bluuebunny/crossref_metadata_2025 huggingface dataset:
Transforming QA Efficiency: Leveraging Predictive Analytics to Minimize Costs in Business-Critical Software Testing for the US Market
Authors: Joy Md Shaikat Alam , Alam Gazi Touhidul , Bakhsh Mohammed Majid
Published: December 2024

In the context of information assurance, specifically software testing, predictive analytics has rapidly become the ‘go-to’ solution for application QA. In this article, the author discusses the adaptation of this technology in the QA processes and its aim to optimize the processes, decrease costs and increase the quality of the software product in the USA. The study shows that through analysis of data, testing cycles can be managed effectively and defects detected before the time and resource is spent on developing and testing the unnecessary features. Main milestones are described in the paper, including data gathering, machine learning algorithms, and feedback, which show how they shifted traditional approaches to QA. Moreover, it goes a step further and discusses the application of the solution such as cost saving, efficiency and ways of decision making. This article also looks at the difficulties organizations encounter while implementing these tools such as technical issues as well as resistance from the organization and ways which can be used to ensure a proper implementation of the predictive analytics. Finally, the paper defines tendencies for the nearest future like future uses of AI in QA processes and interaction with DevOps, accentuating on their capability to contribute in the continuous advancement of software testing. The article provides practical examples of using predictive analytics in QA and demonstrates how companies can obtain tangible enhancements in product quality and reduce expenses. Therefore, the work’s conclusions could be summarized as a call to adapt and adopt predictive analytics due to the current fast pace of market evolution in software.
Effect of Sulfur and Biofertilizers on Growth Characters and Economics of Fenugreek (Trigonella foenum-graecum L.)
Authors: Samota Ashok Kumar , Chaplot P. C. , Bhinda Narendra Kumar , Choudhary Rajesh , Kumawat Lalchand , Tomar Manish , Choudhary Ruchika
Published: December 2024

A field experiment was carried out at Rajasthan College of Agriculture, MPUAT, Udaipur (Rajasthan) to study the effect of sulfur and biofertilizers on growth characters and economics of fenugreek (Trigonella foenum-graecum L.) during the rabi season of 2021-2022. Application of sulfur significantly increases growth characters and net returns and highest obtain in application of 40 kg S ha-1 over application of 30, 20 and 10 kg S ha-1 and seed inoculation with biofertilizers NPK Consortia obtain highest growth characters and net return. The experimental design was used Factorial Randomized Design (FRBD) consisted of 16 treatment combinations i.e. four levels of sulfur (10, 20, 30, 40 kg S ha-1) and four biofertilizers combinations (Control, Rhizobium, Rhizobium + PSB, NPK Consortia) these were replicated thrice.
Evaluation of Sucking Purpose Seedling Origin Mango Genotypes from South Gujarat
Authors: Patel Nikita , Tandel Y. N. , Dangariya Vipasha
Published: December 2024

A survey was carried out for sucking type seedling mango genotypes in five districts (Navsari, Valsad, Tapi, Surat & Dang) of South Gujarat region during year of 2021 to 2023. Trunk circumference ranged from 39 to 285 cm, plant spread from 1.85 to 24.51 m, leaf length from 19.33 to 33.64 cm, leaf width from 5.26 to 10.15 cm, petiole length from 2.60 to 6.16 cm, number of fruit per tree from 35 to 453, yield from 6.17 to 178 kg/tree, fruit weight from 90.49 to 500.67 g, fruit length from 6.42 to 13.82 cm, fruit width from 5.33 to 10.27 cm, pulp from 49.14 to 73.91%, peel from 10.74 to 35.50%, stone from 12.05 to 28.84%, pulp/stone ratio from 0.45 to 2.54, TSS from 11.9 to 26.3 °Brix, acidity from 0.06 to 1.25%, ascorbic acid from 10.56 to 52.59 mg/100 g, total sugars from 7.61 to 20.76 %, reducing sugars from 2.22 to 13.66%, non-reducing sugars from 0.88 to 16.59%, TSS/acid ratio from 13.76 to 279.98. Six superior genotypes, namely NMS-18, NMS-30, NMS-48, NMS-50, NMS-132, and NMS-149 were identified on the basis of desirable characteristics that was fruit weight (>150 g), pulp percentage (>60.00 %), peel percentage (<20.00 %), stone percentage (<20.00 %) and TSS (>17 °Brix).
Perubahan Tekstur, Aktivitas Air, dan Sifat Termal Dodol selama Penyimpanan sebagai Pengaruh Proporsi Santan Kelapa dan Suhu Penyimpanan
Authors: Setiavani Gusti , Sugiyono Sugiyono , Suyatma Nugraha Edhi
Published: December 2024

Dodol is an Indonesia's traditional food made from a certain combination of glutinous rice flour, coconut milk, and palm sugar. Its stability and structure during storage changed greatly due to rheological characteristics, which was dependent on the proportion of raw materials and storage conditions. This study aimed to examine changes in texture (hardness, cohesiveness, springiness, and adhesiveness), water activity, and thermal properties of dodol during storage, as well as the correlation between these parameters. A factorial design was used with two factors (proportion of coconut milk and storage temperatures) and the samples were observed over 15 days. In terms of texture, hardness and adhesiveness rose, while cohesiveness and springiness declined. Such changes were influenced by the two factors studied. Water activity and thermal properties also varied, with enthalpy changes linked to retrogradation, particularly at refrigerator temperatures. A strong correlation was found between enthalpy changes and hardness, but a weak linear correlation between enthalpy and water activity. This study concluded that the proportion of coconut milk and storage temperature became two crucial factors determining the changes in texture, water activity, and thermal properties of dodol during storage.
Homogenitas, Stabilitas, dan Konfirmasi Molekuler Biakan Kering Beku Campuran Escherichia coli dan Salmonella Typhimurium
Authors: Nurjanah Siti , Agesti Puja , Rahayu Winiati Pudji , Hasanah Uswatun , Nanda Riska Dwi
Published: December 2024

Food product testing laboratories play a prominent role in ensuring safety and quality of products manufactured by food industries; therefore, they shall comply with standards of ISO/IEC 17025:2017. Although a proficiency test for microbiological parameter is required to evaluate testing laboratories' performance in considering food product quality and safety, the existence of proficiency test organizations in Indonesia is currently still limited. This study was conducted to determine the appropriate types of cryoprotectant, evaluate the degree of homogeneity and stability of the freeze-dried cultures of Escherichia coli and Salmonella Typhimurium for preparation of proficiency testing item, as well as molecular confirmation of E. coli and S. Typhimurium bacteria using PCR. The freeze-dried cultures were prepared for the purpose of producing the proficiency testing object. Three main stages were conducted, namely cryoprotectant effectiveness test, homogenization test and stability test at 4 °C storage temperature for four different times (0, 7, 14, 65 days), as well as molecular confirmation test. The best cryoprotectant treatment was using 10% trehalose with the viabie E. coli and S. Typhimurium respectively 5.58±0.25 and 5.31±0.09 log CFU/mL. Freeze-dried culture samples of E. coli and S. Typhimurium was declared homogeneous and stable based on ISO 13528:2015 calculations. E. coli bacteria were confirmed using standard PCR with 16S rRNA primer, while S. Typhimurium was confirmed using rt-PCR with invA primer.
Separasi Garam Natrium dan Protein pada Putih Telur Asin Menggunakan Membran Ultrafiltrasi
Authors: Paradigma Hening , Sitanggang Azis Boing , Budijanto Slamet
Published: December 2024

Salted egg white desalination is a method of reducing salt levels while optimising protein yield. This study aimed to analyse the effects of membrane pore size and dilution levels on the quantity of protein and salts. The identification of rheological properties and the type of fouling that occurs during the salted egg white desalination process were also examined. The sample with the most effective desalination result was analysed for the variation of amino acid profiles before and after filtration. A completely randomised design was employed in this study, with treatment factors of membrane pore size (5, 10, and 20 kDa) and dilution levels (undiluted and 5-time dilution) with two replications. Filtering salted egg whites at each pore size of the ultrafiltration membrane retained all the proteins in the salted egg whites. Furthermore, varying the dilution level had no effect on the protein loss. The permeation weight was positively correlated with the desalination level. The fouling model simulation successfully identified the cake filtration model, with the rheological characteristics of salted egg white before and after filtration exhibiting shear thinning behaviour. The filtered salted egg whites, measured at a low shear rate, demonstrated a lower viscosity compared to sample than before filtration. The most effective treatment for salted egg white desalination was obtained by subjecting undiluted sample with 20 kDa-membrane filtration. Analysis of the amino acid profiles of the most effective treatment showed no significant changes after filtration.
Analisis Strategi Manajemen Layanan Unggul Pada PT Harum Jaya Dalam Meningkatkan Produktivitas Dan Daya Saing Yang Konsisten
Authors: Juliamida Inka Sabila , Fuad Sayed Haikal , Niser Alifah
Published: December 2024

This research analyzes the service management strategy implemented by PT Harum Jaya to improve productivity and competitiveness in the highly competitive construction sector. By adopting an integrated service management approach, the company managed to optimize the management of human resources (HR), utilize advanced technology, and establish effective collaboration with external stakeholders. The results of the analysis show that a holistic and planned strategy not only improves operational efficiency, but also maintains high quality in every project. The practical implications of this study emphasizethe importance of construction service companies to implement a comprehensive service management strategy to achieve sustainability and success in a competitive market.
Abstrak
Penelitian ini menganalisis strategi manajemen layanan yang diterapkan oleh PT Harum Jaya untuk meningkatkanproduktivitas dan daya saing di sektor konstruksi yang sangatkompetitif. Dengan mengadopsi pendekatan manajemenlayanan yang terintegrasi, perusahaan berhasil mengoptimalkanpengelolaan sumber daya manusia (SDM), memanfaatkanteknologi canggih, dan menjalin kolaborasi yang efektif denganpemangku kepentingan eksternal. Hasil analisis menunjukkanbahwa strategi yang holistik dan terencana tidak hanyameningkatkan efisiensi operasional, tetapi juga mempertahankan kualitas tinggi dalam setiap proyek. Implikasipraktis dari penelitian ini menekankan pentingnya perusahaanjasa konstruksi untuk mengimplementasikan strategi manajemenlayanan yang komprehensif guna mencapai keberlanjutan dan kesuksesan di pasar yang kompetitif.
Estrategias de innovación educativa en la educación superior. Una revisión sistemática
Authors: Muñoz Díaz Josselyn Nicole
Published: December 2024

La innovación educativa en la educación superior es crucial en la era digital, pero enfrenta desafíos debido a la disparidad en el acceso y adopción de tecnologías avanzadas. Este estudio explora la necesidad de implementar estrategias efectivas para mejorar la adopción de innovaciones en las universidades. Su objetivo principal es identificar los métodos, técnicas y herramientas más innovadores y efectivos para optimizar la formación estudiantil, haciendo la educación más accesible y eficiente. La metodología empleada fue la revisión sistemática PRISMA, reconocida en publicaciones científicas por su rigor y detalle. A través de una búsqueda exhaustiva en la base de datos SCOPUS, se seleccionaron 14 estudios relevantes que destacaron enfoques como la Gamificación, Realidad Virtual e Inteligencia Artificial con un 14.3 %, indicando una tendencia fuerte hacia la integración de tecnologías avanzadas en la educación. Métodos como Design Thinking, Aprendizaje Basado en Retos, Realidad Aumentada y Aprendizaje Práctico también tienen una presencia significativa, reflejando un interés en enfoques creativos y prácticos. Estas técnicas subrayan la importancia de la interacción, la práctica y la personalización en la educación moderna, destacando una tendencia hacia metodologías que combinan enfoques colaborativos con tecnologías avanzadas. Aunque estas innovaciones están en expansión, su implementación enfrenta desafíos que requieren una integración adaptativa en el marco pedagógico. La investigación concluye que la innovación educativa resulta esencial para preparar a los estudiantes para un entorno laboral cambiante, pero se necesita más investigación para desarrollar modelos de implementación efectivos y adaptados a diversos contextos educativos.
Inga D. Neumann: Molecular underpinnings of the brain oxytocin system and its involvement in socio-emotional behaviour: More than a love story
Authors: Neumann Inga D.
Published: December 2024

Professor Inga Neumann stands at the forefront of neuropeptide research, bringing over three decades of expertise to her role as Chair of the Department of Behavioural and Molecular Neurobiology at the University of Regensburg, Germany. Her journey in science began in East Germany at the Karl-Marx-University in Leipzig (now the University of Leipzig), where she earned both her diploma in biology and her PhD. After the fall of the Berlin Wall, her career path led her through a postdoctoral position at the University of Calgary in Canada and seven enriching years at the Max-Planck Institute for Psychiatry in Munich before assuming her current position at Regensburg in 2001. As the first woman to be appointed full professor at the Faculty of Biology and Preclinical Medicine, she has shaped the University's neuroscience landscape by establishing and directing the Elite Masters Programme in Experimental and Clinical Neuroscience. Currently, she heads the Graduate School “Neurobiology of Socio-Emotional Dysfunctions,” a prestigious program funded by the German Research Foundation since 2017. The heart of her research lies in understanding how neuropeptides, particularly oxytocin, vasopressin, and CRF, orchestrate stress responses and social behaviours. Her work spans multiple levels of analysis – from molecular mechanisms and epigenetics to neural circuits and behaviour – primarily using rodent models to unlock the mysteries of the social brain. In this Genomic Press Interview, Professor Neumann shares her reflections on a life dedicated to unravelling the intricate relationships between brain chemistry and behaviour, offering insights into both her scientific journey and personal philosophy.
Prepartum bumetanide treatment reverses altered neonatal social communication but nonspecifically reduces postpubertal social behavior in a mouse model of fragile X syndrome
Authors: Sakamoto Yui , Takano Takeshi , Shimoyama Shuji , Hiramoto Takeshi , Hiroi Noboru , Nakamura Kazuhiko
Published: December 2024

Fragile X syndrome is caused by monogenic silencing of the FMR1 gene and is characterized by high rates of autism spectrum disorder. A previous study demonstrated that prepartum administration of bumetanide, a chloride transporter blocker, normalized neonatal vocalization in non-congenic Fmr1 knockout (KO) pups. However, the genuine contribution of Fmr1 deletion to this phenotype in a congenic Fmr1 KO mouse model and the long-lasting effect of prepartum bumetanide administration on postpubertal social interaction remains unclear. The current study aimed to determine the impact of prepartum bumetanide administration on vocalization at postnatal day 7 and social interaction at 6 and 8 weeks of age in a congenic Fmr1 KO mouse model in which the genetic backgrounds were homogeneous between KO and wild-type (WT) littermates. Moreover, we applied a computational analytical algorithm and determined predictive variables of neonatal vocalization for postpubertal social interaction. Our data showed that (1) KO mice exhibited altered numbers and sequences of distinct call types during neonatal vocalization and reduced social interaction at 6 weeks, (2) select sets of neonatal vocalization variables predicted postpubertal social interaction levels, and (3) bumetanide restored neonatal vocalization in KO pups but nonspecifically reduced social interaction in WT and KO mice at 6 weeks. These data indicate that Fmr1 deletion selectively impacts distinct elements of neonatal vocalization and postpubertal social interaction. Additionally, bumetanide selectively restores neonatal vocalization but has a transient nonspecific negative impact on subsequent postpubertal social interaction.
TRANSFORMATIVE LEARNING AND TEACHING
Authors: Chiabrishvili Ketevan , Kropadze Tinatin
Published: December 2024

During the pandemic, under the conditions of a developing economy and low technological development, the education sector became one of the most vulnerable sectors in Georgia. Due to the situation at hand, both general and higher educational institutions in Georgia faced a serious challenge. The choice was twofold: either the learning process had to stop, or it had to continue in a safe environment. To continue the educational process, by moving to online teaching was for two years the only option.
The goal of our project is to evaluate the achievements, challenges, and outcomes in the transformative educational reality and offer recommendations to interested parties.According to the research goal, the research objectives are:
1. To study the opinions of the members of the community (administration members, professors, teachers, instructors, junkers) about the positive and negative aspects of teaching and learning management under the new reality;2. To analyze these opinions;3. Based on the analysis, to develop a set of recommendations for transformative learning and teaching.
The research is conducted based on desk and field studies.
As a result of the research: a) local and international experiences in the management of transformative education were studied; b) the opinions of the community members were defined regarding transformative learning and teaching; c) a recommended framework for transformative learning and teaching was created, which will be available to all parties interested in educational issues.
GENDER IN POLITICS
Authors: Melkadze Kaltamze
Published: December 2024

Democracy means to understand the opinion of each person. Nowadays, to defend women’s rights and strive for equality are one of the biggest challenges of the modern world. The measurement of democracy is the involvement of women in a decision-making process and the quality of human rights’ defense. A little amount of women involvement in political life is equally characteristic of both experienced and relatively young democracies. General elective right won’t be able to provide a high level of women representation.
Gender stereotypes make negative influence on the functioning of society. Its effectiveness is much more noticeable on post-soviet countries than on western liberal states. Women’s participation in politics is low and it should be improved to meet the requirements of international norms and standards of gender equality. Gender inequality hinders the development of individuals or the whole country, also society evolution and helps to create unfavorable environment for men and women. Society finds it difficult to accept the idea of gender equality, as it does not recognize the essence of the problem. The establishment of gender quota will make a significant contribution to ensuring gender equality, improving state mechanism, making decisions and integrating gender mainstreaming organically.
POSITION OF GEORGIA AND INFLUENCE OF KARABAKH CONFLICT ON REGIONAL SECURITY
Authors: Khozrevanidze Khvicha , Tsatsiashvili Giorgi
Published: December 2024

In 2020, the conflict between Azerbaijan and Armenia broke out again in Nagorno Karabakh. Consequently, there were a number of battles due to worsening situation. Both sides try to get military advantage by getting their “allies” involved into the battle.
A level of Importance of neighbor states’ positions into that conflict was too high, especially Russian Federation and Turkey who were concerned as sides of conflict. Those two states were actively involved with political and military power in Karabakh’s war.
Result of this war vas vitally important to South Caucasian states’ regional security and future in general.
There was an assumption if the war had continued for a long, South Caucasus would have become a hot spot in region. Also, it’s being considered that situation was tensioned in the Middle East as well which might have had affected on situation in our region.As I mentioned above, besides Armenia and Azerbaijan there were two neighbor countries Turkey and Russia, considered as conflict sides. They were trying to take advantage in that conflict and spread their influence in region more. It must be underlined that Russia got a good chance to re-activation in Caucasian region. For that Karabakh war was one of the best chances. However Turkey’s position was counter wise and against Russia’s will to get more influence over Caucasus. Turkey had its own interests in Region and tried hard to use this conflict to weaken Russia’s positions and spread its own.
It’s important to mention that Georgia’s position as a neutral state was quite different from involved countries; therefore, Georgia’s interests were different from Turkey’s and Russia’s goals. Personally for Georgia, Russia’s influence is a huge disadvantage because RF has occupied more than 20% of Georgia.
Georgia came up many times with a message to cease fire and solve conflict peacefully.
Applications of Shearography for Non-Destructive Testing and Strain measurement
Authors: Rojas-Vargas Fernando , Pascual-Francisco Juan Benito , Hernández-Cortés Tonatiuh
Published: December 2024

Non-Destructive Testing (NDT) technologies have gain importance recently due to the demand of high quality and costs optimization in products. Thus, optical non-contact techniques have been developed, which also have been well accepted in the industry. This work present a background of developments and applications of shearing speckle pattern interferometry, known as shearography, for NDT analysis. Also, some important experimental results, from authors, for NDT analysis and strain measurement are reported.
Communication of Mobile Devices with Bioinspired Algorithms
Authors: Hernández-Huerta Eduardo , Neri-Muñoz Martín , Aparicio-Lozada Jose Fernando , Díaz-Parra Ocotlán , Benítez Morales José Gerardo , Magaña-Méndez Mario Alberto , Zamora Campos Luis Alberto
Published: December 2024

At present, the complexity of the communication problem between mobile devices is a subject of study among the scientific community, since several researchers have been given the task of proposing a better solution using different types of algorithms, in this article we will focus on the search for communication proposals between mobile devices that use bioinspired algorithms.
Some of these algorithms are inspired by neural networks, immune system, swarm of bees, termites, flock of birds, fish, to name just a few. Each of the aforementioned algorithms are inspired by nature, what is intended in this article is to try to understand how these animals communicate with each other to achieve their objectives.
Mainly we will focus on the imitation of communication, and examining the work done we will realize which is the most optimal to help us optimize times and improve communication on mobile devices.
Problems in pregnancy, modeling fetal mortality through the Naïve Bayes classifier
Authors: Jurado Israel Campero , Camarillo Daniel Robles , Acevedo Eric Simancas
Published: December 2024

Fetal mortality represent a problem in society, deaths are related to different causes. However, there are also a large number of unknown causes. Studies around the world, broadly speaking, have found that a total of 275,914 strong fetuses occurred in the United States between 2004 and 2014 compared to 7,571 maternal deaths. The Gaussian Naïve Bayes classifier is presented to assist in the reduction fetal mortality with 4 variables obtained through INEGI which are: gender, gestational age, maternal age, fetuses (a single pregnancy or a multiple pregnancy). The sample has a total of 2000 data where there is a balance of classes with 50% of cases of fetal death against 50% of births without complications in the year 2017. As a result the number of mislabeled points out of a total 400 points were 17. With a percentage of 96%, 96% and 96% for meaures precision, recall and f1-score respectively.
Application of genetic algorithm on autonomous agents for virtual navigation in Unity3D
Authors: Rubio-Sandoval Jesús Iván , Rodríguez-Rodríguez Adolfo Josué , Martínez-Rodríguez Jose Lázaro , Vargas-Requena David Tomás , Huerta-Mendoza Juan Carlos , Rodríguez-Rodríguez Wenceslao Eduardo
Published: December 2024

This paper presents a software implementation of genetic algorithms on autonomous agents that can navigate a virtual environment created in Unity3D to find an indicated destination. The fitness of the autonomous agents is calculated mainly through a proposed fitness function, which evaluates the performance to heuristically find a destination on three different scenarios with different difficulty and simulation parameters. Based on the obtained results, it is determined that the complexity of the scenarios, the established parameters, and the randomness of the algorithm affect the performance of individuals in finding their destination, but without the need to establish a map of predefined routes.
Editorial: P versus NP problem from Formal Languages Theory View
Authors: Ruiz-Vanoye Jorge A. , Díaz-Parra Ocotlán , Trejo-Macotela Francisco Rafael , Ramos-Fernández Julio Cesar
Published: December 2024

P versus NP is an unsolved problem in mathematics and computational complexity. In this paper, we use the formal language theory to the computational complexity to analyze P versus NP problem from a new point of view. P versus NP problem is to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. Then, we use the theory of formal languages to determine whether some deterministic algorithm also accepts every language accepted by some nondeterministic algorithm in polynomial time in polynomial time. We use different problems to display the question of P versus NP from Formal Languages Theory View.
Adventure video game modeling for the teaching of mathematics in basic education
Authors: Osorio Omar Martínez , Zaragoza Juan Manuel Martínez , Matías Josué Neftalí García , Ortíz Alberto de Jesus Díaz
Published: December 2024

Basic mathematics can be complicated from primary education if the class is based on the presentation of the teacher and the explanation of basic topics instead of allowing students to investigate the topics and develop their own knowledge. In this sense, constructivism proposes that the necessary tools be granted to students with the aim of converting a boring and theoretical class into dynamic and fun. That is why taking advantage of the advantages offered by video games based on learning, the design and logic of an adventure videogame to teach mathematics to elementary school students is proposed, with the aim of providing a tool to educators that allows strengthening the student learning process in this area.
Comparative analysis of the prediction and classification accuracy of artificial neural networks with respect to traditional statistical methods
Authors: Belman-López Carlos , Jiménez García José Alfredo , Vázquez López José Antonio
Published: December 2024

ANNs are flexible tools that have shown utility as function estimators and prediction methods in Data Mining, Machine Learning, among others. The aim of this research is to carry out comparative analysis of the prediction and classification accuracy between artificial neural networks and traditional statistical methods. To carry out this comparative analysis, different cases of prediction and supervised classification were selected. The samples of the different cases were divided into samples for training and validation. Finally, a comparative analysis of the prediction and classification accuracy between artificial neural networks and traditional statistical methods was obtained, using the sum of squared errors (SSE), the coefficient of determination (R2), among others.
Editorial: From traditional Information Technology to Serverless. A novel approach to monitor mobile phones using concepts and principles of Industrial Internet of Things
Authors: Contreras-Masse Roberto , Ochoa-Zezzatti Alberto , Elizondo-Cortés Mayra , Torres Vianey , García Jiménez Vicente , Mejía José
Published: December 2024

The incorporation of smartphones and smart devices in daily business activities and processes is widespread in several industries. Due to its high use, it is required to monitor the device’s health and uses patterns to achieve business continuity and conduct code compliance. The monitoring activity is currently implemented in the traditional IT paradigm, either on premises or in the cloud, deploying the solution in servers with fixed capacity and cost involved.  This research proposes a novel approach to changing the paradigm by considering smart devices as one live entity with many health metrics ready to exploit their telemetry for monitoring IIoT concepts. The proposed approach introduces the serverless computing paradigm in the cloud to implement IIoT telemetry gather activity at lower costs with scalable capacity, and pro- poses the new architecture that can be implemented by different enterprises in any industry where smartphones and devices are part of daily business activities.
An Enhanced Method for Diagnosis of Bacterial Vaginosis based on Support Vector Machines with Linear Kernel
Authors: Pérez-Gómez Jesus Francisco , Canul-Reich Juana , De La Cruz-Hernandez Erick
Published: December 2024

Bacterial Vaginosis (BV) is a pathological condition that causes complications in women’s health. Efforts to characterize it have failed to reveal a BV etiology. In this work, the Support Vector Machine (SVM) is used as base classifier in three different scenarios to identify between classes of VB. The first scenario uses the entire feature set in the dataset. The second scenario uses two sub-datasets created with the features in two rankings obtained from previous work. The third scenario uses one feature at a time to create classifiers. Performance measures in each are given. The dataset used is a real vaginal microbiology test of 201 women from Tabasco, Mexico. Results show SVM surprisingly obtained 100% accuracy in a classifier made of a single feature. This research is a first effort to lay the groundwork for computer-based BV diagnosis as advice.
Improved Twitter Virality Prediction using Text and RNN-LSTM
Authors: Maldonado-Sifuentes Christian E. , Sidorov Grigory , Kolesnikova Olga
Published: December 2024

The matter of influence and virality in social media has been studied since the popularity explosion of these platforms. A gargantuan amount of news and political messaging transits through Twitter every second, making it a formidable force for the propagation of information. In order to stay competitive, traditional media needs to participate in these platforms and attain influence. We propose a method to predict the influence of news tweets. To this end we use several thousand tweets to train a RNN-LSTM to classify news tweets as influential or not influential using a corpus of 5000 automatically labeled tweets according to their influence. Our method reaches an F1 of 0.83, while training and classifying in under 300 seconds.
EDUCATION IN THE CONDITIONS OF GLOBALIZATION
Authors: Petrosyan Hayk
Published: December 2024

The article examines the main trends in the development of the education system in the context of globalization, its impact on public policy, economy, culture and education. The issues of modernization of the education system of Armenia, reforms in the field of education in the processes of entering the world educational space, the functions of education with other social and public institutions are discussed. Positive and negative trends arising in this process are presented.
Development of a Model for the Implementation of Medical Policies in Hospitals of Southeast Iran University of Medical Sciences with a Jihadi Management Approach in the Style of Martyr General Qasem Soleimani
Authors: Nazeri Behnood , Sharafi Shahin , Madahian Shiva , Mohammad Bagheri Mahdi
Published: December 2024

This study aims to develop a model for the implementation of medical policies in hospitals of Southeast Iran University of Medical Sciences, based on a jihadi management approach inspired by Martyr General Qasem Soleimani's style. A qualitative research method (thematic analysis) was used, involving interviews with 17 experts in the field of medical policies. In-depth interviews were conducted with experts from hospitals affiliated with Southeast Iran University of Medical Sciences to identify the dimensions and components of medical policies within the jihadi management framework of Martyr General Qasem Soleimani's approach. The data obtained from the qualitative phase were analyzed using NVivo software (version 11). In the quantitative phase, descriptive statistics (various indices, tables, and statistical charts) and inferential statistics were applied using SPSS (version 23), SMART PLS (version 3.3), and Expert Choice (version 11), with a significance level set at 0.05. The results revealed that the extracted concepts related to the model for implementing medical policies in hospitals of Southeast Iran University of Medical Sciences with a jihadi management approach inspired by Martyr General Qasem Soleimani’s style included 82 initial codes, 23 basic themes, and 9 organizing themes.
Identifying Dimensions and Components of Global Citizenship Education in First-Year Secondary Schools Using Thematic Analysis
Authors: Shirzadi Mitra , Al-Zamani Mohammad Saheb , Mohammad Davodi Amir Hossein
Published: December 2024

The primary aim of this study is to identify the dimensions and components of global citizenship education in first-year secondary schools using the thematic analysis technique. The research method is mixed (qualitative-quantitative). In addition to document analysis, the study employs thematic analysis using MAXQDA12 software to identify factors and components. The statistical population includes all faculty members with assistant professor rank or higher in the fields of educational management, higher education management, and educational technology, as well as principals and teachers of first-year secondary schools. Theoretical saturation was achieved after conducting 14 interviews. Ultimately, basic, organizing, and overarching themes were extracted. In the quantitative phase, structural equation modeling was used to determine the impact and rank of dimensions and components. Based on the semi-structured interviews, eight dimensions (ethical citizenship education, education for civic engagement and responsibility, education for peace and reconciliation, environmental citizenship education, education for global identity, education for global competence, education for scientific and practical knowledge, and student technology literacy) and 53 components (organizing themes) for global citizenship education in first-year secondary schools were identified. Subsequently, a researcher-developed questionnaire revealed the following ranking of priorities: education for global identity (coefficient = 0.942), education for global competence (coefficient = 0.937), education for peace and reconciliation (coefficient = 0.928), environmental citizenship education (coefficient = 0.921), education for civic engagement and responsibility (coefficient = 0.871), ethical citizenship education (coefficient = 0.862), education for scientific and practical knowledge (coefficient = 0.827), and student technology literacy (coefficient = 0.795).
Comparison of the Effectiveness of Cognitive-Behavioral Therapy and Schema Therapy on Improving Adaptive Behavior in Individuals with Substance Use Disorder
Authors: Salamian Samaneh , Heidari Mostafa , Norouzi Asghar
Published: December 2024

Objective: The objective of this study was to compare the effectiveness of Cognitive-Behavioral Therapy (CBT) and Schema Therapy in improving adaptive behavior among individuals with substance use disorder.

Methods and Materials: This quasi-experimental study employed a pretest-posttest-follow-up design with a control group. The study sample consisted of 45 individuals with substance use disorders, who were randomly assigned to three groups: a CBT group, a Schema Therapy group, and a control group. Participants underwent 12 sessions of CBT or 15 sessions of Schema Therapy. Data were collected using the Bell Adjustment Inventory, which assessed various components of adaptive behavior, including family, health (physical), emotional, occupational, and social aspects. Data analysis was conducted using univariate analysis of covariance (ANCOVA) and Bonferroni post-hoc tests to determine the differences between groups at posttest and follow-up stages.

Findings: The results demonstrated that CBT significantly improved adaptive behavior compared to the control group at both the posttest and follow-up stages, with a 1.79-point increase in the posttest and a 2.05-point increase in the follow-up. Schema Therapy did not show a significant difference compared to the control group in either stage. Additionally, CBT was found to be more effective than Schema Therapy in improving adaptive behavior, with a 1.57-point increase at the posttest and a 1.81-point increase at the follow-up. The improvement was significant across various components, including family, emotional, and occupational aspects, particularly in the CBT group.

Conclusion: Cognitive-Behavioral Therapy was more effective than Schema Therapy in enhancing adaptive behavior in individuals with substance use disorders. The study suggests that CBT could be a valuable intervention for improving adaptive behaviors and reducing negative emotional responses in this population.
Comparative Efficacy of Group and Individual Cognitive Therapy for Adolescents' Anti-Social Behaviors and Responsibility
Authors: Ebrahimi Taghizadeh Khosro , Moradov Hassan Shah
Published: December 2024

Objective: This study aimed to investigate the comparative effectiveness of group and individual cognitive therapy interventions in reducing anti-social behaviors and enhancing responsibility among adolescents.

Methods and Materials: Forty-five male adolescents aged 12 to 18 years from Sari, Iran, were randomly assigned to group cognitive therapy, individual cognitive therapy, or a control group. Participants completed pre-test and post-test assessments of anti-social behaviors and responsibility using standardized measures. Analysis of covariance (ANCOVA) and pairwise comparison t-tests were conducted to evaluate treatment effects.

Findings: Both group and individual cognitive therapy interventions yielded significant reductions in anti-social behaviors (Group CT: M_pre = 26.35, M_post = 19.65; Individual CT: M_pre = 25.80, M_post = 18.90) and increases in responsibility (Group CT: M_pre = 30.10, M_post = 35.25; Individual CT: M_pre = 29.85, M_post = 35.60) from pre-test to post-test (p < 0.001). Pairwise comparison t-tests indicated significant differences between intervention groups and the control group in both outcome variables (p < 0.001).

Conclusion: The findings suggest that both group and individual cognitive therapy interventions are effective in addressing anti-social behaviors and promoting responsibility among adolescents. These results underscore the potential of cognitive therapy approaches to improve behavioral functioning and enhance adolescents' well-being.
Effectiveness of Schema Therapy on Anxiety and Social Adaptation in Delinquent Adolescents
Authors: GhodsiKhorasani Bahareh , Jouhari Tina , Moghtaderi Shabnam , Sabeti Parasto
Published: December 2024

Objective: This study aimed to determine the effectiveness of schema therapy on anxiety and social adaptation in delinquent adolescents in the beautiful city area of Tehran.

Methods and Materials: Our research method was a quasi-experimental design with a pre-test and post-test along with a control group and a follow-up phase. The statistical population of this study included all delinquent adolescents registered at the Juvenile Correction and Training Center in the beautiful city area of Tehran in 2021. The sample of this study consisted of 32 male adolescents aged 14 to 18 years, who were selected through purposive sampling. They were then divided into two groups of 16, comprising one experimental group and one control group. The experimental group received 12 sessions of schema therapy. Data were collected using the Social Anxiety Scale for Adolescents (SASA) and the Pike and Wiseman Social Adjustment Questionnaire (1999) and analyzed using repeated measures ANOVA in SPSS22 software.

Findings: The results of this study showed that there was a significant difference in social anxiety and social adaptation in the treatment group compared to the pre-test (P < 0.05). Also, a significant difference was observed in the follow-up phase compared to the pre-test (P < 0.01). However, no significant difference was observed in the follow-up phase compared to the post-test (P > 0.05).

Conclusion: The results indicate that schema therapy can be effective in reducing anxiety and improving social adaptation in delinquent adolescents.
The Impact of Childhood Traumas on Academic Procrastination with Parent-Adolescent Conflict Mediation in Female Students
Authors: Moradi Dolatabadi Mozhgan , Sobhi Afsaneh , Ahmadi Mohammad Saeid
Published: December 2024

Objective: Academic procrastination is a prevalent issue among adolescents that can negatively impact their educational outcomes. This study aimed to investigate the effects of childhood traumas and parent-adolescent conflict on academic procrastination among female high school students in Karaj. It also sought to examine the potential mediating role of parent-adolescent conflict in the relationship between childhood traumas and academic procrastination.

Methods and Materials: The study utilized a cross-sectional design with a sample of 384 female high school students selected via cluster random sampling from Karaj. Data collection was conducted using validated self-report questionnaires: the Childhood Trauma Questionnaire, the Conflict Behavior Questionnaire for assessing parent-adolescent conflict, and a standard Academic Procrastination scale. Descriptive and inferential statistical analyses, including correlation and regression analyses, were performed using structural equation modeling.

Findings: The results indicated significant direct effects of childhood traumas and parent-adolescent conflict on academic procrastination. Specifically, higher levels of childhood traumas were associated with increased academic procrastination (β = .201, p < .001). Similarly, parent-adolescent conflict was positively correlated with procrastination (r = .25, p < .01). However, the indirect effect of childhood traumas on academic procrastination through parent-adolescent conflict was not significant (β = -.006, p = .747).

Conclusion: This study underscores the impact of childhood traumas and parent-adolescent conflicts on academic procrastination. The findings highlight the importance of addressing these factors within educational and psychological interventions to support the academic success and well-being of students. Future research should explore longitudinal relationships and consider additional mediating variables.
Effectiveness of a Counseling Package Based on Preventing Academic Procrastination on Learning Behaviors and Its Components
Authors: Karevan Brojerdi Kiyana , Shariat Bagheri Mohammad Mahdi , Salehi Keyvan
Published: December 2024

Objective: Academic procrastination is a common problem that negatively impacts students' academic performance and overall life. This study aimed to evaluate the effectiveness of a counseling package based on students' lived experiences in preventing academic procrastination and its effect on improving learning behaviors and their components among female middle school students.

Methods and Materials: This quasi-experimental study employed a pre-test, post-test, and follow-up design with a control group. The sample consisted of 60 female middle school students from Tehran, equally divided into experimental and control groups. The intervention included 12 counseling sessions lasting 60-90 minutes, focusing on various aspects of behavior, cognition, communication, motivation, and emotion. Data were collected using a standardized scale for learning behaviors and analyzed using SPSS version 26 with descriptive statistics and repeated measures ANOVA.

Findings: ANOVA results showed significant improvement in the experimental group compared to the control group (p < 0.01). The Bonferroni post-hoc test indicated an increase in learning behaviors and their components in the post-test (p < 0.01), with effects persisting in the follow-up (p < 0.05).

Conclusion: The counseling package based on students' lived experiences effectively improves learning behaviors and their components. This approach can be integrated into educational programs to support students in overcoming procrastination and achieving better academic performance and improved mental health.
Prediction of Academic Procrastination Based on Attachment Styles, Family Relationships, Personality Traits, and Academic Enthusiasm
Authors: Hamdan Kafi Ali , Yousefi Zahra , Hassan Obaid Radhi , Sajjadian Ilnaz
Published: December 2024

Objective: The aim of this study was to predict academic procrastination based on attachment styles, family relationships, personality traits, and academic enthusiasm among students in Divaniye, Iraq.

Methods and Materials: This research was descriptive and correlational in nature. The statistical population consisted of male and female students from Divaniye. A convenience sample of 300 male and female students was selected. Research instruments included the Solomon and Rothblum (1984) Academic Procrastination Questionnaire, the Armsden and Greenberg (1987) Inventory of Parent and Peer Attachment, the Olson and Barnes (2004) Family Relationship Questionnaire, the Costa and McCrae (1992) Five-Factor Personality Questionnaire, and the Fredericks et al. (2004) Academic Enthusiasm Questionnaire. Results were analyzed using both descriptive statistics (mean and standard deviation) and inferential statistics (Pearson correlation and stepwise regression).

Findings: The findings indicated that neuroticism and insecure attachment styles to peers and parents had a significant positive relationship with academic procrastination. In contrast, secure attachment styles to parents and peers, openness to experience, conscientiousness, and academic enthusiasm had a significant negative relationship with academic procrastination. Extraversion and agreeableness did not have a relationship with academic procrastination. The stepwise regression results showed that openness to experience, conscientiousness, academic enthusiasm, and secure attachment styles to peers and parents could predict academic procrastination.

Conclusion: In sum, the results indicated that all the mentioned variables had a significant relationship with procrastination except for extraversion and agreeableness. Additionally, among these correlated variables, personality traits had the power to predict procrastination.