With the global whisky market reaching $65.6 billion in 2024 and projected to reach $89.48 billion by the end of 2029, the incentives for fraud in relation to (and adulteration of) this alcoholic beverage are self-evident. Law enforcement agencies worldwide have taken actions against crimes of this nature, with forensic scientists playing crucial roles (mainly through expert testimonies on sample authenticities) during legal proceedings. Important issues associated with Scotch whisky authentication include: (a) understanding the typical manufacturing process; (b) acquisition of reference samples; and (c) effective utilization of instrumentations to characterize features derived from the manufacturing process and strategic approaches for the interpretation of analytical findings. Following a brief review of the definition/classification, manufacturing, and adulteration/counterfeiting of Scotch whiskies, this review focuses on the characterization of manufacturing-derived features and interpretation of analytical findings as grouped into: (a) quantitative analysis of single compounds; (b) qualitative analysis and intensity ratio of multiple compounds; (c) chemometric analysis of selected multi-compounds; and (d) quantitative analysis of selected elements. Finally, a flowchart for conducting the authentication process, from various significantly different perspectives, is proposed.

UNASSIGNED: The aim of this study was to assess the prevalence of Tropheryma whipplei (TW) infection in the population and to investigate the clinical symptoms, as well as the laboratory and imaging characteristics of patients testing positive for TW using next-generation sequencing (NGS).
UNASSIGNED: A retrospective review was conducted on 1346 bronchoalveolar lavage fluid (BALF) samples collected between January 2021 and September 2023. The case group comprised patients with TW detected using NGS while the control group included 65 randomly chosen Gram-positive bacterial infection patients without TW. Comparative analyses were carried out on the basic demographics, laboratory parameters, and imaging findings between the two groups. Additionally, the case group underwent an in-depth examination of underlying diseases, pathogens, final diagnoses, treatment strategies.
UNASSIGNED: The case group comprised of 51 patients with TW, constituting 3.8% of the total. There was no significant difference in gender and age between the case and control groups (P = 0.84, P = 0.07). Symptoms such as coughing, expectoration, wheezing, fever, and hemoptysis are less commonly detected in the case group with a higher incidence of chest pain when compared to the control group (P >0.05). The case group exhibited decreased albumin levels and increased C-reactive protein and D-dimer levels compared to normal levels. Imaging findings in the case group commonly included nodules, patchy images, and interstitial changes, the most common underlying disease is cardiovascular disease, and the most frequently co-occurring pathogen is the human herpesvirus. Among the case group, 27 patients received a final diagnosis of pneumonia, and 3 patients clinically diagnosed with Whipple\'s disease demonstrated improvement in both symptoms and imaging after treatment.
UNASSIGNED: NGS revealed a relatively low overall detection rate of TW-positive patients using BALF. TW was more prevalent in middle-aged and elderly male patients characterized by symptoms such as cough, expectoration, shortness of breath, and fever. Chest imaging in these cases typically showed nodules and interstitial changes.

Neuromarketing is an emerging research field that aims to understand consumers\' decision-making processes when choosing which product to buy. This information is highly sought after by businesses looking to improve their marketing strategies by understanding what leaves a positive or negative impression on consumers. It has the potential to revolutionize the marketing industry by enabling companies to offer engaging experiences, create more effective advertisements, avoid the wrong marketing strategies, and ultimately save millions of dollars for businesses. Therefore, good documentation is necessary to capture the current research situation in this vital sector. In this article, we present a systematic review of EEG-based Neuromarketing. We aim to shed light on the research trends, technical scopes, and potential opportunities in this field. We reviewed recent publications from valid databases and divided the popular research topics in Neuromarketing into five clusters to present the current research trend in this field. We also discuss the brain regions that are activated when making purchase decisions and their relevance to Neuromarketing applications. The article provides appropriate illustrations of marketing stimuli that can elicit authentic impressions from consumers\' minds, the techniques used to process and analyze recorded brain data, and the current strategies employed to interpret the data. Finally, we offer recommendations to upcoming researchers to help them investigate the possibilities in this area more efficiently in the future.

BACKGROUND: Open-system electronic cigarette (EC) product features, such as battery capacity, maximum output wattage, and so forth, are major components that drive product costs and may influence use patterns. Moreover, continued innovation and monitoring of product features and prices will provide critical information for designing appropriate taxation policies and product regulations.
OBJECTIVE: This study will examine how product features are associated with the prices of devices sold in web-based vape shops.
METHODS: We draw samples from 5 popular, US-based, web-based vape shops from April to August 2022 to examine starter kits, device-only products, and e-liquid container-only products. We implemented a linear regression model with a store-fixed effect to examine the association between device attributes and prices.
RESULTS: EC starter kits or devices vary significantly by type, with mod prices being much higher than pod and vape pen prices. The prices of mod starter kits were even lower than those of mod devices, suggesting that mod starter kits are discounted in web-based vape shops. The price of mod kits, mod device-only products, and pod kits increased as the battery capacity and output wattage increased. For vape pens, the price was positively associated with the volume size of the e-liquid container. On the other hand, the price of pod kits was positively associated with the number of containers.
CONCLUSIONS: A unit-based specific tax, therefore, will impose a higher tax burden on lower-priced devices such as vape pens or pod systems and a lower tax burden on mod devices. A volume- or capacity-based specific tax on devices will impose a higher tax burden on vape pens with a larger container size. Meanwhile, ad valorem taxes pegged to wholesale or retail prices would apply evenly across device types, meaning those with advanced features such as higher battery capacities and output wattage would face higher rates. Therefore, policy makers could manipulate tax rates by device type to discourage the use of certain device products.

Objective: To explore the clinical characteristics of persistent HBeAg positivity in patients with chronic hepatitis B treated with nucleos(t)ide analogues. Methods: A retrospective analysis was performed according to different data types. An independent sample t-test, Mann-Whitney U test, chi-square test, or Fisher\'s exact probability method were used. Chronic hepatitis B patients followed up for four years were collected from the follow-up case database of the Department of Infectious Diseases of Zhongshan Third Hospital from January 2009 to December 2018 and were divided into two groups, A and B, with 87 and 145 cases respectively, according to the duration of HBeAg-negativity≤ 3 and persistent positivity >3 years. Statistical analysis was conducted on the age, gender, family history, baseline, follow-up visit duration, liver function, and other data among the two patient groups. Results: There were no statistically significant differences in gender, age, family history of liver cirrhosis, family history of liver cancer, liver cirrhosis condition before treatment, fatty liver disease combined condition before treatment, baseline HBsAg, anti-HBc, alanine aminotransferase, albumin, or total bilirubin between the two groups of patients (P > 0.05). HBV DNA and HBeAg were significantly higher in group B than those in group A at baseline, with P≤0.001. Aspartate aminotransferase and γ-glutamyl transferase were significantly higher in group A than those in group B at baseline. The proportion of family history of hepatitis B was significantly higher in group B (69.0%) than that in group A (50.6%) among the two groups of patients, and the difference was statistically significant (P = 0.005). The proportion of mothers with hepatitis B was significantly higher in group B (25.5%) than in group A (11.5%), P = 0.010. During the treatment process, the HBV DNA quantification was significantly higher in group B than that in group A at 0.5 and 1 years (P≤0.002). The proportion of HBV DNA <100IU/ml was also significantly different at six months and one year (χ(2)=30.327, P < 0.001 and χ(2)=11.779, P = 0.001). The HBsAg level was higher in group B than that of group A in the second and fourth years, P < 0.05. During the entire treatment process, the HBeAg level was significantly higher in group B than that in group A (P < 0.001). A total of seven cases developed liver cirrhosis or cancer during follow-up, including three cases in group A and four cases in group B (P > 0.05). Conclusion: HBeAg-positive patients with chronic hepatitis B have persistent HBeAg positivity when treated with long-term nucleos(t)ide analogues. Accordingly, a greater proportion of this kind of patient family and mothers have a remarkable history of hepatitis B and a reduced HBV DNA relapse rate in the early stages (within a year or less).
目的： 探讨核苷(酸)类似物治疗慢性乙型肝炎患者HBeAg持续阳性的临床特征。 方法： 采用回顾性分析，按照数据类型的不同，使用独立样本t检验，Mann-Whitney U检验、χ(2)检验或Fisher精确概率法。收集2009年1月至2018年12月中山三院感染科随访病例库中慢性乙型肝炎患者资料，随访4年，按照HBeAg转阴的时间，将患者HBsAg≤3年转阴（A组）及>3年转阴或持续阳性（B组）分为两组，分别为87、145例。对两组患者的年龄、性别、家族史及基线与复诊过程中的肝生物化学指标等资料进行统计学分析。 结果： 两组患者的性别、年龄、肝硬化家族史、肝癌家族史、治疗前肝硬化情况、治疗前合并脂肪肝情况及基线HBsAg、抗-HBc、丙氨酸转氨酶、白蛋白、总胆红素差异均无统计学意义（P值均>0.05）。基线时B组HBV DNA和HBeAg显著高于A组，P值均≤0.001。基线时A组天冬氨酸转氨酶和γ-谷氨酰转移酶显著高于B组。两组患者乙型肝炎家族史比例B组（69.0%）明显高于A组（50.6%），差异有统计意义（P = 0.005）；B组母亲患乙型肝炎比例（25.5%）显著高于A组（11.5%），P = 0.010。治疗过程中B组HBV DNA定量在0.5年和1年时显著高于A组（P≤0.002）；HBV DNA<100 IU/ml的比例在6个月及1年时差异有统计学意义（χ (2)=30.327， P<0.001和χ (2)=11.779，P = 0.001）。在第2年和第4年时，B组HBsAg水平显著高于A组，P < 0.05。在治疗全程，B组HBeAg水平显著高于A组（P<0.001）。共有7例患者在随访中发生了肝硬化或肝癌，其中A组3例，B组4例(P>0.05)。 结论： HBeAg阳性的慢性乙型肝炎患者长期核苷（酸）类似物治疗时有部分患者HBeAg呈持续阳性，这部分患者有乙型肝炎家族史及母亲患有乙型肝炎的比例显著较高，HBV DNA早期（1年及以内）复常率低等特点。.

An easily accessible and cost-free machine learning model based on prior probabilities of vascular aging enables an application to pinpoint high-risk populations before physical checks and optimize healthcare investment.
A dataset containing questionnaire responses and physical measurement parameters from 77,134 adults was extracted from the electronic records of the Health Management Center at the Third Xiangya Hospital. The least absolute shrinkage and selection operator and recursive feature elimination-Lightweight Gradient Elevator were employed to select features from a pool of potential covariates. The participants were randomly divided into training (70%) and test cohorts (30%). Four machine learning algorithms were applied to build the screening models for elevated arterial stiffness (EAS), and the performance of models was evaluated by calculating the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy.
Fourteen easily accessible features were selected to construct the model, including \"systolic blood pressure\" (SBP), \"age,\" \"waist circumference,\" \"history of hypertension,\" \"sex,\" \"exercise,\" \"awareness of normal blood pressure,\" \"eat fruit,\" \"work intensity,\" \"drink milk,\" \"eat bean products,\" \"smoking,\" \"alcohol consumption,\" and \"Irritableness.\" The extreme gradient boosting (XGBoost) model outperformed the other three models, achieving AUC values of 0.8722 and 0.8710 in the training and test sets, respectively. The most important five features are SBP, age, waist, history of hypertension, and sex.
The XGBoost model ideally assesses the prior probability of the current EAS in the general population. The integration of the model into primary care facilities has the potential to lower medical expenses and enhance the management of arterial aging.

Hyperspectral image classification remains challenging despite its potential due to the high dimensionality of the data and its limited spatial resolution. To address the limited data samples and less spatial resolution issues, this research paper presents a two-scale module-based CTNet (convolutional transformer network) for the enhancement of spatial and spectral features. In the first module, a virtual RGB image is created from the HSI dataset to improve the spatial features using a pre-trained ResNeXt model trained on natural images, whereas in the second module, PCA (principal component analysis) is applied to reduce the dimensions of the HSI data. After that, spectral features are improved using an EAVT (enhanced attention-based vision transformer). The EAVT contained a multiscale enhanced attention mechanism to capture the long-range correlation of the spectral features. Furthermore, a joint module with the fusion of spatial and spectral features is designed to generate an enhanced feature vector. Through comprehensive experiments, we demonstrate the performance and superiority of the proposed approach over state-of-the-art methods. We obtained AA (average accuracy) values of 97.87%, 97.46%, 98.25%, and 84.46% on the PU, PUC, SV, and Houston13 datasets, respectively.

Research into the role of brain oscillations in basic perceptual and cognitive functions has suggested that the alpha rhythm reflects functional inhibition while the beta rhythm reflects neural ensemble (re)activation. However, little is known regarding the generalization of these proposed fundamental operations to linguistic processes, such as speech comprehension and production. Here, we recorded magnetoencephalography in participants performing a novel rule-switching paradigm. Specifically, Dutch native speakers had to produce an alternative exemplar from the same category or a feature of a given target word embedded in spoken sentences (e.g., for the word \"tuna\", an exemplar from the same category-\"seafood\"-would be \"shrimp\", and a feature would be \"pink\"). A cue indicated the task rule-exemplar or feature-either before (pre-cue) or after (retro-cue) listening to the sentence. Alpha power during the working memory delay was lower for retro-cue compared with that for pre-cue in the left hemispheric language-related regions. Critically, alpha power negatively correlated with reaction times, suggestive of alpha facilitating task performance by regulating inhibition in regions linked to lexical retrieval. Furthermore, we observed a different spatiotemporal pattern of beta activity for exemplars versus features in the right temporoparietal regions, in line with the proposed role of beta in recruiting neural networks for the encoding of distinct categories. Overall, our study provides evidence for the generalizability of the role of alpha and beta oscillations from perceptual to more \"complex, linguistic processes\" and offers a novel task to investigate links between rule-switching, working memory, and word production.

BACKGROUND: Circular RNAs (circRNAs) can regulate microRNA activity and are related to various diseases, such as cancer. Functional research on circRNAs is the focus of scientific research. Accurate identification of circRNAs is important for gaining insight into their functions. Although several circRNA prediction models have been developed, their prediction accuracy is still unsatisfactory. Therefore, providing a more accurate computational framework to predict circRNAs and analyse their looping characteristics is crucial for systematic annotation.
RESULTS: We developed a novel framework, CircDC, for classifying circRNAs from other lncRNAs. CircDC uses four different feature encoding schemes and adopts a multilayer convolutional neural network and bidirectional long short-term memory network to learn high-order feature representation and make circRNA predictions. The results demonstrate that the proposed CircDC model is more accurate than existing models. In addition, an interpretable analysis of the features affecting the model is performed, and the computational framework is applied to the extended application of circRNA identification.
CONCLUSIONS: CircDC is suitable for the prediction of circRNA. The identification of circRNA helps to understand and delve into the related biological processes and functions. Feature importance analysis increases model interpretability and uncovers significant biological properties. The relevant code and data in this article can be accessed for free at https://github.com/nmt315320/CircDC.git .

The aim was to explore the magnetic resonance imaging (MRI) features of stage-I intravenous leiomyomatosis (IVL).
From January 2019 to January 2023, clinical, pathological, and MRI data were collected from 19 cases confirmed by surgical pathology. Two radiologists retrospectively measured the tumor sizes, T1WIs, T2WIs, and ADC values and evaluated contrast-enhanced T1WIs, DWIs, complications and parauterine infiltrations. The number of tumor cells and the total nuclear area were measured. The percentage of tumor cell area out of the total area was used as the tumor cell density.
Nineteen patients with stage-I IVL aged 33 to 66 years (mean age: 46 ± 7.6 years) were included in this study. All 19 cases were located in the myometrium or parametrium, with a mean diameter of 11.2 ± 4.8 cm. Among these cases, 14 (73.6%) were associated with leiomyoma, and six (31.6%) involved the broad ligament. Isointensity was observed in the T1WIs of 12 cases (63.2%), while slight hypointensity was seen in five patients (26.3%). Isointensity was observed in the on T2WIs of four cases (21.1%), and iso- or slight hyperintensity was observed in 15 cases (78.9%). A significant difference was detected between the normalized T2WIs of IVL and myometrium (p < 0.001). A Pearson correlation test showed demonstrated a negative correlation between the ADC and tumor cell density values (r = - 0.946, p < 0.001). Tortuous vessels were present in 17 cases (89.5%) within or next to the lesions, and multiple winding cord-like filling defects were seen in 11 cases (57.9%) within the tortuous vessels on the T2WIs.
Identifying the characteristic MRI features of stage-I IVL helped improve the diagnostic accuracy achieves for this rare tumor. Stage-I IVL often presents as a large mass accompanied by leiomyoma, and it easily invades the broad ligament. TIWI signals exhibited isointensity, and T2WI signals contained iso- or slight hyperintensity. Tortuous vessels were present within or next to the lesions, and multiple winding cord-like filling defects were observed within the tortuous vessels on the T2WIs.