bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the Specificities of the Arion Mosaic in the Villa del Casale (Piazza Armerina): Contribution to the Study of Arion Representations in Ancient Art
Authors: Gavrilović Anđela 
Published: January 2024

The paper deals with the representation of Arion on the monumental floor mosaic in one of the most representative rooms of the Roman Villa del Casale in Sicily, dating from the beginning of the 4th century (fig. 1, 2). It is special in many respects. It is the most monumental and magnificent representation of Arion in ancient art. Arion is depicted in the central part of а complex mosaic consisting of many scenes, figures and motifs. He is sitting on a dolphin and playing music on his instrument. The dolphin motif in this scene is unique and not examined in the literature, leaving much room for research. To our knowledge, it is a unique example of a dolphin ridden by Arion, shown hunting its prey, which is certainly not a coincidence or a descriptive detail of the artist, but a reflection of his knowledge and the clear intention of the patrons of the mosaic. On the contrary, this detail subtly explains the meaning of the entire mosaic illustrating the story of Arion and the reasons for his appearance. It suggests that the owners of the villa either belonged to the highest Roman aristocracy of their time, or perhaps were even related to the imperial family. By examining the history of the specific dolphin motif it is shown that this detail bears the symbolism of victory, thus, corresponding to the meaning of the Arion mosaic and other mosaics in Villa del Casale.
Profile and pattern of histology specimen of thyroidectomy patients operated in Mankweng hospital, Limpopo province, South Africa
Authors: Bhuiyan Mirza M. Z. U. 
Published: January 2024

Object of study: To evaluate the histopathologic pattern of the thyroidectomy specimen in patients with goitre who underwent thyroidectomy operation at Mankweng Hospital and to review the profile of thyroid disease in relation to the age, gender & Distribution of thyroid disease which are referred to Mankweng hospital from the districts of Limpopo Province.
The problem to be solved: The demographic profile of thyroidectomy patients in this hospital is identified. Hence outreach program can be initiated according to demographic profile.
Main scientific results: Total of 62 patients analyzed: Male 2, female 60. Age range 15-70: District: Capricorn 23, Sekhukhune 33, Mopani 6. Histology: 62: Multinodular goitre 47, Papillary carcinoma 5: Hurtle cell carcinoma 3, colloid goitre 2, Diffuse colloid goitre 1, Cavernous haemangioma 1, follicular neoplasm 1, Hashimoto`s Thyroiditis 1, benign thyroid parenchyma with cyst 1
The area of practical use of research results: General surgery department in Regional & Tertiary hospital
An innovative technological product: Patient demographic profile for health outreach program.
Scope of application of an innovative technological product: General surgery department.
Bioengineering research on sesame anti-alimentary factors inactivation for confectionery industry
Authors: Tytarenko Mykhailo , Krychkovska Lidiia , Masalitin Oleksii , Varankin Volodymyr , Stankevych Serhii , Belinska Anna , Zabrodina Inna , Horiainova Viktoriia , Zhukova Liubov , Haliasnyi Ivan 
Published: January 2024

The object of research. The process of inactivation of inhibitors of proteolytic enzymes of sesame seeds for use in the confectionery industry.
Investigated problem. The use of sesame seeds in the confectionery industry is very popular, as it adds a unique taste and texture to products. However, inhibitors of seed proteolytic enzymes can limit the absorption of nutrients such as proteins. This can be a problem in terms of nutritional value and efficient use of sesame seeds in the food industry. Inactivation of inhibitors of proteolytic enzymes in sesame seeds will contribute to the stability and uniformity of the quality of raw materials, which is an important aspect in the confectionery industry. This allows enterprises to ensure high sustainable quality of products containing sesame seeds and competitive advantages of such products.
The main scientific results. The features of the inactivation of anti-alimentary factors of sesame were studied, namely the influence of the initial humidity and the time of treatment with ultra high frequency (UHF) radiation on the inactivation degree of inhibitors of proteolytic enzymes of the seeds. Rational conditions for pre-treatment of sesame seeds for inactivation of anti-alimentary factors were established: moisture to 10–13 %, treatment time with UHF radiation 220–240 s. The peculiarities of the use of crushed sesame seeds with an inactivated anti-alimentary complex in the technology of high-nutrition chocolate pastes were studied. Organoleptic evaluation of test samples with different content of sesame seeds was carried out, during which the products were evaluated according to their appearance, uniformity, plasticity, color, taste and aroma. The effect of the content of crushed sesame seeds with an inactivated anti-alimentary complex on the consumer properties of chocolate pastes was determined.
The area of practical use of research results. Taking into account the results of the research can contribute not only to the improvement of technological processes in confectionery production, but also to the development of new products that meet the modern requirements of consumers.
Innovative technological product. As a result of research, an innovative food product was created, which is an innovative approach to the use of sesame seeds in the technology of chocolate pastes with increased nutritional value.
Scope of the innovative technological product. The developed innovative technological product can be implemented in food technology. In particular, the use of sesame seeds with an inactivated anti-alimentary complex in the production of chocolate pastes should become an additional advantage for manufacturers in the market, especially in the context of increased demand for health food products.
Study of the adsorption ability of natural components and their influence on product quality
Authors: Tlevlessova Dinara , Alimardanova Mariam , Bakiyeva Venera , Altayeva Balgyn 
Published: January 2024

Object of research: The object of this research is the process of integrating enterosorbents, such as rice bran, pear pomace extracts, activated charcoal from rice bran, and pumpkin peel powder, into yogurt with the aim of enhancing the body's ability to eliminate heavy metals.
Investigated problem: The main problem addressed in this research is not only identifying the prospects of integrating enterosorbents into yogurt but also developing methods and approaches for the implementation of this process. Various techniques for optimal incorporation of enterosorbents are considered to create functional products that contribute to detoxifying the body.
The main scientific results: Identification of the potential and methodology for incorporating enterosorbents into yoghurt to enhance the body's ability to eliminate heavy metals.
Exploring the prospects and various methods of incorporating enterosorbents, opening up opportunities for the development of functional products that promote detoxification. Evaluating the potential use of rice husk, dried pear squeeze powder, activated charcoal and pumpkin peel powder as natural enterosorbents. These results demonstrate the significance of the study in addressing health and environmental issues, emphasizing the potential of natural ingredients to create functional and environmentally friendly products.
Practical use of research results: The practical application of the research results lies in the field of food innovations. They provide a response to current challenges related to the level of heavy metals in the environment. The practical domain includes the development of functional products promoting detoxification using natural components.
Innovative technological product: The innovative technological product proposed as a result of the research is a novel method for producing yogurts with integrated enterosorbents. This approach offers an opportunity to enhance the removal of heavy metals from the body through innovative products.
Scope of the innovative technological product: The new technological product, specifically yogurts with enterosorbents, extends its application to clinical practice and the functional food sector. It not only contributes to health improvement but also addresses challenges of heavy metal contamination, aligning with principles of sustainable consumption.
A Novel Phytocolorant, Neoxanthin, as a Potent Chemopreventive:
Current Progress and Future Prospects
Authors: Parida Sudhamayee , Jena Mrutyunjay , Behera Akshaya Kumar , Mandal Amiya Kumar , Nayak Rabindra , Patra Srimanta 
Published: January 2024

:
Cancer is a general term for a group of similar diseases. It is a combined process
that results from an accumulation of abnormalities at different biological levels,
which involves changes at both genetic and biochemical levels in the cells. Several modifiable
risk factors for each type of cancer include heredity, age, and institutional screening
guidelines, including colonoscopy, mammograms, prostate-specific antigen testing,
etc., which an individual cannot modify. Although a wide range of resources is available
for cancer drugs and developmental studies, the cases are supposed to increase by about
70% in the next two decades due to environmental factors commonly driven by the way
of living. The drugs used in cancer prevention are not entirely safe, have potential side
effects and are generally unsuitable owing to substantial monetary costs. Interventions
during the initiation and progression of cancer can prevent, diminish, or stop the transformation
of healthy cells on the way to malignancy. Diet modifications are one of the
most promising lifestyle changes that can decrease the threat of cancer development by
nearly 40%. Neoxanthin is a xanthophyll pigment found in many microalgae and
macroalgae, having significant anti-cancer, antioxidant and chemo-preventive activity.
In this review, we have focused on the anti-cancer activity of neoxanthin on different
cell lines and its cancer-preventive activity concerning obesity and oxidative stress. In
addition to this, the preclinical studies and future perspectives are also discussed in this
review.
Bile Acid-conjugate as a Promising Anticancer Agent: Recent Progress
Authors: Rathod Neha V. , Mishra Satyendra 
Published: January 2024

Abstract:
Bile acids have outstanding chemistry due to their amphiphilic nature and have
received a lot of interest in the last few decades in the fields of biomedicine, pharmacology,
and supramolecular applications. Bile acids are highly sought after by scientists looking
for diverse and effective biological activity due to their chirality, rigidity, and hydroxyl
group. The hydroxyl group makes it simple to alter the structure in a way that improves
bioactivity and bioavailability. Bile acid-bioactive molecule conjugates are compounds in
which a bile acid is linked to a bioactive molecule by a linker in order to increase the bioactivity
of the bioactive molecule against the target cancer cells. This method has been
used to improve the therapeutic efficacy of cytotoxic drugs while reducing their adverse
side effects. These new bile acid conjugates are gaining attention because they overcome
bioavailability and stability issues. The design, synthesis, and anticancer effectiveness of
various bile acid conjugates are discussed together with recent advances in understanding
in this review.
Single-cell RNA Sequencing Analysis Reveals the Role of Cancerassociated Fibroblasts in Skin Melanoma
Authors: Lian Wenqin , Xiang Pan , Ye Chunjiang , Xiong Jian 
Published: January 2024

Aims:
Mechanism of fibroblasts in skin melanoma (SKME) revealed by single-cell
RNA sequencing data.

Background:
SKME is responsible for more than 80% of skin-related cancer deaths. Cancer-associated
fibroblasts (CAFs) generate inflammatory factors, growth factors and extracellular matrix
proteins to facilitate cancer cell growth, metastasis, drug resistance and immune exclusion. However,
molecular mechanisms of CAFs in SKME are still lacking.

Objective:
Our goal was to reveal the role of CAFs in SKME.

Methods:
We downloaded the single-cell RNA sequencing (scRNA-seq) dataset from the Gene
Expression Omnibus (GSE215120) database. Then, the Seurat package was applied to analyze the
single-cell atlas of SKME data, and cell subsets were annotated with the CellMarker database.
The molecular mechanisms of CAFs in SKME were disclosed via differential gene expression and
enrichment analysis, Cellchat and SCENIC methods.

Results:
Using scRNA-seq data, three SKME cases were used and downscaled and clustered to
identify 11 cell subgroups and 5 CAF subsets. The enrichment of highly expressed genes among
the 5 CAF subsets suggests that cell migration-inducing hyaluronan-binding protein (CEMIP) + fibroblasts
and naked cuticle homolog 1 (NKD1) + fibroblasts were closely associated with epithelial
to mesenchymal transition. Cellchat analysis revealed that CAF subpopulations promoted melanocyte
proliferation through Jagged1 (JAG1)-Notch homolog 1 (NOTCH1), JAG1-NOTCH3
and migration through pleiotrophin (PTN)-syndecan-3 (SDC3) receptor-ligand pairs. The
SCENIC analysis identified that most of the transcription factors in each CAF subpopulation
played a certain role in the metastasis of melanoma and were highly expressed in metastatic
SKME samples. Specifically, we observed that CEMIP+ fibroblasts and NKD1+ fibroblasts had potential
roles in participating in immune therapy resistance. Collectively, we uncovered a single--
cell atlas of SKME and revealed the molecular mechanisms of CAFs in SKME development, providing
a base for immune therapy and prognosis assessment.

Conclusion:
Our study reveals that 5 CAFs in SKME have a promoting effect on melanocyte proliferation
and metastasis. More importantly, CEMIP+ fibroblasts and NKD1+ fibroblasts displayed
close connections with immune therapy resistance. These findings help provide a good basis for future
immune therapy and prognosis assessment targeting CAFs in SKME.
Integrating Single-cell and Bulk RNA-seq to Construct a Metastasis-related Model for Evaluating Immunotherapy and Chemotherapy in Uveal Melanoma
Authors: Du Yue , Jiang Xue , Zhang Yanyan , Ying Jianing , Yi Quanyong 
Published: January 2024

Background:
Metastasis is a major cause of death in UM, highlighting the
need to use highly specific and sensitive prognostic markers to identify patients with a
risk of developing metastasis.

Aims:
The aim of this study was to improve the current precision treatment for patients
with metastatic uveal melanoma (UM).

Objective:
The objective of this work was to investigate the heterogeneity between primary
human UM and metastatic UM at the single-cell level and to discover potential
molecules regulating UM metastasis.

Methods:
Seurat R toolkit was employed to analyze single-cell sequencing data of UM
and to identify differentially expressed genes (DEGs) between primary and metastatic
UM. Least absolute shrinkage and selection operator (LASSO) and Cox regression analyses
were performed on the DEGs from the bulk RNA-seq cohort to develop a prognostic
model. Based on the model, patients were divided into high and low groups. The correlations
among the risk score, immune indicators, immune checkpoint blockade (ICB)
therapy, and anti-tumor drug therapy were analyzed.

Results:
Cell types in primary UM and metastatic UM tumors include B/plasma cells,
endothelial cells, melanocytes, monocytes/macrophages, photoreceptor cells, and T
cells. Among 157 DEGs between the two tumor types, S100A4, PDE4B, CHCHD10,
NSG1, and C4orf48 were selected to construct a prognostic model. The model could accurately
and independently predict response to ICB treatment and sensitivity to antineoplastic
drugs for UM patients as well as their immune infiltration levels, risk of death,
and metastasis possibility.

Conclusions:
This study analyzed the tumor ecosystem of primary and metastatic UM,
providing a metastasis-related model that could be used to evaluate the prognosis, risk
of metastasis, immunotherapy, and efficacy of antineoplastic drug treatment of UM.
New Emerging Aspect of Herbal Extracts for the Treatment of
Osteoporosis: Overview
Authors: Kumari Priyanka , Shirumalla Raj K. , Bhalla Vijay , Alam Md Sabir 
Published: January 2024

Abstract:
As the global population ages, osteoporosis is becoming a more common silent disease.
Osteoporosis is characterized by decreased bone quality and strength, which increases the risk of
fragility fractures in the elderly. According to estimates, 50% of women eventually suffer from an
osteoporotic fracture. Due to increasing disability, more frequent hospital hospitalizations, and
most critically, fragility fractures have been linked to a reduced quality of life. Osteoporotic fractures
have been linked to an increased mortality risk; and must be considered in awareness as a serious
health concern. There are anti-osteoporotic medications available that improve bone quality.
Considering the availability of various treatment options, still there are a lot of underserved needs
in the treatment of fractures and osteoporosis. For example, the application of natural products
and herbal resources for fracture healing, because of the androgen-like and antioxidant characteristics
of the plants, they can play a crucial for accelerating the repair of bone fractures. In this article,
we’ll discuss the herbal remedies that are essential for treating osteoporosis (bone disease).
Stem Cells Reprogramming in Diabetes Mellitus and Diabetic Complications: Recent Advances
Authors: Madkor Hafez R. , Abd El-Aziz Mostafa K. , Abd El-Maksoud Mostafa S. , Ibrahim Islam M. , Ali Fares E.M. 
Published: January 2024

Background:
The incidence of diabetes mellitus (DM) is dramatically increasing
worldwide, and it is expected to affect 700 million cases by 2045. Diabetes influences health care
economics, human quality of life, morbidity, and mortality, which were primarily seen extensively in developing countries. Uncontrolled DM, which results in consistent hyperglycemia, may
lead to severe life-threatening complications such as nephropathy, retinopathy, neuropathy, and
cardiovascular complications.

Methodology:
In addition to traditional therapies with insulin and oral anti-diabetics, researchers
have developed new approaches for treatment, including stem cell (SC) therapy, which exhibits
promising outcomes. Besides its significant role in treating type one DM (T1DM) and type two
DM (T2DM), it can also attenuate diabetic complications. Furthermore, the development of insulin-producing cells can be achieved by using the different types of SCs, such as embryonic stem
cells (ESCs), induced pluripotent stem cells (iPSCs), and multiple types of adult stem cells, such
as pancreatic, hepatic, and mesenchymal stem cells (MSC). All these types have been extensively
studied and proved their ability to develop insulin-producing cells, but every type has limitations.

Conclusion:
This review aims to enlighten researchers about recent advances in stem cell research and their potential benefits in DM and diabetic complications.
Preoperative T-staging of Colorectal Cancer by Dual-energy Computed
Tomography: A Retrospective Study
Authors: Qin Mi , Liu Manrong , Huang Ruisui , Gong Mofeng , Huang Haibo , Wei Xue , Wei Haotang , Lu Wei , Ding Ke 
Published: January 2024

Background::
Preoperative T-staging is essential for planning optimal treatment and care for colorectal cancer (CRC).

Objective::
To evaluate the accuracy of Dual-energy CT (DECT) in preoperative T-staging of CRC.

Methods::
The clinical data and DECT images of 37 patients with 39 CRC lesions were retrospectively analyzed. The performance of the DECT quantitative
parameters in CRC T-staging was evaluated. Postoperative pathologic results were used as a gold standard. Receiver operating characteristic
curves were used to assess the diagnostic efficacy of DECT parameters. P & 0.05 was deemed significant.

Results::
The overall accuracy of T-staging by DECT was 76.9%. The DECT parameters were significantly different between the T3 pericolic fat stranding,
T4a pericolic fat stranding, and normal pericolic fat stranding. Arterial phase λHU had the best diagnostic performance with a cut-off value of
≥0.967, resulting in a 70.6% sensitivity and a 100% specificity in differentiating between T3 and T4a stages of CRC.

Conclusion::
DECT has high accuracy in the T-staging of CRC. Arterial phase λHU has the best diagnostic performance in differentiating between T3 and T4a
stages of CRC.
A Survey on Beamspace Millimeter-wave Massive Mimo Systems: An
Overview of Open Issues, Challenges, and Future Research Trends
Authors: Jayakumar Roscia Jeya Shiney , Arul Allwyn Clarence Asis 
Published: January 2024

Abstract:
The channel sparsity is exploited by transforming the channel into an angular domain from
the spatial domain at millimeter wave frequencies in Beamspace Multiple-Input Multiple-Output
(B-MIMO) systems. Every beam in B-MIMO corresponds to an individual radio frequency (RF)
chain, and thus, beam selection techniques can reduce the RF hardware complexity. RF chain limitation
is needed for an ideal beamspace precoding scheme to attain good system performance across
the entire bandwidth. New methods of beamspace channel estimation with a small amount of estimation
error and low computational complexity are challenging in the beam domain due to the larger
antenna arrays deployed. A novel beamspace processing technique to improve the direction of arrival
estimation performance for different array configurations with improvement in system performance
is desired in a 5G system. A detailed review of the B-MIMO system with its architecture and various
beam selection techniques is presented in this paper. The scope of the work is elaborated by incorporating
various existing beamspace precoding and channel estimation methods. The paper also presents
various beamspace processing schemes for parameter estimation with a focus on the direction
of arrival estimation performance.
Optimized Multi-objective Clustering using Fuzzy Based Genetic
Algorithm for Lifetime Maximization of WSN
Authors: Pandey Shivendra Kumar , Singh Buddha 
Published: January 2024

Background:
Wireless Sensor Networks (WSNs) have gained significant attention
due to their diverse applications, including border area security, earthquake detection, and fire
detection. WSNs utilize compact sensors to detect environmental events and transmit data to a
Base Station (BS) for analysis. Energy consumption during data transmission is a critical issue,
which has led to the exploration of additional energy-saving techniques, such as clustering.

Objective:
The primary objective is to propose an algorithm that selects optimal Cluster Heads
(CHs) through a fuzzy-based genetic approach. This algorithm aims to address energy consumption concerns, enhance load balancing, and improve routing efficiency within WSNs.

Methods:
The proposed algorithm employs a fuzzy-based genetic approach to optimize the selection of CHs for data transmission. Four key parameters are considered: the average remaining energy of CHs, the average distance between CHs and the BS, the average distance between member nodes and CHs, and the standard deviation of the distance between member
nodes and CHs.

Results:
The algorithm's effectiveness is demonstrated through simulation results. When compared to popular models like LEACH, MOEES, and FEEC, it demonstrates an 8-20% improvement in the lifetime of WSNs. The proposed approach achieves enhanced efficiency, lifetime extension, and improved performance in CH selection, load balancing, and routing.

Conclusion:
In conclusion, this study introduces a novel algorithm that utilizes fuzzy-based
genetic techniques to optimize CH selection in WSNs. By considering four key parameters and
addressing energy consumption challenges, the proposed algorithm offers significant improvements in efficiency, lifespan, and overall network performance, as validated through simulation results.