bluuebunny/crossref_metadata_2025 huggingface dataset:
Brain Tumour Categorization with MRI Representation by Feature Extraction using GLCM and Support Vector Machine
Authors: Mr. A. V. Vamshi Krishna  , Dr. A. Ramesh Babu  , Mr. D. Suman
Published: September 2022

Cluster of tissue that influence the normal tissue by moderate expansion of irregular cells is known as Brain tumour. It happens when cell get anomalous development inside the brain and this remains the primary reason in increasing the fatality rate among humans. Among a wide range of cancers, brain tumour is incredibly serious and to avoid life threats of an individual, quick diagnosing and treatment must be given. Identifying these cells is a problematic issue, due to formation of tumour cells. It is exceptionally crucial to classify brain tumour from MRI image. In our proposed work, MRI images retrieved by utilizing Content based image retrieval technique are taken as input for classification. To achieve accuracy in classification and for efficient segmentation, pre-processing is carried for color conversion, noise reduction and resizing. Segmentation of tumour cells is done by Expectation and Maximization technique to know about region of affected cells present in that segmented area. This is trailed by statistical and size-based feature extraction by Gray Level Co-Occurrence Matrix from segmented images. The features extracted from segmented portion will be trained to analyze the presence of tumour in given MR images. The brain tumor classification, done in MATLAB environment allows localizing a mass of abnormal cells in a slice of MRI image using SVM Classifier, which is quickest method and furthermore give the great accuracy in classification. Experimental results accomplished accuracy of 100% in distinguishing the tissues as normal or abnormal from MR images exhibiting the viability of proposed method.
Consumer Price Prediction using Machine Learning Algorithms
Authors: Mr. A. V. Vamshi Krishna  , Dr. A. Ramesh Babu  , Mr. D. Suman
Published: September 2022

Now a day in the economy, there is a profound impact of the Consumer market or equity market. Prediction of stock prices is extremely complex, chaotic, and the presence of a dynamic environment makes it a great challenge. Behavioral finance suggests that decision-making process of investors is to a very great extent influenced by the emotions and sentiments in response to particular news. Thus, to support the decisions of the investors, we have presented an approach combining two distinct fields for analysis of stock exchange. The system combines price prediction based on historical and real-time data along with news analysis. LSTM (Long Short-Term Memory) is used for predicting. It takes the latest trading information and analysis indicators as its input. For news analysis, only the relevant and live news is collected from a large set of business new. The filtered news is analyzed to predict sentiment around companies. The results of both analyses are integrated together to get a response which gives a recommendation for future increases.
Efficient Workflow Scheduling using Social Networking Website Awareness Big Data Management
Authors: A. V. Vamshi Krishna  , Kalpana Gampa
Published: September 2022

Cloud server farms global organization empowers expansive-scale logical job procedures to strengthen execution and transmit rapid responses. This exceptional topographical appropriation of the calculation is enhanced by associated expansion within the range of the information taken care of by such apps, conveying title new problems recognized crosswise over locations with efficient info administration. High quantity, low potential or price-related exchange offers area unit only one or two concerns intended to take care of information cross-sectional over server farms along with cloud providers and buyers. Cloud-gave capacity that provides low execution in lightweight fixed cost plans is impacted by existing provisions. Work process motors therefore necessitate the formation of alternates, carrying out execution at the cost of negative framework set-ups, maintaining costs, reducing strong quality and reusability. We tend to give overflow, associate unchanging information management structure for logical job procedures running across topographically disseminated locations, desiring to obtain economic benefits from these geo-differing characteristics. Our response is conscious of the condition, as it screens and displays the global cloud framework, the contribution of extraordinary and expected info taking care of execution for exchange value and quantity, within and across sites. Overflow suggests a meeting of pluggable administrations, assembled in an info-scientific cloud set. They provide an opportunity for applications to screen the essential framework, to endeavor to swish info pressure, reduplication and geo-replication, to assess info administration costs, to align the exchange between costs and periods and, consequently, to improve the exchange procedure.
Assessment Of Psycho-Social Factors Associated With Relapses Among Mental Patients. A Case Study at Mbale Regional Referral Hospital.
Authors:   , Kabasa Michael
Published: September 2022

Background: WHO (1996) estimated that 12.5% of the global burden of disease is caused by mental and neurological disorders. In a few studies carried out in Uganda mental illnesses seem to claim a big share of medical costs because of relapses. Objectives: The major objective was to assess Psycho-social factors associated with relapses among Mental patients and reduce readmission at the Psychiatric ward, Mbale Regional Referral Hospital. The specific objectives were: to identify demographic characteristics of relapsed mental patients and to determine psychological and social factors associated with relapses among mental patients. Methodology: A descriptive cross-sectional design was employed to target all mentally relapses patients who had improved using consecutive sampling on a sample of 168 respondents. Data were collected using structured questionnaires and analyzed using spss18 software and manually, presented in frequency tables and charts. Data were managed by storage in hard copies and electronically under lock and key. Results: The study findings revealed that females (51.2%) of young aged 15-24 years had more mental relapses. Most respondents had attained secondary education (41.7%) with many peasants (33.6%) staying single (53.0%). The commonest mental disorder was bipolar mania (25.6%). The majority also accepted that psychologically they had improved (57.1%) with highly expressed emotions and socially medicines were expensive (78.6%). Conclusion: Mental illnesses start early in life, and incapacitate patients through relapses but psychosocial factors can be importantly considered to remedy their plight.
A Cross-sectional to determine how Knowledgeable pregnant Women attending Antenatal Care at Lira Regional Referral Hospital are regarding the benefits and contraindications of Physical Activity during Pregnancy.
Authors:   , Okori Felex
Published: September 2022

Background.  Physical activity during pregnancy provides many health benefits not only to pregnant mothers but also to the fetuses. Adequate knowledge among pregnant mothers is vital to enhance positive attitudes. This study assessed knowledge of pregnant women on PA in pregnancy among pregnant women attending ANC in Lira Regional Referral Hospital. Methods.  The cross-sectional study of 152 pregnant women attending antenatal clinic visits in Lira Regional referral Hospital, northern Uganda. Data were obtained on socio-demographic characteristics of mothers, knowledge, and attitude towards PA in pregnancy. Results.  Decreasing the risk of swelling of extremities (65%), back pain (73%), and high blood pressure (80%), and promoting a better ability to cope with labor and delivery (72%) were the most commonly known benefits of PA in pregnancy and vaginal bleeding (80%), chest pain (70%), difficulty in breathing (77%), abdominal pain (72%), premature labor (73%), muscle weakness and migraine headache (73%) were perceived contraindications of physical activity during pregnancy. 46% had adequate overall knowledge of PA during pregnancy. The knowledge of women was influenced by gestational age (p=0.007) and level of education (p=0.014).  Conclusion.  The majority of women demonstrated inadequate knowledge of physical activity during pregnancy. Mothers had a fair knowledge of the benefit, but the majority had minimal information about the contraindication and when to start and stop physical activity when they get pregnant. Recommendation Based on the findings, women in this study didn’t have comprehensive knowledge about PA during pregnancy, health care providers should be empowered to counsel healthy and fit pregnant women with comprehensive, evidence-based prenatal exercise guidelines on the safety of involvement in PA during pregnancy.
Uncertainty-Oriented Textual Marker Selection for Extracting Relevant Terms from Job Offers
Authors: Espinal Albeiro , Haralambous Yannis , Bedart Dominique , Puentes John
Published: September 2022

Automated resume ranking aims at selecting and sorting pertinent resumes, among those sent to answer a given job of er. Most of the screening and elimination process relies on the resumes’ content, marginally including information of the job of er. In this sense, currently available resume ranking approaches lack of accuracy in detecting relevant information in job of ers, which is imperative to assure that selected resumes are pertinent. To improve the extraction of relevant terms that represent significant information in job of ers, we study the uncertainty-oriented selection of 16 textual markers – 10 obtained by examining the behaviour of expert recruiters and 6 from the literature – according to two approaches: fuzzy logistic regression and fuzzy decision trees. Results indicate that globally, fuzzy decision trees improve the F1 and recall metrics, by 27% and 53% respectively, compared to a state-of-the-art term extraction approach.
Wireless Secret Sharing Game between Two Legitimate Users and an Eavesdropper
Authors: Miao Lei , Zhang Hongbo , Jiang Dingde
Published: September 2022

Wireless secret sharing is crucial to information security in the era of Internet of Things. One method is to utilize the effect of the randomness of the wireless channel in the data link layer to generate the common secret between two legitimate users Alice and Bob. This paper studies this secret sharing mechanism from the perspective of game theory. In particular, we formulate a non-cooperative zero-sum game between the legitimate users and an eavesdropper Eve. In a symmetrical game where Eve has the same probability of successfully receiving a packet from Alice and Bob when the transmission distance is the same, we show that both pure and mixed strategy Nash equilibria exist. In an asymmetric game where Eve has different probabilities of successfully receiving a packet from Alice and Bob, a pure strategy may not exist; in this case, we show how a mixed strategy Nash equilibrium can be found.
Mimicking a Complete Life-Cycle of Fiat Currency in One E-cash System
Authors: Ni Peifang
Published: September 2022

The electronic cash was introduced by Chaum in 1982 and now many e-cash systems have been proposed in order to mimic the fiat currency. Bitcoin provides us with an attractive way to construct a decentralized e-cash system. Ideally, we would like to make the system more practical, for example, the users can be able to transfer coins between each other multiple times and they can also withdraw arbitrary amount of coins rather than one or the predefined number, so that in the spend protocol the user can spend any amount of valid coins. In this paper, we propose a provably secure and more practical e-cash system. Firstly, it can provide the anonymous transfer of coins between users, so that the merchant can spend the received coins further; secondly, the user can withdraw arbitrary amount of coins rather than the one or predefined number; thirdly, during the transfer of coins, the coins have a fixed size; finally, the fair exchange between the users can also be achieved.
Augmented Efficient Zero-Knowledge Contingent Payments in Cryptocurrencies without Scripts
Authors: Ni Peifang
Published: September 2022

Zero-Knowledge Contingent Payment presents how Bitcoin contracts can provide a solution for the so-called fair exchange problem.Banasik, W. et al. first presented an efficient ZeroKnowledge Contingent Payment protocol for a large class of NP-relations, which is a protocol for selling witness. It obtains fairness in the following sense: if the seller aborts the protocol without broadcasting the final message then the buyer finally gets his payment back. However, we find that the seller in the protocol could refuse to broadcast the final signature of the transaction without any compensation for the buyer. As a result, the buyer cannot get the witness from the final signature of the transaction and has the payment for the witness locked until finishing the large computation for a secret signing key. In this paper, we fix this problem by augmenting the efficient Zero-Knowledge Contingent Payment protocol. We present a new protocol where the seller needs to provide the deposit before the zero-knowledge proof of knowledge of the witness being sold. And then the buyer could obtain the seller's witness if the seller broadcasts the final signature of the transaction and gets the payment and his deposit. Otherwise, the buyer could get back the payment and obtain the seller's deposit. This new augmented protocol is constructed without any new assumptions.
MoodLink: A Data-Driven Social Interactive Mobile Application for Depression Relief using Artificial Intelligence and Natural Language Processing
Authors: Zhao Yilan , Sun Yu
Published: September 2022

As adolescent suicide rates grew significantly in the past decade, depression, anxiety, and other mental disorders were largely held responsible for the growth [9]. However, these medical conditions are often overlooked during their early stages where symptoms are still remediable. Delayed or inattentive response to address the issue usually results in higher suicides rates or in lesser cases, mental ailments carried into adulthood. In an attempt to remedy the mental health crisis, countless mental health interventions are being introduced as means to mitigate the circumstances. In this project, we developed a mobile application that serves as a comprehensive therapy—journal and group therapy—for those struggling with mild to moderate depressive symptoms [10]. The application utilizes both the Sentimental AI and natural language processing in its backend server to generate accurate matches of users who share similar struggles, allowing users to connect and resonate with each other emotionally [11]. The application also provides a private and safe space for users to openly express their thoughts, alleviating their stress through daily journal entries.
User Repairable and Customizable Buzzer System using Machine Learning and IoT System
Authors: Huang Leheng , Sun Yu
Published: September 2022

The creation and sustainability of academic teams have long been unnecessarily difficult due to the exorbitant costs of purchasing and maintaining equipment [1][2]. These costs serve as a major barrier, especially in poorer areas where securing the funds for this equipment is difficult [3]. In addition, when the equipment eventually breaks, it is often difficult to repair, forcing academic teams to purchase a new set of equipment. This project attempts to provide a product that can drastically lower the equipment's costs and allow the user to modify and repair it as necessary. This project resulted in the development of the Argo Buzzer System which was created with input from experienced academic team members and it has proven that it is comparable to modern buzzer systems for a fraction of the cost [4]
A Tracing-based Tennis Coaching and Smart Training Platform using Artificial Intelligence and Computer Vision
Authors: Liu Feihong , Sun Yu
Published: September 2022

Athletes in technical sports often find it difficult to analyze their own technique while they’re playing [1]. Often, athletes look at the technique of professional players to identify problems they may have. Unfortunately, many types of techniques, such as forehand and backhand swings in tennis, are relatively similar between a beginner and a professional, making it more difficult for comparison. On the other hand, techniques that appear different between professionals and casual can also present different challenges. This is especially true for serves in tennis, where the speed of the swing, the motion of the player, and the angle of the camera recording the player all pose a challenge in analyzing differences between professional and learning tennis players [2]. In this paper, we used two machine learning approaches to compare the serves of two players. In addition, we also developed a website that utilizes these approaches to allow for convenient access and a better experience. We found that our algorithm is effective for comparing two serves of different speeds and synchronized the videos effectively.
Finding Correlation between Chronical Diseases and Food Consumption from 30 Years of Swiss Health Data Linked with Swiss Consumption Data using FP-Growth for Association Analysis
Authors: Baschung Jonas , Einsele Farshideh
Published: September 2022

Objective: The objective of the study was to link Swiss food consumption data with demographic data and 30 years of Swiss health data and apply data mining to discover critical food consumption patterns linked with 4 selected chronical diseases like alcohol abuse, blood pressure, cholesterol, and diabetes. Design: Food consumption databases from a Swiss national survey menu CH were gathered along with data of large surveys of demographics and health data collected over 30 years from Swiss population conducted by Swiss Federal Office of Public Health (FOPH). These databases were integrated and Frequent Pattern Growth (FP-Growth) for the association rule mining was applied to the integrated database. Results: This study applied data mining algorithm FP-Growth for association rule analysis. 36 association rules for the 4 investigated chronic diseases were found. Conclusions: FP-Growth was successfully applied to gain promising rules showing food consumption patterns lined with lifestyle diseases and people’s demographics such as gender, age group and Body Mass Index (BMI). The rules show that men over 50 years consume more alcohol than women and are more at risk of high blood pressure consequently. Cholesterol and type 2 diabetes is found frequently in people older than 50 years with an unhealthy lifestyle like no exercise, no consumption of vegetables and hot meals and eating irregularly daily. The intake of supplementary food seems not to affect these 4 investigated chronic diseases.
An Context-Aware Intelligent System to Automate the Conversion of 2D Audio to 3D Audio using Signal Processing and Machine Learning
Authors: Gao Bolin , Sun Yu
Published: September 2022

As virtual reality technologies emerge, the ability to create immersive experiences visually drastically improved [1]. However, in order to accompany the visual immersion, audio must also become more immersive [2]. This is where 3D audio comes in. 3D audio allows for the simulation of sounds from specific directions, allowing a more realistic feeling [3]. At the present moment, there lacks sufficient tools for users to design immersive audio experiences that fully exploit the abilities of 3D audio. This paper proposes and implements the following systems [4]: 1. Automatic separation of stems from the incoming audio file, or letting the user upload the stems themselves 2. A simulated environment in which the separated stems will be automatically placed in 3. A user interface in order to manipulate the simulated positions of the separated stems. We applied our application to a few selected audio files in order to conduct a qualitative evaluation of our approach. The results show that our approach was able to successfully separate the stems and simulate a dimensional sound effect.
Forward Chaining and Self-Embedding Watermarking for Tamper Detection in a Continuous Stream of Data
Authors: Hodkhasa Sandip , Guo Huiping
Published: September 2022

Watermarking is extensively used in various media for data transfer, content authentication and integrity. The continuous flow of data is always vulnerable to tamper. This research proposes a new watermarking scheme that detects tampering in a stream of data. The stream of data is dynamically divided into different sized groups using synchronization points. A computed watermark is embedded in each group by hashing the concatenating the current group and the next group. A secondary watermark is generated based on the current group that prevents tampering from any attacks in the current group. Watermark verification table is used to determine all possible scenarios for false results. Experiments are performed to show its efficiency. False results decrease as the group size becomes larger. Random burst attacked requires larger group size. The scheme also shows with the increase in grouping parameter ‘m’ which defines the synchronization point, the false positive rate decreases.
Morphometric co-relation of carrying angle to height, sex, age and dominance in children- A quantitative study
Authors: Gupta Seema , Soni Anshu , Aggarwal Meenakshi , Vohra Hitant , Bansal Priya
Published: September 2022

Introduction and Aim: The fracture around elbow is the second most common fracture in the paediatric age group. The carrying angle changes with age and height of the child. The knowledge of carrying angle is important for diagnosing, handling and management of paediatric elbows.  The objective was to find the age, height, gender and dominant handedness difference in angle of children aged 5-18 years.
Materials and Methods: The carrying angle was measured by a goniometer in 290 healthy students of randomly selected schools. Various parameters; age, gender, height, dominance and length of arm and forearm were also measured. The results were statistically analysed and correlated.
Results: The mean carrying angle was 8.9° ± 3.6° on the right side and 8.5° ± 3.8° on the left side in females whereas in males it was 7.1° ± 2.9° and 6.4° ± 2.9° on right and left side respectively. The angle was more on the dominant side than on the non-dominant side.
Conclusion: The normative data of this study could be useful in management of elbow displacement, fractures and surgical planning of traumatic elbow injuries.
Effects of vestibular stimulation on neurophysiologic impact among preterm infants - A systematic review
Authors: N Senthil Kumar , A Kumaresan , Alagesan Jagatheesan
Published: September 2022

The preterm birth can have impact on child development. Hence the purpose of this systematic review is to find the effect of vestibular stimulation and its impact when given to preterm infant. The database search for this systematic review includes Google Scholar, PubMed, Pedro, Research Gate, and Cochrane. A Total of 96 articles were obtained using the key words search. The articles were filtered and sorted according to the inclusion and exclusion criteria.6 articles were selected for the review. The review search included all clinical trials in preterm babies (28-37 weeks) with the birth weight ranging from 1,000-2,000g, medically stable, stable vital signs and had a control group that did not receive any intervention in addition to the standard treatment provided by the NICU. The articles which did not contain, full text, appropriate data and published in any other language other than English were excluded. The review search analysis reflected that, vestibular stimulation for preterm infants is beneficial and necessary. Vestibular stimulation proves to have a significant amount of positive beneficial outcomes when compared to other stimulations. Assessment of the methodology of the studies reviewed herein showed that vestibular stimulation is efficient in determining the developmental behaviour, to enhance the respiratory functioning, to ensure physical growth, in promoting mature sleep and to maintain arousal state.
Synchronous follicular carcinoma and non-invasive follicular thyroid neoplasm with papillary like nuclear features in thyroid-A case report
Authors: Hidangmayum Abena , Mathias Michelle , Kishan Prasad H.L.  , Sajitha K.  , Divya Joshi
Published: September 2022

Follicular carcinoma of the thyroid accounts for 5-15% of all the primary cancers of thyroid. Follicular carcinoma clinically manifests as a painless neck mass and rarely presents with  metastatic bony lesion, the most common site being the spine. Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) constitute  10-20% of all thyroid cancers. The histopathological diagnosis of thyroid follicular carcinoma mandates demonstration of either capsular/vascular invasion. Differentiating between follicular carcinoma and NIFTP is challenging based on histology. Hence extensive sampling of the pathological specimen is required to differentiate the same. Herein we report a case of an elderly woman presented with a pathological fracture of the femur due to metastasis from follicular carcinoma of the thyroid with an incidental NIFTP of the left lobe of the thyroid.
Novel biomarkers of inflammation for endothelial dysfunction in chronic kidney disease patients
Authors: Bagavad Geetha M.  , Maheshkumar K.  , Jayakumar M.  , Sowmya  , Santhi Silambanan  , Viji Devanand
Published: September 2022

Introduction and Aim: One of the main complications of chronic kidney diseases (CKD) resulting in morbidity and mortality is cardiac complications. High-sensitive C -reactive protein (hs- CRP), a novel biomarker of systemic inflammation is elevated in all the stages of kidney impairment. This leads to endothelial dysfunction resulting in cardiovascular complications.  The aim is to evaluate the levels of novel inflammatory biomarkers for endothelial dysfunction which could predict cardiovascular risk in CKD patients.
Materials and Methods: This cross-sectional study was conducted among 50 CKD patients at a tertiary care hospital in Chennai. Study participants were from both sexes, aged between 20 and 65 years. Fasting blood samples were drawn for analysis of lipid profile, hs- CRP, calcium and phosphorus.
Results: The participants were grouped into three based on the hs-CRP Levels, as Low (<0.80 mg/L), Medium (0.81–1.76 mg/L) and High (>1.76 mg/L). Serum creatinine was significantly increased (P=0.007) across the groups. hs-CRP showed positive correlation with creatinine, while it showed negative correlation with HDLc.
Conclusion: Highly sensitive CRP is a marker of endothelial dysfunction. Elevated hsCRP levels in CKD patients indicate that they are prone for cardiovascular complications. Early detection of systemic low-grade inflammation may prevent future cardiovascular complications.
Preliminary phytochemical analysis and in vitro antioxidant activity of Glochidion ellipticum Wight (Phyllanthaceae)
Authors: K.S. Vinayaka , Raghavendra L.S. Hallur  , Prashith Kekuda
Published: September 2022

Introduction and Aim: Reactive oxygen species are implicated in the pathophysiology of several human ailments. Antioxidants from plants are shown to be promising in terms of their health benefits. Glochidion ellipticum Wight is belonging to the family Phyllanthaceae. This study investigated the antioxidant potential of solvent extracts of G. ellipticum leaves in vitro.
Materials and Methods: Sequential extraction of the shade dried leaf powder was carried out by maceration using petroleum ether, chloroform and methanol solvents. The solvent extracts were subjected to preliminary phytochemical analysis. DPPH, ABTS and Ferric reducing assays were performed to investigate in vitro antioxidant activity of solvent extracts. Total phenolic and flavonoid content of extracts was estimated by Folin-Ciocalteau reagent and Aluminium chloride colorimetric estimation method, respectively.
Results: Preliminary phytochemical analysis of solvent extracts revealed the presence of phytoconstituents viz. flavonoids, saponins, terpenoids and tannins in the leaf material. The solvent extracts scavenged both DPPH and ABTS radicals in a concentration-dependent manner with marked and least activity being shown by methanol extract and petroleum ether extract, respectively. In ferric reducing assay also, methanol extract showed marked activity followed by chloroform and petroleum ether extracts. Total phenolic and flavonoid content was highest in methanol and least in petroleum ether extract.
Conclusion: The radical scavenging and reducing abilities of extracts observed in this study could be attributed to the presence of secondary metabolites detected in the plant as it is well established that the polyphenolic compounds including flavonoids are excellent antioxidants. A direct correlation was observed between the content of phenolics and flavonoids and the antioxidant activity of extracts. The plant appears to be suitable for developing novel formulations that can be used to manage oxidative damage.
A study of impact of flipped classroom on student educational experience in comparison with didactic lecture in topics classified based on Bloom’s taxonomy
Authors: Bhide Arpana , Singh Sharan , K. Pujitha  , P. Vani
Published: September 2022

Introduction and Aim: Flipped classroom (FCR) is a student-centred approach that encourages active participation from students and studies measuring student performance or perception in FCR relative to DL (didactic lecture) have shown mixed results. In this study, we classified topics into two levels of cognition based on Bloom’s taxonomy and compared the impact of FCR and DL on student performance and perception in two different levels of cognition.
Materials and Methods: In Department of Physiology, SVIMS, SPMC(W), two DL classes were conducted for two levels (level 1 and level 2) of topics and two FCR sessions were conducted for two levels of topics for 175 MBBS students of 1st year. Student performance and perception were compared between DL and FCR . 
Results: Student performance was significantly better with FCR method at level 2 (4.69±2.09 and 5.05±2.09, p= 0.05) with no significant difference in scores at level 1(p=0.313). Overall score comparison showed that student performance was significantly better with FCR (p<0.001).Majority of the students felt FCR more suitable for level 1 topics and DL to be more suitable for level 2 topics for ease of understanding. In general, students expressed positive attitude towards FCR in terms of better interaction, student teacher relationship and motivation to learn. 
Conclusion: Student performance was better with FCR in level 2 topics. Student perception does not necessarily equate to what approach is best for student learning. The results of this study stress the need for faculty to plan a curriculum which includes different teaching learning methods decided based on the level of cognition.
Comparative study of self-directed learning and traditional teaching method in understanding cardio- respiratory physiology among medical undergraduates
Authors: Palve Suchitra , Palve Sachin
Published: September 2022

Introduction and Aim: Active and learner centred learning methods specially, self-directed learning is considered to be an important method of blended learning approach of imparting knowledge among under graduate medical students in new curriculum through integrated approach. The aim of the study is to analyse the impact and benefits of self-directed learning sessions for understanding cardio- respiratory physiology among phase one MBBS students.
Design and Methods: This cross-sectional study was conducted among 250 students of Phase I MBBS for CVS and RS modules.  Two groups of students were made Group A (n=125) was administered with self- directed learning sessions, while group B (n=125) was administered with normal didactic lecture session for the same topics. Following each session an objective assessment was conducted for all the topics covered in SDL and lecture sessions and the results were assessed and compared.
Results: The maximum marks secured in objective assessment by Group A students post self-directed learning sessions for both cardiovascular and respiratory physiology modules were 31.2% (39/125) and 32.8% (41/125); while moderate marks were secured by 47.2% (59/125) and 48% (60/125). For assessment conducted after lecture sessions for both cardiovascular and respiratory physiology module, maximum marks were obtained by 25.6% (32/125) and 24% (30/125); while moderate marks were obtained by 21.6% (27/125) and 23.5% (29/125) respectively. Significant difference was found in the p values of marks for both modules(n=0.009) (n=0.008). The internal assessment scores showed considerable difference in the maximum marks obtained by students attending SDL sessions (80-89%) as compared to didactic learning sessions (70–79%) with p value = 0.0190, 0.01179 and 0.0192, a0.01184, respectively for both modules.
Conclusion: Self-directed learning method seems to be more effective way of delivering the concept as compared to traditional lecture sessions.
Evaluation of hepcidin and its relationship with iron in non-alcoholic fatty liver disease
Authors: T K Yadupriya , Manjrekar Poornima  A. , MS Rukmini , Rai Santhosh , Sindhu  , Arya
Published: September 2022

Introduction and Aim: There is an increase in the incidence of non-alcoholic fatty liver disease (NAFLD) in obese people, type 2 diabetes and metabolic syndrome. Iron leads to the development of NAFLD. Hence serum hepcidin played a vital role in the development of liver cirrhosis. This study was undertaken to evaluate the role of hepcidin and iron and their relationship with NAFLD.
Materials and Methods: This cross-sectional hospital-based study involved 50 patients. Plasma was evaluated for hepcidin by ELISA. and iron by semi-autoanalyzer.  Hepcidin and iron were correlated using Spearman’s correlation.
Results: There was a positive correlation between hepcidin and iron in NAFLD patients. We observed that patients with lower BMI were prone to develop NAFLD. Positive correlation of hepcidin with iron has led to diminished ability to inhibit iron.
Conclusion: Further studies related to the altered lipid metabolism its link with iron, or change in the genes responsible for maintenance of iron balance, or a blend of both results in overload of iron in NAFLD patients. In the development of NAFLD iron played a vital role hence could be used as a target for treatment. Therefore, this evidence-based study may result in new treatment modalities in NAFLD.
Politik Sufisme
Authors: M. Ubaidillah Hunaini Ubaidillah
Published: September 2022

Every personal of a Sufi has a high sensitivity and concern for others. To be able to fight for the religion of God, sometimes a Sufi must enter into things of a worldly nature. Not because of aim or impulses that are not good and because of the attraction or even love for things that are oriented to world, but because of the existence of goals that are unwittingly positive. That's the way was when a Sufi was affiliated to politics. This article aims to uncover what motives and contributions were made from Dr. KH. Musta'in Romly as an Nusantara Sufi who had been involved in politics, and even entered one of the political parties. At that time, the case became a bit of a conflagration and gained some opposition from some quarters. The research of this article results that there are many contributions that Kiai Musta'in produced when he entered politics, especially when he joined the Golkar party. This can be shown from the aspects that return to general public, especially NU residents and aspects that return to the big family of Darul Ulum Islamic Boarding School and TQN Rejoso.
ANALISA PEMELIHARAAN PATIENT MONITOR di UPTD PUSKESMAS TELUK DALAM
Authors: Gaurifa Ratahati , Rahmah Siti
Published: September 2022

"Analysis of Patient Monitor Maintenance at the UPTD public healty center Teluk dalam".Continuous health services need to be supported by equipment that is always ready to use and can function properly. This requires public healty center management to be able to manage and maintain medical equipment effectively and efficiently. This study aims to determine the implementation of patient monitor maintenance at the UPTD public healty center Teluk dalam. This research is a descriptive study with a quantitative survey method. The instrument used is to collect data. The results of this study indicate the aspects of natural resource input, processes, and outputs. The results of this study indicate that in practice, it cannot run properly, caused by limited technicians, lack of training, and maintenance SOP are not in accordance with procedures. It is recommended that the public healty center management pay more attention to the equipment maintenance system (input, process, and output) in order to avoid the problem of equipment damage and to work optimally.
ANALISA KALIBRASI ALAT ELECTROCARDIOGRAPH MENGGUNAKAN ELECTROCARDIOGRAPH SIMULATOR (PHANTOM ECG)
Authors: Gulo Martina Murniawati , Yulizham Yulizham
Published: September 2022

An electrocardiograph is a device that can display a signal graphic showing the process of the heartbeat. From these signals it can be seen whether a person's heart rate is normal or not. The method used in this research is quantitative observation. Which aims to analyze the calibration of the Electrocardiograph (ECG) device using a simulator (Phantom ECG). And also aims to determine the results of the data obtained after observing the workflow of the tool. From the results of electrocardiograph testing at the Health Facility Security Center (BPFK) Medan, the results were obtained. Electrocardiograph testing at the paper speed set point 25 mm / sec 10 mm / mv obtained results of 25.18 +- 0.37 because it is within a tolerance value of +- 5%. At the paper speed set point of 50 mm / sec, 10 mm / sec, the result is 50.16 +- 0.37 because it is within a tolerance value of +- 5%. At the sensitivity setting point of 5 mm / mv, 25 mm / sec, the result is 5.24 +- 0.37 because it is within a tolerance value of +- 5%. At the sensitivity setting point of 10 mm / mv, 25 mm / sec, the result is 10.22 +- 0.37 because it is within a tolerance value of +- 5%. And at the sensitivity setting point of 20 mm / mv, 25 mm / sec, the result is 20.26 +- 0.36 because it is within a tolerance value of +- 5%.
ALUR KERJA ECG pada PASIEN MONITOR
Authors: Gulo Hery Setiawan , Rahmah Siti
Published: September 2022

An electocardiogram (ECG) is one of the parameters in the patient monitor tool that is used to monitor the patient's physiological condition in the form of blood pressure, temperature, respiration, SpO2 and the shape of the heart pulse continuously. This study aims to determine the workflow of the ECG in monitor patients and to determine changes in the ECG waveform when the lead position is changed.This research was conducted at the USM-I Integrated Laboratory. The research method used was descriptive by observation. Which aims to find out how the ECG workflow on the patient monitor and to find out the changes in the ECG waveform when the lead position is changed.This research was conducted using the PM5000 patient monitor. The results of this study indicate that the electrical potential originating from the heart is detected on the surface of the body through electrodes and jelly, both of which are connected to the device via a patient cable in the form of a color coded lead on each lead, after amplifying then the electric pulse will be displayed on the display in the form wave. when installing the lead on the patient must be in accordance with the position and position according to the procedure, because it greatly affects the resulting wave.
RANCANG BANGUN AUTOCLAVE MENGGUNAKAN SENSOR SUHU DS18B20 DENGAN KONTROL RELAY BERBASIS ARDUINO
Authors: Arifin Zainal , Thalib Rizal
Published: September 2022

The purpose of this final project is to design an Autoclave using a DS18B20 Temperature Sensor with Arduino Uno-based Relay Control. This autoclave uses a DS18B20 temperature sensor which functions to measure the temperature inside the tool. The usage is enough by setting the required temperature and timer, the temperature and timer that are set can be seen on the LCD display. The design method used in making the Autoclave design uses a DS18B20 Temperature Sensor with Arduino Uno-based Relay Control as a whole through 4 stages: (1) Selection of the components needed in the manufacturing process; (2) Component Installation; (3) Program Charging on Arduino; (4) Testing Tools and Drawing Conclusions. The performance test results show that the medical equipment will be sterile at 121 C for 10 – 15 minutes. If the temperature does not reach 121 C and the time is less than 10 minutes, then medical equipment cannot be said to be sterile. This sterilization test uses autoclave tape paper as an indicator. If the paper turns a faint brown color, it can be concluded that the medical equipment is not sterile, and if the paper changes color to blackish brown then the medical equipment is declared sterile. The advantage of this tool is that when the temperature reaches the setting, the buzzer will sound, and if the timer is set to run out or the sterilization process is complete, the buzzer will sound again.
ANALISA ALUR KERJA INSPIRASI DAN EKSPIRASI PADA ALAT VENTILATOR
Authors: Saragih Franedya Argarini , Dabukke Hotromasari
Published: September 2022

Research has been carried out on the Hamilton C2 ventilator which aims to find out how the of inspiration and expiration are in accordance with what has been set on the ventilator by the operator or user. Installation of a ventilator is meant for patients who have excess or lack of oxygen within the lungs and who experience respiratory failure. Where the ventilator is a breathing apparatus that can help maintain ventilation and oxygen delivery for quite a long time.This research method is disbursed using qualitative and quantitative methods in order to collect data. Research on this ventilator was applied in several stages, namely setting and taking data that the ventilator on Volume Tidal (VT) must be in accordance with the Volume Tidal Expiratory (VTE) so there's no collapse within the patient and damage to the device itself. The results of this study are to determine the way of inspiration and expiration consistent with what has been set by observing the worth displayed on the Volume Tidal Expiratory (VTE) which is the same because the value that has been inputted within the Volume Tidal (VT. If the value displayed on the display or screen is <10% then there's a possibility of harm to the ventilator flow sensor or flow sensor within the patient, and the other way around if the value displayed on the display or screen is >10% then there's a possibility of injury to the flow sensors, both ventilator flow sensors and flow sensors within the patient.
ANALISA SISTEM PEMELIHARAAN ALAT TENSIMETER
Authors: Astuti Sri Ayu Tugi , Dabukke Hotromasari
Published: September 2022

The purpose of this study was to determine how the implementation of the tensimeter maintenance system at the Simpang Dolok Health Center Laboratory. This research is a qualitative descriptive study. The data was collected through tensimeter maintenance techniques. So that the Simpang Dolok Community Health Center performs routine cleaning and maintenance of the tensimeter in order to make the tensimeter last longer during its serviceable period. It is recommended that the head of the Simpang Dolok Health Center Laboratory room pay attention to the equipment maintenance system.
ANALISA DAYA HISAP SUCTION PUMP MERK CHEIRON TYPE VICTORIA
Authors: Bhakti Sri Sadhana , Nababan Samser
Published: September 2022

A Suction Pump Is A Tool That Has A Function To Suck Unneeded Liquids In The Human Body. So, Analyze The Suction Power Of The Cheiron Type Victoria Suction Pump On Parameters -20 Kpa, -40 Kpa, -60 Kpa, And -75 Kpa In Time 5 Second As A Result Of Research In The Workshop Installation Of The Hospital Dr. Pringadi Medan City.This study uses a quantitative experimental research type. By Carrying Out Measurements, Testing And Taking Data Directly On The Cheiron Type Victoria Suction Pump, Based On The Effect Of Suction Power -20 Kpa, -40 Kpa, -60 Kpa, And -75 Kpa. The purpose of this research is to determine the speed of suction power (vacuum) of the Chairon type Victoria suction pump in water and to determine and analyze the effect of suction on the time that has been determined. To Get Suction Results In Accordance With The Needs And Also The Accuracy Of A Medical Device, It Is Needed To Test The Accuracy Of The Output (Output) Of Suction Power,So that the Output (Output) From The Suction Power To The Patient With An Accurate And Safe Condition. After Research And Analysis Is Conducted, It Is Known That There Are Output Deviation (Output) Suction Power That Is Still Within The Specified Tolerance Limit <- 10.
ANALISA KALIBRASI PADA ALAT CPAP (Continuous Positive Airways Pressure)
Authors: Krisdianto Rodi , Situmorang Harold
Published: September 2022

CPAP is an electromedical device used to provide breathing aids. Especially in babies who have difficulty breathing or have sleep apnea. The aim of this research is to study the calibration techniques and uncertainty calculations on the CPAP tool. The results obtained from the calibration and calculations to find out the average value, so that these results are stated that the CPAP is fit for use.
ANALISIS SISTEM PEMELIHARAAN INFANT WARMER DI LABORATORIUM TERPADU
Authors: Manao Robertus Robin Saputra , Sijabat Salomo
Published: September 2022

Medical devices are devices that  are always  in  a ready to  use condition and can function properly. This requires the Sari Mutiara University Integrated Laboratory to assist and medical equipment as effectively and efficiently as possible. This study aims to look at the Infant warmer monitoring system in the USM-Indonesia Integrated Lab.This research is a descriptive analysis with qualitative methods. Theinstrument used is by conducting in-depth interviews, observation and documents.The results of this study indicate that in its implementation, the maintenance system cannot be run properly, due to limited technical personnel, lack of training, insufficient maintenance costs, maintenance SOPs are not in accordance with procedures. Planning, organizing, and monitoring are not well implemented so that the preventive and corrective maintenance systems cannot run properly.
RANCANG BANGUN ALAT TERMOMETER NON-CONTACT MENGGUNAKAN INFRA RED
Authors: Prastio Denis , Priyulida Fitriap
Published: September 2022

The purpose of designing this tool is to develop a thermometer that still uses mercury to become a non-contact thermometer using infrared. To use this tool, just turn on the tool and then the infrared sensor is shot at the head of the patient you want to check and the results come out on the display.The method used in this research is experimental by doing system design, testing tools and drawing conclusions. but before doing the design, first prepare a good design of the workpiece in order to get satisfactory results.The results of the measurement on this tool aims to determine the temperature of the human body that we want to check, the test is carried out 6 times, in normal patients the temperature is 36.21 and 36.23, in patients with fever the resulting temperature is 38.14 and 37.18, in patients with hyportemia, temperatures were 35.40 and 35.55.