bluuebunny/crossref_metadata_2025_split huggingface dataset:
Holistic Systematic Review on Methodologies of Assessing Effectiveness Cybersecurity Awareness Program
Authors: Garba Adamu Abdullahi , S Maheyzah Md. , othman Sitihajar 
Published: May 2024

Abstract

Cyber-threat is now a global concern to all internet users, as the rate of crimes has tremendously changed from physical to virtual. Implementing awareness programs at various organization levels is required, Also there is a need to know the methodologies used in measuring cybersecurity awareness program effectiveness. The paper aims to review and explore the previous methodologies applied, target organizations, and application of Machine Learning techniques in the assessment of awareness programs. Systematic literature review techniques were used to conduct the search using pre-defined keywords and published papers from 2006 to 2019, the information was used in providing an answer to the research questions. The finding shows questionnaire was widely used as a method of evaluating cybersecurity awareness and also organizations implement more awareness programs, the gap found is the lack of using ML in assessing the effectiveness of design, implemented cybersecurity awareness programs.
Termiticidal Activity of Bio-oil from Hydrothermal Carbonization of Tobacco Stem against the Asian Subterranean Termite Coptotermes gestroi (Blattodea: Rhinotermitidae)
Authors: Romano Arlene D. , Acda Menandro N. 
Published: May 2024

Abstract

Bio-oil from hydrothermal carbonization of tobacco (Nicotinia tabacum L) stem using Virginia and Native varieties from the Philippines were investigated for its termiticidal activity against the Asian subterranean termite Coptotermes gestroi Wasmann (Blattodea: Rhinotermitidae). Results of laboratory no-choice and choice feeding tests indicated that bio-oil from Virginia and Native tobacco stem was toxic or not palatable to C. gestroi at 5% concentration resulting in high mortality after 3-5 days of exposure and prevented termite feeding on treated filter paper. At lower concentration from 0.5% to 1%, termite mortality decreased significantly but remained relatively high. Bio-oil from the Native tobacco appeared to be more potent than that from Virginia at the 0.1 to 0.5% concentration. Choice feeding test suggested that C. gestroi exhibited anti-feeding behavior on filter papers treated with 5% or more bio-oil as shown by non-consumption of treated material. In all concentrations tested it indicated that tobacco bio-oil was not repellent to C. gestroi. GC-MS analyses of the chromatogram identified the chemical components of waste Virginia and Native tobacco stem bio-oil to be mostly organic acids and aromatic compound which reportedly have a wide spectrum of activity against various insect pests.
Anatomical and physiological changes in Vicia faba L. under Lead stress
Authors: Benouis Sliman , Bouziani El-Hadj , Neggaz Nour Elhouda 
Published: May 2024

Abstract

Lead toxicity is a serious problem affecting plant structure and water regime. This study investigated the anatomical and physiological responses of Vicia faba L. to lead (Pb) stress, focusing on plant growth in lead-contaminated substrates at concentrations of 0, 500, and 1000 ppm over a 30-day period. Anatomical parameters including the number of vascular bundles (VB), distance between bundles (dVB) (µm), metaxylem diameter (Mxd) (µm), and thickness of the outer wall of epidermal cells (tWEC) (µm) were measured alongside physiological parameters such as RWC, stomatal conductance, and osmotic potential. Lead accumulation in tissues with certain growth parameters were also measured. The findings showed significant sensitivity of metaxylem diameter to Pb stress, especially at 1000 ppm, indicating changes in hydraulic conductivity. Lead stress also increased the thickness of epidermal cell walls at 1000 ppm, showing adaptive structural changes due to lead toxicity. While RWC had minor variations, osmotic potential decreased notably at 1000 ppm Pb, indicating disruptions in water regulation. Stomatal conductance was also affected by Pb stress, highlighting physiological alterations. The study also found significant lead accumulation in plant tissues, indicating the plant's ability to absorb and retain lead under stress. These results contribute to our understanding of the complex responses of Vicia faba L. to lead stress, including a decrease in plant growth, and emphasize the intricate mechanisms involved in plant-metal interactions and their implications for plant health and environmental sustainability
Cost-effective catalytic epoxide ring-opening reactions using Zr-based MOF MIP-202: a comparative study with UiO-66-(CO 2 H) 2
Authors: Bagherzadeh Mojtaba , chegeni mohsen , bayrami arshad , amini mojtaba 
Published: May 2024

Abstract

This study еxplorеd thе catalytic pеrformancе of two robust zirconium-basеd mеtal-organic framеworks (MOFs), MIP-202(Zr) and UiO-66-(CO2H)2 in thе ring-opening of еpoxidеs using alcohols and aminеs as nucleophilic reagents. Thе MOFs wеrе charactеrizеd by tеchniquеs such as FT-IR, PXRD, FE-SEM, and EDX. Through systematic optimization of key parameters (catalyst amount, time, temperature, solvent), MIP-202(Zr) achieved 99% styrene oxide conversion in 25 minutes with methanol at room temperature using 5 mg catalyst. In contrast, UiO-66-(CO2H)2 required drastically harsher conditions of 120 minutes, 60°C, and four times the catalyst loading to reach 98% conversion. A similar trend was observed for ring-opening with aniline –MIP-202(Zr) gave 93% conversion in one hour at room temperature, while UiO-66-(CO2H)2 needed two hours at 60°C for 95% conversion. The superior performance of MIP-202(Zr) likely stems from cooperative Brønsted/Lewis acid sites and higher proton conductivity enabling more efficient epoxide activation. Remarkably, MIP-202(Zr) maintained consistent activity over five recycles in the ring-opening of styrene oxide by methanol and over three recycles in the ring-opening of styrene oxide by aniline. Testing various epoxide substrates and nucleophiles revealed trends in reactivity governed by electronic and steric effects. The results provide useful insights into tuning Zr-MOF-based catalysts and highlight thе promisе of thе cost-еffеctivе and sustainablе MIP-202(Zr) for divеrsе еpoxidе ring-opеning rеactions on an industrial scalе.
Navigating Challenges and Triumphs:
Transforming Healthcare Landscapes in a Developing Country Through Robotic Thyroidectomy For Differentiated Thyroid Carcinoma
Authors: Agarwal Mudit , Singh Abhishek , Rai Shreya , RonakBhardwaj  , Deshpande Gitanjali 
Published: May 2024

Abstract

Purpose: This study aims to present our experience with robotic thyroidectomy for differentiated thyroid carcinoma via Modified BABA (Bilateral Axillo Breast Approach) and Retroauricular approach.
Methods: It is a retrospective observational single institution-based study comprising 19 patients who underwent robotic thyroid surgery for thyroid carcinoma between October 2018 and January 2022. All patients underwent robotic thyroidectomy via the da Vinci Xi Robotic surgical system.
Results: Nineteen patients underwent robotic thyroidectomy, and none of the patients needed conversion to open surgery. Nine patients (47.3%) underwent thyroidectomy by Modified BABA approach, whereas ten patients (52.7%) underwent Retroauricular thyroidectomy. In 10 patients, central compartment clearance was done (5 through Modified BABA and 5 through Retroauricular approach). Lateral neck nodes were addressed in 4 patients (1 through Modified BABA and 3 through Retroauricular). The median lymph node retrieval from the central compartment was six (2-15 nodes), and 51 nodes (22-108) from the lateral compartment. The median hospital stay was four days (2 to 6 days). None of the 19 patients had post-operative RLN palsy or any scar-related complaints /hypertrophic scars. The average PTH value post-op was 32.1 pg/ml (3.8-70.4 pg/ml).
Conclusion: Robotic thyroidectomy is superior to cosmesis and comparable to open surgery, given safety and most perioperative outcomes in carefully selected patients. However, it has the disadvantage of being associated with higher costs, which becomes a constraint in developing countries.
Buprenorphine/naloxone – One formulation that doesn’t fit all: A case report
Authors: Braun Hannan , Taylor Jessica , Axelrath Sarah 
Published: May 2024

Abstract

Background
Sublingual buprenorphine, approved for treatment of opioid use disorder since 2002, is most commonly available in co-formulation with naloxone. Naloxone is an opioid antagonist minimally absorbed when sublingual (SL) buprenorphine/naloxone is taken as prescribed; it is thought to reduce potential for misuse via intravenous administration. However, growing data and clinical experience demonstrate that previously accepted assumptions about the pharmacokinetics of these medications may not apply to all patients.
Case presentation
We present a patient whose adverse post-administration side effects on SL buprenorphine/naloxone resolved with transition to SL buprenorphine monoproduct.
Discussion
Naloxone can be detected in nearly all patients taking SL buprenorphine/naloxone, though with apparent variability in clinical effect. In a minority of patients, naloxone can contribute to adverse and potentially treatment-limiting side effects. Furthermore, the naloxone component is commonly misunderstood by patients and providers and can foster mistrust in the therapeutic relationship if providers are perceived to be withholding a more tolerable formulation. Prescribers should have a low threshold to offer buprenorphine alone when clinically appropriate.
Research on Small Object Defect DetectionAlgorithms Based on Deep Learning
Authors: Li Jing , Lu Yabiao , Li Muzi , Li Peijuan , Wang Rongdi , Qi Jiantao , Zuo Haiqiang 
Published: May 2024

Abstract

In order to improve the accuracy of industrial defect detection based on deep learning, the special defect data set IDEF (Industrial defect data set, IDEF) is constructed, and the defect data is enhanced by digital image processing and deep learning. After data enhancement, the accuracy of defect detection is improved by 0.55 percentage points. Aiming at the phenomenon that small target defects are easy to be missed by the model, a method of adding grid intersection points to the regression strategy of target detection network is proposed to increase the predicted defect benchmark. The experiment shows that this method improves the defect detection accuracy map (mean average precision) by 1.96%. Aiming at the problem of poor representation ability of small target defects, a scale weight loss function is proposed, which makes the model more sensitive to defects with smaller size and more thorough learning of small target defects. It is found that this method improves the accuracy of defect detection by 2.23%. Finally, based on the fcosv2 basic model, two small target defect detection strategies are used at the same time to improve the defect detection accuracy by 3.35%.
Cloud-based large-scale curation of medical imaging data using AI segmentation
Authors: Thiriveedhi Vamsi Krishna , Krishnaswamy Deepa , Clunie David , Pieper Steve , Kikinis Ron , Fedorov Andrey 
Published: May 2024

Abstract

Rapid advances in medical imaging Artificial Intelligence (AI) offer unprecedented opportunities for automatic analysis and extraction of data from large imaging collections. Computational demands of such modern AI tools may be difficult to satisfy with the capabilities available on premises. Cloud computing offers the promise of economical access and extreme scalability. Few studies examine the price/performance tradeoffs of using the cloud, in particular for medical image analysis tasks. We investigate the use of cloud-provisioned compute resources for AI-based curation of the National Lung Screening Trial (NLST) Computed Tomography (CT) images available from the National Cancer Institute (NCI) Imaging Data Commons (IDC). We evaluated NCI Cancer Research Data Commons (CRDC) Cloud Resources - Terra (FireCloud) and Seven Bridges-Cancer Genomics Cloud (SB-CGC) platforms - to perform automatic image segmentation with TotalSegmentator and pyradiomics feature extraction for a large cohort containing >126,000 CT volumes from >26,000 patients. Utilizing >21,000 Virtual Machines (VMs) over the course of the computation we completed analysis in under 9 hours, as compared to the estimated 522 days that would be needed on a single workstation. The total cost of utilizing the cloud for this analysis was $1,011.05. Our contributions include: 1) an evaluation of the numerous tradeoffs towards optimizing the use of cloud resources for large-scale image analysis; 2) CloudSegmentator, an open source reproducible implementation of the developed workflows, which can be reused and extended; 3) practical recommendations for utilizing the cloud for large-scale medical image computing tasks. We also share the results of the analysis: the total of 9,565,554 segmentations of the anatomic structures and the accompanying radiomics features in IDC as of release v18.
Dynamic range issues and image information content when visualizing seismic data
Authors: Dmitriev A. G. , Dmitrieva M. A. , Kovalev A. S. 
Published: May 2024

The purpose of this review is to discuss the problem of seismic data visualization in relation to human vision capabilities based on the seismic signal dynamic range assessment. The ways of increasing the information content and efficiency of visualization methods in terms of increasing their resolution are considered. The conducted analysis has shown that the dynamic range of seismic recordings exceeds the capabilities of the human eye by 2–3 orders of magnitude and the capabilities of technical visualization means by 4–5 orders of magnitude. Color vision models are considered on example of the most versatile hardware additive RGB color model. The model was chosen based on the idea of the human vision system as a set of photosensitive cones that register red, green and blue colors and the human brain, which processes and forms a color image in one’s consciousness. The relationships between monochrome and color images perceived by the human eye based on several types of sensitive receptors have been established. It is concluded that the use of a color image significantly expands information capabilities. Thus, 8 grey steps are enough for the monochrome method of information output, whereas the use of color devices allows to increase the number of steps up to 14. The methodology for solving this problem consists in the application of new technologies based on the use of large-scale and three-dimensional images providing a significant increase in the values of luminous flux, resolution and contrast based on the expansion of the dynamic range taking into consideration the limits of human vision.
Analisis Perbandingan Moodle dan Google Classroom Menggunakan Technology Acceptance Model
Authors: Santiadi Sherly , Majiah Arya Tri Putra , Ruis Nisa Deviani Agustin , Annabel Kathleen Felicia , Karnalim Oscar 
Published: May 2024

The study aims to analyze the comparison of student acceptance levels of the Learning Management System (LMS) which are Moodle and Google Classroom using the Technology Acceptance Model (TAM) in the West Java region, Indonesia. The results of this study show that there is a difference in the level of acceptance of the two LMSs but the difference is not very significant. Moodle appears to be slightly more effective in increasing student productivity and is more commonly used in West Java due to the sample of respondents who are mostly from the Faculty of Information Technology (FIT) at Maranatha Christian University. FIT students have largely adopted the Moodle LMS implemented into the Morning Platform (Maranatha Online Learning). With more complex features, Moodle meets the needs of more experienced users. On the other hand, Google Classroom is considered easier to use, especially for students who are new to the LMS. However, over a longer period of time, Moodle maintained a slight edge in terms of usability and user satisfaction. This research makes an important contribution in understanding the preferences and needs of university students in terms of LMS usage, especially in the West Java region.
La Cafein-finita. Gestión de recursos naturales finitos con gamificación.
Authors: Calpa O Jorge Eduardo , Alexander Aragón Ch Alexander 
Published: May 2024

Éste trabajo propone una aplicación en línea que permite simular un entorno de competencia empresarial con explotación de recursos naturales, involucrando diversas variables que puedan ser consideradas en el modelado del comportamiento de sistemas para facilitar a los participantes, el entendimiento de un sistema como conjunto de partes y sus relaciones, como un todo. La metodología de desarrollo consideró el concepto de gamificación, incorpora elementos propios de dicha estrategia didáctica; posteriormente se desarrolló el recurso digital empleando las herramientas de la plataforma Google Workspace para construir un entorno virtual; finalmente, se incorporó un instrumento psicológico para recabar información que permita validar el desempeño del recurso. En una primera implementación, se recopilaron datos de un grupo de estudiantes visitantes en la Universidad de Antioquia a partir de los cuales se revisaron y ajustaron los modelos matemáticos que condicionan el comportamiento del sistema simulado, de tal manera que el “caos” comience a visualizarse a partir de 7 períodos de juego en adelante; en la implementación del instrumento psicológico, se constató que para la mayoría, la actividad fue efectiva en cuanto al fomento del conocimiento teórico, en las habilidades tecnológicas, en la comunicación y el trabajo colaborativo, en el aprendizaje y ritmo propio.
Flood damage assessment for the Phan-Ca Lo River basin in Vinh Phuc Province, Vietnam
Authors: Phan Hung Manh , Tran Chau Kim , Vu Hue Thi Minh 
Published: May 2024

ABSTRACT

In this research, the authors aim to evaluate the damage caused by floods in Vinh Phuc Province. The study incorporates the construction of hydro-hydraulic models and the development of damage functions for the main elements at risk. In order to ensure the accuracy of the calculated results, the hydro-hydraulic models and damage curves are verified for their reasonableness. The outcomes of this study give us an overview of flood damage in the research area. It indicates that the potential level of flood damage is a matter of significant concern, with an annual damage estimate of approximately 6.9 million USD. The research also reveals the distribution of damage by sector and by space. According to the research findings, the greatest damage was in Vinh Tuong District, where most of the damage was caused by flooding of agricultural land. In contrast, residential buildings in the area suffered relatively little damage compared to agricultural land. This information is crucial for decision-makers to implement effective and targeted mitigation measures.
An analytical review on the integrated management of river resources throughNamami Gange
Authors: Balkrishna Acharya , Singh Sumit Kumar , Ghosh Sourav , Banerjee Srimoyee , Verma Sonam , Arya Vedpriya 
Published: May 2024

ABSTRACTThe Ganga basin is witnessing accelerated deterioration of agricultural fields, with severe soil erosion leading to nutrients leaching into the river, wreaking havoc on the river's ecosystems. Many Ganga River management plans have been implemented in the past, but a more coordinated and integrated effort that tries to implement basin management strategies with technology preparedness considered critical for the preservation of agricultural regions had been lacking. The Namami Gange Program (NGP) is a first of its kind integrated conservation mission pillared on sustainable water management policies and practices, launched in 2014. Unfortunately, scientific literature on its overall functioning and progress is almost non-existent. This review presents its overall functioning, critically analyses its associated components, and presents case studies, pilot studies, along with analytical critiques. An objective analytical evaluation of the NGP has been provided concluding with sectoral interventions. We have concluded that the ambitions for boosting energy production, irrigation, manufacturing, and expanding the river as an inland waterway interfere with the Ganga cleanup because they are both part of the growth strategy pushed by the administration.
Impact of coastal inundation due to rise in sea level: A case study of Surat City, India
Authors: Sahu Ramgopal T. , Mehta Darshan J. 
Published: May 2024

ABSTRACT

The urban population of the world houses almost 13% in low-elevation coastal zones (LECZ). Major cities with a population of more than five million, which account for almost two-thirds of the world's large cities, reside in low-elevation coastal zones. These areas house some of the most important socioeconomic activities, and they are also environmentally delicate. According to the IPCC 2007 report, there will be an 8–88 cm rise in sea level between 2000 and 2100 AD, which will have an unpredictable and massive impact on land up to 9 m elevation above MSL. This study discusses the rise in sea level, climate vulnerability, and future problems using elevation-based GIS analysis, accomplishing socioeconomic vulnerability and exposure. The statistics suggest that more than 26% of the population lies within a 9 m contour interval, whereas a 20 m contour accommodated 81% of the total population. In figures, it is estimated that over 1,632,200 people by 2011, which is expected to rise to 4,048,894 people by 2050, are exposed to 100-year flood events. Thus, the study clinched that a significant number of people in Surat confront flooding due to the extreme rise in water level during this period.
Warfare Nerve Agents and Paraoxonase-1 as a Potential Prophylactic
Therapy against Intoxication
Authors: Iyengar A.R. Satvik , Khandave Prakash Y. , Bzdrenga Janek , Nachon Florian , Brazzolotto Xavier , Pande Abhay H. 
Published: May 2024

Abstract:
Nerve agents are a class of lethal neurotoxic chemicals used in chemical warfare. In
this review, we have discussed a brief history of chemical warfare, followed by an exploration of
the historical context surrounding nerve agents. The article explores the classification of these
agents, their contemporary uses, their toxicity mechanisms, and the disadvantages of the current
treatment options for nerve agent poisoning. It then discusses the possible application of enzymes
as prophylactics against nerve agent poisoning, outlining the benefits and drawbacks of paraoxonase-
1. Finally, the current studies on paraoxonase-1 are reviewed, highlighting that several challenges
need to be addressed in the use of paraoxonase-1 in the actual field and that its potential as
a prophylactic antidote against nerve agent poisoning needs to be evaluated. The literature used in
this manuscript was searched using various electronic databases, such as PubMed, Google Scholar,
Web of Science, Elsevier, Springer, ACS, Google Patent, and books using the keywords chemical
warfare agent, butyrylcholinesterase, enzyme, nerve agent, prophylactic, and paraoxonase-1,
with the time scale for the analysis of articles between 1960 to 2023. The study has suggested that
concerted efforts by researchers and agencies must be made to develop effective countermeasures
against NA poisoning and that paraoxonase-1 has suitable properties for the development of efficient
prophylaxis against NA poisoning.