Promjene hematokrita i biokemijskog profila u serumu sahival i križanaca sahival × džersej goveda u tropskom okolišu.

A study was conducted on the biochemical constituents of pure Sahiwal and Jersey × Sahiwal crossbred animals in tropical conditions. Six animals were selected from each category of Sahiwal heifers, Sahiwal cows and Jersey × Sahiwal crossbred cows. The biochemical constituents of the above animals were recorded during the experimental period of 21 days. The haematocrit values (%) of Sahiwal heifers, Sahiwal cows and Jersey × Sahiwal cows were ranged from 29.17 ± 1.22 to 68.00 ± 1.06, 31.00 ± 1.46 to 67.00 ± 1.06 and 31.17 ± 1.17 to 75.83 ± 0.59, respectively. A non-significant difference was observed in haematocrit values of Sahiwal heifers and cows, whereas a significant (P<0.01) variation was recorded for Jersey × Sahiwal crossbred cows. The serum glucose, urea and creatinine levels (mg/dL) of Sahiwal heifers, Sahiwal cows and Jersey × Sahiwal cows ranged from 61.90 ± 1.34 to 97.32 ± 0.63, 58.61 ± 1.20 to 96.90 ± 0.65 and 59.26 ± 0.58 to 113.33 ± 0.71, 11.72 ± 0.94 to 47.21 ± 0.64, 11.70 ± 0.65 to 45.44 ± 0.42 and 14.00 ± 0.58 to 63.99 ± 0.41 and 1.25 ± 0.07 to 9.81 ± 0.13, 1.29 ± 0.09 to 9.90 ± 0.17 and 1.43 ± 0.10 to 16.18 ± 0.15, respectively. The average serum glucose values were significantly (P<0.01) different among all the experimental animals during adaptability. The serum calcium and phosphorous levels (mg/dL) of Sahiwal heifers, Sahiwal cows and Jersey × Sahiwal cows ranged from 10.59 ± 0.29 to 27.17 ± 0.29, 10.84 ± 0.27 to 26.61 ± 0.46 and 10.45 ± 0.33 to 36.76 ± 0.71, 5.85 ± 0.05 to 18.91 ± 0.21, 5.94 ± 0.08 to 18.87 ± 0.12 and 5.88 ± 0.10 to 20.80 ± 0.13, respectively. A nonsignificant difference was observed in serum calcium and phosphorous levels for Sahiwal heifers and Sahiwal cows, whereas a significant (P<0.01) variation was recorded for Jersey × Sahiwal crossbred cows in relation to adaptability. The present study concludes that haematocrit, glucose, urea, creatinine, calcium, phosphorouslevels of the Sahiwal cows were significantly (P<0.01) higher during the first three days of the experimental period and later declined to the normal range of the species. In the case of Jersey × Sahiwal crossbred cows, higher levels of haematocrit and the above serum constituents were observed for a period of six days, which later declined to reach the normal range of the species in tropical environments.U radu su istraženi biokemijski pokazatelji u čistokrvnih sahival i križanih sahival × džersej goveda uzgajanih u tropskim uvjetima. Po šest životinja odabrano je iz skupina sahival junica, sahival krava i krava križanaca sahival × džersej. U istraženih životinja utvrđeni su biokemijski pokazatelji tijekom razdoblja od 21 dan. Vrijednosti hematokrita (%) kod sahival junica kretale su se u granicama od 29,17 ± 1,22 do 68,00 ± 1,06, kod sahival krava od 31,00 ± 1,46 do 67,00 ± 1,06, a kod krava križanaca sahival x džersej od 31,17 ± 1,17 do 75,83 ± 0,59. Razlike u vrijednostima hematokrita između sahival junica i krava nisu bile statistički značajne, dok su razlike u odnosu krave - križanke bile statistički značajne (P<0,01). Razine glukoze, ureje i kreatinina u serumu (mg/dL) kretale su se kod sahival junica u granicama od 61,90 ± 1,34 do 97,32 ± 0,63; od 58,61 ± 1,20 do 96,90 ± 0,65; od 59,26 ± 0,58 do 113,33 ± 0,71, kod sahival krava od 11,72 ± 0,94 do 47,21 ± 0,64; od 11,70 ± 0,65 do 45,44 ± 0,42; od 14,00 ± 0,58 do 63,99 ± 0,41 te kod krava križanki od 1,25 ± 0,07 do 9,81 ± 0,13; od 1,29 ± 0,09 do 9,90 ± 0,17 i od 1,43 ± 0,10 do 16,18 ± 0,15. Prosječne vrijednosti glukoze u serumu bile su statistički značajno (P<0,01) različite između svih istraživanih skupina tijekom razdoblja prilagodbe. Razine kalcija (mg/dL) u serumu junica kretale su se od 10,59 ± 0,29 do 27,17 ± 0,29, u serumu krava od 10,84 ± 0,27 do 26,61 ± 0,46 te u serumu križanki od 10,45 ± 0,33 do 36,76 ± 0,71. Razine fosfora (mg/dL) u serumu junica bile su od 5,85 ± 0,05 do 18,91 ± 0,21, u serumu krava od 5,94 ± 0,08 do 18,87 ± 0,12 te u serumu križanki od 5,88 ± 0,10 do 20,80 ± 0,13. Razlike u razinama kalcija i fosfora između sahival junica i krava nisu bile statistički značajne dok su statistički značajne (P<0,01) varijacije utvrđene kod sahival × džersej križanki u odnosu na prilagodbu. Provedenim istraživanjem može se zaključiti da su razine hematokrita, glukoze, ureje, kreatinina, kalcija i fosfora kod sahival krava bile statistički značajno (P<0,01) povišene tijekom prva tri dana istraživanog razdoblja, a nakon toga su se snizile u granice normalne za vrstu. U slučaju krava križanki sahival × džersej, više razine hematokrita i drugih serumskih pokazatelja utvrđene su tijekom razdoblja od šest dana nakon čega su snižene do graničnih vrijednosti normalnih za vrstu uzgajanu u tropskom okolišu

Interpretable Neural Subgraph Matching for Graph Retrieval

Given a query graph and a database of corpus graphs, a graph retrieval system aims to deliver the most relevant corpus graphs. Graph retrieval based on subgraph matching has a wide variety of applications, e.g., molecular fingerprint detection, circuit design, software analysis, and question answering. In such applications, a corpus graph is relevant to a query graph, if the query graph is (perfectly or approximately) a subgraph of the corpus graph. Existing neural graph retrieval models compare the node or graph embeddings of the query-corpus pairs, to compute the relevance scores between them. However, such models may not provide edge consistency between the query and corpus graphs. Moreover, they predominantly use symmetric relevance scores, which are not appropriate in the context of subgraph matching, since the underlying relevance score in subgraph search should be measured using the partial order induced by subgraph-supergraph relationship. Consequently, they show poor retrieval performance in the context of subgraph matching. In response, we propose ISONET, a novel interpretable neural edge alignment formulation, which is better able to learn the edge-consistent mapping necessary for subgraph matching. ISONET incorporates a new scoring mechanism which enforces an asymmetric relevance score, specifically tailored to subgraph matching. ISONET’s design enables it to directly identify the underlying subgraph in a corpus graph, which is relevant to the given query graph. Our experiments on diverse datasets show that ISONET outperforms recent graph retrieval formulations and systems. Additionally, ISONET can provide interpretable alignments between query-corpus graph pairs during inference, despite being trained only using binary relevance labels of whole graphs during training, without any fine-grained ground truth information about node or edge alignments