Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of BCR::ABL1 transcript type and droplet digital polymerase chain reaction on successful treatment-free remission in chronic myeloid leukemia patients who discontinued tyrosine kinase inhibitor

Background: Droplet digital polymerase chain reaction (ddPCR) is an exact method of measurement. Objectives: We conducted this study to identify the prognostic factors for successful treatment-free remission in patients with chronic-phase chronic myeloid leukemia who discontinued tyrosine kinase inhibitors (TKIs). We also aimed to validate ddPCR for predicting molecular relapse. Design: This is a prospective, multicenter study. Methods: We enrolled patients treated with TKIs for at least 3 years with a confirmed sustained deep molecular response (DMR) for at least 1 year. TKI was re-administered in patients who experienced the loss of major molecular response (MMR). Results: A total of 66 patients from five institutions in South Korea were enrolled. During a median follow-up period of 16.5 months, 29/66 (43.9%) patients experienced molecular relapse; the probability of molecular relapse-free survival (RFS) at 6 or 12 months after TKI discontinuation was 65.6% or 57.8%, respectively, with most molecular relapses occurring within the first 7 months. All patients who lost MMR were re-treated with TKI, and all re-achieved MMR at a median of 2.8 months. E14a2 transcript type (p = 0.005) and longer DMR duration (⩾48 months) prior to TKI discontinuation (p = 0.002) were associated with prolonged molecular RFS and with sustained DMR. Patients with both e13a2 transcript type and detectable BCR::ABL1 (⩾MR5.0) by ddPCR at the time of TKI discontinuation showed shorter duration of molecular RFS (p = 0.015). Conclusion: Our data suggest that transcript type and BCR::ABL1 transcript levels on ddPCR should be taken into consideration when deciding whether to discontinue TKI therapy.
Missing data filling in soft sensing using denoising diffusion probability model

With the aim of addressing the problem of degradation in soft measurement accuracy due to missing data in industrial processes, a filling method based on the denoising diffusion probability model (DDPM) is proposed here to improve the accuracy of soft measurement modeling. First, missing regions are detected with the help of an improved Isolation Forest algorithm to obtain information such as the locations and numbers of missing data regions. Next, a data generation model is constructed based on DDPM and new samples are obtained. By adjusting the threshold for normal operation of the system and the weight sampler, filler samples that are similar to the distribution of the original data can be filtered from the new samples to form a complete dataset. The feasibility of the proposed missing data filling method is explored through numerical simulations, and its superiority in terms of improving the prediction accuracy of soft measurements is verified in regard to the nickel flash smelting process.
Immune signatures of the POLE mutation in endometrial carcinomas: a systematic study based on TCGA data and clinical cohort validation

Background POLE is a critical biomarker for endometrial cancer (ECs) prognosis and therapeutic decision. However, the immune infiltration and immunotherapy-related gene expression in the tumor microenvironment (TME) of POLE-mutated ECs remain unresolved. Methods The TCGA database was used to characterize the TME of POLE mutants, which primarily included immune cells and co-expression genes. We used immunohistochemistry (IHC) to determine immune cell abundance and PD-L1 expression in 104 EC tissues, including 11 POLE mutants and 93 wild-type. Results The bioinformatic study found significant differences in gene expression of the chemokine family, immune-cell markers, and lysozyme in POLE mutants, along with immune response activation. In POLE-mutated ECs, the abundance of CD4+T, CD8+T, M1 macrophages, and dendritic cells increased considerably. Furthermore, POLE mutations may enhance immune cell recruitment or activation and lymphocyte homing in ECs. POLE mutants also had increased expression of immune-checkpoint suppressor genes such as PD-L1, CTLA-4, TIM-3, and others. The tumor mutation burden (TMB) was higher in ECs with POLE mutation. In the validation cohort, we discovered that POLE mutations were related to the immune infiltration abundance of CD8+, CD4+, and Foxp3+ cells and PD-L1 expression by IHC. The prognosis of TCGA-ECs showed that the survival time of the CD8, CD4, PD-L1, or Foxp3 over-expression subgroup of the POLE mutants was significantly prolonged compared to the down-regulation subgroup or the POLE wild-type. Conclusion The infiltration abundance of CD8+ T, CD4+ T, Foxp3+ T cells, and the expression of PD-L1 harbor crucial value for the prognosis or individualized therapy of POLE-mutated ECs.
The Effects of Thymosin Alpha-1 on Macrophages: A Cytological and Anti-Inflammatory Study

Thymosin alpha 1 (Tα-1) is a naturally occurring substance synthesized by the thymus tissue, known to activate various immune system cells. It has been reported to increase the production of Natural Killer cells, CD4 and CD8 cells, and cytokines such as IL-2, IL-3, and IFNγ. Furthermore, it plays a vital role in regulating immunity, inflammation, and tolerance. Its effect on the immune system is exerted via its modulatory action on innate immune system cells, thereby functioning as an endogenous regulator for both inflammatory and adaptive immune systems. In this study, we sought to evaluate the cytological and anti-inflammatory effects of Tα-1 on RAW 264.7 cells. The cytological effects of Tα-1 were assessed using the MTT assay, with the IC50 value against RAW 264.7 cells determined to be 368.105 ug/ml. The morphological observations made at various concentrations of Tα-1 showed increased cytotoxicity and decreased cell density of RAW 264.7 cells with increasing test concentration. Furthermore, the anti-inflammatory effects of Tα-1 were evaluated by analyzing the nitric oxide (NO) production in RAW 264.7 cells. Treatment with the test items at concentrations ranging from 7.813 to 31.25 ug/ml showed a dose-dependent reduction in NO production compared with the control group. These findings suggest that Tα-1 may have the potential as an anti-inflammatory agent in the treatment of various diseases associated with inflammation.
Peltigera (Ascomycota) living in open and shady environments depend on different Nostoc photobionts

Species of Peltigera (lichen-forming Ascomycota) establish obligate symbioses with several monophyletic groups (phylogroups) of Nostoc cyanobacteria. Some of these fungi are strict specialists and only associate with one Nostoc phylogroup throughout their range, while others are generalists and associate with many different Nostoc phylogroups. We sampled 20 Peltigera taxa, mostly representing the Peltigera section Peltigera, from grassland and forest habitats across Europe. Mycobionts’ identities were confirmed using fungal ITS sequences. The Nostoc cyanobionts were identified and grouped based on single nucleotide differences in the trnL region and on the phylogenetic analysis of the rbcLX region. Our data confirmed that some Peltigera species clearly prefer open habitats, while others are largely confined to shady forest habitats. The two habitat preferences are consistently paired with association with different Nostoc groups. As a specific example, two ecologically versatile species, Peltigera canina and P. didactyla, both growing in open and shady habitats, consistently associated with different groups of Nostoc when growing in different habitats. As associations between specific mycobionts and cyanobionts are influenced by habitat conditions, the diversity of both taxon groups should be considered in the context of habitat management and conservation planning.
Sublimation of Intercepted Snow within a Subalpine Forest Canopy at Two Elevations

Abstract To determine how elevation affects the sublimation rate from intercepted snow within a subalpine forest canopy, a cut subalpine fir and an artificial conifer were weighed at each of two elevations (3230 and 2920 m) at a U.S. continental site (39°53′N, 105°54′W) from 1 January to 1 May 2001. Measured stand characteristics included canopy density (67% and 75%) and basal area (43.4 and 24.1 m2 ha−1) for the higher and lower elevations, respectively. Temperature, relative humidity, net radiation, wind speed, and mass of snow on suspended trees provided data to determine whether sublimation rates of intercepted snow are more rapid at higher elevations associated with increased wind speed. Measurements showed the unexpected result that wind speed during sublimation periods was lower at higher elevations, probably because of terrain sheltering. The analysis examined 21 storm-free periods ranging in duration from 9 to 53 h. Sublimation rates per unit mass of intercepted snow were significantly larger at .
Research on spatial and temporal changes of vegetation cover and response to climate factors in Hanjiang Basin

Based on the SPOT VGT_INDV ten-day date during 1999—2010,this paper analyzed the intra-annual and inter-annual variation and different spatial distribution of types of vegetation coverage in Hanjiang Basin,and then analyzed correlation and retardation time between vegetation and temperature and precipitation combined the data from 38 meteorological stations in this district and surrounding area.The results showed:There are twice high values and twice low values of vegetation coverage in crops in Hanjiang Basin,and only once high value and once low value in forest land.Compared analysis discovers averaging method could not reflect objective reality exactly in the district rich in types of vegetation.INDV fluctuates but increases as a whole during study period,and has a significant difference in districts which mainly displayed vegetation coverage had a significantly improving in the river banks and surrounding area in Hanjiang Basin.The coefficient of partial correlation between vegetation cover and temperature was different obviously from it between vegetation cover and precipitation,and the dependency of vegetation cover to the temperature was bigger than that of the precipitation.Human activities reduced the restriction of the temperature and precipitation to vegetation growth.
The Actors Involved in the Career Scripts of Young People: Actantial Analysis

The aim with this paper is to scrutinise the career scripts of young people in Finland by the means of actantial analysis. We examined the actantial structures of narratives on career scripts in Finland with 31 follow-up interviews. The premise of this paper is drawn from careership theory. The aim is to contribute theoretically and empirically to the qualitative body of knowledge on career scripts of young people
Variations of the relative palaeointensity of the geomagnetic field in western Europe in the interval 25-10 kyr BP as deduced from analyses of lake sediments

Summary. Two independent methods have been applied on late glacial and glacial homogeneous lacustrine sediments in order to obtain an evaluation of the geomagnetic field palaeointensity in the interval 10 000-95 000 yr BP. The anhysteretic remanent magnetization (ARM) normalization method and the stirred remanent magnetization (StRM) normalization method yield relative palaeoiiitensity curves which can be critically compared. The St RM normalization curve, considered as the most reliable, shows successive oscillations with periods ranging from 1500 to 1 1 000 yr. The lowest values of the field intensity occur at 10000 and 31 000 yr BP and the highest value occurs at 15 000 yr BP.
Deep residual shrinkage networks with adaptively convex global parametric rectifier linear units for fault diagnosis

In response to the challenge posed by traditional deep learning methods, which apply uniform nonlinear transformations to all vibration signals and thus struggle to address fault diagnosis under variable working conditions, a novel activation function called the convex global parametric rectifier linear unit (CGPReLU) is developed based on our prior research. Initially, an analysis of the numerical patterns governing the adaptive derivation process of GPReLU’s two slope parameters revealed the surprising observation that these convex parameter combinations invariably appear in pairs. This discovery serves as the primary motivation for the development of CGPReLU. Leveraging this convex regularity, we subsequently redesigned a lightweight convex sub-network for the adaptive derivation of the CGPReLU’s slope. Simultaneously, a deep residual shrinkage network with CGPReLU is constructed for fault diagnosis. Furthermore, we introduce an innovative evaluation metric designed to measure the collective influence of diagnostic accuracy and computational complexity after the process of model lightweight. Finally, it is experimentally demonstrated that the developed method can maintain a better diagnostic performance while greatly improving the diagnostic efficiency under variable operating conditions compared to our previous work.
FACTORS AFFECTING ACCOUNTING CONSERVATISM IN CONSUMER GOODS COMPANIES IN INDONESIA STOCK EXCHANGE

This study examines the relationship between accounting conservatism and leverage, capital intensity, profitability, dividend policy, and firm size in consumer goods non-cyclical companies listed on the Indonesia Stock Exchange between 2017 and 2019. In this research 87 observational data are used in which obtained from 29 consumer goods non-cyclical companies that have met established criteria, where the samples are selected using purposive sampling technique. Hypothesis testing in this study uses multiple regression analysis. The data were calculated and processed using Microsoft Excel 2013 dan EViews 12. This research tested the classical assumption before testing the hypothesis and used the multiple linear regression model method, which the suitable model for this research is Fixed Effect Model (FEM). The findings of this study show that accounting conservatism is significantly influenced by the variables of leverage and profitability, but not by the factors of capital intensity, dividend policy, or business size.
Fabrication and Testing of Crop Waste Ceiba pentandra Shell Powder Reinforced Biodegradable Composite Films

Ceiba pentandra shell powder (CPSP) biowaste is chosen as a biofiller combined with poly(vinyl alcohol) (PVA) as a matrix to make biofilms to increase the exploitation of biowaste materials and reduce the use of plastic materials. FTIR plots indicated no significant chemical reaction or formation of new functional groups during interaction between PVA and CPSP. XRD diffractograms showed that the crystallinity index (35.3, 38.6, 42.3, 46.4, and 48.5%) and crystalline size (18.14, 20.89, 23.23, 24.87, and 26.34 nm) of biofilms increased with CPSP loading (5–25 wt %). The PVA/CPSP films are thermally stable up to 322 °C. The peak highs of AFM images showed that the films’ surface roughness gradually increased from 94.75 nm (5 wt % CPSP) to 320.17 nm (25 wt % CPSP). The FESEM micrographs clarify the homogeneous distribution of CPSP in the PVA matrix. Tensile strength and tensile modulus are noticeably increased by 26.32 and 37.92%, respectively, as a result of the loading of CPSP from 5 to 20 wt % in the PVA matrix. The PVA/CPSP films outperform pure PVA films in UV shielding (350–450 nm). The 59% weight loss of films was estimated during 60 days of burial. The fabricated biofilms maintained their suitable structural, thermal, morphological, and mechanical properties. Additionally, they exhibited consistent performance in ultraviolet (UV) barrier, opacity, water absorption, water vapor permeability, soil burial, and antimicrobial characteristics over time. Overall, PVA/CPSP (5–25 wt %) films are biodegradable and have promising applications as good packaging materials.
Bayesian Gaussian Mixture Linear Inversion in Geophysical Inverse Problems

We present a Bayesian linear inversion based on Gaussian mixture models and its application to geophysical inverse problems. The proposed inverse method is based on a Bayesian approach where we assume a Gaussian mixture random field for the prior model and a Gaussian linear likelihood function. The model for the latent discrete variable is defined to be a stationary first-order Markov chain. Here, we propose an analytical solution of the posterior distribution of the inverse problem. A sampling algorithm can be used to simulate realizations from the posterior model. Two examples of applications using real data are presented. The first example is a rock physics inversion for the estimation of facies and porosity; the second example is a seismic inversion for the estimation of facies and P-impedance. For each example, we show a set of conditional simulations, and the corresponding maximum a posteriori and prediction intervals.
Distribución vertical de la macrofauna en sedimentos contaminados del interior del puerto de Ceuta

Vertical distribution of the macrofauna in polluted sediments from the harbour of Ceuta Vertical distribution of the macrofauna and its relationship with physico-chemical parameters were studied in polluted sediments from the harbour of Ceuta. The samples were collected with cores (10 cm × 17 cm × 35 cm) by scuba divers. The following depths in the sediment column were included in the study: 0-2 cm, 25 cm, 5-10 cm and more than 10 cm. The crustaceans Pariambus typicus Kroyer, 1844; Apseudes latreilli Milne-Edwards, 1820; Corophium runcicorne Della Valle, 1893; C. sextonae Crawford, 1937; the mollusc Parvicardium exiguum (Gmelin, 1791), and the polychaetes Pseudomalacoceros tridentata (Southern, 1914) and Exogone verrugera Cleparede, 1868 were found in the first 2 cm of the sediment, whereas the mollusc Loripes lacteus (L., 1758) and the polychaetes Platynereis dumerilii Audouin & Milne Edwards, 1833; Cirratulus cirratus (Muller, 1776) and Cirriformia tentaculata (Montagu, 1808) were dominant in deeper strata, and size increased with depth. A multivariate analysis showed that the percentage of silt and clays, the total organic matter, and especially, the maltenes/asphaltenes ratio, were the main factors affecting species’ vertical distribution.
Crop Farmers’ Access to E-information for Climate Smart Agriculture Production, in Cross River State, Nigeria

The study ascertained crop farmers’ access to e-information for climate-smart agriculture production in Cross River State, Nigeria. Using a multistage sampling procedure, 191 respondents were selected and data were collected with the aid of a structured questionnaire. Percentages, means and Spearman rho correlation were used to analyse the data. Results showed that the least used climate-smart agriculture (CSA) practices were agroforestry (27.7%), water harvesting practices (25.1%), construction and use of irrigation facilities (14.1%) and land reclamation practices (16.2%). The majority (72.3%) of farmers got einformation on climate-smart agriculture from the radio, while 8.9% and 12.6% got it from internet websites and social media respectively. E-information that was less accessed by the farmers was information on zero tillage (x=2.33), and minimum tillage. There was a weak, positive monotonic relationship (ys= 0.029) between farmers’ use of climate-smart agriculture practices and access to e-information. Reliable and timely climate-smart agriculture information targeting tillage, cropping, and water harvesting and use should be developed by extension service providers, uploaded and broadcasted via traditional electronic media and other non-e-sources for easy access and use by farmers.
Migration of adult spring and summer Chinook salmon past Columbia and Snake River dams through reservoirs and distribution into tributaries, 1996

We captured 853 spring and summer chinook salmon Oncorhynchus tshawytscha in the adult trapping facility at Bonneville Dam in 1996, released them with radio transmitters, and studied their passage past dams, through reservoirs and into tributaries. Radio receivers were set up at Columbia and Snake river dams and at the mouths of major tributaries to monitor movements of salmon. Recaptures of salmon at hatcheries, weirs and traps, and data from mobile tracking were used to complete the migration history. Of 853 salmon released downstream with transmitters, 703 were classified as spring chinook salmon and 150 as summer chinook salmon. At the release site, 15 chinook salmon regurgitated transmitters and 838 retained transmitters. Of the 838 fish, 99% were recorded back at the Bonneville Dam tailrace and 96.5% were known to have passed the dam. Fifty-nine percent of the 838 fish passed The Dalles Dam, 45% passed John Day Dam, 36% passed McNary Dam, 14% passed Ice Harbor Dam, 14% passed Lower Granite Dam and 14% passed Priest Rapids Dam. Median times for chinook salmon to pass individual Columbia River dams ranged from 0.93 d at The Dalles Dam to 1.51 d at Priest Rapids Dam. Median passage times at the monitored Snake River dams were 0.75 d at Ice Harbor Dam and 1.59 d at Lower Granite Dam, where operation of the adult trap extended passage times for fish diverted into the trap. From release downstream from Bonneville Dam, median passage times past multiple dams were 11.9 d to the top of McNary Dam, 16.8 d to the top of Ice Harbor Dam, 27.2 d to the top of Lower Granite Dam and 16.7 d to the top of Priest Rapids Dam. Adult chinook salmon passed most tailrace receiver sites throughout the day and night, but typically moved through fishways and past top-of-ladder receivers during daylight hours. Most chinook salmon that were in fishways at nightfall did not pass the dam until the next day. Summer chinook salmon migrated more rapidly than spring chinook salmon, with median passage times about 66% of those of spring chinook salmon. Median passage rates for spring and summer chinook salmon through lower Columbia River reservoirs were 43 km/d through the Bonneville pool, 45 km/d through The Dalles pool, 62 km/d through the John Day pool and 56 km/d through the McNary pool. Median passage times through the Bonneville and The Dalles reservoirs were significantly (P < 0.005) shorter for summer chinook salmon than for spring chinook salmon. Periods of relatively high flow and spill in 1996, and a block of turbid water in late April/early May appeared to delay passage of salmon with and without transmitters. Nadirs in chinook salmon counts at dams and in passage of chinook salmon with transmitters coincided with high flow and spill in late May and into June, particularly at Lower Granite and Ice Harbor dams. Sharp drops in chinook salmon counts also occurred during periods of high turbidity; the largest declines were during early-May at
Análisis del clima motivacional como antecedente de la eficacia colectiva en futbolistas semiprofesionales

ANALYSIS OF MOTIVATIONAL CLIMATE AS THE BACKGROUND TO COLLECTIVE EFFICACY IN SEMI-PROFESSIONAL FOOTBALL PLAYERS KEYWORDS: Motivational climate, Coach, Peers, Collective efficacy. ABSTRACT: The main aim of the study was to examine the relationships between the motivational climate created by coaches and peers regarding co - llective efficacy. To this end, we used a sample of 377 football players belonging to 20 teams in Group XIV of the Spanish Third Division, who completed questionnaires on peer motivational climate, coach motivational climate and collective efficacy. After analyzing the results, we showed that the mastery climate created by peers and coach had a significant and positive relationship to collective efficacy. This association was supported by a regression analysis that showed that the mastery climate was the strongest predictor of collective efficacy. To conclude, we emphasize the importance of promoting a mastery climate in training sessions by coaches and peers to improve collective efficacy.