European green deal: Experience of food safety for Ukraine

The systematization of European experience in the formation of food safety through research and analysis of European regulations and strategies. The key principles of the European Green Deal on food safety were analyzed, namely the implementation of the principle of sustainability of food systems and policies for adaptation to climate change. The levels of food safety of Ukraine and Poland were compared according to the main components: food availability, access to food, food safety conditions. According to the results of a sociological study, the level of food safety of Ukraine in terms of the introduction of the land market was assessed. A portrait of a landowner was formed, and the presence of a land plot affects the state of food supply. Based on the analysis of the main provisions of the European Green Deal and food safety policy (on the example of Poland), the areas of increasing the level of food safety in Ukraine were identified: completion of land reform and lifting the moratorium on the sale of agricultural land; ensuring the production of value-added products; adaptation to climate change, development, and implementation of a national program for rural development.

Influence of different preparation techniques on the composition and antioxidant action of curcumin and curcuminoids

Epidemiological evidence indicates that plant antioxidants activity can treat or help to prevent the development of various diseases. One species with great potential as an antioxidant is Curcuma longa. However, different extraction techniques can influence isolated chemical compounds. This study investigated chemical composition and antioxidant activity of two rhizome extracts of C. longa: hydroethanolic, obtained by exhaustion (HECLex); and dried by a spray dryer (HECLsd). The phytochemical composition was evaluated by GC/MS. Antioxidant activity was evaluated using DPPH and FRAP assays. Total phenolic compounds and soil analyses were performed. The main components of HECLex were ar-turmerone, γ-curcumene, α-turmerone, and β-sesquiphellandrene. The main components of HECLsd were 9,12,15-octadecatrienoic acid, 2,3-bis([trimethylsilyl]oxy)propyl ester, verrucarol, and 1-monolinoleoylglycerol trimethylsilyl ether. HECLsd had significantly higher levels of phenolic compounds and higher antioxidant capacity compared with HECLex. In conclusion, processes of the preparation of C. longa rhizomes alter the chemical components and consequently their biological activity.

Estimation of urinary delta aminolevulinic acid levels in gasoline and petrol pump workers as an index of lead exposure

Lead poisoning is a phenomenon which with growing globalization is being a subject of worry.ALA i.e Amino levulinic acid is a precursor of hemoglobin, which is synthesized in mitochondria by two main components succinyl Co-A and glycine in presence of ALA-S i.e. amino levulinic acid-synthase. Urinary ALA (ALA-U) has been a recommended biomarker for lead exposure. Inhibition of Amino levulinic acid-dehydratase (ALA-D) results into activation of ALA-S which further synthesizes ALA, excess of ALA is accumulated in the blood, plasma, urine. Present manuscript is focused on the estimation of levels of ALA in the urine of gasoline and pertol pump workers, by acidifying the urine to extract out ALA and reading it colorimetrically as they are exposed to fumes released by gasoline, petrol, and petroleum products which contains lead. Awareness and safety measures such as protective masks and gears should be provided by the respective organisations to the workers.

IMPLEMENTASI R-SHINY UNTUK ANALISIS BIPLOT KOMPONEN UTAMA (Studi Kasus: Penggunaan Alat Kontrasepsi pada Peserta Aktif KB di Provinsi Jawa Tengah Tahun 2019)

The population problem is a fairly complex and complicated problem. Therefore, Indonesia seeks to control the birth rate with the Family Planning program. The implementation of this program can be evaluated through statistical data. The statistical analysis used is biplot principal component analysis to see the relationship between districts/cities in choosing the contraceptive device/method used, the variance of each contraceptive device/method, the correlation between contraceptive devices/methods, and the superiority value of the contraceptive device/method in the population. each district/city. The problem with performing the analysis is the limitations of easy-to-use open source software. As with R, users must understand writing code to perform data analysis. Therefore, to perform a biplot analysis of the principal components, an RShiny application has been created using RStudio. The R-Shiny that has been made has many advantages, including complete results which include data display, data transformation, SVD matrix, to graphs along with plot graph interpretation. The results of the principal component biplot analysis using R-Shiny with α =1 have the advantage of a good principal component biplot, which is 95.63%. This shows that the biplot interpretation of the main components produced can be explained well the relationship between the district/city and the contraceptive methods/devices used.

Chemical profile of manually extracted andiroba oil (Carapa guianensis Aubl., Meliaceae) from Mamangal community, located in Igarapé-Miri, Pará, Brazil

Carapa guianensis species belongs to the Meliaceae family and, in the Brazilian Amazon, it has great importance in folk medicine, mainly because the oil extracted from its seeds presents varied biological activities. Thus, the present work aimed to analyze, by gas phase chromatography coupled to mass spectrometry (GC/MS), the chemical composition of manually extracted andiroba oil, from Mamangal community, located in Igarapé-Miri, Pará, Brazil. As results, 99.63% of the constituents of the oil sample were identified and quantified from which the main components were oleic, palmitic, stearic, and linoleic acids. The manual oil extraction from andiroba seeds in the Mamangal community is sustainable and economically viable. Due to the high content of saturated and unsaturated fatty acids C. guianensis oil can be considered interesting useful for pharmaceutical and cosmetic industries. Indeed, the unsaturated fatty acids represented 57.5% of the oil constituents, among which the essential ones stand out, as they have great applicability in healing drugs formulation.

In vivo antiplasmodial properties of fractions and flavonoids of Pseudarthria hooheri Wight & Arn. (Fabaceae)

Malaria is regarded as one of the most lethal diseases. Resistance to artemisinin and its derivatives jeopardises effective malaria treatment. Finding novel antimalarial chemicals is critical given the existing treatment situation. This work aimed to examine the antiplasmodial capabilities of <i>Pseudarthria hookeri</i> fractions and flavonoids in vivo. The fractions and compounds antiplasmodial activity were evaluated on male Swiss albino mice infected with <i>Plasmodium berghei</i>, and on healthy female Swiss albino mice, the crude extract's acute toxicity was assessed. The EtOAc fraction had significant antiplasmodial activity (32.53 percent suppression at 500 mg/kg BW) and considerably prolonged the survival period of infected mice (9.8 days) compared to control mice (7.8 days). Parasitaemia was dramatically reduced (85.01, 59.41, and 70.39 percent), and the mean survival time extended (11.33, 10.00, and 9.33 days) with 15, 20 and 35 mg/kg of quercetin (<b>1</b>), 7-O-benzyl-6-prenylpinocembrin (<b>6</b>) and 6,8-diprenyleriodictyol (<b>11</b>) (isolates of the EtOAc fraction), respectively. BW loss and PCV reduction were also averted. Moreover, at 2500 mg/kg, the crude extract of <i>P. hookeri</i> showed no acute toxicity in mice. LC-MS analysis of the EtOAc fraction enabled the identification of nine flavonoids, with <b>8</b> and <b>11</b> being the main components. The present investigation confirmed <i>P. hookeri</i>'s antiplasmodial action, substantiating its ethnomedicinal application for malaria treatment.

Logging Trail Segmentation via a Novel U-Net Convolutional Neural Network and High-Density Laser Scanning Data

Logging trails are one of the main components of modern forestry. However, spotting the accurate locations of old logging trails through common approaches is challenging and time consuming. This study was established to develop an approach, using cutting-edge deep-learning convolutional neural networks and high-density laser scanning data, to detect logging trails in different stages of commercial thinning, in Southern Finland. We constructed a U-Net architecture, consisting of encoder and decoder paths with several convolutional layers, pooling and non-linear operations. The canopy height model (CHM), digital surface model (DSM), and digital elevation models (DEMs) were derived from the laser scanning data and were used as image datasets for training the model. The labeled dataset for the logging trails was generated from different references as well. Three forest areas were selected to test the efficiency of the algorithm that was developed for detecting logging trails. We designed 21 routes, including 390 samples of the logging trails and non-logging trails, covering all logging trails inside the stands. The results indicated that the trained U-Net using DSM (k = 0.846 and IoU = 0.867) shows superior performance over the trained model using CHM (k = 0.734 and IoU = 0.782), DEMavg (k = 0.542 and IoU = 0.667), and DEMmin (k = 0.136 and IoU = 0.155) in distinguishing logging trails from non-logging trails. Although the efficiency of the developed approach in young and mature stands that had undergone the commercial thinning is approximately perfect, it needs to be improved in old stands that have not received the second or third commercial thinning.

Selectivity Control of C-O Bond Cleavage for Catalytic Biomass Valorization

Increasing fossil fuels consumption and global warming have driven the global revolution towards renewable energy sources. Lignocellulosic biomass is the main source of renewable carbon-based fuels. The abundant intermolecular linkages and high oxygen content between cellulose, hemicellulose, and lignin limit the use of traditional fuels. Therefore, it is a promising strategy to break the above linkages and remove oxygen by selective catalytic cracking of C–O bond to further transform the main components of biomass into small molecular products. This mini-review discusses the significance of selectivity control in C–O bond cleavage with well-tailored catalytic systems or strategies for furnishing biofuels and value-added chemicals of high efficiency from lignocellulosic biomass. The current challenges and future opportunities of converting lignocellulose biomass into high-value chemicals are also summarized and analyzed.

Protein folding and unfolding: proline cis - trans isomerization at the c subunits of F 1 F O -ATPase might open a high conductance ion channel

The c subunits, which constitutes the c-ring apparatus of the F F -ATPase, could be the main components of the mitochondrial permeability transition pore (mPTP). The well-known modulator of the mPTP formation and opening is the cyclophilin D (CyPD), a peptidyl-prolyl cis- trans isomerase. On the loop, which connects the two hairpin α-helix of c subunit, is present the unique proline residue (Pro ) that could be a biological target of CyPD. Indeed, the proline cis- trans isomerization might provide the switch that interconverts the open/closed states of the pore by pulling out the c-ring lipid plug.