Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Bayesian networks with Max-Min Hill-Climbing algorithm to detect factors related to multimorbidity

Objectives Multimorbidity (MMD) is a medical condition that is linked with high prevalence and closely related to many adverse health outcomes and expensive medical costs. The present study aimed to construct Bayesian networks (BNs) with Max-Min Hill-Climbing algorithm (MMHC) algorithm to explore the network relationship between MMD and its related factors. We also aimed to compare the performance of BNs with traditional multivariate logistic regression model. Methods The data was downloaded from the Online Open Database of CHARLS 2018, a population-based longitudinal survey. In this study, we included 10 variables from data on demographic background, health status and functioning, and lifestyle. Missing value imputation was first performed using Random Forest. Afterward, the variables were included into logistic regression model construction and BNs model construction. The structural learning of BNs was achieved using MMHC algorithm and the parameter learning was conducted using maximum likelihood estimation. Results Among 19,752 individuals (9,313 men and 10,439 women) aged 64.73 ± 10.32 years, there are 9,129 ones without MMD (46.2%) and 10,623 ones with MMD (53.8%). Logistic regression model suggests that physical activity, sex, age, sleep duration, nap, smoking, and alcohol consumption are associated with MMD (P < 0.05). BNs, by establishing a complicated network relationship, reveals that age, sleep duration, and physical activity have a direct connection with MMD. It also shows that education levels are indirectly connected to MMD through sleep duration and residence is indirectly linked to MMD through sleep duration. Conclusion BNs could graphically reveal the complex network relationship between MMD and its related factors, outperforming traditional logistic regression model. Besides, BNs allows for risk reasoning for MMD through Bayesian reasoning, which is more consistent with clinical practice and thus holds some application prospects.
PREFERENCE OF PATHOGENIC BACTERIAL ASSOCIATED INFERTILITY IN SHEEP WITH SPECIAL REFERENCE TO CAMPYLOBACTER FOETUS AND ITS SENSITIVITY TO SOME ANTIMICROBIAL AGENTS

Campylobacter fetus subsp fetus was highly sensitive to Chloramephenical, Gentamycin, Ciprofloxacin and Oxytetracycline with incidence (90%), (80%), (70%) and (70%) respectively, while was resistant to Penicillin, Nalidixic acid, Erythromycin, and Ampcillin with incidence (100%), (100%), (80%) and (70%) respectively. The hygienic significant of the bacteria isolates were discussed.
Bright and Singular Optical 1-soliton Solutions of Lakshmanan-Porsezian-Daniel Equation with Kerr-law Nonlinearity by Sine-Cosine Method

— This paper obtains Bright and Singular optical 1-soliton solutions to Lakshmanan-Porsezian-Daniel equation with Kerr-law nonlinearity which models the dynamics of optical soliton propagation through optical fibers. The sine-cosine method has been chosen for obtaining optical 1-soliton solutions of the aforementioned equation and validity conditions for the existence of the obtained solutions are thereby stated.
MICROBIOLOGICAL INVESTIGATIONS OF DUCK EGGS WITH SPECIAL REFERENCE TO SALMONELLA IN BOHIRA PROVINCE

A total of 3 hundred (60 random Samples) of duck’s eggs were collected from different markets and farmers houses. The collected samples were examined physically and microbiologically. Physical examination: The obtained results revealed that 14.3% of the examined samples had dirty shell, 6.66% had thin shell and there is no creaked eggs. The results showed that 7.66% had Blood spots, 3.33% had cloudy white, 0.66% had tainted egg and 1.66% of the samples had spready yolk. Microbiological examination: Salmonella could be detected and isolated from 9 (15%) of the examined samples of duck’s egg contents, while egg shells were negative for salmonella isolation. Aspergillus niger Asp. flavus, Asp flavus mixed with Asp niger and Penicillium mixed with Fuzarium, P.mixed with A.niger and Fuzarium mixed with A.flavus could be detected in 17.32%, 17.32%, 11.66%, 3.33%, and 6.66%, 3.33%, and 3.33%, of both duck's egg shell and egg content, respectively in a relatively equal percentage in addition to the isolation of each cladosporium and yeast (mixed) in one shell sample as well as Cladsporium was isolated from one egg content. The public health importance of isolated organisms as well as the suggested measures for improving the egg quality were discussed.
Branching clonal evolution patterns predominate mutational landscape in multiple myeloma

: Multiple Myeloma (MM) arises from malignant transformation and deregulated proliferation of clonal plasma cells (PCs) harbouring heterogeneous molecular anomalies. The effect of evolving mutations on clone fitness and their cellular prevalence shapes the progressing myeloma genome and impacts clinical outcomes. Although clonal heterogeneity in MM is well established, which subclonal mutations emerge/persist/perish with progression in MM and which of these can be targeted therapeutically remains an open question. In line with this, we have sequenced pairwise whole exomes of 62 MM patients collected at two time points, i.e., at diagnosis and on progression. Somatic variants were called using a novel ensemble approach where a consensus was deduced from four variant callers (Illumina’s Dragen, Strelka2, SomaticSniper and SpeedSeq) and actionable/druggable gene targets were identified. A marked intraclonal heterogeneity was observed. Branching evolution was observed among 72.58% patients, of whom 64.51% had low TMBs (<10) and 61.29% had 2 or more founder clones. The hypermutator patients (with high TMB levels ≥10 to ≤100) showed a significant decrease in their TMBs from diagnosis (median TMB 77.11) to progression (median TMB 31.22). A distinct temporal fall in subclonal driver mutations was identified recurrently across diagnosis to progression e.g., in PABPC1, BRAF, KRAS, CR1, DIS3 and ATM genes in 3 or more patients suggesting such patients could be treated early with target specific drugs like Vemurafenib/Cobimetinib. An analogous rise in driver mutations was observed in KMT2C, FOXD4L1, SP140, NRAS and other genes. A few drivers such as FAT4, IGLL5 and CDKN1A retained consistent distribution patterns at two time points. These findings are clinically relevant and point at consideration of evaluating multi time point subclonal mutational landscapes for designing better risk stratification strategies and tailoring time to time risk adapted combination therapies in future. pathways in cancer, metabolism of galactose, cholesterol, drugs, cellular senescence, cell cycle, apoptosis, viral carcinogenesis, RNA de-gradation, base excision repair and several other crucial signalling pathways involved in pathogenesis of MM or immune surveillance.
Ins ights in Entrepreneurship Educat ion

The purpose of this study is to identify and analyze reoccurring insights in Entrepreneurship Education (EE) literature, fill gaps in the scholarly discussion, and develop innovative teaching tools for entrepreneurship educators. The study is based on an in-depth review of the current EE literature drawing on insights from about 70 studies. The analysis finds a clear need for: EE on the university level; clear goals and objectives; clear program descriptions; a more practical orientation; and true alumni networks. Additionally it finds that EE should be interdisciplinary, student-centered, practical, as well as containing strong elements of reflection, support, and networking. These findings are a valuable resource for educators interested in innovative teaching practices and entrepreneurship program design in a university context. This paper develops three suggestions on the use of innovative teaching practices, namely a course on business models, an adapted form of business simulation with a focus on cross-disciplinary networking, and a comprehensive class in entrepreneurial venturing that takes the student through all steps of establishing and growing a business.
Serendipitous Discovery of a Broad Absorption Line QSO at z = 2.169

We report the serendipitous discovery of a broad absorption line (BAL) QSO at z = 2.169, located 41″ southwest of 3C 48. We present Keck Low Resolution Imaging Spectrometer spectroscopy covering rest-frame wavelengths 1500–2300 Å. The C IV BAL has three components, and it extends to outflow velocities of at least 12,000 km s-1. The BAL QSO has an intervening low-ionization metal-line absorption system at z = 1.667, which is likely to be a damped Lyα absorber. Hubble Space Telescope images show extended luminous material around the QSO, which could be either the host galaxy or the intervening system.
Two Sides of a Coin: Effects of Perceived and Actual Financial Literacy on Investment Decision Making Behavior Mediated by Financial Risk Tolerance

Investment decision making is a complex phenomenon driven by the behavioral dimensions of investors, based on both the objective and subjective grounds, since investors are the humans. This is a qualitative research based on extensive literature review and develops a framework useful for future investors. This study explores the impact of perceived and actual financial literacy on financial risk tolerance and investment decision-making behavior of individual investors. Study also identifies the role of financial risk tolerance between the relationship of financial literacy (perceived and actual) and investment decision-making behavior. Based on extensive literature review, study concludes that harmonization among perceived and actual financial literacy of investors is necessary for making accurate decisions with minimum risk. Similarly, it identifies that high and sufficient financial literacy leads to better financial risk tolerance ability, therefore investors invest in risky securities confidently. Furthermore, study is a guideline for investors, professionals and households for im-proving their financial literacy. Also, it helps investor to identify level of financial literacy they required to deal with risky financial conditions and for making healthy investment decisions. Finally, study will help investors to make true evaluation of their actual financial knowledge to avoid overconfidence, a negative predictor of decision-making behavior.
A NOTE ON THE LEVEL OF SIGNIFICANCE OF THE PRELIMINARY TEST IN POOLING VARIANCES

The problem of whether to pool two samples in variance estimation is often decided via a preliminary F-test. Since our ultimate objective is to estimate an unknown parameter, the theory of testing in this problem should be discussed as a part of the theory of estimation. If we consider the procedure of prelimi nary test estimation as an estimation procedure, the choice of the level of sig nificance will not be arbitrary. The procedure of minimizing Akaike's information criterion uniquely determines the necessary significance levels of one-sided and two-sided preliminary tests.
Mode Selection, Power Adaptation and Channel Assignment in Device-to-Device Communication

- Device-to-Device (D2D) communication is a technique that allows two devices to communicate with each other in the licensed band without the requirement of a base station. The major advantage of D2D communication is that it allows reuse of spectrum resources and thereby improves spectral efﬁciency. However, it has to deal with interference mitigation and resource allocation. This paper focuses on mode selection, power adaptation and channel assignment for bandwidth efﬁcient and energy efﬁcient D2D communication. In the scheme used here, distributed mode selection is formulated as an evolutionary game and channel allocation uses a graph theoretical approach such that interference is minimum, while power control is performed using channel inversion. The simulations show that the D2D communication improves capacity, reduces power consumption and performs effective band-width allocation.
Example Sentence Selection for Feedback on Preposition Usage

—While many writing assistance systems can automatically correct grammatical errors, most do not provide any explanation about their suggested corrections. This paper proposes an algorithm that selects example sentences to serve as feedback on preposition usage correction. This algorithm exploits the argument/adjunct distinction to select the most relevant example sentences. Evaluation shows that the use of argumenthood information improves the quality of the selected sentences.
Continuity of Care in Swiss Cancer Patients Using Claims Data

Background: Continuity of care is positively associated with beneficial patient outcomes. Data on the level of continuity of care in the ambulatory setting in Switzerland are lacking. Aim: The aim of this study was to evaluate continuity of care in Swiss cancer patients based on routine data of mandatory health insurance using four established continuity scales. Methods: Retrospective analysis of Swiss claims data (N=23ʹ515 patients with incident use of antineoplastics). The Usual Provider Continuity score, the Modified Modified Continuity Index, the Continuity of Care index, and the Sequential Continuity Index were analyzed based on consultations with general practitioners (GPs), physician specialists and ambulatory hospital wards. Results: Using information of health insurance claims, the number of consultations and the general level of continuity of care in Swiss cancer patients are high. Continuity of care scores were significantly associated with sociodemographic and regional factors. When focusing on consultations with GPs only, all four scores consistently showed high values indicating high levels of continuity. Continuity with general practitioners was associated with lower costs and lower risks for hospitalization and death. Conclusion: This is the first study giving insight into continuity of care in Swiss cancer patients. The present study shows that continuity of care is measurable using health insurance claims data. It indicates that continuity with general practitioners is associated with a beneficial outcome.
Analysis and Prediction of Diabetes Diseases

- Today, the data mining is popular as an important field in healthcare sector for deeper study of medical data and providing accurate predictions of diseases.Various diseases such as stroke, diabetes, cancer, hypothyroid and heart disease, etc are identified using data mining techniques. To predict if the individual is infected by diabetes or not, the required dataset was downloaded. As the number of people affected by diabetes increases day by day this prediction helps to find if the patient is diabetic or not. In machine learning analyzing and summarizing data from different aspects into valuable information is the main point of view. The data from different dimensions are analysed then it categorize the relationships. WEKA is a data analysis tool for machine learning classification. The vital technique with more applications in various fields is called Machine learning. It is used to classify each item in a set of data into one predefined set of classes. This research paper presents the analysis and prediction of diabetes diseases. The proposed work focuses on machine learning techniques and using the WEKA tool.
A Study on the Correlations among Tourism Storytelling, Perception of Touristic Attractiveness and Behavioral Intention for Baekje Historic Areas

Background/Objectives: As the marketing value for tourism storytelling increases, the purpose of this study is to present various implications through the examination on inﬂuential correlations of tourism storytelling of Baekje Historic Areas aﬀecting tourists’ perception of attractiveness and behavioral intention. Methods/Statistical Analysis: For the achievement of the purpose intended in this study, a questionnaire survey was conducted for one month of September, 2016 on the tourists who visited Buyeo, one of Baekje Historic Areas. Out of the questionnaires distributed, except for 16 questionnaires prepared unfaithfully, 214 ﬁnal questionnaires were used for the survey analysis. As the statistical treatment for positive analysis, a frequency analysis, a reliability analysis, a factor analysis, and a regression analysis were conducted, respectively by use of the SPSS (Statistical Package for the Social Sciences) for win 20.0. Findings: As a result of study, ﬁrst, it was represented that the storytelling aﬀected the perception of attractiveness. Therefore, Baekje Historic Areas provides the implications that when various tourism stories are discovered to ap-International proach the tourists with their educational property, unique-ness, interesting property, and easiness of understanding, the tourists are more attracted to Baekje Historic Areas. Second, it was represented that the storytelling aﬀected the behavioral intention. It is judged that in order to promote the revisit and inﬂow of tourists to Baekje Historic Areas, the tourism storytelling strategies are indispensable, and that among these, the stories which can induce the interest and which contains educational contents should be preceded. Third, it was represented that the perception of attractiveness aﬀected the behavioral intention. It is considered that in order to encourage tourists to revisit to Baekje Historic Areas and induce them to recommend their friends, neighbors and acquaintances to visit Baekje Historic Areas, the attractive values should be conveyed well, and in particular the characteristics unique to tourist sites which can emphasize the traditional property should be established. Improvements/Applications: This study has a limitation that the study was made centering on Baekje Historic Areas. Therefore, it is desirable that in the future study, this will be expanded more to enable a study on various storytelling on the world cultural heritage in the country.
Influence of form of selenium supplementation and tall fescue endophyte toxicity on growth performance, serum parameters, and tissue masses of grazing beef steers

Abstract To test the hypothesis that average daily gain (ADG) and clinical parameters of steers grazing novel non-toxic (NTE) or toxic KY-31 (TE) endophyte-infected tall fescue would be improved by ad libitum intake of vitamin‐mineral mixes (V-M) that contain 27 ppm Se as a 1:1 blend of SELPLEX:sodium selenite (MIX) vs. sodium selenite (ISe), 32 fescue-naïve beef steers partially depleted of Se were randomly assigned to ad libitum consumption ISe vs. MIX for 35 days and fed enough of a NTE/alfalfa/grain diet to achieve 0.57 kg BW gain/day. Then, within Se-form treatments, two steers were randomly assigned to each of four NTE (ISe = 316 ± 31 kg BW, MIX = 315 ± 22 kg BW) or TE (ISe = 316 ± 37 kg BW, MIX = 314 ± 39 kg BW) paddocks for 84 days and had ad libitum access to their respective V-M. The MIXED procedure of SAS was used to assess effects of day, Se-form (ISe, MIX) and endophyte (NTE, TE) treatments, and their interactions. Whole blood Se decreased (P < 0.01) 31% from days 0 to 84 and was 6.2% greater (P < 0.01) for MIX steers. Serum prolactin decreased (P < 0.01) 18% for NTE and 48% for TE steers from days 0 to 84 and was 17% greater (P = 0.01) for MIX vs. ISe for TE steers. Serum alkaline phosphatase activity decreased (P < 0.02) 27% from days 0 to 84 and was 15% greater (P < 0.02) for MIX steers. Serum urea nitrogen increased (P < 0.02) 8.2% from days 0 to 84 for TE but not NTE steers. Average daily gain was less (P < 0.01) for steers grazing TE (−0.18 kg/day) compared with NTE (0.09 kg/d). Although there was increased serum alkaline phosphatase activity and increased serum prolactin for TE + MIX steers compared with TE + ISe steers, MIX supplementation was unable to increase serum prolactin concentrations or ADG to the same levels as steers grazing NTE. Longer adaptation to MIX supplementation ad libitum may be necessary for maximal Se assimilation to restore serum prolactin levels in steers grazing TE.
THE INFLUENCE OF ADVERTISING, DIRECT MARKETING AND EVENT EXPERIENCE ON BRAND AWARENESS AND THEIR IMPACT ON PURCHASE DECISION

The new model of business selling dried flower in Sukabumi has become an interesting research object to test its marketing variables. In this study, the variables used to determine the extent to which the Brand Awareness variable is formed from the Advertising variable, the direct marketing variable and the Event & Experience variable, impacted on purchasing decisions. The method used is descriptive quantitative. The model was analyzed by structural equation modeling (Structural Equation Modeling) based on components or variants (component bases) which is popular with Partial Least Square (PLS). The results show that the three variables tested significantly affect Brand Awareness, namely the Total Effect value of 0.028 for Advertising, 0.096 for Direct Marketing, and 0.0558 for Event & Experience. The conclusion in this study describes the variables that strongly support the creation of Brand Awareness in a product between Advertising, Direct Marketing and Ecent & Experience; a strengthened Event & Experience has a significant influence
Demand-Side Management Using Deep Learning for Smart Charging of Electric Vehicles

The use of electric vehicles (EVs) load management is relevant to support electricity demand softening, making the grid more economic, efficient, and reliable. However, the absence of flexible strategies reflecting the self-interests of EV users may reduce their participation in this kind of initiative. In this paper, we are proposing an intelligent charging strategy using machine learning (ML) tools, to determine when to charge the EV during connection sessions. This is achieved by making real-time charging decisions based on various auxiliary data, including driving, environment, pricing, and demand time series, in order to minimize the overall vehicle energy cost. The first step of the approach is to calculate the optimal solution of historical connection sessions using dynamic programming. Then, from these optimal decisions and other historical data, we train ML models to learn how to make the right decisions in real time, without knowledge of future energy prices and car usage. We demonstrated that a properly trained deep neural network is able to reduce charging costs significantly, often close to the optimal charging costs computed in a retrospective fashion.
Compressibility of graphene

Abstract We present a review of the electronic compressibility of monolayer and bilayer graphene. We focus on describing theoretical calculations of the effects of electron–electron interactions and various types of disorder, and also give a summary of current experiments and describe which aspects of theory they support. We also include a full analysis of all commonly used contributions to the tight-binding Hamiltonian of bilayer graphene and their effects on the compressibility.
Performance analysis of communications systems with radar interference and hardware impairment

The development of future wireless communications systems faces a big challenge of spectrum scarcity. Co-existence of radar and communications systems is thus of great interest. In this work, the performance of a communications system with hardware impairment (HWI) as well as interference from radar systems will be studied. The impact of radar interference, I/Q imbalance coefﬁcients as well as channel state information (CSI) will be evaluated in terms of outage probability and symbol error rate. Simulation results prove that the proposed detectors provide explicit and conducive insights for further exploration of joint radar-communications designs.