The FIO program encompasses a wide range of interactions between the Boston Police Department (BPD) and private individuals. By releasing the records of these interactions, BPD hopes to add transparency to the execution of the program while still protecting the privacy of the individuals involved. These records are now sourced from three different record management systems titled: (OLD RMS) (NEW RMS) and (MARK43). The differences between the resulting files are described below.

About the FIO Records (Mark43) Files (Sept 29 2023 - Dec 31 2024)

These records are compiled from the BPD’s new Records Management System (RMS) on the BPD's FIO program. MARK43 went live September 29, 2019 and the FIO information has been structured into two separate tables. These tables are the same titles as (NEW RMS) but include new or different data points as retrieved from MARK43.

• FieldContact, which lists each contact between BPD and one or more individuals
• FieldContact_Name, which lists each individual involved in these contacts.

A FIO Data Key has also been created and posted to help distinguish the data categories (Data Key (Mark43)).

Lastly, FIOs are maintained in a live database and information related to each individual may change overtime. The data provided here should be considered a static representation of the Field Interaction and/or Observation that occurred in 2019.

NULL indicates no entry was made for an optional field.

About the FIO Records 2015 (New RMS) and 2016, 2017, 2018, 2019, and 2020 (Jan 1 - Sept 29 2020) Files

These records are compiled from the BPD’s new Records Management System (RMS) on the BPD's FIO program. The new RMS, which went live in June, 2015, structures the FIO information into two separate tables:

• FieldContact, which lists each contact between BPD and one or more individuals
• FieldContact_Name, which lists each individual involved in these contacts

While these two tables align on the field contact number (fc_num) column, it is not methodologically correct to join the two datasets for the purpose of generating aggregate statistics on columns from the FieldContact table. Doing so would lead to incorrect estimates stemming from contacts with multiple individuals. As noted in the Data Key (New RMS) file, several of the columns in the FieldContact table apply to the contact as a whole, but may not necessarily apply to each individual involved in the contact. These include:

• frisked
• searchperson
• summonsissued
• circumstances
• basis
• contact_reason

For example, the frisked column contains a value of Y if any of the individuals involved in a contact were frisked, but it would be inaccurate to assume that all individuals were frisked during that contact. As such, extrapolating from the frisked column for a contact to each individual and then summing across them would give an artificially high estimate of the number of people frisked in total. Likewise, the summonsissued column indicates when someone involved in a contact was issued a summons, but this does not imply that everyone involved in a contact was issued a summons.

For a detailed listing of columns in each table, see both tables of the Data Key (New RMS) file below.

About the FIO Records 2011 - 2015 (Old RMS) File

These records are sourced from BPD's older RMS, which was retired in June, 2015. This system (which stored all records in a single table, rather than the two tables in the newer system) captures similar information to the new RMS, but users should note that the fields are not identical and exercise care when comparing or combining records from each system.

Additional Notes

• The data provided is FIO information entered into the new system from June, 2015 through December, 2016, which includes some interactions which occurred before June, 2015 which were entered after the transition from the old system. For comprehensive analyses of interactions prior to the introduction of the new RMS, users will need to include data on interactions prior to June, 2015 from the 2015 (New RMS) file.
• These files are extracted from live databases which may have records added or updated at any time. As such, the number and content of records shared here may differ slightly from versions used to produce analyses such as those linked below, due to subsequent revisions to the underlying database records.
• A contact can consist of an observation of a vehicle, without direct contact with a person. This would create a record where no person-level details are recorded.

For more information on the FIO Program, please visit:

Boston Police Commissioner Announces Field Interrogation and Observation (FIO) Study Results

Commissioner Evans Continues Efforts to Increase Transparency and Accountability of Policing Activities to the Public

Boston Police Department Releases Latest Field Interrogation Observation Data

Data for D. A. Long, B. J. Reschovsky, F. Zhou, Y. Bao, T. W. LeBrun, and J. J. Gorman, "Electro-optic frequency combs for rapid interrogation in cavity optomechanics," Optics Letters Vol. 46, Issue 3, pp. 645-648 (2021), https://doi.org/10.1364/OL.405299

Genomics is narrowing uncertainty in the phylogenetic structure for many amniote groups. For one of the most diverse and species-rich groups, the squamate reptiles (lizards and snakes, amphisbaenians), an inverse correlation between the number of taxa and loci sampled still persists across all publications using DNA sequence data and reaching a consensus on the relationships among them has been highly problematic. Here, we use high-throughput sequence data from 289 samples covering 75 families of squamates to address phylogenetic affinities, estimate divergence times, and characterize residual topological uncertainty in the presence of genome scale data. Importantly, we address genomic support for the traditional taxonomic groupings Scleroglossa and Macrostomata using novel machine-learning techniques. We interrogate genes using various metrics inherent to these loci, including parsimony-informative sites, phylogenetic informativeness, length, gaps, number of substitutions, and site con...

Abstract This paper analyzes questions and answers - a type of sequence that is constitutive of police interrogations. By means of Multimodal Conversation Analysis, it investigates how the safeguarding of information concerning crimes unfolds in police interrogations. A fine-grained sequential and multimodal analysis of the audio and/or video recorded interrogations reveals that the safeguarding of information is accomplished not only by the interrogated suspects in their responsive actions, but also ensued by the police officers by means of their question design. Interrogated suspects safeguard facts about crimes by resisting in providing the information requested in responsive turns that do not answer but that instead claim lack of knowledge, remembrance or awareness. Police officers, on the other hand, afford and initiate suspects’ information safeguarding by designing questions with verbs as to know and to remember. Such question design vouchsafes suspects to negate knowledge and remembrance of the requested information while aligning with the preference of the question format and presenting no resistance.

In two experiments, we tested the hypothesis that guilt feelings would elevate the probability of making a false confession. In Experiment 1 (N = 146), a confederate induced guilt feelings by asking participants to cheat on a task. The experimenter then falsely accused participants of having pressed a forbidden key, causing a computer crash. In Experiment 2 (N = 108), a confederate was punished every time participants could not answer a quiz question. The confederate later cheated in a game and asked participants to take the blame. In Experiment 1, 100 participants (68.5%) falsely confessed to pressing the key. In Experiment 2, 39 participants (36.1%) falsely confessed to cheating. Guilt manipulations had no effect on false confession rates. When exploring the effect of guilt feelings, five of eight tests were statistically non-significant. As yet, there is insufficient evidence to argue that guilt feelings are a major determinant of false confessions.

We replaced the endogenous histones of Drosophila melanogaster with histones containing an H3K9R mutation to interrogate the role of H3K9 in heterochromatin formation and function. We queried heterochromatin formation through Formaldhyde Assisted Isolation of Regulatory Elements coupled with sequencing to examine nucleosome occupancy and Heterochromatin Protein 1a ChIP sequencing to determine the localization of the major reader of H3K9me. We found that regions of pericentromeric heterochromatin exhibit decreased HP1a and nucleosome occupancy in H3K9R mutants. To examine potential consequences of these changes of chromatin architecture, we performed total RNA-seq. In H3K9R mutants we observed increased levels of transposon and pIRNA cluster transcripts; however, the protein-coding transcriptome was similar to controls. FAIRE-seq and total RNA-seq were performed in imaginal wing discs from 3rd instar Drosophila larvae. gDNA-seq samples are input samples for FAIRE-seq. HP1a ChIP-seq was performed from whole 3rd instar larvae. All three experiments were performed on endogenous histone mutants rescued with either a wild-type (HWT) or H3K9R mutant transgenic histone array. Experiments were carried out in duplicate or triplicate.

The molecular complexity within a cell may be seen as an evolutionary response to the external complexity of the cell’s environment. This suggests that the external environment may be harnessed to interrogate the cell’s internal molecular architecture. Cells, however, are not only nonlinear and non-stationary, but also exhibit heterogeneous responses within a clonal, isogenic population. In effect, each cell undertakes its own experiment. Here, we develop a method of cellular interrogation using programmable microfluidic devices which exploits the additional information present in cell-to-cell variation, without requiring model parameters to be fitted to data. We focussed on Ca2+ signalling in response to hormone stimulation, which exhibits oscillatory spiking in many cell types and chose eight models of Ca2+ signalling networks which exhibit similar behaviour in simulation. We developed a nonlinear frequency analysis for non-stationary responses, which could classify models into groups under parameter variation, but found that this question alone was unable to distinguish critical feedback loops. We further developed a nonlinear amplitude analysis and found that the combination of both questions ruled out six of the models as inconsistent with the experimentally-observed dynamics and heterogeneity. The two models that survived the double interrogation were mathematically different but schematically identical and yielded the same unexpected predictions that we confirmed experimentally. Further analysis showed that subtle mathematical details can markedly influence non-stationary responses under parameter variation, emphasising the difficulty of finding a “correct” model. By developing questions for the pathway being studied, and designing more versatile microfluidics, cellular interrogation holds promise as a systematic strategy that can complement direct intervention by genetics or pharmacology.

This dataset contains the raw images (img/*) of colony arrays and associated image analysis data (iris/*) for the estimation of colony size and colony opacity. The data files are used for downstream analysis in the chemical genetic pipeline while the raw images are made available for alternative image analysis approaches. Together with the data, metadata files (keys/*) and filtering information (filter/*) are used to generate an S-score matrix describing chemical genetic interactions for RNA polymerase mutations.

A key to the fields in the data and metadata files is provided in (readme.txt). The code generating the final dataset is available has been published as a Code Ocean compute capsule.

The final dataset for chemical genetic interactions and the dataset of gene expression changes in β-P153L are also available (datasets/*)

The General Order detailing RPD's interrogation procedures policy.

Numerical simulation data used for figures in "Noise-induced servo errors in optical clocks utilizing Rabi interrogation" (Metrologia, DOI 10.1088/1681-7575/acdfd4). For some figures, also the analytical results are given. For description of data, see header rows. For details, see the corresponding figure captions in the article.

To provide an RNA-centric view of the landscape of the host proteins interacting with SARS-CoV-2 RNA during infection.

The Data Interrogation and Visualisation Environment (DIVE) is a graphical tool to interactively explore and visualise a diverse range of datasets. These datatsets range from 1-dimensional point data (e.g. species biomass) to 4-dimensional time-varying volumetric datasets (e.g. model output).

Pacemaker settings and data acquired immediately post-procedure and at follow-up interrogation.

Identifying and characterizing intermolecular forces in the condensed phase is crucial for understanding both micro- and macroscopic properties of solids; ranging from solid-state reactivity to thermal expansion. Insight into these interactions enables a holistic comprehension of bulk properties, and thus understanding them has direct implications for supramolecular design. However, even modest changes to intermolecular interactions can create unpredictable changes to solid-state structures and dynamics. For example, copper(II) acetylacetonate (Cu(C5H7O2)2) and copper(II) hexafluoroacetylacetonate (Cu(C5HF6O2)2) exhibit similar molecular conformations, yet differences between the methyl and trifluoromethyl groups produce distinct sets of intermolecular forces in the condensed phase. Ultimately, these differences produce unique molecular arrangements in the solid state, with corresponding differences in material properties between the two crystals. In this work, terahertz spectroscopy is used to measure low-frequency vibrational dynamics, which, by extension, provide detailed insight into the underlying intermolecular forces that exist in each system. The experimental data is coupled to theoretical quantum mechanical simulations to precisely quantify the interplay between various energetic effects, and these results highlight the delicate balance that is struck between electronic and dispersive interactions that underpin the structural and related differences between the two systems.

We applied RNA-protein interactome capture method called XRNAX to shed light on RNA-bound proteome in the brain affected with dysmyelination. We found that sets of canonical RBPs that are known to regulate alternative splicing and being engaged in the formation of cytoplasmic granules are perturbed at the level of their RNA interactome in the mouse brain with the inborn deficit of myelin. This dataset contains the whole brain proteomics data as well as LC-MS/MS data from XRNAX extracts enriched in brain RBPs following UV crosslink of RNA-protein interaction in the brain tissue homogenates from wildtype C57BL6/N (experiments 1 and 2) and shiverer mouse model (experiment 3). Whole brain tissues were homogenized using two different methods: biopulverization of the flash-frozen tissue in liquid nitrogen (experiments 2 and 3), and alternatively, tissues submersed in PBS buffer immediately after dissections were disintegrated with Dounce homogenizer (experiment 1).

The ability to perform thorough sampling is of critical importance when using mass spectrometry to characterize complex proteomic mixtures. A common approach is to reinterrogate a sample multiple times by LC-MS/MS. However, the conventional data-dependent acquisition methods that are typically used in proteomics studies will often redundantly sample high-intensity precursor ions while failing to sample low-intensity precursors entirely. We describe a method wherein the masses of successfully identified peptides are used to generate an accurate mass exclusion list such that those precursors are not selected for sequencing during subsequent analyses. We performed multiple concatenated analytical runs to sample a complex cell lysate, using either accurate mass exclusion-based data-dependent acquisition (AMEx) or standard data-dependent acquisition, and found that utilization of AMEx on an ESI-Orbitrap instrument significantly increases the total number of validated peptide identifications relative to a standard DDA approach. The additional identified peptides represent precursor ions that exhibit low signal intensity in the sample. Increasing the total number of peptide identifications augmented the number of proteins identified, as well as improved the sequence coverage of those proteins. Together, these data indicate that using AMEx is an effective strategy to improve the characterization of complex proteomic mixtures.

Behavior depends on coordinated activity across multiple brain regions. Within such networks, highly connected hub regions are assumed to disproportionately influence behavioral output, although this hypothesis has not been systematically evaluated. Previously, by mapping brain-wide expression of the activity-regulated gene c-fos, we identified a network of brain regions co-activated by fear memory. To test the hypothesis that hub regions are more important for network function, here, we simulated node deletion in silico in this behaviorally defined functional network. Removal of high degree nodes produced the greatest network disruption (e.g., reduction in global efficiency). To test these predictions in vivo, we examined the impact of post-training chemogenetic silencing of different network nodes on fear memory consolidation. In a series of independent experiments encompassing 25% of network nodes (i.e., 21/84 brain regions), we found that node degree accurately predicted observed de...

"High dynamic range electro-optic dual-comb interrogation of optomechanical sensors" to be published in Optics Letters.

Dielectric spectroscopy (DS) can be a robust in situ technique for geochemical applications. In this study, we applied deep-learning techniques to DS measurement data to enable rapid science interrogation and identification of electrolyte solutions containing salts and amino acids over a wide temperature range (20 to −60 °C). For the purpose of searching for signs of life, detecting amino acids is a fundamental high priority for field and planetary instruments as amino acids are one of the building blocks for life as we know it. A convolutional neural network (CNN) with channel-wise one-dimensional filters is proposed to fulfill the task, using the DS data of amino acid and inorganic salt solutions. Experimental results show that the CNN with two convolutional layers and one fully connected layer can effectively differentiate solutions containing amino acids from those containing salts in both the liquid and solid (water ice) states. To complement the experimental measurements and CNN analysis, the diffusive behaviors of ions (K+, Cl–, and OH–) were further discussed with atomistic molecular dynamics simulations performed in this work as well as the quantum simulation published in the literature. Combining DS with machine-learning techniques and simulations will greatly facilitate more real-time decision-making of mobility systems for future exploratory endeavors in other worlds beyond Earth.

N-Heterocyclic carbenes (NHCs) are promising monolayer-forming ligands that can overcome limitations of thiol-based monolayers in terms of stability, surface functionality and reactivity across a variety of transition metal surfaces. Recent publications have reported the ability of NHCs to support biomolecular receptors on gold substrates for sensing applications, and improved tolerance to prolonged biofluid exposure relative to thiols. However, important questions remain regarding the stability of these monolayers when subjected to voltage perturbations, which is needed for applications with electrochemical platforms. Here, we investigate the ability of two NHCs, 1,3-diisopropylbenzimidazole and 5-(ethoxycarbonyl)-1,3-diisopropylbenzimidazole, to form monolayers via self-assembly from methanolic solutions of their trifluoromethanesulfonate salts. We compare the electrochemical behavior of the resulting monolayers relative to that of benchmark mercaptohexanol monolayers in phosphate-buffered saline. Within the -0.15 to 0.25 V vs Ag|AgCl voltage window, NHC monolayers are stable on gold surfaces, wherein they electrochemically perform like thiol-based monolayers and undergo similar reorganization kinetics, displaying long-term stability under incubation in buffered media and under continuous voltammetric interrogation. At negative voltages, NHC monolayers cathodically desorb from the electrode surface at lower bias (-0.1 V) than thiol-based monolayers (-0.5 V). At voltages more positive than 0.25 V, NHC monolayers anodically desorb from electrode surfaces at similar voltages to thiol-based monolayers. These results highlight new limitations to NHC monolayer stability imposed by electrochemical interrogation of the underlying gold electrodes. Our results serve as a framework for future optimization of NHC monolayers on gold for electrochemical applications, as well as structure-functionality studies of NHCs on gold.