High Occupancy Research Articles

Type and physical intensity of occupations at pulmonary TB diagnosis.

Pulmonary TB (PTB) predominantly affects individuals of working age. We sought to characterise the occupations of people newly diagnosed with PTB in Karachi, Pakistan, by type and physical intensity. We did a secondary analysis of data from a study evaluating the diagnostic accuracy of artificial intelligence-based chest X-ray (CXR) analysis software, where individuals had been evaluated for active PTB using sputum cultures and had provided information on occupation. We used an accelerometer-validated US National Health and Nutrition Examination Survey-based job categorisation to assign physical activity levels to participant-reported occupations as High, Intermediate, or Low. Among 272 participants with microbiologically confirmed PTB (women: 130/272, 48%; median age: 29 years, IQR 22-45), 78% (211/272) had smear-positive disease, and 96% (260/272) had data on occupation. Unemployment was common (women: 70/122, 57%; men: 23/138, 17%). Most women reporting an occupation were homemakers (21/52, 40%), and 54% (28/52) had an intermediate- or a high physical activity occupation. Among men reporting an occupation, 35% (40/115) were labourers, and 79% (91/115) had an intermediate- or high-physical activity occupation. The majority of individuals with PTB were in their working age, had extensive disease, and had intermediate or high physical activity occupations, suggesting economic vulnerability due to physical impairment.

Study of Ventilation Strategies in a Passenger Aircraft Cabin Using Numerical Simulation

Aircraft cabins have high occupant densities and may introduce the risk of COVID-19 contamination. In this study, a segment of a Boeing 767 aircraft cabin with a mixing type of air distribution system was investigated for COVID-19 deposition. A section of a Boeing 737-300 cabin, featuring four rows with 28 box-shaped mannequins, was used for simulation. Conditioned air entered through ceiling inlets and exited near the floor, simulating a mixed air distribution system. Cough droplets were modeled using the Discrete Phase Model from two locations: the centre seat in the second row and the window seat in the fourth row. These droplets had a mean diameter of 90 µm, an exhalation velocity of 11.5 m/s and a flow rate of 8.5 L/s. A high-quality polyhedral mesh of about 7.5 million elements was created, with a skewness of 0.65 and an orthogonality of 0.3. The SIMPLE algorithm and a second-order upwind finite volume method were used to model airflow and droplet dynamics. It was found that the ceiling accounted for the maximum concentration followed by the seats. The concentration of deposits was almost 50% more when the source was at window as compared to the centre seat. The Covid particles resided for longer duration when the source was at the centre of the cabin than when it was located near the widow.

Pyrochlore-Supergroup Minerals and Their Relation to Columbite-Group Minerals in Peralkaline to Subaluminous A-Type Rare-Metal Granites with Special Emphasis on the Madeira Pluton, Amazonas, Brazil

Niobium (Nb) and tantalum (Ta) are quoted as “strategic” or “critical” elements for contemporaneous society. The main sources of Nb and Ta are minerals of the pyrochlore supergroup (PSGM) and the columbite group (CGM) mined from different magmatic lithologies. Textures and chemical compositions of PSGM and CGM often provide key information about the origin of NbTa mineralization. Therefore, we decided to carry out a detailed study of the relations between the PSGM and CGM and their post-magmatic transformations, and the Madeira peralkaline pluton (Brazil) is an ideal object for such a study. Textures of the PSGM and CGM were studied using BSE imaging and SEM mapping, and their chemical compositions were determined using 325 electron microprobe analyses. Pyrochlore from the Madeira granite can be chemically characterized as Na, Ca-poor, U- and Pb-dominant, and Sn- and Zn-enriched; REE are enriched only during alteration. Two stages of alteration are present: (i) introduction of Fe + Mn, with the majority of them consumed by columbitization; (ii) introduction of Si and Fe, and in lesser amounts also Pb and U: Si, Pb, and U incorporated into pyrochlore, iron forming Fe-oxide halos around pyrochlore. During both stages, F and Na decreased. In the case of a (nearly) complete pyrochlore columbitization, U and Th were exsolved to form inclusions of a thorite/coffinite-like phase. In contrast to altered pyrochlores from other localities, pyrochlore from Madeira shows a relatively high occupancy of the A-site. Although Madeira melt was Na-, F-rich, contemporaneous crystallization of cryolite consumed both elements and pyrochlore was, from the beginning, relatively Na-, F-poor.

A hierarchical set-enumeration tree enabling high occupancy item set mining and the use of an adaptive occupancy threshold

A hierarchical set-enumeration tree enabling high occupancy item set mining and the use of an adaptive occupancy threshold

Restorative Justice In The Enforcement Of Narcotics Crimes In The Jurisdiction Of The Badung Police

This study was made with the aim of determining the application of restorative justice for narcotics crimes under the jurisdiction of the Badung Police. Restorative justice is sought so that in the criminal act of narcotics addicts can be optimally recovered, in addition to the high prison occupancy, making law enforcement ineffective for narcotics offenders. The problem raised is how effective is the implementation of restorative justice in the act of narcotics financiers in the jurisdiction of the Badung Police? This journal uses empirical research, a legal research approach, primary data sources and data collection techniques using interviews and documents. The results of this study use to measure the effectiveness of this law using 5 factors used, this indicates that Perkap No. 8 of 2021 is still not optimal in handling narcotics crimes in terms of law enforcement factors, sociology of society and legal culture that make it not optimal in implementation.

Efficient generation of Fe(IV) = O for water purification in periodate activation process: Reducing Fe orbital occupation and expanding electron transfer channel

The rapid generation of high-valent iron species (Fe(IV) = O) in AOPs has become a challenge for the removal of organic pollutants due to the high electron occupancy in the Fe 3d orbitals and low electron transfer efficiency. Herein, BN modified CuFe2O4 catalysts were constructed by in situ growth of CuFe2O4 nanoparticles on ultrathin BN nanosheets for periodate (PI) catalysis. Especially, the formed Fe-N interface sites not only reduce the electron occupation in the Fe 3d orbitals, but also expand the electronic transfer pathway, thus transforming the oxidation mechanism from one electron process to two electron process for facilitating the Fe(IV) = O and 1O2 generation in the CuFe2O4/BN/PI system. The bimetallic redox cycle between Fe and Cu realizes the accelerated conversion of Fe(III) to Fe(II), promoting the continuous and fast conversion of Fe(II) to Fe(IV) = O via two electron process. As a result, the developed CuFe2O4/BN/PI system exhibits excellent degradation efficiency for oxytetracycline (OTC), achieving 91.02 % OTC removal within 60 min, and maintains relatively high remove efficiency even under different water quality conditions. This research provides a new insight into the evolution of Fe(IV) = O and the deep mechanism of PI activation.

Deep learning models for vision-based occupancy detection in high occupancy buildings

Accurate occupancy information is crucial for enhancing energy efficiency and reducing carbon emissions in buildings. However, the inherent unpredictability of occupants introduces uncertainties in energy analysis and control strategy development. To address these challenges, this study proposes a vision-based method employing state-of-the-art deep learning models to capture real-time occupancy profiles in crowded indoor spaces. Utilising a self-collected image dataset, various deep learning models, including Single Shot MultiBox Detector (SSD), Faster Region-based Convolutional Neural Networks (Faster R-CNN), and different versions of You Only Look Once (YOLO) were trained and evaluated. An experiment was conducted in a lecture room equipped with cameras and environmental sensors to evaluate the performance of each model in terms of precision, computational efficiency, and adaptability to varying occupancy levels during a lecture session. The session included varying occupancy conditions: entering (barely occupied), during the lecture (typical occupancy), and leaving the room (again barely occupied). Among the models tested, YOLOv8x exhibited the best performance in terms of accuracy, while SSD lagged notably. The impact on the detection performance of various locations of camera setups was also explored. Energy simulations revealed that deep learning-based model generated occupancy profiles significantly deviated from conventional “fixed” occupancy profiles, resulting in a 13.45 % variation in predicted heating energy demand. However, compared to the ground truth, these profiles showed minimal variation (up to 6.72 %) for the Faster R-CNN and YOLO models, highlighting their accuracy and robustness. Additionally, although the deep learning-based occupancy profiles generally overpredicted the recorded data, the CO2 concentration trends they predicted aligned closely with the recorded data, unlike the “fixed” occupancy profiles. The findings underscore the importance of realistic occupancy profiles for reliable energy predictions in buildings and demonstrate the potential of the proposed vision-based method for advancing occupancy detection and building energy management.

Chinese students’ willingness to study abroad: The personal and familial influencing factors

Background: Studying abroad is no longer a new phenomenon. The popularity of Chinese students studying abroad is well known and the enthusiasm for studying abroad among students has been consistently strong for many years, especially with the continuous development of the Chinese economy. Aims: This paper will examine personal and family factors which influence the willingness to study abroad among Chinese university students. The application of these influencing factors can potentially have an impact in the formulation of government-related policies, the establishment and development of study abroad agencies, and the decision process among students when choosing to study abroad. Methods: The current study utilized a self-report approach to examine the potential impact of several personal and family factors on the willingness to study abroad. Results: Utilizing multivariate analysis and statistical analysis modeling, it was found that willingness to study abroad is greatest among female students with moderate to high grades, who are from urban areas and non-agricultural households, with fathers in high status occupations, mothers with higher levels of education, and higher family income. These factors embody the intergenerational transmission of benefits associated with family capital.

Progressing a river health assessment framework to tropical waters

Diverse anthropogenic activities have threatened the valuable tropical biodiversity and freshwater reserves. Despite that, there is little concern in the Brazilian legislation about the ecological integrity of aquatic ecosystems. We proposed a framework based on two joint indices, allowing the creation of a management tool. The first is the Tropical Water Healthy Index (TWHI), a river index that integrates pressures on aquatic ecosystems, their conditions, and societal/governmental response. The second is the Suitability of the Class of Use (SCU), which measures whether rivers’ conditions are in accordance with their classes of use proposed for the legal Brazilian water framework. Our results showed that most sites had good river health conditions, with the worst conditions occurring in areas with high urban occupations followed by agricultural areas. The second index indicated that few streams were poorly or incompatible with their classes of use, suggesting their classifications were based on current conditions but not future intentions. The force of these joint analyses was shown in the Melchior River stretch, which was classified as compatible with SCU, but the TWHI was critical. This is good to show that we simultaneously have a problem with the legislation and to indicate something that needs to be done quickly for managers. Therefore, we built a management model that can assess the real situation of aquatic ecosystems and define efficient management strategies, producing alerts for the decision-maker.

Wheat Topoisomerase VI Positively Regulates the Biosynthesis of Cuticular Wax and Cutin.

Lipophilic cuticles mainly composed of wax mixtures and cutin matrices seal the plant epidermis and control plant development and environmental adaptation. Although cuticle-associated traits have been selected in the breeding of agronomically important cereal bread wheat, the biosynthesis of wheat cuticular wax and cutin remains poorly understood. Herein, wheat topoisomerase VI was characterized as an essential activator of cuticular wax and cutin biosynthesis. Knock-down of wheat TaTOP6A, TaTOP6B, TaRHL1, or TaBIN4 gene encoding component of topoisomerase VI resulted in decreased loads of leaf cuticular wax and cutin, as well as increased leaf cuticle permeability. Moreover, TaCYP86A2 was identified as a key component of the wheat cutin biosynthetic machinery. Reduction of wheat TaCYP86A2 expression led to decreased cutin accumulation and enhanced cuticle permeability. In addition, TaTOP6A, TaTOP6B, TaRHL1, or TaBIN4 was shown to enrich at the promoter regions of the wax biosynthesis gene TaKCS1 and the cutin biosynthesis gene TaCYP86A2. Importantly, chromatin at TaKCS1 and TaCYP86A2 promoters is marked by high nucleosome occupancy and low histone acetylation in TaTOP6A-, TaTOP6B-, TaRHL1-, or TaBIN4-silenced wheat leaves. These results collectively support that wheat topoisomerase VI positively regulates the biosynthesis of cuticular wax and cutin probably via maintaining a permissive chromatin state at TaKCS1 and TaCYP86A2 genes.

Development of a MAPS-based upstream tracker for the LHCb upgrade II

The LHCb Upstream Tracker is a silicon strip tracking detector that started operation in the Run 3 of the LHC. To meet the requirements imposed by high occupancy and data rate at the HL-LHC, a new Upstream Pixel (UP) tracker is proposed for LHCb Upgrade II based on CMOS pixel sensors. A preliminary detector layout is presented. The design of a sensor in a 55 nm high-voltage CMOS technology is introduced and further development is in process. Performance studies of UP with simulation are also ongoing.

Impact of COVID-19 on Airbnb occupancy rate in Bandung, Indonesia

The emergence of sharing economy, especially accommodation platform has enable people to rent and capitalize on their private properties by renting to others. However, with the covid-19 pandemic and proximity to first-tier city it is crucial to examine how these sharing accommodation properties survives.The paper investigates how urban neighbourhoods, Airbnb characteristics and urban mobility restrictions determine rental occupancy rates in Bandung, a second-tier city, during the COVID-19 pandemic. This paper examines; (i) the dynamics of determinant factors of occupancy rates before and after the pandemic and (ii) the impact of mobility and spatial proximity to first-tier city on sharing accommodations’ occupancy rates. This study uses econometric and spatial analysis with more than 2200 Airbnb property listings registered between 2016 and 2020 in Bandung city.Our study found a shift of preferences in a more urban direction and electronic word-of-mouth (eWOM) variables continuing with a slight decline in the pandemic. Comparison between before and during the pandemic suggests the persistent of high occupancy rate concentration only in in private listings, and located near to tourist attractions and a variety of amenities. Our finding calls for urban policies that limits the geographical distribution of short-term rental (STR) properties to avoid wider gentrification, safety risks, and pressure to the local housing supply.

Joint deployment of exclusive bus lanes and limited access bus lanes in a transportation network

Providing exclusive right-of-way to buses is considered an effective measure to enhance the transit system’s performance. However, the conversion of a General-Purpose Lane (GPL), which is shared by all transportation modes, to an Exclusive Bus Lane (EBL), reduces the available capacity for auto users and may result in an underutilized lane known as the empty syndrome lane. To address this deficiency, it is suggested that a special class of vehicles, such as High Occupancy Vehicles (HOVs) be permitted to drive in EBLs, but they may be required to pay tolls. This type of lane is called a Limited Access Bus Lane (LABL) and is designed to prioritize public transportation and restrict the entry of HOVs in bus lanes. The goal is to ensure transit passengers do not experience a decrease in the quality of service. This paper compares the results of four bi-level optimization models used to determine the optimal location of different combinations of special-use lanes in the network, namely: 1) only EBLs; 2) joint deployment of EBLs and HOV lanes; 3) joint deployment of EBLs and tolled HOV lanes; and 4) joint deployment of EBLs and LABLs. A base optimization problem is developed for the last proposed scheme (i.e., joint deployment of EBLs and LABLs), and the formulation is modified to solve three other network design problems. The proposed model is solved by applying a genetic algorithm. To analyze the suggested framework, a numerical test is conducted on the Sioux Falls network as a medium-sized network and the network of Zanjan as a real-sized network. Furthermore, by analyzing the numerical results of the four optimization problems, this study highlights that the joint deployment of EBLs and LABLs outperforms the other three schemes in terms of transit users’ travel time and the average volume capacity of bus routes.

CFD Evaluation of Respiratory Particle Dispersion and Associated Infection Risk in a Coach Bus with Different Ventilation Configurations

The COVID-19 pandemic has underscored the urgency of understanding virus transmission dynamics, particularly in indoor environments characterized by high occupancy and suboptimal ventilation systems. Airborne transmission, recognized by the World Health Organization (WHO), poses a significant risk, influenced by various factors, including contact duration, individual susceptibility, and environmental conditions. Respiratory particles play a pivotal role in viral spread, remaining suspended in the air for varying durations and distances. Experimental studies provide insights into particle dispersion characteristics, especially in indoor environments where ventilation systems may be inadequate. However, experimental challenges necessitate complementary numerical modeling approaches. Zero-dimensional models offer simplified estimations but lack spatial and temporal resolution, whereas Computational Fluid Dynamics, particularly with the Discrete Phase Model, overcomes these limitations by simulating airflow and particle dispersion comprehensively. This paper employs CFD-DPM to simulate airflow and particle dispersion in a coach bus, offering insights into virus transmission dynamics. This study evaluates the COVID-19 risk of infection for vulnerable individuals sharing space with an infected passenger and investigates the efficacy of personal ventilation in reducing infection risk. Indeed, the CFD simulations revealed the crucial role of ventilation systems in reducing COVID-19 transmission risk within coach buses: increasing clean airflow rate and implementing personal ventilation significantly decreased particle concentration. Overall, infection risk was negligible for scenarios involving only breathing but significant for prolonged exposure to a speaking infected individual. The findings contribute to understanding infection risk in public transportation, emphasizing the need for optimal ventilation strategies to ensure passenger safety and mitigate virus transmission.

Spinal Injuries and Spine Care in the US Military Health System (2001-Present).

Literature Review. The goal of this study was to provide a comprehensive outline of spinal injuries that may transpire over the course of military service from traumatic to repetitive stress injuries and chronic sequalae. We considered studies that assessed spinal injuries in the combat and non-combat settings as reported in the literature over the last 15-20 years. Military service places servicemembers under substantial physical demands, while also exposing them to dangerous, unpredictable environments. As a result, servicemembers are at an increased risk of spinal injuries from combat-related trauma and other causes. They may have different care needs and recovery profiles when compared to civilians with spinal disorders. We performed a review of the available literature on spinal injuries and spinal care in the Military Health System from 2001-present. The studies discussed in this review were primarily focused on the conflicts in both Iraq and Afghanistan from over ten years ago and do not fully capture the present-day advancements in military technology that may have an impact on the potential for spinal injuries. The long-term effects of sustained military service and the relative influence of high demand versus sedentary military occupations on the development of spinal disorders remains poorly understood. Given the changing nature of military service, both with respect to the demographic in uniform and the ever-evolving nature of modern combat, we believe that only a long-term prospective observational study dedicated to the surveillance of spinal problems could effectively answer these questions. Further research into the present-day characterization of spinal injuries is warranted given the advancements in both military technology and spine care that have occurred over the last ten years.

Developing a monitoring protocol for a threatened species in a developing country: Lessons learned from monitoring the Togean Islands babirusa

Monitoring is a critical step in evaluating the efficacy of conservation measures, and having an effective monitoring protocol can serve as a warning system for population decline. We performed a power analysis to develop a camera trap-based monitoring protocol to detect occupancy changes of the endangered Togean Islands babirusa (Babyrousa togeanensis) as a case study for a threatened species in a developing country. We divided our study sites, representing the entire distribution range of the species, into three areas following the species occupancy probability: high (0.8–1), medium (0.4–0.8), and low occupancy (0–0.4), and estimated the required sampling efforts to detect declines in occupancy in each area. Under a realistic sampling scenario (i.e., maximum 135 camera stations), our protocol is able to detect a ≥ 20 % occupancy decline in high occupancy areas and a ≥ 40 % decline in medium occupancy areas. The low occupancy area requires unrealistic sampling efforts to monitor changes in occupancy. We provide budgeting estimations for monitoring scenarios that are achievable in developing countries, as well as strategies to allocate limited funding. Furthermore, we derived some lessons from our study as guidelines for practitioners to develop and implement a cost-effective monitoring protocol for threatened species in developing countries, particularly by considering the species traits, management boundaries, priority areas, and budget constraints.

BATS: Bat‐aggregated time series—A python‐based toolkit for landscape‐level monitoring of free‐tailed bats via weather radar

Abstract The US operates a system of 160 S‐band Doppler weather radars known as NEXRAD (NEXt generation weather RADar) that continuously monitors the airspace around the majority of the United States and outlying territories. These radars detect and track birds, insects, and bats. Free‐tailed bats (Genus Tadarida) provide considerable ecosystem services through their voracious insect consumption; but their movements and ecosystem service provision have historically been difficult to track/study in space and time. We introduce ‘BATS’, a Python toolkit that streamlines the process of downloading, classifying, and aggregating time series of free‐tailed bats across large landscapes. BATS retrieves data from NOAA's weather radar data repositories and classifies the processed radar data using a pre‐trained ML trained to detect and classify radar echoes associated with free‐tailed bats. We trained various machine learning approaches at classifying pixels containing free‐tailed bats and compared the effectiveness across approaches. With an AUC of 0.963, the neural network approach is highly effective in identifying free‐tailed bats in NEXRAD data over our study sites in California and Texas. Furthermore, BATS is capable of quickly distilling 6 months of radar data from a single tower (3.5 Tb) into a single 15 Mb‐sized map of bat occurrence, contingent on available computing resources. BATS will help scientists and stakeholders identify areas of high bat occupancy at the landscape level over long periods of time. This ability has the potential to increase our understanding of the economic and agricultural value of these species.

Waterless structures in the Protein Data Bank.

The absence of solvent molecules in high-resolution protein crystal structure models deposited in the Protein Data Bank (PDB) contradicts the fact that, for proteins crystallized from aqueous media, water molecules are always expected to bind to the protein surface, as well as to some sites in the protein interior. An analysis of the contents of the PDB indicated that the expected ratio of the number of water molecules to the number of amino-acid residues exceeds 1.5 inatomic resolution structures, decreasing to 0.25 at around 2.5 Å resolution. Nevertheless, almost 800 protein crystal structures determined at a resolution of 2.5 Å or higher are found in the current release of the PDB without any water molecules, whereas some other depositions have unusually low or high occupancies of modeled solvent. Detailed analysis of these depositions revealed that the lack of solvent molecules might be an indication of problems with either the diffraction data, the refinement protocol, the deposition process or a combination of these factors. It is postulated that problems with solvent structure should be flagged by the PDB and addressed by the depositors.

An international comparison of Long-term Care Facility outcomes during the COVID-19 pandemic

Abstract Background The COVID-19 pandemic has had huge repercussions for public health internationally and different countries had different outcomes based on preconceived policy interventions. Lessons influencing future policy have been learned, notably how best to manage vulnerable populations, particularly those living in long-term care facilities (LTCFs). In Ireland LTCF residents accounted for 56% of deaths during the first wave of the pandemic and it is imperative to establish the causes of this. International research has highlighted how factors including county incidence rate, facility size, occupancy, LTCF ownership and compliance with health inspection regulations influenced LTCF COVID-19 outcomes. The aim of this research is to explore the impact of these factors in an Irish context and compare to best international standards. Methods The main outcome considered was deaths per 100 beds. Data on crude mortality were available for 580 Irish LTCFs up to 28 May 2020. Data regarding occupancy, ownership, facility size and compliance with regulations were obtained for these LTCFs from a novel dataset of 1130 available LTCF regulatory inspection reports between 2018- 2022. Regression analysis was carried out to show how LTCF mortality was predicted by examined variables. Results The most significant predictor of deaths from COVID-19 in Irish LTCFs resulting from this research was LTCF occupancy (Odds ratio:1.029, significance <0.001). Regional community incidence, in concordance with international literature was also an important factor. Other stated predictors in this model were either non-significant or only marginally significant. These results are analysed in conversation with international research of the same variables. Conclusions To protect LTCF residents for potential future pandemics, attention should be paid to monitoring and suppressing local incidence rates and moves should be implemented towards designing smaller facilities with individual rooms for vulnerable residents. Key messages • Irish long-term care pandemic mortality was predicted by high occupancy of facilities and high regional COVID-19 incidence. • Comparing International COVID-19 outcomes in long-term care facilities can provide guidelines for the future.

Binding profiles for 961 Drosophila and C. elegans transcription factors reveal tissue-specific regulatory relationships.

A catalog of transcription factor (TF) binding sites in the genome is critical for deciphering regulatory relationships. Here, we present the culmination of the efforts of the modENCODE (model organism Encyclopedia of DNA Elements) and modERN (model organism Encyclopedia of Regulatory Networks) consortia to systematically assay TF binding events in vivo in two major model organisms, Drosophila melanogaster (fly) and Caenorhabditis elegans (worm). These data sets comprise 605 TFs identifying 3.6 M sites in the fly and 356 TFs identifying 0.9 M sites in the worm, and represent the majority of the regulatory space in each genome. We demonstrate that TFs associate with chromatin in clusters termed "metapeaks," that larger metapeaks have characteristics of high-occupancy target (HOT) regions, and that the importance of consensus sequence motifs bound by TFs depends on metapeak size and complexity. Combining ChIP-seq data with single-cell RNA-seq data in a machine-learning model identifies TFs with a prominent role in promoting target gene expression in specific cell types, even differentiating between parent-daughter cells during embryogenesis. These data are a rich resource for the community that should fuel and guide future investigations into TF function. To facilitate data accessibility and utility, all strains expressing green fluorescent protein (GFP)-tagged TFs are available at the stock centers for each organism. The chromatin immunoprecipitation sequencing data are available through the ENCODE Data Coordinating Center, GEO, and through a direct interface that provides rapid access to processed data sets and summary analyses, as well as widgets to probe the cell-type-specific TF-target relationships.