Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating Marital Relationship in Infertility: A Systematic Review of Quantitative Studies

Background Infertility is a complex issue that affects individuals and groups, and also it has serious implications for the mental and social well-being of those involved. The aim of this review was to assess marital relationship in the context of infertility, using data from infertile individuals or both couples. Methods A literature search was undertaken using multiple databases (Medline, PsycInfo and Scopus) to identify and synthesize all relevant literature published from 1990 to 2011. All studies in the systematic review were confirmed using specific inclusion criteria; the methodological quality of these studies were examined according to a checklist. Results Of the potential 794 articles, 18 studies were included in the final analysis, of which 6 were graded as high quality and 12 as moderate. The results indicated male factor infertility did not have a negative marital impact. In addition, infertile male participants expressed higher marital satisfaction than their wives. Infertile females had significantly less stable marital relationship compared to fertile females, which was associated with their socio-demographics and treatment experience. For infertile couples, the infertile subjects or their partners’ marital relationship was affected by either member's infertility, experience specifically coping strategies. Moreover other factors such as sexual satisfaction, age of the infertile couples, education level, and congruency of couples’ perceptions of infertility were associated with the quality of martial relationship. Conclusion Although the review can provide an outline of marital relationship in infertility, future studies should focus on the perspective from both infertile couple, across a range of different infertility types, including extended sample sizes and longitudinal study designs. In addition, more consideration should be given to qualitative study.
Helminth Infestation Causing Anaemia in Pregnancy Attending Primary Care Clinic: A Case Report

Anaemia in pregnancy is among the commonest medical disorders encountered antenatally. However, the condition has sometimes been overlooked and not corrected accordingly given wrong or unidentified exact causes. Helminth infestation, even though rare generally nowadays, is still an important cause that needs to be ruled out in case of anaemia. We reported a case of an antenatal woman who presented with unresolved anaemia. However, she benefited from the helminth infestation screening and was able to be treated well. Her condition tremendously improved after the eradication of the infection. This case highlighted that anaemia should always include stool for ova and cyst despite no convincing history towards the infection. The symptoms could be mild or even not recognised.
Tenure structure and perceived social disorder in post-WWII suburban housing estates: A multi-level study with a representative sample of estates

Studies on post-World War II housing estates have largely focused on problematic neighbourhoods, and there is a scarcity of literature on housing estates across their entire social scale. Moreover, there is insufficient evidence on the extent to which tenure structure differentiates estates from each other in terms of social disorder. Using a large cluster sample of Finnish estates representing a wide variety of estate neighbourhoods, we examined the implications of tenure structure in terms of social disadvantage and perceived social disorder. We also studied how social interaction and normative regulation mediate the impact of structural estate characteristics. We found that rental domination is associated with social disadvantage, which exposes residents to social disorder, in line with social disorganisation theory. Differences in normative regulation partly explain this association. In contrast, social interaction in the neighbourhood is not associated with the level of perceived social disorder. The theoretical and practical implications of the results are discussed.
Decompositions of Modules and Comodules

It is well-known that any semiperfect A ring has a decomposition as a direct sum (product) of indecomposable subrings A = A1 ⊕ · · · ⊕ An such that the Ai-Mod are indecomposable module categories. Similarly any coalgebra C over a field can be written as a direct sum of indecomposable subcoalgebras C = ⊕ I Ci such that the categories of Ci-comodules are indecomposable. In this paper a decomposition theorem for closed subcategories of a module category is proved which implies both results mentioned above as special cases. Moreover it extends the decomposition of coalgebras over fields to coalgebras over noetherian (QF) rings.
Broadband circularly-polarized square slot antenna fed by coplanar waveguide

A novel circularly polarized slot antenna fed by coplanar waveguide (CPW) is presented in this paper. The proposed antenna consists of a square slot cut on the ground and a CPW feed line with a stepped impedance transformer. Two stubs are embedded in the CPW feed line to excite circular polarized wave while a slit is cut on the ground to enhance the impendence bandwidth. The measured impendence bandwidth ranges from 4.4 GHz to 7.9 GHz, with the AR bandwidth from 4.5 GHz to 7.5 GHz, which cover wlan (5.15~5.25,5.725~5.825), wimax (5.25~5.85) and Chinese Dedicated Short Range Communications (DSRC) for Electronic Toll Collection (ETC) systems.
LightGBM: A Leading Force in Breast Cancer Diagnosis Through Machine Learning and Image Processing

The early diagnosis of breast cancer (BC), a prominent global cause of mortality, necessitates the development of innovative diagnostic strategies. This study leverages machine learning (ML) and advanced image processing techniques to analyze histopathology images, thereby augmenting the capabilities for BC diagnosis. A robust feature extraction (FE) pipeline is developed, integrating techniques such as color histogram analysis, contour FE, hu moments, and haralick texture features. Ten ML algorithms, including LightGBM (LGBM), CatBoost, and XGBoost, are systematically evaluated across varying magnifications of the BreakHis dataset to assess their diagnostic performance. The research introduces a novel approach by combining distinct FE techniques, enhancing the model’s ability to distinguish between benign and malignant tissues with exceptional accuracy. These integrated techniques significantly elevate BC diagnostic accuracy and reliability, holding the potential to positively impact patient outcomes and healthcare systems. Notably, the combination of the FE pipeline and LGBM achieves the highest accuracy, reported in two forms: before augmentation accuracies (0.9598 for <inline-formula> <tex-math notation="LaTeX">$40 \times $ </tex-math></inline-formula>, 0.9516 for <inline-formula> <tex-math notation="LaTeX">$100 \times $ </tex-math></inline-formula>, 0.9652 for <inline-formula> <tex-math notation="LaTeX">$200 \times $ </tex-math></inline-formula>, 0.9535 for <inline-formula> <tex-math notation="LaTeX">$400 \times $ </tex-math></inline-formula>, and 0.9570 for all magnifications combined) and after augmentation accuracies (0.9949 for <inline-formula> <tex-math notation="LaTeX">$40 \times $ </tex-math></inline-formula>, 0.9870 for <inline-formula> <tex-math notation="LaTeX">$100 \times $ </tex-math></inline-formula>, 0.9987 for <inline-formula> <tex-math notation="LaTeX">$200 \times $ </tex-math></inline-formula>, and 0.9918 for <inline-formula> <tex-math notation="LaTeX">$400 \times $ </tex-math></inline-formula>) for the classification of magnification histopathological images. Moreover, the study highlights the crucial role of augmentation in further refining classification accuracy. Extending its applicability, the proposed method is also successfully applied to the classification of lung colon cancer images (LC25000 dataset), achieving an impressive accuracy of 0.9983. The model demonstrates its effectiveness and adaptability as a compelling method for histopathological image classification. This research contributes to the evolving field of BC diagnostics, offering a framework for robust and accurate ML-based diagnostic tools that may revolutionize cancer diagnosis and enhance patient care.
Automatic identification of informative sections of Web pages

Web pages - especially dynamically generated ones - contain several items that cannot be classified as the "primary content," e.g., navigation sidebars, advertisements, copyright notices, etc. Most clients and end-users search for the primary content, and largely do not seek the noninformative content. A tool that assists an end-user or application to search and process information from Web pages automatically, must separate the "primary content sections" from the other content sections. We call these sections as "Web page blocks" or just "blocks. " First, a tool must segment the Web pages into Web page blocks and, second, the tool must separate the primary content blocks from the noninformative content blocks. In this paper, we formally define Web page blocks and devise a new algorithm to partition an HTML page into constituent Web page blocks. We then propose four new algorithms, ContentExtractor, FeatureExtractor, K-FeatureExtractor, and L-Extractor. These algorithms identify primary content blocks by 1) looking for blocks that do not occur a large number of times across Web pages, by 2) looking for blocks with desired features, and by 3) using classifiers, trained with block-features, respectively. While operating on several thousand Web pages obtained from various Web sites, our algorithms outperform several existing algorithms with respect to runtime and/or accuracy. Furthermore, we show that a Web cache system that applies our algorithms to remove noninformative content blocks and to identify similar blocks across Web pages can achieve significant storage savings.
Real-time Gesture Controlled 3D Animation

Special pyrazole derivatives corresponding to the general formula I which have a highly selective action on histamine-H2 receptors are described. Compared with other drugs known to be effective in their action on histamine-H2 receptors, these compounds have improved pharmacological properties. A method of preparation of these compounds is also described.
Are Tourists Willing to Pay for Aesthetic Quality? An Empirical Assessment from Krabi Province, Thailand

This paper assesses the relationships between the viability of the tourism industry and willingness to pay for aesthetic aspects of environmental quality. Incentives to provide high-quality tourism are limited given asymmetric information, adverse selection and positive search costs, with implications both for the sustainability of the tourism industry and for environmental sustainability more broadly defined. An econometric model is estimated in which willingness to pay is captured using resort rents and related to aesthetic quality, after controlling for service levels. A negative relationship is found. Some policy issues are assessed, focusing on the implications for tourism as an engine for sustainable development.
Performance of mismatched polar codes over BSCs

A challenging problem related to the design of polar codes is “robustness against channel parameter variations”, as stated in Arıkan's original work. In this paper, we show that mismatched polar codes with a decoder implementation based on an approximation of the polarization transformations proposed in [3] are robust for the class of binary symmetric channels. We carry numerical simulations for the average error performance which show the rate loss incurred by the approximation is rather negligible. Combining the theoretical and experimental analysis, we conclude that mismatched polar codes can achieve rates very close to the true channel capacity for the class of binary symmetric channels.
System accuracy evaluation of 27 blood glucose monitoring systems according to DIN EN ISO 15197.

BACKGROUND Blood glucose (BG) monitoring systems enable diabetes patients to effectively control and adjust their therapy. BG monitoring systems with a Conformité Européenne (CE) label should meet the standard DIN EN ISO 15197:2003: > or =95% of the BG results shall fall within +/-15 mg/dL of the reference method at BG concentrations <75 mg/dL and within +/-20% at BG concentrations > or =75 mg/dL. We intended to verify if BG monitoring systems with a CE label fulfill these minimum accuracy requirements. METHODS We evaluated 27 BG monitoring systems from 18 manufacturers for system accuracy according to DIN EN ISO 15197:2003. Twenty-four systems were compared with the glucose oxidase reaction (YSI 2300 glucose analyzer [YSI Life Sciences, Yellow Springs, OH]) and three systems with the hexokinase reaction (Hitachi 917 [Roche Diagnostics GmbH, Mannheim, Germany]). Duplicate measurements of 100 blood samples with a defined distribution of BG concentrations from 20 mg/dL to 600 mg/dL from > or =100 subjects were included in the evaluation. RESULTS Sixteen of the 27 BG monitoring systems fulfilled the minimum accuracy requirements of the standard, i.e., > or =95% of their results showed the minimum acceptable accuracy. Overall, the mean percentage of results showing the minimum acceptable accuracy was 95.2 +/- 5.2%, ranging from 80.0% to 100.0%. CONCLUSIONS More than 40% of the evaluated BG monitoring systems did not fulfill the minimum accuracy requirements of DIN EN ISO 15197:2003. As inaccurate BG monitoring systems bear the risk of false treatment decisions by the diabetes patient and subsequent possible severe health injury, manufacturers should regularly and effectively check the quality of BG meters and BG test strips.
Operator Representation of Fermi-Dirac and Bose-Einstein Integral Functions with Applications

Fermi-Dirac and Bose-Einstein functions arise as quantum statistical distributions. The Riemann zeta function and its extension, the polylogarithm function, arise in the theory of numbers. Though it might not have been expected, these two sets of functions belong to a wider class of functions whose members have operator representations. In particular, we show that the Fermi-Dirac and Bose-Einstein integral functions are expressible as operator representations in terms of themselves. Simpler derivations of previously known results of these functions are obtained by their operator representations.
Recombinant human platelet-activating factor acetylhydrolase for treatment of severe sepsis: Results of a phase III, multicenter, randomized, double-blind, placebo-controlled, clinical trial*

ObjectivePlatelet-activating factor (PAF) and structurally-related oxidized phospholipids are proinflammatory mediators in systemic inflammatory states such as severe sepsis. The enzyme platelet-activating factor acetylhydrolase (PAF-AH) rapidly degrades PAF and oxidized phospholipids into inactive metabolites. Reduced PAF-AH activity has been observed in patients with severe sepsis and may contribute to their systemic inflammatory response and organ dysfunction. A previous clinical trial with recombinant human PAF-AH (rPAF-AH, Pafase) suggested that this treatment may decrease 28-day all-cause mortality in patients with severe sepsis. The current study was undertaken to confirm this result. DesignA prospective, randomized, double-blind, placebo-controlled, multicenter, international trial. SettingOne hundred forty-six intensive care units from nine countries. PatientsApproximately 2,522 patients were planned to be enrolled ≤12 hrs after the onset of severe sepsis. Eligible patients were randomized to receive either rPAF-AH 1.0 mg/kg or placebo administered intravenously once daily for five consecutive days. Measurements and Main ResultsThe study was terminated based on the recommendation of an independent data and safety monitoring committee after the second of three planned interim analyses, and the enrollment of 1,425 patients. rPAF-AH treatment was well tolerated among the 1,261 patients included in the interim analysis (643 rPAF-AH and 618 placebo), but did not decrease 28-day all-cause mortality compared with placebo (25% for rPAF-AH vs. 24% for placebo; relative risk, 1.03; 95% confidence interval, 0.85–1.25; p = .80). There were no statistically significant differences between treatment groups in any of the secondary efficacy end points. The overall incidence of adverse events was similar among rPAF-AH and placebo-treated patients, and no rPAF-AH-treated patients developed antibodies to PAF-AH. ConclusionsrPAF-AH was well tolerated and not antigenic, but did not decrease 28-day all-cause mortality in patients with severe sepsis.
Optimization of a Compiler from PDDL to Picat (Short Paper)

Picat is a new constraint logic programming language that has obtained promising results in international competitions. These results have been achieved thanks to several features. The most effective of them is an efficient handling of a tabling technique applied to search algorithms. A compiler from PDDL to Picat, which automatically enables to run PDDL models in Picat, has been recently developed. This paper describes a method which automatically optimizes the output of such a compiler, using a different representation of the states that better takes advantage of Picat’s Tabling technique.
P(II) signal transduction proteins: nitrogen regulation and beyond.

The P(II) proteins are one of the most widely distributed families of signal transduction proteins in nature. They are pivotal players in the control of nitrogen metabolism in bacteria and archaea, and are also found in the plastids of plants. Quite remarkably, P(II) proteins control the activities of a diverse range of enzymes, transcription factors and membrane transport proteins, and in recent years the extent of these interactions has been recognized to be much greater than heretofore described. Major advances have been made in structural studies of P(II) proteins, including the solution of the first structures of P(II) proteins complexed with their targets. We have also begun to gain insights into how the key effector molecules, 2-oxoglutarate and ATP/ADP, influence the activities of P(II) proteins. In this review, we have set out to summarize our current understanding of P(II) biology and to consider where future studies of these extraordinarily adaptable proteins might lead us.
Effects of dietary amino acid level and duration of finisher period on performance and carcass content of broilers forty-nine days of age.

Two studies were conducted to evaluate feeding reduced levels of amino acids (AA) to broilers during the finisher period. Birds grown to 42 days on nutritionally complete diets were fed diets formulated to contain a minimum of 70, 80, 90, 100, or 110% of recommended AA levels for periods of 3, 5, or 7 days prior to slaughter at 49 days of age. Body weight, feed intake, feed utilization, dressing percentage, and abdominal fat content were determined. For finisher periods of 3 to 5 days, a reduction in recommended dietary AA levels may be utilized without impairment of body weight gains of broilers. Extending the finisher period to 7 days resulted in significant (P less than .05) reduction of body weight gains on diets with AA levels less than 90% of recommended levels. Feed utilization was more sensitive to reduction in AA levels and may be affected adversely even by a 5-day withdrawal period. Dressing percentage was reduced in some instances, and abdominal fat generally increased when reduced AA levels were fed. The economics of feeding reduced AA levels must be considered in evaluating the results of the present studies.
Data Preprocessing in Knowledge Discovery with Fuzzy-evolutionary Algorithms

Databases in the real world are often dynamic, incomplete , noisy, imprecise and very large and most of the problems which appear in the data mining step within the knowledge discovery process are due to an inadequate preprocessing of the data present in these databases. The use of techniques that can cope with the imprecision present in the data, represent a new approach which has been successful in dealing with problems of imprecise and uncertain knowledge in the context of complex systems. In this paper an hybrid learning systems, that combines fuzzy-evolutionary techniques in order to nd useful features or variables to represent the data as a preprocessing step, is being investigated .
The role of ecosystem services in climate and air quality in urban areas: Evaluating carbon sequestration and air pollution removal by street and park trees in Szeged (Hungary)

Abstract The evaluation of ecosystem services can provide essential help in incorporatating the multifunctionality of urban ecosystems in planning and management processes. Two important regulating services of urban trees, carbon sequestration and air pollution removal, are evaluated in this article for different types of tree stands (streets, parks) in the city centre of Szeged (Hungary). The necessary calculations were carried out by an adaptation of the targeted model (i-Tree Eco), based on a large complete tree inventory dataset. The analyses revealed the main tendencies in differences between tree species considering the tree condition, which affects the service-providing capacity to a high degree. The effects of differences in tree management on the chosen ecosystem services were investigated by comparing two pairs of tree alleys. Based on our observations, clear cuts and complete tree alley changes are not advisable from an ecosystem service point of view.
Size Control of Biomimetic Curved-Edge Vaterite with Chiral Toroid Morphology via Sonochemical Synthesis

The metastable vaterite polymorph of calcium carbonate (CaCO3) holds significant practical importance, particularly in regenerative medicine, drug delivery, and various personal care products. Controlling the size and morphology of vaterite particles is crucial for biomedical applications. This study explored the synergistic effect of ultrasonic (US) irradiation and acidic amino acids on CaCO3 synthesis, specifically the size, dispersity, and crystallographic phase of curved-edge vaterite with chiral toroids (chiral-curved vaterite). We employed 40 kHz US irradiation and introduced L- or D-aspartic acid as an additive for the formation of spheroidal chiral-curved vaterite in an aqueous solution of CaCl2 and Na2CO3 at 20 ± 1 °C. Chiral-curved vaterites precipitated through mechanical stirring (without US irradiation) exhibited a particle size of approximately 15 μm, whereas those formed under US irradiation were approximately 6 μm in size and retained their chiral topoid morphology. When a fluorescent dye was used for the analysis of loading efficiency, the size-reduced vaterites with chiral morphology, produced through US irradiation, exhibited a larger loading efficiency than the vaterites produced without US irradiation. These results hold significant value for the preparation of biomimetic chiral-curved CaCO3, specifically size-reduced vaterites, as versatile biomaterials for material filling, drug delivery, and bone regeneration.
Assessment and Management of Existing Direct Restorations with a Minimal Invasive Approach in Older Population

We have an increasing older population with a reduced number of edentulism. This has led to an increased number of patients with complex restorations. Any failing restoration will require assessment and management, whilst considering their health conditions. The minimal intervention dentistry and operative procedures will help a general dental practitioner to provide ethical and least-invasive dentistry to the older population. It helps to avoid unnecessary tooth destruction and damage to dentine–pulp complex. It prevents iatrogenic damage to adjacent teeth and soft tissues. Minimal intervention dentistry reduces costs for the older population. Clinical Relevance: The growing older population along with the rising restorative challenges of heavily restored dentition, occlusion, salivary dysfunction, disruptive behaviours, poor dexterity, poor compliance, high plaque levels, and financial constraints, if inevitable the operative procedure needs to be minimal to preserve tooth structure.