Data for: Adherence to non-opioid multimodal analgesia (NOMA) protocol is associated with a shorter length of stay after thoracic surgery
Contributors: Mindaugas Pranevicius, Denise Sullivan, Jody M. Kaban, MD, FACS, Aurimas Knepa, Leonard Golden, Afshin Parsikia, Jack Kuttz
... Study objective: To review the outcomes of non-opioid multimodal analgesia (NOMA) in patients after thoracic surgery. Design: Retrospective one-year cohort. Setting: Single hospital, level one trauma center. Patients. 29 ASA 2-4 patients after thoracotomy (8), open lung biopsy or video-assisted thoracic surgery (VATS) operated by a single surgeon. Interventions: NOMA protocol included intravenous acetaminophen alternating with ketorolac every 3 hours (each every 6 hours, later converted to oral acetaminophen and ibuprofen) with a low dose (0.05mg/kg/h) IV ketamine infusion up to chest tube removal. Opioids were not routinely prescribed from postoperative day one. Measurements: NOMA adherence versus breach (need for >2 opioid rescue doses/24h) rate and it’s association with the perioperative variables and length of stay was explored from the chart review. Main Results: The median (IQR) postoperative opioid requirement was 3 (0-6) doses per hospital stay. 7/29 patients (CI 10-44%) required >2 opioid rescue doses/24 h. Need for opioid rescue was associated with lower BMI and using hydromorphone as oppose to morphine in the recovery room. 3/29 patients were prescribed opioids on discharge. No patients required opioids on follow-up and 63% were pain-free. Median length of stay was 3 (2-5.25) days in NOMA compliant and 9 (6-11) days in opioid rescue groups (P=0.002). In subgroup analysis length of stay reduction was limited to non-thoracotomy patients.
Data for: The PERK/Nrf2 pathway mediates endoplasmic reticulum stress-induced injury by upregulating endoplasmic reticulophagy in H9c2 cardiomyoblasts
Contributors: Xiuhua Liu
... ERS caused ER-phagy with a decrease in cell viability and an increase in cell death in H9c2 cardiomyoblasts.(A) Live/Dead staining of H9c2 cardiomyoblasts was performed using a LIVE/DEAD® Viability/Cytotoxicity Kit (bar=40 μm, n=3). TG- or TM-treated H9c2 cardiomyoblasts were incubated with calcein-AM (green) and EthD-1 (red) for 10 min, and the fluorescence was visualized using a confocal microscope. Green fluorescence indicates live cells, while red fluorescence indicates dead cells. (E) Ultrastructural lesions in the ER caused by TG or TM and the occurrence of ER-phagy were observed via transmission electron microscopy (bar=500 nm). (F) Representative confocal microscopy images corresponding to analysis of ER-phagy for TG- or TM-treated H9c2 cardiomyoblasts and showing colocalization of autophagosomes with ER-fragments (bar=15 μm; n=3). LC3B was labeled with Texas Red, while calreticulin was labeled with Alexa Fluor 488.
Contributors: Pradeep Koulgi, Nicholas Clinton, Krithi Karanth
Contributors: Ling-Ling Chen
... Detailed description of this data can be accessed in Yang et al. Dynamic imaging of RNA in living cells by CRISPR-Cas13 systems.
Contributors: Prakash Acharya, Mahesh Mathur
... Supplementary figures for the article "Hidradenitis suppurativa and smoking: a systematic review and meta-analysis"
Data for: The preferred and avoidance temperatures of Cyclops kolensis Lilljeborg, 1901 and their relation to the optimal, pessimal and temperature of normal performance of the species.
Contributors: Vladimir Verbitsky, Valentina Lazareva, Elena Medyantseva, Andrey Grishanin, Olga Malysheva, Svetlana Zhdanova, Tamara Verbitskaya
... A description is given of the method for studying of the temperature preferendum of plankton organisms in a horizontal temperature gradient.
Contributors: Rubén Flores-Campos, Rosa Hilda Estrada-Ruiz, Gema Ramos-Escobedo
... Solid-liquid electrical conductivity is a tool easy to use to monitoring the quality of coal.
Data for: Research on vision-based tile recognition algorithms for robot grasping task in EAST tokamak
Contributors: Jiasheng Liu
... Data for the 100 experiments to test robustness of the proposed algorithm to fallen location.
Contributors: Philippe Giguère, Jonathan Gaudreault, Mathieu Carpentier
... (Part 4 out of 4) 23,000 cropped images of tree bark, for 23 species of trees around Quebec City, Canada. The images were captured at a distance between 20-60 cm away from the trunk. Labels include: individual tree ID, its species, and its DBH (diameter at breast height). Pictures were taken with four different devices: Nexus 5, Samsung Galaxy S5, Samsung Galaxy S7, and a Panasonic Lumix DMC-TS5 camera. The dataset is sufficiently large to train a Deep network such as ResNet for species recognition.
Net power output and thermal efficiency data for single and double flash cycles of Cerro Prieto geothermal power plants
Contributors: Emilio Hernandez
... The data presented below is the thermodynamic simulation and mathematical model development for the single and double flash cycles of Cerro Prieto geothermal power plants. For more insight into analysis thermodynamic, please see "thermodynamic simulation and mathematical model for single and double flash cycles of Cerro Prieto geothermal power plants". The datasets contained in this paper are thermodynamic simulations obtained in Aspen Hysys software, the data described represents the net power output and thermal efficiency for Cerro Prieto geothermal power plants, located in Mexicali, México. A single flash and double flash cycle have been selected for power generation at this facility. The single flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), Separator pressure (kPa), Condenser pressure (kPa), Turbine’s power (kW), Phase Fraction, Mass Flow (kg/h), Energy input (kW) and Energy output (kW). Whereas the double flash net power output and the thermal efficiency data includes eight main parameters: Well temperature (°C), High-pressure separator (kPa), Low-pressure separator (kPa), Condenser pressure (kPa), Turbine’s power (kW), Phase Fraction, Mass Flow (kg/h), Energy Input (kW) and Energy output (kW).