Miracle-dz/UniFAR-FTUs huggingface dataset:
Sleep Quality and Its Affecting Factors among Hemodialysis Patients: A Multicenter Cross-Sectional Study

(1) Background: Sleep quality is one of the most important clinical outcomes of hemodialysis (HD) patients, as it can affect their physical and mental health. This study aimed to investigate sleep quality and its affecting factors among patients with HD. (2) Methods: A cross-sectional design was used to investigate the quality of sleep among HD patients in two cities in Saudi Arabia. The data were collected during the period from January to December 2022. A convenience sample of 250 HD patients was selected in this study. Data were collected using the Arabic version of the Pittsburgh Sleep Quality Index (PSQI). (3) Results: About two-thirds of participants (63.6%) had normal sleep, while one-third had poor sleep (36.4%). There was a significant relationship between the participants’ age and the quality of sleep, where participants who were aged more than 50 had poorer sleep than those who were younger (p < 0.001). Male and married participants significantly had poor sleep more than female and single participants (p = 0.011 and 0.015, respectively). In addition, participants who were retired, had a higher number of dependents, did not adhere to exercise, and had more comorbidities had significantly poorer sleep than other groups (p = 0.002, 0.016, 0.023, and <0.001, respectively). The level of education, financial status, distance from home to dialysis center, and participants’ satisfaction at the time of dialysis had no influence on the quality of sleep among HD patients. The multiple linear regression shows that exercise (p = 0.017), the number of comorbidities (p = 0.008), and the duration of dialysis (p < 0.020) were the independent factors affecting the quality of sleep among HD patients. (4) Conclusions: About one-third of HD patients in this study had poor sleep. There were significant differences between patients’ age, gender, marital status, and sleep-quality levels. Moreover, participants who retired, had a higher number of dependents, did not adhere to exercise, and had more comorbidities had significantly poorer sleep than other groups. Future studies should develop appropriate interventions to address the problem of poor sleep quality among HD patients.
Histopathologic Patterns of Ovarian Tumors in Hawassa University Comprehensive Specialized Hospital, Southern Ethiopia

Objective In Ethiopia, there is no national-level cancer registry except capital Addis Ababa, and little research was performed on ovarian tumors. This study is aimed at assessing different histopathologic patterns of ovarian tumors and their distribution based on age, biological behavior, and gross findings at a tertiary-level hospital in Ethiopia. Methods In this study, 187 biopsy-confirmed ovarian tumors from September 2017 to August 2021 were included. All data were collected from the pathology department report format, classified according to the latest World Health Organization (WHO) classification system, and analyzed using SPSS 20.0 and Microsoft Excel 2010 at Hawassa University Comprehensive Specialized Hospital, Hawassa, Ethiopia. Results A total of 187 women with ovarian tumors were included in this study. Of these, 143 (76.5%) were benign, 35 (18.7%) were malignant, and 9 (4.8%) were borderline tumors. Both benign and borderline tumors mostly occur at the age of 20–39 years. Surface epithelial tumors were the most common histopathologic pattern at 57.8% followed by germ cell tumors at 29.4% and sex cord-stromal tumors at 11.7%. Mature cystic teratomas were the most common benign ovarian tumors accounting for 37.8% of them, while serous cystadenocarcinomas were the most common malignant ovarian tumors accounting for 31.4% of malignant neoplasms. Conclusion In the current study, surface epithelial tumors were the most common ovarian tumors followed by germ cell tumors. Younger age at presentation was observed for malignant ovarian tumors.
Biogeography and depth partitioning in deep‐sea gastropods at the Pacific Costa Rica Margin

Understanding the global distribution of biodiversity and the factors that influence it are among the central goals of biogeography. How abiotic and biotic factors limit species' ranges has been investigated across a variety of environments and taxonomic groups. However, such investigations across oceanic depths remain underrepresented, particularly for chemosynthetic environments such as hydrocarbon seeps. The depth differentiation (DD) hypothesis suggests that steep environmental gradients in the upper depths of the ocean may limit species' ranges over relatively short vertical distances. The present study aims to investigate the evidence for the DD hypothesis at hydrocarbon seep sites along the Pacific Costa Rica Margin (CRM) by investigating the biogeographic distributions of gastropods sampled there and the factors that influence them.
EVALUATION OF THE EFFECTS OF INSTALLING RED LIGHT CAMERAS AT SELECTED ADELAIDE INTERSECTIONS

Red light cameras have been used in South Australia since July 1988. This report evaluates the effectiveness of the red light camera programme in road crash reduction. A notable feature of the report was a strong improvement in crash rates at all sites. This suggests that road safety has generally improved at both red light camera and non red light camera metropolitan intersections. Although the results show a decrease for the crash types surveyed, they are not significant empirically. The apparent red light camera ineffectiveness suggests difficulties with either the principles behind the programme or its implementation. Procedures governing the use and siting of the existing cameras should be reviewed and, although the existing red light camera programme should remain, the programme may be expanded if further analysis determines the conditions for maximum red light camera effectiveness. (a)
Investigating the Fundamental Conditions for Quantitative Growth to Obtain High-Quality WS2 Using a Process of Physical Vapor Deposition

Two-dimensional layered transition-metal dichalcogenides (2D-TMDs) have garnered significant attention due to their layer number-dependent electronic properties, making them promising candidates for atomically thin electronics and optoelectronics. However, current research has primarily focused on exfoliated TMD materials, which have limitations in size, layer number control, and yield. Therefore, a crucial challenge remains in producing large single TMD crystals with precise control over the layer number. A comprehensive understanding and precise control of the growth conditions are imperative to address this challenge. This study systematically investigated key growth conditions, including temperature, precursor flow, growth duration, material quantity, gas flow, and slide position. By optimizing these parameters, we successfully synthesized TMD materials with an impressive size of 850 µm. Notably, we achieved the preparation of monolayer WS2 single crystals on a large scale within a remarkably short duration of 10 min, exhibiting a lateral growth rate of up to 1.4 μm/s, which is comparable to the best-exfoliated monolayers. The findings from our study provide a robust pathway for the rapid growth of high-quality TMD single crystals, facilitating further advancements in this field.
Application of Performance and Efficiency Indicators in Measuring the Level of Success of Public Universities in Poland

Success can be interpreted and assessed in various ways. This article proposes evaluating university success through performance and efficiency indicators, inspired by the Positioning School of Strategy and New Public Management. This approach faces challenges, such as limited economic data for Polish public universities. The article aimed to identify factors and success levels for public universities in the higher education sector. The research question, “What are the measures and levels of success of public universities? ”, was divided into three specific inquiries: key success factors, performance and efficiency indicators, and success levels for selected Polish public universities. The study involved analysing international and Polish university rankings, interviewing 53 public university experts in Poland, and examining efficiency indicators for 10 selected public universities. Critical success factors (research excellence, education excellence, international cooperation) and critical performance indicators were identified. Efficiency indicators demonstrated the good financial condition of selected institutions. Critical success factors and critical performance indicators were defined, and performance and efficiency measures were used to assess the success of Polish public higher education institutions. The authors acknowledge the need for parametric and non-parametric methods to fully evaluate success. The proposed performance-oriented measurement tool can assist public university leaders in making strategic decisions.
Friedewald formula may be used to calculate non-HDL-C from LDL-C and TG

Background The Friedewald formula (FF) was originally designed 50 years ago and has been in use to this day despite better methods for estimating LDL cholesterol (LDL-C). Its success was mainly due to its simplicity. Nowadays most laboratories determine or can determine LDL-C by the direct method. The SCORE2 tables, recommended by the European Society of Cardiology, are based on non-HDL cholesterol (non-HDL-C). To calculate its value, one needs to know the values of total cholesterol (TC) and HDL-C. The presented idea is to use the FF to calculate non-HDL-C based on the values of LDL-C and TG instead of TC and HDL-C. Methods and findings Based on database of 26,914 laboratory results, covering the complete lipid panel, the error regarding non-HDL-C values calculated in both ways (recommended and proposed) was determined. The average error in the LDL-C value calculated with the FF compared to the LDL-C value measured in the laboratory is 9.77%, while for non-HDL-C the error between the calculated and laboratory-determined value amounts to 8.88%. The proposed transformation of the FF also yields a much lower percentage of error calculations. Both LDL-C and non-HDL-C (calculated) in our material are strongly correlated with LDL-C and non-HDL-C (measured) values of r = 0.965 (p < 0.000) and r = 0.962 (p < 0.000), respectively. Conclusion Non-HDL-C may be calculated based on the values of LDL-C and TG (without the need to determine the levels of TC and HDL-C). The proposed calculation may greatly reduce the cost of testing, given the price of a complete lipid profile.
Are vulnerable adolescents more prone to smartphone and Internet addiction? A cross-sectional study among adolescents in Switzerland

ABSTRACT In this study, we wanted to assess the association between the level of vulnerability and two behavioural addictions – smartphone and Internet addictive use. Data were drawn from an online in-school survey on screen use carried out among 10th graders (aged 13–14 years) in the canton of Vaud (Switzerland) from November 2019 to February 2020. The analytic sample included 2893 adolescents (50.1% males), with a mean age of 13.1 years. We defined adolescent’s vulnerability based on the following social determinants of health: family socioeconomic status, relationship with parents and academic performance. We categorized participants into three groups depending on their level of vulnerability: Not Vulnerable, Moderately Vulnerable and Highly Vulnerable. Then, we conducted bivariate and multivariate analyses to compare them in terms of SA and IA while considering other explanatory factors including gender, age, residence area, place of birth, educational track, family structure, emotional well-being, being overweight, physical activity, problems with sleep, screen time and parental rules regarding screens and Internet use. We found that almost 28% of adolescents were identified with some degree of vulnerability. Our results showed that adolescents in the Moderately and Highly Vulnerable groups are more likely to develop SA and IA with increased rates observed in the Highly Vulnerable adolescents in the bivariate model. However, in the multivariate model, this relationship only remained significant for the Moderately Vulnerable group. Our findings further suggest that there are other factors significantly associated with vulnerability including age and gender. Given our overall results, it is important to acknowledge that even developed countries contend with the problem of vulnerability among adolescents. A better understanding of this subject, as well as possible consequences and appreciation of the factors defining vulnerability, is needed if inequities are to be addressed.
INFLUENCE OF STRATEGIC LEADERSHIP ON PERFORMANCE OF SACCO’S IN THE PUBLIC ROAD TRANSPORT IN KENYA

Public road transport sector in Kenya is experiencing deteriorating performance associated with increased cases of road accidents, poor service delivery, periodical strikes of public road transport sector Sacco’s and slow rate of implementation National Transport and Safety Authority (NTSA) regulations. The study aimed to establish the influence of strategic leadership on performance of Savings and Credit Co-operative Societies in the Public Road Transport in Kenya. Further, the moderating effect of environmental analysis on the relationship between strategic leadership and performance of Sacco’s in the public road transport in Kenya was tested. Positivist paradigm and adopted descriptive research design was used. The target population was 475 Public Road Transport Sacco’s operating in Kenya as per National Transport and Safety Authority report of 2015. Stratified random sampling method was adopted to choose 189. Respondents were selected from large, medium and small public Road Transport Sacco’s operating in Kenya. Managers of public road transport Sacco’s were the respondents of the study. Structured questionnaires were used to collect primary data. Secondary data was collected from internal reports of Sacco’s such as strategic plans and other reports. Data was analyzed quantitatively and tabulated using descriptive statistics. Regression and correlation analysis, were conducted to established statistical relationship between strategic leadership on performance of Sacco’s in the Public Road Transport Sector in Kenya. The study concluded that unless Sacco’s dedicate their effort in strategic leadership achieving competitive advantage would be an uphill task. The study recommended that the Ministry of Transport should establish an institute that equips managers of public road transport sector Sacco’s with formal knowledge on development, implementation and evaluation of strategies. Key Word: Strategic Leadership, Organization Performance
Imbalance Robust Softmax for Deep Embedding Learning

Deep embedding learning is expected to learn a metric space in which features have smaller maximal intra-class distance than minimal inter-class distance. In recent years, one research focus is to solve the open-set problem by discriminative deep embedding learning in the ﬁeld of face recognition (FR) and person re-identiﬁcation (re-ID). Apart from open-set problem, we ﬁnd that imbalanced training data is another main factor causing the performance degradation of FR and re-ID
Autocollimators: plane angle measurand ambiguities and the impact of surface form

A phase shifting interferometer and a deformable mirror were used to study the impact of surface form on autocollimators, which detect the orientation of a plane reflecting surface. As real surfaces are not strictly planar, autocollimators must reduce a distribution of local surface orientations to a single reported angle, implicitly defining a measurand. Plausible choices of the summary statistic used to collapse an angle distribution to a single number can disagree by \SI{4}{\arcsecond} for a surface with a \SI{35}{mm} diameter and \SI{130}{nm} standard deviation from the best-fit plane. Combining a general framework for specifying autocollimator measurand definitions with Monte-Carlo simulation of random test surfaces yields estimates of the plausible differences between autocollimator measurands as a function of surface deformation amplitude, and shows the existence of three separate classes of measurands according to their sensitivity to subsets of the Zernike polynomials. Uncertainties due to surface form and measurand ambiguity can be eliminated by explicitly specifying a plane angle measurand for imperfect surfaces, such as a least-squares plane fit realized using an interferometer.
Review of Australian Species of Paracheilinus Fourmanoir (Teleostei: Labridae), with Description of a New Species from the Great Barrier Reef and Coral Sea

Australian species of the cirrhilabrin labrid genus Paracheilinus are reviewed. Four species of Paracheilinus are reported from Australian waters: P. amanda, new species, from Flora, Holmes, and Osprey Reefs, Coral Sea, off northeast Queensland, and Harrier Reef, Great Barrier Reef; P. filamentosus from Lizard Island, Great Barrier Reef; P. flavianalis from Evans and Flinders Shoals, Timor Sea, off northeast Darwin, Northern Territory, and Ashmore, Scott, Seringapatam, and Hibernia Reefs in the north-western shelf of Western Australia; and P. nursalim from Flinders Shoal, Timor Sea, off northern Darwin, Northern Territory. Paracheilinus amanda, new species, has previously been confused for P. rubricaudalis from Melanesia, but molecular analysis of mitochondrial COI recovers both species as reciprocally monophyletic lineages, differing from each other by 1–1.2% in genetic distance. They further differ in aspects of live coloration of terminal phase (TP) males. Both species are allopatric and do not overlap in distribution. The new species is described on the basis of six specimens: the holotype and two paratypes from Harrier Reef, Great Barrier Reef, one paratype from Flora Reef, Coral Sea, and from two paratypes collected off Hula in southern Papua New Guinea, along the north-western margin of the Coral Sea. The discovery of P. nursalim in Australia represents a new and significant range extension from previous locality records of West Papua and Ambon Bay. Paracheilinus is rediagnosed, and keys, diagnoses, photographs, and Australian distribution records are presented for all species herein.
DISCOVERY OF RELATION BETWEEN Listeria AND OTHER BACTERIAL CONTAMINATION USING CLASSIFICATION REFINEMENT TECHNIQUE

People often use chicken to prepare their diary meal which creates a great demand for food producers and exporters in Thai food industry. Thailand is ranked fourth in chicken exporters in the world. Standards on chicken meat regulations differ from country to country. One commonality remains: controlling the bacteria that can affect human life, particularly pregnant women and the unborn. One of the important bacteria is called Listeria which receives high attention for the industry to prevent their contamination in chicken. A microbiological test is usually conducted to analyze the data from industry. However, the microbiological test is incapable of identifying other variants from Listeria contamination. There is no computer model that can be used in Listeria contamination analysis. Anyhow, such tests create plenty of data that can be applied with a computer model to investigate the factors that causes Listeria contamination. This research proposes a classification refinement technique which composes of random forest and linear regression to predict the variants of Listeria contamination. Moreover, Na? ve Bayes is used to assess the model correctness. This proposed procedure can reveal the important causes relating to variants and the conditions on the number of these variants that produce Listeria contamination.
Observed Soil Moisture–Precipitation Feedback in Illinois: A Systematic Analysis over Different Scales

The lack of understanding on the soil moisture–precipitation feedback mechanisms remains a large source of uncertainty for land–atmosphere coupled models. Previous observation-based studies on the soil moisture–precipitation feedback in Illinois have shown contradictory results. This paper extends earlier research by providing a more holistic analysis considering different scales based on an 11-yr (2003–13) hourly soil moisture dataset, which makes it possible to revisit the disputed hypothesis on the correlation between warm-season soil moisture and subsequent precipitation. This study finds a strong positive correlation between late spring/early summer state-average soil moisture at the root-zone depths and subsequent state-average summer precipitation. On the daily to weekly time scale, however, no relation is found. Moreover, regional analysis suggests that precipitation variability over central Illinois can be best explained by the soil moisture variability in northwest Illinois. Using a back-trajectory method [Water Accounting Model-2 layers (WAM-2layers)] from May to July, the evaporative sources of precipitation in Illinois are identified. The pattern of the source regions shows little interannual variability, while the strength of the sources changes significantly and the Gulf of Mexico contributes more during wet years. However, strong influences (teleconnections) of sea surface temperatures on the subsequent precipitation variability in Illinois are not found on a seasonal scale. The long time scale of the soil moisture–precipitation correlation and the weak influences of SSTs and climate indices may suggest that precipitation variability in spring/summer in Illinois is mostly related to continental-scale soil moisture–precipitation feedback.
A nomogram based on collagen signature for predicting the immunoscore in colorectal cancer

Objectives The Immunoscore can categorize patients into high- and low-risk groups for prognostication in colorectal cancer (CRC). Collagen plays an important role in immunomodulatory functions in the tumor microenvironment (TME). However, the correlation between collagen and the Immunoscore in the TME is unclear. This study aimed to construct a collagen signature to illuminate the relationship between collagen structure and Immunoscore. Methods A total of 327 consecutive patients with stage I-III stage CRC were included in a training cohort. The fully quantitative collagen features were extracted at the tumor center and invasive margin of the specimens using multiphoton imaging. LASSO regression was applied to construct the collagen signature. The association of the collagen signature with Immunoscore was assessed. A collagen nomogram was developed by incorporating the collagen signature and clinicopathological predictors after multivariable logistic regression. The performance of the collagen nomogram was evaluated via calibration, discrimination, and clinical usefulness and then tested in an independent validation cohort. The prognostic values of the collagen nomogram were assessed using Cox regression and the Kaplan−Meier method. Results The collagen signature was constructed based on 16 collagen features, which included 6 collagen features from the tumor center and 10 collagen features from the invasive margin. Patients with a high collagen signature were more likely to show a low Immunoscore (Lo IS) in both cohorts (P<0.001). A collagen nomogram integrating the collagen signature and clinicopathological predictors was developed. The collagen nomogram yielded satisfactory discrimination and calibration, with an AUC of 0.925 (95% CI: 0.895-0.956) in the training cohort and 0.911 (95% CI: 0.872-0.949) in the validation cohort. Decision curve analysis confirmed that the collagen nomogram was clinically useful. Furthermore, the collagen nomogram-predicted subgroup was significantly associated with prognosis. Moreover, patients with a low-probability Lo IS, rather than a high-probability Lo IS, could benefit from chemotherapy in high-risk stage II and stage III CRC patients. Conclusions The collagen signature is significantly associated with the Immunoscore in the TME, and the collagen nomogram has the potential to individualize the prediction of the Immunoscore and identify CRC patients who could benefit from adjuvant chemotherapy.