Miracle-dz/UniFAR-FTUs huggingface dataset:
Edinburgh Research Explorer Access to and experience of later abortion

i.e., at 16 or more weeks’ gestation) in Scotland. Participants were women who sought an abortion at a participating National Health Service clinic between January and July 2013. Interviews addressed reasons for and consequences of later presentation, as well as women’s experiences of abortion. Thematic analysis attended to emerging issues and employed the conceptual tool of candidacy. RESULTS: Delayed recognition of pregnancy, changed life circumstances and confl icting candidacies for motherhood and having an abortion were common reasons for women’s presentation for later abortion. Women perceived that the resources required to travel to England for a later abortion were potential barriers to access, and felt that such travel was distressing and stigmatizing. Participants who continued their pregnancy did so after learning they were at a later gestational age than expected or after receiving assurances of support from partners, friends or family. CONCLUSIONS: Reasons for seeking later abortion are complex and varied among women in Scotland, and suggest that reducing barriers to access and improving local provision of such abortions are a necessity. The candidacy framework allows for a fuller understanding of the diffi culties involved in obtaining abortions.
: The Chomskyan hammer and the Skinnerian nail

The target article signal boosts important ongoing work across the cognitive sciences. However, its theoretical claims, generative value, and purported contributions are – where not simply restatements of arguments extensively explored elsewhere – imprecise, noncommittal, and underdeveloped to a degree that makes them difficult to evaluate. The article ’ s apparent force results from engaging with straw rather than steel opponents.
Leading With Happiness; Analysing The Effect Of Leaders' Humour Styles On Employees' Creativity

The aim of this paper is to study the effects of the four styles of leaders’ humor (Affiliative humor style, Self-enhancing humor style, Aggressive humor style and Self-defeating humor style) on employees’ creativity. This study was intended to examine the effects of leaders’ humor styles on employees’ creativity in the dynamic and creative environment of the organizations of IT industry. A total of 111 out of over 500 people who are working as a manager in Software Houses took part in this research. The technique used for sampling is Simple Random Sampling as it is feasible for time and cost and its accurate representation of the larger population. The data collection process was self-administered and self-distributed. The results of the study have revealed that the affiliative humor style used by leaders will have a positive and significant effect on employees’ creativity, Self-Enhancing humor, being humor, is used to enhance the self thus having no significant effect on employees’ creativity. While Aggressive humor style and Self-defeating humor style, being negative styles do not encourage employees to think creatively. the study recommend future research might examine the individual differences associated with different types of leader and follower humor. While gender has been associated with different humor preferences, less information is known about other characteristics that might be relevant.
Sweep Interpolation: A Fourth-Order Accurate Cost Effective Scheme in the Global Environmental Multiscale Model

The interpolation process is the most computationally expensive step of the semi-Lagrangian (SL) approach for solving advection which is commonly used in numerical weather prediction (NWP) models. It has a significant impact on the accuracy of the solution and can potentially be the most expensive part of model integration. The sweep algorithm, which 10 was first described by Mortezazadeh and Wang (2017), performs SL interpolation with the same computational cost as a third order polynomial scheme but with the accuracy of a fourth order interpolation scheme. This improvement is achieved by using two 3rd-order backward and forward polynomial interpolation schemes in two consecutive time steps. In this paper, we present a new application of the sweep algorithm within the context of global forecasts produced with Environment Climate Change Canada’s Global Environmental Multiscale (GEM) model. Results show that the sweep interpolation 15 scheme is computationally more efficient compared to a conventional fourth order polynomial scheme, especially evident for increasing number of several advected several passive tracers. An additional advantage of this new approach is that its implementation in a chemical and weather forecast models requires minimum modifications of the interpolation weighting coefficients. An analysis of the computational performance for a set of theoretical benchmarks as well as a global ozone forecast experiment show that up to 15% reduction in total wall clock time is achieved. Forecasting experiments using the 20 global version of the GEM model and the new interpolation show that the sweep interpolation can perform very well in predicting ozone distribution, especially in the tropopause region where transport processes play a significant role.
The Emotional Intelligence Elements and Job Performance among Trainers at the Malaysian Technical Education Institutions

: This article attempts to propose a framework on the relationship between emotional intelligence elements with the job performance among technical trainers. Through an extensive review on the literature, this study found that the elements of the emotional intelligence have been considered as the main things in boosting job performance. Nowadays, the technical skills are important in increasing the labor sources in Malaysia. Consequently, technical trainers play important roles to prepare skill workers to the labor market. Relating to this, the technical trainers in teaching process should know how to handle the emotional intelligence in order to maintain quality of job performance. Hence, this study will be conducted on how the emotional intelligence elements can contribute to job performance among technical trainer. The technical trainer’s job performance will give an impact towards on students learning outcomes. Previous research found that the critical elements of emotional intelligence are self-motivation, self-regulation, self-awareness and social skills.
A Spinifex Rock from Munro Township, Ontario

The textural and compositional characteristics of a spinifex rock (MS-1) from Munro township, Ontario have been investigated in some detail. When projected into Mg–CaO–Al2O3 and CaO–MgO–FeO space, MS-1 appears late in the fractionation trends for peridotites, associated spinifex rocks and high Mg basalts. The latter trend extrapolates almost linearly to olivine tholeiite compositions.There are two types of blade megacrysts in the rock, both apparently representing preexisting olivine: (1) an earlier phase of composite, skeletal platy crystals of clinochlore, about 10 × 10 × 0.5 mm in size, which have a preferred orientation in the rock and show pronounced parallel growth development in the plane of the blades. The clinochlore is crystallographically related to the host olivine with c* and [100] parallel to a and b axis of olivine, respectively; (2) sheafs of oriented skeletal plates about 0.1 mm in shortest dimension which are completely altered to chlorite, calcite, magnetite and amphibole. The appearanc.
APPLICATION OF MACHINE LEARNING FOR ASSESSING MOVEMENT DISORDERS

Movement disorders affect many people globally. A patient with Parkinson's Disease, for example, may exhibit impaired gait and have other difficulties with movements. The purpose of this project is to provide a proof of concept for a machine learning-enabled analysis that can automatically assess and track aspects of movement disorders such as Parkinsonian gait from a simple video. We created a small video database of non-symptomatic (NS) and simulated symptomatic (SS) movements. We used OpenPose, a pose detection software to detect the different key body parts of a patient in each frame of the video, and the output from OpenPose to further compare NS and SS movements quantitatively. Our results indicate that a combination of a pose detection algorithm and other statistical and machine learning techniques can yield an above-chance detection of movement difficulties. Our code can be found here: https://github.com/nrush23/Machine-Learning-2022.git
Novel Wireless Sensor Network Intrusion Detection Method Based on LightGBM Model

—Wireless sensor networks suffer from a lack of resources. To address the issue, this research provides a wireless sensor network intrusion detection method based on LightGBM. The SMOTE-Tomek approach is used to balance the dataset in the data preparation step to overcome the problem of data imbalance in WSNs intrusion. A feature selection approach is proposed to avoid excessive resource usage and enhance the model's prediction performance. The precise procedure is as follows. Firstly, LightGBM is used to create an iterative lifting tree model and then SHAP is used to determine the relevance of features. Finally, the Recursive Feature Elimination technique is employed in the selection of features. To identify the best-suited settings, the Optuna algorithm with the CMA-ES sampler is utilized to tweak model parameters. The WSN-DS data collection is being used to investigate intrusion detection in wireless sensor networks. In order to assess the model's performance, we compare it to models generated by standard methods. The proposed model outperforms previous models in many predicted performance measures, and the detection rate of each attack type is enhanced to more than 99% according to experimental data. The modeling time is decreased by 46% when compared to the dataset without feature dimension reduction. The suggested approach may efficiently identify network assaults and improve network security.
Unlocking Organizational Sustainability: The Role of Talent Management through the Lens of the AMO Theory

Organizational sustainability has replaced the concept of organizational performance in the corporate era. Organizations are keener towards social, economic, and environmental performance than just financial performance. Corporations and researchers explore different subjects and departments to attain organizational sustainability. HRM is also a topic of interest to improve sustainability performance. The AMO theory is widely recognized as a robust framework within the Human Resource Management (HRM) field that offers valuable guidance for achieving improved sustainable performance. The main objective of this study was to investigate the theoretical foundations of the AMO theory concerning the many aspects of Talent Management, with the ultimate goal of achieving organizational sustainability. In order to achieve the aim of the study, a comprehensive examination of existing literature was undertaken to provide a theoretical framework. This conceptual paradigm comprises three phases: ability, motivation, and opportunity. Various Talent Management dimensions were supported by antecedent research to achieve organizational sustainability. Even though this concept establishes fundamental guidelines, pertinent knowledge must be considered to reconcile these procedures in various circumstances. This article provides an in-depth discussion of the AMO Theory to attain organizational sustainability in various aspects. A constructive framework was developed to create organizational sustainability by incorporating Talent Management into the context of the AMO theory. In this study, both theoretical and practical implications are discussed.
Aalborg Universitet Model-Based Predictive Control Scheme for Cost Optimization and Balancing Services for Supermarket Refrigeration Systems

A formulation of model predictive control for supermarket refrigeration systems is proposed to facilitate the regulatory power services as well as energy cost optimization of such systems in the smart grid. Nonlinear dynamics existing in large-scale refrigeration plants challenges the predictive control design. It is however shown that taking into account the knowledge of different time scales in the dynamical subsystems makes possible a linear formulation of a centralized predictive controller. A realistic scenario of regulatory power services in the smart grid is considered and formulated in the same objective as of a cost optimization one. A simulation benchmark validated against real data and including significant dynamics of the system is employed to show the effectiveness of the proposed control scheme.
The OMPS Limb Profiler instrument: two-dimensional retrieval algorithm

An alternative algorithm is being developed to retrieve ozone vertical distribution information from the OMPS/LP sensor which will be manifested on the upcoming NPOESS Preparatory Project (NPP) platform in late 2011. In contrast to most limb sensors retrieval methods, the proposed algorithm will forgo the spherical symmetry assumption for the atmospheric structure, and will attempt to simultaneously retrieve the ozone distribution in both the vertical and the along-track directions. The paper describes the two-dimensional forward model as well as the methods which have been developed to simultaneously retrieve a whole orbit of data. Sample retrieval results are shown to illustrate the technique.
An Application Of Burrxii-Dal And Weibull-Dal Distributions To Investigates Bank Customers Waiting Time

Background: Data distribution is highly complex and needed a more authentic method to determine by using different distribution models. BURRXII-DAL and WEIBULL-DAL distributions are one if the main models that are used. Objective: The purpose of the study is to determine application of BURRXII-DAL and WEIBULL-DAL distributions to investigates bank customers waiting time by using different parameters and there comparison with other models. Methods: BurrXII-DAL and W-DAL distributions each with five parameters are two new lifetime models created from distributions of Burr-G and Weibull-G family. “Burr-XII DAL was compared to six models, which included Kumaraswamy generalised power Weibull (KwGPW, BENH, EGPW, GPW and NH), Beta Exponentiated Nadarajah Haghighi (BENH) and Exponentiated Generalized Power Weibull (EGPW)”. “Weibull -DAL's fit to Weibull Dagum (WDa), Weibull power function (WPF), Weibull Lomax (WLx), generalised power Weibull (GPW), Nadarajah Haghighi (NH), Beta Weibull (BW), and Kumaraswamy Weibull (KwW) distributions”. “One genuine data set is used to test the efficiency of distribution”. “R packages like BFGS (Broyden-Fletcher-Goldfarb-Shanno), SANN (Simulated-Annealing) and NM (Nature-Methods-Methods) are used to process MLEs and the goodness of fit measures containing statistics Criterion such as Akaike
Green Performance and Technological Competence of Human Resources Based on Industrial Revolution 4.0

Objective: The industrial revolution has changed the way humans work into automation/digitalization through innovations. Industry players play an active role as organizational entities that have a vision in achieving profits. The industrial revolution 4.0 which adopts the green concept has an impact on strategic transformation in the performance and technological competence of human resources. Green performance requires personal characteristics that are oriented towards the sustainability of the industrial environment and mastery of green technology. Methodology: This research is qualitative research in the characteristic of library research, namely a series of activities related to library data collection methods, the research model uses an analytical descriptive method because this method is used to examine ongoing events and relate to current conditions. The initial article search returned as many as 90 articles. Furthermore, the selected articles were selected according to the research objectives by reading the title and abstract. The result is that the number of articles is 30 articles. The researcher chose again from 30 articles based on four focus research questions, and in the end, a total of 20 articles were reviewed. Results: The results indicate that the existence of an industrial revolution has advantages in developing competence and reducing consumption because, in this instance, there are prospects for e-commerce and the development of a digital green economy for industry players. Human resources and the industrial environment can both perform better when using green practices. To enable sustainable green innovation, green performance has to improve its technological proficiency. A rich society in development will result from the industrial revolution 4.0's synthesis, and people who live sustainably will be of the finest quality. Implication: The implications of this research provide valuable insights for green industry managers to formulate strategies and policies for transforming green technology competencies into green performance in industrial environments. This study is very useful for practitioners by identifying the benefits of linkage action between planned or realized green performance and green technology in the industry. This article provides a valuable reference for business players to consider implementing a green performance system that combines all communication, collaboration, critical thinking, creative, innovative skills in using resources and efficiency of natural resources.
An Empirical Study Of Machine Learning Regression Models to Predict Health Insurance Cost

Medical expenses are a substantial ongoing expense in human existence. When insurance members become ill or have an accident, health insurance firms guarantee that their health costs will be covered. This paper examines personal health data in order to estimate insurance premiums for people. The effectiveness of several machine learning regression algorithms in estimating the cost of medical insurance is reviewed, as well as the factors that influence the cost of health insurance. Linear, Ridge, Lasso, and Polynomial regression techniques were employed in the investigation. The results of the experiments demonstrate that polynomial regression is the best method for forecasting the cost of health insurance.
Evaluation of non-genetic factors on semen production potential of Surti bulls under semi arid conditions

: Evaluation of non-genetic factors on semen production potential of bulls on 379 ejaculates from Surti maintained at Frozen Semen Bank (FSB), India for the period of two years from 2017-18 was analyzed. The Semen characteristics were drawn from Information Network for Animal Productivity & Health (INAPH) application maintained at FSB, Bassi, jaipur and National Dairy Development Board (NDDB). Data revealed that average semen volumes were 2.32±0.06 mL, Motility 69.11±0.38, Concentration 1027.80±28.82, Total Ejaculation Volume 27.72±0.17, Semen Concentration Per Dose 20.45±1.28, Post Thaw Motility 49.85±0.16 in Surti. Non genetic factors viz. season, period, breed, order and age of bulls showed a significant difference in the various semen parameters. Seasonal analysis revealed autumn and winter as favorable seasons for higher quantity and quality semen production with a significant difference. Also, significant difference in ejaculation order in descending order was reported. Surti may be considered as a preferred breed in the semi arid conditions of the state.
NOTES AND CORRESPONDENCE Measurements of the Skin Temperature on Small Lakes

An apparatus to measure the skin temperature and related variables on inland lakes is described. The apparatus is a transparent frame with sensors to measure the skin and bulk water temperature, the wind velocity, and the air temperature and humidity for periods of several days. The sensors are positioned within 1 m of the air–water interface and sample boundary layer variables every 2 s. Data for a 4-h period at midday are discussed, and the vertical fluxes of heat and momentum are calculated using bulk relationships for 1-and 5-min periods. It is shown that the measured water temperature at a depth of 1 cm correlates well with estimates based on the bulk heat flux. The skin temperature depression is calculated from the bulk heat and momentum fluxes and is found to vary between 0.4° and 0.5°C for the 4-h period and was in good agreement with the measured values. However, the calculated and measured skin temperatures were poorly correlated for both the 1-and 5-min averages. This is believed to be due to departures from the steady-state assumptions or to deficiencies in the theory.
Eﬀicient enumeration of graph orientations with sources

An orientation of an undirected graph is obtained by assigning a direction to each of its edges. It is called cyclic when a directed cycle appears, and acyclic otherwise. We study efficient algorithms for enumerating the orientations of an undirected graph. To get the full picture, we consider both the cases of acyclic and cyclic orientations, under some rules specifying which nodes are the sources (i.e. their incident edges are all directed outwards). Our enumeration algorithms use linear space and provide new bounds for the delay, which isthemaximumelapsedtimebetweentheoutputofanytwoconsecutivelylistedsolutions. We obtain a delay of O ( m ) for acyclic orientations and ˜ O ( m ) for cyclic ones. When just a single source is specified, these delays become O ( m · n ) and O ( m · h + h 3 ), respectively, where h is the girth of the graph without the given source. When multiple sources are specified, the delays are the same as in the single source case.
Study of Pyrite Typomorphic Characteristics of Wulong Quartz-Vein-Type Gold Deposit in Dandong, Liaoning Province, China

Wulong quartz vein type gold deposit is located in Dandong City, Liaoning Province, China It is a magmatic hydrothermal deposit enclosed in mylonite or ultramylonite The deposit is controlled by Jixingou Fault (F 2 ) and No 100 Fault (F 3 ) In this paper the authors studied minutely the occurrences, shapes, compositions and their typomorphic ratios (Fe/(S+As),Co/Ni,S/Se), sulfur isotopes, thermoelectric coefficients of the pyrites in Wulong quartz vein type gold deposit, analyzed the pyrite typomorphic coefficient characteristics, sumed up the pyrite genesis and prospecting typmorphic characteristics, took out the major genesis and prospecting information of the pyrite, prognosticated firstly mineralization perspective of the depth in the ore area and the quartz vein in outer target area by using the triangle illustration of the pyrite composition characteristic,which not only provided reliable mineralogy basis for the genesis of Wulong gold deposit, but also given efficient evaluation for prospecting assessment of the depth in the ore area and the quartz vein in outer target area The authors consider that Wulong gold deposit is mesogene and hypergene magmatic hydrothemal deposit It is very good for prospecting assessment of the depth in Wulong ore area and No 220 vein, No 38 vein, No 2 vein in outer target area