bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthetic Curcumin Analogs in the Treatment of Cancer: A Literature Review
Authors: Mardaneh Pegah , Lavian Salime , Bagherniya Mohammad , Roufogalis Basil , Sahebkar Amirhossein 
Published: January 2024

Abstract:
Treatment of cancer, one of the most fatal diseases in the present century, has
become a topic of global concern. Unfavorable unintentional effects of chemotherapy and
radiation treatments have been the main reasons for the research on the discovery of drugs
with a broader spectrum of effectiveness and efficiency, with minimal side effects. Curcumin
(diferuloylmethane) is a naturally occurring phenolic structure with anticancer
properties through its inhibition of cell multiplication, metastasis, and prolongation of cell
cycle suppression of apoptosis in various tumor cells. The primary restriction regarding
the use of curcumin in cancer treatment is related to poor bioavailability and unfavorable
pharmacokinetic profiles of curcumin due to its poor absorption rate, fast metabolism, and
systemic elimination. A variety of ways have been proposed to overcome these limitations.
With this background, the present study focuses on providing a comprehensive
overview of the anticancer properties of curcumin derivatives and the synthesis of curcumin
analogs with application to different types of cancers. The regulation of various target
and signaling pathways is considered in various cancers, including breast, gastrointestinal,
pancreatic, prostate, skin, and lung cancers. A review of the literature indicates that modifying
the structure of curcumin through the substitution of the phenyl group and unsaturated
carbon branch around the two main sites of oxygen can result in the improvement of
physical and chemical properties, as well as the enhancement of physiological activities of
the curcumin molecule and the anti-cancer activities of this polyphenol. Curcumin analogs
demonstrate anticancer properties at multiple targets at different cell stages and by various
signaling biochemical pathways. These include cytokines, transcription factors, growth
factors, and modulation of genes involved in cellular proliferation and apoptosis in breast,
gastrointestinal, skin, prostate, and lung cancers, thereby mitigating tumor progression.
Current Development of Data Resources and Bioinformatics Tools for
Anticoronavirus Peptide
Authors: Li Bowen , Li Min , Lu Chunying , Wu Yifei , Chen Heng , He Bifang 
Published: January 2024

Background:
Since December 2019, the emergence of severe acute respiratory
syndrome coronavirus 2, which gave rise to coronavirus disease 2019 (COVID-19),
has considerably impacted global health. The identification of effective anticoronavirus
peptides (ACVPs) and the establishment of robust data storage methods are critical in
the fight against COVID-19. Traditional wet-lab peptide discovery approaches are timeconsuming
and labor-intensive. With advancements in computer technology and bioinformatics,
machine learning has gained prominence in the extraction of functional peptides
from extensive datasets.

Methods:
In this study, we comprehensively review data resources and predictors related
to ACVPs published over the past two decades. In addition, we analyze the influence
of various factors on model performance.

Results:
We have reviewed nine ACVP-containing databases, which integrate detailed
information on protein fragments effective against coronaviruses, providing crucial references
for the development of antiviral drugs and vaccines. Additionally, we have assessed
15 peptide predictors for antiviral or specifically anticoronavirus activity. These
predictors employ computational models to swiftly screen potential antiviral candidates,
offering an efficient pathway for drug development.

Conclusion:
Our study provides conclusive results and insights into the performance of
different computational methods, and sheds light on the future trajectory of bioinformatics
tools for ACVPs. This work offers a representative overview of contributions to the
field, with an emphasis on the crucial role of ACVPs in combating COVID-19.
The Astonishing Accomplishment of Biological Drug Delivery using Lipid
Nanoparticles: An Ubiquitous Review
Authors: Kapoor Devesh , Chilkapalli Shirisha C. , Prajapati Bhupendra G. , Rodriques Paul , Patel Ravish , Singh Sudarshan , Bhattacharya Sankha 
Published: January 2024

:
Biotech drugs, including proteins, hormones, enzymes, DNA/RNA therapies, and
cell-based treatments, are gaining popularity due to their effectiveness. However, effective delivery
systems are needed to overcome administration challenges. Lipid nanoparticles (LNPs)
have emerged as promising carriers for various therapies. LNPs are biocompatible, less likely to
cause adverse reactions, and can stabilize delicate biological drugs, enhancing their stability and
solubility. Scalable and cost-effective manufacturing processes make LNPs suitable for largescale
production. Despite recent research efforts, challenges in stability, toxicity, and regulatory
concerns have limited the commercial availability of LNP-based products. This review explores
the applications, administration routes, challenges, and future directions of LNPs in delivering
biopharmaceuticals.
Bioactivities and Structure-Activity Relationships of Usnic Acid
Derivatives: A Review
Authors: Nie Wen-Zhe , Shen Qing-Kun , Quan Zhe-Shan , Guo Hong-Yan , Li Ya-Mei 
Published: January 2024

Abstract:
Usnic acid has a variety of biological activities, and has been widely studied in the fields
of antibacterial, immune stimulation, antiviral, antifungal, anti-inflammatory and antiparasitic.
Based on this, usnic acid is used as the lead compound for structural modification. In order to enhance
the biological activity and solubility of usnic acid, scholars have carried out a large number of
structural modifications, and found some usnic acid derivatives to be of more potential research value.
In this paper, the structural modification, biological activity and structure-activity relationship of
usnic acid were reviewed to provide reference for the development of usnic acid derivatives.
Immunologic Crosstalk of Endoplasmic Reticulum Stress Signaling in
Bladder Cancer
Authors: Wan Shun , Li Kun-Peng , Wang Chen-Yang , Yang Jian-Wei , Chen Si-Yu , Wang Hua-Bin , Li Xiao-Ran , Yang Li 
Published: January 2024

Abstract:
Bladder cancer (BC) is a common malignant tumor of the urinary system. While current
approaches involving adjuvant chemotherapy, radiotherapy, and immunotherapy have shown
significant progress in BC treatment, challenges, such as recurrence and drug resistance, persist,
especially in the case of muscle-invasive bladder cancer (MIBC). It is mainly due to the lack of
pre-existing immune response cells in the tumor immune microenvironment. Micro-environmental
changes (such as hypoxia and under-nutrition) can cause the aggregation of unfolded and misfolded
proteins in the lumen, which induces endoplasmic reticulum (ER) stress. ER stress and its
downstream signaling pathways are closely related to immunogenicity and tumor drug resistance.
ER stress plays a pivotal role in a spectrum of processes within immune cells and the progression
of BC cells, encompassing cell proliferation, autophagy, apoptosis, and resistance to therapies. Recent
studies have increasingly recognized the potential of natural compounds to exhibit anti-BC
properties through ER stress induction. Still, the efficacy of these natural compounds remains less
than that of immune checkpoint inhibitors (ICIs). Currently, the ER stress-mediated immunogenic
cell death (ICD) pathway is more encouraging, which can enhance ICI responses by mediating immune
stemness. This article provides an overview of the recent developments in understanding
how ER stress influences tumor immunity and its implications for BC. Targeting this pathway
may soon emerge as a compelling therapeutic strategy for BC.
Hidradenoma Papilliferum of Vulva Simulating Vulval Carcinoma: A Case Report
Authors: Kumar Naina , Pradeep Immanuel , Mangla Mishu , Roy Subhrajyoti 
Published: January 2024

Purpose:
Vulval Hidradenoma papilliferum is a rare benign tumor originating from apocrine
sweat glands. They present as a solid solitary nodule of 1-2 cm on the inner margin of labia majora.
Since they are not commonly encountered, their diagnosis is usually difficult and puzzles with
other conditions such as benign and malignant lesions of the skin, vulva, and perineum. The present
case report highlights one such case of vulval Hidradenoma papilliferum in a postmenopausal woman
diagnosed after a histopathological examination of an excised lesion.

Case Presentation:
A 55-year-old P2L2 postmenopausal woman presented to the Gynecology outpatient
department complaining of itching over the vulval region for 3-4 months. There was no associated
bleeding or discharge per vaginum. On local examination, a single nodular, hypopigmented,
non-tender, ulcerative lesion was seen over the right labia majora of size 1x2 cm. It was solid in consistency.
The lesion was excised and sent for histopathological examination, which revealed a wellcircumscribed
subepithelial tumor composed of delicate, complex branching papillae and glandular
elements lined by columnar epithelial secretory cells and myoepithelial cells suggestive of hidradenoma
papilliferum.

Major Findings:
The diagnosis of hidradenoma papilliferum is usually made on surgical excision
and histopathological evaluation of lesions. Hidradenoma papilliferum is difficult to diagnose clinically
as it mimics other benign and malignant gynecological and cutaneous diseases.

Conclusion:
Hence, hidradenoma papilliferum should be kept as a differential in diagnosing women
with solitary asymptomatic nodules in the anogenital region.
MicroRNAs Targeting Critical Molecular Pathways in Diabetic Cardiomyopathy Emerging Valuable for Therapy
Authors: Mathur Priyanka , Saxena Sharad , Saxena Bhawna , Rani Vibha 
Published: January 2024

:
MicroRNAs have emerged as an important regulator of post-transcriptional gene expression
studied extensively in many cancers, fetal development, and cardiovascular diseases.
Their endogenous nature and easy manipulation have made them potential diagnostic and therapeutic
molecules. Diseases with complex pathophysiology such as Diabetic Cardiomyopathy
display symptoms at a late stage when the risk of heart failure has become very high. Therefore,
the utilization of microRNAs as a tool to study pathophysiology and device-sustainable treatments
for DCM could be considered. The present review focuses on the mechanistic insights of
diabetic cardiomyopathy and the potential role of microRNAs.
KEANEKARAGAMAN EKTOPARASIT DAN PENGARUHNYA TERHADAP PRODUKTIVITAS TELUR AYAM F2 MAHKOTA ARAB
Authors: Narzassi Angga Bintang , Nizma Nata Dwi Annisa , Tsani Salma Mutiara , Poerwanto Seonarwan Hery , Daryono Budi Setiadi 
Published: January 2024

Penelitian ini bertujuan untuk mengetahui jenis ektoparasit yang ditemukan, mengetahui produktivitas telur, serta mempelajari pengaruh ektoparasit terhadap produktivitas telur ayam F2 Mahkota Arab. Tahapan penelitian yang dilakukan yaitu; pemeliharaan ayam, pengambilan data telur, pengambilan sampel ektoparasit, preparasi ektoparasit, dan identiﬁkasi ektoparasit. Analisis data meliputi jumlah ektoparasit per-inang, dominasi jenis ektoparasit, dan jumlah kumulatif telur (9 minggu). Hubungan jumlah ektoparasit dengan telur diuji dengan analisis korelasi Pearson (IBM SPSS Statistic 25) dengan taraf signiﬁkansi 5%. Hasil penelitian menunjukan adanya 3 jenis ektoparasit yaitu Dermanyssus galliane, Menopon gallinae, dan Lipeurus caponis. Rerata jumlah telur ayam F2 Mahkota Arab (43.5 butir) lebih tinggi dari ayam Pelung (20 butir) sebagai salah satu ayam lokal. Hasil analisis korelasi pearson menunjukkan korelasi negatif antara jumlah total ektoparasit pada setiap pengambilan terhadap jumlah telur ayam F2 Mahkota Arab dengan nilai signiﬁkansi sebesar 0,008 (P0,05). The diversity of ectoparasites and its eﬀect on the egg productivity of F2 Mahkota ArabThis research aimed to identify the types of ectoparasites found, determine the egg productivity, and study the inﬂuence of ectoparasites on the egg productivity of F2 Mahkota Arab chickens. The research stages include chicken maintenance, egg data collection, ectoparasite sampling, ectoparasite preparation, and ectoparasite identiﬁcation. Data analysis covers the number of ectoparasites per host, dominant ectoparasite species, and cumulative egg count over 9 weeks. The relationship between ectoparasites and egg productivity is tested using Pearson correlation analysis (IBM SPSS Statistics 25) with a signiﬁcance level of 5%. The research results show the presence of three ectoparasite species: Dermanyssus galliane, Menopon gallinae, and Lipeurus caponis. The average number of F2 Mahkota Arab chicken eggs (43,5 eggs) is higher than that of Pelung chickens (20 eggs), one of the local chicken breeds. The Pearson correlation analysis indicate a negative correlation between the total number of ectoparasites in each collection and the number of F2 Mahkota Arab chicken eggs, with a signiﬁcance value of 0.008 (P0.05).
UMLS-Based Approach for Developing VoiS: Voice-Activated Conversational Agent for Self-Management of Multiple Chronic Conditions
Authors: Park Min Sook , Oh Hyunkyoung , Luo Jake , Ahamed Sheikh Iqbal , Upama Paramita Basak , Anik Adib Ahmed , Tian Shiyu , Rabbani Masud 
Published: January 2024

This abstract proposes a system design for an ontology-based conversational agent (CA) for the self-management of chronic conditions. The proposed system plans to integrate the largest medical ontology, the Unified Medical Language System (UMLS) (Bodenreider, 2004), aiming to narrow the vocabulary gaps between health professionals and patients and to make the agent more responsive to the users.
Recently, conversational agents (CAs) like ChatGPT, or computer dialog systems that simulate human-to-human communication in natural language, have risen and gained popularity in various health contexts (Bin Sawad et al., 2022; Montenegro et al., 2019) including self-management of chronic conditions (Griffin et al., 2020). Despite their potential, the currently available CAs are often criticized for lacking the capability to understand natural language inputs (Montenegro et al., 2019). This limitation can be highlighted in medical areas due to the known vocabulary gaps between health professionals and health consumers. The knowledge-grounded dialog flow for CAs presents the potential to lift this limitation, making CAs naturally converse with their users.
In the proposed voice-activated self-monitoring support (VoiS) application, the research team plans to integrate the UMLS to make the agent better understand lay terms from patients and properly map those terms to medical concepts. This automated process is expected to improve the user experience in two folds: a) promote the quality of communication between the patients and health providers and b) make the VoiS app more responsive to user inputs, overcoming accepting only constrained user inputs (e.g., multiple choice of utterance).
Culturally Adapting the World Health Organization Digital Intervention for Family Caregivers of People With Dementia (iSupport): Community-Based Participatory Approach
Authors: Messina Anna , Amati Rebecca , Annoni Anna Maria , Bano Beatrice , Albanese Emiliano , Fiordelli Maddalena 
Published: January 2024

Background
Informal caregivers of people with dementia are at high risk of developing mental and physical distress because of the intensity of the care provided. iSupport is an evidence-based digital program developed by the World Health Organization to provide education and support for the informal everyday care of people living with dementia.

Objective
Our study aims to describe in detail the cultural adaptation process of iSupport in Switzerland. We specifically focused on the participatory strategies we used to design a culturally adapted, Swiss version of iSupport that informed the development of the desktop version, mobile app, and printed manual.

Methods
We used a mixed methods design, with a community-based participatory approach. The adaptation of iSupport followed the World Health Organization adaptation guidelines and was developed in 4 phases: content translation, linguistic and cultural revision by the members of the community advisory board, validation with formal and informal caregivers, and refinement and final adaptation.

Results
The findings from each phase showed and consolidated the adjustments needed for a culturally adapted, Swiss version of iSupport. We collected feedback and implemented changes related to the following areas: language register and expressions (eg, from “lesson” to “chapter” and from “suffering from” dementia to “affected by” dementia), resources (hyperlinks to local resources for dementia), contents (eg, from general nonfamiliar scenarios to local and verisimilar examples), graphics (eg, from generalized illustrations of objects to human illustrations), and extra features (eg, a glossary, a forum session, and a read-aloud option, as well as a navigation survey).

Conclusions
Our study provides evidence on how to culturally adapt a digital program for informal caregivers of people living with dementia. Our results suggest that adopting a community-based participatory approach and collecting lived experiences from the final users and stakeholders is crucial to meet local needs and to inform the further development, testing, and implementation of digital interventions in a specific cultural context.
Reverse Phenotypes of Patients with Genetically Confirmed Liddle Syndrome
Authors: Granhøj Jeff , Nøhr Thomas K. , Hinrichs Gitte R. , Rasmussen Maria , Svenningsen Per 
Published: January 2024

Background
Liddle syndrome was initially characterized by hypertension, hypokalemia, metabolic alkalosis, and suppressed plasma renin and aldosterone, resulting from gain-of-function variants in the epithelial Na+ channel (ENaC). Efficient treatment with ENaC inhibitors is available, but the phenotypic spectrum of genetically confirmed Liddle syndrome is unknown, and some patients may remain undiagnosed and at risk of inefficient treatment. In this study, we used a reverse phenotyping approach to investigate the Liddle syndrome phenotypic spectrum and genotype–phenotype correlations.

Methods
Pubmed, Embase, Scopus, and the Human Gene Mutation Database were searched for articles reporting Liddle syndrome variants. The genetic variants were systematically classified to identify patients with genetically confirmed Liddle syndrome. We identified 62 articles describing 45 unique variants within 86 Liddle syndrome families, and phenotypic data were pooled for 268 patients with confirmed Liddle syndrome.

Results
The Liddle syndrome variants localized to exon 13 of SCNN1B and SCNN1G, disrupting the PPPxY motif critical for downregulating ENaC activity. Hypertension sensitive to ENaC inhibition was present in 97% of adults carrying Liddle syndrome variants while hypokalemia, metabolic alkalosis, and plasma renin and aldosterone suppression showed incomplete penetrance. In addition, 95% and 55% of patients had a family history of hypertension or cerebrovascular events, respectively. The genotype had minor phenotypic effects; however, probands compared with relatives showed significant phenotypic discrepancies consistent with selection bias for initial genetic screening.

Conclusions
Patients with genetically confirmed Liddle syndrome displayed a phenotypic spectrum, with ENaC-sensitive hypertension and family history of hypertension being the most common features. The phenotype seemed independent of the specific gene or variant type involved.
Evaluation of Mesoscale Convective Systems in High Resolution E3SMv2
Authors: Zhang Meng , Xie Shaocheng , Feng Zhe , Terai Christopher Ryutaro , Lin Wuyin , Chen Chih-Chieh , Fan Jiwen , Golaz Jean-Christophe , Leung L. Ruby , Richter Jadwiga H. , Shan Yunpeng , Song Xiaoliang , Tang Qi , Zhang Guang J. 
Published: January 2024

Mesoscale convective systems (MCSs) play an important role in modulating
the global hydrological cycle, general circulation, and radiative energy
budget. In this study, we evaluate MCS simulations in the second version
of U.S. Department of Energy (DOE) Energy Exascale Earth System Model
(E3SMv2). E3SMv2 atmosphere model (EAMv2) is run at the uniform 0.25°
horizontal resolution. We track MCSs consistently in the model and
observations using the PyFLEXTRKR algorithm, which defines MCS based on
both cloud-top brightness temperature (Tb) and surface precipitation.
Results from using Tb only to define MCS, commonly used in previous
studies, are also discussed. Furthermore, sensitivity experiments are
performed to examine the impact of new cloud and convection
parameterizations developed for EAMv3 on simulated MCSs.
Our results show that EAMv2 simulated MCS precipitation is largely
underestimated in the tropics and contiguous United States. This is
mainly attributed to the underestimated precipitation intensity in
EAMv2. In contrast, the simulated MCS frequency becomes more comparable
to observations if MCSs are defined only based on cloud-top Tb. The
Tb-based MCS tracking method, however, includes many cloud systems with
very weak precipitation which conflicts with the MCS definition. This
result illustrates the importance of accounting for precipitation in
evaluating simulated MCSs. We also find that the new physics
parameterizations help increase the relative contribution of convective
precipitation to total precipitation in the tropics, but the simulated
MCS properties are overall not significantly improved. This suggests
that simulating MCSs will remain a challenge for the next version of
E3SM.
Transcript-Based Lesson Analysis: The Analysis of Classroom Communication in Chemistry Implementing Case-Based and Project-Based Learning
Authors: Winarti Atiek , Iriani Rilia , Butakor Paul Kwame , Meiliawati Ruli , Syarpin Syarpin 
Published: January 2024

Previous research studies found that Case-Based Method (CBM) and Project-Based Learning (PBL) models increase student motivation, critical thinking, and problem-solving. However, so far, the success of implementing these models has mostly been based on learning outcomes. Not many research studies have been carried out to reveal the effectiveness of these models by analyzing the learning process. This research is a qualitative descriptive study that aims to analyze classroom communication on solving problems in Chemistry lessons implementing the CBM and PBL models using Transcript Based Lesson Analysis (TBLA). TBLA is an analysis method based on communication occurring in the classroom. In this research, TBLA analyzes the classroom communication on solving problems in the Wood Chemistry course at the Department of Chemistry Education, Lambung Mangkurat University, Indonesia. A total of 26 students were involved. The classroom communication was recorded by camcorders and the data were transformed into transcripts. The data was processed using Excel to produce a TBLA graph. The results show that (1) the ratio of lecturer and student communication intensity using the CBM model in the classroom is 1:3, and the PBL model is 1:1. (2) The CBM model provides a good environment for the development of student HOTS through in-depth multi-directional communication patterns in the problem-solving process. (3) PBL builds better collaboration between students compared to the CBM model. This research implies that the quality of classroom communication can be improved by integrating the HOTS questions and independent group work as implemented in the CBM and PBL models.