result that there are patients better located in the territory and that, therefore, they have more expeditious access to take advantage of the supply of hospital beds based on their needs or preferences.

Analyzing the Effects of Twitter on Electronic Media A Study of By-Elections 2022 in Pakistan

This research examines the impact of Twitter on electronic media in Pakistan during the by-elections of 2022. The study specifically focuses on the strategies utilized by political personalities, such as Imran Khan and Maryam Nawaz, to shape public conversation. Twitter, a highly influential social media tool, exerts significant influence in shaping public opinion and setting the agenda. This study uses agenda-setting theory to examine the impact of Twitter debates during the by-elections on the public's perception of prominent themes. This study explores eleven main themes, which include political issues and socio-economic factors. These themes contain topics such as "Lifafa Journalism," "Imported Government," "Lawlessness," and "Inflation." This study conducts a thorough examination of Twitter engagement, uncovering discrepancies in the frequency of tweets and accompanying media coverage received by Imran Khan and Maryam Nawaz on four prominent news networks. It is worth mentioning that Maryam Nawaz's tweets have a notable prevalence, particularly about topics such as "Harsh Language" and "Incompetent Government." On the other hand, Imran Khan's influence is evident in thematic domains such as "Imported Government," "Inflation," "Regime Change," and "Haqeeqi Azadi." The analysis of media coverage reveals that Imran Khan's tweets garnered significant visibility across many thematic categories, particularly on prominent news channels like as ARY News, Geo News, Sama News, and Dunya News. In contrast, the tweets of Maryam Nawaz received considerable attention, namely from Geo News and Dunya News, illustrating the varied media strategies utilized by each leader.

Hydrological modeling for the discharge production in an experimental area of the Guayas river basin, Ecuador

Hydrological simulation is a vital issue within the comprehensive management of hydrographic basins, with estimates being an input for decision-making by territorial managers. The objective of the current study is to conduct the hydrological modeling of an experimental basin of the Guayas River, where the discharge of the Baba River will be simulated using the HEC-HMS hydrological modeler. Hereby, the morphometric and hydrological modeling of the basin was performed from a global DEM (ASTER GDEM) in an environment of Geographic Information Systems (GIS) complemented with the analysis of thematic coverage of land types and uses as well as of precipitation data for the sector. The simulation of the discharge of the experimental basin determined that twenty percent of the precipitation that fell in the time window of analysis generated direct runoff and the residual eighty percent is attributed to abstractions. This is a condition that is given by the presence of agricultural crops corresponding to seventy percent forest masses, native forest and shrubby vegetation, as well as by the interception processes as well as water catchment systems in the urban area. The adequate results obtained in the application of the HEC - HMS model are based on the previous work of physical and hydrological characterization of the basin expressed through the physiographic structure of the basin and the valorization of the parameters that characterize the hydrological processes. This research tends to be useful for small hydrographic basins in Ecuador that play an important role in the ecosystem and lack of hydrometeorological information.

Фінансування дефіциту державного бюджету України в умовах воєнного стану

As a country that faces constant economic turbulence, Ukraine is dealing with several challenges. This includes a significant increase in the deficit of budget resources while needing to finance military expenses, all while trying to maintain macroeconomic stability. This article focuses on the specifics of financing the deficit of the state budget of Ukraine during martial law. The financing of the state budget deficit is analyzed in terms of the classification of budget financing by the type of creditor and the type of debt obligation. These indicators were significantly affected by the military challenges in 2022 and the first half of 2023. The article also covers the budget deficit’s coverage analysis at the expense of revenues from the privatization of state property and the issuance of military government bonds, which gained popularity in Ukraine. The authors emphasized the importance of cooperation between the state and IFIs and other institutions as an essential source of financing for overcoming the deficit of the state budget. This form of cooperation is necessary for maintaining the country’s financial stability and resilience to face complex challenges. The article examines the measures to cover the budget deficit in military conditions, including the need to carry out budget system reforms, cost optimization, searching for new sources of income, expanding the tax base, and improving the efficiency of the tax system, which can provide additional funds in the budget. Other measures include financial transparency, investment stimulation, budget consolidation, increasing transparency, fighting corruption, improving conditions for entrepreneurship, achieving low and stable inflation, expanding the tax base, and speeding up the privatization of state enterprises.

Role of translation in teaching foreign lan-guages

Problem. Since people started communicating in different languages the various approaches and methods have been used throughout the history of language learning. During this time, there were and still are disputes regarding the most effective methods of teaching foreign languages. Such discussions include the choice between the classical grammar-translation method, which once prevailed in the methodology of teaching foreign languages, especially "dead" languages, the so-called "direct" method, which rejects the use of the native language, and the mediation method, which arose as the result of rethinking the formal and cultural goals of language learning. Mediation is analyzed as one of the most up-to-date method as it is not only a translation, but also a new formulation and summarization, which further emphasizes the ubiquitous nature of mediation in foreign language communication. In the perspective of multilingualism, mediation is considered as natural inter- and intra-lingual communication. Using the term mediation, the specific forms of which are translation and interpretation, the fact is emphasized that translation is a part of everyday, natural and spontaneous communication and corresponds to the desire for mutual understanding. Goal. The purpose of this article is to consider the evolution of the role of translation in the process of learning foreign languages since the beginning of this subject. Methodology. The purpose and specificity of the study determined the use of the method of description with elements of comparative analysis for a comprehensive coverage of the issue. Results. The article showed the stages of evolution in teaching translation which still have more than one approach and requires deep study. Originality. The is an analysis of the translation science development. Those whom this subject concerns may find it interesting to go deep into the history and follow the analysis of old and new practices in the subject. Practical value. Certain issues in the article can help the teachers organize the process of translation teaching in the class and as an individual students’ work.

Appropriately Addressing Too Much Sitting as a Public Health Issue: Content Analysis of Coverage in the Five Major National Japanese Newspapers.

Recent international public health guidelines now address reducing and breaking up time spent sitting (sedentary behavior). Japanese people spend considerable time sitting in workplaces and other contexts. With potential future public health guidelines in Japan, there is the need for greater public awareness of the importance of reducing sedentary time and of practical ways to do so. From the five major Japanese national newspapers, articles on sedentary behavior published between 2000 and 2021 were identified and coded for content analysis, including the main topic of the article, population group, sedentary behavior context or domain, health outcome, and solutions for reducing sedentary time. There were 53 articles identified, with sedentary behavior being the main topic in 22; workers as a population group appeared in 20 articles and workplaces as a domain in 22. More than 70% mentioned health influences, but fewer than 60% mentioned solutions. Further to informing the public about adverse health influences and consequences for workers and workplaces, there is also the need for improved coverage of the broader benefits of reducing sitting time, sedentary behavior among older adults and children, sitting in all aspects of daily life, and, importantly, considering public health guidelines and solutions for reducing prolonged sitting.

Content Analysis of Online News Portal Coverage of Covid-19 Vactination Issues in Indonesia

Online news portal is the substantial sources of information for the public, especially regarding the COVID-19 vaccination. Reviewing emerging themes and content on online news portals can provide insight for policymakers and stakeholders to interpret the diversity of information flows. The purpose of this study is to describe the tendency of presenting news and the objectivity of reporting on the online news portal kompas.com regarding the issue of covid-19 vaccination in Indonesia. This study uses the concept of objectivity which is divided into two dimensions, namely the factual dimension and the impartial dimension. The factual dimension contains sub-dimensions of truth, informative, and relevance. The impartiality dimension consists of balance and neutrality sub-dimensions. This research uses quantitative content analysis method. The population in this study is news text articles on news portal Kompas.com from January 1 to March 31, 2021 as many as 1,961 news, with a margin of error of 8%, obtained a sample of 145 news. Based on the research results, Kompas.com presents news in hard news format using short paragraphs. In relation to the COVID-19 vaccination, Kompas.com presents a lot of news related to the implementation of the COVID-19 vaccination with the government (both central and regional) as the main resource person. Regarding objectivity, there is a clear effort from Kompas.com in producing objective news that already looks good, but the standard of objectivity must be further improved.

Evidentiality in American Media's Coverage of China-related Epidemics from the Perspective of Critical Discourse Analysis

Introduction: The COVID-19 pandemic is one of the major public health events of the 21st century and has attracted global attention from the press since its outbreak. This research focused on the analysis of news coverage on the China-related epidemic by American media, aiming at revealing the features of evidentiality in the discourse and elucidating the underlying ideologies. This study can help news readers develop an objective and comprehensive understanding of China. Methodology: This study selected 40 China-related epidemic news reports from The New York Times and The Washington Post during the pandemic. The quantitative and qualitative analyses of the selected news were conducted through AntConc4.2.2 in light of Fairclough's (1992) three-dimensional model. Results: The results of this study indicated the pervasive use of evidentiality in the coverage of the China-related epidemic by U.S. media, wherein distinct evidential markers demonstrated varying frequencies and served different functions. In terms of news sources, American media predominantly relied on hearsay evidentials to attribute information, thereby bolstering the credibility of the reports while subtly conveying a skeptical stance toward China. In terms of reporting modes, the reporting mostly used indirect discourse and employed deduction and induction evidentials to express negative attitudes toward China. All the results were highly related to the social context. Conclusion: Generally, the research underscores the widespread incorporation of evidentials in news discourse, employed to specify or obscure sources of information. Furthermore, evidentials embed certain ideologies and attitudes, which may mislead readers.

Exploring dengue genome to design effective multi epitope-based peptide vaccine by immunoinformatics approach against all serotypes of dengue virus

Dengue fever is an acute tropical disease that is spread by Aedes species mosquitoes. It is a virus-mediated illness that causes headaches, fever, severe joint and muscle pain, swollen glands (lymphadenopathy), and rashes. Every year, 390 million people around the world suffer from it and ∼20 % die from cases that are left untreated. The virus is transmitted to humans by mosquito bites of infected Aedes species. When it gets into the body, its envelope protein attaches to the host cell surface receptor and initiates the viral infection cycle by the formation of a smooth coat with icosahedral symmetry. Due to its high mutation-prone nature and differences in protein sequences among serotypes, it is difficult to develop a stable vaccine suitable against all serotypes. In this study, a software-based vaccinology approach was used to design a vaccine construct against the envelope protein of all four subtypes of the dengue virus. This construct was designed by joining two epitopes of the protein. One epitope was taken from the envelope protein of DEN-2 which was conserved for DEN-1, DEN-2, and DEN-3, and another epitope from the same protein of DEN-4 serotype as the sequence composition of the protein is slightly different in these two groups of serotypes. Here, firstly 18 epitopes for dengue virus-1, 2, 3, and 12 epitopes for dengue virus-4 were retrieved based on the highest combined score of NetCTL server analysis of human leukocyte antigen (HLA) supertypes. Among them, the epitope MAILGDTAW has shown 100 % conservancy in strains of dengue virus 1, 2, 3, and KLRIKGMSY, TTAKEVALL, TPRSPSVEV, FRKGSSIGK, KTWLVHKQW have shown 100 % conservancy in dengue virus 4. In population coverage analysis, MAILGDTAW has shown 88.63 % and FRKGSSIGK has shown 90.72 % (highest among other DEN-4 epitopes) population coverage of the entire world population. These two epitopes along with their 15-mer extensions (MHCII binding peptides) were found as non-allergen and non-toxic. Finally, the two different 15-mer extensions (to get 100 % sequence conservancy) of the epitope MAILGDTAW and the 15-mer extension of the epitope FRKGSSIGK were put together using an EAAAK linker to construct the multi-epitope vaccine. In-vivo analysis of the proposed vaccine construct would aid in the development of a functional immune response that would eradicate dengue complications worldwide.

Coverage differences of Vladimir Putin’s image in the media of China, North Korea, Cuba, Vietnam and Laos

As one of the most powerful leaders in the world, there is a constant controversy about Vladimir Putin, brought to a climax by the war in 2022, which, in turn, provided the material for a comparative analysis of the news coverage of Vladimir Putin’s image as well as the strategies adopted when portraying Vladimir Putin’s image in People’s Daily from China, Rodong Sinmun from North Korea, Granma from Cuba, Báo Nhân Dân from Vietnam and Pasaxon from Laos. By calculating QAP correlation of five news network agendas and analyzing intermedia agenda-setting by Granger causality test and refining Vladimir Putin’s image as well as the strategies of each newspaper employed to shape Vladimir Putin’s image, this study found Vladimir Putin’s image was constructed rather positive in most of the five countries and there were also differences in the coverage strategies used by the media in these five countries.

Integrated Disaster Risk Management in the Education Process in Schools

Research in educational disaster mitigation has developed and is widely carried out, especially in schools. This research explores good practices based on the experience of teachers in Indonesia regarding the possibility of integrating DRR (Disaster Risk Reduction) education into the learning process in schools. This study used research and development (R and D) methods with the APPED model (preliminary analysis and research, design, production, evaluation and dissemination), which was carried out for two years. In particular, this paper reports the results of the first year’s research with research activities including: (i) analysis and preliminary research and (ii) design. In the initial analysis and research stages, the research team carried out several activities, including analysis of material coverage, learning outcomes, and learning activities through literature review and document analysis, combined with case studies and FGD (Focus Group Discussion) involving 87 teachers in Yogyakarta, Malang, and Ciamis. Furthermore, the results of the activities in the second stage, (Design), are in the form of an analysis of the needs of students in DRR (Disaster Risk Reduction) education based on Ecosystem-based Disaster Risk Reduction (Eco-DRR). Studies reveal that DRR (Disaster Risk Reduction) education has the potential to be integrated into educational activities in schools. Practically, the main components of DRR (Disaster Risk Reduction) education include: coverage of materials, learning outcomes, and learning activities. The research results also show that the integrated interdisciplinary curriculum model has the potential to be adopted in the implementation of DRR (Disaster Risk Reduction) education, through intra-curricular, extra-curricular and co-curricular learning activities. This finding has implications for the need for teacher involvement in the next research stage, where production, evaluation, and dissemination processes are carried out. Good practices that have been carried out by teachers have become one of the important instruments in implementing integrated disaster risk management with the educational process in schools . Further, important to consider the integration of science and indigenous knowledge (ISIK) in implementing DRR education in schools, through intra-curricular, extra-curricular and co-curricular. The disaster and mitigation knowledge were empirical, genuine, participatory and interactive, within the localities context. Schools can be good agents for dissemination of the ISIK perspective in disaster and mitigation studies. Although the relation between scientific and indigenous knowledge is proposed by the participants, but theoretically and practically needed follow-up studies, especially to reduce the level of vulnerability.

Comprehensive ground coverage analysis of large-scale fixed-tilt bifacial photovoltaic plants

In the design of large-scale photovoltaic plants, decisions on array pitch and tilt play an essential role in life-cycle economics. These design issues have been studied extensively in traditional monofacial systems. However, bifacial systems, which are in increasing demand, are being studied and face challenges in system modeling, particularly in characterizing rear irradiance. Studies considering bifacial panels in plant layouts are recent and must be extensive. Existing studies are based on computationally intensive software and are limited to specific configurations. This study presents the development and validation of an analytical model of a multirow bifacial photovoltaic plant against Bifacial Radiance and DUET ray-tracing software. Comprehensive ground coverage and array tilt analyses are carried out for all ranges of configuration parameters (clearance height, albedo, collector length, bifaciality, or yield loss) and latitudes of up to 60° using this model. The results of extensive simulations were used to train the artificial neural networks. These mathematical architectures allow easy and fast execution of the proposed model with a slight accuracy loss and are provided in the supplementary material. In-depth analysis and developed tools will facilitate decision-making to obtain photovoltaic layouts more efficiently in terms of energy and economy for large-scale bifacial plants.

A rapid coverage analysis approach of reentry vehicles networking constellation based on predicted distance

To address the problems of low-precision and time-consuming coverage analysis of Reentry Vehicles Networking Constellation (RVNC), this paper proposes a rapid coverage analysis approach consisting of a coverage model of RVNC and a coverage analysis algorithm. In this approach, we first establish the coverage model of RVNC to obtain a coverage criterion used to judge whether a satellite can cover a target. Then, Predictive Distance Tracking Algorithm (PDTA) is proposed to quickly calculate RVNC coverage performances. The PDTA can adaptively adjust the time tracking step by predicting the distance between a target and a coverage area. Finally, the proposed approach is verified by computational experiments. The results show that the proposed approach is rapid, intuitive, and accurate, which makes it be suitable for RVNC and has wide application prospects.

Monochromatic wave equation reflection traveltime inversion

Wave equation reflection traveltime inversion (WRTI) is a fundamental method for interrogating the deep subsurface macrovelocity model. The time-domain WRTI calculates the gradient through the crosscorrelation of the source background and receiver scattered wavefields and the crosscorrelation of the source scattered and receiver background wavefields. During the backward propagation of the adjoint source, access to the source background and scattered snapshots of the entire propagation time is required. Because the source and receiver wavefields are extrapolated in opposite temporal directions, these source background and scattered wavefields are either stored in memory or reconstructed by additional wavefield extrapolation. This leads to a heavy memory burden and/or high computational cost. To address these challenges, we develop a new frequency-domain WRTI that is based on a monofrequency. By using the wavenumber coverage and gradient analyses, we prove that the monochromatic WRTI can produce comparable wavenumbers with time-domain and multifrequency-based WRTI. Our method directly stores monochromatic wavefields in memory because only one frequency is used for the gradient calculation. Therefore, our method significantly outperforms the conventional time-domain implementation in terms of memory requirement and computational cost. The accuracy of the monochromatic WRTI method is validated by gradient and result comparisons of several models with different complexities. Finally, we determine the effectiveness of our method by applying it to offshore streamer data.

Sippin’ on some sizzurp: a qualitative framing analysis of national opioid abuse coverage in Nigerian newspapers

ABSTRACT Using Entman’s framing theory, we explored primary news frames in Nigerian newspaper coverage of national opioid abuse. Results yielded 12 news frames: 5 causal frames (Poor governance, Trauma coping mechanism, The perfect trafficking hub, Corrosive culture, Performance boosters), 3 consequential frames (Nigeria as a failing state, Thriving Black Market demand, Uptick in criminal kinsmen: fraudsters and terrorists) and 4 solution frames (Hawkeyed pharmacovigilance, Policy power plays, Drug rehab health services, All hands on deck: strengthening societal values). These research insights represent one of few communication studies on African opioid abuse and offer cultural context for future health intervention strategies.