Le 05 décembre 2012, les pratiques et expressions culturelles liées au balafon des communautés sénoufo du Mali, du Burkina Faso et de la Côte d’Ivoire ont été inscrites sur la Liste représentative du patrimoine culturel immatériel de l’humanité. Le tafal-djéguélé est une pratique et expression culturelle liée au balafon des Sénoufo de Côte d’Ivoire. Deux raisons principales fondent son usage : amener les laboureurs à la houe à se surpasser d’une part, et magnifier les valeurs des senambélé1 d’autre part, notamment celles en rapport avec le labour étant donné que le sénoufo est agriculteur par essence. Toutefois, en raison de certains changements sociaux, le tafal-djéguélése pratique de moins en moins. Cette situation prive le senanw d’aujourd’hui d’un cadre majeur d’enseignement et de diffusion de valeurs, et pose ainsi la question de leur transmission aux générations actuelles et futures. Cet article vise à démontrer comment la faible pratique du tafal-djéguélé empêche de nos jours la transmission de "valeurs- références" en pays sénoufo, mais aussi à proposer des pistes de solutions.

Assanvo

Numerous initiatives to rely on new renewable energy sources, such solar electricity, have been sparked by the increased interest in global warming. With an increase in home photovoltaic (PV) panels that are available to the public, more precise calculations of energy generation are now possible. Segmenting satellite images offers a straightforward and inexpensive way to categorize solar panels..This work suggests a method for classifying and segmenting solar panels that combines the watershed algorithm with deep learning approaches. First, a Convolutional Neural Network (CNN) architecture with the ResNet, EfficientNet, and Inception architectures is used for classification. Through the fine-tuning of pre-trained networks on a heterogeneous dataset of solar panels, transfer learning improves performance. The categorization model recognizes solar panels in a variety of settings with accuracy, making maintenance and monitoring easier. After classification, the watershed method uses intensity gradients to precisely delineate solar panels from the background. Tasks like defect detection and layout optimization are made easier when deep learning-based classification and watershed segmentation are combined. The outcomes of the experiments show how well the suggested method performs in terms of segmenting and classifying solar panels under various circumstances. A flexible automated solar panel management solution is provided by the combination of deep learning and the watershed algorithm, which promotes increased sustainability and efficiency in solar energy systems.

Bakka arun kumar

Background: The determinants of medication adherence in people with diabetes may differ between populations of an area due to social environment, cultural beliefs, socioeconomic conditions, education, and many other factors differences. Objective: Therefore, this study aims to explore, identify and classify the determinants of medication adherence in several Asian regions. Methods: A systematic literature review was conducted to gain insight into the determinants of medication adherence. Seven relevant databases (EBSCO, ProQuest, PubMed, ScienceDirect, Scopus, Wiley, dan Taylor, and Francis) and hand-searching methods were conducted from January 2011 to December 2020. Keywords were compiled based on the PICO method. The selection process used the PRISMA guidelines based on inclusion, and the quality was assessed using Crowe’s critical assessment tool. Textual summaries and a conceptual framework model of medication adherence were proposed to aid in the understanding of the factors influencing medication adherence. Results: Twenty-six articles from countries in several Asian regions were further analyzed. Most studies on type 2 diabetes patients in India used the MMAS-8 scale, and cross-sectional study is the most frequently used research design. The medication adherence rate among diabetic patients was low to moderate. Fifty-one specific factors identified were further categorized into twenty-three subdomains and six domains. Furthermore, the determinants were classified into four categories: inconsistent factors, positively related factors, negatively related factors, and non-associated factors. In most studies, patient-related factors dominate the association with medication adherence. This domain relates to patient-specific demographics, physiological feelings, knowledge, perceptions and beliefs, comorbidities, and other factors related to the patient. Several limitations in this review need to be considered for further research. Conclusion: Medication adherence to diabetic therapy is a complex phenomenon. Most determinants produced disparate findings in terms of statistical significance. The identified factors can serve various goals related to medication adherence. Policymakers and health care providers should consider patient-related factors.

Much ilham novalisa aji wibowo

в статье анализируются основные причины и критерии иностранных инвестиций, основная роль внедрения инновационных технологий в рыночную экономику. А также роль иностранных инвестиций в модернизацию экономики Узбекистана.

Ikboljon odashev mashrabjonovich

Human being has lot of virtual mask in their behaviour (mind or brain). By the way of probability study alone, be able to find a person’s loyalty through their emotions, stress of speech, way of expressions and so on. It is not a novel technique to this world. The judgement and the hearings are finalizing in accordance to passed parameters (questions, transparent as well hidden test) and the result. Artificial Neural Network (ANN) is one of the best methods meant for speech stress analysing based cheap lie detection for the loyalty test. To show the results, polygraph is a comprehensible demonstration oriented approach. These methods are already used by the insurance fraud investigations and police. Through an individual’s stress (stress percentage or else range) voice as well their emotions are able to detect the loyalty. Lie detection techniques require being extremely confidential and dynamic. For the reason that voice stress analysis (VSA) parameters have to be an encrypted for avoiding speech practise with testing tool. Here this paper, outlooks by using for predicting the liars through Speech VSA.

Dr h shaheen

In some countries, a high percentage of the population relies on traditional plants for treating certain diseases. The aim of this study was to investigate the effect of G. alypum extract (GAE) and Alhagj marorum extract (AME) on lipid profiles in experimentally induced hypercholesteremic rats and on the blood pressure of experimentally induced hypertensive rats. Male Wistar rats weighing 200 - 300 g were divided into five groups: group 1 received a normal diet (negative control), group 2 received a high lipid diet containing coconut oil (10 g/kg/day), cholesterol (4 g/kg/day) and cholic acid (0.20 g/kg/day) (positive control), group 3 received a high lipid diet together with clofibrate (50 mg/kg/day), group 4 received a high lipid diet together with AME (200 mg/kg/day) and group 5 received GAE (200 mg/kg/day). The experiment continued for two weeks, then the rats were sacrificed and blood samples were collected for estimation of cholesterol, triglycerides, high-density lipoprotein and low-density lipoprotein. To induce hypertension, rats were divided into two groups (n = 8 in each group). Group 1 received normal saline (control) and Group 2 received dexamethasone (0.40 mg/kg, i.p.) for seven consecutive days. Later, the rats were anesthetized using thiopental and the carotid artery was cannulated for recording blood pressure. AME (40 mg/kg) or GAE (40 mg/kg) were injected through a cannula placed into the internal jugular vein at a dose volume of 0.1 ml. Systolic and diastolic blood pressure were measured before and after plant extract administration. The results showed that clofibrate GAE extract and ANE extract significantly decreased cholesterol, triglycerides, low-density lipoprotein and high-density lipoprotein as compared to high-lipid diet-treated rats. Data also indicated that administration of GAE or AME extract significantly decreased systolic and diastolic blood pressure in experimentally induced hypertensive rats. In conclusion, GAE and AME have antihyperlipidemic and antihypertensive activities and further investigation is needed to clarify the mechanism of these effects.

Mediterranean journal of pharmacy and pharmaceutical sciences

Resveratrol, a polyphenol predominantly present in red grapes, has attracted interest due to its possible health advantages. The anti-inflammatory, antioxidant, and vasodilatory properties of this substance indicate that it may have a beneficial effect on wound healing in individuals with diabetes mellitus. This study aims to determine the role of resveratrol on type 2 diabetic wound healing on total protein and albumin levels in rats. 20 male adult Albino Wistar rats were rendered diabetic using a high-fat diet and an alloxan injection (120 mg/kg). The rats were grouped into four: non-diabetic control group (negative control), diabetic control group (positive control), diabetic treatment group 1 (resveratrol: 10 mg/kg) and diabetic treatment group 2 (resveratrol: 20 mg/kg). Excisional wounds were created and monitored for wound closure over a defined treatment period of 14 days. Studies were conducted and expressed using physical and biochemical indices. The data demonstrated wound healing activities via biochemical indices, and histological and macroscopic methods. There was a difference in fasting blood glucose between the diabetic control group with the treatment groups. There was a difference between the diabetic control group compared to the group treated with resveratrol 10 mg/kg and 20 mg/kg in the weight of the rats. There was no significant acceleration in total albumin and globulin levels in the diabetic wounded group treated with resveratrol (10 mg and 20 mg). The results suggest that resveratrol treatment does not affect on total albumin and globulin levels in diabetic rats.

Mediterranean journal of pharmacy and pharmaceutical sciences

Furosemide is a widely potent diuretic drug used in the management of edema and hypertension. Various brands of furosemide are available in the Libyan market and should be subjected to different quality control tests to assess their pharmaceutical equivalence. This study aimed to assess and compare the quality and the pharmaceutical equivalence of some generic brands of furosemide 40 mg tablets marketed in Libya. The pharmaceutical quality of four brands of furosemide tablets was investigated using official and unofficial compendia standards including uniformity of weight, friability, thickness, hardness, drug content and dissolution rate. The results obtained showed acceptable external features as well as the thickness, diameter and uniformity of weight for all the furosemide tablets. The tested brands complied with the official specifications of friability, hardness and drug content. In conclusion, all four brands can be considered as bioequivalence and thus can be pharmaceutically substituted in clinical practice.

Mediterranean journal of pharmacy and pharmaceutical sciences

The present study reveals that the enriched aerobic cultures of indigenous microbes can be used successfully for decolorizing dye effluents. Physico-chemical analysis of dye effluent revealed high load of pollution indicators. Textile dye effluent and contaminated soils were collected and analyzed for selection of suitable bacteria for dye degradation. The residual bacterial load was found to be in the range of 108 cfu/mL. Six bacterial strains viz., two species of Bacillus, two species of Klebsiella,, one species each of Planococcus and Micrococcus luteus were isolated. The best two dye degraders namely species of Planococcus and Bacillus were further optimized for the effect of carbon and nitrogen source, pH, temperature and percentage of inoculum. The optimized conditions for both the isolates of Planococcus sp. and Bacillus sp. were used in bio-decolorization studies of textile effluent. More than 50% of decolorization was achieved within 4 d of incubation. After 6 d of incubation, decolorization was achieved above 80%. The isolates Planococcus sp. and Bacillus sp. exhibited maximum decolorization ability at pH between 5-8 and temperature 37C. Moreover, 10% (v/v) inoculums, glucose and peptone as carbon and nitrogen sources were found to be the optimum for decolorization. Both the isolates showed highest decolorization percentage of Coractive Blue 3R dye effectively during optimization and more interestingly showed consistent decolorization of textile dye throughout the study.

Dr. saranya devi k

Analgesic activity on two Cleome scaposa and Cleome brachycarpa by applying pressure-induced pain model

Dr. salman ahmed

Industrial waste is one of the most essential sources of contamination in the environment. Chromium (Cr) is a toxic heavy metal, a major contaminant in tannery wastes and its accumulation in soil and water is a major environmental concern today. In the present study, an attempt was made and investigated the status of different beneficial microbes particularly plant growth promoting rhizobacteria (PGPR) from tannery sludge samples collected from tannery effluent treatment plant at Dindugal, Tamil Nadu, India. Experiments were conducted and evaluated their chromium heavy metal tolerance abilities and plant growth promoting activities under in-vitro. Based on molecular analysis, the PGPRs were identified as Achromobacter xylosoxidans (LK391696), Azotobacter vinelandii (LK391702) and. The production of IAA was found to be high by Achromobacter xylosoxidans (46μg/ml) followed by Azospirillum lipoferum (30μg/ml). Phosphate solublization activity was also found to be positive in all these PGPR isolates. Significance of these results revealed that there is a possibility of using these potential PGPRs for bioremediation of chromium contaminated sites and also as good plant growth promoter.

Dr. saranya devi k

Impurity is something that is impure or makes something else impure. An impure substance may be defined as follows: a substance of interest mixed or impregnated with an extraneous or usually inferior substance, from the standpoint of its usage, the drug substance is compromised in terms of purity even if it contains another material with superior pharmacological or toxicological properties. The impurity may be developed either during formulation, or upon aging of both API’s and formulated API’s in medicines. The presence of these unwanted chemicals, even in small amount, may influence the efficacy and safety of the pharmaceutical products. The impurities are not necessarily always inferior. Highly sophisticated instrumentation, such as mass spectra meters attached to a Gas Chromatography or HPLC, are inevitable tools in the identification of minor components (drugs, impurities, degradation products, metabolites) in various matrices. Present article reveals different impurities found in the API’s, methods for identifying them and the possible measures to deal with the interferences caused by them in pharmaceutical analysis.

Prasanna pradhan

This Experiment was conducted on 120 day old unsexed Ross broiler chicks to study the effect of added methionine to soybean meal as substitute for protein concentrate in the starter ration on some productive traits . The chicks were raised on floor were distributed to three treatments with four replicates each ( 10 birds) . The three experimental starter rations (1-28) day contained 2800 kcal/kg ME and 22% cp . The first supplemented with 5% protein concentrate , while the second and third were with out protein concentrate but supplemented with 0.1 and 0.2% methionine respectively . The Finisher ration (29-49) day contained 3047 kcal/kg ME and 19.19% cp. At 49 day of age 2 birds from each replicate were slaughtered for carcass traits . Statistic analysis of data showed a significant increase (P ≤ 0.05) in body weight , weight gain , feed and protein efficiency ratio for third treatment during (1-28) day , No significant difference in all studied traits during (29-49)day, and the third treatment showed best economic efficiency .

Rafea mohammedtaher khulel

Background: Unexplained infertility is a frustrating diagnosis both for the patient and the clinician, with a prevalence of 16%-37%. It commonly refers to a ‘diagnosis’ made when tubal, ovulatory and husband factors are ruled out. A couple is usually referred for evaluation after 1 year of unsuccessful trials of conception with unprotected intercourse in the fertile phase of the menstrual cycle. Unani formulation comprises of baikh asgand (Withania somnifera Dunal), baikh piyabansa (Barleria prionitis Linn), gule dhawa (Anogeissus latifolia) and gule nilofar (Nymphaea alba Linn) were used for the treatment of uqr, possessing the properties of muqawwi rahim, moaene hamal, moallide mani, etc. Case presentation: A married couple (22 years female partner & 26 years male partner) presented to NIUM Hospital OPD, with chief complaint of failure to conceive since 5 years. The couple report a high degree of stress related to their lack of success. Investigations were carried to check for tubal patency, ovulatory function and semen analysis. Diagnosis of unexplained infertility was made after thorough evaluation of the case. The powder of above mentioned formulation was given 6g twice a day orally with milk from 5th day of cycle for 5 days. Patient got conceived after taking treatment for two consecutive cycles. Discussion: Here we report evidence based management with Unani medicine to help combat the significant physical, psychosocial and economic toll on couples. Keywords: Unexplained infertility; Primary infertility; Uqr; Muqawwi rahim; Moaene hamal; Moallide mani; Unani medicin

Dr ismath shameem

In this article, we study an Inventory Routing Problem with deterministic customer demand in a two-tier supply chain. The supply chain network consists of a supplier using a single vehicle with a given capacity to deliver a single product type to multiple customers. We are interested in population-based algorithms to solve our problem. A Memetic Algorithm (MA) is developed based on the Genetic Algorithm (GA) and Variable Neighborhood Search methods. The proposed meta-heuristics are tested on small and large reference benchmarks. The results of the MA are compared to those of the classical GA and to the optimal solutions in the literature. The comparison shows the efficiency of using MA and its ability to generate high quality solutions in a reasonable computation time.

Mohamed salim amri sakhri

Self-medication with antibiotics is becoming a trend that threats the health systems worldwide through developing bacterial resistance which is associated with high health care costs and increased rate of morbidity and mortality. The main objective of this study is to assess antibiotic self-medication practice among Libyan university pharmacy students. This is a cross-sectional study conducted among pharmacy students at Sabratha University in the western region of Libya. A validated questionnaire was used to collect relevant data which were statistically analyzed. A total of 170 undergraduate Pharmacy students participated in the study during spring 2021. About 80% of the participants reported the use of antibiotics without consulting a physician. The major reason for using antibiotics was to get a quick relief of emergency conditions which was reported by 35% of the students. About 25% of the students used antibiotics to relieve their pains and aches. The most commonly used antibiotic was amoxicillin (55%). Most antibiotics were obtained over the counter from community pharmacies (85%). Half of the participants were not sure if they can advise patients to use antibiotics without a prescription, although 60% of them believed that it was good practice. In conclusion, prevalence of antibiotic self-medication among university pharmacy undergraduate students is high. Thus, serious interventions are required to ensure safe and effective use of antibiotics among the population in Libya.

Mediterranean journal of pharmacy and pharmaceutical sciences

Plant secondary metabolites refer to various chemical compounds that plants produce. Still, they are not directly involved in essential growth processes like primary metabolites (such as sugars, amino acids, and lipids). The term "secondary metabolite" has generated controversy, as it implies these compounds are of minor importance to plants. "Special metabolites" may be a more suitable term. These metabolites protect plants from both abiotic and biotic stress. The vast diversity of plant secondary metabolites showcases plants' incredible adaptability and versatility, providing an arsenal of chemical tools to defend against herbivores, protect from pathogens, attract pollinators and seed dispersers, adaptability and thrive in environmental interactions. Plants can, therefore, survive under less-than-ideal conditions. The profound impact of plant secondary metabolites highlights the intricate relationship between plants and humanity, opening doors to innovative applications with far-reaching implications.

Dr. salman ahmed

The seed flours of Macrotyloma uniflorum (Lam.) Verdc., Phaseolus lunatus Linn., and Phaseolus vulgaris Linn. were investigated for their total, soluble and insoluble oxalate contents by HPLC. The total oxalate content of Macrotyloma uniflorum, Phaseolus lunatus and Phaseolus vulgaris were 1.24, 1.77 and 1.71 mg/ g, respectively. The % age of soluble oxalate was Macrotyloma uniflorum (19.50), Phaseolus lunatus (15.08) and Phaseolus vulgaris (15.88). The calculated soluble oxalate: calcium ratio of all tested legume flours is lesser than one and hence will not create any resistance in calcium bioavailability.

Dr. salman ahmed

In this paper, we propose a deep learning approach for visual recognition of bird species in noisy environments. Bird species recognition has been a challenging task due to the high variation in bird appearances and the presence of noise and clutter in natural environments. Our approach utilizes a deep convolutional neural network (CNN) to learn discriminative features from bird images and classify them into different species. We also incorporate data augmentation techniques to increase the diversity of the training data and improve the robustness of the model. To address the issue of noisy environments, we introduce a novel noise-robust loss function that penalizes the model for incorrect predictions caused by noise. We evaluate our approach on a dataset of bird images collected from diverse environments and compare it with state-of-the-art methods. Our results demonstrate that our approach achieves superior performance in both clean and noisy environments, highlighting the effectiveness of our noise-robust loss function. Our approach has the potential to be applied in real world scenarios for bird species recognition and conservation.

Pk dutta

This journal article investigates the evolving landscape of healthcare monitoring systems empowered by Artificial Intelligence (AI). Through an in-depth analysis of recent developments, methodologies, and case studies, the article elucidates the pivotal role of AI in revolutionizing patient care, diagnostics, and overall clinical outcomes.

Dhruvitkumar talati