bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proximate Analysis and Digestibility of Modified Corn Flour
Authors: Sukainah Andi , Lawa Suheldy , Putra Reski Praja , Fadilah Ratnawaty 
Published: August 2023

Abstract:
The quality of corn flour can improve through a modification process. The modification
method that can be done to improve the characteristics of corn flour is through a controlled fermentation process accompanied by pregelatinization. This study aims to determine the effect modification of corn flour by spontaneous fermentation, controlled fermentation using Lactobacillus
fabifermentans or Aspergillus sp culture and mixed culture of L. fabifermentans and Aspergillus sp
(1:3) followed by pregelatinization at 80ºC for 15 minutes. The treatment variables in this study
were spontaneous fermentation, controlled fermentation using single cultures of L. fabifermentans
or Aspergillus sp., and mixed cultures of these microbes with a ratio of 1:3. This study consisted of
4 treatments with three groups each. This research is an experimental study using Randomized
Block Design (RBD). Observation variables in this study were proximates tests (moisture content,
ash, protein, fat, and carbohydrates) and starch digestibility. The data were processed using the
SPSS version 22 program, with the method analysis of variance (ANOVA), and continued with
Duncan’s Multiple Range Test (DMRT). The results of variance analysis from spontaneous fermentation treatments, single culture fermentation of L. fabifermentans or Aspergillus sp, and mixed
cultures of L. fabifermentans and Aspergillus sp (1:3) gave significant effect on moisture content,
fat, carbohydrates, and starch digestibility of modified corn flour. The best-modified corn flour was
obtained by controlled fermentation treatment using L. fabifermentans followed by pregelatinization
with characteristics of moisture content 14.46%, ash 0.13%, protein 7.41%, fat 0.65%, carbohydrates 80.06%, and starch digestibility 87.15%.
Cytoreductive Surgery Plus Hyperthermic Intraperitoneal Chemotherapy
(HIPEC) in Patients with Advanced Ovarian Cancer: A 2-year Survival
Analysis Study
Authors: Farzaneh Farah , Ashtiani Azadeh Jafari , Bohlooli Mehrdad , Hosseini Maryam Sadat 
Published: August 2023

Background:
During the last few years, Cytoreductive Surgery plus Hyperthermic Intraperitoneal
Chemotherapy (HIPEC) has entered the national comprehensive cancer network guidelines as
a new protocol for improving patients’ outcomes. However, there is no consensus on its long-term efficiency,
and it still is under debate.

Objectives:
This study aims to evaluate the effectiveness of Cytoreductive Surgery Plus hyperthermic
intraperitoneal chemotherapy in patients with advanced ovarian cancer in Iran.

Method:
Thirty patients with Stage IIIc and IV advanced ovarian cancer underwent cytoreductive surgery
plus hyperthermic intraperitoneal chemotherapy at Jam Hospital with a fixed surgical team in Tehran,
Iran, from 2019 to 2021. Fourteen patients were new cases, and sixteen of them were recurrent cases.
At the end of cytoreductive surgery, by using a hyperthermic intraperitoneal chemotherapy device, Cisplatin
was circulated in the peritoneal cavity for 90 minutes at a dose of 80-100 mg/ m2 at 43°C.

Results:
Among 30 patients with 54.97±10.74 years of mean age, the mean overall survival was
564.967 days, and 2-year survival rates were 66.7%. According to Fisher's exact test, there was a statistically
significant relationship between disease-free after surgery and mortality rate (p=0.00). However,
there was no statistically significant relationship between recurrence after surgery and mortality
rate (p=0.093).

Conclusion:
Based on these findings, cytoreductive surgery plus hyperthermic intraperitoneal chemotherapy
had a survival rate of 66.7% within two years in advanced ovarian cancer patients. However,
to achieve better results, careful selection of patients and complete cytoreductive surgery should be
performed.
Hibiscus sabdariffa Linn. Extract Increases the mRNA Expression of the
Arcuate Nucleus Leptin Receptor and is Predicted in silico as an Anti-obesity
Agent
Authors: Kartinah Neng Tine , Anggraini Suci , Fadilah Fadilah , Rickie Rickie 
Published: August 2023

Background:
Leptin is predominant in regulating body weight by stimulating energy
expenditure through its neuronal action in the brain. Moreover, it is projected to adipose tissue
and induces adipocyte browning by activating the β3-adrenergic receptor (β3AR). However, the
expression of leptin receptor (Lep-R) and β3AR in people with obesity is downregulated.

Aim:
We hypothesized that Hibiscus sabdariffa Linn. extract (HSE) would increase hypothalamus
arcuate nucleus (ARC) Lep-R and white adipose tissue (WAT) β3AR mRNA expression in DIO
rats. This study also analyzed the potency of H. sabdariffa bioactive compounds as activators of
Lep-R and β3AR by an in-silico experiment

Methods:
Twenty-four male Sprague-Dawley rats were divided into four groups: Control (standard
food), DIO (high-fat diet), DIO-Hib200 (HFD+HSE 200 mg/kg BW), and DIO-Hib400
(HFD+HSE400 mg/kg BW). HSE was administered orally for five weeks, once a day.

Results:
HSE administration significantly (p <0,05) increased the ARC Lep-R expression. The
Lee index significantly decreased to the normal range (≤ 310) with p <0,001 for DIO-Hib200 and
p <0,01 for DIO-Hib400. Among 39 bioactive compounds, 5-O-caffeoyl shikimic acid exhibited
high free binding scores (-8,63) for Lep-R, and myricetin_3_arabinogalactoside had high free
binding scores (-9,39) for β3AR. These binding predictions could activate Lep-R and β3AR.

Conclusion:
This study highlights that HSE could be a potential therapeutic target for obesity by
increasing LepR mRNA and leptin sensitivity, enhancing energy expenditure, and reducing obesity.
Prospective Meta-analysis of Weight Loss Regained and Success Rate of
Argon Plasma Coagulation to Suture and Surgery Procedures Post-bariatric
Surgery: Status of the Art of Endoscopic Treatment
Authors: Zotarelli-Filho Idiberto José , de Quadros Luiz Gustavo , Neto Manoel Galvão , Rajapaksa Samadhi W. , Vidanapathirana Janaki , Filho Durval Ribas , Nogueira-de-Almeida Carlos Alberto 
Published: August 2023

Background:
This study performed a meta-analysis to compare the safety and efficacy
of argon plasma coagulation (APC) concerning suture (SUT) and surgery (SUR).

Methods:
The One-Way tests were applied, with p <0.05 significant. The value of R2 was analyzed
(heterogeneity), and the risk of bias of articles was evaluated.

Results:
A total of 34 studies were found, eight about APC, twenty about SUT, and six about SUR.
For the percentage of Weight Loss Regained (%WLR), the means for APC, SUT, and SUR were
19.39 ± 10.94, 26.06 ± 16.71, and 17.05 ± 9.85, and for success rate (%SR), the means were 89.75
± 16.75, 86.80 ± 11.44, and 76.00 ± 21.57, respectively with p >0.05, with R2 ≥ 50%.

Conclusion:
The APC proved to be efficient and safe like the other techniques.
FBLN5 was Regulated by PRDM9, and Promoted Senescence and
Osteogenic Differentiation of Human Periodontal Ligament Stem Cells
Authors: Zhao Mengyao , Rong Rong , Zhang Chen , Yang Haoqing , Han Xiao , Fan Zhipeng , Zheng Ying , Zhang Jianpeng 
Published: August 2023

Objectives:
Periodontal ligament stem cells (PDLSCs) are ideal seed cells for periodontal tissue
regeneration. Our previous studies have indicated that the histone methyltransferase PRDM9 plays an
important role in human periodontal ligament stem cells (hPDLSCs). Whether FBLN5, which is a downstream
gene of PRDM9, also has a potential impact on hPDLSCs is still unclear.

Methods:
Senescence was assessed using β-galactosidase and Enzyme-linked immunosorbent assay
(ELISA). Osteogenic differentiation potential of hPDLSCs was measured through Alkaline phosphatase
(ALP) activity assay and Alizarin red detection, while gene expression levels were evaluated using western
blot and RT-qPCR analysis.

Results:
FBLN5 overexpression promoted the osteogenic differentiation and senescence of hPDLSCs.
FBLN5 knockdown inhibited the osteogenic differentiation and senescence of hPDLSCs. Knockdown of
PRDM9 decreased the expression of FBLN5 in hPDLSCs and inhibited senescence of hPDLSCs. Additionally,
both FBLN5 and PRDM9 promoted the expression of phosphorylated p38 MAPK, Erk1/2 and
JNK. The p38 MAPK pathway inhibitor SB203580 and the Erk1/2 pathway inhibitor PD98059 have the
same effects on inhibiting the osteogenic differentiation and senescence of hPDLSCs. The JNK pathway
inhibitor SP600125 reduced the senescence of hPDLSCs.

Conclusion:
FBLN5 promoted senescence and osteogenic differentiation of hPDLSCs via activation of
the MAPK signaling pathway. FBLN5 was positively targeted by PRDM9, which also activated the
MAPK signaling pathway.
TumorDet: A Breast Tumor Detection Model Based on Transfer Learning
and ShuffleNet
Authors: Zhang Tao , Pan Leying , Yang Qiang , Yang Guoping , Han Nan , Qiao Shaojie 
Published: August 2023

Background:
Breast tumor is among the most malignant tumors and early detection can improve
patient’s survival rate. Currently, mammography is the most reliable method for diagnosing breast
tumor because of high image resolution. Because of the rapid development of medical and artificial intelligence
techniques, computer-aided diagnosis technology can greatly improve the detection accuracy of
breast tumors and medical imaging has begun to use deep-learning-based approaches. In this study, the
TumorDet model is proposed to detect the benign and malignant lesions of breast tumor, which has positive
significance for assisting doctors in diagnosis.

Objective:
We use the proposed TumorDet to analyze and predict breast tumors on the real MRI dataset.

Methods:
(1) We introduce an adaptive gamma correction (AGC) method to balance brightness equalization
and increase the contrast of mammography images; (2) we use the ShuffleNet model to exchange
information between different feature layers and extract the hidden high-level features of medical images;
and (3) we use the transfer learning method to fine-tune the ShuffleNet model and obtain the optimal
parameters.

Results:
The proposed TumorDet model has shown that accuracy, sensitivity, and specificity reach
90.43%, 89.37%, and 87.81%, respectively. TumorDet performs well in the breast tumor detection task.
In addition, we use the proposed TumorDet to conduct experiments on other tasks, such as forest fires,
and the robustness of TumorDet is proved by experimental results.

Conclusion:
TumorDet employs the ShuffleNet model to exchange information between different feature
layers without increasing the number of network parameters and applies transfer learning method to further
extract the basic features of medical images by fine-tuning. The model is beneficial for the localization
and classification of breast tumors and also performs well in forest fire detection.
Review on Mucormycosis: Pathogenesis, Epidemiology, Microbiology and
Diagnosis
Authors: Sharma Aditya , Alam Md Aftab , Dhoundiyal Shivang , Sharma Pramod Kumar 
Published: August 2023

Abstract:
Mucormycosis is a serious and invasive fungal infection caused by Mucorales fungi. This
review article provides a concise overview of the pathogenesis, epidemiology, microbiology, and diagnosis
of mucormycosis. The introduction section highlights the key microbiological properties of the
pathogen and delves into the underlying mechanisms of mucormycosis pathogenesis, including the
invasion and proliferation of the fungus within the host. The description of the disease section focuses
on the epidemiology of mucormycosis, including its incidence, risk factors, and geographical distribution.
It also explores the specific context of mucormycosis infection about COVID-19 and diabetes
mellitus, highlighting the increased susceptibility observed in individuals with these conditions. A case
study illustrates the clinical manifestations and challenges associated with mucormycosis, emphasizing
the importance of early detection. Additionally, the review discusses the diagnosis of mucormycosis,
emphasizing the significance of clinical assessment, radiological imaging, and microbiological tests for
accurate and timely detection of the infection.

:
Regarding treatment, the article covers the various therapeutic approaches, including antifungal therapy,
surgical interventions, and management of underlying predisposing conditions. The limitations and
challenges associated with treatment options are also addressed. This review aims to provide a comprehensive
understanding of mucormycosis, equipping healthcare professionals with valuable insights
into its pathogenesis, epidemiology, microbiology, and diagnostic strategies. By enhancing knowledge
and awareness of this fungal infection, this review can improve patient outcomes through early diagnosis
and appropriate management.
Antidiabetic Effect of Star Anise (Illicium verum) in Streptozotocin-induced Diabetic Rats
Authors: Amtaghri Smail , Qabouche Adil , Slaoui Miloudia , Eddouks Mohamed 
Published: August 2023

Aim:
The current study aimed to evaluate the antidiabetic potential of Illicium verum
fruits.

Background:
Illicium verum fruits are frequently used by the Moroccan population in the treatment
of diabetes.

Methods:
The antihyperglycemic effect of the aqueous extract of Illicium verum fruits (AEIVF) in
rats was assessed. The effects of AEIVF (20 mg/kg) on glycemia and lipid profile as well as its phytochemical
and antioxidant properties were evaluated.

Results:
In normal and diabetic rats, AEIVF reduced blood glucose levels 6 hours after administration.
Furthermore, after 7 days of treatment, glycemia was lowered in diabetic rats, and this extract
exhibited an antioxidant activity.

Conclusion:
The study shows that Illicium verum possesses a potent antidiabetic activity. In addition,
the toxicity of AEIVF was evaluated and the LD50 value was found to be greater than the 2 g/kg dose.
Investigation of Pancreatic-beta Cells Role in the Biological Process of Ageing
Authors: Chaudhary Rishabh , Khanna Janvi , Rohilla Manni , Gupta Sumeet , Bansal Seema 
Published: August 2023

Background:Cellular senescence is associated with the formation and progression of a range of illnesses, including ageing and metabolic disorders such as diabetes mellitus and pancreatic beta cell dysfunction. Ageing and reduced glucose tolerance are interconnected. Often, Diabetes is becoming more common, which is concerning since it raises the risk of a variety of age-dependent disorders such as cardiovascular disease, cancer, Parkinson's disease, stroke, and Alzheimer's diseaseObjectives:The objectives of this study are to find out the most recent research on how ageing affects the functions of pancreatic beta cells, beta cell mass, beta cell senescence, mitochondrial dysfunction, and hormonal imbalance.Methods:Various research and review manuscripts are gathered from various records such as Google Scholar, PubMed, Mendeley, Scopus, Science Open, the Directory of Open Access Journals, and the Edu-cation Resources Information Centre, using different terms like "Diabetes, cellular senescence, beta cells, ageing, insulin, glucose".Results:In this review, we research novel targets in order to discover new strategies to treat diabetes. Ab-normal glucose homeostasis and type 2 diabetes mellitus in the elderly may aid in the development of novel medicines to delay or prevent diabetes onset, improve quality of life, and, finally, increase life duration.Conclusion:Aging accelerates beta cell senescence by generating premature cell senescence, which is mostly mediated by high glucose levels. Despite higher plasma glucose levels, hepatic gluconeogenesis accelerates and adipose tissue lipolysis rises, resulting in an increase in free fatty acid levels in the blood and worsening insulin resistance throughout the body.
Thyroid Nodules: Emerging Trends in Detection and Visualization based
on Citespace
Authors: Yao Wenyan , Peng Xiujuan , Guan Yunhui , Du Xia , Xia Conglong , Liu Feng 
Published: August 2023

Background:
Thyroid nodule (TN) is a highly prevalent clinical endocrine disease. Many countries have formed guidelines on the prevention and treatment of TN based on extensive research. However, there is a scarcity of TN-related literature based on bibliometrics.

Objectives:
This study aimed to evaluate the scientific achievements and progress of TN research from a global perspective by investigating the literature for 20 years through bibliometrics.

Methods:
We searched the literature on TN in the core collection of the Web of Science database from 2002 to 2021 and used the Citespace software to analyze the co-authorship, co-citation, and co-occurrence of countries, institutions, authors, keywords, and co-cited literature.

Results:
We retrieved 12319 documents related to TN. The literature on TN has been growing since 2002. The United States has contributed the largest proportion of TN papers (20.64%), followed by China, Italy, and South Korea. The United States ranked first in terms of centrality (0.38). Haugen BR, Gharib H, and Cibas ES are the top three most cited authors. The papers published in Thyroid were cited most frequently (7952 times). The most prominent keywords were management, cancer, fi-ne needle aspiration, diagnosis, malignant tumor, thyroid cancer, ultrasound, biopsy, benign, surgery, ablation, and cytology. All keywords could be divided into three categories: diagnosis stratification, treatment, and cancer. As far as potential hot spots are concerned, the keywords that have recently burst strongly and are still continuing are: "Association Guideline" (2018-2021), "Radiofrequency Ab-lation" (2017-2021), "Classification" (2019-2021), and "Data System" (2017-2021).

Conclusion:
Based on the current trends, the number of publications on TN will continue to in-crease. The United States is the most active contributor to research in this field. Previous literature focused on stratification, cancer, surgery, and ablation, and there were different opinions on the stratification of diagnosis. There were relatively few studies on pathogenesis and treatment using medicine. More focus will be placed on association guidelines, radiofrequency ablation, classifica-tion, and data system, which may be the next popular topics in TN research.
Nano - Based Therapeutic Strategies in Management of Rheumatoid
Arthritis
Authors: Nautiyal Gunjan , Sharma Shiv Kant , Kaushik Dhirender , Pandey Parijat 
Published: August 2023

Background:
Rheumatoid arthritis (RA) is a chronic autoimmune disease, progressively distinctive
via cartilage destruction, auto-antibody production, severe joint pain, and synovial inflammation.
Nanotechnology represents as one of the utmost promising scientific technologies of the 21st century.
It exhibits remarkable potential in the field of medicine, including imaging techniques and diagnostic
tools, drug delivery systems and providing advances in treatment of several diseases with nanosized
structures (less than 100 nm).

Objective:
Conventional drugs as a cornerstone of RA management including disease-modifying antirheumatic
drugs (DMARDS), Glucocorticosteroids, etc are under clinical practice. Nevertheless, their
low solubility profile, poor pharmacokinetics behaviour, and non-targeted distribution not only hamper
their effectiveness, but also give rise to severe adverse effects which leads to the need for the emergence
of nanoscale drug delivery systems.

Method:
Several types of nano-diagnostic agents and nanocarriers have been identified; including polymeric
nanoparticles (NPs), liposomes, nanogels, metallic NPs, nanofibres, carbon nanotubes, nano
fullerene etc. Various patents and clinical trial data have been reported in relevance to RA treatment.

Result:
Nanocarriers, unlike standard medications, encapsulate molecules with high drug loading efficacy
and avoid drug leakage and burst release before reaching the inflamed sites. Because of its enhanced
targeting specificity with the ability to solubilise hydrophobic drugs, it acts as an enhanced drug
delivery system.

Conclusion:
This study explores nanoparticles potential role in RA as a carrier for site-specific delivery
and its promising strategies to overcome the drawbacks. Hence, it concludes that nanomedicine is advantageous
compared with conventional therapy to enhanced futuristic approach.
Prediction of Deleterious Non-Synonymous Single Nucleotide Polymorphism
of Cathelicidin
Authors: Subbiah Usha , Ajith Athira , Subbiah Harini Venkata 
Published: August 2023

Background:
Cathelicidin, a human host defense peptide, plays a salubrious role
in innate host defense against human pathogens. Despite the extensive studies on the antimicrobial
function of Cathelicidin, there is a lack of information on this peptide's deleterious
single nucleotide polymorphisms (SNPs) that potentially alter the disease susceptibility
and hence the current study.

Objective:
To predict Cathelicidin's structural and functional deleterious non-synonymous
single nucleotide polymorphisms.

Methods:
The non-synonymous SNPs of Cathelicidin were investigated using computational
prediction tools like SIFT, Polyphen, PROVEAN, MusiteDeep, I-Mutant, and STRING.

Results:
The present study predicted 23 potentially harmful nsSNP of Cathelicidin. Among
these, 14 were highly conserved, 8 were average conserved, and 1 alone was variable. Phosphorylation
was observed in serine and threonine residues using post-translational modification.
Further mutation 3D predicted 11 clustered and 13 covered mutations in cathelicidin
variants. The structural distribution of high-risk nsSNPs predicted 80 alpha helixes, 0 random
coils, 19 extended strands, and 4 beta turns. Among 23 predicted deleterious SNPs, 9
nsSNPs alone showed mutation effect based on the HOPE structural and functional analysis.
The direct functional interaction pattern of Cathelicidin with other proteins, FPR2, PRTN3,
TLR9, IGF1R, and JUN, was observed.

Conclusion:
The identified deleterious nsSNPs could help understand the mutation effect of
Cathelicidin in disease susceptibility and drug discovery.
Role of Genetics and Surgical Interventions for the Management of Cerebral
Cavernous Malformations (CMM)
Authors: Patel Anjali , Valle Daisy , Nguyen Andrew , Molina Eduardo , Lucke-Wold Brandon 
Published: August 2023

Abstract:
Cerebral cavernous malformations (CCMs) are comprised of tissue matter within the
brain possessing anomalous vascular architecture. In totality, the dilated appearance of the cavernoma
takes on a mulberry-like shape contributed by the shape and relation to vascular and capillary
elements. Analyzing its pathophysiology along with its molecular and genetic pathways plays
a vital role in whether or not a patient receives GKRS, medical management, or Surgery, the most
invasive of procedures. To avoid neurological trauma, microsurgical resection of cavernomas can be
guided by the novel clinical application of a 3D Slicer with Sina/MosoCam. When cavernomas
present in deep lesions with poor accessibility, gamma knife stereotactic radiosurgery (GKSR) is
recommended. For asymptomatic and non-multilobal lesions, medical and symptom management
is deemed standard, such as antiepileptic therapy. The two-hit hypothesis serves to explain the mutations
in three key genes that are most pertinent to the progression of cavernomas: CCM1/KRIT1,
CCM2/Malcavernin, and CCM3/PDCD10. Various exon deletions and frameshift mutations can
cause dysfunction in vascular structure through loss and gain of function mutations. MEKK3 and
KLF2/4 are involved in a protein kinase signaling cycle that promotes abnormal angiogenesis and
cavernoma formation. In terms of potential treatments, RhoKinase inhibitors have shown to decrease
endothelial to mesenchymal transition and CCM lesion development in mice models. All in
all, understanding the research behind the molecular genetics in CCMs can foster personalized
medicine and potentially create new neurosurgical and medicative treatments.