bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting future trends of forex data with an intraday trading strategy system using a non-deep learning model
Authors: Chetcharungkit Chinnawat , Wongsiri Noppaluk , Nangam Manussave 
Published: December 2022

Abstract
Trading in the foreign exchange market (forex) has gained favour from beginners to advanced traders. There are two vital elements required for making a profit from opening orders in forex: the right guess of future trends of forex instruments and the positions to open and close orders. Yet, many researchers using machine learning to seize profit from forex focused on only the former element. This is not sufficient in real trading since traders cannot earn a profit unless orders are closed. We therefore propose a way to label forex data capturing both elements. For the part of model selection, despite the high reputation of deep learning in coping with complicated tasks, it is excluded in this research for ease of replication. The other reason is that massive computational power is required for deep learning, resulting in generating an inordinate amount of carbon dioxide emission. This even aggravates the global warming crisis. Being unarmed with powerful tools like deep learning, we show that the simplicity of the research framework consolidated by feature selection, feature engineering, and the intervention of our intraday trading strategy system can establish the applicable models with considerable profit rates.
Serum vascular endothelial growth factor associated with the progression of granulosa cell tumor: A report of two cases
Authors: Takasaki Kazuki , Ichinose Takayuki , Miyagawa Yuko , Fukui Shiho , Hashimoto Kei , Takahashi Yuko , Nishida Haruka , Hirano Mana , Hiraike Haruko , Saito Koji , Sasajima Yuko , Nagasaka Kazunori 
Published: December 2022

Abstract
Background: Granulosa cell tumors (GCTs) account for approximately 2% of ovarian malignancies and are considered a rare type of ovarian cancer. GCTs are characterized by irregular genital bleeding after menopause due to female hormone production as well as late recurrence around 5–10 years after initial treatment. In this study, we investigated two cases of GCTs to find a biomarker that can be used to evaluate the treatment and predict recurrence.
Case presentation: Case 1 was a 56-year-old woman who presented to our hospital with abdominal pain and distention. An abdominal tumor was found, and GCTs were diagnosed. Serum vascular endothelial growth factor (VEGF) levels decreased after surgery. Case 2 involved a 51-year-old woman with refractory GCTs. Carboplatin–paclitaxel combination therapy and bevacizumab were administered after the tumor resection. After chemotherapy, a decline in VEGF levels was observed, but serum VEGF levels increased again with disease progression.
Conclusion: VEGF expression may be of clinical importance in GCTs as a clinical biomarker for disease progression, which may be used to determine the efficacy of bevacizumab against GCTs.
Bifurcations in the Herd Immunity Threshold for Discrete-Time Models of Epidemic Spread
Authors: Ozbay Sinan , Nielsen Bjarke , Nguyen Maximilian 
Published: December 2022

Abstract
We performed a thorough sensitivity analysis of the herd immunity threshold for discrete-time SIR compartmental models with a static network structure. We find unexpectedly that these models violate classical intuition which holds that the herd immunity threshold should monotonically increase with the transmission parameter. We find the existence of bifurcations in the herd immunity threshold in the high transmission probability regime. The extent of these bifurcations is modulated by the graph heterogeneity, the recovery parameter, and the network size. In the limit of large, well-mixed networks, the behavior approaches that of difference equation models, suggesting this behavior is a universal feature of all discrete-time SIR models. These results suggest careful attention is needed in both selecting the assumptions on how to model time and heterogeneity in epidemiological models and the subsequent conclusions that can be drawn.
Exploring the Performance and Portability of the k-means Algorithm on SYCL Across CPU and GPU Architectures
Authors: Faqir-Rhazoui Youssef , Garcia Carlos 
Published: December 2022

Abstract
The aim of SYCL is to reduce the gap between the performance and code portability of the main accelerators used in HPC, such as multi-vendor CPUs, GPUs, and FPGAs. To evaluate SYCL's performance portability, this paper uses the k-means algorithm as a case study. The k-means algorithm is simple to code but can be complex to optimize. In this study, we compare our developed SYCL version with the most efficient implementations of CUDA and OpenMP. Our resulting SYCL code can potentially run on multi-vendor CPUs and GPUs. Additionally, we have created a hand-tuned SYCL variation that is optimized for specific device architectures (CPU, NVIDIA GPU, and Intel GPU) to evaluate the performance difference between a standard version and an optimized one. The results show that SYCL outperforms Intel GPUs and CPUs by 8% compared to the original versions, while on NVIDIA GPUs SYCL offers equivalent performance compared to the native CUDA implementation.
Assessing the impacts of land use land cover change on water resources. The case of Nile River Basin, Ethiopia
Authors: Gedefaw Mohammed 
Published: December 2022

Abstract
This study investigated the trends of climate change and land use land cover changes of Nile river basin. The trends of climate were analyzed using Mann-Kendall test, Sen’s slope estimator test and innovative trend analysis method. NDVI and Transformation matrix was employed to analyze the spatial and temporal patterns of land cover and vegetation patterns during 2001–2013. The findings revealed that the forestland and water resource was decreased by 3429.62 Km2 and 81.45 Km2 respectively. On the other hand, grassland, cultivated land, urban 2779.33 Km2, 535.34 Km2 and 0.65Km2 increased respectively. Reduction of NDVI value by 0.1 was observed in 2013 in the southern part of the basin. A significant increasing trend of precipitation was observed in Gondar (Z = 1.69) and Motta (Z = 0.93) stations. However, the trend was decreasing in Adet (Z= -0.32), Dangla (Z= -0.37) and Bahir Dar stations. The trend of temperature was increasing in all stations. The significant changes in land use land cover might be caused by human induced activities in the basin.
Quantum Transports in Two-Dimensions with Long Range Hopping: Shielding, Localization and the Extended Isolated State
Authors: Wang Si-Si , Li Kangkang , Dai Yi-Ming , Wang Hui-Hui , Zhang Yi-Cai , Zhang Yan-Yang 
Published: December 2022

Abstract
We investigate the effects of disorder and shielding on quantum transports in a two dimensional system with all-to-all long range hopping. In the weak disorder, cooperative shielding manifests itself as perfect conducting channels identical to those in the short range model, as if the long range hopping does not exist. With increasing disorder, the average and fluctuation of conductance are larger than those in the short range model, since the shielding is effectively broken and therefore long range hopping starts to take effect. Nevertheless, size scaling shows no evidence of delocalized states in the band in spite of a better connectivity from long range hopping. The all-to-all coupling expels one isolated but extended state far out of the band, whose transport is extremely robust against disorder due to absence of backscattering. The bond current picture of this isolated state shows a quantum version of short circuit through long hopping.
GPR43 stimulation on TCRαβ+ intraepithelial colonic lymphocytes inhibits the recruitment of encephalitogenic T-cells into the central nervous system and attenuates the development of autoimmunity
Authors: Prado Carolina , Espinoza Alexandra , Martínez-Hernández J. Eduardo , Petrosino Joseph , Riquelme Erick , Martin Alberto J.M. , Pacheco Rodrigo 
Published: December 2022

Abstract
Introduction

Gut microbiota plays a critical role in the regulation of immune homeostasis. Accordingly, several autoimmune disorders have been associated with dysbiosis in the gut microbiota. Notably, the dysbiosis associated with central nervous system (CNS) autoimmunity involves a substantial reduction of bacteria belonging to Clostridia clusters IV and XIVa, which constitute major producers of short-chain fatty acids (SCFA). Here we addressed the role of the surface receptor-mediated effects of SCFA on mucosal T-cells in the development of CNS autoimmunity.

Methods

To induce CNS autoimmunity we used the mouse model of experimental autoimmune encephalomyelitis (EAE) induced by immunization with the myelin oligodendrocyte glycoprotein (MOG)-derived peptide (MOG35 − 55 peptide). To address the effects of GPR43 stimulation on colonic TCRαβ+ T-cells upon CNS autoimmunity, mucosal lymphocytes were isolated and stimulated with a selective GPR43 agonist ex vivo and then transferred into congenic mice undergoing EAE. Several subsets of lymphocytes infiltrating the CNS or those present in the gut epithelium and gut lamina propria were analysed by flow cytometry. In vitro migration assays were conducted with mucosal T-cells using transwells.

Results

Our results show a sharp and selective reduction of intestinal propionate at the peak of EAE development, accompanied by increased IFN-γ and decreased IL-22 in the colonic mucosa. Further analyses indicated that GPR43 was the primary SCFA receptor expressed on T-cells, which was downregulated on colonic TCRαβ+ T-cells upon CNS autoimmunity. The pharmacologic stimulation of GPR43 increased the anti-inflammatory function and reduced the pro-inflammatory features in several TCRαβ+ T-cell subsets in the colonic mucosa upon EAE development. Furthermore, GPR43 stimulation induced the arrest of CNS-autoreactive T-cells in the colonic lamina propria, thus avoiding their infiltration into the CNS and dampening the disease development. Mechanistic analyses revealed that GPR43-stimulation on mucosal TCRαβ+ T-cells inhibits their CXCR3-mediated migration towards CXCL11, which is released from the CNS upon neuroinflammation.

Conclusions

These findings provide a novel mechanism involved in the gut-brain axis by which bacterial-derived products secreted in the gut mucosa might control the CNS tropism of autoreactive T-cells. Moreover, this study shows GPR43 expressed on T-cells as a promising therapeutic target for CNS autoimmunity.
Nitrogen Forms and Concentration Influence the Impact of Titanium dioxide Nanoparticles on the Biomass and Antioxidant Enzyme Activities of Microcystis aeruginosa
Authors: Samuel Sadiya Awala , Chia Mathias Ahii , Yusufu Waetsi Nya , Dauda Suleiman , Japhet Wisdom Sohunago , Habila James Dama 
Published: December 2022

Abstract
The popularity of Nanoparticles (NPs) have led to their wide production, applications and subsequently released into the aquatic environment in some instances. In the aquatic ecosystem, these NPs affect different populations of photosynthesizing organisms, such as cyanobacteria. The effect of Microcystis aeruginosa exposed to titanium dioxide nanoparticles (TiO2-NPs, 48 mg l− 1), in combination of low and high concentrations of urea (0.04 mM) and nitrate (9 Mm) was assessed. Microcystins (MCs) production and release were monitored in the cyanobacterium. Results showed that high urea (9 mM), combined with TiO2-NPs, inhibited the growth, pigment and malondialdehyde (MDA) content by 82%, 63% and 47% respectively. But 40.7% and 67.7% increase in the concentration of Reactive Oxygen Species (ROS) and glutathione S-transferase (GST) activity was observed in M. aeruginosa respectively. Similarly, low nitrate (0.04 mM) combined with TiO2-NPs inhibited growth by 40.3% and GST activity by 36.3%, but stimulated pigment production and ROS concentration in M. aeruginosa. A response suggests that the high urea combined with TiO2 –NPs and high nitrate combined with TiO2 –NPs exposure induced oxidative stress in the cyanobacterium. The peroxidase (POD) activity of M. aeruginosa decreased by 17.7% with increasing urea concentrations. Our findings suggest TiO2-NPs and nutrients (urea and nitrate) concentration may adversely impact cyanobacterial development and antioxidant defense enzymes. Although the effect of nitrate concentration on M. aeruginosa was observed to be subsidiary.
Genome-wide identification, evolutionary, and expression analyses of the PP2C gene family in Castanea mollissima Blume.
Authors: Shang Wenli , Wang Xuan , Li Mingyuan , Wang Dongsheng , Wang Meng , Lu Yi , Zhang Haie , Zhang Jingzheng , Liu Jing 
Published: December 2022

Abstract
Chestnut (Castanea mollissima Bl.) is an economically important tree species that is primarily utilized for nut and timber production. The protein phosphatase 2C (PP2C) gene family contributes largely to stress responses and developmental processes in several plants. However, the classification, characteristics, and functions of chestnut PP2C genes are unknown. Here, we provide comprehensive analyses and expression profiles of PP2C genes in the chestnut genome. A total of 68 genes were identified, whose protein length (PL), molecular weights (MW) and isoelectric points (IP) are 186 ~ 1079 amino acids, 20.31 ~ 119.40 kDa, and 4.66 ~ 9.30, respectively. They are randomly distributed on 12 chromosomes. These genes formed 12 phylogenetic clusters. Most CmPP2C (PP2C in chestnut) proteins within a subgroup had similar compositions of amino acid sequences of motifs, conserved domains, and exon/introns, according to phylogenetic analyses. The expression profile analysis revealed both significant CmPP2C expression levels in leaves and seeds, and the clear involvement of CmPP2C22 in seed development and multiple abiotic stresses. These findings indicate that CmPP2C genes play potential vital roles in chestnut response to multiple abiotic stresses and provide new insights into the function of CmPP2C genes.
Effect of zinc on the T cells reconstitution after autologous hematopoietic stem cell transplantation: a study protocol
Authors: Nikoonezhad Maryam , Hosseini Ahmad Zavaran , Hajifathali Abbas , Parkhideh Sayeh , Shadnoush Mahdi , Shakiba Yadollah , Zahedi Hoda 
Published: December 2022

AbstractBackground:Post-transplant immune reconstitution has a significantly effect on "hematopoietic stem cell transplantation (HSCT)" outcomes. Delay in immune reconstitution increases the risk of infections and disease relapse after transplantation. Recovery of T cells is mainly thymus-dependent. Thymic atrophy is associated with various clinical conditions that lead to a reduced thymic output. Therefore, thymus rejuvenationcan improve immune reconstitution after transplantation. Zn plays a pivotal role in thymus rejuvenation. Zinc deficiency can lead to thymic atrophy, which increases susceptibility to infections. Zinc supplementation restores the immune system by boosting thymus output and T cell repertoire production. This protocol was designed to investigate the effect of oral zinc supplementation on T cell recovery in patients undergoing HSCT. Methods: Forty eligible candidates for autologous-HSCT will be selected. They will be randomly divided into "zinc" and placebo groups. Subsequently, they will receive three zinc or placebo tablets for the first 30 days post HSCT (+1 to +30), followed by one tablet or placebo for 60 days (+31 to +90). The copy numbers of "recent thymic emigrants (RTEs)" T cells and "T cell Receptor Excision Circles (TREC)" will be assessed before and after the intervention. All patients will be followed up for 365 days post HSCT for relapse and infection.Discussion:This clinical trial is the first to determine the efficiency of "zinc" in T cell recovery post HSCT. If successful, an available and inexpensive drug will improve immune system reconstruction after HSCT, reduce the risk of infection, particularly viral infections, and increase patient survival.Trial registration number:IRCT20191211045701N1
Insilico-based identification of survival-associated lncRNAs, mRNAs and, miRNAs in breast cancer
Authors: Sadeghi Mahboubeh , Cava Claudia , Mousavi Pegah , Sabetian Soudabeh 
Published: December 2022

AbstractAim: We aimed to analyze a unique competing endogenous RNA (ceRNA) network encompassing possible pathogenic interaction among miRNA–target gene and lncRNAs related to breast cancer prognosis.Background: Breast cancer is responsible for 30% of all new female cancers each year. Bioinformatics serve us to find new biomarkers and facilitate future experimental research.Objective: In this article we propose a novel regulatory ceRNA network and a list of 22 genes, lncRNAs and four miRNAs related to breast cancer prognosis.Methods: Differentially expressed lncRNAs, mRNAs, and miRNAs were collected based on Gene Expression Omnibus datasets. DEGs were validated based on TCGA. Functional analysis and pathway activity were also done.Results: A total of 696 mRNAs, 48 lncRNAs and, 43 miRNAs were identified to have significant differential expression in cancerous breast tissue than normal breast tissue samples. Functional analysis showed significant pathway enrichments in cancer, and we found that 13 individual genes, lncRNAs, and miRNAs, CDC6, ERBB2, EZR, HELLS, MAPK13, MCM2, MMP1, SLC7A5, TINCR, TRIP13, hsa-miR-376a, hsa-miR-21, hsa-miR-454 were significantly predictive of poor overall survival and AKAP12, CXCL12, FGF2, IRS2, LINC00342, LINC01140, MEG3, MIR250HG, NAV3, NDRG2, NEAT1, TGFBR3 and, hsa-miR-29c were associated with favorable overall survival.Conclusions: We successfully made a unique ce-network, providing new clues to understand the regulatory functions of non-coding RNAs (miRNAs and lncRNAs) in the pathogenesis and prognosis of breast cancer and will facilitate further experimental studies to develop new biomarkers in the diagnosis, prognosis and, therapy of breast cancer.
Karyotype stasis but species-specific repetitive DNA patterns in Anguis lizards (Anguidae), in the evolutionary framework of Anguiformes
Authors: Altmanová Marie , Doležálková-Kaštánková Marie , Jablonski Daniel , Strachinis Ilias , Vergilov Vladislav , Vacheva Emiliya , Ráb Petr , Moravec Jiří , Gvoždík Vašek 
Published: December 2022

Abstract
Karyotype divergence may strongly affect the rate of hybridization between species in their secondary contact zones. Slow worms (Anguis, Anguidae) are morphologically relatively cryptic legless lizards representing two evolutionary lineages, A. cephallonica from the southernmost Balkans, and the A. fragilis species complex (comprising two sister-species pairs A. fragilis + A. veronensis and A. colchica + A. graeca) distributed in the Western Palearctic. To identify their level of chromosomal variation, we surveyed karyotype of all species except formerly studied A. veronensis and included Pseudopus apodus as an outgroup. We applied conventional and molecular cytogenetic methods and whole-chromosome painting using macrochromosome probes from Varanus komodoensis and interpreted the results within the evolutionary framework of the common clade Anguiformes. Unlike New World anguids with remarkable karyotype variation, all Anguis species and P. apodus have conserved diploid chromosome number 2n = 44 (20 macrochromosomes, 24 microchromosomes) and morphology. The sister species A. colchica and A. graeca (divergence 4.4 Mya) displayed highly similar karyotype features within our sample. In contrast, despite the generally conserved chromosome morphology, the phylogenetically older A. cephallonica (divergence 12.0 Mya), and A. colchica versus A. fragilis (divergence 6.7 Mya) exhibited distinct patterns of constitutive heterochromatin distribution and telomeric repeat accumulation. The chromosome painting revealed that slow worm karyotype mostly evolved by fissions of ancestral macrochromosomes, which likely occurred already in an Anguis + Pseudopus common ancestor. Our findings thus demonstrate karyotype stasis in Anguis and Pseudopus for > 25 My, with fixed species-specific differences which may serve as cytotaxonomic markers useful in hybrid zone studies of slow worms.
Variability in soil quality among smallholder macadamia farms in Malawi
Authors: Zuza Emmanuel Junior 
Published: December 2022

Abstract
Declining soil fertility limits smallholder macadamia productivity in Malawi. In order to reverse this trend, it is essential to apply organic and inorganic fertilisers in an efficient and effective manner. Yet, fertiliser recommendations for smallholder macadamia (Macadamia integrifolia) production in Malawi are not site-specific. Nutrient imbalances can occur if fertilisers are applied without a clear understanding of whether they are required or not. This may lead to yield losses, unnecessary costs, and other environmental issues associated with excess fertiliser application. To address this knowledge gap, our study examined the current soil fertility status among smallholder macadamia farms in Malawi. Specifically, the objective was to establish an evidence base for promoting soil fertility restoration interventions for smallholder macadamia production. One hundred and eighty nine soil samples at a depth of 0–15 cm were collected from sixty three smallholder macadamia farms belonging to the Highlands Macadamia Cooperative Union Limited members in central and southern Malawi. We found that the majority of the soils were sandy loams (52%), strongly acidic (mean pH ≤ 5.1), and deficient in essential nutrients required for the healthy growth of macadamia. The soils had an average low cation exchange capacity of 1.67 cmol (+) kg− 1, which is inadequate for macadamia cultivation. Over half of the sampled soils had very low organic matter content (≤ 1%). The low soil organic matter content, coupled with the sandy texture and high acidity, contributed to the observed low concentrations of essential nutrients and cation exchange capacity. Poor agronomic practices and the long-term uptake of nutrients by macadamia trees and annual crops are responsible for this low soil fertility. Altogether, our findings underscore the urgent need to identify and implement more sustainable and effective soil nutrient management practices that help to improve the soil fertility of macadamia farms under smallholder systems.
Tunable Coupling in Magnetic Thin Film Heterostructures with a Magnetic Phase Transition
Authors: Repa Kristen Stojak , Kirby Brian J. , Miller Casey W. 
Published: December 2022

Abstract
The magnetic properties of permalloy-based trilayers of the form Py0.8Cu0.2/Py0.4Cu0.6/Py/IrMn were studied as the spacer layer undergoes a paramagnetic to ferromagnetic phase transition. We find the coupling between the free Py0.8Cu0.2 layer and the exchange bias pinned Py to be strongly temperature-dependent: there is negligible coupling above the Curie temperature of the Py0.4Cu0.6 spacer layer, strong ferromagnetic coupling below that temperature, with a tunable coupling between these extremes. Polarized neutron reflectometry was used to measure the depth profile of the magnetic order in the system, allowing us to correlate the order parameter with the coupling strength. The thickness dependence shows that these are interface effects with an inverse relationship to thickness, and that there is a magnetic proximity effect that enhances the Curie temperature of the spacer layer with characteristic length scale of about 5 nm. As a demonstration of potential functionality of such a system, the structure is shown to spontaneously flip from the antiparallel to parallel magnetic configuration once the spacer layer has developed long-range magnetic order.