Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of complementary and sole applications of inorganic fertilizers and winery solid waste compost on maize yield and soil health indices

The development of plant nutrition systems that enhance soil productivity through the use of mineral fertilizers combined with organic fertilizers has recently gained increased attention. Two field experiments were conducted in 2018 (from February to June) and 2018/19 (from December 2018 to April 2019) to assess the effects of complementary application of inorganic nitrogen (N) and phosphorus (P) fertilizers (INPF) and winery solid waste (WSW) composts on maize yield and soil health indicators. The INPF and optimum rates of microbially inoculated and uninoculated WSW compost types were combined at different ratios (0:0, 75:25, 50:50, 25:75 and 0:100 w/w) to supply proportionate N and P amount. The recommended INPF rates for maize (200 kg N ha-1 and 90 kg P ha-1) were mixed and included as a standard control. The interaction of compost type and application rate had no significant effects on total biomass yield (TBY), grain yield (GY) and harvest index (HI). The compost type had significant effects on GY and HI in 2018/19. The TBYs obtained from the 50:50, 75:25 and 100:0 compost-INPF combinations were significantly higher than that recorded from untreated control across the compost types in 2018. The 25:75 and 50:50 compost-INPF combinations gave GYs which were significantly higher than that obtained from the untreated control in 2018/19. In many instances, soil pH and the contents of organic C, NO3, P, K, Na and Zn recorded from treatments with the different mix ratios of compost and INPF were higher than that recorded from the untreated control. Grain yield correlated significantly and positively with the contents of soil NH4 (r = 0.59) and P (r = 0.53) indicating that these nutrients contributed to the final GY. In conclusion, the joint application of compost and INPF at 25:75 and 50:50 ratios appears promising for improving GY. Increase in soil K content suggested the need for a controlled application of WSW compost followed by frequent soil testing exercise to monitor and avoid unnecessary K build-up that may induce the deficiencies of other plant nutrients.
Investigation on the variations of soil properties of different agricultural soils in central Myanmar

Soil properties are varied under human disturbance and understanding how the soil properties change is vital to know the potential of soils and their sensitivity to different soil managements. The aim of this study was to analyze the variation in soil physicochemical characters as influenced by different soil managements (orchards, crop rotation, and intensive use of fertilizer), in central dry zone in Myanmar. Eight soil properties such as soil texture, pH, electrical conductivity (EC), organic matter (OM), total nitrogen, available phosphate (Olsen P), extractable potassium (extractable K), cultivable bacterial counts were analyzed for top soil samples collected from twenty-one agricultural sites which planted for seven different crops. The results showed that studied soil properties except from soil texture were significantly different among studied soils (P<0.05), Olsen P were significantly higher in orchard soils (most intact), than other soil. (OM), (EC), and extractable K were significantly higher in onion soils (intensive use of fertilizer), Clay percent is significantly and positively correlated with most of the soil properties except from Olsen P. These results imply that soil properties are varied based on soil type and land use; therefore, agricultural management is important to maintain and enhance soil physicochemical properties and sustain ecosystem.
Anthracycline-Free Neoadjuvant Treatment in Patients with HER2-Positive Breast Cancer: Real-Life Use of Pertuzumab, Trastuzumab and Taxanes Association with an Exploratory Analysis of PIK3CA Mutational Status

Simple Summary This retrospective observational study aims at highlighting the response to pertuzumab, trastuzumab and docetaxel treatment (THP), without using anthracycline, in patients with HER2-positive early breast cancer. We add evidence to the suitability of THP in real life to reach higher pathological complete response rates, with a good safety profile for patients. An exploratory analysis of the mutational status of PIK3CA was performed as well, and 21% mutated samples were identified, with overall higher pCR rates in PIK3CA mutant patients and, particularly, in those who were THP-treated. Our original results open the door to further studies focused on more in-depth analysis of the molecular and clinical features related to the response to anthracycline-free neoadjuvant treatment in HER2-positive early breast cancer patients. Abstract HER2 is considered one of the most traditional prognostic and predictive biomarkers in breast cancer. Literature data confirmed that the addition of pertuzumab to a standard neoadjuvant chemotherapy backbone (either with or without anthracyclines), in patients with human epidermal growth factor receptor 2 (HER2)-positive early breast cancer (EBC), leads to a higher pathological complete response (pCR) rate, which is known to correlate with a better prognosis. In this retrospective analysis, 47 consecutive patients with HER2-positive EBC received sequential anthracyclines and taxanes plus trastuzumab (ATH) or pertuzumab, trastuzumab and docetaxel (THP). Despite the limited sample size, this monocentric experience highlights the efficacy (in terms of pCR) and safety of THP in the neoadjuvant setting of HER2-positive EBC as an anthracycline-free approach. Given the role of PIK3CA as a prognostic and therapeutic target in breast cancer, tumors were also analyzed to assess the PIK3CA mutational status. Thirty-eight out of forty-seven patients were evaluated, and PIK3CA variants were identified in 21% of tumor samples: overall, one mutation was detected in exon 4 (2.6%), two in exon 9 (5.3%) and four in exon 20 (10.5%). Of note, one sample showed concurrent mutations in exons 9 (codon 545) and 20 (codon 1047). Among patients reaching pCR (n = 13), 38.5% were PIK3CA mutants; on the other hand, among those lacking pCR (n = 25), just 12% showed PIK3CA variants. Regarding THP-treated mutant patients (n = 5), 80% reached pCR (three hormone-receptor-negative, one hormone-receptor-positive). Interestingly, the only patient not achieving pCR had a tumor with two co-occurring PIK3CA mutations. In conclusion, this study provides new evidence about the efficacy and good safety profile of THP, compared to the ATH regimen, as an anthracycline-free neoadjuvant treatment of HER2-positive EBC. Further studies on larger/multicentric cohorts are planned for more in-depth analysis to confirm our molecular and clinical results.
Fast pivoting gait generation by model predictive control designed with basis functions

Pivoting gait is an efficient way for robots to manipulate a heavy object. Although we can cope with the contact constraints of the pivoting gait by using the model predictive control (MPC), systems with complex dynamics, including the pivoting gait, usually require long horizons in the MPC and it leads to a heavy computational load. To overcome this problem, we introduce basis functions to parameterize the free variables in the MPC and formulate an optimization problem with new decision variables, which are coefficients of the basis functions. We especially introduce multiple basis functions and compare their performances in generating the robotic pivoting gait. As a result, the most effective reduction in the dimension of the free variables is achieved by using the Laguerre basis function and the computational efficiency of the MPC is greatly improved. The simulation and experiments show that the time cost of the generation of pivoting gaits by the proposed method is remarkably reduced and the generated pivoting gaits are feasible and robust where a dual-arm robot successfully manipulates a toy piano by the pivoting gait. GRAPHICAL ABSTRACT
Serum Cortisol, 25 (OH)D, and Cardiovascular Risk Factors in Patients with Type 2 Diabetes Mellitus

Background and Aims The effects of cortisol on cardiovascular diseases (CVD) and CVD risk are unknown, especially in patients with type 2 diabetes mellitus (T2DM). Furthermore, it is unclear whether 25 (OH)D can alter the associations of cortisol with CVD and CVD risk factors. Thus, the present study was to investigate the associations of serum cortisol with CVD and CVD risk factors and whether 25 (OH)D altered these associations among patients with T2DM. Materials and methods. A total of 762 patients diagnosed with T2DM were recruited. The levels of serum cortisol and 25 (OH)D were measured with a liquid chromatography-tandem mass spectrometry. Logistic regression and linear regression were used to assess the association of cortisol with CVD and multiple cardiovascular risk factors. Modification analyses were performed to identify whether 25 (OH)D altered the above associations. Results A 1 SD increase in cortisol was associated with a higher prevalence of stroke (odds ratio (OR): 1.25, 95% confidence interval (CI): 1.05, 1.50). Elevated cortisol was associated with related cardiovascular risk factors, including deceased ß cell function, high-density lipoprotein-cholesterol (HDL-C), and fasting insulin, as well as increased triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c). In addition, modification analyses suggested that the associations of cortisol with ß cell function, fasting insulin, FPG, and HbA1c were modified by 25 (OH)D. Conclusions Serum cortisol was associated with the prevalence of stroke and cardiovascular risk factors, and the associations of cortisol with cardiovascular risk factors were moderated by 25 (OH)D, suggesting that T2DM patients with exposure to lower 25 (OH)D levels and higher cortisol levels were more susceptible to have higher cardiovascular risk factors.
Does fair trade matter to consumers? A study of African cultural products

ABSTRACT This study uses an adapted S-O-R framework to investigate the influence of fair trade (FT) product information for African cultural products. Consumer’s internal state (affective and cognitive) and purchase intention towards a FT African cultural product is examined while considering previous FT knowledge and concern. Data were collected through a structured questionnaire distributed on social media sites employing a snowballing technique. It was determined that FT knowledge and concern, especially the dimension of concern, was a significant indicator of consumer’s internal states and purchase intention. Consumers’ affective and cognitive state also significantly influence purchase intention consistent with previous studies using the S-O-R model. Following these findings, it is important for FT retailers, policy-makers, and socially responsible organisations to understand and evoke a consumer’s concern for FT as a way to ensure higher levels of purchase intention towards unique African cultural products.
Archaeome in Colorectal Cancer: High Abundance of Methanogenic Archaea in Colorectal Cancer Patients

Background: The importance of microbiome in the progression and development of colorectal cancer (CRC) has been discussed in the last decade. Like colon bacteria, other intestinal microorganisms, including archaea, could also be involved in the CRC progression, so it's important to work out the archaeal microbiome (archaeome) composition among CRC patients. Objectives: The aim of this study was to determine the archaeome composition of CRC and healthy controls based on age and gender. Methods: Total bacterial DNA was extracted from 30 biopsy samples (17 CRC and 13 healthy controls). Archaeome communities were profiled by 16S rRNA high throughput sequencing, then compared to clinicopathological features, including CRC patients’ gender and age. Results: In the CRC patients, archaeal methanogens including Methanobrevibacter (86%) and Methanomassiliicoccus (8%) were overrepresented at the genus level. In contrast in the healthy controls, only two genera of haloarchaea including Natronococcus (58%) and Haloterrigena (42%) were presented. The results showed that the number of archaeal genera in men is higher than women in both the CRC and healthy controls. moreover, our results showed that the most genera of archaea are present in the CRC-32-50 group, six archaeal genera. The differential abundance taxa analysis results showed significant differences between healthy controls and CRC patients (P ≤ 0.05). Conclusions: The high abundance of methanogens in the colon archaeome of CRC patients compared to healthy controls suggests that methanogens may be involved in CRC development.
Wood Anatomical Traits Respond to Climate but More Individualistically as Compared to Radial Growth: Analyze Trees, Not Means

Wood encodes environmental information that can be recovered through the study of tree-ring width and wood anatomical variables such as lumen area or cell-wall thickness. Anatomical variables often provide a stronger hydroclimate signal than tree-ring width, but they show a low tree-to-tree coherence. We investigate the sources of variation in tree-ring width, lumen area, and cell-wall thickness in three pine species inhabiting sites with contrasting climate conditions: Pinus lumholtzii in wet-summer northern Mexico, and Pinus halepensis and Pinus sylvestris in dry-summer north-eastern Spain. We quantified the amount of variance of these three variables explained by spring and summer water balance and how it varied among trees. Wood anatomical variables accounted for a larger inter-individual variability than tree-ring width data. Anatomical traits responded to hydroclimate more individualistically than tree-ring width. This individualistic response represents an important issue in long-term studies on wood anatomical characteristics. We emphasized the degree of variation among individuals of the same population, which has far-reaching implications for understanding tree species’ responses to climate change. Dendroclimatic and wood anatomical studies should focus on trees rather than on the mean population series.
Model of Potential Strengthening and The Role of Family in Control and Modification of Risk Factors in Adult Women with Coronary Heart Disease

ABSTRACT Coronary heart disease is one of the non-communicable diseases with the highest prevalence in Indonesia. Coronary heart disease incidents can be prevented by controlling modifiable Coronary heart disease risk factors. Family is the strength for a person to survive pressure or keep life in balance. The purpose was to analyze the effect of strengthening family potency on the control of modifiable coronary heart disease risk factors in adult women. The research design used a quasi-experimental. The research variable was Coronary heart disease risk control models. The population in this study were families who had adult female family members with coronary heart disease in the work area of Arosbaya Public Health Center in 2019. In the sample in this study, as many as 30 people in each group were taken by simple random sampling. The research instrument used a simulation model for controlling Coronary heart disease risk factors that can be modified for women by the family using modules. Analysis used the Kolmogorov Smirnov and pair t-tes. The results showed that the mean modification of Coronary heart disease risk factors in adult women increased, except for avoidance of cigarette smoke (p <0.05). The pair t-test results show that there is a difference in controlling the risk factors for Coronary heart disease that can be modified after strengthening family potential, except for the avoidance of cigarette smoke. It can be concluded that the implementation of the family potential strengthening model is proven to significantly increase the family's ability to control the risk factors for Coronary heart disease can be modified in adult women. It is recommended that Coronary heart disease in adult women can be carried out by controlling risk factors that can be modified by involving all family components
Comparative Analysis of Reactive Power Compensation Devices in a Real Electric Substation

A constant worldwide growing load stress over a power system compelled the practice of a reactive power injection to ensure an efficient power network. For this purpose, multiple technologies exist in the knowledge market out of which this paper emphasizes the usage of the flexible alternating current transmission system (FACTS) and presents a comparative study of the static var compensator (SVC) with the static synchronous compensator (STATCOM), inducted in a real electric substation. The aim is to improve the power factor (PF) and power quality and to encounter reliably extreme conditions. A 220 kV electric substation was opted for the analysis, and both the static and dynamic conditions were observed with the help of a power system analysis tool termed PowerFactory-DIgSILENT. Multiple aspects were investigated via software simulations to assess the performance of the aforementioned FACTS devices, such as the voltage profile evaluation via the load flow analysis method (LFA), the harmonic response via the power quality and harmonic analysis tool, and the short-circuit response via the RMS simulation tool. The outcomes were verified and compared with permissible values included in the universal standards, such as IEC and IEEE. The superiority of the STATCOM over the SVC was proven in light of the simulative results.
IMPROVING THE STUDENTS' NUMERICAL LITERACY SKILLS BY USING INTERACTIVE MATHEMATICAL COMICS ON PYTHAGOREAN THEOREM

This study aims to determine improving the students' numeracy literacy skills by using interactive mathematical comics on pythagorean theorem. This type of research is experimental research with pretest posttest control group design. The sample in this study was class VIIIA as the experimental class totaling 21 students and class VIIIB as the control class totaling 19 students. Data collection techniques used interviews, observations, and questions pretest and posttest of students' numeracy literacy abilities. The results showed that the use of mathematical comics was effective in increasing students' numeracy literacy skills. This is because mathematical comics are presented based on interesting story concepts, interactive forms of daily conversation so that they can increase students' learning motivation. In math comics, the questions presented also stimulate students' numeracy literacy skills because they are presented with information in the form of numbers, data, and symbols related to mathematics. In addition, by learning to use mathematical comics students are required to be able to analyze various information in the form of graphs, tables, charts, and the ability to draw conclusions. Therefore, this study concludes that the use of mathematical comics in mathematics learning is effective in improving students' numeracy literacy skills.
Isolation of beta-sitosterol and evaluation of antioxidant Activity of Iraqi Campsis grandiflora flowers.

Campsis grandiflora (Bignoniaceae) is a fast growing deciduous climber, the dried flowers have been used as a carminative, blood tonic, and febrifuge in Chinese traditional medicine. This plant has an anti-inflammatory, anti-oxidant, anti-depressant, and anti-bacterial effect; with a beneficial role in stagnant blood and endometriosis conditions. In this study, the detection of beta-sitosterol in the hexane extract of Iraqi C.grandiflora flowers was performed using thin layer chromatography (TLC) and high performance liquid chromatography(HPLC); while the isolation done by preparative layer chromatography then structure elucidation of isolated compound was done by FTIR and 1HNMR. Furthermore, assessment of the anti-oxidant activity of the ethyl acetate extract of Iraqi C.grandiflora flowers using three different methods and total flavonoid content, then measuring the pearson’s correlation coefficient between these methods. The results showed that the hexane extract of Iraqi C.grandiflora flowers contain beta-sitosterol compound and the ethyl acetate extract of this plant possesses an excellent anti-oxidant effect using the single-electron transfer (SET) pathway in scavenging the free radicals, and this activity attributed to the potent antioxidant i.e. polyphenols.
Assessment of rainfall trends at micro and macro level in Andhra Pradesh

Climate change scenarios generated using GCM models are mostly based on grid data for the entire country or for a given state. Most international organizations use this data in generating the scenarios for India. An attempt has been made to make a comparison of rainfall trends based on 1° X 1° grid data and data collected from a dense network of 1128 raingauge stations in Andhra Pradesh. No decreasing trend is noticed over the entire state with grid data. However, a clear decreasing trend in annual rainfall is found in the tract consisting of Medak, Nalgonda, Krishna, East and West Godavari districts from block level data. On the contrary, increasing trend is noticed with grid data in these districts. In Prakasam district, declining trend in many blocks with block level data was noticed, but increasing trend is seen with grid data. Like-wise in Rayalaseema (Anantapur, Cuddapah, and Chittor) some blocks are showing increasing or decreasing trend with block level while with grid data, no significant trend was observed.
A Graph-Cut-Based Approach to Community Detection in Networks

Networks can be used to model various aspects of our lives as well as relations among many real-world entities and objects. To detect a community structure in a network can enhance our understanding of the characteristics, properties, and inner workings of the network. Therefore, there has been significant research on detecting and evaluating community structures in networks. Many fields, including social sciences, biology, engineering, computer science, and applied mathematics, have developed various methods for analyzing and detecting community structures in networks. In this paper, a new community detection algorithm, which repeats the process of dividing a community into two smaller communities by finding a minimum cut, is proposed. The proposed algorithm is applied to some example network data and shows fairly good community detection results with comparable modularity Q values.
Quercetin Improves the Anti-angiogenic Property of 5-Fluorouracil on the Human Umbilical Vein Endothelial Cells HUVEC Cell Line

Background: Angiogenesis provides the oxygen and nutrients needed for metastasis and tumor growth, so by inhibiting angiogenesis, metastasis to other parts of the body can be prevented at the first steps of cancer. 5-Fluorouracil (5-FU) as a common chemotherapy drug and Quercetin as a natural compound both have anti-angiogenic properties. Objectives: In the current study improvement of the anti-angiogenic property of 5-FU by combination with quercetin was investigated. Methods: After treating the cells with alone or a combination of drugs the angiogenesis, vascular endothelial growth factor receptors (VEGFRs) gene expression, migration, and viability of the cells were evaluated using chicken chorioallantoic membrane (CAM) assay, real-time RT-PCR, wound healing and MTT assay, respectively. Results: Treatment with alone 5-FU and Que led to a significant reduction in angiogenesis, VEGFR2 and VEGFR1gene expression, migration, and Cell viability. The reductions were significant in the combination state compared to alone treatment. Conclusions: The results showed that the combination treatment with Que with 5-FU enhances the anti-angiogenic property of 5-FU, so it can be proposed as a potential anti-angiogenic and as a result anti-metastatic treatment for future animal studies.