bluuebunny/crossref_metadata_2025_split huggingface dataset:
The formation of the granite complex in the Wuhe Mari area of Bayankala Mountain on the northeastern margin of the Tibetan Plateau: constraints from lithogeochemistry and U–Pb zircon dating
Authors: Tian Guanghao , Zong Yanbing , Xue Yanping 
Published: May 2024

AbstractThe granite complex in the Wuhe Mari area lies in the tectonic magma belt of the North Bayankala Mountains on the northeastern edge of the Qinghai-Tibet Plateau. It is located in the middle of the first member of the Changmahe Formation of the Early and Middle Triassic Bayankala Mountains Group. This article presents a systematic study of the petrological and geochemical characteristics and chronology of porphyrite granilite, monzogranite, porphyritic monzogranite and diorite in the granite complex in Wuhe Mari area. The genetic relationship between these four rock types as well as the type of source area and tectonic environment are clarified. Zircon LA-ICP-MS-U–Pb dating shows that the porphyritic granodiorite, monzogranite, porphyritic monzogranite and diorite have ages of 221.0 ± 2.7 Ma, 219.8 ± 3.0 Ma, 216.6 ± 4.3 Ma and 213.4 ± 1.6 Ma, respectively. The petrogeochemical characteristics show that the porphyritic granodiorite, monzogranite and porphyritic monzogranite in the granite complex have the characteristics of high Si, Al2O3, K, low Na, Ca, Mg, Fe, K, Rb and Th—Content in the strongly incompatible elements of the granite complex have three, the relative loss of Ba, Ta, Nb, Ce, slight enrichment or no anomaly, the loss of Sm, Hf and Zr, the strong loss of Y and Yb and the aluminum saturation index < 1.1. Combined with the geological data all three samples belong to Type I granite formed in the same collision environment. Based on the lithogeochemical characteristics and the results of U–Pb chronology, these three rock formations are believed to have been formed by a series of magmatic melting events and are the result of homologous magma crystallization and differentiation. The diorite forms in an intraplate tectonic setting as a result of the evolution of co-collision granite to intraplate granite.
Innovative smart colorimetric sensor for nitrite detection in poultry packaging
Authors: Paramparambath Sreedevi , Geetha Mithra , Alahzm Abdulrhman Mohammed , Al-Ejji Maryam , Sadasivuni Kishor Kumar 
Published: May 2024

AbstractDetecting nitrite ions is crucial for environmental and health monitoring, given the prevalence of nitrites in water sources and meat. Colorimetric methods provide a cost-effective, rapid, and straightforward means of nitrite ion detection. This study focuses on monitoring nitrite levels in meat to ensure its safe consumption. Three different dyes—Bromophenol blue (B.P.B.), Eriochrome Black T (E.B.T.), and Potassium permanganate (KMnO4)—were employed to identify and quantify nitrite ions under various experimental conditions such as variable pH, temperature, concentration, and selectivity. UV–visible studies revealed low average detection limits of 0.2054 mM for E.B.T. dye, 0.218 mM for B.P.B., and 3.317 mM for KMnO4 dye solution. An Internet of Things (IoT)-based, portable, and cost-effective device for colorimetric nitrite ion detection was also developed. This innovative system integrates a connected detection mechanism within a smart device, enabling swift acquisition of red, green, and blue (RGB) readings for real-time applications in nitrite ion detection. This development has the potential to offer an economical, precise, and easily transportable method for monitoring nitrite ions, presenting a promising approach to creating accessible tools in this field.
Heterologous expression of the maize transcription factor ZmbHLH36 enhances abiotic stress tolerance in Arabidopsis
Authors: Dai Zhenggang , Zhao Keyong , Zheng Dengyu , Guo Siyu , Zou Huawen , Wu Zhongyi , Zhang Chun 
Published: May 2024

AbstractBasic helix-loop-helix (bHLH) transcription factors are widely distributed in eukaryotes, and in plants, they regulate many biological processes, such as cell differentiation, development, metabolism, and stress responses. Few studies have focused on the roles of bHLH transcription factors in regulating growth, development, and stress responses in maize (Zea mays), even though such information would greatly benefit maize breeding programs. In this study, we cloned the maize transcription factor gene ZmbHLH36 (Gene ID: 100193615, GRMZM2G008691). ZmbHLH36 possesses conserved domains characteristic of the bHLH family. RT-qPCR analysis revealed that ZmbHLH36 was expressed at the highest level in maize roots and exhibited different expression patterns under various abiotic stress conditions. Transgenic Arabidopsis (Arabidopsis thaliana) plants heterologously expressing ZmbHLH36 had significantly longer roots than the corresponding non-transgenic plants under 0.1 and 0.15 mol L−1 NaCl treatment as well as 0.2 mol L−1 mannitol treatment. Phenotypic analysis of soil-grown plants under stress showed that transgenic Arabidopsis plants harboring ZmbHLH36 exhibited significantly enhanced drought tolerance and salt tolerance compared to the corresponding non-transgenic plants. Malondialdehyde contents were lower and peroxidase activity was higher in ZmbHLH36-expressing Arabidopsis plants than in the corresponding non-transgenic plants. ZmbHLH36 localized to the nucleus when expressed in maize protoplasts. This study provides a systematic analysis of the effects of ZmbHLH36 on root growth, development, and stress responses in transgenic Arabidopsis, laying a foundation for further analysis of its roles and molecular mechanisms in maize.
Widespread and active piezotolerant microorganisms mediate phenolic compound degradation under high hydrostatic pressure in hadal trenches
Authors: Ling Hao , Lv Yongxin , Zhang Yu , Zhou Ning-Yi , Xu Ying 
Published: May 2024

AbstractPhenolic compounds, as well as other aromatic compounds, have been reported to be abundant in hadal trenches. Although high-throughput sequencing studies have hinted at the potential of hadal microbes to degrade these compounds, direct microbiological, genetic and biochemical evidence under in situ pressures remain absent. Here, a microbial consortium and a pure culture of Pseudomonas, newly isolated from Mariana Trench sediments, efficiently degraded phenol under pressures up to 70 and 60 MPa, respectively, with concomitant increase in biomass. By analyzing a high-pressure (70 MPa) culture metatranscriptome, not only was the entire range of metabolic processes under high pressure generated, but also genes encoding complete phenol degradation via ortho- and meta-cleavage pathways were revealed. The isolate of Pseudomonas also contained genes encoding the complete degradation pathway. Six transcribed genes (dmpKLMNOPsed) were functionally identified to encode a multicomponent hydroxylase catalyzing the hydroxylation of phenol and its methylated derivatives by heterogeneous expression. In addition, key catabolic genes identified in the metatranscriptome of the high-pressure cultures and genomes of bacterial isolates were found to be all widely distributed in 22 published hadal microbial metagenomes. At microbiological, genetic, bioinformatics, and biochemical levels, this study found that microorganisms widely found in hadal trenches were able to effectively drive phenolic compound degradation under high hydrostatic pressures. This information will bridge a knowledge gap concerning the microbial aromatics degradation within hadal trenches.
Nanoformulation of dasatinib cannot overcome therapy resistance of pancreatic cancer cells with low LYN kinase expression
Authors: Kaul Marilyn , Sanin Ahmed Y. , Shi Wenjie , Janiak Christoph , Kahlert Ulf D. 
Published: May 2024

Abstract
Background
Pancreatic ductal adenocarcinoma (PDAC) is one of the most difficult to treat tumors. The Src (sarcoma) inhibitor dasatinib (DASA) has shown promising efficacy in preclinical studies of PDAC. However, clinical confirmation could not be achieved. Overall, our aim was to deliver arguments for the possible reinitiating clinical testing of this compound in a biomarker-stratifying therapy trial for PDAC patients. We tested if the nanofunctionalization of DASA can increase the drug efficacy and whether certain Src members can function as clinical predictive biomarkers.

Methods
Methods include manufacturing of poly(vinyl alcohol) stabilized gold nanoparticles and their drug loading, dynamic light scattering, transmission electron microscopy, thermogravimetric analysis, Zeta potential measurement, sterile human cell culture, cell growth quantification, accessing and evaluating transcriptome and clinical data from molecular tumor dataset TCGA, as well as various statistical analyses.

Results
We generated homo-dispersed nanofunctionalized DASA as an AuNP@PVA-DASA conjugate. The composite did not enhance the anti-growth effect of DASA on PDAC cell lines. The cell model with high LYN expression showed the strongest response to the therapy. We confirm deregulated Src kinetome activity as a prevalent feature of PDAC by revealing mRNA levels associated with higher malignancy grade of tumors. BLK (B lymphocyte kinase) expression predicts shorter overall survival of diabetic PDAC patients.

Conclusions
Nanofunctionalization of DASA needs further improvement to overcome the therapy resistance of PDAC. LYN mRNA is augmented in tumors with higher malignancy and can serve as a predictive biomarker for the therapy resistance of PDAC cells against DASA. Studying the biological roles of BLK might help to identify underlying molecular mechanisms associated with PDAC in diabetic patients.
Unlocking Innovations: Exploring the Role of Kefir in Product Development
Authors: Manjunatha Vishal , Bhattacharjee Disha , Flores Clara 
Published: May 2024

Abstract
Purpose of Review
The current review explores kefir's role in product development, investigating production methods, microbial composition, and health benefits across traditional and industrial processes. Variations in fermentation techniques and microbial diversity, highlighting milk and water kefir's potential as functional foods catering to diverse consumer preferences, have been evaluated.

Recent Findings
Recent literature underscores the diverse microbial community in kefir grains, which contributes to texture, flavor, and biological properties, including antimicrobial, anticarcinogenic, anti-inflammatory, and antioxidant effects. Kefir-based products are diverse and include traditional fermented milk drinks and innovative formulations like kefir cheese and powdered starter cultures, with emerging techniques such as spray drying resolving issues in shelf life and storage stability.

Summary
The beneficial aspect of Kefir makes it a promising avenue for innovation in product development by exploiting fermentation matrices and augmenting it with vitamins, minerals, and probiotics thereby enhancing its functional properties for gut health and diverse diet. Emerging technologies have been critical in tackling the challenges of shelf life and packaging costs. Continuing research and innovation addresses kefir's potential as a functional food, catering to the growing demand for health-oriented and sustainable products.
Photodegradation of cannabidiol (CBD) and Δ9-THC in cannabis plant material
Authors: Bini Arianna , Salerno Sofia , Protti Stefano , Pollastro Federica , Profumo Antonella , Morini Luca , Merli Daniele 
Published: May 2024

AbstractΔ9-THC, the psychotropic cannabinoid in Cannabis sativa L., for many years has been the focus of all the pharmacological attention as the main promising principle of the plant. Recently, however, cannabidiol (CBD) has brought a sudden change in the scenario, exponentially increasing the interest in pharmacology as the main non-psychotropic cannabinoid with potential therapeutic, cosmetical and clinical applications. Although the reactivity of CBD and Δ9-THC has been considered, little attention has been paid to the possible photodegradation of these cannabinoids in the vegetal matrix and the data available in the literature are, in some cases, contradictory. The aim of the present work is to provide a characterization of the photochemical behaviour of CBD and Δ9-THC in three cannabis chemotypes, namely I (Δ9-THC 2.50%w/w), II (CBD:Δ9-THC 5.82%w/w:3.19%w/w) and III (CBD 3.02%w/w).
Graphical abstract
Physico-chemical and correlation study of ground drinking water of Tonk district of Rajasthan (India)
Authors: Bairwa Avinash Kumar , Gupta Ashok Kumar , Mishra Vivek , Gupta Kalpana 
Published: May 2024

AbstractThis study investigates the qualitative analysis of groundwater obtained from the Tonk district of Rajasthan to determine its suitability as potable water. Around 321 ground drinking water samples were collected and analysed for various physico-chemical characteristics including pH, electrical conductivity (EC), total dissolved solid (TDS), HCO3−, F−, Cl−, SO42−, NO3−, Ca2+, Mg2+, total hardness (TH) and total alkalinity (TA) in Tonk district of Rajasthan (India). The groundwater in the region is a little alkaline and hard. The EC during the pre-monsoon period varies from 434 to 7271 µS/cm, while in the post-monsoon period, it ranges from 356 to 8871 µS/cm. TDS of samples ranged between 285 to 5090 mg/L in the pre-monsoon and 247 to 6140 mg/L post-monsoon seasons. Few samples have EC, TDS, and TH levels higher than the permissible limit, restricts its usage as drinking water. The water quality in the study area varies from soft-fresh to hard-brackish in both pre- and post-monsoon seasons. Anion concentrations in analysed samples followed the order: HCO3− > Cl− > SO42− > NO3− > F−. Notably, the Water quality index (WQI) results for all collected samples fall within the range of 4.55–96.83, indicating they are considered safe and suitable for drinking purposes. Water quality data was analysed by correlation study and geochemical processes. A strong correlation between the Water Quality Index (WQI) and fluoride levels is found in both seasons. The geochemical analysis shows that most of the samples are in the rock water interaction zone, with some in the evaporation zone due to the high content of chloride ions. The groundwater chemistry appears to be influenced by rock-water interaction and evaporation sedimentation. The molar ratio of Ca2+/Mg2+ denotes calcite dissolution and silicate weathering revealing enrichment of Ca2+ and HCO3− ions in aquifer.
Complex Pythagorean Normal Interval-Valued Fuzzy Aggregation Operators for Solving Medical Diagnosis Problem
Authors: Palanikumar Murugan , Kausar Nasreen , Pamucar Dragan , Khan Salma , Shah Mohd Asif 
Published: May 2024

AbstractThis paper presents a new methodology for solving multiple-attribute decision-making problems (MADMs) using a complex Pythagorean normal interval-valued fuzzy set (CPNIVFS), which is an extended concept of a complex Pythagorean fuzzy set. Four types of different aggregating operations (AOs), including CPNIVF weighted averaging (CPNIVFWA), CPNIVF weighted geometric (CPNIVFWG), generalized CPNIVFWA (CGPNIVFWA), and generalized CPNIVFWG (CGPNIVFWG), are discussed. The scoring function, accuracy function, and operational laws of the CPNIVFS are defined. Algebraic structures, such as associative, distributive, idempotent, bounded, commutativity, and monotonicity properties, are also shown to be satisfied by complex Pythagorean normal interval-valued fuzzy numbers. Furthermore, an algorithm is proposed to solve the MADM problems based on the defined AOs. The proposed approach is then used for a medical diagnosis problem about brain tumors because computer science and machine tool technology are among the most important components of brain tumor research. The five types of brain tumors diagnosed in these patients are gliomas, meningiomas, metastases, embryonal tumors, and ependymomas. Several types of treatments are available, which are often combined as part of an overall treatment plan. Brain tumors can be treated in various ways, including surgery, radiation therapy, chemotherapy, immunotherapy, and clinical trials. Based on the comparisons and options gathered, the most suitable treatment can be chosen. In this regard, it is evident that the value of the integer $$\Game $$
⅁
plays a significant role in determining the model. The candidate models under consideration can be validated by comparing them with the previously proposed ones. The proposed technique is compared with the existing method to demonstrate its superiority and validity, and the results conclude that the former is more reliable and effective than the latter. Finally, the criteria are evaluated by expert assessments to determine the most appropriate options.
Deriving the Distribution and Exploring the Utility of Partial $$R^2$$ in the Era of Big Data
Authors: Hawk Gregory S. , Thompson Katherine L. 
Published: May 2024

AbstractA central goal in the world of statistics and data science is the construction of linear regression models for continuous variables of interest. Often, our objective is to examine the impact of one or more explanatory variables, after adjusting for demographic covariates or other known/relevant factor(s). While the traditional approach is to use hypothesis testing to determine statistical significance, the p-values obtained are heavily dependent on sample size. This is particularly problematic for large datasets or “overpowered” studies, where even the tiniest of effects will appear to be highly significant. Computing capabilities and cloud-enhanced data sharing have revolutionized the way we use data worldwide, from healthcare and investments to manufacturing and retail. While machine learning and artificial intelligence are improving predictive analytics, we need better statistical inference to help understand and translate our models into meaningful and actionable insights. The coefficient of partial determination (or partial$$\varvec{R^{2}}$$

R
2

) is widely used in applied science to supplement hypothesis testing, but little work has been done to understand its statistical properties. In this work, we derive the complete distribution of partial $$R^{2}$$

R
2

and perform simulated and real-world data analyses to show the advantages of adding it to your next analysis of Big Data.
Estimation of Blood Pressure by Image-Free, Wearable Ultrasound
Authors: Amado Rey Ana Belen 
Published: May 2024

Abstract
1.28 billion adults worldwide have high pressure, and only 21% of people have it under control. If high blood pressure (BP) is not diagnosed and treated properly, then there is a high risk for cardiovascular diseases, the main cause of mortality. Ultrasound has emerged as a potential medical imaging system to monitor cardiovascular health. It is comfortable, noninvasive, safe, and a very well-established and well-known technology. However, there are currently no commercial single ultrasound systems to directly quantify vascular parameters, without the need for complex imaging algorithms, additional software-based solutions, and high energy demands that limit portable and prolonged measurements. In this paper, we present the steps to design an image-free novel ultrasound device to continuously extract vital parameters, with a focus on BP. Moreover, as the BP waveforms are amplified toward the periphery (i.e., from the aorta to the radial artery), we applied mathematical models and algorithms, specific to the site of measurement, to accurately extract BP. We validated these algorithms in silico, in vitro, and ex vivo, where tissue and artery phantoms help emulate human physiology. In young subjects, an in silico pulse pressure (PP) correlation of 0.978 and a mean difference of (– 2.85 ± 2.57) mmHg at the radial artery were achieved. The ex vivo PP correlation was 0.986, with a mean difference of (1.72 ± 3.29) mmHg. Soon thereafter, in vivo measurements of BP and stiffness, and their correlation analysis will be performed to corroborate the accuracy of the developed proof-of-concept device.
Learning pains: system design, management, and lessons learned using electronic patient reported outcomes in the QUEST study of chronic post-amputation pain
Authors: Iorio Matthew , Legaspi Rumil , Syed Shah Nemath , Hargus Nick 
Published: May 2024

Abstract
Background
Studying pain clinically can be challenging. Typically, studies use paper diaries and measure pain from baseline and some pre-specified study endpoints. Both can lead to inaccuracies if studying on-demand device use. The QUEST study evaluating the safety and effectiveness of the investigational Altius device for treating chronic post-amputation pain (PAP) became, to our knowledge, the first longitudinal study to capture and validate repeated measurements using electronic patient-reported outcomes (ePRO).

Methods
The system was designed to capture pain episodes, device use, pain medication use and prosthetic use in “real-time.” Subjects received an electronic diary (eDiary) during screening and were required to demonstrate compliant reporting, and requisite pain levels to progress towards device implantation. Data were collected and merged with Altius session data and study visit data for 3 Month Primary Endpoint analysis. Compliance data across Device Treatment and End-of-Day Reports were also collected.

Results
eDiary Eligibility pass rate during screening was 82% (410/497 subjects). Subjects generated 1,773,356 datapoints and 197,952 reports throughout QUEST. A total of 14,337 device uses were captured during Randomized Testing, with 77.0% and 82.7% compliant Device-use Reports and End-of-Day Reports captured, respectively. QUEST results are presented elsewhere (clinicaltrials.gov Identifier NCT 00221934).

Conclusions
Neuros and partner vendors developed a unique system to capture accurate, “real-time” pain and treatment data from subjects with chronic PAP, despite health and technical-related challenges. This system provided a robust data set not yet seen in chronic pain literature and could provide a framework for better understanding chronic pain.
Clinical Trial Information ClinicalTrials.gov ID NCT02221934, Registration Date: 2014–08-15.