Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Multi-Efficiency Optimization Method for Disassembly Line Balancing Problem

Disassembly is an indispensable part in remanufacturing process. Disassembly line balancing and disassembly mode have direct effects on the disassembly efficiency and resource utilization. Recent researches about disassembly line balancing problem (DLBP) either considered the highest productivity, lowest disassembly cost or some other performance measures. No one has considered these metrics comprehensively. In practical production, ignoring the ratio of resource input and value output within remanufacturing oriented disassembly can result in inefficient or pointless remanufacturing operations. To address the problem, a novel multi-efficiency DLBP optimization method is proposed. Different from the conventional DLBP, destructive disassembly mode is considered not only on un-detachable parts, but also on detachable parts with low value, high energy consumption, and long task time. The time efficiency, energy efficiency, and value efficiency are newly defined as the ultimate optimization objectives. For the characteristics of the multi-objective optimization model, a dual-population discrete artificial bee colony algorithm is proposed. The proposed model and algorithm are validated by different scales examples and applied to an automotive engine disassembly line. The results show that the proposed model is more efficient, and the algorithm is well suited to the multi-objective optimization model.
THE EFFECT OF METHANOLIC EXTRACT OF OTOSTEGIA PERSICA ON SERUM LEVELS OF GLUCOSE AND LIVER FUNCTION ENZYMES IN STREPTOZOTOCIN -INDUCED DIABETIC MALE RATS

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J un 2 01 7 The Temporal Event Graph

Temporal networks are increasingly being used to model the interactions of complex systems. Most studies require the temporal aggregation of edges (or events) into discrete time steps to perform analysis. In this article we describe a static, lossless, and unique representation of a temporal network, the temporal event graph (TEG). The TEG describes the temporal network in terms of both the inter-event time and two-event temporal motif distributions. By considering these distributions in unison we provide a new method to characterise the behaviour of individuals and collectives in temporal networks as well as providing a natural decomposition of the network. We illustrate the utility of the TEG by providing examples on both synthetic and real temporal networks.
An Analysis of the Slovene Parliamentary Parties Network

Since the first democratic parliamentary elections in Slovenia in 1990, many efforts to examine complex and rapidly changing relations between political parties have been made . To contribute to this field of research, in this paper the data obtained directly from the elected members of the Parliament and the network approach are used . The matrices composed of estimated relations between parliamentary parties on the scale from -3 (maximal dissimilarity) to +3 (maximal similarity) are analyzed using the network approach (valued signed graphs ; partitioning via local optimisation procedures) to obtain stable partitions of parties and to study relations inside and between the partitions . Attention is also paid to data reliability .
Metaphor in the Age of Mechanical Production

Linguistic metaphors are most naturally viewed as the output of a language generation process, and as the input to a language understanding process. But it is just as meaningful to view the conceptual metaphors that underpin these linguistic forms as an input to the generation process and an output of the understanding process. A large repository of existing linguistic metaphors, such as a text corpus or a database of Web n-grams, can thus be viewed as an implicit source of the knowledge an agent needs to generate and understand novel or unseen linguistic metaphors. If one uses Web data as a knowledge resource for metaphor, it also makes sense to think of the algorithms and tools for manipulating this knowledge as Web services that can be called upon to generate and understand linguistic metaphors on demand. This paper argues that potential metaphors in Web n-grams can be used as a resource for understanding and generating novel deliberate metaphors. A Web service that provides this functionality on-demand is also described, allowing 3party applications to exhibit a measure of their own figurative creativity.
Applying the Convolutional Neural Network Deep Learning Technology to Behavioural Recognition in Intelligent Video

: In order to improve the accuracy and real-time performance of abnormal behaviour identification in massive video monitoring data, the authors design intelligent video technology based on convolutional neural network deep learning and apply it to the smart city on the basis of summarizing video development technology. First, the technical framework of intelligent video monitoring algorithm is divided into bottom (object detection), middle (object identification) and high (behaviour analysis) layers. The object detection based on background modelling is applied to routine real-time detection and early warning. The object detection based on object modelling is applied to after-event data query and retrieval. The related optical flow algorithms are used to achieve the identification and detection of abnormal behaviours. In order to improve the accuracy, effectiveness and intelligence of identification, the deep learning technology based on convolutional neural network is applied to enhance the learning and identification ability of learning machine and realize the real-time upgrade of intelligence video’s "brain". This research has a good popularization value in the application field of intelligent video technology.
Notch Signaling Molecules as Prognostic Biomarkers for Acute Myeloid Leukemia

The role of Notch signaling in acute myeloid leukemia (AML) is still under investigation. We have previously shown that high levels of Notch receptors and ligands could interfere with drug response. In this study, the protein expression of 79 AML blast samples collected from newly diagnosed patients was examined through flow cytometry. Gamma-secretase inhibitors were used in AML mouse xenograft models to evaluate the contribution of Notch pharmacological inhibition to mouse survival. We used univariate analysis for testing the correlation and/or association between protein expression and well-known prognostics markers. All the four receptors (Notch1–4) and some ligands (Jagged2, DLL-3) were highly expressed in less mature subtypes (M0–M1). Notch3, Notch4, and Jagged2 were overexpressed in an adverse cytogenetic risk group compared to good cytogenetic risk patients. Chi-square analysis revealed a positive association between the complete remission rate after induction therapy and weak expression of Notch2 and Notch3. We also found an association between low levels of Notch4 and Jagged2 and three-year remission following allogeneic stem cell transplantation (HSCT). Accordingly, Kaplan–Meier analysis showed improved OS for patients lacking significant expression of Notch4, Jagged2, and DLL3. In vivo experiments in an AML mouse model highlighted both improved survival and a significant reduction of leukemia cell burden in the bone marrow of mice treated with the combination of Notch pan-inhibitors (GSIs) plus chemotherapy (Ara-C). Our results suggest that Notch can be useful as a prognostic marker and therapeutic target in AML.
Computer-Aided Diagnosis of Multiple Sclerosis Using a Support Vector Machine and Optical Coherence Tomography Features

The purpose of this paper is to evaluate the feasibility of diagnosing multiple sclerosis (MS) using optical coherence tomography (OCT) data and a support vector machine (SVM) as an automatic classifier. Forty-eight MS patients without symptoms of optic neuritis and forty-eight healthy control subjects were selected. Swept-source optical coherence tomography (SS-OCT) was performed using a DRI (deep-range imaging) Triton OCT device (Topcon Corp., Tokyo, Japan). Mean values (right and left eye) for macular thickness (retinal and choroidal layers) and peripapillary area (retinal nerve fibre layer, retinal, ganglion cell layer—GCL, and choroidal layers) were compared between both groups. Based on the analysis of the area under the receiver operator characteristic curve (AUC), the 3 variables with the greatest discriminant capacity were selected to form the feature vector. A SVM was used as an automatic classifier, obtaining the confusion matrix using leave-one-out cross-validation. Classification performance was assessed with Matthew’s correlation coefficient (MCC) and the AUCCLASSIFIER. The most discriminant variables were found to be the total GCL++ thickness (between inner limiting membrane to inner nuclear layer boundaries), evaluated in the peripapillary area and macular retina thickness in the nasal quadrant of the outer and inner rings. Using the SVM classifier, we obtained the following values: MCC = 0.81, sensitivity = 0.89, specificity = 0.92, accuracy = 0.91, and AUCCLASSIFIER = 0.97. Our findings suggest that it is possible to classify control subjects and MS patients without previous optic neuritis by applying machine-learning techniques to study the structural neurodegeneration in the retina.
The Academic Supervision Model-Based Education Management in Improving Teacher Performance

The purpose of the study is to find out and get a model that is most excellent academic supervision in improving teacher performance Indonesian. The study was conducted at the Junior High School (SMP) State in two cities, namely Medan and Binjai 6 Schools as much as 3 school, or 9 School Junior High School with a number of Indonesian teachers as many as 61 people. This research includes Action Research School (ARS), because research is conducted to find the influence of academic supervision of certain models on teacher performance in learning Indonesian. The data analysis technique used in this research is descriptive analysis to describe the research variable data. The research was conducted starting in May to September 2015. The findings show four models applied in the research, it turns Scientific Model Academic Supervision better than other models in improving performance Indonesian Teachers.
Analysis of homicide mortality in Brazil

This paper analyzed homicide mortality in Brazil in 2003 and its trend from 1980 to 2003. Data from the National Mortality Information System (SIM) were used. Standardized mortality rates were utilized for the mortality trend analysis, based on the 2000 population in Brazil. There were 49,808 deaths in 2003 - 28 deaths per 100 thousand inhabitants. There was a differential mortality according to race/color and social condition - educational level. Black victims were more likely to present lower social condition and higher homicide rates, compared to whites. Standardized firearm homicide rates increased between 1980 and 2003 with almost five fold higher rates in the age group of 15 to 29 years. These results show the importance of information systems to help produce evidence based strategies and public policies aimed to curb these events.
Magnetic Resonance Imaging of Central Nervous System and Paranasal Sinuses in Multiple Sclerosis Patients: Findings from a Survey of Clinical Records in Kermanshah Province

Background and Objectives: Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system with more than 5.2 million people across the world being afflicted with. Magnetic Resonance Im‌aging (MRI) is a valuable tool in the diagnosis of MS. This study surveys the results of MRI of the central nervous system and paranasal sinuses in the sample of MS patients in Kermanshah Province, Iran. Methods: The clinical records of a total of 294 patients admitted to the Neurology Ward of Farabi Hospital of Ker‌manshah City (Western Iran) between 2004 and 2014 and diagnosed to be afflicted with MS were surveyed. The data were collected using a checklist prepared based on the McDonald Wibers standard criteria. The checklist consisted of 37 items, related to the MRI data of the CNS and paranasal sinuses of MS patients. The data were collected in four domains, including the most common early clinical signs of the patient, distribution of lesions, affliction with sinusitis, and demographic characteristics. The collected data were summarized using descriptive statistical methods. Findings: MRI identified MS plaques in 94.90% of the patients. Female, Married, housekeeping, and under‌graduate patients and the patients with 21-40 years of age had the highest frequency among the MS patients (59.5%, 50.2%, 70.6%, 42%, and 72%). Hands and feet anaesthesis was the most frequently seen early signs (63.80%), followed by visual impairment (42.3%) and ataxia (12.6%). The most frequently involved anatomic site was the white matter surrounding the ventricles (77.50%), followed by centrum semiovale (75.4%), and corpus callosum (17.1%). We also found that 16% of the patients afflicted with MS had sinusitis, with the most frequent anatomical sites afflicted in them being sphenoid sinuses (63.8%). Conclusions: Our study provided further evidence that the MRI is an accurate and reliable method for diag‌nosing MS. No gross differences in the frequency of MS disease among age, sex, and lesion pattern groups compared to other studies were identified. Observing sinusitis in patients afflicted with MS is suggestive of their random association.
Modulation of the biologic behaviour of breast cancer; in vitro models and clinical correlates

Breast cancer is a common, devastating disease with an enormous impact on society. It has a complex biology, perhaps more complex than other tumour types, at least in part due to its hormonal control. While this complex biology poses an enormous challenge to researchers investigating breast cancer, it conversely offers the hope of additional interventions, not feasible with other tumours that may have a beneficial impact on outcomes. Important in choosing patients for such interventions are the definition of prognostic indicators that allow the tailoring of therapy to patients, limiting toxic treatments to those patients in whom they may be beneficial. Another potential approach is the modulation of tumoir biology to circumvent drug resistance, either constitutional or acquired. The studies included in this thesis have attempted to translate preclinical hypotheses into clinical investigations and ultimately new management. Hormone receptors, growth factors (TGF-P, PDGF) and markers o f growth (Ki67) and oestrogen action (P24) have been demonstrated to have prognostic relevance in the clinic. Proof o f principle o f the modulation o f breast cancer behaviour both in the preclinical and clinical setting has been attempted. These studies include an examination o f the effects o f oestrogen, g m n 'irior to cytotoxic chemotherapy. Biologic effects have been demonstrated although m ih: . unic a beneficial effect on survival was not seen. In addition, the studies demonstrate tha* interferon (IFN), given prior to tamoxifen treatment modulates cell behaviour and r e c e p ;v r expression, potentially improving clinical outcomes. Interferon also modulates multidrug resistance, at least in an in-vitro model and may have clinical relevance. The real clinical import o f these observations however awaits definitive clinical study, and the development of more effective modulators o f drug resistance. | 7 ^ T T JI ' r T T T i r ’ r v . i n n ( r > Y i „ # i r
The sunshine of life: Vitamin D

"Life has a way of shining on people who stand in the sunshine of kind actions"–Bryant Mcgill. Sun does not shine for few but for the wide world's joy and health. It is true in the sense of Vitamin D, an essential element, an elixir of sunshine. The aim of this report is to review key aspects relating to Vitamin D functions, its importance in preventing systemic diseases, and deficiency manifestations and its management.
A tunable dispersion compensator with fixed bandwidth for WDM systems using a uniform FBG

Summary form only given. Chromatic dispersion is a critical limitation in reconfigurable WDM networks and high bit rate long haul transmission systems. Many solutions have been proposed for dispersion compensation. Some of the most promising approaches use chirped fiber Bragg gratings (FBGs) as the tunable compensator. However, most tuning methods result in a passband bandwidth change and/or a shift in the center wavelength of the passband. Such changes may cause severe crosstalk as well as limitation in channel spacing. Therefore, highly desirable features in a tunable dispersion compensator are a fixed bandwidth and a fixed passband center wavelength, to avoid interference from neighboring channels. We demonstrate a tunable dispersion compensator for WDM channels with a fixed bandwidth and no shift of the passband center wavelength during tuning.
NIST Big Data Interoperability Framework:

The potential for organizations to capture value from Big Data improves every day as the pace of the Big Data revolution continues to increase, but the level of value captured by companies deploying Big Data initiatives has not been equivalent across all industries. Most companies are struggling to capture a small fraction of the available potential in Big Data initiatives. The healthcare and manufacturing industries, for example, have so far been less successful at taking advantage of data and analytics than other industries such as logistics and retail. Effective capture of value will likely require organizational investment in change management strategies that support transformation of the culture, and redesign of legacy processes. In some cases, the less-than-satisfying impacts of Big Data projects are not for lack of significant financial investments in new technology. It is common to find reports pointing to a shortage of technical talent as one of the largest barriers to undertaking projects, and this issue is expected to persist into the future. This volume explores the adoption of Big Data systems and barriers to adoption; factors in maturity of Big Data projects, organizations implementing those projects, and the Big Data technology market; considerations for implementation and modernization of Big Data systems; and, Big Data readiness.
Reproductive health and sexual behaviour among Roma communities in Romania

Background The topic pursued in our project was sexual and reproductive health in Roma communities. Although this subject is addressed superficially or not at all among Roma ethnic groups, through our program of health education we helped them apply correctly the techniques of personal hygiene and contraception. Method We enriched Roma’s level of knowledge regarding personal hygiene, sexually transmitted diseases and infections, right to promotion of …
A Quantitative Optimization Framework for Market-Driven Academic Program Portfolios

Purpose The purpose of this paper is to provide a decision support model for optimizing the composition of portfolios of market-driven academic programs, primarily in schools offering market-driven academic programs. This model seeks to maximize financial performance during a desired planning time period while also achieving targets for other non-financial dimensions of the portfolio (e.g. mission alignment, student demographics and faculty characteristics) by deciding the types of programs to be added, redesigned and/or removed for each year of the planning period. Design/methodology/approach This paper introduces an integer linear program (i.e. mathematical optimization) to describe the portfolio optimization problem. Integer linear programs are widely used for optimizing portfolios of financial and non-financial products and services in non-educational settings. Additionally, in order to use an integer linear program for the model, qualitative data must be incorporated into the quantitative model. To do so, this paper first discusses two methods of quantifying qualitative information related to market-driven program dimensions in the following section. Findings The paper provides empirical insights related to the impact of this model through an illustrative case from a school offering market-driven academic programs at a prestigious private university in the USA. The results of the case highlight the potential positive impact of utilizing a similar model for planning purposes. Financially, the model results in almost double financial surplus than without the model while also achieving higher scores for all non-financial dimensions measured for the portfolio analyzed. Originality/value This paper provides a unique and impactful model for decision support in strategic planning for market-driven academic programs, an area of intense discussion and focus in higher education today.
Incidence of duck diseases in Assam

A total of 134 cases of duck mortality were recorded during the study period from December 2007 to June, 2009. The following disease conditions were recorded during the study in Assam omphalitis-3D cases, pneumonia-23 cases, pox-23 cases, septicaemia -20 cases, aflatoxicosis-18 cases, duck plague-6 cases, oophoritis and salpingitis-5 cases, rickets-3 cases, necrotic enteritis-l case, neoplasm-l case and undiagnosed-4 cases. Among the age group, day-old to 2 months showed highest mortality due to omphalitis-3D cases, 2–5 months showed highest mortality due to pox-8 cases and adult group also showed highest mortality due to pox-IS cases. Among the pneumonia cases, 11 number of ducks showed mycotic pneumonia. During the study period Escherichia coli (38), Salmonella (9) and Pasteurella multocida (7) were isolated from different disease conditions. It can be concluded that in Assam, duck can suffer from many diseases. Therefore, by maintaining proper managemental practices and good hygiene the morbidity as well as mortality can be minimized.
Governance of the Discontinuation of Socio-Technical Systems - An Exploratory Study of the Incandescent Light Bulb Phase-out.

The governance of socio-technical systems has preferentially been associated with advancement and innovation. Discontinuation of socio-technical systems is, at most, discussed as regime change, innovation setback or failure—as if advancement and innovation was the only direction in which socio-technical development and its governance would go. This paper aims at a better understanding of the governance of the abandonment of socio-technical systems. As observed since Schumpeter’s (1942) insight concerning the symmetry of creation and destruction, the anticipation of discontinuation and fading out is as important as the driving force of expectations about innovation and progress itself. It is crucial to see how technologies are recombined, getting unpopular, liquidated, how promises dissolve—in short: disappear over the horizon of a different future than the one, which was anticipated in the past.