Towards improving aspect-oriented software reusability estimation.

Nowadays, large numbers of organizations may opt for Aspect-Oriented Programming (AOP), which is an enhancement to Object-Oriented Programming (OOP). This is due to the addition of a number of concepts that have assisted in the production of more flexible and reusable components. One of the most important elements added by AOP is software reuse, which is based on reusability attributes. These attributes indicate the possibility of reusing one or more components in the development of a new system. It is one of the most essential attributes to evaluate the quality of a system's components. Thus far, little attention has been paid to the process of measuring AOP reusability, and it has not yet been standardized. The objective of the current study is to come up with a reasonable measurement for AOP software reuse, which is simultaneously a significant topic for researchers while offering several advantages for organizations. Although numerous models have been built to estimate the reusability of software, most of them are not dedicated to Aspect-Oriented Software (AOS). In this study, a model has been designed for AOS reusability estimation and measurement based on a new equation depending on five attributes that have a range of positive and negative impacts on AOS reusability. Three of those attributes, namely coupling, cohesion, and design size, have been included in previous studies. This study proposes complexity and generality as two new attributes to be considered. Each of these attributes was measured based on the metrics also proposed in this study. A new equation to calculate AOS reusability was constructed based on the most important reusability attributes and metrics. Seven aspect projects were employed as a case study to apply the proposed equation. After the proposed equation was applied to the selected projects, we obtained new values of reusability to compare with the values that resulted from applying the previous equation. The fact that new values emerged indicates that the proposed reusability metrics and attributes had a significant effect.

Brace-related Stress and Quality of Life Parameters between Chêneau and Boston Braces: A Cross-sectional Comparative Study on Adolescent Idiopathic Scoliosis in Saudi Arabia.

OBJECTIVE: Adolescent idiopathic scoliosis (AIS) is the most prevalent spinal deformity affecting healthy children. Although AIS typically lacks symptomatic manifestations, its resultant deformities can affect patients' quality of life (QoL). Evaluating QoL and stress levels is crucial in determining the optimal brace type for AIS patients; however, research comparing the effectiveness of different brace types in this regard is lacking. Therefore, this study aimed to evaluate the impact of Boston versus Chêneau braces on QoL and stress levels in AIS patients. METHODS: This cross-sectional study was conducted at a medical institution in Riyadh, Saudi Arabia, involving 52 eligible patients selected through stratified random sampling based on type of brace as the main stratum. The inclusion criteria were idiopathic scoliosis, age ≥ 10 years, bracing for at least 3 months, and no history of cancer. QoL was evaluated according to the revised Scoliosis Research Society 22-item questionnaire (SRS-22r) and stress levels according to the eight-item Bad Sobernheim stress questionnaire (BSSQ-Brace). Independent-sample t-tests were used to compare brace-related QoL and stress level according to participants' sex and brace type. RESULTS: Overall, 32 participants were treated with Boston braces (seven men and 25 women), with a median (IQR) age of 11.00 years (10.00-13.00), and 20 participants were treated with Chêneau braces (three men, 17 women), with a median (IQR) age of 12.50 years (10.00-14.25). The total SRS-22 score was not significantly different between the brace groups (p = 0.158). However, patients in the Boston brace group reported significantly higher satisfaction levels (median = 4.00, IQR = 3.50-4.50) than did those in the Chêneau brace group (median = 3.25, IQR = 2.38-4.13, p = 0.013, moderate effect size = 0.345, 95% CI = 0.060 to 0.590). Furthermore, the BSSQ-brace total score was significantly higher in the Boston brace group (median = 9.00, IQR = 8.00-12.00) than in the Chêneau brace group (median = 7.50, IQR = 4.75-10.00, p = 0.007, moderate effect size = 0.376, 95% CI = 0.130 to 0.590), indicating higher stress levels in the Chêneau brace group. CONCLUSION: The QoL in AIS patients undergoing brace treatment was comparable across groups. Nonetheless, patients who used Chêneau braces experienced higher stress levels and lower treatment satisfaction rates than did those who used Boston braces. These findings can inform clinical decisions regarding prescription of bracing types and highlight the need for further in-depth research.

Weight reduction among females undergoing laparoscopic ventral hernia repair: The role of Calcium and Vitamin D3.

Objective: To evaluate the role of Vitamin-D and calcium supplementation on preoperative weight reduction in obese women before laparoscopic ventral hernia repair. Methods: This double-blind clinical trial was conducted at the affiliated health centers of King Faisal University, Al-Ahsa, Saudi Arabia from January 2021 to December 2021. It included forty-five obese women aged 24-56 years, with body mass index (BMI) of 34.0-48.0kg/m2. They were randomly allocated into two groups; the Group-A (N=22) included obese women who received supplementation of 5000IU cholecalciferol (Vitamin-D3), and 1000mg calcium daily for 12 months, while the Group-B (N=23) received no treatment. Measurement of change in weight and BMI and comparison of their pre-operative weight reduction, laparoscopic operative time, and length of hospital stay was done. Results: There were no differences in patients' biographic data between the two groups. During the study, Vitamin-D level in the patients increased and there was a significant positive association with weight loss. In group-A, the mean weight loss was 11.8±3.5 kg. At the end of first year, their BMI decreased from 36.1±1.6kg/m2 at baseline to 29.7±2.6 kg/m2, whereas in-group-B, the mean weight loss was 6.8±3.1 kg and their BMI decreased from 36.9±2.69kg/m2 at baseline to 32.7±0.93kg/m2. The operation time and the length of hospital stay were shorter in group-A (107 vs.128.min) and (3 vs. 5 days) respectively as compared to Group-B. Conclusion: Vitamin-D and calcium supplementation contributes to a remarkable weight reduction of preoperative obese female patients, which in turn is associated with significantly better outcome of laparoscopic repair of ventral hernia.

Azimuthal Angle Correlations of Muons Produced via Heavy-Flavor Decays in 5.02 TeV Pb+Pb and pp Collisions with the ATLAS Detector.

Angular correlations between heavy quarks provide a unique probe of the quark-gluon plasma created in ultrarelativistic heavy-ion collisions. Results are presented of a measurement of the azimuthal angle correlations between muons originating from semileptonic decays of heavy quarks produced in 5.02 TeV Pb+Pb and pp collisions at the LHC. The muons are measured with transverse momenta and pseudorapidities satisfying p_{T}^{µ}>4 GeV and |η^{µ}|<2.4, respectively. The distributions of azimuthal angle separation Δϕ for muon pairs having pseudorapidity separation |Δη|>0.8, are measured in different Pb+Pb centrality intervals and compared to the same distribution measured in pp collisions at the same center-of-mass energy. Results are presented separately for muon pairs with opposite-sign charges, same-sign charges, and all pairs. A clear peak is observed in all Δϕ distributions at Δϕ∼π, consistent with the parent heavy-quark pairs being produced via hard-scattering processes. The widths of that peak, characterized using Cauchy-Lorentz fits to the Δϕ distributions, are found to not vary significantly as a function of Pb+Pb collision centrality and are similar for pp and Pb+Pb collisions. This observation will provide important constraints on theoretical descriptions of heavy-quark interactions with the quark-gluon plasma.

Characterization and validation of a spontaneous acute and protracted oxycodone withdrawal model in male and female mice.

Opioid use disorder (OUD) is a serious health problem that may lead to physical dependence, in addition to affective disorders. Preclinical models are essential for studying the neurobiology of and developing pharmacotherapies to treat these problems. Historically, chronic morphine injections have most often been used to produce opioid-dependent animals, and withdrawal signs indicative of dependence were precipitated by administering an opioid antagonist. In the present studies, we have developed and validated a model of dependence on oxycodone (a widely prescribed opioid) during spontaneous withdrawal in male and female C57BL/6J mice. Dependence was induced by chronically administering oxycodone through osmotic minipumps at different doses for 7 days. Somatic withdrawal signs were measured after 3, 6, 24, and 48 h following minipump removal. Additionally, sensitivity to mechanical, thermal, and cold stimuli, along with anxiety-like behavior, were also measured. Our results indicated that spontaneous withdrawal following discontinuation of oxycodone produced an increase in total withdrawal signs after 60 and 120 mg/kg/day regimens of oxycodone administration. These signs were reversed by the administration of clinically approved medications for OUD. In general, both female and male mice showed similar profiles of somatic signs of spontaneous withdrawal. Spontaneous withdrawal also resulted in mechanical and cold hypersensitivity lasting for 24 and 14 days, respectively, and produced anxiety-like behaviors after 2 and 3 weeks following oxycodone removal. These results help validate a new model of oxycodone dependence, including the temporally distinct emergence of somatic, hyperalgesic, and anxiety-like behaviors, potentially useful for mechanistic and translational studies of opioid dependence.

Stroke in Qatar: a decade of insights from a national registry.

BACKGROUND: Stroke is a major cause of death and disability worldwide and presents a significant burden on healthcare systems. This retrospective study aims to analyze the characteristics and outcomes of stroke patients admitted to Hamad General Hospital (HGH) stroke service in Qatar from January 2014 to July 2022. METHODS: The medical records of 15,859 patients admitted during the study period were analyzed. The data collected included patient demographics, stroke types, admission location, procedures performed, mortality rates, and other clinical characteristics. RESULTS: Of the total cohort, 70.9% were diagnosed with a stroke, and 29.1% were diagnosed with stroke mimics. Of the stroke patients, 85.3% had an ischemic stroke, and 14.7% had a hemorrhagic stroke. Male patients below 65 years old (80.2%) and of South Asian ethnicity (44.6%) were the most affected. The mortality rate was 4.6%, significantly higher for hemorrhagic stroke than ischemic stroke (12.6% vs. 3.2%). Female patients had a higher stroke-related mortality rate than male patients (6.8% vs. 4%). The thrombolysis rate was 9.5%, and the thrombectomy rate was 3.4% of the ischemic stroke cohort. The mean door-to-needle time for thrombolysis was 61.2 minutes, and the mean door-to-groin time for thrombectomy was 170 minutes. Stroke outcomes were good, with 59.3% of patients having favorable outcomes upon discharge (mRS ≤2), which improved to 68.2% 90 days after discharge. CONCLUSION: This study provides valuable insights into stroke characteristics and outcomes in Qatar. The findings suggest that stroke mortality rates are low, and favorable long-term disability outcomes are achievable. However, the study identified a higher stroke-related mortality rate among female patients and areas for improvement in thrombolysis and thrombectomy time.

Non-Enzymatic Glucose Sensors Composed of Polyaniline Nanofibers with High Electrochemical Performance.

The measurement of glucose concentration is a fundamental daily care for diabetes patients, and therefore, its detection with accuracy is of prime importance in the field of health care. In this study, the fabrication of an electrochemical sensor for glucose sensing was successfully designed. The electrode material was fabricated using polyaniline and systematically characterized using scanning electron microscopy, high-resolution transmission electron microscopy, X-ray diffraction, Fourier transform infrared spectroscopy, and UV-visible spectroscopy. The polyaniline nanofiber-modified electrode showed excellent detection ability for glucose with a linear range of 10 µM to 1 mM and a detection limit of 10.6 µM. The stability of the same electrode was tested for 7 days. The electrode shows high sensitivity for glucose detection in the presence of interferences. The polyaniline-modified electrode does not affect the presence of interferences and has a low detection limit. It is also cost-effective and does not require complex sample preparation steps. This makes it a potential tool for glucose detection in pharmacy and medical diagnostics.

Search for Nearly Mass-Degenerate Higgsinos Using Low-Momentum Mildly Displaced Tracks in pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector.

Higgsinos with masses near the electroweak scale can solve the hierarchy problem and provide a dark matter candidate, while detecting them at the LHC remains challenging if their mass splitting is O(1 GeV). This Letter presents a novel search for nearly mass-degenerate Higgsinos in events with an energetic jet, missing transverse momentum, and a low-momentum track with a significant transverse impact parameter using 140 fb^{-1} of proton-proton collision data at sqrt[s]=13 TeV collected by the ATLAS experiment. For the first time since LEP, a range of mass splittings between the lightest charged and neutral Higgsinos from 0.3 to 0.9 GeV is excluded at 95% confidence level, with a maximum reach of approximately 170 GeV in the Higgsino mass.

Noninvasive Ventilation in Critically Ill Patients With Severe Acute Respiratory Infections.

BACKGROUND: The objective of this study was to evaluate the association between noninvasive ventilation (NIV) compared with invasive ventilation and mortality in subjects with severe acute respiratory infection. METHODS: This was a retrospective multi-center study of subjects with severe acute respiratory infection treated with ventilatory support between September 2012 and June 2018. We compared the 90-d mortality of subjects managed initially with NIV (NIV group) with those managed with invasive ventilation only (invasive ventilation group), adjusting by propensity score. RESULTS: Of 383 subjects, 189 (49%) were in the NIV group and 194 (51%) were in the invasive ventilation group. Of the subjects initially treated with NIV, 117 (62%) were eventually intubated. Crude 90-d mortality was lower in the NIV group versus the invasive ventilation group (42 [22.2%] vs 77 [39.7%]; P < .001). After propensity score adjustment, NIV was associated with lower 90-d mortality than invasive ventilation (odds ratio 0.54, 95% CI 0.38-0.76; P < .001). The association of NIV with mortality compared with invasive ventilation was not different across the studied subgroups. CONCLUSIONS: In subjects with severe acute respiratory infection and acute respiratory failure, NIV was commonly used. NIV was associated with a lower 90-d mortality. The observed high failure rate suggests the need for further research to optimize patient selection and facilitate early recognition of NIV failure.

Combination of Searches for Resonant Higgs Boson Pair Production Using pp Collisions at sqrt[s]=13 TeV with the ATLAS Detector.

A combination of searches for a new resonance decaying into a Higgs boson pair is presented, using up to 139 fb^{-1} of pp collision data at sqrt[s]=13 TeV recorded with the ATLAS detector at the LHC. The combination includes searches performed in three decay channels: bb[over ¯]bb[over ¯], bb[over ¯]τ^{+}τ^{-}, and bb[over ¯]γγ. No excess above the expected Standard Model background is observed and upper limits are set at the 95% confidence level on the production cross section of Higgs boson pairs originating from the decay of a narrow scalar resonance with mass in the range 251 GeV-5 TeV. The observed (expected) limits are in the range 0.96-600 fb (1.2-390 fb). The limits are interpreted in the type-I two-Higgs-doublet model and the minimal supersymmetric standard model, and constrain parameter space not previously excluded by other searches.

The tumor microbiome reacts to hypoxia and can influence response to radiation treatment in colorectal cancer.

Tumor hypoxia has been shown to predict poor patient outcomes in several cancer types, partially because it reduces radiation's ability to kill cells. We hypothesized that some of the clinical effects of hypoxia could also be due to its impact on the tumor microbiome. Therefore, we examined the RNA-seq data from the Oncology Research Information Exchange Network (ORIEN) database of colorectal cancer (CRC) patients treated with radiotherapy. We identified microbial RNAs for each tumor and related them to the hypoxic gene expression scores calculated from host mRNA. Our analysis showed that the hypoxia expression score predicted poor patient outcomes and identified tumors enriched with certain microbes such as Fusobacterium nucleatum. The presence of other microbes, such as Fusobacterium canifelinum, predicted poor patient outcomes, suggesting a potential interaction between hypoxia, the microbiome, and radiation response. To experimentally investigate this concept, we implanted CT26 CRC cells into immune-competent BALB/c and immune-deficient athymic nude mice. After growth, where tumors passively acquired microbes from the gastrointestinal tract, we harvested tumors, extracted nucleic acids, and sequenced host and microbial RNAs. We stratified tumors based on their hypoxia score and performed a metatranscriptomic analysis of microbial gene expression. In addition to hypoxia-trophic and -phobic microbial populations, analysis of microbial gene expression at the strain level showed expression differences based on the hypoxia score. Thus, hypoxia appears to associate with different microbial populations and elicit an adaptive transcriptional response in intratumoral microbes, potentially influencing clinical outcomes.

Fungal Bioremediation of the ß-Lactam Antibiotic Ampicillin under Laccase-Induced Conditions.

Due to widespread overuse, pharmaceutical compounds, such as antibiotics, are becoming increasingly prevalent in greater concentrations in aquatic ecosystems. In this study, we investigated the capacity of the white-rot fungus, Coriolopsis gallica (a high-laccase-producing fungus), to biodegrade ampicillin under different cultivation conditions. The biodegradation of the antibiotic was confirmed using high-performance liquid chromatography, and its antibacterial activity was evaluated using the bacterial growth inhibition agar well diffusion method, with Escherichia coli as an ampicillin-sensitive test strain. C. gallica successfully eliminated ampicillin (50 mg L-1) after 6 days of incubation in a liquid medium. The best results were achieved with a 9-day-old fungal culture, which treated a high concentration (500 mg L-1) of ampicillin within 3 days. This higher antibiotic removal rate was concomitant with the maximum laccase production in the culture supernatant. Meanwhile, four consecutive doses of 500 mg L-1 of ampicillin were removed by the same fungal culture within 24 days. After that, the fungus failed to remove the antibiotic. The measurement of the ligninolytic enzyme activity showed that C. gallica laccase might participate in the bioremediation of ampicillin.

Neonatal COVID-19 treatment: Are there new chances?

Coronavirus disease 2019 (COVID-19) is considered an infectious disease which is caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Neonatal COVID-19 had been occurred in many countries which would indicate the need of effective and safe treatment for these vulnerable group. In this study, we showed symptoms of corona virus in neonates, investigation of coronavirus in neonates and radiological features of neonatal COVID-19. In addition, we discussed management of neonates with COVI-19, antiviral treatment, monoclonal antibodies administration, immunomodulatory therapy, antibiotics, vitamins, and minerals in the treatment of neonatal COVID-19, and also telemedicine in neonatal COVID-19 and feeding the newborn of COVID-19 mother. We also discussed multisystem inflammatory syndrome in neonates (MIS-N), management of affected COVID-19 neonates and discussion of the complication of the neonatal COVID-19. We further discussed the methods of dealing with COVID-19 neonates and the research done on the neonatal COVID-19 treatment.

Provision of sexual health education in secondary schools: A multidisciplinary lens of stakeholders in southern highlands, Tanzania.

Introduction: School-based sexual health education reduces risky sexual outcomes for in-school adolescents such as unintended premarital pregnancies, unsafe abortions, increased risk of contracting sexually transmitted infections (STIs) including HIV and AIDS, early parenthood, a massive dropout from schools and untimely deaths. Despite the teaching of sexual health education in secondary schools, adolescents in Iringa Region are being exposed to increasing risks of sexual behaviours such as premarital sex, multiple sexual partners, and unprotected sex. This study examines stakeholders' attitudes and beliefs toward providing sexual health education in secondary schools in Iringa Region, Tanzania. Methods: A qualitative approach under cross-sectional design was used. A purposive sampling technique was applied in selecting the Districts and participants for the study while simple random was used in the selection of schools. The participants were purposively selected depending on their position and knowledge of the subject matter. This study had 50 participants in total, 36 of them were teachers (6 from each school) who participated in focus group discussions (FGDs). After that, in-depth interviews with 14 participants were also conducted including 6 headmasters/mistresses, 6 healthcare professionals and 2 District secondary education officers. All FGDs and in-depth interviews used standardized questions to elicit information. The collected data were audio-recorded through tape recorders, transcribed, and translated into English. An initial coding matrix was developed and refined throughout the coding process. Transcripts were coded and analyzed using the content analysis approach. Results: Findings from this study revealed all stakeholders having positive attitudes toward the provision of sexual health education in secondary schools. Results also revealed participants in favour of adolescents being taught several topics except for homosexuality. Findings on the appropriate age to start learning sexual health education revealed participants having trouble in fixing the right age, however, they said, at least 5 through 10 years before a child initiates sexual activity. Conclusion: The study concludes that stakeholders in the study areas have a positive attitude towards the provision of sexual health education in secondary schools and want students to be taught a wide range of topics before they initiate sexual activity. It is recommended that age-appropriate comprehensive sexuality education be given to teenagers to provide them with the knowledge they need to make informed decisions about their sexuality. This requires concerted efforts from the school, government and community involvement in the provision of sexual health education to in-school adolescents.

Dental malpractice lawsuit in the madinah region.

Background: The number of reports of dental malpractice cases has been increasing in recent years. The purpose of this study was to assess the data and outcomes related to dental malpractice claims in Madina City, Saudi Arabia. Methods: This study conducts a retrospective study of dental malpractice claims in Madina city, Saudi Arabia assessing 97 cases of dental malpractice claims from the year 2016 to 2022. Results: the study showed that the highest percentage of cases (29.9%) were reported guilty in the year 2021. with the highest number of claims (30%) related to the prosthodontic specialty. Most of the cases were against general practitioners (64.9%). Most of the cases (71.1%) lacked signed informed consent. Conclusion: To decrease the number of dental claims, valuing specialties and obtaining informed consent should be considered by all dentists.

In Silico Elucidation of Key Drivers of Staphyloccocus aureus-Staphyloccocus epidermidis-Induced Skin Damage in Atopic Dermatitis Lesions.

Staphylococcus aureus (SA) colonizes and can damage skin in atopic dermatitis lesions, despite being commonly found with Staphylococcus epidermidis (SE), a commensal that can inhibit SA's virulence and kill SA. In this study, we developed an in silico model, termed a virtual skin site, describing the dynamic interplay between SA, SE, and the skin barrier in atopic dermatitis lesions to investigate the mechanisms driving skin damage by SA and SE. We generated 106 virtual skin sites by varying model parameters to represent different skin physiologies and bacterial properties. In silico analysis revealed that virtual skin sites with no skin damage in the model were characterized by parameters representing stronger SA and SE growth attenuation than those with skin damage. This inspired an in silico treatment strategy combining SA-killing with an enhanced SA-SE growth attenuation, which was found through simulations to recover many more damaged virtual skin sites to a non-damaged state, compared with SA-killing alone. This study demonstrates that in silico modelling can help elucidate the key factors driving skin damage caused by SA-SE colonization in atopic dermatitis lesions and help propose strategies to control it, which we envision will contribute to the design of promising treatments for clinical studies.

Unraveling the Complexity: Ehrlichiosis-Induced Septic Shock and Acute Respiratory Distress Syndrome.

Human monocytic ehrlichiosis typically presents with nonspecific cold-like symptoms and a history of recent tick exposure, often responding well to early treatment. Here, we present the case of a 67-year-old immunocompetent male who initially presented with fevers, chills, dysuria, and hematuria, leading to admission to the intensive care unit with septic shock and acute respiratory distress syndrome (ARDS), which was later attributed to Ehrlichia chaffeensis infection. Prompt treatment with doxycycline resulted in a full clinical recovery. This case highlights the rare occurrence of severe ehrlichiosis and provides insights into its effective management based on updated literature.

Influence of Varying Oil-Water Contents on the Formation of Crude Oil Emulsion and Its Demulsification by a Lab-Grown Nonionic Demulsifier.

This study describes how varying oil/water contents affect emulsion formation and the impact they have on emulsion droplet size, viscosity, and interfacial behavior. Crude oil (continuous phase) volume fractions of 40, 50, 60, and 70 vol % were probed in the various W/O emulsions formed. Experimental results from optical morphology revealed the emulsion droplets kept reducing as the crude oil fraction kept increasing, while the droplets were nearly unnoticeable in the emulsions derived from 60 and 70% crude oil. The viscosity-shear rate of emulsions produced from 40, 50, and 60 vol % crude oil exhibited a non-Newtonian behavior owing to the substantial volume of water content in their emulsions, whereas the viscosity-shear rate of the emulsion with 70 vol % crude oil exhibited a Newtonian behavior similar to the pure crude oil, suggesting a thorough blending of oil-water at this crude oil fraction. Besides, the viscosity-temperature measurements revealed that the viscosity of these emulsions diminished as the temperature increased and the viscosity reduction became more noticeable in an emulsion comprising 70 vol % crude oil. In the interfacial assessment, the increased crude oil content in the produced emulsion led to a sharp reduction in the interfacial tension (IFT). The IFT values after 500 s contacts between the emulsion and water (surrounding phase) were 11.86, 10.02, 8.08, and 6.99 mN/m for 40, 50, 60, and 70 vol % crude oil, respectively. Demulsification experiments showed that water removal becomes more challenging with a large volume of crude oil and a small water content. Demulsification performances of the lab-grown nonionic demulsifier (NID) after 10 h of demulsification activity at room temperature (25 °C) were 98, 90, 17.5, and 10% for the emulsions formed from 40, 50, 60, and 70 vol % crude oil, respectively, indicating that the demulsification degree decreases with an increasing crude oil content. Viscosity-time determination was applied to affirm the activity of NID on the emulsion formulated with a 50% crude oil fraction. The injection of NID in this emulsion triggered a sharp viscosity reduction, indicating the adsorption of NID at the oil-water interface and disruption of emulsifiers, enabling emulsion stability.

Utilizing machine learning to facilitate the early diagnosis of posterior circulation stroke.

BACKGROUND: Posterior Circulation Syndrome (PCS) presents a diagnostic challenge characterized by its variable and nonspecific symptoms. Timely and accurate diagnosis is crucial for improving patient outcomes. This study aims to enhance the early diagnosis of PCS by employing clinical and demographic data and machine learning. This approach targets a significant research gap in the field of stroke diagnosis and management. METHODS: We collected and analyzed data from a large national Stroke Registry spanning from January 2014 to July 2022. The dataset included 15,859 adult patients admitted with a primary diagnosis of stroke. Five machine learning models were trained: XGBoost, Random Forest, Support Vector Machine, Classification and Regression Trees, and Logistic Regression. Multiple performance metrics, such as accuracy, precision, recall, F1-score, AUC, Matthew's correlation coefficient, log loss, and Brier score, were utilized to evaluate model performance. RESULTS: The XGBoost model emerged as the top performer with an AUC of 0.81, accuracy of 0.79, precision of 0.5, recall of 0.62, and F1-score of 0.55. SHAP (SHapley Additive exPlanations) analysis identified key variables associated with PCS, including Body Mass Index, Random Blood Sugar, ataxia, dysarthria, and diastolic blood pressure and body temperature. These variables played a significant role in facilitating the early diagnosis of PCS, emphasizing their diagnostic value. CONCLUSION: This study pioneers the use of clinical data and machine learning models to facilitate the early diagnosis of PCS, filling a crucial gap in stroke research. Using simple clinical metrics such as BMI, RBS, ataxia, dysarthria, DBP, and body temperature will help clinicians diagnose PCS early. Despite limitations, such as data biases and regional specificity, our research contributes to advancing PCS understanding, potentially enhancing clinical decision-making and patient outcomes early in the patient's clinical journey. Further investigations are warranted to elucidate the underlying physiological mechanisms and validate these findings in broader populations and healthcare settings.

Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.

Background and Objectives: Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypertension, and diabetes mellitus (DM) are common among HF patients, as they share similar risk factors. This study aimed to identify the prognostic significance of multiple factors and their correlation with disease prognosis and outcomes in a Jordanian cohort. Materials and Methods: Data from the Jordanian Heart Failure Registry (JoHFR) were analyzed, encompassing medical records from acute and chronic HF patients attending public and private cardiology clinics and hospitals across Jordan. An online form was utilized for data collection, focusing on three kidney function tests, estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN), and creatinine levels, with the eGFR calculated using the Cockcroft-Gault formula. We also built six machine learning models to predict mortality in our cohort. Results: From the JoHFR, 2151 HF patients were included, with 644, 1799, and 1927 records analyzed for eGFR, BUN, and creatinine levels, respectively. Age negatively impacted all measures (p ≤ 0.001), while smokers surprisingly showed better results than non-smokers (p ≤ 0.001). Males had more normal eGFR levels compared to females (p = 0.002). Comorbidities such as hypertension, diabetes, arrhythmias, and implanted devices were inversely related to eGFR (all with p-values <0.05). Higher BUN levels were associated with chronic HF, dyslipidemia, and ASCVD (p ≤ 0.001). Higher creatinine levels were linked to hypertension, diabetes, dyslipidemia, arrhythmias, and previous HF history (all with p-values <0.05). Low eGFR levels were associated with increased mechanical ventilation needs (p = 0.049) and mortality (p ≤ 0.001), while BUN levels did not significantly affect these outcomes. Machine learning analysis employing the Random Forest Classifier revealed that length of hospital stay and creatinine >115 were the most significant predictors of mortality. The classifier achieved an accuracy of 90.02% with an AUC of 80.51%, indicating its efficacy in predictive modeling. Conclusions: This study reveals the intricate relationship among kidney function tests, comorbidities, and clinical outcomes in HF patients in Jordan, highlighting the importance of kidney function as a predictive tool. Integrating machine learning models into clinical practice may enhance the predictive accuracy of patient outcomes, thereby supporting a more personalized approach to managing HF and related kidney dysfunction. Further research is necessary to validate these findings and to develop innovative treatment strategies for the CKD population within the HF cohort.