Hemodialysis patients suffer from poor health-related quality of life which results in a higher risk of hospitalization and mortality. This study investigates the importance of pharmaceutical care and role of pharmacist for hemodialysis patients to optimize drug therapy, minimize drug related problems and thereby improving their health-related quality of life. The study was conducted to evaluate the impact of pharmaceutical care interventions on health-related quality of life of hemodialysis patients in Benghazi, Libya. Randomized control study was carried out after getting an ethical approval from the committee of the hospital. Health-related quality of life was assessed using SF-36 instrument for all the patients (n = 80). Among them, 40 patients were received the normal care along with brief medication review and counselled by pharmacists for two months. Then, health-related quality of life was assessed again for those 40 patients who received the pharmaceutical care. Data was analyzed using an appropriate methods. The results showed that the quality of life for hemodialysis patients was poor in both physical and emotional aspects. After implementation of appropriate pharmaceutical care to the patients, their quality of life improved significantly. Health-related quality of life is an important determinant of treatment effectiveness in dialysis patients
Mediterranean journal of pharmacy and pharmaceutical sciences
Intensively cultivated rice-wheat cropping system of the Indo Gangetic plain (IGP) is a potential source of greenhouse gas (GHG) emissions.Agriculture sector emits GHGs like methane (CH4) and nitrous oxide (N2O). The total amount of GHGs emitted by a product is known as its carbon footprint (CFP).Quantification of CFP of crops will help in identifying management practices to reduce CFP of crop production. Studies related to assessing of CFP of agricultural products are lacking. The present review paper was aimed to discuss about the studies done on GHG emission from rice-wheat cropping system of the Indo Gangetic plains. The paper elaborates on what is CFP, how to calculate CFP of rice-wheat cropping system with the help of different case studies. The paper provides insights about certain agricultural management practices which can help in reducing CFP of rice-wheat cropping system. Discussion from this paper signifies the importance of carbon footprint assessment in maintaining the sustainability of rice wheat cropping system.
Purpose: The study aims to explore all possible morphological features of calcium oxalate monohydrate and calcium oxalate dihydrate crystals and their habits in case of inhibition. Methods: The study was carried out on a glass slide to observe the growth and inhibition of calcium oxalate monohydrate (COM) crystals by using infusions (5-20%) of Macrotyloma uniflorum (Lam.) Verdc, Phaseolus lunatus Linn. and Phaseolus vulgaris Linn. The reagents of the double diffusion gel technique were used for this purpose. Results: Calcium oxalate crystals are divided into three types: calcium oxalate monohydrate, dihydrate, and trihydrate. These types are further divided into sub-types based on their morphology. In the case of calcium oxalate monohydrate (COM), these crystals are donuts, dumbbells, needles, platy, prismatic, rosette, round edges and X-shaped. Calcium oxalate dihydrate (COD) is the elongated large rods and tetragonal bipyramidal forms. In the present study, dendritic or arborescent (tree-like platy crystals) were observed for the first time as part of a COM growth. Long chain loose agglomerates and compact aggregated crystals are the typical pattern of calcium oxalate crystals. All tested infusions caused growth inhibition of calcium oxalate crystals. Smaller nucleation zones and defective shapes of the grown crystals are declared different growth inhibition patterns. Conclusion: This study gives extensive information about morphology, aggregation and growth inhibition of calcium oxalate crystals.
Penilaian autentik ini bertujuan untuk mendeskripsikan pengetahuan guru serta menggambarkantugas-tugas riil bagi siswa untuk menghasilkan pengetahuan, sikap dan keterampilan. Teknik pengumpulan data yang digunakan adalah observasi dan wawancara. Focus penelitian ini (1) bagaimana penilaian kompetensi sikap pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? (2) bagaimana penilaian kompetensi pengetahuan pada pembelajaran tematik di MI Darussalam 01Bagon Puger Jember?, (3) bagaimana penilaian kompetensi keterampilan pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? Hasil dari penelitian ini menunjukkan: (a) penilaian kompetensi sikap meliputi sikap jujur dan disiplin, dimana mudah didalam teori, namun sulit untuk menerapkannya. Tergantung dari guru favorit masing-masing, proses pembelajaran tergantung pada materi pelajarannya, dan juga berkaitan dengan nilai atau norma. (b) Penilaian kompetensi pengetahuan, meliputi: tes tulis, tes lisan, dan penugasan, baik penugasan terstruktur dan tidak terstruktur. (c) Penilaian kompetensi keterampilan meliputi: penilaian kinerja, penilaian proyek, dan penilaian portofolio.
Ensuring consistent raw material quality is a significant challenge in chemical manufacturing, particularly for medicinal compounds where safety and efficacy are paramount. In these situations, a unique methodology known as Statistical Process Control (SPC) come into play. This study provides statistical process control analysis of four critical operational parameters for most the raw chemical compounds, especially in the medicinal chemistry— Specific Optical Rotation (SOR), Water Content (WC), RI, and Chromatographic Purity (CP)—derived from a dataset of 26 observations in an applied engineering context. The methodology encompasses descriptive statistics, rigorous distribution identification using Goodness-of-Fit tests, and process stability assessment via Individual- Moving Range (I-MR) and Exponentially Weighted Moving Average (EWMA) control charts. Descriptive statistics revealed diverse data characteristics, notably the high positive skewness (2.623) and kurtosis (9.386) of WC (Mean ± Standard Deviation: 0.177±0.106987) and the presence of negative values for SOR (Mean: -0.1, Min: -2, Max: 2). Distribution fitting identified Logistic and Normal as the most suitable for SOR, while RI demonstrated a best fit for normal distribution with Johnson Transformation. WC and CP exhibited significant non-normality and challenges in fitting standard distributions, often accompanied by warnings regarding convergence or parameter estimation stability. Crucially, control chart analysis identified significant out-of-control conditions for SOR, WC, and RI, indicating inherent process instability. CP, conversely, demonstrated stability with the optimized EWMA chart. The findings underscore the necessity of tailored statistical approaches for diverse data characteristics in quality control. Implementation of Statistical Process Control should not be underestimated in the chemical manufacturing industry, notably in the developing nations.
Yield Analysis of Maize Hybrids Lenient to Turcicum Leaf Blight Disease in Southern Districts of Karnataka
This research was conducted at Al-Baitul Amien Elementary School Jember which aims to answer the problem 1) How is the concept of prophetic education in shaping the character of students in Al-Baitul Amien Elementary School Jember? 2) How is the implementation of prophetic education in shaping the character of students in Al-Baitul Amien Jember Elementary School? 3) How is the evaluation of prophetic education in shaping the character of students at Al-Baitul Amien Elementary School Jember? The method used in this research is qualitative research methods. The approach used is a descriptive qualitative approach. The results of this study indicate: (1) The concept of prophetic education in shaping the character of students at Al-Baitul Amien Elementary School Jember, namely: the formation of a distinctive curriculum based on the historical values ??of the mosque, religious habituation programs, and the commemoration of Islamic holidays. (2) Implementation of prophetic education in shaping the character of students in Al-Baitul Amien Jember Elementary School, namely: Dhuha Prayers, Dhuhr and Asr Prayers in Congregation, Asmaul Husna Habits, Tahfidz Qur'an, Juz 30 Hafalan Program, Tartil Qur'an, Tilawati Qur'an (Qiro'ah), Friday charity, Islamic Studies, Team of action / affection, Learning the Koran, PAI Subjects, Learning Arabic, Student Liaison and Achievement Books, Commemoration of Islamic Holidays, Sholawat and Hadrah, Nasyid, and Da'i Little. (3) Evacuation of prophetic education in shaping the character of students at Al-Baitul Amien Jember Elementary School, namely: a connecting book for reports on the implementation of student sunnah prayers, compulsory prayer services, student morals at home, and also letters from parents to teachers and vice versa. Penelitian ini dilakukan di Sekolah Dasar Al-Baitul Amien Jember yang bertujuan untuk menjawab permasalahan, 1) Bagaimana konsep pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-BaitulAmien Jember? 2) Bagaimana implementasi pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-Baitul Amien Jember? 3) Bagaimana evaluasi pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-Baitul Amien Jember? Pendekatan yang digunakan adalah pendekatan kualitatif deskriptif dan jenis penelitian lapangan (field research). Teknik pengumpulan data menggunakan wawancara, observasi, dan dokumentasi. Dan keabsahan datanya menggunakan triangulasi sumber dan teknik. Hasil penelitian ini menunjukkan: (1) Konsep pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-Baitul Amien Jember yaitu: Kurikulum dibuat berdasarkan nilai historis masjid, program pembiasaan keagamaan, dan peringatan hari besar Islam. (2) Implementasi pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-Baitul Amien Jember yaitu: melalui kegiatan Sholat Dhuha, Sholat Dhuhur dan Ashar berjamaah, Pembiasaan Asmaul Husna, Tahfidz Qur’an, Program Hafalan Juz 30, Tartil Qur’an, Tilawati Qur’an (Qiro’ah), Jum’at beramal, Kajian Islami, Tim penindak/ afeksi, Pembelajaran Al-Qur’an, Mata pelajaran PAI, Pembelajaran Bahasa Arab, Buku Penghubung dan Prestasi Siswa, Peringatan Hari Besar Islam, Sholawat dan Hadrah, Nasyid, dan Da’i Cilik. (3) Evaluasi pendidikan profetik dalam membentuk karakter peserta didik di Sekolah Dasar Al-Baitul Amien Jember yaitu: buku penghubung laporan mengenai pelaksanaan ibadah sholat sunnah siswa, ibadah sholat wajib, akhlak siswa dirumah, dan juga lembar surat dari orang tua kepada guru maupun sebaliknya.
Inflammation is said to be a healthy component of the body immune system's reaction. Inflammation is characterised by four key symptoms: pain, redness, heat or warmth and swelling. As secondary metabolites, plants may produce a wide range of phytochemical compounds, which possess anti-inflammatory characteristics. Herbal remedies are important therapies for a wide range of ailments all over the world. There are around 7 500 species of medicinal plants, including representatives from over 17 000 flowering plant species. Even when synthetic chemistry has developed out their expectations, the use of natural ingredients in the manufacture of drugs used in contemporary medicine is unparalleled. By interfering with the biology of inflammation, anti-inflammatory medications may assist to minimise tissue damaging and increase patient’s comfort. Because of the bulky figure of species reachable for study, the effective development of novel naturally taking place anti-inflammatory drugs is mostly dependent on a multidisciplinary approach to discovering new chemicals. Despite the statistic that many review papers have been produced in this field, the conventional of them simply examined the issue from an area perspective. Several non-steroidal anti-inflammatory drugs have been shown to reduce inflammation and pain by decreasing the isoform of the cyclooxygenase enzyme's digestion of arachidonic acid, hence lowering prostaglandin production. Non-steroidal anti-inflammatory drugs have a host of harmful effects. There are, however, medicinal herbs with anti-inflammatory pharmacological properties that have few or no negative effects.
Mediterranean journal of pharmacy and pharmaceutical sciences
Analysis of Edaphic Factors in Few Villages of Mysuru District
Implementation of Statistical Process Control (SPC) techniques in food and beverage industry are crucial to deliver consumable product that meets customer expectations. This study investigated industrial pH forecasting and process stability in a syrup manufacturing facility. We analyzed 1,247 pH observations with three objectives: (1) Quantify instability via control charts, (2) Model pH dynamics using Seasonal Autoregressive Integrated Moving Average (SARIMA) and Classification And Regression Trees (CART), and (3) Develop diagnostic frameworks for unstable processes. Methodologically, Exponentially Weighted Moving Average (EWMA) charts assessed stability; Box-Cox transformed SARIMA (λ=2) with seasonal differencing was used for forecasting; CART identified variable importance. Control charts revealed profound instability: 83.3% of points violated 3σ limits; run tests significant (p<0.001). For SARIMA, (1,0,1)(0,1,1)₁₂ achieved significant parameters (p<0.0001) with improved residual diagnostics versus non-seasonal ARIMA, though minor autocorrelation remained at lag 12 (p=0.003). CART explained training R²=18.86% and test R²=17.93% of pH variation, identifying filling weight and sodium benzoate as key predictors. Crucially, this study demonstrates that forecasting retains diagnostic utility even in unstable environments: SARIMA residuals provide seasonal fingerprints of assignable causes, while CART thresholds guide intervention priorities. SARIMA(1,0,1)(0,1,1)₁₂ demonstrated superior residual properties: eliminated back forecast warnings (present in ARIMA), reduced autocorrelation at lag 24 (p=0.017 vs 0.040), and explicitly modeled 12-period seasonality. While process instability persists, SARIMA provides diagnostic fingerprints of assignable causes through seasonal parameters (SMA₁₂=0.9846, T=513.12) and residual patterns. We conclude that SARIMA offers enhanced short-term forecasting capability, but process intervention remains essential for reliability. The study advocates for integrated instability-informed forecasting combining SARIMA diagnostics, real-time control charts, and expanded sensor deployment.
In Libya, pharmacy education and practice have a similar pattern to medical education and practice. Both sectors of public and private pharmacy education and pharmacy practice still significantly unchanged for more than forty years. It is a traditional pharmacy style of education and practice with a limited change of education and practice. Now, there are more than ten public pharmacy colleges and more than five private colleges established in Libya for a population of seven millions. In addition, there are several intermediate pharmacy institutes which provide a middle degree in pharmacy practice with a very limited knowledge in pharmaceutical sciences and training. Practice of pharmacy in Libya is still a classical mode with only dispensing medicines directly in almost a nonprofessional way and an old fashion way. However, the situation is old and complicated that needs a great deal of attention from different health policymakers and authorities such as Ministry of High Education and Ministry of Health, National Pharmaceutical Union and Libyan Association for Pharmacists.
Mediterranean journal of pharmacy and pharmaceutical sciences
This paper explores the topic of supply chain management using case studies of companies from the automotive industry. Focus is given to the manner in which supply chain strategies in the automotive industry are designed and implemented, and how automotive companies configure their supply chains through collaboration, lean principles and agility. The paper also explores how advanced technologies, notably Big Data analytics and the Internet of Things, are utilised in the automotive industry to maintain a competitive advantage. Key findings made in the discussion are that success in supply chain management is greatly enhanced if firms seek to integrate the different components making up the supply chain. Additionally, the collaboration between entities fosters trust, which is a vital ingredient in the application of lean principles. The automotive industry shows that companies should pursue flexibility and efficiency, which are captured in the notions of agility and leanness, respectively. The paper identifies collaboration and advanced technologies as two critical sources of sustainable competitive advantages to organisations primarily in reference to supply chain management.
NIRS is an advanced, fast, reliable, and non-destructive technique that is extensively used in the chemical, food, petrochemical, and pharmaceutical industries for rapid and reliable standardization. NIRS of Cicer arietinum L. Desi and Kabuli variety seed flours were performed to evaluate secondary metabolites qualitatively. The principal suggested compounds in Cicer arietinum Desi and Kabuli variety were found as adenine, biochanin-A, biochanin-B, biochanin A 7-O- β -D-glucoside, calycosin, cerebroside, choline, ciceritol, citric acid, daidzein, fructose, garbanzol, genistein, glucose, inositol, isoliquiritigen, liquiritigenin, methyl tetracosanoate, ononin, pyrimidine, saccharose, sissotrin, stigmasterol, trifolirhizin. β- amyrin and β-sitosterol. These compounds' presence justifies using Cicer arietinum as a nutritional food and tonic.
Communication is not always direct; it often involves nuanced elements like humor, irony, and sarcasm. This study introduces a novel two-level approach for sarcasm detection, leveraging Convolutional Neural Networks (CNNs). Convolutional neural networks (CNNs) are crucial for many deep learning applications, yet their deployment on IoT devices is challenged by resource constraints and the need for low latency, particularly in on-device training. Traditional methods of deploying large CNN models on these devices often lead to suboptimal performance and increased energy consumption. To address this, our paper proposes an energy-efficient CNN design by optimising batch normalisation operations. Batch normalisation is vital for deep learning, aiding in faster convergence and stabilising gradient flow, but there has been limited research on creating energy-efficient and lightweight CNNs with optimised batch normalisation. This study proposes a 3R (reduce, reuse, recycle) optimisation technique for batch normalization. This technique introduces an energy-efficient CNN architecture. We investigate the use of batch normalization optimization to streamline memory usage and computational complexity, aiming to uphold or improve model performance on CPU-based systems. Additionally, we evaluate its effectiveness across diverse datasets, focusing on energy efficiency and adaptability in different settings. Furthermore, we analyze how batch normalization influences the performance and effectiveness of activation functions and pooling layers in neural network designs. Our results highlight batch normalization's ability to enhance computational efficiency, particularly on devices with limited resources.
Vitamin C is associated with history of the cause of the ancient hemorrhagic disease scurvy. Vitamin C is an essential nutrient with important antioxidant properties. It is required by the body for normal physiological function. The body cannot synthesize vitamin C, it is present in nature through foods and other natural sources and it exists as a nutritional food supplement. The antioxidant activity of vitamin C protects the body from free radical damage. Vitamin C is essential for the development and maintenance of connective tissues. It is used as therapeutic agent in many diseases and disorders. Vitamin C plays an important role in several metabolic functions, as the conversion of the amino acid, tryptophan, to the neurotransmitter, serotonin, and the conversion of cholesterol to bile acids. Vitamin C supplementation resulted in a significant increase in vitamin C levels in populations; its high intake is associated with positive effects on cardiovascular risk factors. Vitamin C protects the immune system, reduces the severity of allergic reactions and helps to fight infections. It has an important role in bone formation, wound healing and the maintenance of healthy gums. There is profound beneficial effect of vitamin C in respect to human diseases as cancer, atherosclerosis, diabetes, neurodegenerative disease and many metal toxicities. Several vitamin C analogs have been produced as anticancer and antioxidant activity. Vitamin C is useful if it is used as adjuvant therapy for several chronic diseases. Thus, this review summarizes the importance of vitamin C in the body’s physiology and biochemistry, in addition, the different mechanisms that vitamin C is implicated to treat different acute and chronic diseases. Future exploration should pay attention to chronic disease management by vitamin C.
Mediterranean journal of pharmacy and pharmaceutical sciences
Background: Dyslipidemia is an established cardiovascular risk factor in persons with type 2 diabetes (T2D), yet the extent to which these conditions co-occur in Africa is unknown. This systematic review and meta-analysis aimed to determine the prevalence of dyslipidemia among persons with T2D in Africa. Methods: Medline, Embase, Global Health, Scopus, and Web of Science were searched on 5 December 2023. This review adhered to the PRISMA guidelines and was prospectively registered on PROSPERO. The prevalence data for dyslipidemia was pooled through a random-effects meta-analysis. The authors assessed heterogeneity and publication bias using I2 statistics and Egger’s test, respectively. Results: Our search identified 8035 records, of which 60 articles involving 20 034 individuals with T2D were included in this review. The pooled prevalence of dyslipidemia recorded 38.6% (95% CI: 34.1–43.4) for high TC (≥ 5.2 mmol/l), 52.7% (95% CI: 44.2–61.1) for high low-density lipoprotein cholesterol (LDL-C) (≥ 2.6 mmol/l), 43.5% (95% CI: 37.1–50.0) for low high-density lipoprotein cholesterol (HDL-C) (< 1.0 mmol/l in men and less than 1.3 mmol/l in women), and 37.4% (95% CI: 32.2–42.9) for high triglycerides (TG) (≥ 1.7 mmol/l). Subgroup analysis based on gender indicated a notably higher prevalence of dyslipidemia among females compared to males. Conclusion: Dyslipidemia is prevalent among persons with T2D in Africa. This highlights the need for early screening, diagnosis, and management of dyslipidemia to mitigate the risk of cardiovascular complications in this population.
The COVID-19 pandemic and related lock downs have accelerated the need for online and remote teaching within university settings. However, due to the abrupt nature of the pandemic, many academic staff were not prepared for this forced transition. This study aimed to understand how the pandemic affected academics at a New Zealand university, with regards to their transition to emergency remote teaching. Specifically, it explores the challenges as well as benefits academics experienced during this transition. Recommendations for future online learning are also made. Academic staff (N 67) at a New Zealand University completed an anonymous online survey. Quantitative data were analyzed statistically using descriptive and inferential statistics, while qualitative data were analyzed thematically. Major challenges experienced included miscommunication from the university, concerns about student access to technology, finding a quiet space to work, lack of digital competence skills, too much screen-time, managing work hours, and work/ life balance. Benefits included enhanced flexibility, enhanced teacher creativity, increasing autonomy of learners, and reduced commute time. Looking forward, academic staff desired future teaching to include blended learning and virtual immersion. New strategies of working remotely are being explored to facilitate teaching and learning while catering to the preferences and skills of both educators and students. Our findings honor the considerable agility of academic staff who sought to sustain and enhance excellence in remote education. At an institutional level our findings point to the need for staff to be supported by their institutions as they further refine their work within new-found spaces
Poor water quality and lack of access to improved sanitation continue to pose a significant threat to human health. The burden of disease analysis suggests that lack of access to safe water supply, sanitation and hygiene is the third most significant risk factor for poor health in developing countries with high mortality rates. Diarrhoea is the leading disease associated with unsafe water supply, sanitation and hygiene and is responsible for the deaths. The study observed that out of the 150 respondents, 37% are 31-40 years, followed by 20-30 years with 32%. 130 (86.7%) respondents have got married, and 61% of the respondents are female. 85% adopted the nuclear family system, and 50% of respondents are illiterates in the study areas. 85% of respondents are daily wage earners, 37%are earnings rupees between 2000-2500 per month. 27% of respondents are landless labours, and 37% of households possess below 2 acres of land. 40% of respondents suffer from health problems, and 44% consume rice as their staple food. 62% of respondents have debts, and 33% got from money lenders. 62% of respondents do not have toilet facilities and go open defecation. 92% of respondents stated that toilet makes dignity, saves time and energy, saves their children school days, makes adolescent girls privacy, save wage loss, and toilet makes quality life.
In this paper, an approach for formulation of generalized field data based model for cylinder head moulding operation. The aim of field data based modeling for cylinder head moulding operation is to improve the output by correcting or modifying the inputs. The goal of the research is to reduce human energy input required while performing cylinder head moulding operation. With the reduction in human energy input, automatically, the productivity of the process will also increase. The study identifies important ergonomic and other work environment related parameters which affect productivity. The identified parameters are properties of sand, physical dimensions of tools, energy outflow of workers, anthropometric data of the workers, working conditions like relative humidity, ambient temperature. Out of all the variables, responses and causes are identified. After dimensional analysis relationship between the dependent and independent parameters, a mathematical model is established having a relationship between output parameters and input. To get the optimized values model is optimized using the optimization technique. Sensitivity analysis is a tool which can be used to find out the effect of input one parameter over the other. The model will be useful for an industrialist to select optimized inputs so as to get targeted responses.
Background: This study investigated the utilization of consumer health informatics in health promotion among the staff of tertiary institutions in Rivers state. Subjects & Methods: A cross-sectional descriptive research design was used. Two research questions guided this paper. The population of this paper comprised all the 13,046 staff of tertiary institutions in Rivers state. A sample of 1226 staff was drawn using multi-stage sampling techniques. An instrument titled, “Utilization of Consumer Health Informatics in Health Promotion Questionnaire” (UCHIHPQ) was adopted for data collection. The instrument was validated and reliability yielded an index of 0.80. Mean and Standard Deviation statistics were used to answer the research questions. The statistical analysis was performed with the use of SPSS v23. Results: The result revealed among others that to a very large extent, the respondents accepted that consumer health informatics was used to improve their nutritional and physical health status. Conclusion: It was therefore concluded and recommended among others that staff of tertiary institutions in Rivers state should regularly use intelligent informatics applications to attain a healthy balance between self-reliance and seeking professional help concerning nutritional and physical health matter