Miracle-dz/UniFAR-FTUs huggingface dataset:
Recenzja książki. Adrianna Surmiak (2022), Etyka badań jakościowych w praktyce. Analiza doświadczeń badaczy w badaniach z osobami podatnymi na zranienie, Warszawa: Wydawnictwo Naukowe Scholar

Dorota Rancew-Sikora Pracuje w Instytucie Socjologii na Uniwersytecie Gdańskim. Realizuje badania, używając metod badań jakościowych: analizy konwersacyjnej, analizy dyskursu i analiz kulturowych. Opublikowała trzy książki autorskie: Analiza konwersacyjna jako metoda badania rozmów codziennych (2007), Sens polowania (2009) i Gościnność – rozstanie z ideałem (2021), sześć pod redakcją naukową oraz artykuły, m.in. w „Studiach Socjologicznych”, „Kulturze i Społeczeństwie”, „Przeglądzie Socjologii Jakościowej”, „Discourse Studies”, „Journal of Pragmatics” i „Sociological Research Online”. Jej ostatnie prace dotyczą gościnności oraz relacji i rytuałów rodzinnych. e-mail: dorota.rancew-sikora@ug.edu. pl
Dietary Influence on Nutritional Epidemiology, Public Health and Our Lifestyle

This Special Issue of Nutrients "Dietary Influence on Nutritional Epidemiology, Public Health and Our Lifestyle", includes nine original articles and one systematic review related to the associations between some dietary patterns, lifestyle, and socio-demographic factors, analyzed either separately or in combination, with the risk and management of cardiovascular diseases and mental health problems, such as depression and dementia [. ].
Adverse Effects Associated with Long-Term Use of Proton Pump Inhibitors

Proton Pump Inhibitors are used widely to manage many gastric acid-related conditions such as gastroesophageal disease, gastritis, esophagitis, Barrett’s esophagus, Zollinger-Ellison syndrome, peptic ulcer disease, nonsteroidal anti-inflammatory drug-associated ulcers, and Helicobacter pylori eradication, around the globe. This review article focuses on adverse effects associated with the long-term use of proton pump inhibitors. Various observational studies, clinical trials, and meta-analyses have established the adverse effects associated with the long-term use of proton pump inhibitors including renal disorders (acute interstitial nephritis, acute kidney injury, chronic kidney disease, and end-stage renal disease), cardiovascular risks (major adverse cardiovascular events, myocardial infarction, stent thrombosis, and stroke), fractures, infections (Clostridium difficile infection, community-acquired pneumonia, and Coronavirus disease 2019), micronutrient deficiencies (hypomagnesemia, anemia, vitamin B12 deficiency, hypocalcemia, hypokalemia), hypergastrinemia, cancers (gastric cancer, pancreatic cancer, colorectal cancer, hepatic cancer), hepatic encephalopathy, and dementia. Clinicians including prescribers and pharmacists should be aware of the adverse effects of taking proton pump inhibitors for an extended period of time. In addition, the patients taking proton pump inhibitors for long-term should be monitored for the listed adverse effects. The American Gastroenterological association recommends a few non-pharmacological measures and the use of histamine 2 blockers to lessen gastrointestinal symptoms of gastroesophageal reflex disease and the utilization of proton pump inhibitors treatment if there is a definitive indication. Additionally, the American Gastroenterological association’s Best Practice Advice statements emphasize deprescribing when there is no clear indication for proton pump inhibitors therapy.
Our MapAI approach: focusing on data pipeline and loss functions

Precision building detection is a difficult challenge because resolution, lighting conditions, and image quality greatly influence the performance of machine learning models. Additionally, the building types, settlement structure, road structure, soil color and texture, vegetation, and car types can also affect image segmentation, making the solutions local or regional. In this paper, we describe the solution for the MapAI challenge submitted by the ATELIER team. We focused on two primary parts: data processing and loss functions. Our main insights were that the data can be effectively resampled by exploiting its structure and that the boundary intersection over union metric is very forgiving, not giving the network enough incentive to refine the borders. The segmentation was performed with a standard 5-level deep U-Net with an additional conditional random fields (CRF) denoiser.
The Clinical Application of Bispecific Antibodies in Cancer Treatment

Bispecific antibody (bsAb) is a type of human-modified antibody which two or more sites are capable of binding two or more individual antigens. This dual specificity enables bsAbs to have superior application than the monoclonal antibodies as they can eliminate tumour cells via recruiting T cells and also the accessory immune cells in some cases, as well as can simultaneously block two different signalling pathways or different disease mediator. More than 30 technologies have been applied for the development of bsAbs based on heavy chains and light chains heterologous recombination. However, only three bsAbs have been approved and available on the market, whereas over 110 BsAbs are at different clinical or research stages. In this paper, different types of bsAbs will be elaborated as well as the clinical significance of the approved bsAbs.
The Single Midline Implant in the Edentulous Mandible—Current Status of Clinical Trials

The single midline implant in the edentulous mandible is a treatment concept that has often been controversially discussed. Nearly 30 years ago, the first available clinical results revealed high implant survival rates and remarkable improvements in oral comfort, function, patient satisfaction and oral health-related quality of life for edentulous patients compared to the situation with no implant. However, the clinical trials were predominantly conducted with a small number of patients over a short to medium follow-up period. Today, numerous clinical investigations on the single midline implant in the edentulous mandible, which increasingly include longer-term observation periods, are available. It is the aim of this overview to present the current literature and to highlight the clinical problems. This article is a 2023 update of a review published by the authors in the German language in 2021 in the German journal Implantologie. In total, 19 prospective clinical trials with a follow-up period of 0.5–10 years were analyzed. Over this observation period, single implants with modern rough implant surfaces in the edentulous mandible reveal high implant survival rates of between 90.9 and 100% when a conventional delayed loading protocol was applied.
Does Corporate Social Responsibility Moderate the Nexus of Organizational Culture and Job Satisfaction?

Corporate social responsibility (CSR) is necessary in today’s organizations because they must balance profitability with the development of a positive reputation through environmental and social responsibilities. Therefore, the purpose of this research is to discover how organizational culture (OC) and corporate social responsibility (CSR) relate to job satisfaction (JS), as well as how CSR moderates their interaction. The research data were collected from 463 respondents of SME organizations in Saudi Arabia using an online survey questionnaire (and few by in-person survey) to determine the impact of hypothesized relations. The data were analyzed using SPSS 26.0 and AMOS to test the study hypotheses. The results indicated that corporate social responsibility moderated the relationship between OC and JS and improved employee’s job satisfaction. Among the hypothesized relationships of the variables, OC indicated a mediocre effect on JS, while CSR was found to have low influence on JS. However, the study revealed significant impact among the variables, thereby supporting all three hypotheses of the study. As the study only attempted to understand the associations among three variables, it lacks to explain the role of other potentially important factors such as business success, organizational structure, leadership style, and firm size. The only stakeholders considered by the study was the employees, which is considered a major limitation of this study. Further researchers may also consider the role of other primary stakeholders on CSR activities, who are vital in improving employee JS. The study’s findings have some practical implications for managers who seek to create contented personnel and prioritized CSR efforts.
Machine-Learning-Based Radiomics for Classifying Glioma Grade from Magnetic Resonance Images of the Brain

Grading of gliomas is a piece of critical information related to prognosis and survival. Classifying glioma grade by semantic radiological features is subjective, requires multiple MRI sequences, is quite complex and clinically demanding, and can very often result in erroneous radiological diagnosis. We used a radiomics approach with machine learning classifiers to determine the grade of gliomas. Eighty-three patients with histopathologically proven gliomas underwent MRI of the brain. Whenever available, immunohistochemistry was additionally used to augment the histopathological diagnosis. Segmentation was performed manually on the T2W MR sequence using the TexRad texture analysis softwareTM, Version 3.10. Forty-two radiomics features, which included first-order features and shape features, were derived and compared between high-grade and low-grade gliomas. Features were selected by recursive feature elimination using a random forest algorithm method. The classification performance of the models was measured using accuracy, precision, recall, f1 score, and area under the curve (AUC) of the receiver operating characteristic curve. A 10-fold cross-validation was adopted to separate the training and the test data. The selected features were used to build five classifier models: support vector machine, random forest, gradient boost, naive Bayes, and AdaBoost classifiers. The random forest model performed the best, achieving an AUC of 0.81, an accuracy of 0.83, f1 score of 0.88, a recall of 0.93, and a precision of 0.85 for the test cohort. The results suggest that machine-learning-based radiomics features extracted from multiparametric MRI images can provide a non-invasive method for predicting glioma grades preoperatively. In the present study, we extracted the radiomics features from a single cross-sectional image of the T2W MRI sequence and utilized these features to build a fairly robust model to classify low-grade gliomas from high-grade gliomas (grade 4 gliomas).
Practical stopping rule for iterative image restoration

Iterative techniques for image restoration are flexible and easy to implement. The major drawback of iterative image restoration is that the algorithms are often slow in converging to a solution, and the convergence point is not always the best estimate of the original image. Ideally, the restoration process should stop when the restored image is as close to the original image as possible. Unfortunately, the original image is unknown, and therefore no explicit fidelity criterion can be computed. The generalized cross-validation (GCV) criterion performs well as a regularization parameter estimator, and stopping an iterative restoration algorithm before convergence can be viewed as a form of regularization. Therefore, we have applied GCV to the problem of determining the optimal stopping point in iterative restoration. Unfortunately, evaluation of the GCV criterion is computationally expensive. Thus, we use a computationally efficient estimate of the GCV criterion after each iteration as a measure of the progress of the restoration. Our experiments indicate that this estimate of the GCV criterion works well as a stopping rule for iterative image restoration.
Factors Generating the Willingness of Romanian Consumers to Buy Raw Milk from Vending Machines

The use of automatic raw milk dispensers for products obtained from Romanian farms can represent an effective method of encouraging the development of short supply chains and promoting sustainable production and consumption systems. There are very few studies in the literature, especially in emerging economies, that analyze consumer perception regarding the use of raw milk dispensers; most of the research is focused on technical aspects regarding how such machines function and food safety, and less on consumers’ perceptions towards them or consumer satisfaction, loyalty, or intention to use them. Therefore, the objective of this research was to investigate the willingness of Romanian consumers to buy raw milk from vending machines. In this regard, the authors drew a conceptual model to assess the factors that trigger willingness to buy raw milk from vending machines and then implemented a quantitative-based survey among Romanian consumers who buy raw milk from vending machines. The data were analyzed by modeling structural equations with SmartPLS. The results reveal that the generation of consumer willingness to buy raw milk from vending machines depends on how consumers perceive raw milk but also on the product safety, reusability of the milk bottle, and the provenance of the raw milk, as well as the nutritional qualities of the unprocessed raw milk. The paper extends previous studies based on the stimulus–organism–response (SOR) and deepens the understanding of consumers’ perception towards raw milk dispensers. Furthermore, the results also highlight possible managerial strategies that aim to improve the understanding of consumers.
The Confinement Effects on Jet Kinetic Momentum Flux Quantified by Measuring the Reaction Force

Abstract A turbulent jet is the most important flow element in mechanical ventilation. Mixing ventilation is based on the properties of turbulent jets. By entrainment into the jet the ambient air is set into motion. For a jet supplied within a room the enclosure may affect the jet in several ways, through: Coanda effect which is the tendency of a fluid to be attracted to a nearby surface. A free jet is turned into a wall jet and the momentum flux of the jet decreases by friction against the room surfaces. The jet collides with the opposing wall and the jet is transformed into a wall jet. The size of the cross sectional area relative to the supply opening will affect the flow pattern within the enclosure. One can expect the direction of the inflow (entrainment) to the jet to be affected. Location of supply and extract. The location of the supply is a factor that influences the pressure gradient within the room. This paper considers the items b), c) and d). The main characteristic of a jet is its momentum flux, but determining the momentum flux is not an easy task and has lead to contradicting results. Standard methods require velocity field measurements which have their restrictions and uncertainties. To overcome these problems a direct and more reliable method was used by recording the flow force, caused by an impinging jet, with a digital balance. The tests were carried out both for unenclosed (free jet) and enclosed cases. In the latter case tests were conducted with supply and extract both located on the same wall and located on opposite walls. Detailed pressure measurements were conducted to describe the details of the reaction force. There was a clear effect of the confinement on the reaction force and a Reynolds number dependence.
Deep Sequencing and Molecular Characterisation of BK Virus and JC Virus WHO International Reference Materials for Clinical Diagnostic Use

Background: Reactivation of JC and BK polyomaviruses during immunosuppression can lead to adverse clinical outcomes. In renal transplant recipients, BKV-associated nephropathy can result in graft loss, while in patients with autoimmune disorders, prolonged immunomodulatory drug use can cause rare onset of progressive multifocal leukoencephalopathy due to JCV reactivation. In such patients, accurate BK and JC viral load determinations by molecular technologies are important for diagnosis and clinical management; however, comparability across centres requires effective standardisation of diagnostic molecular detection systems. In October 2015, the WHO Expert Committee for Biological Standardisation (ECBS) established the 1st WHO International Standards (ISs) for use as primary-order calibrants for BKV and JCV nucleic acid detection. Two multi-centre collaborative studies confirmed their utility in harmonising agreement across the wide range of BKV and JCV assays, respectively. Previous Illumina-based deep sequence analysis of these standards, however, identified deletions in different regions, including the large T-antigen coding region. Hence, further detailed characterization was warranted. Methods: Comprehensive sequence characterisation of each preparation using short- and long-read next-generation sequencing technologies was performed with additional corroborative independent digital PCR (dPCR) determinations. Potential error rates associated with long-read sequencing were minimised by applying rolling circle amplification (RCA) protocols for viral DNA (circular dsDNA), generating a full validation of sequence identity and composition and delineating the integrity of full-length BK and JC genomes. Results: The analysed genomes displayed subpopulations frequently characterised by complex gene re-arrangements, duplications and deletions. Conclusions: Despite the recognition of such polymorphisms using high-resolution sequencing methodologies, the ability of these reference materials to act to enhance assay harmonisation did not appear significantly impacted, based on data generated by the 2015 WHO collaborative studies, but highlights cautionary aspects of IS generation and commutability for clinical molecular diagnostic application.
A Critical Review of Sickle Cell Disease Burden and Challenges in Sub-Saharan Africa

Abstract Sickle cell disease is caused by an abnormality of the β-globin gene and is characterised by sickling of the red blood cells. Globally, sub-Saharan African countries share the highest burden of the disease. This study aimed at critically reviewing studies focusing on challenges of sickle cell anaemia in sub-Saharan Africa. A literature search was carried out in five major databases. Articles that met the inclusion criteria were included in the bibliometric review and critical analysis. A majority of the studies were undertaken in the West African region (85.5%), followed by Central Africa (9.1%). Very few studies had been undertaken in East Africa (3.6%), whilst the Southern African region had the fewest studies (1.8%). Distribution in relation to country revealed that three quarters of the studies were carried out in Nigeria (74.5%), followed by the Democratic Republic of the Congo (9.1%). According to healthcare settings, a strong majority of the studies were undertaken in tertiary health care facilities (92.7%). Major themes that emerged from the review include interventions, cost of treatment, and knowledge about sickle cell disease. Public health awareness and promotion as well as improving the quality of sickle cell centers for prompt management of patients with sickle cell disorder was identified as a critical strategy towards reducing the burden of the disease in sub-Saharan Africa. To achieve this, governments in countries located in this region need to adopt a proactive strategy in addressing gaps that have been identified in this study, as well as instituting other relevant measures, such as continuous media engagement and public health interventions relating to genetic counselling. Reforms in other areas that can help reduce the disease burden, include training of practitioners and equipping sickle cell disease treatment centers according to World Health Organization specifications.
Human Recognization Activity and Maximum Motion Representation in Surveillance Video

Recognizing human actions in the real-world environment finds vital applications, Hence, machine vision studies in this field become crucial. This research aims to extract human activity from video sequences. The number of activities are required for human action recognition, including the gathering of visual data, the identification and presentation of robust features, and the training of classifiers with strong discriminative abilities. The action recognition method employed in this research is based on maximal motion identification. The Region of Interest (ROI) difference picture is utilized to extract motion information, and the Block Based Motion Intensity Code (BBMIC) is extracted as a feature. The Weizmann action dataset, which includes 10 actions (including "walk," "run," "jump," "side," "bend," "wave1," "wave2," "pjump," "jack," and "skip"), was used in the trials. A variety of the tree-based classifiers, including Random-Tree, the Random-Forest, and the Decision-Tree (J48), were also used. According to the experimental findings, this method uses the Weizmann dataset to recognize the activities with an overall quality rate of 94.20%. This is more effective than other tree-based algorithms. Performance of the suggested strategy is on par with that of well-established, established procedures.
Micropaleontological findings and absolute ages mark the termination of the Last Glacial Maximum in the Eastern Mediterranean Region: New electron spin resonance data from Gediz Delta (Western Turkey)

: Sediments and fossil content of Gediz Delta (Eastern Aegean Sea- İzmir) were examined from the samples collected from three drilling cores from the west (seaward) to east (landward) of the delta. Each drilling core contains Quarternary marine deposits with a marine fauna of foraminifers, bivalves, gastropods, echinoids, and ostracods at the bottom and Quaternary continental delta deposits at the top. According to our Electron Spin Resonance (ESR) age model marine sediments of the Aegean Sea started to cover the western Gediz Delta area before 19.9 ka (thousand years). Following the Last Glacial Maximum (LGM), after the transgression due to deglaciation occurred 15.3 ka ago, the coastline progressed 15–20 km eastward and covered the entire delta area. At the end of the LGM, as a result of the overflow of Manisa Gediz Lake depending on the deglaciation in Western Anatolia, and its flow from the Emiralem Strait to the İzmir Bay, the continental deposits reaching the West Gediz Delta region are younger than 11.4 ka.
Solar Geoengineering in the Polar Regions: A Review

Solar geoengineering refers to proposals, including stratospheric aerosol injection (SAI), to slow or reverse climate change by reflecting away incoming sunlight. The rapid changes ongoing in the Arctic and Antarctic, and the risk of exceeding tipping points in the cryosphere within decades, make limiting such changes a plausible objective of solar geoengineering. Here, we review the impacts of SAI on polar climate and cryosphere, including the dependence of these impacts on the latitude(s) of injection, and make recommendations for future research directions. SAI would cool the polar regions and reduce many changes in polar climate under future warming scenarios. Some under‐cooling of the polar regions relative to the global mean is expected under SAI without high latitude injection, due to latitudinal variation in insolation and CO2 forcing, the forcing dependence of the polar lapse rate feedback, and altered atmospheric dynamics. There are also potential limitations in the effectiveness of SAI to arrest changes in winter‐time polar climate and to prevent sea‐level rise from the Antarctic ice sheet. Finally, we also review the prospects for three other solar geoengineering proposals targeting the poles: marine cloud brightening, cirrus cloud thinning, and sea‐ice albedo modification. Sea‐ice albedo modification appears unlikely to be viable on pan‐Arctic or Antarctic scales. Whether marine cloud brightening or cirrus cloud thinning would be effective in the polar regions remains uncertain. Solar geoengineering is an increasingly prominent proposal and a robust understanding of its consequences in the polar regions is needed to inform climate policy in the coming decades.