Miracle-dz/UniFAR-FTUs huggingface dataset:
Lagrangian relaxation and cut generation for sequence-dependent setup time flowshop scheduling problems to minimise the total weighted tardiness

The Lagrangian relaxation and cut generation technique is applied to solve sequence-dependent setup time flowshop scheduling problems to minimise the total weighted tardiness. The original problem is decomposed into individual job-level subproblems that can be effectively solved by dynamic programming. Two types of additional constraints for the violation of sequence-dependent setup time constraints are imposed on the decomposed subproblems in order to improve the lower bound. The decomposed subproblem with the additional setup time constraints on any subset of jobs is also effectively solved by a novel dynamic programming. Computational results show that the lower bound derived by the proposed method is much better than those of CPLEX and branch and bound for problem instances with 50 jobs and five stages with less computational effort.
Immunoisolation of GABA-Specific Synaptic Vesicles Defines a Functionally Distinct Subset of Synaptic Vesicles

Synaptic vesicles from mammalian brain are among the best characterized trafficking organelles. However, so far it has not been possible to characterize vesicle subpopulations that are specific for a given neurotransmitter. Taking advantage of the recent molecular characterization of vesicular neurotransmitter transporters, we have used an antibody specific for the vesicular GABA transporter (VGAT) to isolate GABA-specific synaptic vesicles. The isolated vesicles are of exceptional purity as judged by electron microscopy. Immunoblotting revealed that isolated vesicles contain most of the major synaptic vesicle proteins in addition to VGAT and are devoid of vesicular monoamine and acetylcholine transporters. The vesicles are 10-fold enriched in GABA uptake activity when compared with the starting vesicle fraction. Furthermore, glutamate uptake activity and glutamate-induced but not chloride-induced acidification are selectively lost during immunoisolation. We conclude that the population of GABA-containing synaptic vesicles is separable and distinct from vesicle populations transporting other neurotransmitters.
Changes in the Common Bean Transcriptome in Response to Secreted and Surface Signal Molecules of Rhizobium etli1[OPEN]

Transcriptional profiling of common bean roots exposed to rhizobial molecules uncovers unique aspects of root nodule symbiosis, including early modulation of genes encoding circadian clock components. Establishment of nitrogen-fixing symbiosis requires the recognition of rhizobial molecules to initiate the development of nodules. Using transcriptional profiling of roots inoculated with mutant strains defective in the synthesis of Nod Factor (NF), exopolysaccharide (EPS), or lipopolysaccharide (LPS), we identified 2,606 genes from common bean (Phaseolus vulgaris) that are differentially regulated at early stages of its interaction with Rhizobium etli. Many transcription factors from different families are modulated by NF, EPS, and LPS in different combinations, suggesting that the plant response depends on the integration of multiple signals. Some receptors identified as differentially expressed constitute excellent candidates to participate in signal perception of molecules derived from the bacteria. Several components of the ethylene signal response, a hormone that plays a negative role during early stages of the process, were down-regulated by NF and LPS. In addition, genes encoding proteins involved in small RNA-mediated gene regulation were regulated by these signal molecules, such as Argonaute7, a specific component of the trans-acting short interfering RNA3 pathway, an RNA-dependent RNA polymerase, and an XH/XP domain-containing protein, which is part of the RNA-directed DNA methylation. Interestingly, a number of genes encoding components of the circadian central oscillator were down-regulated by NF and LPS, suggesting that a root circadian clock is adjusted at early stages of symbiosis. Our results reveal a complex interaction of the responses triggered by NF, LPS, and EPS that integrates information of the signals present in the surface or secreted by rhizobia.
The -159C/T Polymorphism in the CD14 Gene and Tuberculosis Risk: A Meta-Analysis

Background: The -159C/T polymorphism in the CD14 gene has been implicated in susceptibility to tuberculosis, but the results were inconclusive. The present meta-analysis aimed to perform a comprehensive assessment of the literature on the possible association between the -159C/T polymorphism and tuberculosis risk. Methods: We searched in Pubmed and Embase for studies evaluating the association between the -159C/T gene polymorphism and tuberculosis risk. Data were extracted and statistical analysis was performed using Revman 5.1 and STATA 12.0 software. Results: A total of seven case-control studies involving 3253 subjects (1,574 tuberculosis cases and 1,679 controls) were included. Combined analysis revealed an obvious association between this polymorphism and tuberculosis risk (odds ratio=1.66 and 95% confidence interval: 1.23-2.25, P<0.05 for TT vs. TC+ CC). Sub-group analysis by ethnicity suggested that the risk of tuberculosis associated with the -159C/T polymorphism was significantly elevated among Asians (odds ratio=1.87 and 95% confidence interval: 1.58-2.21, P<0.05 for TT vs. TC+ CC). Conclusion: This meta-analysis suggests that the -159C/T polymorphism in the CD14 gene contributes to tuberculosis susceptibility. To further investigate gene-gene and gene-environment interactions between this polymorphism and tuberculosis risk, more studies are needed.
Pengaruh kualitas pelayanan terhadap kepuasan pasien rawat inap pada rumah sakit PKU Muhammadiyah Surakarta

Studi ini bertujuan untuk mengetahui tingkat kesesuaian antara harapan pasien rawat inap terhadap kualitas pelayanan kesehatan di Rumah Sakit PKU Muhammadiyah Surakarta. Untuk mengetahui pengaruh kualitas pelayanan terhadap kepuasan pasien rawat inap di Rumah Sakit PKU Muhammadiyah Surakarta. Sejalan dengan masalah dan hipotesis penelitian tersebut maka penelitian ini dilaksanakan dengan menggunakan desain survei yaitu penelitian yang mengambil sampel dari satu populasi dan menggunakan kuesioner sebagai alat pengumpulan data pokok. Dalam penelitian ini menggunakan sampel sebanyak 100 pasien. Teknik pengambilan sampel dalam penelitian ini menggunakan teknik proportional random sampling. Analisis kuantitatif dalam penelitian ini akan digunakan uji validitas dan uji reliabilitas dengan Cronbach’s Alpha. Uji asumsi klasik meliputi uji heteroskedastisitas dan uji normalitas. Untuk uji hipotesis menggunakan regresi linier berganda. Semua pengujian menggunakan program komputer SPSS 11.5. Hasilnya didapat bahwa dimensi pelayanan secara keseluruhan, kesesuaian antara pelayanan yang diberikan oleh RS PKU Muhammadiyah Surakarta dengan harapan pasien terdapat gap/ tingkat kepuasan sebesar (-0,36), skor ini dikategorikan dalam kelompok sedang, meskipun belum sepenuhnya memenuhi harapan pasien tetapi pelayanan yang diberikan sudah cukup baik. Berdasarkan hasil analisis regresi diatas dapat disimpulkan bahwa semua variabel dari dimensi kualitas pelayanan (keandalan, ketanggapan, keyakinan, keberwujudan dan empati) secara bersama-sama memiliki pengaruh positif dan signifikan terhadap kepuasan pasien rawat inap RS PKU Muhammadiyah Surakarta. Hasil tersebut menunjukkan bahwa hipotesis alternatif (Ha) dapat diterima dan hipotesis nihil (Ho) ditolak, pengaruhnya yang paling besar adalah variabel keberwujudan (5,191) diikuti ketanggapan (4,280), keandalan (4,059), empati (1.989), dan keyakinan (-4,205) terhadap kepuasan pasien rawat inap RS PKU Muhammadiyah Surakarta. Hasilnya adalah R2 sebesar (0,789) menunjukkan bahwa 78,9 % variabel kepuasan pasien dapat dijelaskan oleh kualitas pelayanan yaitu keandalan, ketanggapan, keyakinan, keberwujudan dan empati sedangkan sisanya 21,1 % lainnya dijelaskan variabel lain yang tidak termasuk dalam model penelitian ini. Kata Kunci: kualitas pelayanan dan kepuasan pasien
Evaluation of a flow cytofluorometric method for rapid determination of amphotericin B susceptibility of yeast isolates

A rapid-flow cytofluorometric susceptibility test for in vitro amphotericin B testing of yeasts was evaluated and compared to the National Committee for Clinical Laboratory Standards (NCCLS) M27-T reference broth macrodilution method. The flow cytofluorometric method is based on the detection of decreased green fluorescence intensity of cells stained with DiOC5(3), a membrane potential-sensitive cationic dye, after drug treatment. Testing was performed on 134 clinical isolates (Candida spp. and Torulopsis glabrata). From the dose-response curve obtained for each isolate, three endpoints were calculated by computer analysis (the concentrations at which the fluorescence intensity was reduced by 50, 80, and 90%, i.e., 50% inhibitory concentration [IC50], IC80, and IC90, respectively). A regression analysis correlating these endpoints with the M27-T MICs showed that the best agreement was obtained with IC80. The flow cytofluorometric method showed good reproducibility with control strains. These initial results suggest that the flow cytofluorometric method is a valid alternative to the NCCLS reference method.
Fitted Q-iteration in continuous action-space MDPs

We consider continuous state, continuous action batch reinforcement learning where the goal is to learn a good policy from a sufficiently rich trajectory generated by some policy. We study a variant of fitted Q-iteration, where the greedy action selection is replaced by searching for a policy in a restricted set of candidate policies by maximizing the average action values. We provide a rigorous analysis of this algorithm, proving what we believe is the first finite-time bound for value-function based algorithms for continuous state and action problems.
Plain language summaries

Hidradenitis suppurativa is a chronic and painful disease in which there is inflammation in areas of the bigger body folds, mainly in the armpits and groins. It is still not clear why some people get this disease, but it is thought the immune system is involved. The researchers examined 34 skin samples from 22 patients with HS, including specimens both from lesional skin (i.e. where lesions are present) and perilesional skin (i.e. healthy-appearing skin biopsied at a distance of 2 cm from diseased skin). It is known that people with HS have increased levels of certain proteins, called interleukin (IL)-17 and IL-1b, in areas of skin with HS lesions, and these proteins contribute to inflammation. This study, from Germany, sought to identify the cellular sources of IL-17 in HS, and looked at a range of other factors that might contribute to the development of the disease, including the presence and source of other proteins that are involved in HS. Altogether, the data provide evidence that IL-17 cells are present at perilesional sites of HS, where they appear to contribute to the initiation of skin inflammation. Moreover, the epidermis (outermost layer of skin) was identified as an important source of proinflammatory (inflammation-causing) protein molecules. This means that most of the proteins the researchers looked at (namely IL-1-activating Caspase-1 and S100A8/A9, in addition to IL-1b), were located in the epidermis in skin affected by HS. This is important because it shows that the epidermis is part of the immune system process that is relevant to HS. The researchers also found a massive influx of neutrophils in samples, and these cells are a source of IL-17, also triggering the inflammatory process. All of these results allow for a better understanding of the processes within the body that cause HS, and will assist further research into the disease.
Possible conflicts: a compilation technique for consistency-based diagnosis

Consistency-based diagnosis is one of the most widely used approaches to model-based diagnosis within the artificial intelligence community. It is usually carried out through an iterative cycle of behavior prediction, conflict detection, candidate generation, and candidate refinement. In that process conflict detection has proven to be a nontrivial step from the theoretical point of view. For this reason, many approaches to consistency-based diagnosis have relied upon some kind of dependency-recording. These techniques have had different problems, specially when they were applied to diagnose dynamic systems. Recently, offline dependency compilation has established itself as a suitable alternative approach to online dependency-recording. In this paper we propose the possible conflict concept as a compilation technique for consistency-based diagnosis. Each possible conflict represents a subsystem within system description containing minimal analytical redundancy and being capable to become a conflict. Moreover, the whole set of possible conflicts can be computed offline with no model evaluation. Once we have formalized the possible conflict concept, we explain how possible conflicts can be used in the consistency-based diagnosis framework, and how this concept can be easily extended to diagnose dynamic systems. Finally, we analyze its relation to conflicts in the general diagnosis engine (GDE) framework and compare possible conflicts with other compilation techniques, especially with analytical redundancy relations (ARRs) obtained through structural analysis. Based on results from these comparisons we provide additional insights in the work carried out within the BRIDGE community to provide a common framework for model-based diagnosis for both artificial intelligence and control engineering approaches.
Fast monitoring of epileptic seizures using recurrence time statistics of electroencephalography

Epilepsy is a relatively common brain disorder which may be very debilitating. Currently, determination of epileptic seizures often involves tedious, time-consuming visual inspection of electroencephalography (EEG) data by medical experts. To better monitor seizures and make medications more effective, we propose a recurrence time based approach to characterize brain electrical activity. Recurrence times have a number of distinguished properties that make it very effective for forewarning epileptic seizures as well as studying propagation of seizures: (1) recurrence times amount to periods of periodic signals, (2) recurrence times are closely related to information dimension, Lyapunov exponent, and Kolmogorov entropy of chaotic signals, (3) recurrence times embody Shannon and Renyi entropies of random fields, and (4) recurrence times can readily detect bifurcation-like transitions in dynamical systems. In particular, property (4) dictates that unlike many other non-linear methods, recurrence time method does not require the EEG data be chaotic and/or stationary. Moreover, the method only contains a few parameters that are largely signal-independent, and hence, is very easy to use. The method is also very fast—it is fast enough to on-line process multi-channel EEG data with a typical PC. Therefore, it has the potential to be an excellent candidate for real-time monitoring of epileptic seizures in a clinical setting.
The Prevalence of Mild Cognitive Impairment in Diverse Geographical and Ethnocultural Regions: The COSMIC Collaboration

Background Changes in criteria and differences in populations studied and methodology have produced a wide range of prevalence estimates for mild cognitive impairment (MCI). Methods Uniform criteria were applied to harmonized data from 11 studies from USA, Europe, Asia and Australia, and MCI prevalence estimates determined using three separate definitions of cognitive impairment. Results The published range of MCI prevalence estimates was 5.0%–36.7%. This was reduced with all cognitive impairment definitions: performance in the bottom 6.681% (3.2%–10.8%); Clinical Dementia Rating of 0.5 (1.8%–14.9%); Mini-Mental State Examination score of 24–27 (2.1%–20.7%). Prevalences using the first definition were 5.9% overall, and increased with age (P < .001) but were unaffected by sex or the main races/ethnicities investigated (Whites and Chinese). Not completing high school increased the likelihood of MCI (P ≤ .01). Conclusion Applying uniform criteria to harmonized data greatly reduced the variation in MCI prevalence internationally.
The Rules: Time-Tested Secrets for Capturing the Heart of Mr. Right

You are a creature unlike any other (Rule #1)--that's why you need . The Rules. A simple set of dos and don'ts, The Rules will lead you to where you want to be: in a healthy, committed relationship. Unlike today's haphazard dating customs, The Rules recognizes certain facts of life. That men know what they want. That a man is either attracted to you--or not! That men want a challenge, not an instant or easy victory. When you follow these commonsense guidelines, you treat yourself with respect and dignity--and demand that men do likewise. Although they sound old-fashioned ("Don't see him more than once or twice a week"), they encourage you to lead a full, satisfying, busy life--outside of romance. Although they seem tough ("Don't talk to a man first"), they will teach you how to accept occasional defeat and move on. And although they require discipline ("No more than casual kissing on the first date"), they will bring out the best in you and in the men you date. The goal? Marriage, in the shortest time possible, to a man you love, who loves you even more than you love him.
Conceptual foundations of occupational therapy practice

An Overview of Occupational Therapy's Conceptual Foundations Introduction The Kind of Knowledge Needed to Support Practice The Early Development of Occupational Therapy Practice: The Preparadigm and Occupational Therapy Paradigm Period The Development of Occupational Therapy Practice in Mid-Century: A New Paradigm of Inner Mechanisms Emergence of the Contemporary Paradigm: A Return to Occupation Conceptual Practice Models The Biomechanical Model The Cognitive Model The Functional Group Model The Intentional Relationship Model The Model of Human Occupation The Motor Control Model The Sensory Integration Model Related Knowledge The Nature and Use of Related Knowledge The Medical Model Cognitive-Behavioral Therapy Disabilities Studies Using the Conceptual Foundations in Practice Using the Conceptual Foundations in Practice: Creation of a Personal Conceptual Portfolio Therapeutic Reasoning: Using Occupational Therapy's Conceptual Foundations in Everyday Practice Activity Analysis: Using the Conceptual Foundations to Understand the Fit between Persons and Occupations.
Inhibition of MicroRNA-149-5p Induces Apoptosis of Acute Myeloid Leukemia Cell Line THP-1 by Targeting Fas Ligand (FASLG)

Background This study was aimed to reveal the role of miR-149-5p in acute myeloid leukemia (AML) cells apoptosis and the possible mechanism involved. Material/Methods The expression of miR-149-5p in leukemia cell lines, as well as the blood and bone marrow (BM) samples from leukemia patients, were monitored by reverse-transcription polymerase chain reaction (RT-PCR). AML cell line THP-1 was transfected with miR-149-5p mimic or inhibitor, and then cell apoptosis was determined using the APO Percentage assay kit. The target of miR-149-5p was predicted by using the microRNA.org database, and verified by RT-PCR, Western blot, and Dual-Luciferase reporter assays. Further, small interfering RNA (siRNA) against the target gene was co-transfected with miR-149-5p inhibitor, and then the cell apoptosis and the expression of apoptosis-related proteins were assessed. Results MiR-149-5p was significantly up-regulated in leukemia cell lines and samples from leukemia patients (P<0.01 or P<0.001), especially in THP-1 cells and samples from AML patients. Cell apoptosis was significantly decreased by miR-149-5p overexpression (P<0.01) and increased by miR-149-5p suppression (P<0.05). Fas Ligand (FASLG) was a direct target of miR-149-5p, and was negatively regulated by miR-149-5p. More importantly, the inductive effects of miR-149-5p suppression on cell apoptosis were abrogated by si-FASLG (P<0.01). Furthermore, the up-regulative effects of miR-149-5p suppression on the phosphorylated form of Fas-associated via death domain (p-FADD), caspase-8, caspase-2, caspase-3, and the cleaved forms of these caspases were abrogated by si-FASLG. Conclusions Inhibition of miR-149-5p can induce apoptosis in THP-1 cells. These inductive effects might be via targeting FASLG and activating FADD and caspases.
Interpersonal Psychotherapy - A Clinician's Guide

Introduction Introduction IPT Theory and Clinical Applications Initial Sessions The Structure of IPT Assessment and Patient Selection The Interpersonal Inventory The Interpersonal Formulation The Treatment Contract IPT Techniques Clarification Communication Analysis Interpersonal Incidents Use of Affect Role Playing Homework Problem Areas Interpersonal Disputes Role Transitions Grief and Loss Concluding IPT Concluding Acute Treatment and Maintenance Additional Aspects of IPT Psychodynamic Processes Applications of IPT Research in IPT IPT: An Integrated Case Example Appendices: IPT Institute and Certified Training in Interpersonal Psychotherapy Interpersonal Inventory Form Interpersonal Formulation Form International Society of Interpersonal Psychotherapy
Adding a Single State Memory Optimally Accelerates Symmetric Linear Maps

Previous papers have proposed to add memory registers to the dynamics of discrete-time linear systems in order to accelerate their convergence. In particular, it has been proved that adding one memory slot per agent allows faster convergence towards average consensus. We here prove that this situation cannot be improved by adding more memory slots, when the knowledge about the self-adjoint linear map to be accelerated reduces to bounds on its extreme eigenvalues.
Investigation of Concept-based Proximity Matching - GRIUM@Clinical Decision Support Track 2015 Task 1a

Concepts are often used in Medical Information Retrieval. Previous studies showed that exact concept matching (using either the exact concept expression or concept IDs) is not effective, while using concept expressions for proximity matching is more effective. In our participation in Clinical Decision Support Track 2015 task 1a, we investigated the utilization of proximity matching based on concepts. Our results suggest that this matching strategy can be helpful. In this report, we describe the methods tested as well as their results.
Multi-Agent Systems Applied in the Modeling and Simulation of Biological Problems: A Case Study in Protein Folding

— Multi-agent system approach has proven to be an effective and appropriate abstraction level to construct whole models of a diversity of biological problems, integrating aspects which can be found both in "micro" and "macro" approaches when modeling this type of phenomena. Taking into account these considerations, this paper presents the important computational characteristics to be gathered into a novel bioinformatics framework built upon a multi-agent architecture. The version of the tool presented herein allows studying and exploring complex problems belonging principally to structural biology, such as protein folding. The bioinformatics framework is used as a virtual laboratory to explore a minimalist model of protein folding as a test case. In order to show the laboratory concept of the platform as well as its flexibility and adaptability, we studied the folding of two particular sequences, one of 45-mer and another of 64-mer, both described by an HP model (only hydrophobic and polar residues) and coarse grained 2D-square lattice. According to the discussion section of this piece of work, these two sequences were chosen as breaking points towards the platform, in order to determine the tools to be created or improved in such a way to overcome the needs of a particular computation and analysis of a given tough sequence. The backwards philosophy herein is that the continuous studying of sequences provides itself important points to be added into the platform, to any time improve its efficiency, as is demonstrated herein.