Miracle-dz/UniFAR-FTUs huggingface dataset:
A supervised learning approach for criminal identification using similarity measures and K-Medoids clustering

Data mining is an efficient tool for extracting the features from large data sets. It is an efficient approach to discover the hidden relationship from the known data and construct new knowledge discovery. In the field of crime detection and criminal identification, data mining tools and algorithms are plays major role. Criminology is a process to identify the crime characteristics and behavior. We have large volume of crime datasets with many attributes leads to more complexity for crime character identification process. Identification of criminal is the main process for further improvement in the police investigation. Data mining tools are best approach for Criminal identification based on characteristic and nature of crime. In this paper, we have proposed a supervised approach for identifying the suspected list of criminal's using similarity measure and K-Medoids cluster algorithm. K-Medoids clustering algorithm groups the more closely related crimes as an individual group and each group will have unique set of features. The unique features set is used for identification of criminal using similarity measure algorithms based on distance measure. The proposed system has two phase, training and testing phase. In this approach, we have trained the proposed system with supervised data set with collected crime information from various places of Tamil Nadu through online available data. In the testing phase, first identify the cluster closest to the test crime by using K-Medoids clustering algorithm and then identify the suspected criminal list using similarity measure. The initial stage of implementation and analysis of the proposed scheme provides good results and high accuracy. The proposed scheme is compared with related K-Means clustering algorithm with same set of training and test.
Update on Reactive Oxygen Species and Systemic Signaling ROS , Calcium , and Electric Signals : Key Mediators of Rapid Systemic Signaling in Plants 1 [ OPEN ]

Department of Botany, University of Wisconsin, Madison, Wisconsin 53706 (S.G.); Department of Plant Genetics, Breeding, and Biotechnology, Faculty of Horticulture, Biotechnology, and Landscape Architecture, Warsaw University of Life Sciences, 02-776 Warsaw, Poland (M.B., M.G., S.K.); Department of Materials and Life Sciences, Faculty of Science and Technology, Sophia University, Chiyoda-ku, 102-8554 Tokyo, Japan (N.S.); and Department of Biological Sciences, College of Arts and Sciences, University of North Texas, Denton, Texas 76203 (A.R.D., R.M.)
A review on PID tuning rules for SOPTD inverse response processes

Most widely used controllers in industries are of PID type. Availability of a number of PID tuning rules for various processes in the literature make difficult for the users to get familiar with all of them. Inverse response processes with time delay frequently occur in chemical process industries. These are difficult to control due to right half plane (RHP)zeros. Although advance control techniques are available but PID controllers because of simplicity and robustness have been used to control these processes. In this work, four PID tuning methods available in literature for underdamped second-order plus time delay (SOPTD) inverse response processes are studied. The study has been done for wide range of positive-zero time constant to time-lag constant ratios and time delay to time-lag constant ratios. Three of them are based on IMC theory having different types of approximations for time delay term and the fourth one on direct synthesis approach (i.e. on desired closed loop specifications). To evaluate the performance of PID controllers, a systematic approach was adopted. Tuning rules suitability according to the regions of applicability are highlighted. Finally work done is concluded with some recommendations.
Membrane Trafficking in the Yeast Saccharomyces cerevisiae Model

The yeast Saccharomyces cerevisiae is one of the best characterized eukaryotic models. The secretory pathway was the first trafficking pathway clearly understood mainly thanks to the work done in the laboratory of Randy Schekman in the 1980s. They have isolated yeast sec mutants unable to secrete an extracellular enzyme and these SEC genes were identified as encoding key effectors of the secretory machinery. For this work, the 2013 Nobel Prize in Physiology and Medicine has been awarded to Randy Schekman; the prize is shared with James Rothman and Thomas Südhof. Here, we present the different trafficking pathways of yeast S. cerevisiae. At the Golgi apparatus newly synthesized proteins are sorted between those transported to the plasma membrane (PM), or the external medium, via the exocytosis or secretory pathway (SEC), and those targeted to the vacuole either through endosomes (vacuolar protein sorting or VPS pathway) or directly (alkaline phosphatase or ALP pathway). Plasma membrane proteins can be internalized by endocytosis (END) and transported to endosomes where they are sorted between those targeted for vacuolar degradation and those redirected to the Golgi (recycling or RCY pathway). Studies in yeast S. cerevisiae allowed the identification of most of the known effectors, protein complexes, and trafficking pathways in eukaryotic cells, and most of them are conserved among eukaryotes.
Mobile UX -- The Next Ten Years?

Mobile phones are the ubiquitous platform used by billions of people globally, every day. However, two concerns signal a pause for reflection and change. First, while mobiles have rapidly become indispensable, the effect that constant device use has on our lives, our experiences, and the interactions we have with others, has caused growing discomfort [4, 7]. At the same time, there is a broad sense that mainstream mobile devices have fallen into a period of innovation limbo, with recent releases seemingly being distinguished only by ever narrowing feature gaps. As a recent Economist article bleakly reports, "More black rectangles made their debut" [2]. This course will challenge attendees to play a part in reinvigorating mobile interaction design. We celebrate the success that is apps, services, and the hugely popular ecology of mobile devices, but want to promote a return to radical innovation. We have been fortunate enough to have collaborated with a broad range of industrial and academic researchers and practitioners over many years. More importantly, however, we have worked with a wide range of people who are not considered to be typical "future makers," and are also not usually considered when designing mobile user experiences. Typically these people - who have been called "emergent" users [1] - are often drawn from developing regions, with lower literacy, lower socioeconomic conditions, and other constraints. Our experience in working with these people has demonstrated how their unique and contrasting outlooks on both technology and the world and ways of seeing it are invaluable in generating radically new and exciting digital innovations.
On heating induction motor rotor at start-up of high-inertia mechanisms

Paper is devoted to epy research of start-up modes of high-inertial asynchronous electric drives. Here we consider the case of a start with a constant rotational speed of the stator magnetic field. For high-inertia drives, the starting process is very long and can be accompanied by a significant motor overheating. Analytically, as well as using computer simulation, the following is shown: — The larger is the motor size (with other things being equal) — the stronger is the problem of heating the rotor winding in the starting modes; — The lower is the rated motor speed with the same power and the same mechanism, the less is the heating of the rotor winding in the starting modes (at gear ratio of the gearbox corresponding to the rated motor speed and the required speed of the mechanism); — By adjusting the acceleration time when starting an induction motor with thyristor voltage converter it is impossible to solve the problem of the rotor winding overheating.
Research on the parametric array's acoustic characteristics in layered medium

The parametric array can eradiate high directivity, low frequency beams with a small aperture, so it has gained wide attention in underwater acoustic engineering. Meanwhile, the parametric array's conversion efficiency is very low, severely restrict the parametric array's further application. In order to improve the conversion efficiency, this report used the KZK equation to calculate the parametric array's acoustic characteristics in the layered medium. Results showed that the maximum values of the difference wave always appeared at the junction of the layered medium, and the layered medium with larger nonlinear parameter, smaller velocity and lower attenuation coefficient has a larger conversion efficiency. The report may provide theoretical guidance for the parametric array's future applications.
Predictive value of the area of expanded cumulus mass on development of porcine oocytes matured and fertilized in vitro.

The objective of the present study was to investigate the correlation between the degree of cumulus expansion and in vitro development of porcine cumulus-oocytes complexes (COCs) matured and fertilized in vitro. The COCs were matured in the maturation medium (IVMM) supplemented with 15% or 5% of porcine follicular fluid (PFF) from small, medium and large follicles (<2 mm, 2-5 mm and >5 mm, respectively). COCs cultured in IVMM with PFF for 48 h displayed less expansion than those cultured in IVMM alone (P<0.05), irrespective of follicle size. After culture for 24 h in IVMM with PFF and for another 24 h in IVMM alone, the degree of cumulus expansion was more prominent than culture in the presence of PFF for the entire 48 h period (P<0.05), but the percentages of oocytes with PB I showed no significant difference between the control and experimental groups (P>0.05). After in vitro fertilization, the oocytes failed to develop to the morula/blastocyst stages except for those matured in IVMM supplemented with 15% or 5% PFF obtained from >5 mm follicles for the first 24 h and followed by in IVMM alone for the second 24 h (12.5% and 11.1% of the embryos developed to morulae and blastocysts, respectively). The expanded cumulus areas of COCs were significantly positively correlated with their in vitro development (p=0.0058, 0.0001 and 0.0348 for the percentages of embryos developed to 2-4 cell, beyond 4 cell and morula and blastocyst stages, respectively). In conclusion, PFF had an inhibiting effect on cumulus expansion, and the inhibitory effect decreased progressively with the increase in size of follicles from which PFF was obtained, and the action of PFF on cumulus expansion was affected by the PFF culture time. The areas of the expanded cumulus mass may be used as a parameter to predict development of porcine oocytes matured and fertilized in vitro.
An architecture for energy-efficient hybrid full adder and its CMOS implementation

In this paper an energy-efficient hybrid 1-bit full adder design is reported. The main aim of our work is to achieve low power and high speed design goals. The proposed hybrid adder is used the combination of CMOS logic (Complementary Metal Oxide Semiconductor) and transmission gate (TG) logic. The circuit has been implemented using Tanner EDA tools in 90 nm technology. Performance parameters such as power and delay have been compared with the existing designs such as complementary pass-transistor logic based adder, transmission gate logic based adder, transmission function adder, hybrid adders, and so on. Power consumption of the proposed adder is found to be 0.1292 μw at 90 nm for 1.2 V supply and delay in the signal propagation is measured as 0.0247 ns for 90 nm technology. It means that proposed adder consuming extremely low power and low propagation delay than existing designs for the same testing environment. Power Delay Product (PDP) is considered as product of power and delay values signifies energy requirement of the design.
Neuroticism, extraversion, life events and depression

Background Certain personality traits may mediate the relationship between familiality and adversity in causing depression. Aims To examine whether the neuroticism and extraversion scales ofthe Eysenck Personality Inventory (EPI) represent enduring traits underlying the vulnerability to respond to adversity by developing depressive episodes. Method A total of 108 subjects with depression and their siblings were compared with 105 healthy control subjects and their siblings. All were interviewed using the Schedules for the Clinical Assessment of Neuropsychiatry and the Life Events and Difficulties Schedule. Subjects also completed the EPI. Results Both neuroticism and extraversion were familial and correlated with mood and life event measures. There were no differences on either measure between the never-depressed siblings of probands with depression and controls. Regression analyses showed that the major influence on neuroticism was current mood. Conclusions Neither extraversion nor neuroticism measures trait vulnerability to depression, and neuroticism scores mainly reflect symptoms of depression.
Neural Correlates of Speed-Tuned Motion Perception in Healthy Adults

It has been suggested that slow and medium-to-fast speeds of motion may be processed by at least partially separate mechanisms. The purpose of this study was to establish the cortical areas activated during motion-defined form and global motion tasks as a function of speed, using functional magnetic resonance imaging. Participants performed discrimination tasks with random dot stimuli at high coherence, at coherence near their own thresholds, and for random motion. Stimuli were moving at 0.1 or 5 deg/s. In the motion-defined form task, lateral occipital complex, V5/MT+ and intraparietal sulcus showed greater activation by high or near-threshold coherence than by random motion stimuli; V5/MT+ and intraparietal sulcus demonstrated greater activation for 5 than 0.1 deg/s dot motion. In the global motion task, only high coherence stimuli elicited significant activation over random motion; this activation was primarily in nonclassical motion areas. V5/MT+ was active for all motion conditions and showed similar activation for coherent and random motion. No regions demonstrated speed-tuning effects for global motion. These results suggest that similar cortical systems are activated by slow- and medium-speed stimuli during these tasks in healthy adults.
Implementation and optimization of image acquisition with smartphones in computer vision

With many emerging function modules, such as image acquisition, front-end local processing, wireless transmission and so on, the smartphone becomes a major front-end hardware in the mobile-cloud computer vision system. However, due to the limitations of local resources and camera performance, there are many problems in image acquisition with smartphones. For example, the images are not as clear as those captured by professional camera equipment. And the performance of image acquisition is much more sensitive to background procedures and environment. These shortcomings have brought great challenges in terms of accuracy and delay in computer vision. In this paper, the Resolution Adaptive Algorithm (RAA) is proposed to select the optimal resolution for image acquisition in different situations. Furthermore, in order to improve the efficiency of local resources and reduce the processing delay, a low-quality image filtered method is presented to delete the invalid images. In our experiment, the average delay between image acquisition and display is about 100ms, which meets the requirement of detection in real time.
Molecular Hydrogen in Star-forming Regions: Implementation of its Microphysics in CLOUDY

Much of the baryonic matter in the universe is in the form of H2, which includes most of the gas in Galactic and extragalactic interstellar clouds. Molecular hydrogen plays a significant role in establishing the thermal balance in many astrophysical environments and can be important as a spectral diagnostic of the gas. Modeling and interpretation of observations of such environments requires a quantitatively complete and accurate treatment of H2. Using this microphysical model of H2, we present illustrative calculations of prototypical astrophysical environments. This work forms the foundation for future investigations of these and other environments in which H2 is an important constituent.
Shared aggregate sets in answer set programming

Abstract Aggregates are among the most frequently used linguistic extensions of answer set programming. The result of an aggregation may introduce new constants during the instantiation of the input program, a feature known as value invention. When the aggregation involves literals whose truth value is undefined at instantiation time, modern grounders introduce several instances of the aggregate, one for each possible interpretation of the undefined literals. This paper introduces new data structures and techniques to handle such cases, and more in general aggregations on the same aggregate set identified in the ground program in input. The proposed solution reduces the memory footprint of the solver without sacrificing efficiency. On the contrary, the performance of the solver may improve thanks to the addition of some simple entailed clauses which are not easily discovered otherwise, and since redundant computation is avoided during propagation. Empirical evidence of the potential impact of the proposed solution is given.
Do Plant Populations Purge Their Genetic Load? Effects of Population Size and Mating History on Inbreeding Depression

▪ Abstract Inbreeding depression critically influences both mating system evolution and the persistence of small populations prone to accumulate mutations. Under some circumstances, however, inbreeding will tend to purge populations of enough deleterious recessive mutations to reduce inbreeding depression (ID). The extent of purging depends on many population and genetic factors, making it impossible to make universal predictions. We review 52 studies that compare levels of ID among species, populations, and lineages inferred to differ in inbreeding history. Fourteen of 34 studies comparing ID among populations and species found significant evidence for purging. Within populations, many studies report among-family variation in ID, and 6 of 18 studies found evidence for purging among lineages. Regression analyses suggest that purging is most likely to ameliorate ID for early traits (6 studies), but these declines are typically modest (5–10%). Meta-analyses of results from 45 populations in 11 studies revea.
Prognosis of differentiated thyroid cancer in relation to serum thyrotropin and thyroglobulin antibody status at time of diagnosis.

BACKGROUND Serum thyrotropin (TSH) concentration and thyroid autoimmunity may be of prognostic importance in differentiated thyroid cancer (DTC). Preoperative serum TSH level has been associated with higher DTC stage in cross-sectional studies; data are contradictory on the significance of thyroid autoimmunity at the time of diagnosis. OBJECTIVE We sought to assess whether preoperative serum TSH and perioperative antithyroglobulin antibodies (TgAb) were associated with thyroid cancer stage and outcome in DTC patients followed by the National Thyroid Cancer Treatment Cooperative Study, a large multicenter thyroid cancer registry. METHODS Patients registered after 1996 with available preoperative serum TSH (n=617; the TSH cohort) or perioperative TgAb status (n=1770; the TgAb cohort) were analyzed for tumor stage, persistent disease, recurrence, and overall survival (OS; median follow-up, 5.5 years). Parametric tests assessed log-transformed TSH, and categorical variables were tested with chi square. Disease-free survival (DFS) and OS was assessed with Cox models. RESULTS Geometric mean serum TSH levels were higher in patients with higher-stage disease (Stage III/IV=1.48 vs. 1.02 mU/L for Stages I/II; p=0.006). The relationship persisted in those aged ≥45 years after adjusting for sex (p=0.01). Gross extrathyroidal extension (p=0.03) and presence of cervical lymph node metastases (p=0.003) were also significantly associated with higher serum TSH. Disease recurrence and all-cause mortality occurred in 37 and 38 TSH cohort patients respectively, which limited the power for survival analysis. Positive TgAb was associated with lower stage on univariate analysis (positive TgAb in 23.4% vs. 17.8% of Stage I/II vs. III/IV patients, respectively; p=0.01), although the relationship lost significance when adjusting for age and sex (p=0.34). Perioperative TgAb was not an independent predictor of DFS (hazard ratio=1.12 [95% confidence interval=0.74-1.69]) or OS (hazard ratio=0.98 [95% confidence interval=0.56-1.72]). CONCLUSIONS Preoperative serum TSH level is associated with higher DTC stage, gross extrathyroidal extension, and neck node metastases. Perioperative TgAb is not an independent predictor of DTC prognosis. A larger cohort is required to assess whether preoperative serum TSH level predicts recurrence or mortality.
When orthologs diverge between human and mouse

Despite the common assumption that orthologs usually share the same function, there have been various reports of divergence between orthologs, even among species as close as mammals. The comparison of mouse and human is of special interest, because mouse is often used as a model organism to understand human biology. We review the literature on evidence for divergence between human and mouse orthologous genes, and discuss it in the context of biomedical research.
Behavior analysis of RBM for estimating latent factor vectors from rating matrix

This paper analyzes the behavior of Restricted Boltzmann Machine (RBM) when it is applied to estimate latent factor vectors from rating matrix. Recently some RBM models are applied to predict ratings for recommendation systems. However, some papers also pointed out that RBM-based recommender systems could not achieve a clear improvement compared with conventional methods like Singular Value Decomposition (SVD) despite using more advanced and higher-cost statistical model. While the reason of low performance should be revealed by analyzing RBM's behavior, detailed analysis has not yet been investigated. This paper proposes alternative implementation of RBM-based collaborative filtering and analyzes its behavior. Experimental results with artificial datasets shows that it retrieves completely original latent vectors in some cases.