bluuebunny/crossref_metadata_2025 huggingface dataset:
Dominant Circulating Cell-free Mycobacterial Proteins in In-use
Machining Fluid and their Antigenicity Potential
Authors: Chandra Harish , Ahlers Bethany , Lam Ying Wai , Yadav Jagjit S.
Published: May 2024

Background:

Occupational exposure to industrial Metalworking Fluid (MWF) colonized
by Mycobacterium immunogenum (MI) has been associated with immune lung disease hypersensitivity
pneumonitis (HP) in machinists. This warrants regular fluid monitoring for early detection
of mycobacterial proteins, especially those with antigenic potential.

Objective:

To detect and identify dominant MI proteins and antigens directly from the field-drawn
in-use MWF using an integrated immunoproteomic and immunoinformatic approach.

Methods:

An MI-positive MWF selected by DNA-based screening of several field-drawn MWF
samples were cultured to isolate the colonizing strain and profiled for dominant circulating cell-
free (ccf) MI proteins, including antigens using an integrated immunoproteomic (1D- and 2Dgel
fractionation of seroreactivity proteins combined with shotgun proteomic analysis using LC-MS/
MS) and immunoinformatic strategy.

Results:

A new MI strain (MJY-27) was identified. The gel fractionated MI protein bands (1Dgel)
or spots (2D-gel) seroreactive with anti-MI sera probes (Rabbit and Patient sera) yielded 86
MI proteins, 29 of which showed peptide abundance. T-cell epitope analysis revealed high
(90-100%) binding frequency for HLA-I& II alleles for 13 of the 29 proteins. Their antigenicity
analysis revealed the presence of 6 to 37 antigenic determinants. Interestingly, one of the identified
candidates corresponded to an experimentally validated strong B- and T-cell antigen (AgD)
from our laboratory culture-based studies.

Conclusion:

This first report on dominant proteins, including putative antigens of M. immunogenum
prevalent in field in-use MWF, is a significant step towards the overall goal of developing
fluid monitoring for exposure and disease risk assessment for HP development in machining environments.

Conclusion::

This first report on dominant proteins, including putative antigens of M. immunogenum
prevalent in field in-use MWF, is a significant step towards the overall goal of developing
fluid monitoring for exposure and disease risk assessment for HP development in machining environments.
Influences of Ipomoea batatas Anti-Cancer Peptide on Tomato Defense
Genes
Authors: Lin Hsin-Hung , Lin Kuan-Hung , Tsai Yung-Lin , Chen Rong-Jane , Lin Yen-Chang , Chen Yu-Chi
Published: May 2024

Aims:

This study investigates the impact of IbACP (Ipomoea batatas anti-cancer peptide)
on defense-related gene expression in tomato leaves, focusing on its role in plant defense
mechanisms.

Background:

IbACP was isolated from sweet potato leaves, and it was identified as a
peptide capable of inducing an alkalinization response in tomato suspension culture media. Additionally,
IbACP was found to regulate the proliferation of human pancreatic adenocarcinoma
cells.

Objective:

Elucidate IbACP's molecular influence on defense-related gene expression in tomato
leaves using next-generation sequencing analysis.

Methods:

To assess the impact of IbACP on defense-related gene expression, transcriptome data
were analyzed, encompassing various functional categories such as photosynthesis, metabolic processes,
and plant defense. Semi-quantitative reverse-transcription polymerase chain reaction analysis
was employed to verify transcription levels of defense-related genes in tomato leaves treated
with IbACP for durations ranging from 0 h (control) to 24 h.

Results:

IbACP induced jasmonic acid-related genes (LoxD and AOS) at 2 h, with a significant
up-regulation of salicylic acid-dependent gene NPR1 at 24 h. This suggested a temporal antagonistic
effect between jasmonic acid and salicylic acid during the early hours of IbACP treatment.
Downstream ethylene-responsive regulator genes (ACO1, ETR4, and ERF1) were consistently
down-regulated by IbACP at all times. Additionally, IbACP significantly up-regulated the gene expressions
of suberization-associated anionic peroxidases (TMP1 and TAP2) at all time points, indicating
enhanced suberization of the plant cell wall to prevent pathogen invasion.

Conclusion:

IbACP enhances the synthesis of defense hormones and up-regulates downstream defense
genes, improving the plant's resistance to biotic stresses.
Effect of Rotenone on the Neurodegeneration among Different Models
Authors: Subhan Iqra , Siddique Yasir Hasan
Published: May 2024

:

Rotenone is a naturally occurring plant product used as an insecticide, pesticide and piscicide. It is lipophilic in nature and can cross the blood-brain barrier and induce the degeneration
of neurons. It inhibits the mitochondrial respiratory chain complex I and stops the transfer of electrons. It induces ROS generation, which impairs mitochondrial activity. Rotenone is a toxic agent
which causes the death of neurons. The present review describes the effect of rotenone on neurodegeneration with an emphasis on behavioral, pathological and neuropathological components carried out on various experimental models such as cell lines, Drosophila melanogaster, mice and
rats.
Phytochemicals: Promising Inhibitors of Human Rhinovirus Type 14 3C
Protease as a Strategy to Fight the Common Cold
Authors: Tsilimingkra Nefeli Theodora , Papaneophytou Christos
Published: May 2024

Background::

Human rhinovirus 3C protease (HRV-3Cpro) plays a crucial role in viral
proliferation, establishing it as a prime target for antiviral therapy. However, research on identifying
HRV-3Cpro inhibitors is still limited.

Objective::

This study had two primary objectives: first, to validate the efficacy of an end-point colorimetric
assay, previously developed by our team, for identifying potential inhibitors of
HRV-3Cpro; and second, to discover phytochemicals in medicinal plants that inhibit the enzyme's
activity.

Methods::

Rupintrivir, a well-known inhibitor of HRV-3Cpro, was used to validate the colorimetric
assay. Following this, we conducted a two-step in silico screening of 2532 phytochemicals, which
led to the identification of eight active compounds: apigenin, carnosol, chlorogenic acid, kaempferol,
luteolin, quercetin, rosmarinic acid, and rutin. We subsequently evaluated these candidates in
vitro. To further investigate the inhibitory potential of the most promising candidates, namely,
carnosol and rosmarinic acid, molecular docking studies were performed to analyze their binding
interactions with HRV-3Cpro.

Results::

The colorimetric assay we previously developed is effective in identifying compounds
that selectively inhibit HRV-3Cpro. Carnosol and rosmarinic acid emerged as potent inhibitors, inhibiting
HRV-3Cpro activity in vitro by over 55%. Our analysis indicated that carnosol and rosmarinic
acid exert their inhibitory effects through a competitive mechanism. Molecular docking
confirmed their competitive binding to the enzyme's active site.

Conclusion::

Carnosol and rosmarinic acid warrant additional investigation for their potential in
the development of common cold treatment. By highlighting these compounds as effective
HRV-3Cpro inhibitors, our study presents a promising approach for discovering phytochemical inhibitors
against proteases from similar pathogens.
A Fluorescent Probe for Hydrazine Based on 4-hydroxycoumarin with
High Selectivity and Sensitivity
Authors: Fang Fang , Han Wendi , Ke Fang , Liu Shun , Li Lipeng , Wu Mei
Published: May 2024

Background:

Therefore, the development of reliable analytical
techniques with high selectivity and sensitivity to detect hydrazine is required for the protection of
human health and safety.

Objectives:

Traditional methods for detecting N2H4 are frequently time-consuming, less accurate,
and unsuitable for the analysis of living systems. Numerous fluorescent probes for hydrazine have
been produced and gained some valuable results recently. The creation of a simple fluorescent probe
for hydrazine detection is the goal of this project

Method:

In this study, 300 µL of probe 3-methyl-2-oxo-2H-chromen-7-yl propionate (MOCP) was
mixed with an equivalent amount of the solution of each analyte to obtain the measurement solution.
Following a 10-minute room temperature incubation period, the fluorescence spectra of the resultant
solution were recorded.

Results:

The fluorescence intensity of the probe was noticeably enhanced when N2H4 was added to
the probe, but almost no fluorescence enhancement was observed when other competitive ions were
added.

Conclusion:

A hydrazine fluorescent probe based on 4-hydroxycoumarin fluorophore was developed. The probe MOCP displayed high sensitivity and selectivity for hydrazine, with a color change
from colourless to blue for detection by the naked eye. Moreover, it demonstrated a low detection
limit of 20 nM and a fast reaction time of 30 s.
Factors for Adopting Technology in the Education Sector
Authors: Khalid Abdul-Mumin , Owusu-Boateng Obeng
Published: May 2024

Information communication and technology (ICT) is a key driver in most
industries including education. The goal of this chapter is to look at the major factors
that drive the adoption of digital tools in the education sector. Such factors include the
role of educator/professor/lecturer, context factors, governmental actions, university
factors, organizational culture and leadership, skills in information and communication
technology, obtainability of resources, involved parties, value and developments,
advances in technology, superiority of information, data science and business
intelligence, and compatibility. Teachers and mentors should push their pupils to use
ICT for research, communication, and problem-solving to boost their academic
performance and opportunities. Both the availability of tools and the quality of those
tools affect students' perspectives and intentions to engage in digital learning. ICTbased digital learning choices should be utilized by students. While some see ICT as a
way to boost classroom efficiency, teamwork, the quality of instruction, and student
outcomes, the reality is that its usage in schools has been widespread for only a short
period and that many people are either uninterested or actively opposed to it.
Assessing the Feasibility and Preliminary Effects of a Web-Based Self-Management Program for Chronic Noncancer Pain: Mixed Methods Study (Preprint)
Authors: Marier-Deschenes Pascale , Pinard Anne Marie , Jalbert Laura , LeBlanc Annie
Published: May 2024

BACKGROUND

In Canada, adults with chronic noncancer pain face a persistent insufficiency of publicly funded resources, with the gold standard multidisciplinary pain treatment facilities unable to meet the high clinical demand. Web-based self-management programs cost-effectively increase access to pain management and can improve several aspects of physical and emotional functioning. Aiming to meet the demand for accessible, fully automated resources for individuals with chronic noncancer pain, we developed a French web- and evidence-based self-management program, Agir pour moi (APM). This program includes pain education and strategies to reduce stress, practice mindfulness, apply pacing, engage in physical activity, identify and manage thinking traps, sleep better, adapt diet, and sustain behavior change.

OBJECTIVE

This study aims to assess the APM self-management program’s feasibility, acceptability, and preliminary effects in adults awaiting specialized services from a center of expertise in chronic pain management.

METHODS

We conducted a mixed methods study with an explanatory sequential design, including a web-based 1-arm trial and qualitative semistructured interviews. We present the results from both phases through integrative tables called joint displays.

RESULTS

Response rates were 70% (44/63) at postintervention and 56% (35/63) at 3-month follow-up among the 63 consenting participants who provided self-assessed information at baseline. In total, 46% (29/63) of the participants completed the program. We interviewed 24% (15/63) of the participants. The interview’s first theme revolved around the overall acceptance, user-friendliness, and engaging nature of the program. The second theme emphasized the differentiation between microlevel and macrolevel engagements. The third theme delved into the diverse effects observed, potentially influenced by the macrolevel engagements. Participants highlighted the features that impacted their self-efficacy and the adoption of self-management strategies. We observed indications of improvement in self-efficacy, pain intensity, pain interference, depression, and catastrophizing. Interviewees described these and various other effects as potentially influenced by macrolevel engagement through behavioral change.

CONCLUSIONS

These ﬁndings provided preliminary evidence that the APM self-management program and research methods are feasible. However, some participants expressed the need for at least phone reminders and minimal support from a professional available to answer questions over the first few weeks of the program to engage. Recruitment strategies of a future randomized controlled trial should focus on attracting a broader representation of individuals with chronic pain in terms of gender and ethnicity.

CLINICALTRIAL

ClinicalTrials.gov NCT05319652; https://clinicaltrials.gov/study/NCT05319652
Cartografía de la vivienda. Manifiesto de la desigualdad social
Authors: Juárez-Sedano Alma Delia , Dolores-Mijangos María del Rosario , Volpi-León Valeria , Bigurra-Alzati Carlos Alfredo
Published: May 2024

La vivienda deja muestra de contextos diferenciados en los que se vive la ciudad; su tamaño, forma y ubicación, según su tipología, son los referentes iniciales de los costos en el mercado y, por ende, del poder económico de quienes las adquieren. Este trabajo tiene como objetivo principal dejar a la vista una cartografía de la vivienda en la ciudad, donde se muestre la forma urbana configurada a partir de la vivienda nueva a la venta y la desigualdad social que se marca a través de su adquisición. Se considera únicamente su dimensión económica, viéndose afectada según sus dimensiones, ubicación y los medios para su financiamiento. Para ello, fueron analizados 28 fraccionamientos identificados por contar con vivienda nueva a la venta, entre mayo del 2020 y abril del 2021, en Pachuca, Hidalgo, México. Lo anterior deja muestra de recortes en la ciudad, dados entre las fracturas espaciales y la disparidad social, y evidenciados a partir de la tipología de la vivienda y sus costos en el mercado inmobiliario.
La flor de jamaica como producto estratégico para la salud humana en el contexto de México
Authors: Montaño Arango Oscar , Corona Armenta José Ramón , Ortega Reyes Antonio Oswaldo , Garnica González Jaime
Published: May 2024

Actualmente, en México existe la tendencia hacia un mayor consumo de productos naturales que beneficien la salud y a largo plazo no produzcan efectos negativos, por lo cual, el objetivo de esta investigación es evaluar si los principales extractos y subproductos de la flor de jamaica se pueden considerar estratégicos, en función de sus propiedades, impacto en la salud, cadena de valor, pues México es uno de los 10 principales productores a nivel mundial. Para esto, se utilizó el siguiente método: a) se recopilaron y analizaron investigaciones sobre la flor de jamaica y beneficios al ser humano; b) se analizó la información con la herramienta Delphi; c) se desarrolló un dendrograma para categorizar la relevancia en su uso, y, d) se determinaron las condiciones y potencial de la cadena de valor de los procesos que integran su cadena de suministro. Los resultados muestran que no presenta actividad tóxica o mutagénica y que tiene un gran impacto en 3 vertientes: medicina alternativa, como desinfectante y complemento alimenticio. Se encontró que su cadena de valor es incipiente, pero con potencial en: regiones de siembra, centros de investigación y vinculación con el sector industrial para su aprovechamiento, cobertura de comercialización y venta.
Defining well-being for the inhabitants of Mexico City
Authors: Flores-Cano Olga
Published: May 2024

Studied worldwide, well-being is an important principle for the modern societies and needs to reflect the local cultures of the targeted populations. Semantic networks and graph theory address this issue: a definition of well-being comes directly from a sample of the targeted population. The stage one (N = 201, 52% female and 48% male, volunteers—informed consent provided—, 20 years and older, mean = 39.97 years, S.D. = 13.56 years) semantic networks defined well-being. In stage two the networks were the foundation to construct two scales which were validated (sample N = 427, 55% female and 45% male, volunteers—informed consent provided— 20 years and older, mean = 37.75 years, S.D. = 12.54 years). Analyzed with graph theory, well-being resulted in a social complex system (non-linearity, small world phenomenon, emergency), and showed the main elements to define well-being (affect and cognitive components). Its subgraphs were arranged into three main domains with subdomains: health (physical and psychological), relationships (family, friends, community) and resources (personal, material, time). The scale of satisfaction with well-being (α = .912) and the scale of experiences of well-being (α = .969) showed a good fit and obtained adequate values. Semantic networks proved to be a good resource to help in the construction of a questionnaire to study well-being with a cultural perspective.
2F-Authsys: A hyperlocal two-factor authentication system using Near Sound Data Transfer
Authors: Patel D. , Trivedi D. , Raval U. , Dennisan A.
Published: May 2024

Two-Factor Authentication (2FA) is a new buzzword in the Information Security world. Big companies that used passwords as an authentication mechanism now have started transitioning to 2FA. One form of two factor authentication is known as One-Time Password (OTP). In today’s time, there is a lack of a secure multi-factor authentication platform which is also user friendly. In all the major 2FA platforms that exist today, the user has to manually enter the OTP from their phone or email. This problem is further amplified by delays in transmission of OTP via email or SMS. There has also been an increase in the number of botnets that scan large networks and try to an open and vulnerable ports on cloud hosting networks. An easy-to-use port security solution is not available. This research work aims to create a secure, proof-of-concept implementation of a modern and opinionated two factor authentication system based on Near Sound Data Transfer (NSDT) technology enabling contactless secure transmission of Time-Based One-Time Password (TOTP).
IoT network to water management in an irrigation district: Study case in Colombia
Authors: Rios-Rojas L. , Ordonez-Córdoba J. , Bulla B. , Gómez O. , Enciso R. , Martínez M.
Published: May 2024

One of the critical factors for crop efficiency is irrigation optimization. This optimization uses the knowledge of water dynamics in the soil to develop efficient irrigation programming. Previously,        we described a prototype of a system that used soil moisture sensors to control the frequency and duration of the irrigation of a Limon Tahiti, showing a reduction in water and energy use. This paper describes IoT's use for optimizing irrigation for ten crops of socioeconomic importance in Colombia. Besides the soil moisture, the system also collects information on fruit growth and climatic variables. Results evidence a reduction in water consumption and several benefits for the crops, proving especially beneficial for small-scale agriculture.
Cotton fabric surface treatment by plasma-deposited hexamethyldisilazane thin films
Authors: Alali W. , Saffour Z. , Saloum S.
Published: May 2024

In the realm of fabric finishing, achieving the best wettability in cotton fabric is often a desired outcome. To accomplish this, a plasma-enhanced chemical vapor deposition (PECVD) system was used to deposit Hexamethyldisilazane (HMDSN) thin films onto cotton fabric for two different durations: 15 and 30 minutes. Various fabric properties were evaluated to determine the effectiveness of the treatment, including wettability, surface morphology, chemical structure, the effect of deposition on fabric stiffness, and the film fastness on the abrasion and washing. These properties were assessed using SEM, FTIR, and Martindale tester. Results indicated that both treatment durations improved the fabric's wicking ability. However, the film did not have a good fastness on abrasion and washing.
estado actual del cibercrimen en Perú y el derecho alemán
Authors: Jimenez Bernales Luis Alberto
Published: May 2024

Poco más de dos décadas desde que Internet se masificó en gran parte del mundo, ya no solo como utilidad para enviar o recibir un correo electrónico o para buscar algún dato curioso, sino también para el uso de aplicaciones que facilitan sustancialmente la vida de las personas: pagar cuentas en línea, soportes inteligentes para los múltiples dispositivos y teletrabajo; el dinamismo en esta nueva forma de interacción social no podría darse sin Internet. Sin embargo, este devenir tecnológico también implica una serie de riesgos que en los últimos años se ha acrecentado: los robos de datos personales a través del phishing, la vulnerabilidad de páginas gubernamentales mediante el doxeo, la pornografía infantil, y el fraude informático son un ejemplo de los riesgos informáticos que cada día se vuelven más comunes en una sociedad postindustrial. El objetivo de este trabajo es evidenciar los riesgos a los que se encuentran expuestos los bienes jurídicos en el ciberespacio, cuando el proveedor de internet no suministra ningún mecanismo preventivo (sistema de inteligencia artificial) para combatirlo. Sin duda, esto se debe a que existe una deficiente regulación normativa que obligue a los proveedores de servicio a vigilar sus plataformas como fuente de peligro.
Resolución de conflictos laborales en Latinoamérica: El papel de los sindicatos en la mediación laboral
Authors: Rodriguez Calderón David
Published: May 2024

En los últimos años, los países de América Latina han introducido importantes reformas laborales que prometen mejorar los derechos de los trabajadores en la región; sin embargo, no han producido resultados significativos, especialmente en países como Colombia y México. La región ocupa un lugar bajo en los índices que monitorean los derechos laborales, aunque hay problemas con el índice más destacado de derechos laborales producido por la Confederación Sindical Internacional (CSI). El objetivo de esta investigación es recopilar las diferentes estrategias de mediación laboral que han implementado los países latinoamericanos para crear un contexto regional de casos de éxito y oportunidades en resolución de conflictos laborales. En un análisis cuantitativo de minería de datos, con el apoyo de metadatos, se estudiaron los sistemas de mediación latinoamericanos, las reformas estructurales y económicas, y el impacto de los sindicatos en su capacidad de afiliación, con el fin de generar datos confiables sobre la fuerza laboral latinoamericana.
Interruzione della relazione tra umani e animali d’affezione: il “danno interspecifico” nel dibattito giuridico italiano
Authors: Donadoni Paolo
Published: May 2024

Nella dottrina e giurisprudenza italiane degli ultimi 30 anni si dibatte della risarcibilità o meno del profilo non patrimoniale del danno patito dal padrone per l’uccisione del suo animale d’affezione (cosiddetto “danno interspecifico”). La Corte di Cassazione con un orientamento fermo, e ancor oggi attuale, ne esclude la risarcibilità; mentre presso la giurisprudenza di merito si sta consolidando sempre più un orientamento favorevole anche in base: ai dati che progressivamente emergono dalle conoscenze delle scienze della vita sugli animali, all’evoluzione del concetto di famiglia, alle prassi socio-culturali. Il testo analizza lo stato attuale del dibattito con ampi riferimenti di dottrina e giurisprudenza, focalizzando l’attenzione sui fondamenti giuridici delle argomentazioni.
Advancements in Neural Machine Translation: Methodological Innovations and Empirical Insights for Cross-Linguistic Discourse Preservation
Authors: Lau Ethan
Published: May 2024

Abstract: Natural Language Processing (NLP), in the form recognizable today, really began to take hold in the 1980s, when machine learning helped propel it to soaring heights. However, due to a lack of processing power, machine learning, and to an extent, NLP, started slowing down in innovation and ideas and had almost ground to a relative halt, until the last decade, when a sudden increase in both productivity and interest in the machine learning helped increase the amount of knowledge in the space itself. This review provides several different case studies using different methodologies. The first paper was a deep analysis on how researchers were able to use Tesseract and Google Vision in tandem with automatic data mining methods to enrich the Cherokee language database in order to preserve it from extinction. The second paper takes a query translation-based approach toward translating English to Indian languages and utilizes a Multilingual Cross-Language Information Retrieval (MLCIR) system with tools such as Part of Speech Tagger (POST), Stop-Word, and Porter Stemmer. The third paper presents CoVe, which transfers knowledge from machine translation to improve performance on NLP tasks like sentiment analysis and question answering by using contextualized word vectors along with word embeddings, achieving new state-of-the-art results on some datasets. The fourth paper aims to translate English to Pakistan Sign Language (PSL) and also uses POST and goes through dependency analysis, sentence classification, and PSL using PLS trees. The fifth paper uses a Multilingual Neural Machine Translation (NMT) system for LowResource languages and incorporates two main models: a recurrent NMT and a transformer NMT. The sixth paper analyzes how a fine-tuned transformer model seems to work better than transformer models trained from scratch on high-resource languages, while vice-versa seems to occur for low-resource languages. The seventh paper adds to this by talking about how multilingual translation seems to work better than a back-translation model. Given the diverse array of approaches that could be used, we aim to identify the most efficient and correct methodology for future researchers to use in their work, based on the papers in this literature review.
Intelligent Robotic Arm-Assisted Electrical Furnace for Efficient Metal Casting
Authors: G Nirmal Kumar , D Janet Merlin. , T Harini. , J Naresh , N Nishanth. C.
Published: May 2024

Abstract: This project proposes the development of an intelligent robotic arm-assisted electrical furnace system for efficient and precise metal casting. Electric furnace is used for heating purpose in various industrial production processes. Electric furnaces are used where more accurate temperature control is required. By combining the strengths of robotic automation with the clean and controllable environment of an electric furnace, the system aims to achieve Enhanced quality and reduced waste, Improved safety and reduced hazards, increased efficiency and productivity, Greater flexibility, and versatility, Reduced environmental impact. The project will explore the integration of sensors enhancing efficiency and quality control. The integration of these technologies aims to enhance productivity, precision, and safety while reducing operational costs. The robotic arm is designed to perform loading and unloading tasks, handling raw materials and moulds with exceptional accuracy and repeatability. The robotic arm can be attached to the electrical furnace. With the help of sensors, robots can manage to avoid obstacles on their paths and achieve their goals with or without prior planning, depending on the complexity of their implemented program.
Smart Meter Tampering Detection Using IoT Based Unsupervised Machine Learning
Authors: Ilokanuno Ogochukwu A.
Published: May 2024

Abstract: This work presents a novel smart grid tampering detection system re-engineered for end user monitoring and pipeline automation. The research focused on distributed energy resources. In context, the end user load profile, and generation capacity were processed in the cloud environment for tampering management. Computational pipelined methodology was adopted using baseline data from an independent electricity consumption data from 2018-2021 Abuja. First, a smart grid (SG) survey was carried using existing home estate at Abuja to ascertain tampering procedures in distributed energy resource domain. From the energy survey, the system architecture was developed and implemented based on computational model curve for dynamic attack vector mitigation.
Convolution Neural Network Based Approach for Diabetic Retinopathy Detection using Fundus Images
Authors: N Sridhar
Published: May 2024

Abstract: Diabetic Retinopathy (DR) represents the most prevalent complication arising from diabetes, impacting the retina and standing as a leading cause of global blindness. Timely detection plays a pivotal role in preserving patients' vision, yet early identification remains challenging, relying heavily on clinical experts' interpretation of fundus images. In this investigation, a deep learning model underwent training and validation using a proprietary dataset. The intelligent model assessed the quality of test images, distinguishing them into DR-Positive and DR-Negative categories and further classifying their severity stages, encompassing mild, moderate, severe, and normal. Subsequently, expert review will scrutinize the model's performance based on the obtained results
Driver Violation Detection for Motor Vehicle
Authors: Iqbal Negma
Published: May 2024

Abstract: This paper introduces a comprehensive project aimed at significantly enhancing road safety through the development of an innovative AI- like device tailored for vehicles. This device represents a proactive approach to monitoring driver behavior in real-time, targeting a wide range of unsafe actions including overspeeding, seatbelt negligence, impaired driving, inappropriate overtaking, distracted driving, and drowsiness. By leveraging cutting-edge sensors and sophisticated algorithms, the device not only detects these risky behaviors but also issues timely warnings to drivers, thereby promoting greater awareness and compliance with safety regulations
Face and Speech Emotion Recognition System
Authors: Sondawale Shweta
Published: May 2024

Abstract: Emotions serve as the cornerstone of human communication, facilitating the expression of one's inner thoughts and feelings to others. Speech Emotion Recognition (SER) represents a pivotal endeavour aimed at deciphering the emotional nuances embedded within a speaker's voice signal. Universal emotions such as neutrality, anger, happiness, and sadness form the basis of this recognition process, allowing for the identification of fundamental emotional states. To achieve this, spectral and prosodic features are leveraged, each offering unique insights into the emotional content of speech. Spectral features, exemplified by the Mel Frequency Cepstral Coefficient (MFCC), provide a detailed analysis of the frequency distribution within speech signals, while prosodic features encompass elements like fundamental frequency, volume, pitch, speech intensity, and glottal parameters, capturing the rhythmic and tonal variations indicative of different emotional states. Through the integration of these features, SER systems can effectively simulate and classify a diverse range of emotional expressions, paving the way for enhanced human-computer interaction and communication technologies
Communication Protocols for IoT Applications
Authors: Jadhav Ashish Madhukar
Published: May 2024

Abstract: The Internet of Things (IoT) can be defined as an ecosystem of interconnected devices such as sensors, microcontrollers, actuators that enable them to communicate and share information between them through internet for making the system intelligent and smart. As there is growth in IoT, communication protocols play a pivotal role in facilitating efficient, reliable, and secure data exchange between these components. Through this analysis, guidance is provided to users to choose particular protocol according to the application. Communication protocols in IoT offers a varied set of options which are designed for specific use cases.
Indoor Navigation System
Authors: Maurya Anirudh
Published: May 2024

Abstract: This research article explores the importance of indoor use in modern environments and focuses on their role in facilitating navigation in indoor spaces such as malls, malls, airports, and hospitals. These systems, which integrate various technologies such as smartphones, offer simple and easy solutions to users. Additionally, this article examines the commercial application of indoor navigation systems in retail environments in terms of their ability to direct customers to specific products and promotions. Indoor Navigation System Integrating Scalable Vector Graphics (SVG) and the Quick Response (QR) specification brings a new approach to indoor navigation-related problems. This technology uses SVG to create elaborate and detailed interior design, while QR codes play an important role in determining the exact location.
Brand Churn A Significant Percentage of Customers Leaving for Competitors
Authors: Rana Aabhas , Yadav Rajesh Kumar
Published: May 2024

Abstract: Brand churn, characterized by a significant percentage of customers leaving for competitors, poses a substantial challenge for businesses across industries. To understand the underlying factors contributing to brand churn and devise effective retention strategies, a survey questionnaire method was employed. The questionnaire was designed to gather insights into customers' reasons for switching brands, their perceptions of competitor offerings, and their preferences for brand loyalty incentives. A diverse sample of respondents representing various demographic segments and purchasing behaviours was targeted to ensure comprehensive data collection. The survey findings revealed key drivers of brand churn, including dissatisfaction with product quality, pricing competitiveness, and customer service experiences. Additionally, insights into customers' perceptions of competitor brands and the effectiveness of loyalty programs in retaining customers were garnered. The results of this survey provide valuable insights for businesses seeking to mitigate brand churn by addressing customer needs and preferences effectively. By implementing targeted retention strategies informed by these findings, businesses can enhance customer loyalty, reduce churn rates, and maintain a competitive edge in the marketplace.
Talking Stick Learning Model Assisted by Flashcard Media: Improving Mufradat Learning Outcomes
Authors: Wibowo Luthfi Qolbi Azzahra , Iis Dahlia  , Yeni Lailatul Wahidah  , Agung Setiyawan  , Umi Hijriyah  , Ahmad Arifin B. Sapar
Published: May 2024

This research aimed to determine the application of the talk stick learning model assisted by flash card media and to determine the level of effectiveness of the talk stick learning model assisted by flash card media in improving mufradat learning outcomes. The study employed a quantitative approach using a one-group pretest-posttest design model. Data were gathered through three methods: (1) watching teacher and student activities during the learning process; (2) using the talking stick model to test what to do before and after; and (3) documenting by gathering research-related documents. The normalcy distribution was used to calculate the One-Sample Shapiro-Wilk Test method, paired sample tests were used to test hypotheses, and N-gain was employed for data analysis.  To simplify the process, data analysis was carried out with the help of SPSS 26. This research was conducted at MI Al-Faidizn Buko Poso, Way Serdang class V, totaling 20 students. The research results showed a significance value of 0.000 < 0.05 that Ho was rejected and Ha was accepted, and the N-gain percent value was 85.3492. So the use of the talking stick learning model assisted by flashcard media could improve mufradat learning outcomes.
USO DE LA FUNCIÓN DE DESEABILIDAD PARA LA OPTIMIZACIÓN DE UN PROCESO DE PRODUCCIÓN DE POLIESTIRENO
Authors: Rahmer Bruno De Jesus , Garzón Saénz Hernando , Solana Garzón José Manuel
Published: May 2024

En este paper se pretende diseñar un modelo de optimización multirespuesta para un proceso de producción químico no optimizado en una entidad del clúster petroquímico colombiano. Se realiza la estimación y diagnosis de un diseño experimental tipo central compuesto. Las variables respuestas corresponden al costo global de operación y rendimiento del proceso, mientras que los factores controlables son: Temperatura (°C), Concentración del polímero (%) y Concentración de oxígeno (%). Se determinan las interacciones entre factores y la deseabilidad compuesta, cuyo valor indica que en la quinta ejecución se localiza el óptimo global de la operación.
ANÁLISIS DE LOS COMPROBANTES DE COMPRA DE UN MINORISTA APLICANDO REDES COMPLEJAS
Authors: Hernández González Salvador , Estrada Omaña Alejandro , Flores de la Mota Idalia , Jiménez García José Alfredo , Figueroa Fernández Vicente
Published: May 2024

Las empresas, tiendas y negocios generan grandes cantidades de comprobantes de pago y con frecuencia son la única fuente de información sobre la forma en que se relacionan y agrupan los productos. Se analizaron los comprobantes de compra de una tienda minorista aplicando el enfoque de redes complejas. El catálogo consta de 272 productos pero los artículos se relacionan en promedio con 10 productos. A partir de la modularidad, se identificaron 39 familias de artículos; se muestran 2 ejemplos de ofertas de artículos para adquirirse juntos. Las compras forman una red tipo “mundo-pequeño” ordenada alrededor de tres productos relevantes. Esta red ha alcanzado un estado donde la probabilidad de que un artículo establezca una nueva conexión es baja. Los resultados se compararon con el sistema de clasificación ABC del inventario, los resultados muestran una clasificación que complementa el análisis y gestión de un inventario.
Editorial Vol. 43 N.1
Authors: Holzbach Ariane , Tavares Camilla Quesada
Published: May 2024

Editorial Vol. 43 N. 1.
Configuración del discurso alternativo en ‘Cultiva Tu Mente’: colectivo juvenil que defiende el libre uso del cannabis en Pereira, Colombia
Authors: Cárdenas Ramírez Wilmar Jeovany , Castellanos Obregón Juan Manuel
Published: May 2024

El artículo presenta los resultados de la investigación citada, en este caso se abordará la configuración de un discurso alternativo de un Colectivo que defiende la libertad del uso recreativo del cannabis en espacios públicos. La investigación retomó la teoría de los Marcos de Acción Colectiva, Procesos Enmarcadores, Goffman (2006, p. 30) y Gamson (1992, p. 45), articulado al uso del Modelo Metodológico Etnográfico (Restrepo, 2012). Todo ello estuvo orientado a comprender cómo los miembros de un colectivo contrahegemónico, construyen un espacio público discursivo con la articulación de la noción de injusticia, como efecto de la estigmatización y la violencia física y simbólica que sufren. Así mismo, se analiza el discurso alternativo que produjeron los miembros del Colectivo ‘Cultiva Tu Mente’ (CTM), el cual integra una concepción de derechos, la promoción del autocultivo y diferentes expresiones lúdicas y recreativas que defienden la búsqueda del libre uso del cuerpo. Este caso permite acercarse a las dinámicas de construcción de políticas alternativas, con la articulación de agentes y prácticas discursivas que enfrentan los modelos normativos impositivos orientados al control de las subjetividades.
Serum soluble CD25 levels were associated with prognosis of children with Langerhans cell histiocytosis
Authors: Zhao Zi-Jing , Lian Hongyun , Li Wei-jing , Zhang Qing , Ma Hong-Hao , Wang Dong , Zhao Yunze , Zhu Ting , Li Hua-Lin , Huang Xiao-Tong , Wang Tianyou , zhang rui , Cui Lei , Li Zhigang
Published: May 2024

Background: Langerhans cell histiocytosis (LCH) is a rare myeloid
neoplasm with inflammatory characteristics. This study aims to
investigate the correlation between sCD25 levels and clinical
characteristics and prognosis in pediatric LCH. Procedure: Serum sCD25
levels were measured in 370 LCH patients under 18 years old using ELISA
assays. The patients were divided into two cohorts based on different
treatment regiments. We further assessed the predictive value for
prognosis impact of sCD25 in a test cohort, which was validated in the
independent validation cohort. Results: The median serum sCD25 level at
diagnosis was 3908 pg/ml (range: 231-44 000). sCD25 level was
significantly higher in MS RO+ LCH patients compared to SS LCH patients
( P<0.001). Patients with increased sCD25 were more
likely have involvement of risk organs, skin, lung, lymph node, or
pituitary (all P < 0.05). sCD25 level could predict LCH
progression and relapse with an area under the ROC curve of 60.6%. The
best cutoff value was determined at 2921 pg/ml. High-sCD25 group had a
significantly worse progression-free survival than those in the
low-sCD25 group ( P < 0.05). Conclusion: Elevated serum
sCD25 levels at initial diagnosis was associated with high-risk clinical
features and worse prognosis. sCD25 levels can predict the
progression/recurrence of LCH after treatment with first-line
chemotherapy.
A regional analysis of trace element water chemistry with applications for reconstructing environmental life history of fishes
Authors: Hamel Martin , Gerrin Wesley L.
Published: May 2024

Trace elements and minerals can be important for physiological and
biochemical functions in aquatic organisms and are also permanently
retained in metabolically inert structures in fish, such as otoliths,
which can be examined to reconstruct environmental history. Despite the
importance of trace elements for biological function and environmental
reconstruction, their distribution and dynamics in river systems is
poorly understood. The objective of our study was to quantify trace
element concentration data from across 14 river basins in Georgia, USA
to create elemental concentration profiles and illustrate how spatial
changes in water chemistry can be used to construct research hypotheses
or make management decisions using results from chemical analyses on
hard calcified parts of fish. Principal component analysis revealed
substantial variation in water chemistry among and with river basins.
Pairwise comparisons of Sr:Ca and Ba:Ca ratios were useful in
quantifying specific differences among river systems within river
basins. These data will be useful for establishing a baseline for
long-term water chemistry monitoring and provides a framework for future
fish chemistry research.
Tightened domain induced by the photo-polymerized polymers enhancing the room-temperature phosphorescence emission
Authors: Yuan Cheng , Lee Sang Yup , Huang Jingyuan , Cho Yong Ho , Liu Yujie , Ahn Dong June , Cui Chunzhi
Published: May 2024

Effectively enhancing the room temperature phosphorescence (RTP)
emission of pure organic phosphors is the goal that scholars continue to
pursue. In this study, as a novel strategy, diacetylene monomers were
introduced into a pure organic molecule, 2-(9H-carbazol-9-yl) ethanol
(CZEO). Upon UV-irradiation, the formed polydiacetylene (PDA) backbones
caused a significant enhancement of the RTP emission. RTP emission was
continuously enhanced with the time UV-irradiation. In addition, the
synergistic enhancement with the help of halogen bonds was realized by
introducing Br atoms into the CZEO unit.
Hot and hungry: A mechanistic approach to the direct and indirect effects of marine heatwaves on plankton communities
Authors: Grigoratou Maria , Serra-Pompei Camila , Kemberling Adam , Pershing Andrew
Published: May 2024

Marine heatwaves, increasingly frequent, impact marine ecosystems and
services. Still, understanding how temperature affects observed
responses remains limited due to complex interactions among temperature,
abiotic and biotic factors, and community dynamics. Here we try to fill
this gap by exposing simulated plankton communities to seasonal
heatwaves of 4°C with a trait- and size-structured model that accounts
for protists and the life cycle of copepods. Despite the short lifespans
and fast growth rates of plankton, results show that heatwaves affect
communities differently and for an extended period up to six years after
their appearance. Temperature affects species physiology and ecosystem
dynamics, directly and indirectly, shaping structure and biomass.
Species traits, interactions, and functional diversity under changing
temperatures emerge as pivotal. Our study advances mechanistic insights
into marine heatwave impacts, highlighting the complex connections
between temperature, species traits, and ecological interactions.
Intra-striatal infusion of the small molecule alpha-synuclein aggregator, FN075, fails to enhance Parkinsonism in a subclinical AAV-alpha-synuclein rat model.
Authors: Patton Tommy , Comini Giulia , Narasimhan Kaushik , Cairns Andrew , Ådén Jörgen , Almqvist Fredrik , Bemelmans Alexis , Brouillet Emmanuel , McKernan Declan , Dowd Eilis
Published: May 2024

Numerous challenges hinder the development of neuroprotective treatments
for Parkinson’s disease, with a regularly identified issue being the
lack of clinically relevant animal models. Viral vector overexpression
of α-synuclein is widely considered the most relevant model, however
this has been limited by high variability and inconsistency. One
potential method of optimisation is pairing it with a secondary insult
such as FN075, a synthetic molecule demonstrated to accelerate
α-synucleinopathy. Thus, the aim of this study was to investigate if
sequential infusion of AAV-α-synuclein and FN075 into the rat brain can
replicate α-synucleinopathy, nigrostriatal pathology and motor
dysfunction associated with Parkinson’s disease. Rats received a
unilateral injection of AAV-α-synuclein (or AAV-GFP) into two sites in
the substantia nigra, followed 4 weeks later by unilateral injection of
FN075 (or vehicle) into the striatum. Animals underwent behavioural
testing every 4 weeks until sacrifice at 20 weeks, followed by
immunohistochemistry assessment post-mortem. As anticipated,
AAV-α-synuclein led to extensive overexpression of human α-synuclein
throughout the nigrostriatal pathway, as well as elevated levels of
pathological and aggregated forms of the protein. However, the
sequential administration of FN075 into the striatum did not exacerbate
any of the α-synuclein pathology. Furthermore, despite the extensive
α-synuclein pathology, neither administration of AAV-α-synuclein nor
FN075, alone or in combination, was sufficient to induce dopaminergic
degeneration or motor deficits. In conclusion, this approach did not
replicate the key characteristics of Parkinson’s disease, and further
studies are required to create more representational models for testing
of novel compounds and treatments for Parkinson’s disease.