Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Analysis of Modern and Traditional Sorting Algorithms for Optimizing Automobile Production Scheduling

This study's objective is to improve production scheduling for automobile manufacturing by analyzing how well modern sorting algorithms function within the framework of production planning. The performance of two modern sorting algorithms, namely Avi sort and RevWay sort, as well as two traditional sorting algorithms, namely Merge sort and Insertion sort, are compared in this study. The purpose of this study is to investigate the applicability and efficiency of these algorithms in the automotive industry, specifically in Indonesia. Synthetic data representing production planning scenarios are generated to analyze the algorithms' performance in terms of runtime and memory allocation. The results highlight the performance of Avi sort and RevWay sort in efficiently prioritizing tasks, allocating resources, and optimizing the production process. However, in general, they are outperformed by the best traditional sorting algorithms, Merge sort and Insertion sort. The findings provide valuable insights for compared sorting algorithms for the automotive industry to enhance production planning strategies, improve resource allocation, and increase overall productivity. Further research can explore additional factors such as shifts, breaks, and overtime, by continuously refining and incorporating advanced sorting algorithms to comprehensively optimize the production scheduling process in the automotive industry.
Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?

Yes, apparently they do. Previous research showed that shallow feed-forward nets sometimes can learn the complex functions previously learned by deep nets while using the same number of parameters as the deep models they mimic. In this paper we train models with a varying number of convolutional layers to mimic a state-of-the-art CIFAR-10 model. We are unable to train models without multiple layers of convolution to mimic deep convolutional models: the student models do not have to be as deep as the teacher model they mimic, but the students need multiple convolutional layers to learn functions of comparable accuracy as the teacher. Even when trained via distillation, deep convolutional nets need to be deep and convolutional.
Impact of different partition values on prevalences of left ventricular hypertrophy and concentric geometry in a large hypertensive population : the LIFE study.

Left ventricular (LV) hypertrophy and concentric remodeling have been defined by using a variety of indexation methods and partition values (PVs) for LV mass and relative wall thickness (RWT). The effects of these methods on the distribution of LV geometric patterns in hypertensive subjects remain unclear. Echocardiograms were obtained in 941 patients with stage I to III hypertension and LV hypertrophy by ECG. LV mass was calculated by using different methods of indexation for body size and different PVs to identify hypertrophy: LV mass/body surface area (g/m(2)) PV for men/women 116/104, 125/110, or 125/125; LV mass/height (g/m) PV 143/102 or 126/105; and LV mass/height(2.7) (g/m(2.7)) PV 51/51 or 49.2/46.7. RWT was calculated by either 2xend-diastolic posterior wall thickness (PWT)/end-diastolic LV internal dimension (LVID) or end-diastolic interventricular septum dimension+end-diastolic PWT/end-diastolic LVID. LV hypertrophy or remodeling was present in 63% to 86% of subjects, and LV hypertrophy was present in 42% to 77%. By any index, eccentric hypertrophy was the common LV geometric pattern. Use of interventricular septum dimension+PWT/LVID to calculate RWT slightly increased the prevalence of normal geometry and eccentric hypertrophy compared with the use of 2xPWT/LVID. Subjects with LV hypertrophy identified by only LV mass/height(2.7) PV 49.2/46.7 were more obese, whereas those identified by only LV mass/body surface area PV 116/104 were taller and thinner than those in the 2 concordant groups with or without LV hypertrophy by both criteria. By either criterion, there were no significant differences between different LV geometric patterns in clinical cardiovascular disease. Hypertensive patients with LV hypertrophy by ECG have a high prevalence of geometric abnormalities, especially eccentric hypertrophy, irrespective of method of indexation or PV. LV mass indexation by body surface area or height(2.7) identifies lean and obese subjects, respectively. We found no difference in prevalent cardiovascular disease in subjects identified by either criterion, suggesting a similar high risk.
Reassessing the Potential Contribution of Communications Research to Communications Policy: The Case of Media Ownership

This article examines how the contemporary communications policy-making environment (particularly in relation to media ownership) is one in which communications research can play an increasingly influential role. This article explores how the expanded analytical perspective being brought to bear on the media ownership issue is conducive to greater contributions from communications research. Specifically, this article illustrates how policymakers' efforts to assess the importance of individual media outlets in local media markets from a view-point diversity standpoint raise a host of analytical issues toward which a broad range of communications research traditions can make significant contributions.
Cutting a Long Story Short? The Clinical Relevance of Asking Parents, Nurses, and Young Children Themselves to Identify Children's Mental Health Problems by One or Two Questions

Background and Aims. Assessing young children's mental health is a crucial and challenging task. The aim of the study was to evaluate the clinical relevance of asking parents, nurses, and young children themselves to identify children's mental health problems by only one or two questions. Methods. In regular health check-ups of 4- to 9-year-old children (n = 2682), parents and public health nurses assessed by one question whether the child had any emotional or behavioral difficulties. The child completed a self-evaluation enquiry on his/her emotional well-being. A stratified proportion of the participating parents were invited to a diagnostic interview. Results. Sensitivities were fairly good for the parents' (68%), nurses' (65%), and their combined (79%) one-question screens. Difficulties identified by parents and nurses were major risks (OR 10–14) for any child psychiatric disorders (P < 0.001). The child's self-evaluation was related to 2-fold to 3-fold risks (P < 0.05) for any psychiatric diagnosis, for any emotional diagnosis, and for negative situational factors. Conclusion. The one-question screen for parents and public health nurses together quite adequately identified the young children with mental health problems. The child's self-evaluation provided relevant and complementary information on his/her mental health and especially emotional problems.
EFFECTS OF TWO CLASS III TREATMENTS ON TMD classified as orthodontic treatment [ facemask , modified

Temporomandibular disorders (TMDs) are a common condition that involves problems related to the temporomandibular joint (TMJ), masticatory muscles, and associated structures. Epidemiologic research has shown that TMD occurs in children as well as in adults, and several studies have investigated the prevalence of TMD in children. TMD in various populations has been reported to be between 17 and 90 per cent (Egermark-Eriksson et al., 1981, 1983; Nilner and Lassing, 1981; Lieberman et al., 1985; Kirveskari et al., 1992; Kritsinelli and Shin, 1992; Keeling et al., 1994; Deng et al., 1995; Sönmez et al., 2001; Thilander et al., 2002). TMD prevalence varies according to age, number, diagnostic method, and diagnostic criteria of the investigated individuals (Deng et al., 1995; Thilander et al., 2002). It is difficult to isolate a single factor or to evaluate individual factors in the aetiology of TMD. Accordingly, TMD is considered to be a disorder with a multifactorial and complex aetiology (Greene, 2006; Okeson, 2008). A diagnosis of TMD can be established via clinical examination and imaging. The Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD; Dworkin and LeResche, 1992) is an index frequently used in The effects of two methods of Class III malocclusion treatment
Multiple networks of public school administrators: An analysis of network content and structure

This study examines a public school administrator network from a qualitative paradigm using network theory and methods. Findings identify and describe four distinct networks emerging from administrators’ relationships: the innovation network, the resource network, the social/emotional support network, and the university–school partnership network. Findings suggest that educational leaders do not have just one network, but rather use multiple networks to achieve their organizational objectives. Strategic implications of the structure of these networks and an educational leader’s position within these networks are discussed.
Unlikely Friends? Oprah Winfrey and Restorative Justice

Abstract In recent years, restorative justice has surfaced as a new criminal justice practice in diverse parts of the world. Often, it appears that these practices have emerged in complete isolation from one another. This prompts us to question what it is that has allowed restorative justice to become an acceptable way of dealing with criminal justice issues, or in Foucault's terms, the ‘conditions of emergence’ of restorative justice. This article explores one of numerous potential ‘conditions of emergence’ of restorative justice — the discourses of the ‘therapeutic’, ‘recovery’, ‘self-help’ and ‘New Age’ movements. It aims to investigate the ways in which the taken-for-granted nature of these discourses have, in part, permitted restorative practices to become an approved way of ‘doing justice’.
A CASE STUDY OF FORMATIVE ASSESSMENT IN A CHINESE HIGH SCHOOL

Abstract: Nowadays in China, high school assessment is based solely on academic examination scores, which take the place of well-rounded assessments that should be given to students. The present assessment ignores the differences among individuals and goes against a people-oriented spirit; thus, it is not scientific. This one-sided assessment has caused many negative effects on students and society, and it is not beneficial to students’ well-being. The author performed a study on a formative assessment method using a Portfolio for keeping a record of English learning while growing up to change the present situation of students being tired of study due to low scores. The assessment allows students to understand that their low scores are not because they lack a gift for learning languages, but because they themselves think they lack the ability to learn a foreign language, which leads to their unwillingness to learn English (Ames 1992; Vispoel & Austin 1995). The research examines 122 year-11 senior middle school students’ views of the formative assessment method and their improvement in examination scores through the assessment over a period of one to two years. Qualitative and quantitative data were gathered via a questionnaire and interviews. All the data show and prove that the students who have been assessed using formative assessment enjoy going to school and have made more progress than those assessed using summative assessment. This assessment has been warmly welcomed by students, whether they are at a higher or a lower English level.
Using discourse analysis to study the experiences of women with learning disabilities

There has been a steady rise in interest in qualitative research methods in the area of learning disability over recent years. Discourse analysis has found relatively little use though, particularly in studying the experiences of people with learning disabilities directly, rather than the accounts of non-disabled informants. The present study used a discourse analytic approach in examining the accounts of women with learning disabilities, in order to arrive at an understanding how they position themselves in relation to gender and disability. The results indicate that, while the learning disability literature and services are largely ‘gender blind’, for women with learning disabilities gender and disability cannot be separated. Instead, they may be faced with marked contradictions and dilemmas when they position themselves within dominant discourses of gender, while also subject to powerful discourses of disability.
Stability and stabilization of fuzzy time-delay systems

In this paper, we consider the stability and stabilization of Takagi-Sugeno fuzzy time-delay systems. It is well-known that Takagi-Sugeno fuzzy systems approximate nonlinear systems and they can even describe a certain class of nonlinear systems exactly. On the other hand, time-delay systems appear in many practical systems and mathematical formulations. Thus Takagi-Sugeno fuzzy time-delay systems describe a wide class of nonlinear systems. For these fuzzy time-delay systems, we first make stability analysis and obtain sufficient conditions for the stability. Sufficient conditions we obtain here depend on the maximum value of time-delay and are given in linear matrix inequalities (LMFs). Next, we consider the stabilization problem. Based on the stability conditions, we obtain time-dependent sufficient conditions for the closed-loop system to be stable, and give a design method of stabilizing controllers. Furthermore, we consider the stability and stabilization for Takagi-Sugeno fuzzy neutral systems. Descriptor system approach is taken to analyze the stability and stabilization of fuzzy neutral systems. Similarly, we obtain time-dependent sufficient conditions for the stability of neutral systems. We also obtain sufficient conditions on the stabilization of neutral systems.
Assessing the Robustness of Machine Learning Algorithms for Cardiovascular Disease Detection Across Diverse Clinical Datasets

Cardiovascular diseases (CVD) continue to pose significant health risks globally, accentuating the need for early and precise detection mechanisms. With the evolution of computational methods in healthcare, machine learning offers transformative solutions for diagnostic accuracy. This research aims to identify an algorithm with consistent performance across multiple datasets for potential integration into a cardiac disease prediction platform. We examined nine prominent machine learning algorithms, namely Support Vector Machine (SVM), Gradient Boosting (GB), Random Forest (RF), Logis-tic Regression (LR), Decision Tree (DT), K-Nearest Neigh-bor (KNN), Naive Bayes (NB), Extreme Gradient Boosting (XGBoost), and Multilayer Perceptron (MLP), and evalu-ated their predictive performance across two heterogeneous datasets. Both datasets encompass 14 attributes but differ in instance sizes: 303 and 1025, respectively. Through a meticulous methodological framework, the data underwent preprocessing, splitting, and model training, followed by validation using metrics such as Precision, Recall, F1 score, and Accuracy, coupled with a confusion matrix for detailed class-based evaluation. Our findings revealed that the Random Forest and MLP algorithms exhibited superior consistency and robustness in disease prediction across both datasets, achieving a peak accuracy of 95.14%. While XGBoost performed proficiently on one dataset, its performance wavered in a cross-dataset scenario. Based on these findings, either the Random Forest or Multilayer Perceptron models are recommended for developing a robust heart disease prediction system. This research not only affirms the potential of machine learning in revolutionizing CVD diagnostics but also underscores the importance of algorithm selection based on dataset characteristics.
Biased Discriminant Analysis With Feature Line Embedding for Relevance Feedback-Based Image Retrieval

The focus of content-based image retrieval (CBIR) is to narrow down the gap between low-level image features and high-level semantic concepts. In this paper, a biased discriminant analysis with feature line embedding (FLE-BDA) is proposed for performance enhancement in relevance feedback schemes. Maximizing the margin between relevant and irrelevant samples at local neighborhoods was the aim in this study. In reduced subspace, relevant images and query images can be quite close, while irrelevant samples are far away from relevant samples. The results of four benchmark datasets are given to show the performance of the proposed method.
Physical and Physiological Demands of Experienced Male Basketball Players During a Competitive Game

Abstract Puente, C, Abián-Vicén, J, Areces, F, López, R, and Del Coso, J. Physical and physiological demands of experienced male basketball players during a competitive game. J Strength Cond Res 31(4): 956–962, 2017—The aim of this investigation was to analyze the physical and physiological demands of experienced basketball players during a real and competitive game. Twenty-five well-trained basketball players (8 guards, 8 forwards, and 9 centers) played a competitive game on an outdoor court. Instantaneous running speeds, the number of body impacts above 5 g, and the number of accelerations and decelerations were assessed by means of a 15-Hz global Positioning System accelerometer unit. Individual heart rate was also recorded using heart rate monitors. As a group mean, the basketball players covered 82.6 ± 7.8 m·min−1 during the game with a mean heart rate of 89.8 ± 4.4% of maximal heart rate. Players covered 3 ± 3% of the total distance running at above 18 km·h−1 and performed 0.17 ± 0.13 sprints per minute. The number of body impacts was 8.2 ± 1.8 per minute of play. The running pace of forwards was higher than that of centers (86.8 ± 6.2 vs. 76.6 ± 6.0 m·min−1; p ⩽ 0.05). The maximal speed obtained during the game was significantly higher for guards than that for centers (24.0 ± 1.6 km·h−1 vs. 21.3 ± 1.6 km·h−1; p ⩽ 0.05). Centers performed a lower number of accelerations/decelerations than guards and forwards (p ⩽ 0.05). In conclusion, the extraordinary rates of specific movements performed by these experienced basketball players indicate the high physiological demands necessary to be able to compete in this sport. The centers were the basketball players who showed lower physiological demands during a game, whereas there were no differences between guards and forwards. These results can be used by coaches to adapt basketball training programs to the specific demands of each playing position.
The Automated Palomar 60 Inch Telescope

We have converted the Palomar 60 inch (1.52 m) telescope from a classic night‐assistant‐operated telescope to a fully robotic facility. The automated system, which has been operational since 2004 September, is designed for moderately fast (t≲3 minutes) and sustained (R≲23 mag) observations of gamma‐ray burst afterglows and other transient events. Routine queue‐scheduled observations can be interrupted in response to electronic notification of transient events. An automated pipeline reduces data in real time, which is then stored on a searchable Web‐based archive for ease of distribution. We describe here the design requirements, hardware and software upgrades, and lessons learned from roboticization. We present an overview of the current system performance as well as plans for future upgrades.
Corruption and Economic Development : Evidence from Nigeria

Corruption has affected many countries all over the world especially the developing countries. It has various implications for both the developed and developing economies. Corruption hampers development and thus raises the level of poverty in any economy that finds itself entrenched in corrupt practices. Corruption creates uncertainty and risk in the growth and development potential of any country. The study investigated the impact of corruption on economic development in Nigeria. Secondary data were sourced from World Bank reports on Nigeria and corruption reports from transparency international on Nigeria. The data were analysed using the Ordinary Least Square (OLS) regression technique. Hypothesis tested with respect to Corruption Perception Index (CPI) was not accepted implying that the tests were statistically significant, meaning that Corruption Perception Index (CPI), a proxy for corruption in this research negatively affects economic development. On the other hand, the hypothesis tested on the Corruption Rank (CR) of Nigeria and Relative Corruption Ranking (RCR) of Nigeria among countries under review was not accepted meaning that the relative position of Nigeria among countries under review and Nigeria’s rank on corruption cadre is also statistically significant. The findings show that corruption has a significant negative effect on economic growth and development. It is recommended that the Nigerian government should employ the strict application of anti-corruption codes as stipulated in the legislations that created the anticorruption agency without prejudice or double standard irrespective of the culprit’s stature or position in the society. Transparency, accountability and the application of the rule of law in dealing with corrupt government officials and politicians can lead to improved CPI ranking, induce investment, and foster economic growth and development.
White matter lesions impair frontal lobe function regardless of their location

Objective: To analyze the effect of white matter lesions in different brain regions on regional cortical glucose metabolism, regional cortical atrophy, and cognitive function in a sample with a broad range of cerebrovascular disease and cognitive function. Methods: Subjects (n = 78) were recruited for a study of subcortical ischemic vascular disease (SIVD) and Alzheimer disease (AD) contributions to dementia. A new method was developed to define volumes of interest from high-resolution three-dimensional T1-weighted MR images. Volumetric measures of MRI segmented white matter signal hyperintensities (WMH) in five different brain regions were related to regional PET glucose metabolism (rCMRglc) in cerebral cortex, MRI measures of regional cortical atrophy, and neuropsychological assessment of executive and memory function. Results: WMH was significantly higher in the prefrontal region compared to the other brain regions. In all subjects, higher frontal and parietal WMH were associated with reduced frontal rCMRglc, whereas occipitotemporal WMH was only marginally associated with frontal rCMRglc. These associations were stronger and more widely distributed in nondemented subjects where reduced frontal rCMRglc was correlated with WMH for all regions measured. In contrast, there was no relationship between WMH in any brain region and rCMRglc in either parietal or occipitotemporal regions. WMHs in all brain regions were associated with low executive scores in nondemented subjects. Conclusions: The frontal lobes are most severely affected by SIVD. WMHs are more abundant in the frontal region. Regardless of where in the brain these WMHs are located, they are associated with frontal hypometabolism and executive dysfunction.