Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing Indoor Air Quality and Sick Building Syndrome in Public University Buildings: A Cross-Sectional Study of Office Worker Health and Well-Being

Exposure to indoor air pollution among office workers can result in various health issues and increase the incidence of Sick Building Syndrome (SBS). The aim of the present study was to investigate the effect of exposure to Indoor Air Quality (IAQ) among office workers and the relationship with the prevalence of SBS at Universiti Kebangsaan Malaysia (UKM), Bangi. A cross-sectional comparison research involving 144 office workers from various new and old buildings was carried out at UKM, Bangi. Information was gathered and symptoms associated with SBS were determined using a series of questionnaires. During office hours, IAQ parameters were collected using air quality sensor. The old building had substantially higher levels of NO2 (24.26 ppb), CO (0.62 ppb), and PM10 (4.99 µg/m3) than the new building. It was found that, with a p < 0.001, the concentration of O3 in the new building (11.47 ppb) was significantly higher than in the old building (4.93 ppb). The study’s findings also showed that the difference in temperature between the old buildings (26°C) and new buildings (24°C) was statistically significant (p = 0.003). Referring to relative humidity (RH), the result of the old building is lower (56%) compared to the new building (62%). Although old buildings exhibited a higher prevalence of SBS (34.7%), it was found that there was no significant difference compared to new buildings (27.5%). According to the study’s findings, found that exposure to CO (χ2 = 5.242, p = 0.022), PM10 (χ2 = 13.449, p < 0.001), and PM2.5 (χ2 = 19.755, p < 0.001) among office workers with the prevalence of SBS has significant association. In conclusion, this study suggests that exposure to high levels of CO, PM10 and PM2.5 can increase the prevalence of SBS. Good housekeeping and regular maintenance of ventilation can keep good IAQ and reduce health effects among occupants.
Topic models with elements of neural networks: investigation of stability, coherence, and determining the optimal number of topics

Topic modeling is a widely used instrument for the analysis of large text collections. In the last few years, neural topic models and models with word embeddings have been proposed to increase the quality of topic solutions. However, these models were not extensively tested in terms of stability and interpretability. Moreover, the question of selecting the number of topics (a model parameter) remains a challenging task. We aim to partially fill this gap by testing four well-known and available to a wide range of users topic models such as the embedded topic model (ETM), Gaussian Softmax distribution model (GSM), Wasserstein autoencoders with Dirichlet prior (W-LDA), and Wasserstein autoencoders with Gaussian Mixture prior (WTM-GMM). We demonstrate that W-LDA, WTM-GMM, and GSM possess poor stability that complicates their application in practice. ETM model with additionally trained embeddings demonstrates high coherence and rather good stability for large datasets, but the question of the number of topics remains unsolved for this model. We also propose a new topic model based on granulated sampling with word embeddings (GLDAW), demonstrating the highest stability and good coherence compared to other considered models. Moreover, the optimal number of topics in a dataset can be determined for this model.
The relations between personality types and academic achievement: A comparative study of formal and distance education

The problem of this study is determined by using the psychological personality models and the background of numerous studies on various aspects of the educational achievements of students conducted based on different theoretical approaches. By examining the correlation of cognitive and personality traits and their individual-typical characteristics in the inseparable structure of individuality, and the correlation of these with the educational achievements of students in formal and distance education institutions, the purpose of the study is to examine the effects of personality types on students' academic achievement. Therefore, a correlation design has been employed in the study. The population of the study is composed of students studying in higher educational institutions in Turkey. The sample of the study, on the other hand, consists of students who receive face-to-face and online education. The data required for the study has been collected by sending survey forms via the Internet. Students from 46 different universities in Turkey participated in the study. To solve the determined tasks and check the initial assumptions, a series of pedagogical research methods were used by utilizing the SPSS program: theoretical analysis of psychological literature in terms of the problem being studied and testing by statistical methods. As a result of these analyses, it has been observed that academic achievement has relations with personality types and students’ success has increased in distance education.
Water Quality Status of Georgia Estuaries and Coastal Waters Using Recommended Indicators

Water quality is a concern in many estuaries, and the U.S. EPA has mandated the development of numeric nutrient criteria to assess the status of U.S. coastal waters. We have proposed a suite of seven indicators that are intended to help classify and understand the causes of water quality degradation in Georgia by covering the progression of eutrophication from nutrient over-enrichment to algal overgrowth (if present) to enhanced microbial respiration and hypoxia. Of these, we are able to assess four indicators coastwide using data collected by GA DNR CRD during 2003-2006. pH status was assessed using ΔpH, the deviation from the expected pH according to the sample salinity and estuary type (alluvial/tidewater, blackwater, alkaline blackwater). Annual median pH deviations were classified as good at almost all sites in all years, whereas annual minimum pH deviations often ranged into the fair and poor categories. pH status generally improved from 2004 to 2006. Annual median dissolved oxygen (DO) was mainly good to fair, while annual minimum DO was mainly fair to poor, with sites classified as poor occurring sporadically along the coast. DO status generally improved from 2003 to 2006. Annual median dissolved inorganic nitrogen status was mostly fair coastwide in all years, with the few sites classified as poor concentrated in the Altamaha River estuary. Annual median total dissolved phosphorus was fair coastwide during the study period. The generally poorer water quality in 2003 compared to later years may have been due to conditions related to high rainfall after a severe drought.
The effects of abiotic factors on plant health and biomechanics: a mesocosm study on potamogeton crispus

Interactions between flow and vegetation are widely investigated because vegetation is a primary factor controlling channel ecohydraulics, nearshore hydraulics and flood risk. Laboratory experiments are a critical tool in this research area and, to adequately represent the complexity of natural ecosystems, live plants, rather than artificial surrogates, are often used. In the present work, we expose a freshwater macrophyte (Potamogeton crispus) to a range of environmental conditions commonly found in ecohydraulic laboratories to investigate how these affect the level of plant health and associated variations in plant biomechanical properties. This is motivated by a need to understand how deterioration in live plants that are used in flume facilities affects their hydraulic performance and therefore the verisimilitude of the data they provide on flow interactions. Results show that short-medium term exposition to tap water or low irradiance levels is stressful for plants and can induce modifications in their biomechanics, with a potential effect on their hydrodynamic performance.
Complete mitogenome of the giant invasive hammerhead flatworm Bipalium kewense

Abstract We determined the sequence of the complete mitogenome of Bipalium kewense, an invasive land flatworm with worldwide distribution. All 37 genes encoded on this 15,666-bp genome reside on the same DNA strand. Phylogenomic analyses of mitochondrial proteins from taxa of the order Tricladida associated B. kewense with another invasive species of land planarians (Obama sp.).
Chinese Census 2000: New Opportunities and Challenges *

The voluminous data generated by China’s latest census have provided almost infinite opportunities for social scientists to study many aspects of the world’s largest population and to gain a fuller picture of China’s rapidly changing society. The articles in this special issue of The China Review represent a selection of works on demography, society and economy by some of the most active scholars in these fields, who have been quick to take advantage of this opportunity. Earlier versions of all the articles, with one exception, were presented in 2002 at one or both of the two international meetings held in Hong Kong and Seattle, both of which devoted substantial or exclusive attention to the Chinese Census 2000. 1 Individually and collectively, these articles present many exciting research findings based on this great resource. The works contained in this issue include the latest and most comprehensive estimates of the number of “truly missing girls” by Cai and Lavely; analysis of mortality by Li and Sun; of the urbanization trend by Chan and Hu; of the relationship between migration and unemployment by Cai and Wang; and of the latest elderly living arrangements by Zeng and Wang. Furthermore, Wang explores the possibilities of using the Census data to study housing inequality and related issues, while Yang’s research note compares the sectoral and occupational structures of migrants and locals in Wuhan. To set the context for reading the articles which follow, we will begin with the most fundamental part of a census, the population count.
Sustainable Concrete: Exploring Fresh, Mechanical, Durability, and Microstructural Properties with Recycled Fine Aggregates

The growing construction industry and global population have led to increased demand for concrete, resulting in increased waste production. Recycling construction and demolition (C&D) waste as recycled fine aggregates (RFA) in concrete could help reduce waste and conserve natural resources. This research delves into the meticulous examination of particle packing density within specific cylindrical volumes under standard compacting efforts, elucidating an order of compressive strength. The study comprehensively explores various concrete properties, including workability, compressive strength, flexural strength, split tensile strength, drying shrinkage, electrical resistivity, rapid chloride penetration, and microstructural characteristics (analyzed through XRD, SEM, and EDAX). RFA particles, ranging from 0.15 to 4.75 mm, were employed as partial replacements for fine aggregates, with replacement percentages varying from 0% to 100% in increments of 25%. The empirical findings underscore that the incorporation of RFA significantly enhances concrete properties. However, it was observed that surpassing the optimum replacement percentage of 25% (RFA 25) adversely impacts the concrete’s strength and microstructure. Specifically, RFA 25 exhibited remarkable improvements, with a 14.75% increase in compressive strength, a 6.61% boost in flexural strength, and a 13.14% enhancement in split tensile strength compared to conventional concrete (RC). Furthermore, RFA 25 demonstrated a 4.16% increment in drying shrinkage, 17.65% higher electrical resistivity, and an 18.83% superior resistance to chloride penetration compared to RC. The analysis of XRD, SEM, and EDAX results elucidated that at lower replacement percentages, the pozzolanic reaction enhances strength by forming additional hydration products. Conversely, at higher replacement levels, strength diminishes.
Die Carnivoren (Mammalia) aus dem Altpleistozan von Deutsch-Altenburg 2. Mit Beitragen zur Systematik einiger Musteliden und Caniden

2. Systematische Beschreibung 11 M ustela palerm inea (PETENYI) 11 M ustela praenivalis KORMOS 21 Psalidogale altenburgensis n. g. n. sp. 32 M artes cf. zibellina (L.) 35 Martes cf. vetus KRETZOI 36 V orm ela sp. 37 O xyvorm ela maisi RABEDER 38 Pannonictis ardea (BAVARD) 39 Pannonictis ? sp. 41 M eies hollitzeri n. sp. 43 Vulpes praeglacialis (KORMOS) 51 Vulpes praecorsac KORMOS 58 Canis cf. m osbachensis SOERGEL 62 Felis sp. 63
Exploring Children’s Online Summer Camp Adventures through Creativity and Problem Solving

Summer camps can help children continue to learn beyond school, build knowledge, keep their learning skills sharp, and help them prepare for the following school year. This paper presents participants’, facilitators’, and researchers’ experiences in a “Problem Solvers Camp” held in the Maker Lab at an Ontario University. A total of 12 junior students participated in a one-week summer camp, during which the participants developed plausible solutions for mathematical and instant problems using their creativity while learning some mathematical concepts. The creative learning spiral (CLS) model was adopted while designing the learning activities. Throughout the camp, children had the opportunity to work with virtual tech tools to design, create, and play to complete their challenges. Afterward, they shared their work for feedback and generated new ideas to promote their creative learning. The data were collected through observations, participants’ work, and their portfolios to highlight the campers’ experiences throughout the camp. On the last day of the camp, the researchers also ran focus group interviews. Data analysis showed that CLS might offer engaging environments that enhance children’s creative and reflective thinking skills to solve real-life problems. This study enabled children to engage in all stages of the CLS during problem solving, encouraging the exchange of ideas and opinions. The implementation of the CLS model also has the potential to inspire creativity and enhance learners’ fluency and elaboration skills, especially when complemented by technological or coding tools.
Serum levels of Nitric Oxide metabolites in relation to Body Mass Index and Arterial stiffness in young individuals

Introduction: Obesity is a multi-factorial disorder defined as abnormally high levels of body fat accumulation. It is a major emerging pandemic of this century which can be attributed to alterations in eating habits, lifestyle choices and rise in sedentary behaviour. The activation of pro-inflammatory signalling pathways linked to obesity can result in vascular endothelial dysfunction and changed levels of Nitric oxide (NO). Hyperlipidaemia may exacerbate arterial stiffness which is a precursor to atherosclerosis. In this study, we tried to evaluate the changes in levels of nitric oxide in obese individuals and its association with arterial stiffness. Objectives: To identify the association of serum levels of Nitric oxide metabolites with Body Mass Index (BMI) in apparently healthy subjects. To evaluate any correlation between serum nitric oxide metabolites, BMI and arterial stiffness in obese individuals. Result: The results showed a significant increase in systolic blood pressure (p<0.001) and no change in diastolic blood pressure and significant increase in pulse pressure(p<0.001) with increase in visceral adiposity (Waist Circumference) more than BMI. Results of Pearson correlation indicated that there is a significant small negative relationship between BMI and Serum NO levels, (r =- 0.534, p <.001). There was significant increase in Brachial ankle Pulse Wave Velocity (Ba PWV) (p=0.001) and Carotid Femoral Pulse Wave Velocity (CF PWV) (p=0.01) in obese subjects when compared to controls. Conclusion: Our study results showed that abdominal obesity more than overall obesity is more strongly associated with decreased serum NO levels and increased arterial stiffness. In obese individuals, increased arterial stiffness as reflected by increased pulse wave velocity may contribute to predicting cardiovascular disease in both genders in addition to development of hypertension.
DIFFUSION INNOVATION BEHAVIOR STUDENT IN WASTE MANAGEMENT SCHOOLS ON SMALL ISLANDS

This research aims to determine the diffusion of waste management program innovations in schools on Penyengat Island, Tanjungpinang City. This research uses descriptive qualitative methods. Based on the analysis results obtained in the field, it can be concluded that the results found using the Diffusion of Innovation theory by Everet M. Rogers with 4 elements, namely Innovation, Communication Channels, Time Period and Social System, show that the waste management program adoption process will run optimally. This shows that the spirit of intensive communication from the school community on Penyengat Island is enthusiastic about adopting the program due to the sense of ownership of the school, facilities and infrastructure that require development as well as the process of preparing administrative requirements which is slowly increasing with collaboration. More incentive assistance and communication is needed, especially by activating the role of committees at each school in forming the character of students.
Discharge Correlations for Spillways with Radial Gates

Equations used at the Tennessee Valley Authority (TVA) to compute free and gated (orifice) discharges through spillways with radial gates are presented along with correlations based on TVA model test data for discharge coefficients and submergence factors. The correlations and data may be applicable for estimating discharges through gated spillways that are similar to those at TVA and for which specific model test data are unavailable. Included in this paper, perhaps for the first time in the literature, are correlations and data indicating the headwater at which flow begins the transition from free discharge to gated discharge, the variation in the orifice discharge coefficient as headwater rises above the transition point, and the effect of tailwater submergence on gated discharge for given gate openings.
Generating Imperceptible and Cross-Resolution Remote Sensing Adversarial Examples Based on Implicit Neural Representations

Deep neural networks (DNNs) have been widely applied in remote sensing, and the research on its adversarial attack algorithm is the key to evaluating its robustness. Current adversarial attack methods primarily prioritize maximizing the attack success rate, disregarding the imperceptibility of the generated adversarial noise to human visual perception. Moreover, research on adversarial sample transferability has mostly focused on cross-model and cross-dataset scenarios, overlooking the investigation of adversarial attacks across different resolutions, while the rarely studied cross-resolution adversarial attacks are critical for remote sensing with different resolutions. In this article, we propose a novel method for generating imperceptible adversarial samples for cross-resolution remote sensing images based on implicit neural representations (INRs). By mapping the discrete images to a continuous neural functional space, we explicitly guarantee the visual quality of adversarial samples and decouple the model input from the image resolution. To enhance the visual fidelity of the generated adversarial samples, a multiscale discriminative learning scheme is proposed for the optimization process. For cross-resolution adversarial attacks, we align with images of different resolutions and generate cross-resolution adversarial perturbation by benefiting from the natural properties of the continuous resolution of INRs. To validate the effectiveness of our method, we compare it with the existing adversarial attacking methods using four evaluation metrics. Experiments show that our method achieves the best results in terms of attack success rate, imperceptibility, and cross-resolution attack transferability. Our code will be made publicly available.
Antipyretic potentials of ethanolic extract of Hilleria latifolia leaves in albino wistar rats

Hilleria latifolia is a medicinal plant widely used to treat feverish conditions, including malaria, in the southern parts of Nigeria especially among the Ibibios. This work was aimed at assessing the antipyretic activities of this plant in adult albino wistar rats. Pyrexia was induced using Brewer’s yeast, DAmphetamine and 2, 4-Dinitrophenol. Animals with increased temperature of 10C were selected and randomized into 6 groups of six animals per group. Various doses of extract (250 – 750mg/kg) were thereafter administered intraperitoneally. The standard drug used was Acetyl salicylic acid (100mg/kg p.o) while distilled water (10 ml/kg p.o) served as negative control. Rectal temperatures were obtained at 0.5hr and thereafter hourly for 5 hrs. Data obtained were analyzed using One-way ANOVA and TukeyKramer multiple comparison post-test using Graph Pad (Version 3.10). The result showed that the extract doseand time-dependently decreased rectal temperatures in the animals. This decrease was statistically significant (p< 0.05 – 0.001) compared to control. The result obtained with the highest dose (750 mg/kg) of the extract was comparable with that of the standard drug Acetyl salicylic acid. The antipyretic activity of the extract of Hilleria latifolia could be due to one or more active secondary metabolites present in it. These results depict that the extract of Hilleria latifolia possesses antipyretic properties which corroborates with the traditional use of the plant as a remedy in the treatment of febrile conditions.