Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of Diabetes Mellitus Diagnosis Method Based Random Forest Classifier with Particle Swarm Optimization

Diabetes Mellitus (DM) is a chronic metabolism that has symptom in a rise in blood sugar level. In terms of the total number of DM patients worldwide, Indonesia comes in at the seventh position out of 10 nations. DM is a disease that is very dangerous and causes various complications. To mitigate the effects and complications of DM, a diagnosis early on DM is necessary. The diagnosis of DM is generally carried out by an expert doctor who requires a high cost and the diagnosis result tends to be bias in between expert doctors. DM diagnosis method-based machine learning needs to be created to obtain a diagnostic method at an affordable cost. One of the known machine learning methods that can be used to develop DM diagnostic method is Random Forest (RF). It is relatively fast, simple, resistant to outliers and noise, easy to parallelize, avoids overfitting and is a good solution. However, the performance of the RF method is influenced by the selection of its hyperparameters. Appropriate selection of RF hyperparameters will improve the performance of all RF methods. RF hyperparameter selection can be solved by using global algorithm optimization. The Swarm Intelligence (SI) algorithm is one of the optimization methods for solving the optimization with many local optima points. It has many advantages, such as it is resilient, simple to use, does not require derivatives, and can identify a global optimal from multiple local optimums. Particle Swarm Optimization (PSO) is one of SI method that is widely used and has advantages in the balance of exploration and exploitation. To solve this problem, this works proposes a diagnosis DM by using RF-based approach and PSO. From the experimental results, it can be concluded that the proposed method is superior to the conventional RF and for DM diagnosis. The smaller number of particles results the faster in computational time. The different number of particles results not different performance significantly. The experimental results also show that the DM Diagnosis Method Based on the RF with PSO can avoid overfitting condition.
Impact of Interstitial Ni on the Thermoelectric Properties of the Half-Heusler TiNiSn

TiNiSn is an intensively studied half-Heusler alloy that shows great potential for waste heat recovery. Here, we report on the structures and thermoelectric properties of a series of metal-rich TiNi1+ySn compositions prepared via solid-state reactions and hot pressing. A general relation between the amount of interstitial Ni and lattice parameter is determined from neutron powder diffraction. High-resolution synchrotron X-ray powder diffraction reveals the occurrence of strain broadening upon hot pressing, which is attributed to the metastable arrangement of interstitial Ni. Hall measurements confirm that interstitial Ni causes weak n-type doping and a reduction in carrier mobility, which limits the power factor to 2.5–3 mW m−1 K−2 for these samples. The thermal conductivity was modelled within the Callaway approximation and is quantitively linked to the amount of interstitial Ni, resulting in a predicted value of 12.7 W m−1 K−1 at 323 K for stoichiometric TiNiSn. Interstitial Ni leads to a reduction of the thermal band gap and moves the peak ZT = 0.4 to lower temperatures, thus offering the possibility to engineer a broad ZT plateau. This work adds further insight into the impact of small amounts of interstitial Ni on the thermal and electrical transport of TiNiSn.
Personality and Social Psychology Bulletin Rejection Sensitivity Moderates the Impact of Rejection on Self-concept Clarity Rejection Sensitivity Moderates the Impact of Rejection on Self-concept Clarity Processing Dynamics of Rs Ayduk Et Al. / Rejection and Self-concept Clarity 1469 1470 Personality

failure to fulfill belongingness needs may have particularly negative consequences for the self-concept. Despite a prolific literature documenting how failure to achieve acceptance lowers self-for review), there has been relatively little emphasis on the potential impact of rejection on other aspects of the self-concept, such as its organization or stability. Therefore, in the present research, we focused on the effect of rejection on self-concept clarity (SCC; J. D. Campbell, 1990; J. D. Campbell et al., 1996), which captures the extent to which self-knowledge is clearly and confidently defined, internally consistent, and temporally stable. SCC has been shown to be an important marker for adaptive functioning. Specifically, relative lack of clarity in the self-concept correlates with global indicators of compromised functioning such as neuroticism, anxiety, and depression as well as with aggressive reactions to failure (Stucke & Spore, 2002). The existing body of work on SCC suggests that the attainment of personally relevant goals contributes to maintaining a sense of consistency and stability of the self (Lavallee & Campbell, 1995). By the same token, for their comments on an earlier draft of the manuscript. We thank Oliver John and Rodolfo Mendoza-Denton also for serving as judges in Study 1. Finally, we thank Niall Bolger for his statistical guidance in the diary study analyses. Self-concept clarity (SCC) refers to the extent to which self-knowledge is clearly and confidently defined, internally consistent, and temporally stable. Research shows that SCC can be undermined by failures in valued goal domains. Because preventing rejection is an important self-relevant goal for people high in rejection sensitivity (RS), it is hypothesized here that failures to attain this goal would cause them to experience diminished SCC. Study 1, an experimental study, showed that high-RS people's SCC was undermined following rejection but not following an aversive experience unrelated to rejection. Study 2, a daily diary study of couples in relationships, used occurrence of partner conflicts to operationalize rejection. Replicating the findings in Study 1, having a conflict on any given diary day predicted a greater reduction in the SCC of high-compared to low-RS people on the following day. The implications for understanding the conditions under which rejection negatively affects the self-concept are discussed. I t is now widely accepted that the self-concept is rela-tional in nature; its contents, structure, coherence, and associated goals are partly based on the close interper-sonal relationships within which it is embedded (Chen, Boucher, & Tapias, …
Stress is associated with exercise differently among individuals with higher and lower eating disorder symptoms: An ecological momentary assessment study

OBJECTIVE Stress is associated with the maintenance of eating disorders and exercise behaviors. However, it is unclear how stress is associated with exercise and vice-versa among individuals with higher levels of eating disorder symptoms in daily life. The current study tested the moderating effect of eating disorder symptoms on the relationships between (1) daily stress and later exercise behavior and (2) daily exercise behavior and later stress. METHOD Female college students [N = 129, mean age = 19.19 (SD = 1.40)] completed the Eating Disorder Inventory-2. Participants then completed measures of stress and exercise four times daily across seven days using an automated telephone ecological momentary assessment system. Data were analyzed using multilevel models. RESULTS Drive for thinness, bulimic symptoms, and body dissatisfaction significantly moderated the relationship between daily stress and later exercise (ps = .01-.05), such that higher daily stress predicted higher later exercise only in individuals who were low (but not average or high) in drive for thinness, bulimic symptoms, and body dissatisfaction symptoms. DISCUSSION Stress is associated with exercise differentially depending on individuals' eating disorder symptoms. Our findings suggest that only individuals with lower levels of eating disorder symptoms exercise when stressed.
Technology-based Service Proposal Screening: Decision Making Effectiveness and Innovation Success

Purpose Technology-based services (TBS) create substantial value for providers and customers alike. Increasingly short life cycles and high innovation failure rates have turned superior innovation competences into a fundamental source of sustainable competitive advantage. In TBS innovation projects, decision-making in pre-development stages (e.g., in the screening or innovation proposal evaluation stage) is challenging, because TBS proposals are difficult to assess. Decision-makers deal with intangible and often highly complex products, making the decision task very complex. Furthermore, screening decisions are made under conditions of uncertainty and ambiguity. Enhancing decision-making in the screening stage of the innovation process could substantially increase success rates. This article identifies information processingrelated antecedents of effective TBS screening decision-making. Design/methodology/approach Combining the literatures on service innovation, new product screening and decision-making under uncertainty, we identify antecedents of decision-making effectiveness in the TBS proposal screening stage. We develop a range of hypotheses and test them with data from 251 TBS innovation projects. Findings The study demonstrates the importance of decision-making team composition, information use and decision perspective for three dimensions of innovation success. Decision­ maker experience and perspective mediate the effects of the composition of the decision team. Research limitations/implications Further research is needed to investigate the screening decision-making process. We provide a research agenda based on our findings.
Altitudinal differentiation in growth and phenology among populations of temperate-zone tree species growing in a common garden

The aim of the study was to determine whether there are genetic variations in growth and leaf phenology (flushing and senescence) among populations of six woody species (Abies alba Mill., Acer pseudoplatanus L., Fagus sylvatica L., Fraxinus excelsior L., Ilex aquifolium L., and Quercus petraea (Matt.) Liebl. ) along altitudinal gradients, using a common-garden experiment. We found (i) significant differences in phenology and growth among provenances for most species and (ii) evidence that these among-population differences in phenology were related to the annual temperature at the provenance sites for ash, beech, and oak. It is noteworthy that along the same climatic gradient, species can exhibit opposing genetic clines: beech populations from high elevations flushed earlier than those from low elevations, whereas we observed the opposite trend for ash and oak. For most species, significant altitudinal clines for growth were also revealed. Finally, we highlighted the fact that both phenology timing and gro.
Boron concentrations in milk from mothers of full-term and premature infants.

BACKGROUND Boron is a bioactive element that satisfies several of the criteria for essentiality in humans. OBJECTIVE The objective was to establish the profile of boron metabolism in human milk. DESIGN Lactating mothers of premature (PRT; n = 10, <2000 g birth weight, <37 wk gestation) and full-term (FT; n = 10, >2500 g, 39-41 wk gestation) infants living in St John's, Canada, collected milk samples once a week for 12 wk. Samples were analyzed for boron, copper, iron, selenium, and zinc by atomic emission or absorption spectrometry after wet-ash digestion with nitric acid and hydrogen peroxide in polytetrafluoroethylene tubes. RESULTS A mixed-model analysis of variance indicated that boron concentrations were stable in full-term (30 and 28 mug/L milk; P = 0.5) but not in preterm (37 and 27 mug/L; P = 0.01) milk between weeks 1 and 12, respectively. As expected, there were reductions in the concentrations of copper (FT: 651 to 360 mug/L, P < 0.0001; PRT: 542 to 425, P = 0.05), iron (FT: 355 to 225 mug/L, P = 0.0003; PRT: 406 to 287, P = 0.002), selenium (FT: 26.9 to 18.6 mug/L, P < 0.0001; PRT: 28.7 to 20.4, P < 0.0001), and zinc (FT: 4060 to 1190 mug/L, P < 0.0001; PRT: 5970 to 1270, P < 0.0001) over time. CONCLUSIONS The stable milk boron concentrations over time suggest that boron may be under homeostatic control. The patterns of change in copper, iron, selenium, and zinc concentrations in milk differ from those of boron. Further research is needed to elucidate the mechanism of milk boron secretion.
Giving Crime the 'evo': Catching Criminals Using EvoFIT Facial Composites

Facial composites are traditionally made by witnesses and victims describing and selecting parts of criminals’ faces, but this method is hard to do and has been shown to be generally ineffective. We have been working on an alternative system called EvoFIT for the past 12 years. Much of the development for this system has been carried out in the laboratory but, more recently, police forces have been formally evaluating it in criminal investigations. The current paper describes three of these police audits. It was found that EvoFIT composites made from real eyewitnesses led to an overall arrest in 23.4% of cases, which is similar to a 24.5% correct naming level found by laboratory research. System performance therefore appears to be effective both using simulated testing procedures and in the hands of the intended user.
CTG18.1 Expansion in TCF4 Among African Americans With Fuchs' Corneal Dystrophy

Purpose Studies of Fuchs' dystrophy have largely focused on individuals of European origin. Characterization of disease among African Americans is required to ensure prognostic factors and therapeutic approaches are applicable across diverse patient populations. Methods We assessed all self-reported black and white patients aged older than 40 years at a tertiary care institution with a diagnosis of cataract over a 3-year period for concurrent diagnosis of Fuchs' dystrophy. Affected patients in a longitudinal cohort were invited to provide a blood sample from which we extracted genomic DNA. The CTG18.1 trinucleotide repeat length was determined using a two-step, triplet repeat primed PCR protocol. Expansion was defined as >40 CTG repeats. Demographic information, including race, was documented. Results Of 59,365 self-reported black and white adults who presented for cataract evaluation, the odds ratio of presenting with Fuchs' dystrophy among black compared to white patients was 0.6992 (95% confidence interval [CI], 0.6210–0.7872). A total of 60 black and 549 white patients with Fuchs' corneal dystrophy enrolled in the longitudinal study, of which 21 (35.0%) black and 343 (62.5%) white patients demonstrated trinucleotide repeat expansion, a significant difference (P = 7.7 × 10−5). In a multivariable linear regression model, repeat expansion but not race was significantly associated with mean clinical grading of severity. Conclusions Black patients with Fuchs' dystrophy were less likely than white patients to demonstrate CTG18.1 allele expansion. The data contribute to our understanding of population differences in clinical presentation, and highlight the need for considering diversity of patient populations in clinical research.
The demographic history of populations experiencing asymmetric gene flow: combining simulated and empirical data

Population structure can significantly affect genetic‐based demographic inferences, generating spurious bottleneck‐like signals. Previous studies have typically assumed island or stepping‐stone models, which are characterized by symmetric gene flow. However, many organisms are characterized by asymmetric gene flow. Here, we combined simulated and empirical data to test whether asymmetric gene flow affects the inference of past demographic changes. Through the analysis of simulated genetic data with three methods (i.e. bottleneck, M‐ratio and msvar), we demonstrated that asymmetric gene flow biases past demographic changes. Most biases were towards spurious signals of expansion, albeit their strength depended on values of effective population size and migration rate. It is noteworthy that the spurious signals of demographic changes also depended on the statistical approach underlying each of the three methods. For one of the three methods, biases induced by asymmetric gene flow were confirmed in an empirical multispecific data set involving four freshwater fish species (Squalius cephalus, Leuciscus burdigalensis, Gobio gobio and Phoxinus phoxinus). However, for the two other methods, strong signals of bottlenecks were detected for all species and across two rivers. This suggests that, although potentially biased by asymmetric gene flow, some of these methods were able to bypass this bias when a bottleneck actually occurred. Our results show that population structure and dispersal patterns have to be considered for proper inference of demographic changes from genetic data.
Microsatellite DNA analysis of coastal populations of bull trout (Salvelinus confluentus) in British Columbia: zoogeographic implications and its application to recreational fishery management

Microsatellite DNA variation was assayed among 383 bull trout (Salvelinus confluentus) from 20 Pacific coastal localities from the Skeena River (central British Columbia) to the Olympic Peninsula (western Washington State). An average of 1.7 alleles was resolved per population and heterozygosity averaged 0.35. Twenty-six fish were identified as bull trout × Dolly Varden (Salvelinus malma) hybrids. Population subdivision was substantial (θ = 0.33), but subdivision was higher (θ = 0.46) when interior populations (N = 37) were included, indicating a major genetic dis- tinction between "coastal" and "interior" bull trout. Bull trout populations north of the Squamish River were genetically more similar to interior bull trout than to other more southern coastal populations, suggesting that they had been founded by headwater transfers from interior populations. Individual assignment of bull trout averaged 53.4% correct assignment among populations (range: 12%-95%). Mixture analysis indicated that most fish from the lower Fraser River recreational fishery originated from major nearby tributaries (e.g., Pitt, upper Lillooet, and Chilliwack rivers). Our results substantiate the existence of two major evolutionary lineages of bull trout and highlight the importance of tributary habitats for the persistence of local populations, as well as for those that forage in downstream areas on the lower Fraser River.
Soil insect research in South Africa. (1) A new genus of terricolous weevils with four new species from the Richtersveld National Park (Coleoptera: Curculionidae: Entiminae: Trachyphloeini).

The new genus, Nama gen. n. , and four new species, N. richtersveldiana sp. n. , N. pentamera sp. n. , N. iuliae sp. n. and N. erikae sp. n. , are described from the Richtersveld National Park. The taxonomic position of the new genus is discussed, and it is compared with the other Trachyphloeini native to South Africa and with some genera of Trachyphloeini occurring in the Palaearctic region. A key to the species of Nama is provided.
Microstructure-Based Computational Modeling of TRIP Steels with Dispersed Particles

Microstructure-Based Computational Modeling of TRIP Steels with Dispersed Particles. (August 2012) Sara Cristina Diaz, B.S, Texas A&M University Chair of Advisory Committee: Dr. Rashid K. Abu Al-Rub Industries, such as the automotive industry, aim to increase the reliability of their products to match the demands and assure the safety of their clients. The proposition of a third generation advanced high strength steel is introduced in this study. The ideas surrounding the behavior of transformation induced plasticity (TRIP) steels and particle reinforced composites are combined and investigated. A finite element model (FEM) is created to investigate the effects of dispersed ceramic particles with varying parameters throughout a TRIP steel microstructure and identify key mechanisms responsible for achieving simultaneous enhancements in strength and ductility. The ceramic material utilized and volume fraction of the ceramic particles dispersed throughout the representative volume element (RVE) are the two varying parameters investigated in this study. Through observing the equivalent plastic strain (PEEQ) distribution at different strain levels up to 100%, evidence of failure controlled by strain localization throughout the ferrite matrix is more prevalent through the softer, austenitic microstructures with 5% or less ceramic particle inclusions. On the other hand, the presence of the hard
Estimation of aboveground biomass using airborne LiDAR data

In this study a semi-empirical model that was originally developed for stem volume estimation is used for aboveground biomass (AGB) estimation. The semi-empirical model is based on the relative heights of first echo LiDAR point cloud data and assumes a linear relationship between AGB and canopy volume. However, the usage of point cloud data leads to a computationally demanding task when processing large point cloud datasets for the generation of area-wide AGB maps. In the presented study the effects of using rasterized LiDAR data as input for the AGB model are investigated in order to speed up processing and to make use of the model on large spatial datasets. The canopy volumes are calculated from a Canopy Height Model (CHM). The optimum resolution of the CHM is determined by analyzing the effects of varying cell sizes (1.0 m, 1.5 m, 2.0 m, 3.0 m) on the achievable accuracies. Calibrating the model with rasterized input data having a spatial resolution of 2.0 m instead of using first echo point cloud data leads to a slight increase of the coefficient of determination (R = 0.70 to R = 0.72) and a slight decrease of the standard deviation of the prediction errors. For calibrating the model reference AGB is calculated per sample plot from local forest inventory data by means of averaged weighted (according to tree species and age class composition) extension factors. The influence of using rasterized LiDAR input data on the achievable accuracy of the assessed AGB is investigated for a coniferous dominated study area in Vorarlberg, Austria.
The clinical effect of perioperative high-quality nursing intervention on children with cleft lip and palate

Objective: To analyze the clinical effect of perioperative high-quality nursing intervention on children with cleft lip and palate. Methods: From January 2016 to January 2017, sixty-two children with cleft lips and palate who received surgical treatment in Children’s Hospital of Nanjing Medical University were selected as the objects. These patients were divided into two groups, termed as routine treatment group and top-quality group. The patients in the routine treatment group received routine nursing whereas the top-quality group received perioperative high-quality nursing intervention. The post-nursing effects of the two groups were analyzed and compared. Results: The average post-nursing hospitalization days and hospitalization cost of the top-quality group were less than those of the routine treatment group, and the difference was statistically significant (P<0.05); The incidence of complications of the top-quality group was 6.45%, lower than 19.35% of the routine treatment group (P<0.05). The family satisfaction degree of the top-quality group was 90.32%, higher than 70.97% of the routine treatment group (P<0.05). Conclusion: Perioperative high-quality nursing intervention for children with cleft lip and palate may effectively promote patients’ rehabilitation, improve the doctor-patient relations and thus can be further popularized and applied.