Calf health information. by Cian Reid (17274007)

“…Gene expression analysis of 48 innate immune signalling genes in whole blood stimulated with TLR ligands was completed in a subset of calves. TLR1/2 stimulation with Pam3CSK4 showed a decreased pattern of expression in IL-1 and inflammasome related genes in addition to chemokine genes in calves with BRD. …”

The growth of co-transformed cells in the peritoneal cavity alters viral gene expression to mirror that of PEL cell lines. by Mitchell Hayes (5334887)

Therapeutic efficacy of Clrn1 re-expression in Müller glia depends on expression level. by Hannah J. T. Nonarath (20861735)

“…<p>(a) Retinal images of 7 dpf wild-type (upper rows) and <i>clrn1</i>^<i>-/-</i> mutant (lower rows) zebrafish expressing different transgenes (column labels) raised in control lighting conditions (right) or treated from 5-7 dpf with 3500 lux for 48 hours (left, light stress). …”

Image2_GABA Type A receptors expressed in triple negative breast cancer cells mediate chloride ion flux.TIF by J Bundy (19843944)

“…Here, using surface biotinylation and (N-(Ethoxycarbonylmethyl)-6-Methoxyquinolinium Bromide) MQAE-dye based fluorescence quenching, we show that upregulated GABA_AR are on the cell-surface in TNBC cell lines and mediate significantly higher chloride (Cl⁻) flux as compared to non-tumorigenic MCF10A cells. …”

Image1_GABA Type A receptors expressed in triple negative breast cancer cells mediate chloride ion flux.TIF by J Bundy (19843944)

“…Here, using surface biotinylation and (N-(Ethoxycarbonylmethyl)-6-Methoxyquinolinium Bromide) MQAE-dye based fluorescence quenching, we show that upregulated GABA_AR are on the cell-surface in TNBC cell lines and mediate significantly higher chloride (Cl⁻) flux as compared to non-tumorigenic MCF10A cells. …”

Land-use change in Quetta from (a) 1992, (b) 2002, (c) 2013 and (d) 2022. by Naveed Ahmed (2433958)

“…It is evident from the results that barren land in Quetta increased in 2022, whereas build-up area significantly decreased, as shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0317342#pone.0317342.g006" target="_blank">Fig 6</a>. …”

Zika virus replicates efficiently in the zebrafish model and induces morphological defects. by Aïssatou Aïcha Sow (20371233)

“…This schematic was created with <a href="http://BioRender.com" target="_blank">BioRender.com</a>. …”

Primers for RT-qPCR. by Jiaoyang Li (2862269)

“…To elucidate the function of NSP2 during PRRSV infection, we identified SH3KBP1 as an NSP2-interacting host protein using mass spectrometry. …”

Inverse Simpson index (A) and richness (B) shown for the post-operative and perioperative groups. by Allison J. Collier (13977858)

“…<p>Significant decreases in the Inverse Simpson index (A) were noticed between Baseline and Recheck 1 (p = 0.01 perioperative group, p = 0.04 post-operative group), as well as between Baseline and Recheck 2 (p = 0.01 perioperative, p = 0.02 post-operative) in both the perioperative and post-operative groups. …”

Structural alterations in hydrogen bond networks of the TP53 protein caused by mutations G266E (A-B), G105C (C-D), R273C (E-F), R280G (G-H), and Q136P (I-J). by Ashraf Attia Mahmoud (21262201)

Mean parameter values for the selected crops. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Performance comparison of ML models. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Comparative data of different soil samples. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Confusion matrix of random forest model. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Evaluation metrics of selected ML models. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Block diagram of the proposed system. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Chart for applicable amount of fertilizers. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Cost analysis of irrigation controller unit. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”

Run times of two algorithms. by Gourab Saha (8987405)

“…In this article, we present a complete integrated design of a smart IoT-based suitable agricultural land and crop selection, along with an irrigation system using agricultural mapping, machine learning, and fuzzy logic for precision agriculture. …”