Miracle-dz/UniFAR-FTUs huggingface dataset:
Exponential Synchronization of Cohen-Grossberg Neural Networks With Delays

This article analyzes exponential synchronization for a class of Cohen-Grossberg neural networks with time-varying delays. Firstly, according to the concept of synchronization, a controlled response system is constructed, and the error system is obtained. Secondly, by establishing suitable Lyapunov functions and using inequality techniques, sufficient conditions for exponential synchronization of the error system under different controllers are provided, and the exponential convergence rate of the system is given. Finally, two examples are used to verify the effectiveness of the theoretical results.
Initiating or switching to IDegAsp in a real-world South African population with type 2 diabetes – a cohort analysis from the ARISE study

Background: The ARISE study was a 26-week, multicentre, prospective, open-label, non-interventional observational study to investigate clinical outcomes in people with T2D treated with IDegAsp in everyday clinical practice. Objectives: To report results from the South African cohort of the ARISE study and compare them with those from the overall population. Design: Non-interventional observational study. Setting: General and specialist private practices. Subjects: Adults ≥ 18 years of age with a diagnosis of T2D could be included in the study if they had been switched to, or had initiated, IDegAsp at the discretion of the treating physician. The primary endpoint was change in HbA1c from baseline to end of study. Outcome measures: The primary endpoint was change in HbA1c from baseline to end of study. Results: Data were available from 179 patients. Prior to starting IDegAsp, the majority of the patients (76%) were already being treated with insulin therapy and the mean duration of follow-up was 210 days. The most commonly reported reasons for switching to IDegAsp were to improve glycaemic control (88.8%) and reduce the risk of hypoglycaemia (39.1%). In comparison with baseline values, mean HbA1c and fasting plasma glucose were significantly lower at end of study (8.4% vs. 9.6%; estimated mean difference −1.3% [95% confidence interval −1.6 to −1.1, p < 0.0001]; and 7.3 vs. 10.9 mmol/L; −3.5 mmol/L [−4.5 to −2.5, p < 0.0001], respectively). Improvement in glycaemic control after the switch to IDegAsp was achieved with lower daily insulin doses and less hypoglycaemia when compared with the time period prior to switch. Two patients discontinued IDegAsp due to adverse events. Conclusion: In this South African cohort, initiating or switching to IDegAsp was associated with improved glycaemic control, lower insulin dose requirements among patients already on insulin therapy, and significantly lower rates of non-severe (overall and nocturnal) and severe hypoglycaemia in comparison with previous therapy.
Role of AI and Radiomic Markers in Early Diagnosis of Renal Cancer and Clinical Outcome Prediction: A Brief Review

Simple Summary Renal cancer (RC) is ranked tenth among all types of cancer in men and women worldwide. Artificial intelligence (AI) and radiomics have allowed the development of AI-based computer-aided diagnostic/prediction (AI-based CAD/CAP) systems for noninvasive and precise diagnosis of RC and prediction of clinical outcome at an early stage. This, in turn, can conserve time, effort, and resources, ultimately benefiting both patients and healthcare providers. This review summarizes the studies from the last decade that used AI and radiomic markers for the early diagnosis of RC and prediction/assessment of clinical outcome/treatment response. Finally, a deep discussion, suggestions, and possible future avenues for improving diagnostic and treatment prediction performance is introduced, which might help fill the research gap. Abstract Globally, renal cancer (RC) is the 10th most common cancer among men and women. The new era of artificial intelligence (AI) and radiomics have allowed the development of AI-based computer-aided diagnostic/prediction (AI-based CAD/CAP) systems, which have shown promise for the diagnosis of RC (i.e., subtyping, grading, and staging) and prediction of clinical outcomes at an early stage. This will absolutely help reduce diagnosis time, enhance diagnostic abilities, reduce invasiveness, and provide guidance for appropriate management procedures to avoid the burden of unresponsive treatment plans. This survey mainly has three primary aims. The first aim is to highlight the most recent technical diagnostic studies developed in the last decade, with their findings and limitations, that have taken the advantages of AI and radiomic markers derived from either computed tomography (CT) or magnetic resonance (MR) images to develop AI-based CAD systems for accurate diagnosis of renal tumors at an early stage. The second aim is to highlight the few studies that have utilized AI and radiomic markers, with their findings and limitations, to predict patients’ clinical outcome/treatment response, including possible recurrence after treatment, overall survival, and progression-free survival in patients with renal tumors. The promising findings of the aforementioned studies motivated us to highlight the optimal AI-based radiomic makers that are correlated with the diagnosis of renal tumors and prediction/assessment of patients’ clinical outcomes. Finally, we conclude with a discussion and possible future avenues for improving diagnostic and treatment prediction performance.
Assessing the Effectiveness of Artificial Intelligence Models for Detecting Alveolar Bone Loss in Periodontal Disease: A Panoramic Radiograph Study

The assessment of alveolar bone loss, a crucial element of the periodontium, plays a vital role in the diagnosis of periodontitis and the prognosis of the disease. In dentistry, artificial intelligence (AI) applications have demonstrated practical and efficient diagnostic capabilities, leveraging machine learning and cognitive problem-solving functions that mimic human abilities. This study aims to evaluate the effectiveness of AI models in identifying alveolar bone loss as present or absent across different regions. To achieve this goal, alveolar bone loss models were generated using the PyTorch-based YOLO-v5 model implemented via CranioCatch software, detecting periodontal bone loss areas and labeling them using the segmentation method on 685 panoramic radiographs. Besides general evaluation, models were grouped according to subregions (incisors, canines, premolars, and molars) to provide a targeted evaluation. Our findings reveal that the lowest sensitivity and F1 score values were associated with total alveolar bone loss, while the highest values were observed in the maxillary incisor region. It shows that artificial intelligence has a high potential in analytical studies evaluating periodontal bone loss situations. Considering the limited amount of data, it is predicted that this success will increase with the provision of machine learning by using a more comprehensive data set in further studies.
Prevalence of Urinary Incontinence and its Relationship With Sociodemographic and Obstetrical Variables Among Omani Women

Objective Urinary incontinence (UI) is defined by the International Continence Society as any complaint of involuntary urine leakage. This research study highlights the prevalence, types, and associated factors of UI among women in Oman. Methodology A descriptive cross-sectional design was used to collect data using purposive sampling technique from 400 women between 20 and 60 years; who were attending outpatient department of a referral hospital in Oman. Women were assessed using the Questionnaire for Urinary Incontinence Diagnosis to determine the type of UI. The severity and the impact of UI in women were assessed using the female urinary tract symptoms module (ICIQ-UI-SF). Descriptive statistics were used to determine the prevalence and type of UI, and the Chi-square test was used to find the association between UI and sociodemographic and obstetrical variables. Results In our study, 28.25% of the women belonged to the age of 50–59 years. The point prevalence (per 1000) of UI among Omani women who were between 20 and 60 years was 44%. In the women who had UI, the majority were having stress UI (41.6%). In the women who had UI, the severity of UI, according to the ICIQ-UI-SF scoring, 15.2% of the women had slight, 50.3% had moderate, 33.1% had severe, and only 1.3% had very intense. Conclusion Understanding the prevalence of UI in every community and associated factors is essential for the policy makers and healthcare providers to consider the early diagnosis, prevention, health promotion, and management of UI.
THE INFLUENCE OF EMPLOYEE PROFESSIONALISM AND COMPETENCE IN IMPROVING THE QUALITY OF EMPLOYEE SERVICE ONE STOP INTEGRATED SERVICES, KEMBANGAN DISTRICT, WEST JAKARTA ADMINISTRATIVE CITY

Service is the most important aspect in public organizations and government. Some literature emphasizes that service quality can be improved through the professionalism and competence of employees. This study aims to analyze the effect of professionalism and employee competence on service quality at the One Stop Integrated Service, Kembangan District, West Jakarta Administrative City. This research method uses quantitative methods with multiple linear regression using SPSS. The results of the analysis show that the professionalism and competence of employees have a positive and significant effect on service quality. Furthermore, it was found that the most influential dimension of professionalism was effectiveness and the most influential dimension of employee competence was self-concept.
Final Report on Real-World Effectiveness of Sequential Afatinib and Osimertinib in EGFR-Positive Advanced Non–Small Cell Lung Cancer: Updated Analysis of the RESET Study

Purpose This study aimed to report the final analysis of time-on-treatment (TOT) and overall survival (OS) in patients with advanced-stage epidermal growth factor receptor (EGFR)+ non–small cell lung cancer (NSCLC) who received sequential afatinib and osimertinib and to compare the outcomes with other second-line regimens (comparator group). Materials and Methods In this updated report, the existing medical records were reviewed and rechecked. TOT and OS were updated and analyzed according to clinical features using the Kaplan-Meier method and log-rank test. TOT and OS were compared with those of the comparator group, in which most patients received pemetrexed-based treatments. A multivariable Cox proportional hazard model was used to evaluate features that could affect survival outcomes. Results The median observation time was 31.0 months. The follow-up period was extended to 20 months. A total of 401 patients who received first-line afatinib were analyzed (166 with T790M+ and second-line osimertinib, and 235 with unproven T790M and other second-line agents). Median TOTs on afatinib and osimertinib were 15.0 months (95% confidence interval [CI], 14.0 to 16.1) and 11.9 months (95% CI, 8.9 to 14.6), respectively. The median OS in the osimertinib group was 54.3 months (95% CI, 46.7 to 61.9), much longer than that in the comparator group. In patients who received osimertinib, the OS was longest with Del19+ (median, 59.1; 95% CI, 48.7 to 69.5). Conclusion This is one of the largest real-world studies reporting the encouraging activity of sequential afatinib and osimertinib in Asian patients with EGFR+ NSCLC who acquired the T790M mutation, particularly Del19+.
Investigation of Inter-Turn Short-Circuit Fault of PM Machines Using PWM Voltage-Based Modeling

This article aims to develop an analytical fault model based on PWM voltages for permanent magnet (PM) machines with inter-turn short-circuit (ITSC) faults. Using PWM voltage-based modeling is mainly because the PM machines are commonly driven by PWM inverters. This model is more accurate compared to the ones that use sinewave voltages as inputs as the latter neglect the PWM harmonics in the fault current. However, the investigation in this article showed that, depending on the dc bus voltage and switching frequency, the PWM harmonic component could be more than 50% of the fundamental component in the fault current, therefore, cannot be neglected. Based on this developed fault model, the characteristics of the fault current have been explored first, which revealed that the back electromotive forces (EMFs) mainly contribute to the fundamental component of the fault current, whilst the PWM voltages not only affect its fundamental component but also the PWM harmonics. Second, the factors such as dc bus voltage, switching frequency, number of short-circuited turns, and different coil connections affecting the PWM ripple components in the phase current and the fault current have also been investigated. Finally, the MATLAB/Simulink simulations based on the developed fault model have been fully validated by a series of tests.
Mitral and Tricuspid Valve Disease in Athletes

Observing mitral or tricuspid valve disease in an athlete raises many considerations for the clinician. Initially, the etiology must be clarified, with causes differing depending on whether the athlete is young or a master. Notably, vigorous training in competitive athletes leads to a constellation of structural and functional adaptations involving cardiac chambers and atrioventricular valve systems. In addition, a proper evaluation of the athlete with valve disease is necessary to evaluate the eligibility for competitive sports and identify those requiring more follow-up. Indeed, some valve pathologies are associated with an increased risk of severe arrhythmias and potentially sudden cardiac death. Traditional and advanced imaging modalities help clarify clinical doubts, allowing essential information about the athlete’s physiology and differentiating between primary valve diseases from those secondary to training-related cardiac adaptations. Remarkably, another application of multimodality imaging is evaluating athletes with valve diseases during exercise to reproduce the sport setting and better characterize the etiology and valve defect mechanism. This review aims to analyze the possible causes of atrioventricular valve diseases in athletes, focusing primarily on imaging applications in diagnosis and risk stratification.
Genetic Characterization Conferred Co-Resistance to Isoniazid and Ethionamide in Mycobacterium tuberculosis Isolates from Southern Xinjiang, China

Background Ethionamide (ETH), a structural analogue of isoniazid (INH), is used for treating multidrug-resistant tuberculosis (MDR-TB). Due to the common target InhA, INH and ETH showed cross-resistance in M. tuberculosis. This study aimed to explore the INH and ETH resistant profiles and genetic mutations conferring independent INH- or ETH-resistance and INH-ETH cross-resistance in M. tuberculosis circulating in south of Xinjiang, China. Methods From Sep 2017 to Dec 2018, 312 isolates were included using drug susceptibility testing (DST), spoligotyping, and whole genome sequencing (WGS) to analyze the resistance characteristics for INH and/or ETH. Results Among the 312 isolates, 185 (58.3%) and 127 (40.7%) belonged to the Beijing family and non-Beijing family, respectively; 90 (28.9%) were INH-resistant (INHR) with mutation rates of 74.4% in katG, 13.3% in inhA and its promoter, 11.1% in ahpC and its upstream region, 2.2% in ndh, 0.0% in mshA, whilst 34 (10.9%) were ETH-resistant (ETHR) with mutation rates of 38.2% in ethA, 26.2% in inhA and its promoter, and 5.9% in ndh, 0.0% in ethR or mshA; and 25 (8.0%) were INH-ETH co-resistant (INHRETHR) with mutation rates of 40.0% in inhA and its promoter, and 8% in ndh. katG mutants tended to display high-level resistant to INH; and more inhA and its promoter mutants showed low-level of INH and ETH resistance. The optimal gene combinations by WGS for the prediction of INHR, ETHR, and INHRETHR were, respectively, katG+inhA and its promoter (sensitivity: 81.11%, specificity: 90.54%), ethA+inhA and its promoter+ndh (sensitivity: 61.76%, specificity: 76.62%), and inhA and its promoter+ndh (sensitivity: 48.00%, specificity: 97.65%). Conclusion This study revealed the high diversity of genetic mutations conferring INH and/or ETH resistance among M. tuberculosis isolates, which would facilitate the study on INHR and/or ETHR mechanisms and provide clues for choosing ETH for MDR treatment and molecular DST methods in south of Xinjiang, China.
Relationship between hematologic parameters related to systemic inflammation and insulin resistance-associated metabolic parameters in women with polycystic ovary syndrome

Objective The aim of the present study was to evaluate the associations between hematologic parameters related to systemic inflammation and insulin resistance-associated metabolic parameters in women with polycystic ovary syndrome (PCOS). Methods Eighty-two women between the ages of 18 and 35 years who were diagnosed with PCOS were included in this study. A 2-hour 75-g oral glucose tolerance test (OGTT) was administered to all study participants; fasting and postprandial glucose and insulin levels were measured simultaneously during the 2-hour OGTT. Hematologic parameters were derived from a standard complete blood count and a differential count of fasting-state blood samples. The correlations between hematologic parameters and insulin resistance-associated clinical and metabolic parameters were evaluated using the Spearman rank correlation and partial correlation coefficients. Hematologic parameters related to systemic inflammation were compared between the two groups, categorized by the presence or absence of insulin resistance. Results Significant differences in the absolute neutrophil count, absolute monocyte count, platelet count, and neutrophil-lymphocyte ratio were found between the insulin-resistant group and insulin-nonresistant group. Correlation analysis found that all hematological parameters, except for the platelet-lymphocyte ratio, were associated with at least one insulin resistance-associated metabolic parameter. However, these significant correlations between hematological and metabolic parameters were attenuated after controlling for the effects of other covariates using partial correlation analysis. Conclusion The association between hematologic parameters indicative of systemic inflammation and insulin resistance-associated metabolic parameters seems to be strongly influenced by other anthropometric covariates in women with PCOS.
Topological order in a broken-symmetry state

In this thesis we will revisit the different steps that led to the discovery of the topological insulator before we then ask the question if a topologically non-trivial phase can coexist with a broken symmetry state. We will see the most important concepts in describing this new state of matter, and we will try to understand what its fascinating consequences are. This field of research is heavily driven by theory, therefore taking first a look at the underlying theoretical framework, will enable us to gain a deeper understanding of the subject. In Chapter 1 we will review the quantum Hall effect to motivate the subject. Chapter 2 deals with the first realization of a two-dimensional topological insulator in a HgTe/CdTe quantum well and then generalizes these results to 3 dimensions. We will also see how one can incorporate principles of topology to characterize a specific system with the use of topological invariants. Chapter 3 will introduce the first derivative of the topological insulator state, the antiferromagnetic topological insulator (AFTI). After theoretically motivating the subject and introducing a proper invariant for this new AFTI phase that is coupled to the Néel order, we will then investigate in Chapters 4 and 5, two prime candidates for the AFTI phase; GdBiPt and NdBiPt.
Assessment of Mould Risk in Low-Cost Residential Buildings in Urban Slum Districts of Surakarta City, Indonesia

Prolonged exposure to indoor dampness in dwellings triggers excessive mould, causing health problems for residents and damage to building structures. This study investigated dampness and mould growth in low-cost dwellings in the slum districts of Surakarta, Indonesia. A VTT mould growth model predicted mould risk in 17 dwellings by employing a set of time-series data of indoor air temperature and relative humidity (RH). Interviews were conducted with 11 houses to understand the residents’ perceptions and lifestyles related to mould risk. The daily average dampness (RH > 80%) ranged from 2.2 to 12.3 h. Low-cost dwellings with plywood board walls had a high risk of cumulative mould growth. Statistical correlation analysis revealed that volumetric heat capacity was significantly positively correlated with mould growth at higher percentiles (75th and 97.5th). Thus, dwellings with smaller volumes and plywood board walls were more susceptible to moulding. Moreover, the majority of the participants expressed dissatisfaction with indoor air quality owing to the presence of unpleasant odours from sewage and dampness, which coincided with their perception of inadequate air ventilation. This study provides a reference for developing standard guidelines for building and upgrading dwellings in Indonesia, focusing on assessing and mitigating mould risks and ensuring moisture safety.
The Fe9+ region in active galactic nuclei

On presente les donnees spectroscopiques a des resolutions de 1 A ou mieux, incluant la raie [FeX] λ 6374 A, pour 29 galaxies de Seyfert. La detection de [FeX] est certaine ou probable pour 12 galaxies. L'intensite de cette raie et de [FeXI] λ 7892 est en correlation avec celles des raies [FeVII] et [OIII], suggerant que les ions Fe 9+ et Fe 10+ sont photoionises
Awaken Immune Cells by Hapten Enhanced Intratumoral Chemotherapy with Penicillin Prolong Pancreatic Cancer Survival

Intratumoral immunotherapy is well studied and is ongoing, but few studies have evaluated the relationship between of cytotoxic drugs intratumoral injection (CDI) and hapten-enhanced cytotoxic drugs intratumoral injection (HECDI) and patient survival. The objectives of this study include comparisons to explore possible associations between the proportions of treatment-induced cytokines and autologous antibodies to tumor-associated antigens (TAAs) and the relative size of the abscopal effects concurring. CDIs contain oxidant and cytotoxic drugs, HECDIs contains the same drug plus penicillin as the new Hapten. Of the 33 patients with advanced pancreatic cancer, 9 received CDI, 20 received HECDI, and 4 (control group) received placebo. Serum levels of cytokines and autoantibodies of TAAs were detected and compared after therapy. The 1-year survival rate was 11.11% for CDI and 52.63% for HECDI (P= 0.035). In the general analysis of cytokines, HECDI exhibited an increasing level of IFN-γ and IL-4, and the non-hapten CDI showed a rising level of IL-12 (P = 0.125, 0.607, & 0.04). Participants who did not receive chemotherapy had significant differences in the level of Zeta autoantibody only before and after HECDI; However, IMP1 levels in patients with previous chemotherapy experience were significantly different before and after HECDI and CDI treatment (P≤0.05, P = 0.316). After HECDI treatment, TAA autoantibodies of RalA, Zeta, HCC1, p16 increased (P = 0.429, 0.416, 0.042, 0.112). The elevated levels of CXCL8, IFN-γ, HCC1, RalA, Zeta, and p16 observed in HECDI may be attributed to the abscopal effect (P = 0.012 & 0.013). Overall survival rates indicated that HECDI treatment extended participants' lives.