Miracle-dz/UniFAR-FTUs huggingface dataset:
FINGERPRINT EMPLOYEE CLOCKING SYSTEM FOR UNIVERSITIES

A system that is used for time-clocking, creating an all-inclusive electronic record of the process involved in how employees logs in and out of work on working days are referred to as a clocking system. The system has an additional feature of calculating an accurate payroll system, which in turn, can lead to a precise amount the company spent on labour. In essence, an employee clocking system is a process of monitoring the attendance, presence and truancy of employees in a work environment. In this project, the University of Energy and Natural Resources was used as a case study. The existing method of recording the presence of staff to work is by a manual process where employees record their attendance on a paper. The challenge of the current employee attendance system is the difficulty in tracing old records, safekeeping, lack of confidentiality and the chances of other employees logging in for their truant colleagues. This paper sought to introduce a biometric employee clocking system to help overcome the high level of truancy in workplaces. The results of the experiment we conducted indicate a high accuracy in our system with TAR value of 99.7%. This accuracy rate is much better than the results other researchers obtained. The excellent accuracy implies that employees will have difficulty to check-in or out for their truant colleagues. The high accuracy results will help improved security of attendance, improved employee performance, ensures fast and easy retrieval of data, easy monitoring of staff, and prevent impersonation in the attendance logs.
Does Organisational Climate Improve Quality Management Practice? Empirical Evidence from Egyptian Higher Education

This study investigated the influence of organizational climate on quality management practices in Egyptian public universities. The study used a quantitative research design method. The sample consists of 150 respondents selected through both stratified sampling and simple random sampling to get a real population representation and minimization of the sampling bias. The research used the questionnaire as an instrument that involved 23 items, distributed to four disciplines: staff freedom, resource adequacy, decision making participation, and quality management practice for data collection by the researcher. The instrument was validated by experts from the Department of Education, Utara Malaysia University, through the face and content validation. Data collected were analyzed using Structural Equation Modelling (SEM) which was employed for data analysis method through AMOS statistical software based on the parametric SEM in AMOS 22.0. Findings from the study revealed that resource adequacy has a significant and positive effect on quality management practices. Meanwhile, decision-making participation has no significant effect on quality management practices. Furthermore, the study indicates that male academic staffs have a significantly higher level of organizational climate than female academic staffs in the Egyptian Higher institution. It was recommended that the university management systems be developed and it is the climate in the light of quality management stander and giving academic staff a clear role in expressing their opinion as conducting discussion plans on decision making with the participation of all employees’ levels at the university.
Improving models of wild boar hunting yield distribution: new insights for predictions at fine spatial resolution

ENETWILD consortium has developed methodologies for modelling wild boar abundance distribution based on hunting yield (HY) data. Although the methodologies reached an acceptable reliability, when models were downscaled to higher spatial resolution the predictions of absolute numbers of hunted animals tended to overprediction. Some important issues such as HY-surface relationship and the spatial autocorrelation of HY data or the accuracy of downscaled predictions were not fully addressed yet due to the complexity of dealing with huge datasets at a European scale. In this report we (i) explored the use of hunted wild boar densities (numbers of hunted wild boar relative to surface) instead of raw counts (numbers of hunted animals) as response variable, and (ii) introduced intrinsic Conditional Auto-Regressive models (iCAR) taking into account spatial autocorrelation. Using simulations and actual wild boar data, these new actions were aimed to produce high resolution predictions (2x2 km grid) with higher accuracy. We assessed model fitting in two different regions in Europe with high quality resolution HY data: Aragón autonomous region (North East Spain, belonging to South Bioregion as defined by ENETWILD) and the whole country of Slovenia (East Bioregion). We found that the marked overprediction, as observed in previous reports when models were downscaled, was now controlled by using hunted wild boar densities as response variable. Additionally, higher accuracy in model predictions was reached when iCAR approach was used to control for spatial autocorrelation. This high accuracy was maintained even when high resolution predictions were aggregated and compared to actual wild boar HY. These approaches should be considered in future models and represent an important step forward to model the distribution of wild boar abundance and other wildlife at high resolution over Europe. count data as response variable controlling by the area, (ii) modelling HY densities as response variable, and (iii) modelling HY densities as response variable accounting for spatial autocorrelation using iCAR. Model predictions were evaluated at two levels: (i) predictions at territorial units used in model calibration, and (ii) downscaled predictions at 2x2 km grid and subsequently aggregated at original territorial units.
IMPROVED PERFORMANCE OF AGRICULTURAL EXTENSION AGENTS WITH INFRASTRUCTURAL FACILITIES AND TRAINING THROUGH JOB SATISFACTION

The research aims to find out whether there is any significant correlation between infrastructural facilities, training, and performance of agricultural extension agents, mediated by job satisfaction in the Agricultural Extension Office in Malang Raya. This research used a qualitative method. The data was collected using a questionnaire, and the technique used in taking the sample was saturation sampling. The sample comprised all agricultural extension agents who were also civil servants, who had working experience of a minimum of one year, and worked at the district-level agricultural extension office in Malang. The total respondents were 145 people. The data analysis was conducted using Partial Least Square (PLS) Method by employing the 3.0 SmartPLS program. The research results showed that all the hypotheses put forward were corroborated except the one dealing with infrastructural facilities. Infrastructural facilities did not have a significant effect on job satisfaction because their availability had not been considerably capitalized on in carrying out the agricultural extension. Besides, it was found that job satisfaction did not mediate the influence of infrastructure on the performance of the extension agents. Recommendations for research in the future on similar topics may use an additional comparison between the satisfaction of expert and skilled agricultural extension agents, and the research method may be developed using qualitative methods.
A Review of Capital Budgeting Techniques

Perhaps the single most important decision faced by management is the selection of investment projects that maximize the present value of shareholders‟ wealth. This paper is a review of the literature on capital budgeting procedures. Analytic techniques such as Net present value (NPV), Internal rate of return (IRR), Payback, Discounted Payback, Time-adjusted discounting, Accounting Rate of Return, Profitability Index and Modified IRR are reviewed here. Additional supplementary techniques, when some complexities relating to risk and uncertainty are involved, are also discussed. Results of field surveys are reported. In sum, the results suggest increased prominence of the NPV as an evaluation technique consistent with its much emphasized academic merit. In particular, the Graham and Harvey (2001) survey reveals that the likelihood of using specific evaluation techniques is linked to three factors namely firm size, firm leverage and CEO characteristics. The study recommends the use of real options techniques as they facilitate the linkage of financial objectives with corporate strategy in the ever-increasingly complex business environment.
Cardiovascular disease prediction using deep learning techniques

Cardiovascular Disease or coronary illness is one of the significant dangerous infections in India as well as in the entire world. It is estimated that 28.1 % of deaths occur due to heart diseases. It is also the major cause for significant number of deaths which as more than 17.6 million in the year 2016. So proper and timely diagnosis, treatment of such diseases require a system that can predict with precise accuracy and reliability. Intensive research is carried out by various researchers using diverse machine learning algorithms to forecast the heart disease taking different datasets which consists of different attributes that result in heart attack. In this paper we analyzed the dataset collected from kaggle which consists of attributes related to heart disease such as age, gender, blood pressure, cholesterol and so on. We have also investigated the accuracy levels of various machine learning techniques such as Support Vector Machines (SVM), K-Nearest Neighbor (KNN), Decision Trees (DT). The performance and accuracy of above algorithms is not so well when executed using large dataset, so here we tried to improving the prediction accuracy using Artificial Neural Network(ANN), Tensor Flow Keras.
Mineralogy and Permeability of Gas and Oil Dolomite Reservoirs of the Zechstein Main Dolomite Basin in the Lubiatów Deposit (Poland)

Permeability characterizes the ability of rocks to store and transport natural gas, crude oil and reservoir fluids. Permeability heterogeneity of reservoir rocks, including dolomites, results from overlapping geological and physicochemical processes. The permeability study of gas-bearing dolomites was carried out on the Lubiatów hydrocarbon deposit (Poland), located at the Ca2 carbonate platform toe-of-slope, which is a prospective area for hydrocarbon exploration in Europe. Due to the complicated rock textures and overlapping alteration processes, including secondary crystallization or dissolution of minerals, the permeability of the deposit is variable. Studies of dolomites from a depth of 3242–3380 m show high mineralogical diversity; the percentage of dolomite ranges from 79% to 95% with a variable content of other minerals: anhydrite, gypsum, quartz, fluorite, plagioclase and clay minerals. The porosity variability ranges from 4.69% to 31.21%, depending on the measurement method used. The mean permeability value is 35.27 mD, with a variation range of 0.9 to 135.6 mD. There is neither change in permeability with depth and mineral composition, nor a direct relationship between porosity and permeability.
Smart Water as Wettability Modifier in Carbonate and Sandstone: A Discussion of Similarities/Differences in the Chemical Mechanisms

Waterflooding has for a long time been regarded as a secondary oil recovery method. In the recent years, extensive research on crude oil, brine, and rock systems has documented that the composition of the injected water can change wetting properties of the reservoir during a waterflood in a favorable way to improve oil recovery. Thus, injection of “smart water” with a correct composition and salinity can act as a tertiary recovery method. Economically, it is, however, important to perform a waterflood at an optimum condition in a secondary process. Examples of smart water injection in carbonates and sandstones are: (1) injection of seawater into high temperature chalk reservoirs and (2) low salinity floods in sandstone reservoirs. The chemical mechanism behind the wettability alteration promoted by the injected water has been a topic for discussion both in carbonates and especially in sandstones. In this paper, the suggested mechanisms for the wettability modification in the two types of reservoir rocks a.
Modeling the Factors Influencing the Adoption of a Map-Based Disaster Application in Indonesia: A Case of SIKK Magelang

Indonesia has high exposure to natural hazards, frequent disaster events, and a highly vulnerable population. Hence, risk communication and disaster information dissemination are crucial to reducing risks. Numerous disaster mobile applications (apps) with location-based services or maps already exist for facilitating risk communication to the public; however, availability does not automatically translate into use or adoption. Therefore, to understand the factors influencing the adoption of a map-based disaster app, the factors that affect the adoption of a local government-initiated map-based disaster app in Indonesia, namely Sistem Informasi Kebencanaan Kabupaten Magelang, or Disaster Information System of Magelang Regency (SIKK Magelang), were examined through the theoretical lenses of a combined information system (IS) success model. Partial Least Squared – Structural Equation Modelling (PLS-SEM), with the help of Smart-PLS, was used to examine the hypothesized relationships among the proposed constructs (latent variables). Nine exogenous latent variables were proposed as the antecedents of intention to use a map-based disaster application (the endogenous latent variable), including information quality, system quality, familiarity with online maps, perceived usefulness, user satisfaction, facilitating conditions, risk perceptions, information seeking behavior, and perceived quality of the Internet connection. Information-seeking behavior was also predicted to be influenced by risk perception. A questionnaire survey with an app trial was conducted in Magelang Regency for data collection. The study results confirmed the applicability of the combined IS success model frameworks in predicting the adoption of this map-based disaster app by the public. Although new constructs representing disaster-related online maps and familiarity with those maps were initially proposed in the contextual model, the model validation results showed that intention to use SIKK Magelang was significantly influenced only by perceived usefulness and user satisfaction. Practically, this study’s results offer guidance to the local emergency managers in Indonesia, especially Magelang Regency, regarding how to develop strategies to increase the app’s adoption.
Aspect Meets Modality: A Semantic Analysis of the German Am-Progressive

This paper presents a corpus-based analysis of the semantics of the German am V-inf sein construction, or am-progressive. Like its English counterpart and many other progressive constructions in the world's languages, the am-progressive is shown to convey not only a variety of aspecto-temporal meanings, but also a range of (inter)subjective qualifications, such as intensification, irritation, and evasiveness. These (inter)subjective connotations are argued to reflect the am-progressive's core meaning of epistemic contingency, which we believe is instantiated in all of its uses. *
Are faults fractals ?

A universal scaling law would be imperative to understand the processes of the evolution of faults. Searching for these laws many different data sets have been analysed. Very often a power-law distribution is found, what indicates a fractal distribution. But in the examination of fault-sets from different geological and tectonic settings the calculated relations often deviate from this. Therefore it would be interesting to compare the results of different authors in the intention to understand the causes of the numerous differing results.
Stem Cells Harvested From Exfoliated Deciduous Teeth - A Review

Stem cells harvested from exfoliated deciduous teeth are a type of mesenchymal cells, serving its main purpose for regenerative treatment. They have lots of clinical applications. They are studied for their distinct proliferative properties. It helps in regeneration of tissues in the site of an injury and also helps in reducing the healing time of an injury. It also serves as the research interest for many because of its easy source of availability, extensive regenerative capacity and multiple lineage properties. This article is in the narrative format of previous research articles on stem cells exfoliated from deciduous teeth, which discusses various complex procedures associated with SHED like extraction, isolation, post extraction and banking of it mentioned from other articles as well. SHED has a lot of branches to be studied and understood deeply. So that they can be implemented for many human uses. It is used for future as well as diagnosis.
Detrital carbonate sedimentation of the Rocas Atoll, South Atlantic

Located 266 km offshore Brazilian coast, Rocas Reef complex is the only atoll in the South Atlantic. Two scientific expeditions carried out detailed sedimentological studies of the complex. Sand texture was dominant in the sedimentary environment, although other textures such as gravel, sandy gravel and gravelly sand, were also observed. Mean size ranged from fine sand to coarse sand (-1.23 to 2.34o), with an average value of 0.69o (sand fraction), which from a geological perspective represents a high-energy environment. The values of mean size varied in the different geomorphologic compartments, a response to variable hydrodynamics on the reef. Sorting ranged from very well sorted to poorly sorted, with a mean value of 0.97o (moderately sorted). The values of mean size and sorting are directly proportional (i.e. the larger the grain size, the better the sorting), a fact that might be controlled by the decreasing of organism diversity that contributes to the sedimentary environment as the mean size of the particles increase. Skewness parameter was used to correlate positive values to depositional environments. The Kurtosis parameter showed little relevance in this study. The sedimentary particles analyzed are exclusively composed of biogenic grains. In total eleven major groups were described, coralline algae being the most unusual.
Improved Understanding of Student Concepts and Skills in Volleyball Learning through Mobile Learning

The development of information systems that is increasingly influential in various aspects of life, one of which is the world of education. One result of the development of information technology that can be utilized in education is mobile learning (M-Learning). The use of M-Learning in volleyball learning at the elementary school level is still rarely developed and used. Though this media can be a means of supporting education can make the learning process active, creative and innovative. M-Learning can enhance learning activities so that it can foster enthusiasm and student motivation. This can help improve students' understanding and volleyball skills which include volleyball, service, passing, and set-up techniques. The research method used is a quasi-experimental method with a nonequivalent control group design. The results showed that M-Learning can improve student understanding and student skills in volleyball learning. M-Learning can improve learning communication between students, both with friends and teachers so that learning creates active and conducive relationships. This has an impact on increasing student motivation. This improvement can improve students' understanding and skills in volleyball learning.
Effects of Vitex doniana leaf extract on aluminium-induced toxicity in male albino Wistar rats -

ABSTRACT This study was conducted to determine the effect of ethanolic leaves extract of Vitex doniana on the toxicity induced by Aluminum Chloride in male albino Wistar rats. The study was designed to carefully observe the ameliorative effect of the extract on aluminum toxicity. A total of 15 male albino rats were used for the study and toxicity was induced using 100mg/kg body weight (bw) AlCl3. They were grouped into three groups of five rats each; normal control, AlCl3 control and AlCl3 + 100mg Vitex doniana respectively. The normal group was fed with standard rat chow only while the AlCl3 control group was orally administered with 100mg/kg bw AlCl3, and the AlCl3 + V.D group was orally administered with 100mg/kg bw extract following administration of AlCl3. The study was conducted for 7 days after which the effect of the extract was assessed following the animal sacrifice. Oral dose of 100mg/kg bw extract of Vitex doniana did not show any significant change in TBARS level of Liver and testes in the experimental groups while the AST, ALT and ALP levels in AlCl3 control and AlCl3 + 100mg Vitex doniana showed significant decrease (p
Rational Approximation on Exponential Meshes

Error estimates of pointwise approximation, that are not possible by polynomials, are obtained by simple rational operators based on exponential-type meshes, improving previous results. Rational curves deduced from such operators are analyzed by Discrete Fourier Transform and a CAGD modeling technique for Shepard-type curves by truncated DFT and the PIA algorithm is developed.
Influence of improved technology adoption on livelihoods of small ruminant farmers in Ghana

The study was conducted with the objective of finding how the adoption of small ruminant technologies affected the livelihood outcomes of small ruminant farmers in Ghana. Data collected using questionnaires which were triangulated with focus group discussions. A sample size of 180 small ruminant farmers comprising 141 men and 39 women was used. Socio-economic factors such as sex, age and contact with extension agents were observed to have significant effects on adoption. Also, a significant relationship was found between adoption and incomes, ability to afford school fees, payment of utility bills and access to veterinary drugs. There was also a significant relationship between adoption and food security and group membership. Adoption of improved technologies had influenced most of the livelihood outcomes of the farmers. It is recommended that extension officers continue to intensify education on the improved technologies so that more results can be obtained on livelihoods of the farmers.
Nocturnal sweating in obstructive sleep apnoea and its association with sleep parameters

Corresponding Author: Güray Koç E-mail: gurayerhan@gmail.com Submitted: 10 September 2018 Accepted: 30 January 2019 You may cite this article as: Koç G, Mehel Metin K, Akçay BD, Karadaş Ö, Sayın R, Yetkin S. Nocturnal sweating in obstructive sleep apnoea and its association with sleep parameters. Neurol Sci Neurophysiol 2019; 36(1): 51-6. Abstract Objective: Nocturnal sweating is a condition frequently encountered in obstructive sleep apnoea (OSA) patients. This study aimed to examine the relationship between nocturnal sweating and sleep parameters in patients with and without OSA.