bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selecting renewable desalination using uncertain data: an MCDM framework combining mixed objective weighting and interval MARCOS
Authors: Liu Zhongfang 
Published: February 2023

Abstract
Using renewable energy to drive desalination is increasingly favored to augment water supply, given its cost advantage and energy saving. Divergent renewables can be integrated into different desalination technologies, resulting in the selection of an appropriate renewable desalination being a challenge. This work proposes a multi-criteria decision-making framework to evaluate renewable desalination alternatives from the perspective of multi-dimensional consideration and data uncertainty by developing a mixed objective weighting (MOW) method and extending the method of MARCOS (measurement of alternatives and ranking according to a compromise solution) into uncertain conditions. Mathematical contributions can be found in the two methods, i.e. the MOW improves the objectivity and fairness in the weighting result by considering the dispersions and correlations among the criteria's performances, and interval MARCOS guarantees stability in the ranking result while well preserving the uncertain data. An illustrative case concerning four renewable desalination alternatives is used to test the feasibility of the framework. After implementing comparisons regarding the weighting result and ranking sequence, the effectiveness of the involved methods is confirmed. In conclusion, by fully utilizing objective data concerning renewable desalination while eliminating subjective interference, the developed framework can offer a rational and reliable decision output.
Los desafíos de una bioética global
Authors: Acevedo-Merlano Álvaro 
Published: February 2023

Desde que Van Rensselaer Potter escribió su libro Global Bioethics: Building on the Leopold Legacy (1988), la idea de una bioética global, concebida en el marco de un sistema mundo, ha ganado gran popularidad en las últimas décadas (García-Rodríguez et al., 2009); sustentándose en los alcances globales de la tecnociencia y sus posibles impactos en las diversas manifestaciones de la vida (Herrera, 2008; Sayago y Amoretti, 2021), y demandando decisiones agenciadas partiendo de articulaciones entre centros y periferias (Wallerstein, 2005). De acuerdo con esta perspectiva, los humanos no son considerados superiores a las demás especies que habitan la biosfera (Pinto et al., 2018), priorizando la protección y el respeto por la diversidad biológica y cultural (Sarrazin y Redondo, 2022). Como se afirma en la Declaración Universal sobre Bioética y Derechos Humanos, DUBDH (UNESCO, 2006): la bioética podría ser un instrumento eficaz como propuesta inicial para lograr un respeto ecosistémico (Borgoño, 2009).
La bioética debe propiciar la deliberación para que diversas perspectivas puedan estar en consenso (Parra, 2018). Así, mientras se mantenga la horizontalidad y el respeto por cada una de las cosmologías o epistemes que participan en este concierto de construir una bioética global intercultural, será posible que representantes de diferentes países participen y contribuyan para lograr tal propósito; como lo muestra la DUBDH, por medio de la cual se ha avanzado sobre acuerdos bioéticos desde el respeto por la diferencia (UNESCO, 2006). Con todo, se corre el riesgo de reproducir, privilegiar o defender sutilmente la lógica hegemónica, situación que se debe analizar para no caer en lo mismo que se desea evitar.
Cyclopeptide-based Anti-liver Cancer Agents: A Mini-review
Authors: Li Tingting , Li Tong , Wang Zhiqiang , Jin Yingxue 
Published: February 2023

Abstract:
Chemotherapy is one of the most important treatment modalities for liver cancer, especially
for those who are judged as being unsuitable for surgical resection, local ablative therapy, or
transarterial chemoembolization. However, the efficacy of chemotherapy is still unsatisfactory due to
the long duration, side effects and the tendency to develop drug resistance. The development of novel
anti-liver cancer drugs remains imperative. Cyclopeptides have been recognized as new chemical
modalities in drug design due to their unique constrained structures, extensive biological activities,
higher metabolic stability, cell permeability and bioavailability than linear peptides. A lot of cyclic
peptides have been found with potential anti-proliferative activity against malignant cells, and many of
them showed excellent anti-liver cancer activity. In this review, we will discuss in detail the structures
and the anti-liver cancer activity of small and medium-sized cyclopeptides, aiming to offer some
elicitation to chemotherapeutic drug design based on cyclopeptides.
The Synthetic Progress of Fused Bicyclic N,O-acetals
Authors: Yu Shuyan , Liu Zeyu , Lan Hongbing , Qian Kun , Ding Xiaohua , Yin Zhigang 
Published: February 2023

Abstract:
Owing to the prevalent occurring in natural products and abundant bioactivities, the effective synthetic methods of fused bicyclic N,O-acetals skeletons are of great interest to chemists. This mini-review summarized the thus far synthetic progress of fused bicyclic N,O-acetals. These works were elaborated according to the different reaction types, including a) hetero-Diels-Alder cycloaddition of cyclic enamines with oxadienes; b) step-by-step reactions between cyclic enamines and electrophiles with pendant hydroxyl groups; c) [3+2] cycloaddition of indole with quinone or its equivalent and d) other novel strategies. The catalytic systems and reaction mechanisms are mainly described.
Examining the Role of Histaminergic, Orexinergic, and Cannabinergic
Systems in Redox Regulation in Gastric Adenocarcinoma
Authors: Torres-Román Ana Laura , Rodríguez-Flores Karla Lucero , Hernández-Mora Víctor Manuel , Ruiz-García Erika , Prospero-García Oscar , Guijosa Alberto , Molina Anayansi , Morales-Mulia Marcela , Aschner Michael , Santamaría Abel , Ortega-Gómez Alette 
Published: February 2023

Abstract:
Histaminergic, orexinergic, and cannabinoid systems play a role in both physiologic and
oncogenic mechanisms in digestive tissues. These three systems are important mediators of tumor
transformation, as they are associated with redox alterations, which are key aspects in oncological
disorders. The three systems are known to promote alterations in the gastric epithelium through intracellular
signaling pathways, such as oxidative phosphorylation, mitochondrial dysfunction, and increased
Akt, which might promote tumorigenesis. Histamine promotes cell transformation through
redox-mediated alterations in the cell cycle, DNA repair, and immunological response. The increase
in histamine and oxidative stress generates angiogenic and metastatic signals through the VEGF receptor
and H2R-cAMP-PKA pathway. Immunosuppression in the presence of histamine and ROS is
linked to a decrease in dendritic and myeloid cells in gastric tissue. These effects are counteracted by
histamine receptor antagonists, such as cimetidine. Regarding orexins, overexpression of the Orexin 1
Receptor (OX1R) induces tumor regression through the activation of MAPK-dependent caspases and
src-tyrosine. OX1R agonists are candidates for the treatment of gastric cancer by stimulating apoptosis
and adhesive interactions. Lastly, cannabinoid type 2 (CB2) receptor agonists increase ROS, leading
to the activation of apoptotic pathways. In contrast, cannabinoid type 1 (CB1) receptor agonists
decrease ROS formation and inflammation in gastric tumors exposed to cisplatin. Overall, the repercussion
of ROS modulation through these three systems on tumor activity in gastric cancer depends
on intracellular and/or nuclear signals associated with proliferation, metastasis, angiogenesis, and cell
death. Here, we review the role of these modulatory systems and redox alterations in gastric cancer.
Roles of Microglia in AD Pathology
Authors: Rong Gao , Hongrong Wu , Qingqi Li , Jianfeng Zhao 
Published: February 2023

Abstract:
Amyloid plaques and neurofibrillary tangles are two main characteristics of Alzheimer’s disease (AD). As cerebral resident phagocytes, microglia have different roles in Aβ pathology and tau pathology. In this review, we discuss microglial functions in the formation, clearance, and spread of Aβ and tau. Many receptors and enzymes, which are related to microglia, participate in AD pathologies and thus are thought to be potential targets of AD. So, making use of microglia can be beneficial to confine AD pathologies. To sum up, we review the roles of microglia in AD pathology and possible corresponding treatments.
Neurobehavioral Profiles of Six Genetically-based Rat Models of Schizophrenia-
related Symptoms
Authors: Oliveras Ignasi , Cañete Toni , Sampedro-Viana Daniel , Río-Álamos Cristóbal , Tobeña Adolf , Corda Maria Giuseppa , Giorgi Osvaldo , Fernández-Teruel Alberto 
Published: February 2023

Abstract:
Schizophrenia is a chronic and severe mental disorder with high heterogeneity in its symptoms
clusters. The effectiveness of drug treatments for the disorder is far from satisfactory. It is widely
accepted that research with valid animal models is essential if we aim at understanding its genetic/
neurobiological mechanisms and finding more effective treatments. The present article presents an
overview of six genetically-based (selectively-bred) rat models/strains, which exhibit neurobehavioral
schizophrenia-relevant features, i.e., the Apomorphine-susceptible (APO-SUS) rats, the Low-prepulse
inhibition rats, the Brattleboro (BRAT) rats, the Spontaneously Hypertensive rats (SHR), the Wisket
rats and the Roman High-Avoidance (RHA) rats. Strikingly, all the strains display impairments in prepulse
inhibition of the startle response (PPI), which remarkably, in most cases are associated with
novelty-induced hyperlocomotion, deficits of social behavior, impairment of latent inhibition and cognitive
flexibility, or signs of impaired prefrontal cortex (PFC) function. However, only three of the
strains share PPI deficits and dopaminergic (DAergic) psychostimulant-induced hyperlocomotion
(together with prefrontal cortex dysfunction in two models, the APO-SUS and RHA), which points out
that alterations of the mesolimbic DAergic circuit are a schizophrenia-linked trait that not all models
reproduce, but it characterizes some strains that can be valid models of schizophrenia-relevant features
and drug-addiction vulnerability (and thus, dual diagnosis). We conclude by putting the research based
on these genetically-selected rat models in the context of the Research Domain Criteria (RDoC)
framework, suggesting that RDoC-oriented research programs using selectively-bred strains might
help to accelerate progress in the various aspects of the schizophrenia-related research agenda.
An Efficient Multi-Functionalized Synthesis of N-Arylated Indole-3-
Substituted-2-Benzimidazoles as Anticancer Agents
Authors: Basha Shaik Firoj , Reddy Yeruva Pavankumar , Settipalli Poorna Chandrasekhar , Prasad Tangella Nagendra , Kumar Vadiga Shanthi , Basha Gajula Mahaboob , Aruna Varimadugu , Mulakayala Naveen , Anwar Shaik 
Published: February 2023

Abstract:
A convenient, efficient method for synthesising indole-3-substituted-2-benzimidazoles and
benzothiazoles was carried out using N-arylation followed by condensation-oxidation protocol. Narylation
of 1H-indole-3-carbaldehyde was carried out via CuI/DMED to yield 1-(3-((tertbutylsulfonyl)
methyl)phenyl)-1H-indole-3-carbaldehyde. Condensation using various o-phenylenediamines
in the presence of CAN/DMF as oxidant furnished the desired 2-(1-(3-((tert-butylsulfonyl)
methyl)phenyl)-1H-indol-3-yl)-1H-benzo[d]imidazole. In addition to simple o-phenylenediamines,
1,2-arylenediamines substituted with withdrawing and donating groups, heterocyclic-2,3-phenylene
diamines are well tolerated and give good yields of up to 74% yield. As simple reaction between ophenylenediamines
and 1H-substituted indole-3-carboxyaldehyde give indole-3-substituted-2-
benzimidazoles with moderate to good yields. These novel indole-derived benzimidazoles and benzothiazoles
have shown their efficacy as anti-cancer agents with various cancer K-562, MDA-MB231,
colon-205 cell lines.
Necrotizing Scleritis and Rheumatoid Arthritis: A Clinical Case Report
Supported by A Brief Review with Risk of Bias Analysis
Authors: Busnelo Moreno Celso , Gonçalves Cruz João Carlos , Zotarelli-Filho Idiberto Jose , de Lima Batista Ribeiro Junior Maurélio , Colombo Barboza Marcello Novoa , Colombo Barboza Guilherme Novoa , Gouvêa Barioni Marta Fabiane 
Published: February 2023

Introduction:
Necrotizing scleritis (NS) presents 30%-40% as having a systemic auto-immune condition.

Objective:
To present a clinical case report and a systematic review of necrotizing scleritis with ocular manifestation as the first sign of rheumatologic disease.

Methods:
The present study was elaborated according to the rules of CARE.

Case Report:
A female patient, 63 years old, a white, administrative assistant, presented irritation, low visual acuity (LVA) in the left eye (LE), and headache. Biomicroscopy (BIO) in the right eye (RE) was normal, and the LE showed hyperemia and scleral thinning. After 1 month, the patient re-turns without signs of infectious diseases in the exams, and after a rheumatological evaluation with a diagnosis of rheumatoid arthritis, methotrexate and prednisone are prescribed. After 2 months, she relapsed and started treatment with anti-TNF, with remission after the 4th dose. After 1 year, she evolved with LVA in LE.

Results:
A total of 244 articles were found, 104 articles were evaluated and 10 were included in the brief review. The symmetrical Funnel Plot does not suggest a risk of bias.

Conclusion:
Both in the present case report and the literary findings, it was evidenced that the oph-thalmologic findings may precede the systemic changes of the disease for the early diagnosis of rheumatoid arthritis.
Potential Bioactive Components of Manisrejo Leaf Extract Downregulate MDA and Upregulate Monocytes in Rabbits
Authors: Susatia Budi , Rahman Nur , Adelina Rany 
Published: February 2023

Introduction:Antioxidants derived from herbal plants can reduce malondialdehyde (MDA) and increase monocytes in experimental animals. The administration of manisrejo leaf extract is expected to reduce MDA and increase monocytes. Manisrejo leaves, which are still closely related to berries (Vaccinium sp), have been widely studied as natural antioxidants. This study aimed to elucidate the potential bioactive of manisrejo leaf extract against MDA and monocytes in rabbits.Methods:This study applied the posttest-only control group design. The object of the study was 20 male broiler rabbits aged 2 months treated with manisrejo leaf extract. During the 28 days, the objects were divided into 5 groups; P0 was given normal feed, P1 normal feed plus manisrejo leaf extract as much as 2.5 g/kg BW, P2 normal feed plus manisrejo leaf extract as much as 5 g/ kg BW, P3 normal feed plus manisrejo leaf extract as much as 10 g/kg BW, and P4 normal feed plus manisrejo extract as much as 20 g/kg BW.Results:The data were processed using SPSS using OneWay ANOVA and Kruskal-Wallis tests. The results showed albumin levels (p = 0.899), AST (Aspartate transaminase) levels (p = 0.198), ALT (Alanine Aminotransferase) levels (p = 0.216), cholesterol levels (p = 0.995), monocyte levels (p = 0.014), lymphocyte levels (p = 0.903), leukocyte levels (p = 0.934), neutrophil segment levels (p = 0.210), MDA levels (p = 0.001), and CD44 levels (p = 0.894).Conclusion:Manisrejo leaf extract may contain some potential bioactives that affect downregulating MDA levels and upregulating monocytes in rabbits.
Review on Pharmacognostic, Phytochemical and Pharmacological Characteristics
of Medicinal Plants which can be used to Design a Novel Ayurvedic
Formulation to Treat Hypertension in Multidimensional Approaches
Authors: Maurya Rahul , Boini Thirupataiah , Misro Lakshminarayana , Radhakrishnan Thulasi , Singh Ravindra 
Published: February 2023

Background:
Hypertension is a cardiovascular disorder that is an incurable clinical condition.
It requires lifelong therapy for its management along with long terms application of synthetic
drugs associated with severe toxicity in multiple organs. However, the therapeutic application of
herbal medicines to treat hypertension has gained considerable attention. The limitations and hurdles
associated with conventional plant extract medications are their safety, efficacy, dose, and unknown
biological activity.

Objective:
In the modern era, the active phytoconstituent-based formulation has come into trend.
Various extraction techniques have been reported to extract and isolate active phytoconstituents.
Pharmacognostic, physiochemical, phytochemical, and quantitative analytical methods were developed
for their qualitative and quantitative analysis. The passage of time and changes in lifestyle also
modulate the variable cause of hypertension. Single-drug-based approach therapy cannot efficiently
control the cause of hypertension. Designing a potent herbal formulation with different active constituents
and modes of action against hypertension is necessary to effectively manage hypertension.

Methods:
This review comprises a selection of three different plants, Boerhavia diffusa, Rauwolfia
Serpentina, and Elaeocarpus ganitrus exhibiting antihypertension activity.

Results:
The objective behind selecting individual plants is their active constituents which have different
mechanisms of action for the treatment of hypertension. This review comprises the various extraction
methods of the active phytoconstituents and pharmacognostic, physiochemical, phytochemical,
and quantitative analysis parameters, respectively. It also lists active phytoconstituents present in
plants and the different pharmacological modes of action. Selected plant extracts have different antihypertensive
mechanisms. Extract of Boerhavia diffusa consisting of Liriodendron & Syringaresnol
mono β-D-Glucosidase exhibit Ca2+ channel antagonistic activity; where Reserpine is a phytoconstituent
of Rauwolfia serpentina, which depletes catecholamine, Ajmalin shows an antiarrhythmic effect
by blocking the sodium channel and the aqueous extract of E. ganitrus seeds reduces mean arterial
blood pressure by inhibiting the ACE enzyme.

Conclusion:
It has been revealed that poly-herbal formulation of respective phytoconstituent can be
used as potent antihypertensive medicine to treat hypertension effectively.
Refining Protein Interaction Network for Identifying Essential Proteins
Authors: Zhang Houwang , Feng Zhenan , Wu Chong 
Published: February 2023

Aim:
The study aimed to reconstruct the protein-protein interaction network for the identification
of essential proteins.

Background:
In a living organism, essential proteins play an indispensable role in its survival and development.
Hence, how to identify essential proteins from the protein interaction network (PIN) has become
a hot topic in the field of bioinformatics. However, existing methods’ accuracies for identifying
essential proteins are still limited due to the false positives of the protein-protein interaction data.

Objective:
The objective of the study was to propose an efficient algorithm for the reconstruction of a
protein-protein interaction network.

Methods:
In this paper, a method for the refinement of PIN based on three kinds of biological data
(subcellular localization data, protein complex data, and gene expression data) is proposed. Through
evaluating each interaction within the original PIN, a refined clean PIN could be obtained. To verify the
effectiveness of the refined PIN for the identification of essential proteins, we applied eight networkbased
essential protein discovery methods (DC, BC, CC, LC, HC, SC, LAC, and NC) to it.

Result:
Based on the obtained experimental results, we demonstrated that the precision for identifying
essential proteins could be greatly improved by refining the original PIN using our method.

Conclusion:
Our method could effectively enhance the protein-protein interaction network and improve
the accuracy of identifying essential proteins. In the future, we plan to integrate more biological information
to enhance our refinement method and apply it to more species and more PIN-based discovery
tasks, like the identification of protein complexes or functional modules.
Chronic Disease Prediction Using the Common Data Model: Development Study
Authors: Lee Chanjung , Jo Brian , Woo Hyunki , Im Yoori , Park Rae Woong , Park ChulHyoung 
Published: February 2023

Background
Chronic disease management is a major health issue worldwide. With the paradigm shift to preventive medicine, disease prediction modeling using machine learning is gaining importance for precise and accurate medical judgement.

Objective
This study aimed to develop high-performance prediction models for 4 chronic diseases using the common data model (CDM) and machine learning and to confirm the possibility for the extension of the proposed models.

Methods
In this study, 4 major chronic diseases—namely, diabetes, hypertension, hyperlipidemia, and cardiovascular disease—were selected, and a model for predicting their occurrence within 10 years was developed. For model development, the Atlas analysis tool was used to define the chronic disease to be predicted, and data were extracted from the CDM according to the defined conditions. A model for predicting each disease was built with 4 algorithms verified in previous studies, and the performance was compared after applying a grid search.

Results
For the prediction of each disease, we applied 4 algorithms (logistic regression, gradient boosting, random forest, and extreme gradient boosting), and all models show greater than 80% accuracy. As compared to the optimized model’s performance, extreme gradient boosting presented the highest predictive performance for the 4 diseases (diabetes, hypertension, hyperlipidemia, and cardiovascular disease) with 80% or greater and from 0.84 to 0.93 in area under the curve standards.

Conclusions
This study demonstrates the possibility for the preemptive management of chronic diseases by predicting the occurrence of chronic diseases using the CDM and machine learning. With these models, the risk of developing major chronic diseases within 10 years can be demonstrated by identifying health risk factors using our chronic disease prediction machine learning model developed with the real-world data–based CDM and National Health Insurance Corporation examination data that individuals can easily obtain.