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opencc-by-4.0Sep 2019View details →

Fig. 2 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats

Fig. 2. Phylogram of Goniurosaurus based on the Bayesian analysis of a 16S ribosomal fragment. Numbers next to nodes are Bayesian posterior probabilities. Voucher numbers of new samples and GenBank accession numbers are placed after species names and in parentheses, respectively.

opencc-by-4.0Sep 2019View details →

Fig. 1 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats

Fig. 1. New population. (A) Habitat of Goniurosaurus catbaensis on one offshore island in Ha Long Bay, Quang Ninh Province; (B) Microhabitat of G. catbaensis in Ha Long Bay; (C) Adult male; and (D) Adult female from Ha Long Bay. Photos: H.N. Ngo.

Fig. 4 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 4. Proportion of tephritids (dark grey), beneficial arthropods (white), and other non-target insects (light grey) captured by the different treatments in the 2017 and 2018 seasons.

Fig. 3 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 3. Proportion of gravid (dark grey) and non-gravid (light grey) females of Ceratitis capitata lured to the different treatments on pre- and post-harvest period during the 2018 season (NS = no significant differences, * = P ≤ 0.05). (A–B) Dixieland peach; (C–D) Fuji Kiku apple; (E–F) Satsuma mandarin. Treatments with no captures are not presented.

Fig. 2 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 2. Proportion of gravid (dark grey) and non-gravid (light grey) females of Ceratitis capitata lured to the different treatments on pre- and post-harvest period during the 2017 season (NS = no significant differences, * = P ≤ 0.05). (A–B) Dixieland peach; (C–D) Fuji Kiku apple; (E–F) Satsuma mandarin. Treatments with no captures are not presented.

Fig. 1 in Food attractants for mass trapping of fruit flies (Diptera: Tephritidae) and its selectivity for beneficial arthropods

Fig. 1. Cumulative Ceratitis capitata captures expressed as females per trap per d index for the pre-harvest (light gray) and post-harvest (dark gray) periods are shown, for the 3 field trials and the 2 seasons of evaluation. Different letters indicate significant differences between treatments in the cumulative captures of females for the total trial period.

opencc-by-4.0Dec 2017View details →

Fig. 2 in Suitability of selected ornamental plants for growth and survival of Lissachatina fulica (Gastropoda: Achatinidae)

Fig. 2. Mean percent survival of newly hatched Lissachatina fulica afer 70 d of feeding on a single diet treatment. (A) Annual plants. (B) Perennial plants. Means topped by the same lowercase letters are not significantly different (P> 0.05; Kruskal-Wallis rank sum test and Dunn's test). Error bars indicate standard error.

opencc-by-4.0Aug 2024View details →

Data, scripts, and plots for the paper "A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies"

Data, scripts, and plots for the paper "A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies"

opencc-by-4.0Aug 2024View details →

Evaluation of Selected Artificial Aging Protocols for Dental Composites Including Fatigue and Fracture Tests

This research was funded by the National Science Centre, Poland [grant number: UMO-2020/37/N/ST5/00191, 2021]. Datasets was basis for publication entitled:  Evaluation of Selected Artificial Aging Protocols for Dental Composites Including Fatigue and Fracture Tests, published at Applied  Sciences in 2024.  The publication is a summary of the second step of the project, that aims standardizing an artificial aging protocol for dental composites. Until now, there has been no effort to create a standard protocol for evaluating the clinical performance of dental composites in a practical and efficient manner. Dental materials are not required to undergo studies that verify their durability over their expected lifespan before they are released to the market. Implementing a standardized aging process is essential to enhance the dental resin composite's ability to withstand oral conditions. Research in this area has been supported by the Preludium grant from the National Science Center in Poland. Three materials were tested to compare the degradation of resin from that of the filler and resin–filler interface. The first material (Resin F) was unfilled resin. The second and third materials were composites based on a similar resin matrix to Resin F but with differentiated fillers content. On the basis of the obtained data (https://zenodo.org/records/6583563), three protocols were selected for the second part of the project (standardization of artificial aging protocol for dental composites). The influence of three selected aging protocol on the material properties of the samples was determined based on flexural strength (FS), diametral tensile strength (DTS), Vickers hardness (HV) and microstructure evaluation. Additionally, fracture toughness (FT) and flexural fatigue limit (FFL) were determined. The proposed complex aging protocols should simulate prolonged, possibly several to even a dozen or more years of material usage in the oral cavity, thereby furnishing valuable insights into its prospective clinical performance in vitro.  Authors hope to determine an artificial aging method for evaluating the clinical performance of dental composites. Our publication is first attempt to determine standard aging protocol for dental composites.

Fig. 5 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 5. Selection of microhabitat demonstrated by the dispersion diagram of the Procrustes analysis (ss, sum of squares; t0, Correlation of Procrustes. For each capture event: circles represents the matrix with environmental variables from the occupied quadrants; arrows represents the matrix of available quadrants with the same variables; line between both represents the size of congruence between matrices).

Fig. 4 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 4. Perch characteristics of Phyllomedusa distincta (B. Lutz, 1950) and Boana leptolineata (P. Braun & C. Braun, 1977) in RPPN PrÓ-Mata, São Francisco de Paula, RS, Brazil. (points: average; bars: standard error).

Fig. 3 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 3. Microhabitat strata heterogeneity of Phyllomedusa distincta (B. Lutz, 1950) and Boana leptolineata (P. Braun & C. Braun, 1977) in RPPN PróMata, São Francisco de Paula, RS, Brazil (Cv: stratum height coefficient of variation; points: average; bars: standard error).

Fig. 2 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 2. Characteristics of the microhabitat of Phyllomedusa distincta (B. Lutz, 1950) and Boana leptolineata (P. Braun & C. Braun, 1977) in RPPN PrÓ-Mata, São Francisco de Paula, RS, Brazil. Occupied (O) and available (A) coverage microhabitat (Herb: herbaceous stratum; points: average; bars: standard error).

Fig. 1 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 1. Characterization of the study area. Location map of the area, São Francisco de Paula, RS, Brazil (left box). Landscape of the study site dominated by herbaceous vegetation (upper right boX. in upper right corner: headQuarters of the RPPN PrÓ-Mata; in lower right corner: forest patch). And view from the wetland's east bank showing the heterogeneity of herbaceous and tree vegetation (bottom right box).

Fig. 6 in Selection and use of calling site by Boana leptolineata and Phyllomedusa distincta during the reproductive season

Fig. 6. Occurrence probability (y-axis) of Phyllomedusa distincta (B. Lutz, 1950) and Boana leptolineata (P. Braun & C. Braun, 1977) individuals in the Quadrants based on the microhabitat environmental variables (X-aXis) used in the Multinomial Logistic Regression model. Notes: white indicates the condition of individuals occurrence, while the shades of gray indicate the other four available conditions (quadrants) of individuals non-occurrence. A detailed table containing the outcomes is provided in Appendix 1.

Fig. 2 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 2. Ordination by principal coordinate analysis (PCoA) of the food resource availability for six floodplain lakes along the Upper Paraná River, Paraná-Mato Grosso do Sul. AQI = aquatic insects; OAI = other aquatic invertebrates; OTI = other terrestrial invertebrates; PLA = plants; TRI = terrestrial insects.

Fig.5 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig.5. Relationship between the mean of the proportional overlap Index (IS) and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River.Values of IS closer to 1 indicates greater diet overlap. The mean IS was calculated based on individuals of 3 (ZÉ = ZÉ Marinho), 7 (Carioca = Car), 4 (TiÃo = Tia), 5 (Genipapo = Gen), 2 (CidÃo = Cid) and 5 species (Canal = Can).AQI = aquatic insects; PLA = plants.

Fig. 1 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 1. Locations of the lakes on the upper Paraná River floodplain, Brazil: 1, Canal do Meio; 2, Carioca; 3, ZÉ Marinho; 4, CidÃo; 5, Genipapo; 6, TiÃo.

Fig. 4 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 4. Relationship of the mean the Schoener's Index (O) between pairs of species and the scores of the first PCoA axis of resource availability in isolated floodplain lakes along the upper Paraná River. The mean O was calculated based on 10 (ZÉ = ZÉ Marinho), 28 (Carioca = Car), 6 (TiÃo = Tia), 21 (Genipapo = Gen), 3 (CidÃo = Cid) and 10 (Canal = Can) pairs of species. AQI = aquatic insects; PLA = plants.

Fig. 3 in Trophic relationships in fish assemblages of Neotropical floodplain lakes: selectivity and feeding overlap mediated by food availability

Fig. 3. Relationships between feeding selectivity by fish and the availability of food resources for six floodplain lakes along the Upper Paraná River, ParanáMato Grosso do Sul. Shape of data distribution (envelope effect) was significant.