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Mar 2023 DOI 10.14302/issn.2471-2140.jaa-23-4426
The use of conventional drying methods for dehydrating vegetables and fruits with high sugar, amino acid, and moisture content is not feasible. Under extreme conditions, drying reduces the amount of functional ingredients present in these vegetables and fruits. Recently, there has been an increasing demand for powdered tomatoes because of their nutritional and functional components. This study aimed to evaluate tomato drying under normal pressure and low-temperature conditions, to efficiently reduce water content without compromising on product quality. A convection dryer, most widely used in food factories, was used in this study. This equipment uses a low temperature zone not normally used for drying, and processes the raw material to increase the drying area for rapid drying. The proposed method was validated by comparing the moisture and functional component contents, and the antioxidant activity of the dried product with those of the dried product obtained via freeze-drying. The results suggest that the proposed low-temperature drying method can produce functional dried food at food processing sites faster than using freeze-drying, with a residual rate of functional ingredients exceeding 90 %. Thus, low-temperature drying can be used as a simple and cost-effective method for the production of uniform dry tomato powder.
Aug 2020 DOI 10.14302/issn.2641-4538.jphi-20-3475
Effluents discharged from various industries contain heavy metals. They reach the environment and affect the quality of air, water and soil. Though they are needed in trace quantities for living organisms, they become toxic when they exceed the threshold concentrations. Hence the present study has been designed to test the efficiency of Lycopersicon esculentum in removing zinc from soil. The tomato plants were grown in soil applied with 100, 200, 300, 400 and 500ppm of zinc sulphate for 60 days. Every fortnight, soil samples were taken and analysed for the levels of Cu, Zn, Fe and Mn. Percent removal of zinc by the plant was calculated from the residual concentration. More removal was noticed in higher concentrations of zinc. After 60 days of treatment, levels of Cu, Zn, Fe and Mn were analysed in the above ground and below ground parts of the tomato plant. Zinc level was 90 ppm in both cases and the same in plants grown in all the concentrations of zinc sulphate. Fluctuations in chlorophyll content were noticed while decline was observed in microbial colonies. The data were subjected to two way analysis of variance and the results are discussed. Graphical Abstract
May 2020 DOI 10.14302/issn.2639-3166.jar-20-3363
Rapid analyses methods for the assessment of soil microbiota are lacking. In a commercial farm tomato plants were subjected to different fertilization strategies: 1. mineral Control (C); 2. Organic amendment (O); 3. Organic amendment + Micosat F © biofertilizer (OM). A first rapid method (Litterbag-NIRS) concerned hay litterbags coupled with a smart SCiOTM device. A second method (Foliar-NIRS) used the same device on the leaves. The plants showed positive responses to the amendment and biofertilization in the yield: C 60.5.1 t ha-1vs. 70.8 in O (+17%) and 74.2 in OM (+23% from C and + 5% (P 0.08) from O). The use of Litterbag-NIRS fingerprinting, completed with litterbags phenotyping and elaborated with a multivariate support vector machine classifier provided a similar knowledge to that obtained from microbial and chemical analyses of the soil. The reason for this response is that the analyses were embedded in the Litterbag-NIRS at medium-high precision. A polydromic function was hypothesized in order to disentangle the activities of different soil microbial populations from each other. The organic amendment delayed the functionality of the rapid r-strategist microbial populations, but at the same time activated slow k-strategists to intake the walls of the hay inside the litterbags. In this sense, the Litterbag-NIRS test can provide an effective “swamp” of the microbial fertility of the soil. Briefly, the Litterbag-NIRS coupled with Foliar-NIRS accounted for 95% of the average yield results, and both are therefore recommended for a rational assessment of microbial soil fertility.
Dec 2018 DOI 10.14302/issn.2379-7835.ijn-18-2491
Objective: To evaluate the efficacy and safety of a novel tomato-based food supplement on the lower urinary tract symptoms (LUTS) of patients with benign prostatic hyperplasia (BPH). Methods: Twenty patients with BPH were enrolled in this observational study. They were assigned to consume daily a sachet of Lycoprozen® (5 grams) dissolved in water for two months. Results: All patients successfully completed the Lycoprozen scheduled regimen and the IPSS (International Prostatic Symptom Score) questionnaire before and after treatment. No side effects due to treatment were noticed. In this preliminary study, we have found that Lycoprozen® significantly reduced the LUTS severity (paired t-test, two-tailed p value < 0.0001). The IPSS mean values before and after the treatment were 16.95+6.0 SD (range 31-6) and 12.2+4.9 SD (range 20-2), respectively. Conclusions: Based on these data, Lycoprozen® may represent a suitable alternative option for the treatment of symptomatic BPH patients which worth of further testing in a phase 2 prospective randomized double blind placebo controlled study. The treatment was without side effects and acceptance among patients was high.
Jan 2026 DOI 10.14302/issn.2574-612X.ijpr-25-5920
The present study examines the effectiveness of Cognitive-Analytic Therapy (CAT) in women diagnosed with breast cancer and Post-Traumatic Stress Disorder (PTSD) on reducing PTSD symptomatology and improving their mental health state (depression, self-esteem, post- traumatic growth, quality of life, therapeutic alliance). Additionally, the investigation includes the determination of the demographic, socio-economic and medical factors’ impact on mental health indicators in women with breast cancer and PTSD. The sample was 188 women with breast cancer and PTSD at the Chemotherapy Unit of ‘Agios Andreas’ General Hospital in Patras. The questionnaire data were analyzed using descriptive and inferential statistical analysis in order to determine any statistically significant correlations between the experimental and the control group and between psychological scales and the demographic and socio-economic factors. The findings confirm the effectiveness of CAT in women with breast cancer and PTSD in reducing PTSD and depressive symptoms, improving self-esteem and quality of life, achieving greater post-traumatic growth, and fostering a better therapeutic relationship with the therapist. The demographic, socio-economic and medical factors examined affected dissimilarly each psychological scale, as statistically significant associations were found with some scales but not with others.
Jul 2025 DOI 10.14302/issn.2769-2264.jw-25-5578
Wetland encroachment due to agricultural land use practices (LUPs) adversely affects water quality in wetlands mainly through agricultural runoff. This study was conducted in Lubigi wetland in Uganda to (1) determine the effect of the agricultural LUPs on water quality and (2) understand the relationships between different water quality indicators and different agricultural LUPs existing in the wetland. The eight LUPs included in this study were perennial crops i.e. banana farming and sugarcane farming, annual crops i.e. maize farming and tomato farming, livestock farming which included a mixture of cows, goats, and sheep, undisturbed dense natural vegetation, reference wetland and the river. Water samples collected from the different LUPs were analyzed in the laboratory for selected physicochemical and biological water quality parameters. The water samples were analyzed for a variety of properties, including pH, electrical conductivity, total hardness, Ca-hardness, Mg- hardness, and concentrations of dissolved oxygen, calcium, magnesium, fluoride, total nitrogen, nitrates, ammonium, phosphates, potassium, total coliform, and Escherichia coli (E. coli), chemical oxygen demand, biological oxygen demand, total organic carbon, total dissolved solids, chlorides, sulphates, total phosphorus, and turbidity levels. The results suggested that the different LUPs influenced several water quality parameters. Dissolved oxygen was lowest in banana fields and the river at 2.57 mg/L and 3.44 mg/L respectively than other LUPs which limits survival of aquatic organisms. Biological oxygen demand, chemical oxygen demand and total organic carbon were high in the river water with values = 69.67 mg/L, 351.67 mg/L, 117.33 mg/L respectively indicating high organic pollution. We detected nutrient pollution in water from tomato and sugarcane fields which showed high concentrations of nitrates. The concentration of ammonium in river water (10.40 mg/L) was high, indicating nitrogen contamination. In all LUPs, Escherichia coli and total coliforms had high counts exceeding 2000 CFU/100mL which indicated elevated microbial pollution from livestock waste and agricultural runoff. Cluster analysis revealed distinct clusters influenced by varying water quality parameters. These findings show that agricultural LUPs in Lubigi wetland are significantly contributing to water pollution through microbial contamination, nutrient, and organic matter accumulation, which increases the potential for eutrophication and renders the water unsafe for drinking and domestic use. Implementing best management practices (BMPs) is essential for the sustainable use and management of the wetland.
Mar 2025 DOI 10.14302/issn.2638-4469.japb-25-5395
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability, making early and accurate detection crucial for effective disease management. In current years, deep neural network (DNN) techniques have shown remarkable potential in the field of image classification, including plant disease detection. The study aims to investigate the performance of two popular deep learning architectures, namely, VGG16 and InceptionResNetV2, for the detection of tomato plant leaf disease. The proposed methodology involves acquiring a diverse dataset comprising high-resolution images of healthy and diseased leaves from the target crops. Preprocessing techniques such as image augmentation and normalization are applied to enhance the generalization ability of the models and mitigate overfitting. Transfer learning is employed to initialize the deep learning architectures with weights pre-trained on large-scale image datasets to accelerate convergence and improve the models' performance in limited data scenarios. To evaluate performance of proposed networks various metrics such as validation and test accuracies, precision and recall, F1 score, and the area under the curve (AUC) are considered. From the investigations, the classification accuracy of the finest architectures is as follows: 99.8 percent for VGG16 and 99.4 percent for InceptionResNetV2 on Corn Leaves. The results suggest that the models developed during the investigation phase to identify the leaf disease were superior to any existing Deep Neural Networks (DNNs).
Mar 2022 DOI 10.14302/issn.2641-4538.jphi-22-4113
Objectives Our study aims to determine the trend of the antibody titer and assess the efficacy of the vaccine. Methods It was conducted on 983 healthcare professionals between 27 February 2020 and 22 October 2021 at the Local Health Authority (ASL) of Rieti. Workers voluntarily underwent serological testing before vaccination (T1), at least 15 days after vaccination (T2), and at least 150 days after vaccination (T3). We picked individuals who had received two doses of the vaccine. As for positivity, we assessed incidence – and therefore symptomatology – in three time intervals. We used a contingency tables for the analysis and tested the relation to the chi-square test and ANOVA test. Regarding differentials in terms of antibody capacity, we considered different time intervals: the methodological approach was the same. Results The average value of the dimeric serological testing at T1 was equal to 28.80 AU/mL, which increased to 220.55 AU/mL at T2, and then decreased to 143.62 AU/mL at T3 (P = 0.000). At T2, the number of people with a protective titer was equal to 95.96% of the total; at T3, it was equal to 96.39% (P = 0.019). Before the vaccination campaign, 75 workers tested positive (25 paucisymptoms, 4 severe symptoms). After vaccination, 14 workers tested positive: almost all were asymptomatic. Conclusion Vaccination determines a statistically significant variation of the average value of antibody titer, a statistically significant reduction of positive swab tests and a better prognosis.
Oct 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3951
This article has been retracted on July 20, 2022. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2692-1537.ijcv-25-5866) In December 2019, a novel coronavirus, now named as SARS-CoV-2, caused a series of acute atypical respiratory diseases in Wuhan, Hubei Province, China. The disease caused by this virus was termed COVID-19. The virus is transmittable between humans and has caused pandemic worldwide. The number of death tolls continues to rise and a large number of countries have been forced to do social distancing and lockdown. In humans, COVIDs mostly cause respiratory and gastrointestinal symptoms. Clinical manifestations range from a common cold to more severe disease such as bronchitis, pneumonia, severe acute respiratory distress syndrome, multi-organ failure and even death. Preliminary evidence suggests children are just as likely as adults to become infected with SARS-CoV-2 but are less likely to be symptomatic or develop severe symptoms. in our study , we consider the symptomatology , complications and mortality patterns of this disease in children.
Nov 2017 DOI 10.14302/issn.2638-4469.japb-17-1838
Strawberry powdery mildew, caused by Podosphaeraaphanis is a major fungal disease that affects strawberry yield and quality. In the model plant species Arabidopsis and the crop plants barley, tomato and pea, the Mildew resistance locus O (MLO) proteins have been found to be required for powdery mildew susceptibility. The present study, based on the sequence of a wild plum (Prunus americana) MLO protein, identified 16 MLO genes within the genome of woodland strawberry, Fragaria vesca and examined their expression pattern in response to powdery mildew infection in three diploid strawberry cultivars. Phylogenetic analysis showed that the FvMLO genes can be classified into six clades. Four FvMLO genes were grouped into clade III, which comprises MLO genes from Arabidopsis, tomato and grapevine that mediate powdery mildew susceptibility. A RNA-seq analysis of two diploid strawberry cultivars, F. vescassp. vesca accession Hawaii 4 (HW) and F. vesca f. semperflorens line “Yellow Wonder 5AF7” (YW) at 1 d (1 DAI) and 8 d (8 DAI) after infection showed the expression of 12 out of the 16 FvMLO genes. The comparison of Fragments Per Kilobase of transcript per Million mapped reads (FPKM values) detected by RNA-seq and expression values of qRT-PCR for FvMLO genes showed substantial agreement. The FvMLO3 gene, which was grouped in clade III and orthologous to the Arabidopsis,tomato and grapevine genes, was highly expressed in YW compared to other FvMLO genes across varieties. The results showed that FvMLO genes can be used as potential candidates to engineer powdery mildew resistance in strawberry based on MLO suppression or genome editing.
Aug 2017 DOI 10.14302/issn.2574-612X.ijpr-17-1604
Objective To compare Brief Adlerian Psychodynamic Psychotherapy (B-APP) plus venlafaxine versus venlafaxine plus usual care on pain and depressive symptomatology of depressed patients with cancer pain. Methods A total of 100 patients with pain and mood depression, according to DSM IV-TR, were randomized to receive treatment with B-APP plus venlafaxine (n=51) or venlafaxine plus usual care (n=49). The sample was evaluated at baseline and after 10 weeks with the Visual Analogue Scale (VAS); the Hospital Anxiety Depression Scale (HADS); the Montgomery Asberg Depression Rating Scale (MADRS); the Clinical Global Impressions (CGI); the Mini-Mental Adjustment to Cancer Scale (Mini-MAC); the European Organization for Research and Treatment of Cancer Quality-of Life Questionnaire (EORTC QLQ-C30) and the Dosage Record and Treatment Emergent Symptom scale (DOTES). Only at the endpoint was the Verona Service Satisfaction Scale (VSSS-54) also administered. Results A significant reduction in VAS and HADS scores was observed in both treatments, but a higher significance (p<0.01) was present only in subjects also treated with psychotherapy. A significant change was obtained in Mini-MAC scores (p<0.01) for Fighting Spirit, Fatalism, Anxious Preoccupation (p<0.01) and Avoidance items (p<0.05) only in patients treated with combined therapy. The combined group also showed more satisfaction with the treatment in their responses to the VSSS-54. Conclusions Brief Adlerian Psychodynamic Psychotherapy (B-APP) in combination with venlafaxine was superior to usual care and venlafaxine in improving depressive symptomatology and reducing pain.
Jan 2017 DOI 10.14302/issn.2476-1710.jdt-16-1324
An important step in the validation of disorder-specific etiological models is the examination of the predictive specificity of proposed vulnerability factors. It may advance the understanding of the emergence of comorbidity and the identification of at risk-populations for mental disorders. To enhance the currently limited evidence on the specificity of Beck´s cognitive diathesis-stress model of depression, the present study investigated longitudinal effects of dysfunctional attitudes and stressful life events on the development of depressive, eating disorder and aggressive symptoms in children and adolescents. A large sample of initially asymptomatic children and adolescents completed self-report symptom measures at study entrance and again approx. 20 months later, and reported stressful life events during the study interval. Stressful life events proved to be a risk factor to all investigated symptom domains. Dysfunctional attitudes at T1 were prospectively related to depressive symptoms, aggressive behavior and weight concerns at T2. However, types of associations varied as dysfunctional attitudes showed linear associations with weight concern, but nonlinear effects on depressive and aggressive symptomatology. Findings of the current study thus suggest that dysfunctional attitudes are not uniquely related to the development of depressive symptomatology in children and adolescents, but may contribute to adverse outcomes in various symptom domains. Thus, intervention efforts based on Beck´s vulnerability - stress model of depression may turn out to be useful in reducing vulnerability to a variety of outcomes in children and adolescents.
Mar 2016 DOI 10.14302/issn.2476-1710.jdt-15-825
The prevalence of young adults endorsing depressive symptomatology is thought to peak during late adolescence. While there has been a wealth of research assessing the relationship between decline of the prefrontal cortex and how this process impacts depression and therapy in older adults, very little is known about the relationship on the younger end of the continuum. The current study sought to explore whether there is also a significant relationship between executive functioning and depression in younger adults. In addition, different types of executive dysfunction were assessed to better understand the possible implications for therapy in younger adults with depressive symptomatology. Data from 1,730 college-aged participants were collected on measures of depression (Center for Epidemiological Studies-Depression, CES-D) and executive dysfunction (Dysexecutive Questionnaire, DEX). In addition, three factors of the DEX were assessed; Executive cognition (EC), emotional/ behavioral control (EMO), and metacognition (MC). Correlations between CES-D scores and the full DEX survey were statistically significant (R = .45, p < .001) as were correlations between CES-D scores and scores on each individual factor (p< .001). A multiple linear regression was run to demonstrate the predictive value of each individual DEX factor as a function of CES-D scores (p < .001). Results suggested that there was a clear relationship between depressive symptoms and executive dysfunction and that all factors of the DEX appeared to be affected by depressive symptoms in this population. The implications of these results for therapy, particularly the use of problem-solving therapy or complimentary executive functioning training are discussed.