bluuebunny/crossref_metadata_2025 huggingface dataset:
DicoPolHiS. Transformer la pédagogie universitaire et proposer une nouvelle manière de travailler ensemble sur l’histoire du corps et de la santé
Authors: Guillemain Hervé , Grandbert Anaïs
Published: January 2024

Le projet DicoPolHiS est né en 2020 d’une double ambition. La première était de contribuer à renouveler la pédagogie universitaire en Licence et en Master. La seconde était de proposer de nouvelles formes de valorisation et de réflexion collective dans le champ de l’histoire du corps et de la santé. Quatre années après sa naissance, le projet qui a réuni des centaines d’étudiants et une centaine d’universitaires a connu de nouveaux développements, dans le champ de la recherche et de la valorisation. Cet article revient sur son origine, ses principes originaux, sur ces nouveaux développements et son apport à l’histoire des représentations sociales et culturelles du corps.
The Value of the Adjunct
Authors: Besser Erin D. , Ylagan-Nicanor Rohanna
Published: January 2024

Adjuncts who work in higher education have multiple roles and responsibilities. In a teacher preparation program, adjuncts hold many instructional roles, as well as play a huge role in mentorship through supervision. This study explores the experiences of three adjuncts in essential roles within a teacher preparation program through a community of practice (CoP) lens. Using a narrative inquiry approach, the research design strives to capture a narrative reality by describing the educators' lived experiences. The findings describe the lived experiences of three adjuncts in distinct roles within a teacher preparation program. All three hold multiple roles, each with extensive years in the education field and with various skill sets and backgrounds. Implications offer directions for future research for those that find themselves in part-time instructional roles or teacher education programs that employ adjuncts to support the needs of the departments and college.
The Usefulness of Digital Twin in Manipulator Robot Control
Authors: Cheikh Imane , Omali Khaoula Oulidi , Kabbaj Mohammed Nabil , Benbrahim Mohammed
Published: January 2024

Digital twin (DT) plays a key role in smart industry by being one of the most useful technologies which has the ability to attach the physical space with the cyber space. On the other side of the coin, manipulator robots have also played an essential role in industrial processes, especially that robots are embedded with sensors and actuators that can lead to a smart control. In this study, generalities about digital twin are mentioned; moreover, the relationship between digital twin and the control of manipulator robots is explained step by step. A simulation study has been employed to the universal robot UR10 applying the sliding mode control. This project shows that the cyber space is beneficial for creating a simulated smart industry by observing real-time state of the process, testing different decisions in simulation before performing the required actions directly in the real system, and acting with different situations.
Machine Learning-Based Collection and Analysis of Embedded Systems Vulnerabilities
Authors: Ben Yahya Aissa , El Akhal Hicham , Belrhiti El Alaoui Abdelbaki El
Published: January 2024

The security of embedded systems is deteriorating in comparison to conventional systems due to resource limitations in memory, processing, and power. Daily publications highlight various vulnerabilities associated with these systems. While significant efforts have been made to systematize and analyze these vulnerabilities, most studies focus on specific areas within embedded systems and lack the implementation of artificial intelligence (AI). This research aims to address these gaps by utilizing support vector machine (SVM) to classify vulnerabilities sourced from the national vulnerabilities database (NVD) and specifically targeting embedded system vulnerabilities. Results indicate that seven of the top 10 common weakness enumeration (CWE) vulnerabilities in embedded systems are also present in the 2022 CWE Top 25 Most Dangerous Software Weaknesses. The findings of this study will facilitate security researchers and companies in comprehensively analyzing embedded system vulnerabilities and developing tailored solutions.
Impact of Assessment on Childhood Education Theories and Practice
Authors: Kumar Sanjeev
Published: January 2024

Different modern early childhood teacher education techniques can be used for a child's development, skills, abilities, and overall well-being. It involves observing, testing, and using various assessment tools to comprehensively understand a child's strengths, weaknesses, and areas needing further support or intervention. This book chapter provides comprehensive overviews of the children's assessments are typically conducted by professionals such as psychologists, educators, or other specialists trained in child development and assessment. Assessments help identify any delays or difficulties in a child's development, such as language delays, motor skill deficits, or cognitive impairments. Assessments provide valuable information that helps professionals develop individualized intervention plans to support a child's needs. These plans may involve therapies, educational programs, or other interventions. Assessments can measure a child's academic skills and progress in various subjects, helping educators determine appropriate educational goals.
Future Direction for IoT-Blockchain-Based Marketing
Authors: Agha Mohammadreza Nasiri Jan
Published: January 2024

Marketing is one of the most important organizational units and one of the most important value chain processes in organizations. Since this part of the organization shows the final output of the organization's activities, it has always been one of the strategic parts that organizations pay great attention to. In the coming era, the presence of technologies is mixed in all processes of organizations, and therefore, the processes of the marketing unit, as one of the most important parts of the organization's value chain, are also involved in technologies such as the internet of things and blockchain and artificial intelligence-based analysis. By using these growing technologies in Industry 4.0, it is possible to obtain large and efficient data that was not possible in the past. Therefore, these data, which are accurate, transparent, and based on human performance, can be used for optimal marketing and achieving brilliant organizational results. In this research, the main features of the technology-based marketing system and the future directions of using these tools are examined.
Examining the Core Factors Influencing Sustainable IoT-Based Interactive Marketing in Smart Urban Tourism Destinations
Authors: Nematpour Mohammad , Ghaffari Mohammad
Published: January 2024

Smart urban tourism destinations with IoT-based devices and applications are the future of world tourism. This study identifies core factors of sustainable IoT-based interactive marketing influencing urban tourism destinations. The study adopts a systematic approach with two sides of the tourism system including supply-side and demand-side. The findings showed that factors including smart tourism ecosystems, new business approach employing multi-sided platforms, intra-organizational participative through network-based model, big data analysis, green marketing campaigns, enhance tourists' environmental knowledge and awareness, and smart CRM were determined as core factors on the use of IoT in sustainable interactive marketing. On demand side, based on the findings, perceived usefulness, perceived ease of use, trust, social influence, cyber-resilience, and perceived privacy have been determined as core indicators on the use of IoT in sustainable smart interactive marketing.
Internet of Everything in the Realm of Sustainable Marketing Post COVID-19
Authors: Poddar Bishal , Sethia Harsh , Jadon Atrij , Azhar Mohd
Published: January 2024

The chapter intends to discuss the growing significance of IoE in the realm of sustainable marketing. Nevertheless, the realm of information technology solutions within the domain of sustainable or eco-friendly marketing remains relatively underexplored within the existing literature. Therefore, this study sincerely attempts to fill this void by concerning IoE in the realm of sustainable marketing, specifically in the post-COVID-19 context. This study discusses the increasing significance of post-COVID-19 IoE in sustainable marketing practices, closely examines various constraints and prospects in the Indian context, and provides detailed implications of IoE in sustainable marketing practices. The novelty of the present study lies in the fact that IoE in the realm of sustainable marketing is a less investigated topic, and there is a dearth of literature on the subject.
Dactylology Prediction Using Convolution Neural Networks
Authors: Kishor Kumar Reddy C. , Pullannagari Sahithi Reddy , Doss Srinath , Anisha P. R.
Published: January 2024

Dactylology is a technique used by individuals who are deaf or heard of hearing to communicate by making signs with their fingers, particularly in manual alphabets. The goal of this project is to create a functional, real-time American Sign Language (ASL) recognition system using vision-based methods through finger spelling gestures and provide real-time text or speech outputs for individuals who are deaf and mute. A convolution neural network (CNN) algorithm has been employed. A major benefit of CNNs is their ability to perform image classification with minimal pre-processing when compared to other algorithms. Unlike other approaches that use manually designed filters, CNNs learn these filters automatically through training. By properly displaying the ASL symbols and ensuring adequate lighting without background noise, the system was able to detect nearly all of the symbols accurately. The proposed methodology achieved an accuracy of 94.8% for the 26 letters of the alphabet.
Effective Machine Learning Pricing Model for Indian FMCG Market
Authors: Bhattacharya Bijoly Saha
Published: January 2024

An AI platform is a suite of services that supports the life cycle of machine learning and helps clients select the best product. Its purpose is to maximize the sale of the product, and the resulting profit is focused on various product parameters (like their pricing, their packaging, their expiry dates, and many more). AI algorithms support diverse scenarios such as a seller-buyer relationship to maximize profit for both parties. These platforms are aimed at solving the challenges faced by the growth of global industries and companies, namely the visibility of data throughout the value chain. Systems powered by artificial intelligence improve the productivity, growth, and robustness of the company's foundation. They improve the efficiency of services and resources. This will help the customer identify, choose efficiently, and re-deploy resources into high business potential choices continuously.
Novel Approach for Crop Weed Detection in Wheat Fields Using Deep Learning Algorithms
Authors: Bodhale Akanksha , Verma Seema
Published: January 2024

Agricultural productivity is greatly affected by weeds. To remove these weeds with chemical pesticides is harmful to the ecological environment. Also, with overall level of agricultural production rising, it is becoming more and more crucial to accurately distinguish between crops and weeds in order to perform accurate spraying just on the weeds. For generating precise spraying methods, it is required to identify the crop location and weed location more precisely. In recent years, many weed detection techniques are explored. This approach ranges from conventional to machine learning to deep learning. It is quite necessary to identify the color and texture features from image using image processing techniques for conventional approach. Then these conventional approaches are combined with some classical machine learning techniques. Any classical machine learning method necessitates a limited amount of training time, a low requirement for graphics processing units, and a limited sample size. There are two main approaches to weed detection from images: classification and segmentation.
Software Modernization to Embrace Quantum Technology
Authors: Bansal Payal
Published: January 2024

It has been shown that quantum technology, more specifically quantum computing, is a recent development that can perform calculations very quickly compared to the currently available traditional systems, which are slow in comparison to quantum computers and need to be replaced. This makes it very useful in the fields of research and development because it can perform calculations very quickly, and it also aids in the prediction of natural calamities like drought, tsunami, etc. Despite having many advantages, this technology cannot fully replace the ones that are now in use because of several flaws or shortcomings, such as use complexity, the difficulty of manufacturing systems with quantum computing, lost coherence, and environmental factors. For the technology to be used by regular people, it has to be modernized to reduce engineering complexity.
Empowering Secure Ether Transaction With User-Friendly Experience
Authors: Joshi Hitesh , Nandy Trishita , Khari Manju , Kumar Kapil
Published: January 2024

The financial sector has relied on traditional payment methods that involve middlemen such as banks to facilitate transactions between parties. With the introduction of distributed ledger technology (DLT), which provides a decentralized, secure, and transparent alternative to traditional systems, its shortcomings have, however, become more obvious. A distributed ledger is used by DLT to keep a tamper-proof record of transactions while a consensus algorithm is used to validate transactions and protect them using public key cryptography. Ether Pay is a great way to transfer ether safely and efficiently. It's a decentralized application built on the Ethereum blockchain that uses smart contracts to eliminate middlemen, lower transaction costs, and increase security and privacy. By utilizing DLT, Ether Pay ensures that transfers are secure and transparent. It's a great example of how cryptocurrencies like Ether can increase efficiency and reduce costs for foreign currency exchange.
Precision Agriculture and Unmanned Aerial Vehicles (UAVs)
Authors: Sabir Rehan Mehmood , Sarwar Abid , Safdar Muhammad , Al Ansari Mohammed Saleh
Published: January 2024

This chapter examines the correlation between precision agriculture (PA) and unmanned aerial vehicles (UAVs), emphasizing their pivotal significance in contemporary agricultural practices. This chapter delves into the historical origins of public administration (PA), tracing its progress over time and examining the introduction of unmanned aerial vehicles (UAVs) within this field. The text provides a study of different types of unmanned aerial vehicles (UAVs), examining their distinct qualities, advantages, and diverse range of applications. These applications encompass crop monitoring, soil analysis, irrigation management, and livestock tracking. The chapter also discusses many challenges, including regulatory compliance, data security, and technical limits. Additionally, the chapter emphasizes the practical implementation of unmanned aerial vehicles (UAVs) in both extensive and small-scale agricultural practices, as well as potential advancements and emerging patterns in this field.
Enhancing Aquaculture Efficiency
Authors: Pokkuluri Kiran Sree , Khang Alex , Usha Devi N. S. S. S. N.
Published: January 2024

A major part of supplying the increasing demand for seafood around the world is aquaculture. This work suggests a novel deep learning-based method for automated feed management to improve efficiency. Conventional aquaculture feeding methods frequently depend on manual supervision and recurring feeding schedules, which can have an adverse effect on the environment and result in an inadequate use of resources. By using less resources and addressing environmental issues, this technology not only increases aquaculture productivity, but also promotes sustainable practices. In conclusion, there is a lot of potential for aquaculture operations to be revolutionised by the suggested automated feed management system that uses CNNs (convolution neural networks) and deep learning. It solves long-standing feed management inefficiencies by fusing real-time data analysis with adaptive decision-making, opening the door for a more fruitful and sustainable future for the aquaculture sector.
Complicações cardiológicas agudas da covid-19
Authors: Costa Suélen Aparecida , Coimbra Jorseli Angela Henriques , Gil Nelly Lopes de Moraes , Lima Muriel Fernanda de
Published: January 2024

Objetivo: Elencar as complicações cardiológicas que o COVID-19 tem o potencial de causar. Metodologia:Trata-se de uma revisão integrativa da literatura, os artigos foram pesquisados nas plataformas Biblioteca Virtual em Saúde (BVS) e SciELO, publicados no decorrer do ano de 2020.Resultados:Roram analisados na íntegra 54 artigos, dos quais apenas oito cumpriram os critérios de inclusão. Constatou-se que as complicações cardiológicas mais frequentes causadas pela COVID-19 são, lesões miocárdicas diretas, divididas em miocardite, insuficiência cardíaca e cardiomiopatia; infarto agudo do miocárdio e arritmias.Considerações finais: Conclui-se que o acometimento pulmonar é o principal sítio da infecção do novo vírus, contudo, complicações cardiológicas apareceram de forma considerável na literatura, novos estudos deverão ser realizados para maior esclarecimento do acometimento cardíaco causado pelo novo coronavírus
Assessing Circular Economy Readiness Factors: Empirical Insights from a Developing Nation
Authors: Chulakumara W. M. S. , Thushara S. C.
Published: January 2024

The Circular Economy concept has gained popularity among both researchers and practitioners. However, a comprehensive methodology for assessing a company's Circular Economy Readiness is lacking. Current assessment procedures often lack clarity in terms of metric and indicator selection. To bridge this gap, this paper introduces a novel model that integrates Circular Economy Readiness factors. To address Circular Economy Readiness in developing nations, this study amalgamates national, organizational, and individual readiness factors into a unified model, drawing from recent literature. Readiness for change models and frameworks from selected publications are synthesized to establish a comprehensive conceptual model for Circular Economy Readiness. Five Individual Readiness factors, twelve Organizational Readiness factors, and one factor under National Readiness are identified. These factors analyze CER readiness levels. The model is tested on Colombo Stock Exchange-listed companies, yielding practical insights for policymakers and practitioners to design and implement effective circular economy strategies. The study's findings can be transformed into metrics to gauge CER in developing countries and perhaps in other nations. By comprehensively investigating factors influencing CER across levels and sectors, this research empowers policymakers and practitioners to devise strategies that facilitate the transition to a circular economy.
Assessment of the Effectiveness of Team-based Learning Activities on Learning Outcomes in the Undergraduate Immunology Classroom
Authors: Baty Joshua J , Bruns Heather A
Published: January 2024

Immunology is inherently interdisciplinary. Understanding how the immune system functions requires knowledge from several scientific disciplines, including molecular biology, cellular biology, genetics, and biochemistry. Furthermore, immunology is conceptually complex, requiring the identification of a plethora of immune components and mastery of a large volume of new vocabulary. These attributes can pose challenges to student learning in the undergraduate immunology classroom. Team-based learning (TBL) is a pedagogical method used to increase student engagement in learning, improve student collaboration, and develop communication skills. In a variety of educational settings, TBL activities have been shown to foster a deeper understanding of complex topics, increase student confidence in course content, and improve learning outcomes. In this study, we examined differences in the impact of traditional lecture versus TBL activities on student learning outcomes for four different topics presented in an undergraduate adaptive immunity course composed largely of academically high-performing students. We matched content across two student cohorts, delivered via team-based learning methodology (T cell development and Ab-mediated functions) and traditional lecture (B cell development and T cell effector functions). Student learning was assessed using content questions across a range of Bloom’s taxonomy levels, which demonstrated that the TBL activities did not improve examination performance over lecture-based learning in this course. However, students found this learning tool to be valuable, indicating that the TBL activities assisted with preparation for examinations and provided a necessary opportunity to address misconceptions.
A Functional Assessment of Fetal Liver and Monocyte-Derived Macrophages in the Lung Alveolar Environment
Authors: Zhang Wen Xuan , Neupane Arpan Sharma , David Bruna Araujo , Ginhoux Florent , Vargas e Silva Castanheira Fernanda , Kubes Paul
Published: January 2024

It is becoming clear that every organ is seeded by a population of fetal liver–derived macrophages that are replaced at different rates by monocyte-derived macrophages. Using the Ms4a3tdTomato reporter mouse that reports on monocyte-derived alveolar macrophages (Mo-AMs) and our ability to examine AM function using our multichannel intravital microscopy, we examined the fetal-liver derived alveolar macrophage (FL-AM) and Mo-AM populations within the same mouse under various environmental conditions. The experiments unveiled that AMs migrated from alveolus to alveolus and phagocytosed bacteria identically regardless of ontogenic origin. Using 50 PFU of influenza A virus (IAV) determined using the Madin–Darby canine kidney (MDCK) cell line, we noted that both populations were susceptible to IAV-induced immunoparalysis, which also led to impaired phagocytosis of secondary bacterial infections. Both FL-AMs and Mo-AMs were trained by β-glucan to resist IAV-induced paralysis. Over time (40 wk), Mo-AMs began to outperform FL-AMs, although both populations were still sensitive to IAV. Our data also show that clodronate depletion of AMs leads to replenishment, but by FL-AMs, and these macrophages do show some functional impairment for a limited time. Overall, the system is designed such that new macrophages rapidly assume the function of tissue-resident macrophages when both populations are examined in an identical environment. These data do differ from artificial depletion methods that compare Mo-AMs and FL-AMs.
A Case of Acute Neurologic Deficit and Hypoglycemia in the Setting of Thyroid Storm and Diabetic Ketoacidosis: A New Clinical Scenario
Authors: Aleksashina Alena , Rachina Svetlana , Kiyakbaev Gayrat , Hewathanthirige Girindu , Cherdantseva Yulia
Published: January 2024

The simultaneous development of diabetic ketoacidosis (DKA) and thyroid storm (TS) is a rare but potentially lifethreatening condition that requires immediate and targeted treatment. However, their combined diagnosis poses a serious challenge because of the similarities between their clinical manifestations. To date, only a few dozen cases have been described; most of which have been linked to the progression of thyrotoxicosis or uncontrolled hyperglycemia as contributing factors. We present the case of a 37-year-old woman with type 1 diabetes mellitus and Graves’ disease who presented with both TS and DKA. She was initially admitted to the emergency department as a suspected case of stroke. Severe hypoglycemia significantly lowered her alertness to TS and probably provoked a sharp hyperthyroid decompensation, thereby leading to subsequent DKA development.
The low cross-sectional muscle index at the third cervical vertebra is a marker for sarcopenia in patients with laryngopharyngeal cancer
Authors: Gundog Mete , Kiraz Esin , Eroglu Celalettin
Published: January 2024

Background:

Muscle loss and sarcopenia play a significant role in head and neck cancer. In this study, the value of C3 cross-sectional skeletal muscle index was investigated to evaluate sarcopenia.

Methods:

Seventy-four patients were included in this retrospective study. Skeletal muscle index (SMI) was calculated using the paracervical muscles at the level of the third cervical vertebra. Survival rates and toxicities were compared.

Results:

The 3-year overall survival rates were 33.3% in patients with low SMI (≤44.79) and 63.9% in patients with high SMI (>44.79) (P < 0.01). The 3-year progression-free survival rates were 25.9% in patients with low SMI and 63.2% in patients with high SMI (P < 0.01). Multivariate analyses found that advanced age (>65) was associated with a 2.9-fold increased risk of death and low SMI was associated with a 3.9-fold increased risk of death.

Conclusion:

Low SMI is associated with prolonged treatment time, increased toxicity, and decreased survival.
Mandibular guiding flange prosthesis to guide mandibular deviation following partial mandibulectomy and partial maxillectomy for squamous cell carcinoma: A case report
Authors: Chahal Sujata , Dahiya Divya , Nagar Priya , Duhan Aman , Mittal Surbhi
Published: January 2024

Squamous cell carcinoma is one of the most prevalent cancers affecting the oral cavity. Rehabilitation following surgical treatment requires a multidisciplinary approach and care. Multiple disabilities such as dysarthria, dysphagia, unesthetic appearance, and psychosocial disorders following the surgery for carcinoma can greatly impact the quality of life of such patients, thereby necessitating multidisciplinary intervention. The clinician has to wait for the healing of the lesion and the effects of radiotherapy to be dwindled in case a secondary osseous grafting is planned. During this time lag until a more definitive prosthesis is planned, an interim prosthesis is must to correct the mandibular deviation due to the unilateral muscular pull. This case presentation describes the utilization of guiding flange prosthesis (GFP) as an interim modality for the establishment of a stable and functional maxillomandibular relationship following combined ipsilateral partial mandibulectomy and maxillectomy.
Maxillofacial rehabilitation of orbital rhabdomyosarcoma exenteration: A clinical report
Authors: Abhishek Gopala , Nair Anoop , Kulkarni Reshma , Chakrabarty Abhisikta , Divakar K. P. , Kulkarni Pavan
Published: January 2024

Maxillofacial rehabilitation of an orbital defect plays a crucial role in enhancing the esthetics of the facial defect. The eye is a vital organ, the loss of which requires a customized approach for post-defect rehabilitation. Advanced treatment option such as implant-supported orbital prosthesis has a superior outcome in terms of retention and esthetics, but due to economic factor, it is not affordable for all patients. This case report describes a simplified rehabilitation technique for a patient with an orbital defect where retention is achieved by spectacles and satisfactory esthetics are obtained.
Xanthogranulomatous oophoritis with Leydig cell hyperplasia masquerading as ovarian neoplasm – A case report
Authors: Geetha Priya G , Nivetha S , Kanna Rajesh , Raghavan Vijayashree
Published: January 2024

Xanthogranulomatous oophoritis is an uncommon form of chronic inflammation of the ovary. Its clinical manifestations, imaging findings, and gross picture can mimic an ovarian neoplasm. Hilar cells, which are morphologically difficult to distinguish from testicular Leydig cells, secrete testosterone and they are mostly seen in the ovarian hilum. They can undergo hyperplasia or can transform into a tumor. We present a case of xanthogranulomatous oophoritis with Leydig cell hyperplasia, which mimicked an ovarian neoplasm.
Metastatic deposit of Squamous cell carcinoma of larynx presenting as acute intestinal obstruction: An atypical presentation with literature review
Authors: Balhara Kirti , Nisha  , Mandal Shramana , Khurana Nita , Ghuliani Deepak
Published: January 2024

Laryngeal squamous cell carcinoma (SCC) is the major subtype, accounting for 90% of cancers at this site. While it has a propensity for locoregional spread to cervical nodes, distant metastasis is seen less frequently and mostly to the lungs, bones, and liver, with an overall incidence of 6.5–7.3%. We hereby report a case of a 61-year-old male previously treated for SCC of the larynx, presenting with an acute intestinal obstruction with the presence of metastatic deposits of SCC in the omentum.
Disease characteristics and prognostic factors of colorectal cancer patients with bone metastasis: A real-world data from Turkey
Authors: Karabulut Senem , Afsar Cıgdem Usul , Khanmammadov Nijat , Karahan Latif , Paksoy Nail , Dogan Izzet , Ferhatoğlu Ferhat , Tastekin Didem
Published: January 2024

Background:

Bone metastasis is rarely seen in colorectal cancer (CRC) patients, and there is insufficient data available regarding such cases. The study aimed to identify the prognostic factors and characteristics associated with overall survival in patients with bone metastatic CRC.

Method:

Data from bone metastatic CRC patients referred to a high-volume tertiary cancer center in Turkey, between January 2018 and April 2021, were retrospectively collected. The records of 150 consecutive patients treated for bone metastases due to CRC were reviewed. Overall survival curves were generated by the Kaplan–Meier method and analyzed using the log-rank test.

Results:

Median age was 55 years (19–86 years). Bone metastases were more common in men and those with metachronous metastases. The axial skeleton was the most commonly involved site, and patients were frequently presented with single bone metastasis. Peritoneal metastases were significantly correlated with extra-axial metastases (P = 0.002), and radiotherapy was applied to axial metastases significantly, more frequently (P = 0.02). Lung metastasis was also more prevalent in K-RAS mutated patients (P = 0.008). The median survival time from diagnosis of bone metastasis was 8.3 months (95% confidence interval (CI), 5.5–10.6), and the three-year survival rate was 76.9% (95% CI, 69.8–84.0). Multivariate analysis revealed that brain metastases, right-sided colon tumor, high serum ALP, and Ca 19–9 levels were independent poor prognostic factors (P = 0.01, 0.02, <0.001, and 0.04, respectively).

Conclusions:

The location of CRC correlates significantly with the site of bone metastasis; the prognosis of CRC patients with bone metastasis is very poor, and the significant poor prognostic factors are brain metastases, right-sidedness, high serum ALP, and Ca 19–9 levels. More attention should be paid to bone metastasis in CRC patients.
Complete remission of perineal extra-mammary Paget’s disease by curative-intent radiotherapy using volumetric modulated arc therapy in a patient older than 90 years
Authors: Katano Atsuto , Yamashita Hideomi
Published: January 2024

Localized extra-mammary Paget’s disease (EMPD) is mainly treated with surgical resection. Curative radiation therapy (CRT) is an alternative to surgery. Electron beams and conventional X-ray methods have been used in patients with EMPD for radiotherapy. The present report describes the case of a very elderly patient with perineal EMPD who was treated with definitive radiotherapy consisting of 60 Gy in 30 fractions. Surgery was deemed too difficult because of his age and comorbidities. We adopted volumetric modulated arc therapy as the radiotherapy modality, a recent, advanced form of intensity-modulated radiation therapy. Grade 3 dermatitis was observed as an acute phase adverse event, and he achieved a complete response and maintained remission for over one-year post-treatment. Our radiotherapy treatment protocol resulted in good clinical outcomes; therefore, it may be a candidate for inoperable patients with EMPD.
Is there any diagnostic value of serum caveolin-1 levels on the determination of pancreatic adenocarcinoma?
Authors: Karabulut Senem , Afsar Cigdem U. , Paksoy Nail , Ferhatoglu Ferhat , Dogan Izzet , Tastekin Didem
Published: January 2024

Background:

Caveolin-1 (CAV-1) is a vital component in cancer pathogenesis, as its expression determines the survival of patients with cancer. This study investigates CAV-1 serum levels in pancreatic adenocarcinoma (PA) patients and their role in tumor progression and prognostic factors.

Method:

The trial included 33 patients with pathologically confirmed pancreatic cancer (PC). The enzyme-linked immunosorbent assay (ELISA) method was used to measure the concentrations of CAV-1 in the blood. The study also included 20 healthy subjects. The statistical analysis was two-sided, and a P value of ≤ 0.05 was determined as statistically significant.

Results:

The median age of the subjects was 59 years (32–84 years) at the time of diagnosis. There were 13 (39%) female participants. In 21 (63%) patients, the primary focus was the pancreatic head. In 23 stage IV patients, hepatic metastasis (n = 19, 83%) was observed. Only one patient (3%) was still alive at the end of the study period. Palliative chemotherapy (CTx) was provided, with 39% of the 23 patients responding to it. The overall survival (OS) rate in this cohort was 41.3 ± 8.3 weeks at a 95% confidence interval (CI), after 25–58 weeks. Serum baseline CAV-1 values among patients with PA were significantly higher compared with controls (p = 0.009). Patients with poor performance status, a pancreatic head tumor, lower albumin levels, higher serum carcinoembryonic antigen (CEA) levels, and higher CA 19.9 levels had significantly higher serum CAV-1 levels (p = 0.01, P = 0.05, P = 0.03, P = 0.02, and P = 0.04, respectively). However, CAV-1 did not show any prognostic value (p = 0.75).

Conclusion:

Although serum CAV-1 is a useful diagnostic marker in PC patients, it is not a prognostic or predictive marker.
Ophthalmic giant cell arteritis in a patient with normal visual acuity
Authors: Hall MacGregor N. , Maleki Arash
Published: January 2024

In this study, we report a case of giant cell arteritis (GCA) and central retinal artery occlusion (CRAO) with cilioretinal artery sparing in a patient who presented with normal visual acuity and was treated with corticosteroids and tocilizumab. An 80-year-old male presented with restriction of his peripheral vision in the right eye along with fever, generalized headache, and jaw pain. His visual acuity was 20/20 in both eyes (OU) with an afferent pupillary defect in the right eye. Dilated fundoscopy revealed whitening of the retina around the vascular arcades with sparing of the central macula in the right eye, indicating CRAO sparing the cilioretinal artery. Laboratory evaluation revealed elevated inflammatory markers. The patient was treated initially with a pulse dose of intravenous corticosteroids, followed by an oral steroid taper, and he underwent a temporal artery biopsy (TAB). At 1-week follow-up, the patient reported improvement in his right eye visual symptoms. The TAB results confirmed the diagnosis of GCA, and the patient’s oral steroid was tapered with the addition of subcutaneous tocilizumab. One month later, the patient’s inflammatory markers returned to normal, and the patient’s vision remained stable. We conclude from this case that GCA may present with normal visual acuity, it can affect the central retinal artery without posterior ciliary artery involvement, and the combination of corticosteroids and subcutaneous tocilizumab may be an adequate treatment regimen.
Symmetry and asymmetry in a multi-phase overdetermined problem
Authors: Cavallina Lorenzo
Published: January 2024

A celebrated theorem of Serrin asserts that one overdetermined condition on the boundary is enough to obtain radial symmetry in the so-called one-phase overdetermined torsion problem. It is also known that imposing just one overdetermined condition on the boundary is not enough to obtain radial symmetry in the corresponding multi-phase overdetermined problem. In this paper we show that, in order to obtain radial symmetry in the two-phase overdetermined torsion problem, two overdetermined conditions are needed. Moreover, it is noteworthy that this pattern does not extend to multi-phase problems with three or more layers, for which we show the existence of nonradial configurations satisfying countably infinitely many overdetermined conditions on the outer boundary.
Geometry of constant mean curvature surfaces in $\mathbb{R}^{3}$
Authors: Meeks III William H. , Tinaglia Giuseppe
Published: January 2024

The crowning achievement of this paper is the proof that round spheres are the only complete, simply-connected surfaces embedded in

\mathbb{R}^{3}

with nonzero constant mean curvature. Fundamental to this proof are new results including the existence of intrinsic curvature and radius estimates for compact disks embedded in

\mathbb{R}^{3}

with nonzero constant mean curvature. We also prove curvature estimates for compact annuli embedded in

\mathbb{R}^{3}

with nonzero constant mean curvature and apply them to obtain deep results on the global geometry of complete surfaces of finite topology embedded in

\mathbb{R}^{3}

with constant mean curvature.
Carvacrol-loaded invasomes efficacy against multidrug resistant isolates of Enterobacteriaceae and housefly
Authors: Yehia Marwa , Gamal Amr , Abo El-Ela Fatma I. , Abdel-Baki Abdel-Azeem S , Ibrahium Samar M , Shokier Khaled AM , Al-Quraishy Saleh , Hassan Ahmed O , Abdelgelil Noha H , Aboelhadid Shawky
Published: January 2024

The current study aimed to evaluate the antimicrobial activity of carvacrol-loaded invasomes (CLI) against multidrug-resistant (MDR) Enterobacteriaceae and its mechanical vector, the housefly. CLI were prepared and characterized in the laboratory. Escherichia coli, Pseudomonas aeruginosa, Salmonella enterica subsp. enterica serovar Enteritidis, Salmonella enterica subsp. enterica serovar Typhimurium, and Klebsiella oxytoca were among the MDR enterobacteriaceae stains investigated. These strains were first isolated and identified from naturally infected chickens. The antibacterial activity of CLI against the MDR isolates was evaluated using the diffusion method. In addition, the insecticidal activity of CLI against housefly larvae and pupae was tested. The MDR index of all evaluated isolates was greater than 20%, indicating that they were all multidrug-resistant. CLI decreased the growth of all isolates except S. Typhimurium and P. aeruginosa at a dose of 0.0125%; however, pure carvacrol inhibited the growth of only Klebsiella oxytoca. Furthermore, both CLI and pure carvacrol inhibited Klebsiella oxytoca growth at different concentrations. CLI inhibited E. coli and S. enteritidis at lower concentrations than pure carvacrol, even at a doubled concentration. Carvacrol and CLI caused significant larval mortality even at low concentrations, with LC50 reached at concentartions of 2.54 and 2.19 µl/ml, respectively. Furthermore, at a low concentration of 3.125 µl/ml, both elicited a high percentage inhibition rate (PIR) in pupae. In conclusion, CLI demonstrated substantial antibacterial action, particularly against MDR isolates, as well as pesticide activity against houseflies.
О периодическом ветвящемся случайном блуждании на $\mathbf{Z}^{d}$ c бесконечной дисперсией скачков
Authors: Ryadovkin K S
Published: January 2024

В работе рассматривается периодическое ветвящееся случайное блуждание с периодически расположенными источниками ветвления. Предполагается, что интенсивности переходов случайного блуждания удовлетворяют нескольким условиям симметрии, а на переходные интенсивности случайного блуждания накладывается условие, приводящее к бесконечной дисперсии скачков. В этом случае получен старший член асимптотики средней численности частиц в произвольной точке решетки при больших временах.
Impact of Motivation for Eating Habits, Appetite and Food Satisfaction, and Food Consciousness on Food Intake and Weight Loss in Older Nursing Home Patients
Authors: Wakabayashi Hidetaka , Kinoshita Shoji , Isowa Tokiko , Sakai Kotomi , Tohara Haruka , Momosaki Ryo
Published: January 2024

Background: This study analyzed data from the Long-term care Information system For Evidence (LIFE) database to examine the effects of motivation to eat, appetite and food satisfaction, and food consciousness on food intake and weight loss.Methods: Of the 748 nursing home residents enrolled in the LIFE database, 336 met the eligibility criteria for this cross-sectional study. Motivation to eat, appetite and food satisfaction, and food consciousness were rated on five-point Likert scales (e.g., good, fair, normal, not so good, and not good). We applied Spearman rank correlation coefficient and multiple regression analyses to analyze the relationships between these three items, daily energy and protein intake, and body weight loss over 6 months.Results: The mean participant age was 87.4±8.1 years and 259 (77%) were female. The required levels of care included—level 1, 1 (0%); level 2, 4 (1%); level 3, 107 (32%); level 4, 135 (40%); and level 5, 89 (27%). The mean daily energy intake was 28.2±7.8 kcal/kg. The mean daily protein intake was 1.1±0.3 g/kg. The mean weight loss over six months was 1.2±0.7 kg. We observed strong positive correlations among motivation to eat, appetite and food satisfaction, and food consciousness (r>0.8). These three items were significantly associated with higher daily energy intake but not with daily protein intake. Only appetite and food satisfaction were significantly associated with lower weight loss over six months.Conclusion: The observed associations of appetite and food satisfaction suggest that these factors may be more important to assess than motivation to eat or food consciousness among older adult residents of long-term care facilities.
METODOLOGIAS ATIVAS NA EDUCAÇÃO
Authors: Pereira João Alves , Silva Eliane Rozario da , Vilalva Ester Aparecida de Mei Mello , Rodrigues Fábio Feitosa , Castro Vander Aparecido de
Published: January 2024

Diante da necessidade de preparar os alunos para os desafios do século XXI, as metodologias ativas surgem com o propósito de promover uma aprendizagem mais significativa e alinhada ao novo cenário mundial, formando cidadãos autônomos, colaborativos, criativos e com pensamento crítico. Nessa perspectiva, a aprendizagem baseada em projetos configura-se como uma das estratégias educacionais mais populares em uma abordagem ativa, pois coloca os alunos no centro do processo de ensino-aprendizagem, utilizando projetos como veículos para a aquisição de conhecimento e desenvolvimento de habilidades. Além disso, é importante destacar o papel das tecnologias na utilização de qualquer metodologia ativa. As ferramentas digitais e plataformas online oferecem recursos que potencializam a interatividade, personalização e acessibilidade, bem como proporcionam ambientes mais dinâmicos e colaborativos. O objetivo deste trabalho é refletir sobre a importância das metodologias ativas na educação, ressaltando a abordagem baseada em projetos, assim como destacar a importância das tecnologias para essas metodologias. Para isso, foi realizada uma pesquisa bibliográfica em obras sobre educação e tecnologia que resultou na presente exposição dos conceitos e fatos sobre as metodologias ativas, a importância das tecnologias para essa abordagem, e a aprendizagem baseada em projetos. O estudo apontou a importância das metodologias ativas, da aprendizagem baseada em projetos e da utilização das tecnologias nos modelos de aprendizagem ativa.
COMO PROMOVER A MOTIVAÇÃO PARA OS ESTUDANTES NO AMBIENTE E-LEARNING
Authors: Costa Elionides José da , Pereira Filomena Alves , Meroto Monique Bolonha das Neves , Oliveira Nivaldo Pedro de , Mungo Wesley Schulz
Published: January 2024

Este artigo aborda a importância da motivação e do ambiente de aprendizagem no processo educacional. A motivação é o conjunto de razões, desejos e necessidades que impulsionam as pessoas a agir e buscar objetivos. Ela é essencial para o desempenho, realização e satisfação pessoal. O ambiente de aprendizagem refere-se ao contexto físico, social e psicológico onde ocorre o processo de aprendizado. Ele engloba o espaço físico, os recursos educacionais, as interações entre alunos e professores, além da cultura e clima emocional. Um ambiente de aprendizagem eficaz estimula a participação ativa, a curiosidade, o engajamento e a colaboração dos alunos. Um ambiente de aprendizagem inclusivo e acolhedor valoriza a diversidade e proporciona igualdade de oportunidades. Ele promove autonomia, motivação intrínseca e crescimento pessoal, permitindo que os alunos se tornem aprendizes ativos e independentes. No e-learning, promover a motivação é essencial para o engajamento efetivo dos alunos. Estratégias como o uso de recursos multimídia, atividades desafiadoras e relevantes, personalização do aprendizado, estabelecimento de metas claras, feedback regular e a criação de uma comunidade de aprendizado online positiva e colaborativa são importantes para estimular a motivação dos alunos no ambiente virtual. Implementar essas estratégias possibilita criar um ambiente de e-learning estimulante, promovendo a motivação intrínseca dos alunos e melhorando os resultados educacionais.
PROPÓSITO E POTENCIALIDADE DO CURRÍCULO & BNCC
Authors: Ricardo Fabiana Pereira de Aguiar , Gaspar Alexandre Paiva , Caciatori Amneris Ribeiro , Cabral Marcio da Veiga , Teracin Vera Cristina Souza
Published: January 2024

Este trabalho apresenta dois temas que caminham juntos, o Currículo Educacional Brasileiro e a Base Nacional Comum Curricular (BNCC) que são aplicadas na Educação Básica nas instituições de ensino, com o propósito de regular as competências e habilidades importantes a serem desenvolvidas no conteúdo aplicado em sala de aula aos discentes, em busca de promover o ensino-aprendizagem. O Currículo Educacional Brasileiro e a Base Nacional Comum Curricular (BNCC) se complementam e exige uma preparação complexa da escola, já que envolve normas, leis e tendências da sociedade, que afetam os conhecimentos transmitidos aos alunos. Para o desenvolvimento deste trabalho, ocorreu estudos através de uma revisão de literatura, tendo como fonte de dados a Biblioteca Digital, bem como a revisão bibliográfica realizada a partir do referencial teórico apresentado na disciplina “Princípios do Projeto de Currículo”. Portanto o Currículo Educacional Brasileiro de acordo com as normativas da Base Nacional Comum Curricular (BNCC), busca auxiliar as necessidades dos alunos para que as aprendizagens sejam expressivas, bem como garantir um ensino de qualidade nas instituições de ensino.
EDUCAÇÃO E MÍDIAS DIGITAIS
Authors: Galvão Rosângela Cardoso da Silva , Marins Josecarlos Emanuel Magalhães , Ferreira Kênia Cristina Soares , Ribeiro Rodrigo Vieira , Mira Sandra Cristina
Published: January 2024

Este trabalho tem como matéria “Educação e Mídias Digitais”. Não se pode refletir sobre a mídia digital como algo novo, que não possui nada de comum com o que já fora desenvolvido décadas atrás, no campo da comunicação. Desta forma, todos as ferramentas já usadas nos dias atuais pela denominada imprensa vão interferir neste campo da mídia digital. O ponto essencial é por esta influencia num nível que consiga abrir caminhos para o novo, onde somente copiar aquilo que já existe, não é o que se espera do quem sendo construído nos dias atuais. Desta forma, o objetivo deste trabalho é explicar as perspectivas das novas mídias digitais no processo educacional, contextualizando também que as mídias digitais no dia a dia dos alunos, de forma a ressaltar a importância delas e como incentivam a vontade de aprender dos sujeitos. Para a construção do referencial teórico utilizou-se a pesquisa bibliográfica. Nota-se que todo o contexto de uso das mídias no processo educacional só será possível quando a qualidade da educação de qualquer lugar seja adequada a sociedade, o manuseio das tecnologias não é um questão tão discutida quanto outras, visando que a realidade em muitos países é que a educação básica que tem não é adequado em se alimentar novas formas de educação.