bluuebunny/crossref_metadata_2025 huggingface dataset:
Systemic Thrombolysis of Acute Portal Venous System Thrombosis in Patients with Liver Cirrhosis: A Pilot Study
Authors: Soliman Samah , Ismail Ahmed Mohamed , Badawi Rehab , Elkhalawany Walaa
Published: April 2024

Background

The prevalence of Portal Vein Thrombosis (PVT) is highly variable at different stages of liver disease: in compensated patients 10%, in decompensated patients 17%, in acute decompensated cirrhosis 9%, and in post-liver transplantation patients 2-26%.

Aim

The aim of the study was to assess the efficacy and safety of systemic thrombolysis in acute portal vein thrombosis in patients with liver cirrhosis.

Methods

A total of 10 compensated cirrhotic patients with acute portal vein thrombosis were examined by abdominal ultrasonography with color Doppler and Contrast-enhanced computerized tomography. Continuous intravenous infusion of recombinant tissue plasminogen activator(r-tPA.) and Low molecular weight heparin (LMWH) was used to treat all patients for a maximum of 7 days. Patients were followed up for improvement of clinical symptoms and radiological by abdominal ultrasound with color Doppler and contrast-enhanced computerized tomography.

Results

The regimen of therapy was found to be well-tolerated by all the patients. At the end of the seven days, six patients (60%) had full recanalization of the portal vein, while three had partial recanalization (30%) and no recanalization in only one patient (10%).

Conclusion

The preliminary data indicate that systemic thrombolytic therapy combined with low molecular weight heparin for the treatment of PVT appears to be safe and effective over a few days with no clinically significant side effects.
Can Triglycerides-HDL-C Ratio, HOMA-IR, ApoB, Non-HDL Cholesterol, and Free Cholesterol be Laboratory-Associated Flags of Female Coronary Atherosclerosis Regardless of Being Diabetic?
Authors: Teixeira Leonor Fernandes , Bidu Nadielle Silva , Mendes da Silva Alysson Luiz , Carvalho da Conceição Gildásio , Brustolim Daniele , Junior Roque Aras , Couto Ricardo David
Published: April 2024

Aim

The study aimed to evaluate biomarkers, ratios, and indexes as flags of coronary obstructions in women with established coronary atherosclerotic disease regardless of diabetes.

Methods

A cross-sectional study was conducted on 42 confirmed atherosclerotic coronary female patients, stratified into diabetic or not and scheduled for angioplasty or coronary graft bypass surgery. Blood samples were collected immediately before coronary intervention for laboratory determinations, such as glycemia, HbA1c, insulin, HDL-C, PON-1, free cholesterol, LDL-C, Apo A-1, Apo B, and TG.

Results

In diabetic patients, insulin was positively correlated with triglycerides (p < 0.0108; r = 0.2009), apo B (p < 0.0006; r = 0.3737), non-HDL cholesterol (p < 0.0084; r = 0.2156), and free cholesterol (p < 0.0084; r = 0.3251). Applying a linear regression model, insulin from diabetic patients showed an association with glycemia, triglycerides, and HOMA-IR (p < 0.001, R2 = 0.9868), but in non-diabetics, the association was only found between insulin and HOMA-IR (p = 0.002, R2 = 0.9031). On the other hand, using triglycerides as a dependent variable, its association has been found in both groups, but only with HOMA-IR (diabetics: p = 0.006, R2 = 0.2504; non-diabetics: p = 0.014, R2 = 0.4697). Also, the TG/HDL-C ratio was higher than 2.5 in 90% of diabetics and 83.33% of non-diabetic patients.

Conclusion

The high prevalence of females with a TG/HDL-C ratio above 2.5, the association among insulin, HOMA-IR, and TG/HDL-C, and correlations with apoB, non-HDL-C, and free cholesterol, should be evaluated as flags of female precocious coronary atherosclerosis.
[Cu(dimethylbpy)2Cl]PF6 Complex as an Antibacterial Agent
Authors: Satarzadeh Naghmeh , Asadipour Ali , Amirheidari Bagher
Published: April 2024

Background:

Antibiotic resistance is currently considered a major public health problem.
This subject underscores the critical need for novel and enhanced antibacterial agents with
a novel molecular structure and a new target to prevent cross-resistance. Copper exhibits antimicrobial
properties by disrupting bacterial cell membranes and interfering with cellular processes.
Copper complexes enhance these properties, offering improved stability and targeted
antibacterial activity. Their ability to release copper ions can gradually enhance efficacy while
minimizing toxicity. Therefore, investigating the antibacterial properties of new copper complexes
is of significance.

Methods:

In this study, the antibacterial activity of [Cu(dimethylbpy)2Cl]PF6 complex was examined
against several Gram-negative bacteria, Pseudomonas aeruginosa, Escherichia coli,
klebsiella pneumoniae, salmonella typhi and Gram-positive bacteria Staphylococcus aureus and
Micrococcus luteus by determining the minimum inhibitory concentration (MIC). The antibacterial
activity of [Cu(dimethylbpy)2Cl]PF6 complex and Gentamicin (as standard compound)
were determined using the microplate method. All concentrations were repeated three times. The
minimum inhibitory concentration was determined both using the unaided eye and absorbance
at 490 nm.

Results:

The [Cu(dimethylbpy)2Cl]PF6 complex showed higher antibacterial activity against
Gram-positive bacteria than Gram-negative bacteria. Among the assayed bacterial strains, the
complex was most effective against Micrococcus luteus and Staphylococcus aureus with MIC
values of 100 and 250 μM, respectively.

Conclusion:

This complex displayed antimicrobial potential against some bacterial strains.
Therefore, this complex may be used as an effective antibacterial agent in the treatment of infection
caused by some bacterial strains, but further research is needed.
Role Effectuated by Immune Microenvironment on the Prognosis of
COVID-19 Infected Asthmatic Patients and the Potentialities of Repurposing
Immunomodulatory Drugs
Authors: Roy Saheli , Kant Shashi , Das Saha Krishna
Published: April 2024

The WHO declared the Coronavirus Outbreak in 2019 (COVID-19), caused by the SARSCOV-
2 virus, as a pandemic on 11 March 2020. When the world was trying to contain the first wave
of the outbreak, the newer mutated strains emerged in the UK and South Africa, and accelerated
cases of daily infections in some parts of the globe ignited tribulations afresh. Though the mortality
percentage is much lower compared to previous SARS and MERS virus outbreaks, overactivated
innate immunity and "cytokine storms" were suspected to cause fatality in COVID-19. Innate immunity,
s one of the earliest components of host interaction with various infectious pathogens, may
play an integral part in cytokine storm generation and contribute to the disease's severity. The effect
of COVID-19 on asthma, which is a heterogeneous disease with variable phenotypes, is somewhat
contentious. This study aims to address whether pre-existing asthma will have an advantageous or
deleterious effect relative to non-asthmatic patients from an immunological perspective, particularly
innate immunity. Also, the prospective of immunomodulatory drugs in combating COV-2 infection
and disease advancement are highlighted in this review.
Rhizophagus irregularis and P Fertilization Induce Carica papaya Growth after the Acclimatization Phase
Authors: Hidalgo Manuel , Ramos Cynthia , Luis-Alaya Bernabé , Vera-Vega Miguel , Linares-Huapaya Susan , Pedro Juan , Lezama-Azencio Pedro , Chaman Mercedes
Published: April 2024

Carica papaya L. or “papaya” is a very important species in which many technological packages have been implemented, such as fertilization and inoculation with arbuscular mycorrhizal fungi (AMF). However, no studies have been conducted to evaluate the interaction between phosphorous (P) fertilization and AMF in in vitro-propagated papaya plantlets after the acclimatization phase. This study aimed to evaluate the effect of Rhizophagus irregularis and P on C. papaya growth. Papaya plants were propagated in vitro and received the treatments after taking root and being acclimatized for 15 days. The plants were inoculated with 0, 2, and 5 grams of R. irregularis and fertilized with 0, 30, and 60 ppm of P. Growth was evaluated after 45 days. All the analyzed shoot variables showed maximum growth when the plants were treated with 5 g of AMF and 60 ppm of P. Likewise, there was a significant increase in the number of leaves and leaf area index. In the root, the increase was higher in the fresh weight, but no statistical differences were found in its length. These results indicate that AMF and P are responsible for the increase in growth. Furthermore, the relatively high correlation between the percentage of mycorrhization and the other variables was not affected by the concentrations of P applied. The use of R. irregularis and P significantly increased the growth of C. papaya L. after the acclimatization phase.
Comparing Attitudes Toward Different Consent Mediums: Semistructured Qualitative Study
Authors: Doan Xengie , Rossi Arianna , Botes Marietjie , Selzer Annika
Published: April 2024

Background

As consent for data sharing evolves with the digital age, plain-text consent is not the only format in which information can be presented. However, designing a good consent form is highly challenging. The addition of graphics, video, and other mediums to use can vary widely in effectiveness; and improper use can be detrimental to users.

Objective

This study aims to explore the expectations and experiences of adults toward consent given in infographic, video, text, newsletter, and comic forms in a health data sharing scenario to better understand the appropriateness of different mediums and identify elements of each medium that most affect engagement with the content.

Methods

We designed mock consent forms in infographic, video, text, newsletter, and comic versions. Semistructured interviews were conducted with adults who were interviewed about their expectations for consent and were then shown each consent medium and asked about engaging elements across mediums, preferences for consent mediums, and the value of document quality criteria. We transcribed and qualitatively co-coded to identify themes and perform analyses.

Results

We interviewed 24 users and identified different thematic archetypes based on participant goals, such as the Trust Seeker, who considered their own understanding and trust in organizations when making decisions. The infographic was ranked first for enhancing understanding, prioritizing information, and maintaining the proper audience fit for serious consent in health data sharing scenarios. In addition, specific elements such as structure, step-by-step organization, and readability were preferred engaging elements.

Conclusions

We identified archetypes to better understand user needs and elements that can be targeted to enhance user engagement with consent forms; this can help inform the design of more effective consent in the future. Overall, preferences for mediums are highly contextual, and more research should be done.
The use of minimally invasive surgical procedures in complications of combat thoracic trauma
Authors: Sukhomlyn M.P.
Published: April 2024

Background. The incidence of chest injuries in the overall structure of combat surgical trauma is approximately 4 % in present-day military conflicts, and according to the data from Anti-Terrorist Operation/Joint Forces Operation in the Eastern Ukraine, it varies from 7.5 to 11.7 %. In case of penetrating chest injuries, the overall mortality reaches 10 %. Objective: to improve the treatment outcomes in chest injuries through the application of endovideosurgical technologies and local fibrinolytic therapy during the quaternary care in complications of combat thoracic trauma. Materials and methods. A clinical statistical analysis of the surgical outcomes was conducted in 103 victims with combat chest trauma, who received specialized thoracic surgical treatment for complications such as clotted hemothorax at the quaternary care level. The control group included 54 (52.4 %) casualties, and the experimental group included 49 (47.6 %). Results. According to the research findings, among the total number of chest injuries and traumas, lung injuries were the most common, accounting for 61.2 %. In the experimental group, lung injuries were identified in 27 cases. When analyzing the treatment of thoracic injuries and traumas in the control group, it was found that 21 (38.9 %) patients did not have sufficient pleural cavity drainage during the provision of primary medical and qualified care to eliminate hemo- and pneumothorax, and 33 (61.1 %) required various surgical procedures through thoracotomy accesses. Videothoracoscopy was performed in casualties with gunshot penetrating chest injuries, when metal fragments were located in the anterior mediastinum (between the sternum and ascending aorta) and posterior mediastinum (between the right main bronchus and esophagus, without damage to them). The removal of metal fragments from the mediastinum, sanitation, and drainage of the pleural cavity were performed. Among 26 casualties, who underwent pleural drainage, 4 patients have had unstable vacuum in the pleural cavity for three days. Conclusions. The implementation of the developed differentiated surgical approaches in the patients with chest injuries and clotted hemothorax contributed to a reduction in specific injury complications from 24.1 to 8.2 % and allowed for a decrease in the duration of hospital stay from 24 to 16 bed-days.
A case of surgical treatment of neck phlegmon after gunshot wound complicated by total posterior mediastinitis using laparoscopic surgical techniques
Authors: Makarov V.V. , Shipilov S.A. , Viun I.A. , Negoduyko V.V.
Published: April 2024

The purpose of this article is to demonstrate the peculiarities of diagnosis and staged surgical treatment for neck phlegmon after gunshot wound complicated by total posterior mediastinitis using laparoscopic surgical techniques. Inflammatory complications in neck injuries are a serious complication with a rapid course. An important diagnostic method is multislice computed tomography. The use of multislice computed tomography in the dynamics of the postoperative period allows for timely detection of further spread of the mediastinal inflammatory process. In the surgical treatment of neck phlegmon, it is necessary to open all fascial spaces widely and perform drainage of the upper mediastinum. Laparoscopic access is a minimal trauma with good visualization of the posterior mediastinum (middle and lower), which allows for a complete revision, sanitation, and drainage of the posterior mediastinum. To prevent a leakage of purulent contents from the mediastinal cavity into the abdominal cavity, safety drains in both hypocostal areas are placed in subdiaphragmatic spaces to the oesophageal opening.
Standards for providing emergency care at the prehospital and early hospital stages for patients with mechanical jaundice
Authors: Maksymenko M.V. , Susak Y.M. , Korotia M.V. , Volkovetsky V.V. , Havryliuk R.O.
Published: April 2024

Mechanical jaundice is a condition characterized by obstructive disorders in the biliary system, posing a diagnostic challenge that requires advanced visualization techniques and laboratory tests for accurate diagnosis. This article explores the role of biochemical markers, presents an analysis of the algorithm for laboratory diagnosis and visualization techniques in order to stratify patients with jaundice syndrome, and conduct timely and effective conservative treatment with further surgical interventions. A comprehensive diagnostic and therapeutic algorithm has been developed whose use by emergency physicians at the prehospital and early hospital stages will lead to a rapid and qualitative elimination of biliary obstruction, a reduction in the level of complications, and the achievement of optimal treatment outcomes for patients.
Response of mineral formulation towards different growth phases of arabica coffee in lowland
Authors: Wulanjari Distiana , Wijaya Ketut Anom , Rosyady Muhammad Ghufron , Suwardiyanto Suwardiyanto , Meliala Susan Barbara Patricia Sembiring , Setiyono Setiyono , Farisi Oria Alit
Published: April 2024

Arabica coffee cultivation is limited by altitude, which affects its production. Some farmers in Jember Regency are innovating to grow arabica coffee in the lowland, but the potential for leaf rust disease is quite high. Plant natural resistance can be enhanced by adding minerals formulation (containing silica, iodine, and calcium). This research aimed to determine which phase is more effective for applying mineral formulation that induces plant resistance. The formulation was tested on arabica coffee plants grown at the lowland (460 masl) in Jember Regency on 12 years old (y.o) mature and 1 y.o immature plants. One formulation was dissolved in 14 L of water and applied by foliar feeding. The effect was analyzed using two-way T-test of two samples assuming unequal variances at 95% confidence level to determine the differences. The analysis showed that the plants supplemented with the formulation could increase the variables that supported the natural resistance of plants (both mechanically and through the production of chemical compounds), such as polyphenol content, flavonoids, antioxidant activity, total dissolved protein, vitamin C, reducing sugar, lignin, cellulose, hemicellulose, and iodine content in the plant. The response of the formulation application showed that the most resistance variables was better in 1 y.o immature plants than in 12 y.o mature plants. The application of mineral formulation in immature phase will have a better impact on increasing natural resistance, and it has the potential to be used as a supplement for arabica coffee plants cultivated in the lowland.
Humic acid enriched with urea and NPK factory by-products promoted the growth and yield of Saccharum officinarum L.
Authors: Aziz Muhammad Abdul , Fitriyah Fauziatul , Wahyuni Sri , Arisandy Poppy , Fadila Hana , Siregar Valdi Muhamad Rafiansyah , Sulastri Sulastri , Luktyansyah Insyiah Meida , Priyono Priyono , Siswanto Siswanto
Published: April 2024

Nutrient uptake efficiency in sugarcane (Saccharum officinarum L.) must be increased using organic matter to restore soil fertility, resulting in greater productivity. The humic substance is a complex organic material that is excellent for overcoming this challenge. This study aimed to determine the effect of the humic acid enriched by liquid urea by-product (PSUC) and liquid NPK by-product (PSNC) application on the growth and productivity of sugarcane. The experiment was conducted from October 2021 to September 2022 on PT RNI plantation land, Jatitujuh, Majalengka. The research was arranged in a completely randomized (CRD) using two different humic acid product prototypes (PSUC and PSNC) with two evaluation times, a screening and a semi-pilot scale. Solid humic at a dose of 15 Kg ha⁻¹ was applied by mixing it with inorganic fertilizers, while liquid humic at a total dose of 15 L ha⁻¹ was applied by foliar spray technique at 1, 2, and 3 months after planting (MAP). The results showed that applying humic acid PSUC and PSNC enhanced sugarcane shoot growth, segmented stem number, and diameter. In addition, it could consistently promote sugarcane yields on the semi-pilot scale up to 19.18% and 24.26% under humic acid PSUC and PSNC treatments, respectively. Therefore, both in the screening and semi-pilot evaluation, the solid and liquid humic acid PSUC and PSNC applied simultaneously are potential organic materials to enhance sugarcane growth and yield.
Spiritual and Community-Based Mental Health Services for Children with Special Needs in Islamic Boarding School
Authors: Moordiningsih Moordiningsih , Kristiati Aspi , Supartini Ninik , Bayu Krisnadewara Pradinta , Astari Pritania , Agusno Mahar , Pradhana Mahar Hanindita Budhi
Published: April 2024

This study focuses on enhancing the care and educational support for children with special needs, particularly in rural areas where their families often lack adequate support. Recognizing the vital roles of communities and governments, the research seeks to create an inclusive education and mental health service model that incorporates spirituality and community engagement. A qualitative research method was used to achieve this, involving 19 managers and caregivers of children with special needs. Through interviews, participant observations, and three focus group discussions, data were collected using the free association technique and analyzed via thematic analysis. This analysis highlighted four key themes: the development of spiritual and community-based mental health services, the application of these approaches in service delivery, the care strategies for children with special needs, and the evaluation methods and psychological interventions rooted in indigenous psychology. The goal is to establish a mental health service model for rural settings that can be adapted for broader application in other regions.
Traditional bullying, cyberbullying, and subjective well-being post-COVID-19 in Indonesia
Authors: Borualogo Ihsana Sabriani , Saefudin Muhamad Arif , Wahyudi Hedi , Kusdiyati Sulisworo
Published: April 2024

Previous research has highlighted bullying as a significant issue in Indonesia, with a notable increase in cyberbullying among adolescents during the COVID-19 pandemic, adversely affecting their psychological well-being. However, there has been limited discussion on bullying in the post-COVID-19 era. This study has three aims. The first is to examine the subjective well-being (SWB) of children who have either experienced bullying or have not been bullied after the pandemic. The second is to assess the occurrence of both traditional bullying (involving siblings and at school) and cyberbullying in Indonesia following COVID-19. The third aim is to investigate the factors linked to these forms of bullying post-pandemic. The participants were middle school students (N = 943; 57.2% girls, 45.0% in grade 7). The Children's Worlds Subjective Well-Being Scale with five items (CW-SWBS5) was employed to assess children's SWB. Separate measures were utilized for traditional and cyberbullying. Six factors—family, school climate, personal satisfaction, friendships, safety, and social media usage—were analyzed as independent variables using linear regression to determine their impact on bullying forms. The structural equation model (SEM) was applied to evaluate how these bullying types affect SWB. The findings revealed that sibling bullying and cyberbullying significantly influenced children’s SWB, with girls reporting lower SWB scores than boys. Cyberbullying emerged as the most prevalent form of bullying post-pandemic. A positive school climate was found to shield children from bullying. Cummins' theory of well-being homeostasis was employed to interpret the results. This study also discussed implications for educators and parents.
Current Status, Problems and Suggestions of Import and Export of Goods Trade between China and Chile
Authors: Xuan Guo , Chen Yuan , Xu Jin
Published: April 2024

As one of the largest trading countries in the world, China continues to expand its trade relations with various countries, which has promoted the development of China-Chile trade in goods. Bilateral goods trade has consistently exhibited robust growth. This paper aims to delve into the current status of goods trade between China and Chile, analyze the existing challenges, and propose feasible recommendations. Through comprehensive data analysis, this research unveils the key features and challenges of their trade relationship, providing substantial support for enhancing cooperation.To begin with, this paper provides a detailed overview of the scale of China-Chile trade, emphasizing the mutually beneficial nature of their relationship. Simultaneously, it highlights the primary categories of Chinese exports to the Chilean market and Chile’s key import demands from China. Furthermore, an in-depth analysis of the major issues confronting the current merchandise trade between the two nations is conducted, encompassing concerns such as trade imbalances, product structures, and investment levels. Finally, recommendations are put forth to address these challenges, primarily focusing on enhancing policy coordination to promote bilateral investments, improving product structures to augment the value of traded goods, and optimizing investment structures to deepen bilateral cooperation.
Exploration of CDIO Graduate Education Mode Based on the Integration of Industry, Teaching, Competition and Research
Authors: ZHANG C. N. , YU Y.
Published: April 2024

Aiming at the current phenomenon of disconnection between theory and practice in graduate teaching, a CDIO graduate education model based on the integration of industry-teaching-race-research is proposed in the paper, which tries to integrate industry-teaching-race-research and improve students' innovation and application ability through various teaching modes. The focus of the reform is embodied in the school-enterprise cooperation, which closely associates the school and the enterprise through the project, and the two of them explore a new type of teaching mode at the teaching level, complete the restructuring of the teaching content, and implement the four levels of assessment for graduate students, namely, the basic knowledge of engineering, the individual ability, the interpersonal team ability, and the ability of the engineering system. Through the analysis of the survey results, the reform has achieved better results in the training of graduate students, which can effectively improve the quality of teaching.
Study on the Essence of the Legal Relationship Between Universities and College Students
Authors: Yang Zhaohui , Haixia Haixia
Published: April 2024

The legal relationship between universities and college students has been an important issue of concern in academic and judicial practice in recent years. The author believes that the essence of the relationship between universities and college students is a special legal relationship of rights and powers, which is different from strict administrative legal relationships, civil legal relationships, and is not a simple dual legal relationship. Universities should respect the status of college students as the subject of rights and safeguard their rights.
Surgery First en paciente clase II: presentación de un caso clínico
Authors: León Coutiño Lupita Carolina , Mondragón Mirón Diego Alejandro , Hernández Girón Fabiola
Published: April 2024

Introducción: Surgery First es un protocolo de cirugía ortognática que se realiza antes de que comience el tratamiento ortodóncico, logrando en una etapa temprana los objetivos faciales establecidos, además de que permite la reducción del tiempo de tratamiento. Objetivos: presentar el caso clínico de una paciente clase II tratada quirúrgicamente con la técnica Surgery First. Presentación del caso: paciente femenina de 16 años de edad, con un diagnóstico cefalométrico de clase II esquelética combinada, crecimiento neutro; diagnóstico dental de clase II molar y canina bilateral, apiñamiento leve, sobremordida horizontal de 10 milímetros y vertical de 5 milímetros, líneas medias no coincidentes; presencia de sintomatología articular dolorosa; facialmente perfil convexo y ángulo nasolabial obtuso. El tratamiento propuesto es la utilización de un plano desprogramador para resolver la sintomatología articular, y después realización de Surgery First; posteriormente, ortodoncia postquirúrgica, y finalmente retención. En la fase quirúrgica se realizó un avance mandibular con osteotomía sagital de rama bilateral y una mentoplastía de avance. La etapa ortodóncica se llevó acabo en doce meses, la retención utilizada fue bimaxilar. Conclusiones: los resultados fueron favorables para la mejora del perfil y armonía facial desde etapas tempranas, además de mejorar la oclusión, consiguiendo clase I molar y canina bilateral, coincidencia de líneas medias y una correcta sobremordida horizontal y vertical.
Inteligencia Artificial en comunicación: una revisión bibliométrica en Web of Science
Authors: Pérez Pérez Carlos , Perdomo Bexi
Published: April 2024

El incremento acelerado de la producción científica sobre Inteligencia Artificial requiere indagar en las tendencias y orientar a los investigadores hacia nuevos espacios de investigación. El objetivo del estudio fue analizar la producción científica sobre IA en el ámbito de las comunicaciones. Se realizó una revisión bibliométrica en la base de datos Web of Science con una metodología de cinco fases y técnicas bibliométricas diversas. Analizamos 994 documentos publicados entre 2013 y 2023. Para el análisis y visualización usamos RStudio, Bibliometrix, Microsoft Excel e IBM SPSS. Estados Unidos destaca como el país con más publicaciones y cabe mencionar que no hay representación latinoamericana entre los primeros diez países con mayor producción. El análisis temático mostró brechas y temas emergentes que pueden contribuir a la construcción de evidencia científica sobre IA en comunicaciones. Concluimos que existe una tendencia al crecimiento en la producción sobre esta temática y que la IA desde lo humano parece ser el enfoque predominante del estudio en comunicaciones. Se precisan nuevos estudios que llenen las brechas observadas y que fortalezcan tanto los temas motores, como los básicos.
Study on Impact of Audit Committee on Organization Financial Performance
Authors: V Rakshitha
Published: April 2024

Abstract: As of late, the job of review panels inside associations has acquired expanding consideration because of their urgent job in guaranteeing straightforwardness, responsibility, and powerful administration. This study means to investigate and examine the effect of review advisory groups on hierarchical execution, zeroing in on their capabilities, synthesis, and viability.
Product Rating System using Sentiment Analysis
Authors: Sumathi Mrs. P.
Published: April 2024

Abstract: In this project, we introduce an innovative approach to product rating systems by seamlessly incorporating sentiment analysis techniques. Traditionally, numerical scores have been the primary method for evaluating products, but they often fall short in capturing the nuanced and subjective nature of user sentiments. Recognizing this limitation, our motivation lies in the potential of sentiment analysis to revolutionize product evaluations by providing a more detailed and insightful understanding of user experiences.
LuminousBookWeb
Authors: Raina Kritika
Published: April 2024

Abstract: "LuminousBookWeb" is a groundbreaking library management system designed for an enhanced user experience. The system features a dynamic online catalog with keyword search, providing detailed book information, abstracts, and full PDF access. A streamlined booking system generates QR codes for physical library transition, integrating with a smart almirah that guides users to booked books using responsive lighting. This project redefines library interactions by seamlessly blending digital cataloging with a novel wayfinding mechanism, simplifying material retrieval, and offering an interactive and user-friendly library experience.
Deep fakes Detection Using Human Eye Blinking Pattern: Deep Vision
Authors: Siddharth Gorde
Published: April 2024

Abstract: Deepfake technology is developing rapidly and has the ability to create fake videos that pose a threat to people. Modern depth detection methods often rely on facial disparity, but as technology advances these methods become obsolete. In this study, we propose a new method for deepfake detection based on observation of human eye blink patterns. Human eye blinking is a natural and involuntary action that is difficult to accurately replicate in deepfake video. In our study, we used the unique characteristics of individual blink patterns, which are influenced by many factors such as genetics, muscle tone and unconscious reflexes. We use computer vision and machine learning techniques to extract and identify these patterns from video clips. Our preliminary tests show good results in detecting deepfakes with high accuracy. We are focused on continuing to support the fight against the spread of fraud by focusing on a part of human behaviour that is difficult to replicate. This approach has the potential to improve existing tools for in-depth discovery and increase the overall security and reliability of multimedia content in the digital age. This research opens new avenues for the development of more robust, reliable and flexible deep recognition technologies. This represents a significant step forward in the ongoing fight against malicious misuse of electronic devices.
YOLO based Metro Surveillance System
Authors: Naik Utkarsh
Published: April 2024

Abstract: The evolution of computer vision technologies has ushered in a new era of surveillance capabilities, particularly in the context of bolstering security and safety measures across diverse domains. Among these advancements, the integration of cutting-edge algorithms such as YOLO (You Only Look Once) stands out as a significant contributor to the efficacy of surveillance systems, especially when applied to smart Closed-Circuit Television (CCTV) networks. In this paper, we embark on a comprehensive exploration of the application of the latest iteration of YOLO, YOLO V4, in enhancing surveillance capabilities. At the forefront of our investigation lies the meticulous assessment of YOLO V4's real-time object detection accuracy within CCTV networks
Machine Learning Algorithms For Pothole Detection: A Review
Authors: Yadav Gautam
Published: April 2024

Abstract: Potholes are a major problem for the condition of roads, car safety, and commuter comfort. Potholes must be found early and repaired quickly in order to preserve transportation networks and reduce related expenses. Advances in computer power and sensor technology have led to the emergence of machine learning algorithms as potent pothole detection methods. Modern machine learning methods used for pothole detecting tasks are thoroughly examined in this research study. Using a variety of datasets, we investigate and contrast the performance of many algorithms, such as ensemble techniques, support vector machines (SVMs), and convolutional neural networks (CNNs). The study explores the advantages and disadvantages of each strategy, including details on each one's memory, accuracy, precision, and computing efficiency. We also talk about the difficulties and potential paths for future study in this quickly developing topic.
Advancements in Intelligent Video Surveillance for Public Safety: A Comprehensive Review
Authors: Kumari Diksha
Published: April 2024

Abstract: Intelligent video surveillance systems have emerged as invaluable tools for ensuring public safety in a variety of settings, from essential infrastructure to urban environments. These systems, which are driven by state-of-the-art technology like computer vision, machine learning, and artificial intelligence, provide unmatched real-time threat detection, analysis, and response capabilities. This study provides an in-depth analysis of the most recent developments in intelligent video surveillance for public safety, covering key technology, useful uses, enduring difficulties, and potential directions. This paper aims to provide a thorough knowledge of the significant implications and emerging opportunities of intelligent video surveillance in protecting public places from potential dangers through an examination of recent research insights and industry advancements. This article seeks to offer a guide for researchers, practitioners, policymakers, and stakeholders navigating the ever-changing field of intelligent video surveillance for public safety by exploring the evolving trends, emerging technologies, and practical applications.
Automatic Home Controlling System for Paralyzed Patient using Eye Gestures
Authors: K Chanthini.
Published: April 2024

Abstract: The system revolutionizes the lives of paralyzed individuals by harnessing the power of eye-tracking technology for seamless control of home appliances. Utilizing OpenCV for robust and real-time eye tracking, the system enables patients to effortlessly interact with their surroundings by focusing on predefined patterns or commands. A user-friendly interface facilitates the establishment of a connection between eye movements and various household devices, including lights, fans, and entertainment systems. This innovative solution empowers individuals with limited mobility to regain independence, simplifying the management of daily routines and living spaces through intuitive gaze-based commands. By providing a novel avenue for communication and control, the system offers paralyzed patients a renewed sense of autonomy, convenience, and improved quality of life.
Discerning Deception: A Face-Centric Deepfake Detection Approach with ResNeXt-50 and LSTMs
Authors: Emaley Aman Kumar
Published: April 2024

Abstract: A.I. has grown to epidemic proportions over the last years as its applied in almost all sectors to allocate workload from humans but end up being done effectively with no human intervention. A branch of A.I. called deep learning, which operates by mimicking human judgment and action through neural network systems. Nonetheless, with the increase height of the two platforms have been experienced sufficient cases of misguided individuals using tools to recycle videos, audios, and texts to achieve their agendas. This insinuates a due assumption that Generative Adversarial Networks, GANs, are central to the development of believable deepfakes. GANs have developed a crucial ability to generate videos that replace frames with material from another video source to create deepfakes videos. While GANs serves various purposes such as entertainment, teaching, and experimentation, malicious actors can misuse these deep learning techniques to manipulate videos, impacting the privacy of individuals in society. This paper conducts an analysis of different deepfake detection models, comparing their efficacy and discussing potential future extensions of deepfake technology. The study presents a novel deepfake detection approach utilizing a combination of Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). This method utilizes ResNext50 for extracting features at the frame level, while employing LSTM (Long Short-Term Memory) for video classification based on these extracted features. Various datasets are incorporated, including the deepfake detection challenge dataset (DFDC) and Face Forensics deepfake collections (FF++), combining them to achieve a high-accuracy model capable of accurately discerning between real and deepfake videos. The results of this study make a valuable contribution to the continuous endeavors aimed at improving deepfake detection abilities and ensuring privacy protection in a time heavily influenced by artificial intelligence
The effect of chitin on the effectiveness of Beauveria bassiana formulation product to control cocoa pod borer in vitro
Authors: Nurhangga Eka , Nawfetrias Winda , Djamas Nailulkamal , Jufri Akhmad
Published: April 2024

Fungal entomopathogens are suggested to be used as a bioinsecticide due to their biological persistence and ecological friendliness.
Beauveria bassiana
is an entomopathogenic fungus that can effectively control insect pests, including cocoa pod borer. This study aims to determine the level of effectivity of the
B. bassiana
(Bb) formulation product from Palu against cocoa pod borer pupae
in vitro
. This research used a completely randomized design (CRD) consisting of two factors: conidia concentrations and chitin treatments, which were repeated thrice. The conidia concentrations consisted of two levels, that were 106 and 107 conidia/mL. The chitin treatment included seven treatments: isolate from Kediri without formulation with chitin (Bb-K), isolate from Palu without formulation with chitin (Bb-P0), four formulations of isolates from Palu with the addition of chitin to various growth media (Bb-P1, Bb-P2, Bb-P3, and Bb-P4), and control (without Bb suspension). Bb-P0 and Bb-P2 treatments at a concentration of 107conidia/mL began to colonize CPB on the third day after the treatment application, while the other formulations started
on the fifth day. However, Bb-P0 showed the lowest infection rate at the end of the observation. Contrarily, the data on the pupa-infected ratio showed that the Bb-P2 treatment was the highest compared to other treatments. It conformed to the adult emergence ratio that Bb-P2 exhibited the lowest, which means Bb-P2 has the most virulence of other formula. The result showed that PDA and PDB media-supplemented chitin was the most effective for culturing B. bassiana origin Palu before mass production.
Production and profiling bioflavor compound from fermentation OPEFB hydrolysate and CPO by Lactobacillus sp.
Authors: Dimawarnita Firda , Kusuma Azzakiyya Salsabila Syifa , Perwitasari Urip , Zubaidah Elok , Faramitha Yora , Religia Pijar , Juanssilfero Ario Betha
Published: April 2024

Bioflavor is a type of natural flavor that is obtained from microbial metabolites during the process of fermentation. Most of the bacteria involved in food fermentation are lactic acid bacteria, including Lactobacillus sp. The optimal medium for Lactobacillus sp. growth is de Man Rogosa and Sharpe (MRS), but it is considered to be less economical. Therefore, alternative carbon and nitrogen sources are needed. This study aimed to determine the bioflavor produced in de Man Rogosa dan Sharpe Broth (MRSB) media that was substituted with Oil Palm Empty Fruit Bunch (OPEFB) hydrolysate and Crude Palm Oil (CPO) at concentrations of 5, 15, and 30%, respectively by using gas chromatography-mass spectrometry. The results showed that substituting MRSB with 15% CPO produced the best results for the growth of Lactobacillus sp. However, each medium produced different bioflavor compounds. In the control media (MRSB), the highest amount of bioflavor compound was 2,3-dihydro-3,5-dihydroxy-6-methyl -4H-Pyran-4-one (rose tea). In the OPEFB hydrolysate-substituted medium, it was benzene-acetaldehyde (sweet, bread, rose), in the CPO-substituted medium, it was furaneol (pineapple and strawberry) and pyrazine (nutty, roasted coffee).
The extract of Cavendish banana (Musa acuminata) peel as antioxidant and anti-aging agents in model yeast Schizosaccharomyces pombe
Authors: Avelina Theresia Yolanda , Astuti Rika Indri , Wahyuni Wulan Tri
Published: April 2024

Banana peel is one of the wastes that can be explored for various applications. Cavendish is among the most highly consumed bananas in the world, which implies a high amount of banana peel waste. Our study evaluated the potential of Cavendish banana peels as the source of antioxidant and anti-aging agents. Antioxidant was extracted using three different solvents, i.e., water, ethyl acetate, and methanol. Each extract was then assayed for antioxidant activity in vitro using a 1,1-diphenyl-2-picrylhydrazyl (DPPH) assay. The antioxidant and anti-aging activity of the extracts were further evaluated at the cellular level using the yeast Schizosaccharomyces pombe as a model. Our data indicated that the methanol extract of banana peel showed the highest antioxidant activity with an IC50 value of 253.8 µg mL-1 compared to ethyl acetate and water, yet it was considered weak. Interestingly, the methanol extract (600 ppm) showed antioxidant and anti-aging activities at cellular levels in yeast S. pombe. Therefore, this research reveals the potential for developing banana peel methanol extract as a component of pharmaceutical or cosmetic products with antioxidant and anti-aging properties.
Approximating quantum channels by completely positive maps with small Kraus rank
Authors: Lancien Cécilia , Winter Andreas
Published: April 2024

We study the problem of approximating a quantum channel by one with as few Kraus operators as possible (in the sense that, for any input state, the output states of the two channels should be close to one another). Our main result is that any quantum channel mapping states on some input Hilbert space A to states on some output Hilbert space B can be compressed into one with order dlog⁡d Kraus operators, where d=max(|A|,|B|), hence much less than |A||B|. In the case where the channel's outputs are all very mixed, this can be improved to order d. We discuss the optimality of this result as well as some consequences.
Derivative Pricing using Quantum Signal Processing
Authors: Stamatopoulos Nikitas , Zeng William J.
Published: April 2024

Pricing financial derivatives on quantum computers typically includes quantum arithmetic components which contribute heavily to the quantum resources required by the corresponding circuits. In this manuscript, we introduce a method based on Quantum Signal Processing (QSP) to encode financial derivative payoffs directly into quantum amplitudes, alleviating the quantum circuits from the burden of costly quantum arithmetic. Compared to current state-of-the-art approaches in the literature, we find that for derivative contracts of practical interest, the application of QSP significantly reduces the required resources across all metrics considered, most notably the total number of T-gates by ∼16x and the number of logical qubits by ∼4x. Additionally, we estimate that the logical clock rate needed for quantum advantage is also reduced by a factor of ∼5x. Overall, we find that quantum advantage will require 4.7k logical qubits, and quantum devices that can execute 109 T-gates at a rate of 45MHz. While in this work we focus specifically on the payoff component of the derivative pricing process where the method we present is most readily applicable, similar techniques can be employed to further reduce the resources in other applications, such as state preparation.
Baḥtsul Masāil at a Traditional Islamic Educational Institution in Aceh: Teungku Dayah's Contribution to the Development of Islamic Law
Authors: Zulkhairi Teuku , Hajar Ibnu , Safriadi Safriadi , Marzuki Marzuki , Saifullah Saifullah
Published: April 2024

The global world has implications for the emergence of various contemporary problems and demands legal certainty for every Islamic legal issue. This research aims to examine Baḥtsul Masāil in Dayah as a traditional Islamic educational institution in Aceh, especially its contribution in responding to developments in contemporary Islamic law. This research uses a qualitative-normative method with a sociological approach to Islamic law. Data was obtained through interviews, observation and document study. The informants interviewed were Tengku Dayah in Aceh, observing the activities of Baḥtsul Masāil and the documents studied were journal articles, textbooks and books. The research results show that teungku dayah is able to answer contemporary Islamic law problems through Baḥtsul Masāil. This activity took the form of a focus group discussion involving professional staff from Islamic boarding schools and discussed various current issues from a legal perspective. In Baḥtsul Masāil uses the method of ilhaq and contextualization of the turats text. Ilhaq is achieved by equating law with problems that have not been answered by Islamic texts with problems that have been answered by Islamic texts, while contextualization of Islamic texts is achieved by interpreting Islamic texts in a contemporary context. The results of Baḥtsul Masāil are then disseminated to the community through community learning processes, recitations, or religious lectures. Thus, in terms of the sociology of Islamic law, Teungku Dayah and Dayah educational institutions as actors are able to contribute to contemporary Islamic problems and the problem of the vacuum of Islamic law in society can be overcome.