Publications by authors named "Kadiri S"

Background: Hypertension, which affects 1.28 billion people globally aged 30 to 79, is characterized by continuously high blood pressure (140/90 or more) and raises the risk of premature death. Losartan, an angiotensin receptor blocker (ARB), is suggested for patients under the age of 55 who cannot take ACE inhibitors as a first treatment option.

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Variability in speech pronunciation is widely observed across different linguistic backgrounds, which impacts modern automatic speech recognition performance. Here, we evaluate the performance of a self-supervised speech model in phoneme recognition using direct articulatory evidence. Findings indicate significant differences in phoneme recognition, especially in front vowels, between American English and Indian English speakers.

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Objectives: Increased prevalence of social creak particularly among female speakers has been reported in several studies. The study of social creak has been previously conducted by combining perceptual evaluation of speech with conventional acoustical parameters such as the harmonic-to-noise ratio and cepstral peak prominence. In the current study, machine learning (ML) was used to automatically distinguish speech of low amount of social creak from speech of high amount of social creak.

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Introduction/aim: The study examines how chronic resveratrol administration affects behavioral and neurochemical changes caused by Lorazepam (LZP), a classical anti-anxiety medicine associated with neurodegenerative and neurological problems.

Method: Forty male rats were placed into four groups: a control group receiving 1% Tween 80, the LZP group receiving 2 mg/kg/day, the Resveratrol group receiving 50 mg/kg/day, and the LZP plus resveratrol group receiving the same doses of LZP and Resveratrol. Oral therapy was given daily for 6 weeks.

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The threat of emerging viral outbreaks has increased the need for fast and effective development of therapeutics against emerging pathogens. One approach is to modify the structure of existing therapeutic agents to achieve the desired antiviral properties. Here, we attempted to synthesize a new antiviral compound by modifying the structure of chloroquine using the of the primary amine (N1,N1-diethylpentane-1,4-diamine) that is used in chloroquine synthesis.

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A facile one pot sequential and highly chemoselective synthesis of substituted pyridines/pyrido[3,2-]coumarins has been developed from oxime acetates and 3-formylchromones in the presence of FeCl. This reaction was oriented by different substituents on the α-position (H, methyl/aryl) of oxime acetates. Mechanistic investigations suggested that substituted pyridines were formed via intramolecular aza-Michael addition followed by ring opening, while pyrido[3,2-]coumarins were formed via intermolecular Michael addition.

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Many acoustic features and machine learning models have been studied to build automatic detection systems to distinguish dysarthric speech from healthy speech. These systems can help to improve the reliability of diagnosis. However, speech recorded for diagnosis in real-life clinical conditions can differ from the training data of the detection system in terms of, for example, recording conditions, speaker identity, and language.

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L-arginine is a semi-essential amino acid that plays a critical role in various physiological processes, such as protein synthesis, wound healing, immune function, and cardiovascular regulation. The use of L-arginine in pregnancy has been an emerging topic in the field of pharmacogenomics. L-arginine, an amino acid, plays a crucial role in the production of nitric oxide, which is necessary for proper placental development and fetal growth.

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This study aims to analyze the influence of specific printing parameters, including infilling, print speed, and layer height, on the CT numbers and printing time of 3D-printed workpieces fabricated from Polylactic Acid (PLA). The primary objective is to optimize these parameters to attain desired CT numbers and print time for radiotherapy applications. To achieve this objective, we employed the Taguchi experimental design and regression analysis methodologies.

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Acute pancreatitis due to antipsychotic treatment is a rare but serious complication. Risperidone is among the rarest atypical antipsychotics associated with acute pancreatitis. Here, we report the case of acute pancreatitis developing 2 years after the use of Risperidone in a young man with schizophrenia.

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Introduction: The tropical environment is endemic with malaria and non-malarial infections which are responsible for the high morbidity and mortality in these low- and middle-income countries. In particular, acute malarial infection can cause significant multi-organ dysfunction, including kidney involvement. Early detection of kidney dysfunction will help to improve the quality of care and reduce associated morbidity and mortality.

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The Coronavirus pandemic, Covid-19 and SARS-Cov-2 put multidisciplinary research by chemists, biologists, pharmacists and theorists necessary and primordial task to find new active biomolecules which will be beneficial for all humanity. The azoles drugs are electronic rich, they should be used with caution, and an understanding of their pharmacokinetic profile, safety, absorption, distribution, excretion, metabolism, toxicity, and drug-drug interaction profiles is important to provide effective and cure therapy. In these objectives and goals, twenty aromatic nitrogen heterocycle compounds were chosen for in silico, docking and AMET studies against SARS-CoV-2.

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Background: Chronic kidney disease (CKD) is a global growing public health epidemic with attending morbidity and huge financial cost. Cardiovascular disease (CVD), a major complication of CKD, contributes to its excessive mortality rate. The aetio-pathogenesis of the excess burden of CVD in CKD is a feature yet to be unravelled.

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Understanding of the perception of emotions or affective states in humans is important to develop emotion-aware systems that work in realistic scenarios. In this paper, the perception of emotions in naturalistic human interaction (audio-visual data) is studied using perceptual evaluation. For this purpose, a naturalistic audio-visual emotion database collected from TV broadcasts such as soap-operas and movies, called the IIIT-H Audio-Visual Emotion (IIIT-H AVE) database, is used.

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Objectives: Malnutrition and weight loss are important risk factors for complications after lung surgery. However, it is uncertain whether modifying or optimising perioperative nutritional state with oral supplements results in a reduction in malnutrition, complications or quality of life.

Design: A randomised, open label, controlled feasibility study was conducted to assess the feasibility of carrying out a large multicentre randomised trial of nutritional intervention.

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Automatic voice pathology detection is a research topic, which has gained increasing interest recently. Although methods based on deep learning are becoming popular, the classical pipeline systems based on a two-stage architecture consisting of a feature extraction stage and a classifier stage are still widely used. In these classical detection systems, frame-wise computation of mel-frequency cepstral coefficients (MFCCs) is the most popular feature extraction method.

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Objectives: Improving economy and well-being in developing nations like India has expanded life expectancy and changed the attention from transmittable to non transmittable diseases such as Parkinson's disease. Tabebuia impetiginosa has been utilized by cultivators as a general tonic, immunostimulant, adaptogen and also in motor disorders. The present investigation was to explore the antiparkinsonian activity of Tabebuia impetiginosa bark by experimental methods.

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The goal of this study is to investigate advanced signal processing approaches [single frequency filtering (SFF) and zero-time windowing (ZTW)] with modern deep neural networks (DNNs) [convolution neural networks (CNNs), temporal convolution neural networks (TCN), time-delay neural network (TDNN), and emphasized channel attention, propagation and aggregation in TDNN (ECAPA-TDNN)] for dialect classification of major dialects of English. Previous studies indicated that SFF and ZTW methods provide higher spectro-temporal resolution. To capture the intrinsic variations in articulations among dialects, four feature representations [spectrogram (SPEC), cepstral coefficients, mel filter-bank energies, and mel-frequency cepstral coefficients (MFCCs)] are derived from SFF and ZTW methods.

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Objective: The aim of this study was to determine the haemodynamics of the intrarenal arteries from the relationship between resistivity index (RI) and kidney function, and to identify the predictors of high RI among patients with diabetic nephropathy (DN) and those with diabetes mellitus (DM) without DN.

Methods: This was a cross-sectional survey of 133 participants, comprising 40 subjects with DM without DN, 53 with DM with DN and 40 healthy controls. Information obtained was demographics, lifestyle, medical and medication histories, while anthropometric and blood pressure measurements were taken.

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Background: Many shortcomings associated with haemodialysis for instance, intradialysis blood pressure changes, often lead to inadequate dialysis dose. Measures are needed to improve on this.

Objectives: To determine the risk factors and clinical correlates of intradialysis blood pressure variations.

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Introduction: Smoking prior to major thoracic surgery is the biggest risk factor for development of postoperative pulmonary complications, with one in five patients continuing to smoke before surgery. Current guidance is that all patients should stop smoking before elective surgery yet very few are offered specialist smoking cessation support. Patients would prefer support within the thoracic surgical pathway.

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The research evidence shows that war had many detrimental effects on the mental health, wellbeing, and social functioning of the people of Kosova, which is similar to the findings in many other postconflict societies. However, there are few studies focusing on the process of meaning-making of war experiences and their impacts on resilience and growth. This phenomenological study aimed to explore the lived war experiences of citizens of Kosova from the perspectives of three generations (grandparents, parents and children) through semistructured interviews, which were conducted with 37 participants.

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Background: Evidence that Enhanced Recovery After Thoracic Surgery (ERAS) improves clinical outcomes is growing. Following the recent publications of the international ERAS guidelines in Thoracic surgery, the aim of this audit was to capture variation and perceived difficulties to ERAS implementation, thus helping its development at a national level.

Methods: We designed an anonymous online survey and distributed it via email to all 36 centres that perform lung lobectomy surgery in the UK and Ireland.

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