Coverage Analysis Research Articles

Fenomena Gerakan Indonesia Tanpa Pacaran Sebagai Kelompok Sub-Culture Aktivisme Keagamaan

Since its establishment in 2019, the Indonesia Without Dating Movement has been fervently campaigning against the perceived negative consequences of dating and early marriage, positioning it as an absolute solution. La Ode Munafar, the founder and leader, along with the followers of this movement, appear actively engaged in voicing their opinions on the prohibition of dating through social media. The methodology employed involves content analysis of social media publications and coverage from various online media outlets. Recent developments indicate the emergence of controversial subcultural activism within the Indonesia Without Dating Movement, demonstrating symptoms of religious activism. This research reveals several characteristics of subculture within the Indonesia Without Dating Movement, portraying it as a religious activism group. These characteristics include the diffusion network among movement members, a shared identity, the exchange of distinctive meanings, resistance, and marginalization.

LoRA Gateway Coverage and Capacity Analysis for Supporting Monitoring Passive Infrastructure Fiber Optic in Urban Area

In the era of digital transformation, telecommunications infrastructure has become the backbone of global connectivity. Optical Distribution Cabinet (ODC) is a crucial part of an optical network that distributes signals to various points in the network. Maintenance and monitoring of ODCs have become essential to ensure optimal availability and performance. However, conventional approaches are often expensive and difficult to implement. The objective of this study is to develop a LoRaWAN network with the purpose of determining the required number of gateways. Additionally, the research aims to devise an IoT-basedODC device monitoring system within the FTTH network, utilizing data from PT. Telkom Witel Bandung. The approach involves employing simulation techniques through the Atoll apps v 3.40. Multiple calculation stages are applied to expect RSSI and SINR parameters within an area spanning 188.96 km². The study employs a frequency of 920 MHz, a bandwidth of 125 kHz, and a spreading factor of 10. The data analysis includes RSSI and SINR signals. As a result of calculations and planning simulations, this study recommended the use of nine gateways and achieved an RSSI parameter of -70. 35 dBm and a SINR parameter of 17. 33 dBm.

Coverage Analysis Under Imperfect SIC for EH-Enabled UAV-NOMA Cellular Network in Finite Blocklength Framework

Coverage Analysis Under Imperfect SIC for EH-Enabled UAV-NOMA Cellular Network in Finite Blocklength Framework

ISAC-Enabled Beam Alignment for Terahertz Networks: Scheme Design and Coverage Analysis

ISAC-Enabled Beam Alignment for Terahertz Networks: Scheme Design and Coverage Analysis

Metal substrate engineering to modulate CO2 hydrogenation to methanol on inverse Zr3O6/CuPd catalysts.

It is well known that the performance of some key catalytic reactions has a strong dependence on metal catalyst surfaces. In the current work, this concept is further extended to the CuPd alloy-supported zirconium oxide inverse catalyst for CO2 hydrogenation to methanol. A combined DFT and microkinetic simulation study reveal that both the metal substrate surface and the precise exposed Cu or Pd metal atoms on the substrate have a pivotal influence on the catalytic mechanism and performance of the inverse catalyst for CO2 hydrogenation to methanol. Herein, CuPd(100), (111), and (110) surfaces with either Cu and Pd terminations have been examined, which provided five metal substrates as support for the inverse catalyst. Three different mechanisms, including the formate pathway, RWGS + CO-hydro pathway, and CO2 direct activation pathway, are explored under the same conditions; they take place at the interfacial sites between the metal alloy and oxide. The calculations indicated that the inverse catalyst with the CuPd(100) substrate demonstrates better performance than those with CuPd(110) and (111) for both formate and RWGS + CO-hydro mechanisms. Conversely, the reaction pathway is more sensitive to exposed atoms on the metal substrate. The best inverse catalyst, Zr3O6/CuPd(100) with either Cu or Pd terminations, demonstrated a methanol formation TOF above 0.30 site-1 s-1 and the selectivity was above 90% at 573 K, as evaluated from microkinetic simulation. The coverage analysis indicates the most populated species is HCOO*, which is consistent with experimental reports. Both kinetic and thermodynamics control steps are identified from DRC analysis for the best performing catalysts. Overall, the current study confirms the catalytic performance of the inverse Zr3O6/CuPd catalyst and demonstrates the tunable effects of the metal alloy substrate, which can facilitate effective optimization.

A refined ICD-10 diagnoses-based approach for retrospective analysis of potential palliative care need and coverage in claims data of deceased.

ICD-10-based approaches often provide the basis for retrospective estimation of potential palliative care need. Applying the ICD-10-based Murtagh et al. classification from 2014 (Murtagh classification), developed using mortality data, to administrative claims data leads to inconsistencies in estimating palliative care need. The aim of the study was to refine the classification for palliative care need estimation in deceased individuals with cancer and non-cancer diagnosis. A retrospective population-based study comparing Murtagh classification to a new ICD-10-based classification (revised by expert opinion) was conducted using outpatient and inpatient claims data, including billing codes for palliative care. Palliative care need was estimated for diagnoses groups and was contrasted with palliative care utilization rates in the last year of life. Our dataset included records of 417,405 individuals who deceased in 2016-2019. Out of individuals deceased in 2019 (n = 117,436), 81.4% had at least one diagnosis from the new classification, while 97.0% had at least one diagnosis from the Murtagh classification. Classification revision thus identified fewer individuals as potentially in need of palliative care. Among individuals with cancer, 70.7% (vs. 55.7% via Murtagh classification) received palliative care. In non-cancer subgroups, the utilization rate was considerably lower, with a maximum of 36.7% (vs. 33.7% via Murtagh classification) in 2019. Similar results were observed for the other years. Compared to the ICD10-based Murtagh classification, the revised ICD-10-based classification enables more realistic estimations if the cause of death is unavailable and reveals higher rates of palliative care coverage and differences especially in cancer versus non-cancer diseases. German Clinical Trials Register (DRKS00024133).

Karakteristike ugovora o zdravstvenom osiguranju

The problems of health care and its management are almost inseparable from the analysis of health care coverage, while comparable issues hardly ever arise in the analysis of life insurance. Perhaps, in one respect, the two types of coverage are similar: most demands for life and health insurance spring from individuals as isolated entities, not as groups - members of organizations. In other respects, the two types of coverage bear little resemblance to each other. The subject of this paper is health insurance, and the goal of the paper is to point out the importance of this type of insurance, socially speaking. The dramatic rise in the cost of providing health care that accompanied the shifting burden has placed the issues of health care and health insurance coverage at the forefront of organizations concerns.

Vaccination coverage survey by social stratum in children up to 24 months of age in Londrina, Paraná, Brazil, between 2021 and 2022.

To analyze vaccination coverage according to social strata in children up to 24 months old, living in the municipality of Londrina (PR), Brazil. This was a population-based survey conducted between 2021 and 2022, in which vaccination coverage and sociodemographic aspects of mothers and families were evaluated using Pearson's chi-square test. In a sample of 456 children, complete vaccination coverage varied according to social strata, being 36.0% (95%CI 26.8;57.8); in stratum A; 59.5% (95%CI 26.1;86); in stratum B; 66.2% (95%CI 51.7;78.1); in stratum C; and 70.0% (95%CI 56.1;81.0) in stratum D. The analysis of vaccination coverage indicated that social stratum A is at highest risk for vaccine-preventable diseases. The results of the study showed low full vaccination coverage in children up to 24 months of age in Londrina, being higher in the less financially advantaged social stratum, compared to the most advantaged. The results found can support the qualification of the immunization program and enable, based on planning and ongoing health education, the definition of unique strategies to improve vaccination coverage. Future perspectives point to the importance of carrying out investigations into the challenges inherent to vaccination, as well as qualitative and quantitative research addressing health professionals to better understand the data.

“Media’s Influence on Enhancing Water Use Efficiency and Climate Control: Community Capacity Building in Kenya”

In recent years, the global community has witnessed the increasing impacts of climate change, resulting in various environmental challenges, including water scarcity (Stringer et al., 2021). Developing countries like Kenya are particularly vulnerable to these changes due to their heavy reliance on agriculture and limited access to water resources (Maingey et al., 2022). Addressing these challenges requires a multifaceted approach involving not only scientific and technological solutions but also community engagement and capacity building. One vital aspect of this approach is the role of media in disseminating information and fostering awareness among communities. Media platforms, including television, radio, print, and digital media, possess the unique ability to reach a broad audience and convey messages that can drive positive behavior change (Bara et al., 2021). In Kenya, where access to information is growing but remains uneven, the media can be a powerful tool to educate and empower communities regarding water use efficiency and climate control (Wutich et al., 2023). This study seeks to explore the significant role that media plays in facilitating community capacity building for enhancing water use efficiency and promoting climate control in Kenya. By examining how media channels communicate information, influence public perception, and stimulate local engagement, this research aims to uncover the various strategies employed by media to drive positive changes in water management practices and climate-conscious behaviors. Through an in-depth analysis of media campaigns, coverage, and communication strategies, this study will contribute to a better understanding of how media can effectively shape perceptions, attitudes, and actions related to water conservation and climate resilience (Ali et al., 2023). The insights gained from this research could inform policy recommendations and practical interventions that leverage the power of media for sustainable community development in Kenya and potentially serve as a model for other regions facing similar challenges.

Sport or Politics? A Corpus-Based Critical Discourse Analysis of Chinese and American Media Coverage of the Paris 2024 Olympic Games

Sport or Politics? A Corpus-Based Critical Discourse Analysis of Chinese and American Media Coverage of the Paris 2024 Olympic Games

Comparing AI Media and Traditional Media: A Frame Analysis of NewsGPT and Reuters Coverage of the 2024 Olympic Game

Comparing AI Media and Traditional Media: A Frame Analysis of NewsGPT and Reuters Coverage of the 2024 Olympic Game

Analysis of Mobile and Internet Network Coverage: Propagation of Electromagnetic Waves and Concept of Digital Divide in Burundi

Analysis of Mobile and Internet Network Coverage: Propagation of Electromagnetic Waves and Concept of Digital Divide in Burundi

Exploring glycated sites in human serum albumin: impact of sample processing techniques on detection and analysis.

Glycation and the subsequent formation of advanced glycation end products (AGEs) disrupt and impair the physiological functions of proteins. This study presents a comprehensive glycation site mapping of human serum albumin (HSA) utilizing liquid chromatography-tandem mass spectrometry (LC-MS/MS). Both in vitro glycation experiments and patient samples were investigated, exploring various enzymes, processing techniques, and their impacts on glycation site detection. A pilot study was conducted, analyzing sixteen serum samples, which spanned from healthy individuals to severe diabetic patients (with HbA1c values ranging from 5.7% to 18.1%). The aim was to comprehend the progression of glycation on various sites of HSA with increasing levels of glycation. Their glycated albumin levels (GA) spanned from 19.7% to 62.3%. Trypsin-mediated proteolytic digestion unveiled 12 glycation sites through direct in-solution digestion of whole serum. However, isolating albumin from serum enabled the identification of a higher number of glycation sites in each sample compared to direct serum digestion. Boronate affinity chromatography facilitated the segregation of less glycated albumin (LGA) from the more glycated albumin (MGA) fraction. Subsequent proteolytic digestion of both LGA and MGA samples revealed similar glycation sites. The MGA fraction exhibited a greater number of identified glycation sites, thereby elucidating which sites are particularly prone to glycation in highly glycated albumin samples. Changes in relative glycation levels were noted in the tryptic digests of albumin samples following the sample enrichment steps, as opposed to direct in-solution digestion of whole serum. Two enzymes, trypsin and Glu-C, were evaluated for efficacy in sequence coverage and glycation site analysis of HSA, with trypsin demonstrating superior efficiency over Glu-C.

Coverage and Data Rate Analysis for a Novel Cell-Sweeping-Based RAN Deployment

Adequate and uniform network coverage provision is one of the main objectives of cellular service providers. Additionally, the densification of cells exacerbates coverage and service provision challenges, particularly at the cell-edges. In this paper, we present a new approach of cell-sweeping-based Base Stations (BSs) deployments in cellular Radio Access Networks (RANs) where the coverage is improved by enhancing the cell-edge performance. In essence, the concept of cell-sweeping rotates/sweeps the sectors of a site in azimuth continuously/discretely resulting in near-uniform distribution of the signal-to-interference-plus-noise ratio (SINR) around the sweeping site. This paper investigates the proposed concept analytically by deriving expressions for the PDF/CDF of SINR and achievable rate; and with the help of system-level simulations, it shows that the proposed concept can provide throughput gains of up to 125% at the cell-edge. Then, using a link-budget analysis, it is shown that the maximum allowable path loss (MAPL) increases by 2.1 dB to 4.1 dB corresponding to the gains in wideband SINR and post-equalized SINR, respectively. This increase in MAPL can be translated to cell-radius/area with the help of the Okumura-Hata propagation model and results in cell-coverage area enhancement by 30% to 66% in a Typical Urban cell deployment scenario.

Coverage and Rate Analysis for Distributed RISs-Assisted mmWave Communications

Coverage and Rate Analysis for Distributed RISs-Assisted mmWave Communications

High-throughput single-cell mass spectrometry enables metabolic network analysis by resolving phospholipid C[double bond, length as m-dash]C isomers.

Single-cell mass spectrometry (MS) is an essential technology for sensitive and multiplexed analysis of metabolites and lipids for cell phenotyping and pathway studies. However, the structural elucidation of lipids from single cells remains a challenge, especially in the high-throughput scenario. Technically, there is a contradiction between the inadequate sample amount (i.e. a single cell, 0.5-20 pL) for replicate or multiple analysis, on the one hand, and the high metabolite coverage and multidimensional structure analysis that needs to be performed for each single cell, on the other hand. Here, we have developed a high-throughput single-cell MS platform that can perform both lipid profiling and lipid carbon-carbon double bond (C[double bond, length as m-dash]C) location isomer resolution analysis, aided by C[double bond, length as m-dash]C activation in unsaturated lipids by the Paternò-Büchi (PB) reaction and tandem MS, termed single-cell structural lipidomics analysis. The method can achieve a single-cell analysis throughput of 51 cells per minute. A total of 145 lipids were structurally characterized at the subclass level, of which the relative abundance of 17 isomeric lipids differing in the location of C[double bond, length as m-dash]C from 5 lipid precursors was determined. While cell-to-cell variations in MS1-based lipid profiling can be large, an advantage of quantifying lipid C[double bond, length as m-dash]C location isomers is the significantly improved quantitation accuracy. For example, the relative standard deviations (RSDs) of the relative amounts of PC 34:1 C[double bond, length as m-dash]C position isomers in MDA-MB-468 cells are half smaller than those measured for PC 34:1 as a whole by MS1 abundance profiling. Taken together, the developed method can be effectively used for in-depth structural lipid metabolism network analysis by high-throughput analysis of 142 MDA-MB-468 human breast cancer cells.

Critical Discourse Analysis of Japanese Mainstream Media Reports on China’s Aid to Africa: Based on Corpus Data

This paper conducts a comprehensive quantitative and qualitative analysis of coverage on China’s aid to Africa by the mainstream Japanese media, Asahi Shimbun, using corpus linguistics and Fairclough’s critical discourse analysis model. The study collected relevant news articles from Asahi Shimbun published between 1984 and 2023. Using the timeline of the coverage as a framework, it carried out statistical analyses, including word frequency analysis, co-occurrence analysis, and correlation analysis, accompanied by visualization techniques. By integrating historical context, the study explores the linguistic features and evolving focal points across different periods of reporting. Through analyzing word frequency, keyword indexing, collocations, and grammatical structures, the study reveals the underlying meaning of the discourse, exposing Japan’s ideology and discourse power structure within the media’s narrative. This research offers new perspectives and methodologies for exploring the interplay between media, international relations, and development aid.

2024年三八妇女节报道的话语分析

2024年三八妇女节报道的话语分析

Advanced vaccinomic, immunoinformatic, and molecular modeling strategies for designing Multi- epitope vaccines against the Enterobacter cloacae complex.

The increasing and ongoing issue of antibiotic resistance in bacteria is of huge concern globally, mainly to healthcare facilities. It is now crucial to develop a vaccine for therapeutic and preventive purposes against the bacterial species causing hospital-based infections. Among the many antibiotic- resistant bacterial pathogens, the Enterobacter cloacae complex (ECC) including six species, E. Colcae, E. absuriae, E. kobie, E. hormaechei, E. ludwigii, and E. nimipressuralis, are dangerous to public health and may worsen the situation. Vaccination plays a vital role in the prevention of infections and infectious diseases. This research highlighted the construction and design of a multi-epitope vaccine for the E. cloacae complex by retrieving their complete sequenced proteome. The retrieved proteome was assessed to opt for potential vaccine candidates using immunoinformatic tools. Both B and T-cell epitopes were predicted in order to create both humoral and cellular immunity and further scrutinized for antigenicity, allergenicity, water solubility, and toxicity analysis. The final potential epitopes were subjected to population coverage analysis. Major histocompatibility complex (MHC) class combined, and MHC Class I and II world population coverage was obtained as 99.74%, and 98.55% respectively while a combined 81.81% was covered. A multi-epitope peptide-based vaccine construct consisting of the adjuvant, epitopes, and linkers was subjected to the ProtParam tool to calculate its physiochemical properties. The total amino acids were 236, the molecular weight was 27.64kd, and the vaccine construct was stable with an instability index of 27.01. The Grand Average of Hydropathy (GRAVY) (hydrophilicity) value obtained was -0.659, being more negative and depicting the hydrophilic character. It was non-allergen antigenic with an antigenicity of 0.8913. The vaccine construct was further validated for binding efficacy with immune cell receptors MHC-I, MHC-II, and Toll-like receptor (TLR)-4. The molecular docking results depict that the designed vaccine has good binding potency with immune receptors crucial for antigen presentation and processing. Among the Vaccine-MHC-I, Vaccine-MHC-II, and Vaccine-TLR-4 complexes, the best-docked poses were identified based on their lowest binding energy scores of -886.8, -995.6, and -883.6, respectively. Overall, we observed that the designed vaccine construct can evoke a proper immune response and the construct could help experimental researchers in the formulation of a vaccine against the targeted pathogens.

NanoHLA: A Method for Human Leukocyte Antigen Class I Genes Typing Without Error Correction Based on Nanopore Sequencing Data.

Human leukocyte antigen (HLA) typing is of great importance in clinical applications such as organ transplantation, blood transfusion, disease diagnosis and treatment, and forensic analysis. In recent years, nanopore sequencing technology has emerged as a rapid and cost-effective option for HLA typing. However, due to the principles and data characteristics of nanopore sequencing, there was a scarcity of robust and generalizable bioinformatics tools for its downstream analysis, posing a significant challenge in deciphering the thousands of HLA alleles present in the human population. To address this challenge, we developed NanoHLA as a tool for high-resolution typing of HLA class I genes without error correction based on nanopore sequencing. The method integrated the concepts of HLA type coverage analysis and the data conversion techniques employed in Nano2NGS, which was characterized by applying nanopore sequencing data to NGS-liked data analysis pipelines. In validation with public nanopore sequencing datasets, NanoHLA showed an overall concordance rate of 84.34% for HLA-A, HLA-B, and HLA-C, and demonstrated superior performance in comparison to existing tools such as HLA-LA. NanoHLA provides tools and solutions for use in HLA typing related fields, and look forward to further expanding the application of nanopore sequencing technology in both research and clinical settings. The code is available at https://github.com/langjidong/NanoHLA .