bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancing Cancer Care: Augmented and Virtual Reality Solutions
Authors: Chourasia Harshwardhan
Published: April 2024

Abstract: The present research delves into the various uses of augmented reality (AR) and virtual reality (VR) in cancer therapy, emphasizing their capacities as inventive, patient-focused interventions. It has been shown that AR and VR technology can improve surgical methods, improve medical education, lessen the psychological and physical effectsof cancer, enable precision medicine, and encourage patient participation throughout treatment. The paper describes a thorough methodology for creating an AR/VR system for cancer diagnosis, which includes incorporating it into medical curricula, creating personalized training regimens, reviewing relevant literature, and implementing it with great care.Through a multidisciplinary approach, this research seeks to develop an approachable framework by promoting collaboration among specialists in academia, technology, and medicine. The final objective is to generate a thorough study report that offers insightful information about utilizing AR and VR technologies to improve cancer detection and treatment in the medical domain.
Design of Powertrain for E-Cycle Using MATLAB
Authors: Rajeshkumar Mr. D.
Published: April 2024

Abstract: The primary objective of this review paper is to present a comprehensive overview of earlier research efforts in the development of 'electric cycle (E-Cycle) systems' with an innovative approach. The review delves into existing literature findings on the design of electric cycles, exploring both theoretical frameworks and practical experiences associated with E-Cycles. The paper encompasses recent studies on electric bicycles and showcases the evolution of various types of electric cycles. Specifically, it focuses on the design and simulation of a low-speed electric cycle, emphasizing power optimization. Given the environmental concerns associated with internal combustion engines emitting hazardous gases, there is a notable shift in the automotive industry towards electric-powered vehicles. This paper underscores the significance of electric cycles as a future mode of transportation. To enhance the efficiency and range of electric cycles, improvements in powertrain design are imperative. Consequently, the review emphasizes the necessity to devise and implement an optimized powertrain system for electric cycles, contributing to the ongoing evolution of electric vehicles
Wireless Power Transfer System in Electric Vehicle Application
Authors: Jackson C. Ronald , Anandhakumar M. , Sankarananth Dr. S.
Published: April 2024

Abstract: As an alternate form in the road transportation system, electric vehicle (EV) can help reduce the fossil-fuel consumption. However, the usage of EVs is constrained by the limited capacity of battery. Wireless Power Transfer (WPT) can increase the driving range of EVs by charging EVs in motion when they drive through a wireless charging lane embedded in a road. The amount of power that can be supplied by a charging lane at a time is limited. A problem here is when a large number of EVs pass a charging lane, how to efficiently distribute the power among different penetrations levels of EVs? However, there has been no previous research devoted to tackling this challenge. To handle this challenge, we propose a system to balance the State of Charge (called BSoC) among the EVs. It consists of three components: i) fog-based power distribution architecture, ii) power scheduling model, and iii) efficient vehicle-to-fog communication protocol. The fog computing center collects information from EVs and schedules the power distribution. We use fog closer to vehicles rather than cloud in order to reduce the communication latency. The power scheduling model schedules the power allocated to each EV. In order to avoid network congestion between EVs and the fog, we let vehicles choose their own communication channel to communicate with local controllers.
Healthcare Virtual Assistant using Generative AI
Authors: Falak D. L. , Autkar Aishwarya , Bailkar Saloni , Bankar Srushti , Kachare Shraddha
Published: April 2024

Abstract: Documentation is a clumsy task for the front- desk staff. They've to fill in patient data, schedule appointments, and attend to patient queries. Even healthcare providers must enter EHR data, which takes a lot of time, and they end up spending lesser time with their patients. In the evolving landscape of healthcare administration, the burden of administrative tasks continues to challenge healthcare professionals and institutions. However, with generative AI, doctors can produce clones of patient data and automate form- filling tasks. It can also be integrated with EHR for documentation work. This project introduces a result — a generative artificial intelligence (AI) system designed to ease administrative burdens and enhance operating efficiency. By employing the power of AI, this web- grounded platform aims to streamline administrative processes, automate routine tasks, and facilitate absolute communication between patients, medical staff, and administrative personnel. The proposed website leverages advanced generative AI approaches to tackle crucial administrative challenges. Through natural language processing (NLP) and image analysis, the system interprets unstructured data such as medical notes, images, and documents. It enables automated documentation generation, medical coding and billing, appointment scheduling, and patient inquiries through a responsive and user-friendly interface
Influencia del tipo de recipiente y de los métodos tradicionales en el almacenamiento a largo plazo de la miel producida por Scaptotrigona mexicana sin aguijón: compuestos bioactivos y propiedades antioxidantes
Authors: Juárez-Trujillo Naida , Carrouché Simón , Mendoza-López María Remedios , Monribot-Villanueva Juan L. , Guerrero-Analco José A. , Jiménez-Fernández Maribel
Published: April 2024

La miel de Scaptotrigona mexicana se caracteriza por sus propiedades nutricionales y antioxidantes, pero tiene un alto contenido de humedad que afecta su estabilidad durante el almacenamiento. El objetivo de este trabajo fue evaluar las propiedades fisicoquímicas y antioxidantes mediante espectroscopía UV-Visible, perfil de compuestos fenólicos por cromatografía líquida de ultra alta resolución acoplada a espectrometría de masas y ácidos grasos y compuestos volátiles mediante cromatografía de gases acoplada a espectrometría de masas, minerales por espectroscopía de emisión atómica de plasma de microondas, a partir de miel almacenada en diferentes recipientes que, junto con los métodos tradicionales, se utilizan comúnmente para aumentar su estabilidad. La mayoría de las propiedades fisicoquímicas y antioxidantes no fueron significativamente diferentes de las de la miel recién cosechada. Los resultados sugieren que el envase con válvula de retención de escape tiene un efecto significativo en la disminución del contenido de humedad y la actividad del agua, pero no en las propiedades fisicoquímicas y antioxidantes durante al menos 2 años de almacenamiento. Estos resultados sugieren que el tipo de recipiente debe considerarse al momento de almacenar la miel, ya que afecta significativamente (P<0.05) sus propiedades y calidad.
Conocimiento socio-ecológico de la actividad apícola en la Costa Chica de Guerrero, México
Authors: Cámara-Romero José , Cetzal-Ix William , Alaniz-Gutiérrez Luis , Rojas-Herrera Agustín , Aparicio-López José , Rodríguez-Alviso Columba
Published: April 2024

La identificación de flora melífera (FM) en las áreas donde se establecen apiarios es necesaria para los apicultores, debido a que las abejas (Apis mellifera) dependen de estos recursos florales para su alimentación y producción de miel. El objetivo del estudio fue analizar los aspectos socio-ecológicos de la apicultura, considerando los conocimientos de la flora melífera de los productores en la Costa Chica de Guerrero (CCG), México. Se realizó un muestreo no probabilístico por conveniencia. La muestra final fue de 75 apicultores encuestados. Para el análisis de los datos se utilizó estadística descriptiva y tablas cruzadas; se realizaron recolectas botánicas para identificar las especies citadas. La apicultura es tradicional (5-50 colmenas), la edad promedio fue 48 años, con 10 años de escolaridad y 12 años de experiencia. Los productores mencionaron 33 especies de FM (26 nativas y siete cultivadas), pertenecientes a 16 familias botánicas. Además, por su uso, las clasificaron en nectapoliníferas (14 especies), poliníferas (10) y nectaríferas (9). Se registró que las especies nativas florecen durante el invierno (herbáceas) y primavera (árboles), lo que coincide con la época de cosecha de miel, mientras que las especies cultivadas florecen en épocas de lluvias (verano) y son un recurso importante en épocas de postcosecha. Los apicultores de la CCG registraron bajo conocimiento de la vegetación circundante a sus apiarios, pero tienen un alto conocimiento de las principales especies de FM, encontrándose que, a mayor edad, mayor conocimiento sobre las especies de FM que las abejas utilizan en su alimentación (néctar o polen).
Contribución de gramíneas forrajeras a la fijación biológica de nitrógeno y su respuesta a la inoculación de diazótrofas. Revisión
Authors: Fonseca López Dania , Vivas Quila Nelson , Cuervo Mulet Raúl , Rodriguez Molano Carlos Eduardo
Published: April 2024

El uso de insumos de origen químico ha generado pérdida de la diversidad microbiana que interviene en el ciclo del N como bacterias diazótrofas, que son inhibidas por saturación de los receptores encargados de activar la nitrogenasa. La fijación biológica de nitrógeno (FBN) en gramíneas forrajeras puede ser utilizada como servicio ecosistémico. El objetivo de este artículo de revisión fue analizar la contribución de gramíneas forrajeras a la FBN y su respuesta a la inoculación de diazótrofas no simbióticas para encontrar oportunidades de estudio. El análisis de la información se realizó a partir de la metodología prisma de revisiones sistemáticas y meta-análisis. Se destaca que las principales especies forrajeras que contribuyen con la FBN corresponden a Brachiaria sp. y Pennisetum sp. La inoculación de Azospirillum sp. ha generado efecto promotor de crecimiento en gramíneas, pero, la respuesta del forraje inoculado depende principalmente de la sinergia entre planta – bacteria presentándose efectos neutros, antagónicos y positivos.
Acumulación de materia seca, rendimiento y calidad nutricional del forraje de híbridos de maíz cosechados a diferentes días después de la siembra
Authors: Ramírez Gutiérrez Diego Eduardo , Olmos Colmenero José Jesús , Peña Ramos Alfonso , Sánchez Duarte Juan Isidro , Medina Núñez Ernesto , Gallardo Ramírez Siliviano , Santana Omar Ivan
Published: April 2024

El objetivo fue evaluar la acumulación de materia seca (MS) por componente, rendimiento y composición nutricional del forraje de cuatro híbridos de maíz cosechados a 121, 128, 135 y 142 días después de la siembra. En cada cosecha, se tomaron al azar cinco plantas y se separaron en sus componentes (tallo, hojas, grano, olote, brácteas y espiga) y se determinó la MS; en una muestra compuesta de planta completa se analizó la composición química y digestibilidad  in situ.  La acumulación de grano en la  MS total  se incrementó  de 35.8 a 43.9 % de los 121 a 142 días a cosecha, respectivamente, y diluyó a los demás componentes, sobre todo la proporción de tallo y de hojas, que decrecieron inversamente proporcional a la acumulación de grano. El contenido de MS total difirió entre híbridos de 3.8 y hasta 8.3 unidades porcentuales a mismos días a cosecha. Sin embargo, el híbrido no afectó el rendimiento de MS ni la producción de grano incrementándose 2.1 y 1.4 t ha-1 entre cosecha, respectivamente. El contenido de FDN disminuyó y el almidón se incrementó (ambos linealmente), afectando la energía neta de lactancia que aumentó de 1.49 a 1.56 Mcal kg-1 de los 121 a 142 días a cosecha, respectivamente. La interacción entre días a cosecha e híbrido afectó el contenido de almidón, el cual fue 5.2 unidades superior en un híbrido con similar contenido de CNF y FDN que sus contrapartes. Las digestibilidades de la MS, de la FDN y del almidón fueron afectadas por el híbrido, pero no por los días a cosecha.
DESAFIOS ESTRATÉGICOS NO SETOR PÚBLICO DA SAÚDE: O CASO DO CENTRO HOSPITALAR DE LEIRIA
Authors: Jorge Ana Luísa Kalidás Barreto Pereira , Correia Pedro Miguel Alves Ribeiro , Lunardi Fabrício Castagna
Published: April 2024

O crescimento em popularidade da temática do planeamento estratégico desde a segunda metade do século XX levou grande parte das organizações (públicas e privadas) a formular planos estratégicos. Sabendo que a construção de uma estratégia no setor público é notoriamente complexa, o objetivo desta investigação é a análise do caso específico do plano estratégico do Centro Hospitalar de Leiria e a proposta de uma nova estratégia para esta organização. O estudo passará pela revisão da literatura concernente ao tema de planeamento e decisão estratégica, bem como dos métodos de análise PESTEL, SWOT e TOWS, para consequentemente utilizar estas concessões na análise da organização estudada e, por fim, idealizar um conjunto de eixos estratégicos considerados adequados.
Chemistry Learning Revolution: Interactive Multimedia E-Learning with a Problem Based Learning Approach
Authors: Triyasmina Triyasmina , Rusdi Muhammad , Asyhar Rayandra , Dachia Hassan Abdullahi , Rukondo Nyanjiga
Published: April 2024

This research aims to develop interactive multimedia e-learning based on problem-based learning in chemistry learning. Research is the development of multimedia that can be a solution in the form of e-learning. Web learning is expected to function as a virtual teacher, virtual classrooms, and learning resources that can be accessed easily. The media was tested in terms of the attractiveness, ease of use, efficiency, and effectiveness. Development carried out by Lee and Owen adaptation models consisting of analysis, design, development, and evaluation. Evaluation phase is done by testing the expert to be validated. Validation is done by a designexperts, media specialist, and a chemistry expert. The products have been valid then tested on students and chemistry teachers in a small group.Based on group tests, it was found that the learning media products developed were liked and received positive responses, so they could be declared good for use as chemistry learning media.
Tapping Into Creativity: Crafting Engaging Math Lessons for Middle Schoolers with Macromedia Flash
Authors: Sukamdi Sukamdi , Lepik Aira , Denkovski Viktor
Published: April 2024

The aim of the research is to design media based on Realistic Mathematics Education (RME) spatial material; producing RME media with Macromedia Flash for class IX educators and students building materials; knowing the responses of educators and students after using the media; find out the results of learning about curved sided space figures. RME media development refers to the model of William W. Lee and Diana L. Owens by going through four stages out of five existing stages, namely: analysis; product design; development; implementation; and evaluation. In this research, the evaluation stage was not carried out. The results of expert validation obtained an average score of 88.8%, individual trials an average of 81.33%, small group trials an average of 80.89%, educators' responses to the media an average of 87.33%, and responses students average 83.73%. The use of RME media in learning has an impact on learning outcomes, where the average learning outcome for the experimental class is 81.65 while the average learning outcome for the control class is 78.39. The differences in learning outcomes show that RME media is effective when used in classroom learning.Explore a dynamic approach to math education as students delve into real-world scenarios, navigating building spaces with interactive Macromedia Flash tools. This innovative learning media sparks curiosity and deepens understanding, fostering a practical grasp of mathematics concepts for middle school learners.
Development of A Drama Learning Guide For Class XI High School Students
Authors: Yuwita Yessi
Published: April 2024

This research aims to develop a drama learning guide that suits the needs of class XI high school students. The research method used is the research and development (R&D) method following the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The analysis stage was carried out to identify student needs and characteristics of drama learning in high school. Next, a drama learning guide was designed according to the analysis findings, and drama learning materials were developed taking into account the principles of effective teaching. Implementation of the guide was carried out in class XI Senior High School, and an evaluation was carried out to evaluate the effectiveness of the drama learning guide. It is hoped that the results of this research can contribute to improving the quality of drama learning in high school and provide useful guidelines for teachers in designing interesting and effective drama lessons.
Development of Audio Visual Media for Learning Writing Poetry and Poetry for Class X High School Students
Authors: Revalinda Revalinda
Published: April 2024

This research aims to develop learning media in the form of audio visuals that are effective in improving the ability to write poetry and rhymes in class X high school students. The research method used is the ADDIE model development method (Analysis, Design, Development, Implementation, and Evaluation). The evaluation instruments used include writing ability tests, observations, and questionnaires. The results of this research show that the learning media is suitable for use in learning based on qualitative assessments by the validation team. Apart from that, the product being developed can also make learning easier for students in accordance with student responses that have been carried out in small group trials and field (class) trials. It is hoped that the research results can contribute to the development of innovative and technology-oriented learning methods, and can increase students' interest and ability in writing poetry and rhymes.
FUZZY WEIGHTED MEDIAN FILTER WITH UNSHARP MASKING FOR ENHANCEMENT OF DBT IMAGES IN BREAST CANCER DETECTION
Authors: Aqilah Saifudin Syafiqah , Sulaiman Siti Noraini , Osman Muhammad Khusairi , Isa Iza Sazanita , A. Karim Noor Khairiah
Published: April 2024

Breast cancer survival rates can be increased by providing early treatment to patients; thereby, microcalcification detection is critical because microcalcifications are an early sign of breast cancer. The visibility of microcalcifications can be improved by using Digital Breast Tomosynthesis (DBT) images, which have been shown to improve the overlapping issue in mammograms. However, since DBT screening techniques generate blurry artefacts and noise, this study proposes a DBT image enhancement procedure. As a result, this study indicated an enhancement method based on Non-Linear Unsharp Masking filters (NLUM). A filter, such as the Median Filter in conventional NLUM, is required to complete the non-linear element in the algorithm. Other researchers have previously proposed and demonstrated the Fuzzy Weighted Median Filter (FWMF) to improve medical images; thus, these filters can be adapted to the NLUM and replaced with the conventional filter. Following that, the enhancement process's performance will be evaluated using Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). When compared to the Median Filter, the results show that the FWMF is the best filter to use in NLUM and successfully enhances DBT images with MSE and PSNR averages of 0.0171 and 67.0574, respectively.
EPIDEMIOLOGY AND GENETIC ASPECT OF NON-SYNDROMIC MANDIBULAR PROGNATHISM: A LITERATURE REVIEW
Authors: Rosli Norlihayana , Kamaruddin Anis Farhan , Shafiai Noor Ayuni Ahmad
Published: April 2024

Mandibular prognathism is a Class III skeletal base manifestation in which the lower jaw overgrows with or without the upper jaw undergrowing, causing the lower jaw to appear more prominent than the latter. This manifestation results in an unattractive facial profile, misaligned bite, and hampered speech. Several reports suggested that the prevalence rate of mandibular prognathism varies depending on the demographic, and its primary aetiology is genetics. This literature review summarises the prevalence rate of mandibular prognathism in various populations, its inheritance pattern in different pedigree groups, and the loci and candidate genes involved in non-syndromic mandibular prognathism. Most studies show no relationship between gender and phenotypic prevalence, with Caucasians having the lowest prevalence of mandibular prognathism and East Asians having the greatest. The inheritance pattern of mandibular prognathism is diverse, with the most typical inheritance pattern being the dominant trait with incomplete penetrance. Genetic findings from many documented reports suggest that there may be more than a single gene that causes mandibular prognathism. Through genome-wide linkage analyses, several possible chromosomal loci and various candidate genes have been discovered, particularly in patients from the Chinese (FGF12, ADAMTS1, TGFB3, LTBP2, and COL2A1), Japanese (PLXNA2 and SSX2IP), and Korean (Matrilin-1) populations. It was discovered that the majority of the locus variations and candidate genes were expressed during the development of the mandible, which may cause mandibular prognathism.
MANAGEMENT OF NON-HEALING SOLITARY ORAL ULCER IN PATIENT RECEIVING COMPLETE DENTURE: A CASE REPORT
Authors: Roffie Juzailah , Abdul Rahman Nawal Radhiah , Mohamad Ahmad Fakrurrozi
Published: April 2024

Non-healing oral ulcer with non-vital bone exposure is an uncommon phenomenon and rarely seen in daily clinical practice. The clinical presentation of this kind of ulcer usually mimics a carcinoma appearance, which always gives a diagnostic dilemma. Regarding this case, an accidental finding of a solitary non-healing oral ulcer on the hard palate of a 65-year-old complete edentulous patient has been observed. The painless ulcer has existed for more than three months before the patient came to the clinic. This article provides a detailed description of the investigation done to obtain a proper diagnosis for this case and the treatment that has been given until the patient is cured. It highlights a take-home message that oral mucosa lesion is difficult to manage and might require a multidisciplinary approach for the success of treatment.
INFLUENCES OF DIFFERENT SOLUTIONS ON THE COLOUR STABILITY AND MICROHARDNESS OF CONTEMPORARY LIGHT CURED COMPOSITES: AN IN VITRO STUDY Received 2022-12-09; Accepted 2023-03-18; Published 202
Authors: Md Jasin Naziah , Roslan Husniyati , Suhaimi Fatanah Mohamad , Fairuz Omar Ahmad , Bahoudela Nahwan
Published: April 2024

Despite the accumulation of dental plaque, adsorption of colourant pigment from foods and beverages was found to influence the quality of aesthetic restorations. The study aimed to evaluate the influence of different solutions on colour stability and microhardness of microhybrid and nanofilled composite resins. This project was a laboratory based experimental study. Three types of composite resins were used; microhybrid (FiltekTM Z250), nanohybrid (FiltekTM Z250 XT) and universal nanocomposite (FiltekTM 350 XT). A total of 135 disc-shaped specimens were prepared and were randomly divided into five subgroups (n = 9): artificial saliva, mouthwash, carbonated drink, energy drink and coffee. Samples were immersed in the solutions at time intervals of 24 hours, 7 days, 14 days, 21 days and 28 days. All specimens were assessed for the staining effect using a spectrometer (QE65000) and microhardness evaluation using the Vickers indenter (LECO LM 248AT, St. Joseph, Michigan, USA). Data on spectrometer colour spectrum and surface hardness were subjected to a one-way ANOVA and Tukey HSD test at a significance level of P < 0.05. There was a significant difference in discolouration between all three types of composite resins when immersed in all solutions regardless of the pH values (P < 0.05). Vickers hardness test showed statistically significant microhardness among all composite resins on Day 28. The staining medium caused significant discolouration and decreased the hardness of all the materials tested. Microhybrid composite resin reported the lowest colour variations and resistance to hardness test.
PRELIMINARY ANALYSIS OF STIM-1 EXPRESSION ON FORMALIN-FIXED PARAFFIN-EMBEDDED NASOPHARYNGEAL CANCER TISSUES
Authors: Okekpa Simon Imakwu , S. M. N. Mydin Rabiatul Basria , Saravanan Chandrarohini , Jairaj Moses Emmanuel , Chatar Singh Gurjeet Kaur , Yusri Musa Muhammad
Published: April 2024

Nasopharyngeal cancer (NPC) is commonly diagnosed at the advanced stage with a poor prognosis. STIM-1 has become a promising cancer biomarker, especially in early diagnostic applications. There is a limited study on STIM1 expression in NPC, especially in formalin-fixed paraffin-embedded NPC tissues. Thus, the present work provides a preliminary analysis of STIM-1 expression on NPC tissues. This study aims to examine STIM-1 expression in NPC associated with tissue origin and the functional effects of STIM1 expression in NPC. Screening for target genes was using the KEGG PATHWAY database. The target gene analysis was initially done further studied using an immunohistostaining approach on NPC tissue samples. From the bioinformatic resources, STIM-1 has shown significant interaction with molecules network associated with cell migration and metastasis. Differentiated NPC showed moderate STIM-1 IHC staining intensity and undifferentiated NPC presented with strong STIM-1 IHC staining intensity. The present preliminary study suggests that STIM-1 could have a positive correlation with NPC pathogenesis. However, further comprehensive work using larger samples size is needed especially focusing on the STIM-1 expression and other clinicopathological parameters.
Advent of the online Neo-subject
Authors: Iványi Márton Pál
Published: April 2024

Arguably, from a post-Foucauldian perspective, information and communications technology (ICT) offers an arena for ongoing subjectivation aligned with societal or moral guidelines, such as the principles of efficacy and joy, technology-centrism and consumerism. In line with the tradition of critical social theory, the present paper offers a theoretical and a Central and Eastern Europe (CEE)-centred empirical framework based on recent social practices.
EXPLORING INDONESIAN RELIGIOUS TOLERANCE AND ORIENTATIONAL PLURALISM THROUGH BARASUARA’S "HAGIA"
Authors: Anadza Hirshi , Rommel Utungga Pasopati  , Syarifuddin
Published: April 2024

This study aims to provide a comprehensive understanding of how Barasuara's Hagia manifests religious tolerance and orientational pluralism in Indonesia. It is important to highlight that the responsibility for religious tolerance and pluralism extends beyond leadership to every stratum of society. By leveraging music as a vehicle to promote pluralism and instill values within individuals at their core, this approach may prove to be more effective than other governmental-implemented formalized methods. Religion can impact the behavior of young people, who are more ardent than older people, who are more cautious. By applying a qualitative approach, this study shows how orientational pluralism in the Hagia of Barasuara exemplifies religious tolerance. Through the emphasis on divergent viewpoints and other interconnected themes, the lyrical compositions of Hagia demonstrate the potential for religious tolerance and are therefore indicative of a pluralistic and diverse ethos. In conclusion, the lyrical composition suggests that pluralistic understanding can improve inclusive views toward one's own and other religions. Hagia's recognition and admiration of various religious beliefs demonstrate that sheer relativism is insufficient; individuals must show proactive compassion for others.
Progressive Relaxation Training in Patients with Breast Cancer Receiving Aromatase Inhibitor Therapy-Randomized Controlled Trial
Authors: BAHÇACI UMUT , Uysal Songül Atasavun , İyigün Zeynep Erdoğan , Ordu Çetin , Soybir Gürsel Remzi , Özmen Vahit
Published: April 2024

Background Aromatase inhibitors (AI) have positive effects on
disease-free life in patients with Breast Cancer (BC); on the other
hand, their side effects especially arthralgia can be observed in many
of patients. This study aimed to evaluate the effectiveness of
Progressive Relaxation Exercises (PRE) on the common side effects of AI
in patients with BC. Methods A total of 44 patients receiving AI were
allocated to the study and control groups in this randomized controlled,
single-blind trial. The study group (n=22) performed a combined (one-day
supervised, and 3 days home-based) PRE program 4 days/week, for six
weeks. The control group (n=22) was given advice about relaxation in
daily life. Data was collected initially and after 6 weeks of the
intervention. Pain, quality of life (QoL) and emotional status (ES) were
assessed using the Brief Pain Inventory (BPI), Functional Assessment of
Chronic Illness Therapy (FACT) and Hospital Anxiety and Depression (HAD)
scales, respectively. Results Pain was significantly reduced within the
study group in Pain Severity (p=0.001) and Pain Interference (p=0.01)
sub-scores. Pain was also reduced between the groups as compared using
the Pain Severity (p=0.00) and Patient Pain Experience (p=0.003)
sub-scores; QoL and ES remained with no significant difference either
within the groups or between the groups (p>0.05).
Conclusion The results of this study showed that PRE significantly
decreased pain scores in BC patients receiving AI. Although the
reduction in pain is a valuable data even in the 6-week period in those
cases, the long-term effects of relaxation techniques need to be
followed.
Centralization potential of automotive E/E architectures
Authors: Mauser Lucas , Wagner Stefan
Published: April 2024

Current automotive E/E architectures are subject to big changes:
Computing-power-intensive advanced driver-assistance systems,
bandwidth-hungry infotainment systems, the connection of the vehicle
with the internet and the consequential need for cyber-security drives
the centralization of E/E architectures. A centralized architecture is
often seen as a key enabler to master those challenges. Available
research focuses mostly on the different types of E/E architectures and
contrasts their advantages and disadvantages. There is a research gap on
guidelines for system designers and function developers to analyze the
potential of their systems for centralization. The present paper aims to
make centralization potential quantifiable. To achieve this, we
conducted a literature review and qualitative interviews with
practitioners. From literature, we have identified seven automotive
system properties reaching limitations in current automotive
architectures: busload, functional safety, computing power, feature
dependencies, development and maintenance costs, error rate, modularity
and flexibility. The system properties are interpreted as quantitative
evaluation criteria for an estimation whether centralization brings a
benefit for the overall system performance. In the interviews, we have
validated centralization and its fundament - the conceptual systems
engineering - as capabilities to diminish the limitations. Based on this
research, system designers can optimize their systems to face the
previously mentioned challenges and avoid the evolution towards a
monolithic architecture.
ALgorithm validation for Peripheral artery disease diagnosis in frEnch hospital discharge database (The ALPES study)
Authors: L Dari , H Akrach , E Ouattara , C Boulon , J Constans , PARIENTE Antoine
Published: April 2024

Objective: Peripheral artery disease (PAD) of the lower
extremities is a global health concern linked to substantial morbidity
and mortality. Nevertheless, research on PAD within health
administrative databases remains limited. This study aimed to develop
and validate algorithms for the identification of patients with PAD
using French health administrative data. Methods: The study was
conducted at Bordeaux University Hospital from January 2018 to December
2019. Four algorithms combining International Classification of
Diseases, Tenth Revision (ICD-10) codes and procedural codes were
created (1: i70.2 code alone, 2: one diagnosis procedural code, 3: two
diagnosis procedural codes, 4: one procedural code for
revascularization/non-traumatic amputation. PAD status was confirmed
through expert review of electronic medical records using consensus
criteria. Sensitivity, specificity, and predictive values were assessed
for each algorithm. Results: Among 700 randomly selected
patients, 12% were diagnosed with PAD. The first algorithm, using the
ICD-10 code i70.2, had the highest accuracy (sensitivity: 93%, 95%CI
(confidence interval)85-97), specificity: 97%, 95%CI(95-98)). Other
algorithms did not significantly improve these metrics.
Discussion: This study allows considering that in-hospital
coding is reliable for the identification of patients with symptomatic
lower limb PAD in health administrative databases. The i70.2 code alone
displayed the best performance for the identification of inpatient PAD.
International validation studies for PAD algorithms would be needed to
ensure that the proposed identification strategy presents with
acceptable performances in other settings.
• Title: Enhancing Latent Heat Energy Storage with Heat Pipe-Metal Foam: An Experimental Investigation of the Partial Filling Strategy
Authors: Varthani A. Jaisatia , Shasthri S. , Singh Baljit , Kausalyah V.
Published: April 2024

Melting and solidification of a phase change material (PCM) is
investigated experimentally by applying a partial filling strategy to
the hybrid enhancement of heat pipe-metal foam (HP-MF) in a vertical
cylinder. HP-MF enhancement can improve the heat transfer capacity of
the PCM system as it combines HP’s efficient heat transfer capacity with
MF’s highly effective thermal conductivity capability. The experimental
results demonstrate that the partial filling strategy in the melting and
solidification of HP-MF PCM can be optimized for effective MF
utilization in the HP-MF PCM system. A filling ratio of 83% of MF in
HP-MF PCM shows almost identical total melting and solidification along
with a temperature distribution to that of an HP-MF PCM (95% porosity,
20 pore density (PPI)). It is plausible to conclude that the removal of
33% or less mass had no significant effect on the overall melting
process of HP-MF PCM. It should be noted that the HP-MF PCM system’s
heat pipe heat transfer efficiency significantly decreased during the
melting process when the MF filling ratio was 37.5% and 12.5%.
Potential vegetation changes in the permafrost areas over the Tibetan Plateau under future climate warming
Authors: Chen Rui , Nitzbon Jan , Thomas Schneider von Deimling , Stuenzi Simone Maria , Chan Ngai-Ham , Boike Julia , Langer Moritz
Published: April 2024

Permafrost degradation on the Tibetan Plateau is well-documented and
expected to continue throughout this century. However, the impact of
thawing permafrost on the distribution, composition, and resilience of
vegetation communities in this region is not well understood. In this
study, we combined a transient numerical permafrost model with machine
learning algorithms to project the near-future thermal state of
permafrost and vegetation (represented by the Normalized Difference
Vegetation Index [NDVI]) changes under two contrasting climate
pathways (Shared Socioeconomic Pathway 1–2.6 [SSP1–2.6] and
SSP5–8.5). The contribution of climatic and terrestrial variables to
vegetation evolution was quantified using ridge regression. By 2100,
permafrost areas were expected to decrease by 21±4%, and 55±2% under
the SSP1–2.6 and SSP5–8.5 scenarios, respectively, relative to the
baseline period (2000–2018). Under the SSP1–2.6 scenarios, the mean
annual ground temperature and active layer thickness were projected to
fluctuate stably, while under the SSP5–8.5 scenarios, a significant
increasing trend was anticipated. Satellite-based observations indicated
an increasing trend of NDVI within the permafrost areas from 2000 to
2018 (0.01 per decade), mainly attributed to climatic factors. In the
future, vegetation greenness was expected to possibly remain stable
under SSP1–2.6 scenarios, whereas a rising trend was likely noted under
SSP5–8.5 scenarios during 2019–2050, mainly controlled by the surface
air temperature and liquid water content at the root zone during the
growing season. Our modeling work provides a potential approach for
investigating future vegetation changes and offers more possibilities to
improve understanding of the interaction between
soil-vegetation-atmosphere in cold regions.
Exploring Factors Influencing Teachers’ Intention to Adopt Gamified Learning Tools: A UTAUT2-Based Study
Authors: Jebril Hayfaa , Altawaiha Iyad , Metib Areen
Published: April 2024

The integration of Gamified Learning Tools (GLTs) in education has shown
numerous benefits in improving learning outcomes. However, the adoption
of such tools in secondary schools remains low. This study aims to fill
the gap in the literature by examining the factors influencing teachers’
intention to adopt such tools in secondary schools. We used the UTAUT2
model as a theoretical foundation and expanded it by including two new
variables: student motivation and engagement and self-efficacy. Data was
collected from 218 teachers in Jordan through an online survey. The
study’s results revealed that performance expectancy, hedonic
motivation, effort expectancy, self-efficacy, student motivation and
engagement, and facilitating conditions were significant factors
influencing teachers’ intention to adopt gamified learning tools.
However, habit and social influence did not have a significant impact.
The findings contribute to a better understanding of the factors
influencing teachers’ intention to adopt GLTs and provide practical
recommendations for stakeholders.
Implementing a plant hydraulics parameterization in the Canadian Land Surface Scheme Including biogeochemical Cycles (CLASSIC) v.1.4
Authors: Umair Muhammad , Melton Joe R. , Roy Alexandre , Eller Cleiton Breder , Baltzer Jennifer Lynn , Hadiwijaya Bram , qu bo , Perron Nia , Sonnentag Oliver
Published: April 2024

Drought conditions caused by soil moisture stress and/or high vapour
pressure deficit pose a challenge to many terrestrial ecosystem models
(TEMs). The Canadian LAnd Surface Scheme Including biogeochemical Cycles
(CLASSIC) employs an empirical approach to link soil moisture stress
with stomatal conductance. Such soil moisture-based empirical approaches
typically perform poorly during drought. Here, we implemented an
explicit plant hydraulics parameterization, i.e., Stomatal Optimization
based on Xylem hydraulics (SOX), in CLASSIC, thereby connecting the
soil-plant-atmosphere continuum through plant hydraulic traits.
Performance of the resulting CLASSIC$_{SOX}$ was evaluated against
carbon and water fluxes measured with eddy covariance at eight boreal
forest flux tower sites in North America. Compared to CLASSIC,
CLASSIC$_{SOX}$ better simulated gross primary productivity (GPP)
across all sites, i.e., coefficient of determination (R$^{2}$)
increased (0.51 to 0.59), root mean square error (RMSE) and bias
decreased (1.85 to 1.54 g C m$^{-2}$ d$^{-1}$) and (-0.99
to -0.58 g C m$^{-2}$ d$^{-1}$), respectively. Under
drought conditions, identified using the Palmer drought severity index,
GPP simulated with CLASSIC$_{SOX}$ improved compared to CLASSIC,
i.e., R$^{2}$ increased (0.51 to 0.60), and RMSE and bias
decreased (1.79 to 1.46 g C m$^{-2}$ d$^{-1}$) and (-0.97
to -0.53 g C m$^{-2}$ d$^{-1}$), respectively. In
contrast, CLASSIC$_{SOX}$ simulated evapotranspiration worsened,
i.e., R$^{2}$ decreased (0.61 to 0.42), RMSE increased (0.54 to
0.62 mm d$^{-1}$), and bias changed direction (0.09 to -0.09 mm
d$^{-1}$). As evaporation is a highly parameterized process in
CLASSIC, it likely needs to be re-parameterized to account for the SOX
transpiration behaviour.
Thermodynamics Drive Changes in the Antarctic Sea Ice Seasonal Cycle Following 2016
Authors: Himmich Kenza , Vancoppenolle Martin , Stammerjohn Sharon , Bocquet Marion , Madec Gurvan , Sallée Jean-Baptiste , Fleury Sara
Published: April 2024

Antarctic sea ice extent has been persistently low since late 2016,
possibly owing to changes in atmospheric and oceanic conditions.
However, the relative contributions of the ocean, the atmosphere and the
underlying mechanisms by which they have affected sea ice remain
uncertain. To investigate possible causes for this sea-ice decrease, we
establish a seasonal timeline of sea ice changes following 2016, using
remote sensing observations. Anomalies in the timing of sea ice retreat
and advance are examined along with their spatial and interannual
relations with various indicators of seasonal sea ice and oceanic
changes. They include anomalies in winter ice thickness, spring ice
removal rate due to ice melt and transport, and summer sea surface
temperature. We find that the ice season has shortened at unprecedented
rate and magnitude, due to earlier retreat and later advance. We
attribute this shortening to a winter ice thinning, in line with the
ice-albedo feedback, with ice transport playing a more minor role.
Reduced ice thickness has accelerated spring ice area removal as thinner
sea ice requires less time to melt. The consequent earlier sea ice
retreat has in turn increased ocean solar heat uptake in summer,
ultimately delaying sea ice advance. We speculate that the observed
winter sea ice thinning is consistent with previous evidence of
subsurface warming of the Southern Ocean.
Effect of fermentation duration on the microstructure and selected nutritional quality of acha ( Digitaria exilis) flour and acceptability of cookies production
Authors: Sobowale Sunday , Omotoso Oluwole , Agbawodike Joy Ikedichi
Published: April 2024

This study investigated the effect of fermentation durations on the
acha flour and resultant cookies. The acha sample was
fermented at 24, 48 and 72 h, while the native acha flour served
as the control sample. The functional, pasting, nutritional and
micro-structural properties of the fermented acha flour and
sensory evaluation of the cookies were examined. The results indicate
significant differences (p<0.05) in the functional and pasting
properties of the flour and cookies samples. An increase in fermentation
duration enhances oil absorption capacity and dispersibility of the
samples. The protein and ash content of the acha flour samples
increased. The mineral element showed significant difference
(p<0.05) in the calcium, sodium, and zinc content. The Fourier
transform infrared (FTIR) spectra increase the band intensities. The
peaks occurred in the range 3860 - 3650 cm . The
X-ray diffraction (XRD) pattern revealed a slight increase in the
crystallinity of the fermented flour samples. The flour samples
exhibited an A-type XRD pattern while the cookies samples had V-type XRD
pattern. Scanning electron microscopy (SEM) revealed that fermentation
modified the microstructure of the flour, causing it to change from an
irregular compact granular to a regular loose structure. Cookies samples
produced from native and fermented acha flour were acceptable by
the panelist. Therefore, cookies with improved nutritional and
acceptable sensory properties were produced from native and acha
flour fermented between 24 and 72 h. This suggests that fermented
acha flour holds promise for various food applications, including
complementary foods, and gel formulations with reduced syneresis.
Enhanced Breast Cancer Detection Using Modified Particle Swarm Optimization-Based Back Propagation Neural Network
Authors:   1Department of Computer Engineering, Ajayi Crowther University, Oyo, Nigeria 2Department of Computer Science, Ladoke Akintola University of Technology, Ogbomoso, Nigeria 3Department of Computer Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria, Oyerinde Iretioluwa Mojisol , Olabiyisi Stephen Olatunde , Falohun Adeleye Samuel , Awodoye Oluwafemi Olayanju
Published: April 2024

Breast cancer detection faces challenges due to late diagnosis and inaccurate results, leading to improper treatment. Particle Swarm Optimization (PSO), a common optimization technique, often gets trapped in local optima, resulting in high false negatives and computational time. To address this, a study devised a modified PSO-based Back Propagation Neural Network (BPNN) using White Shark Optimization (WSO) for more accurate breast cancer detection. The research collected 1097 mammogram images from two medical centers and categorized them into benign, and malignant groups. Image preprocessing involved techniques like Otsu's method and contrast limited adaptive histogram equalization, with Fuzzy C Means used for segmentation. Region of Interest (ROI) extraction utilized Gabor filter and Local Binary Pattern, followed by weighted average fusion of textural features. WSPSO was then applied for optimal feature selection, and BPNN classified the identified features. MATLAB R2016a implemented the system. Evaluation metrics included accuracy, precision, sensitivity, specificity, False Positive Rate (FPR), and Computation Time (CT). Compared to PSO-BPNN, WSPSO-BPNN demonstrated superior performance. The accuracy, precision, sensitivity, specificity, FPR and CT of WSPSO-BPNN for malignant dataset were 96.88%, 99.08%, 96.43%, 97.92%, 2.08%, and 32.38 seconds, respectively, while the corresponding values for PSO-BPNN were 93.13%, 96.33%, 93.75%, 91.67%, 8.33% and 44.03 seconds, respectively. Also for the accuracy, precision, sensitivity, specificity, FPR and CT of WSPSO-BPNN for benign dataset were 96.15%, 98.14%, 96.34%, 95.71%, 4.29%, and 40.04 seconds, respectively, while the corresponding values for PSO-BPNN were 93.59%, 96.27%, 94.51%, 91.43%, 8.57% and 61.94 seconds respectively showcasing its potential for improving breast cancer diagnosis. Keywords: Back Propagation Neural Network, Breast Cancer, Classification, Mammogram Images, Particle Swarm Optimization, White Shark Optimization. Oyerinde, I.M., Olabiyisi, S.O., Falohun, A.A. & Awodoye, O.O. (2024); Enhanced Breast Cancer Detection Using Modified Particle Swarm Optimization-Based Back Propagation Neural Network. Journal of Advances in Mathematical & Computational Science. Vol. 12, No. 1. Pp 53-62. Available online at www.isteams.net/mathematics-computationaljournal. dx.doi.org/10.22624/AIMS/MATHS/V12N1P5
Common Auditors in the Supply Chain and the Supplier’s Performance
Authors: Su Lixin , Zhang Yue , Zhao Jing , Zhuang Lei
Published: April 2024

We examine the effect of a common auditor within a supply chain, where the auditor serves both the supplier and its customer(s). This dual role allows auditors to leverage and disseminate crucial chain-specific knowledge. Considering that supplier firms are relatively smaller and at a disadvantage compared with their customers, such supply-chain knowledge is valuable for suppliers to make better demand forecasts and business plans. Consistent with this argument, we find that a supplier sharing a common auditor with its customer(s) has a higher ROA, a higher profit margin, a shorter receivable conversion period, and a smaller demand distortion from the bullwhip effect. Performance enhancement is more pronounced when the common auditor has more opportunities to collect and transfer information and when such information transfer is more valuable to the supplier. Our results are robust to alternative measures of common-auditor presence, alternative explanations, and potential endogeneity concerns.

Data Availability: The data that support the findings of this study are openly available.

JEL Classifications: D82; D83; L25; M42.