bluuebunny/crossref_metadata_2025 huggingface dataset:
Global prevalence and genotype distribution of Microsporidia spp. in various consumables: a systematic review and meta-analysis
Authors: Rezaeian Sanaz , Taghipour Ali , Bahadory Saeed , Mogharab Vahid , Abdoli Amir
Published: June 2023

Water and food sources play a major role in the distribution and transfer of microsporidia infection to animals and humans. So, this systematic review and meta-analysis aimed to assess the status and genetic diversity of microsporidia infection in water, vegetables, fruits, milk, cheese, and meat. The standard protocol of Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines was followed. Scopus, PubMed, Web of Science, and Google Scholar were searched from 1 January 2000 and 1 February 2023. The point estimates and 95% confidence intervals (CIs) were calculated using a random-effects model. Of the 1,308 retrieved studies, 35 articles were included in the final meta-analysis. The pooled prevalence of microsporidia infection in mixed water, mixed fruits, mixed vegetables, and milk was 43.3% (95% CI, 33–54.2%; I2, 94.86%), 35.8% (95% CI, 5.3–84.8%; I2, 0), 12% (95% CI, 4.9–26.6%; I2, 96.43%), and 5.8% (95% CI, 2.7–12%; I2, 83.72%), respectively. Considering the genotypes, microsporidia with genotype D in water sources and genotype CD6 in vegetables/fruits were the highest reported genotypes. Given the relatively high prevalence of microsporidiosis (especially in water sources), designing strategies for control, and prevention of microsporidia infection in these sources should be recommended.
Biodegradation of di(2-ethylhexyl) phthalate by a new bacterial consortium
Authors: Kou Liangwei , Chen Hanyu , Zhang Xueqi , Liu Shaoqin , Zhang Baozhong , Zhu Huina
Published: June 2023

Di(2-ethylhexyl) phthalate (DEHP) with continuous high concentration was used as the sole carbon and energy source to isolate a new bacterial consortium (K1) from agricultural soil covered with plastic film for a long time. Unclassified Comamonadaceae, Achromobacter, and Pseudomonas in K1 were identified as major genera of the consortium by high-throughput sequencing, and unclassified Commanadaceae was first reported to be related to DEHP degradation. Response surface method (RSM) showed that the optimum conditions for K1 to degrade DEHP were 31.4 °C, pH 7.3, and a concentration of 420 mg L−1. K1 maintains normal cell viability and stable DEHP degradation efficiency in the range of 10–3000 mg L−1 DEHP concentration, which is superior to existing research. The biodegradation of DEHP followed first-order kinetics when the initial concentration of DEHP was between 100 and 3,000 mg L−1. GC-MS analysis of different treatment groups showed that DEHP was degraded by the consortium group through the de-esterification pathway, and treatment effect was significantly better than that of the single bacteria treatment group. The subsequent substrate utilization experiment further confirmed that K1 could quickly mineralize DEHP. In addition, K1 has high degradation capacity for the most common phthalate acid esters in the environment.
The impact of sleep quality, meal timing, and frequency on diet quality among remote learning university students during the COVID-19 pandemic
Authors: Khraiwesh Husam , Alkhatib Buthaina , Hasan Hanan , Mahmoud Iman F. , Agraib Lana M.
Published: June 2023

Our objective is to assess the relationship between meal timing, frequency, sleep quality, and diet quality (DQ) among university students engaged in remote learning during the COVID-19 pandemic. To achieve this, a cross-sectional study was conducted in April 2021. We employed a self-administered electronic questionnaire to gather data. Participants self-reported their anthropometric and sociodemographic information. Physical activity (PA) levels were evaluated using the International PA Questionnaire (IPAQ), while sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). DQ was determined using a short-form Food Frequency Questionnaire (FFQ), and the data were stratified into quartiles. A total of 311 students completed the questionnaire. Half of the participants (53.2%) exhibited a moderate DQ. Interestingly, female participants had a higher proportion of individuals with high DQ (22.5%) compared to males (9.8%). Conversely, males had a higher percentage of participants with moderate DQ (68.9%) compared to females (49.4%) (P=0.016). Participants with high DQ reported significantly more consistent meal timing, such as fixed meal times, waking up early, going to bed early, feeling hungry during breakfast and lunchtime, and having breakfast in the morning (P<0.001). Participants with low DQ reported moderate to low levels of PA and poor sleep quality (P<0.001). Our findings are consistent with relevant studies conducted in different regions of the world. In conclusion, remote learning during the COVID-19 pandemic has been associated with adverse changes in meal timing and frequency, as well as compromised sleep quality. Furthermore, it has been linked to a prevalence of moderate DQ among university students.
Effect of heat stress on dairy cow production, reproduction, health, and potential mitigation strategies
Authors: Sesay Abdul Rahman
Published: June 2023

Extreme weather events are becoming more common and more severe as a result of climate change, and this has serious implications for the future of livestock, farmer income and livelihoods, and food security worldwide. Dairy cattle have become more heat sensitive due to selective breeding for higher production and increased feedlot operations. The harmful effects of heat stress cause hyperthermia, oxidative stress, and other physiological changes in dairy cows. Environmental heat stress causes a decrease in feed intake, leading to a decrease in milk production in dairy cows. The main method to check for reductions in milk production in dairy cows during the summer is an accurate evaluation of heat stress and effective mitigation strategies. Three primary management strategies have been proposed to reduce heat stress and stabilize dairy cattle performance in increasingly hot and humid climates. Short-term management options include physical alteration of the environment and nutritional management, while long-term management strategy includes discovering heat-tolerant genetic traits and genomic selection for heat tolerance. This review looks at how heat stress has affected the dairy industry’s sustainability and elaborates on genomic selection for thermotolerance in dairy cattle as sustainable breeding practices to increase dairy cows’ ability to withstand high temperatures.
Appeal of editor-in-chief
Authors: Nikonov V.V.
Published: June 2023

No abstract
The modern view on the epiglottitis treatment
Authors: Kononov O.Ye. , Trishchynska M.A.
Published: June 2023

Primary health care is defined as “primary contact, continuous, comprehensive, and coordinated care provided to the population without differentiation by gender, disease, or organ system”. Versatility, as part of medical school curricula, is intrinsically important for those pursuing careers with a significant primary care component, such as family medicine, emergency medicine, therapy, and pediatrics. Otolaryngology is an important specialty related to family medicine, pediatrics, and general practice. Otolaryngological problems make up a significant part of appeals for primary health care. Approximately 20 to 40 % of adult general practice consultations are related to otolaryngological complaints. The Ukrainian health care reform makes significant adjustments in approaches to the diagnosis and treatment of most diseases. Pathology can be so varied and the scope of practical skills can be limited by doctor’s competence. For diagnosis, a family doctor can use the ISPS-2 international classification, which greatly facilitates and unifies the work of a general practitioner. An epiglottic abscess is usually the final stage of inflammation of the epiglottis (epiglottitis) and surrounding tissues. The etiology of the disease can be of infectious or non-infectious nature. Clinical signs of epiglottitis vary depending on age, severity, and etiology. Without treatment, epiglottitis can progress to life-threatening airway obstruction, so prompt diag­nosis and management of epiglottitis in children is extremely important. The disease must be diagnosed at the early stages of the pathological process, following the patient’s route. It requires deep knowledge of the disease etiopathogenesis, mastering research methods, and using all the possible arsenal of treatment to prevent complications. Coordinated cooperation of medical staff at all stages of providing medical care should be ensured.
COVID-19 and non-steroid anti-inflammatory drugs
Authors: Loskutov O.A. , Bondar M.V. , Bondar G.M.
Published: June 2023

The literature review deals with the analysis of the results of studies on the effectiveness and safety of nonsteroidal anti-inflammatory drugs (NSAIDs) in the intensive care programs for patients with COVID-19 in 2020–2021. NSAIDs used for other indications or low-dose aspirin do not increase the body’s sensitivity to SARS-CoV-2 and are not additional risk factors for the severity of the course and mortality from COVID-19. Therefore, in patients receiving NSAIDs or low-dose aspirin for comorbid conditions, these drugs should not be withdrawn and may be used during the treatment of COVID-19. It has now been clarified that the pro-inflammatory effect in SARS-CoV-2 is caused by prostaglandins. Suppression of their production with the help of NSAIDs can have a positive effect during the initial phase of a viral infection, before the development of acute respiratory distress syndrome. To date, the clinical benefits of low-dose aspirin for the primary prevention of thrombotic complications in hospitalized patients with COVID-19 have not been proven, and therefore it is not recommended to use aspirin for this purpose.
Value of the number of injured anatomical parts of the body and surgeries for pain chronicity in patients with gunshot wounds and blast injuries
Authors: Horoshko V.R.
Published: June 2023

The outcome of pain treatment in patients with wounds at different stages of management is important, because chronic pain is diagnosed in 83.3 % of victims with blast injuries, and in 70 % of people with gunshot wounds. In civilian life, chronic pain occurs in 11–40 % of cases in a similar category of patients. The reasons for such a high frequency of chronicity have not been sufficiently studied. Thus, the study on the influence of the number of injured anatomical parts of the body on the results of pain treatment will play an important role and contribute to improving the latter in this category of patients. One of the factors that can influence pain chronicity is the number of injured anatomical parts of the body.
Types of perception of information by subjects of training in the specialty “Anesthesiology and intensive care”
Authors: Yekhalov V.V. , Kravets O.V. , Sedinkin V.A. , Pylypenko O.V.
Published: June 2023

Background. Modern literary sources indicate that of the five main channels through which a person receives information (sight, hearing, taste, smell, and tactile sensations), subjects of learning mainly use only three — auditory, visual, and tactile that determine auditory, visual and kinesthetic. Purpose was to determine the types of perception of information by interns and participants of training in the specialty “Anesthesiology and intensive care” to optimize the postgraduate training process. Materials and methods. An anonymous survey of 48 interns and 51 practicing doctors in the specialty “Anesthesiology and intensive care” was conducted using a special questionnaire, followed by interpretation and analysis according to the dominant channels of obtaining information and their combinations. Results. When evaluating the leading (dominant) sensory modalities in the group of intern doctors, a significant advantage of auditory perception among other channels of receiving information was determined. The evaluation of the leading sensory types in the group of training participants who have their own specific work experience in the specialty showed a significant predominance of the kinesthetic informational channel, which is slightly inferior to the auditory sensory type, and only 11.2 % of the respondents account for the visual modality. The involvement of most sensory analyzers and the combination of modalities in the educational process contributes not only to the holistic perception, analysis and assimilation of educational information, but also to the formation of multimodal thinking. Therefore, during the educational process, multimodal technologies should be used, which allow providing educational material in several formats at the same time. Conclusions. 1. Interns mostly demonstrated the dominance of audio-kinesthetic and polymodal types of information acquisition. 2. Anesthesiologists with some practical experience are more inclined to monokinesthetic and audio-kinesthetic information modality. 3. The polymodal type of providing educational information is optimal in postgraduate education of medical workers. 4. The introduction of short-term trainings on mastering practical skills into the educational process creates an optimal combination of ways to obtain educational information and consolidate memory by subjects of training.
Studying the effectiveness of varieties of anticoagulant therapy programs in patients with a severe course of COVID-19 (analysis of own clinical observations)
Authors: Mazur O.M. , Bondar M.V.
Published: June 2023

Background. Currently, there is no internationally approved protocol for anticoagulant therapy (ACT) in patients with COVID-19 that describes the different types of ACT programs depending on the severity of COVID-19. The objective: to determine optimal ACT programs. Materials and methods. A retrospective ana­lysis of ACT programs was conducted in 268 patients with extremely severe COVID-19 who were treated in the intensive care units. Results. The article presents the results of retrospective analysis of ACT programs in 268 patients with a very severe course of COVID-19 treated in the general intensive care unit in 2021. ACT programs in 162 patients who died because of COVID-19 and in 106 survived patients were studied separately. The total duration of hospital stay was from 9 to 55 days. ACT programs were mostly in line with Euro­pean guidelines/instructions. ACT included a stepwise combination of unfractionated heparin, low-molecular-weight heparins, and oral anticoagulants depending on the clinical course, concomitant pathology, and laboratory parameters. The systemic inflammatory response was characterized by the concentration of C-reactive protein in the blood plasma within the range of 54.7–331.4 mg/l (on average 95.4 ± 73.4 mg/ml), ferritin of 208–2094 μg/l (on average 947.16 ± 872.00 μg/l), interleukin-6 of 33.9–507.4 pg/ml (on average 152.60 ± 201.15 pg/ml). The level of D-dimer in blood plasma ranged from 3.74 to 82.0 μg/ml (on average 8.200 ± 3.525 μg/ml). Platelet content in peripheral blood ranged from 372 × 109/l to 72 × 109/l. Conclusions. The optimal ACT program in patients with severe and extremely severe COVID-19 is a program of sequential change of anticoagulant drugs to enhance their anticoagulant effect, which can be controlled by laboratory tests.
Classification of Brain Tumor as Benign or Malignant Using Image Processing and Deep Learning Techniques: A Comparative Study
Authors: B Sasidhar , Maduri Nandini , Amulya Jada , Vennela Donepudi Sri , Jyothika Mogudampally
Published: June 2023

bstract: In India, the dominance of brain tumors is 5-10 per 100,000 people. According to the International Association of Cancer Registries (IARC), over 28,000 cases of brain tumors are recorded each year in India, with over 24,000 individuals dying from them each year. The proposed approach includes pre-processing of the Magnetic Resonance Imaging (MRI) scans followed by the extraction of the Region of Interest (ROI) using image processing techniques. The extracted parts are then used as input to train a deep neural network model for classification. The Convolutional Neural(CNN) is trained on a large dataset of MRI images of brain tumors, and evaluated using various performance metrics. Deep Learning models like VGG16, ResNet50 are used for the classification of images. Deep learning model with VGG16 gives 98.5 % accuracy which is better than CNN and ResNet50.
A Comparative Study on Deep Learning Models for Plant Disease Detection and Organic Solutions
Authors: Prasanna Dr K. , Reddy B. Nayanika , Sathvika Chaganti , Himaja D , Prasanna Barenkala Laxmi
Published: June 2023

Abstract: Farming is essential to the economy of each and every country. Consistently, ranchers grow many harvests. Crop and forest products for both food and non-food products are included in agriculture. [ First, agriculture was an important part of the development of sedentary human civilization. One of the primary causes of crop devastation and inappropriate crop development is infection and disease. Several factors associated with plant disease diagnosis using deep learning techniques must be taken into consideration when developing a robust system for accurate disease management. This model utilizes profound learning and picture handling to distinguish plant sicknesses and prescribe natural answers for treating the plants. This model makes use of convolutional neural networks, which are crucial for visual imagery. Images are processed and libraries are extracted with Tensorflow. Keras is likewise utilized for highlighting extraction expectations and adjusting hyperparameters. In light of the kind of plant and sickness, this model additionally suggests natural arrangements like fertilizer, vermicompost, bonemeal, etc. Moreover, the model distinguishes bothers and proposes natural cures, for example, rejuvenating balms, cow manure, and neem glue to safeguard the harvest from harm. The project's objective is to reduce the economic and aesthetic damage caused by plant diseases and to provide farmers with an intuitive interface for organic plant cultivation. In order to provide the most precise Deep Learning results, this model looks for the ideal approach. Organic Solutions and a Model for Predicting Plant Diseases
Detection of Distracted Driver Using Convolutional Neural Network
Authors: Vamshi B. , Nikitha Challa Sri , Sreya Gangula , Sindhuja G. Sai , Nazneen Hasan
Published: June 2023

Abstract: Abnormal driving behaviour detection helps to ensure safety of driver and passenger. Recent studies have concluded that talking on phone while driving distracts driver attention upto 20%, which leads to accidents. Deep learning models can be used to find these distracted actions. In this system the abnormal behaviour of the driver like reaching behind, hair and makeup, drinking, texting etc. are detected through deep learning. Densely connected Convolutional Neural Networks, Residual Networks are used for detection. AWGRD model, the most sophisticated model of ResNet, is formedby superpositions of previous layers, and is used to detect the driver behaviour. The input to the proposed system will be a video file. The video input can be a real time live video or it can be uploaded. In output the system detects the activity or behaviour of the driver and warns them.
Easy Bus (Virtual Bus Pass and Bus Tracking System): Design and Implementation Using Machine Learning Algorithms
Authors: Garigipati Nagababu , Reddy C. Sharika , Charitha Challa Sai , Pujitha Kalwa , Krithika Rajoli Lakshmi
Published: June 2023

Abstract: Unforeseen and atypical road conditions have an impact on the functioning of the bus movement. Daily issues such as traffic congestion, unanticipated delays, fluctuations in student demand, and regular bus scheduling occur, leading to disruptions in students' schedules and necessitating their inevitable wait for their respective buses to arrive. To alleviate this inconvenience for students, a system that offers real-time information on bus locations can be introduced. EASY BUS is an interactive application that simplifies the process of using college buses, making it convenient and accessible. Common issues faced by bus-riding students, such as uncertainty about bus arrival times, missed buses, or operational status on a given day, are effectively resolved by this app. To make the most of this solution, students are required to install the app and regularly update their bus passes. This app boasts two prominent features: GPS tracking of bus locations and a virtual bus pass. The bus's whereabouts are tracked by a sensor every thirty seconds, and the collected data is transmitted to the server, which subsequently displays it on a map for the user (student). The app also offers a bus pass feature, allowing users to create new passes or renew their existing ones, with the associated charges processed through online payment methods
Artificial Neural Network Based Integrated Ambulance System
Authors: Ragini Dr. K. , Kunch Spoorthi G , Sathvika B. , Swathi K. , Prashanthi G.
Published: June 2023

Abstract: In emergency situations, almost all hospital beds were fully occupied, and the entire health department had to collapse. and the issues faced by the ambulance drivers who take the patients to the hospital had to wait outside the hospital for a prolonged time due to the unavailability of beds, ventilators, medical ICU, and a lack of oxygen supply, which led to the deaths of many patients. The major issue faced is that there is no proper system connecting all hospitals nearby for analyzing the condition of the patient inside the ambulance at the same time, and hospitals with the required equipment should be chosen at the right time. To prevent these situations, a system has been proposed in which decision-making will be done by analyzing the patient's condition using artificial neural networks and by retrieving information about the hospital and medical system's availability from a centralized server page connecting to all nearby hospitals.
Asset Tracking and Management System
Authors: M Dr. Renuka Devi S , Varshini Vulli , Shruthi Thotakuri , Nandini Palem , Bhavyasri Lanka
Published: June 2023

Abstract: This abstract presents an overview of an IoT-based asset tracking and management system. The system utilizes Internet of Things (IoT) technologies to enable real-time monitoring and tracking of assets in diverse industries. Today, the growth of technology is rapid and provides all necessary and effective solutions for their requirements. One of the most important areas of concern is security. In this scenario, IoT asset tracking is developed to increase the safety of any valuable items. The Internet of Things technology (IoT) can track and monitor an asset in the outdoor and indoor environment. This empowers business and end-users with the information and opportunity to run their operations effectively and make educated decisions respectively. The management of assets is a critical process for businesses to ensure that they are operating effectively. The system provides organizations with valuable insights into the location and utilization of their assets. It highlights the advantages of adopting this technology such as improved asset visibility and enhanced security. Furthermore, the abstract explores potential applications of IoT-based asset tracking in sectors such as logistics, transportation, and inventory management. Overall, this abstract demonstrates the significance of IoT in revolutionizing asset tracking and management processes ultimately leading to cost savings
An Experimental Study of Transparent Concrete by Using Optical Fibers
Authors: V Sahana Y , R Chandana T , N Manoj G , J Ajay H , S Tarun M , A Uma
Published: June 2023

Abstract: Transparent concrete is the new type of concrete introduced in the modern era which carries special property of light transmitting due to presence of optical fibers & is also known as translucent concrete or light transmitting concrete. It is lighter than conventional concrete having special features such as low density and thermal conductivity with main advantage of reduction in dead weight, faster building rate in construction, lower haulage & handling cost. Light is transmitted from one surface of the brick wall to the other due to glass rods along the overall width of the wall which allows light to pass through. An optical glass fiber (or optical fibre) is a flexible, transparent fibre made of glass (silica)or plastic, slightly thicker than a human hair & can function as waveguide, or “light pipe” to transmit light between the two ends. Main aim of the study is to design translucent concrete blocks with the use of glass rods with sand & cement then analyse their various physical & engineering properties with respect to conventional concrete blocks by adding glass rods of 1%, 2 %, 3 % 4 % 5% at 1.5 cm spacing
Novel Automatic Food Trading System Using Blockchain
Authors: Reddy M. Raghu Ram , Deepak P. , Anurag R. , Lokesh Asst Prof. Mr. B.
Published: June 2023

Abstract: The blockchain functions as a decentralized and collectively maintained ledger that allows anyone to contribute. It provides a secure and readily accessible source of information concerning farms, inventories, and contracts in the agricultural sector, where acquiring such data can sometimes be costly. By tracing the origin of food, blockchain technology supports the establishment of trustworthy food supply chains and fosters trust between producers and consumers. Its reliable data storage capabilities enable the implementation of data-driven solutions to enhance farming practices. Furthermore, when combined with smart contracts, blockchain technology facilitates prompt payments by linking them to recorded data changes within the blockchain.
WiFi Enabled in Campus Surveillance System Using HAAR Cascade Algorithm
Authors: S Kishore , S Mathi Shankar , J Joncy
Published: June 2023

Abstract: This paper focuses on the development of Wifi Enabled in Campus Surveillance System Using Haar Cascade Algorithm. The system captures and stores images of individuals accessing a building and matches them against a pre-existing database of authorized personnel. If a match is found, the system logs the entry time. Similarly, during exit, the same process will be followed. Unlike access cards or passwords, which can be easily stolen or shared, a person's face cannot be replicated or forged, making it a more reliable means of identification and identify any security breaches. With this system, authorized personnel can simply walk into the building, and their entry is automatically recorded. Overall, This system utilizing face recognition technology is a powerful security solution that offers enhanced security, improved efficiency, and real-time monitoring capabilities. Its ability to authenticate individuals based on their facial features is making it an attractive option for organizationslooking to improve their security.
Improved Phishing Detection using Ensemble Models in Machine Learning
Authors: Venkat Dasari Sri Sai Phani
Published: June 2023

Abstract: Phishing attack is one of the simplest ways to obtain sensitive information from innocent users who are unaware. The main motive of the phishers is to acquire critical information like username, password and bank account details etc. using a fake link which actually looks like a genuine one from an authorized source. Users who have good technical knowledge might be able to identify these links easily but for naive users, this is going to be dangerous as it might lead to loss of privacy and assets. There are other techniques of spam detection based on the sender’s information and content-based detection. In this paper we follow an efficient approach in which we can directly identify an URL if it is Phishing or not by its features using Machine Learning. The aim of this paper is to build multiple Machine Learning models, compare their performances and narrow down to best model based on its performance and efficiency.
Experimental Investigations on Wear and Mechanical Properties of Post Heat Treated Am 17-4 PH SS Parts
Authors: Chauhan Gunjan , Bala Prof. Niraj , Dhami Prof. S. S.
Published: June 2023

Abstract: Selective laser melting (SLM) is an advanced additive manufacturing (AM) technique which constructs 3D objects by melting powder materials in a laser, layer by layer, according to a computer-aided design (CAD) model. SLM is utilized to create products from a variety of materials, with qualities equivalent to benchmarked conventionally manufactured components. Because of these qualities, 17-4PH stainless steel is a suitable material for a diverse range of industrial applications, including structural parts in the aerospace, chemical and petrochemical sectors. The specimens using 17-4PH stainless steel powder were successfully manufactured by optimizing the parameters using SLM process. The as built specimens were heat treated using two different cooling rates. Present research paper evaluates and compares the microstructure, wear behavior and tensile strength of the finished additively manufactured specimens with as built, post heat treated and wrought specimens.
Digital Image Text Recognition Using Machine Learning Algorithms
Authors: U Chaitanya , Alisetti Emmanuel , Ballam Harsitha , Dodda Maneesha
Published: June 2023

Abstract: Text recognition is used in various fields like document analysis, picture labeling, and text analysis, etc. The process of recognizing text from image is very crucial.. Employing Maximally Stable Extremal Regions (MSER) and Optical Character Recognition (OCR) algorithms have drastically changed the accuracy and reliability of text detection from photos. Our proposed work suggests a model for text recognition that makes use of both the MSER and OCR algorithms' benefits for the purpose of accuracy improvement and reliability of the digital text extraction procedure. OCR follows cutting-edge techniques to distinguish and identify individual characters, serving as the essential building block for text recognition. However, these algorithms may struggle when dealing with complex backdrops, blurry photos, or text that is structured in an atypical way. We use MSER approach, which excels at recognizing text sections by finding maximally stable regions across various severities and scales, to solve these constraints. The suggested model employs a multi-stage methodology. The MSER algorithm is used for extracting the likely text spots from the input image first. To boost OCR performance, these zones are then fine-tuned using pre-processing techniques including noise reduction and picture enhancement. The OCR system next processes the cleaned-up sections, identifying each region's text using machine learning and pattern recognition methods. The text that is recognized is then further processed to increase the accuracy and refine these findings. Thus, compared to most other models, the text recognition model that is built utilizing the MSER and the CNN (OCR, a component of CNN) algorithm performs better
PENGARUH TECHNOLOGY ACCEPTANCE MODEL TERHADAP KEPUTUSAN MUZAKKI MEMBAYAR ZAKAT MELALUI FINTECH GOPAY (STUDI PADA MUZAKKI BAZNAS DKI JAKARTA)
Authors: Ichwan Afiful , Abdul Ghofur Ruslan
Published: June 2023

Indonesia is one of the countries with the most Muslim population.  but in Indonesia zakat so far the realization of its acceptance is far from the existing potential. Baznas as a government institution authorized to carry out the processing and distribution of Zakat funds continues to increase Zakat receipts by working together to bring innovative Zakat facilities through fintech Gopay, the results of this innovation with fintech Gopay have managed to help collect donations of 63 billion.  By using the Technology Acceptance Model.  the authors analyze and understand the factors in influencing the acceptance of use through technology. The formulation of the problem how the influence of the Technology Acceptance Model on the decision to pay Zakat through Fintech Gopay? The results of the study concluded that the Technology Acceptance Model (perceived usefulness and perceived ease of use) partially and simultaneously influences the decision to pay Zakat through Fintech Gopay
Keywords: Technology Acceptance Model, Zakat, Gopay fintech, Decision.
ANALISIS PERAN SUKUK SEBAGAI INSTRUMEN NEGARA DALAM MENGENTASKAN KEMISKINAN DI INDONESIA
Authors: Adinugroho Mukhtar
Published: June 2023

Today the capital market is one of the instruments that play an important role in the economies of both developed and developing countries. For developing countries like Indonesia, the capital market is an economic potential capable of offering solutions to capital problems that are often faced in the context of national development. Especially when efforts to obtain additional capital through loans are felt to be increasingly unprofitable. Likewise with the Islamic capital market, although it is still new when compared to other Islamic financial instruments, the development of the Islamic capital market in Indonesia is considered quite good. One of the Islamic financial instruments that are important financing for the state budget is Sukuk. Domestically, Sukuk has grown quite rapidly, although the proportion is still relatively small compared to conventional markets. This will be able to support the development of the Islamic capital market in Indonesia, especially if it is able to seize the opportunities that exist. One of these opportunities is that waqf assets are widely available in various regions in Indonesia and many of which have not been exploited productively. The dual integration between Sukuk and waqf in Sukuk Al Intifa'a is expected to be able to create a financial instrument that can boost economic development and as an alternative in efforts to alleviate poverty in Indonesia.

Keywords: Sukuk, Waqaf, Poverty, Sharia Capital Market
Peran Baznas Sebagai Filantropi Islam Dalam Menopang Ekonomi Masyarakat Ditengah Pandemi Covid-19
Authors: Shofiya Nabila Nada , Diah Fistasari Dini , Awwaliah Habibah , Wahyudi Noor
Published: June 2023

The serious impact of Covid-19 also occurred in the economic sector, while economic activities did not run as it should so that the community could not work and could not meet their daily needs. This should not be directly about the amount of poverty in Indonesia. Zakat as an Islamic financial instrument is not only intended to fulfill the necessities of mustahik life, but can be used as an instrument in economic development. The purpose of this choice is to discuss the role of zakat institutions in economic problems caused by the Covid-19 pandemic. This study uses qualitative methods with a research format or descriptive research. The results of the study stated that the Zakat Institution (BAZNAS) proposes to be a media and a means of distributing assistance to the Covid-19 affected communities through socio-economic emergency programs whose distribution is right on target. BAZNAS has focused the distribution of zakat funds into two programs that are urgently needed by the community, namely the emergency health program and the emergency socioeconomic program.Keywords: Philanthropy, BAZNAS, Economics, Covid-19, Zakat
ANALISIS DETERMINAN RASIO PEMBIAYAAN DAN BIAYA OPERASIONAL TERHADAP PROFITABILITAS PADA BANK JABAR BANTEN SYARIAH PERIODE 2017-2020
Authors: Zakiah Nurlaelah , Solehah Ilis
Published: June 2023

The purpose of this study was to analyze the level of the financing ratio or the Financing to Deposit Ratio (FDR) and operating costs (BOPO) to the Return on Assets (ROA) that occurred in BJBS for the 2017-2020 period. The research method used is in the form of quantitative analysis. The data source is generated from the Quarterly Reports published by the BJBS official website starting from the period 2017 to 2020. The results show that partially the FDR ratio shows a value of 0.620 > 0.05 meaning that there is no significant effect between FDR on ROA, while the BOPO ratio shows a value of 0.000 <0.05 means that there is a significant effect between BOPO on ROA. Simultaneously, the resulting value of 0.000 <0.05 means that there is a significant effect between FDR and BOPO on ROA. In that case, the R-Square value obtained is 0.820 or equivalent to 82% which indicates that the effect of FDR and BOPO on ROA is 82% while the rest (100% - 82% = 18%) is influenced by other variables outside of the research discussion.

Keywords; Financing to Deposit Ratio, Operational Costs, Return on Assets.
ISLAMIC FINANCIAL PLANNING: KONSEP LITERASI KEUANGAN SYARIAH SEBAGAI ALTERNATIF PERENCANAAN FINANSIAL BAGI MAHASISWA
Authors: Parhan Muhamad , Taufik Rakhmat Anwar Taufik Rakhmat , Abyan Ashshidqi Muhammad , Sylvia Dewi Lia , Bunga Edelweis Sherly Lorenza , Regina Prayoga Fitri
Published: June 2023

In this modern era, financial literacy is one of the most important substance. Financial literacy is an alternative strategy to building economic growth and financial stability to survive and face the diversity of services available. The concept of Islamic finance is managing finances better, and being smart for choosing halal and profitable investments. The role of students regarding the level of sharia literacy is needed to disseminate it to the community which will ultimately be implemented by the community itself. Improving financial literacy must be a program at every university for all students because the role of financial regulation, according to sharia is very important for a good level financial literacy. This study uses a qualitative research method with a descriptive approach. The technique used to collect data in this research is a questionnaire. The population of this research is Indonesian Muslim's students by using purposive sampling technique. The results show that most Indonesian Muslim students have some problems in managing finances. This happens because of the lack of socialization related to Islamic Financial Planning so that students find it difficult to apply it in everyday life. There needs to be long-term socialization so that students can understand it well.

Keywords; Islamic Financial Literacy; Islamic Financial Planning; Student Finance
ANALISIS EFEKTIVITAS PENYALURAN DANA ZAKAT OLEH BAZNAS KABUPATEN LANGKAT TAHUN 2020
Authors: Al Arif Nabil , Imsar Imsar
Published: June 2023

The authority locale government office responsible for gathering, circulating, and using zakat in all districts is the National Amil Zakat Agency (BAZNAS) which is settled in Langkat Regency. This study plans to look at the viability of the conveyance of zakat at BAZNAS in Langkat Regency in 2020. The subjective and quantitative strategies utilized in this study are portrayed in the accompanying segments. The subjective technique utilizes a graphic methodology. Rather than utilizing the Allocation to Collection Ratio (ACR) proportion estimation system in view of the Zakat Core Principles, a subjective methodology does as such (ZCP). To complete the examination, the 2020 Langkat Regency BAZNAS monetary report was utilized. The whole measure of ZIS gathered and appropriated during Langkat Regency in 2020 was Rp. 1,489,093,289, as per the BAZNAS report. 73% (73%) of appropriation in 2020 will be compelling or fall into the Effective class as per ZCP in light of information assortment and conveyance. This puts the 2020 Allocation to Collection Ratio (ACR) somewhere in the range of 70 and 89 percent
CONCEPTUALISING SHARIAH GOVERNANCE FOR HALAL HOTEL
Authors: Faisal Yudi Ahmad , Joeliaty Joeliaty , Ariawaty R. Rina Novianty , Firmansyah Egi Arvian
Published: June 2023

Penelitian ini memuat konsep model tata kelola Syariah untuk hotel halal dengan menggunakan studi kasus Indonesia. Selain itu, penelitian ini mencoba untuk menggali peran dan fungsi dari badan penetapan standar Syariah lokal dalam rezim peraturan nasional. Salah satu perkembangan paling penting untuk hotel halal yang baru lahir adalah upaya untuk mendirikan tata kelola (governance) Syariah, yaitu, proses keseluruhan yang mengatur aktivitas hotel halal untuk mematuhi Syariah atau hukum Islam. Proses ini dapat menciptakan kejelasan dan konsistensi aturan Syariah untuk industri hotel halal. Analisis data dari penelitian ini terutama berasal dari sumber informasi sekunder baik melalui regulasi atau peraturan yang ada tentang hotel halal, fatwa, laporan tahunan hotel halal, dan sumber sekunder lainnya. Orisinalitas penelitian ini berupa model tata kelola Syariah untuk industri hotel halal.
Kata Kunci: Tata Kelola Syariah, Hotel Halal, Badan Penetapan Standar Syariah.
EFFICIENCY ANALYSIS OF MALAYSIAN FAMILY TAKAFUL USING STOCHASTIC FRONTIER APPROACH
Authors: Nasution Zubaidah , Salsabila Labibah , Setiawan Surya
Published: June 2023

Malaysia has the most extensive family takaful market with a growth rate of 16 percent in 2015. Takaful development in Malaysia should be assessed to govern better improvement especially for the insuranceindustry. This research aims to examine the efficiency level of 11 family takaful in Malaysia from 2017 to 2020 using Stochastic Frontier Approach (SFA) involving management expenses as an input, net benefits & claims, and investment income as output. The result showed that Malaysian family takaful is considered less efficient from 2017 to 2020, with production efficiency level average at 56.83 percent. The author finds that management expenses negatively affect investment income, while net benefits & claims give positive impact. However, both variables are not significant enough to influence investment income.
Keywords: Malaysia, Efficiency Level, Stochastic Frontier Approach.
KONSEP HUTAN WAKAF DALAM PELESTARIAN HUTAN DAN PENCAPAIAN SDGs: PELUANG DAN TANTANGAN PADA PROVINSI KONSERVASI PAPUA BARAT
Authors: Saifuddin Muhammad Yahya , Aghsari Diah
Published: June 2023

Tulisan ini mengkaji tentang peluang dan tantangan Konsep Hutan Wakaf dalam Konservasi Hutan dan Pencapaian SDGs di Provinsi Konservasi Papua Barat. Proses pengumpulan informasi dilakukan dengan menggunakan metode Studi Literatur. Konsep hutan wakaf merupakan pertimbangan atas meningkatnya ancaman krisis lingkungan, terutama akibat deforestasi yang tidak terkendali. Upaya perlindungan pemanfaatan ekosistem secara berkelanjutan sejalan dengan gagasan Sustainable Development Goals (SDGs). Selanjutnya, Provinsi Papua Barat merupakan provinsi konservasi yang bergerak menuju pembangunan yang lebih berkelanjutan. Peluang konsep hutan wakaf di provinsi konservasi Papua Barat sangat cocok untuk menjaga kelestarian hutan sebab karakteristiknya yang sejalan dengan kelestarian lingkungan, yang memposisikan pembangunan berkelanjutan serta konservasi pada setiap kegiatan dan pertumbuhan ekonomi di Provinsi Papua Barat. Kemudian tantangan terkait literasi wakaf, kerjasama antar lembaga, belum optimalnya lembaga wakaf dan SDM, serta kesiapan anggaran pengelolaan hutan wakaf.
EFEKTIVITAS QARDH AL-HASAN DALAM KERANGKA ZAKAT PRODUKTIF UNTUK PEMBERDAYAAN UMKM
Authors: Rizal Fauzi
Published: June 2023

Perbedaan kondisi hidup merupakan keniscayaan di dunia ini dan kemiskinan adalah persoalan serius yang harus dicarikan solusinya. Kriminalitas dan tragedi pencurian tidak lepas dari persoalan kemiskinan. Ditengah persoalan ini, zakat adalah langkah solutif untuk menyelesaikan permasalahan kesenjangan ekonomi ditengah masayrakat. Selain zakat sebagai perintah dari Allah SWT juga sebagai fungsi "sosial ekonomis” dalam kerangka gotong royong antar sesama manusia. Penelitian ini bertujuan untuk mengetahui potensi zakat produktif dan efektifatas redistribusi dana zakat produktif untuk pemberdyaan UMKM. Tulisan ini merupakan studi kepustakaan menggunakan pendekatan grounded teory dengan metode SLR (Sistetmatic Literatur Review) bertujuan mendiskripsikan dan menganalisis secara kritis zakat produktif sebagai instrumen pemberdayaan masyarakat serta mensintesis hasil-hasil penelitian terdahulu. Tulisan ini selain mendiskripsikan zakat dari segala demensinya, juga menjelaskan zakat sebagai solusi kemiskinan dengan efektifitas konsep zakat produktif melalui akad qardh al-hasan. Hasil dari penelitian ini efektifitas zakat produkif dengan akad qardh al-hasan di setiap lembaga zakat berbeda-beda, ada yang terlaksana sesuai harapan dan umkm binaan memperoleh kehidupan yang layak dan dibeberapa tempat masih belum susuai harapan karena ada beberapa kendala yang harus dievaluasi. Terkahir upaya akad qardhul hasan dalam zakat produktif untuk mewujudkan kehidupan UMKM binaan menjadi lebih baik, akad qardhul hasan sebaiknya bertindak sebagai akad tatawwu' (tolong menolong) bukan bertindak sebagai akad komersial yang represif.
PERANAN ZAKAT PETANI KELAPA SAWIT DALAM PENINGKATAN EKONOMI MASYARAKAT DI JORONG LANGGAM SAIYO NAGARI KINALI KECAMATAN KINALI
Authors: Angraini Dewi Manda , Eriawati Yossi
Published: June 2023

Permasalahan utama dalam penelitian ini adalah bagaimana peran zakat kelapa sawit dalam meningkatkan perekonomian masyarakat di Jorong Langgam Saiyo Nagari Kinali Kecamatan Kinali. Penelitian ini bertujuan untuk mengetahui bagaimana peran zakat kelapa sawit dalam meningkatkan perekonomian masyarakat, cara menghitung zakat kelapa sawit, dan cara pendistribusian zakat kelapa sawit di Jorong Langgam Saiyo Nagari Kinali Kecamatan Kinali. Penelitian ini menggunakan metode penelitian lapangan (field research) dengan pendekatan kualitatif. Hasil penelitian menunjukkan bahwa zakat kelapa sawit memiliki peran penting dalam meningkatkan perekonomian masyarakat di Jorong Langgam Saiyo.
Kata Kunci: Zakat, Kelapa Sawit, Penyaluran
Citraan dalam Novel Segala yang Diisap Langit Karya Pinto Anugrah: Kajian Stilistika
Authors: Safitriani Safitriani , Hanifa Assifa Atsna , Nabila Nabila , Garwita Elpida Fathi
Published: June 2023

Penelitian ini bertujuan untuk mendeskripsikan citraan yang digunakan dalam novel Segala yang Diisap Langit  Karya Pinto Anugrah melalui kajian stilistika. Pemilihan novel Segala yang Diisap Langit dilatarbelakangi oleh penggunaan citraan oleh Pinto Anugrah dalam mengrekspresikan hasil pemikiran imajinatif sehingga menghadirkan gambaran dan bayangan yang nyata di benak pembaca. Dalam novel ini, pembaca seakan-akan berada di dalam cerita, sebab pengarang banyak menggunakan citraan dalam menyajikan cerita. Peneliti menggunakan metode penelitian kualitatif deskriptif. Data dalam penelitian ini berupa kata, frase, kalimat, dan paragraf, dalam novel Segala yang Diisap Langit Karya Pinto Anugrah. Langkah penelitian yang dilakukan di antaranya: (1) pengumpulan data; (2) analisis data; dan (3) penyajian hasil analisis. Pengumpulan data dilakukan  teknik pustaka, simak, dan catat. Data dianalisis dengan penafsiran berdasarkan pemahaman penulis terhadap teori. Penyajian hasil analisis dilakukan dengan teknik informal, yakni pemaparan melalui kata-kata yang mudah dipahami. Dari hasil penelitian ditemukan citraan penglihatan, citraan pencium, citraan rabaan, citraan rasaan dan citraan pendengaran. Berdasarkan data penelitian yang telah dianalisis maka dapat disimpulkan bahwa citraan penglihatan mendominasi kemudian citraan rasaan selanjutnya citraan rabaan lalu citraan pendengaran dan terakhir citraan penciuman dalam novel Segala yang Diisap Langit karya Pinto Anugrah.
Nilai-Nilai Didaktis dalam Novel Hafalan Shalat Delisa Karya Tere Liye
Authors: Latif Abdul , Sumiyadi
Published: June 2023

Nilai didaktis dapat dipelajari melalui sebuah karya sastra berupa novel. Novel menyajikan interpretasi dari kehidupan nyata ke fiktif. Penelitian ini mengkaji nilai-nilai didaktis pada sebuah novel dengan menggunakan metode kualitatif analisis deskripsi melalui pendekatan sastra didaktis. Sumber data berasal dari novel Hafalan Shalat Delisa hasil karya penulis ternama Tere Liye. Hasil penelitian menunjukkan bahwa di dalam novel tersebut terdapat nilai-nilai didaktis, yaitu (1)  kajian alur tokoh dan penokohan serta latar ditemukan nilai-nilai karakter berupa kejujuran, disiplin, semangat tinggi, periang (2) terdapat nilai pendidikan nasional, yaitu nilai karakter profil pancasila, yaitu (a) beriman, bertakwa kepada Tuhan YME dan berakhlak mulia, (b) berkebhinekaan global, (c) bergotong royong, (d) kreatif, (e) bernalar kritis, dan (f) mandiri. Pada akhirnya, novel tersebut dapat menjadi bahan ajar pembelajaran sastra di sekolah untuk meningkatkan karakter siswa yang positif.