bluuebunny/crossref_metadata_2025_split huggingface dataset:
Systematic Review of Long Term Sinonasal Outcomes in CRSwNP after Endoscopic Sinus Surgery: A call for Unified and Standardized Criteria and Terms
Authors: Rodriguez-Van Strahlen Camilo , Arancibia Claudio , Calvo-Henriquez Christian , Mullol Joaquim , Alobid Isam 
Published: June 2024

Abstract
Purpose of Review
To present current evidence in long-term (> 5 years) results after endoscopic sinus surgery (ESS) focusing on Patients Reported Outcome Measures (PROMs) and other sinonasal outcomes while assessing the role of ESS in the treatment of CRSwNP, and identifying outcomes which affect the results of ESS and defining recommendations for future studies.

Recent Findings
Long-term results of ESS in CRSwNP can be branched in PROMs and other objective measurements. Despite the heterogeneity of reported outcomes make it difficult to perform comparisons and meta-analysis, ESS improves PROMs, including symptoms, QOL and olfaction. Objectives outcomes such as NPS, LMS, type of surgery, or recurrence and revision surgery don’t have a clear role in long-term results. Clustering patients suggest asthma, N-ERD, allergy, eosinophil count and IL-5 could have a role in predicting recurrence and severe disease.

Summary
Long-term studies of CRSwNP treated with ESS are scarce. There is a significant need to standardize the report of results. The use of tools as SNOT-22, NPS, validated smell tests, defined criteria for disease recurrence and control and ESS extension in a unified systematic way could allow better comparisons between treatments in the new era of biologics.
Is There a Role for SGLT2 Inhibitors in Patients with End-Stage Kidney Disease?
Authors: Siddiqui Rehma , Obi Yoshitsugu , Dossabhoy Neville R. , Shafi Tariq 
Published: June 2024

Purpose of Review
Chronic kidney disease and end-stage kidney disease (ESKD) are well-established risk factors for cardiovascular disease (CVD), the leading cause of mortality in the dialysis population. Conventional therapies, such as statins, blood pressure control, and renin-angiotensin-aldosterone system blockade, have inadequately addressed this cardiovascular risk, highlighting the unmet need for effective treatment strategies. Sodium–glucose transporter 2 (SGLT2) inhibitors have demonstrated significant renal and cardiovascular benefits among patients with type 2 diabetes, heart failure, or CKD at risk of progression. Unfortunately, efficacy data in dialysis patients is lacking as ESKD was an exclusion criterion for all major clinical trials of SGLT2 inhibitors. This review explores the potential of SGLT2 inhibitors in improving cardiovascular outcomes among patients with ESKD, focusing on their direct cardiac effects.

Recent Findings
Recent clinical and preclinical studies have shown promising data for the application of SGLT2 inhibitors to the dialysis population. SGLT2 inhibitors may provide cardiovascular benefits to dialysis patients, not only indirectly by preserving the remaining kidney function and improving anemia but also directly by lowering intracellular sodium and calcium levels, reducing inflammation, regulating autophagy, and alleviating oxidative stress and endoplasmic reticulum stress within cardiomyocytes and endothelial cells.

Summary
This review examines the current clinical evidence and experimental data supporting the use of SGLT2 inhibitors, discusses its potential safety concerns, and outlines ongoing clinical trials in the dialysis population. Further research is needed to evaluate the safety and effectiveness of SGLT2 inhibitor use among patients with ESKD.
Multi-Dimensional Healthy Aging Interventions: Evidence from an Age-Friendly Community Program in Italy
Authors: Lucifora Claudio , Villar Elena 
Published: June 2024

AbstractIn this paper, we evaluate a pre-pandemic multi-dimensional healthy aging program promoted by an Italian private Foundation to provide new insights on interventions that address both health and social needs within an age-friendly community framework. Using propensity score matching and linear regression models, with specific controls for individuals’ self-selection into the program, we compare lifestyles, physical health, mental conditions, and healthy life expectancy of subjects enrolled into the program with those of similar, but non-enrolled, subjects. Our main finding is that, to be more effective, healthy aging interventions should target the key dimensions of aging - physical, mental, and social - in a holistic approach. Indeed, we show that the multi-dimensionality of the healthy aging intervention under study - the contemporaneous target of older adults’ physical, mental, and social health - is crucial in improving both quantity and quality of life.
Estimating Biogeochemical Rates Using a Computationally Efficient Lagrangian Approach
Authors: Gross Edward , Holleman Rusty , Kimmerer Wim , Kraus Tamara , Bergamaschi Brian , Burdick-Yahya Scott , Senn David 
Published: June 2024

AbstractNutrient concentrations in many estuaries have increased over the past century due to increases in wastewater discharge and increased agricultural intensity, contributing to multiple environmental problems. Numerous biogeochemical and physical processes in estuaries influence nutrient concentrations during transport, resulting in complex spatial and temporal variability and challenges identifying predominant processes and their rates. Mechanistic models which require these rates to quantify biogeochemical processes become complex and difficult to calibrate as the number of processes and parameters grows, owing to the high dimensionality of the parameter space and the computational cost of simultaneously modeling the transport and transformations of constituents. We developed a modeling approach that decouples transport from transformations, enabling fast, data-driven exploration of the parameter space. The approach extracted information including water age, cumulative exposure to specific habitats, and mean water depth exposure from a hydrodynamic model. Using this information, a biogeochemical model was implemented to predict ammonium and nitrate concentrations in a Lagrangian frame. The model performed each simulation in milliseconds on a laptop computer, allowing the fitting of rate parameters for key transformations by optimization. The optimization used fixed station nitrate observations and the model was then validated against high-resolution mapping observations of ammonium and nitrate. The results suggest that the observed spatial and temporal variation can be largely represented with five transformation processes and their associated rates. Dissolved inorganic nitrogen (DIN) losses occurred only in shallow vegetated areas in the model, highlighting that biogeochemical processes in these areas should be included in DIN models.
Unveiling cystinosis in India
Authors: Heroor Aniruddh , Verma Anshuman , Achanta Divya Sree , Edward Deepak Paul , Ramappa Muralidhar 
Published: June 2024

Abstract
Background
Cystinosis, a rare autosomal recessive disease, stems from genetic alterations in the CTNS gene, leading to a malfunction of lysosomal ‘cystinosin’ protein. This dysfunction causes intracellular cystine accumulation, resulting in nephropathic and ocular abnormalities. Cystinosis is relatively rare in Asian countries, partly due to underreporting and lack of awareness, and cases often lack sufficient genetic evidence to support their diagnosis. This study presents a descriptive case series involving four Indian patients with cystinosis, elucidating clinical and genetic aspects.

Methods
All four patients underwent comprehensive ophthalmic evaluations. The corneal cystine crystal (CCC) score was determined using anterior segment optical coherence tomography (AS-OCT) and in vivo confocal microscopy (IVCM). Genetic testing was performed using whole exome sequencing (WES).

Results
Corneal crystal deposition, a hallmark of cystinosis, was evident in all cases. Systemic analysis revealed manifestations such as polyuria, bony abnormalities, growth retardation, hypothyroidism, and developmental delay. Genetic testing in two patients identified a homozygous pathogenic variant c.18_21delGACT (p.Thr7PhefsX7) in the CTNS gene, previously reported to cause cystinosis in different ethnic populations.

Conclusions
Our case series sheds light on underrepresented cases of cystinosis in the Indian population. The rarity of this condition poses diagnostic challenges, leading to delayed or inaccurate diagnoses. AS-OCT can serve as a viable alternative to IVCM for assessing corneal crystal density status in cystinosis. Timely recognition and management are crucial in preventing complications, and the inclusion of genetic testing can expedite cystinosis diagnosis.
Transcriptional dysregulation and insights into clinical implications in melanoma
Authors: Shen Chen , Chen Mengjiao , Nian Xuanbingning , Li Jun , Tao Juan 
Published: June 2024

AbstractMelanoma, a highly prevalent cancer worldwide, exhibits remarkable diversity and plasticity, with the adverse prognosis of advanced melanoma remaining a focal point of investigation. Despite the emergence of novel drugs and combination therapies improving patient outcomes, challenges such as drug resistance and incomplete mechanistic understanding persist. Transcriptional programs play a pivotal role in determining the characteristics of both normal and tumour cells, with their dysregulation of these programs being a hallmark of melanoma. Abnormalities in transcription regulation not only impact the characteristics of melanoma cells but also influence the tumor’s metabolism and immune microenvironment, forming a complex network in tumours. Thus, understanding these changes comprehensively is crucial for unravelling the mechanisms underlying melanoma initiation, progression, response to targeted and immune therapies, and treatment resistance. This review primarily explores the transcriptional features in normal melanocytes and melanoma cells, emphasizing their profound impact on cell metabolism and immune evasion. Furthermore, the plasticity of melanoma cells and its relationship with treatment resistance and metastasis are highlighted, emphasizing the importance of targeting dysregulated transcriptional factors and pathways. Finally, potential clinical implications in targeting transcriptional abnormalities are highlighted, particularly in metastatic or treatment-resistant melanomas. This comprehensive overview aims to contribute to the advancement of melanoma research and the development of precise and effective treatments.
TOPSIS Method Based on Intuitionistic Fuzzy Soft Set and Its Application to Diagnosis of Ovarian Cancer
Authors: Masmali Ibtisam , Ahmad Ali , Azeem Muhammad , Koam Ali N. A. , Alharbi Rehab 
Published: June 2024

AbstractFuzzy set theory is a mathematical method for dealing with uncertainty and imprecision in decision-making. Some of the challenges and complexities involved in medical diagnosis can be addressed with the help of fuzzy set theory. Ovarian cancer is a disease that affects the female reproductive system's ovaries, which also make the hormones progesterone and estrogen. The ovarian cancer stages demonstrate how far the disease has spread from the ovaries to other organs. The TOPSIS technique (Technique for Order Preference by Similarity to Ideal Solution) aids in selecting the best option from a selection of choices by taking into account a number of variables. It provides a ranking or preference order after weighing the benefits and drawbacks of each solution. Intuitionistic fuzzy soft set (IFSS) is the framework to deal with the uncertain information with the help of the parameters. The goal of this article is to develop some basic aggregation operators (AOs) based on the IFSS and then use them to diagnose the stages of the ovarian cancer using the TOPSIS technique. Furthermore, the variation of the parameters used in the developed model AOs is also observed and graphically represented.
Short-Term Electrical Load Forecasting Based on Fuzzy Rough Set Feature Selection and Multi-kernel Extreme Learning Machine
Authors: Liu Gang , Jin ZhiYuan , Yu HongZhong 
Published: June 2024

AbstractAs the complexity of power systems increases, accurate load forecasting becomes crucial. This paper proposes a method for short-term electrical load forecasting that integrates fuzzy rough set (FRS) theory and multi-kernel extreme learning machine (MKELM) to improve both the accuracy and reliability of load predictions. First, we introduce the FRS theory for pre-selecting features. Next, we use correlation analysis (CA) to get rid of redundant features and choose the most important ones as prediction targets. Second, we introduce a novel prediction model based on the multi-kernel extreme learning machine (MKELM), utilizing an enhanced differential evolution algorithm (DEA) to optimize the kernel function’s parameters and the model’s weights. This approach allows for effective adaptation to various feature subsets. Experimental results on actual power load data demonstrate that our approach achieves high accuracy and reliability in short-term load forecasting. Moreover, comparative evaluations reveal that the proposed method outperforms alternative prediction models on key metrics. ANOVA and multiple comparisons further validate the statistical significance and superiority of the proposed method.
Profile distribution and edaphic controls of soil organic carbon in dominant soil orders of Chitwan, Nepal
Authors: Ghimire Sunil , Ojha Roshan Babu , Shrivastav Chandeshwor , Bhatta Sandesh , Panday Dinesh 
Published: June 2024

AbstractSoil profile distribution of soil organic carbon (SOC) in different soil types provides information about the carbon (C) dynamics in terrestrial ecosystems, and is also important for understanding climate feedback mechanisms and for developing a proper farm level SOC management decision. However, there are limited studies on it when we consider soil horizons of dominant soil orders of Nepal, which mostly use a fixed depth approach rather than horizon-based approach while studying profile SOC distribution. We collected soils from master horizons (0 to 100 cm) of three dominant soil orders (Alfisols, Entisols, and Inceptisols) in Chitwan district of Nepal, to understand the controlling factors of SOC accumulation. Dominant soil order regions were identified using a soil map prepared by the National Land Use Planning Project where a pit of 1 m3 was dug for each soil order and replicated four times. The highest SOC concentration (10.1 ± 0.6 g kg−1) was found in Alfisols followed by Entisols (8.8 ± 0.3 g kg−1) and Inceptisols (7.2 ± 8.9 g kg−1). Similarly, the highest SOC stock was found in the soil profile of Alfisols (200.01 ± 15.97 t ha−1) followed by Entisols (124.67 ± 12.20 t ha−1) and Inceptisols (113.27 ± 10.30 t ha−1) horizons. Surface (A) horizons of all three-soil order had significantly higher SOC than sub-surface (B and C) horizons. Regression analysis showed significant variability in SOC to clay content (R2 = 0.45, p < 0.0001), sand (R2 = 0.19, p < 0.001), and total nitrogen (N; R2 = 0.835, p < 0.001). Principal component analysis showed that the controlling edaphic factors differ with the soil types considering SOC change in the whole soil profile. Overall, we found that soil pH, N, clay and sand contents are the major controlling factors that drive the SOC accrual in dominant soil orders of Nepal.
Graphical Abstract
Contrasts in ecological assessment and tourism sector perceptions of coral reefs: a case study at Islas Marietas National Park
Authors: Burroughs Carina , Rodríguez-Troncoso Alma Paola 
Published: June 2024

AbstractUnderstanding and incorporating stakeholders' perceptions is fundamental to effectively managing marine protected areas (MPAs). Islas Marietas National Park (IMNP), an ecologically important coral reef ecosystem in the Central Mexican Pacific (CMP), has experienced major fluctuations in tourism pressures, environmental health, and regulatory changes in the past decade, which has led to efforts in its monitoring and restoration; however, limited research has been conducted to understand stakeholders’ perceptions of the social-ecological system. The present study integrates ecological attributes of the park, primarily changes in live coral cover (LCC), and stakeholders’ perceptions of the coral reef ecosystem to determine how users and tourism operators perceive the ecological changes in the area. It employs a mixed-methods approach, including ecological markers such as changes in live coral cover from 2012 to 2022 and recent surveys collected from tourism stakeholders. The results show that while live coral cover increased from 12.11 ± 6.21% in 2012 to 25.29 ± 15.00%, tourists and tourism operators perceive a decrease and degradation of the natural environment. In addition, tourists perceive a major ecological decline than tourism operators, and this perception is not correlated with their age range. Perceptions of environmental health do not align with the health status assessed by ecological monitoring, and the lack of awareness of ecological recovery at IMNP may hinder management efforts’ continued and expanded success. Therefore, developing more effective communication initiatives, citizen involvement, and education is important for conserving and managing coral communities in the park.
Aging and homeostasis of the hypodermis in the age-related deterioration of skin function
Authors: Liu Meiqi , Lu Feng , Feng Jingwei 
Published: June 2024

AbstractAdipose tissues in the hypodermis, the crucial stem cell reservoir in the skin and the endocrine organ for the maintenance of skin homeostasis undergo significant changes during skin aging. Dermal white adipose tissue (dWAT) has recently been recognized as an important organ for both non-metabolic and metabolic health in skin regeneration and rejuvenation. Defective differentiation, adipogenesis, improper adipocytokine production, and immunological dissonance dysfunction in dWAT lead to age-associated clinical changes. Here, we review age-related alterations in dWAT across levels, emphasizing the mechanisms underlying the regulation of aging. We also discuss the pathogenic changes involved in age-related fat dysfunction and the unfavorable consequences of accelerated skin aging, such as chronic inflammaging, immunosenescence, delayed wound healing, and fibrosis. Research has shown that adipose aging is an early initiation event and a potential target for extending longevity. We believe that adipose tissues play an essential role in aging and form a potential therapeutic target for the treatment of age-related skin diseases. Further research is needed to improve our understanding of this phenomenon.
Ocular vs neurosyphilis. are they the same? A guide to investigation and management
Authors: Reid Gerard A. , Halmagyi Gabor Michael , Whyte Claudia , McCluskey Peter J. 
Published: June 2024

AbstractThis article reviews key concepts in the epidemiology, clinical features, diagnosis and management of ocular syphilis. It is not a systematic review or meta-analysis, but highlights the critical clinical features and investigations in patients with ocular syphilis. It reviews the overlap and interplay between ocular and neuro syphilis and provides practical guidance to diagnose and manage patients with ocular syphilis.
Functional phenotypes in schizophrenia spectrum disorders: defining the constructs and identifying biopsychosocial correlates using data-driven methods
Authors: Tang Sunny X. , Hänsel Katrin , Oliver Lindsay D. , Dickie Erin W. , Hawco Colin , John Majnu , Voineskos Aristotle , Gold James M. , Buchanan Robert W. , Malhotra Anil K. 
Published: June 2024

AbstractFunctional impairments contribute to poor quality of life in schizophrenia spectrum disorders (SSD). We sought to (Objective I) define the main functional phenotypes in SSD, then (Objective II) identify key biopsychosocial correlates, emphasizing interpretable data-driven methods. Objective I was tested on independent samples: Dataset I (N = 282) and Dataset II (N = 317), with SSD participants who underwent assessment of multiple functioning areas. Participants were clustered based on functioning. Objective II was evaluated in Dataset I by identifying key features for classifying functional phenotype clusters from among 65 sociodemographic, psychological, clinical, cognitive, and brain volume measures. Findings were replicated across latent discriminant analyses (LDA) and one-vs.-rest binomial regularized regressions to identify key predictors. We identified three clusters of participants in each dataset, demonstrating replicable functional phenotypes: Cluster 1—poor functioning across domains; Cluster 2—impaired Role Functioning, but partially preserved Independent and Social Functioning; Cluster 3—good functioning across domains. Key correlates were Avolition, anhedonia, left hippocampal volume, and measures of emotional intelligence and subjective social experience. Avolition appeared more closely tied to role functioning, and anhedonia to independent and social functioning. Thus, we found three replicable functional phenotypes with evidence that recovery may not be uniform across domains. Avolition and anhedonia were both critical but played different roles for different functional domains. It may be important to identify critical functional areas for individual patients and target interventions accordingly.
Confinement of Dirac fermions in gapped graphene
Authors: Pakdel Fatemeh , Maleki Mohammad Ali 
Published: June 2024

AbstractWe explore the electronic transport characteristics of gapped graphene subjected to a perpendicular magnetic field and scalar potential barriers. Employing the Dirac–Weyl Hamiltonian and the transfer-matrix method, we calculate the transmission and conductance of the system. Our investigation delves into the impact of the energy, the gap energy parameter ($$\Delta $$
Δ
) and the magnetic flux parameters, including the number of magnetic barriers (N), the magnetic field strength (B) and the width of the magnetic barriers. We demonstrate that manipulating energy and total magnetic flux parameters allow precise control over the range of incident angle variation. Moreover, adjusting the tunable parameter $$\Delta $$
Δ
effectively confines quasiparticles within the magnetic system under study. Notably, an increase in N results in a strong wave vector filtering effect. The resonance effects and the peaks in the transmission and conductance versus $$\Delta $$
Δ
are observed for $$N>1$$

N
>
1

. The tunability of the system’s transport properties, capable of being toggled on or off, is demonstrated by adjusting $$\Delta $$
Δ
and B. As $$\Delta $$
Δ
or B increases, we observe suppression of the transmission and conductance beyond critical parameter values.