bluuebunny/crossref_metadata_2025 huggingface dataset:
Blockchain: The Digital Ledger Fighting Fraud in Healthcare
Authors:   Senior IT Project Manager, USA, Sharma Puneet
Published: January 2025

The healthcare industry faces pervasive challenges with fraud, waste, and abuse, costing billions of dollars annually and compromising the integrity of patient
care. Blockchain technology, with its decentralized and immutable ledger system, offers a groundbreaking solution to mitigate these issues. By enabling
secure data sharing, transparent transactions, and tamper-proof recordkeeping, blockchain has the potential to revolutionize healthcare operations and
fortify trust within the ecosystem.
This paper explores how blockchain addresses fraud in healthcare, emphasizing its applications in claims processing, drug traceability, and identity management.
It also addresses implementation challenges, ethical considerations, and future trends. The integration of blockchain with complementary technologies
like artificial intelligence (AI) and the Internet of Things (IoT) is also discussed, underscoring its transformative impact on healthcare fraud prevention.
The effect of Wise Leadership on Organizational Citizenship Behavior mediation by perceived Organizational support, an analytical study in Al-Imamain Al-Kadhmin Medical City Hospital
Authors: Ahmed Quinn Dawood  , Weam Wahhab Alyasiri
Published: January 2025

The concepts of (wise leadership, perceived organizational support, and organizational citizenship behavior) have received academic attention from researchers, given the scientific and practical importance and the impact of these variables on the performance of organizations, in practical terms, organizational citizenship behavior has been affected by the secretions of the spread of the Corona virus (Covid 19), Which affected the work and behavior of managers and doctors in hospitals, For this reason, the current study aimed: verify the impact of wise leadership on organizational citizenship behavior by mediating perceived organizational support, Doctors and nurses working at Al-Imamain Al-Kadhimiya Medical Hospital were relied upon to apply the study to them, and the size of the study community was (149), the number of responsive and valid sample for statistical analysis was (144), the study included the application of the descriptive analytical approach, the questionnaire tool was used to collect study data, by adopting multiple statistical methods, the results were extracted by adopting a program (SPSS) & (Amos), the most important conclusions of the study included: the impact of wise leadership and its dimensions on both variables (perceived organizational support, organizational citizenship behavior and its dimensions (directed towards the individual, directed towards the organization)), and the lack of impact of wise leadership and its dimensions on the dimension of organizational citizenship behavior directed towards tasks, in addition to showing the dimension of wise leadership (Intellectual intelligence), its lack of impact on organizational citizenship behavior and its dimensions, the results also showed the impact of perceived organizational support on organizational citizenship behavior and its dimensions (directed towards the individual, directed towards the organization), and no effect appeared in the dimension of organizational citizenship behavior directed towards tasks, Finally, the results showed, the presence of a comprehensive and fundamental role for perceived organizational support in mediating the relationship between the impact of wise leadership on organizational citizenship behavior.
Bibliometric Analysis and Science Mapping of Scientific Publications of COMSATS University during 1998–2022
Authors: Tariq Muhammad , Ali Nusrat , Shahzad Khurram
Published: January 2025

This study aimed to conduct a bibliometric analysis and science mapping of the publications emerging from the COMSATS University Islamabad (CUI), Pakistan. Bibliometrics and visualization techniques were used in this study. The data were collected from the Web of Science database with the "COMSATS University Islamabad" query in the affiliation category. A total of 26,841 documents were retrieved. VOSviewer, Biblioshiny, ScientoPy, and MS Excel software were used to analyze the data. The results showed that the number of publications, particularly articles, has progressively increased. COMSATS had the most national collaborations with Quaid-e-Azam University, and China was identified as the top-ranked country for international collaborations. Furthermore, Engineering was the most attractive area for the CUI authors. This study would guide the researchers regarding important research areas while conducting, collaborating, and submitting their research in international databases.
Social Media Use Among University Students: A Review and Direction for Future Research
Authors: Arif Muhammad , Butt Kiran , Hussain Abid , Asim Muhammad
Published: January 2025

The use of social media has become widespread in recent years. It is an excellent source of social interaction, and students routinely use various social media platforms for different academic activities. This study aimed to review and synthesize research on social media usage and its impact on university students in Pakistan. The systematic literature review (SLR) technique was used. With the help of a refined search string, a systematic review of studies published in the English language between 2010 and2022 was conducted. The data was collected from the Web of Science, Google Scholar, and the Library Information Science and Technology Abstracts (LISTA) database. Thirty-one studies were selected after a rigorous review of 1244 studies. It was found that most quantitative research studies were conducted using the survey method and reported both positive and negative impacts of social media. The results highlighted that Pakistani students use social media for (1) knowledge sharing, (2) socialization, (3) political awareness, (4) job hunting, and (5) cross-cultural communication and coordination. They also support the positive impact of social media use among Pakistani students. The novelty of this research is rooted in the comprehensive search and systematic review of social media research from the Pakistani university student's perspective, which has not been unified to the present date. The results of this study would provide valuable insights to educational administrators regarding the formal adoption of social media technologies for teaching and research in the educational institutions of Pakistan.
The Role of Banking Digitalization in Enhancing Business Capacity among Rural Communities in Indonesia
Authors: Samara Faiz Nasrullah , Prawoto Benny Rahardian , Maulana Arsha , Firdaus Arief Ridwan , Dewi Nurma Gupita
Published: January 2025

The digitalization of banking has emerged as a transformative force in enhancing financial inclusion and supporting economic growth, particularly in rural communities. This study examines the role of banking digitalization in improving business capacity among rural communities in Indonesia. By leveraging digital banking services such as mobile banking, e-wallets, and online loan platforms, rural entrepreneurs can access financial resources, manage transactions efficiently, and participate in broader economic activities. The findings reveal that digital banking reduces barriers to credit access, increases financial literacy, and promotes entrepreneurship. Furthermore, it enables rural businesses to integrate into the digital economy, fostering resilience and growth in local markets. However, challenges such as digital literacy gaps, infrastructure limitations, and trust issues must be addressed to maximize the potential of banking digitalization. This study underscores the importance of collaborative efforts among policymakers, financial institutions, and community stakeholders to ensure equitable access and sustainable development in rural areas. Keywords: Banking digitalization, rural communities, business capacity, financial inclusion, digital economy
Implicancias jurídicas de la calificación de la participación del Extraneus en el delito de peculado
Authors: Cueva Quispe Carlos Alberto , Loza Ticona Renzi Marilú , Lopez Flores Oswaldo Javier
Published: January 2025

La investigación sobre las implicancias jurídicas de la participación del extraneus en el delito de peculado surge de la creciente preocupación por la corrupción en la administración pública, evidenciada en casos como Odebrecht. El estudio tuvo como objetivo analizar esta problemática en el distrito judicial de Tacna durante el período 2020-2022. Se adoptó un enfoque mixto, que incluyó el análisis de sentencias judiciales y la aplicación de entrevistas a jueces y fiscales y cuestionarios a los abogados penalistas. Los resultados evidenciaron una falta de uniformidad en las decisiones judiciales respecto a la calificación del extraneus como partícipe en delitos de peculado, lo que genera ineficiencias en la administración de justicia. Las conclusiones subrayan la necesidad de establecer criterios claros y uniformes para calificar dicha participación y proponen una reforma legislativa que permita una interpretación y aplicación más precisa del derecho penal. Este estudio tiene importantes implicancias tanto teóricas como prácticas, al contribuir al desarrollo del derecho penal y promover un acceso más efectivo a la justicia para las víctimas de delitos contra la administración pública.
Impasse al razonamiento que otorga derecho subjetivo al robot humanoide, un desafío legal y ético
Authors: Ayquipa Colque Marcelo Jesús , Sologuren Alvarez Juan Enrique , Vargas Valderrama Edward Percy
Published: January 2025

El presente artículo busca analizar las implicancias de otorgar derechos subjetivos a un robot humanoide, destacando desde la doctrina jurídica que el derecho subjetivo, en su esencia pura, es inherente a la persona humana. Este enfoque proviene de los relativistas sociales, a quienes examinamos en esencia para señalar por qué este progresismo, al que ellos denominan “beneficios humanos,” podría traer graves consecuencias para el ordenamiento jurídico, el estatus normativo y la consideración de la persona como fin supremo.
A bond strength analysis of carboncor asphalt layer on road surfaces
Authors: Nguyen Anh Tuan , Tran Danh Hoi , Ngo Ngoc Quy , Le Xuan Quy
Published: January 2025

Transport infrastructure is a critical component of socio-economic development, particularly in rapidly urbanizing Vietnam, where increasing traffic congestion poses significant challenges. Road surface quality and durability are essential factors in ensuring the efficiency and longevity of the transportation system. Carboncor Asphalt (CA) material, with its superior resistance to cracking, water damage, and harsh weather conditions, is a promising solution for road surface construction in Vietnam. However, there is a limitation of research on the mechanical behavior of carboncor asphalt in the specific climatic and environmental conditions of the country. To address this knowledge gap, this study investigates the shear behavior of a carboncor asphalt layer interfaced with both asphalt concrete and cement concrete surface layers. A comprehensive range of laboratory tests is conducted to assess the bond strength between the carboncor asphalt layer and the overlying road surfaces. Results indicate a negative correlation between temperature and bond strength for the overlay carboncor asphalt layer on both asphalt and cement concrete substrates. Notably, bond strength demonstrated a significant increase over time. The findings in this study are expected to have significant implications for road construction and maintenance using CA overlay in Vietnam. By providing a scientific foundation for material selection, design, and construction of road surfaces tailored to local conditions, this study aims to enhance investment efficiency and reduce maintenance costs
Effect of Modified Zinc Oxide-Silica Nanocomposites on Epoxidized Natural Rubber/Tire Waste Composites Properties
Authors: Kingkohyao Napasorn , Boonsiri Tanit , Nakaramontri Yeampon
Published: January 2025

Epoxidized natural rubber (ENR) was blended with tire waste (TW) and modified zinc oxide-silica nanoparticles (ZnO-SiO2) using melt mixing, with NR acting as a compatibilizer to link the two incompatible phases—between the polar epoxy groups of ENR and the non-polar rubber in TW. Various ZnO-SiO2 concentrations of 5, 10, 15, and 20 phr were investigated to determine their effects on cure characteristics, mechanical properties, and antibacterial efficiency of the received composites. It was found that adding ZnO-SiO2 improved crosslink density, thereby enhancing the acceleration activity of the chemical crosslinking processes, which resulted in longer cure times and scorch times. Optimal loading of 20 phr enhanced the 100% and 300% moduli values to 1.29 and 3.73 MPa, respectively, along with a tensile strength of 10.52 MPa, highlighting the improved mechanical properties of the nanocomposite with ZnO-SiO2 loadings. This optimal loading also provided superior antibacterial activity, achieving over a 99.0% reduction in bacterial presence within 24 h through releasing Zn2+ ions and generating reactive oxygen species (ROS). At this concentration, the optimal values regarding ZnO-SiO2 particles that can form further agglomerates are reached. These findings support the development of rubber composites with improved performance and durability, as well as enhanced antibacterial protection, for various rubber applications, including footwear, self-pads, and rubber floor mats, highlighting their significance in enhancing product safety and longevity.
 
Keywords: Natural rubber, Epoxidized natural rubber, Tire waste, Nanocomposites, Antibacterial efficiency
The efficacy of chelated micronutrient fertilisers in tomato cultivation
Authors: Sievidovadia NVolodymyr , Serhienko Oksana , Lebedynskyi Ivan , Sievidov Igor
Published: January 2025

The study aimed to investigate the impact of foliar fertilisation on the growth and development processes of tomato plants of different maturity groups throughout the entire growing season, as well as on overall yield levels. The research, conducted during 2018-2021 in film greenhouses at the experimental site of the State Biotechnological University, located in the south eastern part of the Left-Bank Forest-Steppe of Ukraine, examined the F1 indeterminate tomato hybrids Berberana (early maturity) and Bostina (mid-early maturity). The results demonstrated that foliar fertilisation accelerated plant development phases compared to the untreated control variant. The treated plants exhibited the most vigorous development during the budding phase, with bud formation occurring two to four days earlier than in the control group. It was observed that plants subjected to foliar fertilisation had superior biometric indicators during the mass flowering phase. The differences in primary biometric indicators during the mass flowering phase, depending on the application of foliar fertilisation, ranged from 3% to 18%. During the mass fruiting phase, these differences varied from 2% to 9% with a single treatment and from 5% to 17% with three treatments. Furthermore, the experiment involving three treatments demonstrated the highest monthly yield increases, exceeding the control by 12% to 21%. The findings indicated that the most effective treatment was the application of chelated micronutrient fertilisers three times, resulting in a yield increase of 17.5% (2.8 kg/m2 ) for the Berberana hybrid and 14.8% (2.2 kg/m2 ) for the Bostina hybrid compared to the control. These yield improvements provide producers with an opportunity for increased profit. The practical significance of this study lies in identifying the effects of foliar fertilisation on tomato yield in protected soil conditions. Additionally, the study established optimal and scientifically justified rates and application timings for complex fertilisers with chelated micronutrients. These measures ensure the maximum realisation of the crop’s genetic potential
Methodological and practical aspects of using satellite imagery to assess the military impact on soils
Authors: Lebed Vitalii , Solokha Maksym , Solovei Vadym , Kucher Anatolii , Vorotyntseva Ludmila
Published: January 2025

The military aggression of the Russian Federation has caused significant negative impacts on Ukraine’s natural ecosystems, including its soils. Comprehensive assessments of soil conditions, the extent, and the scale of damage caused by warfare are essential for documenting the resulting losses. However, the use of traditional field surveys of soil cover is hindered by the significant threat of landmines in areas liberated from occupation. This limitation necessitates the widespread adoption of remote sensing methods, such as satellite imagery. This study aimed to assess the condition of soils and the extent of their damage due to military activity within the Chkalovske territorial community of the Chuhuiv District in the Kharkiv Region. The study identified the optimal combinations of optical bands from Sentinel-2 satellites for monitoring the consequences of military impact on soil cover. A spatial layer of objects was developed to represent various types of military-induced soil degradation within the community, including damage from continuous shelling (craters from shells, rockets, and bombs); soil compaction from the movement of military vehicles (tracks and pathways); fortification structures (defensive fighting positions and dugouts); and fires caused by shelling. Using high-resolution satellite imagery, the number of craters and the soil mass loss caused by explosions, the areas of burned and compacted land, as well as the length of anti-tank ditches and defensive fighting positions with dugouts, were calculated at the test site. On the irrigated lands of the Chkalovske territorial community, the areas affected by shelling and those burned due to military-related fires were also estimated. The information derived from satellite imagery serves as a crucial step in developing measures for the restoration of the soil cover in the pilot area affected by military degradation. The study utilised satellite imagery of varying resolutions and geographic information systems to calculate the damage caused by military actions with sufficient accuracy. It also analysed the temporal and quantitative interrelations among different types of military impact. This research will serve as a basis for assessing the scale and spatial distribution of soil damage, calculating the loss of fertile soil layers, and conducting an economic evaluation of the damage inflicted on soil resources
Effective methods of rational water resource use in the agrarian sector of Kazakhstan
Authors: Amirbekuly Yerzhan , Daribayeva Adaskhan , Toxanova Aigul , Zhenskhan Darima , Kurmankulova Nurzhamal
Published: January 2025

The study aimed to determine effective methods of rational water resources use in the agricultural sector of Kazakhstan. The impact of modern irrigation technologies, such as drip and sprinkler irrigation, as well as automated monitoring systems on crop productivity, soil condition and adaptability of farms to climate change was analysed. Drip irrigation was noted to reduce water losses by up to 40%, while sprinkler systems provided uniform coverage of large areas, optimising water resources. Automated monitoring systems using soil moisture sensors and weather forecasting reduced water consumption by 25-50% and increased crop yields by 15-30%. The study also determined that introducing such systems improved soil quality, reducing depletion and ensuring long-term productivity. An analysis of the experience of farms in Kazakhstan, Israel, Spain and China confirmed the economic feasibility of such approaches by reducing operating costs as well as dependence on external financing and increasing resilience to climatic stresses. In particular, automation of water supplies reduced water, energy and system maintenance costs, which ensured long-term farm stability. The practical value of the work was the formation of scientifically based recommendations for the introduction of innovative irrigation technologies to improve the efficiency of the agricultural sector of Kazakhstan, reduce the impact of climate change and ensure sustainable development
THERMODYNAMIC MODELING OF THE PROCESS OF SMELTING A COMPLEX CHROMIUM-MANGANESE-SILICON-CONTAINING FERROALLOY
Authors: A. Zhakan  , A. Zhunusov  , A. Akhmetov  , S. Kabylkanov  , O. Yucel
Published: January 2025

This article presents the results of thermodynamic modeling of the process of smelting chromium-manganese-silicon-containing ferroalloy from technogenic raw materials of Kazakhstan. Thermodynamic modeling of chromium-manganese-silicon-containing ferroalloy was carried out using the HSC Chemistry 6 software package (Outokumpu, Finland), based on the principles of minimizing the Gibbs energy and thermodynamic variational principles. Thermodynamic analysis for modeling the process of smelting a complex alloy was carried out in the temperature range from 500 to 2000 ℃ for four real charge compositions (with a 5% deficiency of solid carbon, with a normal course of the regime, and with an excess of solid carbon of 5% and 10% of the stoichiometry). The mechanism of combined carbothermic reduction of silicon, manganese, chromium and iron was studied using the Fe-Cr-Mn-Si-Al-Ca-Mg-C-O system. The calculations performed allowed us to fully study all the physicochemical processes occurring during smelting of chromium-manganese-silicon-containing ferroalloy using the carbothermic method. Based on the thermodynamic data, the optimum consumption of solid carbon per 100 kg of charge (chromium and manganese dust) was determined to be 10.75 kg. The chemical composition of the ferroalloy at 1800 °C is, %: Cr - 35.84;
Mn - 24.47; Si - 16.25 and Fe - 22.63.
Keywords: complex ferroalloy, carbothermic process, chromium-manganese-silicon-containing ferroalloy, thermodynamics, reduction.
ИНСТИТУТ ПРИСЯЖНЫХ
Authors: Г. Б Ахмеджанова  , Р. М. Исаканова
Published: January 2025

Суд присяжных заседателей является одной из самых распространенных в мире форм участия представителей народа в осуществлении правосудия. Общепризнанно, что использование суда присяжных является гарантом независимости судов, вносит подлинную состязательность сторон в судебный процесс, житейскую мудрость – в атмосферу формальной юстиции, уменьшает риск злоупотребления в досудебной стадиях, возможность коррупции и навязывания суду принятия определенного судебного решения. Суд присяжных – институт судебной системы, состоящий из скамьи присяжных заседателей, отобранных по случайной методике только для данного дела и решающих вопросы факта, и одного профессионального судьи, решающего вопросы права. Суд присяжных рассматривает серьёзные уголовные дела в первой инстанции и его решения не подлежат апелляционному обжалованию в части установленности вины. Суд присяжных - один из наиболее демократических институтов судебной системы, воплощающий принцип непосредственного участия народа в отправлении правосудия. Суд присяжных – в ряде государств суд, в состав которого входят один или несколько постоянных судей и присяжные заседатели, подобранные или назначенные для данного судебного процесса представители народа. Присяжные и постоянный (коронный) судья, как правило, не образуют единую судебную коллегию, их функции в процессе строго разграничены. Присяжные заседатели в уголовном процессе обычно выносят вердикт о виновности или невиновности подсудимого, в гражданском процессе решают только вопрос факта.
Ключевые слова: присяжные, суд, судебная система, судья, конституция, институт.
Comparing highly purified human menopausal gonadotropin and recombinant follicle stimulating hormone in poor ovarian reserve patients undergoing intracytoplasmic sperm injection
Authors:   IVF unit, Department of Obstetrics and Gynecology, University of Health Sciences, Konya City Hospital, Turkey, Korucu Dilay Gok , Akgun Humeyra , Tutar Mahmut Sami , Dogru Sukran , Gunenc Oguzhan
Published: January 2025

Objective: We aimed to compare highly purified human menopausal gonadotropin (hp-hMG) and recombinant follicle stimulating hormone (rFSH) in short antagonist in vitro fertilization (IVF) cycles of patients with poor ovarian reserve (POR). Limited research exists on this comparison in short antagonist cycles for this patient group. Materials and methods: This retrospective cohort study involved 165 POR patients aged 18–45 years who underwent IVF between 2018 and 2022. Patients were divided into two groups based on their GnRH antagonist protocol: hp-hMG (group 1 = 72) and rFSH (group 2 = 93). We compared pregnancy outcomes, number of oocytes collected, mature oocytes retrieved, mean fertilized oocytes, top quality embryos transferred, and serum estradiol (E2) and progesterone (P) levels on human chorionic gonadotropin (hCG) administration day. Results: No significant differences were found in E2 and P levels on hCG trigger day, endometrial thickness on transfer day, stimulation duration, total oocyte number, and mature oocyte number (P > 0.05). The total gonadotropin dose was significantly higher in the rFSH group (P < 0.001). The number of top-quality embryos transferred and clinical pregnancy and live birth rates did not diff er significantly between groups (P = 0.320; P = 0.310; P = 0.652; and P = 0.662, resp.). Conclusion: Neither hp-hMG nor rFSH showed superiority in patients with POR, indicating similar effectiveness in this population.

Key words: highly purified human menopausal gonadotropin – in vitro fertilization – live birth – poor ovarian reserve – recombinant follicle stimulating hormone
Hydrops of a fetus of unknown etiology with the development of severe intracranial hemorrhage
Authors:   Institute for Mother and Child Care, 3rd Medical Faculty, Charles University, Prague, Czech Republic, Brandejsová Anna , Heřman Hynek , Hanulíková Petra , Hašlík Lubomír , Regendová Alexandra , Krofta Ladislav , Feyereisel Jaroslav
Published: January 2025

Prenatally diagnosed intracranial hemorrhage in the fetus is associated with a wide range of neonatal disorders, from completely uncomplicated physiological development to severe neurological impairment or death. The incidence is 0.6–1/1,000 births. Intracranial hemorrhage, depending on the anatomical location, is classified as intraventricular, intracerebral, cerebral, subarachnoid, and subdural. In this case report, we describe a rare case of spontaneous intracranial hemorrhage in a fetus monitored for hydrops and pregnancy complicated by polyhydramnios. A literature research was carried out. In the discussion, we present the diagnostic algorithm and the results of the examinations performed. To complete the case report, we add information about the management of childbirth and early death of the newborn.

Key words: intracranial hemorrhage – hematoma – subdural hematoma – fetal hydrops – polyhydramnios – fetal anemia – early neonatal death
Type I congenital vaginal atresia with multiple organ malformations
Authors:   Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China, Luo Can , Niu Xiaoyu , Mei Ling , Chen Yueyue
Published: January 2025

Background: Vaginal atresia (VA) is a rare female genital tract malformation characterized by the absence or incomplete development of the vagina, often leading to cyclic abdominal pain and menstrual blood retention in adolescent patients. Vaginal atresia is often accompanied by multiple organ malformations. The condition poses significant challenges in dia gnosis and management, requiring a multidisciplinary approach. Case description: Herein, we report a case of type I congenital VA in a 13-year-old female presenting with congenital biliary atresia and urinary system malformation. Upon initial evaluation, the patient exhibited VA incision and laparoscopic excision of a left ovarian cyst under general anesthesia. By the 2-month fol low-up, the patient reported normal menstrual fl ow without accompanying abdominal pain. Conclusion: This case underscores the complexity of type I congenital VA concurrent with multiple organ malformations. Timely identification and proper management strategies are crucial for securing the best possible patient outcomes. Further research is warranted to elucidate the underlying mechanisms and improve treatment modalities for such cases.

Key word: vaginal atresia – biliary atresia – urinary system malformation – case report
Malignant transformation of extragenital endometriosis
Authors:   Department of Gynecology and Obstetrics, 3rd Medical Faculty, Charles University and University Hospital Královské Vinohrady, Prague, Czech Republic, Hruda Martin , Robová Helena , Sehnal Borek , Babková Anna , Pichlík Tomáš , Drozenová Jana , Malíková Hana , Halaška Michael J. , Rob Lukáš
Published: January 2025

Endometriosis is a chronic disease characterised by the presence of endometrial tissue outside the uterine cavity, affecting 5–15% of women, especially those of reproductive age. The disease may manifest itself as dysmenorrhoea, dyspareunia, sterility and chronic pelvic pain, among other symptoms. Although it is not malignant, it shares some characteristics with cancer and can lead to epithelial ovarian carcinoma. The risk of malignant transformation of endometriosis is estimated at 1% in premenopausal women and 1–2.5% in postmenopausal women. Our case report describes a 46-year-old female patient with long-standing abdominal pain and a history of surgically confirmed endometriosis. Imaging revealed a cystic mass in the left mesogastrium, which was subsequently surgically removed. Histological examination confirmed the presence of a low-grade endometrioid carcinoma arising from an extragenital endometriosis lesion. Following surgical treatment, the patient underwent adjuvant chemotherapy, after which she was in complete remission. The diagnosis of malignant transformation of endometriosis is complex, requiring a combination of thorough clinical examination, imaging, and histopathological verification. Therapy involves radical surgery and possibly adjuvant chemotherapy, similar to ovarian carcinomas. Despite advances in treatment and research, endometriosis remains a complex disease with unclear aetiology, heterogeneous clinical presentation, and risk of malignant transformation.

Key words: endometriosis– malignant transformation – extragenital lesion – diagnosis – treatment
Contratos nulos y responsabilidad civil en el derecho civil panameño
Authors: Lozada Estrada Mónica Teresa
Published: January 2025

Los contratos son celebrados para que surtan los efectos que le son propios. Sin embargo, pueden resultar ineficaces debido a la concurrencia de alguna causal de nulidad. La nulidad se impone como una sanción que el ordenamiento jurídico prevé, para denegar, eliminar o privar de efectos a los contratos y actos jurídicos en general, por haber sido celebrados en contravención a la ley. Como consecuencia de la declaratoria de nulidad del contrato, pueden generarse daños a la contraparte que ha confiado, sin culpa, en la validez del contrato y que tiene la legítima expectativa de que se produzcan los efectos jurídicos inherentes al contrato. Surgirá responsabilidad civil, a fin de indemnizar los daños sufridos por la contraparte, al margen de la existencia de un contrato.
Oil extraction from rice bran using conventional and bio-based solvents
Authors: ANISUZZAMAN S M , Yih Vivian Michelle
Published: January 2025

Rice bran is the outer layer of the rice grain, rich in essential nutrients and bioactive compounds. It is a valuable by-product used for various purposes, including the extraction of rice bran oil (RBO) known for its health benefits. This study focused on extracting oil from the nutritious rice bran using both conventional solvent (n-hexane) and bio-based solvent (isopropanol) for comparison under diverse conditions. The RBO yields were analysed at different temperatures of 40oC, 50oC, and 60oC, with bran-to-solvent ratios of 1:3, 1:5, and 1:7, and extraction times of 2, 4, and 6 hours. The highest yields achieved were 12.4% for n-hexane at 60oC, 1:7 ratio, and 6 hours, and 9.76% for isopropanol at 60oC, 1:7 ratio, and 4 hours. The extracted oil underwent comprehensive physical analysis, including density, acid value, free fatty acid, and iodine value test. The physical analysis revealed density values of 0.867 g/mL for n-hexane and 0.866 g/mL for isopropanol. Acid values were 21.48 mg KOH/g (n-hexane) and 26.90 mg KOH/g (isopropanol). Free fatty acid percentages were 10.74% (n-hexane) and 13.45% (isopropanol). Iodine values were 65.48 mg (n-hexane) and 60.40 mg (isopropanol). The collected data were analysed using response surface methodology (RSM) to optimize the extraction condition, predicting the highest yield at 60oC, with a bran-to-oil ratio of 1:5 parts solvent, and an extraction time of 6 hours. Statistical analysis confirmed the significance of the optimization model (p < 0.05).  Overall, this study provided valuable insights, advancing more efficient and effective RBO production methods.
Keywords: rice bran; extraction; n-hexane; iso-propanol
A Review of Artificial Neural Networks (ANNs) as a Potential Predictive Tool for the Performance of Scissor-Type Deployable Bridges
Authors: Gabriel John Robert D. , Cruz Orlean G. Dela
Published: January 2025

After a severe disaster, some places may be unreachable for rescue operations due to bridge destruction. A scissor-type deployable bridge is a novel rescue technology that enables a lifeline to be quickly recovered during a catastrophic event. Several structural analysis approaches were used to predict the structural behavior of deployable bridges. Yet none of the prior studies used Artificial Neural Networks (ANNs) to predict the structural behavior of scissor-type deployable bridges. This research explores the potentiality of Artificial Neural Networks (ANNs) to predict the performance of a scissor-type deployable bridge. The study aims to leverage the capabilities of ANNs in modeling complex relationships to forecast key parameters related to the bridge's functionality. ANNs can assist engineers in optimizing the design parameters of scissor-type deployable bridges by predicting how different configurations affect total deformation and stress levels. The analysis involves training the neural network with relevant data to enable it to learn and generalize patterns, enabling more informed predictions for diverse scenarios. Lastly, the application of ANNs in simulating bridge behavior contributes to advancing research in structural engineering, particularly in the field of deployable structures, by providing insights into complex structural responses that are challenging to model analytically.
Keywords: Deployable Bridge, Mobile Bridge, Scissor-Type Bridge, Aluminum Alloy, Artificial Neural Networks (ANNs), MATLAB
Evaluation of Linear Elastic Dynamic Analysis Behavior on RC Buildings in Sabah Subjected to Moderate PGA
Authors: Harith Noor Sheena Herayani , Samir Samnursidah , Ngui Min Fui Tom
Published: January 2025

Seismic performance of existing buildings in Southeast Sabah needs further examination, as there has been limited research. It is significant to explore the buildings respond to linear elastic dynamic analysis, especially considering that most reinforced concrete (RC) buildings insufficient earthquake-resistant technology. The current study aims to establish the correlation between peak ground acceleration (PGA) and the performance point of buildings under moderate PGA of 0.12g, 0.14g, and 0.16g, and then to assess the expected performance level of three RC buildings. The selection of three buildings within a 10 km radius from the active faults area. The buildings undergo an analytical method that necessitates the utilization of computational techniques to determine their capacity curve, demand curve, and performance point through the application of pushover analysis under the different of PGA. The performance point of buildings is determined by the intersection between capacity and demand curves, indicating Life Safety (LS) in inelastic range. This study critically evaluates the performance point of buildings that indicates inelastic displacement of the roof according to the intersection between capacity and demand curves under the various PGA.
Keywords: Performance point; RC buildings; Acceleration
In Search of the Prompt that Produces useful Written Corrective Feedback for L2 Composition Classes
Authors: R. Brawn James
Published: January 2025

The use of artificial intelligence (AI) in language education may be in its infancy, but technological advances, especially natural language processing, will lead to its widespread adoption far sooner than many may think. For example, large language models (LLMs) like ChatGPT are often used when individuals utilize AI systems. This means that researchers in second language learning must begin evaluating the utility of AI-based tools for second language instruction. This study describes the importance of prompt engineering in designing effective prompts for second-language writing feedback. This action research (AR) study revealed that prompts could constrain the usefulness of AI-generated feedback and suggests that, like LLMs, users are few-shot learners. Adapting the prompts and understanding the limitations and constraints that these prompts produce will allow instructors to design prompts to make ChatGPT and other AI-based applications more helpful to learners in second-language composition classes.
Inclusion of Learners with Autism Spectrum Disorders (ASD) in Lesotho Primary Schools
Authors: Alphonci. Khumalo Motlalepula
Published: January 2025

The Lesotho Inclusive Education Policy 2018 aims to integrate all learners with special needs, with teachers playing a crucial role in including autism spectrum disorder (ASD). This paper focused on exploring teachers' perceptions of including learners with ASD in mainstream primary schools in Lesotho. Ten practising teachers, pursuing a bachelor’s degree, were selected for semi-structured interviews regarding their experiences teaching learners with ASD. A phenomenological approach was used to analyse their responses. The findings indicate that the Lesotho education system does not adequately support learners with autism. Teachers feel unprepared to accommodate these learners and lack understanding of their needs. The findings suggest various forms of support to help manage ASD effectively. Therefore, a national study is recommended to assess teachers’ needs in supporting learners with autism spectrum disorders, which would inform the successful implementation of the Lesotho Inclusive Education Policy (LIEP) 2018 in mainstream schools.
Analyzing Performance Patterns and User Experience in Online Cybersecurity Challenges: Insights from SKRCTF
Authors: Jing Khoo Li , Yatim Maizatul Hayati Mohamad , Seng Wong Yoke
Published: January 2025

The field of cybersecurity education has undergone a significant transformation, with the emergence of innovative e-learning platforms that aim to bridge the gap between academic institutions and industry. This study investigates the effectiveness of SKRCTF, a customized Capture-the-Flag platform designed to support cybersecurity skill development, through comprehensive analysis of user performance patterns and learning experiences. Drawing from data collected from 120 participants over a 12-week period, this research employs mixed-methods analysis to examine learning progressions, engagement patterns, and skill development pathways in cybersecurity education. The findings reveal three key insights: 1. the emergence of distinct specialist and generalist learning patterns, challenging traditional assumptions about linear skill progression; 2. the identification of an optimal engagement zone that maximizes learning effectiveness; and 3. the discovery that analytical challenges serve as effective entry points for cybersecurity skill development. The study also uncovers a complex relationship between perceived difficulty and learning outcomes, where higher perceived difficulty often correlates with increased persistence rather than decreased engagement. These insights contribute to both theoretical understanding of cybersecurity skill development and practical platform design considerations. The research suggests that effective cybersecurity education platforms should support multiple learning pathways, implement structured engagement mechanisms, and carefully sequence challenges to optimize skill development. These findings have significant implications for the design of cybersecurity education programs and the development of future security professionals.
Clustering based on Hybridization of Genetic Algorithm and Improved K-Means (GA-IKM) in an IoT Network
Authors: Elarfaoui Moez , Azzouna Nadia Ben
Published: January 2025

The continuous development of Internet infrastructures and the evolution of digital electronics, particularly Nano-computers, are making the Internet of Things (IoT) emergent. Despite the progress, these IoT objects suffer from a crucial problem which is their limited power supply. IoT objects are often deployed as an ad-hoc network. To minimize their consumption of electrical energy, clustering techniques are used. In this paper, a centralized clustering algorithm with single-hop routing based on a genetic algorithm and Improved k-means is proposed. The proposed approach is compared with the LEACH, K-means and OKmeans algorithms. Simulation results show that the proposed algorithm performs well in terms of network lifetime and energy consumption.
The Mediating Effect of Behavioral Intention in the Relationship between Social Influence and Wireless Technology Usage
Authors: Abdunool Kyambadde , Ali Mwase , Muhammad Ssebanenya , Warda Saunders
Published: January 2025

The adoption of wireless technologies, such as Wi-Fi and mobile tools, is pivotal in enhancing teaching, research, and administrative efficiency in higher education. Despite widespread access to these technologies in public universities in Uganda, the adoption rate among academic staff remains inconsistent. This study investigates the mediating role of behavioral intention in the relationship between social influence and wireless technology usage. This study employs a quantitative approach, utilizing surveys to gather data from academic staff. Findings showed that there was a significant positive mediating effect of behavioral intention (BI) on the relationship between social influence (SI) and Wireless Technologies Usage (WTU). The type of mediation was partial as SI predicts WTU directly and indirectly through BI. There were also significant positive relationships between social influence, behavioral intention, and wireless technology usage. It was concluded that behavioral intention to use is a mediator of social influence and Wireless Technologies Usage. This research contributes to the existing literature by highlighting the importance of behavioral intention as a mediating factor, offering insights for stakeholders aiming to enhance technology adoption strategies. The implications of these findings underscore the necessity for targeted interventions that leverage social influence to foster positive behavioral changes toward wireless technology usage.
A Monte-Carlo Analysis between a Microscopic Model and a Mesoscopic Model for Vehicular Ad-Hoc Networks
Authors: Hassan Aslinda , Md. Shah Wahidah , Talib Mohammed Saad
Published: January 2025

Vehicular Ad-hoc Networks (VANETs) are crucial for advancing intelligent transportation systems, enhancing road safety, and enabling efficient vehicle-to-vehicle and vehicle-to-infrastructure communications. However, accurately simulating vehicular environments' dynamic and complex nature remains a significant challenge. This study addresses this gap by benchmarking the performance of a mesoscopic model, which incorporates a lane-changing technique, against a microscopic model using Monte Carlo simulations. The microscopic model focuses on individual vehicle movements, considering driver behaviour and interactions, while the mesoscopic model captures traffic flow at the road segment or neighbourhood level. The updated mesoscopic model incorporates a lane change technique to better reflect realistic vehicle movements. The updated mesoscopic model generated approximately 350 to 400 vehicles in the simulations, with a narrow distribution and a peak frequency of about 120 vehicles. In contrast, the original microscopic model produced around 800 vehicles and had a wider distribution but exhibited a similar peak frequency. The revised model demonstrated a slight negative skewness of -0.1019, while the original model showed a slight positive skewness of 0.0618. Both models displayed negative kurtosis values, indicating lighter tails than a normal distribution. Notably, the original model had a more negative kurtosis of -0.2931, compared to -0.1742 for the revised model. These findings suggest that the microscopic model is more adept at capturing the variability of traffic flow, making it a more accurate reflection of real-world scenarios where vehicle interactions significantly impact vehicle dynamics during data transmissions.
Authors: Sibarani Gabriella Yunita , Imanuel Reinhart , Budi Istia
Published: January 2025

Abstract: The development of information technology offers opportunities for churches to enhance their services through digital platforms. This study aims to design and develop an Android-based e-Church application as a solution to facilitate church activities, particularly at GBI ROCK Balikpapan. The application is designed to support various features, such as worship schedules, church news, community management, and access to spiritual content, including daily devotionals and sermon videos. The development method employed is the Waterfall model, starting with requirements analysis, system design, implementation, and testing. The results of the study indicate that the application provides convenience for congregants in accessing church information, participating in spiritual activities, and supporting transparency in donation management. Testing using the Black-Box method confirms that the application functions as designed. The implementation of the e-Church application is expected to improve interaction between the church and its congregation in a more efficient and modern manner.
 
Keywords: e-Church, Android, GBI ROCK Balikpapan, digital services, church application
Evolução da inteligência artificial como uma ferramenta para administração
Authors: Félix Hugo , Silva Jadson Freire da , Lima Elyda Gonçalves de , Rocha Ryân da Silva , Carvalho Nathália Costa
Published: January 2025

Objetivo: O presente estudo foi desenvolvido de modo a analisar as maneiras que a inteligência artificial (IA) vem sendo utilizada como ferramenta para otimizar processos administrativos. Para tanto, debruça-se sobre as produções acadêmicas de administração e áreas correlatas sobre o tema.
Método/abordagem: Uma revisão bibliográfica qualitativa foi adotada, baseada em artigos científicos disponíveis na plataforma SPELL, com seleção e análise de 22 estudos publicados entre 2020 e 2024, utilizando a palavra-chave "Inteligência Artificial"
Contribuições teóricas/práticas/sociais: Ao sistematizar as discussões acadêmicas sobre IA na administração, o estudo identificou duas principais perspectivas: seu uso em instituições públicas e em diversos setores da Administração. Logo, o estudo aponta o crescimento da popularidade de softwares em técnicas administrativas que já foram ponderadas por pesquisadores desta área de estudos. Além disso, indica o crescente alerta sobre implicações éticas e limitações das IA.
Originalidade/relevância: O estudo contribui ao mapear tendências recentes e ao consolidar o papel da IA como ferramenta estratégica para a tomada de decisões em um ambiente organizacional dinâmico e complexo.