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dataset for helping and job performance dilemma study
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A virus is a small infectious agent that replicates only inside the living cells of an organism. Viruses can infect all types of life forms, from animals and plants to microorganisms, including bacteria and archaea. In evolution, viruses are an important means of horizontal gene transfer, which increases genetic diversity in a way analogous to sexual reproduction. Influenza (Including (COVID-19), is an infectious disease caused by an influenza virus. Some viruses especially smallpox, throughout history, has killed between 300-500 million people in its 12,000-year existence. As modern humans increased in numbers, new infectious diseases emerged, including SARS-CoV-2. We have two groups of virus, RNA and DNA viruses. The most brutal viruses are RNA ones like COVID-19 (Sars-CoV-2
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Dataset for modeling risky driver behaviors based on accelerometer (X,Y,Z axis in meters per second squared (m/s2)) and gyroscope (X,Y, Z axis in degrees per second (°/s) ) data. Sampling Rate: Average 2 samples (rows) per second Cars: Ford Fiesta 1.4, Ford Fiesta 1.25, Hyundai i20 Drivers: 3 different drivers with the ages of 27, 28 and 37 Driver Behaviors: Sudden Acceleration (Class Label: 1), Sudden Right Turn (Class Label: 2), Sudden Left Turn (Class Label: 3), Sudden Break (Class Label: 4) Best Window Size: 14 seconds Sensor: MPU6050 Device: Raspberry Pi 3 Model B Please See Summary Table for summary of the collected data.
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Eight figures and eighteen tables relevant to this study.
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How precise is quantitative prediction of drug-drug interactions and genotype from in vitro data: A comprehensive analysis on the example CYP2D6 and CYP2C19 substrates -Supplementary material
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We showed that S1P and its receptor S1PR2 are involved in maintaining the epidermal barrier homeostasis by controlling tight junction related proteins, corneodesmosin, and filaggrin2 expression.
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  • Tabular Data
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Clinical data of patients with arthroscopically confirmed TFCC lesion including preoperative weight bearing capacity tests. We tested the difference between weight bearing capacity of the injured hand compared to the healthy hand and to the injured hand with WristWidget. Further analysis compared the groups: traumatic vs degenerative lesion; stable vs unstable DRUJ determined by the need for a stabilising operation. Data includes Patient ID, age at time of injury/symptom onset (A_Verletzung), handedness (R_L, right=1), injured side (Verl_R_L, right=1, left=2), supposed aetiology (Trauma: 1=traumatic, 2= degenerative), DASH-score (DASH_T0, points), time until examination (Verl_bis_T0, days), pain on forced supination/pronation (fPronation_T0 and fSupination_T0, yes=1, no=2), clinical stability of the DRUJ of the affected hand (DRUG_Stab_T0, 1=unstable, 2=stable), clinical stability of the DRUJ of the other hand (DRUG_Stab_K_T0, 1=unstable, 2=stable), pain on pressure on the ulnar fovea (TFCC_Druck_T0, yes=1, no=2), pain on forced ulnarduction (Abkant_T0, yes=1, no=2), handgrip of both hands (Jamar_R_T0 for right and Jamar_L_T0 for left, in kg), weight bearing capacity in kg of both hands (WB for weight bearing, li for left, re for right, krank for affected hand, gesund for other hand, in kg), weight bearing capacity of both hands with wristwidget (WB for weight bearing, WW for wristwidget), extension of the wrist during weight bearing test (Ext_max_re/li_T0 in degrees), derived variables concerning the weight bearing test (WB_Proz_T0 = WB_krank_T0/WB_gesund_T0; Diff_WW... = WB_WW- WB in kg; Proz_WB_WW... =WB_WW/WB*100), range of motion in degrees for dorsal/palmarflexion (D_re/li_T0 and P_re/li_T0, re for right, li for left), ulnar/radialduction (U_re/li_T0 and R_re/li_T0, re for right, li for left), pro/supination (Sup_re/li_T0 and Pro_re/li_T0, re for right, li for left), range of motion (Summe_ROM_re/li_T0 = D+P+U+R), sum of pronation and supination (Summe_SP_re/li_T0), range of motion of affected hand relative to other hand (ROM_Proz_T0= Summe_ROM_aa_T0 / Summe_ROM_bb_T0*100 with aa=Verl_R_L and re for right and li for left), sum of pronation and supination compared to the other hand (ROM_SP_Proz_T0=Summe_SP_aa_T0/Summe_SP_bb_T0), the same with differentiation between affected hand (krank) and other hand (gesund) differentiation between traumatic and degenerative lesions in the MRI report (MRT_ukb_traumatischdegenerativ, 0=no injury seen, 1=traumatic, 2=degenerative, MRI field strength (Tesla, value in Tesla, some missing values), static ulnar variance (Röntgenbefund_Ulna, , dynamic ulnar variance in mm, weight bearing test capacity during x-ray, derived variables regarding the weight bearing test, information about stabilising operation, information about intraoperative assessment on type of lesion (traumatic/degenerative). Further information on request as description field is limited.
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Experimental data
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This is a dataset on Ghanaian patients’ perception of how nurses, midwives, and doctors communicate with patients, using Four Habits Patients’ Questionnaire
Data Types:
  • Software/Code
  • Dataset
Study aim: To study Gamma-enhancing neurofeedback learning process and evaluate its efficacy on visual feature binding and fluid intelligence Sample size: 18 healthy female students (mean age: 24.24 ± 1.94 years) Dataset: ----------- 1- Demographics: 18 subjects, Age, BMI, Weight, Height, Handedness, GPA 2- IQ measure: 18 subjects, Pretest and posttest sessions 3- Visual feature binding measure: 18 subjects, Pretest and posttest sessions, Response time and Error rate 4- 4 activity baseline EEG: 18 subjects, Pretest and posttest sessions, Tasks: Eyes open, Eyes closed, Auditory sensory attentiveness, Cognitive effort 5- Neurofeedback training EEG: 8 subjects, 8 training sessions, Eyes closed baseline EEG recorded before and after training in each session, EEG recorded during training in each session
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