This article presents the relevance of Mahatma Gandhi’s philosophy toward the Social Work Profession in India. It is a review article prepared with secondary data available in books and journal articles. Mahatma Gandhi was a prominent leader of the Indian independence movement in British-ruled India. His principles viz. Non-violence, Satyagraha, Swadesi, Sarvodaya and Democratic leadership led Indians to strive to bring independence to India. He had launched the freedom struggle movements viz. Dandi Salt March, Quit India and Non-Cooperation Movement for Independence. Gandhi found a few disparities in India and developed a concept called constructive programme with the points of conflicts between different religious groups, castes, untouchability, fear arising out of ignorance, economic disparities, decaying condition of our villages, the plight of Adivasis, Kisans and the labourers, and the position of women, etc. Gandhiji motivated his followers, and freedom fighters to work on the said disparities. These constructive programme points are very relevant to the social work profession and nowadays many social workers are working on these programmes. This article presents how Gandhian principles like Nonviolence, Satyagraha, Swadesi, and Sarvodaya are relevant to the social work profession. Gandhiji Principles such as seeking truth through service to the poor and needy, individual self-development and self-reliance, nonviolence social action and material simplicity are very related to the code of ethics of professional social workers. The study suggested that professional social workers should practice the principles of Mahatma Gandhi in their interventions. The associations of professional social workers should adopt the Gandhiji principles and include them in the social work curriculum

Vijaya abraham

Urolithiasis has been a common problem for centuries and has a high recurrence. This review covers the forty-nine (49) antiurolithiatic plants of the family Lamiaceae used in 11 countries. Hopefully, this review will be helpful for the general public and attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed

This paper compares different optimizable machine learning classification models to predict eight types of anemia from complete blood count (CBC) data. For the research, we used a publicly available Kaggle dataset containing 1281 observations, 14 predictors, and the diagnosis as the categorical target variable with nine categories (eight types of anemia and the healthy category). First, we examined the dataset and observed the histograms of some of the predictors. We compared the values of predictors of observations with no anemia to the observations where any anemia was diagnosed. Next, we used MATLAB R2024a to train and test nine optimizable machine-learning classification models. These models were Ensemble, Tree, SVM, Efficient Linear, Neural Network, Kernel, KNN, Naïve Bayes, and the Discriminant. Bayesian optimization was used to optimize the hyperparameters of all these models. We used 90% of observations for training and 10% of observations for testing. During the training, 10-fold cross-validation was used to prevent overfitting. The results showed the best accuracy was reached with the Ensemble classification model using the bag ensemble method (validation accuracy: 99.22%, test accuracy: 100%). Finally, we inspected our best classification model in more detail. We calculated the permutation feature importance to determine the contribution of each predictor to the final model. The results showed 6–7 important predictors, while the most important feature was the amount of hemoglobin.

Ladislav végh

One of the unique features of Indian society is prevalence of caste system which was originated thousands of years back to demarcate the people engaged in different occupation or jobs. Initially it was not much rigid but gradually people belonging to upper castes for their own selfish means to maintain their monopoly made this arrangement hereditary and started treating people of lower castes disgracefully. For preservation of this system, people started controlling their women to prevent inter-caste marriages and the concept of endogamy came up. This robbed away many types of freedom from women. For women belonging to lower castes, this situation is worse as they are doubly subjugated on the basis on caste as well as gender. Men belonging to their own caste treat them as secondary beings. This paper throws light on this intersection. How intersection of these two kinds of inequalities place them at the lowest position in Indian society. Dr. B.R. Ambedkar rises as their leader who all his life worked for empowerment of downtrodden section of society. He argues that education is the primary tool for evading these differences among people. He further emphasizes to adopt the concept of exogamy to break the backbone of Indian caste system and to immediately leave a religion or culture which legitimizes such system of inequality among people of the same land.

Swati sharma

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.

Dr.renu dhupper

Crinum jagus, family- Amaryllidaceae, commonly called river lily is an important medicinal plant used in the treatment of cough. It is an anti-venom agent used among the rural people in south-western Nigeria. The research is aimed to investigate the phytochemical constituents and analgesic activity of Cinium jagus bulb in BALB/c mice. The bulb was extracted with methanol in a soxhlet extractor apparatus. Phytochemical screening was performed according to standard methods. Alkaloid fraction was obtained using separation by extraction and characterized by infra-red (I.R) analysis. Acute toxicity test was done before analgesic activity was determined in BALB/c albino mice using the hot plate model. The result indicated the presence of some bioactive constituents like alkaloids, terpenoids and saponin. I.R bands were observed at 1064.74 cm 1 (C-O) stretch of alcohol; 1415.80 cm-1 (C-H) bend of alkyl groups and 1639.55 cm-1 (N-H) stretch of amine among others. The extract significantly increased the mean latency time of mice on the hot plate when compared with control with 100 mg/kg at 120 minutes. This study indicates that the Crinum Jagus bulb possesses analgesic potential.

Mediterranean journal of pharmacy and pharmaceutical sciences

Teaching and learning computer programming is challenging for many undergraduate first-year computer science students. During introductory programming courses, novice programmers need to learn some basic algorithms, gain algorithmic thinking, improve their logical and problem-solving thinking skills, and learn data types, data structures, and the syntax of the chosen programming language. In literature, we can find various methods of teaching programming that can motivate students and reduce students’ cognitive load during the learning process of computer programming, e.g., using robotic kits, microcontrollers, microworld environments, virtual worlds, serious games, interactive animations, and visualizations. In this paper, we focus mainly on algorithm visualizations, especially on the different models of data structures that can be effectively used in educational visualizations. First, we show how a vector (one-dimensional array), a matrix (two-dimensional array), a singly linked list, and a graph can be represented by various models. Next, we also demonstrate some examples of interactive educational algorithm animations for teaching and learning elementary algorithms and some sorting algorithms, e.g., swapping two variables, summing elements of the array, mirroring the array, searching the minimum or maximum of the array, searching the index of minimum or maximum of the array, sorting elements of the array using simple exchange sort, bubblesort, insertion sort, minsort, maxsort, quicksort, or mergesort. Finally, in the last part of the paper, we summarize our experiences in teaching algorithmization and computer programming using algorithm animations and visualizations and draw some conclusions.

Ladislav végh

Urolithiasis is a common worldwide problem with high recurrence. This review covers forty four (44) families starting from alphabet A to L and includes Bignoniaceae (05); Araceae, Burseraceae, Combretaceae (04); Annonaceae, Berberidaceae, Betulaceae, Gentianaceae, Gesneriaceae (03); Aizoaceae, Adiantaceae, Alismataceae, Aristolochiaceae, Asclepiadaceae, Bombacaceae, Cannabaceae, Cyperaceae, Geraniaceae and Iridaceae (02); Acoraceae, Adoxaceae, Armatellaceae, Aquifoliaceae, Araliaceae, Averrhoeaceae, Basellaceae, Begoniaceae, Bromeliaceae, Cactaceae, Calophyllaceae, Campanulaceae, Caprifoliaceae, Caricaceae, Celastraceae, Clusiaceae, Dracaenaceae, Dryopteridaceae, Elaeagnaceae, Grossulariaceae, Hyacinthaceae, Hydrangeaceae, Hypoxidaceae, llecebraceae and Juglandaceae (01) plant used globally in different countries. The plants of three families Asteraceae, Fabaceae and Lamiaceae are revisited to provide updated information. This review will not only be useful for the general public but also attract the scientific world for antiurolithiatic drug discovery.

Dr. salman ahmed

This study investigated the effect of health education on posture practices in reducing low back pain among patients in Rivers state, Nigeria. To achieve this, pretest-posttest quasi-experimental design was employed, and the study targeted 170 patients at the University of Port Harcourt Teaching Hospital in Nigeria. Two objectives having corresponding research questions and hypotheses guided the study, while convenience and stratified sampling techniques were used to select 50 participants, comprising 35 patients from the general outpatient clinic department and 15 patients from the spine physiotherapy unit, with 20 male and 30 female participants. Data collection was done by administering a self-structured, self-administered questionnaire, titled health education effect on ergonomic practices and low back pain, which had a reliability coefficient of 0.75. Both descriptive and inferential statistics were used to answer the research questions and test the hypotheses. The research found that educating patients on various methods of preventing low back pain, including healthy weight maintenance, warm-up exercises, and proper postural habits while sitting and standing, had a noteworthy impact on reducing pain. Moreover, the study also revealed that health education programmes were successful in therapeutic posture practices and reducing low back pain in patients residing in Rivers state. Therefore, the study concluded and recommended that health education interventions for functional and therapeutic posture practices are effective strategies for reducing low back pain among patients in Rivers state, and healthcare providers should incorporate these interventions into their treatment plans for patients suffering from low back pain.

Fxintegrity publishing

Hypoglycemia is a common complication of intensive diabetes mellitus therapy. This study was aimed to review the profile of admitted Libyan cases of non-pregnant adults and adolescents. A retrospective study for patients admitted to Tripoli Diabetes Hospital, Tripoli, Libya. Data were collected from medical files of diabetic patients with hypoglycemia from January 2017 to July 2018. Thus, during this period, a total of 29 cases with hypoglycemia were admitted to the hospital. Their age was ranged from 18 to 86 years in which 76.0% were female, 25.0% were non-smokers, 59.0% were married and 55.0% were non-employers. Patients with diabetes mellitus (86%) showed hypoglycemia attack per month of 3.90 ± 2.25. From the 25 cases with diabetes mellitus, 7.0% were newly diagnosed (> one year), 45.0% their duration of diabetes mellitus were more than 9 years and 35.0% were less than nine years. Their Hemoglobin A1C was on target (6.5–7.0%) in 21.0% of the cases, in which 17.0% were on below target range (< 6> 7.0%). 14.0% were on glibenclamide, 3.0% on glimepiride and 69.0% on insulin. Patients on insulin therapy twice daily in 28.0%, triple in 17.0% and basal bolus regime in 24.0%. Hypoglycemia unawareness was presented in 17.0%, hypoglycemia was major in 45.0% of the cases, and in 38.0% were in daytime. Insulin induced hypoglycemia were in 66.0%, and suicidal attempt were in 10.0%. Exercise induced hypoglycemia 10.0% and 3.0% of cases with malignancy induced hypoglycemia. Co-exist systemic illness was mainly absent in 69.0% but cardiovascular diseases in 14.0% and renal diseases in 7.0%. Majority of cases were discharged in good condition (86.0%) and 14.0% discharged against medical advice. Hypoglycemia mostly occurs in patients with diabetes mellitus treated with insulin and in most the cases were reversible and saved with good management. Thus, patient education is a fundamental issue in prevention and reducing complications of hypoglycemia in patients with diabetes mellitus.

Mediterranean journal of pharmacy and pharmaceutical sciences

Provision of clean water is one of the United Nations Sustainable Development Goals. Water quality assessment as an ongoing exercise, in view of the threat of contamination from natural sources and human activities, plays a pivotal role in the sustainable management of water resources. Potable water samples were collected from Enugu Metropolis for water quality assessment. The physicochemical parameters were determined using APHA (1995 - 1998) protocols, and the presence of 7 heavy metals (Chromium, Zinc, Manganese, Silver, Cadmium, Iron and Lead) in the waters were determined using Atomic Absorption Spectrophotometer (AAS). The results of the physicochemical analysis of the four samples show a pH range of 8.60 - 8.95mg/l; this result showed that pH of the water samples were slightly alkaline and above the WHO stipulated range of 6.50 - 8.50. Acidity ranged from 5.00 - 6.88mg/l, while alkalinity values were between 7.52 - 13.00mg/l. The total dissolved solid (TDS) and total solids (TS) was present in very minute quantities and below their permissible limit of 0.45mg/l; while total suspended solid (TSS) was not present at all. The heavy metal analysis showed that all but 2 heavy metals (Cadmium and Lead) were below the permissible standard set by the WHO in all four samples. Cadmium was present in samples A and C with values 0.021mg/l and 0.006mg/l respectively, which is above its WHO limit of 0.005mg/l; while Lead was present in samples A, B and C with values of 0.021mg/l, 0.011mg/l and 0.015 mg/l respectively, which were above the WHO limit of 0.010mg/l. Given the well-documented toxicity of certain metals, there is a need for safety checks to be carried out in potable water companies to address the source of this contamination and ensure production of safer drinking water.

Okechukwu obed chukwuemeka

Background In 2016, the Tanzanian government shifted the vaccine supply chain responsibilities from the Medical Store Department (MSD) to the Expanded Program on Immunization (EPI) to reduce costs. However, cost estimates that informed the decision were based on invoice value of vaccines and related supplies, rather than a proper economic evaluation study. Therefore, this study aims to compare the actual storage and distribution costs of vaccines and related supplies between MSD to EPI. Method Micro-costing approach was used to estimate resource use at MSD and EPI for the year 2018. Data were collected through a review of documents, warehouse databases, and interviews with key staff at MSD and EPI. We included both capital and recurrent costs. Microsoft Excel® was used for analysis with input data from the UNICEF forecasting tool, WHOs vaccine volume and capacity estimation tool, diesel generator calculator, and supply chain service fee estimator version 1.02. Results The total vaccine storage and distribution costs were estimated to be USD 1,996,286 at MSD and USD 543,648 at EPI. Distribution and program management costs represented 41% (USD 819,288) and 38% (USD 762,968) of the total costs at MSD, while storage and distribution costs represented 43% (USD 234,423) and 34% (USD 184,620) of the total costs at EPI, respectively. The cost drivers at MSD were fuel and transport (21%), receiving and dispatch (19%) and, program management personnel cost (14%), while at EPI were storage space (20%), program management personnel cost (18%) and fuel and transport (15%). Conclusion The storage and distribution of vaccines in Tanzania via the EPI reduced the vaccine supply chain cost to about 27% of the program costs at MSD.

Dr. omary swallehe

Coronaviruses are closely related virus causing several types of respiratory tract infections ranging from common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS) and severe acute respiratory syndrome (SARS). There are many other ways in which Covid-19 will impact the existing public health issues. With the rising number of covid19 cases, it has been reported that people with the weaker immune system are at higher risk. We identified the mechanism of action of cyclophosphamide and its impact on the lung. Pulmonary side effects associated with cyclophosphamide are rare and dose-related. They manifest as early-onset pneumonitis, in patients with symptoms especially like cough and dyspnea. Acrolein in cyclophosphamide is the main component linked with the toxic effect. We hypothesize that use of cyclophosphamide, an antineoplastic agent and immunosuppressive agent used in treating many cancers and autoimmune disorders (like rheumatoid arthritis and ANCA vasculitis), induces severe lung toxicity which can be one of the contributing factors for the increased risk of COVID 19 complication. These factors are to be recognized to improve prevention and control of the disease.

Ankul singh

Tidal and riverine flows are viable energy sources for consistent energy production. Installing and operating marine hydrokinetic (MHK) turbines requires assessing any potential impact of debris accumulation on turbine performance and sediment transport. More specifically, MHK devices may alter the natural sediment transport processes and cause debris accumulation, disrupting the natural sediment dynamic. In turn, these processes could affect the turbine’s performance. We carried out a series of large-eddy simulations coupled with bed morphodynamics, introducing various debris loads lodged on the upstream face of a utility-scale turbine tower. The objective is to systematically investigate the impact of debris accumulation on the performance and hydro-and morpho-dynamics interactions of the horizontal-axis MHK turbine under rigid and mobile bed conditions. To that end, we (1) employed the actuator line and surface methods for modeling turbine blades and the nacelle, respectively,(2) directly resolved individual logs, and (3) solved the Exner equation to obtain the instantaneous bed deformation of the mobile bed. Our analysis revealed that while the spinning rotor amplifies scour around the pile, debris accumulation modifies the sediment dynamics of the system. Also, it found that morphodynamic processes accelerate the wake recovery, slightly enhancing the turbine's performance.

Hossein seyedzadeh

Learning is a conscious effort made by individuals to acquire various kinds of abilities (competencies), skills (skills), and attitudes (attitudes) through a series of learning processes that will ultimately result in behavioral changes in the individual. The learning process in schools tends to emphasize the achievement of changes in cognitive (intellectual) aspects which are carried out through various forms of approaches, strategies, and certain learning models. Learning systems that specifically develop affective abilities have received less attention, affective abilities are only used as a nurturing effect. This study aims to (1) find out whether online learning is able to bring out the affective abilities of prospective study program teachers (2) analyze the affective abilities of prospective teachers in online learning. The data used in this study is qualitative data. The technique used is a questionnaire. This questionnaire was given to respondents, namely students of PGSD teacher candidates at Muhammadiyah University of Pringsewu. The results of the study indicate that affective abilities can appear in online learning as evidenced by the results of the questionnaire that has been given to respondents. The indicators of affective ability in this study include attitudes, interests, self-concept, values, and morals, all of which are in the good range. This means that the results of students' affective abilities can be said to be valid or appear in online learning

Educare: journal of primary education

The propagation of using drugs on the road was the main reason for focusing on the development of the rapid methods which are used to detect the presence of drugs which may have been taken. Oral fluid has become a popular specimen to test for the presence of drugs. In vitro tongues were prepared with different concentrations of hydroxypropyl methyl cellulose (HPMC E4M); one of these concentrations was chosen to be used for tests. Chemical reagents were prepared which included: cobalt thiocyanate, fast blue B test, Marquis, Mandelin and Zimmerman reagents which were used to examine eight drugs in three different concentrations, each of 10.0 mg/mL, 05.0 mg/mL and 01.0 mg/mL where each reagent was used for a particular drug. The drugs were amphetamine, cannabis, cocaine, 3,4-methylenedioxymethamphetamine (MDMA), codeine, diazepam, heroin, methadone and morphine. Each drug was tested by a specific reagent. The difference in the concentrations gave various results in terms of achieving positive results and the ratio of the clarity of the colour. The amount of the drug on the tongue was between 20 μg and 400 μg. Positive and negative results were obtained in this study. Most of the high concentrations gave positive results; however, the low concentrations gave different results which were between positive, negative and light or very light in colour. In conclusion, there is an explanation of the difference in sensitivity of the effects of the different kinds of reagents in the drug, such as cobalt thiocyanate which was more sensitive at the low concentration of heroin and gave a clear result.

Mediterranean journal of pharmacy and pharmaceutical sciences

In the last decade, we have observed the usage of artificial intelligence algorithms and machine learning models in industry, education, healthcare, entertainment, and several other areas. In this paper, we focus on using machine learning algorithms in the loan approval process of financial institutions. First, we briefly review some prior research papers that dealt with loan approval predictions using machine learning models. Next, we analyze the loan approval prediction dataset we downloaded from Kaggle, which was used in this paper to compare several machine learning classification models. During this analysis, we observed that credit scores and loan terms are the attributes that probably most affect the result. Next, we divided the dataset into a training set (80%) and a test set (20%). We trained 27 various machine learning models in MATLAB. Three models were optimized with Bayesian optimization to find the best hyperparameters with minimum error. We used 5-fold cross-validation for the validations to prevent overfitting during the training. In the following step, we used the test set on trained models to measure the models’ accuracy on unseen data. The result showed that the best accuracy both on validation and test data, more than 98%, was reached with neural networks and ensemble classification models.

Ladislav végh

Good prescription writing is essential for dispensing the right drug formulation and dose. When prescriptions are not legible, inaccurate and do not include complete information, there is a possibility of prescribing errors occurring, which leads to adverse events. Poor handwriting is another important issue that makes the information unclear; especially look-alike drug names that may be confused by the pharmacist. World Health Organization has issued a practical manual for Good Prescribing that includes the essential information that should be included in a prescription. In this study, we attempt to investigate the problem of bad prescribing habits in out-patient prescriptions in Benghazi, Libya. Two hundred seventy-five out-patient prescriptions were collected from two private pharmacies on four consecutive days. These prescriptions were scanned for any errors or missing information depending on the standard criteria established by World Health Organization in its practical manual "Guide to Good prescribing". The collected data were processed and statistically analyzed by using SSPSS to calculate the percentage of missing information. Eleven percent (11.0%) of the prescriptions had no address or name of the prescriber on them while 58.0% had no date written on them and in 21.0% the prescriber did not sign the prescription. The age of the patient was only written on 38.0% of the prescriptions. The name of the medication was not clearly written in 18.0% of the prescriptions, while the dosage form of the medication was not written at all in 18.0% and not clearly written in 20.0% of the prescriptions. The total amount of the prescribed drug was not written in 30.0% of the prescriptions. It is to conclude that prescribers included in this study wrote prescriptions with a lot of missing and unclear information as per WHO guidelines for a good prescribing. This shows the weak attitude of Libyan prescribers toward the different aspects of “Good Prescribing”.

Mediterranean journal of pharmacy and pharmaceutical sciences

Study DesignA multicenter retrospective study. ObjectivesTo determine the rate of Apex facet fusion in children with Early Onset Scoliosis treated surgically with the Active Apex Correction (APC) technique. MethodsSeventeen patients were treated with the APC technique as index surgery for Early Onset Scoliosis with more than 1 year of follow-up. A 3D CT scan was done to determine the facet fusion rate in the deformity’s apex controlled with posterior tethering. ResultsThe average follow-up time was 26.4 months (12-56), Average age at index surgery was 81.2 months (30-132), and average number of surgeries done 1.3. Apical vertebrae studied for facet fusion were the 3 vertebrae in the apex in each patient that were subjected to posterior tethering according to the APC technique. In total they were 86 apical vertebrae (172 Facets studied with 86 convex side, 86 concave side). Our observations showed that 29 facet joints were fused (16% of the total facets studied),15 were on the convex, 14 on the concave side (no statistically significant difference). Regarding the facet joint distance in the non-fused facets was 0.99 mm on the convex side and 1.08 mm on the concave side with no statistical significance difference. ConclusionAPC for Early Onset Scoliosis achieves apical growth modulation and control utilizing posterior tethering without inducing fusion. This study demonstrated that APC is an effective non-fusion technique through the low incidence of facet fusion levels at the Apex, limiting the crankshaft phenomena seen in cases with apex control through arthrodesis.

Mohamad banat

This research is the result of research that describes the implementation of the Take and Give learning model in the fifth grade social studies subject at MI Ar-Rahim, Arjasa, Jember. The learning process includes 3 stages, namely the planning, implementation, and evaluation stages. This research aims to answer. Based on the background described above, the formulation of the problems in this study are: 1. How is the preparation in implementing the Take and learning model for class V social studies subjects at MI Ar-Rahim, Arjasa District, Jember Regency? 2. What is the process of implementing the Take and Give learning model for the fifth grade social studies subject at MI Ar-Rahim, Arjasa District, Jember Regency? 3. How is the evaluation in implementing the Take and Give learning model for the fifth grade social studies subject at MI Ar-Rahim, Arjasa District, Jember Regency? The research method used is descriptive qualitative with data collection techniques using observation, interviews and documentation. The data sources in this study were the Principal, Teachers and Grade V Students of Class V Social Studies at MI Ar-Rahim, and other supporting documents. The results of this study indicate: 1. The implementation of the Take and Give learning model in the preparation stage has fulfilled all preparations well. 2. The process of implementing learning in class makes the learning atmosphere fun and students become more active. 3. At the evaluation stage all students have reached the assessment criteria in 3 aspects of the assessment, namely attitudes, knowledge and skills Penelitian ini adalah hasil penelitian yang menggambarkan tentang implementasi model pembelajaran Take and Give pada mata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember. Proses pembelajaran tersebut meliputi 3 tahap, yaitu tahap perencanaan, pelaksanaan, dan evaluasi. Adapun penelitian ini bertujuan untuk menjawab Berdasarkan latar belakang yang telah dipaparkan di atas, maka rumusan masalah dalam penelitian ini adalah: 1. Bagaimana persiapan dalam mengimplementasikan model pembelajaran Take and mata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? 2. Bagaimana proses dalam implementasi model pembelajaran Take and Givemata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? 3. Bagaimana evaluasi dalam mengimplementasikan model pembelajaran Take and Givemata pelajaran IPS kelas V di MI Ar-Rahim Kecamatan Arjasa Kabupaten Jember? Metode penelitian yang digunakan adalah kualitatif deskriptif dengan teknik pengumpulan data menggunakan observasi, wawancara dan dokumentasi. Adapun sumber data dalam penelitian ini adalah Kepala Sekolah, Guru dan Peserta didik kelas V mata pelajaran IPS kelas V di MI Ar-Rahim, dan dokumen penunjang lainnya. Hasil penelitian inimenunjukkan: 1. Implementasi model pembelajaran Take and Give pada tahap persiapan sudah memenuhi segala persiapan dengan baik. 2. Proses pelaksanaan pembelajaran dikelas membuat suasana belajar menjadi menyenangkan dan peserta didik menjadi lebih aktif. 3. Pada tahap evaluasi semua peserta didik telah mencapai kriteria penilaian dalam 3 aspek penilaian yaitu sikap, pengetahuan dan keterampilan.

Educare: journal of primary education