Miracle-dz/UniFAR-FTUs huggingface dataset:
Internet Addiction and Family Achievement,Control,Organization

Objective: To inquire into the situation of the Internet Addiction among the senior middle school students and to study the influence of several family environment factors, i.e., Family Achievement, Control, Organization. Methods:Totally 800 students who were sampled from six senior middle schools by cluster sampling were tested by IAD Scale (internet addiction disorder scale), FES-CV and self designed Internet Usage Inventory. Results:1) the incidence of internet addiction among the urban senior middle school students was 5.0%; the incidences of IAD have no significant differences in gender ,grade and school nature (P= 0.414, 0.356, 0.112, respectively); 2) of all the three family environment factors, the family organization had the greatest predictability to IAD(b=-0.155). Conclusion: The IAD of senior middle school students is associated with family achievement, control, organization.
Genetic Algorithm for optimizing cutting conditions of uncoated carbide (WC-Co) in milling machining operation

This paper presents the capability of Genetic Algorithm (GA) technique in obtaining the optimal machining parameters for uncoated carbide (WC-Co) tool to minimize the surface roughness (Ra) value in milling process. The optimal machining parameters are generated using MATLAB Optimization toolbox. Regression technique is applied to create the surface roughness predicted equation to be taken as a fitness function of the GA. Result of this study indicated that the GA technique capable to estimate the optimal cutting conditions that yields to the minimum Ra value. With high speed, low feed and high radial rake angle of the cutting conditions rate, GA technique recommended 0. 17533µm as the best minimum predicted surface roughness value. Consequently, the GA technique has decreased the minimum surface roughness value of the experimental data by about 25.7 %.
Ketamine Psychedelic Psychotherapy: Focus on its Pharmacology, Phenomenology, and Clinical Applications

Meant to be an authoritative guide for psychiatrists and others interested in understanding and applying ketamine psychedelic psychotherapy (KPP), this paper focuses on its pharmacology, phenomenology, and clinical applications. Ketamine is a dissociative anesthetic widely used by physicians and veterinarians in the United States. In addition to its anesthetic and dissociative properties, ketamine also has a multitude of other psychological and pharmacological properties, which include analgesic, sedative, neuroprotective, anxiolytic, antidepressant, stimulant, euphoriant, and hallucinogenic effects. The literature on the clinical application of KPP is comprehensively reviewed, practical advice for using KPP is given, and the pharmacology and phenomenology of ketamine-induced psychedelic experiences are explored, including in relationship to transpersonal healing and possible iatrogenic consequences of misuse of KPP.
Influence of Uniform Noise on Two Light-Controlled oscillators

We study the influence of uniform noise on a system of two light-controlled oscillators (LCOs) under three different configurations: uncoupled, master–slave and mutually coupled LCOs. We find that noise can induce desynchronization via a phase transition-like phenomenon depending on the noise intensity and the characteristics of the LCOs.
Cytokinesis in Trypanosoma brucei differs between bloodstream and tsetse trypomastigote forms: implications for microtubule‐based morphogenesis and mutant analysis

Trypanosomes use a microtubule‐focused mechanism for cell morphogenesis and cytokinesis. We used scanning electron and video microscopy of living cells to provide the first detailed description of cell morphogenesis and cytokinesis in the early‐branching eukaryote Trypanosoma brucei. We outline four distinct stages of cytokinesis and show that an asymmetric division fold bisects the two daughter cells, with a cytoplasmic bridge‐like structure connecting the two daughters immediately prior to abscission. Using detection of tyrosinated α‐tubulin as a marker for new or growing microtubules and expression of XMAP215, a plus end binding protein, as a marker for microtubule plus ends we demonstrate spatial asymmetry in the underlying microtubule cytoskeleton throughout the cell division cycle. This leads to inheritance of different microtubule cytoskeletal patterns and demonstrates the major role of microtubules in achieving cytokinesis. RNA interference techniques have led to a large set of mutants, often with variations in phenotype between procyclic and bloodstream life cycle forms. Here, we show morphogenetic differences between these two life cycle forms of this parasite during new flagellum growth and cytokinesis. These discoveries are important tools to explain differences between bloodstream and procyclic form RNAi phenotypes involving organelle mis‐positioning during cell division and cytokinesis defects.
Exploiting Insurance Telematics for Fun and Profit

Nowadays, auto insurance companies set personalized insurance rate based on data gathered directly from their customers' cars. In this paper, we show such a personalized insurance mechanism -- wildly adopted by many auto insurance companies -- is vulnerable to exploit. In particular, we demonstrate that an adversary can leverage off-the-shelf hardware to manipulate the data to the device that collects drivers' habits for insurance rate customization and obtain a fraudulent insurance discount. In response to this type of attack, we also propose a defense mechanism that escalates the protection for insurers' data collection. The main idea of this mechanism is to augment the insurer's data collection device with the ability to gather unforgeable data acquired from the physical world, and then leverage these data to identify manipulated data points. Our defense mechanism leveraged a statistical model built on unmanipulated data and is robust to manipulation methods that are not foreseen previously. We have implemented this defense mechanism as a proof-of-concept prototype and tested its effectiveness in the real world. Our evaluation shows that our defense mechanism exhibits a false positive rate of 0.032 and a false negative rate of 0.013.
A two-dimensional structured overlay based on flexible routing tables

An overlay network enables a large number of sensor nodes to perform effectively data collection and message delivery. Geographical routing is necessary for applications such as sensor network and it requires the overlay network to reflect nodes' locations. In addition, nodes' locations are generally biased and path lengths on the overlay should be short, in other words, the number of nodes relaying a message should be small. This paper describes a new overlay routing algorithm to perform geographical routing on a two-dimensional space satisfying the above requirements. The proposed algorithms provides unique and desirable features derived from Flexible Routing Tables (FRT), that is a design framework for structured overlays, because the algorithm is designed based on FRT. The derived features are dynamic routing table size and high extensibility. The proposed algorithm adopts P2P Delaunay Network as its topology and forms shortcut links based on estimated number of hops.
Teacher Self-efficacy Scale for Autism: a Validation Study

this population of learners has become one of the most challenging groups to teach; therefore, investigating the processes involved in teaching children with ASD is an important and relevant area of research. This study focuses on teachers' self-efficacy, the beliefs teachers hold about their ability to affect student learning (Bandura, 1997), specifically when teaching students with ASD and aims to provide a psychometrically strong measure by disseminating validation methods other researchers can rely on. The scale produced by this study is called the Teacher Self-Efficacy Scale for Autism (TSEA). This particular study worked to ensure the validation of scores derived from the TSEA, which included an assessment of the TSEA's dimensionality and construct validity. Therefore, we asked: What is the internal structure of the TSEA? What is the relationship between the scores derived from the TSEA and measures intended to assess the same (teacher self-efficacy), related (job satisfaction), and different (self-regulation) constructs? Method An online survey was administered to a convenience sample of 134 certified teachers from the United States, Australia, Canada, and New Zealand, (25 men, 109 women). Self-reports indicated that 92% of the samples were White, 3% Black or African American, 2% Asian, and 3% from other ethnic groups. The mean age of the teachers was 37.81. Teachers indicated their primary teaching role as 38% elementary education, 20% high school, 12% special education, and 30% other subject areas such as physical education, music, or art. Teachers responded not only to the newly developed teacher self-efficacy scale (TSEA), but also to three different scales to provide evidence of validity: a 14-item job satisfaction
Automated Eddy Current Data Analysis

– This paper proposes to present the methods and the algorithms for the data analysis, and the results obtained at the inspection of non irradiated steam generator tubes, made from Incoloy 800 and pressure tubes samples made from Zr2.5%Nb. The data acquisition has been made using two types of transducers: the rotating probe and the inner eddy current transducer with rotating magnetic field.
Occurrence of Anthracnose on Welsh Onion Caused by Colletotrichum circinans

Anthracnose occurred frequently on leaf sheaths of Welsh onions grown in Gangwha island, Korea in November, 2007. The disease incidence was as high as 30% in five fields investigated. A total of 20 single spore isolates of Colletotrichum species were obtained from the affected plants, and all the isolates were identified as Colletotrichum circinans based on their morphological and cultural characteristics. Three isolates of the fungus caused anthracnose symptoms on the leaf sheaths of Welsh onions by artificial inoculation, which were similar to those observed during the field survey. In this study, the mycological and pathological characteristics of C. circinans identified as causing anthracnose of Welsh onions are clarified.
"Superheroes Social Skills": An Initial Study Examining an Evidence-Based Program for Elementary-Aged Students with Autism Spectrum Disorders in a School Setting.

The current study evaluated the effectiveness of a multimedia social skills program in increasing the social engagement skills of 4 elementary-aged students with an autism spectrum disorder. The Superheroes Social Skills for Children with Autism program incorporates several evidence-based practices into one comprehensive curriculum, namely video-modeling, peer-mediated instruction, self-management strategies, and usage of social narratives. Generalization strategies are also embedded in the program. Typically developing peers, serving as “peer buddies,” were nominated by their classroom teachers and participated in the social skills training. The intervention was implemented for 11 weeks with training occurring for 30 minutes twice per week in a public elementary school. Effects were primarily assessed through 10-minute filmed observations taken during both analog free play and recess sessions for baseline, intervention, and follow-up phases. During these observations, each participant’s percentage of time spent socially engaging, including both social initiations and responses, was coded using an adapted version of the Bellini (2007) social observation system. Both effect sizes and the percentage of nonoverlapping data points (PND) were calculated. Preand posttreatment effects were evaluated for the Social Responsiveness Scale (SRS) and the Autism Social Skills Profile (ASSP). Consumer satisfaction, social validity, and treatment integrity factors were also examined.
Formulation and Evaluation of Vaginal Suppositories Containing Lactobacillus

The objective of this study was to develop vaginal suppository containing lactobacillus. Four kinds of vaginal suppositories containing Lactobacillus paracasei HL32 were formulated: 1) a conventional suppository with Witepsol H-15 as a base, 2) a conventional suppository with mixed polyethylene glycols (PEGs) as a base, 3) a hollow-type suppository with Witepsol H-15 as a base and 4) a hollow-type suppository with mixed PEGs as a base. The release studies demonstrated that the hollow-type suppository with mixed PEGs as the base gave the highest release of L. paracasei HL32 and was microbiological stable after storage at 28°C over the period of 3 months. Keywords—Lactobacillus paracasei HL32, vaginal suppository, release study, hollow-type, viability.
Implementing Nonlinear Algorithm in Multimicrophone Signal Processing

We address in this paper a method for blind source separation of multi-microphone signals. The multi-microphone is modelled as a nonlinear mapping system, the nonlinear characteristic takes into consideration the sensor effect and natural phenomena. The observations (recorded signals) are modelled as post nonlinear mixtures. The proposed nonlinear algorithm is a generalization of serial gradient algorithm, cross-correlations, and Gram-Charlier series, which is extended in two ways: (1) to deal with nonlinear mapping, and (2) to be able to adapt to the actual statistical distributions of the sources by estimating the kernel density distribution at the output signals. The theory of the proposed learning algorithm is discussed. Simulations show that the algorithm is able to find the underlying sources from the post-nonlinear mixture observations
Molecular Pathways Molecular Pathways : Coexpression of Immune Checkpoint Molecules : Signaling Pathways and Implications for Cancer Immunotherapy

The expression of immune checkpoint molecules on T cells represents an important mechanism that the immune system uses to regulate responses to self-proteins. Checkpoint molecules include cytotoxic T lymphocyte antigen-4, programmed death-1, lymphocyte activation gene-3, T-cell immunoglobulin and mucin protein-3, and several others. Previous studies have identified individual roles for each of these molecules, but more recent data show that coexpression of checkpoint molecules occurs frequently on cancer-specific T cells as well as on pathogen-specific T cells in chronic infections. As the signaling pathways associated with each checkpoint molecule have not been fully elucidated, blocking multiple checkpoints with specific monoclonal antibodies results in improved outcomes in several chronic viral infections aswell as in awide array of preclinicalmodels of cancer. Recent clinical data suggest similar effects in patients with metastatic melanoma. These findings support the concept that individual immune checkpoint molecules may function through nonoverlapping molecular mechanisms. Here, we review current data regarding immune checkpoint molecule signaling and coexpression, both in cancer and infectious disease, aswell as the results of preclinical and clinicalmanipulations of checkpoint proteins.Clin Cancer Res; 19(18); 4917–24. 2013 AACR. Disclosure of Potential Conflicts of Interest C.G. Drake has a commercial research grant from Bristol-Myers Squibb, has an ownership interest (including patents) in Amplimmune, and is a consultant/advisory board member for Bristol-Myers Squibb, Dendreon, and CoStim. No potential conflicts of interest were disclosed by the other author. CME Staff Planners' Disclosures The members of the planning committee have no real or apparent conflict of interest to disclose.
Entity resolution with evolving rules

Entity resolution (ER) identifies database records that refer to the same real world entity. In practice, ER is not a one-time process, but is constantly improved as the data, schema and application are better understood. We address the problem of keeping the ER result up-to-date when the ER logic "evolves" frequently. A naïve approach that re-runs ER from scratch may not be tolerable for resolving large datasets. This paper investigates when and how we can instead exploit previous "materialized" ER results to save redundant work with evolved logic. We introduce algorithm properties that facilitate evolution, and we propose efficient rule evolution techniques for two clustering ER models: match-based clustering and distance-based clustering. Using real data sets, we illustrate the cost of materializations and the potential gains over the naïve approach.
Nitrogen-Dependent Regulation of De Novo Cytokinin Biosynthesis in Rice: The Role of Glutamine Metabolism as an Additional Signal

Cytokinin activity in plants is closely related to nitrogen availability, and an Arabidopsis gene for adenosine phosphate-isopentenyltransferase (IPT), IPT3, is regulated by inorganic nitrogen sources in a nitrate-specific manner. In this study, we have identified another regulatory system of cytokinin de novo biosynthesis in response to nitrogen status. In rice, OsIPT4, OsIPT5, OsIPT7 and OsIPT8 were up-regulated in response to exogenously applied nitrate and ammonium, with accompanying accumulation of cytokinins. Pre-treatment of roots with l-methionine sulfoximine, a potent inhibitor of glutamine synthetase, abolished the nitrate- and ammonium-dependent induction of OsIPT4 and OsIPT5, while glutamine application induced their expression. Thus, neither nitrate nor ammonium, but glutamine or a related metabolite, is essential for the induction of these IPT genes in rice. On the other hand, glutamine-dependent induction of IPT3 occurs in Arabidopsis, at least to some extent. In transgenic lines repressing the expression of OsIPT4, which is the dominant IPT in rice roots, the nitrogen-dependent increase of cytokinin in the xylem sap was significantly reduced, and seedling shoot growth was retarded despite sufficient nitrogen. We conclude that plants possess multiple regulation systems for nitrogen-dependent cytokinin biosynthesis to modulate growth in response to nitrogen availability.
Low Power Interactive Operating System and SCADA Based Universal Wireless Gateway for Automation Using Cloud Technology

Over the past decade, automation has become a trend in every dimension of the technology namely industrial, automobile, aerospace, defence and information technology. But the automation in different fields demands different platforms. Therefore to achieve uniformity and congruity, this paper provides a UNIVERSAL WIRELESS GATEWAY FOR AUTOMATION to support the automation of all the above mentioned fields. SCADA (Supervisory control and Data Acquisition) and Cloud technologies are the two most rapidly evolving technologies in the last few years. The integration of automation with other technologies always escalates its resourcefulness. So an embedded system is proposed and built to endorse the collaboration of SCADA and Cloud technologies to achieve automation through supervision and control of a system or a set of systems from a remote place over different networks. A low power operating system design techniques is presented to avail the services of the input/output devices consuming less power. This paper also provides a platform to supervise and monitor a huge system and avail the cloud services using minimum resources and cost of implementation.
Metric Measurements and Attachment Levels of the Medial Patellofemoral Ligament: An Anatomical Study in Cadavers

OBJECTIVE To determine the metric measurements and to verify the attachment levels of the medial patellofemoral ligament in human cadavers. METHODS Seventeen knees (eight right and nine left knees) from 10 cadavers (nine male and one female) were dissected and stored in a 10% formaldehyde solution. All of the knees were whole and did not show any macroscopic signs of injuries. RESULTS The medial patellofemoral ligament was present in 88% of the knees studied, localized transversally between the medial femoral epicondyle and the medial margin of the patella. Its dimensions were quite variable, even between the knees of the same individual. The width of the patellar insertion ranged from 16 to 38.8 mm, with a mean of 27.90 mm, and its mean length was 55.67 mm. The margins of the ligament were concave or rectilinear. At the upper margin, the concave form predominated and was better characterized, while at the lower margin, the rectilinear form predominated. CONCLUSIONS The medial patellofemoral ligament is a very distinct structure with variable anatomical aspects and is always located in a plane inferior to the vastus medialis obliquus muscle.
Multi-objective Classification Rule Mining Using Gene Expression Programming

In this paper, the classification rule-mining problem is considered as a multi-objective problem rather than a uni-objective one. Metrics like predictive accuracy and comprehensibility, used for evaluating a rule can be thought of as different criteria of this problem. Predictive accuracy measures the accuracy of the rules extracted from the dataset where as, comprehensibility is measured by the number of attributes involved in the rule and tries to quantify the understandability of the rule. Using these measures as the objectives of rule mining problem, this paper uses gene expression programming to extract some useful and understandable rule. The discovered rule/knowledge is expressed in the form of IF-THEN high-level statement. Gene expression programming recently been introduced as one of the components of evolutionary algorithms and its attributes like simple linear representation and easy to implement, motivate us to use for mining classification rule with multiple objectives. It is often criticized when applied to classification rule mining with multiple objectives, because of the amount of computational resources it requires. However, we believe that it has a lot of potential to perform global search by exploring a large space. The rule antecedent part may contain different combinations of predictor attributes while the consequent part contains only the goal attribute. The searching process is guided by a fitness function considering both predictive accuracy and comprehensibility. Experiments with several benchmark datasets have generated rules for each class with acceptable predictive accuracy and comprehensibility.
Bone morphogenetic protein signaling in vertebrate motor neurons and neuromuscular communication

An accurate communication between motor neurons and skeletal muscle fibers is required for the proper assembly, growth and maintenance of neuromuscular junctions (NMJs). Several signaling and extracellular matrix molecules play stimulatory and inhibitory roles on the assembly of functional synapses. Studies in Drosophila have revealed crucial functions for early morphogens, such as members of the Wnt and Bone Morphogenetic Proteins (BMP) signaling pathways, during the assembly and maturation of the NMJ. Here, we bring together recent findings that led us to propose that BMPs also work in vertebrate organisms as diffusible cues to communicate motor neurons and skeletal muscles.
Reconciling Initiative and Discourse Structure

In this paper we consider how initiative is managed in dialogue. We propose that initiative is subordinate to the intentional hierarchy of discourse structure. In dialogues from the TRAINS corpus we find that inside a segment initiated by one speaker, the other speaker only makes two types of contributions: a special kind of acknowledgment we call forward acknowledgments, and short contributions that add content to the segment. The proposal has important implications for dialogue management: a system only needs to model intentional structure, from which initiative follows.