Miracle-dz/UniFAR-FTUs huggingface dataset:
Construction de solutions singulières pour des équations aux dérivées partielles non linéaires

Soit P un operateur quasilineaire d'ordre m: u→Pu=Σ | α |=m P(x, u, ., δ x βu, .) | β |≤m−1 δα x u+R(x,δβu), ou les Pα, R sont holomorphes en leurs arguments pour x pres de O∈C n+1 , δ x βu pres de u 0 ( β ) ∈C, β∈N n+1 ; |β|≤m−1. On construit des solutions locales u(x) de l'equation Pu=0, la fonction u(x) etant holomorphe ramifiee autour d'une hypersurface complexe lisse φ passant par O∈C n+1 d'equation s(x)=0
Identifying cancer-associated leukocyte profiles using high-resolution flow cytometry screening and machine learning

Background Machine learning (ML) is a valuable tool with the potential to aid clinical decision making. Adoption of ML to this end requires data that reliably correlates with the clinical outcome of interest; the advantage of ML is that it can model these correlations from complex multiparameter data sets that can be difficult to interpret conventionally. While currently available clinical data can be used in ML for this purpose, there exists the potential to discover new “biomarkers” that will enhance the effectiveness of ML in clinical decision making. Since the interaction of the immune system and cancer is a hallmark of tumor establishment and progression, one potential area for cancer biomarker discovery is through the investigation of cancer-related immune cell signatures. Hence, we hypothesize that blood immune cell signatures can act as a biomarker for cancer progression. Methods To probe this, we have developed and tested a multiparameter cell-surface marker screening pipeline, using flow cytometry to obtain high-resolution systemic leukocyte population profiles that correlate with detection and characterization of several cancers in murine syngeneic tumor models. Results We discovered a signature of several blood leukocyte subsets, the most notable of which were monocyte subsets, that could be used to train CATboost ML models to predict the presence and type of cancer present in the animals. Conclusions Our findings highlight the potential utility of a screening approach to identify robust leukocyte biomarkers for cancer detection and characterization. This pipeline can easily be adapted to screen for cancer specific leukocyte markers from the blood of cancer patient.
Moving Object Trajectory Based Intelligent Traffic Information Hub

Congestion is a major problem in most metropolitan areas and given the increasingrate of urbanization it is likely to be an even more serious problem in the rapidlyexpanding mega cities. One possible method to combat congestion is to provide in-telligent trafﬁc management systems that can in a timely manner inform drivers aboutcurrent or predicted trafﬁc congestions that are relevant to them on their journeys. Thedetection of trafﬁc congestion and the determination of whom to send in advance no-tiﬁcations about the detected congestions is the objective of the present research. Byadopting a grid based discretization of space, the proposed system extracts and main-tains trafﬁc ﬂow statistics and mobility statistics from the grid based recent trajectoriesof moving objects, and captures periodical spatio-temporal changes in the trafﬁc ﬂowsand movements by managing statistics for relevant temporal domain projections, i.e.,hour-of-day and day-of-week. Then, the proposed system identiﬁes a directional con-gestion as a cell and its immediate neighbor, where the speed and ﬂow of the objectsthat have moved from the neighbor to the cell signiﬁcantly deviates from the histori-cal speed and ﬂow statistics. Subsequently, based on one of two notiﬁcation criteria,namely, Mobility Statistic Criterion (MSC) and Linear Movement Criterion (LMC),the system decides which objects are likely to be affected by the identiﬁed conges-tions and sends out notiﬁcations to the corresponding objects such that the numberof false negative (missed) and false positive (unnecessary) notiﬁcations is minimized.The thesis discusses the design and DBMS-based implementation of the proposedsystem. Empirical evaluations on realistically simulated trajectory data assess the ac-curacy of the methods and test the scalability of the system for varying input sizes andparameter settings. The accuracy assessment results show that the MSC based systemachieves an optimal performance with a true positive notiﬁcation rate of 0.67 and afalse positive notiﬁcation rate of 0.05 when min prob equals to 0.35, which is superiorto the performance of the LMC based system. The execution time of- and the spaceused by the system scales linearly with the input size (number of concurrently movingvehicles) and the methods mutually dependent parameters (grid resolution r and RTlength l) that jointly deﬁne a spatio-temporal resolution. Within the area of a large city (40km by 40km), assuming a 60km/h average vehicle speed, the system, runningon a commodity personal computer, can manage the described congestion detectionand three-minute-ahead notiﬁcation tasks within real-time requirements for 2000 and20000 concurrently moving vehicles for spatio-temporal resolutions (r=100m, l=19)and (r=2km, l=3), respectively.
Frontiers in Aging Neuroscience Aging Neuroscience Review Article

of neuronal structures and functions are well documented by the neuroscience community, what is less appreciated is the diverse response of brain neurons to stresses and adverse factors during aging or as a result of neurodegenerative diseases. A pronounced yet underappreciated phenomenon in the response of different neuronal populations to stressful neuro-degenerative conditions is the appearance of selective neuronal vulnerability (SNV). SNV refers to the differential sensitivity of neuronal populations in the CNS to stresses that cause cell injury or death and lead to neurodegeneration. For example, neurons in the entorhinal cortex, hippocampus CA1 region, frontal cortex , and amygdala are the populations of neurons most sensitive to the neurodegeneration associated with Alzheimer's disease In Parkinson's disease (PD), dopaminergic neurons of the substantia nigra are the primary neurons undergoing cell death And, amyotrophic lateral sclerosis (ALS) is characterized by the degeneration of, primarily, spinal motor neurons, but also cortical and brain stem neurons (Rowland and Shneider, 2001). The fact that specifi c brain regions exhibit differential vulner-abilities to various neurodegenerative diseases is a refl ection of both the specifi city in the etiology of each disease and of the heterogeneity in neuronal responses to cell-damaging processes
Frontiers in Aging Neuroscience Aging Neuroscience Review Article the Kibra Gene and Protein

cognition are sought to broaden the spectrum of pharmacologically addressable targets and hypotheses. The KIBRA-pathway appears to present a novel promising inroad for this, since KIBRA has been both linked to normal cognitive performance and to Alzheimer's disease. Here, we highlight the most important functional aspects of KIBRA, and connect genetic and biochemical data to aid in the formation of hypotheses related to KIBRA's cellular and molecular function. KIBRA was fi rst cloned and initially characterized by Kremerskothen et al. (2003) as a molecule that interacts with the postsynaptic protein dendrin. Human KIBRA, encoded by the WWC1 gene, is located on chromosome 5q35.1, and contains 1113 amino acids and has a predicted size or 125.3 kDa. From N-to C-terminus a number of known protein domains have been identifi ed which are depicted in Figure 1. The WW-domains (aa 6–86), which cover a stretch of 35–40 amino acids contain two conserved tryptophan residues. These domains are responsible for the interaction with various proteins containing proline-rich sequences (PPxY). A putative nuclear localization signal was identifi ed between amino acids 361–376 (Rayala et al., 2006). A C2 domain composed of two four-stranded β-sheets is located between amino acid 655 and 783. The 130 residues of the C2 domain are involved in binding phospholipids in a calcium-dependent manner. C2 domains are found in proteins with functions ranging from signal transduction to vesicular traffi cking (Rizo and Sudhof, 1998). Calcium binding induces a change in the electrostatic potential, which enhances phospholipid binding. A glutamic acid-rich region is located between amino acids 845 and
IDENTIFICATION OF GAEUMANNOMYCES SPECIES IN TURFGRASS AREAS AND CONTROLLING THE DISEASES BY SOME ENDOPHYTES AS BIOLOGICAL AGENTS

Take-all disease caused by Gaeumannomyces species bring about economic loses in turfgrass cereals. Surveys were conducted in turfgrass areas in Türkiye and isolations were done from the 318 samples which were taken from irregularly shaped chlorotic patches, and the roots of which are close to dark brown or black. As a consequence of the isolations, fourteen Gaeumannomyces spp. were isolated, and then identifications were performed with rDNA sequence analysis using primers ITS1 and ITS4. Comparison of the ITS sequences with the isolates in the GenBank database, and phylogenetic analysis showed that the isolates belonged to Gaeumannomyces graminis var. graminis, Gaeumannomyces californicus and Gaeumannomyces cylindrosporus . As a result of the pathogenicity tests, virulence of G. graminis var. graminis and G. californicus isolates were higher than that of G. cylindrosporus . Disease severity rates caused by the isolates, as a result of in vitro trials were between 11.83-97.61%, and those in in vivo ranged from 3.70-89.64%. As a result of in vivo tests, it was detected that the most virulent isolate was G. graminis var. graminis numbered 732 followed by 966, 1345, 1369, 1385 and G. californicus numbered 1573, 1925. In this study, the effects of Chaetomium globosum, C. bostrychodes, Sordaria fimicola, Clonostachys rosea, Trichoderma harzianum and T. hamatum fungi, which were previously determined as endophyte species in turfgrass areas, against the most virulent species G. graminis var graminis , were also investigated. As a result of biological control studies, efficacy of C. globosum CG07-1, Chaetomium bostrychodes CB07-2, Trichoderma hamatum Tha34-2 and Trichoderma harzianum TH06-5 strains were found as 86.31%, 83.25%, 70.07, and 64.01% respectively. These strains were found promising in the biological control of ‘take-all disease’ caused by G. graminis var graminis in turfgrass areas.
Prevalence of missed canals in endodontically treated teeth: A cone-beam computed tomography study

Background This study aimed to measure the prevalence of untreated root canals and periapical lesions in endodontically treated teeth using cone-beam computed tomography (CBCT) and their association with the coronal seal. Material and Methods This cross-sectional study assessed CBCT images of studied patients alongside documented information from their dental examinations. The assessment method for analyzing CBCT images after including endodontically treated teeth was the presence of missed canals, and periapical lesions were analyzed in three dimensions. Results The evaluations from 772 teeth demonstrated that 89.4% of teeth had the proper coronal seal, 13.3% owned missed root canals, and 29.4% had periapical lesions. Most untreated canals belonged to maxillary first molars (71.8%) and mandibular lateral incisors (33.3%). The prevalence of periapical lesions was highest in mandibular lateral incisors (58.3%) and maxillary second molars (55.8%). In teeth with missed canals, the most periapical lesions were observed in the first premolars of both jaws. In teeth with the lack of proper coronal seal, the periapical lesions were observed in 55.6% of teeth with untreated root canals. Conclusions The results revealed a high prevalence of missed canals and periapical lesions in endodontically treated teeth in our study population. Key words:Untreated Root Canals, Periapical Lesions, 3-D Dental Imaging, Dental Treatment Failure.
The Impact of Dollarization on Consumption and Savings Behavior in Dili Timor-Leste (Case Study: Permanent Civil Servants)

Dollarization is adopting the U.S. dollar as the currency of choice in a foreign country. A small nominal value of the dollar pushed the price in the market becomes more expensive. Coupled with the community of Dili, Timor-Leste that the behavior of consumption is very high because it always gives more priority to their culture. Saving behavior of Timorese people affect by three factors: the low price (using U.S dollar), income and culture. Therefore, this research aims to identified the effect of dollarization on consumption behavior and saving behavior of permanent civil servants in Dili, Timor-Leste. We use 315 samples in our research and the data collection through questionnaires. SMART-PLS 3.0 was used to test hypothesis. The result showed that dollarization has the positive and significant effect on the consumption behavior of permanent civil servants in Dili, Timor-Leste. Therefore, dollarization has positive and significant effect on saving behavior of permanent civil servants in Dili, Timor-Leste.
Spatial and Temporal Changes in Tsunami Risk Perception in Canterbury

Risk perception for rare, low-probability hazards, such as tsunamis, tends to be low due to individual’s unfamiliarity with them and the tendency to see them as synonymous with non-occurrence events. Visitors to an area tend to have even lower risk perception and knowledge of hazards, warning systems and appropriate actions to take during an event. Risk perception, however, can increase, if only temporarily, after a catastrophic event, such as the 2004 Boxing Day tsunami. To determine the changes in resident’s knowledge and perception and the differences between those of residents and visitors two surveys were conducted. In the first survey interview style surveying was conducted at eleven locations in the coastal Christchurch and Banks Peninsula area of the Canterbury Region The questionnaire was composed of scaled, open, and closed ended questions and the main themes included knowledge of risk, preparation and warnings, what to do during a tsunami, and changes since the 2004 Boxing Day tsunami. The second survey of five coastal communities was conducted via a postal questionnaire and was aimed at obtaining residential views. Survey data was then analysed with Statistical Package for the Social Sciences (SPSS) statistical software. The residential data was compared with that of the non-residents to determine the differences in perception of residents and visitors. The residential information was then compared with survey data from the 2003 National Coastal Survey. Visitors knew less about general tsunami information such as when the last tsunami occurred and were less likely to believe that a tsunami could occur imminently. Non-residents reported less receipt of information and did considerably less information seeking. Differences in knowledge of warning systems were difficult to ascertain. The Boxing Day event certainly made an impact, increasing people’s knowledge and awareness, though most likely only temporarily.
China and the environment : the green revolution

* Introduction: The return of Chinese civil society - Isabel Hilton * 1. China's environmental journalists: a rainbow confusion - Sam Geall * 2. The birth of Chinese environmentalism: key campaigns - Olivia Boyd * 3. The Yangzonghai case: struggling for environmental justice - Adam Moser * 4. Alchemy of a protest: the case of Xiamen PX - Jonathan Ansfield * 5. Defending Tiger Leaping Gorge - Liu Jianqiang
Using RADseq to resolve species boundaries in a morphologically complex group of yellow-flowered shrubs (Geleznowia, Rutaceae)

ABSTRACT The morphologically complex and charismatic genus Geleznowia (Rutaceae) is endemic to south-western Australia and faces existing and potential conservation issues associated with land clearing, climate change and commercial harvesting. Two species are currently recognised in the genus, but horticulturally recognised forms and phrase-named taxa reflect additional suspected species diversity. The genus exhibits complicated and subtle patterns of morphological variation that have historically inhibited delimitation of taxonomic entities and, as a result, precluded effective conservation assessments. Here we used ddRAD data from 25 populations across the range of Geleznowia to elucidate genomic diversity in the group in conjunction with morphological re-assessment so as to delimit species and revise the taxonomy. Our analyses consistently identified seven entities that maintain genomic distinctiveness even in sympatry with other entities, supporting the inference of reproductive barriers and lineage divergence. Morphological assessment of more than 300 specimens corroborated these seven taxa. Consequently, we recognise seven species of Geleznowia in Western Australia, retaining G. amabilis K.A. Sheph. & A.D.Crawford, recircumscribing G. verrucosa Turcz. , reinstating G. calycina (J.Drumm. ex Harv.) Benth. , and naming four new species as G. eximia K.A. Sheph. & A.D.Crawford, G. narcissoides K.A. Sheph. & A.D.Crawford, G. occulta K.A. Sheph. & A.D.Crawford, and G. uberiflora K.A. Sheph. & A.D.Crawford.
Second-Order Chaotic Maps With Random Coefficients to Generate Complex Chaotic Sequences for High-Security Image Encryption

Chaotic maps have been widely applied on image encryption for their complexity and sensitivity to key variation. In this work, we propose second-order chaotic maps with optimized random coefficients to generate chaotic sequences for image encryption. Two screening conditions are proposed to identify 300 candidate chaotic maps in terms of complexity indices <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math></inline-formula> and spectral entropy (SE). A particle swarm optimization algorithm is developed to search for the optimal chaotic maps under eight different weighting schemes. The optimal chaotic maps can achieve <inline-formula> <tex-math notation="LaTeX">$N_{p} = 2$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$D_{KY} = 2$ </tex-math></inline-formula>, CD <inline-formula> <tex-math notation="LaTeX">$= 2$ </tex-math></inline-formula>, <inline-formula> <tex-math notation="LaTeX">$K > 0.9$ </tex-math></inline-formula>, SE <inline-formula> <tex-math notation="LaTeX">$> 0.9$ </tex-math></inline-formula> and PE <inline-formula> <tex-math notation="LaTeX">$> 0.7$ </tex-math></inline-formula>. Key sensitivity analysis on all the system parameters and initial values confirms high security of the optimal chaotic maps. A hybrid sequence generation (HSG) scheme is also proposed to further reduce the image encryption time.
Genomic traits of multidrug resistant enterotoxigenic Escherichia coli isolates from diarrheic pigs

Diarrhea caused by enterotoxigenic Escherichia coli (ETEC) infections poses a significant challenge in global pig farming. To address this issue, the study was conducted to identify and characterize 19 ETEC isolates from fecal samples of diarrheic pigs sourced from large-scale farms in Sichuan Province, China. Whole-genome sequencing and bioinformatic analysis were utilized for identification and characterization. The isolates exhibited substantial resistance to cefotaxime, ceftriaxone, chloramphenicol, ciprofloxacin, gentamicin, ampicillin, tetracycline, florfenicol, and sulfadiazine, but were highly susceptible to amikacin, imipenem, and cefoxitin. Genetic diversity among the isolates was observed, with serotypes O22:H10, O163orOX21:H4, and O105:H8 being dominant. Further analysis revealed 53 resistance genes and 13 categories of 195 virulence factors. Of concern was the presence of tet(X4) in some isolates, indicating potential public health risks. The ETEC isolates demonstrated the ability to produce either heat-stable enterotoxin (ST) alone or both heat-labile enterotoxin (LT) and ST simultaneously, involving various virulence genes. Notably, STa were linked to human disease. Additionally, the presence of 4 hybrid ETEC/STEC isolates harboring Shiga-like toxin-related virulence factors, namely stx2a, stx2b, and stx2e-ONT-2771, was identified. IncF plasmids carrying multiple antimicrobial resistance genes were prevalent, and a hybrid ETEC/STEC plasmid was detected, highlighting the role of plasmids in hybrid pathotype emergence. These findings emphasized the multidrug resistance and pathogenicity of porcine-origin ETEC strains and the potential risk of epidemics through horizontal transmission of drug resistance, which is crucial for effective control strategies and interventions to mitigate the impact on animal and human health.
Rapid liquid chromatography-tandem mass spectrometry routine method for simultaneous determination of sirolimus, everolimus, tacrolimus, and cyclosporin A in whole blood.

With the introduction of the novel immunosuppressive agents sirolimus and everolimus, new, potentially more effective immunosuppressive regimens are undergoing clinical evaluation. Whereas the calcineurin inhibitors cyclosporin A (CsA) and tacrolimus suppress early activation of T lymphocytes through inhibition of cytokines such as interleukin 2, the primary target of sirolimus and everolimus is mammalian target of rapamycin (mTOR), a specific cell-cycle regulatory protein. The inhibition of mTOR leads to suppression of cytokine-driven T-lymphocyte proliferation (1). Because of their distinct modes of action, a calcineurin inhibitor and an mTOR inhibitor act synergistically to block acute allograft rejection (2)(3)(4). Current evidence (5) suggests that drug monitoring is necessary, not only for the calcineurin inhibitors, but also for the mTOR inhibitors. In contrast to the calcineurin inhibitors, however, there are currently no commercially available immunoassays for the latter two drugs. There is a need, therefore, for assays that can simultaneously quantify both the calcineurin and the mTOR inhibitors. Furthermore, a major shortcoming of the commercial immunoassays for CsA and tacrolimus is their cross-reactivity with unpredictable amounts of both active and inactive metabolites of the parent drugs in patient samples. In the case of CsA, no immunoassay has completely fulfilled the criteria recommended by a consensus panel (6). New developments in immunosuppression protocols require that assays for calcineurin inhibitors provide broader dynamic ranges. On the one hand, C2 monitoring has been proposed for optimizing dosage of the CsA microemulsion (7), thereby necessitating quantification of CsA at concentrations up to 2500 μg/L: the lack of validated dilution protocols can be a problem for C2 monitoring (8). On the other hand, lower target ranges for CsA (5) and tacrolimus (9) are being investigated for long-term maintenance therapy to minimize the adverse side effects, in particular nephrotoxicity, of these drugs. Current immunoassays exhibit …