Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of seaweed fertIlIzer and wood vInegar applIcatIon on nutrIent uptake, plant growth and yIeld of cucumber (Cucumis sativus L) grown in a  greenhouse

This study was carried out at Mersin University, Silifke Vocational School Research and Application. It was conducted in a greenhouse in 2022. The Flora F1 cucumber variety was used to study the effect of the application of seaweed fertilizer and wood vinegar on nutrient uptake, plant growth and yield of cucumber. Wood vinegar (WDV) was prepared in 0.5% solution, and seaweed (SW) fertilizer was applied in a dose of 5 ml dm -3 . They were used alone and combined [SW+WDV(S+F)], into soil and over cucumber leaves. The SW+WDV(S+F) application produced the highest early yield (1.87 kg plant -1 ) and 5.38 kg plant -1 in total yield. These values were 1.47 kg plant -1 and 3.83 kg plant -1 in control, respectively. Also, it was determined that the SW+WD-V(S+F) application provided an increase of 50.1% in total fresh biomass and 37.5% in total dry biomass compared to the control. It was found that while the amounts of N, P, K, Fe, Mn, Cu and Zn were the lowest in the control, the SW+WDV(S+F) application resulted in the highest values. The SW+WDV(S+F) application corresponded to an increase of 28.85% in nitrogen (N), 81.08% in phosphorus (P), and 59.88% in potassium (K) compared to the control. According to the results of study, it was determined that the use of wood vinegar and seaweed ferlilizer, into the soil and over leaves, had a positive effect on plant growth, yield and nutrient aptake. This positive effect may have been due to the beneficial chemical compounds contained in the sea - weed fertilizer, and the suppression of disease and harmful organisms by wood vinegar in both soil and leaves.
THE ROLE OF IMMUNOHISTOCHEMISTRY IN THE DIAGNOSIS OF SEROUS TUBAL INTRAEPITHELIAL CARCINOMA AND ITS ASSOCIATION WITH VARIOUS GYNECOLOGICAL MALIGNANCIES: AN INSTITUTIONAL STUDY

Background: The prognosis for High-grade serous carcinomas (HGSC) remains dire, as they are often identified at late stages. Key to improving early detection is a deeper understanding of HGSC pathogenesis. The identification of Serous tubal intraepithelial carcinoma (STIC) as a primary precursor to HGSC has underscored the need for precise diagnostic measures to detect these early lesions. Objectives: The focus of this study is to appraise the utility of immunohistochemistry (IHC), specifically through p53 and Ki67 labeling indices, in confirming STIC diagnoses. It also aims to investigate the relationship between STIC and a range of gynecological malignancies. Materials and Methods: This study encompassed a review of 38 cases, including both ovarian and non-ovarian malignancies, collected over a span of three years. Fallopian tube samples were processed following the SEE-FIM protocol, and IHC was employed to assess the expressions of p53 and Ki67 markers. Result: From the total cases, 35 (92%) pertained to ovarian malignancies, while 3 (8%) were cases of endometrial serous carcinomas. Notably, the p53 signature was present in 8 cases (21%), and instances of STIL and STIC were detected in 3 cases each (8%). Observations of Secretory cell outgrowth (SCOUT) were made in 10 cases (26%). Conclusion: Accurate identification of HGSC precursor lesions in the ovary necessitates the integration of the SEEFIM protocol, rigorous morphological evaluation, and IHC analysis. This triad is crucial for the reliable detection of early lesions, potentially pivotal in the progression to HGSC, thereby playing a critical role in advancing diagnostic accuracy and early intervention strategies.
and its association with herd management practices in Northern China

Contamination of raw milk with bacterial pathogens is potentially hazardous to human health. The aim of this study was to evaluate the total bacteria count (TBC) and presence of pathogens in raw milk in Northern China along with the associated herd management practices. A total of 160 raw milk samples were collected from 80 dairy herds in Northern China. All raw milk samples were analyzed for TBC and pathogens by culturing. The results showed that the number of raw milk samples with TBC <2 × 10 6 cfu/mL and <1 × 10 5 cfu/mL was 146 (91.25%) and 70 (43.75%), respectively. A total of 84 (52.50%) raw milk samples were Staphylococcus aureus positive, 72 (45.00%) were Escherichia coli positive, 2 (1.25%) were Salmonella positive, 2 (1.25%) were Listeria monocytogenes positive, and 3 (1.88%) were Campylobacter positive. The prevalence of S. aureus was influenced by season, herd size, milking frequency, disinfection frequency, and use of a Dairy Herd Improvement program. The TBC was influenced by season and milk frequency. The correlation between TBC and prevalence of S. aureus or E. coli is significant. The effect size statistical analysis showed that season and herd (but not Dairy Herd Improvement, herd size, milking frequency, disinfection frequency, and area) were the most important factors affecting TBC in raw milk. In conclusion, the presence of bacteria in raw milk was associated with season and herd management practices, and further comprehensive study will be powerful for effectively characterizing various factors affecting milk microbial quality in bulk tanks in China.
Correlation between weight, height, and body mass index with hand grip strength among junior high school

The association between body size, diseases, and dysfunction with HGS in adolescents has been widely studied. However, the results are less conclusive due to various influencing factors. This study aimed to investigate the correlation between weight, height, and BMI with HGS and the effect of gender in adolescents. This cross-sectional study was followed by 117 students (66 boys, 51 girls) of Susteran Junior High School Purwokerto in May 2023. Weight and height were measured according to the standard procedure. BMI was calculated based on a standard formula. HGS was examined using a digital hand dynamometer. Independent T-test and Pearson correlation were applied. Significance was set at p <0.05. Weight, height, and BMI between genders were not different ( p =0.81, 0.50, and 0.22, respectively). Boys had stronger HGS than girls (25.0±7.1 vs 19.8±4.3, p <0.01). Weight and height had weak correlation with HGS in boys ( p =0.02, r=0.28, and p =0.03, r=0.26), moderate correlation in girls ( p <0.01, r=0.57 and p <0.01, r=0.50), and overall ( p <0.01, r=0.41 and p <0.01, r=0.45). BMI had a moderate correlation with HGS in girls ( p <0.01, r=0.52) and a weak correlation overall ( p <0.01, r=0.29). No correlation was found between BMI and HGS in boys. Weight and height correlate with HGS in boys, girls, and overall, but BMI correlates with HGS in girls and overall.
Crop Yield Prediction in Nigeria Using Machine Learning Techniques: A Case Study of Southern Part Nigeria

A key tool for digitalizing the agriculture sector and other industries is using big data and machine learning to predict farm produce. The inability of farmers to accurately predict yield is a great problem using previous farming experience. This study adopted three (3) machine learning approaches, including a decision tree classifier, random forest, and support vector machine, to model data from different zones and make predictions. The techniques adopted were tested using root mean square error to ensure the right prediction algorithm is adopted and the right values are obtained. Results show prediction from the South East is the best in terms of yields and accuracy when tested and evaluated, with 138.9 %.
Olive Oil Waste as a Source of Functional Food Ingredients: Assessing Polyphenolic Content and Antioxidant Activity in Olive Leaves

Around two million tons of olive oil are produced in Europe annually, with Portugal being among the top five European olive oil-producing countries. Olive oil production results in a substantial amount of waste in the form of olive leaves. These discarded olive leaves contain valuable phenolic compounds with antioxidant, anti-inflammatory, hypoglycaemic, neuroprotective, and antiproliferative properties. Due to their richness in polyphenols with health-promoting properties, olive leaves can be considered a potential functional food ingredient. Thus, sustainable practices for reusing olive leaf waste are in demand. In this study, the polyphenolic content in olive leaves from different Portuguese locations was determined using HPLC-UV-Vis after defining the best fit-for-purpose liquid extraction strategy. The differences in the in vitro antioxidant activity in these samples were determined by several methodologies based on radical scavenging (against 2,2′-azino-bis-3-ethylbenzthiazoline-6-sulphonic acid (ABTS), 2,2-diphenyl-2-picrylhydrazyl (DPPH), and peroxyl radical (ORAC)) and on reducing properties (cupric-reducing antioxidant capacity (CUPRAC), and Folin–Ciocalteu assay (FC)), to unveil the relationship between the profile and quantity of polyphenols with antioxidant mechanisms and their capacity. At last, the stability of extracted compounds upon lyophilization and exposition to surrogate biological fluids was assessed, envisioning the future incorporation of olive leaves extracted compounds in food products.
Biochar and organic fertilizer drive the bacterial community to improve the productivity and quality of Sophora tonkinensis in cadmium-contaminated soil

Excessive Cd accumulation in soil reduces the production of numerous plants, such as Sophora tonkinensis Gagnep. , which is an important and widely cultivated medicinal plant whose roots and rhizomes are used in traditional Chinese medicine. Applying a mixture of biochar and organic fertilizers improved the overall health of the Cd-contaminated soil and increased the yield and quality of Sophora. However, the underlying mechanism between this mixed fertilization and the improvement of the yield and quality of Sophora remains uncovered. This study investigated the effect of biochar and organic fertilizer application (BO, biochar to organic fertilizer ratio of 1:2) on the growth of Sophora cultivated in Cd-contaminated soil. BO significantly reduced the total Cd content (TCd) in the Sophora rhizosphere soil and increased the soil water content, overall soil nutrient levels, and enzyme activities in the soil. Additionally, the α diversity of the soil bacterial community had been significantly improved after BO treatment. Soil pH, total Cd content, total carbon content, and dissolved organic carbon were the main reasons for the fluctuation of the bacterial dominant species. Further investigation demonstrated that the abundance of variable microorganisms, including Acidobacteria, Proteobacteria, Bacteroidetes, Firmicutes, Chloroflexi, Gemmatimonadetes, Patescibacteria, Armatimonadetes, Subgroups_ 6, Bacillus and Bacillus_ Acidiceler, was also significantly changed in Cd-contaminated soil. All these alterations could contribute to the reduction of the Cd content and, thus, the increase of the biomass and the content of the main secondary metabolites (matrine and oxymatrine) in Sophora. Our research demonstrated that the co-application of biochar and organic fertilizer has the potential to enhance soil health and increase the productivity and quality of plants by regulating the microorganisms in Cd-contaminated soil.
The Influence Of Some Financial Ratios, Sales Growth And Debt Maturity On Financial Performance

This research aims to determine and test the influence of several financial ratios, namely liquidity, leverage, sales growth and debt maturity on financial performance. This type of research is quantitative research which uses secondary data sourced from the website www.idx. co.id. The population in this study are food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange with an observation period of 2018-2022. The sampling technique used a purposive sampling method and a total sample of 44 companies was obtained. The analytical method in this research uses multiple linear regression tests with data processing using SPSS version 22 software. The results of the research show that liquidity as proxied by the current ratio and sales growth has a significant effect in a positive direction on financial performance, while leverage and debt maturity have a significant effect in a negative direction. on financial performance.
Large-scale epidemiological analysis of common skin diseases to identify shared and unique comorbidities and demographic factors

Introduction The utilization of large-scale claims databases has greatly improved the management, accessibility, and integration of extensive medical data. However, its potential for systematically identifying comorbidities in the context of skin diseases remains unexplored. Methods This study aims to assess the capability of a comprehensive claims database in identifying comorbidities linked to 14 specific skin and skin-related conditions and examining temporal changes in their association patterns. This study employed a retrospective case-control cohort design utilizing 13 million skin/skin-related patients and 2 million randomly sampled controls from Optum’s de-identified Clinformatics® Data Mart Database spanning the period from 2001 to 2018. A broad spectrum of comorbidities encompassing cancer, diabetes, respiratory, mental, immunity, gastrointestinal, and cardiovascular conditions were examined for each of the 14 skin and skin-related disorders in the study. Results Using the established type-2 diabetes (T2D) and psoriasis comorbidity as example, we demonstrated the association is significant (P-values<1x10-15) and stable across years (OR=1.15-1.31). Analysis of the 2014-2018 data reveals that celiac disease, Crohn’s disease, and ulcerative colitis exhibit the strongest associations with the 14 skin/skin-related conditions. Systemic lupus erythematosus (SLE), leprosy, and hidradenitis suppurativa show the strongest associations with 30 different comorbidities. Particularly notable associations include Crohn’s disease with leprosy (odds ratio [OR]=6.60, 95% confidence interval [CI]: 3.09-14.08), primary biliary cirrhosis with SLE (OR=6.07, 95% CI: 4.93-7.46), and celiac disease with SLE (OR=6.06, 95% CI: 5.49-6.69). In addition, changes in associations were observed over time. For instance, the association between atopic dermatitis and lung cancer demonstrates a marked decrease over the past decade, with the odds ratio decreasing from 1.75 (95% CI: 1.47-2.07) to 1.02 (95% CI: 0.97-1.07). The identification of skin-associated comorbidities contributes to individualized healthcare and improved clinical management, while also enhancing our understanding of shared pathophysiology. Moreover, tracking these associations over time aids in evaluating the progression of clinical diagnosis and treatment. Discussion The findings highlight the potential of utilizing comprehensive claims databases in advancing research and improving patient care in dermatology.
Isolation of Lactic Acid Bacteria (LAB) from Salmonids for Potential Use as Probiotics: In Vitro Assays and Toxicity Assessment of Salmo trutta Embryonated Eggs

Simple Summary Due to the increase in antibiotic resistance observed in pathogenic bacteria, new alternatives are being explored to reduce the use of these drugs. Probiotics, a group of bacteria that includes lactic acid bacteria (LAB), are capable of stimulating and strengthening the immune system and have showed antagonistic effects against various pathogenic bacteria. The aim of this study was to identify and test potentially probiotic LAB, isolated from Brown trout and Rainbow trout, to select those with the least antibiotic resistance, the best antagonistic effect against fish pathogens, and minimal negative effects during their application on embryonated Brown trout eggs. As a result, various bacterial strains were obtained that proved to be safe in terms of antibiotic resistance and effective against several of the pathogens to which they were exposed. Nevertheless, only a limited number of these strains were found to be safe for use in Brown trout eggs. However, some findings suggest the need to investigate the possibility that certain bacterial strains considered probiotics might have adverse effects on fish health. Abstract This research investigates the potential of lactic acid bacteria (LAB) from freshwater salmonids as prospective probiotics for application in aquaculture. LAB and pathogenic bacteria were obtained from mucus and tissues of Oncorhynchus mykiss and Salmo trutta from fish farms in northeast Spain that had not used antibiotics for the six months preceding the study. Isolates were identified using Gram staining and sequencing of 16S rRNA and ITS-1. To assess the safety of the LAB, antibiotic susceptibility tests (ASTs) against 23 antimicrobials were performed. In vitro antagonism assays were conducted to evaluate the inhibitory effects of living LAB using the agar diffusion test method and their metabolites using the agar well diffusion method. The assays targeted six specific pathogens: Aeromonas salmonicida subsp. salmonicida, Carnobacterium maltaromaticum, Vagococcus salmoninarum, Yersinia ruckeri, Lactococcus garvieae, and the marine pathogen Vibrio jasicida. Additionally, a toxicity assay was conducted on embryonic eggs of S. trutta. The ASTs on probiotic LAB candidates revealed varied responses to antimicrobials, but no resistance to oxytetracycline or florfenicol, which are two antibiotics commonly used in aquaculture, was detected. The in vitro assays indicate that LAB exhibit antagonistic effects against pathogens, primarily when directly stimulated by their presence. In applications involving embryonic eggs or larvae, certain live strains of LAB were found to have adverse effects, with some isolates resulting in higher mortality rates compared to the control group or other isolates. Furthermore, the potential pathogenicity of certain LAB strains, typically considered safe in salmonids, warrants deeper investigation.
The Influence of Tax Planning, Accrual Profit Management and Capital Structure on Company Performance with Firm Size as Moderator (Case Study on Property and Real Estate Companies listed on Indonesia Stock Exchange in 2016-2021)

This study is to examine the effect of tax planning, accrual earnings management and capital structure on firm performance through firm size as a moderating variable. This research was conducted at manufacturing companieslisted on the Indonesia Stock Exchange (IDX) in 2016-2021. The method of determining the sample in this study used the purposive sampling method so that from 49 populations a sample of 43 companies was obtained. The datain this study were analyzed using panel data regression analysis techniques. The results of this study indicate that.The results of the study prove that tax planning has an effect on company performance, accrual earnings management has no effect on company performance, and capital structure has an effect on company performance. Tax planning affects firm performance through firm size as a moderating variable, accrual earnings management influences firm performance through firm size as a moderating variable and capital structure influences firm performance through firm size as a moderating variable. Purpose: (1) To analyze and test the influence of Tax Planning on Company Performance, (2) To analyze and test the influence of Accrual Profit Management on Company Performance, (3) To analyze and test the influence of Capital Structure on Company Performance, (4) To analyze and test whether company size moderates tax planning on company performance, (5) To analyze and test whether Company Size moderates Accrual Profit Management on Company Performance, (6) To analyze and test whether company size moderates capital structure on company performance Design/methodology/approach – Quantitative Research limitations/implications – (1) The use of relatively small sample data, namely only the property and real estate subsector listed on the Indonesia Stock Exchange with a sample size of 43 companies, (2) The research time period is limited, starting from 2016 to 2021, (3) Lack of experience with earnings management practices that apply in the field, (4) This research only uses company size as a moderating variable. (5) Many companies do not disclose their financial reports regularly, so the company is considered not to have fulfilled this aspect of the assessment. Practical implications – The results of this research give rise to managerial implications, namely that tax planning, accrual profit management and capital structure have a positive effect on company performance in property and real estate companies listed on the Indonesia Stock Exchange. The results of this research can provide tax planning due to tax management by carrying out tax planning with Tax savings will increase company profitability which will ultimately increase company value.
Model Eﬃciency and Uncertainty in Quantile Estimation of Loss Severity Distributions

Quantiles of probability distributions play a central role in the deﬁnition of risk measures (e.g., value-at-risk, conditional tail expectation) which in turn are used to capture the riskiness of the distribution tail. Estimates of risk measures are needed in many practical situations such as in pricing of extreme events, developing reserve estimates, designing risk transfer strategies, and allocating capital. In this paper, we present the empirical nonparametric and two types of parametric estimators of quantiles at various levels. For parametric estimation, we employ the maximum likelihood and percentile-matching approaches. Asymptotic distributions of all the estimators under consideration are derived when data are left-truncated and right-censored, which is a typical loss variable modiﬁcation in insurance. Then, we construct relative eﬃciency curves, REC, for all the parametric estimators. Speciﬁc examples of such curves are provided for exponential and single-parameter Pareto distributions for a few data truncation and censoring cases. Additionally, using simulated data we examine how wrong quantile estimates can be when one makes incorrect modeling assumptions. The numerical analysis is also supplemented with standard model diagnostics and validation (e.g., quantile-quantile plots, goodness-of-ﬁt tests, information criteria) and presents an example of when those methods can mislead the decision maker. These ﬁndings pave the way for further work on RECs with potential for them being developed into an eﬀective diagnostic tool in this context.