Class Of Codes Research Articles

Classical density functional theory in three dimensions with GPU-accelerated automatic differentiation: Computational performance analysis using the example of adsorption in covalent-organic frameworks

We show how classical density functional theory can greatly benefit from algorithmic advances in machine learning, especially neural networks. By exploiting GPU-accelerated backward automatic differentiation, we overcome the often cumbersome and error-prone implementation of functional derivatives for classical density functional theory computations. This provides an efficient and straightforward solution for computing functional derivatives, opening up a wide range of applications. We show the gain in computational performance by using backward automatic differentiation to compute the functional derivatives on GPUs, and exemplify the use of this easy-to-implement and highly extensible classical density functional theory framework to predict the adsorption isotherms of a methane/ethane mixture described by a Helmholtz energy functional based on the PC-SAFT equation of state in the covalent-organic framework 2,3-DhaTph. Together with this manuscript, we provide the full classical density functional theory code as supplementary material.

Quantum variations of cyclotomic cosets for cyclic stabiliser codes construction

Cyclotomic cosets are intrinsically linked with the design and construction of classical cyclic codes whose properties can be inferred from the coset structures. This paper proposes some new quantum variations of cyclotomic cosets for cyclic stabiliser construction. These variations are governed by several parameters which are devoted to designing the two essential parts: the error part and the position part of these cosets. Criteria on these cosets in generating additive cyclic stabiliser are extensively studied, followed by actual implementation on stabiliser codes construction of several selected classes of length.

On the effectiveness of hybrid pooling in mixup-based graph learning for language processing

Graph neural network (GNN)-based graph learning has been popular in natural language and programming language processing, particularly in text and source code classification. Typically, GNNs are constructed by incorporating alternating layers which learn transformations of graph node features, along with graph pooling layers that use graph pooling operators (e.g., Max-pooling) to effectively reduce the number of nodes while preserving the semantic information of the graph. Recently, to enhance GNNs in graph learning tasks, Manifold-Mixup, a data augmentation technique that produces synthetic graph data by linearly mixing a pair of graph data and their labels, has been widely adopted. However, the performance of Manifold-Mixup can be highly affected by graph pooling operators, and there have not been many studies that are dedicated to uncovering such affection. To bridge this gap, we take an early step to explore how graph pooling operators affect the performance of Mixup-based graph learning. To that end, we conduct a comprehensive empirical study by applying Manifold-Mixup to a formal characterization of graph pooling based on 11 graph pooling operations (9 hybrid pooling operators, 2 non-hybrid pooling operators). The experimental results on both natural language datasets (Gossipcop, Politifact) and programming language datasets (JAVA250, Python800) demonstrate that hybrid pooling operators are more effective for Manifold-Mixup than the standard Max-pooling and the state-of-the-art graph multiset transformer (GMT) pooling, in terms of producing more accurate and robust GNN models.Editor’s note: Open Science material was validated by the Journal of Systems and Software Open Science Board.

Open versus Minimally Invasive Nephroureterectomy: Contemporary Analysis from a Wide National Population-Based Database.

It is generally perceived that minimally invasive nephroureterectomy (MINU), especially in the form of robotic-assisted laparoscopy, is gaining an increasing role in many institutions. The aim of our study was to investigate contemporary trends in the adoption of MINU in the United States compared with open nephroureterectomy (ONU). Patients who underwent ONU or MINU between 2011 and 2021 were retrospectively analyzed using PearlDiver Mariner, an all-payer insurance claims database. International Classification of Diseases diagnosis and procedure codes were used to identify the type of surgical procedure, patients' characteristics, social determinants of health (SDOH), and perioperative complications. The primary objective assessed different trends and costs in NU adoption, while secondary objectives analyzed factors influencing the postoperative complications, including SDOH. Outcomes were compared using multivariable regression models. Overall, 15,240 patients underwent ONU (n=7675) and MINU (n=7565). Utilization of ONU declined over the study period, whereas that of MINU increased from 29 to 72% (p=0.01). The 60-day postoperative complication rate was 23% for ONU and 19% for MINU (p<0.001). At multivariable analysis, ONU showed a significantly higher risk of postoperative complications (odds ratio 1.33, 95% CI 1.20-1.48). Approximately 5% and 9% of patients reported at least one SDOH at baseline for both ONU and MINU (p<0.001). Contemporary trend analysis of a large national dataset confirms that there has been a significant shift towards MINU, which is gradually replacing ONU. A minimally invasive approach is associated with lower risk of complications. SDOH are non-clinical factors that currently do not have an impact on the outcomes of nephroureterectomy.

RETRACTED: TriCh-LKRepNet: A large kernel convolutional malicious code classification network for structure reparameterisation and triple-channel mapping

In response to escalating cybersecurity threats, this study aims to develop a lightweight deep learning model for efficient and accurate detection and classification of malware. To achieve this goal, the study introduces RGB-MalNet, a novel network architecture that balances performance and resource utilization. The method innovatively transforms malware representations into image channels through RGB three-channel mapping, which improves information richness and discriminative power. RGB-MalNet creates a streamlined framework that optimizes network connections, reduces memory access overhead, and boosts overall efficiency. The model achieves accuracy rates of 99.47% and 97.55% on the Kaggle and DataCon datasets, respectively. Compared to existing methodologies, this approach stands out in terms of performance, resource consumption, and versatility. It offers a viable and efficient solution for malicious code detection and classification.

Reducing IV Antibiotic Duration for Neonatal UTI Using a Clinical Standard Pathway.

Urinary tract infections (UTIs) are the most common bacterial infections in young infants and are traditionally treated with longer intravenous (IV) antibiotic courses. A growing body of evidence supports shorter IV antibiotic courses for young infants. Our primary aim was to decrease the IV antibiotic treatment to 3 days over 2 years for neonates aged 0 to 28 days who have been hospitalized with UTIs. Using quality improvement methods, our primary intervention was to implement a revised clinical pathway recommending 3 (previously 7) days of IV antibiotics. Our primary outcome measure was IV antibiotic duration, and the secondary outcomes were length of stay (LOS) and costs. The balancing measure was readmission within 30 days of discharge. Neonates were identified by using International Classification of Diseases diagnosis codes and excluded if they were admitted to the ICU or had a LOS >30 days. We used statistical process control to analyze outcome measures for 4 years before (baseline) and 2 years after the pathway revision (intervention) in February 2020. A total of 93 neonates were hospitalized with UTIs in the baseline period and 41 were hospitalized in the intervention period. We found special cause variation, with a significant decrease in mean IV antibiotic duration from 4.7 (baseline) to 3.1 days (intervention) and a decrease in mean LOS from 5.4 to 3.6 days. Costs did not differ between the baseline and intervention periods. There were 7 readmissions during the baseline period, and 0 during the intervention period. The implementation of a revised clinical pathway significantly reduced IV antibiotic treatment duration and hospital LOS for neonatal UTIs without an increase in hospital readmissions.

Rationale for issuing neuroimaging requests for patients with primary headaches in China.

To investigate the prevalence of neuroimaging in patients with primary headaches and the clinician-based rationale for requesting neuroimaging in China. This study included patients with primary headaches admitted to hospitals and clinicians in China. We identified whether neuroimaging was requested and the types of neuroimaging conducted. This was a cross-sectional study, and convenience sampling was used to recruit patients with primary headaches. Clinicians were interviewed using a combination of personal in-depth and topic-selection group interviews to explore why doctors requested neuroimaging. We searched for the diagnosis of primary headache in the outpatient and inpatient systems according to the International Classification of Diseases-10 code of patients admitted to six hospitals in three provincial capitals by 2022.We selected three public and three private hospitals with neurology specialties that treated a corresponding number of patients. Among the 2263 patients recruited for this study, 1942 (89.75%) underwent neuroimaging. Of the patients, 1157 (51.13%) underwent magnetic resonance imaging (MRI), 246 (10.87%) underwent both head computed tomography (CT) and MRI, and 628 (27.75%) underwent CT. Fifteen of the 16 interviewed clinicians did not issue a neuroimaging request for patients with primary headaches. Furthermore, we found that doctors issued a neuroimaging request for patients with primary headaches mostly, to exclude the risk of misdiagnosis, reduce uncertainty, avoid medical disputes, meet patients' medical needs, and complete hospital assessment indicators. For primary headaches, the probability of clinicians requesting neuroimaging was higher in China than in other countries. There is considerable room for improvement in determining appropriate strategies to reduce the use of low-value care for doctors and patients.

QR code design: From digital graphics to environmental, product and fashion design

Classification of design codes by the level of complexity of their design was cre-ated for the first time. The obtained results are key to understanding the role of the QR code as a full-fledged work of art in the context of modern design. In the future, this will allow us to single out the most noticeable trends in the development of coded information in the conditions of modern visual culture.

Trends in hospice utilization and place of death preferences in multiple myeloma-related deaths from 2003 to 2020: Analysis of CDC Wonder database.

e24039 Background: Multiple myeloma (MM) is an incurable hematological malignancy of plasma cells with high disease-related morbidity and mortality. Modern treatment has revolutionized the care of MM patients. However, a significant proportion of patients will eventually succumb to the disease. Place of Death (POD) is an important determinant of patient and caregiver preference, access to home-based supportive care, and cost of caregiving at EOL. We evaluate trends in POD for patients and hospice utilization with MM in the U.S. from 2003 to 2020. Methods: We analyzed data using the Centers for Disease Control and Prevention WONDER (Wide-Ranging Online Data for Epidemiologic Research) database. The data for deaths due to MM was pooled using the International Classification of Diseases-10th Revision code C 90.0. We included adult patients (age &gt; 18 years), diagnosed with MM during 2003-2020. The demographic data was obtained to calculate descriptive statistics using age, gender, place of death, census region, and utilization of hospice mortality. Annual percentage change (APC) in mortality was calculated using the joinpoint model. Results: There were 205,472 deaths in MM patients in the era 2003-2020, of which 88,245 (42.95%) deaths were in the decedent home and hospice facility (H&amp;H) and107,275 (52.12%) deaths were reported in medical facilities and nursing homes. There was a significant increase in the trend of H&amp;H [29% to 58%, average annual percentage (AAPC) 4.6404, p &lt; 0.001] and a decline in medical facility/nursing home (M&amp;N) deaths [64.9% to 37.7%, AAPC-2.1059, p &lt; 0.001]. When stratified by census regions, all regions in the US depicted significantly increased utilization of H&amp;H (p &lt; 0.001), with the highest H&amp;H utilization in the West region (CENS-R4) of 47.97%, while the highest M&amp;N mortality of 60.4% was observed in North-East region. There is a significant increase in H&amp;H utilization reported in the age group 45-64 years (AAPC 3.544) and age group 65+ (AAPC 5.0277) with p &lt; 0.0001 for both groups. The younger patients (Age &lt; 45) tend to use hospice less, but the number of deaths in the group was small. Furthermore, we saw increased H&amp;H utilization in both genders, with female AAPC at 4.0951 and male AAPC at 5.1393, p &lt; 0.0001 With regards to race, the highest H&amp;H utilization was seen in whites (44.66%), then American Indian or Alaska Native (40.12%), Asian or Pacific Islander (36.76%), and African American (36.05%). However, the trend analysis from 2003-2020 depicts the highest AAPC change in AAPI (8.8409). Conclusions: Over the past two decades, there has been a trend in increased utilization of hospice facilities in end-of-life care among MM patients. However, there is still opportunities to expand its utility especially in the North-East and among African American patients to reduce the psychological and cost of end-of-life care.

Healthcare resource utilization and costs in patients with a newly confirmed diagnosis of lupus nephritis in the United States over a 5-year follow-up period

BackgroundWe aimed to describe healthcare resource utilization (HCRU) and healthcare costs in patients with newly confirmed lupus nephritis (LN) in the United States over a 5-year follow-up period.MethodsThis retrospective, longitudinal cohort study (GSK Study 214102) utilized administrative claims data to identify individuals with a newly confirmed diagnosis of LN between August 01, 2011, and July 31, 2018, based on LN-specific International Classification of Diseases diagnosis codes. Index was the date of first LN-related diagnosis code claim. HCRU, healthcare costs, and incidence of systemic lupus erythematosus (SLE) flares were reported annually among eligible patients with at least 5 years continuous enrollment post-index.ResultsOf 2,159 patients with a newly confirmed diagnosis of LN meeting inclusion and exclusion criteria, 335 had at least 5 years continuous enrollment post-index. HCRU was greatest in the first year post-LN diagnosis across all categories (inpatient admission, emergency room [ER] visits, ambulatory visits, and pharmacy use), and trended lower, though remained substantial, in the 5-year follow-up period. Among patients with LN and HCRU, the mean (standard deviation [SD]) number of ER visits and inpatient admissions were 3.7 (4.6) and 1.8 (1.5), respectively, in Year 1, which generally remained stable in Years 2–5; the mean (SD) number of ambulatory visits and pharmacy fills were 35.8 (25.1) and 62.9 (43.8), respectively, in Year 1, and remained similar for Years 2–5. Most patients (≥ 91.6%) had ≥ 1 SLE flare in each of the 5 years of follow-up. The proportion of patients who experienced a severe SLE flare was higher in Year 1 (31.6%) than subsequent years (14.3–18.5%). Total costs (medical and pharmacy; mean [SD]) were higher in Year 1 ($44,205 [71,532]) than subsequent years ($29,444 [52,310]–$32,222 [58,216]), driven mainly by inpatient admissions (Year 1: $21,181 [58,886]; subsequent years: $7,406 [23,331]–$9,389 [29,283]).ConclusionsPatients with a newly confirmed diagnosis of LN have substantial HCRU and healthcare costs, particularly in the year post-diagnosis, largely driven by inpatient costs. This highlights the need for improved disease management to prevent renal damage, improve patient outcomes, and reduce costs among patients with renal involvement.

A Novel Source Code Representation Approach Based on Multi-Head Attention

Code classification and code clone detection are crucial for understanding and maintaining large software systems. Although deep learning surpasses traditional techniques in capturing the features of source code, existing models suffer from low processing power and high complexity. We propose a novel source code representation method based on the multi-head attention mechanism (SCRMHA). SCRMHA captures the vector representation of entire code segments, enabling it to focus on different positions of the input sequence, capture richer semantic information, and simultaneously process different aspects and relationships of the sequence. Moreover, it can calculate multiple attention heads in parallel, speeding up the computational process. We evaluate SCRMHA on both the standard dataset and an actual industrial dataset, and analyze the differences between these two datasets. Experiment results in code classification and clone detection tasks show that SCRMHA consumes less time and reduces complexity by about one-third compared with traditional source code feature representation methods. The results demonstrate that SCRMHA reduces the computational complexity and time consumption of the model while maintaining accuracy.

Impact of a History of COVID-19 Infection on Postoperative Outcomes for Free Flap Patients.

Objectives: This study examines the impact of a history of coronavirus disease 2019 (COVID-19) infection on patients' outcomes after microvascular free flap surgery and to examine the recommendations on when to perform microvascular surgery after a COVID-19 infection. Methods: A retrospective chart review using the TriNetX database was completed on March 5, 2023. Two cohorts were created: (1) patients who had a positive COVID-19 diagnosis within 1 year before microvascular free flap surgery, and (2) patients with no history of COVID-19 who underwent free flap surgery. Current Procedural Terminology codes were used to identify procedures and International Classification of Diseases-10 codes were used to identify outcomes. Results: There was a total of 31,505 patients who underwent microvascular free flap surgery, 500 of whom had a diagnosis of COVID-19 within 1 year of free flap surgery and 31,005 without history of COVID-19. There was increased risk of sepsis, surgical site infection (SSI), generalized infection, gangrene, dehiscence, hematoma, seroma, intensive care unit admission, and death in patients who underwent free flap surgery within a year of COVID-19 infection. After propensity score matching, there were 498 patients in both groups. Increased risk remained for SSI and gangrene in patients with a history of COVID-19 after matching. When comparing surgical timing between 0 to 2 months after COVID-19 infection and 2 to 12 months after COVID-19 infection, there were no significant differences between groups. Conclusions: After propensity score matching, patients with a history of COVID-19 infection were at increased risk for SSI and gangrene. However, many flap surgeries cannot be delayed. This study may help counsel patients regarding the possible complications after surgery and provide a heightened awareness in the surgical team of a possible increase in infectious complications in this population. Additional studies should investigate optimal timing of free flap surgery after COVID-19 infection and ways to mitigate the risk of infectious complications.

Association of aortic valve calcium with dementia and stroke: The Multi-Ethnic Study of Atherosclerosis

Background and aimsCalcific aortic valve disease is associated with increased thrombin formation, platelet activation, decreased fibrinolysis, and subclinical brain infarcts. We examined the long-term association of aortic valve calcification (AVC) with newly diagnosed dementia and incident stroke in the Multi-Ethnic Study of Atherosclerosis (MESA). MethodsAVC was measured using non-contrast cardiac CT at Visit 1. We examined AVC as a continuous (log-transformed) and categorical variable (0, 1–99, 100–299, ≥300). Newly diagnosed dementia was adjudicated using International Classification of Disease codes. Stroke was adjudicated from medical records. We calculated absolute event rates (per 1000 person-years) and multivariable adjusted Cox proportional hazards ratios (HR). ResultsOverall, 6812 participants had AVC quantified with a mean age of 62.1 years old, 52.9 % were women, and the median 10-year estimated atherosclerotic cardiovascular disease (ASCVD) risk was 13.5 %. Participants with AVC >0 were older and less likely to be women compared to those with AVC=0. Over a median 16-year follow-up, there were 535 cases of dementia and 376 cases of stroke. The absolute risk of newly diagnosed dementia increased in a stepwise pattern with higher AVC scores, and stroke increased in a logarithmic pattern. In multivariable analyses, AVC was significantly associated with newly diagnosed dementia as a log-transformed continuous variable (HR 1.09; 95 % CI 1.04–1.14) and persons with AVC ≥300 had nearly a two-fold higher risk (HR 1.77; 95 % CI 1.14–2.76) compared to those with AVC=0. AVC was associated with an increased risk of stroke after adjustment for age, sex, and race/ethnicity, but not after adjustment for ASCVD risk factors. ConclusionsAfter multivariable adjustment, AVC >0 was significantly associated with an increased risk of newly diagnosed dementia, but not incident stroke. This suggests that AVC may be an important risk factor for the long-term risk of dementia beyond traditional ASCVD risk factors.

The incidence of thrombosis with co-occurring thrombocytopenia prior to the SARS-CoV2 pandemic: A population-based study.

Thrombosis with thrombocytopenia syndrome (TTS) is a very rare prothrombotic disorder that is a safety concern for some COVID-19 vaccines. We aimed to devise a case definition to estimate the incidence of thrombosis with thrombocytopenia as a proxy for TTS in a national insurance claims database. We conducted a retrospective observational study using the National Health Insurance Research Database (NHIRD) in Taiwan over the three-year period prior to the SARS-COV-2 pandemic (2017-2019). Our case definition was all patients with newly diagnosed thrombosis co-occurring with a diagnosis of thrombocytopenia within seven days before or after the thrombosis diagnosis. Cases were identified using International Classification of Disease-10 codes. We identified 2010 patients with newly diagnosed thrombosis co-occurring with thrombocytopenia during the study period. The mean age was 64.71 years; female:male ratio 1:1.45. The most frequent thrombotic events were coronary artery disease (18.81%), cerebral infarction (16.87%), and disseminated intravascular coagulation (13.13%). Cerebral venous sinus thrombosis was rare (<0.1%). The average annual incidence rate of co-occurring new diagnoses of thrombosis and thrombocytopenia was 2.84 per 100 000 population. Incidence rates were higher in men than women, except in 20-39 year-olds (higher in females). 20.6% of patients died within the first month after diagnosis. We observed that the demographic and clinical characteristics of thrombosis with co-occurring thrombocytopenia using our case definition is different from that of TTS. Further research is needed to refine the case definition of TTS in the post-COVID-19 vaccination period.

Diabetes Mellitus and Intervertebral Disc Degeneration: A Meta-Analysis

BackgroundDiabetes mellitus (DM) has been related to a higher risk of intervertebral disc degeneration (IVDD). However, the previous studies showed inconsistent results. We performed a systematic review and meta-analysis to comprehensively investigate the association between DM and IVDD in adult population. MethodsObservational studies relevant to the aim of the meta-analysis were retrieved by search of electronic databases including PubMed, Web of Science, and Embase. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity. ResultsEleven observational studies involving 2881170 adults were included. Among them, 1211880 had DM. Compared to those with normoglycemia, patients with DM were associated with a higher odds ratio (OR) of IVDD (OR: 1.68, 95% confidence interval [CI]: 1.24 to 2.29, p < 0.001; I2= 98%). Further sensitivity analysis excluding database studies with IVDD diagnosed via International Classification of Disease codes showed consistent results (OR: 1.47, 95% CI: 1.06 to 2.02, p = 0.02) with no statistical heterogeneity (I2 = 0%). Subgroup analyses showed a stronger association between DM and IVDD in cohort studies than that in cross-sectional studies, in studies evaluating overall IVDD than that evaluating lumbar disc degeneration, and in studies that adjusted age and body mass index (BMI) than that did not (p for subgroup differences all < 0.05). Subgroup analyses according to study country and quality score did not significantly affect the association. ConclusionsDM may be associated with IVDD in adult population, which seems to be independent of age and BMI.

Epidemiology and Risk Factors of Eosinophilic Esophagitis in Japan: A Population-Based Study

Background and AimsEosinophilic esophagitis (EoE) has been increasingly diagnosed globally. However, there have been few general population-based studies in Asia. The aim of this study was to investigate EoE epidemiology in the Japanese general population. MethodsWe analyzed an employer-based health insurance claim database from January 2005 to September 2022. EoE cases were identified based on the International Classification of Diseases-tenth Revision code, K20.0. We calculated the incidence and prevalence of EoE using Poisson regression and binomial distribution, respectively. Using 10 matched controls for each EoE case, a nested case-control study was performed to identify potential risk factors for EoE. ResultsOf 15,200,895 individuals, 1,010 EoE cases were identified. The incidence and prevalence of EoE were 2.82 (95% CI 2.44–3.26) per 100,000 person-years and 10.68 (95% CI 10.01–11.37) per 100,000 people in 2022, nearly three and eight times as high as those in 2017, respectively. Smoking was associated with decreased risk of EoE (OR 0.45 (0.36 to 0.56), p<0.001) whereas alcohol consumption (OR 1.51 (1.21 to 1.88), p<0.001) were associated with increased risk of EoE along with several allergic conditions and psychiatric disorders. EoE was not related to either body mass index or lifestyle-related diseases such as hypertension, diabetes mellitus, hyperuricemia, and dyslipidemia. ConclusionThe incidence and prevalence of EoE in Japan have steadily increased over the past two decades. Nevertheless, EoE remains less common in Japan compared to the United States and Western Europe. Factors contributing to the epidemiology of EoE on a global basis may improve our understanding of the contribution of genetic and environmental risk factors.

Neighborhood Walkability Is Associated With Lower Burden of Cardiovascular Risk Factors Among Cancer Patients

BackgroundModifiable cardiovascular risk factors constitute a significant cause of cardiovascular disease and mortality among patients with cancer. Recent studies suggest a potential link between neighborhood walkability and favorable cardiovascular risk factor profiles in the general population. ObjectivesThis study aimed to investigate whether neighborhood walkability is correlated with favorable cardiovascular risk factor profiles among patients with a history of cancer. MethodsWe conducted a cross-sectional study using data from the Houston Methodist Learning Health System Outpatient Registry (2016-2022) comprising 1,171,768 adults aged 18 years and older. Neighborhood walkability was determined using the 2019 Walk Score and divided into 4 categories. Patients with a history of cancer were identified through International Classification of Diseases-10th Revision-Clinical Modification codes (C00-C96). We examined the prevalence and association between modifiable cardiovascular risk factors (hypertension, diabetes, smoking, dyslipidemia, and obesity) and neighborhood walkability categories in cancer patients. ResultsThe study included 121,109 patients with a history of cancer; 56.7% were female patients, and 68.8% were non-Hispanic Whites, with a mean age of 67.3 years. The prevalence of modifiable cardiovascular risk factors was lower among participants residing in the most walkable neighborhoods compared with those in the least walkable neighborhoods (76.7% and 86.0%, respectively). Patients with a history of cancer living in very walkable neighborhoods were 16% less likely to have any risk factor compared with car-dependent–all errands neighborhoods (adjusted OR: 0.84, 95% CI: 0.78-0.92). Sensitivity analyses considering the timing of events yielded similar results. ConclusionsOur findings demonstrate an association between neighborhood walkability and the burden of modifiable cardiovascular risk factors among patients with a medical history of cancer. Investments in walkable neighborhoods may present a viable opportunity for mitigating the growing burden of modifiable cardiovascular risk factors among patients with a history of cancer.

INTERPRETABLE AND GENERALIZABLE HTS CODE CLASSIFICATION FRAMEWORK

The automation of Harmonized Tariff Schedule (HTS) code classification - a crucial task in international trade that entails assigning standardized codes to goods for tariff and regulatory purposes - is examined in this paper using GPT-3, a cutting-edge Large Language Model (LLM). The focus on creative prompt-engineering techniques and the usage a frozen model approach eliminates the need for further model fine-tuning. The suggested approach makes use of GPT-3’s built-in capabilities to decipher intricate product descriptions and reliably assign them to the appropriate HTS categories. We show through an array of experiments that strategic prompt adjustments including few-shot prompting allowed the model's initial top-1 accuracy of 23 percent to be significantly increased to an average of 73 percent. The main strengths of the approach are the explainability for the chosen category as well as the fully generalizable nature of the methodology.

Pharmacologic Anticoagulation Is Associated With a Lower Risk of Recurrent Venous Thromboembolic Events During Janus Kinase Inhibitor Use for Patients With a Prior Thrombosis.

Janus kinase (JAK) inhibitors tofacitinib and upadacitinib are effective therapies for inflammatory bowel disease and rheumatologic disorders but currently possess a warning for increased venous thromboembolism (VTE) risk. Some patients with a history of VTE may benefit from a JAK inhibitor, but the risk of recurrent VTE with JAK inhibitor use is unclear. Our goal was to observe rates of new VTE events after starting JAK inhibitor therapy in patients with a prior VTE, and observe whether concurrent anticoagulation (AC) reduces this risk. We conducted a review of adults prescribed tofacitinib or upadacitinib between January 1, 2000, and June 30, 2023, with a prior history of VTE. Patient charts were reviewed for demographic data, disease type, and VTE date(s), and to verify duration of JAK inhibitor use along with any concurrent AC. VTEs following JAK inhibitor initiation were identified by International Classification of Diseases-Tenth Revision code and verified by physician documentation and imaging. We identified 79 patients with a documented VTE history before initiating JAK inhibitors, 47 of whom began a JAK inhibitor with concurrent AC. Of these, 15 patients discontinued AC while receiving JAK inhibitors. In total, 5 new VTE events were observed during 55.42 patient-years of JAK inhibitor treatment without concurrent AC (9.0 events per 100 patient-years), while no new VTE events occurred during 65.2 patient-years of JAK inhibitor treatment with concurrent AC, demonstrating a lower risk of recurrent VTE (P = .020). These results suggest that for patients with a prior VTE history there is a high risk for recurrent VTE while receiving JAK inhibitors. Concurrent use of AC with JAK inhibitors appears to be protective against recurrent VTEs in this population.

Entanglement-assisted Quantum Reed-Muller Tensor Product Codes

We present the construction of standard entanglement-assisted (EA) qubit Reed-Muller (RM) codes and their tensor product variants from classical RM codes. We show that the EA RM codes obtained using the CSS construction have zero coding rate and negative catalytic rate. We further show that EA codes constructed from these same classical RM codes using the tensor product code (TPC) construction have positive coding rate and provide a subclass of EA RM TPCs that have positive catalytic rate, thus establishing the coding analog of superadditivity for this family of codes, useful towards quantum communications. We also generalize this analysis to obtain conditions for EA TPCs from classical codes to have positive catalytic rate when their corresponding EA CSS codes have zero rate.