Neural Graph Similarity Computation with Contrastive Learning by Shengze Hu, Weixin Zeng, Pengfei Zhang, Jiuyang Tang

“…To address the aforementioned issues, in this work, we put forward a contrastive neural graph similarity learning framework, Conga. Specifically, we utilize vanilla graph convolutional networks to generate the graph representations and capture the cross-graph interactions via a simple multilayer perceptron. …”
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Increased glycemic variability in type 2 diabetes patients treated with insulin - a real-life clinical practice, continuous glucose monitoring (CGM) study by Crăciun Cristian-Ioan, Crăciun Anca-Elena, Rusu Adriana, Bocşan Corina Ioana, Hâncu Nicolae, Buzoianu Anca Dana

“…Insulin treated patients had significantly higher values of parameters describing the amplitude of glucose value fluctuations (standard deviation of glucose values, percentage coefficient of variation [%CV], and mean amplitude of glycemic excursion [MAGE], p <0.05) and time-dependent glucose variability (percentage of time with glycemic values below 70 mg/dl and continuous overall net glycemic action [CONGA] at 2, 4 and 6 hours, p <0.05). In conclusion, insulin therapy in T2DM is correlated with significantly higher glycemic variability.…”
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Contribution to the taxonomy of the Oecetis (Oecetis) tripunctata (Fabricius, 1793) species group (Trichoptera: Leptoceridae) by Oláh, János

“…The distribution of Oecetis tripunctata (Fabricius, 1793) is restricted to the Palaearctic Faunal Region. 14 new species were described from the Oriental Faunal Region: Oecetis anhua s. nov., O. baneswara sp. nov., O. baoloca sp. nov., O. bhubaneswa sp. nov., O. dagna sp. nov., O. dhaulia sp. nov., O. gujara sp. nov., O. halonga sp. nov., O. hoabinha sp. nov., O. kamba sp. nov., O. orissa sp. nov., O. peraka sp. nov., O. prenna sp. nov., O. sabarma sp. nov. and one species Oecetis lata Johanson, Pham, Malm & Sjöberg, 2020 was recorded from Vietnam. 2 new species were described from Australasian Faunal Region: O. kokopa sp. nov., O. parom sp. nov. as new records of the Oecetis tripunctata species group. 10 new species were described from the Afrotropical Faunal Region, including mailand Africa and Madagascar: O. anka sp. nov., O. banda sp. nov., O. bua sp. nov., O. conga sp. nov., O. congana sp. nov., O. ghana sp. nov., O. manta sp. nov., O. maroa sp. nov., O. volta sp. nov., O. zoa sp. nov., and one species Oecetis kagerana Kimmins, 1956 was recorded from Ghana, as well as O. maculipennis Ulmer, 1922 was placed to the Oecetis tripunctata species group. …”
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Albuminuria, glycemic variability and effect of flash glucose monitoring based decision making on short term glycemic variability in Indian type 2 diabetes patients: Indi-GlyVar st... by Deepak Nathiya, Deepak Nathiya, Deepak Nathiya, Mahaveer Singh, Supriya Suman, Hemant Bareth, Nikita Pal, Arjav Jain, Balvir S. Tomar, Balvir S. Tomar, Balvir S. Tomar

“…The primary outcome was to assess the impact of FGMS-based therapeutic interventions on glycemic variability markers: SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], M value, and coefficient of variance [%CV], AUC below 70 mg/dl, low blood glucose index, AUC above 180 mg/dl [AUC &gt;180], high blood glucose index [HBGI], and J index. …”
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La dimensión política del conflicto extractivo: la accountability social en escenarios de conflictividad Minera en el norte de Perú by Luis Alberto Meléndez Guerrero

“…De esta manera, el primer objetivo del estudio es rastrear el impacto del conflicto en torno al proyecto minero Conga –de la transnacional Minera Yanacocha– en la recomposición de los actores y grupos sociales de la provincia de Celendín, en Cajamarca, en el norte de Perú. …”
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Influence of androgen deprivation therapy on glucose metabolism and ambulatory glucose profile by E. Yu. Grickevich, D. V. Skuridina, S. N. Perekhodov

“…We found that 12-month ADT changes the AGP: an increase area under the curve and postprandial glycemic levels, an increase in blood glucose variability with an increase in the CONGA index to 6.817 (p &lt; 0.001).Conclusion. ADT by GnRH agonists in patients with La PCa is accompanied by a predisposition to early disorders of glucose metabolism with a high risk of rapid development of prediabetes regardless of baseline age, BMI, and WC. …”
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Evaluation of glycaemic profile variability as a basis for insulin therapy strategy in pregnant women with type 1 diabetes by Alena V. Tiselko, Maria I. Yarmolinskaya, Elena V. Misharina, Yuliya P. Milyutina

“…The relationship between glucose variability in terms of MAGE and MODD and the risk of developing macrosomia has been observed, and the dependence of glucose variability (MODD and CONGA) and the risk of neonatal hypoglycaemia and preeclampsia have also been confirmed. …”
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Effects of structured Ramadan Nutrition Plan on glycemic control and variability using continuous glucose monitoring in individuals with type 2 diabetes: a pilot study by Hasbullah, Farah Yasmin, Mohd Yusof, Barakatun Nisak, Wan Zukiman, Wan Zul Haikal Hafiz, Abu Zaid, Zalina, Omar, Noraida, Xin, Rachel Yi Liu, Marczewska, Agnieszka, Hamdy, Osama

“…CGM data showed the sRNT group had significantly lower average sensor glucose, peak sensor value, estimated A1c, percentage and duration of time-above-range, J-index, mean amplitude of glycemic excursion (MAGE), and continuous overall net glycemic action (CONGA); and a significantly higher percentage of time-in-range (TIR). …”

Continuous glucose monitoring reveals similar glycemic variability in individuals with obesity despite increased HOMA-IR by Dylan J. Cooper, Dylan J. Cooper, Sharon Zarabi, Brianna Farrand, Amanda Becker, Mitchell Roslin, Mitchell Roslin, Mitchell Roslin

“…While the group with obesity had a higher mean blood glucose (MBG), mean amplitude of glycemic excursions (MAGE), and continuous overall glycemic action-1 h (CONGA-1), these differences were not significant. …”
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Flash glucose monitoring in gestational diabetes mellitus: possibilities for assessing glycemic variability by F. O. Ushanova, T. Yu. Demidova, M. Ya. Izmaylova

“…Comparative analysis of GV parameters in groups of pregnant women with and without GDM: SD – 0.908 vs 0.7213 (p˂0.05); LI – 1.5 vs 0.8 (p˂0.05); HBGI – 0.503 vs 0.42 (p˂0.05); J-index – 10.343 vs 7.9870 (p˂0.001); MOOD – 0.956 vs 0.7992 (p˂0.05); MAGE  – 2.326  vs 1.8042  (p˂0.05); ADDR  – 2.216  vs 0.4210  (p˂0.05); MAG  – 4.612  vs 2.6163  (p˂0.001), respectively. The CONGA index did not show a statistically significant difference in both groups: 3.95 vs 3.7 (p = 0.5).Conclusions. …”
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A low-glucose eating pattern is associated with improvements in glycemic variability among women at risk for postmenopausal breast cancer: an exploratory analysis by Michelle R. Jospe, Yue Liao, Erin D. Giles, Barry I. Hudson, Joyce M. Slingerland, Susan M. Schembre

“…Pearson’s correlation and multivariate regression were used to assess associations between LGE and GV, controlling for concurrent weight changes.ResultsIncreases in LGE were associated with multiple unfavorable measures of GV including reductions in CGM glucose mean, CONGA, LI, J-Index, HBGI, ADDR, and time spent in a severe GV pattern (r = −0.81 to −0.49; ps &lt; 0.044) and with increases in favorable measures of GV including M-value and LBGI (r = 0.59, 0.62; ps &lt; 0.013). …”
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Quilotórax recorrente â uma história com 15 anos by Micaela Guardiano, Ana Lobo, Teresa Nunes, Luísa Vaz

“…Para além desta manifestação clínica, encontramos linfedema congénito, alterações faciais (face inexpressiva, edemas palpebrais, boca pequena, alterações dentárias) e atraso ligeiro de desenvolvimento. …”
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Resistant Starch Consumption Effects on Glycemic Control and Glycemic Variability in Patients with Type 2 Diabetes: A Randomized Crossover Study by Yolanda Arias-Córdova, Jorge Luis Ble-Castillo, Carlos García-Vázquez, Viridiana Olvera-Hernández, Meztli Ramos-García, Adrián Navarrete-Cortes, Guadalupe Jiménez-Domínguez, Isela Esther Juárez-Rojop, Carlos Alfonso Tovilla-Zárate, Mirian Carolina Martínez-López, José D. Méndez

“…HMS and NBS induced an increase in 24 h mean blood glucose during days 2 to 4 (<i>p</i> < 0.05). CONGA, GRADE, and J-index values were higher in HMS compared with DMS only at day 4 (<i>p</i> < 0.05). …”
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Alterations in the Levels of Circulating and Endothelial Progenitor Cells Levels in Young Adults with Type 1 Diabetes: A 2-Year Follow-Up from the Observational METRO Study by Longo M, Scappaticcio L, Bellastella G, Pernice V, Cirillo P, Maio A, Castaldo F, Giugliano D, Esposito K, Maiorino MI

“…After 2 years, we found a significant reduction of HbA1c (&minus; 0.3% versus baseline, P &lt; 0.001), associated with decrease in mean amplitude of glucose excursion (MAGE) (&minus; 0.5 mmol/L versus baseline, P&lt; 0.001), continuous overall net glycemic action (CONGA) (&minus; 0.2 mmol/L versus baseline, P=0.006), and blood glucose standard deviation (BGSD) (&minus; 0.2 mmol/L versus baseline, P&lt; 0.001). …”
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Sequestro broncopulmonar â Experiência de 12 anos by Julieta Vieira, Ana Rego, Ana Oliveira, Daniela Sá Ferreira, Antónia Furtado, António Couceiro, José António Miranda, Francisco Leal, Luís Vouga

“…Resumo: Sequestro broncopulmonar (SBP), também denominado sequestro pulmonar, definese como uma mal-formação congénita do tracto respiratório inferior, consistindo numa porção de tecido pulmonar que não está em normal comunicação com a árvore traqueo-brônquica e que recebe suprimento sanguíneo arterial através da circulação sistémica.Pode classificar-se em sequestro intralobar (SIL) e sequestro extralobar (SEL), dependendo da sua relação com o restante parênquima pulmonar. …”
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Effects of reducing free sugars on 24-hour glucose profiles and glycemic variability in subjects without diabetes by Christina Laeticia Pappe, Beeke Peters, Beeke Peters, Henrik Dommisch, Henrik Dommisch, Johan Peter Woelber, Olga Pivovarova-Ramich, Olga Pivovarova-Ramich, Olga Pivovarova-Ramich

“…Mean 24-h glucose as well as intra- and inter-day indices of glucose variability, i.e., standard deviation (SD) around the sensor glucose level, coefficient of variation in percent (CV), mean amplitude of glucose excursions (MAGE), continuous overlapping net glycemic action (CONGA), and mean absolute glucose (MAG), were calculated for the baseline and intervention phases.ResultsDuring the intervention, the RS group decreased the daily intake of sugar (i.e., −22.4 ± 20.2 g, −3.28 ± 3.61 EN %), total carbohydrates (−6.22 ± 6.92 EN %), and total energy intake (−216 ± 108 kcal) and increased the protein intake (+2.51 ± 1.56 EN %) compared to the baseline values, whereby this intervention-induced dietary changes differed from the control group. …”
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C24. Ventilação domiciliária âfora de casaâ by Luisa Pereira, Teresa Nunes, Teresa Bandeira

“…Pensamos que este tipo de apoio tecnológico só trará plenas vantagens para o doente (e família) se este poder participar na vida social e escolar das crianças e jovens da sua idade em lugar de estar hospitalizado em casa.Na nossa Unidade estão actualmente em programa de VLD 26 crianças, das quais 7 com situações que exigiram traqueostomia (1 displasia broncopulmonar, 1 lesão medular cervical, 1 doença de Duchenne, 1 distrofia muscular congénita por défice de merosina, 1 miopatia multicore, 1 artrogripose e 1 lesão do tronco por hemorragia cerebral) e ainda 2 crianças que embora com VNI têm dependência de ventilação superior a 22 h/dia (1 neuropatia sensitivo-motora e 1 paralisia cerebral). …”
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Reanimación neonatal en prematuros de 27 a 30 semanas de gestación, con determinación de requerimientos de oxígeno, porcentaje de saturación y su relación con la morbilidad n... by A.L. Neita-Niño, M.A. Rivera-Rueda, L.A. Fernández-Carrocera, M.L. Granados-Cepeda, I.A. Coronado-Zarco, J.A. Cardona-Pérez

“…Se incluyeron neonatos de 27 a 30 semanas de gestación; se excluyeron neonatos con malformaciones congénitas mayores y las defunciones antes de las 36 semanas de edad gestacional corregida. …”
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Nonâinvasive ventilation in complex obstructive sleep apnea â A 15âyear experience of a pediatric tertiary center by I.C. Girbal, C. Gonçalves, T. Nunes, R. Ferreira, L. Pereira, A. Saianda, T. Bandeira

“…Vinte e duas (32%) eram crianças e 25 (37%) adolescentes.O diagnóstico mais comum foram as malformações congénitas e as doenças genéticas em 34 (50%) pacientes. …”
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A Bayesian method to infer copy number clones from single-cell RNA and ATAC sequencing. by Lucrezia Patruno, Salvatore Milite, Riccardo Bergamin, Nicola Calonaci, Alberto D'Onofrio, Fabio Anselmi, Marco Antoniotti, Alex Graudenzi, Giulio Caravagna

“…CONGAS+ clusters cells into tumour subclones with similar ploidy, rendering straightforward to compare their expression and chromatin profiles. …”
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