bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new updated prognostic index for patients with brain metastases (BM) treated with palliative whole brain radiotherapy (WBRT) in the era of precision oncology. METASNCore project
Authors: Flores-Paco Pablo , Vargas Alicia , Guevara María Geraldina , Lopera Ignacio , Ruiz Lucía Rodríguez , López-Herrero María , Camús Juan Adrián , López-González Javier , Inga-Saavedra Isabel II , Montero Marina , Barneto Isidoro , Gómez María Auxiliadora , Ruiz Estela , Ruza Marta , Armenta Ana , Palacios Amalia , Haba-Rodríguez Juan de la , Aranda Enrique 
Published: February 2024

Abstract

Introduction
Palliative WBRT is the main treatment for multiple BM. Recent studies report no benefit in survival after WBRT compared to palliative supportive care in patients (pts) with poor prognosis. A new era of systemic treatment strategies based on targeted therapies are improving the prognosis of patients with BM. The purpose of this study is to develop a prognostic score in palliative pts with BM who undergo WBRT in this new setting.
Methods
239 pts with BM who received palliative WBRT between 2013–2022 in our center were analyzed retrospectively. The score was designed according to the value of the β coefficient of each variable with statistical significance in the multivariate model using Cox regression. Once the score was established, a comparison was performed according to Kaplan-Meier and was analyzed by log-rank test.
Results:
149 pts (62.3%) were male and median (m) age was 60 years. 139 (58,2%) were lung cancer and 35 (14,6%) breast cancer. All patients received 30Gys in 10 sessions. m overall survival (OS) was 3,74 months (ms). 37 pts (15,5%) had a specific target mutation. We found that 62 pts were in group < 4 points with mOS 6,89ms (CI 95% 3,18 − 10,62), 84 in group 4–7 points with mOS 4,01ms (CI 95% 3,40 − 4,62) and 92 pts in group > 7 points with mOS 2,72ms (CI 95% 1,93 − 3,52) (p < 0,001).
Conclusions:
METASNCore items are associated with OS and they could be useful to select palliative pts to receive WBRT. More studies are necessary to corroborate our findings.
Adaptasi Nuansa Lokal pada Proses Perancangan Bangunan Komersial di Bali
Authors: Gabriella Jessica Caroline , Leonara Celza , Raniasta Yohanes Satyayoga 
Published: February 2024

Title: The Adaptation of Local Architecture in the Commercial Building Design Process in Bali
The local Balinese architecture is still being developed and maintained simultaneously in Bali, incorporating elements of history and space. Over time, modernization has impacted the existence of local Balinese architecture in its manifestation. The local government responded to the act of preserving culture by establishing a Bali Regional Regulation, which regulates the design of architectural buildings with local Balinese nuances. The existence of this culture has become the main attraction in Bali, and it requires support from the spaces or commercial buildings. Therefore, the image of commercial buildings is regarded as a manifestation of the existence of local Balinese architectural culture. This paper focuses on the building's appearance, with two object location points as the case study to determine how to adapt local nuances to different typologies, namely Pahdi Coffee Kintamani and Benoa Beach Club, as objects that can illustrate the process of design acculturation. The research evaluated the design against existing benchmarks to obtain the adaptation process used in commercial building design. The method used was qualitative descriptive. As a result, the design of Pahdi Coffee Kintamani and Benoa Beach Club can fit with the function needed and adapt the local Balinese architecture through the appropriate process.
Agricultural drought response to meteorological drought over different agro-climatic zones of the Ganga River basin
Authors: C.V. Anjali , Pachore Akshay , Remesan Renji 
Published: February 2024

Abstract
Drought directly impacts the agricultural ecosystem, thus causing significant threat to regional and global food security. Investigating the occurrence and propagation patterns of drought events is crucial for its better understanding and mitigation. The study investigates different agro-climatic regions of the Ganga River basin from 2001 to 2020 to quantify meteorological drought using the Standardized Precipitation Index (SPI). Additionally, the assessment of agricultural drought was conducted using the Standardized Soil Moisture Index (SSMI) and Normalized Difference Vegetation Index (NDVI). For understanding the propagation dynamics of drought, Pearson Correlation Coefficient (PCC)-based approach was employed to compute the propagation time between meteorological and agricultural drought types. Stronger correlations were observed between SPI and SSMI compared to SPI and NDVI anomaly, highlighting the direct connection between precipitation and soil moisture. The results of the present study show that the time for propagation ranges within 1–11 months across the Ganga basin as inferred from the maximum PCC values between the SPI and SSMI time series. The propagation rate from meteorological drought to agricultural drought varied from 29.03 to 73.33% among different agro-climatic regions. The insights gained from this analysis on propagation time and rate can inform policymakers in formulating appropriate measure.
Strengthening rural community water safety planning in Pacific Island countries: evidence and lessons from Solomon Islands, Vanuatu, and Fiji
Authors: Souter Regina T. , Ruuska Doug , Pene Sarah , Benjamin Collin , Funubo Sheila , Beal Cara D. , Sanderson Rosanna , Batikawai Suliasi , Ravai Ana , Antoinette-Wickham Tema , Rankin Tom , Peter Lindah , Molitambe Heather , Theophile Gaston , Shrestha Sachita , Kotra Krishna K. , Bugoro Hugo , Panda Nixon , Deo Vimal , Love Mark 
Published: February 2024

Abstract

Pacific Island Countries (PICs) collectively have the lowest rates of access to safely managed or basic drinking water and sanitation globally. They are also the least urbanised, have dynamic socioeconomic and increasing climate-linked challenges. Community-based water managers need to respond to variability in water availability and quality caused by a range of hazards. Water Safety Planning (WSP), a widely adopted approach to assessing water supply, offers a risk-based approach to mitigating both existing and future hazards. WSP is adaptable, and making modifications to prescribed WSP to adapt it to the local context is common practice. Within the Pacific Community Water Management Plus research project, we used formative research and co-development processes to understand existing local modifications, whether further modifications are required, and, to develop additional modifications to WSP in Fiji, Vanuatu and Solomon Islands. The types of additional local modifications we recommend reflect the unique context of PICs, including adjusting for community management of water supplies and required collective action, community governance systems, levels of social cohesion in communities, and preferred adult-learning pedagogies. Incorporating modifications that address these factors into future WSP will improve the likelihood of sustained and safe community water services in Pacific and similar contexts.
Progress of evapotranspiration research based on VOSviewer: A review
Authors: Yang Zetian , Qin Tianling , Wang Huiliang 
Published: February 2024

Abstract

Evapotranspiration (ET) is a key link between atmospheric processes and land surface hydrological processes. With the impact of global warming and human activities, research on ET has become a hot topic. Supported by a total of 1,222 Chinese and English literatures from China National Knowledge Infrastructure and the Web of Science Core Collection from 2013 to 2022, this paper adopts the bibliometric visualization method to review the current research progress and future trend of ET with respect to the time of publication, countries, institutions, journals, and research hotspots. The results show that the number of related research articles is increasing rapidly and the journals with high citations are Journal of Hydrology, Agricultural and Forest Meteorology and Agricultural Water Management. The research hotspots have been focused on prototype observation, remote sensing inversion, mechanism equation, model simulation, spatial–temporal analysis, and attribution identification. In the future, there is an urgent need to integrate algorithms such as machine learning and artificial intelligence, to develop higher resolution remote sensing products, to improve the mechanism equations based on precise observations, and to clarify the impact of synergistic effects on ET among the driving factors.
Research Progress of PD 1/PD L1 Inhibitors in the Treatment of
Urological Tumors
Authors: Han Lv , Meng Yang , Jianguo Zhu 
Published: February 2024

:
Immune checkpoint inhibitors (ICIs) offer significant advantages for the treatment of
urologic tumors, enhancing the immune function of anti-tumor T cells by inhibiting PD-1 and PDL1
binding. They have been shown to be well tolerated and remarkably effective in clinical practice,
offering hope to many patients who are not well treated with conventional drugs. Clinical
trials in recent years have shown that anti-PD-1 and PD-L1 antibodies have good efficacy and safety
in the treatment of urologic tumors. These antibodies can be applied to a variety of urologic tumors,
such as bladder cancer, renal cell carcinoma, and prostate cancer. They have been approved
for the first-line treatment or as an option for follow-up therapy. By blocking the PD-1/PD-L1 signaling
pathway, ICIs can release immune functions that are suppressed by tumor cells and enhance
T-cell killing, thereby inhibiting tumor growth and metastasis. This therapeutic approach
has achieved encouraging efficacy and improved survival for many patients. Although ICIs have
shown remarkable results in the treatment of urologic tumors, some problems remain, such as
drug resistance and adverse effects in some patients. Therefore, further studies remain important
to optimize treatment strategies and improve clinical response in patients. In conclusion,
PD-1/PD-L1 signaling pathway blockers have important research advances for the treatment of
urologic tumors. Their emergence brings new hope for patients who have poor outcomes with traditional
drug therapy and provides new options for immunotherapy of urologic tumors. The purpose
of this article is to review the research progress of PD-1 and PD-L1 signaling pathway blockers
in urologic tumors in recent years.
Role of NADPH Quinone Reductase 1 (NQO1) Polymorphism in Prevention, Diagnosis, and Treatment of Gastrointestinal Cancers
Authors: Ghorbani Fereshte , Mazidimoradi Afrooz , Biyabani Arezou , Allahqoli Leila , Salehiniya Hamid 
Published: February 2024

:
Most cancer deaths are related to gastrointestinal (GI) cancers. Several environmental
and genetic factors are effective in the occurrence of GI cancers, such as esophageal, stomach, colorectal,
liver, and pancreatic cancers. In addition to risk factors related to lifestyle, reactive oxygen
species (ROS) also play a role in GI cancers, and an increase in the amount of free radicals
can lead to oxidative stress and increase the probability of malignancies. NQO1 is part of the
body's antioxidant defense system that protects cells against mutagenesis and carcinogenesis.
NQO1 is responsible for reducing quinones to hydroquinone and preventing the generation of
ROS by catalyzing the reaction. The existence of single nucleotide polymorphisms (SNPs) of
NADPH Quinone Reductase 1 (NQO1), such as 609C>T NQO1, leads to a decrease in NQO1 enzyme
activity. Some NQO1 polymorphisms may increase the risk of gastrointestinal cancer. So,
the C609T polymorphism in the NQO1 gene has been found to be effective in causing gastrointestinal
cancers. On the other hand, it is very important to know the role of biomarkers in the prognosis
and management of cancer treatment. Therefore, this study investigated the role of NQO1 as
a biomarker in the management of gastrointestinal cancers (prevention, diagnosis and treatment).
Pyrazoline Derivatives as Promising MAO-A Targeting Antidepressants:
An Update
Authors: Choudhary Diksha , Kaur Rajwinder , Singh Thakur Gurjeet , Kumar Bhupinder 
Published: February 2024

Abstract:
Depression is one of the key conditions addressed by the Mental Health Gap Action
Programme (mhGAP) of WHO that can lead to self-harm and suicide. Depression is associated
with low levels of neurotransmitters, which eventually play a key role in the progression and development
of mental illness. The nitrogen-containing heterocyclic compounds exhibit the most
prominent pharmacological profile as antidepressants. Pyrazoline, a dihydro derivative of pyrazole,
is a well-known five-membered heterocyclic moiety that exhibits a broad spectrum of biological
activities. Many researchers have reported pyrazoline scaffold-containing molecules as
potential antidepressant agents with selectivity for monoamine oxidase enzyme (MAO) isoforms.
Several studies indicated a better affinity of pyrazoline-based moiety as (monoamine oxidase inhibitors)
MAOIs. In this review, we have focused on the recent advancements (2019-2023) in the
development of pyrazoline-containing derivatives exhibiting promising inhibition of MAO-A enzyme
to treat depression. This review provides structural insights on pyrazoline-based molecules
along with their SAR analysis, in silico exploration of binding interactions between pyrazoline
derivatives and MAO-A enzyme, and clinical trial status of various drug molecules against depression.
The in-silico exploration of potent pyrazoline derivatives at the active site of the MAOA
enzyme will provide further insights into the development of new potential MAO-A inhibitors
for the treatment of depression.
Insight into the Natural Biomolecules (BMs): Promising Candidates as
Zika Virus Inhibitors
Authors: Dobhal Kiran , Garg Ruchika , Singh Alka , Semwal Amit 
Published: February 2024

Abstract:
Zika virus (ZIKV) is among the relatively new infectious disease threats that include
SARS-CoV2, coronavirus, monkeypox (Mpox) virus, etc. ZIKV has been reported to cause severe
health risks to the fetus. To date, satisfactory treatment is still not available for the treatment
of ZIKV infection. This review examines the last five years of work using natural biomolecules
(BMs) to counteract the ZIKV through virtual screening and in vitro investigations. Virtual
screening has identified doramectin, pinocembrin, hesperidins, epigallocatechin gallate,
pedalitin, and quercetin as potentially active versus ZIKV infection. In vitro, testing has shown
that nordihydroguaiaretic acid, mefloquine, isoquercitrin, glycyrrhetinic acid, patentiflorin-A,
rottlerin, and harringtonine can reduce ZIKV infections in cell lines. However, in vivo, testing is
limited, fortunately, emetine, rottlerin, patentiflorin-A, and lycorine have shown in vivo anti-
ZIKV potential. This review focuses on natural biomolecules that show a particularly high selective
index (>10). There is limited in vivo and clinical trial data for natural BMs, which needs to
be an active area of investigation. This review aims to compile the known reference data and
discuss the barriers associated with discovering and using natural BM agents to control ZIKV
infection.
A Comparative Analysis of Feature Selection Algorithms in Cross Domain
Sentiment Classification
Authors: Goel Lipika , Gupta Sonam , Gupta Avdhesh , Nandal Neha , Rajan Siddhi Nath , Gupta Pradeep 
Published: February 2024

Background:
Cross-domain Sentiment Classification is a well-researched field in
sentiment analysis. The biggest challenge in CDSC arises from the differences in domains and
features, which cause a decrease in model performance when applying source domain features
to predict sentiment in the target domain. To address this challenge, several feature selection
methods can be employed to identify the most relevant features for training and testing in
CDSC.

Method:
The primary objective of this study is to perform a comparative analysis of different
feature selection methods on the various CDSC tasks. In this study, statistical test-based feature
selection methods using 18 classifiers for the CDSC task has been implemented. The impact
of these feature selection methods on Amazon product reviews, specifically those in the
DVD, Electronics, Kitchen, and TV domains, has been compared. Total 12x18 experiments
were conducted for each feature selection method by varying source and target domain pairs
from the Amazon product reviews dataset and by using 18 classifiers. Performance evaluation
measures are accuracy and f-score.

Results:
From the experiments, it has been inferred that the CSDC task depends on various factors
for a good performance, from the right domain selection to the right feature selection
method. We have concluded that the best training dataset is Electronics as it gives more precise
results while testing in either domain selected for our study.

Conclusion:
Cross-domain sentiment analysis is a dynamic and interdisciplinary field that offers
valuable insights for understanding how sentiment varies across different domains.
Grid Search based Optimum Feature Selection by Tuning hyperparameters for Heart Disease Diagnosis in Machine learning
Authors: Saranya G. , Pravin A. 
Published: February 2024

Background:
Heart disease prediction model helps physicians to identify patients who are at high risk of developing heart disease and target prevention strategies accordingly. These models use patient demographics, medical history, lifecycle factors, and clinical measurements to calculate the risk of heart disease within a certain time frame. In identifying important features of heart disease, a popular approach is using Machine learning (ML) models. ML models can analyse a large amount of data and find patterns that are difficult for humans to detect.

Methods:
In this proposed work, Random Forest classifier is used to identify the most important features that contribute to heart disease and increase the prediction accuracy of the model by tuning the hyperparameters using grid search approach.

Results:
The proposed system was evaluated and compared in terms of accuracy, error rate and recall with the traditional system. As the traditional system achieved accuracies between 81.97% and 90.16%., the proposed hyperparameter tuning model achieved accuracies in the range increased between 84.22% and 96.53%.

Conclusion:
These evaluations demonstrated that the proposed prediction approach is capable of achieving more accurate results compared with the traditional approach in predicting heart disease by finding optimum features.
The Potential of Exercise on Lifestyle and Skin Function: Narrative Review
Authors: Oizumi Ryosuke , Sugimoto Yoshie , Aibara Hiromi 
Published: February 2024

Background
The skin is an important organ of the human body and has moisturizing and barrier functions. Factors such as sunlight and lifestyle significantly affect these skin functions, with sunlight being extremely damaging. The effects of lifestyle habits such as smoking, diet, and sleep have been studied extensively. It has been found that smoking increases the risk of wrinkles, while excessive fat and sugar intake leads to skin aging. Lack of sleep and stress are also dangerous for the skin’s barrier function. In recent years, the impact of exercise habits on skin function has been a focus of study. Regular exercise is associated with increased blood flow to the skin, elevated skin temperature, and improved skin moisture. Furthermore, it has been shown to improve skin structure and rejuvenate its appearance, possibly through promoting mitochondrial biosynthesis and affecting hormone secretion. Further research is needed to understand the effects of different amounts and content of exercise on the skin.

Objective
This study aims to briefly summarize the relationship between lifestyle and skin function and the mechanisms that have been elucidated so far and introduce the expected effects of exercise on skin function.

Methods
We conducted a review of the literature using PubMed and Google Scholar repositories for relevant literature published between 2000 and 2022 with the following keywords: exercise, skin, and life habits.

Results
Exercise augments the total spectrum power density of cutaneous blood perfusion by a factor of approximately 8, and vasodilation demonstrates an enhancement of approximately 1.5-fold. Regular exercise can also mitigate age-related skin changes by promoting mitochondrial biosynthesis. However, not all exercise impacts are positive; for instance, swimming in chlorinated pools may harm the skin barrier function. Hence, the exercise environment should be considered for its potential effects on the skin.

Conclusions
This review demonstrates that exercise can potentially enhance skin function retention.
The Regionalism of Borders in Indonesia (Case Study: Sebatik Island, Indonesia)
Authors: Nugroho Agung Satriyo , Rijanta R , Santoso Purwo , Marfai Muh Aris 
Published: February 2024

Border management has, on the one hand, grown beyond the conceptual limit that is the terminological deﬁnition of borders as lines separating countries to also factor in their development as areas. On the other, it should aim to strengthen state sovereignty and improve the welfare of its citizens. Tese ofen lead to the dichotomy between security and prosperity in border management approaches. Regionalism is an approach used to create regional integration across national borders, but this concept is strongly inﬂuenced by the interests of states on each side of the border. Terefore, this research explores if spatial interaction between border communities is controlled by the regionalism concept introduced by the state or, instead, grows organically as part of regionalization due to livelihoods that require border crossings. It used a case study of Sebatik Island in the Indonesia-Malaysia border area. Te qualitative research design applied exploratory principles on the spatial interaction pattern formed between border communities and then synthesized the identiﬁed units of information on transboundary activities while considering government-issued policies on border management. Results showed that regionalism was only minimally implemented in managing the border area. It means that border landscapes in Indonesia are organically formed on the micro-scale even though the perspective of regionalism has long been adopted at the regional level, i.e., ASEAN.