Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence, Clinical Characteristics, and Outcomes of Sepsis Caused by Severe Acute Respiratory Syndrome Coronavirus 2 Versus Other Pathogens in Hospitalized Patients With COVID-19

IMPORTANCE: The prevalence and causes of sepsis in patients hospitalized with COVID-19 are poorly characterized. OBJECTIVES: To investigate the prevalence, clinical characteristics, and outcomes of sepsis caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) versus other pathogens in patients hospitalized with COVID-19. DESIGN, SETTING, AND PARTICIPANTS: Cross-sectional, retrospective chart review of 200 randomly selected patients hospitalized with COVID-19 at four Massachusetts hospitals between March 2020 and March 2021. MAIN OUTCOMES AND MEASURES: The presence or absence of sepsis was determined per Sepsis-3 criteria (infection leading to an increase in Sequential Organ Failure Assessment score by ≥ 2 points above baseline). Sepsis episodes were assessed as caused by SARS-CoV-2, other pathogens, or both. Rates of organ dysfunction and in-hospital death were also assessed. RESULTS: Sepsis was present in 65 of 200 COVID-19 hospitalizations (32.5%), of which 46 of 65 sepsis episodes (70.8%) were due to SARS-CoV-2 alone, 17 of 65 (26.2%) were due to both SARS-CoV-2 and non-SARS-CoV-2 infections, and two of 65 (3.1%) were due to bacterial infection alone. SARS-CoV-2–related organ dysfunction in patients with sepsis occurred a median of 1 day after admission (interquartile range, 0–2 d) and most often presented as respiratory (93.7%), neurologic (46.0%), and/or renal (39.7%) dysfunctions. In-hospital death occurred in 28 of 200 COVID-19 hospitalizations (14.0%), including two of 135 patients without sepsis (1.5%), 16 of 46 patients with sepsis (34.8%) due to SARS-CoV-2 alone, and 10 of 17 patients with sepsis (58.8%) due to both SARS-CoV-2 and bacterial pathogens. CONCLUSIONS: Sepsis occurred in one in three patients hospitalized with COVID-19 and was primarily caused by SARS-CoV-2 itself, although bacterial infection also contributed in a quarter of sepsis cases. Mortality in COVID-19 patients with sepsis was high, especially in patients with mixed SARS-CoV-2 and bacterial sepsis. These findings affirm SARS-CoV-2 as an important cause of sepsis and highlight the need to improve surveillance, recognition, prevention, and treatment of both viral and bacterial sepsis in hospitalized patients with COVID-19.
Set of Simulators of the Electrophysiology of the A-Type Potassium Current (I A ) in Neurons

The A-type potassium current (I A ) participates in important brain functions, including neuronal excitability, synaptic integration, and regulation of action potential patterns and firing frequency. Based on the characterization of its electrophysiological properties by current and voltage clamp techniques, mathematical models have been developed that reproduce I A function. For such models, it is necessary to numerically solve equations and utilize hardware with special speed and performance characteristics. Since specific software for studying I A is not found on the Internet, the aim of this work was to develop a set of simulators grouped into three computer programs: (1) I A Current, (2) I A Constant-V Curves and (3) I A AP Train. These simulators provide a virtual reproduction of experiments on neurons with the possibility of setting the current and voltage, which allows for the study of the electrophysiological and biophysical characteristics of I A and its effect on the train of action potentials. The mathematical models employed were derived from the work of Connor et al . , giving rise to Hodgkin-Huxley type models. The programs were developed in Visual Basic® and the differential equation systems were simultaneously solved numerically. The resulting system represents a breakthrough in the ability to replicate I A activity in neurons.
Learning Loss Recovery Dashboard: A Proposed Design to Mitigate Learning Loss Post Schools Closure

Research has shown the effectiveness of designing a Learning Analytics Dashboard (LAD) for learners and instructors, including everyone’s levels of progress and performance. An intertwined relationship exists between learning analytics (LA) and the learning process. Understanding information or data about learners and their learning journey can contribute to a deeper understanding of learners and the learning process. The design of an effective learning dashboard relies heavily on LA, including assessment of the learning process, i.e., gains and losses. A Learning Loss Recovery Dashboard (LLRD) can be designed as an instructional tool, to support the learning process as well as learners’ performance and their academic achievement. The current project proposes a LLRD prototype model to deal with potential learning loss; increase the achievement of learning outcomes; and provide a single, comprehensive learning process, where schools can evaluate and remedy any potential learning loss resulting from the distance-learning period that was caused by the COVID-19 pandemic. This systematic dashboard prototype functions to determine learning gains by K–12 learners. It is expected that the implementation of the proposed dashboard would provide students, teachers, and educational administrators with an integrated portal, for a holistic and unified remedial experience for addressing learning loss.
Happiness in university students

La felicidad, entendida como el grado de sentido positivo atribuido a la vida, la satisfacción con la vida, el grado de realización personal y la alegría de vivir, se estudió en una muestra de estudiantes universitarios. Se realizó un trabajo no experimental de corte transversal con una muestra de 229 participantes de diferentes carreras académicas con edades entre 18 y 57 años. Los resultados obtenidos mostraron correlaciones entre las carreras académicas con el Sentido Positivo de la Vida, Satisfacción con la Vida y Alegría de Vivir. Además, se encontraron diferencias al considerar el género de los participantes, trayectoria académica, ocupación del padre y de la madre. Se analiza la influencia que tiene cada factor por separado en la felicidad de los estudiantes para concluir con una discusión sobre la importancia que otros estudios han encontrado sobre la influencia de las interacciones sociales en el mantenimiento de la felicidad, y cómo estos resultados pueden apoyar los hallazgos de nuestro trabajo. Resumo A felicidade, entendida como o grau de significado positivo atribuído à vida, a satisfação com a vida, o grau de realização pessoal e a alegria de viver foi estudada em uma amostra de estudantes universitários. Foi realizado um trabalho transversal não experimental com uma amostra de 229 participantes de diferentes carreiras académicas com idades compreendidas entre os 18 e os 57 anos. Os resultados obtidos mostraram correlações entre as carreiras acadêmicas com o Sentido Positivo da Vida, Satisfação com a Vida e Alegria de Viver. Além disso, foram encontradas diferenças ao considerar o sexo dos participantes, carreira acadêmica, ocupação do pai e da mãe. A influência que cada fator tem separadamente na felicidade dos alunos é analisada para concluir com a discussão sobre a importância que outros estudos descobriram sobre a influência das interações sociais na manutenção da felicidade, e como esses resultados podem apoiar os achados de nosso trabalho Dr Juan Martell Muñoz, MA Ps ORCID: 0000-0001-5639-0392 Source | Filiacion: Universidad Autónoma de Zacatecas BIO: Docente investigador City | Ciudad: Zacatecas [mx] e-mail: jmartellm@uaz.edu. mx José Fernando Mora Romo, [Dr] [MA] Ps ORCID: 0000-0002-6201-4622 Source | Filiacion: Universidad Nacional Autónoma de México BIO: Docente investigador City | Ciudad: Ciudad de México [mx] e-mail: j_fmora@comunidad.unam. mx Alejandro Nuñez, [Dr] [MA] Psi AutorID: authid/detail. uri? authorId=57210745460 ORCID: 0000-0001-6390-1365 Source | Filiacion: University of California, Berkeley BIO: Docente investigador City | Ciudad: Oaklan [us] e-mail: alejandronunez@berkeley.edu Laura Karina Castro Saucedo AutorID: authid/detail. uri? authorId=35148035700 ORCID: 0000-0002-3658-6301 Source | Filiacion: Universidad Autónoma de Coahuila
Lower bounds in MPC and AMPC models

The Massively Parallel Computation model is a modern theoretical approach for developing parallel / distributed algorithms. Its main feature is the fact the size of input data outstrips the memory and communication availability of a single machine. Therefore, the model assumes the existence of multiple machines for computation. As such, the MPC model is most often defined by three parameters — the input data size N , the number of machines M available for computation, and the memory size per machine of S words. A reasonable assumption here is that a single word stores a constant number of bits. Thus in practice, each machine is capable of storing Θ(S) number of bits. Moreover, in the literature, it is most often assumed that
Translational Pharmacokinetic-Pharmacodynamic Modeling for An Orally Available Novel Inhibitor of Anaplastic Lymphoma Kinase and c-Ros

ALK, anaplastic lymphoma oral clearance; C p , plasma concentration; EC 50 , drug concentration causing 50% of maximum effect; PF06463922, -8,4-(metheno)pyrazolo[4,3- E 0 , ALK phosphorylation baseline; E max , maximum effect; EML4, echinoderm microtubule-associated protein-like 4; k a , absorption rate constant; KC 50 , the plasma concentration causing 50% of maximum effect; k in , zero-order formation rate constant, K max , maximal tumor killing rate constant; k md , first-order rate degradation rate constant for a modulator; k ng , net tumor growth rate constant; k out ,first-order degradation rate constant; MET, hepatocyte growth factor receptor; NSCLC, non–small-cell lung cancer; OFV , objective function value; PKPD, pharmacokinetic-pharmacodynamic; ROS1, c-Ros oncogene 1; T ss , maximum sustainable tumor volume; Tsc , tumor stasis concentration; V/F , oral volume of distribution. ABSTRACT An orally available macrocyclic small molecule, PF06463922, is a selective inhibitor of anaplastic lymphoma kinase (ALK) and c-Ros oncogene 1 (ROS1). The objectives of the present study were to characterize the pharmacokinetic-pharmacodynamic relationships of PF06463922 between its systemic exposures, pharmacodynamic biomarker (target modulation) and pharmacological response (antitumor efficacy) in athymic mice implanted with H3122 non-small cell lung carcinomas expressing EML4-ALK mutation (EML4-ALK L1196M ) and with NIH3T3 cells expressing CD74-ROS1. In these nonclinical tumor models, PF06463922 was orally administered to animals with EML4-ALK L1196M and CD74-ROS1 at twice daily doses of 0.3 to 20 mg/kg/dose and 0.01 to 3 mg/kg/dose, respectively. Plasma concentration-time profiles of PF06463922 were adequately described by a one-compartment pharmacokinetic model. Using the model-simulated plasma concentrations, a pharmacodynamic indirect response model with a modulator sufficiently fit the time-courses of target modulation (i.e., ALK phosphorylation) in tumors of EML4-ALK L1196M driven models with EC 50,in vivo of 36 nM free. A drug-disease model based on an indirect response model reasonably fit individual tumor growth curves in both EML4-ALK L1196M and CD74-ROS1-driven models with the estimated tumor stasis concentrations of 51 and 6.2 nM free, respectively. Thus, the EC 60,in vivo (52 nM free) for ALK inhibition roughly corresponded to the tumor stasis concentration in an EML4-ALK L1196M -driven model, suggesting that 60% ALK inhibition would be required for tumor stasis. Accordingly, we proposed that the EC 60,in vivo for ALK The estimated Tsc (10 ng/mL corresponding to 6.2 nM free) in a ROS1-tumor model was approximately 10-fold lower than that (51 nM free) in an ALK-tumor model, demonstrating that PF06463922-mediated antitumor efficacy was more potent in a ROS1-tumor models than an ALK-tumor model as consistent with the difference in the EC 50,in vitro values of 0.2 and 15 nM for ROS1 and ALK inhibition, respectively.
Support for non-compund RTCP in RTCP AVPF profile, opportunities and consequences

This memo discusses benefits and issues that arise when allowing RTCP packets to be transmitted as non-compound packets, i.e. not follow the rules of RFC 3550. Based on that analysis this memo proposes changes to the rules to allow feedback messages to be sent as non- compound RTCP packets when using the RTP AVPF profile (RFC 4585) under certain conditions.
Development of freeze-dry kits containing imatinib and different chelating agents: characterization, stability and cytotoxicity studies

: The current study aims to develop new freeze-dry kits containing Imatinib and different chelating agents for breast cancer treatment and diagnosis as theranostics. Four formulations (Kit-1, Kit-2, Kit-3, and Kit-4) were prepared, and the characterization of formulations was assessed utilizing particle size, polydispersity index, zeta potential, fourier transform infra-red analysis, ultraviolet spectrum analysis, differential calorimetry, and thermogravimetric analysis. They were also evaluated for stability at different storage conditions and cytotoxicity effect on fibroblast NIH-3T3 cells. The particle size, polydispersity index, and zeta potential of developed formulations were found to be between 6953.6 ±131.6 and 5888.3 ± 131.6 nm, 0.481 ± 0.24 and 0.319 ± 0.18, -594.5±59.6 and -477.3 ± 25.32 mV, respectively. F ourier transform infra-red analysis, ultraviolet spectrum, differential calorimetry, and thermogravimetric analysis have proven that IMT and chelating agents formed complexes in kit formulations. Also, they exhibited stable facility and above 90% of cell viability on fibroblast NIH-3T3 cells. By the result of our study, kit formulations can be a favorable drug delivery system in the treatment and diagnosis of breast cancer with a non-toxic effect on healthy cells.
Papillary Renal Cell Carcinomas Demonstrating Micropapillary Features: An Investigation Into the Diagnostic and Prognostic Implications

Aims: Papillary renal cell carcinoma (PRCC) with micropapillary carcinoma (MC) has been rarely described. We conducted a retrospective descriptive evaluation of the association of MC with PRCC and the possible prognostic implications. Methods: A database search was made at the University of Southern California (USC) and Lenox Hill Hospital (LHH; New York City) in June 2016-June 2019 of PRCC cases with MC. Diagnosis of MC was made using routine histology, based on the presence of small clusters of cells without a vascular core. Features evaluated included: percent of MC, gross appearance, PRCC typing, nuclear grade, lymphovascular invasion, and lymph node metastasis. Results: 848 RCC cases (690 from USC and 157 from LHH); 70 cases PRCC (54 from USC, 16 from LHH) of these cases, 13 had an MC, 12 were from radical nephrectomy, and 12 cases were male. Mean age was 68.3 years; seven were located in the right kidney. Average tumor size was 8.6 cm. MC ranged from 10% to 80% (average 37.5%), nine cases were PRCC type 2 and four type 1. Nuclear grade: three cases (grade 2), nine cases (grade 3), and one case (grade 4); 11 out of 13 tumors presented with extrarenal extension; nine cases that had lymph nodes submitted had metastatic carcinoma. Conclusions: The presence of a micropapillary component in PRCC was found to be 18.5%, and it was predominantly associated with high pathologic stage and lymph node metastases. The clinical course of these tumors seems similar to MC in other tissues/organ systems. We advocate reporting this pattern when identified.
Novel pyrazole substituted oxazole derivatives: Design, insilico studies, synthesis & biological activities

: A potent antibacterial drug was developed by synthesizing a set of new pyrazoles substituted oxazole derivatives using multi-step synthesis. FT-IR, 1 H-NMR, Mass spectroscopy, and bases of microanalyses are employed to confirm the structure of compounds. Molinspiration online tool was used to predict the molecular properties and molecular docking was used to predict the antitubercular potency of the target compounds. 10-Fold serial dilution method, agar streak dilution test, and DPPH radical scavenging methods are utilized to evaluate antitubercular, antibacterial, and radical scavenging properties of test compounds and reference drugs, respectively. Varying degree of antitubercular, antibacterial, and radical scavenging activities (mild to good) was displayed by synthesized oxazole compounds. In general, unsubstituted oxazole derivatives exhibited superior antibacterial potency than substituted analogs. In addition, meta-substituted analogs displayed higher activity than the corresponding para-substituted analogs. Among fifteen tested target compounds, the potent compound of this series was found to be 4-(4-(5-phenyl-4,5-dihydro-1 H -pyrazol-3-yl)benzylidene)-2-methyloxazol-5(4 H )-one ( PBO8 ). Hence, this analog may be used as a lead molecule to find potent & safer antibacterial agents.
Developing an Approach in Calculating Reference Currents for Field-weakening Control

Field-weakening control is an efficient way to achieve higher speed or larger torque within constraints of the supplied voltage and current. However, computing reference d-q axes currents for controllers is a complex project due to nonlinearity among the limited dc-link voltages, stator currents, and motor torque. This study proposes an approach to calculate the reference currents based on the model of the interior permanent magnet synchronous machine (IPMSM). It dedicates to simplify computation, where maximal torque per Ampere (MTPA) and maximal torque per voltage (MTPV) points are utilized. On a torque contour, the MTPA point has the maximal efficiency, and the MTPV point has the maximal voltage margin from the voltage constraint. Every MTPA or MTPV point is invariable if ignoring influence of temperature and corresponds to a maximal allowable speed within voltage and current limitations. The proposed approach linearly combines the MTPA and MTPV points on the same torque contour with respect to the speed, to reduce computational cost. The calculated working point can satisfy torque requirement accordingly. The validity of the proposed approach in field-weakening control is proved by simulations and experiments.
Design of Substrate Integrated Waveguide micro- wave planar directional coupler

Planar directional coupler using Substrate Integrated Waveguide technology (SIW) is proposed in this paper. The SIW coupler with tapered microstrip-SIW transitions are integrated on the same substrate. Planar form makes this coupler structure easily integrable in microwave planar circuits. These proposed power dividers can be applied to the design of the beam-forming network for communication system. This structure is designed with Finite Element Method (FEM) using HFSS on a single substrate of ARLON 1000. Simulated results are presented and discussed.
Acceptability of technical knowledge on cotton cultivation through media in Haryana

Title of thesis : Acceptability of technical knowledge on cotton cultivation through media in Haryana Full name of degree holder : Reeta Devi Yadav Admission No. : 2012HS4D Title of degree : Ph.D. Name and address of major Advisor : Dr. (Mrs.) Rita Goel, Professor Department of Extension Education and Communication Management, CCS Haryana Agricultural University, Hisar-125004 (India) Degree awarding University/Institute : CCS Haryana Agricultural University, Hisar-125004 (India) Year of award of degree : 2016 Major Subject : Extension Education and Communication Management Total number of pages in thesis : 91+vii+XIX Number of words in the abstract : 331
Uso de redes complexas para detecção de tendências em séries temporais: extensões e aplicações em séries temporais de índices financeiros

ALMEIDA, Felipe Augusto de. Use of complex networks to detect trends in time series: extensions and applications in time series of financial indexes. 2022. 71 p. Dissertation (Master of Science) – School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, 2022. The analysis of time series has played an important role in several areas, such as meteorology, economics, medicine, production engineering, among others. These areas have in common, in addition to their critical importance in today’s world, an inherent complexity that makes it necessary to use increasingly more robust tools. A promising area in time series analysis is machine learning, and learning methods based on complex networks have been recently proposed. In this work, we evaluate and extend a complex network-based method for detecting trends in financial time series. As a benchmark, this approach was compared with the Random forests algorithm, one of the most widespread traditional machine learning methods. In the experiments carried out, Random forests performed better than complex networks, both in terms of accuracy and computational cost. Nevertheless, the approach based on complex networks is still relatively recent and has potential for future developments.
Finding the Optimal Mix between Telework and Office Hours to Enhance Employee Productivity : A Study into the Relationship between Telework Intensity and Individual Productivity, with Mediation of Intrinsic Motivation and Moderation of Office Hours

This survey study among 111 teleworkers in a bank organization investigated the relationship between telework intensity and individual productivity, and whether this relationship was mediated by employees’ intrinsic motivation. Also the moderating role of office hours in the model’s associations was studied. Based on the Job Demands-Resources Model (Bakker & Demerouti, 2007) and the professional isolation literature (e.g., Golden, Vega, & Dino, 2008), we developed and tested a set of hypotheses. Partly in line with expectations, we found a direct curvilinear relationship between telework intensity and individual productivity, characterized by a slight, non-significant positive association at the low telework intensity end, and a significant negative association for the high telework intensity end. Strikingly, we neither found support for a mediating role of intrinsic motivation, nor for a moderation effect of the number of office hours in the relationship between telework intensity and intrinsic motivation. However, the direct relationship between telework intensity and individual productivity appeared to be moderated by the number of office hours. It was concluded that consequences for productivity are contingent on telework intensity, and that the number of office hours has an important impact on the consequences of different telework intensities. The study’s outcomes can inform management and HR practitioners to understand how to implement and appropriately make use of telework.