bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bacterial community and diversity in the rumen of 11 Mongolian cattle as revealed by 16S rRNA amplicon sequencing
Authors: Jia Yijiu , Shi Yali , Qiao Huiyan 
Published: January 2024

AbstractThrough microorganism in the rumen of ruminant, plant fiber can be converted to edible food such as meat and milk. Ruminants had a rich and complex microbial community within the rumen, and the bacteria comprised the dominant proportion of the ruminal microbes. High-throughput sequencing offered a viable solution for the study of rumen microbes. In this study, rumen fluid samples were taken from 11 cattle from Inner Mongolian, the DNA of 11 rumen fluid samples were extracted and bacterial amplicons of the V4 regions of 16S rRNA were subjected to Illumina sequencing. More than 90,000 raw reads and 60,000 effect Tags per sample were obtained. 28,122 operational taxonomic units (OTUs) were observed from 11 samples, in average 2557 ± 361 OTUs for each sample. Bacteroidetes (44.41 ± 7.31%), Firmicutes (29.07 ± 3.78%), and Proteobacteria (7.18 ± 5.63%) were the dominant phyla among the bacteria of rumen, accounting for 82%. At the genus level, the highest relative abundance was Prevotella. Their functions were predicted using the Kyoto Encyclopedia of Genes and Genomes (KEGG). The results showed that they included metabolism, genetic information processing, environmental information processing and cellular processes. It explored the bacterial community diversity and composition of the rumen of Mongolian cattle. On the whole, our research showed that there was a high diversity as well as rich bacterial flora function of rumen bacteria in Mongolian cattle. Meanwhile, these findings provided information for further studies on the relationship between the community, diversity, functions of rumen bacteria and the nutritional physiological functions of the host.
Immediate reuse of patch-clamp pipettes after ultrasonic cleaning
Authors: Jehasse Kevin , Jouhanneau Jean-Sébastien , Wetz Sophie , Schwedt Alexander , Poulet James F. A. , Neumann-Raizel Peter , Kampa Björn M. 
Published: January 2024

AbstractThe patch-clamp technique has revolutionized neurophysiology by allowing to study single neuronal excitability, synaptic connectivity, morphology, and the transcriptomic profile. However, the throughput in recordings is limited because of the manual replacement of patch-pipettes after each attempt which are often also unsuccessful. This has been overcome by automated cleaning the tips in detergent solutions, allowing to reuse the pipette for further recordings. Here, we developed a novel method of automated cleaning by sonicating the tips within the bath solution wherein the cells are placed, reducing the risk of contaminating the bath solution or internal solution of the recording pipette by any detergent and avoiding the necessity of a separate chamber for cleaning. We showed that the patch-pipettes can be used consecutively at least ten times and that the cleaning process does not negatively impact neither the brain slices nor other patched neurons. This method, combined with automated patch-clamp, highly improves the throughput for single and especially multiple recordings.
Self-powered triboelectric nanogenerator sensor for detecting humidity level and monitoring ethanol variation in a simulated exhalation environment
Authors: Mohamadbeigi Nima , Shooshtari Leyla , Fardindoost Somayeh , Vafaiee Mohaddese , Iraji zad Azam , Mohammadpour Raheleh 
Published: January 2024

AbstractRespiration stands as a vital process reflecting physiological and pathological human health status. Exhaled breath analysis offers a facile, non-invasive, swift, and cost-effective approach for diagnosing and monitoring diseases by detecting concentration changes of specific biomarkers. In this study, we employed Polyethylene oxide/copper (I) oxide composite nanofibers (PCNFs), synthesized via the electrospinning method as the sensing material to measure ethanol levels (1–200 ppm) in an exhaled breath simulator environment. The integrated contact-separation triboelectric nanogenerator was utilized to power the self-powered PCNFs exhaled breath sensor. The PCNFs-based gas sensor demonstrates promising results with values of 0.9 and 3.2 for detecting 5 ppm and 200 ppm ethanol, respectively, in the presence of interfering gas at 90% relative humidity (RH). Notably, the sensor displayed remarkable ethanol selectivity, with ratios of 10:1 to methanol and 25:1 to acetone. Response and recovery times for 200 ppm ethanol at 90 RH% were rapid, at 2.7 s and 5.8 s, respectively. The PCNFs-based exhaled breath sensor demonstrated consistent and stable performance in practical conditions, showcasing its potential for integration into wearable devices. This self-powered breath sensor enabling continuous monitoring of lung cancer symptoms and facilitating compliance checks with legal alcohol consumption limits.
Empirical Bayes single nucleotide variant-calling for next-generation sequencing data
Authors: Karimnezhad Ali , Perkins Theodore J. 
Published: January 2024

AbstractOne of the fundamental computational problems in cancer genomics is the identification of single nucleotide variants (SNVs) from DNA sequencing data. Many statistical models and software implementations for SNV calling have been developed in the literature, yet, they still disagree widely on real datasets. Based on an empirical Bayesian approach, we introduce a local false discovery rate (LFDR) estimator for germline SNV calling. Our approach learns model parameters without prior information, and simultaneously accounts for information across all sites in the genomic regions of interest. We also propose another LFDR-based algorithm that reliably prioritizes a given list of mutations called by any other variant-calling algorithm. We use a suite of gold-standard cell line data to compare our LFDR approach against a collection of widely used, state of the art programs. We find that our LFDR approach approximately matches or exceeds the performance of all of these programs, despite some very large differences among them. Furthermore, when prioritizing other algorithms’ calls by our LFDR score, we find that by manipulating the type I-type II tradeoff we can select subsets of variant calls with minimal loss of sensitivity but dramatic increases in precision.
Synergetic effect of essential oils and calcium phosphate nanoparticles for enhancement the corrosion resistance of titanium dental implant
Authors: Zaher Heba Tarek , Hefnawy Mahmoud A. , Medany Shymaa S. , Kamel S. M. , Fadlallah Sahar A. 
Published: January 2024

AbstractCalcium phosphate (CaPO4) coating is one of various methods that is used to modify the topography and the chemistry of Ti dental implant surface to solve sever oral problems that result from diseases, accidents, or even caries due to its biocompatibility. In this work, anodized (Ti-bare) was coated by CaPO4 prepared from amorphous calcium phosphate nanoparticles (ACP-NPs) and confirmed the structure by X-ray diffraction (XRD) and Fourier-transform infrared spectroscopy (FT-IR) techniques. Ti-bare was coated by prepared CaPO4 through the casting process, and the morphology of Ti/CaPO4 was characterized by scanning electron microscope (SEM) where the nano-flakes shape of CaPO4 and measured to be 60 ~ 80 nm was confirmed. The stability of Ti-bare and coated Ti/CaPO4 was studied in a simulated saliva solution using electrochemical impedance spectroscopy (EIS) and linear polarization techniques to deduce their corrosion resistance. Furthermore, three essential oils (EO), Cumin, Thyme, and Coriander, were used to stimulate their synergistic effect with the CaPO4 coat to enhance the corrosion resistance of Ti implant in an oral environment. The fitting EIS parameters based on Rs [RctC]W circuit proved that the charge transfer resistance (Rct) of Ti/CaPO4 increased by 264.4, 88.2, and 437.5% for Cumin, Thyme, and Coriander, respectively, at 2% concentration.
Reduction of sulfur in fuel oil using Fe2O3 hybrid nanoadsorbent by solvent deasphalting and optimization of operational parameters with CCD
Authors: Malek Mohammadreza , Samipourgiri Mohammad , Rashidi Alimorad , Majidian Nasrolah 
Published: January 2024

AbstractThe present study investigated and tested the effect of adding three types of nanoadsorbents (multi-walled carbon nanotubes (MWCNT)) in pure form, multi-walled carbon nanotubes with Fe2O3 particles (MWCNT-Fe2O3) hybrid, and Silanated-Fe2O3 hybrid to heavy fuel oil to reduce sulfur using a deasphalting process with solvent. First, all three types of nanoadsorbents were synthesized. Then, the Central Composite Design (CCD) method was used to identify the parameters effective in deasphalting, such as the type of nanoadsorbent, the weight percentage of nanoadsorbent, and the solvent-to-fuel ratio, and to obtain their optimal values. Based on the optimization result, under laboratory temperature and pressure conditions, the highest percentage of sulfur reduction in deasphalted fuel (DAO) was obtained by adding 2.5% by weight of silanated-Fe2O3 nano-adsorbent and with a solvent-to-fuel ratio of 7.7 (The weight percentage of sulfur in DAO decreased from 3.5% by weight to 2.46%, indicating a decrease of 30%). Additionally, by increasing the temperature to 70 °C, in optimal conditions, the results revealed that the remaining sulfur percentage in DAO decreased to 2.13% by weight, indicating a decrease of 40%. Synthesized nanoadsorbents and asphaltene particles adsorbed on the surfaces of nanoadsorbents were evaluated by XRD, FTIR, FESEM, and TEM techniques.
Solid mineral potential evaluation using integrated aeromagnetic and aeroradiometric datasets
Authors: Ogah Arewa James , Abubakar Fahad 
Published: January 2024

AbstractThe analytical hierarchy process (AHP) was employed to delineate the mineralisation potential across the notable schist belts in northwestern Nigeria. High-resolution aeromagnetic and aeroradiometric datasets were taken into consideration. This was achieved by using advanced signal enhancement techniques to study the structures, identify the hydrothermal alteration zones (that could serve as a pathway for mineralisation), and understand the geologic settings. Amongst the enhancement techniques are first vertical gradient, analytic signal, CET grid analysis and porphyry, Euler deconvolution, and K/Th ratio. The analytic signal reveals lithologic contact, structures and anomalous occurrences that aided the classification of the site into three magneto-lithologic zones: high (> 0.094 nT/m), intermediate (0.028 to 0.094 nT/m), and low magnetic zones (< 0.028 nT/m). The high magnetic zones (HMZ) were considered the main magnetic source outlines, which are inferred to be dominantly intrusive zones for hydrothermal activities. The 3-dimensional Euler deconvolution reveals highly magnetic and intrusive depth sources to be within the range of < 100 to 500 m. The Centre for Exploration Targeting (CET) grid technique revealed the structural distribution from which the lineament density map was produced. The orientations of the prevalent structural anomalies are E-W, NE-SW, WNW-ESE and NW–SE, with similar orientations observed from the first vertical gradient and the analytic signal. The highly dense structural zones coincide with the high magnetic zones and high-frequency amplitudes of the analytic signal and the vertical gradient map, respectively. Additionally, the CET porphyry detects the centres of the intrusive porphyries to be within zones of high lineament density. This reveals that the mineralisation potential of the area is structurally controlled. On the other hand, radioelement maps (eU, eTh, and K%) and ternary maps were used for lithological classification. The radiometric ternary map revealed the highly radioactive zones and the superior concentration of individual radioelements in their respective areas. The K/eTh ratio map delineates highly potassic alteration zones. The AHP model and weighted overlay tool were employed to integrate the analytic signal, lineament density, and K/Th ratio. Consequently, the mineralisation potential of the study site was revealed and classified into high, moderate, and low. This result was validated using known mine sites. There was a total agreement, with 87.5% of mines plotting within the high mineralisation potential class and 12.5% in the moderate class. Promising targets were identified for development.
Production of Cement mortars from glass powder and municipal incinerated bottom ash
Authors: Kumpueng Park , Phutthimethakul Lalitsuda , Supakata Nuta 
Published: January 2024

AbstractThe objective of this research is to find the optimal ratio of glass power (GP) and municipal incinerated bottom ash (MIBA) for producing environmentally friendly interlocking paving blocks. To achieve this, 15 different ratios of mortar samples, sized 5 × 5 × 5 cm, were produced using a 1:3 cement-to-aggregate ratio and a 0.5 water-to-cement ratio. GP was used to substitute cement at 0, 10, and 20% by weight, while MIBA was used to substitute aggregate at 0, 10, 20, 30, and 40% by volume. The samples were divided into two groups and cured with water for 28 and 90 days. Physical testing was performed on the mortar samples after curing. The results show that at 28 days of curing, BA10 and BA20 had compressive strengths of 42.28 and 40.92 MPa respectively, which is higher than the standard for interlocking concrete block (40 MPa) according to TIS 827-2531. At 90 days of curing, GP10BA10, BA10, GP10, GP10BA20, GP20, BA20, and BA30 had compressive strengths of 47.62, 43.63, 43.51, 43.48, 42.73, 42.40, and 40.40 MPa respectively, which also meets the TIS standards.
Macrophages reprogramming improves immunotherapy of IL-33 in peritoneal metastasis of gastric cancer
Authors: Che Keying , Luo Yuting , Song Xueru , Yang Zhe , Wang Hanbing , Shi Tao , Wang Yue , Wang Xuan , Wu Hongyan , Yu Lixia , Liu Baorui , Wei Jia 
Published: January 2024

AbstractPeritoneal metastasis (PM) has a suppressive tumor immune microenvironment (TIME) that limits the effects of immunotherapy. This study aimed to investigate the immunomodulatory effects of intraperitoneal administration of IL-33, a cytokine that is reported to potentiate antitumor immunity and inhibit metastasis. We found survival was significantly prolonged in patients with high IL-33 mRNA expression. In immunocompetent mice, intraperitoneal administration of IL-33 could induce a celiac inflammatory environment, activate immunologic effector cells, and reverse the immunosuppressive tumor microenvironment, which effectively delayed tumor progression and PM of gastric cancer. Mechanistically, IL-33 could induce M2 polarization by activating p38-GATA-binding protein 3 signaling. IL-33 combined with anti-CSF1R or p38 inhibitor to regulate tumor-associated macrophages (TAMs) had a synergistic antitumor effect. Inducing a local inflammatory milieu by IL-33 administration provided a novel approach for treating peritoneal metastasis, which, when combined with TAM reprogramming to reshape TIME, can achieve better treatment efficacy.
Physicochemical surface properties of Chlorella vulgaris: a multiscale assessment, from electrokinetic and proton uptake descriptors to intermolecular adhesion forces
Authors: Lesniewska Nicolas , Duval Jérôme F. L. , Caillet Céline , Razafitianamaharavo Angelina , Pinheiro José P. , Bihannic Isabelle , Gley Renaud , Le Cordier Hélène , Vyas Varun , Pagnout Christophe , Sohm Bénédicte , Beaussart Audrey 
Published: January 2024

We address here the physicochemical surface properties of C. vulgaris, including electrostatics and hydrophobicity, at various biological organisation scales using soft surface electrokinetics, proton titration and chemical force spectroscopy.
Automatic monitoring and early warning method for power grid infrastructure investment progress using building information model and blockchain
Authors: Lu Jing , Yu Weidong , Wu Shihong 
Published: January 2024

AbstractIn order to improve the precise control level of power grid infrastructure investment, this paper proposes a monitoring and early warning method of power grid infrastructure investment progress based on building information model and blockchain. By capturing the project construction progress images, the features of the power grid infrastructure are extracted automatically. Combined with the technical characteristics of distributed, tamper‐proof, and traceable blockchain, statistical indicators are generated automatically, monitoring and early warning of the investment progress execution deviation are triggered by the rules running on the smart contracts. The case study results show that the mean absolute error of the target image recognition method based on the image features is 4.32%, and the prediction accuracy of the incoming line is better than that of the engineering civil and substation. The early warning model of investment statistics based on smart contracts can automatically monitor the investment progress and generate early warnings, which provides a basis for the dynamic adjustment of the investment plan, and effectively improves the refined management level of power grid infrastructure investment projects.
A novel multi‐model 3D object detection framework with adaptive voxel‐image feature fusion
Authors: Liu Zhao , Fu Zhongliang , Li Gang , Zhang Shengyuan 
Published: January 2024

AbstractThe multifaceted nature of sensor data has long been a hurdle for those seeking to harness its full potential in the field of 3D object detection. Although the utilisation of point clouds as input has yielded exceptional results, the challenge of effectively combining the complementary properties of multi‐sensor data looms large. This work presents a new approach to multi‐model 3D object detection, called adaptive voxel‐image feature fusion (AVIFF). Adaptive voxel‐image feature fusion is an end‐to‐end single‐shot framework that can dynamically and adaptively fuse point cloud and image features, resulting in a more comprehensive and integrated analysis of the camera sensor and the LiDar sensor data. With the aid of the adaptive feature fusion module, spatialised image features can be adroitly fused with voxel‐based point cloud features, while the Dense Fusion module ensures the preservation of the distinctive characteristics of 3D point cloud data through the use of a heterogeneous architecture. Notably, the authors’ framework features a novel generalised intersection over union loss function that enhances the perceptibility of object localsation and rotation in 3D space. Comprehensive experimentation has validated the efficacy of the authors’ proposed modules, firmly establishing AVIFF as a novel framework in the field of 3D object detection.
Deep unfolding model‐based for hybrid robust wide band adaptive beamforming
Authors: Janani Reza , Fatemi Mofrad Reza 
Published: January 2024

AbstractThe design of arrays capable of receiving wideband signals differs from arrays that can only receive narrowband signals. These arrays must be able to receive signals with an instant bandwidth of several GHz across the entire operating frequency, such as High‐Resolution Radars or Terahertz in 6G communication systems. In these arrays, using a time delay line structure leads to an increase in beamformer coefficients, resulting in high computational complexity. This poses a challenge for beamforming in wideband systems. Additionally, classic Wideband beamformers face other factors, such as poor performance in the presence of input direction of arrival error, array calibration error, and requiring too many snapshots to reach the steady state of the beamformer. Therefore, the robustness of wideband adaptive beamforming using deep unfolding model‐based technique is focused on, which has not been discussed before. The advent of deep unfolding, an innovative technique, amalgamates iterative optimization approaches with elements of neural networks. The aim is to deftly maneuver through various tasks across disciplines such as machine learning, signal and image processing, and telecommunication systems. Also, the network training method is done to become more robust against the mentioned factors. In the proposed structure, the constraints of the previous methods have been evaluated. It is observed to have better performance compared to other classic algorithms. Also, with the investigations of the proposed method with other conventional deep learning methods, it was observed that in some cases the proposed structure performance is equal to the conventional deep learning method and sometimes better.
„Die Homöopathie ist eine Methode, die wahnsinnig
interessant, vielseitig und effektiv ist“
Authors: Gebhardt Karl-Heinz , Schmidt Robert 
Published: January 2024

ZusammenfassungIm Mai 2023 interviewte Robert Schmidt Herrn Dr. Karl-Heinz Gebhardt online im
Rahmen des Deutschen Ärztekongresses für Homöopathie.
Das Gespräch wird hier wiedergegeben.
Ein Diskussionsbeitrag zur quellenkritischen Übersetzung der
Materia medica
Authors: Mickler Thomas , Schäferkordt Rainer , Lucae Christian 
Published: January 2024

ZusammenfassungIm Aufsatz „Fohlenlähme beim Esel“ (AHZ 2/2023)
wurde die Analysemethode mit „Phenomena“ („Repertorium
der Phänomene“) demonstriert. Ein Leserbrief dazu diskutiert die
Schwierigkeiten einer korrekten, quellenkritischen Übersetzung von
Symptomen aus der homöopathischen Materia medica. Der Autor entgegnet
mit einer ausführlichen Stellungnahme und erklärt die
Kompromisse, die hierbei zwangläufig eingegangen werden
müssen.
Homöopathie am Lebensende
Authors: Wegener Andreas 
Published: January 2024

ZusammenfassungAuch beim letzten Lebensabschnitt kann die Homöopathie wertvolle
Unterstützung geben. Es werden einige Mittel vorgestellt, die in der
Sterbephase häufig angezeigt sind. In den Stunden vor dem Tod ist oft
ein einzelnes Mittel indiziert. In den Wochen davor ist die Behandlung bei
schweren pathologischen Zuständen komplexer. Durch neu auftretende
Symptome wird ein Mittelwechsel notwendig. Dabei müssen die Regeln
für Folgemittel beachtet werden.
Miller Fisher Variant of Guillain-Barre Syndrome Secondary to Pulmonary Tuberculosis: A Case Report with Review of Literature
Authors: Tatikonda Chandra M. , Juvvadi Kaushik R. , Panda Sagarika , Mishra Shakti B. , Dash Abhilash 
Published: January 2024

AbstractGuillain-Barre syndrome (GBS) is one of the common causes for acute flaccid paralysis in adults and mostly preceded by infection. Miller Fisher syndrome (MFS) is a rare variant of GBS with incidence of 1 to 2 in 1,000,000. This syndrome has a triad of ataxia, areflexia, and ophthalmoplegia and diagnosed when two out above three features are present. It usually preceded by viral infection, most commonly Campylobacter jejuni, cytomegalovirus, and Epstein–Barr virus. However, it is very rarely reported in pulmonary tuberculosis. The pathogenesis involves an aberrant immune response due to molecular mimicry against myelin gangliosides. Hereby we are presenting an unusual case of MFS variant of GBS associated with pulmonary tuberculosis.
Ventricular Tachycardia after Submucosal Infiltration of Lignocaine 2% with Adrenaline in Endoscopic Pituitary Surgery Under Desflurane Anesthesia
Authors: Naik Shweta S. , Surve Rohini M. , Krishnakumar Mathangi 
Published: January 2024

AbstractInfiltrative analgesia of the nasal cavity using a local anesthetic combined with a potent vasopressor like adrenaline is a well-accepted method for transnasal endoscopic approach in neurosurgeries under general anesthesia. The main purpose of vasoconstrictors in transnasal surgery is to cause blanching of mucosa and reducing bleeding. Although it can reduce the systemic absorption and potential systemic toxicity of a local anesthetic, there can be systemic absorption of the vasoconstrictor itself. Desflurane can further potentiate the arrhythmogenicity of lignocaine with adrenaline by causing QTc prolongation. We report a case of transient ventricular tachycardia in a patient following nasal infiltration with lignocaine adrenaline under desflurane anesthesia.