analysis

Aim: Kidney stone disease, which can affect people of all ages and whose incidence increases day by day, is becoming a public health problem due to treatment costs. This study aims to determine how factors related to kidney stones affect the diagnosis of the disease when taken together, rather than determining their relationship with the disease one by one.Materials and methods: An open-access dataset containing kidney stone status and associated factors was used in the study. Mann Whitney U test and independent sample t-test were used in data analysis. Logistic regression was performed with the backward variable selection method to determine the factors associated with kidney stones. ROC analysis was used to determine the power of the variables that were significant as a result of logistic regression analysis, individually and together, in discriminating kidney stones.Results: According to the results of logistic regression analysis, gravity, cond, and urea calc variables were found to be associated with kidney stones. With ROC analysis, it can be said that urea, calc, and gravity variables with AUC values above 0.60 can distinguish kidney stones. When the combinations of these variables are examined, the AUC values of the binary combinations are between 0.734 and 0.759, while the AUC value obtained for the triple combination is 0.831.Conclusion: According to the results obtained from the article, it can be said that while the factors associated with the disease and used in the diagnosis have little effect on the diagnosis of the disease alone based on the AUC values obtained from the ROC analysis, it can be said that considering them together increases the accuracy in diagnosis. Therefore, considering the factors thought to be associated with the disease together may be more appropriate in diagnosis and may give more accurate results.

Naturalistic enclosures have become a popular exhibition technique for zoos, and reptiles and amphibians are regularly housed in these exhibits. While a considerable sum of research indicates that visitors prefer naturalistic exhibits, there are fewer studies documenting the behaviour and welfare of animals housed under these conditions. This study investigated the impact of a naturalistic enclosure on the behaviour of the turquoise dwarf gecko (Lygodactylus williamsi), and the welfare perceptions of visitors. When kept under naturalistic enclosures, dwarf geckos were seen to bask (p = 0.022), and engage in inactive behaviours (p = 0.001) significantly less frequently. A non-significant decrease was also seen in locomotion | (p = 0.074). While time spent hidden remains a confounding factor for behavioural analysis, the study indicates that when provided with hiding opportunities, L. williamsi may spend a considerable amount of time hidden from the public. Questionnaire analysis revealed that 84.6% of individuals believed that naturalistic enclosures demonstrated better welfare. Additionally, individuals who had previously owned a reptile were more likely to identify that areas to hide, enrich, and mimic the natural environment were important aspects of enclosure design. While the actual benefits of naturalistic enclosure design cannot be fully addressed by this study, this work suggests that visitors tend to inherently believe that naturalistic enclosures facilitate better welfare, even if they are not aware of the natural environment of the species being housed. This requires keepers to consider both aspects of functionality and enclosure relevance when designing exhibits for herptiles.

Introduction: Adolescents and young adults often engage in oral sex. However, the factors affecting the development of agreeing with oral sex are not clear enough.Objective: We aimed to assess the degree of agreement with oral sex among high school students and to search for background factors affecting this.Material and method: We conducted a quantitative cross-sectional study among 157 females and 38 male high school students over the age of eighteen by using an anonymous, paper-based, multiple-choice, self-administered questionnaire. For statistical analysis, we used descriptive statistics, two-sample t-tests, and Spearman rank correlation. Results: Of the respondents 67.9% were sexually active and 31.6% of them had more than one sexual partner. Of males 97.1% and of females 84.9% agreed with accepting oral sex. Degree of agreement with oral sex was higher in those who had had partnered sexual experience, and in those females who more frequently met close friends outside of school. Most participants were not in a current relationship with a partner, and for those who were, its duration did not affect the degree of accepting oral sex. The degree of agreement with the proficiency in male sexuality, and the degree of agreement with those dimensions of sexuality that most expressed the sexual drive and the desire to gratify it with the partner showed the strongest positive correlation with the degree of agreement with oral sex. In addition, the degree of agreement with the items of expressing sexual openness showed correlations with the degree of accepting oral sex. Conclusion: The degree of agreement with oral sex is high among high school students. Among the factors influencing this, the intensity of meeting friends seems to be important. We therefore recommend that the schools improve sex education in groups, highlighting the risks of oral sex, to reach the target individuals and their friends as well as their potential partners.

Background: Changes in lung structures persist in stable Chronic Obstructive Pulmonary Disease (COPD), but their correlation with the clinical picture remains unclear. The purpose of this study was to assess the stable COPD picture via the relationship between exhaled breath condensate (EBC) particle concentration and the Saint George Respiratory Questionnaire (SGRQ), COPD Assessment Test (CAT), and six-minute walking test (6 MWT). Methods: 12 stable COPD and 12 healthy subjects participated in the study. The EBC was collected with Rtube and analyzed using the Accusizer FxNano. Particle concentration was measured and correlated with the findings of the tools used to assess the health status and functional profile of COPD. The results’ analysis was performed with the Spearman’s test and the Mann-Whitney U - test.Results: The COPD group presented a worse picture of health status and functional profile compared to the healthy group. Correlations were observed between components of the SGRQ and CAT. The two groups presented similar levels of EBC particle concentrations, but the number of small particles was higher in COPD subjects. A correlation of the EBC particle concentration with the activity and total score of the SGRQ was only observed in the healthy group. Conclusion: The total particle number was similar in the COPD and healthy groups. A few correlations between the EBC particles and tools used were also observed. The use of EBC particle concentration to monitor COPD status cannot be claimed with confidence because of the small sample size. Further research is necessary, particularly in large-scale groups.

Currently, analysis of training data metrics has become increasingly important in characterizing high throughput. In fact, in bodybuilding, the RPE (rate of perceived exertion) assessment is the metric commonly used to calculate training volume. Therefore, this study demonstrates another way for bodybuilding athletes to evaluate their training through heart rate using the TRIMP (training impulse) method proposed by Edwards to analyze the intensity of a given training model. For this athlete, it is important to stay most of the time outside heart rate zone 1, not have more than 10% of total training time in zone 5 and contain the largest proportion of total training time in zones 2, 3 and 4.

This study delves into the forensic examination of textile fibers for identification through the application of the X-ray diffraction (XRD) technique. With the textile industry producing an array of materials, both natural and man-made fibers, the need to distinguish between them for forensic purposes becomes paramount. The primary objective of this research is to identify unique characteristics in fiber samples, differentiating between branded and non-branded company textiles. The focus is placed on fresh, unused cloth fibers obtained directly from shops. The study encompasses two broad categories of fibers: natural (such as cotton, silk, and wool) and man-made (including nylon, rayon, and polyester). Samples from both branded and non-branded textiles undergo analysis using XRD, a sophisticated method capable of revealing the crystallographic structure of materials. Results obtained from the XRD analysis unveil intensity peaks at various levels and degrees, providing distinctive patterns for individualization. Even within the same fiber category, such as polyester and cotton, discernible differences in intensity peaks facilitate the identification process. This research contributes to the advancement of forensic techniques by offering a reliable means of identifying textile fibers. The utilization of XRD not only allows for the differentiation between natural and man-made fibers but also enables discrimination among textiles produced by different companies. The implications of this study extend to forensic investigations, where the ability to precisely identify fibers can provide valuable evidence in criminal cases involving textiles.

The primary objective of this study was to detect the success and short-term survival rate of dental implant prosthetic therapy. The valuation of a possible relationship between the general and local clinical conditions of the patients (presence of risk factors and type of dental implant-supported prosthesis) and the satisfaction perceived by the patient, with success and survival of implant devices was investigated.The sample trial consisted of 23 patients, for a total of 50 dental implants supporting a prosthetic therapy. Preliminarily, an analysis of averages and frequencies of the anamnestic data was presented, as numbers and percentages. The implant success rate was calculated by assessing whether the implants fulfilled the success criteria defined by the Pisa Consensus Conference. The ANOVA test was used to check whether there was an association between the success of the implant device, the anamnestic data collected, and the type of prosthesis supported by the implants. Finally, the survival rate was calculated using the Kaplan - Meier method.The 2-year success rate of 50 implants was assessed at 98%. The 2-year survival rate was 97%. Finally, sex, age, compensated diabetes, a smaller and equal number of cigarettes per day (10 per day), the BOP, and the type of titanium dental implants supported by prosthesis, do not determine a change in success and are therefore not adequate parameters to predict the outcome of implant success. Following the results obtained, it is appropriate to continue the research by expanding the clinical observation times in order to obtain more solid scientific and clinical evidence.

Currently, the amount of solid waste is increasing in the world, especially in developing countries. Although Solid Waste Management (SWM) involves and collaborates with many stakeholders, management is still flawed. SWM in the urban and suburbs of Phnom Penh has encountered a number of obstacles and challenges. Seeing these problems, the government has decided to reform the solid waste management in Phnom Penh in 2019. After the reform, the provision of waste collection, transportation, and cleaning services in urban and peri-urban has changed significantly, while the urban and peri-urban receive collection services 95% and 80%, respectively. To be more precise one study on the current situation of SWM in urban and peri-urban Phnom Penh was conducted to understand the current situation and to identify challenges of SWM for the urban and the peri-urban in Phnom Penh. Two kinds of data were collected 1) preliminary data was collected from interviewing people in target areas by using structured questionnaires, and 2) secondary data was obtained from existing various sources. 330 respondents were selected with qualitative and quantitative analysis by using SPPS 28.0.1.1 and Microsoft Excel 2019. People use plastic bags instead of bins, triggers, and bags to store the waste.79.5% of the people are willing to pay the collection fee. It was found that the situation of SWM is better, however, the collection time is still blurred. SWM in Phnom Penh has faced four main challenges: financial, road infrastructure, landfill, and people's participation. SWM in urban and peri-urban, still have some problems such as the packaging and storage of the waste. and the problem of scavengers tearing the waste bags makes the garbage clutter.

Background: Revascularization procedures for chronic complete occlusion (CTO) are technically challenging but aim to improve left ventricular (LV) function. The aim of this study is to evaluate the value of global longitudinal strain (GLS) measured by 2D-speckle tracking echocardiography( 2D-STE) in the assessment of LV reverse remodeling in patients with CTO undergoing revascularization by percutaneous coronary intervention (PCI).Methods: Our study included 54 patients with CTO treated by PCI. We evaluate LV systolic function by measurement of left ventricular ejection fraction (LVEF), left ventricular end-systolic volume (LVESV), and the GLS within 24 hours before the PCI and after 3 months post-procedure. Results: The mean age of the patients was 56.65 ± 7.65 years; 74.1% were males. There was a significant improvement in the LVESV (p < 0.001), LVEF (p < 0.001), and GLS (p < 0.001) at 3 months post-PCI, and by multivariate regression analysis, the GLS was the single most significant predictor of LV reverse remodeling post revascularization (p < 0.001).Conclusion: Revascularization of coronary CTO lesions by PCI is associated with a significant improvement in regional and global LV function. The GLS measured by 2D-STE is a strong predictor of LV reverse remodeling post-CTO interventions.

Introduction: In Sudan, Grewia tenax fruits, are known commonly as Goddaim. The fruit’s pericarp is used traditionally for a long time as a juice or a porridge to treat iron deficiency anemia (IDA). Traditional Goddaim users have a very strong belief in its effectiveness. However, the pattern of hemoglobin improvement follows an initial fast increase followed by a decline upon continuing its use. Some previous studies have attributed its effect to high iron content, while the iron quantity was too small. This work attempts to find an explanation for its mechanism of action by screening the fruit extract and its respective fractions for secondary metabolites, minerals, vitamins, and fibre. Methods: Entailed three methodologies: Chemical analysis to identify quantified minerals, ascorbic acid and non-digestible fibers, Phytochemical Analysis to separate and identify secondary metabolites using high-performance liquid chromatography coupled to tandem mass spectrometry (HPLC-MS-MS technique), and estimation of radical scavenging activities of crude fruit extract and its respective chloroform and ethyl acetate fractions by inhibition of the 2,2-diphenylpicrylhydrazyl (DPPH).Results: Ascorbic acid and indigestible fibres were revealed in the aqueous extract. Secondary metabolites were flavonoids (e.g., quercetin, kaempferol), organic acids (e.g., ferulic acid, chlorogenic acid), β-carboline alkaloids (e.g., 3-hydroxy-tetrahydroharman) identified in the chloroform, and ethyl acetate fractions. The in vitro antioxidant activity of G. tenax fruit extract was confirmed spectrophotometrically. Conclusion: It can be concluded that the initial enhancement of iron absorption through ascorbic acid and fibres, followed by iron uptake inhibition, could be explained by iron chelation by the chelators in the fruits. This paradoxical effect may qualify G. tenax fruits as a safety gauge for improving haemoglobin levels without compromising iron excess once iron stores are filled by keeping the oxidative stress in check. This may present G. tenax fruits as a good and safe remedy that optimizes the treatment of IDA.

Background: Liver cancer is a global health concern, with overweight and obese individuals exhibiting an increased risk of its development. Understanding the interplay between obesity-related factors and liver cancer incidence is crucial for early prediction and intervention.Aim: The aim of this investigation was to construct and validate an extreme gradient boosting (XGBoost) based machine learning model for the purpose of establishing a one-year liver cancer risk prediction system specifically tailored to overweight and obese patients. In addition, this study sought to compare the predictive performance of the XGBoost model with those of a random forest model and a logistic regression model, while also identifying the most influential predictive features for liver cancer incidence.Methods: A comprehensive retrospective analysis was conducted on MIMIC III data comprising 2,354 patients. To predict the risk of liver cancer development, three machine learning models were developed: XGBoost, random forest, and logistic regression. Feature selection was executed using a stepwise regression procedure encompassing both forward selection and backward elimination.Results: The stepwise regression technique unveiled 14 predictive factors for liver cancer incidence. Among the patient cohort, 132 individuals developed liver cancer within a year of follow-up, while 2,222 did not. Notably, most liver cancer cases occurred in male patients (60%). Statistically significant differences were observed between patients with liver cancer and those without, in terms of age, gender, total bilirubin, platelet, albumin, chloride, potassium, sodium, prothrombin time (PT) and alanine aminotransferase (ALT). The XGBoost model exhibited an impressive area under the receiver operating characteristic curve (AUROC) of 99%, Random Forest (RF) of 99%, and Logistic Regression (LR) of 90%. In a multivariate analysis, total bilirubin, creatinine levels, age, gender, ALT, alkaline phosphate (ALP), PT, calcium, and chloride emerged as independent predictors for liver cancer incidence.Conclusion: The XGBoost model demonstrated superior predictive performance when compared to the RF and LR models. If corroborated through prospective studies, the XGBoost model may prove to be a valuable tool for the early prediction of liver cancer risk in overweight or obese individuals. Such predictive capabilities could, in turn, facilitate the implementation of timely preventive interventions against liver cancer.

Background and purpose: Schizophrenia (SZH) is a chronic mental disorder affecting the individuals` thoughts, perceptions, emotions, and behaviors. People with SZH may experience a wide range of positive, negative, and cognitive symptoms. Since there are no laboratory assays for definite SZH diagnosis, the authors aimed to identify the cerebral volumetric variations in SZH patients with the most prevalent positive symptoms as a diagnostic tool. This study selected 15 SZH patients displaying the most prevalent positive symptoms based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria. Assessment tools included the Mini-Mental State Examination (MMSE) for cognitive impairment, the Positive and Negative Syndrome Scale (PANSS) for symptom evaluation, and the Wechsler Intelligence Scale (WIS) for intelligence assessment. Additionally, 15 Healthy Controls (HC) without cerebral pathologies were recruited. T1w MRI images underwent analysis using Freesurfer software. Data analysis employed Mann-Whitney U and χ² tests, considering p < 0.05 as significant.Results: SZH and HC groups showed no significant differences in age and gender. However, significant (p < 0.05) alterations in Gray Matter (GM) volume were observed in SZH patients compared to HC. In the right hemisphere, several regions exhibited volume reduction, including the Fusiform sulcus, Rostral middle frontal gyrus, isthmus cingulate, Frontal pole, Middle temporal gyrus, Lateral occipital gyrus, and Inferior Parietal gyrus. Notably, the Precentral sulcus and Postcentral gyrus demonstrated volume acceleration. Similarly, in the left hemisphere, various regions showed volume reduction while the Paracentral gyrus indicated volume acceleration, all significant (p < 0.05).Conclusion: SZH patients display significant volumetric brain changes, indicating potential for future diagnostic procedures in SZH.

A 10-year-old male child presented to the Department of Respiratory Medicine in March 2017, with complaints of dyspnea (mMRC grade 1) for last 14 months which aggravated on right lateral position, left-sided chest pain for 1 year and mild fever for 3 months. There was no hemoptysis, wheeze, and expectoration. The patient gave a past history of straw-colored pleural fluid aspiration one year ago which was diagnosed as tubercular hydropneumothorax (Figure 1) in 2016 based on pleural fluid analysis. He was given antitubercular treatment for the effusion. He took ATT for 8 months but with no improvement. 

Introduction: We strongly believe that rs-fMRI using independent component analysis (ICA) must be considered as a technique to be systematically used in the near future, as positron emission tomography (PET TC) is today. Unfortunately, this technique is not yet used in Italy because, despite the studies just summarized, it is considered “experimental” and not routine without reasonable justification!Aim of the Study: We present two cases studied with these techniques, after the informed consent obtained by the patients1) A young woman from Sicily, in whom an rs-fMRI revealed her severe personality disorder, was found capable of insight and strong-willed and was therefore found guilty by the criminal court of the murder of her young son, with a strange motive: rs-fMRI cannot be considered part of the assessment because it is so far considered experimental. PET-TAC was also classified as routine in Italy after a long legal discussion. We hope that all these studies, which are now summarized in this review, will be considered useful, at least in Europe, when a judge has to decide whether to sentence a person with psychological or psychiatric problems or to consider them as a person to be treated in a specific residential home (called REMS in Italy).2) Another woman from Bergamo, after having killed a neighbor of hers, was, instead, considered not guilty because of her inability to want to kill him, and so admitted to a particular structure (REMS: residence to execution of security measures) to treat her problem, front temporal dementia, with a severe neuropsychiatric disorder (NPS), diagnosed after the crimen was fulfilled.Conclusions: These two interesting cases demonstrate that in Italy nowadays, we do not have a homogeneous methodology to investigate the ability to understand and want, limiting the study only to personality tests. Here we describe new techniques that may help in this objective.

Computational models used in specifying biological systems represent a complement and become an alternative to more widely used mathematical models. Amongst some of the advantages brought by these computational models, one can mention their executable semantics and mechanistic way of describing biological system phenomena. This short overview report enumerated some of the computational models utilised so far in systems and synthetic biology, the associated analysis and formal verification methods and tools, and a way of facilitating a broader use of this alternative approach.

Biochemical systems are analytically investigated after encoding the properties of the dynamics, which rule the time evolution of the transition properties, using some Markov models, such as the Hierarchical Markov-State Models. The present paper is aimed at analytically writing the (finite) Markov chain originating from the considered Markov models. Within this framework, the interaction with the environment is considered, and the ergodicity of the systems obtained from numerical simulation is controlled and compared with the qualities of the Markov chain. The (von Neumann) conditions to be imposed on the Bloch equations for the biomaterial structures to be described analytically in a consistent way are governed. The formalisms of the ’heat bath’ and that of the control of the numerical errors ensure the good measure-theoretical framework and the ergodicity of the finite chain, respectively.The finite Markov chains are investigated and the analytical expressions are presented, after which the Hierarchical Markov-State-Model provides the time evolution of the transition probabilities in biochemical systems.The notion of heat bath is used to describe the interactions of the biomaterial with the environment and thus to control the uses of the projection operators in the Markovian processes where the appropriate measure is defined; the stochastic equations allow one to obtain the wanted measure from the probability spaces.The cases in which a violation of the Markov property of the process occurs, i.e. in open systems, or dissipative processes are also considered. Furthermore, in complex molecules in biological systems, these features are investigated to be possibly even more dramatic. As far as molecular processes are concerned, this occurrence is associated with the appearance of chaotic effects with certain characteristics of potential surfaces: rather than the technique of isocommittors, the method of projectors in measure spaces is used for the Nakajima-Zwanzig paradigm for the density operator; this latter method complementary compares the time-convolution-less technique.The finite Markov chains are finally proven to be ergodic after the control of the numerical errors which provide the Sinai-Markov partitions to be applied for the analysis of the measure space of the Markov chain, that is, one endowed with a Hilbert measure. The von Neumann conditions are therefore newly demonstrated to be apt to be applied to the Bloch equations for biomaterial structures after the use of the notion of heat bath, from which the measure space arises.The qualities of the Hierarchical Markov-Sate Models which bring the analytical expression of the time evolution of probabilities of biomaterials are therefore newly analytically studied.

Introduction: The individual program of rehabilitation and (or) habilitation of children with disabilities (IPRH) is mandatory for execution by the relevant state authorities, local self-government bodies, as well as organizations regardless of organizational-legal forms and forms of ownership.Objective: To conduct a pilot analysis of the implementation of the IPRH contingent of patients of children with disabilities in an urban children’s clinic.Patients and methods: There were 366 reports on the implementation of measures provided for by an IPRH for a disabled person (disabled child) of 222 disabled. The organization of the study was in the nature of a continuous sample. The criterion for the inclusion of patients in it was the passage of an IPRH in a disabled child within a specified time frame. The following techniques were used: grouping, absolute and relative values, average values, detailing, and generalization. The threshold error probability for statistically significant differences was set at a level of 0.05.Results: The structure of the results of the control of the performance of IPRH in 222 disabled children according to the classes of diseases that caused the onset of disability (ICD) was as follows 1) G00-G99 - 35.47 ± 3.13%; 2) Q00-Q99 - 23.50 ± 2.77%; 3) 11.11 ± 2.05%; 4) C00-D48 - 10.25 ± 1.98%; 5) H60-H95 - 7.26 ± 1.67%; 6) M00-M99 - 2.99 ± 1.11%; 7-8) H00-H59 and P00-P96 - 2.14 ± 0.95%; 9-10) K00-K93 and S00-T98 - 1.29 ± 0.74% each; 11-12) I00-I99 and N00-N99 - 0.85 ± 0.60% each; 13-14) J00-J99 and L00-L99 - 0.43 ± 0.42% each.Conclusion: 1. In the structure of IPRH in 222 disabled children, according to the classes of diseases that caused disability (ICD), the following prevailed: 1) VI Diseases of the nervous system G00-G99 – 35.47%; 2) XVII Congenital anomalies, chromosomal disorders Q00-Q99 - 23.50%; 3) IV Diseases of the endocrine system, nutritional disorders, and metabolic disorders E00-E90 – 11.11%; 4) II Neoplasms C00-D48 - 10.25%; 5) VIII Diseases of the ear and mastoid process H60-H95 - 7.26%; 6) XIII Diseases of the musculoskeletal system and connective tissue M00-M99 - 2.99%; 7-8) VIII Diseases of the ear and mastoid process H60-H95 and VII Diseases of the eye and its adnexa H00-H59 - 2.14% each.2. The effectiveness of medical rehabilitation of disabled children was as follows: 1) Improvement - 23.26%; 2) Stabilization - 74.88%; 3) Deterioration - 1.86%. Dynamic observation was carried out on 94.26% of disabled children, drug therapy - 77.32%, non-drug therapy - 66.93%, and other types of medical rehabilitation were received by 14.48% of patients. Reconstructive operations were performed on 11.26% of disabled children.3. Prosthetics and orthotics were performed on 38.74% of disabled children. 32.43% of disabled children in need received sanatorium treatment, and 30.18% are currently in line to receive a voucher. For various reasons, 24.32% refused this type of rehabilitation; 3.60% of patients had contraindications at the time the voucher was provided.4. The obtained research results become the initial everyday statistical tool for objectifying the process of rehabilitation of patients and determining the strength and means of a medical institution to monitor and successfully implement an individual rehabilitation/habilitation program for a disabled person.

One of the most important emerging pollutants is pharmaceutical active compounds, which may be responsible, for example, for ecotoxicological changes and microbiological resistance. Wastewater treatment plants are not adequately equipped to remove all of the emerging pollutants contained in the wastewater. The ultrafiltration process has been proven to be effective in traditional wastewater treatment, so it is important to assess the performance of such a technique in the partial elimination of pharmaceutical compounds to avoid contamination. In this work, an assessment of ultrafiltration process operating conditions for eliminating six pharmaceutical compounds: Ibuprofen, Acetaminophen, Naproxen, Diclofenac, Caffeine, and trimethoprim, present in different types of water is performed. Experimental design is a systematic and structured approach to conducting experiments, and its application can significantly improve the study of membrane technology, reducing the number of assays necessary to obtain meaningful results. The statistical principles application ensures that the results obtained are reliable and representative of the true effects of the variables being studied. Its application helps to obtain valid conclusions from the data and provides a solid basis for making decisions or recommendations regarding the tests and variables to take into account. Membrane processes can involve complex interactions between several factors. Experimental design helps to identify and understand these interactions, allowing researchers to discern the combined effects of different variables. This is crucial to accurately predict and optimize membrane performance.In this work, ANOVA analysis has been carried out in order to determine the influence of membrane cut-off, solution pH, and feed concentration, as well as their interactions, in permeate flux and the rejection index. The results obtained show similar behavior for Ibuprofen, Naproxen, Diclofenac, and Trimethoprim, being the pH the most important factor. However, no significant factors were found for the acetaminophen and the Caffeine.

Background: Acute Myocardial Infarction (AMI) results in a reduction in patients’ life expectancy. Different risk factors affect the risk of Major Adverse Cardiac Events (MACE). Although the role of kidney dysfunction in patients with Chronic Kidney Disease (CKD) in cardiac events has been identified, many patients with AMI are unaware of their underlying kidney disease. This study aimed to compare the incidence of adverse cardiovascular events and identify predictors of major adverse cardiovascular events in the medium term among patients with and without renal dysfunction following AMI. Methods: This retrospective cohort study was conducted on 1039 patients who were hospitalized for Acute Myocardial Infarction (AMI) between 2018 and 2019. The patient cohort comprised 314 women (mean age: 69.8 ± 13.2 years) and 725 men (mean age: 60.5 ± 13.8 years). Patient data were obtained from the registry of patients with acute myocardial infarction and the participants were followed up for a minimum of one year following hospital discharge to assess the incidence of MACE.Results: The study found that patients with a Glomerular Filtration Rate (GFR) level below 60 had a significantly higher mortality rate than those with a GFR level of 60 or above (15.7% vs. 3.5%,p < 0.0001). The multivariate analysis showed that Diabetes Mellitus (DM), GFR, and Non-ST Elevation Myocardial Infarction (NSTEMI) are significant risk factors for cardiovascular events. (p = 0.016, p = 0.015, p = 0.006 respectively), while variables such as sex, age, and Hypertension (HTN) were not significant risk factors. There was a negative correlation between GFR and death (0.241 - = r, p < 0.0001)Conclusion: This study highlights the importance of detecting kidney disease during an AMI and managing risk factors for cardiovascular disease to improve health outcomes and reduce the risk of mortality.

Background: Diabetic peripheral neuropathy is a symmetrical length-dependent sensorimotor polyneuropathy due to chronic hyperglycemia. The World Health Organization (WHO) identified diabetes as a major global health concern. Diabetic neuropathy is characterized by motor dysfunctions (weakness and atrophy) especially at the distal muscles of lower limbs, and impaired dynamic muscular control in type 2 diabetes patients. Symptoms start in a distal-to proximal pattern in the feet, and ankle and proximally in the hip and knee for both flexors and extensors. Proximal muscle weakness affects postural stability. Dorsiflexor weakness causes increased hip, knee flexion and metatarsophalangeal extension in the initial swing whereas weakness in plantar flexors causes a greater amount of hip and knee flexion during the stance phase.Methodology: 34 subjects with Diabetic Peripheral Neuropathy who fulfilled all the inclusion criteria were recruited for the study. Ethical standards have been maintained and informed consent was taken. Subjects were randomly assigned by lottery method into two groups, intervention, and control with 17 in each. Since it is a single blinded study subjects were blinded about the interventions provided. Pre and post-test scores were taken before and after 4 weeks using Surface Electromyography (sEMG), Kinovea Software, Functional Gait Assessment (FGA) and Short Form -36 (SF-36).Results: The pre and post-score values of the kinematics of gait, Functional Gait Assessment, and Short Form - 36 were analyzed using a Paired t-test and Wilcoxon Signed Rank test within the group analysis, Mann- Whitney U test and Independent t-test for between the group analysis. Both groups displayed notable variations, whereas the intervention group exhibited more significant differences (p < 0.05). Thus, it can be inferred that lower extremity training significantly improves gait kinematics and quality of life in diabetic neuropathy.Conclusion: Lower extremity training is effective in improving the kinematics of gait and quality of life in diabetic neuropathy.