Miracle-dz/UniFAR-FTUs huggingface dataset:
The effects of venlafaxine on social activity level in depressed outpatients.

BACKGROUND Although most depression treatment outcome scales focus on symptoms, depression also affects daily functioning, social activity, and quality of life. We examined the effects of venlafaxine on social activity, general life functioning, and depressive symptoms in 2 placebo-controlled clinical trials of venlafaxine. METHOD Subjects were 600 outpatients with major depression (DSM-III-R criteria). Treatment outcomes were examined separately in each study, primarily because of differing lengths of follow-up. RESULTS Treatment with venlafaxine significantly improved activity level, general life functioning, and depressive symptoms. Treatment accounted for statistically significant changes in both activity level and general life functioning even after controlling for changes in depression. CONCLUSION We provide evidence that social activity is a behavioral domain distinct from depressive symptoms and that venlafaxine improves social activity level and general life functioning in addition to its positive effects on depressive symptoms in outpatients with major depression.
Applications of simulated annealing to peptides

We report the application of a new conformation searching algorithm called simulated annealing to the location of the global miniumum energy conformation of peptides. Simulated annealing is a Metropolis Monte Carlo approach to conformation of generation in which both the energy and temperature dependence of the Boltzmann distribution guides the search for the global minimum. Both uphill and downhill moves are possible, which allows the molecule to escape from local minima. Applications to the 20 natural amino acid “dipeptide models” as well as to polyalanines up to Ala80 are very successful in finding the lowest energy conformation. A history file of the simulated annealing process allows reconstruction and examination of the random walk around conformation space. A separate program, Conf‐Gen, reads the history file and extracts all low‐energy conformations visited during the run.
Sex Differences and Self-Reported Attention Problems During Baseline Concussion Testing

Amateur athletic programs often use computerized cognitive testing as part of their concussion management programs. There is evidence that athletes with preexisting attention problems will have worse cognitive performance and more symptoms at baseline testing. The purpose of this study was to examine whether attention problems affect assessments differently for male and female athletes. Participants were drawn from a database that included 6,840 adolescents from Maine who completed Immediate Postconcussion Assessment and Cognitive Testing (ImPACT) at baseline (primary outcome measure). The final sample included 249 boys and 100 girls with self-reported attention problems. Each participant was individually matched for sex, age, number of past concussions, and sport to a control participant (249 boys, 100 girls). Boys with attention problems had worse reaction time than boys without attention problems. Girls with attention problems had worse visual-motor speed than girls without attention problems. Boys with attention problems reported more total symptoms, including more cognitive-sensory and sleep-arousal symptoms, compared with boys without attention problems. Girls with attention problems reported more cognitive-sensory, sleep-arousal, and affective symptoms than girls without attention problems. When considering the assessment, management, and outcome from concussions in adolescent athletes, it is important to consider both sex and preinjury attention problems regarding cognitive test results and symptom reporting.
Structural topography of simian virus 40 DNA replication

Applying an in situ cell fractionation procedure, we analyzed structural systems of the cell nucleus for the presence of mature and replicating simian virus 40 (SV40) DNA. Replicating SV40 DNA intermediates were tightly and quantitatively associated with the nuclear matrix, indicating that elongation processes of SV40 DNA replication proceed at this structure. Isolated nuclei as well as nuclear matrices were able to continue SV40 DNA elongation under replication conditions in situ, arguing for a coordinated and functional association of SV40 DNA and large T molecules at nuclear structures. SV40 DNA replication also was terminated at the nuclear matrix. While the bulk of newly synthesized, mature SV40 DNA molecules then remained at this structure, some left the nuclear matrix and accumulated at the chromatin.
Defect Detection and Identification in Textile Fabric by SVM Method

In this paper we use a support vector machine (SVM) for defects identification in textile. This new approach serves in the fast detection and extraction of fabric defects from the images of textile fabric based on geometrical analysis of the textile pattern images. Actually, most defects arising in the production process of textile material are still detected by human inspection (1) and the work of inspectors is very tedious and time consuming. They have to detect small details that can be located; the identification rate is about 70%. In addition, the effectiveness of visual inspection decreases quickly with fatigue. For these reasons, an algorithm has been proposed for the defect identification and classification. So, the images analyzed came from an artificial vision system that we used to acquire and memorize those images under jpeg format. The vision system is composed of a camera with a sensor 512X512 Pixels. The classifier SVM was manipulated to classify all defects in the defected fabric. I. INTRODUCTION The Automated visual inspection of industrial goods for quality control plays an ever-increasing role in the production process as the global market pressures put higher and higher demand on quality. In most cases, the quality of inspections through visual inspection is still carried out by humans. However, the reliability of manual inspection is limited by ensuing fatigue and inattentiveness. For example: in textile industry, the most highly trained inspectors can only detect about 70% of the defects (2). Therefore, the automation of visual inspection process is required to maintain high quality of products at a high-speed production. The analysis of images in an artificial vision system is an expensive process. SVM was applied to many problems, and has demonstrated its excellence over traditional methods. The methodology used in this investigation follows the pattern recognition schema: image segmentation, feature extraction and classification. The segmentation process is oriented towards the detection of edges and suspecting the area (defect). This technique seeks changes in the gray values of the image (edges) and then identifying zones delimited as suspect defect. However, only some of them are defects and the others are false alarms. Subsequently, the feature extraction is centered principally on the measurement of properties of the regions. Finally, classification orders segmented regions.
The Efficacy of Lumbar Epidural Steroid Injections in Patients with Lumbar Disc Herniations

INTRODUCTION: Lumbar epidural steroid injection can be accomplished by one of three methods: caudal (C), interlaminar (IL), or transforaminal (TF). In this study we sought to determine the efficacy of these techniques for the management of radicular pain associated with lumbar disk herniations. METHODS: Ninety patients aged 18–60 years with L5-S1 disk herniations and radicular pain were randomly assigned to one of these groups to have epidural steroid injection therapy every 2 wk for a maximum of three injections. Pain relief, disability, and activity levels were assessed. RESULTS: Pain relief was significantly more effective with TF injections. At 24 wk from the initiation of this study, pain relief was as follows: C: complete pain relief: 1/30, partial pain relief: 16/30, and no relief: 13/30; IL: complete pain relief: 3/30, partial pain relief: 15/30, and no relief: 12/30; and TF: complete pain relief: 9/30, partial pain relief: 16/30, and no relief: 5/30. CONCLUSIONS: The TF route of epidural steroid placement is more effective than the C or IL routes. We attribute this observation to a higher incidence of steroid placement in the ventral epidural space when the TF method is used.
Sindbis Virus: Propagation, Quantification, and Storage

The prototype of the Alphaviruses, Sindbis virus, has a broad host range. In nature, Sindbis virus shuttles from an insect vector to a vertebrate host and back to the insect vector in a complex transmission cycle. Sindbis virus must, therefore, be able to replicate in two biochemically and genetically divergent hosts, invertebrates and vertebrates. In the laboratory, Sindbis grows to high titers in a large variety of cultured cells of both vertebrate and invertebrate origin. Sindbis virus is easily titered for infectivity on several mammalian cell lines as well as certain mosquito cells. Full‐length cDNA clones of several strains of Sindbis virus are available from which infectious RNA can be synthesized, making possible the genetic manipulation of the virus. Transfection of mammalian and insect cells by electroporation has facilitated expression of RNA mutants in the cell lines of choice.
Automatic Generation of Neural Network Architecture Using Evolutionary Computation

Changing the Ways We WorkFuzzy Logic in Action: Applications in Epidemiology and BeyondRobust Power System Frequency ControlComputer Aided Systems Theory CAST '94Fuzzy ControlIntelligent Information and Database SystemsMasters Theses in the Pure and Applied SciencesCurrent Topics in Artificial IntelligenceRobotics and Rehabilitation IntelligenceSoft Computing Approaches in ChemistryDatabase Systems for Advanced ApplicationsComputational LinguisticsSmart GridAdvances in Intelligent Data Analysis XVIIIMeta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and FinanceComplex-valued Neural NetworksSystems Thinking Approach for Social ProblemsAdvances in Neural Networks ISNN 2005An Interactive Neural Network Simulator with Automatic Generation of Training PatternsAutomatic Generation of Neural Network Architecture Using Evolutionary ComputationImproving Automatic Generation of Source Code Comments Using Convolutional Neural Networks and ID-splitting MethodAdvances in Intelligent Systems and Computing IIIAdvances in Artificial Intelligence and Data EngineeringIntelligent Automatic Generation ControlSoft ComputingApplications of Neural Networks in High Assurance SystemsIntelligent Computing and VLSINew Trends in Neural ComputationDataIntensive Computing in Smart MicrogridsAdvances in Neural Networks ISNN 2005High Performance Networking, Computing, and Communication SystemsArtificial Intelligence and Soft Computing2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical SystemsNatural Language Processing and Chinese ComputingAdvances in Genetic ProgrammingRobotics, Automation and ControlAvailability, Reliability, and Security in Information SystemsElectric Power SystemsComputer Applications in BiotechnologyOpen Semantic Technologies for Intelligent System
Grasp Quality Improvement with Particle Swarm Optimization (PSO) for a Robotic Hand Holding 3D Objects

Automated grasp planning for robotic hands is a complex problem when compared with the ease with which human hands grasp objects. Research in robotic grasp synthesis attempts to find novel ways in which a stable grasp can be achieved reliably. In this work, we present a grasping methodology that achieves optimized force closure grasps on 3D irregular objects. 3D objects in the form of polygonal meshes are parameterized to 2D shapes in order to reduce the search space by constraining robotic hands finger tips to be in contact with the objects surface. We use a Particle Swarm Optimization (PSO) based framework to optimize an initial grasp. The scheme has been validated on test-case 3D objects represented with surface tessellation for a 5-fingered DLR robotic hand.
Qualitative test and force optimization of 3-D frictional form-closure grasps using linear programming

This paper formalizes qualitative test of 3D frictional form-closure grasps of n robotic fingers as a problem of linear programming (LP). It is well-known that a sufficient and necessary condition for form-closure grasps is that the origin of the wrench space lies inside the convex hull of primitive contact wrenches. We demonstrate that the problem of querying whether the origin lies inside the convex hull is equivalent to a ray-shooting problem, which is dual to a LP problem based on the duality between convex hulls and convex polytopes. Furthermore, this paper addresses a problem of minimizing the L/sub 1/ norm of the grasp forces balancing an external wrench, which can be also transformed to a ray-shooting problem. We have implemented the algorithms and confirmed their real-time efficiency for qualitative test and grasp force optimization.
Algorithm-Agile Encryption in ATM Networks

ATM encryption allows users to select an appropriate algorithm to implement security services for a given transmission. This flexibility is especially helpful when the choices for encryption algorithms between transmission points are limited. Algorithm flexibility also helps reduce operational costs, since multiple algorithms-which are typically implemented in several encryptors-can all be implemented in one device.
Effects of previous messages' evaluations, knowledge content, social cues and personal information on the current message during online discussion

This study of the flow of online discussions examined how previous messages affected the current message along five dimensions: (1) evaluations (agreement, disagreement, or unresponsive actions); (2) knowledge content (contribution, repetition, or null content); (3) social cues (positive, negative, or none); (4) personal information (number of visits); and (5) elicitation (eliciting response or not). Using dynamic multilevel analysis (DMA) and a structural equation model (SEM), this study analyzed 131 messages of 47 participants across seven topics in the mathematics forum of a university Bulletin Board System (BBS) Website. Results showed that a disagreement or contribution in the previous message yielded more disagreements and social cue displays in the current message. Unlike face-to-face discussions, online discussion messages that disagreed with a previous message elicited more responses. Together, these results suggest that teachers can use and manage online discussions to promote critical thinking, facilitate discussion of controversial topics, and reduce status effects.
The MspJI family of modification-dependent restriction endonucleases for epigenetic studies

MspJI is a novel modification-dependent restriction endonuclease that cleaves at a fixed distance away from the modification site. Here, we present the biochemical characterization of several MspJI homologs, including FspEI, LpnPI, AspBHI, RlaI, and SgrTI. All of the enzymes specifically recognize cytosine C5 modification (methylation or hydroxymethylation) in DNA and cleave at a constant distance (N12/N16) away from the modified cytosine. Each displays its own sequence context preference, favoring different nucleotides flanking the modified cytosine. By cleaving on both sides of fully modified CpG sites, they allow the extraction of 32-base long fragments around the modified sites from the genomic DNA. These enzymes provide powerful tools for direct interrogation of the epigenome. For example, we show that RlaI, an enzyme that prefers mCWG but not mCpG sites, generates digestion patterns that differ between plant and mammalian genomic DNA, highlighting the difference between their epigenomic patterns. In addition, we demonstrate that deep sequencing of the digested DNA fragments generated from these enzymes provides a feasible method to map the modified sites in the genome. Altogether, the MspJI family of enzymes represent appealing tools of choice for method development in DNA epigenetic studies.
Unfolding method for first-principles LCAO electronic structure calculations

Unfolding the band structure of a supercell to a normal cell enables us to investigate how symmetry breakers such as surfaces and impurities perturb the band structure of the normal cell. We generalize the unfolding method, originally developed based on Wannier functions, to the linear combination of atomic orbitals (LCAO) method, and present a general formula to calculate the unfolded spectral weight. The LCAO basis set is ideal for the unfolding method because the basis functions allocated to each atomic species are invariant regardless of the existence of surface and impurity. The unfolded spectral weight is well defined by the property of the LCAO basis functions. In exchange for the property, the non-orthogonality of the LCAO basis functions has to be taken into account. We show how the non-orthogonality can be properly incorporated in the general formula. As an illustration of the method, we calculate the dispersive quantized spectral weight of a ZrB2 slab and show strong spectral broadening in the out-of-plane direction, demonstrating the usefulness of the unfolding method.
Can Androgyny Be Assessed with a Single Scale?

The measurement of psychological androgyny has been widely discussed in the literature. Several approaches have been tried: simple differences in Masculine-Feminine scores, median splits, and continuous scores. This study was an attempt to determine if a bipolar M-F scale centered with an Androgyny midpoint would yield similar results to those on Bern's widely used measurement of androgyny. The results suggest the concept of androgyny may be specific to the scale used.
Cerebral blood flow using PET measurements of fluoromethane kinetics.

The development of a tomographic method of measuring regional cerebral blood flow, based on positron-emission tomographic determination of the regional cerebral kinetics of fluoromethane (F-18) (methyl fluoride) is reported. The high Ostwald solubility of fluoromethane has allowed development of a blood-flow method that takes advantage of the decades of previous blood-flow investigations with inert tracers, yet provides tomographic determinations at a spatial resolution approaching those of methods based on regional tissue deposition of radioactivity. Refinements of the method are proceeding and with a variety of clinical and research applications.
Code Mixed Entity Extraction in Indian Languages using Neural Networks

In this paper we present our submission for FIRE 2016 Shared Task on Code Mixed Entity Extraction in Indian Languages. We describe a Neural Network system for Entity Extraction in Hindi-English Code Mixed text. Our method uses distributed word representations as features for the Neural Network and therefore, can easily be replicated across languages. Our system ranked first place for Hindi-English with an F1-score of 68.24% .
The Cryptic Adenine Deaminase Gene of Escherichia coli

In Escherichia coli there are two pathways for conversion of adenine into guanine nucleotides, both involving the intermediary formation of IMP. The major pathway involves conversion of adenine into hypoxanthine in three steps via adenosine and inosine, with subsequent phosphoribosylation of hypoxanthine to IMP. The minor pathway involves formation of ATP, which is converted via the histidine pathway to the purine intermediate 5-amino-4-imidazolecarboxamide ribonucleotide and, subsequently, to IMP. Here we describe E. coli mutants, in which a third pathway for conversion of adenine to IMP has been activated. This pathway was shown to involve direct deamination of adenine to hypoxanthine by a manganese-dependent adenine deaminase encoded by a cryptic gene, yicP, which we propose be renamed ade. Insertion elements, located from −145 to +13 bp relative to the transcription start site, activated theade gene as did unlinked mutations in the hnsgene, encoding the histone-like protein H-NS. Gene fusion analysis indicated that ade transcription is repressed more than 10-fold by H-NS and that a region of 231 bp including theade promoter is sufficient for this regulation. The activating insertion elements essentially eliminated the H-NS-mediated silencing, and stimulated ade gene expression 2–3-fold independently of the H-NS protein.
Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge.

A method for estimating the cholesterol content of the serum low-density lipoprotein fraction (Sf0-20) is presented. The method involves measurements of fasting plasma total cholesterol, triglyceride, and high-density lipoprotein cholesterol concentrations, none of which requires the use of the preparative ultracentrifuge. Comparison of this suggested procedure with the more direct procedure, in which the ultracentrifuge is used, yielded correlation coefficients of . 94 to . 99, depending on the patient population compared.
Study relation of HbA 1 c with cardiovascular disease risk factors in non-diabetic subjects of Northern-India having coronary artery diseases

The objective is to study relation of HbA1c with cardiovascular disease risk factors in non-diabetic subjects of Northern-India having coronary artery diseases. This hospital based analytic-cross sectional study was conducted in department of medicine at a tertiary care center in Northern-India during the period of March-July, 2012 among 69 admitted cases of CAD. Patients with CAD and had HbA1c 4 6.4 %, FPG< 100 mg/dL (< 5.55 mmol/L) or PPPG< 140 mg/dL(7.77 mmol/L) were included in this study. Patients who had diabetes, acute febrile illness, anemia (Hb< 10 g/dL in female &< 12 g/dL in male), hemoglobinopathy and who did not give informed consent were excluded from the study. CAD was defined based on documented history of myocardial infarction or ECG criteria as per Minnesota codes. Special INTERHEART questionnaires were being used for physical activity and dietary habits. A detail history and clinical examination was carried out. HbA1c was measured by chromatography analyzer (Turbidimetric HPLC method). BMI, WC, serum TC, TG, and LDL increased significantly with higher tertiles of HbA1c similar to known cardiovascular risk factors viz. family H/O premature CAD, dyslipidemia (high TG & low HDL) and obesity, especially, central type(P for trend < 0.05). The mean ± SD HbA1c value in the study cohort was 5.39 ± 0.78%. Mean HbA1c differed statistically significantly in subjects having unhealthy diet, obesity (including central type) and hypertriglyceridemia (p < 0.05). HbA1c had significant correlation with BMI (r=+0.429, p=0.0002), WC (r=+0.4311, p=0.0002), FPG (r=+0.394, p=0.0008), TG (r=+0.4151, p=0.0004), TC (r=+0.356, p=0.0027), LDL (r=+0.290, p=0.0168), and VLDL (r=+ 0.4101, p=0.0005). On multivariate analysis, BMI (β=+0.05, p=0.007) and FPG (β=+0.04, p=0.000) were significantly correlated. When separate correlation was done with FPG as dependent variable, no risk factors were significantly correlated. In non-diabetic CAD patients, HbA1c showed significant association with CVD risk factors i.e. obesity including central type and dyslipidemia (especially hypertriglyceridemia), typical of Asian Indian phenotype. Therefore, HbA1c might be a useful measure even among the non-diabetic population in assessing an individual’s cardiovascular risk.