Regions Of Poland Research Articles

Predicting Starch Content in Early Potato Varieties Using Neural Networks and Regression Models: A Comparative Study

Starch content serves as a crucial indicator of the quality and palatability of potato tubers. It has become a common practice to evaluate the polysaccharide content directly in tubers freshly harvested from the field. This study aims to develop models that can predict starch content prior to the harvesting of potato tubers. Very early potato varieties were cultivated in the northern and northwestern regions of Poland. The research involved constructing multiple linear regression (MLR) and artificial neural network (ANN-MLP) models, drawing on data from eight years of field trials. The independent variables included factors such as sunshine duration, average daily air temperatures, precipitation, soil nutrient levels, and phytophenological data. The NSM demonstrated a higher accuracy in predicting the dependent variable compared to the RSM, with MAPE errors of 7.258% and 9.825%, respectively. This study confirms that artificial neural networks are an effective tool for predicting starch content in very early potato varieties, making them valuable for monitoring potato quality.

Eneolithic grave with vessels of the so-called milk jug type from Zakrzowiec, site 7, Wieliczka district, Lesser Poland

In 2005, during rescue archaeological excavations preceding the building of the A-4 motorway, at site no. 7 in Zakrzowiec, Wieliczka district, an object interpreted as a grave of the Wyciąże-Złotniki group of the Lengyel-Polgár complex was discovered. A human skeleton has not been preserved. The grave furnishings consisted of two amphorae of the “milk jug” type (German term: milchtopf, Hungarian term: tejesköcsög). Vessels of this type belong to the basic taxonomic distinction of the Wyciąże-Złotniki group and are known from both graves and settlement sites. One of the vessels from the grave in Zakrzowiec has a unique decoration in the form of Scheibenhenkel type handles and a circumferential zigzag pattern formed of short engraved lines. This is the first such decoration on “milk jug” type amphorae known from the Lesser Poland region.

Assessment of soil CO2, CH4, and N2O fluxes and their drivers, and their contribution to the climate change mitigation potential of forest soils in the Lublin region of Poland

AbstractForests can play a key role in the mitigation of climate change, although there have been limited regional scale assessments that account for variations in soil type and tree species. Most of the focus has been on their ability to sequester atmospheric CO2, while there is less information on the two other major greenhouse gases (GHGs), N2O and CH4. We examined the GHG budgets of ten forest soils in Poland, considering all three major GHGs, where no previous long-term measurements had been made, which encompassed different tree species, stand age, and contrasting edaphic conditions. In addition to the quantification and assessment of seasonal variability in the major soil GHG fluxes over two years, the aims of the present study were (i) the identification of the main drivers of the soil-based GHG fluxes, (ii) the determination of the contribution of each gas to the Global Warming Potential (GWP), and (iii) to assess the mitigation potential of these fluxes over different forest systems. All the forest soils were sources of CO2 and N2O and sinks for atmospheric CH4 with pronounced seasonal variations in CO2 and CH4 driven by soil moisture and temperature. The soils showed significant differences in annual GHG fluxes, with average values of 16.7 Mg CO2 ha−1, − 3.51 kg CH4 ha−1, and 0.95 kg N2O ha−1. The annual total GWP ranged from 13.1 to 22.0 Mg CO2 eq ha−1 with CO2 making the highest contribution, and forest-specific CH4 uptake resulting in a reduction in GWP, ranging from − 0.08% (in the youngest forest) to -0.97% (in the oldest forest). Mixed forests showed the greatest potential for climate change mitigation, with the highest soil C sequestration, and the lowest GWP values when compared to sites with monocultures. The results suggest that a mixture of tree species could eventually be incorporated into management plans to increase the effectiveness of forests in climate change mitigation.

Assessment of the Impact of Meteorological Variables on Lake Water Temperature Using the SHapley Additive exPlanations Method

The water temperature of lakes is one of their fundamental characteristics, upon which numerous processes in lake ecosystems depend. Therefore, it is crucial to have detailed knowledge about its changes and the factors driving those changes. In this article, a neural network model was developed to examine the impact of meteorological variables on lake water temperature by integrating daily meteorological data with data on interday variations. Neural networks were selected for their ability to model complex, non-linear relationships between variables, often found in environmental data. Among various architectures, the Artificial Neural Network (ANN) was chosen due to its superior performance, achieving an R2 of 0.999, MSE of 0.0352, and MAE of 0.1511 in validation tests. These results significantly outperformed other models such as Multi-Layer Perceptrons (MLPs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory (LSTM). Two lakes (Lake Mikołajskie and Sławskie) differing in morphometric parameters and located in different physico-geographical regions of Poland were analyzed. Performance metrics for both lakes show that the model is capable of providing accurate water temperature forecasts, effectively capturing the primary patterns in the data, and generalizing well to new datasets. Key variables in both cases turned out to be air temperature, while the response to wind and cloud cover exhibited diverse characteristics, which is a result of the morphometric features and locations of the measurement sites.

“Memory of stones”

Abstract This article attempts to interpret folk narratives featuring the motif of producing millstones from erratic boulders and their subsequent reuse in new functional contexts. According to our assumptions, in folk narratives originating from the northern regions of Germany and Poland, where these motifs are present, one can find references to the methods of obtaining stone materials characteristic of these areas. These narratives also include information about the occurrence of erratic boulders – consistent with the geomorphology of regions affected by the last glaciation, and residual information regarding the distribution of millstones as well as semi-finished products. Thus, folk narratives can often serve as an interesting point of reference not only for ethnologists and folklorists but also for geologists and geographers.

Abstract 4131618: Association between Clinical Characteristics and Telomere Length - Factor Analysis of Mixed Data (FAMD)-based Cluster Analysis

Introduction: Telomere length is a marker of cellular aging and is correlated with various cardiovascular risk factors. Aim: To assess the association between clinical characteristics of patients and telomere length in an unselected cohort of patients under the care of primary care physicians. Methods: The LIPIDOGEN study was carried out in the primary care 2015. Patients recruited to LIPIDOGEN cohort (n=1788) were a random subset of patients of LIPIDOGRAM 2015 (n=13,724) study. Patients for LIPIDOGRAM2015/LIPIDOGEN study were recruited in all 16 administrative regions in Poland. Each patient was asked to fill the questionnaire on risk factors, chronic, treatment and lifestyle and also had saliva secured for DNA analyses. Factor Analysis for Mixed Data (FAMD) based cluster analysis was utilized to discern groups of patients with similar clinical profiles and correlate them with relative telomere length (rTL). RTL was measured using quantitative polymerase chain reaction. Results: DNA quality was sufficient for further analyses in 1606 patients. After outlier exclusion, 1,342 patients (59.3% female, mean age 50.2 years) were analyzed. FAMD revealed two distinct clinical characteristic patterns, explaining 41.6% of the total variance in the clinical variables. The first pattern, correlated with male gender and a higher prevalence of MetS, hypertension, diabetes, obesity, greater waist circumference, elevated non-HDL-C and remnant-C levels, was linked to shorter rTL (r = -0.13, p < 0.001). The second pattern, characterized mainly by lipid parameters, showed no significant association with comorbidities or rTL (r = -0.04, p = 0.14). Conclusions: Pattern of clinical characteristics marked by classical cardiovascular risk factors, is inversely related to telomere length, underlining the potential role of metabolic disturbances in cellular aging. The second lipid-centric pattern without significant comorbidities was not associated with telomere length.

ICF based comparison of musculoskeletal health in regions of Poland and Spain

The International Classification of Functioning, Disability and Health (ICF) is the framework for describing disability. The aim of the study was to compare differences in health status between the populations of the Podkarpackie region of Poland and the Castilla y León region of Spain, using the ICF core set for post-acute musculoskeletal conditions. A total of 840 people were included in the study. The brief version of ICF core set for post-acute musculoskeletal conditions was used in the study. Information obtained from semi-structured interviews and a physiotherapy assessment was recoded into ICF qualifiers to obtain comparable data. Significant differences in functioning were found between the two samples, with a higher prevalence in all the ICF entities for the Spanish sample. Similarities were found in the ICF components ‘Body Functions’ and ‘Environmental Factors’, with the most prevalent ICF entities being ‘b280 Sensation of pain’ and ‘e225 Climate’ respectively. For ‘Activities and Participation’, differences were observed, with ‘d430 Lifting and carrying objects’ being the most common for the Spanish sample and ‘d450 Walking’ for the Polish sample. Significant differences were found between the two samples, indicating better musculoskeletal health in the Polish sample. Future research using the ICF Core Sets in practice should be expanded and carried out in other countries to improve the ability to make comparisons between populations and to develop policies for territorial equity in health.Trial registration: NCT06283407.

Geovisualization in Cultural Research of Borderlands: The Example of the Podlasie Region in Poland

Geovisualization in Cultural Research of Borderlands: The Example of the Podlasie Region in Poland

Subsidence and Uplift in Active and Closed Lignite Mines: Impacts of Energy Transition and Climate Change

This study examines the combined effects of decommissioning lignite mining operations and long-term climate trends on groundwater systems and land surface movements in the Konin region of Poland, which is characterised by extensive open-pit lignite extraction. The findings reveal subsidence rates ranging from −26 to 14 mm per year within mining zones, while land uplift of a few millimetres per year occurred in closed mining areas between 2015 and 2022. Groundwater levels in shallow Quaternary and deeper Paleogene–Neogene aquifers have declined significantly, with drops of up to 26 m observed near active mining, particularly between 2009 and 2019. A smaller groundwater decline of around a few metres was observed outside areas influenced by mining. Meteorological data show an average annual temperature of 8.9 °C from 1991 to 2023, with a clear warming trend of 0.0050 °C per year since 2009. Although precipitation patterns show a slight increase from 512 mm to 520 mm, a shift towards drier conditions has emerged since 2009, characterised by more frequent dry spells. These climatic trends, combined with mining activities, highlight the need for adaptive groundwater management strategies. Future research should focus on enhanced monitoring of groundwater recovery and sustainable practices in post-mining landscapes.

Multi-Decadal Impact of Mine Waters in Przemsza River Basin, Upper Silesian Coal Basin, Southern Poland

Anthropogenic increases in the salinity of surface waters are referred to as secondary salinization. In surface waters, salinity levels can vary significantly due to various natural and anthropogenic influences. This article presents multi-decadal observations of changes in surface water salinity in the highly industrialized region in southern Poland. The case study of the Przemsza River is an example of the significant impacts of industrial, mainly coal mining, activities that have changed the chemical and biological characteristics of water bodies. The presented research revealed that impacts on salinity and water body status due to mining discharges will be difficult or even impossible to restore, considering the process of transition of the coal sector. In the Przemsza river basin, almost 42% less mine water was discharged in 2023 than in 1991. Parallelly, the salinity of mine waters discharged from deeper levels of active coal mines has increased due to the geochemical gradient (the total load of chlorides and sulfates was 534.8 MgCl−+SO42− per day in 1991, while in 2023 the total salinity load was 480.1 MgCl−+SO42− per day). Moreover, of the 19 active mine water discharges in 1991, only 11 remain in 2023, while the observed salinity of surface water in the Przemsza watershed increased rapidly from an average of 2000 µS·cm−1 to 6700 µS·cm−1 due to the significant drought and adverse hydrological conditions, which represent low flows never observed before (three times lower flows in the mouth of the Przemsza River in the period 2021–2023 compared to the previous decades 1991–2020). Impacts on water bodies will continue to occur regardless of mining activities in the area—it should be noted that at the end of exploitation, mine water rebound and flooding do not automatically reduce long-lasting impacts on surface waters. Therefore, salinization is a growing threat that might be amplified by climate change. While industrial and urban impacts on surface water change its characteristics, the future challenge of proper water management with a holistic approach is necessary with proper monitoring data collection and river flow-dependent and surface water salinity-dependent discharge of wastewater in the river basin.

Evaluating Extremes in Climatology with Average Value-at-Risk Measure: Example of Precipitation Data from Upper Vistula Region in Poland

Abstract The ability to predict changes in the right tail of daily precipitation distributions over short time periods, as well as the probability of clustering extreme values, is critical for current risk management. In the present study, we apply the well-established metric average value-at-risk (AVaR) for the first time within the field of climatology. We also investigate the evolution of the return level (RL) and the extremal index (EI), which we refer to as risk measures. In the case of precipitation processes, a rise in the first two and a reduction in the third may result in increased hazards. These methods were applied to the new data on the daily sum of precipitation from the region of Upper Vistula in Poland from 1951 to 2020 to analyze the dynamics of changes across time. We found that AVaR and RL have the smallest values for the middle of the analyzed period (years 1971–2010), while EI has a maximal value around 1963–92. Both the beginning and the end of the investigated period are characterized by more extreme and clustered precipitation events. Furthermore, this paper includes some recommendations for the tools used to compute the measures.

The Presence of Heavy Metals in Drinking Water and Its Possible Impact on the Development of Type 1 Diabetes in Children

This study aimed to determine the relationship between the concentration of heavy metals in drinking water and the number of type 1 diabetes mellitus (T1DM) cases in two regions of Poland. The number of births in 2015-16 in Pomeranian Voivodeship was 50,461, while the number of new T1DM cases was 219. In Lublin Voivodeship, the number of births in the same period reached 39,381, and the number of new T1DM cases was 221. The incidence of T1DM, calculated per 100 live births, amounted to 0.43 and 0.56 in Pomeranian and Lublin. The statistical analysis of collected data proved that the number of new T1DM cases in Pomeranian Voivodeship is correlated to the concentrations of selenium (Se; p < 0.0001), lead (Pb; p < 0.00001), cadmium (Cd; p < 0.00001), zinc (Zn; p < 0.00001) and arsenic (As; p = 0.00001). In the case of Lublin Voivodeship, the number of new T1DM cases was correlated to the concentrations of Se (p = 0.0000001), Pb (p < 0.000001), Cd (p = 0.0000001) and Zn (p < 0.00001) in drinking water. No correlation was found between the number of new T1DM cases and arsenic concentration in the drinking water samples from Lublin Voivodeship. The results indicated that environmental exposure to specific heavy metals may contribute to the risk of T1DM, underscoring the need for stringent environmental controls and public health policies to mitigate these risks.

Remnant cholesterol and mortality in 37.559 patients from LIPIDOGRAM 2004, 2006 and 2015 studies

Abstract Introduction Remnant cholesterol (remnant-C) is produced by metabolism of triglyceride rich proteins and contributes to residual cardiovascular (CVD) risk. Purpose To asses association between remnant cholesterol and all-cause mortality in a large cohort of patients under the care primary care physicians. Methods The LIPIDOGRAM studies were carried out in the primary care in Poland in 2004, 2006 and 2015. Patients (n=47,398) recruited in all 16 administrative regions in Poland and physicians were proportionally distributed to the number of inhabitants in each administrative region. Each patient was asked to fill the questionnaire on risk factors, chronic diseases, treatment, and lifestyle. In the present analysis we included consecutive patients with body mass index (BMI) >18.5 kg/m2 aged 18-70 years. Median follow up was (5.3 years (interquartile range 5.7-17.3). For this analysis we approved the cut-off point of fasting remnant cholesterol >30 mg/dL (>0.77 mmol/L) that differentiated subjects at high risk of cardiovascular events. We used univariate and multivariate Cox regression modelling to assess the association between remnant-C and all-cause mortality. Results Finally, 37,559 patients were included meeting the inclusion criteria and for which the follow-up data was available. Mean remnant-C concentration was: 27 mg/dl / 0.7 mmol/l (standard deviation 15 mg/dl/ 0.38 mmol/l). Remnant-C was associated with 5-year mortality and overall mortality during the study period, with hazard ratios (HR) of 1.21 (95% CI: 1.04-1.41, p<0.001) and 1.42 (95% CI: 1.32-1.53, p<0.001) for each 1 mmol/l increase, respectively. After adjusting for age, sex, BMI, education level, place of residence, hypertension, diabetes mellitus, smoking, previous myocardial infarction, metabolic syndrome presence, and statin and fibrate treatments, remnant-C was associated with long-term mortality—HR (per 1 mmol/l) of 1.08 (95% CI: 1.00-1.17, p=0.049)—but not with 5-year mortality—HR (per 1 mmol/l) of 0.97 (95% CI: 0.83-1.13, p=0.7). Predefined level of remnant-C > 30 mg/dl (0.77 mmol/l) was associated with higher 5 year (HR- 1.15, 95%CI (1.02-1.31, p=0.021) (Figure 1A) and long-term all-cause mortality (HR- 1.26, 95%CI (1.19-1.33, p<0.001) (Figure 1B). Conclusions Higher remnant-C cholesterol levels are associated with long term all-cause mortality in patients aged 18-70 years.

Remnant cholesterol, clinical characteristics and mortality in 41.767 patients from LIPIDOGRAM 2004-2015 studies - the factor analysis for mixed data cluster analysis

Abstract Introduction Remnant cholesterol (remnant-C) contributes to residual cardiovascular risk and is produced by metabolism of triglyceride rich proteins. Aim To assess association between clinical characteristics of patients with elevated remnant-C in a large cohort of patients under the care of primary care physicians. Methods The LIPIDOGRAM studies were carried out in the primary care in Poland in 2004, 2006 and 2015. Patients (n=47,398) recruited in all 16 administrative regions in Poland and physicians were proportionally distributed to the number of inhabitants in each administrative region. Each patient was asked to fill the questionnaire on risk factors, chronic diseases, treatment and lifestyle. In the present analysis we included patients with body mass index (BMI )>18.5 kg/m2 aged 18-75 years. We set the cut-off point of fasting remnant cholesterol at >30 mg/dL (>0.77 mmol/L) that differentiated subjects at high risk of cardiovascular events. We carried out Factor Analysis for Mixed Data (FAMD) cluster analysis to discern groups of patients with similar clinical profiles. Results 41,767 patients, for which we had all relevant data, were included in the analysis. Follow-up rate was 97.8%. Three FAMD-derived clinical characteristics patterns accounted for 47.8% of the total variance and were retained for further analysis. The first pattern was associated with higher prevalence of metabolic syndrome (MetS), higher waist circumference, higher levels of non-HDL-C and remnant-C levels. The second pattern was distinguished by lipid parameters, particularly higher HDL-C levels, and was not significantly associated with comorbid conditions. The third pattern was linked to male sex, previous myocardial infarction, smoking, age, lower remnant-C levels, and reduced prevalence of obesity. All patterns were associated with 5-year mortality. The hazard ratio (HR) for mortality per 1 standard deviation (SD) increase in the first pattern score was 1.18 (95% CI: 1.16-1.22, p<0.001). Patients with clinical characteristics corresponding to second pattern had more favorable outcome HR (per 1SD score increase) – 0.75, 95%CI (0.73-0.78, p<0.001). Patients in third cluster, similarly to patients in cluster 1 had increased mortality HR (per 1SD score) – 1.10, (95%CI:1.06-1.15, p <0.001). Higher (>0.77 mmol/l / 30 mg/dl) remnant-C cholesterol significantly contributed to classification of patients into first and third clusters. It was positively associated with first pattern (r=0.64, p<0.001), but negatively with the third pattern (r=0.39, p<0.001). Conclusions Elevated Remnant-C was associated with clinical pattern typical for metabolic syndrome. Interestingly, lower remnant-C levels in patients with comorbidities and more advanced age may not automatically be indicative of a better prognosis – this requires further investigation.Figure 1.Figure 2.

Telomere length across spectrum of metabolic health

Abstract Introduction Telomere length is a marker of cellular aging and is correlated with various cardiovascular risk factors. Aim To assess the association between obesity, metabolic syndrome (MetS) and telomere length. Methods The LIPIDOGEN study was carried out in the primary care 2015. Patients recruited to LIPIDOGEN cohort (n=1788) were a random subset of patients from LIPIDOGRAM 2015 (n=13,724) study. Patients for LIPIDOGRAM2015/LIPIDOGEN study were recruited in all 16 administrative regions in Poland and physicians were proportionally distributed to the number of inhabitants in each administrative region. Each patient was asked to fill the questionnaire on risk factors, chronic diseases, treatments and lifestyle and also had saliva secured for DNA analyses. Recruited patients were divided into four groups based on the presence of MetS: 1) HS – healthy slim 2) MHO – metabolically healthy obese 3) NOMS – Non-obese with MetS 4) MUO – metabolically unhealthy obese. MetS was diagnosed basing on Joint Interim Statement 2009 criteria. Relative telomere length (rTL) was measured using quantitative polymerase chain reaction. Results DNA quality was sufficient for further analyses in 1606 patients. After removing of outliers, 1342 patients (Females - 59.3%, mean age- 50.2 years) were included for further analyses (HS-488, MHO-180, NOMS-165, MUO-509). Increase in BMI, waist circumference, frequency of diabetes mellitus, hypertension, dyslipidemia and history of myocardial infarction moving from HS to MUO was observed. (Table 1.). MUO group exhibited the highest triglycerides and lowest HDL-C levels. RTL length, an indicator of cellular aging, was inversely correlated with metabolic health, being shortest in the NOMS and MUO groups, which may indicate a link between metabolic health and accelerated biological aging. Conclusions Telomere length is shorter in patients with obesity as compared to lean patients even without the presence of MetS. Telomere length in patients with MetS, regardless of concomitant obesity, is shorter than in patients without MetS. Figure 1. Telomere length across metabolic health categories. Table 1. Clinical characteristics of the study participants.Figure. 1.Table. 1.

Regional diversity of the ALS gene and hormesis due to tribenuron-methyl in Centaurea cyanus L.

Centaurea cyanus L. is a common field weed in Eastern Europe but only in Poland biotypes of this species with resistance to acetolactate synthase (ALS) inhibitors have been confirmed. This phenomenon is constantly developing and spreading to consecutive regions of Poland. This study aimed to assess the response of selected Polish C. cyanus populations to tribenuron-methyl and to analyse the genetic variability of the ALS gene of C. cyanus populations resistant to ALS inhibitors. Between 2017 and 2021, 13 seed samples were collected from eastern Poland and a dose-response study with tribenuron-methyl was performed. Eleven populations resistant to tribenuron-methyl were identified. All populations from this study as well as 6 additional resistant populations characterised in the previous dose-response studies were subjected to molecular analysis of the ALS gene. Target-site resistance due to mutations P197S, P197Q, P197T and P197A were identified in 8 populations from Warmia-Masuria and Podlaskie provinces. This is the first case of target-site resistance (TSR) in C. cyanus confirmed by sequencing of the ALS gene. Moreover in some resistant plants, ten changes in the amino acid ALS sequence were identified in comparison to those in the susceptible ones. In none of the populations were all mutations detected in the same individual. The highest frequency of mutations was detected in Warmia-Masuria province. Some C. cyanus populations resistant to ALS inhibitors showed hormesis effect concerning shoot fresh weight after tribenuron-methyl treatment. Stimulation due to half the recommended dose of tribenuron-methyl was the highest and the difference between untreated and treated plants was statistically significant in two populations from Warmia-Masuria and in one from Podlaskie province.

Empirical Evaluation of the Replacement of Conventionally Powered Vehicles with Hybrid and Electric Vehicles on the Example of the Poznań Agglomeration

From the collected data of the Central Register of Vehicles, an average of 15,000 vehicles were registered per month in the Greater Poland region in 2020–2022. It should be borne in mind that most of them were conventionally powered cars-spark-ignition or compression-ignition engines, the daily operation of which negatively affects the environment. Institutions responsible for regulating the homologation of passenger vehicles are introducing increasingly stringent emission standards to reduce the harmful effects of vehicles on the environment. In addition, more and more public campaigns are being conducted on the use of cars equipped with alternative propulsion systems, e.g., electric, full-hybrid or increasingly popular hydrogen-powered vehicles. The publication presents forecasts for the replacement of vehicles equipped with spark-ignition and compression-ignition engines with cars equipped with hybrid propulsion systems or electric systems. Tests of vehicles in real operating conditions were carried out in the Poznań agglomeration in an urban area, where the number of vehicles per area is higher than in the case of a nonurban zone. The research objects were both cars equipped with a conventional drivetrain and a hybrid system. The research made it possible to draw up a hybridization index, which was then applied to the number of vehicles registered over the past few years.

Dysmenorrhea in Polish Adolescent Girls: Impact on Physical, Mental, and Social Well-Being—Results from POLKA 18 Study

Background: Dysmenorrhea, characterised by painful menstrual cramps, is a pressing issue among adolescent girls globally. It significantly impacts their quality of life and has been associated with increased mental health issues and engagement in risky behaviours like smoking. In Poland, there is limited research on menstrual health, emphasising the need for a study to understand dysmenorrhea experiences and their impact on young menstruating individuals. Methods: This research project investigated the effects of dysmenorrhea on quality of life and school attendance, as well as its associations with non-communicable diseases, including mental health among adolescent girls in Poland. Additionally, the study examined risk factors for non-communicable disease development, including high-risk health behaviours and exposure to violence. The study utilised a cross-sectional design, administering self-reported questionnaires in high schools and vocational schools in six voivodeships (regions) in Poland. The analysis was performed using the R language in the Rstudio environment. p-value < 0.05 was considered significant. Results: A significant percentage of respondents experienced heavy menstruation, irregularity, and pain. Adolescents with dysmenorrhea reported higher rates of school absenteeism, mental health issues (such as anxiety and panic attacks), and a higher likelihood of engagement in risk behaviours like smoking and illicit drug use. The study also identified associations between dysmenorrhea and experiences of violence, including sexual abuse and intimate partner violence, as well as links to self-harm and suicidal ideation. Conclusions: These findings contribute to understanding dysmenorrhea among Polish adolescent girls, emphasising the need for tailored interventions and support services. The study underscores the necessity of addressing menstrual health comprehensively, considering its impact on various aspects of young women’s lives and promoting their overall well-being.

Optimization of Potato Cultivation Through the Use of Biostimulator Supporter

Seed potato treatment is vital for plant protection, yield enhancement, and product quality. In the conducted research, the plant biostimulator Supporter was applied to evaluate its impact on potato yields and its structure. Supporter contains both synthetic and SL amino acids, which promote plant growth by enhancing nutrient utilization and fostering the development of a more effective root system. Such a formulation allows to maintain better resistance to environmental stresses, which may include drought or nutrient deficiency, among others. The field study was conducted in 2015–2017 in four towns located in different regions of Poland (Barankowo, Głubczyce, Kędrzyno, and Ryn) using a randomized complete block design with a split-plot design. Varieties (‘Innovator’, ‘Lilly’, ‘Lady Claire’, and ‘Verdi’) were tested. The experiment compared the cultivation technology using Supporter biostimulator with which seed potatoes were treated compared to conventional cultivation (control object) by soaking the tubers in distilled water before planting. The total yield of potato tubers after Supporter application was higher by 13.3%, while the commercial yield increased by 21.1% compared to the traditional cultivation method. The most productive, regardless of cultivation technology and years of research, in terms of total tuber yield was the ‘Lilly’ variety with an average yield of 47.95 t∙ha−1, while the least productive variety was the ‘Innovator’ variety with an average yield of 29.93 t∙ha−1. The ‘Lady Claire’ variety had the highest commercial tuber yield, while the ‘Innovator’ variety had the lowest.

Spring water resources in the Tatra Mountains

The Tatra Mountains stand out as the wettest and most water-rich region in Poland. Despite this, limited studies addressed this issue, and current knowledge largely relies on data obtained in the mid-20th century, with a substantial lack of current estimates. This study aims to fill this gap by evaluating the contemporary water resources of springs in the Tatra Mountains. The study bases on the most recent hydrological mapping of 1,018 springs. The spring resources were evaluated using parameters such as the number of springs, specific runoff, and crenological index, analysed across different physiographic regions, tectonic units, and altitudinal zones. Our studies showed that the highest number of springs occurs in the Western Tatras (66%) between 1000 and 1400 m a.s.l., especially within the Sub-Tatric unit. Springs with discharges ranging from 0.1–1.0 dm3∙s−1 constitute approximately 70% of all springs but they contribute to only 8.1% of spring water resources. Total spring discharge amounted to 2726 dm3∙s−1 and was higher in the Western Tatras (1982.5 dm3∙s−1 than in the High Tatras (743.5 dm3∙s−1 . The specific runoff amounted to 12.9 dm3∙s−1 m−2 with the highest total runoff at altitudes occupied by the most abundant karst springs (1000–1100 m a.s.l.). The crenological index amounted to 4.8 springs∙km−2 and was higher in the Western Tatras (6.5 springs∙km−2) than in the High Tatras (4.9 springs∙kmup−2) . The analysis revealed that the only five largest karst springs, constituting a mere 0.5% of all springs, account for 65% of spring water resources in the Tatras.