Precision Era Research Articles

THE MODIFIED OHM’S LAW AND ITS IMPLICATIONS FOR ELECTRICAL CIRCUIT ANALYSIS

Ohm’s Law has long been a cornerstone of electrical engineering, providing a linear relationship between voltage, current, and resistance that has underpinned modern circuit analysis. However, as technology advances and philosophical inquiries deepen, the limitations of this venerable law have become evident, particularly in scenarios involving near-zero resistance. This paper introduces a novel formulation-the modified Ohm’s Law; that not only rectifies the pitfalls of the conventional law but also harmonizes physics with philosophical principles. Motivated by the perplexing issue of predicting infinite current at zero resistance and the philosophical implications of deriving infinity from the finite, the modified equation serves as a bridge between empirical insights and logical coherence. Through rigorous mathematical derivation, comprehensive theoretical examination, and scrupulous computational analysis, the accuracy and applicability of the modified Ohm's Law are not only demonstrated but also its suitability across a wide range of scenarios is revealed. These scenarios include semiconductor devices, high-current applications, and complex systems where the standard Ohm’s Law falls short, offering a transformative perspective on the analysis of electrical circuitry. In reconciling scientific rigor with philosophical consistency, this paper advances our understanding of electrical circuitry and beckons a new era of precision in analysis. Further, the modified Ohm’s Law paves the way for deeper explorations that resonate through the domains of physics and philosophy, reshaping the landscape of our understanding.

Inkjet Printing of Pharmaceuticals.

Inkjet printing (IJP) is an additive manufacturing process that selectively deposits ink materials, layer-by-layer, to create 3D objects or 2D patterns with precise control over their structure and composition. This technology has emerged as an attractive and versatile approach to address the ever-evolving demands of personalized medicine in the healthcare industry. Although originally developed for nonhealthcare applications, IJP harnesses the potential of pharma-inks, which are meticulously formulated inks containing drugs and pharmaceutical excipients. Delving into the formulation and components of pharma-inks, the key to precise and adaptable material deposition enabled by IJP is unraveled. The review extends its focus to substrate materials, including paper, films, foams, lenses, and 3D-printed materials, showcasing their diverse advantages, while exploring a wide spectrum of therapeutic applications. Additionally, the potential benefits of hardware and software improvements, along with artificial intelligence integration, are discussed to enhance IJP's precision and efficiency. Embracing these advancements, IJP holds immense potential to reshape traditional medicine manufacturing processes, ushering in an era of medical precision. However, further exploration and optimization are needed to fully utilize IJP's healthcare capabilities. As researchers push the boundaries of IJP, the vision of patient-specific treatment is on the horizon of becoming a tangible reality.

Translational Systems Approach to Clinical Dental Research: A Primer for Precision and Personalized Oral Health in Resource-Constrained Settings

Resource-constrained regions such as sub-Saharan Africa urgently need to leverage innovative approaches to dental care provision and research, using available scarce resources. Even though a lot of clinical dental research has emerged in Africa, from the use of clinical dental samples (or data) and carried out by dental healthcare personnels, the principles of clinical dental research (CDR) and the embellishment of a translational dental research (TDR) pipeline is not widely used and considered. Neither has this principle trickled down to curriculum-integrated mechanisms at many academic dental schools on the continent. Equipping future dental professionals with robust clinical dental research skill need to be implemented in an integrated and systematized manner on the continent. It is therefore important to define the precise parameters of CDR and what it should entail, as well as what the exact purpose of carrying out such research should be. Furthermore, key concepts in TDR, as well as precision and personalized oral health (PPOH) need to be established, in the era of precision and omics-based dentistry. Hence, this paper discusses an integrative implementation framework and models for optimizing the use of TDR for cost effective CDR in resource-limited settings. We also proposed the utilization of a CDR and TDR model that uses a systems-oriented, multiscale integration of CDR, TDR and PPOH within the clinical dental practice settings, dental research environments, as well as incorporation of these concepts into the pedagogical curriculum of undergraduate and postgraduate dental training programs. Using the proposed integrative implementation framework for CDR and TDR in resource-constrained regions, it is envisaged that cost- and labour-effective practices will be instituted. Not least, effective incorporation of PPOH and one health into CDR and TRD will hopefully translate into beneficial global oral public health policies and systems reform in Africa.

Advancements in Dermatological Therapies

Dermatology has witnessed remarkable advancements in therapeutic approaches, revolutionizing the field and transforming the landscape of skin health. From innovative treatment modalities to novel drug discoveries, the realm of dermatological therapies has expanded exponentially, offering new hope and improved outcomes for patients. These advancements have not only revolutionized the way we address various skin conditions but have also opened doors to personalized and targeted treatments. Exploring and embracing these advancements is crucial for dermatologists to provide the highest level of care and enhance the quality of life for their patients. The advent of biologics and targeted therapies has been a game-changer in dermatology. Conditions such as psoriasis, atopic dermatitis, and various autoimmune disorders now have targeted treatment options that specifically address the underlying mechanisms of the disease. Biologics, including monoclonal antibodies and immune modulators, have shown exceptional efficacy in managing these conditions, providing long-lasting relief and reducing disease burden for patients. Additionally, advancements in molecular research and genetic profiling have paved the way for personalized medicine in dermatology, allowing for tailored treatment plans based on an individual's unique genetic makeup and characteristics.
 Furthermore, technological innovations have brought forth significant advancements in dermatological therapies. Laser and light-based treatments have revolutionized the management of various skin conditions, including acne scars, vascular lesions, and unwanted pigmentation. These non-invasive procedures offer precise targeting and minimal downtime, delivering remarkable results with reduced risks. Moreover, the integration of artificial intelligence and digital health technologies has enhanced diagnostic accuracy and improved treatment outcomes. From teledermatology to image analysis algorithms, these technologies streamline patient care, facilitate remote consultations, and enable efficient data-driven decision-making.
 Collaborative efforts between dermatologists and pharmaceutical companies have also led to the development of novel therapeutic agents. New drug discoveries, formulations, and delivery systems have expanded treatment options for conditions such as skin cancer, fungal infections, and chronic inflammatory disorders. Researchers continue to explore innovative pathways, including immunotherapies and microbiome-targeted therapies, opening doors to further advancements in the field. Advancements in dermatological therapies have ushered in a new era of precision and effectiveness in the management of various skin conditions. From targeted biologics to technological innovations, these breakthroughs have transformed the way dermatologists approach patient care. Embracing these advancements and staying abreast of the latest developments is essential for dermatologists to provide the best possible care and improve patient outcomes. As the field continues to evolve, ongoing research, collaboration, and technological integration will shape the future of dermatological therapies, empowering both clinicians and patients in their pursuit of optimal skin health

Single-Top Quark Physics at the LHC: From Precision Measurements to Rare Processes and Top Quark Properties

Since the initial measurements of single-top quark production at the Tevatron in 2009, tremendous progress has been made at the LHC. While LHC Run 1 marked the beginning of a precision era for the single-top quark measurements in some of the main production mechanisms, LHC Run 2 witnessed the emergence and exploration of new processes associating top quark production with a neutral boson. In this paper, we review the measurements of the three main production mechanisms (t-channel, s-channel, and tW production), and of the associated production with a photon, a Z boson, or a Higgs boson. Differential cross-sections are measured for several of these processes and compared with theoretical predictions. The top quark properties that can be measured in single-top quark processes are scrutinized, such as Wtb couplings and top quark couplings with neutral bosons, and the polarizations of both the W boson and top quark. The effective field theory framework is emerging as a standard for interpreting property measurements. Perspectives for LHC Run 3 and the HL-LHC are discussed in the conclusions.

Comparison of Molecular and Clinicopathologic-Based Classifications and the Transition of Adjuvant Treatment Mode for Early-Stage Endometrial Cancer

Due to the division in classification strategies based on different molecular and clinicopathologic guidelines, the current emergence of multiple molecular typing methods greatly challenges the traditional classification-guided hierarchical treatment model. The early-stage ECs who underwent a total hysterectomy and comprehensive molecular analyses were analyzed consecutively between May 2021 and December 2022. All enrolled patients were performed with immunohistochemistry for lymph-vascular space invasion (LVSI), p53, and mismatch repair (MMR) proteins, NGS-panel Sanger sequencing for POLE exonuclease domain, and TP53. The Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE) classifier and the ESGO/ESTRO/ESP guidelines with and without molecular character were respectively employed to reclassify the enrolled patients. Categorical variables of the risk-group shift were compared by Pearson's χ2 or two-sided Fisher's exact test. A total of 81 early-stage ECs patients were enrolled. Molecular analyses identified four subgroups across the 81 ECs: 9 (11%) POLE mut, 22 (27.1%) MMRd, 38 (46.9%) NSMP, and 12 (14.8%) p53 abn. Compared with ESGO/ESTRO/ESP 2016 classifier, 26 (32.1%) and 23 (28.4%) patients in ESGO/ESTRO/ESP 2020 cohort with and without molecular classification, respectively, were risk-group downshifted (p>0.05). Ten (12.3%) patients were upshifted in ESGO/ESTRO/ESP 2020 molecular classification comparing to clinical classifier. Remarkably, two patients demonstrated discordance between the ProMisE and TCGA classifiers since the different sequences of classification strategies. On the other hand, 48 of 81 patients received adjuvant radiotherapy, and 12 patients received external beam radiation therapy (EBRT). According to the final molecular test, eight of 12 were classified into low and intermediate risk. The treatment of endometrial cancer is in a period of transition from the clinicopathologic-based model to the era of molecular precision. Discordance between different classifiers and overtreatment remain in clinical practice. Therefore, we should be cautious about using molecular typing to guide adjuvant treatment decisions until it is finally validated in prospective trials.

First usage of Intra-Nuclear Cascade of Liège (INCL) model for nuclear transport of protons from neutrino-nucleus scattering

Neutrino oscillation physics enters the precision era, and the modeling of neutrino-nucleus interactions constitutes a challenging source of systematic uncertainty for such measurements. A new generation of detectors is being developed to measure the complete (exclusive) final state of particles resulting from neutrino interactions. To fully benefit from the improved detector capabilities, precise simulations of the nuclear effects on the final-state nucleons are needed. We have employed the Intra-Nuclear Cascade of Liège model to simulate the propagation of hadrons through the nuclear medium after the neutrino interaction to address this problem. We present a characterization of the hadronic final state after Final State Interactions (FSI) and comparisons to available measurements of transverse kinematic imbalance. The study presented here [1] is a crucial milestone towards the precise simulation of final state interactions in neutrino-nucleus interactions and a complete estimation of related uncertainties.

Alcohol zero: the end, the beginning of the end, or just the end of the beginning?

Alcohol drinks, especially wine, have been described since 6,000 B.C. For many years in modern medicine, wine in moderation has been considered healthy for cardiovascular prevention, i.e., recommended by nutrition committees. Some regional guidelines still recommend one to two standard drinks per day. By the very recent (January 2023), World Health Organization and Canadian Guidance on alcohol emphasize that any alcoholic drink is hazardous to the health and the safe amount is zero. The risk starts with every single drop. It was also nicely summarized in the manuscript “Alcohol-dose question and the weakest link in a chemical interplay” (Explor Cardiol. 2023;1:15–25. doi: 10.37349/ec.2023.00003) especially from the standpoint of a researcher in the cardiovascular arena. The newest recommendations are based on observational studies and their meta-analysis, therefore establishing associations, pointing out that alcohol may somewhat prevent cardiovascular diseases and diabetes type 2, but with a significant increase in non-cardiovascular morbidity and mortality, especially cancers. Previous recommendations, therefore, may be obsolete as they were based on studies where abstainers from alcoholic beverages had inherent higher risks. The current controversy with conflicting guidelines for alcoholic beverage consumption in the era of precision medicine may stimulate more fundamental investigations up to genetic ones and find the cause-effect relations. In the era of precision medicine, it may come closer to discovering the causes of cancers and many other diseases, enabling predictions of reactions to alcoholic beverages by each person, not just in the population.

Radiomics; A Potential Next "Omics" in Psychiatric Disorders; An Introduction.

Psychiatric disorders remain one of the most debilitating conditions; however, most patients are never diagnosed and do not seek treatment. Despite its massive burden on modern society and the health system, many hurdles prevent proper diagnosis and management of these disorders. The diagnosis is primarily based on clinical symptoms, and efforts to find appropriate biomarkers have not been practical. Through the past years, researchers have put a tremendous effort into finding biomarkers in "omics" fields: genomics, transcriptomics, proteomics, metabolomics, and epigenomics. This article reviews the evolving field of radiomics and its role in diagnosing psychiatric disorders as the sixth potential "omics." The first section of this paper elaborates on the definition of radiomics and its potential to provide a detailed structural study of the brain. Following that, we have provided the latest promising results of this novel approach in a broad range of psychiatric disorders. Radiomics fits well within the concept of psychoradiology. Besides volumetric analysis, radiomics takes advantage of many other features. This technique may open a new field in psychiatry for diagnosing and classifying psychiatric disorders and treatment response prediction in the era of precision and personalized medicine. The initial results are encouraging, but radiomics in psychiatry is still in its infancy. Despite the extensive burden of psychiatric disorders, there are very few published studies in this field, with small patient populations. The lack of prospective multi-centric studies and heterogeneity of studies in design are the significant barriers against the clinical adaptation of radiomics in psychoradiology.

Advancing Healthcare through Artificial Intelligence: Innovations at the Intersection of AI and Medicine

The integration of Artificial Intelligence (AI) into the field of medicine has catalysed transformative advancements, revolutionizing the landscape of healthcare. The paper delves into the dynamic intersection of AI and medicine, exploring innovative applications, methodologies, and outcomes that have emerged as a result. By harnessing the power of AI, healthcare systems have experienced enhanced diagnostic accuracy, personalized treatment strategies, and optimized operational efficiency. Through an in-depth analysis of cutting-edge research, technological breakthroughs, and real-world implementations, the paper showcases how AI has propelled healthcare into an era of unprecedented precision and effectiveness. It also addresses the ethical considerations and challenges associated with AI-driven medical interventions. By shedding light on the remarkable potential of AI in healthcare, it contributes to the broader dialogue on the ongoing transformation of medical practices and offers insights into the future trajectory of this dynamic synergy between AI and medicine. The convergence of Artificial Intelligence (AI) and medicine has ushered in a new era of possibilities, revolutionizing the healthcare landscape. It is a comprehensive exploration of the multifaceted intersection between AI and medicine, highlighting the transformative innovations that have emerged and their profound impact on healthcare delivery. The rise of AI in healthcare, elucidating the challenges that the field faces and how AI presents a paradigm shift in addressing them, is also explained in this paper. It delves into the intricate methodologies that underpin AI-driven medical advancements, ranging from machine learning algorithms that process complex medical data to neural networks that mimic human cognitive processes for image analysis and pattern recognition. These methodologies have led to groundbreaking achievements in disease diagnosis, prognosis, and treatment selection, surpassing human capabilities in some instances. The integration of AI also extends beyond clinical settings. The paper investigates how AI-driven predictive analytics have streamlined hospital operations, optimizing resource allocation, staff scheduling, and patient flow. Such innovations enhance cost-effectiveness and patient satisfaction, contributing to the overall efficiency of healthcare institutions.

DRSN4mCPred: accurately predicting sites of DNA N4-methylcytosine using deep residual shrinkage network for diagnosis and treatment of gastrointestinal cancer in the precision medicine era.

The DNA N4-methylcytosine (4mC) site levels of those suffering from digestive system cancers were higher, and the pathogenesis of digestive system cancers may also be related to the changes in DNA 4mC levels. Identifying DNA 4mC sites is a very important step in studying the analysis of biological function and cancer prediction. Extracting accurate features from DNA sequences is the key to establishing a prediction model of effective DNA 4mC sites. This study sought to develop a new predictive model, DRSN4mCPred, which aimed to improve the performance of the predicting DNA 4mC sites. The model adopted multi-scale channel attention to extract features and used attention feature fusion (AFF) to fuse features. In order to capture features information more accurately and effectively, this model utilized Deep Residual Shrinkage Network with Channel-Wise thresholds (DRSN-CW) to eliminate noise-related features and achieve a more precise feature representation, thereby, distinguishing the sites in DNA with 4mC and non-4mC. Additionally, the predictive model incorporated an inverted residual block, a Multi-scale Channel Attention Module (MS-CAM), a Bi-directional Long Short Term Memory Network (Bi-LSTM), AFF, and DRSN-CW. The results indicated the predictive model DRSN4mCPred had extremely good performance in predicting the DNA 4mC sites across different species. This paper will potentially provide support for the diagnosis and treatment of gastrointestinal cancer based on artificial intelligence in the precise medical era.

Hope in the era of precision oncology: a qualitative study of informal caregivers’ experiences

ObjectivesTo explore informal caregivers’ perspectives on precision medicine in cancer care.DesignSemi-structured interviews with the informal caregivers of people living with cancer and receiving targeted/immunotherapies. Interview transcripts were analysed thematically using...

Isospin-Symmetry Breaking within the Nuclear Shell Model: Present Status and Developments

The paper reviews the recent progress in the description of isospin-symmetry breaking within the nuclear shell model and applications to actual problems related to the structure and decay of exotic neutron-deficient nuclei and nuclei along the N=Z line, where N is the neutron number and Z the atomic number. The review recalls the fundamentals of the isospin formalism for two-nucleon and many-nucleon systems, including quantum numbers, the spectrum’s structure and selection rules for weak and electromagnetic transitions; and at the end, summarizes experimental signatures of isospin-symmetry breaking effects, which motivated efforts towards the creation of a relevant theoretical framework to describe those phenomena. The main approaches to construct accurate isospin-nonconserving Hamiltonians within the shell model are briefly described and recent advances in the description of the structure and (isospin-forbidden) decay modes of neutron-deficient nuclei are highlighted. The paper reviews major implications of the developed theoretical tools to (i) the fundamental interaction studies on nuclear decays and (ii) the estimation of the rates of nuclear reactions that are important for nuclear astrophysics. The shell model is shown to be one of the most suitable approaches to describing isospin-symmetry breaking in nuclear states at low energies. Further efforts in extending and refining the description to larger model spaces, and in developing first-principle theories to deal with isospin-symmetry breaking in many-nucleon systems, seem to be indispensable steps towards our better understanding of nuclear properties in the precision era.

Atypical and Typical Distant Sarcoid-like Reactions during Treatment of Metastatic Melanoma.

HomeRadiology: Imaging CancerVol. 5, No. 2 PreviousNext Images in CancerFree AccessAtypical and Typical Distant Sarcoid-like Reactions during Treatment of Metastatic MelanomaLacey J. McIntosh , Evan C. Ruppell, Maria BarileLacey J. McIntosh , Evan C. Ruppell, Maria BarileAuthor AffiliationsFrom the Division of Oncologic and Molecular Imaging (L.J.M., E.C.R.) and Division of Cardiothoracic Imaging (M.B.), UMass Chan Medical School/Memorial Health Care, 55 Lake Avenue North, Worcester, MA 01655.Address correspondence to L.J.M. (email: [email protected]).Lacey J. McIntosh Evan C. RuppellMaria BarilePublished Online:Mar 24 2023https://doi.org/10.1148/rycan.220177MoreSectionsPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In Sarcoid-like reactions are reported in 4%–14% of patients with cancer and are likely driven by T-cell–mediated hypersensitivity reactions forming granulomas (1). They can occur with infection, treatment, or the presence of foreign bodies (2) and have been increasingly reported in the era of precision targeted and immune checkpoint inhibitor therapy (3,4), including the use of BRAF and MEK inhibitors (Figure) (5). The classic pattern mimics sarcoidosis and involves mediastinal and hilar lymph nodes, which may be enlarged and demonstrate increased fluorodeoxyglucose (FDG) uptake at FDG PET/CT; pulmonary nodules and infiltrates may or may not be present (1,2). The incidence of extrathoracic sarcoid-like reactions is unknown but rare (6), with case reports documenting reactions including the liver, spleen, skin, central nervous system, pancreas, bone, and eyes (6,7). Absence of findings at baseline and emergence after treatment initiation can be helpful to identify a sarcoid-like reaction, although it may be indistinguishable from disease and may require tissue sampling. Radiologists should recognize these patterns to avoid confusion with disease progression. If necessary, steroids are the mainstay of treatment; immunotherapy discontinuation may be required in severe cases.Sarcoid-like reactions in a 29-year-old woman with +BRAF V600 mutation metastatic melanoma. (A, B) Baseline fluorodeoxyglucose (FDG) PET/CT maximum intensity projection (MIP) and axial fusion images show FDG-avid left axillary mass (black and white arrows), found to be metastatic melanoma (no primary cutaneous lesion identified). (C, D) Follow-up FDG PET/CT MIP and axial fusion images 8 months after left axillary nodal dissection, while receiving adjuvant dabrafenib and trametinib, show that the left axillary mass has been excised; however, there is a new FDG-avid right axillary lymph node (dashed black and white arrows). Subsequent biopsy showed lymphoid tissue with noncaseating granulomatous inflammation, consistent with atypical presentation of a sarcoid-like reaction. (E, F) Follow-up FDG PET/CT MIP and axial fusion images 2 months later show FDG-avid mediastinal and bilateral hilar lymphadenopathy (short black and white arrows), in a classic pattern of sarcoid-like reaction, which was confirmed with endobronchial US-guided fine needle aspiration cytology.Download as PowerPointOpen in Image Viewer Disclosures of conflicts of interest: L.J.M. Consultant providing clinical trial reads (Bioclinica/Clario, WorldCare Clinical, Imaging Endpoints) and content consultation (Medality) but without conflicts of interest for this article. E.C.R. No relevant relationships. M.B. No relevant relationships.Keywords: Molecular Imaging–Cancer, PET/CTAuthors declared no funding for this work.

ORTHO AI : The Dawn Of A New Era: Artificial Intelligence In Orthopaedics

ORTHO AI : The Dawn Of A New Era: Artificial Intelligence In Orthopaedics

Savremeni pristup u lečenju oligometastatskog karcinoma prostate

Oligometastatic disease is defined as an intermediate state between localized and widespread metastatic disease. Oligometastatic prostate cancer is generally defined by the presence of five or fewer metastatic sites on imaging. In the era of precision and personalized cancer care, the introduction of more sensitive imaging technologies and the availability of safe and effective localized non-or minimally invasive treatment options, have led to an increase in the incidence and clinical interest in oligometastatic prostate cancer. In addition, the therapeutic paradigm for oligometastatic prostate cancer is evolving toward a more aggressive approach. Retrospective studies have shown that in the metastatic setting, treatments such as radical prostatectomy and local or metastasis-directed radiation therapy can be performed with minimal risk of toxicity and may enhance clinical outcomes. As there is insufficient data to draw reliable conclusions about their impact on survival, aggressive approaches in the treatment of oligometastatic prostate cancer should be considered only in the context of prospective clinical trials, with the patient informed of the limited evidence of benefit. The current inconsistent approach of detecting and treating oligometastatic prostate cancer patients will need to be standardized in order for future clinical studies to be properly performed and, more importantly, compared. These crucial conditions will reveal if oligometastasis diagnosis and therapy should be included in the standard clinical practice of prostate cancer patients.

Entanglements and imagined futures: The subject(s) of precision in oncology

Precision oncology holds an increasingly powerful social function. In the era of precision, how people encounter, live with, and experience cancer, how they imagine their lives, how they navigate treatment regimens, and experience side effects, have been radically transformed. Innovations in oncology – in this case precision-related – are always more-than-clinical; their circulation exceeds the laboratory and the hospital, but what this ‘circulation of innovation’ produces has been thus far opaque. To begin to comprehend what is emergent at the cancer-precision nexus in people's everyday lives, we draw on qualitative interviews with twenty people diagnosed with metastatic non-small cell lung cancer undergoing immunotherapy and/or targeted therapy and we discuss how precision inflects survivorship, entangles subjects in chronic living, and induces novel temporalities. Through such inflections of survivorship, precision innovation re-shapes expectations and possibilities, and sometimes enacts new, unexpected (or, for some, unwanted) futures. Such illness and survivorship narratives indicate the importance of orientating the social science scholarship toward considerations of temporality and entanglements for comprehending precision innovation in oncology. And in doing so, provide a nuanced account of how innovations unsettle and recast, rather than unravel, the normative scene of cancer.

The Evolution of Orthodontics: Advancements, Innovations, and Transformative Technologies

This paper explores the remarkable advancements that have reshaped the field of orthodontics, ushering in an era of precision, efficiency, and patient-centered care. From digital technology and invisible orthodontic solutions to 3D printing and AI-driven treatment planning, the evolution of orthodontics has redefined treatment strategies and enhanced clinical outcomes. This comprehensive review highlights the transformative technologies that have revolutionized orthodontic practice, ultimately improving patient experiences and treatment effectiveness.

Precision safety management (PSM): A novel and promising approach to safety management in the precision era

Precision is the ultimate goal of safety management. Over the past few decades, technological advances and applications (e.g., advances and applications of information technology) in safety management and its research have given safety managers the ability to pursue and realize relatively precise safety management based on sufficient and precise safety information. It can be said that safety management has entered the precision era. Therefore, in the present and future, developing novel approaches to precise prevention and control of safety risks is an inevitable safety management trend. This paper proposed a new and promising approach to safety management called precision safety management (PSM). The main objective of this paper was to answer the following five basic questions regarding PSM from a theoretical perspective: (i) What is PSM? (ii) Why is it necessary to develop PSM? (iii) What are the relationships between PSM and other concepts? (iv) What does PSM do? (v) How does an organization use PSM? Additionally, this paper presented the application of the PSM approach to the precise prevention and control of safety risks in a chemical industrial park as a case study. The main contributions of this paper are a theoretical framework for PSM, and a practical case for PSM. This study can help researchers and practitioners understand PSM and lay the foundation for its future research and practice.

Classification of partial seizures based on functional connectivity: A MEG study with support vector machine

Temporal lobe epilepsy (TLE) is a chronic neurological disorder that is divided into two subtypes, complex partial seizures (CPS) and simple partial seizures (SPS), based on clinical phenotypes. Revealing differences among the functional networks of different types of TLE can lead to a better understanding of the symbology of epilepsy. Whereas Although most studies had focused on differences between epileptic patients and healthy controls, the neural mechanisms behind the differences in clinical representations of CPS and SPS were unclear. In the context of the era of precision, medicine makes precise classification of CPS and SPS, which is crucial. To address the above issues, we aimed to investigate the functional network differences between CPS and SPS by constructing support vector machine (SVM) models. They mainly include magnetoencephalography (MEG) data acquisition and processing, construction of functional connectivity matrix of the brain network, and the use of SVM to identify differences in the resting state functional connectivity (RSFC). The obtained results showed that classification was effective and accuracy could be up to 82.69% (training) and 81.37% (test). The differences in functional connectivity between CPS and SPS were smaller in temporal and insula. The differences between the two groups were concentrated in the parietal, occipital, frontal, and limbic systems. Loss of consciousness and behavioral disturbances in patients with CPS might be caused by abnormal functional connectivity in extratemporal regions produced by post-epileptic discharges. This study not only contributed to the understanding of the cognitive-behavioral comorbidity of epilepsy but also improved the accuracy of epilepsy classification.