bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Novel Prognostic Panel for Colorectal Cancer Based on Cancer Functional Status, and Validation of STC2 as a Promising Biomarker
Authors: Liu Xin , Wei Nianjin , Chen Hongsheng
Published: July 2024

Background: Improving the clinical outcome of colorectal cancer (CRC) patients remains a major challenge. This study aimed to develop a new predictive classifier for CRC and to examine its relationship with the immune environment and therapeutic response. Methods: A comprehensive bioinformatics analysis was applied to develop a risk panel comprised of cancer function status-related genes (CFSRGs). This panel was evaluated for prognostic utility by Area Under the Curve (AUC) and Kaplan-Meier (KM) analyses. Differences between high- and low-risk groups were subsequently investigated using multi-omics data. Immunohistochemistry (IHC), quantitative real-time polymerase chain reaction (qRT-PCR), and cell phenotype assays were also employed to ascertain the clinical value of STC2 expression. Results: Significant differences were observed in the survival rate between high- and low-risk groups defined by our 7-CFSRG panel, both in internal and external CRC patient cohorts. The AUC for prediction of survival at 1-, 3- and 5-years was satisfactory in all cohorts. Detailed analysis revealed that tumor mutation burden, drug sensitivity, and pathological stage were closely associated with the risk score. Elevated expression of STC2 in CRC tissues relative to normal paraneoplastic tissues was associated with less favorable patient outcomes. qRT-PCR experiments confirmed that STC2 expression was significantly upregulated in several CRC cell lines (HCT116, SW480, and LOVO) compared to a normal intestinal epithelial cell line (NCM460). The proliferation, migration, and invasion of CRC cells were all significantly inhibited by knockdown of STC2. Conclusions: Our 7-CFSRG panel is a promising classifier for assessing the prognosis of CRC patients. Moreover, the targeting of STC2 may provide a novel therapeutic approach for improving patient outcomes.
Efficacy of N-acetylcysteine for Prevention of Postoperative Atrial Fibrillation Following Coronary Artery Bypass Grafting: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Hanafy Dudy Arman , Willim Herick Alvenus , Suwatri Widya Trianita , Sani Alvin Ariyanto , Khouw Hengky , Susanti Eunike Ita , Sugisman
Published: July 2024

Background: As the prevalence of coronary artery disease rises, the demand for coronary artery bypass grafting (CABG) increases. A common complication after CABG is postoperative atrial fibrillation (POAF), which is linked to adverse clinical outcomes. N-acetylcysteine (NAC), an antioxidant, may mitigate oxidative stress and reduce the incidence of POAF. This meta-analysis aims to investigate the efficacy of NAC in preventing POAF after CABG. Methods: The meta-analysis was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We systematically searched multiple databases, including PubMed, Cochrane Library, ProQuest, and ScienceDirect, to identify relevant randomized controlled trials (RCTs). The intervention groups received perioperative NAC therapy, while the control groups received a placebo. The outcomes assessed were POAF incidence, all-cause mortality, and hospital length of stay (LOS). Review Manager 5.3 was used to conduct the meta-analysis. Results: Eleven RCTs involving 648 patients were included. The NAC group comprised 326 patients, while the control group comprised 322 patients. In the pooled analysis, patients in the NAC group had a significantly lower incidence of POAF (odds ratios (OR) = 0.57; 95% confidence intervals (CI) = 0.33 to 0.97; p = 0.04) and a shorter hospital LOS (weighted mean differences (WMD) = –0.66; 95% CI = –1.22 to –0.10; p = 0.02) compared to the control group. However, there was no significant difference in all-cause mortality. Conclusions: The perioperative administration of NAC can effectively reduce the incidence of POAF and hospital LOS in CABG patients. However, larger RCTs are needed to confirm these findings.
Prevalence and Risk Factors of Cardiovascular Autonomic Neuropathy in Individuals with Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis
Authors: Huang Xin , Bao Yun , Wang Jie , Tian Limin
Published: July 2024

Background: Cardiac autonomic neuropathy (CAN) is a severe complication of type 1 diabetes mellitus (T1DM). This meta-analysis aimed to synthesize relevant literature on the prevalence of CAN and its risk factors in individuals with T1DM. Methods: We screened relevant literature from databases based on predefined search criteria until June 28, 2022. Data extraction and quality assessment were conducted independently by two reviewers. A meta-analysis was conducted to determine the prevalence of CAN and its risk factors in individuals with T1DM using a random-effects model. A subgroup analysis was conducted to assess variations in CAN prevalence based on diabetes duration, diagnostic criteria, study quality, study design, and geographic region of the participants. Results: A total of 21 studies provided information on the prevalence of CAN, while 18 studies explored the potential risk factors for CAN. The overall estimated prevalence of CAN in individuals with T1DM was 25.8% (95% confidence interval (95% CI): 0.208–0.307), with no significant differences observed among the five regions. Additionally, smoking, lipid abnormalities, hypertension, duration of diabetes, increased body mass index, elevated glycated haemoglobin concentrations, and presence of chronic complications of diabetes, such as diabetic retinopathy, diabetic neuropathy, and diabetic nephropathy, were associated with a higher prevalence of CAN in individuals with diabetes. Conclusions: CAN is prevalent in individuals with T1DM worldwide. Efforts should be made to improve early screening and intervention for CAN, as well as to implement strategies aimed at improving or controlling early risk factors associated with CAN.
Description and Prognosis of Patients with Recovered Dilated Cardiomyopathy: A Retrospective Cohort Study
Authors: Li Pengda , Jia Cunhang , Sun Ning , Zhao Junyong , Wang Zelan , Luo Wenjian , Wang Zebi , Wu Shaofa , Chen Ling , Luo Xiaolin , Ou Shulin , Liu Xi , Qin Zhexue
Published: July 2024

Background: With the recent advances in the treatment of heart failure (HF), it is intriguing that a very small number of patients with dilated cardiomyopathy (DCM) have been observed as being fully recovered. However, knowledge of the progression and prognosis of patients with recovered DCM remains sparse. Herein, we conducted this study to investigate the clinical characteristics and prognosis of patients with recovered DCM. Methods: Consecutive patients with recovered DCM referred to our hospital between March 2009 and May 2021 were included. The recovered DCM patients were categorized into relapse and non-relapse groups. The primary endpoint was all-cause death, and the secondary endpoint was HF re-hospitalization during follow-up. Multivariate analyses were performed to identify predictors of relapse among recovered DCM patients. Kaplan–Meier analyses were used to assess the prognostic significance of relapse. Results: A comparatively large cohort of 122 recovered DCM patients from 10,029 DCM patients was analyzed. During a median follow-up duration of 53.5 months, the relapse rate among recovered DCM patients was 15.6% (19/122). Age (odds ratio, OR 1.079, 95% confidence interval, CI: 1.014–1.148; p = 0.017), systolic blood pressure (SBP) at diagnosis (OR 0.948, 95% CI: 0.908–0.990; p = 0.015) and changes in left ventricular ejection fraction from diagnosis to recovery (ΔLVEF) (OR 0.898, 95% CI: 0.825–0.978; p = 0.013) were identified as predictors of relapse. Furthermore, among 122 patients, 5 (4.1%) experienced death, and 12 (9.8%) underwent HF re-hospitalization. Four deaths occurred in the relapse group, with one in the non-relapse group. All deaths were attributed to cardiovascular events. The long-term prognosis of the relapse group was significantly worse compared to the non-relapse group by Kaplan–Meier analysis (p < 0.001 based on the log-rank test). Multivariate analyses significantly associated relapse with all-cause mortality in recovered DCM patients (hazard ratio, HR 7.738, 95% CI: 1.892–31.636; p = 0.004). Conclusions: Recovered DCM patients are at risk of relapse. Older age, lower SBP, and smaller ΔLVEF were independently associated with relapse in recovered DCM patients. Relapse after recovery was related to an unfavorable long-term prognosis.
Thrombosis of Bioprosthetic Aortic Valve: Is the Entire Arsenal Deployed?
Authors: Loardi Claudia Maria , Zanobini Marco , Vermes Emmanuelle , Mancini Maria Elisabetta , Bernard Anne , Tribouilloy Christophe
Published: July 2024

The proliferation of transcatheter aortic valve implantation has alerted clinicians to a specific type of prosthetic degeneration represented by thrombosis. The pathogenesis of this clinical or subclinical phenomenon, which can occur in up to 15% of both surgical and percutaneous procedures, is poorly understood, as is its potential impact on patient prognosis and long-term bioprosthesis durability. Based on this lack of knowledge about the real meaning and importance of bioprosthetic valve thrombosis, the aim of the present review is to draw the clinicians’ attention to its existence, starting from the description of predisposing factors that may require a closer follow-up in such categories of patients, to an in-depth overview of all available imaging modalities with their respective pros and cons. Finally, a glimpse into the future of technology and biomarker development is presented. The hope is to increase the rate of bioprosthetic diagnosis, especially of the subclinical one, in order to understand (thanks to a strict and prolonged follow-up) if it can only be considered as an incidental tomographic entity without significant clinical consequences, or, on the contrary, if it is associated with neurological events or accelerated bioprosthetic degeneration. Nevertheless, despite the technical advances of echocardiography and cardiac tomography in terms of accurate bioprosthesis thrombosis detection, several diagnostic and therapeutic issues remain unresolved, including possible prevention strategies, tailored treatment protocols, and follow-up modalities.
Analysis of Promotional Content on Marketplace Tokopedia and Bukalapak to Improve the Culture of Online Shopping
Authors: Tjahjawulan Indah , Syahnureza Teuku
Published: July 2024

The online marketplace is one of the most prominent players in the e-commerce business in Indonesia. Marketplace sites act as third parties in online transactions by providing places to sell, logistics, and payment facilities. The widespread use of digital platforms in Indonesian society has contributed to the growth of online marketplaces. From early observations of promotional designs on various online marketplaces, they show similarities in the concept of promise, which is content that conveys different moments that need to be celebrated by shopping online with repeated messages and high airing frequency. Then the question arises, why is there a similarity? So it needs to be explored further; what is the content of promotional design on various marketplaces in Indonesia? The promotional content is considered an effective way to encourage consumers to continue shopping, so marketplaces in Indonesia widely use it. The research focused on two leading marketplaces in Indonesia, Tokopedia and Bukalapak, using content analysis methods and comparative studies with digital data collection through Google's search engine facility to find the promotional patterns of the two marketplaces. The results showed similarities in promotional content, including messages, visualizations, and frequency intensity, proving that there is a semblance of content in promotional designs built to improve online shopping culture.
Representation of Cross-Cultural Relations in the Bali Agung Theater at Taman Safari & Marine Park Bali : A Discourse in Balinese Tourism Performing Arts
Authors: Gede Yoga Kharisma Pradana , Surya Wijaya Nyoman , Ketut Purnaya I Gusti
Published: July 2024

This article aims to understand and explain the discourse on cross-cultural relations in the Bali Agung Theater at Taman Safari & Marine Park Bali. The Bali Agung Theater at Taman Safari & Marine Park Bali is an innovative Balinese performance art for tourism purposes at Taman Safari & Marine Park Bali. As a Balinese tourism performing art, there is a representation of cross-cultural relations in performance scenes featuring typical Chinese arts. The narrative discourse of the Bali Agung Theater was developed by actors based on the folklore of traditional Balinese society. The main problems: 1) What are the forms of cross-cultural relations in the Bali Agung Theater at Taman Safari & Marine Park Bali?; 2) What is the discourse on cross-cultural relations in the Bali Agung Theater at Taman Safari & Marine Park Bali?. The cross-cultural discourse analysis in the Bali Agung Theater at Taman Safari and Marine Park Bali was completed using qualitative methods. Primary data was collected through observations at the Taman Safari and interviews with actors at the Bali Agung Theater. Data achievements are complemented by secondary data collection from literature studies. All data were analyzed using knowledge-power relations theory and structuration theory. The research results show that: 1) Taman Safari & Marine Park Bali displays discourse on cross-cultural relations through Balinese cultural acculturation at the Bali Agung Theatre. Cultural acculturation can be seen in art in the form of props and dance movements; 2) The discourse on cross-cultural relations in the Bali Agung Theater consists of cultural heritage discourse, educational discourse, and violence discourse. This theatrical discourse centers on Kang Ching Wei, King, and Dewi Danu.
Effect of dimension reduction with PCA and machine learning algorithms on diabetes diagnosis performance
Authors: Koca Yavuz Bahadir , Aktepe Elif
Published: July 2024

Diabetes, a long-term metabolic disorder, causes persistently high blood sugar and presents a significant global health challenge. Early diagnosis is of vital importance in mitigating the effects of diabetes. This study aims to investigate diabetes diagnosis and risk prediction using a comprehensive diabetes dataset created in 2023. The dataset contains clinical and anthropometric data of patients. Data simplification was successfully applied to clean unnecessary information and reduce data dimensionality. Additionally, methods like Principal Component Analysis were applied to decrease the number of variables in the dataset. These analyses rendered the dataset more manageable and improved its performance. In this study, a dataset encompassing health data of a total of 100,000 individuals was utilized. This dataset consists of 8 input features and 1 output feature. The primary objective is to determine the algorithm that exhibits the best performance for diabetes diagnosis. There was no missing data during the data preprocessing stage, and the necessary transformations were carried out successfully. Nine different machine learning algorithms were applied to the dataset in this study. Each algorithm employed various modelling approaches to evaluate its performance in diagnosing diabetes. The results demonstrate that machine learning models are successful in predicting the presence of diabetes and the risk of developing it in healthy individuals. Particularly, the random forest model provided superior results across all performance metrics. This study provides significant findings that can shed light on future research in diabetes diagnosis and risk prediction. Dimensionality reduction techniques have proven to be valuable in data analysis and have highlighted the potential to facilitate diabetes diagnosis, thereby enhancing the quality of life for patients.
Encrypted malware detection methodology without decryption using deep learning-based approaches
Authors: Singh Abhay Pratap , Singh Mahendra , Bhatia Karamjit , Pathak Heman
Published: July 2024

The encrypted or https traffic on Internet accounts for the safe and secure
communication between users and servers. However, cyber attackers are also exploiting https traffic to disguise their malignant activities. Detection of network threats in https traffic is a tiresome task for security experts owing to the convoluted nature of encrypted traffic on the web. Conventional detection techniques decrypt the network content, check it for threats, re-encrypt the network content, and then send it to the server. But this approach jeopardizes the secrecy of data and user. In recent time, deep learning (DL) has emerged as one of the most fruitful AI methods that diminishes the manual resolution of features to enhance classification accuracy. A DL based strategy is suggested for recognition of threat in encrypted communication without using decryption. The three DL algorithms, as used by the proposed approach are, multilayer perceptron (MLP), long short-term memory (LSTM) and 1-D convolutional neural network (1-D CNN), which are experimented on the CTU-
13 malware dataset containing flow-based attributes of network traffic. The outcome of the experiment exhibits that MLP based approach performs better in comparison to 1-D CNN and LSTM based ones and other existing approaches. Thus, the secrecy of the data is maintained and the capability of identifying threats in encrypted communication is augmented.
From the History of Development of Science and Higher Education in the South-Eastern Region of the Republic of Azerbaijan in 2003—2018
Authors: Melikov Emin
Published: July 2024

The article is dedicated to the history of development of science and higher education in the South-Eastern region of the Republic of Azerbaijan in 2003-2018. Reforms implemented in this direction in the country have yielded positive results in the south-eastern region of the republic. Lankaran State University has been renovated in accordance with modern standards, the quality of education has increased. Lankaran Regional Scientific Center of the Azerbaijan National Academy of Sciences has been established. The Lankaran Tea Branch of the Fruit and Tea Research Institute and the Lankaran Regional Experimental Station of the Azerbaijan Vegetable Research Institute have obtained high-quality vegetable seeds and tea varieties as a result of scientific research.
Stages of Development of Cattle Breeding in Kyrgyzstan and Ways of Its Improvement
Authors: Muratova Rakhima , Zhumakanov Kalysbek , Abdurasulov Abdugani
Published: July 2024

This article presents the results of a survey of cattle of the nomadic population of Kyrgyzstan, made by the Livestock Expedition of the Academy of Sciences in the summer of 1928. This study is organically connected with the research of previous years and represents a further stage in the study of the Kyrgyz cattle breed. The article presents the stages of improvement and the history of the creation of the Aulieatinsky, Alatau breed, Kyrgyz meat type and local Kyrgyz cattle, as well as a brief description of the existing breed of cattle in Kyrgyzstan.In Kyrgyzstan, as of January 1, 2021, the total number of cattle is 1 715 776, including 855 050 cows or 49,83% of the total number of cattle.
Comparing Cognitive Processes in Math Problem Solving Between Comics and Text: An fNIRS and Eye-tracking Study
Authors: Ahn Doyeon , Kim Hyemin , Lee Kwnag-Ho
Published: July 2024

This study aimed to determine if there are differences in students' mathematical problemsolving processes based on the method of problem presentation, using cognitive neuroscience as a basis. It particularly analyzed the differences between comics and text, which are variously used in textbooks. Elementary students in grades 5 and 6 solved two types of math problems presented in comics and text, and their eye movements and brain activity were measured using an eye tracker and fNIRS device. When the same problems were presented in both comics and text, neuroimaging results showed higher brain activation during comic-based problem-solving, though this difference was not statistically significant. Analysis of eye-tracking data revealed that the comic group had longer fixation durations compared to the text group, while the number of fixations was similar between the groups. These findings oppose concerns that educational comics might hinder active cognitive processes or distract students' attention. Based on these results, this study proposes strategies for using educational comics in mathematical problem-solving.
A Meta-Analysis of Data-Driven Learning (DDL) in EFL/ESL Settings
Authors: Yoon Kyung-Ho , Lee Dong Ju
Published: July 2024

This research is on the effect size (ES) of corpus-based data-driven learning (DDL) in EFL/ESL, which can show the effectiveness/efficiency of this particular instructional method relative to those of others. This meta-analysis methodology in instructed second language acquisition (ISLA) has been developed and established by Norris and Ortega (2000), Plonsky and Oswald (2014), etc. The initial search results in Education Resources Information Center (ERIC) reveal 5,165 research articles, but the final number is reduced to 46 (54 unique samples) after applying step-by-step inclusion criteria. The weighted mean ES (Hedges’s g) between the comparison and experimental groups is 1.11 (SE: 0.13), which is large. The weighted mean ES between the pre-tests and immediate post-tests is 1.81 (SE: 0.16), which is large, too. The delayed post-test analyses are also conducted. In addition, the present metaanalysis investigates the ESs influenced by the seven moderator variables (MVs). The abovementioned results as a whole indicate that the ES of corpus-based DDL in EFL/ESL is much larger than that of the overall ISLA, and DDL may have some specific MV subgroups where it is more effective/efficient. These results suggest that more detailed research be conducted on DDL which looks promising as a whole.
Novel N-state Commutative (Full) Involutions NOT Being Additions Over GF(2^k)
Authors: Lablans Peter
Published: July 2024

Applications of full commutative n-state involutions are ubiquitous in standard cryptographic operations in current encryption and hashing. The full involutions are generally implemented as bitwise XOR of words of k bits and may be generally described as additions over GF(2^k).
Novel n-state full involutions are described herein, including methods how to generate them. The novel n-state full involutions can NOT be described as additions over GF(2^k). Application of these n-state involutions creates a level of uncertainty for attackers and increases security of encryption and hashing when replacing conventional involutions.
Application of the Finite Lab-Transform (FLT) on these novel involutions maintains their self-reversing properties and further increases security. Examples of use of novel involutions in encryption (AES-GCM,) and hashing (SHA-256) are provided.
Identifying Collaborative Opportunities with Climate and Environmental Organizations
Authors: Faunalytics
Published: July 2024

Climate change and environmental degradation have harmful effects on the lives of humans and non-human animals alike; over one-third of global greenhouse gas emissions come from the food sector, and most of these emissions can be attributed to the animal agriculture industry. Aside from animal agriculture’s impacts on the climate and environment, there are various other areas of overlap between environmental issues and animal advocacy, including poaching, overfishing, and habitat degradation. This study sought to evaluate the potential for collaboration between organizations working in the animal protection space and those in the environmental movement. Focusing particularly on Brazil, China, and the U.S. due to their high potential for environmental and animal advocacy efforts alike, we used a combination of desk research and interviews with environmental organizations to identify areas of overlap between the two movements and to consider environmentalists’ perspectives about partnering with animal advocates. The study found that, of the eight organizations we interviewed, four were open to collaborating and four are already collaborating with animal advocacy organizations.
Research And Data As Tools In Advocates' Decision-Making
Authors: Faunalytics
Published: July 2024

While all animal advocacy organizations have clear mission statements, priorities, and tactics that guide both day-to-day activities and big-picture planning, groups vary in how they use data in their decision-making. There is a growing interest in the animal advocacy ecosystem across many focal areas in taking evidence-based actions and having a research foundation for statements and positions. However, some organizations hypothesize that research and data might not be seen as relevant or able to be integrated with these foundational commitments.The purpose of this study is to explore how animal advocacy organizations access, interpret, and use research, data, and other forms of evidence in their work. The research project included primary data collection through interviews and thematic analysis of the interview transcripts. Participants were 20 staff members of animal advocacy organizations around the world, all of which include farmed animals in their mandate.
Review of “Hijacked: How Neoliberalism Turned the Work Ethic Against Workers and How We Can Take It Back” by Elizabeth Anderson
Authors: Suarez Joel
Published: July 2024

Review of “Hijacked: How Neoliberalism Turned the Work Ethic Against Workers and How We Can Take It Back” by Elizabeth Anderson.
Demand-responsive research support to the Foreign, Commonwealth and Development Office during the 2023 Nigerian elections: an evaluation using outcome harvesting
Authors: Achillini Harry , Burge Richard
Published: July 2024

Background: Various parts of the public sector in the UK and elsewhere benefit from access to demand-responsive research services designed to aid decision-making. Before and during the Nigerian elections in 2023, staff at the UK’s Foreign, Commonwealth and Development Office (FCDO) received such support. This was designed to help staff navigate a wide range of fast-moving issues and unprecedent events surrounding the election, such as disruption of traditional election dynamics.Objectives: This evaluation aims to identify the outcomes of demand-responsive research support prior to and during the 2023 elections. It explores the sustainability of identified outcomes as well as the factors that enabled or constrained effectiveness.Methods: This evaluation uses an adapted outcome harvesting approach. Key project documents are reviewed, and semi-structured interviews are conducted with nine project stakeholders. Interviewed stakeholders include both users of the research and stakeholders who contributed to the design or delivery of the intervention. An analytical framework grounded in behavioural science is used to organise findings.Results: The study identifies several instances in which the research informed FCDO thinking and decision-making around the elections, including in areas such as communications and security planning. The research team’s responsiveness, their expertise and perceived independence enabled positive outcomes. Regular engagement between research producers and research users was another important enabler. Outcomes were largely short-term, however, and effects may have been greater had support been provided earlier in FCDO’s planning processes.Conclusions: The evaluation suggests that demand-responsive research can inform public sector decision-making even in fast-moving contexts. Sustained changes in research use are only likely to occur when explicitly targeted by the intervention. The depth and diversity of research teams’ expertise, their willingness to engage in genuine co-design and discussion with research users and the timeliness of outputs are important moderators of effectiveness.
¿Hay una relación entre la ciudad y la violencia? Análisis exploratorio para las Zonas Metropolitanas de Hidalgo, México
Authors: Ruiz Alan Suah Islas
Published: July 2024

El texto discute la relación entre el fenómeno de la urbanización de las ciudades, y la violencia a través del indicador de incidencia delictiva que registra el INEGI, para las 3 zonas metropolitanas de Hidalgo (Pachuca, Tula y Tulancingo). Se ofrece una explicación de dicha relación mediante el concepto de necrópolis; una estructura socioespacial que genera las condiciones para el surgimiento de las violencias. Los resultados confirman el vínculo a partir de un ejercicio de correlación, el cual muestra el carácter recíproco de ambas variables, dando lugar a la urbanización como causa y efecto de la violencia en las metrópolis.
Review of “Scarcity: A History from the Origins of Capitalism to the Climate Crisis” by Fredrik Albritton Jonsson and Carl Wennerlind
Authors: Banzhaf H. Spencer
Published: July 2024

Review of “Scarcity: A History from the Origins of Capitalism to the Climate Crisis” by Fredrik Albritton Jonsson and Carl Wennerlind.
Examining the Antimicrobial Capabilities and Methods for Preparing Core-Shell Laser-Synthesized CdS@Cu Nanoparticles
Authors: Anza Luma hafedh abed , Neamah Abdulwahid Sahib
Published: July 2024

The core-shell structure has good structural, optical, and electrical properties that make it useful for lighting devices and medical uses. According to this study, laser ablation in liquid makes CdS and Cu target nanoparticles. It was looked at how the core-shell method changed laser ablation and the properties of CdS@Cu NP. At 1064 nm and 480 mJ, Nd:YAG laser waves cut through CdS and Cu nanoparticles in water, which are the core and shell, respectively. The structure features showed that CdS was being made, which improved the crystallinity of laser ablation. The clumping of particles was slowed down by creating cores or shells. Plasmon absorption peaks were seen in UV-VIS spectroscopy, X-ray diffraction, Field Emission Scanning Electron Microscopy (FESEM), and Atomic Force Microscopy (AFM). According to XRD, the CdS@Cu phase was shaped like a cube. Clusters of spherical particles were about 60 nm in size in the FESEM. The synthesis was successful because the AFM showed the atomic makeup, a surface roughness of 2.397 nm (RMS) and 1.936 nm (Ra), and an average diameter of 14.16 nm. The ROS Reactive Oxygen Species production by CdS@Cu NPs stopped the growth of Escherichia coli, Staphylococcus aureus, Candida, and Pseudomonas aeruginosa. Creating a new chemical with special physical qualities that stops the growth of many types of bacteria effectively. It is possible to use this chemical in many different ways in health. This shows how versatile they are in fighting different kinds of germs and improving health and society.
Analisis Sikap Dan Perilaku Konsumen Dalam Pembelian Beras di Wilayah Urban Kota Pekanbaru
Authors: Yusri Jum'atri , Rahmadani Sarmila , Septya Fanny , Pebrian Sispa
Published: July 2024

This research aims to analyze consumer attitudes towards rice attributes through the level of importance and confidence in the performance of these attributes. This research was conducted in the urban area of Pekanbaru City with a sample size of 100 households. The analysis used is Fishbein multi-attribute attitude analysis and cartesian diagrams. The rice attributes used in this research are price, quality, aroma, cleanliness, rice texture and variations in packaging size (especially for packaged rice consumers). Research results show that the attitudes of packaged and bulk rice consumers are positive towards each rice attribute. For packaged rice consumers, the quality and cleanliness attributes of packaged rice are the attributes most considered when purchasing packaged rice. Meanwhile, for bulk rice consumers, the quality and price attributes of bulk rice are the attributes most considered when buying bulk rice.
Analisis Ketersediaan Buah Durian (Durio Zibethinus) Di Kota Kendari
Authors: Rifaldi Rifaldi , Limi Muhammad Aswar , Slamet Agustono
Published: July 2024

This research aims to determine the availability of durian fruit in Kendari City. This research was carried out in Kendari City from June 2023 to August 2023. The population in this research was all durian traders in Kendari City with a total of 31 people, so the entire population was used as a sample. The sampling method used in probability research uses saturated sampling or census techniques. This research uses analytical tools using the Economic Order Quantity (EOQ) model, the formula for calculating EOQ with the following approach, Safety Stock, Reorder Point, Total Inventory Cost. The research results show that the availability of durian fruit in Kendari City is that the average order of durian fruit from durian traders in Kendari City is 1,817.10 kg/month, with storage costs of IDR 1,578.49/kg of durian fruit. The optimal quantity of inventory orders is 325.50 kg/month, with an ordering cost of IDR 72,638,871/month.
नेपालको सार्वजनिक प्रशासनसम्बन्धी नीति तर्जुमामा अनुसन्धानको प्रयोग {Use of research in policy formulation on public administration in Nepal}
Authors: उपाध्याय Upadhyay हरि प्रसाद Hari Prasad
Published: July 2024

नेपालमा सार्वजनिक प्रशासनसम्बन्धी नीति तर्जुमा गर्दा अनुसन्धानलाई आधार नबनाउनाले तत्कालका समस्याहरु समाधान गर्ने तर दीर्घकालीन रूपमा थप समस्या आउने गरेको देखिन्छ। प्रस्तुत लेखमा सार्वजनिक सेवाका कर्मचारीहरूका लागि ल्याइएको सावधिक जीवन बीमा र योगदानमा आधारित निवृत्तभरणका बारेमा विश्लेषण गरिएको छ। नागरिक लगानी कोषमार्फत वि.सं. २०६३ सालदेखि निजामती कर्मचारीहरूका लागि कार्यान्वयनमा ल्याइए तापनि उक्त सावधिक जीवन बीमा पुन: वि.सं. २०७५ सालदेखि मात्र राष्ट्रिय बीमा संस्थानमार्फत कार्यान्वयनमा आएपछि देखा परेका समस्याहरूको विश्लेषण गरिएको छ। साथै निजामती कर्मचारी, नेपाली सेना, नेपाल प्रहरी, सशस्त्र प्रहरी बल नेपाल लगायत कर्मचारीका लागि लक्षित वि.सं. २०७५ देखि कार्यान्वयनमा ल्याइएको योगदानमा आधारित निवृत्तभरण कोषका लागि अपुग रकमका कारण छुट्टै निवृत्तभरण कोषको स्थापना नभएपछि थप रकम दिनुपर्ने व्यवस्था गर्दा पनि  निवृत्तभरण तथा उपदानमा नेपाल सरकारको आर्थिक दायित्व घट्ने देखिंदैन।
Foreign Trade as a major aspect of National Security: Does it apply to Nepal?
Authors: Sharma Lila Prasad
Published: July 2024

National security encompasses safeguarding a state in every aspect-from protecting fundamental values, democratic principles, and societal well-being to ensuring the security of citizens and the integrity of borders. It involves defending territory, maintaining stable economic relationships globally, preserving the functioning of governance institutions, and securing national secrets. National security is intertwined with concepts like national interest, power, and stability. Economic security, which entails having sufficient financial and other resources to live comfortably now and in the future, is a crucial component. It includes job stability, financial sufficiency, and preparedness for unexpected expenses. Without economic security, other forms of security are incomplete. This article explores the empirical concept of national security and its dependency on economic status, with a particular focus on trade.
A Review on Blockchain for Fintech using Zero Trust Architecture
Authors: Singh Avinash , Pareek Vikas , Sharma Ashish
Published: July 2024

Financial Technology (FinTech) has sparked widespread interest and is fast spreading. As a result of its continual growth, new terminology in this domain has been introduced. The name 'FinTech' is one such example. This term covers a wide range of practices that are repeatedly used in the financial technology industry. This processes were typically accomplished in careers or organizations to supply required services through the use of information technology-based applications. The word covers a wide range of delicate subjects, including security, privacy, threats, cyberattacks, and others. Several cutting-edge technologies, including those associated with a mobile embedded system, mobile networks, mobile cloud computing, big data, data analytics techniques, and cloud computing, among others, must be mutually integrated for FinTech to thrive. To be approved by its users, this new technology must overcome serious security and privacy flaws. This research gives a thorough analysis of FinTech by discussing the present as well as expected confidentiality and safety problems facing the financial sector to protect FinTech. Finally, it examines potential obstacles to ensuring financial technology application security and privacy.
The Influence of Civil Society Organisations on Political Decision-Making in Iraqi Kurdistan
Authors: Jamal Mohammed Ameen Hussein  , Nori Abdulwahed Jalal
Published: July 2024

The significance of civil society in any given society cannot be overstated, as it safeguards individuals' rights in various spheres of life, including the political realm. Iraqi Kurdistan's civil society encompasses various groups that influence the legislative, executive, judiciary, and political parties. The influence and consequences of civil societies vary depending on the geographical and organisational context. However, while civil society in Iraqi Kurdistan saw significant growth after 2003 and has a strong influence on political decisions, its involvement in political decision-making needs to be more to reach the required threshold. The present research employs historical and descriptive methodologies to showcase the influence of civil society organisations (CSOs) on political determinations in Iraqi Kurdistan (IK). This article examines the efficacy of CSOs in influencing political decision-making. It also identifies the obstacles that impede civil society's participation in this process by evaluating their effects on political parties and the government.
Using geodetic data to optimize the distribution of solar and wind energy installations
Authors: Lubishtani Milot , Bajrami Lubishtani Fitore
Published: July 2024

This study was aimed at identifying the optimal locations for solar and wind power plants in the Republic of Kosovo using geodetic parameters and evaluation criteria. The study used global publicly available data, including an elevation model, geographic coordinates, a land cover database, and information on solar radiation and wind characteristics, which were processed in GRASS GIS software. The analytic hierarchy process was used to calculate the weights of the criteria, which provided an integrated assessment of the suitability of the territories. The study found that 61.8% of the territory of the Republic of Kosovo is suitable for utilizing sunlight, indicating the country’s significant potential for solar energy production. However, in the case of wind energy installations, the study found that only 32.5% of the territory could be considered optimal for solar power plants. This difference in percentages demonstrates the importance of considering many factors in the planning and construction of energy installations to ensure their stable and efficient operation. The study also confirmed that the F1 model, which uses all the criteria with their respective weights, provides the most reliable results for determining the optimal locations for energy installations. Sensitivity analysis showed that this model was the most effective in classifying suitable locations compared to other rasters such as F2 and F3. This confirms the importance of taking into account various parameters and their impact on the selection of optimal locations for power plants. The results open up possibilities for optimizing the use of solar and wind potential in the Republic of Kosovo, confirming the possibility of using geodetic data and geoinformation data to identify optimal locations for energy installations
Maternal-Infant Triad of Cardiovascular Health: Pregnancy, Breastfeeding and Public Policies
Authors: Blandón-Renteria Leany
Published: July 2024

Since I decided to work in cardiovascular health, I see with concern that cardiovascular disease continues to be the number one killer in the world and that its prevalence and incidence are increasing every day. Analyzing the literature, health services, and government education programs, I observe that we are making a mistake: we only focus on diagnosis and disease and not on effective prevention. And when prevention activities are carried out, they are focused on action and separating the importance of collective health, the social sphere and local reality. As Rose said, "Case-focused epidemiology identifies individual susceptibility, but may be unable to identify underlying causes of incidence."
Application of AI on Fractional Flow Reserve (FFR) Determining the Requirement of Angioplasty and Stenting
Authors: Camm N John
Published: July 2024

Artificial Intelligence (AI) has the potential to greatly improve the field of cardiovascular medicine, particularly in the determination of the need for angioplasty and stenting in patients with coronary artery disease. Fractional Flow Reserve (FFR), a commonly used method for assessing the severity of stenosis in the coronary arteries, is often subjective and subject to inter-observer variability. AI algorithms can be integrated with medical imaging to provide a more objective and quantitative analysis of FFR, reducing the variability in FFR determination and improving diagnostic accuracy. The benefits of using AI in FFR analysis include improved patient outcomes, better patient care, and reduced healthcare costs. AI algorithms can provide more accurate and consistent assessments of stenosis severity, leading to improved diagnoses and treatments for coronary artery disease. In addition, AI can improve the efficiency of the healthcare system by reducing the need for repeated tests or procedures due to inconsistent results. The future outlook for AI in FFR analysis is extremely promising. With further advancements in AI technology, it is likely that AI algorithms will become an increasingly important tool in the diagnosis and treatment of coronary artery disease. AI algorithms may also be integrated with other medical imaging modalities, such as CT scans or MRIs, to provide a more comprehensive assessment of a patient's cardiovascular health.AI has the potential to greatly improve the accuracy and efficiency of FFR analysis in determining the need for angioplasty and stenting in patients with coronary artery disease. The benefits of AI in this field include improved patient outcomes, better patient care, and reduced healthcare costs. The future outlook for AI in FFR analysis is extremely promising, and further advancements in AI technology are likely to drive continued progress in this field.
Safety, Efficacy, Feasibility of Trans Radial Approach compared with Transfemoral Approach in Patients Undergoing Coronary Catheterization
Authors: Sandio Aubin
Published: July 2024

Background: Percutaneous Coronary Intervention has been done traditionally through Transfemoral route. Trans Radial route is coming up in the practice. We compared Trans Radial with Transfemoral accesses for ease of operability, time of procedure, complications, and failure rates through a cross sectional study. Objectives: To evaluate the safety, efficacy, feasibility and procedural variables in Trans radial approach compared with the Transfemoral Approach in patients undergoing coronary catheterization. Methods: A total of 180 patients with both chronic and acute coronary syndromes were enrolled in this study , 140cases with Radial , 28 of whom were crossed to Femoral access(hence 112 Radials with 108 Right Radial and 4 Left Radial)and 68 cases with Femoral access. Results: Procedural time between Trans Radial and Transfemoral accesses were similar (17.39±10.33 vs 19.68±16.62 minutes p 0.36) respectively while among Femoral crossover group was higher (33.50±20.30 minutes p0.01). Fluoroscopy time was (5.51±4.70 in Trans Radial Vs. 7.18 ±7.65 minutes in Transfemoralp 0.07) were similar in both groups. Post procedure access site complications seen in (9% in Trans Radial compared to 7.35% in Transfemoral P 0.048), Access site Hematoma being the most common one (6.25% in Trans Radial vs 4.4% in Transfemoral), Non-flow limiting dissections occurred in (0.89% in Trans Radial VS 1.4% Transfemoral), Radial artery perforation occurred in 1.78%,1.4% of patients in Femoral group had Femoral artery perforation and had major bleeding. Conclusion: The overall local complications were lower in Transfemoral access, except for major bleeding which is still a big concern. both vascular Access techniques should not be considered opposite or mutually exclusive, but rather provide the Interventionist a wide spectrum of the therapeutic options.
Generalized Varicella Zoster Virus Infection with Pseudomembranous Tracheobronchitis following a High-Risk Kidney Transplant Protocol
Authors: Fjellbirkeland L.
Published: July 2024

Kidney transplant recipients are susceptible to infections. We present a middle-aged woman who underwent a high-risk immunosuppressive treatment protocol due to a pre-transplant immunization. Six weeks after transplantation she developed severe respiratory failure and endotracheal intubation was required. Bronchoscopy revealed extensive endobronchial membranes, and the lavage fluid tested positive for Pseudomonas aeruginosa. After repeated bronchoscopic removal of membranes, she developed a generalized vesicular rash, positive for Varicella zoster virus, later also identified in the bronchial fluid. After 34 days on mechanical ventilation, she was successfully decannulated and could be discharged from hospital three months later, although still in need of a nasogastric tube for feeding, with a functioning kidney graft. This report underscores the significance of herpes viruses as potential contributors to severe respiratory infections in organ transplant recipients, alongside highlighting the atypical manifestations of bacterial infections.
Navigating Recurrent Acute In-Stent-thrombosis: Insights from a Single Admission Case Study
Authors: Egbe Antoine
Published: July 2024

However, only 48 hours later the patient started complaining of chest pain again. EKG showed new ischemic changes and a high sensitivity troponin of 5000. He was taken to the cath lab. LHC once again showed in-stent re-stenosis of the previously stented LAD and mid-ramus intermedius. He underwent balloon angioplasty to these stents. Post- LHC he was started on prasugrel and aspirin instead of the 2 previous left heart catheterizations when he was on clopidogrel and aspirin initially followed by ticagrelor and aspirin. In addition to the dual antiplatelet therapy, he was also started on a Factor X inhibitor, rivaroxaban 2.5mg bid. Our hypercoagulability investigations did not yield any positive results, however, we found out the patient was on testosterone replacement. This case is very unique in the fact that we had early re-stenosis of a drug-eluting stent and it did not only occur once, it occurred twice. One of the questions raised in this unique case is, when you have patients with early -restenosis of their stents, what is the preferred anti-platelet agent, and is a Factor Xa inhibitor indicated in this scenario? In the case of our patient, we went for prasugrel + aspirin + rivaroxaban and did not have any re-stenosis after that change to antiplatelet therapy.
A Case Study of Postural Orthostatic Tachycardia Syndrome (POTS) caused by Post-Acute Sequelae of Long COVID-19 during Pregnancy
Authors: Sharma Bharti
Published: July 2024

This is a clinical case report of an extremely unusual case of development of permanent Postural Orthostatic Tachycardia Syndrome (POTS) with orthostatic hypotension due to suffering from long COVID-19 during pregnancy. The case is unusual since the patient did not have indications of POTS during the first trimester of the pregnancy. At the start of the second trimester, she suffered from a severe case of SARS-CoV-2 infection and was hospitalized for the same. She had COVID-19 infection all through her pregnancy since she suffered from a long Covid-19 infection. Following her delivery and full recovery from the COVID-19 infection, she was diagnosed as having developed permanent POTS. At present, three years post her recovery from the long-term COVID-19 infection contracted during pregnancy, she continues to suffer from POTS despite being on medication.