bluuebunny/crossref_metadata_2025_split huggingface dataset:
A pan-cancer agent for screening, resection and wound monitoring via NIR and SWIR imaging
Authors: Larney Benedict Mc , Sonay Ali , Apfelbaum Elana , Mostafa Nermin , Monette Sébastien , Goerzen Dana , Aguirre Nicole , Isaac Elizabeth , Phung Ngan , Skubal Magdalena , Kim Mijin , Ogirala Anuja , Veach Darren , Heller Daniel , Grimm Jan 
Published: January 2024

Abstract

Fluorescence guided surgery (FGS) facilitates real time tumor delineation and is being rapidly established clinically. FGS efficacy is tied to the utilized dye and provided tumor contrast over healthy tissue. Apoptosis, a cancer hallmark, is a desirable target for tumor delineation. Here, we preclinically in vitro and in vivo, validate an apoptosis sensitive commercial carbocyanine dye (CJ215), with absorption and emission spectra suitable for near infrared (NIR, 650-900nm) and shortwave infrared (SWIR, 900-1700nm) fluorescence imaging (NIRFI, SWIRFI). High contrast SWIRFI for solid tumor delineation is demonstrated in multiple murine and human models including breast, prostate, colon, fibrosarcoma and intraperitoneal colorectal metastasis. Organ necropsy and imaging highlighted renal clearance of CJ215. SWIRFI and CJ215 delineated all tumors under ambient lighting with a tumor-to-muscle ratio up to 100 and tumor-to-liver ratio up to 18, from 24 to 168 h post intravenous injection with minimal uptake in healthy organs. Additionally, SWIRFI and CJ215 achieved non-contact quantifiable wound monitoring through commercial bandages. CJ215 provides tumor screening, guided resection, and wound healing assessment compatible with existing and emerging clinical solutions.
Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5, and Humans in Clinical Chemistry Multiple-Choice Questions
Authors: Sallam Malik , Al-Salahat Khaled , Eid Huda , Egger Jan , Puladi Behrus 
Published: January 2024

Abstract
Background
The advances in large language models (LLMs) are evolving rapidly. Artificial intelligence (AI) chatbots based on LLMs excel in language understanding and generation, with potential utility to transform healthcare education and practice. However, it is important to assess the performance of such AI models in various topics to highlight its strengths and possible limitations. Therefore, this study aimed to evaluate the performance of ChatGPT (GPT-3.5 and GPT-4), Bing, and Bard compared to human students at a postgraduate master’s (MSc) level in Medical Laboratory Sciences.
Methods
The study design was based on the METRICS checklist for the design and reporting of AI-based studies in healthcare. The study utilized a dataset of 60 Clinical Chemistry multiple-choice questions (MCQs) initially conceived for assessment of 20 MSc students. The revised Bloom’s taxonomy was used as the framework for classifying the MCQs into four cognitive categories: Remember, Understand, Analyze, and Apply. A modified version of the CLEAR tool was used for assessment of the quality of AI-generated content, with Cohen’s κ for inter-rater agreement.
Results
Compared to the mean students’ score which was 40/60 (66.8%), GPT-4 scored 54/60 (90.0%), followed by Bing (46/60, 76.7%), GPT-3.5 (44/60, 73.3%), and Bard (40/60, 66.7%). Statistically significant better performance was noted in lower cognitive domains (Remember and Understand) in GPT-3.5, GPT-4, and Bard. The CLEAR scores indicated that ChatGPT-4 performance was “Excellent” compared to “Above average” performance of ChatGPT-3.5, Bing, and Bard.
Conclusions
The findings indicated that ChatGPT-4 excelled in the Clinical Chemistry exam, while ChatGPT-3.5, Bing, and Bard were above-average. Given that the MCQs were directed to postgraduate students with a high degree of specialization, the performance of these AI chatbots was remarkable. Due to the risks of academic dishonesty and possible dependence on these AI models, the appropriateness of MCQs as an assessment tool in higher education should be re-evaluated.
Multiclass Classification of Heterogeneous Blood Cells Using Deep Learning and contourlet Transform
Authors: Eslamifar Omid , Soltani Mohammadreza , Fatemi Mohammad Jalal Rastegr 
Published: January 2024

Abstract
The classification of human blood cells is very important in the diagnosis of inflammation, infection and blood disorders such as leukemia. Diagnosis of blood malignancies requires identification and classification of white blood cells in peripheral blood smear. The pathologist spends a lot of time analyzing blood cells to determine the minor differences between blood subsets. Due to the high similarity of blood types, human error is sometimes possible. Manual procedures for diagnosing blood diseases are time-consuming, subjective and prone to human error. Therefore, we need machine analysis of microscopic images. Usually, methods based on image processing contain limitations. On the other hand, with the increase in computational processing power in computer-based clinical diagnosis systems, it has enabled the use of machine learning methods. In this article, we will use the combination of deep learning; Gabor filter and wavelet transform to provide a high accuracy blood cells classification model while extracting features from macroscopic images. The basis of the current research is the classification of blood smear images using the combination of contourlet transform, recurrent neural network and optimization method. Feature extraction is based on the combination of wavelet transform and recurrent neural network and feature selection is based on the African vulture optimization method. Finally, an innovative classifier based on clustering is presented to classify different blood cells. Based on the results obtained on the set of Jiangxi Tecom images, the proposed design has achieved an acceptable accuracy and has been able to increase the precision, recall and F-Measure.
Acceptability and Feasibility of Using Point of Care Ultrasound Scan Among Health Care Professionals in Eastern Uganda: a Cross-sectional Study
Authors: Okiror William , Namayanja Cate , Okalebo Charles Benard , Eregu Egiru Emma Isiah , Ongodia Paul , Ndila Carolyne Mukami , Paasi George , Schmidt Jessica , Olupot-Olupot Peter 
Published: January 2024

Abstract
Background
Health care professionals (HCPs) face diagnostic challenges especially when confronted with undifferentiated critically ill patients at emergency care unit. The need for improvement in diagnostic capabilities is greater in settings with limited clinical, radiological and laboratory capabilities. Point-of-care ultrasound (POCUS) has been suggested to offer some diagnostic solutions in resource-limited settings. This study aimed to assess the acceptability and feasibility of using POCUS for diagnosing patients at health facilities in resource-limited settings in Eastern Uganda.
Methods
This cross-sectional study purposively enrolled HCPs in Eastern Uganda. Data were analyzed using the STATA statistical analysis software for univariate analysis and presented using frequency tables and proportions.
Results
A total of 52 HCPs of various cadres were studied, including 22/52 (42.3%) nurses, 15/52 (28.8%) medical officers, 10/52 (19.2%) clinical officers, 2/52 (3.8%) intern nurses, and 2/52 (3.8%) specialists. Over one half 27/52 (51.9%) had heard of POCUS of whom 9/27 (33.3%) had formal training with 7/27 (25.9%) of them having used POCUS. While 25/27 (92.6%) had witnessed someone performing POCUS diagnostic procedure. The majority of HCPs 41/52 (78.8%) expressed interest in undergoing a training on POCUS, moreover 42/52 (80.8%) thought it was helpful in medical practice. The common barriers on use of POCUS cited were high cost of equipment and training, lack of an ultrasound machine, lack of mentors and time to train learners.
Conclusion
POCUS use is acceptable among HCPs, but its potential in these settings is dependent on overcoming barriers to its use.
Influence of salt levels on the quality characteristics and microbial count of Pizza cheese prepared employing a starter culture technique through technological interventions using Saccharomyces boulardii as an adjunct
Authors: BIHOLA ANKIT , JANA ATANU H. , Suvera Priyanka , Adil Shaikh 
Published: January 2024

Abstract
Research was carried out to study the influence of two levels of salt on the quality characteristics of Pizza cheeses prepared using Saccharomyces boulardii adjunct culture. Two protocols were employed: Protocol I using unhomogenized milk and cheddaring of cheese curd before plasticizing (CCUM) and Protocol II using a milk blend of homogenized and unhomogenized milks (CBHM) to determine the S. boulardii count as affected by salt levels. All the cheeses conformed to the FSSR standard. The cheese CBHM2.25 was associated with higher moisture, FDM content and yield. The hardness, cohesiveness and springiness of CCUM1.75 and CCUM2.25 as well as CBHM1.75 and CBHM2.25 were similar. Judging cheese as a pizza topping revealed that the highest flavour and total scores were assigned to cheeses CCUM1.75 and CCUM2.25 respectively. Maximum stretch length was associated with cheese CCUM1.75. The LAB count of cheeses CCUM and CBHM was favoured in the presence of S. boulardii. The highest LAB and S. boulardii counts were associated with cheese CBHM1.75. The counts of S. boulardii and LAB in Pizza cheese tended to be lower when using higher salt levels (i.e. 2.25%). It is recommended to use salt at a level of 1.75% when employing S. boulardii culture as an adjunct starter.
Blockade of the platelet-driven CXCL7-CXCR1/2 inflammatory axis prevents murine cerebral aneurysm formation and rupture
Authors: Nowicki Kamil W. , Mittal Aditya , Hudson Joseph S. , D’Angelo Michael P. , McDowell Michael M. , Cao Catherine , Mantena Rohit , Jauhari Abhishek , Friedlander Robert M. 
Published: January 2024

Abstract
BACKGROUND
Platelet aggregation is intimately associated with vascular inflammation and is commonly seen on routine histology studies of cerebral aneurysms. Platelets, when activated, have been shown to augment neutrophil response and the proinflammatory cascade. Platelet-neutrophil complexes have been found to aggravate atherosclerosis through a positive feedback loop. We hypothesized that targeting platelet aggregation and downstream inflammation could be used to prevent aneurysm formation and progression.
METHODS
First, we induced cerebral aneurysm formation in a previously described intracranial aneurysm model via carotid artery ligation, hypertension, and stereotactic elastase injection in C57BL/6 mice, and analyzed vessels for lesion and thrombus formation. Raybiotech cytokine arrays were used to analyze 96 cytokines in induced murine aneurysms and 120 cytokines in human tissue samples. Cerebral aneurysm formation and inflammatory pathway was then studied in animals treated with IgG2 antibody (control), anti-GpIb antibody (platelet depletion), 1:10 DMSO:PBS (control), clopidogrel, anti-CXCR1/2 small molecule inhibitor, or anti-CXCL7 antibody. Bleeding assays and flow cytometry were used to evaluate platelet function in treated groups.
RESULTS
CD31 + platelet aggregates are a common feature in human and mouse cerebral aneurysm specimens. Platelet ablation in mice prevents cerebral aneurysm formation (20% vs 100% in control antibody treated mice, n = 5 each, p = 0.0476). Mice treated with 1 mg/kg clopidogrel develop significantly less aneurysms than controls (18% vs 73%, n = 11 and 11 respectively, p = 0.03). Semi-quantitative analysis of 96 different cytokines using Raybiotech arrays shows increased protein expression of CXCL7 in murine cerebral aneurysms when compared to controls. Treatment with clopidogrel results in reciprocal decrease in detected CXCL7. Targeting CXCL7-CXCR1/2 axis with 10 mg/kg reparixin (CXCR1/2 antagonist) significantly decreases cerebral aneurysm formation (11% vs 73%, n = 9 and 11, p = 0.0098) while treatment with 10 mg/kg SB225002 tends to decrease aneurysm formation (36% vs 73%, n = 11 vs n = 7, p = 0.11). Lastly, specific antibody blockade against CXCL7 using anti-CXCL7 antibody at 100 ug/mL significantly decreases cerebral aneurysm formation (29% vs 75%, n = 7 vs n = 8, p = 0.046).
CONCLUSIONS
Platelet inflammation has an important role in cerebral aneurysm formation. Small molecule inhibitors targeting platelet CXCL7-CXCR1/2 inflammatory axis could be used to prevent cerebral aneurysm formation or progression.
Exploring the Dynamics of Technology Transfer and Automation in Universities: A Case Study on Fostering Entrepreneurship and Startup Ecosystems at Bangladesh Open University
Authors: Nayem Syeda Zakia , Hossain Md. Sabbir , Khatun Mariam 
Published: January 2024

Abstract
This study provides an in-depth examination of the dynamics of technology transfer, automation, and entrepreneurship at Bangladesh Open University (BOU), utilizing a qualitative research approach. Through interviews with 30 key stakeholders, including faculty, students, and administrators, the study employs thematic analysis, facilitated by NVivo, to extract rich insights. The findings reveal moderate successes in technology transfer, marked by challenges in commercializing academic research and establishing strong industry links. In the realm of automation, the study highlights its significant role in enhancing educational accessibility, juxtaposed with challenges in digital literacy and resource disparities. The growth of the entrepreneurship ecosystem at BOU is evident, yet it is tempered by a need for more robust support structures, particularly in mentorship and funding. These qualitative insights offer a nuanced perspective on BOU’s alignment with, and divergence from, established theories such as the Triple Helix Model and Academic Entrepreneurship Theory, highlighting the unique challenges and opportunities in an open university setting. The study’s findings provide valuable contributions to academic discourse, emphasizing the need for tailored strategies in technology integration and entrepreneurial development in higher education, especially relevant in the context of developing countries.
JEL Classification L26 . M13. O33
Performance Analysis on Thermal Reflection of Disc Brake Applying Soft Computing
Authors: Bhattacherjee Sourav , Jana Bidyut 
Published: January 2024

Abstract
Braking is a process which converts the kinetic energy of the vehicle into mechanical energy which must be dissipated in the form of heat. The disc brake is a device for de-accelerating or stopping the rotation of a wheel. A brake disc (or rotor) usually made of cast iron or ceramic composites, is connected to the wheel or the axle. Friction material in the form of brake pads (mounted on a device called a brake calliper) is forced mechanically, hydraulically, pneumatically or electromagnetically against both sides of the disc to stop the wheel. The present research is basically deals with the modelling and analysis of solid and ventilated disc brake using Pro-E and ANSYS. Finite element (FE) models of the brake-disc are created using Pro-E and simulated using ANSYS which is based on the finite element method (FEM). In this research Coupled Analysis (Structural & Thermal analysis) is performed in order to find the strength of the disc brake.. Comparison has been done for displacement, stresses, nodal temperatures, etc. for the two materials to suggest the best material, applicable for FSAE (Formula Society of Automotive Engineers) car also. An analytical model is presented in this paper for the determination of the contact temperature distribution on the working surface of a brake. To consider the effects of the moving heat source (the pad) with relative sliding speed variation, a transient finite element technique is used to characterize the temperature fields of the solid rotor with appropriate thermal boundary conditions. In this paper three different cut patterns of brake disc are studied for heat transfer rate. Numerical results shows that the operating characteristics of the brake exert an essentially influence on the surface temperature distribution and the maximal contact temperature.
Innovative Solar Energy Solution for Hong Kong High-Rise Buildings
Authors: Habib Muhammad Irfan , Shabir Ahsan 
Published: January 2024

Abstract
This research paper provides an innovative technique to save electricity in Hong Kong by installing flexible solar-thin-film solar technology on the exterior walls of high-rise buildings. The proposed idea aims to generate electric power all day, storing extra energy in the batteries and directly distributing it to each apartment; it will reduce reliance on traditional electricity sources. This idea's financial and eco-friendly benefits are purposed and described, demonstrating significant potential for widespread implementation.
Integrated analytic hierarchy process and fuzzy analytic hierarchy process for Sahel watershed flood susceptibility assessment, Algeria
Authors: Mokhtari Elhadj , Abdelkebir Brahim , Djenaoui Abdelouahed , Hamdani Nour El Houda 
Published: January 2024

Abstract

Effective disaster management heavily relies on accurate flood susceptibility mapping. The fuzzy analytic hierarchy process (FAHP) is adept at considering the imprecise nature of decision-making criteria. This study assesses FAHP's effectiveness in flood susceptibility mapping, comparing it with the conventional analytic hierarchy process (AHP). By using Geographic Information System-analyzed remotely sensed data, the research systematically evaluates flood risk southeast of Algiers. Various datasets, including Digital Elevation Model, slope, precipitation, and land use maps, were collected via remote sensing. A linear fuzzy membership function transformed the data into fuzzy values. AHP determined the importance of each dataset, with calculated weights multiplied by corresponding fuzzy values. Fuzzy analysis combined these characteristics into a five-category flood risk map, verified with Google Earth and satellite images. Results indicate a high potential for flood hazard mapping, categorizing 30% of frequently flooded regions as high risk. Maps reveal north basin areas are more flood prone due to excessive precipitation, and urban areas in floodplains are vulnerable. Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) assessments demonstrate AHP and FAHP's effectiveness. AUC values of 88.40 and 92% indicate that both models accurately predict flood-prone areas. FAHP excels, reducing subjectivity and ambiguity in human judgments.
Obesity and its Relationship with Covid-19: A Review of the Main
Pharmaceutical Aspects
Authors: Hodel Katharine , Fonseca Ananda , Barbosa Islania , Medina Caio , Alves Brenda , Maciel Carine , Nascimento Daniel , Oliveira-Junior Gessualdo , Pedreira Lorena , de Souza Monielly , Godoy Ana Leonor 
Published: January 2024

Abstract:
Important physiological changes are observed in patients with obesity, such as intestinal
permeability, gastric emptying, cardiac output, and hepatic and renal function. These differences
can determine variations in the pharmacokinetics of different drugs and can generate different
concentrations at the site of action, which can lead to sub therapeutic or toxic concentrations.
Understanding the physiological and immunological processes that lead to the clinical
manifestations of COVID-19 is essential to correlate obesity as a risk factor for increasing the
prevalence, severity, and lethality of the disease. Several drugs have been suggested to control
COVID- 19 like Lopinavir, Ritonavir, Ribavirin, Sofosbuvir, Remdesivir, Oseltamivir, Oseltamivir
phosphate, Oseltamivir carboxylate, Hydroxychloroquine, Chloroquine, Azithromycin,
Teicoplanin, Tocilizumab, Anakinra, Methylprednisolone, Prednisolone, Ciclesonide and Ivermectin.
Similarly, these differences between healthy people and obese people can be correlated
to mechanical factors, such as insufficient doses of the vaccine for high body mass, impairing the
absorption and distribution of the vaccine that will be lower than desired or can be linked to the
inflammatory state in obese patients, which can influence the humoral immune response. Additionally,
different aspects make the obese population more prone to persistent symptoms of the
disease (long COVID), which makes understanding these mechanisms fundamental to addressing
the implications of the disease. Thus, this review provides an overview of the relationship
between COVID-19 and obesity, considering aspects related to pharmacokinetics, immunosuppression,
immunization, and possible implications of long COVID in these individuals.
Functional Roles of Tumor Protein D52 (TPD52) in Breast Cancer
Authors: Zehtabi Mojtaba , Maleknia Mohsen , Anbiyaiee Amir , Jafari Razieh Mohammad , Moramezi Farideh , Farzaneh Maryam , Azizidoost Shirin 
Published: January 2024

:
Breast cancer is an aggressive disease with a significant morbidity and death rate among
women worldwide. Despite the progress of diagnostic and therapy options for breast cancer in recent
years, the prognosis and survival rates of breast cancer patients remain unsatisfactory. The aberrant
growth and spread of tumor cells are the leading cause of death in these patients. More profound
knowledge of molecular biology underlying breast cancer and a more accurate stratification are still
necessary for more precise therapy. Further understanding of the disease's molecular mechanism and
genetic aberrations may allow for the identification of more accurate prognostic and diagnostic markers
and more effective treatments. Tumor protein D52 (TPD52) is an oncogene whose overexpression
has been found in breast cancer. Overexpression of TPD52 has been linked to specific molecular subtypes
of breast cancer, including luminal B and ERBB2-positive tumors. Besides, non-coding RNAs
(ncRNAs) were found to play a significant role in breast cancer progression. ncRNAs play regulatory
roles in cell behaviors, cancer pathogenesis, radiotherapy, and resistance to chemotherapy. Multiple
ncRNAs could modulate the expression of TPD52 and regulate breast cancer cell proliferation, invasion,
and metastasis. In this review, we summarized the functions of TPD52 in breast cancer cells.
POLITIK IDENTITAS DI INDONESIA: ANTARA NASIONALISME DAN AGAMA
Authors: Lestari Yeni Sri 
Published: January 2024

Demokratisasi yang menjunjung tinggi kebebasan menjadi landasan bagi setiap individu dalam mengaktualisasikan dirinya, termasuk dalam persoalan politik. Kebebasan individu yang dijamin oleh konstitusi di Indonesia mencerminkan tingginya popularitas sistem demokrasi ini. Akan tetapi, kebebasan tersebut pada akhirnya semakin memperjelas jurang pemisah antar identitas (agama, suku, bahasa, jenis kelamin, dll) yang ada di Indonesia, terutama berkaitan dengan persoalan politik bangsa. Persoalan agama dan nasionalis bangsa merupakan dua identitas yang saat ini menjadi perdebatan di Indonesia. Polemik politik identitas semakin meruncing hingga munculnya klaim kebenaran bahwa kelompok kepentingan yang satu lebih baik daripada kelompok kepentingan lainnya, urusan kepentingan ini kemudian mulai memecah belah bangsa yang sebelumnya menjunjung tinggi perbedaan. Artikel ini bertujuan untuk mengetahui realita politik identitas di Indonesia saat ini, berfokus kepada dua kelompok identitas yaitu kelompok agama dan kelompok nasionalis. Metode kualitatif dan kajian literatur digunakan untuk mengkaji persoalan ini. Kajian ini menemukan bahwa perpecahan yang muncul karena pengelompokan politik berdasarkan identitas keagamaan dan nasionalisme ini menyebabkan terganggunya stabilitas negara yang ditandai dengan munculnya krisis kepercayaan terhadap pemerintah, penyebaran berita hoax, persekusi, makar, terbatasnya ruang demokrasi, dll.Â Kata kunci: politik identitas, nasionalis, agama, Indonesia