Miracle-dz/UniFAR-FTUs huggingface dataset:
Computationally efficient and accurate modeling of Li-ion battery

A computationally efficient Li-ion battery model has been proposed in this paper. The battery model utilizes the features of both analytical and electrical circuit modeling techniques. The model is simple as it does not involve a look-up table technique and fast as it does not include a polynomial function during computation. The internal voltage of the battery is modeled as a linear function of the state-of-charge of the battery. The internal resistance is experimentally determined and the optimal value of resistance is considered for modeling. Experimental and simulated data are compared to validate the accuracy of the model.
Optimizing Antidiabetic Treatment Options for Patients with Type 2 Diabetes Mellitus and Cardiovascular Comorbidities

Cardiovascular disease is the leading cause of death in patients with diabetes mellitus and represents a persistent risk that is inextricably linked to the diabetic disease state. The growing number of United States Food and Drug Administration‐approved antidiabetic agents provides a wide range of therapeutic options, both as monotherapy and combination therapy, for treating hyperglycemia in patients with type 2 diabetes. Long‐term clinical experience with many of these agents has revealed nonglycemic effects on lipid levels, inflammation, and cardiovascular function. Although some of these agents can improve cardiovascular disease risk in patients with diabetes, others may increase the risk and may be prohibited from use in certain populations. Thus, the effect of antidiabetic agents on cardiovascular health and safety must be considered when selecting the most appropriate therapy. A review of the current literature was undertaken to examine the effects of antidiabetic agents on cardiovascular disease, and with the help of illustrative patient case examples, useful information is provided for clinicians to individualize therapy for patients with type 2 diabetes.
The Effects of Personality Traits and Conflict Mana gement on Organizational Commitment - A Case Study of Taiwan Financial Services Personnel

Moberg(2001) pointed out that people with different personality traits deal in different ways with con flicts. Therefore, this research used questionnaire trying to understand the different of service people in ba nks with different attribute in personality traits and conflict manage ment, the relation of personality traits and confli ct management, and the relation of conflict management and organizatio nal commitment. The total of 1,110 questionnaires w ere distributed, and 912 questionnaires were collected, 856 copies o r 77 percent questionnaires were effective. The res ult show banking managers’ personality traits and conflict managemen t are influenced by age and department of personal attribute. Banking subordinates’ personality traits are influe nced by gender, age, education degree, working age and service department of personal attribute; Banking subordina tes conflict management are influenced by gender, a ge, education degree and working age of personal attribute. Banki ng managers’ personality traits are partial correla tions to the conflict management. Banking subordinates’ persona lity traits are partial correlations to the conflict management; banking managers’ conflict management are partial c orrelations to the organizational commitment; banki ng
Assessing Team Functioning In Engineering Education

The present study used a series of team process checks modeled on those developed at Arizona State University to assess team functioning. Team members completed these forms individually and then collectively the members assessed the team as a whole. These process checks were compared to faculty ratings of the teams. The students’ individual knowledge about teaming skills was also assessed and the relationship of these various measures to performance was examined. Two distinct dimensions of team functioning appear to be measured by the team process check: agency and affiliation. The process checks were positively correlated with faculty ratings, and the agency dimension of the scale predicted team project scores in one of the classes evaluated but not in the other two.
The Well-Being of Persons Remarried after Divorce1

further evidence on the marital and global happiness of persons remarried after divorce. The findings are generally consistent with those from earlier studies. Persons remarried after divorce were found t o have had rather high levels of reported well-being, but ever-divorced women reported lower aggregate marital happiness than never-divorced married women (or than ever-divorced married men), and the difference was not explained by race, age, or socioeconomic variables. A history of marital failure was unrelated t o the reported global happiness of married persons except among white women, and the slightly lower reported global happiness of ever-divorced than of never-divorced married white women was fully explained by the lower marital happiness of the former. These findings indicate remarkably small long-term negative effects of marital failure on the well-being of persons who remarry after divorce.
Sensitivity to Gibberellin of Dwarf Foxtail Millet Varieties

ABSTRACTDwarf mutants identifi ed from various crop species have been extensively used as valuable resources for breeding lodging resistant elite cultivars. The response of dwarf lines to gibberellic acid 3 (GA 3 ) is important for dwarf mutant identifi cation and classifi cation. Forty-eight foxtail millet [ Setaria italica (L.) P. Beauv. ] dwarf lines collected from different breeding programs in China were tested for their response to GA 3 at the seedling stage. Forty-six of the samples were identifi ed as being sensitive to GA 3 treatments and two lines, 84133chunhe and Xianai, were identifi ed as insensitive. For most sensitive lines, seedling, leaf, mesocotyl, and coleoptile showed positive reaction to GA 3, increasing their length at most of the concentrations. Root responses to GA 3 were diverse but mostly negative. The mesocoty1 is the most sensitive to GA 3 solutions with concentrations between 30 and 50 mg kg –1 and is suggested as the best test for gibberellic acid (GA) sensitivity in foxtail millet. The results in this paper indicate that multiple dwarfi ng genes might exist in foxtail millet and that these dwarf lines will be useful for further studies.J. Qian, H. Zhi, W. Li, Y. Wang, H. Li, and X. Diao, Foxtail Millet Improvement Center of China, Institute of Millet Crops, Hebei Academy of Agricultural and Forestry Science, Shijiazhuang, 050031, China; G. Jia, H. Zhi, and X. Diao, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Z. Shang, College of Life Sciences, Hebei Normal Univ., Shijiazhuang, 050012, China; A.N. Doust, Dep. of Botany, Oklahoma State Univ., Stillwater, OK 74078. Received 4 Apr. 2011. *Corresponding author (xmdiao@yahoo.com.cn) or (zhihuidiao@yahoo.com.cn).
Vascular Health and Risk Management Dovepress Open Access to Scientific and Medical Research Open Access Full Text Article Dovepress Prevention of Diabetes in Hypertensive Patients: Results and Implications from the Value Trial

A growing number of experimental and clinical studies have provided evidence indicating that pharmacological blockade of the renin–angiotensin system (RAS) by either angiotensin-converting enzyme inhibitors or angiotensin type 1 receptor blockers reduces the incidence of new onset type 2 diabetes in subjects with hypertension and/or cardiovascular disease, independently of antihypertensive and cardiovascular protective effects. The beneficial effects of RAS inhibition on the development of diabetes have been largely attributed to improvements in peripheral insulin sensitivity and glucose metabolism. This review focuses on recent experimental and clinical evidence supporting the role of RAS inhibition in the reduction of new onset type 2 diabetes and the mechanisms that may be involved.
Public anxiety, trust, and the role of mediators in communicating risk of exposure to low dose radiation after the Fukushima Daiichi Nuclear Plant explosion

The explosion at the Fukushima Nuclear Plant highlighted serious social concerns about risk communications; the public found it difficult to take preventive actions based on scientific information of radioactive fallout. We investigated public perception of the risks from low dose radiation and the role of information providers through the Internet survey focusing on parents in four Japanese regional groups. Mothers felt more anxious than fathers in Fukushima but not in further groups, and that the furthest group felt the most ambiguous anxiety. Their anxiety derived from distrust of the government and uncertainty about scientific information, rather than the lack of knowledge although risk communication emphasized learning the scientific mechanism. The mediators should provide more information for individual decision-making of day-to-day risk management in regions with different levels of radiological contamination; key issues include improving parents’ perceived control to their lives and easing their tension of responsibility to children’s health.
Subtle gaze guidance for immersive environments

Immersive displays allow presentation of rich video content over a wide field of view. We present a method to boost visual importance for a selected - possibly invisible - scene part in a cluttered virtual environment. This desirable feature enables to unobtrusively guide the gaze direction of a user to any location within the immersive 360° surrounding. Our method is based on subtle gaze direction which did not include head rotations in previous work. For covering the full 360° environment and wide field of view, we contribute an approach for dynamic stimulus positioning and shape variation based on eccentricity to compensate for visibility differences across the visual field. Our approach is calibrated in a perceptual study for a head-mounted display with binocular eye tracking. An additional study validates the method within an immersive visual search task.
Constitutive Activation of Ectodermal β-Catenin Induces Ectopic Outgrowths at Various Positions in Mouse Embryo and Affects Abdominal Ventral Body Wall Closure

Vertebrate limbs originate from the lateral plate mesoderm (LPM) and the overlying ectoderm. While normal limb formation in defined regions has been well studied, the question of whether other positions retain limb-forming potential has not been fully investigated in mice. By ectopically activating β-catenin in the ectoderm with Msx2-cre, we observed that local tissue outgrowths were induced, which either progressed into limb-like structure within the inter-limb flank or formed extra tissues in other parts of the mouse embryo. In the presumptive abdominal region of severely affected embryos, ectopic limb formation was coupled with impaired abdominal ventral body wall (AVBW) closure, which indicates the existence of a potential counterbalance of limb formation and AVBW closure. At the molecular level, constitutive β-catenin activation was sufficient to trigger, but insufficient to maintain the ectopic expression of a putative limb-inducing factor, Fgf8, in the ectoderm. These findings provide new insight into the mechanism of limb formation and AVBW closure, and the crosstalk between the Wnt/β-catenin pathway and Fgf signal.
The Spitzer c2d Survey of Large, Nearby, Interstellar Clouds. VII. Ophiuchus Observed with MIPS

We present maps of 14.4 deg2 of the Ophiuchus dark clouds observed by the Spitzer Space Telescope Multiband Imaging Photometer for Spitzer (MIPS). These high-quality maps depict both numerous point sources and extended dust emission within the star-forming and non-star-forming portions of these clouds. Using PSF-fitting photometry, we detect 5779 sources at 24 μm and 81 sources at 70 μm at the 10 σ level of significance. Three hundred twenty-three candidate young stellar objects (YSOs) were identified according to their positions on the MIPS/2MASS K versus K − [ 24] color-magnitude diagrams, as compared to 24 μm detections in the SWIRE extragalactic survey. We find that more than half of the YSO candidates, and almost all those with protostellar Class I spectral energy distributions, are confined to the known cluster and aggregates.
Using statistical analysis and support vector machine classification to detect complicated attacks

Anomaly detection systems can detect unknown attacks, but they have a high false alarm rate. This article introduces our prototype that uses statistical analysis and support vector machine classifier to detect complicated attacks. We research the sampling methods of statistical analysis techniques, and propose a new statistical model named Smooth K-Windows. An improved support vector machine classifier that has higher accuracy is proposed after analyzing the reason why support vector machine makes misclassifications. The experimental results show that the prototype system can detect complicated attacks in which the attackers stash their behavior by changing it gradually.
CULICOIDES SPP . LATREILLE ( DIPTERA : CERATOPOGONIDAE ) VECTOR OF SEVERAL HUMAN DISEASES – A

One of the smallest, fiercest biters belongs to the genus Culicoides (Diptera: Ceratopogonidae) with amazing ability to transmit 53 arboviruses, 12 species of protozoans and 18 species of filarial nematodes. This genus is distributed on major landmasses of the world with the exceptions of a few regions. In recent years it has assumed worldwide significance due to its role in the transmission of Bluetongue virus in wild and domestic animals. However, the most neglected area is our lack of understanding of the role of Culicoides spp. and their ability to transmit pathogens of several human diseases. This article briefly discusses the pathogens vectored by the biting midges and focuses on the neglected and emerging diseases of human. In addition to that they were also presumed to carry other pathogenic parasites. Some of the humanoid pathogens vectored by these midges are Mansonella ozzardi, Mansonella perstans and Mansonella streptocerca. Among viruses, primarily Oropouche virus is transmitted; Vesicular Stomatitis Indiana virus and Rift valley fever virus are also being isolated from the midges however the incidence of such occurrence is rare.
Silymarin Inhibits Cytokine-Stimulated Pancreatic Beta Cells by Blocking the ERK1/2 Pathway

We show that silymarin, a polyphenolic flavonoid isolated from milk thistle (Silybum marianum), inhibits cytokine mixture (CM: TNF-α, IFN-γ, and IL-1β)-induced production of nitric oxide (NO) in the pancreatic beta cell line MIN6N8a. Immunostaining and Western blot analysis showed that silymarin inhibits iNOS gene expression. RT-PCR showed that silymarin inhibits iNOS gene expression in a dose-dependent manner. We also showed that silymarin inhibits extracellular signal-regulated protein kinase-1 and 2 (ERK1/2) phosphorylation. A MEK1 inhibitor abrogated CM-induced nitrite production, similar to silymarin. Treatment of MIN6N8a cells with silymarin also inhibited CM-stimulated activation of NF-κB, which is important for iNOS transcription. Collectively, we demonstrate that silymarin inhibits NO production in pancreatic beta cells, and silymarin may represent a useful anti-diabetic agent.
A 4-fold risk of metabolic syndrome in patients with schizophrenia: the Northern Finland 1966 Birth Cohort study.

OBJECTIVE Schizophrenia is associated with a shortened life expectancy and increased somatic comorbidity with, e.g., cardiovascular disorders. One major risk factor for these disorders is the metabolic syndrome, which has been reported to have a higher frequency in schizophrenic patients. Our objective was to study the prevalence of metabolic syndrome in a population-based birth cohort. METHOD The study sample consisted of 5613 members of the Northern Finland 1966 Birth Cohort who participated in the field study from 1997 to 1998. Subjects were divided into 4 diagnostic categories (DSM-III-R): (1) schizophrenia (N = 31), (2) other functional psychoses (N = 22), (3) nonpsychotic disorders (N = 105), and (4) no psychiatric hospital treatment (N = 5455, comparison group). Subjects were assessed for the presence of metabolic syndrome according to the criteria of the National Cholesterol Education Program. RESULTS The prevalence of metabolic syndrome was higher in subjects with schizophrenia compared with the comparison group (19% vs. 6%, p = .010). The prevalence of metabolic syndrome in subjects with other psychoses was 5%. After controlling for sex, the results of logistic regression analysis showed that the risk of metabolic syndrome in schizophrenia was 3.7 (95% CI = 1.5 to 9.0). CONCLUSIONS The high prevalence of metabolic syndrome in schizophrenia even at such a relatively young age underscores the need to select antipsychotic medications with no or little capability to induce metabolic side effects. Also, developing comprehensive efforts directed at controlling weight and diet and improving physical activity are needed.
An uncertain diagnostic system of the constructional and technological preferences

In this paper will be defined the diagnostic agent that finds information about the constructional and technological preferences of the customers for a reference technical object. Based on this agent can be implemented an uncertain system that can be used to define customers preferences. For imprecise information from users this system would give their preferences and exact data which can be used to improve production.
First Impressions in Human--Agent Virtual Encounters

In greeting encounters, first impressions of personality and attitude are quickly formed and might determine important relational decisions, such as the likelihood and frequency of subsequent encounters. An anthropomorphic user interface is not immune to these judgments, specifically when exhibiting social interaction skills in public spaces. A favorable impression may help engaging users in interaction and attaining acceptance for long-term interactions. We present three studies implementing a model of first impressions for initiating user interactions with an anthropomorphic museum guide agent with socio-relational skills. We focus on nonverbal behavior exhibiting personality and interpersonal attitude. In two laboratory studies, we demonstrate that impressions of an agent's personality are quickly formed based on proximity, whereas interpersonal attitude is conveyed through smile and gaze. We also found that interpersonal attitude has greater impact than personality on the user's decision to spend time with the agent. These findings are then applied to a museum guide agent exhibited at the Boston Museum of Science. In this field study, we show that employing our model increases the number of visitors engaging in interaction.
DGQL Occupancy Prediction Model ( DOPM ) 2 . 1 . Motivation and overview

Occupancy prediction is a relatively new domain of research. It has gained momentum over the past decade. Varying approaches have been proposed to profile occupancy of buildings or space. Smart occupancy patterns, once predicted, can be effectively used in modeling energy management systems to achieve energy savings. While doing so, we also take into consideration the potential for occupant discomfort. In this paper, we propose DOPM – an occupancy prediction model built by using Decision Guidance Query Language (DGQL) framework that can optimize prediction rules governing occupancy patterns in a domain. Motive of DOPM is to perform two actions: a) Maximize energy saved in a location and b) limit inconvenience caused to its occupants in the process. This paper presents a generic DOPM model. A case study is developed for occupancy prediction on a university campus setting and the results of running the model will be presented.
A factorization-based projective reconstruction algorithm with circular motion constraint

In this paper, we propose a projective reconstruction algorithm for a circular motion image sequence. We first formulate the circular motion constraint in the Euclidean frame, and then deduce its expression in a projective frame. The circular motion constraint is gradually enforced during the iterations of a projective reconstruction. This approach can be used to deal with both constant and varying intrinsic parameters. Experimental results for synthetic and real data are presented to illustrate the performance and improvements of our approach over methods based on general motion.
Interference from global navigation satellites in future HI intensity mapping surveys

Upcoming HI intensity mapping (IM) surveys will need to achieve unprecedented levels of sensitivity in order to measure the weak integrated emission of extra-galactic HI. Such sensitive surveys will need to overcome many systematic contaminations within the data. One such contaminant originates from the Global Navigation Satellite System (GNSS). Emissions from radio-navigation satellites within the GNSS broadcast across a wide-range of cosmological interesting frequencies (1164 to 1610 MHz), with an in band brightness that is comparable to the Sun. These proceedings use simulations of observations from the upcoming BINGO experiment to explore the effect of GNSS emissions on HI IM data. These simulations are not overly concerned with bright, stochastic events corresponding to a satellite transiting the BINGO main beam response, which can be removed via post-processing of the data. The principle concern is the low-level interactions of the satellites within the side lobes of the BINGO beam and out-of-band transmissions due to the frequency side lobes of the transmitter. The results of these proceedings find that the HI IM signal will be almost three orders-of-magnitude weaker than integrated emission of radio-navigation satellites interacting within the BINGO side lobes. For out-of-band interference, the simulations reveal that the emission from satellites could be comparable to HI signal almost 100 MHz away from the GNSS transmission bands. The implication of these results is that there will be increased challenges for all future HI IM observations of the dark-energy dominated epoch, which includes the proposed BINGO, FAST and SKA1-MID surveys.
Descriptive epidemiology of cases of acute myocardial infarction in Tobago.

OBJECTIVES The goal of this study is to identify co-morbidities associated with acute myocardial infarction in Tobago. METHODS This was a longitudinal retrospective study of myocardial infarction at the Tobago Regional Hospital in two selected periods: January 2007 to April 2007 and January 2008 to April 2008. Data were retrieved from the patients' medical records. These included co-morbid conditions eg hypertension, diabetes mellitus, dyslipidaemia, ESRD, whether history of smoking or cocaine use and if any prior care. In the former period, 11 cases were confirmed as having myocardial infarction and 27 cases in the latter period. RESULTS In 2007 and 2008, all cases had dyslipidaemia (LDL > 100 mg/dL) and were hypertensive. There were 36.4% of cases in 2007 that had diabetes mellitus, compared to 33.3% cases in 2008 and 9.1% had chronic kidney disease in 2007, compared to 25.9% in 2008. CONCLUSION The most common co-morbidities associated with acute myocardial infarction in Tobago are dyslipidaemia, hypertension and diabetes mellitus, with ESRD, smoking and cocaine use less so. Many of these patients had never received prior care.
A MAX-SAT Algorithm Portfolio

The results of the last MaxSAT Evaluations suggest there is no universal best algorithm for solving MaxSAT, as the fastest solver often depends on the type of instance. Having an oracle able to predict the most suitable MaxSAT solver for a given instance would result in the most robust solver. Inspired by the success of SATzilla for SAT, this paper describes the first approach for a portfolio of algorithms for MaxSAT. Compared to existing solvers, the resulting portfolio can achieve significant performance improvements on a representative set of instances.