bluuebunny/crossref_metadata_2025_split huggingface dataset:
Utilizing Stacked Ensemble AI Algorithm for Comprehensive Water Quality Analysis and Health Assessment in Complex Aquatic Systems
Authors: D Muhammad Mahfuzur , T Syed Hamid Hussain Kala , Al-Otaibi Shaha , Khan Ilyas 
Published: March 2024

Abstract

A novel framework, referred to as the Intelligent Mobile Data Collection (MDC) framework, is proposed to enhance data collection efficiency in Internet of Things (IoT) based sensor networks. This framework organizes IoT devices and sensors into clusters based on their geographical proximity or region. Within each cluster, a gateway node is designated to collect and consolidate data from its constituent members before transmitting it to the central MDC. To optimize data collection, the framework employs a learning mechanism known as Frequency-Based Reinforcement Learning (FRL). This technique analyzes data generation patterns, such as time intervals between transmissions, the quantity and type of packets generated, to classify clusters into categories: Frequent, Less Frequent, Rare, and Very Rare. Within FRL, each IoT sensor or device independently trains its local model using Reinforcement Learning (RL) techniques, encompassing states, actions, and rewards. These local models capture the specific behaviors and characteristics of the sensors. Subsequently, IoT sensors transmit their local model parameters to the gateway, where they are aggregated into a global model. This aggregated global model is then disseminated back to the IoT sensors, enabling them to adjust their behavior based on collective insights. Based on the categorized clusters, the framework dynamically adjusts parameters such as Time Division Multiple Access (TDMA) slot allocations, sleep durations for sensors, and the visiting schedule of the MDC. This adaptive approach ensures efficient utilization of network resources while accommodating varying data generation rates and priorities across different clusters. In summary, the proposed Intelligent Mobile Data Collection framework integrates FRL and RL techniques to optimize data collection in IoT sensor networks. By dynamically adapting to changing data generation patterns and cluster characteristics, it enhances overall network performance and resource utilization.
Numerical Computation of Quasi-Periodic Solutions in the Circular Restricted Three-Body Problem Based on Percival's Variational Principle
Authors: Shibayama Mitsuru , Miyazaki Kaito 
Published: March 2024

Abstract

There are various solutions to the circular restricted three-body problem, which is used as a model to describe the movement of spacecraft. One of the most famous solutions is the periodic orbits and quasi-periodic solutions that are located near the equilibrium point on the same line as the main and secondary celestial bodies. These solutions are advantageous as they can help reduce fuel consumption while maintaining the spacecraft's orbit. It is expected that these solutions will be applied in many missions.
In this paper, we will first explain a functional that uses Percival's variational principle to apply an invariant torus to the circular restricted three-body problem. We will then use a method to obtain an approximate quasi-periodic solution by minimizing this functional using the steepest descent method. Next, we will compare the results obtained from the proposed method with the ones obtained by numerically integrating the circular restricted three-body problem. Finally, we will discuss the prospects of these solutions.
An Enhanced Subsampling Technique in Compressive Sensing using Linear Interpolation and Random Measurement Matrix
Authors: Osei-Wusu Franco , Ahene Emmanuel , Muntaka Siddique Abubakr 
Published: March 2024

Abstract
In Compressive Sensing, the incoherence of a measurement matrix during subsampling is a crucial requirement for the accurate reconstruction of a signal. However, such incoherence is only probable and not assured when subsampling is done with the widely used random measurement matrix. The study proposes an enhanced subsampling technique that integrates linear interpolation with the conventional random measurement matrix to provide assured incoherence during subsampling in Compressive Sensing. The experiments show that the proposed technique is less costly computationally and does a faster subsampling of an audio digital signal than when the traditional random measurement matrix is used solely. Additionally, the results demonstrated that the proposed technique outperformed state-of-the-art techniques with respect to the accuracy and speed of the signal reconstruction along with the L1 optimization. This was proven through the use of performance evaluation metrics such as computational complexity, execution time and Mean Square Error.
Effects of various substances on the binding of keratin monomers to S. maltophilia DHHJ cells to induce keratinase production
Authors: Xue Kai , Song XiaoXiao , Zhang Wei , Zhang YunLong , Cao ZhangJun , Zhang XingQun , Zhang ZhongGe 
Published: March 2024

Abstract
Keratin monomers from feathers or produced by gene overexpression can induce S. maltophilia DHHJ to produce keratinase, and there isn`t the capability of several kinds of proteases degrade keratin fragments and cysteine. FITC-labeled keratin was incubated with S. maltophilia DHHJ cells with or without BSA, DNA, ATP and metal ions, and the fluorescence values and the activity of keratinase were measured. BSA competed with keratin for cell binding sites, and in its presence, cells produced less keratinase. DNA did not compete with keratin for cell binding, and cells produced keratinase in normal amounts. Both ATP and metal ions increased the ability of the cells to bind keratin and improve the capacity of the cells to produce keratinase.
Hypoxia causes transcriptional downregulation of protein kinase, anti-apoptotic and DNA repair genes in the hippocampal CA1 region; improved recovery from hypoxia with sevoflurane preconditioning correlates with preserved PKMζ gene expression
Authors: Hou Joan Y. , Allen Kim , Hernández Alejandro I. , Cottrell James E. , Kass Ira S. 
Published: March 2024

Abstract
Sevoflurane preconditioning improves recovery after hypoxia. Hypoxia interferes with protein expression at the translational level, however, its effect on DNA transcription of protein kinase and anti-apoptotic genes is unclear. Hippocampal slices were treated with 4% sevoflurane for 15 min, a 5 min washout, 10 min of hypoxia and 60 min of recovery. Quantitative real-time RT-PCR measured gene expression in the CA1 hippocampal region. The expression of protein kinases, PKCγ (0.22), PKCε (0.38), and PKMζ (0.55) mRNAs and anti-apoptotic, bcl-2 (0.44) and bcl-xl (0.41) mRNAs were reduced 60 min after hypoxia relative to their expression in tissue not subjected to hypoxia (set to1.0). Sevoflurane preconditioning prevented only the downregulation of PKMζ (0.88) mRNA after hypoxia. Pro-apoptotic BAD mRNA was not significantly changed after hypoxia even with sevoflurane preconditioning (0.81, 0.84 vs. 1.0); however, BAD mRNA was increased by sevoflurane in tissue not subjected to hypoxia (1.48). Poly ADP-ribose polymerase 1 (PARP-1), a DNA repair enzyme, was increased by sevoflurane in tissue not subjected to hypoxia (1.23). PARP-1 was reduced in untreated tissue after hypoxia (0.21); sevoflurane did not improve PARP-1 expression after hypoxia (0.27). In conclusion, hypoxia leads to a reduction of certain protein kinase, anti-apoptotic and DNA repair mRNAs, indicating that transcriptional downregulation may lead to neuronal damage. Sevoflurane prevents the downregulation of PKMζ mRNA which correlates with previous studies that found sevoflurane improved neuronal survival after hypoxia. Maintaining transcription of mRNA for critical proteins may provide an important mechanism for reducing neuronal damage after stroke.
An eco-friendly high-pressure biorefinery approach for the recovery of valuable compounds from cashew nut testa shell (Anacardium occidentale L.)
Authors: Silva Jonas , Torres Talyta Mayara Silva , Ribeiro Paulo Riceli Vasconcelos , Brito Edy Sousa , Ferreira Sandra Regina Salvador 
Published: March 2024

Abstract
Abstract
The cashew agroindustry generates substantial by-products that are often improperly used. Cashew nut testa shell (CNTS) has attracted interest due to its elevated fatty acid contents and phenolic compounds, raising the relevance of environmentally friendly extraction techniques for its recovery. CNTS was submitted to high-pressure (Supercritical Fluid Extraction – SFE; Pressurized Liquid Extraction – PLE; and Subcritical Water Extraction – SWE) methods compared to traditional low-pressure (Soxhlet and maceration) techniques. Supercritical fluid extraction with CO2 as solvent was selective to recover fatty acids, such as palmitate (12.63 mg g-1), stearic (26.65 mg g-1), and oleic ( 25.61 mg g-1) acids, as well as behenic (46.42 mg g-1) and erucic (28.00 mg g-1), quantified by GC-MS. In contrast, the ethanolic and aqueous extracts, by pressurized liquid and subcritical water extraction, presented polyphenols like catechin, epicatechin, and procyanidin identified by UPLC-PDA-ESI-QDa, known for their high antioxidant potential and biological activities. In addition, fractions of proteins and sugars were also recovered. Considering the different compounds in the raw material, sequential extraction routes were conducted to fractionate the CNTS and provide different products from an underestimated raw material, a novelty that increased the value of the cashew processing chain.
F°Low : EM goes FAIR. A novel database software to track with high accuracy the journey of a biological sample towards electron microscopy analysis.
Authors: Heiligenstein Xavier , Belle Martin 
Published: March 2024

Abstract
Electron microscopy (EM) plays a crucial role in biological research, yet its widespread adoption is hindered by the lack of standardized protocols and efficient workflow management. This study addresses this challenge by introducing F°Low, a novel software solution designed to streamline the tracking and management of individual experiments in EM sample preparation. We highlight its focus on project management, sample tracking, and protocol refinement. F°Low prioritizes adherence to FAIR principles and facilitates knowledge transmission by providing a user-friendly interface for experiment creation and management. By standardizing the tracking process and promoting protocol improvement from the outset, F°Low aims to transmit EM expertise and enhance efficiency in biological research.
Analysis of the factors influencing willingness to pay and payout level for watershed eco-compensation of the Huangbai river basin
Authors: Junlin Ren , Xiao Bie , Xinyue Li , Ziqian Peng 
Published: March 2024

ABSTRACT
Watershed Ecological Compensation (WEC), an essential institutional framework, is for watershed ecological protection and management in China. The governments play a leading role but watershed residents who are the direct stakeholders are not given enough attention in the legislation and practice of WEC in most river basins. Thereupon, it is necessary to study the resident's willingness to pay (WTP) and willingness to accept (WTA). Based on the field survey data of the Huangbai River Basin, the contingent valuation method, the Probit and Tobit models were used to explore the WTP and its influencing factors of residents in the basin. Additionally, parametric estimation methods were employed to estimate the payout level and willingness to accept (WTA) of residents in watersheds. Results show that 88.84% of the respondents intended to pay for WEC with an average price of 142.24 CNY per year. The crucial factors influencing WTP were environmental awareness, ecological compensation cognition and political outlook. In addition, attention to ecology and satisfaction with water quality are significantly related to their payment levels. Accordingly, the policy makers should balance WTP and basin economic level and explore the implementation of a comprehensive ecological compensation strategy.
Genomic and Metagenomic Insights into the Distribution of
Nicotine-degrading Enzymes in Human Microbiota
Authors: Guan Ying , Zhu Zhouhai , Peng Qiyuan , Li Meng , Li Xuan , Yang Jia-Wei , Lu Yan-Hong , Wang Meng , Xie Bin-Bin 
Published: March 2024

Introduction:
Nicotine degradation is a new strategy to block nicotine-induced pathology.
The potential of human microbiota to degrade nicotine has not been explored.

Aims:
This study aimed to uncover the genomic potentials of human microbiota to degrade nicotine.

Method:
To address this issue, we performed a systematic annotation of Nicotine-Degrading Enzymes
(NDEs) from genomes and metagenomes of human microbiota. A total of 26,295 genomes
and 1,596 metagenomes for human microbiota were downloaded from public databases and five
types of NDEs were annotated with a custom pipeline. We found 959 NdhB, 785 NdhL, 987
NicX, three NicA1, and three NicA2 homologs.

Results:
Genomic classification revealed that six phylum-level taxa, including Proteobacteria, Firmicutes,
Firmicutes_A, Bacteroidota, Actinobacteriota, and Chloroflexota, can produce NDEs,
with Proteobacteria encoding all five types of NDEs studied. Analysis of NicX prevalence revealed
differences among body sites. NicX homologs were found in gut and oral samples with a
high prevalence but not found in lung samples. NicX was found in samples from both smokers
and non-smokers, though the prevalence might be different.

Conclusion:
This study represents the first systematic investigation of NDEs from the human microbiota,
providing new insights into the physiology and ecological functions of human microbiota
and shedding new light on the development of nicotine-degrading probiotics for the treatment
of smoking-related diseases.
A Complex Case: Solid Unilateral Ovarian Mucinous Carcinoma Masquerading as Leiomyosarcoma in Postmenopausal Women
Authors: Kumar Naina , Pradeep Immanuel , Mangla Mishu , Srirambhatla Annapurna 
Published: March 2024

Introduction:
Ovarian cancers are the third most common gynecological and 8th most
common cancer in women, associated with high mortality rates globally.

Case Presentation:
A 60-year-old postmenopausal woman presented to the Gynecological outpatient
department with complaints of pain in the abdomen for 2-3 months and loss of appetite with
weight loss for 1-2 months. She was diagnosed as a case of uterine leiomyosarcoma or left adnexal
mass on ultrasound and MRI. Intra-operatively, she was diagnosed with a unilateral left ovarian malignant
mass, predominantly solid in consistency with metastasis to the left fallopian tube, uterus,
cervical stroma, and omentum. The right ovary and tube were healthy. On histopathological examination,
the final diagnosis of primary mucinous ovarian carcinoma was made. The patient tolerated
staging laparotomy (total abdominal hysterectomy with bilateral salpingo-oophorectomy and infracolic
omentectomy) well and was started on six cycles of adjuvant chemotherapy with Paclitaxel
and Carboplatin injections along with Bevacizumab.

Conclusion:
Primary mucinous ovarian carcinomas are rare and distinct subtypes of epithelial ovarian
carcinomas. Due to their strong resemblance to other ovarian tumors and leiomyosarcoma, their
diagnosis becomes challenging. Hence, it is crucial to consider leiomyosarcomas in the differential
diagnosis of ovarian masses, especially in postmenopausal women.
Ag-TiO2 Photovoltaic Synergistic Field-catalyzed Degradation Performance of Tetracycline
Authors: Wang Qirui , Liu Xian , Qin Ziqi , Ge Xiang , Li Chengcheng , Zhu Lei , Wang Xun 
Published: March 2024

Background:
Tetracycline (TC), a commonly used antibiotic, is extensively utilized in the
medical sector, leading to a significant annual discharge of tetracycline effluent into the water system,
which harms both human health and the environment.

Objective:
A novel technique was developed to address the issues of photogenerated carrier complexation
and photocatalyst immobilization. Compared to traditional photocatalytic photoelectrodes,
the suspended catalyst used in the photovoltaic synergy field is more stable and increases the solidliquid
contact area between the catalyst and the pollutant.

Methods:
This paper uses sol-gel-prepared Ag-TiO2 materials for the photoelectric synergistic fieldcatalyzed
degradation of TC. The study examined how the Ag doping ratio, calcination conditions,
catalyst injection, pH, electrolytes, and electrolyte injection affected photoelectric synergistic fieldcatalyzed
degradation. The experiments were performed in a photocomposite field with a constant 50
mA current and a 357 nm UV lamp for 60 minutes. The composites underwent characterization using
XRD, TEM, and XPS techniques.

Results:
Ag-TiO2 photoelectric synergistic field-catalyzed reaction with 357 nm ultraviolet lamp
irradiation for 60 min and a constant current of 50 mA degraded 5 mg/LTC under preparation conditions
of molar doping ratio of Ti: Ag=100:0.5, roasting temperature of 500 °C, and roasting time of 2
h. The photoelectric synergistic field-catalyzed degradation process achieved a degradation rate of
90.49% for 5 mg/L TC, surpassing the combined degradation rates of electrocatalysis and photocatalysis.
The quenching experiments demonstrated that the degradation rate of TC decreased from
90.49% in the absence of a quencher to 53.23%, 42.58%, and 74.52%. The presence of •OH had a
more significant impact than h+ and •O2
-.

Conclusion:
The findings suggest that Ag-TiO2 significantly enhanced the efficacy of photoelectric
synergistic field-catalyzed degradation and can be employed to treat high-saline and lowconcentration
TC. This establishes a benchmark for using photoelectrocatalytic materials based on
titanium in treating organic wastewater.
Surface-engineered Multimodal Magnetic Nanoparticles: Scope and Applications
Authors: Singh Ritika , Mishra Manoj Kumar , Pandey Prasoon 
Published: March 2024

Abstract:
Magnetic nanoparticles (MNPs) are one of the classes of nanoparticles that produce magnetic
properties by manipulation using a magnetic field. These MNPs are currently used in the
theranostics disease modification of surface properties of MNPs, achieved by surface engineering,
which provides different applications, such as enhancing thermal and optical properties, biocompatibility,
conductivity and also mechanical and chemical properties. Advancement in the technology
leads to the development of MNPs. For this instance, surface coating is used at molecular and cellular
levels. The uses of coating material are based on organic and inorganic molecules, including polymer,
liposomes, micelles, metal oxide, gold-NPs etc. Using different coatings exhibits multifunction properties,
and this helps reduce toxicity, helps in biomedical applications, maintains stability, restricts
surface fouling, etc. This review provides an in-depth knowledge of surface-engineered magnetic
nanoparticles (MNPs) according to recent developments.
Pengaruh Kecenderungan Gaya Cinta Mania terhadap Kepuasan Hubungan Romantis pada Emerging Adulthood
Authors: Pujiawati Ranti Dwi , Izzaty Rita Eka 
Published: March 2024

Penelitian ini bertujuan untuk mengetahui pengaruh kecenderungan gaya cinta mania terhadap kepuasan hubungan romantis pada subjek emerging adulthood. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian survei. Sampel penelitian berjumlah 310 orang dengan menggunakan metode accidental sampling. Kriteria subjek yang terlibat yaitu berusia 18 – 25 tahun, sedang menjalin hubungan romantis (berpacaran), dan berdomisili di Daerah Istimewa Yogyakarta. Pengumpulan data menggunakan metode kuesioner yang disebarkan secara online, dengan menggunakan instrumen subskala dari Love Attitude Scale (LAS) yaitu gaya cinta mania (α=0,861) dan skala kepuasan hubungan (reliabilitas α=0,759). Teknik analisis data pada penelitian ini menggunakan regresi linear sederhana. Hasil penelitian menunjukkan bahwa tidak terdapat pengaruh gaya cinta mania terhadap kepuasan hubungan romantis dengan signifikansi sebesar 0,118 (p 0,05). Hal ini dimungkinkan karena adanya faktor lain seperti: 1) subjek memiliki lebih dari satu gaya cinta, 2) adanya afeksi yang diterima pasangan meskipun pasangan memiliki gaya cinta mania, dan 3) adanya faktor budaya
Analysis of the Quality and Quantity of Ngade Lake as a Source of Clean Water in Ternate City
Authors: Nagu Nani , Ahmad Badrun , Shandy Sary 
Published: March 2024

The Ngade Lake is one of the lakes on the island of Ternate. People use the lake as a tourist destination and fishing activity. This affects the lagoon's water quality, so measuring the water pollution parameters is necessary. This is because the lake can be used as a source of clean water. After all, the city of Ternate is currently experiencing limited water resources. The research was conducted to determine the availability of Ngade Lake as a source of clean water in terms of quality and quantity. The research method used in this study is experimental descriptive by conducting experiments and tests on the quality of Ngade Lake water and determining the amount of lake water through calculation from the measurement data. The water quality tests are carried out directly in Ngade Lake and the Laboratory physically and chemically. Physically includes taste, odor, temperatures, and temperatures. Chemical tests are conducted through COD, DO, pH, TDS, Density (CaCO3), metals (copper, iron, manganese), and other minerals. The results show that the quality testing of lake water meets the quality standards according to Permenkes No. 32 of the Year 2017, where the water in the middle of the lake has better water quality than the water on the lake's edge. The amount of water in Ngade Lake is measured at 3.394.744.000 litres. PDAM currently uses a pump with a discharge of 5 litres/second while the discharges of the water that is the reserve of water resources for Ngade Lake of 45 litres/second, so the water of the Lake of Ngade deserves to be used as a clean water source in terms of quality and quantity. Keywords: Quantity, Quality, Water, Lake, Analysis