bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Framework of Regularized Low-Rank Matrix Models for Regression and Classification
Authors: Huang Hsin-Hsiung , Yu Feng , Fan Xing , Zhang Teng 
Published: July 2023

Abstract
While matrix-covariate regression models have been studied in many existing works, classical statistical and computational methods for the analysis of the regression coefficient estimation are highly affected by high dimensional matrix-valued covariates. To address these issues, this paper proposes a framework of matrix-covariate regression models based on a low-rank constraint and an additional regularization term for structured signals, with considerations of models of both continuous and binary responses. We propose an efficient Riemannian-steepest-descent algorithm for regression coefficient estimation. We prove that the consistency of the proposed estimator is in the order of $O(\sqrt{r(q+m)+p}/\sqrt{n})$, where $r$ is the rank, $p\times m$ is the dimension of the coefficient matrix and $p$ is the dimension of the coefficient vector. When the rank $r$ is small, this rate improves over $O(\sqrt{qm+p}/\sqrt{n})$, the consistency of the existing work \citep{li2021double} that does not apply a rank constraint. In addition, we prove that all accumulation points of the iterates have similar estimation errors asymptotically and substantially attaining the minimax rate. We validate the proposed method through a simulated dataset on two-dimensional shape images and two real datasets of brain signals and microscopic leucorrhea images.
Recovery of a wader bird of conservation concern (pied avocet, Recurvirostra avosetta) after wetland restoration: A 17-years study
Authors: Giovacchini Pietro , Battisti Corrado , Martelli Claudio , Stefanini Paolo , Marsili Letizia 
Published: July 2023

Abstract

Waders (Charadriiformes) are birds sensitive to change in water levels in wetlands. In this paper, we report a multi-year trend in abundance of adults, nesting pairs and chicks of a biogeographically isolated population of pied avocet (Recurvirostra avosetta L., Aves, Charadriiformes) localized in a salt-water wetland of central Italy where restoration interventions were carried out in 2009. Our hypothesis is that the actions aimed to regulate water levels have allowed the establishment of a stable local population of this rare species. We used a standardized transect methods to obtain values of abundance during the breeding periods (April-July) along the 2006–2022 time range. Comparing data before and after the interventions, we observed an increasing trend in the abundance following the water regulation interventions leading to the establishment of a stable population. The difference in abundance between before and after the restoration was also evident by controlling for rainfalls. When comparing the effects of wetland restoration with rainfall data, we observed as the former was the main predictor (multiple regression) in determining the abundance of pied avocets. The logistic GLM analysis indicates a threshold of 20 individuals comparing before and after the restoration suggesting as the interventions exceed the threshold for the establishment of a stable population. Pied avocet may be an indicator of restoration effort in salt wetlands, since this wader meets many of the typical criteria requested for a biological indicator.
Hardening the IoT Communication Networks using a Machine Learning Approach based on LSTM and Autoencoder
Authors: Porshegefti Iman Farahi 
Published: July 2023

Abstract
Due to the ever-increasing spread of cyber attacks, exploiting the weak points of Internet of Things sensors with the aim of penetrating data in companies has greatly increased. With the increasing number of things that are connected to the IoT network, cyber attacks are also increasing. On the other hand, deep learning has shown its superiority in the fields of big data and cyber security. Recently, approaches based on deep learning are used more due to the ability to extract and learn deep features. This approach makes it possible to identify known attacks and unknown cyber attacks without the need for manual feature engineering. Therefore, in this paper, an approach called DeepLearning-Method is proposed, which has four main phases. In the first phase, normal and abnormal traffic data are collected and pre-processing operations are performed on these data. The second phase uses an autoencoder to extract the important features of the data. In the third phase, recurrent neural network (LSTM) is used and the normal or malicious behavior of IoT things is predicted. Finally, in the fourth phase, the operation of securing communication between things is performed based on the prediction model. The simulation results showed that the DeepLearning-Method approach in terms of PDR (higher than 8 and 12%), PLR (higher than 10 and 13%), DR (less than 8, and 11%) FP (higher than 10, and 13%) and FN (lower than 12, and 14%) outperform two related approaches, namely VCDL, and CNN-LSTM respectively.
Aqueous Phosphate Detection using Eu(acac)3
Authors: Anderson Benjamin , Gese Natalie , Nawani Pranav , Eilers Hergen 
Published: July 2023

Abstract
Currently, the majority of phosphate-sensitive phosphors reported in literature are metal- based complexes that require complicated and expensive synthesis to prepare. In this study we investigate the phosphate detecting capabilities of an inexpensive off-the-shelf phosphor: Eu(acac)3. We characterize its phosphate sensitivity as a function of sensor concentration and find that the quenching coefficient is inversely proportional to sensor concentration. This results in the limit-of-detection scaling linearly with sensor concentration. We determine its concentration-independent sensitivity to be 1.558 ± 0.012, which results in our lowest sensor concentration (44 μM) having a limit-of-detection of 3.39 ± 0.68 μM. We also find that for phosphate concentrations less than the sensor concentration, the fluorescence intensity ratio behaves linearly, but transitions to a non-linear functionality as the phosphate concentration exceeds the sensor concentration.
Utility of the second-generation curcumin analogue RL71 in canine histiocytic sarcoma
Authors: Kelly Barnaby , Thamm Douglas , Rosengren Rhonda J. 
Published: July 2023

Abstract
Canine histiocytic sarcoma is an aggressive cancer, with a high rate of metastasis. Thus, novel therapeutic approaches are needed. Synthetic analogues of curcumin have elicited potent anti-cancer activity in multiple in vitro and in vivo models of human cancer. Furthermore, the compound 3,5-bis(3,4,5-trimethoxybenzylidene)-1-methylpiperidine-4-one (RL71) has recently exhibited potent cell cycle arrest and apoptotic induction in a canine osteosarcoma cell line. To determine its potency in canine histiocytic sarcoma cells, cell viability of DH82 and Nike cells was measured using the sulforhodamine B assay. Flow cytometry was then used to analyse both cell cycle distribution and apoptosis. Of the five curcumin analogues examined, RL71, had the highest potency with EC50 values of 0.66 ± 0.057 µM and 0.79 ± 0.13 µM in the DH82 and Nike cell lines, respectively. Furthermore, RL71 at the 1x EC50 concentration increased G2/M cell cycle arrest 2-fold, and at the 2x EC50 concentration increased the number of apoptotic cells 4-fold. These findings are consistent with previous work using RL71 in both canine and human cancer cell lines. Future research should be directed on time-dependent changes, and mechanistic investigation in greater detail to elucidate RL71 mechanisms of action.
Physiological response of diverse rice genotypes to simulated aerobic, and nitrogen deficiency conditions under hydroponic culture
Authors: Meena Hari Singh , Sathee Lekshmy 
Published: July 2023

Abstract

Direct sown, aerobic cultivation of rice is becoming increasingly popular among farmers due to the impending water and labour shortage. Previous reports suggest a decrease in nitrogen use efficiency of aerobic rice crop in comparison to irrigated rice. Moreover, aerobic rice soils have high ratio of nitrate: ammonical nitrogen in comparison to submerged paddies. Thirty rice genotypes were screened under hydroponic conditions using two nitrogen treatments: T1 with high nitrogen (HN) in the form of NO3−and T2 with low nitrogen (LN). Relative biomass accumulation, total chlorophyll, and carotenoid content were used to evaluate N deficiency tolerance of the rice seedlings. Results showed a range in total chlorophyll content from 0.87 to 2.57 mg g− 1FW in the HN treatment and 0.80 to 2.12 mg g− 1FW in the LN treatment, with total biomass ranging from 0.05 to 0.46g in HN and 0.013 to 0.089g in LN treated plants. Based on relative biomass accumulation and total chlorophyll content, two top-performing rice genotypes (Vandana and APO) and one poor-performing genotype (RBPIO-226) were identified. These selected genotypes were then grown for one month under hydroponic conditions in three nitrogen treatments: T1 HN, T2 high ammonium (HA) (NH4+), and T3 LN. Genotypes Vandana and APO exhibited better root growth and increased density and length of root hairs in both HN and HA in comparison to RBPIO-226., and The detailed physiological analysis suggested a contrasting responses to nitrogen deficiency were in the selected genotypes.
Industry payments to pediatricians in the United States between 2013 and 2021
Authors: Murayama Anju 
Published: July 2023

Abstract
Objectives
To evaluate the extent of research and non-research industry payments to pediatricians over a nine-year period between 2013 and 2021.
Study design
Using the general and research payments from the Open Payments Database between 2013 and 2021, this cross-sectional analysis examined the industry payments made to physicians whose primary specialty was pediatrics in the National Plan and Provider Enumeration System. Descriptive analyses were performed for the payment data overall and other pediatrician demographics. Trends in industry payments were analyzed by generalized estimating equation models.
Results
Of 99,764 pediatricians, 59,984 (60.1%) received a total of $297 million (12.8%) in general and $2 billion in associated research payments over the nine years. Median nine-year per-physician payments were $288 (interquartile range [IQR]: $88-958) in general and $65,343 (IQR: $16,763-255,208) in associated research payments. Pediatric allergists and immunologists received the highest per-physician median payments ($1,565), followed by pediatric endocrinologists ($1,368) and pediatric transplant hepatologists ($1,006). Male pediatricians were 1.06 (95% confidence interval [CI]: 1.05-1.09, p<0.001), 1.92 (95% CI: 1.73-2.13, p<0.001), and 1.56 (95% CI: 1.49-1.65, p<0.001) times more likely to receive general, direct research, and associated research payments than females, respectively. The number of pediatricians receiving general payments annually decreased by 1.5% (95% CI: -1.7% to -1.4%, p<0.001).
Conclusions
Most pediatricians received relatively small amounts of general payments and the number of pediatricians receiving the payments decreased annually.
Estimation of glacier dynamics of the major glaciers of Bhutan using geospatial techniques
Authors: Thongley Thongley , Thakur Praveen K. , Khajuria Varun , Bhattarai Neharika , Choden Kuenzang , Chokila Chokila 
Published: July 2023

Abstract

The purpose of this study was to determine the glacier displacement, velocity, and thickness of seven major glaciers of Bhutan and predicted potential glacier lake formation site with its depth. We named the glacier identification (ID) number 1–7 for seven glaciers. From the study, the glacier velocity between the central trunk and snout saw rapid fluctuations in 1976–1978 with an average uncertainty velocity of ± 27.10 m/year and a decreasing velocity trend. The year 2013–2014 has the lowest uncertainty in glacier velocity, with a value of ±1.24 m/year. The glacier velocity progressively increases from the snout to the main central trunk for all the glaciers with a value of 0 to 98.63 m/year. The glacier with the highest average velocity is glacier ID 5, which has a velocity of 25.58 m/year. From 2000 and 2022, all of the glaciers’ thicknesses significantly decreased from 0 to 468.2 m. The thickness of glacier ID 6 was lowered by −192.3 ± 1.99 m, making it the highest among the seven glaciers. In the future, a glacier lake is predicted to form at the base of each glacier. Glacier ID 6 is predicted to form the largest lake with a surface area of 2.572 km2 and a depth of 208.5 m.
The machine learning and geostatistical approach for assessment of arsenic contamination levels using physicochemical properties of water
Authors: Chattopadhyay Arghya , Singh Anand Prakash , Kumar Siddharth , Pati Jayadeep , Rakshit Amitava 
Published: July 2023

Abstract
Arsenic contamination in groundwater due to natural or anthropogenic sources is responsible for carcinogenic and non-carcinogenic risks to humans and the ecosystem. The physicochemical properties of groundwater in the study area were determined in the laboratory using the samples collected across the Varanasi region of Uttar Pradesh, India. This paper analyses the physicochemical properties of water using machine learning, descriptive statistics, geostatistical and spatial analysis. Pearson correlation was used for feature selection and highly correlated features were selected for model creation. Hydrochemical facies of the study area were analyzed and the hyperparameters of machine learning models, i.e., multilayer perceptron, random forest (RF), naïve Bayes, and decision tree were optimized before training and testing the groundwater samples as high (1) or low (0) arsenic contamination levels based on the WHO 10 μg/L guideline value. The overall performance of the models was compared based on accuracy, sensitivity, and specificity value. Among all models, the RF algorithm outclasses other classifiers, as it has a high accuracy of 92.30%, a sensitivity of 100%, and a specificity of 75%. The accuracy result was compared to prior research, and the machine learning model may be used to continually monitor the amount of arsenic pollution in groundwater.
Anti-gout and Urate-lowering Potentials of Curcumin: A Review from
Bench to Beside
Authors: Jafari-Nozad Amir Masoud , Jafari Amirsajad , Yousefi Saman , Bakhshi Hasan , Farkhondeh Tahereh , Samarghandian Saeed 
Published: July 2023

Background:
Gouty arthritis is a complex form of inflammatory arthritis, triggered
by the sedimentation of monosodium urate crystals in periarticular tissues, synovial
joints, and other sites in the body. Curcumin is a natural polyphenol compound, isolated
from the rhizome of the plant Curcuma longa, possessing countless physiological
features, including antioxidant, anti-inflammatory, and anti-rheumatic qualities.

Objective:
This study aimed to discuss the beneficial impacts of curcumin and its mechanism
in treating gout disease.

Methods:
Ten English and Persian databases were used to conduct a thorough literature
search. Studies examining the anti-gouty arthritis effects of curcumin and meeting the inclusion
criteria were included.

Results:
According to the studies, curcumin has shown xanthine oxidase and urate transporter-
1 inhibitory properties, uric acid inhibitory characteristics, and antioxidant and anti-
inflammatory effects. However, some articles found no prominent reduction in uric
acid levels.

Conclusion:
In this review, we emphasized the potency of curcumin and its compounds
against gouty arthritis. Despite the potency, we suggest an additional well-designed evaluation
of curcumin, before its therapeutic effectiveness is completely approved as an antigouty
arthritis agent.
Genetic Variants Impacting Angiogenesis Signaling Pathways in Glioblastoma Multiforme: A Systematic Review of Mutations and Polymorphisms
Authors: Eliyasi Dashtaki Masoumeh , Karimi Elham , Ghasemi Sorayya 
Published: July 2023

Background:
Several signaling pathways are involved in the process of
angiogenesis, which is one of the most important hallmarks of glioblastoma multiforme
(GBM). Identifying related gene variants can help researchers work out what causes
anti-angiogenesis drug resistance.

Objective:
The goal of this systematic analysis was to identify all mutations and
polymorphisms involved in angiogenesis pathways in GBM and their impact on clinical
outcomes.

Methods:
The keywords include glioblastoma, angiogenesis, signaling pathway,
mutation, polymorphism, and related terms used to search ISI, PubMed, and Scopus for
relevant articles published up to January 2022. The PRISMA protocol was used to
conduct our systematic review. The related articles were taken into consideration. The
risk of bias in the associated articles was surveyed, as well as the article scoring. Two
authors collaborated on data extraction.

Results:
The inclusion criteria were included in 32 articles out of a total of 787 articles.
VEGF, HIF1a, EGFR, PI3K, and MAPK are the pathways that have been studied the
most. IDH1, VEGF, VEGFR, EGFR, and HIF1a are the genes with the highest frequency
of mutations or polymorphisms.

Conclusion:
In conclusion, this study found that angiogenesis in primary or recurrent
GBM is linked to gene changes in eleven signaling pathways. However, some of these
gene mutations have been researched numerous times in relation to angiogenesis, while
others have only been studied once. Understanding these changes will help us employ
combination therapies more effectively for GBM patients' survival and personal
medicine.
Different Patterns of Locus Coeruleus MRI Alteration in Alzheimer’s and
Dementia with Lewy Bodies
Authors: Galgani Alessandro , Palermo Giovanni , Lombardo Francesco , Martini Nicola , Bastiani Luca , Vergallo Andrea , Tommasini Luca , Bellini Gabriele , Baldacci Filippo , Frosini Daniela , Tognoni Gloria , Gesi Marco , Cademartiri Filippo , Fornai Francesco , Pavese Nicola , Ceravolo Roberto , Giorgi Filippo Sean 
Published: July 2023

Background:
The integrity of Locus Coeruleus can be evaluated in vivo using specific
Magnetic Resonance Imaging sequences. While this nucleus has been shown to be degenerated both in
post-mortem and in vivo studies in Alzheimer’s Disease, for other neurodegenerative dementias such
as Dementia with Lewy Bodies this has only been shown ex-vivo.

Objective:
To evaluate the integrity of the Locus Coeruleus through Magnetic Resonance Imaging in
patients suffering from Dementia with Lewy Bodies and explore the possible differences with the Locus
Coeruleus alterations occurring in Alzheimer’s Dementia.

Methods:
Eleven patients with Dementia with Lewy Bodies and 35 with Alzheimer’s Dementia were
recruited and underwent Locus Coeruleus Magnetic Resonance Imaging, along with 52 cognitively
intact, age-matched controls. Images were analyzed applying an already developed template-based
approach; Locus Coeruleus signal was expressed through the Locus Coeruleus Contrast Ratio parameter,
and a locoregional analysis was performed.

Results:
Both groups of patients showed significantly lower values of Locus Coeruleus Contrast Ratio
when compared to controls. A different pattern of spatial involvement was found; patients affected by
Dementia with Lewy bodies showed global and bilateral involvement of the Locus Coeruleus, whereas
the alterations in Alzheimer’s Dementia patients were more likely to be localized in the rostral part of
the left nucleus.

Conclusions:
Magnetic Resonance Imaging successfully detects widespread Locus Coeruleus degeneration
in patients suffering from Dementia with Lewy Bodies. Further studies, in larger cohorts and in
earlier stages of the disease, are needed to better disclose the potential diagnostic and prognostic role
of this neuroradiological tool.
Epigenetics of Autism Spectrum Disorders: A Multi-level Analysis
Combining Epi-signature, Age Acceleration, Epigenetic Drift and Rare
Epivariations Using Public Datasets
Authors: Davide Gentilini , Rebecca Cavagnola , Irene Possenti , Luciano Calzari , Francesco Ranucci , Marta Nola , Miriam Olivola , Natascia Brondino , Pierluigi Politi 
Published: July 2023

Background:
Epigenetics of Autism Spectrum Disorders (ASD) is still an understudied
field. The majority of the studies on the topic used an approach based on mere classification of cases
and controls.

Objective:
The present study aimed at providing a multi-level approach in which different types of
epigenetic analysis (epigenetic drift, age acceleration) are combined.

Methods:
We used publicly available datasets from blood (n = 3) and brain tissues (n = 3), separately.
Firstly, we evaluated for each dataset and meta-analyzed the differential methylation profile between cases
and controls. Secondly, we analyzed age acceleration, epigenetic drift and rare epigenetic variations.

Results:
We observed a significant epi-signature of ASD in blood but not in brain specimens. We did
not observe significant age acceleration in ASD, while epigenetic drift was significantly higher compared
to controls. We reported the presence of significant rare epigenetic variations in 41 genes, 35 of
which were never associated with ASD. Almost all genes were involved in pathways linked to ASD
etiopathogenesis (i.e., neuronal development, mitochondrial metabolism, lipid biosynthesis and antigen
presentation).

Conclusion:
Our data support the hypothesis of the use of blood epi-signature as a potential tool for
diagnosis and prognosis of ASD. The presence of an enhanced epigenetic drift, especially in brain,
which is linked to cellular replication, may suggest that alteration in epigenetics may occur at a very
early developmental stage (i.e., fetal) when neuronal replication is still high.
The Prospects of Phytomedicines and Nanomedicines to Treat Leishmaniasis:
A Comprehensive Review
Authors: Swami Rajan , Aggarwal Keshav 
Published: July 2023

Abstract:
The global shift in lifestyle has prompted health agencies to redirect their focus from
poverty-related diseases to the emergence of lifestyle diseases prevalent in privileged regions. As
a result, these diseases have been labeled as "neglected diseases," receiving limited research attention,
funding, and resources. Neglected Tropical Diseases (NTDs) encompass a diverse group of
vector-borne protozoal diseases that are prevalent in tropical areas worldwide. Among these NTDs
is leishmaniasis, a disease that affects populations globally and manifests as skin abnormalities,
internal organ involvement, and mucous-related abnormalities. Due to the lack of effective and
safe medicines and vaccines, it is crucial to explore alternative resources. Phytomedicine, which
comprises therapeutic herbal constituents with anti-leishmanial properties, holds promise but is
limited by its poor physicochemical properties. The emerging field of nanomedicine has shown
remarkable potential in revitalizing the anti-leishmanial efficacy of these phytoconstituents. In this
investigation, we aim to highlight and discuss key plant constituents in combination with nanotechnology
that have been explored in the fight against leishmaniasis.