End-to-end physics-informed deep neural network optimization of sub-Nyquist lenses.

In this paper, an approach for optimizing sub-Nyquist lenses using an end-to-end physics-informed deep neural network is presented. The simulation and optimization of these sub-Nyquist lenses is investigated for image quality, classification performance, or both. This approach integrates a diffractive optical model with a deep learning classifier, forming a unified optimization framework that facilitates simultaneous simulation and optimization. Lenses in this work span numerical apertures from approximately 0.1 to 1.0, and a total of 707 models are trained using the PyTorch-Lightning deep learning framework. Results demonstrate that the optimized lenses produce better image quality in terms of mean squared error (MSE) compared to analytical lenses by reducing the impact of diffraction order aliasing. When combined with the classifier, the optimized lenses show improved classification performance and reduced variability across the focal range. Additionally, the absence of correlation between the MSE measurement of image quality and classification performance suggests that images that appear good according to the MSE metric may not necessarily be beneficial for the classifier.

Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery.

Deep learning has become increasingly common in aerial imagery analysis. As its use continues to grow, it is crucial that we understand and can explain its behavior. One eXplainable AI (XAI) approach is to generate linguistic summarizations of data and/or models. However, the number of summaries can increase significantly with the number of data attributes, posing a challenge. Herein, we proposed a hierarchical approach for generating and evaluating linguistic statements of black box deep learning models. Our approach scores and ranks statements according to user-specified criteria. A systematic process was outlined for the evaluation of an object detector on a low altitude aerial drone. A deep learning model trained on real imagery was evaluated on a photorealistic simulated dataset with known ground truth across different contexts. The effectiveness and versatility of our approach was demonstrated by showing tailored linguistic summaries for different user types. Ultimately, this process is an efficient human-centric way of identifying successes, shortcomings, and biases in data and deep learning models.

Association Between Patient Factors and the Effectiveness of Wearable Trackers at Increasing the Number of Steps per Day Among Adults With Cardiometabolic Conditions: Meta-analysis of Individual Patient Data From Randomized Controlled Trials.

BACKGROUND: Current evidence supports the use of wearable trackers by people with cardiometabolic conditions. However, as the health benefits are small and confounded by heterogeneity, there remains uncertainty as to which patient groups are most helped by wearable trackers. OBJECTIVE: This study examined the effects of wearable trackers in patients with cardiometabolic conditions to identify subgroups of patients who most benefited and to understand interventional differences. METHODS: We obtained individual participant data from randomized controlled trials of wearable trackers that were conducted before December 2020 and measured steps per day as the primary outcome in participants with cardiometabolic conditions including diabetes, overweight or obesity, and cardiovascular disease. We used statistical models to account for clustering of participants within trials and heterogeneity across trials to estimate mean differences with the 95% CI. RESULTS: Individual participant data were obtained from 9 of 25 eligible randomized controlled trials, which included 1481 of 3178 (47%) total participants. The wearable trackers revealed that over the median duration of 12 weeks, steps per day increased by 1656 (95% CI 918-2395), a significant change. Greater increases in steps per day from interventions using wearable trackers were observed in men (interaction coefficient -668, 95% CI -1157 to -180), patients in age categories over 50 years (50-59 years: interaction coefficient 1175, 95% CI 377-1973; 60-69 years: interaction coefficient 981, 95% CI 222-1740; 70-90 years: interaction coefficient 1060, 95% CI 200-1920), White patients (interaction coefficient 995, 95% CI 360-1631), and patients with fewer comorbidities (interaction coefficient -517, 95% CI -1188 to -11) compared to women, those aged below 50, non-White patients, and patients with multimorbidity. In terms of interventional differences, only face-to-face delivery of the tracker impacted the effectiveness of the interventions by increasing steps per day. CONCLUSIONS: In patients with cardiometabolic conditions, interventions using wearable trackers to improve steps per day mostly benefited older White men without multimorbidity. TRIAL REGISTRATION: PROSPERO CRD42019143012; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=143012.

Best Practices for Chiropractic Management of Adult Patients With Mechanical Low Back Pain: A Clinical Practice Guideline for Chiropractors in the United States.

OBJECTIVE: The purpose of this paper was to update the previously published 2016 best-practice recommendations for chiropractic management of adults with mechanical low back pain (LBP) in the United States. METHODS: Two experienced health librarians conducted the literature searches for clinical practice guidelines and other relevant literature, and the investigators performed quality assessment of included studies. PubMed was searched from March 2015 to September 2021. A steering committee of 10 experts in chiropractic research, education, and practice used the most current relevant guidelines and publications to update care recommendations. A panel of 69 experts used a modified Delphi process to rate the recommendations. RESULTS: The literature search yielded 14 clinical practice guidelines, 10 systematic reviews, and 5 randomized controlled trials (all high quality). Sixty-nine members of the panel rated 38 recommendations. All but 1 statement achieved consensus in the first round, and the final statement reached consensus in the second round. Recommendations covered the clinical encounter from history, physical examination, and diagnostic considerations through informed consent, co-management, and treatment considerations for patients with mechanical LBP. CONCLUSION: This paper updates a previously published best-practice document for chiropractic management of adults with mechanical LBP.

Post-fabrication tuning of microring resonators using 3D-printed microfluidics.

We demonstrate a method of tuning the resonant frequencies of silicon microring resonators using a 3D-printed microfluidic chip overlaid directly on the photonic circuit with zero energy consumption following the initial tuning. Aqueous solutions with different concentrations of NaCl are used in experimentation. A shift of a full free spectral range is observed at a concentration of 10% NaCl. On a 60 µm microring resonator, this equals a resonant wavelength shift of 1.514 nm when the index of the cladding changes by 0.017 refractive index units (RIUs), or at a rate of 89.05 nm/RIU.

Drivers of vegetative dormancy across herbaceous perennial plant species.

Vegetative dormancy, that is the temporary absence of aboveground growth for ≥ 1 year, is paradoxical, because plants cannot photosynthesise or flower during dormant periods. We test ecological and evolutionary hypotheses for its widespread persistence. We show that dormancy has evolved numerous times. Most species displaying dormancy exhibit life-history costs of sprouting, and of dormancy. Short-lived and mycoheterotrophic species have higher proportions of dormant plants than long-lived species and species with other nutritional modes. Foliage loss is associated with higher future dormancy levels, suggesting that carbon limitation promotes dormancy. Maximum dormancy duration is shorter under higher precipitation and at higher latitudes, the latter suggesting an important role for competition or herbivory. Study length affects estimates of some demographic parameters. Our results identify life historical and environmental drivers of dormancy. We also highlight the evolutionary importance of the little understood costs of sprouting and growth, latitudinal stress gradients and mixed nutritional modes.

Pseudomonas aeruginosa responds to exogenous polyunsaturated fatty acids (PUFAs) by modifying phospholipid composition, membrane permeability, and phenotypes associated with virulence.

BACKGROUND: Pseudomonas aeruginosa, a common opportunistic pathogen, is known to cause infections in a variety of compromised human tissues. An emerging mechanism for microbial survival is the incorporation of exogenous fatty acids to alter the cell's membrane phospholipid profile. With these findings, we show that exogenous fatty acid exposure leads to changes in bacterial membrane phospholipid structure, membrane permeability, virulence phenotypes and consequent stress responses that may influence survival and persistence of Pseudomonas aeruginosa. RESULTS: Thin-layer chromatography and ultra performance liquid chromatography / ESI-mass spectrometry indicated alteration of bacterial phospholipid profiles following growth in the presence of polyunsaturated fatty acids (PUFAs) (ranging in carbon length and unsaturation). The exogenously supplied fatty acids were incorporated into the major bacterial phospholipids phosphatidylethanolamine and phosphatidylglycerol. The incorporation of fatty acids increased membrane permeability as judged by both accumulation and exclusion of ethidium bromide. Individual fatty acids were identified as modifying resistance to the cyclic peptide antibiotics polymyxin B and colistin, but not the beta-lactam imipenem. Biofilm formation was increased by several PUFAs and significant fluctuations in swimming motility were observed. CONCLUSIONS: Our results emphasize the relevance and complexity of exogenous fatty acids in the membrane physiology and pathobiology of a medically important pathogen. P. aeruginosa exhibits versatility with regard to utilization of and response to exogenous fatty acids, perhaps revealing potential strategies for prevention and control of infection.

Survey and Insights into Unmanned Aerial-Vehicle-Based Detection and Documentation of Clandestine Graves and Human Remains.

Numerous biological and archaeological studies have demonstrated the legitimacy of remote sensing in anthropology. This article focuses on detecting and documenting terrestrial clandestine graves and surface remains (CGSR) of humans using unmanned aerial vehicles (UAVs), sensors, and automatic processing algorithms. CGSR is a problem of complex decision making under uncertainty that requires the identification and intelligent reasoning about direct evidence of human remains and their environmental fingerprints. As such, it is as much an engineering and geospatial problem as it is an anthropology problem. This article is an effort to survey existing work across disciplines and to provide insights and recommendations to assist future research. To support our claims, preliminary experiments were performed at the Forensic Anthropological Research Facility at Texas State University using UAVs, hyperspectral imaging, thermal imaging, and structure from motion. Prior work, our experience, and preliminary results indicate that both great potential and extreme challenges face remote sensing of CGSR.

Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection.

A significant challenge in object detection is accurate identification of an object's position in image space, whereas one algorithm with one set of parameters is usually not enough, and the fusion of multiple algorithms and/or parameters can lead to more robust results. Herein, a new computational intelligence fusion approach based on the dynamic analysis of agreement among object detection outputs is proposed. Furthermore, we propose an online versus just in training image augmentation strategy. Experiments comparing the results both with and without fusion are presented. We demonstrate that the augmented and fused combination results are the best, with respect to higher accuracy rates and reduction of outlier influences. The approach is demonstrated in the context of cone, pedestrian and box detection for Advanced Driver Assistance Systems (ADAS) applications.

Exogenous polyunsaturated fatty acids (PUFAs) alter phospholipid composition, membrane permeability, biofilm formation and motility in Acinetobacter baumannii.

Acinetobacter baumannii is a ubiquitous multidrug-resistant bacteria that is found on a variety of surfaces, including skin, hair and soil. During the past decade, A. baumannii has emerged as a significant cause of nosocomial infections in the United States. Recent studies have highlighted the ability of some bacteria to utilize a wide variety of fatty acids as a membrane remodelling strategy. Considering this, we hypothesized that fatty acids may have an effect on the emerging pathogen A. baumannii. Thin-layer chromatography indicated structural alterations to major phospholipids. Liquid chromatography/mass spectrometry confirmed the assimilation of numerous exogenous polyunsaturated fatty acids (PUFAs) into the phospholipid species of A. baumannii. The incorporation of fatty acids affected several bacterial phenotypes, including membrane permeability, biofilm formation, surface motility and antimicrobial peptide resistance.

Invasive Complete Hydatidiform Moles: Analysis of a Case Series With Genotyping.

Complete hydatidiform moles (CHM) are purely androgenetic conceptions, with most (∼85%) arising from fertilization of an egg lacking maternal DNA by a single sperm that duplicates (homozygous/monospermic 46,XX) and a small subset arising via fertilization by 2 sperms (heterozygous/dispermic 46,XY or 46,XX). It remains controversial if heterozygous/dispermic CHMs have a significantly greater risk of persistent gestational trophoblastic disease. Analysis of zygosity of CHMs with and without invasion at presentation, including invasive CHMs with concurrent atypical trophoblastic proliferations concerning for or consistent with choriocarcinoma, has not been specifically addressed. In a prospective series of 1024 products of conception specimens subjected to immunohistochemical analysis of p57 expression and molecular genotyping with short tandem-repeat markers, 288 CHMs were diagnosed, of which 126 were genotyped, including 16 invasive CHMs. Zygosity was compared between those with and without invasion. Of the 16 study cases, 12 (75%) were homozygous/monospermic XX and 4 (25%) were heterozygous/dispermic (3 XY and 1 XX). Of the 110 genotyped noninvasive CHMs, 96 (87%) were homozygous/monospermic XX and 14 (13%) were heterozygous/dispermic (12 XY, 2 XX). Comparison of the zygosity results for the invasive CHMs (study group) with the noninvasive CHMs in the database did not demonstrate a statistically significant difference (P=0.24, Fisher exact test). In addition, of the 3 cases associated with metastatic gestational trophoblastic disease (pulmonary nodules) at presentation, 2 were homozygous/monospermic XX, indicating that this form is not without risk of significant gestational trophoblastic disease. Thus, the current study has demonstrated a higher frequency of heterozygous/dispermic CHMs among invasive cases compared with those lacking invasion, but does not support the use of zygosity data for risk assessment of CHMs. A persistent, unresolved diagnostic challenge identified in some invasive CHMs is interpretation of accompanying florid atypical trophoblastic proliferations which raise concern for choriocarcinoma. Future studies should address the need for reproducible diagnostic criteria and molecular biomarkers for distinguishing florid hyperplastic from malignant neoplastic trophoblastic proliferations.

Performance characteristics of next-generation sequencing in clinical mutation detection of colorectal cancers.

Activating mutations in downstream genes of the epidermal growth factor receptor (EGFR) pathway may cause anti-EGFR resistance in patients with colorectal cancers. We present performance characteristics of a next-generation sequencing assay designed to detect such mutations. In this retrospective quality assessment study, we analyzed mutation detected in the KRAS, NRAS, BRAF, and PIK3CA genes by a clinically validated next-generation sequencing assay in 310 colorectal cancer specimens. Tumor cellularity and mutant allele frequency were analyzed to identify tumor heterogeneity and mutant allele-specific imbalance. Next-generation sequencing showed precise measurement of mutant allele frequencies and detected 23% of mutations with 2-20% mutant allele frequencies. Of the KRAS mutations detected, 17% were outside of codons 12 and 13. Among PIK3CA mutations, 48% were outside of codons 542, 545, and 1047. The percentage of tumors with predicted resistance to anti-EGFR therapy increased from 40% when testing for only mutations in KRAS exon 2 to 47% when testing for KRAS exons 2-4, 48% when testing for KRAS and NRAS exons 2-4, 58% when including BRAF codon 600 mutations, and 59% when adding PIK3CA exon 20 mutations. Right-sided colorectal cancers carried a higher risk of predicted anti-EGFR resistance. A concomitant KRAS mutation was detected in 51% of PIK3CA, 23% of NRAS, and 33% of kinase-impaired BRAF-mutated tumors. Lower than expected mutant allele frequency indicated tumor heterogeneity, while higher than expected mutant allele frequency indicated mutant allele-specific imbalance. Two paired neuroendocrine carcinomas and adjacent adenomas showed identical KRAS mutations, but only PIK3CA mutations in neuroendocrine carcinomas. Next-generation sequencing is a robust tool for mutation detection in clinical laboratories. It demonstrates high analytic sensitivity and broad reportable range, and it provides simultaneous detection of concomitant mutations and a quantitative measurement of mutant allele frequencies to predict tumor heterogeneity and mutant allele-specific imbalance.

Feasibility of EASE: a psychosocial program to improve symptom management in head and neck cancer patients.

PURPOSE: Head and neck cancer (HNC) patients experience multiple physical and psychosocial symptoms associated with their cancer treatment. The Easing and Alleviating Symptoms during Treatment (EASE) study utilized a mixed methods design to examine the feasibility of a tailored telephone-based coping and stress management intervention to improve symptom management and psychosocial care among HNC patients. METHODS: An Embedded Correlational Mixed Methods Design was utilized to answer two research questions: (1) is the EASE intervention feasible? and (2) Did EASE participants report improvements in psychosocial outcomes after completion of the EASE intervention? HNC patients were assessed at baseline and 3 months. Psychosocial measures included cancer-specific distress, pain, social support, and quality of life. Project records and exit interviews were conducted to assess acceptability and satisfaction with the intervention. RESULTS: The mean age of the participants was 60 years (SD = 9.5), 76 % were male, 47 % married/partnered, and 57 % had a history of tobacco use. Of the 24 participants who were enrolled, 16 completed the intervention. Participants and telephone counselors reported high levels of satisfaction. Although the small sample size and lack of a control group limit our ability to assess the efficacy of the intervention, our findings suggest that the intervention helped to buffer the negative emotional and physical impact of cancer treatment. CONCLUSIONS: This pilot study demonstrated that the EASE intervention is feasible and acceptable to HNC cancer patients undergoing treatment. The study findings revealed some challenges of implementing a psychosocial intervention in HNC patients and inform future intervention studies with this population.

Effect of replacement of fish oil with camelina (Camelina sativa) oil on growth, lipid class and fatty acid composition of farmed juvenile Atlantic cod (Gadus morhua).

Camelina (Camelina sativa) oil was tested as a replacement for fish oil in diets for farmed Atlantic cod (Gadus morhua). Camelina differs from other plant oilseeds previously used in aquaculture with high lipid (40 %), α-linolenic acid (40 %), antioxidants and low proportions of saturated fats. Dietary treatments were fed to cod (19 g fish⁻¹ initial weight) for 9 weeks and included a fish oil control (FO), 40 % (CO40) and 80 % (CO80) replacement of fish oil with camelina oil. There was no effect of replacing fish oil with camelina oil included at levels up to 80 % on the growth performance. Cod fed CO80 stored more lipid in the liver (p < 0.01), including more neutral lipid (p < 0.05) and triacylglycerol (p < 0.05). Cod fed CO80 decreased in total polyunsaturated fatty acids (PUFAs) in muscle compared to CO40 and FO (p < 0.05), increased in monounsaturated fatty acids (p < 0.01), decreased in total ω3 fatty acids (FO > CO40 > CO80; p < 0.01) and increased in total ω6 fatty acids (FO < CO40 < CO80; p < 0.01). In the liver, long-chain (LC) PUFA such as 20:4ω6, 20:5ω3, 22:5ω3 and 22:6ω3 decreased when fish oil was removed from the diet (p < 0.05), and increased in 18-carbon fatty acids (p < 0.01). Camelina oil can reduce the amount of fish oil needed to meet lipid requirements, although replacing 80 % of fish oil reduced LC PUFAs in both tissues. A comparison of BF3 and H2SO4 as catalysts to transmethylate cod liver and muscle lipids revealed small but significant differences in some fatty acid proportions.

A Case of Oxalate Nephropathy Associated With Prolonged Cholecystostomy Tube Placement.

Oxalate nephropathy is a rare pathology that can be difficult to diagnose. It results from calcium oxalate crystals that are deposited in the renal interstitium or renal tubules. Once the deposition ensues, a multitude of complications can occur, including renal failure. One etiology for oxalate nephropathy is a lack of biliary acid. The diagnosis of oxalate nephropathy is typically based on visualization of oxalate crystals in the renal tubules on biopsy, and treatment based on the etiology can range from simple removal of the offending agent or a change in diet to liver/kidney transplant in the setting of primary hyperoxaluria. This report discusses a case of severe oxalate nephropathy related to long-term cholecystostomy tube placement resulting in a deficiency of biliary acid.

Combining Procedural and Behavioral Treatments for Chronic Low Back Pain: A Pilot Feasibility Randomized Controlled Trial.

Individual treatments for chronic low back pain (CLBP) have small magnitude effects. Combining different types of treatments may produce larger effects. This study used a 2×2 factorial randomized controlled trial (RCT) design to combine procedural and behavioral treatments for CLBP. The study aims were to: (1) assess feasibility of conducting a factorial RCT of these treatments; and (2) estimate individual and combined treatment effects of (a) lumbar radiofrequency ablation (LRFA) of the dorsal ramus medial branch nerves (vs. a simulated LRFA control procedure) and (b) Activity Tracker-Informed Video-Enabled Cognitive Behavioral Therapy program for CLBP (AcTIVE-CBT) (vs. an educational control treatment) on back-related disability at 3 months post-randomization. Participants (n=13) were randomized in a 1:1:1:1 ratio. Feasibility goals included an enrollment proportion ≥30%, a randomization proportion ≥80%, and a ≥80% proportion of randomized participants completing the 3-month Roland-Morris Disability Questionnaire (RMDQ) primary outcome endpoint. An intent-to-treat analysis was used. The enrollment proportion was 62%, the randomization proportion was 81%, and all randomized participants completed the primary outcome. Though not statistically significant, there was a beneficial, moderate-magnitude effect of LRFA vs. control on 3-month RMDQ (-3.25 RMDQ points; 95% CI: -10.18, 3.67). There was a significant, beneficial, large-magnitude effect of AcTIVECBT vs. control (-6.29, 95% CI: -10.97, -1.60). Though not statistically significant, there was a beneficial, large effect of LRFA+AcTIVE-CBT vs. control (-8.37; 95% CI: -21.47, 4.74). We conclude that it is feasible to conduct an RCT combining procedural and behavioral treatments for CLBP.

Coordination of Care Between Chiropractic and Behavioral Health Practitioners Within the US Department of Veterans Affairs Health Care System: A Report of 3 Patients With Pain and Mental Health Symptoms.

Objective: The purpose of this case series is to describe coordination of care between chiropractic and behavioral health practitioners within an integrated hospital-based system. Clinical Features: Three individuals presented to a US Veterans Affairs Health Care system with musculoskeletal complaints for chiropractic care. Each person demonstrated symptoms of depression or anxiety and in 2 cases indicated passive suicidal ideation. Intervention and Outcome: The chiropractors referred the patients to a mental health provider for co-management. Different approaches to mental health care were offered to each of these patients to meet their individual preferences and needs as part of an evidence informed approach. One patient underwent individual cognitive behavioral therapy; 1 patient responded well to individual cognitive behavioral therapy before transitioning to group-based pain skills, resiliency, and mindfulness therapy; and 1 patient required additional referral to Primary Care-Mental Health Integration for pharmacologic treatment. The 3 patients responded positively to interdisciplinary care and realized functional improvements and improved patient reported outcomes as assessed with the 11-point Numerical Pain Rating Scale and Neck or Back Bournemouth Questionnaire. Conclusion: This case series describes the recognition of mental health symptoms, referral to behavioral health providers, and the subsequent treatment approaches. This case series presents the first description of co-managed care for US veterans by a chiropractor and psychologist.

The chiropractor's role in primary, secondary, and tertiary prevention of suicide: a clinical guide.

OBJECTIVE: To provide the practicing chiropractor foundational knowledge to enhance the understanding of relevant primary, secondary, and tertiary public health measures for suicide prevention. METHODS: A descriptive literature review was performed using keywords low back pain, neck pain, psychosocial, pain, public health, suicide, suicide risk factors, and suicide prevention. English language articles pertaining to suicide prevention and the chiropractic profession were retrieved and evaluated for relevance. Additional documents from the Centers for Disease Control, Veterans Health Administration, and the World Health Organization were reviewed. Key literature from the clinical social work and clinical psychology fields were provided by authorship team subject matter experts. CONCLUSION: No articles reported a position statement regarding suicide prevention specific to the chiropractic profession. Risk, modifiable, and protective factors associated with self-directed violence are important clinical considerations. A proactive approach to managing patients at-risk includes developing interprofessional and collaborative relationships with mental health care professionals.

OBJECTIF: Donner aux chiropraticiens en exercice les connaissances de base nécessaires pour leur permettre de mieux saisir les mesures de santé publique primaires, secondaires et tertiaires servant à prévenir le suicide. MÉTHODOLOGIE: On a fait une revue descriptive de la littérature à l'aide des mots-clés suivants : lombalgie, cervicalgie, psychosocial, douleur, santé publique, suicide, facteurs de risque de suicide et prévention du suicide. On a évalué la pertinence des articles en anglais portant sur la prévention du suicide et la profession de chiropraticien. On a examiné d'autres documents provenant de Centers for Disease Control, de la Veterans Health Administration et de l'Organisation mondiale de la santé. Des experts en la matière, membres du comité de rédaction, ont fourni des articles importants sur le travail social clinique et la psychologie clinique. CONCLUSION: Aucun article ne renferme d'énoncé de principe sur la prévention du suicide issu de professionnels de la chiropratique. Les facteurs de risque, les facteurs modifiables et les facteurs de protection associés à l'automutilation sont des aspects importants à examiner. La prise en charge des patients vulnérables d'une manière proactive consiste entre autres à établir et à entretenir des liens de collaboration avec les professionnels de la santé mentale.

Suicide prevention, public health, and the chiropractic profession: a call to action.

BACKGROUND: Suicide is a major public health concern that has wide-reaching implications on individuals, families, and society. Efforts to respond to a public health concern as a portal-of-entry provider can reduce morbidity and mortality of patients. The objective of this commentary is a call to action to initiate dialogue regarding suicide prevention and the role the chiropractic profession may play. DISCUSSION: This public health burden requires doctors of chiropractic to realize current strengths and recognize contemporaneous deficiencies in clinical, research, and policy environments. With this better understanding, only then can the chiropractic profession strive to enhance knowledge and promote clinical acumen to target and mitigate suicide risk to better serve the public. CONCLUSION: We implore the profession to transition from bystander to actively engaged in the culture of suicide prevention beholden to all aspects of the biopsychosocial healthcare model. The chiropractic profession's participation in suicide prevention improves the health and wellness of one's community while also impacting the broader public health arena.

Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks.

While most deep learning architectures are built on convolution, alternative foundations such as morphology are being explored for purposes such as interpretability and its connection to the analysis and processing of geometric structures. The morphological hit-or-miss operation has the advantage that it considers both foreground information and background information when evaluating the target shape in an image. In this article, we identify limitations in the existing hit-or-miss neural definitions and formulate an optimization problem to learn the transform relative to deeper architectures. To this end, we model the semantically important condition that the intersection of the hit and miss structuring elements (SEs) should be empty and present a way to express Don't Care (DNC), which is important for denoting regions of an SE that are not relevant to detecting a target pattern. Our analysis shows that convolution, in fact, acts like a hit-to-miss transform through semantic interpretation of its filter differences. On these premises, we introduce an extension that outperforms conventional convolution on benchmark data. Quantitative experiments are provided on synthetic and benchmark data, showing that the direct encoding hit-or-miss transform provides better interpretability on learned shapes consistent with objects, whereas our morphologically inspired generalized convolution yields higher classification accuracy. Finally, qualitative hit and miss filter visualizations are provided relative to single morphological layer.