Hello~

As the following circuit shows, VCC+5V_USB is the 4^th power source, connecting the output of power management of diode.There are 3 5V input in the input port of LTC4417.

It’s normal when VCC+5V_USB prodive power with other circuit. However, if I cup VCC+5V_FIRST,VCC+5V_SECOND,VCC+5V_THIRD, 5V voltage will occurred in the VCC+5V_FIRST,VCC+5V_SECOND,VCC+5V_THIRD.

The LTC4417 PDF

Is this phenomance normal ?

Please kindly give me some advice ! Thanks.

hi,

     I save the waveform file of the oscilloscope as CSV file format.

     Now, I need to use this waveform file as the source of the low-pass filter .

     I searched and read the PSPICE help documents, and did not find any  methods. 

     How to realize it?

     Are there any reference documents or examples?

     Thanks!

This blog explores how Virtuoso Studio Net Tracer can help you perform a design review.

We’ll use the net connectivity option, which allows the user to get a clean highlighted net. You can use the Net Tracer tool to highlight the nets. You can find the Net Tracer command under the connectivity pulldown menu in the layout window.

Trace manager and the ability to display different islands on the same net with other colors, you can identify and connect the unconnected islands as you wish.

The Net Tracer utility traces the nets in the physical view (layout). The trace is a highlighted net, which is a non-selectable object. The Net Tracer utility is available from Virtuoso Layout Suite XL onwards. You can use this utility based on your specific needs and preferences.

For a better understanding of the Net Tracer feature, let’s see one scenario between the circuit designer and layout engineer for a layout design review.

Circuit designer: Can we go through the routed input nets “inm” and “inp”?

Layout engineer: From the below layout view where they are highlighted using the XL connectivity, today I will use Net Tracer utility for the design review.

Circuit designer: I have never heard of this feature. Let's see how it works.

Layout engineer: Sure, now we turn on the Net Tracer toolbar using the below option.

You see the Net Tracer options form here:

As you can see on my screen, I have opened the layout view and engaged the Net Tracer utility.

Net Tracer allows shapes to be traced on a net in two tracing modes, namely, physical and logical, where shapes on the same net are physically or logically connected.

Physical tracing gathers all the shapes physically connected on the same net.

Logical tracing gathers all the shapes assigned to the same net. It highlights the net as in the source design (schematic). It will highlight shapes on the same net, even if they are isolated shapes that are not physically connected.

For this scenario, let us use physical tracing for input nets “inm” and “inp."

Highlighted nets are shown below:

Net “inm”                    Net “inp”                   Nets “inm” and “inp” 

Net Tracer has features like physical and logical tracing, preview, step-by-step mode, ease of tracing a net on a shape out of multiple underlying shapes, and so on.

Let us explore logical tracing for output nets “outm” and “outp”:

Here, you can see how to enable true color and halo before enabling logical tracing to identify the metal route. After enabling the true color halo, enable the logical trace.

Here, I am opening the trace manager to search “outm” and “outp” and click trace. That will trace the particular nets as shown.

Net Tracer has a preview feature, which is helpful in terms of the number of previewed objects. This preview capability hints at how the trace would appear when you create it. This useful feature in Virtuoso Studio highlights both completed and incomplete nets, helping the user better understand the status of the highlighted nets.

Circuit designer: Thanks for the design review. You have done good work. Net Tracer clearly shows both types of tracing, and it was even easy for the circuit designer to understand.

Layout engineer: Let me share the link to the Net Tracer RAK, where other layout engineers can explore many more amazing features of the Net Tracer.

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Knowledge Booster Training Bytes is an online journal that relays information about Cadence Training videos, online courses, and upcoming webinars that are available in the Learning section of the Cadence Learning and Support portal. This blog category brings you direct links to these videos, courses, and other related material on a regular basis.

Sandhya.

On behalf of the Cadence Training team

Hi,

I have a monitor plugged to my laptop using a HDMI to USB adapter. When using this adapter, Allegro runs very slowly. It seems that it is not using my video card.

Is this a known issue with a workaround I can try?

Thanks,

Michael

I have tried replicating the setup described in a previous post (here), with the proposed solution.

The MDL measurements return a value of 0 for all exported result but the first.

Using Viva I can actually see the correct value for each contribution.

I am using :
- Spectre 23.1.0.538.isr10
- Viva IC23.1-64b.ISR8.40

What should I do differently?

Thanks!

**** test.measure ****

Measurement Name   :  noi_test
Analysis Type      :  noise
noi_total             =  6.9282e-06
r1_flicker            =  0
r1_thermal            =  0
r1_total              =  0
r2_flicker            =  0
r2_thermal            =  0
r2_total              =  0

IC 23.1-64b.ISR8.40

Hi all, I'm trying to run an stb analysis in a dspf extracted view via Probe terminal. The instance exist in the dspf and I already prepended the X that is placed in the dspf extraction.

Spectre complains with the following error:

Error found by spectre during STB analysis `stb'.
    ERROR (SPECTRE-16408): The probe parameter must be specified to perform stability analysis.

Analysis `stb' was terminated prematurely due to an error.

What is missing here?

Hello,
I'm trying to characterize a full adder that use transmission gate.
Unfortunately, the power calculation are wrong for the cell are always negative.
Is there any method or commands that can can help in power calculation or add the power consumption by the input pins to the power calculation ?
Another question, Is liberate support the characterization or transmission gate cells as standard cells or I should use liberate AMS for these type of cells ?
Thanks in advance,
Tareq 

I'm completely new to Cadence. I've been able to run a very simple simulation with the -gui option. Simvision opens, I add the variables to the waveform viewer, and press run. All is good.

I don't understand the flow when using the -nogui option. It appears that the simulation runs and returns control to the OS. When I launch Simvision, is there a database or file that I can open to display the already-simulated data?

My command is of the form:

xrun -gui -64bit -sv -access +rwc -top tb_top.sv <src files>

I would like to send an update about a vmanager regression status x days after the regression has been run. In the current environment, the vmanager regression is creating a new filepath for logs automatically based on regression name/date, so I can't use a cron job to gather logs, as the log location is not known. 

I tried to use the pre session script to launch a detached shell script that would run after a delay, but when the pre_script runs, it waits until everything is completed before finishing and moving on to starting the regression.

Here is the test pre_script I am using:

#!/bin/sh

echo "pre_script start"

delay_script "FIRST" 1
nohup delay_script "SECOND" 30 & disown
delay_script "THIRD" 1

echo "pre_script end"
exit 0

Here is the test delay_script I am using:

#!/bin/sh

echo "Starting $1"

sleep $2

echo "Ending $1"

Here is the script output when run from terminal. After the "pre_script end", I get control back.

Here is the script output when run from vmanager. There is no "nohup", and the pre_session phase doesn't complete until all the delay scripts complete.

My question is, is there a better way to achieve my goal here? (The goal being to run a script from the vmanager log directory automatically x days after the regression). I think I could use the pre_script to send directory information for an auxiliary cron job to pick up, but I would prefer to not have to have extra cronjobs needed for this.

Hi, 

I am running a regression in order to collect the coverage. However I have an issue. I am setting a signal to 0 when reset is de-asserted  then this signal takes a fixed value when the reset is asserted. 

if(!rst_n) 
init_val= 'b0;

else 

init_val= 31'h34013FF7

the issue is that I got 0%  coverage for the init_value since we only have a rising edge and the signal is not toggling during the simulation. is there an option to collect coverage when there is a rising edge or a falling edge? 

I have been using the rank feature to identify tests that are redundant in our environment, but then I realized I'd also like to be able to see exactly what coverage goes into increasing the delta_cov value for a given test. If I had a test in my rank report that contributed 0.5% of the delta_cov, how could I got about seeing exactly where that 0.5% was coming from? It seems like that might be part of the correlate function, but I couldn't mange to find a way to see what specific coverage was being contributed for a given test.

Hi

I have tried using "add net constraints" command to place one-cold constraints on a tristate enable bus. In the command line we need to specify the "net pathname" on which the constraints are to be enforced.

The bus here is 20-bit. How should the net pathname be specified to make this 20-bit bus signals one_hot or one_cold.

The bus was declared as follows:
ten_bus [19:0]

The command I used was

add net constraints one_hot /ren_bus[19]

What would the above command mean?
Should we not specify all the nets' pathnames on the bus?
Is it sufficient to specify the pathname of one net on the bus?
I could not get much info regarding the functionality of this command. I would be obliged if anyone can throw some light.

Thanks
Prasad.

The silkscreen layer plays a crucial role in the assembly, repair, and testing of a PCB. You can add a variety of information to this layer, such as the location of the components, polarity, component orientation, on-off switches, LEDs, and testpoint...(read more)

A constraint is a user-defined property, or a rule, applied to a physical object, such as a net, pin, or via in a design. There are a number of constraints that can be applied to an object based on its type and behavior. For example, you can define t...(read more)

Dear Community,

I have created a PCB layout with multiple high-speed nets, I want to check the SI like how signals are reflected and taken to each other.

I have the OrCAD X Professional, how to check the reflection and crosstalk using the OrCAD X Professional software version 24.1.

I want to create a topology flow to the PCB layout and perform the reflection and crosstalk.

Regards,

Rohit Rohan

Dear Community,

I have created a PCB board and let's say I have found some parts of the PCB board where there are impedance issues, then how to resolve that impedance issue using the OrCAD X Professional.

Regards,

Rohit Rohan

Ukraine abandoned its constitutional neutrality to pursue EU and NATO membership only in 2019, years after Russia annexed Crimea and backed pro-Russia separatists in Donbas. NATO considered Ukraine’s membership after Moscow invaded Georgia, starting a war in Europe.

Summer Institute 2024: Infusing Korean Studies in American Undergraduate Higher Education

Proceeding to the discovery phase means both parties must collect and exchange evidence.

Parliamentary representation by women in Pacific Island countries remains stubbornly low at 8.4 percent. Yet women leaders across the region have been meeting every year for the past four decades to discuss goals and drive action to address gender inequality and the most pressing development challenges in the Pacific. One of the critical issues discussed […]

The town planning department on Tuesday signed a contract for the demolition of two apartment buildings in the government housing settlement of Platy in Aglandja, Nicosia, as part of the government’s Ktizo plan, which aims atimproving living conditions in refugee estates. According to a statement released by the interior ministry, the agreed cost for the […]

Extreme heat is an invisible but increasingly tangible climate risk. It varies by time and place and has wide-reaching but unequal impacts, particularly to women and vulnerable people. As global temperatures rise, extreme heat events (heat waves) are becoming more frequent and severe.

Research on ICT and capacity building for poverty reduction, focusing on lessons learned from a distant learning course in microfinance.

Taiwan’s first ever minister of digital affairs has transformed politics, using online platforms and AI to give power to the country’s citizens – with lessons for us all

They fight invaders, clear debris and tend neural connections, but sometimes microglia go rogue. Preventing this malfunction may offer new treatments for brain conditions including Alzheimer's

We can’t stir ordinary solids, but one research team now claims to have stirred an extraordinary quantum “supersolid”, generating tiny vortices

Physicists have demonstrated a bizarre cooling effect by setting up a detector to record the absence of photons in a laser experiment

The networks of fibre optic cables that criss-cross the planet could be used to better understand what’s happening inside it

Ancient Egyptians may have relied on a vertical shaft that could be filled with water, along with a network of water channels and filtration structures, to build the Step Pyramid of Djoser 4500 years ago

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Sequence variation observed in populations of pathogens can be used for important public health and evolutionary genomic analyses, especially outbreak analysis and transmission reconstruction. Identifying this variation is typically achieved by aligning sequence reads to a reference genome, but this approach is susceptible to reference biases and requires careful filtering of called genotypes. There is a need for tools that can process this growing volume of bacterial genome data, providing rapid results, but that remain simple so they can be used without highly trained bioinformaticians, expensive data analysis, and long-term storage and processing of large files. Here we describe split k-mer analysis (SKA2), a method that supports both reference-free and reference-based mapping to quickly and accurately genotype populations of bacteria using sequencing reads or genome assemblies. SKA2 is highly accurate for closely related samples, and in outbreak simulations, we show superior variant recall compared with reference-based methods, with no false positives. SKA2 can also accurately map variants to a reference and be used with recombination detection methods to rapidly reconstruct vertical evolutionary history. SKA2 is many times faster than comparable methods and can be used to add new genomes to an existing call set, allowing sequential use without the need to reanalyze entire collections. With an inherent absence of reference bias, high accuracy, and a robust implementation, SKA2 has the potential to become the tool of choice for genotyping bacteria. SKA2 is implemented in Rust and is freely available as open-source software.

The COVID-19 pandemic has highlighted the critical role of genomic surveillance for guiding policy and control. Timeliness is key, but sequence alignment and phylogeny slow most surveillance techniques. Millions of SARS-CoV-2 genomes have been assembled. Phylogenetic methods are ill equipped to handle this sheer scale. We introduce a pangenomic measure that examines the information diversity of a k-mer library drawn from a country's complete set of clinical, pooled, or wastewater sequence. Quantifying diversity is central to ecology. Hill numbers, or the effective number of species in a sample, provide a simple metric for comparing species diversity across environments. The more diverse the sample, the higher the Hill number. We adopt this ecological approach and consider each k-mer an individual and each genome a transect in the pangenome of the species. Structured in this way, Hill numbers summarize the temporal trajectory of pandemic variants, collapsing each day's assemblies into genome equivalents. For pooled or wastewater sequence, we instead compare days using survey sequence divorced from individual infections. Across data from the UK, USA, and South Africa, we trace the ascendance of new variants of concern as they emerge in local populations well before these variants are named and added to phylogenetic databases. Using data from San Diego wastewater, we monitor these same population changes from raw, unassembled sequence. This history of emerging variants senses all available data as it is sequenced, intimating variant sweeps to dominance or declines to extinction at the leading edge of the COVID-19 pandemic.

Introduction:

High-quality primary care can reduce avoidable emergency department visits and emergency hospitalizations. The availability of electronic medical record (EMR) data and capacities for data storage and processing have created opportunities for predictive analytics. This systematic review examines studies which predict emergency department visits, hospitalizations, and mortality using EMR data from primary care.

BACKGROUND:Pulmonary function tests (PFTs) have historically used race-specific prediction equations. The recent American Thoracic Society guidelines recommend the use of a race-neutral approach in prediction equations. There are limited studies centering the opinions of practicing pulmonologists on the use of race in spirometry. Provider opinion will impact adoption of the new guideline. The aim of this study was to ascertain the beliefs of academic pulmonary and critical care providers regarding the use of race as a variable in spirometry prediction equations.METHODS:We report data from 151 open-ended responses from a voluntary, nationwide survey (distributed by the Association of Pulmonary Critical Care Medicine Program Directors) of academic pulmonary and critical care providers regarding the use of race in PFT prediction equations. Responses were coded using inductive and deductive methods, and a thematic content analysis was conducted.RESULTS:There was a balanced distribution of opinions among respondents supporting, opposing, or being unsure about the incorporation of race in spirometry prediction equations. Responses demonstrated a wide array of understanding related to the concept and definition of race and its relationship to physiology.CONCLUSIONS:There was no consensus among providers regarding the use of race in spirometry prediction equations. Concepts of race having biologic implications persist among pulmonary providers and will likely affect the uptake of the Global Lung Function Initiative per the American Thoracic Society guidelines.

SEquence Evaluation through k-mer Representation (SEEKR) is a method of sequence comparison that uses sequence substrings called k-mers to quantify the nonlinear similarity between nucleic acid species. We describe the development of new functions within SEEKR that enable end-users to estimate P-values that ascribe statistical significance to SEEKR-derived similarities, as well as visualize different aspects of k-mer similarity. We apply the new functions to identify chromatin-enriched lncRNAs that contain XIST-like sequence features, and we demonstrate the utility of applying SEEKR on lncRNA fragments to identify potential RNA-protein interaction domains. We also highlight ways in which SEEKR can be applied to augment studies of lncRNA conservation, and we outline the best practice of visualizing RNA-seq read density to evaluate support for lncRNA annotations before their in-depth study in cell types of interest.

Organic anion transporting polypeptide (OATP) 1B1 and OATP1B3 are important hepatic transporters. We previously identified OATP1B3 being critically implicated in the disposition of abiraterone. We aimed to further investigate the effects of abiraterone on the activities of OATP1B1 and OATP1B3 utilizing a validated endogenous biomarker coproporphyrin I (CP-I). We used OATP1B-transfected cells to characterize the inhibitory potential of abiraterone against OATP1B-mediated uptake of CP-I. Inhibition constant (K_i) was incorporated into our physiologically based pharmacokinetic (PBPK) modeling to simulate the systemic exposures of CP-I among cancer populations receiving either our model-informed 500 mg or clinically approved 1000 mg abiraterone acetate (AA) dosage. Simulated data were compared with clinical CP-I concentrations determined among our nine metastatic prostate cancer patients receiving 500 mg AA treatment. Abiraterone inhibited OATP1B3-mediated, but not OATP1B1-mediated, uptake of CP-I in vitro, with an estimated K_i of 3.93 μM. Baseline CP-I concentrations were simulated to be 0.81 ± 0.26 ng/ml and determined to be 0.72 ± 0.16 ng/ml among metastatic prostate cancer patients, both of which were higher than those observed for healthy subjects. PBPK simulations revealed an absence of OATP1B3-mediated interaction between abiraterone and CP-I. Our clinical observations confirmed that CP-I concentrations remained comparable to baseline levels up to 12 weeks post 500 mg AA treatment. Using CP-I as an endogenous biomarker, we identified the inhibition of abiraterone on OATP1B3 but not OATP1B1 in vitro, which was predicted and observed to be clinically insignificant. We concluded that the interaction risk between AA and substrates of OATP1Bs is low.

Exogenous substances, including drugs and chemicals, can transfer into human seminal fluid and influence male fertility and reproduction. In addition, substances relevant in the context of sports drug testing programs, can be transferred into the urine of a female athlete (after unprotected sexual intercourse) and trigger a so-called adverse analytical finding. Here, the question arises as to whether it is possible to distinguish analytically between intentional doping offenses and unintentional contamination of urine by seminal fluid. To this end, 480 seminal fluids from nonathletes were analyzed to identify concentration ranges and metabolite profiles of therapeutic drugs that are also classified as doping agents. Therefore, a screening procedure was developed using liquid chromatography connected to a triple quadrupole mass spectrometer, and suspect samples (i.e., samples indicating the presence of relevant compounds) were further subjected to liquid chromatography-high-resolution accurate mass (tandem) mass spectrometry. The screening method yielded 90 findings (including aromatase inhibitors, selective estrogen receptor modulators, diuretics, stimulants, glucocorticoids, beta-blockers, antidepressants, and the nonapproved proliferator-activated receptor delta agonist GW1516) in a total of 81 samples, with 91% of these suspected cases being verified by the confirmation method. In addition to the intact drug, phase-I and -II metabolites were also occasionally observed in the seminal fluid. This study demonstrated that various drugs including those categorized as doping agents partition into seminal fluid. Monitoring substances and metabolites may contribute to a better understanding of the distribution and metabolism of exogenous substances in seminal fluid that may be responsible for the impairment of male fertility.

Exercise significantly alters human physiological functions, such as increasing cardiac output and muscle blood flow and decreasing glomerular filtration rate (GFR) and liver blood flow, thereby altering the absorption, distribution, metabolism, and excretion of drugs. In this study, we aimed to establish a database of human physiological parameters during exercise and to construct equations for the relationship between changes in each physiological parameter and exercise intensity, including cardiac output, organ blood flow (e.g., muscle blood flow and kidney blood flow), oxygen uptake, plasma pH and GFR, etc. The polynomial equation P = a_iHRⁱ was used for illustrating the relationship between the physiological parameters (P) and heart rate (HR), which served as an index of exercise intensity. The pharmacokinetics of midazolam, quinidine, digoxin, and lidocaine during exercise were predicted by a whole-body physiologically based pharmacokinetic (WB-PBPK) model and the developed database of physiological parameters following administration to 100 virtual subjects. The WB-PBPK model simulation results showed that most of the observed plasma drug concentrations fell within the 5^th–95^th percentiles of the simulations, and the estimated peak concentrations (C_max) and area under the curve (AUC) of drugs were also within 0.5–2.0 folds of observations. Sensitivity analysis showed that exercise intensity, exercise duration, medication time, and alterations in physiological parameters significantly affected drug pharmacokinetics and the net effect depending on drug characteristics and exercise conditions. In conclusion, the pharmacokinetics of drugs during exercise could be quantitatively predicted using the developed WB-PBPK model and database of physiological parameters.

Early detection of drug-drug interactions (DDIs) can facilitate timely drug development decisions, prevent unnecessary restrictions on patient enrollment, resulting in clinical study populations that are not representative of the indicated study population, and allow for appropriate dose adjustments to ensure safety in clinical trials. All of these factors contribute to a streamlined drug approval process and enhanced patient safety. Here we describe a new approach for early prediction of the magnitude of change in exposure for cytochrome P450 (P450) CYP3A4-related DDIs of small-molecule anticancer drugs based on the model-based extrapolation of human-CYP3A4-transgenic mice pharmacokinetics to humans. Victim drugs brigatinib and lorlatinib were evaluated with the new approach in combination with the perpetrator drugs itraconazole and rifampicin. Predictions of the magnitude of change in exposure deviated at most 0.99- to 1.31-fold from clinical trial results for inhibition with itraconazole, whereas exposure predictions for the induction with rifampicin were less accurate, with deviations of 0.22- to 0.48-fold. Results for the early prediction of DDIs and their clinical impact appear promising for CYP3A4 inhibition, but validation with more victim and perpetrator drugs is essential to evaluate the performance of the new method.

Drug–drug interaction (DDI) assessment of therapeutic peptides is an evolving area. The industry generally follows DDI guidelines for small molecules, but the translation of data generated with commonly used in vitro systems to in vivo is sparse. In the current study, we investigated the ability of advanced human hepatocyte in vitro systems, namely HepatoPac, spheroids, and Liver-on-a-chip, to assess potential changes in regulation of CYP1A2, CYP2B6, CYP3A4, SLCO1B1, and ABCC2 in the presence of selected therapeutic peptides, proteins, and small molecules. The peptide NN1177, a glucagon and GLP-1 receptor co-agonist, did not suppress mRNA expression or activity of CYP1A2, CYP2B6, and CYP3A4 in HepatoPac, spheroids, or Liver-on-a-chip; these findings were in contrast to the data obtained in sandwich cultured hepatocytes. No effect of NN1177 on SLCO1B1 and ABCC2 mRNA was observed in any of the complex systems. The induction magnitude differed across the systems (e.g., rifampicin induction of CYP3A4 mRNA ranged from 2.8-fold in spheroids to 81.2-fold in Liver-on-a-chip). Small molecules, obeticholic acid and abemaciclib, showed varying responses in HepatoPac, spheroids, and Liver-on-a-chip, indicating a need for EC₅₀ determinations to fully assess translatability data. HepatoPac, the most extensively investigated in this study (3 donors), showed high potential to investigate DDIs associated with CYP regulation by therapeutic peptides. Spheroids and Liver-on-a-chip were only assessed in one hepatocyte donor and further evaluations are required to confirm their potential. This study establishes an excellent foundation toward the establishment of more clinically-relevant in vitro tools for evaluation of potential DDIs with therapeutic peptides.

ABSTRACTIntroduction:Since the health information system (HIS) in public health care services in Serbia was introduced in 2009, it has gradually expanded. However, it is unclear how well the HIS components have developed and the whole system’s stage of maturity.Method:In June–September 2021, a maturity assessment of the Serbian HIS was conducted for the first time using the HIS Stages of Continuous Improvement (SOCI) toolkit. The toolkit measures HIS status across 5 HIS domains: leadership and governance, management and workforce, information and communication technology (ICT), standards and interoperability, and data quality and use. The domains were further divided into 13 components and 39 subcomponents whose maturity stage was assessed on a 5-point Likert scale, indicating the level of development: (1) emerging/ad hoc; (2) repeatable; (3) defined; (4) managed; and (5) optimized. The toolkit was applied in a working group of 32 professionals and experts who were engaged in developing the new national eHealth strategy and action plan.Results:The overall maturity score of the Serbian HIS was 1.6, which indicates a low level. The highest baseline score (2) was given to the standards and interoperability domain, and the lowest (1.1) was given to ICT infrastructure. The remaining 3 domains (leadership and governance, Management and Workforce, and Data Quality and Use) were similarly rated (1.7, 1.7, and 1.6, respectively).Conclusion:A baseline assessment of the maturity level of Serbian HIS indicates that the majority of components are between the emerging/ad hoc stage and repeatable, which represent isolated, ad hoc efforts, with some basic processes in place and existing and accessible policies. This exercise provided an opportunity to address identified weaknesses in the upcoming national eHealth strategy.

ABSTRACTIntroduction: Nigeria has the highest number of children who have not received any vaccines in Africa. The training-of-trainers (TOT) model used to train program managers (PMs) and health care workers (HCWs) is ineffective for adult learning and limits immunization programs’ success. We incorporated adult learning principles (ALPs) in designing and delivering TOT for immunization PMs and HCWs to use data to engage communities for tailored immunization strategies.Methods: Our study was implemented in 3 local government areas (LGAs) of the Federal Capital Territory, Nigeria. A training curriculum was developed, integrating ALPs and technical and operational content based on best practices in delivering immunization training and the training needs assessment findings. State PMs (n=10), LGA PMs (n=30), and HCWs (n=42) were trained on the human-centered design for tailoring immunization programs (HCD-TIP) approaches using ALPs. We used interviews and surveys with purposively and conveniently sampled PMs and HCWs, respectively, and observations to assess participants’ satisfaction, knowledge and competence, behavior changes, and results. The interviews were analyzed thematically, and surveys were statistically.Results: There was a high level of satisfaction with the training among LGA PMs (100%), state PMs (91%), and HCWs (85%), with significant knowledge and competence improvements post-training (P<.001). The trained participants conducted 2 HCD sessions with 24 undervaccinated communities and co-designed 24 prototype solutions for testing. Results showed increased coverage of the pentavalent vaccine first dose (54%) and third dose (188%) across 12 participating communities. Improved community colaboration, communication skills, and data-driven approaches were the most cited behavior changes in practice.Conclusion: The application of ALPs in training, use of HCD-TIP approaches and tools, and supportive supervision enhanced PMs’ and HCWs’ capacity for tailored interventions. Countries should consider adopting a holistic approach that focuses on using these approaches in immunization programs to strengthen the health system for equitable vaccine coverage.