Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Women's knowledge about Family Planning Methods at Omer Sawi Teaching Hospital

Objective)s(: This study aimed at evaluating women's knowledge about family planning (FP) methods. Methodology: Descriptive correlational hospital-based research was conducted at Omer Sawi Teaching Hospital, from August to September 2019. A random sample of (320) woman was recruited post their agreement. Data were collected by interview questionnaire and analyzed using a statistical package for social sciences (SPSS) which included the use of descriptive and inferential statistical methods with accepted P < 0.05for the significant correlation. Results: The research findings revealed that the age group between (21-25) year represented (53.1%), most common education level was secondary school (56%). Most of women had (2-5) children. Half of the women had delivered their children with space of less than one year. Knowledge of women about FP was (58.5%). Although, 224(70%) had past experience of FP use, however, over one third 80(35.7%) stopped it because of different reasons, mainly the side effect. Currently, (45%) of the participant used FP, mainly hormonal methods 204(63.74%). Significant correlation was found between women’s knowledge about FP and their educational level (r = 0.768. P = 0.000). Conclusions: Women's knowledge of FP was poor and women focused on the use of hormonal methods. Significant correlation was found between women's knowledge about FP and their educational level. Recommendations: Empowerment of women concerning family planning should be intensified to insure its sustainability over the time.
Audio Watermarking Algorithm for Tracing the Re-recorded Audio Source

—The popularization of recording equipment and the increase of audio signals propagated through air channels, re-recording becomes a common way to remove watermarks. Audio watermarking scheme robust against re-recording attack is challenging work. This paper proposed a robust audio watermarking algorithm used for source tracking. The logarithmic mean of coefﬁcient (LMC) feature is deﬁned, and the stability of this feature in re-recording attacks is analyzed. We given the method of embedding information by quantizing DCT intermediate frequency coefﬁcients to quantize LMC features. For embedding, frame number and the watermark generated by copyright information are embedded in the carrier signal audio frame. The extraction end extracts the frame number to synchronize the watermarked audio frame, and then extracts the watermark to prove the audio owner and trace the source. Compared with common audio watermarks used for copyright protection, this algorithm is robust against signal processing and de-synchronization attacks, but also robust against re-recording attacks.
Effects of Graded Methionized Yeast on the Growth, Nutrient Utilization, and Hematobiochemistry of Hybrid C. gariepinus

Sacharomyces cerevisiae contains about 45% protein but lacks some essential amino acids like methionine. Methionine promotes the growth of yeast and inhibits autophagy. We methionized yeast for 48hrs at 28°C and thereafter used it in the formulation of novel diets for hybrid African catfish “heteroclarias”. The diets varied in the inclusion of methionine: Sacharomyces cerevisiae as follows; F1, 0:250; F2, 200:50; F3,150:100; F4, 100:150; F5, 50:200, and F6, 250:0. Hybrid catfish were stocked at 20 fish per aquaria, subjected to 12D:12L photoperiods and were fed ad libitum for 86 days. Hybrids that received feed F5 (200gyeast:50g Meth), had the highest SGR, 2.86±0.05 % day -1 , lowest FCR F2, 1.04±0.08, highest weight gain 264.96±0.73g, highest PER 5.92±0.07 and highest DFI of 2.95±01g day -1 . Conversely the hybrid fed diets F2 (200gMeth:50g yeast), had the lowest SGR of 0.97±0.01% day -1 , highest FCR of 2.53±0.01, lowest weight of 35.03±7.52g, lowest PER 0.80±0.02 and lowest DFI of 0.47±0.02g day -1 . All analyzed hematobiochemical indices were optimal for catfish fed F5 (200gyeast:50g Meth) and poorest for those fed F2(200gMeth:50g yeast). Results suggest that 50g kg -1 methionine inclusion and methionization of yeast is optimal and yields best growth, nutrient utilization and hematological parameters in diets of hybrid African catfish.
Develeopment of Sensory Organs and Its Effects on Growth in Chicks

Recently, alterations in poultry farming have been much more than other branches of agriculture. This case also achieves a great deal of success in terms of efficiency. Increasing productivity in broiler production is one of the most important issue and researches are increasing day by day. Both during incubation and after hatching, applications are aimed at increasing productivity, growth and development. In this study, the development of sensory organs in chicks and the effects of the applications through sensory organs are emphasized. Especially in recent years, studies on odor, colour and light have been increasing. In the chick sex posed to some applications during incubation, the effects of these applications after hatching have been observed in most studies. To increase these effects positively, more intensive research should be conducted and positive developments should be recorded in broiler production. Broiler development and growth occurs with feed consumption. The earlier the chicks are fed and the more feed is eaten during growth, the more production occurs at slaughter age. For this reason, the importance of the senses in terms of their effect on the feeding behavior is discussed in this study.
Changes in United States Summer Temperatures Revealed by Explainable Neural Networks

To better understand the regional changes in summertime temperatures across the conterminous United States (CONUS), we adopt a recently developed machine learning framework that can be used to reveal the timing of emergence of forced climate signals from the noise of internal climate variability. Specifically, we train an artificial neural network (ANN) on seasonally averaged temperatures across the CONUS and then task the ANN to output the year associated with an individual map. In order to correctly identify the year, the ANN must therefore learn time‐evolving patterns of climate change amidst the noise of internal climate variability. The ANNs are first trained and tested on data from large ensembles and then evaluated using observations from a station‐based data set. To understand how the ANN is making its predictions, we leverage a collection of ad hoc feature attribution methods from explainable artificial intelligence (XAI). We find that anthropogenic signals in seasonal mean minimum temperature have emerged by the early 2000s for the CONUS, which occurred earliest in the Eastern United States. While our observational timing of emergence estimates are not as sensitive to the spatial resolution of the training data, we find a notable improvement in ANN skill using a higher resolution climate model, especially for its early twentieth century predictions. Composites of XAI maps reveal that this improvement is linked to temperatures around higher topography. We find that increases in spatial resolution of the ANN training data may yield benefits for machine learning applications in climate science.
Audit Committee Characteristics and Their Impact on Financial Reporting Quality: A case Study of Some Selected Banks in Nigeria.

In Nigeria, there have been massive financial failures by the deposit money banks, which live a big question mark on the character of auditors and their impetus role in the financial reporting quality. This study examined the impact of audit committee characteristics (Size, independence, meeting, Expertise, Shareholding, firm size) on financial reporting quality in the context of deposit money banks. The study utilised data of fourteen (14) deposit money banks listed on the first tier of the Nigerian stock Exchange as at December,2020. Using Multiple Regression model, the study finds that a decrease in audit committee size, audit committee independence, audit committee meeting, and audit committee expertise, decreases financial reporting quality. On the contrary, an increase in shareholding and firm size increase financial reporting quality of the money deposit banks under study. Based on the findings, the study recommends that; Audit committee size should be watched closely, the banks under study need to be guided on audit committee independence as inability to maintain it would have a negative effect on the financial reporting quality. Audit committee meeting should be held regularly. Audit committee expertise should be composed of experienced financial expertise in order to have meaningful impact on the financial reporting quality. Audit committee shareholding should be encouraged as this indicates a positive contribution to financial reporting quality.
K∗ and Partial Order Reduction for Top-Quality Planning

Partial order reduction techniques are successfully used for various settings in planning, such as classical planning with A* search or with decoupled search, fully-observable non-deterministic planning with LAO*, planning with resources, or even goal recognition design. Here, we continue this trend and show that partial order reduction can be used for top-quality planning with K* search. We discuss the possible pitfalls of using stubborn sets for top-quality planning and the guarantees provided. We perform an empirical evaluation that shows the proposed approach to significantly improve over the current state of the art in unordered top-quality planning. The code is available at https://github.com/IBM/kstar.
Does human capital spillover affect labor productivity?

As a developing country, in 2022 Indonesia is the 4th largest population in the world and predicted to experience a demographic bonus in 2020-2035. However, along with the increase in the population and workforce in Indonesia, it turns out that the productivity of the workforce in Indonesia is still low. This study aims to analyze and examine the effect human capital spillovers proxied by higher educated labor and lifetime in-migration on labor productivity in Indonesia along with other production factor variables. This study used panel data collected from 28 provinces in Indonesia in period of 2010 to 2019. Based on the results, the higher the level of education, the higher the productivity and the presence of higher educated labor can provide knowledge spillover for the environment. Meanwhile, human capital spillover from indicators in-migration has no impact on productivity. These results indicate that knowledge spillover support by quality of human capital, but the movement of labor has not provided positive externalities for the surrounding environment.JEL Classification E24; J24; O47
On mechanisms for HF pump-enhanced optical emissions at 557.7 and 630.0 nm from atomic oxygen in the high-latitude F-region ionosphere

The EISCAT Heating facility was used to transmit powerful high frequency (HF) electromagnetic waves into the F-region ionosphere to enhance optical emissions at 557.7 and 630.0 nm from atomic oxygen. The emissions were imaged by three stations of the Auroral Large Imaging System in northern Sweden and the EISCAT UHF incoherent scatter radar was used to obtain plasma parameter values. The ratio of the 557.7 to 630.0 nm column emission rates changed from I 5577 /I 6300 ≈ 0 . 2 for the HF pump frequency f 0 = 6 . 200 MHz ≈ 4 . 6 f e to I 5577 /I 6300 ≈ 0 . 5 when f 0 = 5 . 423 MHz . 4 f e , where f e is the 5 ionospheric electron gyro frequency. The observations are interpreted in terms of decreased electron heating efﬁciency and thereby weaker enhancement at 630.0 nm for f 0 = 5 . 423 MHz . 4 f e . The emissions at 557.7 nm are attributed to electron acceleration by upper hybrid waves of meter-scale wavelengths that can be excited with f 0 = 5 . 423 MHz . 4 f e .
International Journal of Public Health Science (IJPHS)

Received Dec 6, 2022 Revised May 23, 2023 Accepted Jun 12, 2023 Nowadays, there are lots of hospitals both managed by the private and public sectors. It is a fact that patients have an excellent opportunity to choose the hospital they want to be treated in, which will lead to higher competition between hospitals. Hospitals must be ready to compete with public and private hospitals. The strategy is carried out as well as possible for the success of the services offered by the hospital. One that can be done is using the 7Ps marketing mix theory (product, price, place, promotion, people, physical evidence, and process), which aims to increase the number of visits to the hospital. This research is quantitative research, descriptive-analytic with a cross-sectional approach. The sample size in this study was 110 people, chosen from outpatients in the studied hospital. The sampling technique in this study used purposive sampling with criteria determined by the researcher. The analysis used in this study is multivariate analysis. In this study, it was found that all variables influence consumer decision-making. However, from the seven variables that have been tested, three variables greatly influence consumer decisions partially in using services in the studied hospital. These variables are promotion, process, and physical evidence.
No evidence for evolution in the Far-Infrared-Radio correlation out to z ~ 2 in the ECDFS

Abstract The Far-Infrared Radio Correlation (FRC) is the tightest and most universal correlation known among global parameters of galaxies. Here we present the results of our investigation of the 70 μm FRC of starforming galaxies in the Extended Chandra Deep Field South (ECDFS) out to z > 2. In order to quantify the evolution of the FRC we used both survival analysis and stacking techniques, which gave similar results. We also calculated the FRC using total infrared luminosity and rest-frame radio luminosity, qTIR, and find that qTIR is constant (within 0.22) over the redshift range 0 - 2. We see no evidence for evolution in the FRC at 70 μm, which is surprising given the many factors that are expected to change this ratio at high redshifts.
Using Latent Variable Modeling for Discrete Time Survival Analysis: Examining the Links of Depression to Mortality

Using a latent variable modeling approach to discrete time survival analysis, the dynamics of the relationships of depression and body mass index to mortality are examined with data from the multiwave, nationally representative Health and Retirement Study. A set of medical and demographic variables are employed as time-invariant covariates along with lag-1 depression scores and body mass indexes as time-varying covariates for mortality within an up to 2-year follow-up interval. The results indicate marked links of immediately prior depression levels, as well as notable relations of the body mass indexes, to within-wave mortality in middle-aged and older adults. The approach highlights the benefits of using latent variable modeling for survival analysis, and its findings represent potentially important relationships of clinical and theoretical relevance.
Digital Infrastructure and Local Economic Growth: Early Internet in Sub-Saharan Africa*

We study whether internet availability at basic speeds fosters local economic growth in remote areas of developing countries by analyzing remote towns in about 10 Sub-Saharan African countries. We measure local economic growth of each town by tracking its nighttime light emissions. In a difference-indifferences setting, we exploit plausibly exogenous nationwide variation in internet availability induced by submarine cable arrivals and use the rollout of within-country inter-regional fiber cables to design comparable treatment and control groups. We find that basic Internet availability induces economic growth. Compared to a control group of similar but later connected towns, connected towns experience 10 percent higher light intensity which translates to about 3 percentage points higher annual economic growth in the years after the arrival of submarine cables. Internet availability is accompanied by a shift from agriculture to manufacturing in regional employment. Further analyses suggest this result is mainly driven by per capita productivity growth and not by migration into connected towns. The effect is stronger in towns closer to ports, i.e., with higher market access, indicating that trade is an important mechanism.
This paper is included in the Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation.

We consider the problem of fair resource allocation in a system where user demands are dynamic, that is, where user demands vary over time. Our key observation is that the classical max-min fairness algorithm for resource allocation provides many desirable properties ( e.g. , Pareto efficiency, strategy-proofness, and fairness), but only under the strong assumption of user demands being static over time. For the realistic case of dynamic user demands, the max-min fairness algorithm loses one or more of these properties. We present Karma, a new resource allocation mechanism for dynamic user demands. The key technical contribution in Karma is a credit-based resource allocation algorithm: in each quantum, users donate their unused resources and are assigned credits when other users borrow these resources; Karma carefully orchestrates the exchange of credits across users (based on their instantaneous demands, donated resources and borrowed resources), and performs prioritized resource allocation based on users’ credits. We theoretically establish Karma guarantees related to Pareto efficiency, strategy-proofness, and fairness for dynamic user demands. Empirical evaluations over production workloads show that these properties translate well into practice: Karma is able to reduce disparity in performance across users to a bare minimum while maintaining Pareto-optimal system-wide performance.
Predicting Summertime Caribbean Pressure in Early April

A method to predict the June–September (JJAS) Caribbean sea level pressure anomalies (SLPAs) using data available the previous April is described. The method involves the creation of a multiple linear regression equation that uses three predictors. These predictors are the January–March (JFM) North Atlantic (50 (cid:56) –60 (cid:56) N, 10 (cid:56) –50 (cid:56) W) sea surface temperature anomalies (SSTAs), JFM Nin˜o 3.4 (5 (cid:56) N–5 (cid:56) S, 120 (cid:56) –170 (cid:56) W) SSTAs, and the strength of the eastern Atlantic subtropical pressure ridge measured in March between 20 (cid:56) and 30 (cid:56) W. The physical role of each of the predictors in determining the variations of Caribbean SLPAs is discussed. The forecast equation is developed using a training dataset covering the period 1950–95 (46 yr) and is tested upon independent data covering the period 1903–49 where the data availability permits (42 yr). Results suggest that skillful forecasts are possible. The method reduced the interannual variance of the JJAS Caribbean SLPAs by 50% in the developmental dataset and by 40% in the independent dataset. Separate forecasts for the June–July and August–September SLPAs are also developed, tested, and discussed.
A Cautionary Tale: small earthquakes that might have changed our understanding of Tibetan geodynamics — but were mis-located

o te d on 2 J an 2 2 — C C -B Y -N C 4 — h tt p s: / d o . o rg /1 0 1 0 / ss oa r. 1 5 1 2 . 1 — T h is a p re p ri n t a d h a n o b ee n p ee r re v ie w ed . D a a m ay b e p re li m in a y. A Cautionary Tale: small earthquakes that might have changed our understanding of Tibetan geodynamics — but were mis-located Timothy James Craig, Jackson James, Keith F. Priestley, and Göran Ekström University of Leeds Bullard Laboratories, Department of Earth Sciences, University of Cambridge University of Cambridge Lamont-Doherty Earth Observatory, Columbia University
Institutional Sustainability Development of Higher Education in Indonesia

This study examines the seven primary dimensions of higher education sustainability: Curriculum, Research and Scholarship, Operation, Faculty Staff Development and Rewards, Outreach and Service, Student Engagement, and Administration-Mission Planning. Based on Cluster 1, 2, and 3. This study looked at 146 higher education institutions (HEIs). A survey of 146 university lecturers was used to gather data and calculate the contribution of each dimension, and we used Confirmatory Factor Analysis (CFA). We discovered that HEIs' sustainability is significantly determined by faculty staff development and rewards, administration, mission, and planning. However, the Curriculum and Research Scholarship sections were the weakest. Cluster 1 HEIs had the highest rate of institutional sustainability development, followed by Cluster 2 and 3, as expected. Cluster variability and patterns are also explored to reveal differences between variables. This paper presents a study of commonalities among several sets of learning outcomes for sustainable development in higher education and examples that might help HEIs choose acceptable learning outcomes for sustainable development. This paper is intended to stimulate conversation and forward-thinking, enriching a much-needed part of sustainability education.
The Impact of Financial Performance

This study aims to determine the effect of financial performance and institutional ownership on tax avoidance in the banking industry listed on the Indonesia Stock Exchange during the 2017-2021 period. In addition, to find out whether these factors influence tax avoidance efforts made by the banking industry. This study uses quantitative research methodology, using secondary data sources derived from the annual financial statements of the Indonesia Stock Exchange and Refinitiv. This study uses the purposive sampling method to select 25 banking sector companies from 125. The results showed that tax avoidance efforts were influenced by return on assets and leverage. Company size and institutional ownership do not affect tax avoidance efforts. The limitation of this study is that the institutional ownership variable is quite challenging to obtain because it is limited to the company’s annual report, so it is hoped that further research can expand the scope of the study used.