Table 1_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

“…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. …”

Table 2_A novel α-conotoxin [D1G, ΔQ14] LvIC decreased mouse locomotor activity.xls by Wen Wang (6570)

“…</p>Conclusion<p>Our findings indicate that α-conotoxin [D1G, ΔQ14] LvIC significantly decreased locomotor activity in mice. …”

PLB is a target gene of miRNA 221. by Hongyu Li (1332669)

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National (A) Medicare prescription rates per thousand Part D enrollees and (B) Medicare spending for clozapine gradually decreased for 2015-2020. by Luke R. Cavanah (19022435)

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Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">#METADATA</p><p dir="ltr">#'data.frame': 472 obs. of 28 variables:</p><p dir="ltr"> #$ ID: Factor variable; a unique identity for the response to the survey</p><p dir="ltr"> #$ Year: Factor variable; six factors available (2016, 2017, 2018, 2019, 2020, 2021) representing the year for the response to the survey</p><p dir="ltr"> #$ N_dead_annual: Numeric variable; representing the number of colonies annually lost</p><p dir="ltr">#$ N_alive_annual: Numeric variable; representing the number of colonies annually alive</p><p dir="ltr"> #$ N_dead_dry: Numeric variable; representing the number of colonies lost during the dry season</p><p dir="ltr">#$ N_alive_dry: Numeric variable; representing the number of colonies alive during the dry season</p><p dir="ltr"> #$ N_dead_rainy: Numeric variable; representing the number of colonies lost during the rainy season</p><p dir="ltr">#$ N_alive_rainy: Numeric variable; representing the number of colonies alive during the rainy season</p><p dir="ltr"> #$ Education: Factor variable; four factors are available ("Self-taught","Learned from another melip","Intro training","Formal tech training"), representing the training level in meliponiculture</p><p dir="ltr"> #$ Operation_Size: Numeric variable; representing the number of colonies managed by the participant (in n)</p><p dir="ltr"> #$ propAgri: Numeric variable; representing the percentage of agricultural area surrounding the meliponary (in %)</p><p dir="ltr"> #$ propForest: Numeric variable; representing the percentage of forested area surrounding the meliponary (in %)</p><p dir="ltr">#$ temp.avg_annual: Numeric variable; representing the average annual temperature (in ºC)</p><p dir="ltr">#$ precip_annual_sum: Numeric variable; representing the total accumulated precipitation (in mm)</p><p dir="ltr">#$ precip_Oct_March_sum: Numeric variable; representing the total accumulated precipitation between October to March (in mm)</p><p dir="ltr">#$ precip_Apri_Sept_sum: Numeric variable; representing the total accumulated precipitation between April to September (in mm)</p><p dir="ltr">#$ temp.avg_Oct_March: Numeric variable; representing the total accumulated precipitation between October to March (in ºC)</p><p dir="ltr">#$ temp.avg_Apri_Sept: Numeric variable; representing the total accumulated precipitation between April to September (in ºC)</p><p dir="ltr"> #$ Importance_dead: Factor variable; three factors are available Normal","High","Very high"), representing the perception of the significance of annual colony losses</p><p dir="ltr"> #$ Climatic_environmental: Binary variable; representing if the participant considered climatic and environmental problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Contamination: Binary variable; representing if the participant considered contamination problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr"> #$ Nutritional: Binary variable; representing if the participant considered nutritional problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Sanitary: Binary variable; representing if the participant considered sanitary problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Queen: Binary variable; representing if the participant considered queen problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Time: Binary variable; representing if the participant considered time problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Economic: Binary variable; representing if the participant considered economic problems as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Attacks: Binary variable; representing if the participant considered time attacks as a potential driver (1) or not (0) of their annual colony losses</p><p dir="ltr">#$ Swarming: Binary variable; representing if the participant considered swarming problems as a potential driver (1) or not (0) of their annual colony losses</p><p><br></p>…”

Top 10 significant functional annotations of up-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance according to the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

Top 10 significant functional annotations of down-regulated DEGs. by Meitner Cadena (22216261)

“…Functional annotations are ordered by decreasing significance, with color indicating significance level based on the legend’s color scale, the ratio of genes on the horizontal axis, and DEG count represented by circle size.…”

A prepubertal CD decreases hepatic lipid accumulation in adulthood despite a chronic HFD in Sprague-Dawley male rats. by Ana Aguilar-Lozano (20614619)

Bar charts showing the numbers of significantly differentially expressed genes for the different contrasts. by Gillian P. McHugo (8965919)

“…<p>The extent of the bar above and below 0 on the vertical axis indicates the numbers of significantly differentially expressed genes (DEGs; B-H <i><i>P</i></i><sub>adj.…”

NLSs can significantly impact intranuclear stages of HIV-1 infection. by Nicholas Rohlfes (20577485)

“…Statistical analysis in A,B,D and F was determined using one-way ANOVA and in E and H using Kruskal-Wallis test. …”

Deep crypt secretory (DCS) cells are predominantly distributed in the proximal colon, with a progressive decrease towards the distal colon. by Daisuke Sugahara (2047696)

The heart rate was similar among the groups. by Hongyu Li (1332669)

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Primer sequences for RT-qPCR. by Hongyu Li (1332669)

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Altered expression of genes related to Ca²⁺ cycling or myocardial contraction. by Hongyu Li (1332669)

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miRNA 221 improved left ventricular contractile function in MIRI mice. by Hongyu Li (1332669)

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miRNA 221 alleviated calcium overload in myocardium and inhibited the expression of apoptosis-related genes in MIRI mice. by Hongyu Li (1332669)

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miRNA 221 alleviated myocardial injury and inhibited apoptosis and necrosis of cardiac cells in MIRI mice. by Hongyu Li (1332669)

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Splenocytes from Tcj2 mRNA LNP—Immunized mice decrease <i>T</i>. <i>cruzi</i> infection <i>in vitro</i>. by Leroy Versteeg (4248760)

Table 1_Bibliometric analysis of global research on the clinical applications of aminoglycoside antibiotics: improving efficacy and decreasing risk.docx by Tengxiang Zhao (20749475)

“…AGs have played a significant role in clinical practice in recent years.…”

Image 1_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)