bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novel Methyltransferase G9a Inhibitor Induces Ferroptosis in Multiple Myeloma Through Nrf2/HO-1 Pathway
Authors: Zhang Yu , Wang Xiaoshun , Li Xiaoqi , Xiong Xingfang , Xue Renyu , Zang Lanlan , Wang Zhiqiang , Wang Lijuan 
Published: February 2024

Abstract
Multiple myeloma (MM) is a common malignant hematologic neoplasm, and the involvement of epigenetic modifications in its development and drug resistance has received widespread attention. Ferroptosis, a new ferroptosis-dependent programmed death mode, is closely associated with the development of MM. The effects of DCG066 on the viability of MM cell lines ARH-77 and RPMI-8226 cells were detected by MTT assay and Calcein-AM/PI live/dead Cell Assay Kit; intracellular level of Reactive Oxygen Species (ROS) was detected by flow cytometry; and intracellular level of iron was detected by Iron Assay Kit. The malondialdehyde (MDA) and glutathione (GSH) levels in cells were detected by Malondialdehyde Content Assay Kit and Reduced Glutathione Content Assay Kit; the levels of Solute Carrier Family 7 member 11 (SLC7A11), Glutathione Peroxidase 4 (GPX4), Transcription Factor Nuclear Factor Red Factor 2-related Factor 2 (Nrf2), and Heme Oxygenase-1 (HO-1) were detected by Western Blot. The results showed that DCG066 (5µM) inhibited the proliferation and induced ferroptosis in MM cells; the intracellular levels of ROS, iron, and MDA were significantly elevated, and the level of GSH was reduced after the treatment of DCG066; The protein expression levels of SLC7A11, GPX4, Nrf2 and HO-1 were significantly reduced, and these phenomena could be reversed by ferroptosis inhibitor Ferrostatin-1 (Fer-1) and Nrf2 activator Tert-butyl hydroquinone (TBHQ). In conclusion, this study confirmed that DCG066 inhibits MM proliferation and induces ferroptosis via the Nrf2/HO-1 pathway.
RKR-GAT: Recurrent Knowledge-aware Recommendation with Graph Attention Network
Authors: Sun Qifeng , Wang Yaning , Gong Faming 
Published: February 2024

Abstract
Knowledge graph-based recommender systems have attracted increasing attention in recent years. By extracting the semantics of entities and relationships, these recommender systems enable a more comprehensive understanding of user preferences. However, existing methods overlook the impact of low-quality links in knowledge graphs, which leads to user preference propagation bias and affects recommendation accuracy. In this paper, we propose RKR-GAT, a recurrent knowledge-aware recommendation algorithm based on a graph attention network. Specifically, RKR-GAT integrates user-item interactions and the knowledge graph into a heterogeneous graph and learns node embeddings using a Graph Attention Network (GAT). To alleviate the effect of user preference propagation bias, we design a new path filtering module to reject low-quality connections and adaptively retain reasonable reasoning paths between users and items in the knowledge graph. Furthermore, RKR-GAT combines recurrent neural networks with a self-attention mechanism to efficiently analyze the semantics of the paths to generate more accurate recommendations while providing explainability. Ultimately, experimental results on three real-world datasets demonstrate the better performance of RKR-GAT compared to state-of-the-arts baselines.
Ratiometric Fluorescence/Chromogenic Probe for Trace Detection of Transition Metals
Authors: Saleem Muhammad , Khan Salah Uddin , Haider Sajjad , Hanif Muhammad , Rafiq Muhammad 
Published: February 2024

Abstract
The design and development of a fluorescence sensor aimed at detecting and quantifying trace amounts of toxic transition metal ions within environmental, biological, and aquatic samples has garnered significant attention from diagnostic and testing laboratories, driven by the imperative to mitigate the health risks associated with these contaminants. In this context, we present the utilization of a heterocyclic symmetrical Schiff Base derivative for the purpose of fluorogenic and chromogenic detection of Co2+, Cu2+ and Hg2+ ions. The characterization of the ligand involved a comprehensive array of techniques, including physical assessments, optical analyses, NMR, FT-IR, and Mass Spectrometric examinations. The mechanism of ligand-metal complexation was elucidated through the utilization of photophysical parameters and FT-IR spectroscopic analysis, both before and after the interaction between the ligand and the metal salt solution. The pronounced alterations observed in absorption and fluorescence spectra, along with the distinctive chromogenic changes, following treatment with Co2+, Cu2+ and Hg2+, affirm the successful formation of complexes between the ligands and the treated metal ions. Notably, the receptor's complexation response exhibited selectivity towards Co(II), Cu(II), and Hg(II), with no observed chromogenic changes, spectral variations, or band shifts for the various tested metal ions, including Na+, Ag+, Ni2+, Mn2+, Pd2+, Pb2+, Cd2+, Zn2+, Sn2+, Fe2+, Fe3+, Cr3+ and Al3+. This absence of interaction between these metal ions and the ligand could be attributed to their compact or inadequately conducive conduction bands for complexation with the ligand's structural composition. To quantify the sensor's efficacy, fluorescence titration spectra were employed to determine the detection limits for Co2+, Cu2+ and Hg2+, yielding values of 2.92 × 10− 8, 8.91 × 10− 8, and 4.39 × 10− 3 M, respectively. The 1:1 ligand-metal binding stoichiometry was determined by employing Job's plot through linear fitting analysis of absorption data. The Benesi-Hildebrand plots provided association constant values for the ligand-cobalt, ligand-copper, and ligand-mercury complexes as 0.74, 2.52, and 13.89 M− 1, respectively.
WITHDRAWN: Surface multi-spectral reflectivity and texture material recognition in non-constrained environments
Authors: Dhahri Ahmed , Amamou Ali , Faghihi Usef , Kelouwani Sousso , Boisclair Jonathan , Zeghmi Lotfi 
Published: February 2024

Abstract
Material recognition is the process of distinguishing various materials based on their inherent physical properties. It plays a pivotal role in numerous applications, including manufacturing, recycling, and robotic handling. Conventional recognition methods predominantly employ sensor-and vision-based approaches. However, these methods often face challenges such as the similarity and variability in material appearance, environmental conditions, and geometric constraints. In this research, we introduce a multimodal, vision-based, attention-driven model for material recognition. Contrary to preceding texture-based and multi-spectral based methods, our approach harnesses both the texture and light reflection distribution characteristics intrinsic to material surfaces. The proposed method features a collocated system that combines depth, RGB, and near-infrared (Near-IR) cameras, along with infrared laser projector. This specific setup was selected to capture reflection distribution and texture across the visible-near-infrared spectrum. Subsequently, the data captured by this setup were processed by a recognition model within a fusion framework. Our results outperform previous methods in terms of accuracy when additional modalities (Depth, Near-IR, laser projectors) are available, while also exhibiting equivalent performance to top RGB-based models when solely reliant on RGB data. Thus, proving the complementarity of the added modalities with visible information.
Heat load index during heat waves as an indicator of thermal comfort of Hereford heifers with access to natural shade on native grasslands
Authors: Saravia C. , vanLier E. , Munka C. , Bentancur O. , Iribarne R. , Rodríguez-Palma R. , Astigarraga L. 
Published: February 2024

Abstract

The quantification of the environmental conditions to predict the effect of extreme events (heat waves: HW), is important in animal welfare and performance. The aim of this study was to evaluate the impact of the meteorological environment on physiological and productive variables on heifers, either with or without access to natural shade on rangelands, using the Heat Load Index (HLI), a biometeorological index that allows the comparison between environments. The experiment was carried out at Estación Experimental de la Facultad de Agronomía en Salto, Uruguay, during two summers (Year 1, Year 2). The treatments were voluntary access to natural shade (Shade) and full sun (Sun). Three HW: Severe, Strong, Mild and a not HW (NHW) occurred in Year 1, but only the latter in Year 2. The HLI categories warm and very warm (HLI ≥ 77.1) daily hours percentages were 68 and 67 during Severe HW, 56 and 49 in Strong + Mild HW, 48 and 38 in NHW in Year 1 and 12 and 4 in NHW in Year 2, in the Sun and Shade treatment, respectively. During Severe and Strong HW, the Shade was not beneficial because the animal experimented thermoneutrality only for a few hours. During Mild HW and NHW, the HLI in the Shade was mainly thermoneutral and temperate, which would explain the higher animal weight gain, compared to the Sun. In Year 2, the predominant conditions were thermoneutral, with heifers maintaining normothermia during a major part of the day in both treatments, resulting in similar weight gain.
Pantaneiro stallions: did the environment influence seminal traits and testicular biometry?
Authors: Ribas José Antonio Silva , Rua Miguel Alejandro Silva , Silva José Frederico Straggiotti , Cunha Isabel Candida Nunes , Quirino Celia Raquel 
Published: February 2024

Abstract
The aim of this present study was to evaluate the testis biometry and seminal characteristicsof the Pantaneiro horse breed in two season of year. Th experiment was performed in Pantanal region of Brazil, with evaluation of seven Pantaneiro stallions aged from 4 to 12 years and raised in extensive system. Testis traits and semen of the stallions were collected during the rainy season (RS - April) and dry season (DS - October).Seminalvolume, sperm concentration, total number of spermatozoa (TNSTZ), motility, vigor, sperm major defects, sperm total defects, hypoosmotic swelling test, trypan blues test and pH were evaluated. The right and left testicular (RTL and LTL), the right and left testicular height (RTH and LTH) and the right and left testicular width (RTW and LTW) were measured and testicle volume (TV) was calculated. Statistical analysis was performed to verify the effect of season on testis biometry traits and semen traits.Correlations of all characteristics were calculated.There was effect of season on TNSTZ and sperm major defects. All others war not different between RS and DS. The testicular volume means was 179.4 ± 8.6 cm3. There was no effect of season on testicular biometry traits.High and medium correlations were observed among testis length (TL), testis width (TW), TV with TNSTZ. Motility had high correlation with hypoosmotic test. High magnitude correlation was also observed between hypoosmotic test and intact membrane on trypan blue test. It suggests that the integrity of the membrane is essential for a good function of the kinetic of the spermatozoa.The results showed that the Pantaneiro stallions is adapted to the specific tropical environment and not presenting reproductive seasonality, being able to have your semen collected during the entire year without affect its quality also without testicular variation. Furthermore,the testicular length, width and testis volume showed highly representative as a criterion to selection of Pantaneiro stallions to reproduction.
A Novel Hybrid Classifier Model for Leukemia Prediction Using Machine Learning Techniques
Authors: K Dhana Shree 
Published: February 2024

Abstract
Cancer is known as the second crucial disease that causes the highest cause of mortality across the world. Earlier and accurate cancer prediction with the automated design of a clinical decision support system helps the physicians control the mortality risk and therapeutic intervention. Machine Learning (ML) based prediction approaches are used to identify the appropriate values for cancer prediction. Also, optimization is an essential factor to endeavour proper decision making. A novel convolutional non-influencing feature rejection (CNI-FR) classifier model is utilized to enhance the classifiers' prediction accuracy. In the case of gene analysis, all the features are not highly solicited, and ML provides various approaches for feature selection and classification. It is dependent on the provided input data and its feature distribution. Thus, both feature analysis and classification are required for efficient classification. The primary research objective is to optimize the learning parameters like rejection rate for appropriate cancer prediction of conventional parameters. Here, feature analysis is performed, and the rejection threshold is set for these feature analysis to examine the cancer prediction robustly. Here, various online available cancer dataset is taken, and the proposed classifier model is executed. The outcomes reveal the performance of the anticipated model with other ML classifiers. The predictions based on the proposed model specify that the ML algorithm with its dependencies is suitable for appropriate cancer prediction.
Physical Properties of the Nano-Crystaline Spin-Coated Zinc Oxide Thin Film
Authors: Khanali Omid , Nekouee Khanali 
Published: February 2024

Abstract

In this study, Zinc oxide thin films have been synthesized using dehydration from various precursors. In ethanol and mono-ethanolamine, zinc acetate (I) and zinc nitrate (II) were dissolved. Following that, glass substrates were coated with this solution using the sol-gel spin coating method (3000 rpm for 10 s), and for making zinc oxide thin films were heated at 250°C. This process was done five times to make the films thicker (and allow them to form five layers on the substrate), and then they were annealed at 450°C. zinc oxide thin films derived from zinc acetates (I) are almost transparent in visible light in comparison zinc nitrates (II) product. The highest energy gap (3.3ev) and crystal size (74nm) were also achieved in zinc acetates (I) products. The presence of various vibration modes in the prepared samples was also revealed by Raman spectroscopy (RS) of the annealed films. The presence of concentrated stresses within the coated films is also determined using RS, and verify the scanning electron microscopy results the Raman peaks of E2 is confirmed by FE-SEM images.
Exploring the Electronic Structure of Knotted Proteins: The Case of Two Ornithine Transcarbamylase Family
Authors: Silva Jose Cicero Alves , Grillo Igor Barden , Urquiza-Carvalho Gabriel A. , Rocha Gerd Bruno 
Published: February 2024

Abstract

Geometrical knots are rare structural arrangements in proteins in which the polypeptide chain ties itself into a knot, which is very intriguing due to the uncertainty of their impact on the protein properties. Presently, classical molecular dynamics is the most employed technique in the few studies found on this topic, which means that any information on how the presence of knots affects the reactivity and electronic properties of proteins is even scarcer. Thus, using the new software, PRIMoRDiA, developed by our group to explore the electronic structure of biological macromolecules, we evaluated several local quantum chemical descriptors to unveil relevant patterns potentially originating from the presence of the geometrical knot in two proteins, as a case of study. We compared several sampled structures from two enzymes that are highly similar in both tertiary structure and function, but one of them has a knot whereas the other does not. We found that the same amino-acid residues in the knot core have statistically larger values for the unknotted protein, for both hard-hard and soft-soft interaction descriptors. Additionally, we explored the variation in several reactivity and other quantum chemical properties calculated from a set of snapshot structures of whole proteins. We present a computationally feasible protocol that combines structures sampled from nanoscale molecular dynamics trajectories, semiempirical calculations of the entire protein atom set and the use of our software PRIMoRDiA to compute molecular quantum chemical descriptors. From this protocol we showed that the is possible to separate the contribution of the geometrical knot to the reactivity and other electronic structure properties.
Effects of High Hydrostatic Pressure on the Spectral and Temporal Characteristics of Fluorescence of Photosystem II Core Complex of Thermosthicus Vulcanus
Authors: Sipka Gábor , Timpmann Kõu , Kangur Liina , Han Wenhui , Li Xingyue , Han Guangye , Shen Jian-Ren , Lambrev Petar H. , Garab Győző , Freiberg Arvi 
Published: February 2024

Abstract

Recent steady-state and time-resolved spectroscopy investigations have revealed that Photosystem II core complexes (PSII CCs) are capable of undergoing marked light-induced structural reorganizations even upon the formation of stable charge separation state PSIIC. These reversible changes observed at physiological and cryogenic temperatures lead to the gradual formation of light adapted charge-separated state PSIIL. It has been proposed that the underlying physical mechanisms involve complex dielectric relaxation processes due to the generation of stationary and transient electric fields, in which structural rigidity and flexibility of the related protein complexes play equally important roles. In order to gain further insights into the nature of structural dynamics of PSII, here, the response of the chlorophyll-a transient fluorescence in PSII CC prepared from Thermosthicus vulcanus was studied at 78 K under high hydrostatic pressures applied either at room temperature or at 78 K. PSII CC exhibits remarkable flexibility against high hydrostatic pressures up to 12 kbar and cryogenic temperatures down to 78 K, as evidenced by the fair shape overlap between the initial fluorescence spectrum at ambient conditions and the final fluorescence spectra recorded under various pressure-temperature treatments. This observed reversibility further implies that the variations in these parameters do not significantly disrupt the pigment binding pockets within PSII CC. However, as is typical of glassy protein samples, the pressure-induced spectral and kinetic effects were contingent on the sample's treatment history. These effects, such as bathochromic shifts and broadenings of the spectra, were not only quantitatively greater, but also qualitatively different, such as the disruption of antenna energy transfer pathways or inhibition of the induction of variable chlorophyll fluorescence when pressure was applied at ambient temperature compared to 78 K. The relatively modest spectral shift rates, not exceeding about − 20 cm⁻¹/kbar, further suggest the absence of strongly coupled chlorophyll units significantly contributing to PSII CC fluorescence.
The pattern of presentation, management and outcome of breast cancer patients at a tertiary health facility in Sierra Leone
Authors: -John Constance Cummings , Bah Abdulai Jawo , Smalle Isaac Olufemi , Duduyemi Babatunde , Ogundiran Temidayo 
Published: February 2024

Abstract
Background
Breast cancer is the leading cause of cancer among women globally and the most common cancer amongst women in Sierra Leone. The aim of this study was to evaluate the patterns of clinical presentation, management and outcome among breast cancer patients who presented at the Connaught Teaching Hospital Complex in Sierra Leone.
Method
A retrospective, cross-sectional study was conducted at the specialist outpatient clinic at the Connaught Hospital. The medical records of 253 breast cancer patients were selected through a convenience sampling based on completeness of their data from 2018 to 2021. Patient's socio-demographic, obstetrics-gynaecological history, clinic-pathological characteristics, treatment modalities and outcomes were analysed by SPSS version 24.
Results
Of the 253 breast cancer patients, 246 (97.2%) were female and the mean age of the patients was 47±14 years. The mean age at menarche was 12±3 years and 35 (13.8%) of patients had a family history of breast cancer. The left breast 130 (51.2%) was the most commonly affected; about 119 (47%) of patients presented with stage III B and 35 (13.8%) with metastasis at presentation. With regards to treatment modalities, a combination of surgery, chemotherapy, and hormonal were provided to the patients, with 25.2 (48%) mastectomies,
98 (20.5%) hormonal therapy, 35 (7.3%) palliative care and about 8 (15.2%) refused treatment. The outcomes of breast cancer patients showed the highest mortality was in 2019, 19 (32.8%) and the least was in 2018, 10 (27.8%).
Conclusion
Our study showed that over half of our patients presented in advanced stage and mastectomy was the most common modality of treatment. There is a need to promote public health awareness on early presentation to improve patient’s outcome.
Pediatric Head Injury/trauma Algorithm to Reduce Computed Tomography, Overcrowding, Length of Stay in Emergency Department
Authors: Savioli Gabriele , Ceresa Iride Francesca , piccioni Andrea , Longhitano Yaroslava , Manzoni Federica , Voza Antonio , Esposito Ciro , Balzanelli Mario Giosuè , Ricevuti Giovanni , Zanza Christian , Bellou Abdelouahab 
Published: February 2024

Abstract
Background: Children with traumatic head injury are often carried from community to an Emergency Departments (ED) equipped with neurosurgery and pediatric medicine.
The aims of this study is to evaluate the application of the PECARN TBI algorithm in the real life of our Emergency Department in all children who arrived for head trauma consecutively from 1 January 2016 to 31 December 2019 to decrease the number of head CT among pediatric patients. The secondary objective was to evaluate the impact of adhesion to this protocol on the crowding, length of stay and boarding time in the Emergency Department.
Methods: We conducted a retrospective study of children aged ≤15 years who were managed in our ED for mild traumatic brain injury (TBI) from 1 January 2016 to 31 December 2019. Data collected included anamnesis, signs and symptoms, demographics, outcomes, times of the ED processes, main symptom complained, the causal factors, and the outcomes of pediatric TBI, in term of intracranial injuries (ICI) and injuries requiring neurosurgery (NSI).
Results: A total of 1372 children with mild TBI were analyzed. The majority of patients were male (59.8%) and ≥ 2 years of age (63.2%). Most trauma (58%) caused by a home injury. Neurosurgical consultation (59.4%) was the most commonly interventions in the ED. Only 4.3% required neuroimaging and 7 children had hemorrhage, only 1 required immediate neurosurgical intervention. There were no re-entries for bleeding. The adoption of this protocol had no negative impact on crowding: protocol improve time processes.
Conclusions: The adoption of the PECARNE algorithm allowed a low volume of brain CT scan with good clinical outcomes and did not increase crowding.
Penetrating Cardiac Injury: A 20-Year Retrospective Analysis at a High-Complexity University Center
Authors: Wada Li Siyuan , Évora Paulo Roberto Barbosa , Giuliani Gabriel Bianco , Okarenski Giovane , Wada Danilo Tadao , Filho Adilson Scorzoni , Godinho Mauricio , Scarpelini Sandro , Rodrigues Alfredo José 
Published: February 2024

Abstract
Background:
The study examines penetrating cardiac trauma over 20 years, reflecting the prevalence of stab wounds and gunshot wounds in a specific regional context.
Methods:
A retrospective analysis of medical records and trauma database data, with a focus on survivors of penetrating cardiac trauma, excluding those deceased upon arrival.
Results:
Out of 1,093 cases, 25 had penetrating cardiac injuries with an overall mortality rate of 36%. Hemorrhage was the leading cause of death, and survival was correlated with higher systolic blood pressure upon admission and the level of consciousness.
Conclusions:
The study highlights the need for rapid intervention and emphasizes the importance of managing bleeding and supporting hemodynamics. It also points to areas for improvement in emergency care and the benefits of interdisciplinary collaboration.