bluuebunny/crossref_metadata_2025 huggingface dataset:
The Evaluation of The Effectiveness of Nosocomial Infection Control Strategies on Antibiotic Resistance at Hospital X
Authors: Studiviani Dwi Binuko Raafika , Sutrisna Em , Masyita Dewi Listiana , Diana Risanti Erika
Published: November 2024

The primary issue in this study is the high incidence of nosocomial infections, indicating the need to evaluate the effectiveness of infection control strategies. The objective of this study is to analyze the relationship between various infection control strategies and the incidence of nosocomial infections, along with other related factors. The method used is a correlation analysis between infection control strategies, the incidence of nosocomial infections, antibiotic resistance rates, hygiene standards, patient age, patient gender, and the number of beds. The analysis results show a perfect positive correlation between infection control strategies and the incidence of nosocomial infections (r = 1.00), indicating that the implementation of effective strategies can significantly reduce nosocomial infections. A moderate positive correlation was found between infection control strategies and antibiotic resistance rates (r = 0.50) as well as hygiene standards (r = 0.52), suggesting that good strategies can also reduce antibiotic resistance and improve cleanliness. Conversely, the correlation between infection control strategies and the number of beds (r = 0.06) and patient age (r = -0.09) is weak, indicating that these factors do not significantly influence the effectiveness of the strategies. These findings underscore the importance of focusing on hygiene and infection control policies to reduce nosocomial infections and antibiotic resistance.
Determining A Micro, Small And Medium Enterprises (MSME) Cluster Development Strategy Using Swot Analysis and The Business Model Canvas Approach
Authors: Alia Akhmad Khabib , Suyatno Agus , Alya Ayu Patricia Bellinda
Published: November 2024

This research aims to formulate a strategy for developing the Micro, Small and Medium Enterprises (MSME) cluster using SWOT Analysis and the Business Model Canvas (BMC) approach. The aim of this research is to identify internal and external factors that influence the MSME cluster and map existing business models in order to formulate effective strategies. The methodology used is a qualitative approach with case studies, involving data collection through in-depth interviews, observations and literature studies. The SWOT analysis revealed key strengths such as adaptability and government support, but also identified weaknesses in technology access and management. Meanwhile, BMC helped map out the important elements of the MSME cluster business model, showing the need for product diversification and expansion of the distribution network. The findings of this research lead to a comprehensive development strategy, such as increasing technology access and market diversification, which is expected to increase the competitiveness and sustainability of the MSME cluster in the future.
Artificial Intelligence'S Role In Predictive Analytics For Patient Mental Health Care
Authors: Regina Putri Frestiany , Ratri Sukmaningsih Wahyu , Mukaromah Maulina
Published: November 2024

The aim of this study is to analyze the use of AI in mental health care using case-based reasoning methods, which generate treatment solution recommendations from previously occurring cases.
Chatbot Interactions and Customer Loyalty: Analyzing The Role of Personalization and Responsiveness
Authors: Mulyanto Dody , Pradiska Budi Agustyarum
Published: November 2024

This study aims to analyze the role of chatbots in enhancing customer loyalty by assessing how aspects such as personalization and responsiveness affect customer experience. The study sampled 250 respondents who use customer service in e-commerce companies in the city of Surakarta. The research employed multiple linear regression techniques. The results indicate that personalization and responsiveness in chatbot interactions are factors that play a positive and significant role in increasing customer loyalty. Quick and accurate chatbot interactions that align with customer needs can provide assurance and reduce uncertainty and customer frustration. This study is limited to examining the aspects of personalization and responsiveness in chatbot interactions concerning customer loyalty, and the scope of the research is restricted to customers in the city of Surakarta. Future research opportunities could explore other aspects beyond personalization and responsiveness and expand the research scope beyond just Surakarta.
Proposal for Improving the Work Posture of Stitching Station Operators at CV. Indonesia Jaya Using the Rapid Upper Limb Assessment
Authors: Rodhian Syahrul , Agusti Febrina , Filemon Waluyono Garnet
Published: December 2024

This study evaluates the effectiveness of the Rapid Upper Limb Assessment (RULA) method in improving work posture in industrial settings. Poor posture can lead to musculoskeletal disorders and reduced productivity. Using a quantitative approach, RULA was applied across several production departments, with data collected through direct field observation. The analysis shows that RULA significantly improved work posture, reduced discomfort, and lowered the risk of musculoskeletal injuries. The study supports RULA as an effective tool for posture improvement and recommends integrating regular ergonomic evaluations into work design.
Market Failure Factors And Risk Management Of Hydroponic Melons At Mantri Melon Farm
Authors: Asfarida Tiara , Setiyani Rahmawati , Sepfrian Bimoseno
Published: December 2024

This study aims to analyze the factor that cause market failure at Mantri Melon Farm Agritourism and identify effective market risk management efforts. Mantri Melon Farm, as an agritourism destination that relies on hydroponic melon production, faces significant challenges in maintaining its market share. Through a qualitative approach, data was collected from interviews with the owner Mantri Melon, farmers and Mantri Melon employees. This research was conducted in May-June at Mantri Melon Farm Agrotourism. The results show that the main factor of market failure is asymmetric information. Efforts to overcome this are suggested with empowerment through education and increased literacy to have more equal access to information related to relevant issues, so that they are better able to make the right decisions, improve product quality, and maintain good relations with the market. The implementation of these strategies is expected to minimize market risk and ensure the sustainability of Mantri Melon Farm's business.
Intelligent Traffic Sign Detection Using Yolov9
Authors: Pradana Afu Ichsan , Harsanto Harsanto , Maulindar Joni
Published: December 2024

This research examines the automatic detection and classification of traffic signs using artificial intelligence (AI) and computer vision technologies. As urban traffic increases, quickly and accurately recognizing traffic signs becomes a challenge, especially under adverse conditions such as bad weather and limited visibility. Conventional technologies that rely on human vision are prone to errors, so an automated solution is needed. This research uses the YOLOv9 algorithm for real-time traffic sign detection, utilizing the Generalized ELAN (GELAN) architecture that combines the advantages of CSPNet and ELAN for efficiency and accuracy. The dataset used consists of 1924 images processed through various stages, including data augmentation and normalization. The model was trained for 15 epochs with fairly high accuracy results in the prohibitory, danger, and mandatory sign categories. However, there were still some misclassifications, especially in the prohibitory category which was sometimes mistakenly detected as another category or background. Overall, the model performed well in detecting traffic signs in various environmental conditions, but still needs improvement to increase accuracy in certain cases.
Analysis of Factors Affecting Self-care of Type 2 Diabetes Mellitus Patients
Authors: Siwi Artini Kusumaningtyas , Irawan AM Ady
Published: December 2024

Diabetes mellitus is a chronic disease characterized by increased blood sugar levels due to interference with insulin production or decreased sensitivity of insulin receptors in the body. Diabetes itself cannot be cured so it requires intensive treatment, especially proper self-care to support the patient's life. The aim of this study was to determine the factors that influence the self-caring of type 2 diabetes mellitus patients undergoing outpatient care at Dr. RSUD. Moewardi Surakarta. This research was carried out observationally with a cross-sectional design. Self-care measurement uses the Diabetes Self-care Management Questionnaire (DSMQ) instrument. The results of this study show that of the 167 responses involved, 131 respondents (78.4%) had good self-care and 36 respondents (21.6%) had poor self-care. Data analysis using chi-square showed that age, gender, education, marital status, employment and duration of DM had no effect on the patient's self-care (p>0.05).
Business Performance In Entrepreneurship Study In The Process Of Student Business Sustainability
Authors: Wahyu Utami Indah , Osman Sharina , Nur Savira Dewi Saputri Lisa , Diva Febriana Valentina
Published: December 2024

Business sustainability is a concept that makes business beneficial for the economy and the environment and people's lives. One of the indicators of business sustainability is the optimization of business performance. Student business startups are businesses run by students that are expected to produce sustainable business performance. Business performance in entrepreneurship studies in clouding the business sustainability process of students needs to be carried out through the implementation of Green HRM (GHRM) by focusing on human resource practices and entrepreneurial intentions owned by students. If you have optimized good business performance, so that in the future it can increase business sustainability among entrepreneurial students.
Hematocrit Levels In High Work-Intensity Individuals: Study In Construction Workers
Authors: Sih Prabandari Anggraeni , Che Azmi Norhaida , Dwi Astiti Erna
Published: December 2024

Background: Physical activity carried out by humans causes the muscles to contract and a heat response arises in the body which is activated by the anterior hypothalamus resulting in skin vasodilation and sweating. The heat response also causes changes in the circulation of the heart and respiratory system so that the rate of metabolism in the muscles increases. This increases the dilation of blood vessels resulting in a decrease in plasma (intravascular fluid) which causes hemoconcentration and increases hematocrit levels. Construction workers have strenuous physical activity so it is possible to have a higher hematocrit level than others. Objective: This study aims were to determine the level of hematocrit in construction project workers. Method: It was descriptive analysis. The number of samples were 30 people, male sex. The sample used is blood. Hematocrit levels were analyzed with an automatic hematology analyzer. Result: 93,4% (24/30) of respondents aged 26-35 years. The result of measuring hematocrit levels found that 80% (24/30) had normal hematocrit levels, while 20% (6/30) had low hematocrit levels (hemodilution) and found no hemoconcentration. Conclusion: There is no increase in hematocrit levels in construction workers who are affected by physical activity.
Systematic Review Therapeutic Positions Are Able To Improve The Hemodynamic Status Of Acute Decompensated Heart Failure (Adhf) Patients
Authors: Rahmasari Ikrima , Irawan AM Ady , Najib Hassan Ahmad , Andita Febriana Andita
Published: December 2024

Background: Acute Decompensated Heart Failure (ADHF) is acute heart failure which is defined as a rapid onset of symptoms due to abnormal heart function. These dysfunctions include systolic and diastolic dysfunction, heart rhythm abnormalities, or preload and afterload imbalances. ADHF is a new attack without previous heart defects, or is decompensation of chronic heart failure (Chronic Heart Failure) that has been experienced previously. ADHF occurs when cardiac output cannot meet the body's metabolic needs. Objective: in this study, namely to determine the results of a literature review of the effect of therapeutic positions on hemodynamic status in ADHF patients. The method in this research is a literature review method using a literature search strategy through online media which includes searching on Google Scholar, PubMed, Research Gate, Elsevier, NCBI. Results: Based on the results of the literature review, all studies (4 studies) reviewed showed results of improvement in hemodynamic status, namely respiratory frequency, oxygen saturation (SaO2), blood pressure, heat rate, and CRT in ADHF patients who were given therapeutic position intervention: semi fowlershows increased oxygen saturation, decreased shortness of breath, stable blood pressure, hate rate, and respiratory rate. Conclusion: The therapeutic position, namely the semi fowler position, has an effect on improving the hemodynamic status of ADHF patients
Rotary Evaporator Design And Equipment Performance To Increase The Concentration Of Moringa Leaf Extract
Authors: Bagus Pratama Wisnu , Parida Hutapea Henny , Parida Hutapea Henny , Ambarwati Septiana
Published: December 2024

The process of extracting active compounds from Moringa leaves requires efficient techniques so that active compounds can be isolated in high concentrations without damaging the chemical structure. The tool commonly used is a rotary evaporator. This research analyzes the percentage of solvent evaporation using a Rotavap Extractor and a conventional rotary evaporator. Both tools aim to maximize solvent evaporation by retaining active compounds from the extract. This research compares the effectiveness of the two tools based on the percentage of solvent evaporated and the viscosity of Moringa leaf extract with different time variations (40, 60, 80 minutes). The percentage of solvent that evaporates has an important role in determining the concentration and viscosity of Moringa leaf extract. As more solvent evaporates, the extract becomes more concentrated, increasing the viscosity due to the high concentration of active compounds. The percentage of solvent evaporated and viscosity show the same trend between the conventional rotary evaporator and the rotavap extractor, this indicates that both devices work with similar efficiency in evaporating solvent from Moringa leaf extract.
Waste Identification In The Production Process PTC Ceramic Heating Element With Lean Manufacturing Approach At CV. Sulis Keramik
Authors: Maylani Arista , Agusti Febrina , Nur Diansari Brillian
Published: December 2024

A firm called CV. Sulis Keramik makes parts for mosquito mats; these parts come in the shape of PTC heating elements. A kind of positive temperature coefficient thermistor used in heating applications is the ptc heating element. There are still many different waste indicators throughout the production process, which lowers the process's efficacy and efficiency. Defects with a 10% defect rate are among the main issues. Furthermore, there exist other indicators of waste associated with waiting times, transportation, and other wastes. With the use of lean manufacturing techniques, this project seeks to eradicate waste from CV Sulis Keramik ptc heating element production process. Value stream mapping in its current state, waste assessment models, value stream analysis tools, production system improvement, and designing future value stream mapping were all shown in the research's first stage.
Role of microRNA-499-5p in Early Diagnosis of Acute Coronary Syndrome and its Subtypes Compared with Highly Sensitive Cardiac Troponin –I
Authors: Hussein Ali Abdul Rasool , Issa Abdulkareem H. , Al Shareeifi Abbas Naji Muslem
Published: December 2024

Background: Acute coronary syndrome (ACS) is still one of the main causes of morbidity and mortality worldwide, to decrease mortality rates if diagnosed early. The ACS classification into three subtypes depends on electrocardiogram. miRNA-499-5p was found to be substantially elevated in AMI patients as compared with the non-AMI group and healthy control and it was already detectable in the plasma 1h after the onset of chest pain in AMI patients
Objectives: To evaluate the role of measuring serum miRNA-499-5p value in early diagnosis of ACS and compare with hscT-I
Subjects and Methods: A total of 120 patients (72 males and 48 females) aged≥30 years were consecutively selected from those who were admitted and diagnosed with ACS. The healthy subjects as controls for this study were recruited from those who had no current illness. The serum miRNA-499-5P and hscT-I were measured.
Results: It was shown that miRNA-499-5p levels had an overall significant difference among study groups (p<0.001), also the miRNA-499-5p mean level was significantly different between each ACS subgroup and controls (P<0.001)
miRNA-499-5p showed a significant positive correlation with hscT-I 0hrs in STEMI and NSTEMI but UA showed a non-significant correlation. miRNA-499-5p level had perfect AUC and high sensitivity and specificity for discrimination between subgroups of ACS patients.
Conclusions: The present study found the values of serum miRNA-499-5p expression in patients with ACS patients are significantly higher compared with controls after 1h of onset of chest pain, additionally, miRNA-499-5p expression have high sensitivity and specificity for differentiation between subgroups of ACS and from controls.
Iraqi Registry Data Proves Safety and Efficacy of switching to Adalimumab Biosimilar in Treating Rheumatoid Arthritis
Authors: Abbas Yasameen , Ihsan Nabaa , Adnan Asal , Moayad Marwa , AlKazzaz Ali , Maroof Avin , Abdulrahman Ali , Abdulateef Nazar , AlOsami Mohammad , Gorial Faiq , Altahhan Mohammed , Almansi Zahraa , Alnoori Ali
Published: December 2024

Background: Adalimumab is approved for Rheumatoid Arthritis (RA). In 2021, A biosimilar (ABP501;Amgevita®) was licensed in Iraq. The current study aimed to ensure safety and Efficacy of Amgevita in RA Patients in Iraq.
Patients and Methods: A Cross sectional Observational study Started on 69 RA Records receiving Amgevita. Data collected from local registry then examined for disease activity and adverse reactions for 9 months follow up.
Results: Thirty patients completed the 9 months period of the study: aged (49±14) years; 77.5% females. After 3, 6 and 9 months of follow up, patients' mean (SD) CDAI 27.8 ( 13.60 ) which was statistically lower (19.80) (6.96), 17.70 (2.790), and 19 (1.040), p<0.001. With a mean change of CDAI: 8 (p<0.001), 10.1 (p<0.001), and 8.78 (p<0.001) after 3, 6, and 9 months. Cumulative percentage of responders was 55.00% and Cumulative percentage of probability of change of disease activity was 86.00%, No patient achieved remission and no significant Side effects recorded. In conclusion Amgevita is Effective and Safe in RA.
Assessing the Effect of Apremilast on Serum Leptin levels in Obese Patients with Psoriasis
Authors: Saad Haitham Mohammed , Noaimi Adil A. , Mahmood Halla G.
Published: December 2024

Background: Psoriasis is a common inflammatory condition worldwide, with an average prevalence ranging from 2% to 3%. However, the incidence of psoriasis varies among different ethnic groups and regions. Elevated leptin levels have been associated with increased cellular proliferation, including T-cells. Additionally, high leptin levels may stimulate the synthesis of proinflammatory cytokines such as ILـ6 and TNFـα.
Objectives: To evaluate the effect of Apremilast on Leptin in obese psoriatic patients.
Subjects and Methods: Thirty patients with psoriasis were included in This prospective cohort study to measure the levels of serum Leptin by using the ELISA technique, before and after receiving Apremilast.
Result: The present work found the concentration of Leptin before receiving Apremilast was 2.365 ng/ml, and after six months from baseline, it was reduced to 1.933 ng/ml, which was statistically significant (P<0.05).
Conclusion: This prospective cohort study provides evidence that Apremilast can decrease elevated Leptin levels in individuals diagnosed with psoriasis. The study observed a 0.42 ng/ml reduction in Leptin levels after 6 months of Apremilast treatment.
Expression of the Hopeful Therapeutic Target CD15 in Women with Breast Cancer
Authors: Farah Falah Hasan Farah Falah Hasan , Fatin Ali Fatin Ali , Yahya Alaa Qasim , Ahmad Fawzi Hussain Ahmad Fawzi Hussain
Published: December 2024

Background: CD15 is emerging as a recent prognostic marker with potential as a future therapeutic target in human malignancies. Its biological role in human cancer involves facilitating tumor cell adhesion through interaction with E-, L-, and P-selectins. This interaction allows adhesion to endothelial cells, enhancing metastatic potential.
Objective: to study CD15 expression and its relationship to some pathologic parameters to provide the first Iraqi data-driven analysis of this growing concept in women with breast cancer. Subjects and Methods: A retrospective study was carried out utilizing tissue samples obtained from 85 patients with invasive breast cancer. Materials included one formalin-fixed paraffin-embedded tissue block, one hematoxylin and eosin-stained histological section, and two immunohistochemical-stained ER and HER2/NEU sections for each patient. The samples were obtained through core needle biopsy under ultrasound guidance. Data review and immunohistochemical staining with CD15 were conducted, followed by statistical analysis using the chi-square test to explore correlations.
Results: CD15 expression was observed in 55% of breast cancer samples. There was a highly significant statistical relationship between CD15 expression and the presence of axillary lymph node metastasis (proven by fine needle aspiration cytology). However, there was no significant statistical relationship between CD15 expression and the histological grade, ER receptor, HER2-NEU status, and tissue calcification.
Conclusion: CD15 expression was detected in breast cancer cells, with a highly significant association observed between CD15 expression and axillary lymph node metastasis at presentation. CD15 could serve as a prognostic marker as association with axillary lymph nodes reflects negative impact on prognosis and at the same time a promising therapeutic target for patients with breast cancer as blockage of CD15 antigen’s function will result in reduction of the metastatic potential and it could be an immunotherapeutic target.
A Revolutionary Road Map for Obesity Management and Beyond: Tirzepatide as a Dual-Acting Insulinotropic Polypeptide
Authors: Al-Ameri Laith Thamer , Hameed Ekhlas Khalid , Dulaimi Ziyad , Abdalgbar Asgad , Wahdan May Yousif , Al Joboory Ali , Mahmoud Sawsan , Abdulla Maysaa , Alshara Luay , Al-Dulaimi Nada Faisal
Published: December 2024

Tirzepatide is a revolutionary and promising medication with a high impact in the treatment of Obesity and T2DM with their complications. Its efficacy was proven through different trials in achieving favorable weight loss and a significant reduction in glycemic index. It also treated a large diversity of related co-morbidities, including fatty liver, cardiovascular disease, dyslipidemia, and more. Tirzepatide is well tolerated, has a good safety profile, and is highly reliable and suitable for use in a population.
Metagenomics: An Unbiased Tool for Understanding and Preventing Pandemics
Authors: Rath Shakti
Published: December 2024

Metagenomics is a branch of genomics that involves sequencing genetic material directly from environmental samples. Metagenomic data could facilitates evidence-based decisions while providing a more complete view of the microbial ecosystem in a pandemic setting. It would provide critical knowledge for future pandemic preparedness programs
Addressing Psychoactive Drug Use in Iraq: Embracing Challenges and Seizing Opportunities
Authors: Al Janabi Taysir
Published: December 2024

Drug use disorder is a global health issue and one of the leading causes of premature deaths and disability. There is an increase recognition of the need for a public health rather than criminal justice approach to mitigate the current health burden and prevent future health loss
Exorcizing the Ghost of Herder: A Community-Based Approach to Translating Hungarian Literary Texts
Authors:   Technical University of Liberec, Vernyik Zénó
Published: December 2024

Hungarian literary texts in translation have been consistently successful in the Czech Republic in the past 25 years, as the Magnesia Litera prize for the best translated book in 2024 awarded to Marta Pató’s translation of László Szilasi’s A harmadik híd [The Third Bridge] and a whole range of other Czech prizes awarded to translations of Hungarian texts illustrate. This decades-long success story contests assertions that Hungarian literature is relatively unknown internationally due to its weak translations, untranslatable expressions, and cultural specificity. The essay revisits Mihály Szegedy-Maszák’s (2003) article on this topic as a text that is symptomatic of a range of persistent beliefs about the factors that hinder the successful translation of Hungarian literary texts. Besides criticizing several such claims about translation quality and national specificity, however, it also advocates for a change of focus on supranational and subnational communities and the multilingual, multicultural, and multiethnic nature of cultural spaces, and it calls for a new approach to both studying and translating “small” literatures.
On the Margin of the Web: The Story of Briseis
Authors:   Transilvania University of Brașov, Petre Andreea
Published: December 2024

Pat Barker’s novels Silence of the Girls and Women of Troy are part of some female authors’ successful approach, which emerged after the 1980s, to rewrite Homer’s fundamental texts from the perspective of the female character. Without changing the fate of the Homeric heroes, the author proposes a reassessment of the relationships between the characters by adopting an internal point of view of Briseis, the queen who became Achilles’s slave. Constantly contrasted to the glorious androcentrism in Homer’s epic, Pat Barker’s texts aim at shifting women’s place from the margins to the centre, from the insignificant status of a slave to that of a generator of powerful conflicts in the dominant world of men. Exposed and humiliated, Briseis understands that the major danger is not death but the loss of identity, the brutal reduction of a woman to a mere object. Thus, a different perspective on the events in Homer’s Iliad emerges, a different angle, able to question the central, seemingly indestructible status of the male collective.
The present study aims at discovering how, after the protagonist’s encounter with the strong, powerful characters of the epic, their hidden aspects are brought to surface and a fine weave of correspondences that the author creates between periphery and centre, the dominator and the dominated, the vanquished and the victor, meaning and nonsense is highlighted.
Intersecting Visions: The Symbiotic Relationship of Literature and the Arts in the Antiquity and the Romantic Age
Authors:   “1 Decembrie 1918” University, Ionescu Petru
Published: December 2024

This paper presents the complex and dynamic relationship between literature and the arts, exploring how these two domains have symbiotically interacted, especially in the Antiquity and the Romantic Age. By examining the mutual influences, thematic resonances, and aesthetic convergences between literature and the arts, this study seeks to expose some of the complex intermedial dialogues that have enriched cultural expressions throughout history. Through a comparative analysis that spans mainly two key historical epochs – each marked by distinctive socio-cultural and philosophical currents –, this research highlights how literature and arts have not only reflected but also shaped and propelled each other’s evolution. The paper employs a dual methodological approach, combining theoretical frameworks with specific case studies, to demonstrate the way these artistic synergies have manifested. This approach allows for a more detailed understanding of the roles that art and literature play in both mirroring and constructing the human experience, thus offering insights into the broader cultural and aesthetic implications of their interplay. The study underscores the enduring power of artistic collaboration and influence, revealing how these intersections have contributed to the development of complex cultural narratives and the continuous redefinition of aesthetic and philosophical paradigms.
Remediated Encounters in Carlos Morton’s Johnny Tenorio and Pancho Diablo
Authors:   University of Bucharest, Dánél Edit-Mária
Published: December 2024

This paper aims to identify those protagonists who occupy the position of dramatic remediators in the process of mending broken relationships in Carlos Morton’s Johnny Tenorio (1983) and Pancho Diablo (1987). The research sets out from Jacques Derrida’s essay Plato’s Pharmacy, where the work of art is considered to be the fountain “perhaps with curative powers” (Derrida 1981, 70) in re-examining past relationships. On the level of the narrative, remediated encounters have the role of rebuilding interpersonal relationships with the help of designated arbitrating entities with an independent, self-contained existence. Considering their level of involvement in the outcome of the plot, Carlos Morton’s subjective, semi-objective, as well as indirect empathic, partial, or detached remediators assume the position of non-judgemental, non-political, self-sufficient individuals who initiate the process of self-discovery in a subjective time frame designated for this purpose. According to Susana Monica Tapodi’s study (2017), certain obsolete traumatized characters, such as hedonists, intellectuals, and medieval knights, assisted by their alter-egos, attempt to mend the resulting broken discourse occurring at borderline situations determining the individual’s (post-)existence.
Advancements in Machine Learning for Pipeline Integrity Management: A Comprehensive Review of Predictive and Optimization Techniques
Authors: F.O. Amadhe , R. O. Anjorin , F. O. Uwoghiren
Published: December 2024

Oil and gas pipeline networks are crucial component of energy infrastructure. However, as the integral elements of the energy transportation system are evolving towards Industry 4.0 and Smart Manufacturing, pipelines network are progressively shifting towards intelligence and digitization. The fields of asset integrity management, operation inspection, corrosion prevention, leak and intrusion detection, and flow assurance are just a few of the areas where machine learning and artificial intelligence (AI) algorithms are becoming more and more important. The predictive and optimization capabilities of these Models/ Algorithms have been leveraged by various Pipeline Network Integrity Management systems to avert pipeline failure, reduce environmental damage, and effectively allocate resources. This study reviews and gives a summary of current advancements in intelligent techniques, encompassing heuristic computations, mathematical programming, and machine learning techniques used in a pipeline network integrity management to enhance various operational and maintenance aspects. This work makes two intellectual accomplishments. Firstly, it offers a technical review of literatures, systematically synthesizing different computational intelligence and machine learning approaches previously applied, along with their methodologies, contributions, drawbacks, and comparisons. Secondly, the study recommends some nature-inspired meta-heuristic algorithms, which encompasses Evolutionary and the Swarm Intelligence Algorithms to be applied for future directions and challenges. Finally, the study underscores the potential of computational intelligence and algorithms for learning methods in predicting and optimizing the efficiency of pipeline network operation and management, emphasizing the necessity for further development of models/algorithms and application to enhance more intricate interactions between pipeline infrastructure monitoring, maintenance, and management.
Characteristics and Quality Indicators of Vocational Training Performance
Authors: Salah-eddine LAHNIN , Jaafar ATIFI , Said LOTFI
Published: November 2024

Vocational training plays a central role in economic and social development, helping individuals to adapt to rapid changes in the job market. This scientific article provides an in- depth review of the literature on the characteristics and indicators of quality in vocational training programs. It identifies several key dimensions, including the relevance of pedagogical content, which must be in line with market requirements, and the competence of trainers, essential for transmitting up-to-date knowledge. The integration of educational technologies that facilitate access to learning and optimize pedagogical processes is vital. In addition, program accessibility and equity are emphasized, ensuring that these training courses are open to all, regardless of socio-economic, geographical or other constraints.

Quality assessment is based on precise indicators, such as the professional integration rate of graduates, which measures the effectiveness of programs in generating job opportunities.

Learner satisfaction is also an important indicator, reflecting the perceived quality of the teaching and learning environment. In addition, the quality of jobs obtained, certification success rates and the level of commitment of participants are crucial criteria for judging a program’s performance. The article also underscores the importance of international standards, such as ISO 9001 (quality management), ISO 21001 (management systems for educational organizations) and the EFQM (European Foundation for Quality Management) excellence model, in the continuous improvement of training systems. These standards offer structured frameworks for quality assurance, although their application sometimes presents limitations, particularly in terms of adaptation to local specificities and the changing needs of different sectors.

The challenges faced by these programs include the ability to respond rapidly to changes in the labor market, the management of limited resources, the involvement of stakeholders, and the integration of new technologies. The article proposes solutions such as long-term strategic planning, the involvement of public and private players, and the development of partnerships to share resources and best practices in vocational education and training. In conclusion, the study emphasizes importance of a comprehensive and collaborative approach to ensuring quality vocational training, capable of adapting to constant market changes and making a significant contribution to sustainable economic and social growth. This review demonstrates that continuous improvement in vocational training quality relies on an integrated, collaborative approach that engages all stakeholders to meet the dynamic needs of the labor market.
Examining the Impact of Macroeconomic Factors on Housing Prices in Malaysia
Authors: Othman Fifi Syafika , Mohamed Suhana , Ya’acob Fatin Farazh
Published: November 2024

This research investigates the influence of macroeconomic variables on property prices in Malaysia, specifically analyzing the correlations among gross domestic product (GDP), interest rates, and inflation from 1988 to 2022. Economic upheavals, including the COVID-19 epidemic, have exacerbated the Malaysian housing market’s difficulties, which play a crucial role in the country’s economy. This study uses econometric models to examine the impact of macroeconomic factors on the Housing Price Index (HPI), including both short-term and long-term effects. Its goal is to fill gaps in the current literature. The results demonstrate a notable association between the rise of the Gross Domestic Product (GDP), interest rates, and housing prices, emphasizing the need for policymakers to monitor these interconnections regularly. Moreover, the research underlines the need for focused governmental interventions to enhance housing affordability and stability of the market, especially in metropolitan regions undergoing rapid expansion. This study offers valuable insights into regional variations in housing market reactions to macroeconomic shifts by combining case studies from different areas in Malaysia. This research ultimately enhances our knowledge of the Malaysian housing market. It provides valuable advice for stakeholders who need to navigate the fluctuations in home prices in a dynamic economic landscape.
The Role of Victim Age in Perceptions of Sexual Assault: A Scenario Study
Authors: Osborne Megan , Bradley Morgan , Henry Dayna S. , Blackstone Sarah , Sharrett Samantha , Wright Katlyn
Published: November 2024

Purpose: Various factors related to the victim and perpetrator in sexual assault have been shown to affect people’s perceptions of the sexual assault. The purpose of this study was to fill a gap in the literature and analyze how age of the victim might influence perceptions of a sexual assault. Method: University students over the age of 18 (n=400) completed a paper and pencil survey to examine rape myth acceptance, ageism, and sexual assault classification after reading a hypothetical scenario in which the victim was either 21 or 65 years old. Results: Most participants classified the scenario as sexual assault regardless of condition, however, participants had higher odds of sexual assault classification when the victim was 65 compared to when she was 21, regardless of ageism scores. Conclusions: These findings can have implications within the legal system where incorrect decisions may be made due to bias.
Contemporary LLMs and Literary Abridgement: An Analytical Inquiry
Authors:   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France, Nikolova-Stoupak Iglika , Lejeune Gael ,   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France, Schaeffer-Lacroix Eva ,   Sens Texte Informatique Histoire, Sorbonne Universit´e, Paris, France
Published: November 2024

Within the framework of this study, several contemporary Large Language Models (ChatGPT, Gemini Pro, Mistral-Instruct and BgGPT) are evaluated in relation to their ability to generate abridged versions of literary texts. The analysis is based on ’The Ugly Duckling’ by H. C. Andersen as translated into English, French and Bulgarian. The different scenarios of abridgement experimented with include zero-shot, oneshot, division into chunks and crosslingual (including chain-of-thought) abridgement. The resulting texts are evaluated both automatically and via human evaluation. The automatic analysis includes ROUGE and BERTScore as well as the ratios of a selection of readability-related textual features (e.g. number of words, type-to-token ratio) as pertaining to the original versus automatically abridged texts. Professionally composed abridged versions are regarded as gold standard. Following the automatic analysis, six selected best candidate texts per language are then evaluated by volunteers with university education in terms of textual characteristics of a more qualitative nature, such as coherence, consistency and aesthetic appeal.
Verbal Multiword Expressions in the Croatian Verb Lexicon
Authors:   Institute for the Croatian language, Brač Ivana , Birtić Matea ,   Institute for the Croatian language
Published: November 2024

The paper examines the complexities of encoding verbal multiword expressions in the Croatian verb lexicon. The lexicon incorporates a verb’s description at the syntactic, morphological, and semantic levels. This study explores the treatment of reflexive verbs, light verb constructions, and verbal idioms across several Croatian and Slavic language resources to find the best solution for the verb lexicon. It addresses the following research questions: 1. How should reflexive verbs, i.e., verbs with the reflexive marker se, be treated? Should they be considered as separate lemmas, sublemmas of non-reflexive counterparts, or as one of their senses? 2. What syntactic label and semantic role should be assigned to a predicative noun in light verb constructions? 3. Should verbal idioms be included, and, if so, at which level of a description? Our conclusion is that all reflexive verbs should be treated as separate lemmas since they are distinct lexemes that have undergone semantic and syntactic change. To differentiate between a semantically full verb and a light verb, we have introduced the label LV and decided not to assign a semantic role to a predicative noun. By including verbal idioms and their translation into English, non-native users can benefit from the lexicon. The aim is to enhance the verb lexicon for the more effective description and recognition of verbal multiword expressions.
The Verbal Category of Conditionality in Bulgarian and Its Ukrainian Correspondences
Authors:   Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Derzhanski Ivan , Siruk Olena ,   Institute of Mathematics and Informatics, Bulgarian Academy of Sciences
Published: November 2024

Modern Bulgarian shares a conditional mood with the other Slavic languages, but it also has developed a future-in-the-past tense which is structurally analogous to many Western European languages’ category traditionally called a conditional mood in their grammars. The distinction between these two forms is sometimes elusive and can be difficult for native speakers of Slavic languages who are learning Bulgarian. In this paper we consider the uses of the Bulgarian conditional mood and future-in-the-past tense in a parallel corpus of Bulgarian and Ukrainian text, examining the corresponding wording in Ukrainian, where the conditional mood is supplemented by modal verbs, and discuss the breadth of choices open to translators when working in each direction.
ChatGPT: Detection of Spanish Terms Based on False Friends
Authors:   University of Granada, Haddad Haddad Amal , Premasiri Damith ,   Lancaster University
Published: November 2024

One of the cornrnon errors which translators commit when transferring terms from one language into another is erroneously coining terms which are based on a false friend mistake due to the similarity between lexical units forming part of terms. In this case-study, we use ChatGPT to automatically detect terms in Spanish which may be coined based on a false friend relation. To carry out this study, we implemented two experiments with GPT and compared the results. In the first, we prompted GPT to produce a list of twenty terms in Spanish extracted from the UN discourse, which are possibly based on false friend relation, and its English equivalents and analysed the veracity of the results. In the second experiment, we used an aligned corpus to further study the capabilities of the Language Model on detecting false friends in English and Spanish Text. Some results were significant for future terminological studies.
Commercially Minor Languages and Localization
Authors:   Sofia University, Ivanova Todorova Maria
Published: November 2024

This paper offers a perspective of languages with a less significant volume of digital usership as minor in the context of globalization and localization. With this premise, the risks this status poses to the quality of localized texts, the substantiality of genre conventions, the public image of professional translators, and the users’ linguistic competence in these languages is explored. Furthermore, the common lack of established or clear conventions in the localization of digital products into commercially minor languages (and in the digital product genres) is highlighted as one of the factors amplifying these risks. These perspectives are contextualized with the Bulgarian language with examples of errors encountered in Bulgarian digital content localized from English and more specifically – errors and problemsrelated to gender neutrality and register.
Multilingual Corpus of Illustrative Examples on Activity Predicates
Authors:   Department of Computational Linguistics Institute for Bulgarian Language Bulgarian Academy of Sciences, Stoyanova Ivelina , Kukova Hristina ,   Department of Computational Linguistics Institute for Bulgarian Language Bulgarian Academy of Sciences, Todorova Maria ,   Department of Computational Linguistics Institute for Bulgarian Language Bulgarian Academy of Sciences, Dimitrova Tsvetana ,   Department of Computational Linguistics Institute for Bulgarian Language Bulgarian Academy of Sciences
Published: November 2024

The paper presents the ongoing process of compilation of a multilingual corpus of illustrative examples to supplement our work on the syntactic and semantic analysis of predicates representing activities in Bulgarian and other languages. The corpus aims to include over 1,000 illustrative examples on verbs from six semantic classes of predicates (verbs of motion, contact, consumption, creation, competition and bodily functions) which provide a basis for observations on the specificity of their realisation. The corpus of illustrative examples will be used for contrastive studies and further elaboration on the scope and behaviour of activity verbs in general, as well as its semantic subclasses
Trees with maximum multiplicative connectivity indices
Authors: Azari Mahdieh , Dehgardi Nasrin
Published: November 2024

The product-connectivity (also called Randić connectivity) index, sum-connectivity index and harmonic index are among the best-known and most successful vertex-degreebased topological indices in mathematical chemistry. The multiplicative versions of these graph invariants were proposed by Kulli in 2016. In this paper, we give the maximum values of the multiplicative product-connectivity, multiplicative sum-connectivity and multiplicative harmonic indices within the set of trees with a given order and maximum vertex degree and specify the maximal trees.
Quality investment and tolerance setting under the product inspection
Authors: Chen Chung-Ho , Lee Tzu-Hsien
Published: November 2024

This study considers the modified Shin et. al.’s [14] model with process control and tolerance. In the first phase, the process parameters setting model considers Taguchi’s quadratic quality loss and process cost of product for obtaining the original values of mean and standard deviation. Then the second phase, i.e., the tolerance setting model considers the process promotion with quality investment. The optimal tolerance can be also determined under the 100% inspection under the specified Cpkm value and sampling inspection with specified Cpkm value and consumer’s risk, respectively. The numerical result are described for explanation.
Lung Cancer Classification using Convolutional Neural Networks Learning approach and Support Vector Machine Technique
Authors: Premkumar S , Revathy N
Published: November 2024

Lung cancer is a major cause of cancer-related deaths globally, making early, accurate diagnosis crucial for improving patient outcomes. Traditional diagnostic methods like imaging and histological analysis are time-intensive and require expert interpretation. Machine learning (ML) has emerged as a powerful tool for lung cancer classification, enabling analysis of large datasets to uncover complex patterns. This chapter reviews ML techniques such as Support Vector Machines (SVM) and Convolutional Neural Networks (CNNs), highlighting their strengths, limitations, and the importance of data preprocessing, feature extraction, and model evaluation. It also explores advancements in deep learning, ensemble methods, and multimodal approaches to enhance clinical decision-making and personalize lung cancer treatment