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Phosphorus status data from the effects of alendronate, daidzein, tempeh, and probiotics in a postmenopausal rat model with calcium deficit
No full textThis dataset originates from a controlled preclinical study investigating the influence of alendronate, daidzein, tempeh, and probiotics on phosphorus metabolism in a postmenopausal rat model. The experiment was designed to assess how these dietary interventions—administered individually or in combination—affect phosphorus intake, absorption, and tissue distribution in ovariectomized (OVX) and sham-operated (S) female rats over a six-week intervention period.All procedures were conducted in accordance with ethical standards for animal experimentation, approved by the Lokalna Komisja Etyczna (Poznań, Poland), under registration number 21/2021. The experimental design comprised several dietary groups: a sham-operated control (S), an ovariectomized control (O), and treatment groups fed with alendronate (OB), daidzein (OD), tempeh (OT), probiotic (OL), combination of daidzein and probiotic (ODL), and combination of tempeh and probiotic (OTL). Diets were formulated based on the AIN-93M standard, with specific modifications to incorporate the designated bioactive compounds.The dataset includes detailed records of phosphorus intake, phosphorus concentrations in the experimental diets, and food consumption across all groups. Following the intervention, biological samples—including feces and various organs (spleen, femur, heart, liver, kidney, and pancreas)—were collected to quantify total phosphorus content using the ammonium molybdate–vanadate colorimetric method.Collectively, this dataset provides a comprehensive overview of how dietary phytoestrogens (daidzein and tempeh) and probiotics modulate phosphorus homeostasis and tissue-specific deposition patterns in a postmenopausal rat model. The data serve as a foundation for exploring nutrient–bioactive interactions relevant to mineral metabolism, gut–bone axis research, and dietary strategies for bone health in postmenopausal conditions.</p
Data for publication "Do shifts in honeybee crop microbiota enable ethanol accumulation? A comparative analysis of caged and foraging bees"
No full textData related with publication "Do shifts in honeybee crop microbiota enable ethanol accumulation? A comparative analysis of caged and foraging bees". The data include ethanol content analysis data and 16S metabarcoding data.Praca zawiera dane dotyczące analiz zawartości etanolu w próbkach pochodzących z wola pszczół, wody i pokarmu (plik "Samples-EtOH) oraz dane genetyczne dotyczące mikrobioty wola pszczół, wody i pokarmu, uzyskane za pomocą metabarcodingu 16S. Dane dotyczące metabarcodingu składają się z dwóch plików: “Samples-metabarcoding” - lista próbek i ich metadane, “Taxonomy-M1-decont-ASVs” - plik ze wszystkimi wariantami sekwencji zidentyfikowanymi w zbiorze danych (kolumna seq), nazwanymi indywidualnymi numerami (kolumna ASV) wraz z przypisaną im informacją taksonomiczną (kolumny od “domain”, … do “species”). Kolejne kolumny są zatytułowane nazwami próbek (odpowiadającymi “ID” w pliku “Samples-metabarcoding”) i zawierają liczbę odczytów każdej z sekwencji w każdej próbce.</p
Modelowanie, badania i analiza procesów mikroskrawania z dużymi prędkościami odkształceń oraz właściwości warstwy wierzchniej w elementach ze stopu tytanu i stopu niklu
No full textDane w ramach projektu dotyczą publikacji: Parameter Optimisation of Johnson-Cook Constitutive Models for Single Abrasive Grain Micro-Cutting Simulation: A Novel Methodology Based on Lateral Material Displacement Analysis.</p
Source data for: ILC-Based Tracking Control for Linear Systems With External Disturbances via an SMC Scheme
No full textIterative Learning Control (ILC) is renowned for its capability to achieve precise tracking control for systems with repetitive actions at a fixed time interval. However, pursuing the dual objective of high-precision tracking and rapid convergence is a persistent challenge in the field of learning control. To address this problem, a novel ILC method is designed for a class of discrete-time linear systems subject to non-repetitive disturbances in this paper. Particularly, the updating term in ILC is constructed inspired by the principle of sliding mode control (SMC), which results in the learning process being divided into two distinct stages: a rapid reaching stage and a slow sliding stage. As a result, a balance between convergence speed and tracking performance can be ensured via the proposed ILC method. In addition, to attenuate the effects of non-repetitive disturbances, the disturbance compensation mechanism is integrated into the proposed ILC method. Moreover, the optimal value of the learning gain can be determined using the predicted root mean square (RMS) errors of subsequent iterations, eliminating the need for additional tuning actions. Finally, simulation examples are provided to validate the effectiveness and superiority of the proposed new ILC method. Note to Practitioners—For many mechanical components in mechatronic systems and robotics, the motions are repeatable. Iterative learning control (ILC) is a well-established technique ideally suited for enhancing the performance of such repetitive tasks without excessive requirements on sensor-feedback quality or control-loop bandwidth. However, most existing ILC approaches in the literature primarily focus on improving convergence accuracy, while little attention is paid to convergence speed in the iteration domain, especially in the presence of disturbances. This paper addresses the limitations of classical ILC schemes, and draws inspiration from the sliding mode control (SMC) technique. To be specific, a novel SMC-based ILC algorithm is proposed that allows to achieve a good balance between the fast convergence and precise tracking performance, especially in case of iteration variant disturbances. Also, it will be shown how the optimal learning gains can be determined. Base on the examples of multi-axis gantry robot and injection molding process, simulations support the theoretical results, and meanwhile show the effectiveness and advantage of the proposed ILC strategy.</p
Application of Artificial Intelligence by Poland’s Public Administration. METADATA
No full textThis metadata provides information related to the publication "Application of Artificial Intelligence by Poland’s Public Administration" (https://doi.org/10.4337/9781802207347.00017), published in the book "Research Handbook on Public Management and Artificial Intelligence" (119-137)The fieldwork for preparing this paper was designed ad hoc by cherry-picking profiles of participants in a public contest organised by GovTech Polska. The goal is to understand the development of a Polish ecosystem on AI and which types of AI were promoted/developed.The file contains the following information: - Interviewee information: Excel table including information about the profiles of the different interviewees involved in the research: Identification, Date of the interview, Length of the interview- Interview guide: Guide used in the interviews, including information about the company/start-up, information about their participation in national contests, information of who was benefiting from their innovations, motivations to engage in the contest, project submitted to the competition, role of state agencies in the innovation process and a general evaluation of the overall process. </p
The Effect of Copper Nanoparticles on Liver Metabolism Depends on the Type of Dietary Fiber
No full textBackground/Objectives: A diet enriched with copper nanoparticles (CuNPs) exhibits a wide range of effects on liver metabolism, both positive and negative. Dietary fibers are the key components that may affect the absorption of minerals, including copper, and change their impact on organisms. Methods: Therefore, this study investigated whether and how supplementation with different sources of dietary fiber (cellulose, pectin, inulin, and psyllium) affects the function of CuNPs in the liver of male Wistar rats. Results: The results showed that CuNPs at different doses had varying effects on lipid metabolism and inflammation in the liver. Specifically, higher doses of CuNPs were associated with increased lipid accumulation and the activation of pro-inflammatory mechanisms. However, combining CuNPs with dietary fibers, such as psyllium and inulin, was beneficial in mitigating the effects of the examined nanoparticles, leading to reduced fat, cholesterol, and triglycerides in the liver. Combining psyllium with CuNPs showed the most substantial effect on liver metabolism and inflammation parameters. Furthermore, hepatic histology analyses showed that adding psyllium to the diet with CuNPs reduces changes associated with fat accumulation and mononuclear cell infiltration. The observed beneficial changes in the liver may have been related to a reduction in the gene expression level of sterol regulatory element-binding protein 1 and peroxisome proliferator-activated receptor gamma and cyclooxygenase-2. Conclusions: In conclusion, enriching the diet with dietary fibers such as psyllium can regulate the action of CuNPs, thereby improving lipid metabolism and reducing inflammation in the liver. </p
Data for publication "Atomistic understanding of enhanced selectivity in photocatalytic oxidation of benzyl alcohol to benzaldehyde using graphitic carbon nitride loaded with single copper atoms"
No full textThe dataset consists of experimental results obtained with spectroscopy, diffractometry, and synchrotron-based spectroscopies.</p
The gut microbial composition is different in Chronic Fatigue Syndrome than in healthy controls
No full textThe gut microbial composition is different in Chronic Fatigue Syndrome than in healthy controls</p
Digitally available legal sources for the publication language rights of newcomers and Indigenous peoples in the African and European contexts
No full textThis dataset accompanies the publication Language Rights of Newcomers and Indigenous Peoples in the African and European Contexts (DOI: 10.21697/2024.13.2.05) and provides a structured overview of digitally accessible legal sources cited or referenced in the article.The dataset is provided in OpenDocument Spreadsheet (ODS) format. The table includes the following columns:# – Entry number for referenceInstitution/State – Name of the institution or country that issued the documentDocument Name – Title or short description of the legal sourceDocument ID* – Identifier according to the classification system of the source (e.g., digital library or legal database)URL – Direct link to the official digital version of the documentDate of URL Verification – The date when the link was last accessed and confirmed to be working</p
PLOSOne - Study protocol: The role of milk matrix lipids in programming the immunoreactivity of proteins derived from lactic acid bacteria
No full textThe data includes consents from ethical committees and applications submitted to reviewing bodies.</p
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