Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing Deep Learning Algorithms for Signal Processing in Electrochemical Biosensors: From Data Augmentation to Detection and Quantification of Chemicals of Interest

Nanomaterial-based aptasensors serve as useful instruments for detecting small biological entities. This work utilizes data gathered from three electrochemical aptamer-based sensors varying in receptors, analytes of interest, and lengths of signals. Our ultimate objective was the automatic detection and quantification of target analytes from a segment of the signal recorded by these sensors. Initially, we proposed a data augmentation method using conditional variational autoencoders to address data scarcity. Secondly, we employed recurrent-based networks for signal extrapolation, ensuring uniform signal lengths. In the third step, we developed seven deep learning classification models (GRU, unidirectional LSTM (ULSTM), bidirectional LSTM (BLSTM), ConvGRU, ConvULSTM, ConvBLSTM, and CNN) to identify and quantify specific analyte concentrations for six distinct classes, ranging from the absence of analyte to 10 μM. Finally, the second classification model was created to distinguish between abnormal and normal data segments, detect the presence or absence of analytes in the sample, and, if detected, identify the specific analyte and quantify its concentration. Evaluating the time series forecasting showed that the GRU-based network outperformed two other ULSTM and BLSTM networks. Regarding classification models, it turned out signal extrapolation was not effective in improving the classification performance. Comparing the role of the network architectures in classification performance, the result showed that hybrid networks, including both convolutional and recurrent layers and CNN networks, achieved 82% to 99% accuracy across all three datasets. Utilizing short-term Fourier transform (STFT) as the preprocessing technique improved the performance of all datasets with accuracies from 84% to 99%. These findings underscore the effectiveness of suitable data preprocessing methods in enhancing neural network performance, enabling automatic analyte identification and quantification from electrochemical aptasensor signals.
Streptomyces tamarix sp. nov.: antagonism against Alternaria gaisen producing streptochlorin, isolated from Tamarix root soil

By the end of 2021, the pear yield in Xinjiang reached 1,795,900 tons, accounting for 1/9 of the country. Pear black spot, caused by Alternaria gaisen disease, has had a significant impact on the pear industry. A. gaisen can infect nearly all pear plants, resulting in black spots on the fruit that negatively affect both yield and quality. This study focused on the TRM76323 strain of Streptomyces, which was isolated from the soil of Tamarix chinensis in Xinjiang Province. Through a multiphase classification and identification method, the genetic classification status of the antagonistic strains was determined. The study also identified the antibacterial active components of streptochlorin using modern isolation and purification techniques. The antagonistic activity of Streptomyces against Alternaria was analyzed through in vitro and in vivo experiments. This research not only expanded the resource bank of antagonistic microorganisms in extreme environments in Xinjiang, but also identified active components that could contribute to the development of new drug lead compounds. Additionally, this study presents a novel approach for the prevention and control of pear black spot disease.
Curcumin Ameliorates The Hepatoxic Effects of Nitrites: A biochemical Experimental Study

Background and aim: Sodium Nitrate is widely used all over the world and subjects are at risk of their toxic effects. Its use is inevitable and thus proper prophylaxis against its toxic effects is crucial. Curcumin is a medicinal plant with different uses, and it is suggested to produce prophylactic actions against nitrate toxicity. Here we tested the effects of acute oral exposure of NaNO2 and potential ameliorative effects of pre-treatment by curcumin. Methodology: An experimental study was designed by four groups of animals (each 10 rats). The first was the control group (animals received orally, 2ml/kg, body weight of olive oil (vehicle) daily); the second is the NaNO2 where animals received 2ml/kg, body weight of olive oil and a single dose of NaNO2 (60mg/kg, body weight). The third was the curcumin group (animals received a daily dose of 20mg/kg body weight of curcumin dissolved in 2ml/kg body weight of olive oil). The fourth group was the combination group, where animals received oral doses of curcumin as in the third group, followed by a single oral dose of NaNo2 after 4 weeks of treatment. 48 hours after oral NaNO2, animals were sacrificed, and samples were collected for serum and tissue markers of hepatic injury, oxidative stress, and lipid profile. Results: The use of a single oral dose of NaNo2 was associated with significant increase of hepatic injury indicators (e.g., ALT, AST, and ALP) when compared to control group. In addition, this group had dyslipidemia and a significant increase of oxidative stress indicators than the control group. The use of curcumin prior to administration of NaNO2 ameliorate these toxic effects but it did not abolish it, as there was a significant difference in combined than control and NaNO2 groups. Conclusion: : A single oral dose of NaNO2 had a hepatotoxic effect. Curcumin had a prophylactic effect when administered prior to exposure to NaNO2. These actions are produced via modulation of antioxidant status.
Hydrogen Underground Storage in Silica-Clay Shales: Experimental and Density Functional Theory Investigation

In the context of reducing the global emissions of greenhouse gases, hydrogen (H2) has become an attractive alternative to substitute the current fossil fuels. However, its properties, seasonal fluctuations, and the lack of extended energy stability made it extremely difficult to be economically and safely stored for a long term in recent years. Therefore, this paper investigated the potential of shale gas reservoirs (rich and low clay–rich silica minerals) to store hydrogen upon demand. Density functional theory molecular simulation was employed to explore hydrogen adsorption on the silica–kaolinite interface, and the physisorption of hydrogen on the shale surface is revealed. This is supported by low adsorption energies on different adsorption configurations (0.01 to −0.21 eV), and the lack of charge transfer showed by Bader charge analysis. Moreover, the experimental investigation was employed to consider the temperature (50–100 °C) and pressure (up to 20 bar) impact on hydrogen uptake on Midra shale, specifically palygorskite (100%), which is rich in silicate clay minerals (58.83% SiO2). The results showed that these formations do not chemically or physically maintain hydrogen; hence, hydrogen can be reversibly stored. The results highlight the potential of shale gas reservoirs to store hydrogen as no hydrogen is adsorbed on the shale surface, so there will be no hydrogen loss and no adverse effect on the shale’s structural integrity, and it can be safely stored in shale reservoirs and recovered upon demand.
The association between sleep and early pubertal development in Chinese children: a school population-based cross-sectional study

Background There is an increasing tendency toward early pubertal development, and sleep might be related to pubertal onset. We aimed to investigate the association of sleep duration and bedtime with early pubertal development. Methods This was a cross-sectional study of 8,007 children (53.6% boys) from Qufu city, Shandong province and Zhongshan city, Guangdong province, China. Data on sleep duration and bedtime were obtained by questionnaire. Early pubertal development was the primary outcome and it was evaluated by the pediatrician according to Tanner staging. Logistic regression models were used to separately examine the association between sleep duration or bedtime and early pubertal development, controlling body mass index (BMI), dietary pattern, soft drink, feeding pattern and mother’s BMI. Results In boys, short sleep duration was strongly related to early pubertal development [OR (95%CI): 4.26 (1.30, 13.94)], and this association was intensified after adjusted BMI, dietary pattern, soft drink, feeding pattern and mother’s BMI. In girls, OR (95%CI) was 1.62 (1.04, 2.51), and increased after controlling BMI. Bedtime was associated with early pubertal development on weekdays [OR (95%CI): 6.39 (1.54, 26.45) in boys and 1.93 (1.23, 3.05) in girls], but not on weekends [OR (95%CI): 2.49 (0.61, 10.21) in boys; 1.31 (0.76, 2.25) in girls]. Conclusion This study underscores the positive association between the risk of early pubertal development and insufficient sleep duration and late bedtime.
Unveiling the Therapeutic Potential and Healthcare Applications of Marine Therapy: A Systematic Review with Meta-Analysis and Meta-Regression

This study was conducted to estimate the effectiveness of marine-derived resources for treating specific diseases, as well as identify the most effective methods for applying such resources in therapeutic applications. Bibliographic databases (PubMed, Embase, and Cochrane) were searched from their inception until May 2023 using Medical Subject Headings terms and text keywords related to seawater, mineral water, or ocean therapy. Fifteen eligible studies were included, involving 1325 participants aged 42.7–63.0 years. In the subgroup analysis based on treatment type, the mean difference was −1.581 (95% CI: −1.889, −1.274) for seawater with sun exposure and −1.210 (95% CI: −1.417, −1.002) for seawater with sun exposure, mud pack application, and sulfur pool therapy. The pooled standardized mean difference was calculated for different outcomes; the results were −1.110 (95% CI: −3.028, 0.806) for osteoarthritis severity, −0.795 (95% CI: −0.982, −0.607) for arthritis pain, −1.623 (95% CI: −2.036, −1.209) for fibromyalgia pain, and −1.498 (95% CI: −1.888, −1.108) for quality of life. Marine therapy is, therefore, promising for treating chronic skin issues, easing musculoskeletal discomfort, and enhancing the quality of life among patients with musculoskeletal pain.
Comparison of Pollutant Effects on Cutaneous Inflammasomes Activation

The skin is the outermost layer of the body and, therefore, is exposed to a variety of stressors, such as environmental pollutants, known to cause oxinflammatory reactions involved in the exacerbation of several skin conditions. Today, inflammasomes are recognized as important modulators of the cutaneous inflammatory status in response to air pollutants and ultraviolet (UV) light exposure. In this study, human skin explants were exposed to the best-recognized air pollutants, such as microplastics (MP), cigarette smoke (CS), diesel engine exhaust (DEE), ozone (O3), and UV, for 1 or 4 days, to explore how each pollutant can differently modulate markers of cutaneous oxinflammation. Exposure to environmental pollutants caused an altered oxidative stress response, accompanied by increased DNA damage and signs of premature skin aging. The effect of specific pollutants being able to exert different inflammasomes pathways (NLRP1, NLRP3, NLRP6, and NLRC4) was also investigated in terms of scaffold formation and cell pyroptosis. Among all environmental pollutants, O3, MP, and UV represented the main pollutants affecting cutaneous redox homeostasis; of note, the NLRP1 and NLRP6 inflammasomes were the main ones modulated by these outdoor stressors, suggesting their role as possible molecular targets in preventing skin disorders and the inflammaging events associated with environmental pollutant exposure.
Treatment of unstable pelvic fractures in children with an external fixator: Retrospective study of 56 patients

Purpose: We retrospectively analyzed the data of patients who underwent external fixation treatment for unstable pelvic fractures and evaluated the clinical effects of this treatment and factors influencing pelvic function recovery. Methods: The data of patients with unstable pelvic fractures treated with an external fixator between January 2006 and December 2018 were retrospectively analyzed. The analyzed parameters included demographic data, fracture healing, pelvic asymmetry, deformity index, and complications. Fractures were categorized using the Tiles classification. Pelvic function was evaluated using the Cole score. Pelvic risk factors were identified using univariate and multivariate logistic regression analyses. Results: Fifty-six patients (29 and 27 with type B and C fractures, respectively) were included. All fractures were healed at the time of the final follow-up. Nine and three patients had pin tract infections and loosened external fixators postoperatively, respectively. Pelvic asymmetry was reduced from 1.34 ± 0.15 cm to 0.70 ± 0.19 cm (p < 0.01), and the deformity index decreased from 0.13 ± 0.03 to 0.07 ± 0.02 (p < 0.01). The Cole score was excellent and good in 41 and 15 patients, respectively. Risk factors for pelvic function recovery included injury severity score > 25.5, age > 11.3 years, and lower-extremity fractures. Conclusions: External fixation is an effective method for treating unstable pelvic fractures in children, with the advantages of a simple operation, short surgical time, no interference with treatments for associated injuries, and avoidance of re-trauma caused by open reduction. An ISS > 25.5, patient age > 11.3 years, and associated lower-extremity fractures are predictors of pelvic function recovery. Level of evidence: Level IV.
Economic growth in brazilian municipalities and the service sector and industry agglomerations: a spatial analysis 1

This article aimed to analyze the impact of the agglomerations of certain segments in the service and industrial sectors on the economic growth of Brazilian municipalities. More specifically, it focused on companies that provide knowledge-intensive business services (KIBS) and companies that provide non-knowledge-intensive business services (NKIBS), using a spatial panel, with the inclusion of instrumental variables. As a corollary, industrial agglomerations were important in determining economic growth throughout Brazil; NKIBS and KIBS were not statistically significant, not affecting the dynamics of local economies. Regarding KIBS agglomerations, regionally, the group formed in the South, Southeast and Midwest was impacted, that is, regions with greater economic dynamism
Phytobiotic-Prebiotic Feed Additive Containing a Combination of Carob Pulp, Chicory, and Fenugreek Improve Growth Performance, Carcass Traits, and Fecal Microbiota of Fattening Pigs

Simple Summary The objective of this study is to examine the effects of a phytobiotic-prebiotic feed additive (PPFA) containing a combination of carob pulp, chicory, and fenugreek on growth performance, carcass traits, and fecal microbiota in fattening pigs. One kg/T of the PPFA shows a significant effect on growth promotion and a positive effect on lean meat production and carcass quality of fattening pigs. Moreover, the PPFA has the ability to regulate intestinal microbiota by improving beneficial bacteria while inhibiting some pathogen bacteria. This PPFA could be an effective antibiotic-free feed additive to enhance growth performances, improve carcass grade, and promote healthy gut development in fattening pigs. Abstract The purpose of this study was to determine the effectiveness of a phytobiotic-prebiotic feed additive (PPFA, which contains a combination of chicory and extracts of carob pulp and fenugreek) in the diets of fattening pigs on growth indicators, carcass characteristics, and fecal microbiota. A total of 329 crossbred pigs were randomly divided into two dietary treatments, including a basal diet without additives as the control group and a basal diet supplemented with 1 kg/T PPFA as the trial group. The PPFA supplementation led to a significant increase in the body weight gain and average daily gain of the trial group compared to those of the control group after 70 days of feeding. Through the S-EUROP evaluation system, we also found that the fattening pigs fed PPFA significantly improved their carcass indicators. Furthermore, it was shown that PPFA regulated porcine intestinal microbiota, including promoting the growth of the beneficial commensal bacteria (i.e., Bifidobacterium and Lactobacillus) while inhibiting some potential pathogen bacteria (i.e., Bacteroidaceae and Campylobacteraceae). Our work revealed that the phytobiotic-prebiotic feed additive containing carob pulp, chicory, and fenugreek positively influences the intestinal microbiota, growth performance, and carcass traits in fattening swine.
Human talent management and job performance: a non-experimental study in an interregional clinic

The main objective of the study was to determine the relationship between human talent management and job performance, using as contextual analysis the workers of the Interregional clinic in the city of Bagua, Peru, 2023. The main methodological approach was quantitative, relational and non-experimental design. The population consisted of 14 collaborators. Specifically, the main technique used was the survey. The results showed that human talent management is 35.7% accurate (medium level) and job performance is 57.2% (high level), also the correlation between the variables was 0.71, being in a high and positive correlation and the p-value was 0.004, that is enough statistical significance. Therefore, the conclusion is that both variables are correlated, confirming the hypothesis of the study. Finally, some practical recommendations are pointed out based on the results.
A Single Dose of PEG-Asparaginase at the Beginning of Induction Not Only Accelerates MRD Clearance but Also Improves Long-Term Outcome in Children with B-Lineage ALL

Simple Summary This report presents the results of the randomized use of PEG-ASP at a dose of 1000 U/m2 administered on day 3 of induction therapy in children with B-cell precursor ALL (BCP-ALL) studied for MRD response. At the start of induction therapy, 502 patients were randomized, standard-risk patients into three and intermediate-risk patients into two groups. The single dose of PEG-ASP resulted in a significantly larger proportion of rapidly responding patients. Despite only low or moderately intensive therapy (no or only low-dose anthracyclines, no oxazaphosphorines, no high-dose therapy), these rapid responders also showed excellent long-term outcomes. Abstract This report presents the results of the assessment of MRD response by multicolor flow cytometry (MFC) with regard to the randomized use of pegylated asparaginase (PEG). In this study, PEG was randomly administered at a dose of 1000 U/m2 on day 3 of induction therapy in children with B-lineage ALL. Methods. Conventional induction therapy consisted of dexamethasone, vincristine, and daunorubicin. MRD data was available in 502 patients who were randomized at the start of induction therapy, standard-risk (SR) patients into three (conventional induction without PEG, induction with additional PEG and with PEG but without daunorubicin) and intermediate-risk (ImR) patients into two groups (with additional PEG and without PEG). Results. The single administration of PEG resulted in a significantly higher proportion of rapid responders, in SR patients even when no anthracyclines were used for induction. In the SR group, the event-free survival of the MFC-MRD fast responders was similar in the PEG− and PEG+ arms (92.0 ± 3.1% vs. 96.2 ± 1.5%, respectively), and the same unfavorable trend was observed for MFC-MRD slow responders (57.5 ± 12.3% vs. 66.7 ± 15.7%, respectively). Results were similar in ImR patients: (94.3 ± 3.2% vs. 95.1 ± 2.4%, for fast responders and 63.3 ± 7.6% vs. 78.1 ± 7.9%, for slow responders in PEG− and PEG+ arms, respectively). However, there is a large difference between the proportion of MFC-MRD slow responders in the PEG− and PEG+ groups (18.3% vs. 5.2% for the SR group and 44.2% vs. 25.0% for the ImR group). Conclusions. Therefore, early use of PEG-ASP not only leads to an accelerated reduction of blasts, but also to an excellent outcome in a significantly larger proportion of patients in both risk groups.
Estimation of Tool Life in the Milling Process—Testing Regression Models

The article presents an attempt to identify an appropriate regression model for the estimation of cutting tool lifespan in the milling process based on the analysis of the R2 parameters of these models. The work is based on our own experiments and the accumulated database (which we make available for further use). The study uses a Haas VF-1 milling machine equipped with vibration sensors and based on a Beckhoff PLC data collector. As the acquired sensor data are continuous, and in order to account for dependencies between them, regression models were used. Support Vector Regression (SVR), decision trees and neural networks were tested during the work. The results obtained show that the best prediction results with the lowest error values were obtained for two-dimensional neural networks using the LBFGS solver (93.9%). Very similar results were also obtained for SVR (93.4%). The research carried out is related to the realisation of intelligent manufacturing dedicated to Industry 4.0 in the field of monitoring production processes, planning service downtime and reducing the level of losses resulting from damage to materials, semi-finished products and tools.
Feasibility of Benthic Cover-Type Mapping in Turbid Waters near Estuaries Using Hyperspectral Remote Sensing

ABSTRACT Tuominen, J. and Lipping, T. , 2014. Feasibility of benthic cover-type mapping in turbid waters near estuaries using hyperspectral remote sensing. In this study the feasibility of benthic cover-type mapping in turbid waters near estuaries using hyperspectral remote sensing is explored. The majority of research papers addressing remote sensing of benthic cover types concentrate on optically clear, shallow coastal and reef waters. In order to study the effects of water depth and water quality on benthic cover-type classification, a synthetic data set was generated. Synthetic spectra were calculated using in situ optical measurements of water quality and spectra of different bottom types. The data set was classified using the spectral correlation mapper (SCM) and the Euclidean distance (ED) classifier. A simple water-column correction method was also tested. The overall mapping accuracy of SCM classification without water-column correction reached 47.8% when the depth range 0.0–3.0 m was studied. The mapping accuracy increased to 66.0% using the ED classifier with water-column correction. When water quality was changed from least turbid to most turbid, the overall accuracy decreased to 50.4%.