Compliance with pharmacological therapy is the primary key to treating diabetes, but it has not received full attention from clinicians. Several systematic reviews of compliance factors have been conducted in several regions of the country. However, it does not feature studies from Indonesia. This study aims to systematically review the factors that can influence adherence to diabetes mellitus (DM) medication in Indonesia. A systematic literature review was conducted by searching the National (Garuda and Sinta) and International (PubMed and Science Direct) journal databases. Research that met the inclusion criteria was published from January 2011 to December 2020. The quality of the study was assessed using the SQAT guidelines. The research reporting method uses the PRISMA guidelines. Compliance factors are classified based on the domain of compliance factors, according to the World Health Organization (WHO). A total of 370 scientific research articles from the Garuda database (n=36); Science Direct (n = 108); PubMed (n = 18); Sinta (n= 208). Three hundred forty-one research articles were excluded, 29 full-text screening articles, and 16 research articles met the inclusion criteria for analysis. Factors that influence adherence to taking diabetes medication are social and economic (income, education level, and occupation), factors of personnel and health systems (health workers), factors of patient therapy (amount of diabetes medication, frequency of taking medication, and drug products), factors patient's disease (blood sugar levels, disease duration), patient factors (gender, emotional factors, social support, level of knowledge, and treatment satisfaction), and disease management factors (pharmacy counseling and education). Factors that influence adherence to taking DM medication in Indonesia are very diverse and are multi-factor. These factors can serve as relevant intervention targets. Clinicians must consider adjusting the frequency of taking medication and providing social support to DM patients.

Much ilham novalisa aji wibowo

Learning styles describe how individuals acquire, interpret, and assimilate knowledge differently. The effective use of learning styles is essential for effective classroom education. The three most popular learning styles are kinaesthetic, auditory, and visual. This study pursued to learn more about the preferred learning modes of college students. There were 152 respondents from Baneshwor Multiple Campus, Kathmandu Nepal. The data were collected from first year students of BBS, B.Ed. and BA. The researchers used a scale of learning styles (VAK) with 28 items to accomplish the study's goal, and after confirming its validity and reliability, it was applied to the sample. The results show that there are no statistically significant differences in the types of learning patterns preferred by students. Based on these findings, the study recommends that teachers are encouraged to diversify college teaching strategies and methods to suit the preferred learning styles of their students, particularly new students, in order to motivate them to learn in the college environment and to provide the training needs and requirements necessary to enable them to take individual differences among their students into account when identifying educational goals.

Dr dasarath neupane

Diabetes mellitus (DM) is considered as ”the mother of all diseases" because it causes many complications. Knowing and measuring medication adherence may have a greater effect on DM patients. Several studies in Indonesia used a questionnaire scale to measure adherence, however they do not validate the study population, so it could still be found anomalous correlation analysis between adherence and clinical data even though it measured in the same country and scale. This study measure the adherence level of type 2 diabetes patients, evaluates the validity of the medication adherence scale, and analyze the correlation with the clinical outcome of type 2 diabetes patients in four health centers in Banyumas district. The study uses a cross-sectional design in Prolanis type 2 DM patients of January -April 2020. The adherence is measured by MARS-10, backward-forward translation method followed by content and internal validation. Clinical outcome is evaluated based on fasting blood glucose measurement. The results of the MARS-10 Gregory index analysis showed content validity in the high category (IG ≥ 0.8). The content validity showed the results of 9 questions with the value of r count> r table (n = 30, r table = 0.361). Reliability analysis showed Cronbach's Alpha 0.747> 0.6. The measurement showed 80.3% were adherent patients and 19.3% were non-adherent patients. Correlation analysis showed that there was no significant relationship (p> 0.05) between patient adherence and clinical outcome. Those results showed that type 2 diabetes mellitus patients in 4 health centers were categorized as adherent but not correlated with the clinical outcome. This was enabled due to the clinical outcome was simultaneously influenced by several factors: general factors, individual factors, and unpredictable factors.

Much ilham novalisa aji wibowo

Lakes are characterized by dynamic responses to ecological and limnologic disturbances that occur within a constrained timeframe. Some endorheic lakes in the Kenyan Rift valley are presently regarded as environmental hotspots because of complex changes that are revealed through multiple proxies; changing lake levels and surface area, turbidity and sedimentation, and the proliferation of macrophytes, and loss of aquatic biodiversity. Lake Baringo is characterized by widespread catchment degradation accompanied by high levels of turbidity during erratic and decline of the native fishery based on Oreochromis niloticus baringoensis. A careful analysis implicates potential natural factors such as catchment topography and increasing anthropogenic pressure as the main causes of lake ecosystem degradation. This paper recommends several strategies for restoration of Lake Baringo based on an integrated multi-faceted approach that combines catchment rehabilitation, pollution control, and provision of alternative livelihoods such as agriculture to the riparian communities

Omweno job

Artificial Intelligence (AI) is rapidly transforming the landscape of supply chain management, offering unprecedented opportunities for optimization, efficiency, and innovation. This white paper explores the various applications of AI in supply chain operations, highlighting its potential to revolutionize the way businesses manage inventory, logistics, demand forecasting, and more. Through real-world examples and case studies, we demonstrate how AI-driven technologies are reshaping traditional supply chain practices and driving competitive advantage in today's dynamic marketplace.

Kalpak

Chronic kidney disease is a public health problem affecting people worldwide. This study was aimed to examine the characteristics of patients with chronic kidney disease and to identify prevalence of drug-related problems among Libyan patients. This is a descriptive retrospective study carried out in Southern-west part of Libya, Sebha City. Information abstraction forms were used for collection of data. The investigators reviewed the medications, medical records and laboratory data to identify drug-related problems.1 000 patients' files during 2019-2020 were examined and only 120 files were selected for this study. The majority of the participants were male (73, 61.0%) and the mean age was 56.1 years. 576 comorbidities among the selected patients were identified (73.61%) and the average number per patients was 4.8 concurrent diseases. There were 1 350 medications prescribed and the average of prescribed drugs per patient was 11.25. The majority of patients use more than 10 drugs (64, 53.3%) and the average length of staying in the hospital was 5.58 days. 502 drug-related problems were identified with an average of 4.18 per patient. Untreated conditions such as Hyponatremia and anemia were the highest rate of drug-related problems identified (199, 39.6%) followed by improper drug selection (82, 16.3%) such as cefotaxime, vancomycin and aminoglycoside for chronic kidney disease and drug use without indications such as antibiotics (68, 13.5%) and over-therapeutic dose such as metoclopramide(63, 12.5%). In conclusion, all the patients have polypharmacy and the majority have comorbid conditions and chronic kidney disease with frequent drug-related problems, thus, to lower the incidence rate of drug-related problems, therapeutic interventions are needed. Subsequently, it is a crucial to involve clinical pharmacist in hospital to improve the care of patient with chronic kidney disease.

Mediterranean journal of pharmacy and pharmaceutical sciences

The microbiological quality of purified water is a crucial aspect in the healthcare industry to ensure safety for different applications and uses. Understanding the trend and forecasting would be of prime importance to take proactive control and protective measures before catastrophic excursions might occur leading financial and health casualties. This study analyzes microbial density, a key metric for monitoring water purification system efficacy in healthcare facilities. The objective was to transform irregular, cumulative data into a regular time series and identify the optimal ARIMA model for forecasting to support predictive maintenance and regulatory compliance. Preliminary modeling attempts were conducted using simpler approaches such as linear, exponential and Holt-Winters methods without showing promising outcomes. Descriptive statistics and distribution analysis, including the Johnson Transformation for normality, were performed. ARIMA models with differencing orders d=0, d=1, and d=2 were fitted to the Aggregated cumulative logarithmically transformed data series, with the best model at each order selected based on minimum AICc. Model adequacy was assessed through parameter significance and residual diagnostics (Ljung-Box test). Descriptive statistics showed the aggregated series non-normal (p<0 d=0) AICc=319.39) d=2) AICc=258.98)>0.5). The ARIMA(2, 1, 2) model (d=1) was optimal (AICc=256.91), with all significant parameters and white noise residuals (p>0.3), effectively addressing non-stationarity. Forecasts from ARIMA(2, 1, 2) predict stable future growth. The ARIMA(2, 1, 2) model with first-order differencing is the most appropriate and robust model for forecasting data trends. Its strong statistical fit and reliable residual properties make it a valuable tool for predictive maintenance, optimizing resources, and enhancing patient safety in healthcare water systems, provided model performance is continuously monitored. Addressing data limitations and processing requires monitoring and exploring alternative models for future improvement.

Mostafa eissa

Cisplatin, cisplatinum, or cis-diamminedichloroplatinum (II), is a well-known chemotherapeutic drug. It is one of the most widely used chemotherapeutic agents for various solid tumors in the clinic due to its high efficacy and broad spectrum. The antineoplastic activity of cisplatin is mainly due to its ability to cross-link with DNA, thus blocking transcription and replication, Subsequently inducing apoptosis in cancer cells. However, because of drug resistance and numerous undesirable side effects such as severe kidney problems, allergic reactions, decreased immunity to infections, gastrointestinal disorders, hemorrhage, and hearing loss especially in younger patients. Other common side effects include ototoxicity, neurotoxicity, gastrointestinal toxicity, hematological toxicity, cardiotoxicity, and hepatotoxicity. These side effects together reduce the life quality of patients and require lowering the dosage of the drug, even stopping administration, thus weakening the treatment effect Therefore, substantial effort has been made to explore the complicated biochemical processes involved in the toxicology of cisplatin, aiming to identify effective ways to reduce or eradicate its toxicity. This review summarizes and reviews the updated advances in the toxicological research of cisplatin.

Nehal

Neuro-Behçet's Syndrome (NBS) is a rare yet potentially severe neurological manifestation of Behçet's disease (BD). Although the condition frequently affects the brainstem, basal ganglia, and diencephalon, [1,2] its occurrence as a mass-like lesion (pseudotumor) is exceedingly uncommon. These tumefactive lesions can resemble neoplastic, infectious, or demyelinating conditions, which often hinders prompt diagnosis and treatment. [1-3] In this report, we discuss a 56-year-old female from Libya with a history of Behçet’s disease, who presented with headaches, visual disturbances, and cognitive slowing. Magnetic Resonance Imaging (MRI) findings indicated a high T2/FLAIR signal in the bilateral basal ganglia and the left cerebellar hemisphere, extending into the middle cerebellar peduncle, accompanied by faint contrast enhancement.

Karishma

A huge number of embedded devices offer their services to the end users in pervasive environments. Context-aware discovery is a rich and very dynamic system extensively applied for combining the different mobile devices, sensors, actuators and software functions. Existing knowledge-based system using the Common KADS (CKADS) system represent contextual information but algorithm are not effective in predicting the user behavior. Current Location-aware Private Service Discovery (LPSD) considers the discovery path for reducing the distributed topology and flooding operations. LPSD in pervasive environment is not effective in accurately locating the required service by searching method. To present an architecture principle for accurately predicting the user behavior in mobile-pervasive computing environment, Affluent Context Aware Systems based on the User Behavior (ACAS-UB) is proposed in this paper. ACAS-UB mechanism contains the class of mobile devices that can sense (i.e.,) search the physical pervasive environment. Affluent means effectively engaged mobile devices in ACAS-UB mechanism which uses the context information. The ACAS-UB context information contains the judgment of the similar users and also the response from the other users for improving the effectiveness in pervasive environment user behavior prediction. Master-slave concept is used in the ACAS-UB mechanism for the easy collection of response information from the different users. ACAS-UB mechanism construct the user profile initially from the context information, then performs the similarity measure and finally work is to predict the user behavior. ACAS-UB mechanism provides the hints which are necessary to explore different options, rather than just limiting the options in mobile-pervasive computing environment. ACASUB mechanism is experimented on the factors such as message overhead in pervasive environment, scalability and approximately 10 % lesser processing time.

Dr h shaheen

A mobile adhoc network is a Self-configuring network of mobile routers connected by wireless links. In the mobile adhoc network, each and every device moves independently in any direction so that there are frequent changes in the links. It is essential to learn the position of the neighbors because there is increase in location-aware services. So, there is a chance that the malicious nodes are easily abused the process. The significant problem in mobile networks is correctness of node locations and also it is primarily challenging in the presence of adversaries. So, the neighbor position verification protocol is used to a fully distributed, a lightweight NPV procedure which allows each node to obtain the locations advertised by its neighbors and asses their truthfulness. Further to extend neighbor position verification protocols in the proactive model that need to each node constantly verify the position of its neighbors. So, we introduce a technique called secure link state updating which provides secure proactive topology discovery that is multiply useful for the network operation. This technique is vigorous against individual attackers, it is capable to adjust its capacity between local and network-wide topology discovery, and also operating in networks of frequently changing topology and membership nodes. Experimental results show that the proposed system is high efficiency in terms of security when compared to the existing system.

Dr h shaheen

Abstract In every hospital, Casualty department deals with the emergency cases. These emergency cases also includes medicolegal cases like road traffic accidents, Poisoning, assaults are dealt in the casualty and detailed MLC report is made here after giving the proper primary treatment and life saving measures. The police is informed about MLC as early as possible. Important preventive measures like drawing public attention and awareness towards traumatic casualties can help in the prevention or management of unnatural (medicolegal cases). Considering the importance of above points, a one year retrospective study from 1st March 2018 to 31st March 2019 was conducted in the Casualty department of Tertiary Care Centre.

Dr. avinash harishchandra waghmode

Homoeopathy is one of the latest systems of medicine discovered at the latter part of 18th century, first rose to prominence in the 19th century due to its success in treating epidemics and is currently second largely utilized system of medicine globally. Prophylaxis through Homoeopathy has been strongly promulgated by stalwarts and popular among the general public in the recent times, but still controversy revolves around it. Aim of the study is to review the available literature for analyzing the usefulness of Homoeopathy in prophylaxis of human, animal as well as plant diseases. A comprehensive search has been made in electronic database aimed to target the available literature of various levels of evidence. Examples are summarized under different areas of applicability of homeopathic medicine as prophylactic. Currently there is convincing evidence to support effectiveness of Homoeopathy in prophylaxis, though sparse. More rigorous research studies are warranted to enlarge the horizon of its application.

Dr deepthi gilla

This study reviews indicators of poverty and the government policies and strategies to reduce and alleviate poverty in Jordan and investigate the effects of information technologies (ITC) on the poverty in Jordan, Population growth rate, GDP at current prices, consumer price index, and human development index in addition to percentage of population use internet, percentage of export and import of ITC of the total trade are used as dependent variables. Data from different resource is collected from 1999 in which the internet started in Jordan till 2018 on the abovementioned variables. The results show that there are negative impacts of the percentage of population using internet on the poverty rate while there are positive effects of human development index and consumer price index on poverty

Iaeme

Artificial Intelligence (AI) has emerged as a transformative force in the healthcare domain, revolutionizing various aspects of medical research, diagnostics, treatment, and patient care. This paper provides an overview of recent developments and applications of AI in healthcare, highlighting its potential to enhance efficiency, accuracy, and accessibility in medical practices. The integration of machine learning algorithms, natural language processing, and computer vision techniques has enabled AI systems to analyze vast amounts of medical data, support clinical decision-making, and personalize treatment plans. Additionally, AI-powered technologies play a crucial role in predictive analytics, early disease detection, and the optimization of healthcare workflows. Despite the promising advancements, challenges related to data privacy, ethical considerations, and regulatory frameworks need to be addressed to fully harness the benefits of AI in healthcare.

Dhruvitkumar talati

In this summary, the ideas used by the sales management to enhance the effective Selling of items to clients are addressed in detail. Overall, the report focuses on sales management, describing how the Marks and Spencer organisation's sales can be enhanced through the adoption of appropriate strategies and approaches that would aid in improving sales in the face of increasing market competition. The company modifies ongoing sales management techniques as well as sales organisation factors in an order to promote and retain competitiveness, highlight the significance of the sales organisation, and the necessity of such modifications appears to be stronger in the contemporary business environment.

Zamzam abdelazim

The study was conducted by researcher on Coping strategies adopted among adolescents in selected Schools, Distt. Mohali, Punjab. The main aim of this study was to assess on Coping strategies adopted among adolescents, to find out the association between coping strategies adopted among adolescents with their selected socio demographic variables.Descriptive Research design has been used to assess the Coping strategies among 400 adolescents studying in Golden Bell’s school,Sector-77 and Shemrock School, sector 69, in Distt Mohali,Punjab. The sample was selected by Systematic random sampling technique. Pilot study was conducted on 10% of population and sample consists of 40 adolescents. Data on Coping Strategies adopted among adolescents were collected under two sections, Section A- Socio demographic variables and Section B- Coping Strategies Scale of Prof. A.K. Srivastava to assess coping strategies adopted among adolescents. Data was analyzed through Descriptive and inferential statistical methods. The results showed that majority of adolescents were adopting moderate Coping Strategies.There was significant association between Coping Strategies adopted by adolescents with their selected demographic variable such as Class of study, Occupational Status of Mother and Monthly Family Income.Based on the findings of the study, recommendations were drawn on nursing service, nursing education, nursing administration and nursing research.

Anu sharma

Internet of Things (IoT) enhances the global connectivity to all the remote sensing devices. It enables the connectivity of communication and processing the real-time data that has been collected from an enormous number of connected sensing devices. There is an increase in the IoT technology that leads to various malicious attacks. It is more important to overcome the malicious attacks, mainly to stop attackers or intruders from taking all the control of devices. Ensuring the safety and accuracy of the sensing devices is a serious task. It is very much important to enabling the authenticity and integrity to obtain the safety of the devices. Dynamic tree chaining, Geometric star chaining and Onion encryption are the three solutions that has been proposed in this project for in order to enable authenticity and integrity with information hiding for secure communication. The simulation results are driven displays that the proposed system is very stable and much better than other existing solution in means of security, space and time.

Jebin bose s

The study has examined the similarities and differences in the coverage of two Palestinian news agencies Ma’an and Palestinian Information Center (PIC) on the reactions of Palestinian President Mahmoud Abbas’s regarding relocating the US embassy from Tel Aviv to Jerusalem. The study has also aimed to explore the use of four function of framing by Entman 1993 in the news stories of both agencies. Qualitative content analysis has been adopted to achieve the aim of this study. The total sampling number was 9 news stories; 3 stories have been retrieved from Ma’an, and the other 6 have been retrieved from PIC. The time frame has started from December 5, 2017 which marked the day of informing Abbas by Trump’s decision to move the Embassy until December 22 2017 which was a day after gaining a sweeping victory in UN by President Abbas through a resolution that rejected the decision. Both of the news agencies were supportive to President Abbas in their coverage and none of them has any negative coverage about him. From the sampling number it can be seen that PIC has paid more attention for the coverage of this issue than Ma’an. However, PIC has ignored the success of President Abbas for achieving UN resolution against Trump’s decision. Morover, all the news stories has included “define the problem” while excluded “diagnose causes” functions. However both “make moral judgment” and “suggest remedies” have been included in all news stories of Ma’an, and only half of news stories of PIC.

Mohammed fadel arandas

Using realia media in learning activities will provide an interesting learning experience for students so that they are more active in participating in learning. This discussion aims to describe and analyze the application of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember. The research approach uses qualitative and case study research types. Data collection techniques using observation, interviews, and documentation. Analysis of the data used in this study using the Miles and Huberman model consisting of data condensation, data presentation, and concluding. The validity of the data was tested by using triangulation of sources and techniques. The results of this study indicate (1) Realia media planning in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: Identifying the needs and characteristics of students, formulating learning objectives, summarizing material, writing instructional media scripts, conducting tests and revisions. (2) The implementation of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: the teacher learns the instructions for using the media, and all equipment must be in a state of readiness so as not to be disturbed by technical matters, and keep students steady. conducive for learning activities to take place. (3) Evaluation of realia media in improving student learning outcomes at MIMA 35 Nurul Ulum Jember, namely: learning media according to KD and indicators, learning media according to the estimated time and assignments in the Buena book, learning media can attract students' attention, media learning is in accordance with the times/updated, thematic assessment criteria are spiritual, social, knowledge, and skillful.

Educare: journal of primary education