Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulated Six Sigma: A multi response optimization

Abstract Six Sigma is widely used in many industries for the purpose of improving process performance. Typical improvements sought in Six Sigma projects include decreased operational cost, increased customer satisfaction, decreased cycle time, and enhanced profits, but regardless of the nature of the improvement, all projects follow the “Define-Measure-Analyze-Improve-Control” (DMAIC) methodology. This paper proposes the use of simulation and multi response optimization in addition to other typical Six Sigma tools in order to arrive at optimum performance at the end of each project through an established optimization framework. The framework is used in a real case study performed at a global logistics company. The case study is concerned with an e-commerce logistics station located at John F. Kennedy airport (JFK) in New York; a station that suffers from low on-time delivery performance and high operational cost. As result, a Six Sigma project was implemented and the process was simulated to reveal various scenarios suggested by the Six Sigma team in order to optimize the process. The project resulted in 65 percent reduction in labor, 41 percent reduction in work in process (WIP) and 55 percent reduction in average time packages spend at the station. These improvements highly support the effectiveness of implementing Six Sigma projects in the format suggested.
Depiction of Acute Stroke Using 3-Tesla Clinical Amide Proton Transfer Imaging: Saturation Time Optimization Using an in vivo Rat Stroke Model, and a Preliminary Study in Human

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. This work was supported by the Advanced MRI in Neuroradiology study group at the Korean Society of Magnetic Resonance in Medicine (KSMRM). This study was supported by a grant (2016-690) from the Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea. Received: February 23, 2017 Revised: March 20, 2017 Accepted: March 28, 2017
Sexual Function and Quality of Life in Patients Affected by Deep Infiltrating Endometriosis: Current Evidence and Future Perspectives

Endometriosis is one of the most common gynecological diseases and has an incidence of approximately 6%-10% in women of reproductive age. Deep infiltrating endometriosis (DIE) is considered the most aggressive form of endometriosis and is defined as a lesion that penetrates for more than 5 mm under the peritoneal surface. It has been demonstrated that DIE is associated with pelvic pain symptoms, and the intensity of pain is correlated with the depth of infiltration. Other symptoms are dysmenorrhea, deep dyspareunia, and painful defecation and urination. These symptoms are strongly associated with a significant reduction of the quality of life and a marked impairment of sexual function in the affected women. Therefore, a multidisciplinary approach and psychological support for women affected by DIE appear mandatory in order to reduce the impact of the disease on quality of life and sexual function as much as possible.
Architectural, indoor environmental, personal and cultural influences on students’ selection of a preferred place to study

This paper aims to better understand the human inhabitation of buildings through an investigation of the influences of architectural order, indoor environmental as well as personal and cultural variables on student’s selection of a preferred place to study. The approach for this interdisciplinary inquiry is based on Integral Sustainable Design in combination with a simplified version of Integral Methodological Pluralism using methodologies from the disciplines of architectural design, architectural science and psychology. The results indicate that participant’s preferences emerged out of either personal or collective cultural narratives. The integral approach was useful to identify collective preference patterns as well as deviations from these and to understand why they occur. Important influences on participant’s selection of their preferred place to study were spatial characteristics, in particular a balance of prospect and refuge as well as individual past experiences, and the nature of the given task in this case study.
Calcium, vitamin D or recombinant parathyroid hormone for managing post-thyroidectomy hypoparathyroidism.

BACKGROUND Post-surgical hypoparathyroidism is a common complication after thyroid surgery. The incidence is likely to increase given the rising trend in the annual number of thyroid operations being performed. Measures to prevent post-thyroidectomy hypoparathyroidism including different surgical techniques and prophylactic calcium and vitamin D supplements have been extensively studied. The management of post-thyroidectomy hypoparathyroidism however has not been extensively evaluated. Routine use of calcium and vitamin D supplements in the postoperative period may reduce the risk of symptoms, temporary hypocalcaemia and hospital stay. However, this may lead to overtreatment and has no effect on long-term hypoparathyroidism. Current recommendations on the management of post-thyroidectomy hypoparathyroidism is based on low-quality evidence. Existing guidelines do not often distinguish between surgical and non-surgical hypoparathyroidism, and transient and long-term disease.The aim of this systematic review was to summarise evidence on the use of calcium, vitamin D and recombinant parathyroid hormone in the management of post-thyroidectomy hypoparathyroidism. In addition, we aimed to highlight deficiencies in the current literature and stimulate further work in this field. OBJECTIVES The objective of this systematic review was to assess the effects of calcium, vitamin D and recombinant parathyroid hormone in managing post-thyroidectomy hypoparathyroidism. SEARCH METHODS We searched CENTRAL, MEDLINE, PubMed, Embase as well as ICTRP Search Portal and ClinicalTrials.gov. The date of the last search for all databases was 17 December 2018 (except Embase, which was last searched on 21 December 2017). No language restrictions were applied. SELECTION CRITERIA We planned to include randomised control trials (RCTs) or controlled clinical trials (CCTs) examining the effects of calcium, vitamin D or recombinant parathyroid hormone in people with temporary and long-term post-thyroidectomy hypoparathyroidism. DATA COLLECTION AND ANALYSIS Two review authors independently screened titles, abstracts and full texts for relevance. MAIN RESULTS Database searches yielded a total of 1751 records. We retrieved potentially relevant full texts and excluded articles on the following basis: not a RCT or CCT; intervention, comparator or both did not match prespecified criteria; non-surgical causes of hypoparathyroidism, and studies on prevention. None of the articles was eligible for inclusion in the systematic review. AUTHORS' CONCLUSIONS This systematic review highlights a gap in the current literature and the lack of high-quality evidence in the management of post-thyroidectomy temporary and long-term hypoparathyroidism. Further research focusing on clinically relevant outcomes is needed to examine the effects of current treatments in the management of temporary and long-term post-thyroidectomy hypocalcaemia.
A predictive model for network intrusion detection using stacking approach

Due to the emerging technological advances, cyber-attacks continue to hamper information systems. The changing dimensionality of cyber threat landscape compel security experts to devise novel approaches to address the problem of network intrusion detection. Machine learning algorithms are extensively used to detect intrusions by dint of their remarkable predictive power. This work presents an ensemble approach for network intrusion detection using a concept called Stacking. As per the popular no free lunch theorem of machine learning, employing single classifier for a problem at hand may not be ideal to achieve generalization. Therefore, the proposed work on network intrusion detection emphasizes upon a combinative approach to improve performance. A robust processing paradigm called Graphlab Create, capable of upholding massive data has been used to implement the proposed methodology. Two benchmark datasets like UNSW NB-15 and UGR’ 16 datasets are considered to demonstrate the validity of predictions. Empirical investigation has illustrated that the performance of the proposed approach has been reasonably good. The contribution of the proposed approach lies in its finesse to generate fewer misclassifications pertaining to various attack vectors considered in the study.
Study and Therapeutic Interference of T Cell Function in Pressure Overload-induced Heart Failure

Heart failure (HF) is a leading cause of mortality. Inflammation is implicated in HF, yet clinical trials targeting pro-inflammatory cytokines in HF were unsuccessful, possibly due to redundant functions of individual cytokines. We attempted to identify and exploit better targets in cardiac inflammation so as to enable an immunotherapy of HF. We linked T cells with HF development in the gold-standard mouse model of HF and in human HF patients. We inhibited T cell function in vivo via T cell costimulation blockade, through FDA-approved rheumatoid arthritis drug abatacept (CTLA-Ig). Administration of abatacept led to highly significant delay in progression and decreased severity of cardiac dysfunction in the mouse HF model. The therapeutic effect occurred via inhibition of activation and cardiac infiltration of T cells and macrophages, leading to reduced cardiomyocyte death. Treatment also induced production of anti-inflammatory cytokine interleukin-10 (IL-10). IL-10-deficient mice were refractive to treatment, whilst protection could be rescued by transfer of IL-10-sufficient B cells. These results suggest that T cell costimulation blockade could be therapeutically exploited as a possible HF treatment.
Age period cohort analysis: a review of what we should and shouldn’t do

Abstract Context: Age, period and birth cohort (APC) effects have been known for decades in biological, health and social sciences. However, exact collinearity between these three (Age = Year – Birth Year) leads to difficulty estimating these effects. It is thus impossible to estimate linear components of these effects without strong assumptions about at least one of these. This is problematic for anyone interested in APC patterns. Attempts to ‘solve’ this identification problem without strong assumptions are, in fact, making hidden unintended assumptions. Objective: Provide an overview of what APC effects are and the nature of the identification problem, before reviewing and critiquing methodological literature across the health and social sciences. I also present an argument for what researchers should do. Method: Non-systematic review of methodological literature across health and social sciences. Results: Recommendations include considering non-linearities around linear APC effects and stating strong and explicit theory-based assumptions. Mechanical solutions to the identification problem do not work. Conclusion: These recommendations acknowledge there is a ‘line of solutions’ of possible combinations of APC effects, and not a single answer that can be estimated empirically. None of these methods solve the identification problem – rather they acknowledge that methods are limited by assumptions.
Alterations in lipid profile and atherogenic predictor indices of type 2 diabetes mellitus patients in Awka, Anambra State, Nigeria.

Changes in lipid profile and atherogenic predictor indices of Type 2 diabetes mellitus (T2DM) patients attending Diabetic Clinic of Chukwuemeka Odumegwu Ojukwu University Teaching Hospital Awka, Anambra State, Nigeria, between January 2016 and January 2017 were studied using standard methods. Fasting blood glucose (FBG), total cholesterol (TC), triglyceride (TG) and high density lipoprotein cholesterol (HDL-c) concentrations were determined spectrophotometrically, while the values of low density lipoprotein cholesterol (LDL-c), very low density lipoprotein cholesterol (VLDL-c) and the atherogenic lipid ratios were calculated. The subjects included willingly consented 60 T2DM patients and 40 apparently healthy, age-matched control subjects. The FBG concentration, lipid profile and atherogenic parameters were significantly (p Atherogenic Index of Plasma > non HDL-c > Atherogenic Coefficient > Castelli’s Risk Index-I. FBG concentration correlated significantly (r=0.28; p=0.027) with non HDL-c of the diabetic subjects. The occurrence of dyslipidaemia and abnormality in atherogenic risk predictor indices among Nigerian T2DM patients is high. The significantly high values of lipid profile and atherogenic indices obtained might indicate potential and increased risk of coronary heart disease (CHD) among these patients. Thus, the need for increased awareness for regular lipid profile testing, monitoring and use of atherogenic predictor indices in the effective management of T2DM patients is very crucial.
Generalized canonical correlation analysis for functional data

Summary There is a growing need to analyze data sets characterized by several sets of variables observed on the same set of individuals. Such complex data structures are known as multiblock (or multiple-set) data sets. Multi-block data sets are encountered in diverse fields including bioinformatics, chemometrics, food analysis, etc. Generalized Canonical Correlation Analysis (GCCA) is a very powerful method to study this kind of relationships between blocks. It can also be viewed as a method for the integration of information from K > 2 distinct sources (Takane and Oshima-Takane 2002). In this paper, GCCA is considered in the context of multivariate functional data. Such data are treated as realizations of multivariate random processes. GCCA is a technique that allows the joint analysis of several sets of data through dimensionality reduction. The central problem of GCCA is to construct a series of components aiming to maximize the association among the multiple variable sets. This method will be presented for multivariate functional data. Finally, a practical example will be discussed.
Functional evaluation of proximal femoral fractures managed with cephalomedullary nailing by oxford hip score - A prospective study

Fixation of proximal femoral fractures by cephalomedullary nailing has become very popular due to the superior biomechanics and prevention of various complications associated with sliding hip screw. Material and Methods: In this study we followed 94 patients admitted and managed in the Department of orthopaedics at SGRRIMHS Dehradun. the followup period was of one year duration during which the functional status of patients was assessed by Oxford hip score at regular intervals. Results: All the patients had uneventful post-op recovery. The pain swas quite severe in 70% of the patients at 1 month but by end of 12 months 76% of patients had very mild or no hip pain. No significant difference in hip score was seen in patients managed by long nails and short nails. for the first 3 followups at 1, 3 and 6 months no significant difference between scores of hips managed by open and closed reduction was seen however at 12 months the score of hips managed by open reduction was lower. All the fractures were united at the end of 1 year. Conclusion: Although cephalomedullary nailingg in proximal femoral fractures is a bit technically demanding it has the advantage of providing rotational as well as axial stability and excellent clinical results allowing a faster post-operative restoration of walking ability, with overall better outcome.
Institutional mission statements: discursive construction of organizational identity in Canadian post-secondary education

Para navegar nas paginas de instituicoes educacionais quando escolhendo onde estudar, futuros alunos precisam ter altos niveis de letramento para entender como tais organizacoes se representam para o mundo. Este estudo examina a construcao discursiva da identidade organizacional nas declaracoes de missao de instituicoes Canadenses pos-secundaria selecionadas por meio da aplicacao do procedimento de analise de generos (SWALES, 1990) o Ingles para Fins Especificos de movimentos e passos e analise lexico-gramatical (HYON, 2018) para entender a organizacao retorica das declaracoes de missao e padroes gramaticais e lexicais que caracterizam cada movimento individual. Os resultados das analises de um pequeno corpus de 14 declaracoes de missoes mostram que todas as amostras de declaracao de missao incluem ‘comprometimentos’ como o movimento obrigatorio; entretanto, os comprometimentos primarios das declaracoes de missao da universidade diferenciam-se daqueles de faculdades, portanto refletindo diferencas em propositos institucionais e funcoes de dois tipos de instituicoes educacionais pos-secundaria. Implicacoes praticas e pedagogicas do estudo sao discutidos.
Fixed Shipping Cost Allocation for Just-in-Time (JIT) Lot-Splitting

This paper studies benefits of just-in-time (JIT) lotsplitting and multiple shipments for an order placed by the retailer in a two-stage supply chain. In a typical order placement and delivery setting between the buyer and the vendor, the treatment of the shipping cost is not clear and is contingent on negotiations between the parties involved. The outcome of such settlement often results in suboptimal practices in the supply chain. This paper investigates how the optimal and incentive aligned allocation of the fixed shipping cost from the manufacturer to the retailer can be obtained with the lotsplitting policy. Numerical results indicate that both the lotsplitting policy parameter and the fixed cost structures (e.g., fixed shipping to ordering cost ratio) command significant impact on the shipment frequency and the supply chain cost. The paper further proposes an approach to identify settings beneficial for the system.
A New Adaptive Differential Evolution Algorithms

In this paper, we describe a New Adaptive Differential Evolution algorithm (NADE) based on adaptive mutation operator, crossover operator and new mutation strategy. It is mainly aimed at the existence of individual aggregation and the reduction of population diversity in the calculation process of Differential Evolution algorithm (DE), which makes the algorithm easy to get early. The problems of ripeness, slow convergence speed and low convergence accuracy are improved. The improved differential evolution algorithm is tested by five commonly used test functions, and the test results are compared with the other three algorithms. The results show that the proposed algorithm performs better in convergence speed, convergence precision and global convergence ability.
Species Distribution of Styrax sumatrana in North Sumatra using Maxent Modelling Approach

Styrax sumatrana is the prestigious tree from North Sumatra. The resin which is a product from this tree has high demand and take a role as the primary income for farmer around the forest. However, the climate change along with the land conversion, threatens the species distribution . This paper aims to analyse the variable that contributes to Styrax sumatrana distribution and predict the potential distribution area of the species in North Sumatra Province . Several variables, such as elevation, slope, aspect, climate condition and land use land cover (LULC), were used to analyse the contribution for Styrax sumatrana distribution. The analysis uses the Maximum entropy model to examine the variable contribution for species distribution. The result shows that the mean temperature of the coldest quarter has a higher contribution for species distribution followed by elevation and LULC. The climate condition has a great impact by 28.5% than the other variable. The potential area that is suitable for Styrax sumatrana distribution was 8.91% or around 663,221.94 ha from a total of region.
Shared medical appointments : An innovative approach to patient care

Copyright © 2015 Wolters Kluwer Health, Inc. Unauthorized reproduction of this article is prohibited. here continues to be a treatment gap in achieving targets for glycemic control, weight loss, and reducing cardiac risks in patients with diabetes mellitus. One important barrier may be the way health services are delivered to patients with diabetes mellitus. To address this treatment gap, shared medical appointments (SMAs) have emerged as a new method of delivering care to patients with chronic conditions, such as diabetes mellitus.
Stable Efficient Methylammonium Lead Iodide Thin Film Photodetectors with Highly Oriented Millimeter-Sized Crystal Grains

The size of crystal grains in lead halide perovskite thin films remains a vital design feature for durable optoelectronic devices. With larger crystals and reduced grain boundaries per surface area, the stability of the structures improves as degradation, caused by moisture and oxygen percolating into the grain boundaries, is minimized. Thus far, large scale continuous lateral films of methylammonium lead iodide (MAPbI3) with macroscale crystal grains compatible with thin film (<1 μm thick) solar cells and photodetectors have not been reported. Herein, we employ meniscus-guided blade coating technique to grow thin films of highly oriented millimeter-size MAPbI3 crystals, resulting in over an order of magnitude responsivity enhancement over spin-coated films in lateral photoconductors with channel lengths over 100 μm. Furthermore, the blade-coated MAPbI3 thin films exhibit anisotropic higher conductivity along crystal grains over a millimeter range. With crystals orders of magnitude larger in size, and wit.
Evaluating The Performance of Flood Prevention Programs in Bandung Regency: Using Logic Model

In this era of, the public gives more attention to the achievements of government performance, including the regional government. One of the problems is the repeated floods in the Citarum Watershed. However, because disaster events can occur at any time with different locations, there are difficulties for regional leaders and their staff to measure and evaluate the quality and performance of the disaster management programs that they have carried out, especially in situations of emergency response. The large flood of Upper Citarum has damaged buildings and disrupted infrastructure functions due to 12,654 buildings submerged and damage such as potholes and foundation damage many local roads and the closure of a number of schools and other social buildings. Evaluation of the performance of disaster management programs is needed in order to know program performance to develop and to increase capacity and services performed. This study will expose what has been done by the Bandung District Government to overcome the problem of flooding in the Upper Citarum watershed during the last 3 years and evaluate the performance of the Bandung Regency Government to tackle the problem of floods that have recurred in that area using Logic Model.