bluuebunny/crossref_metadata_2025 huggingface dataset:
Pemberian Hadiah Pada Tabungan Sajadah Di Baitul Maal Wat Tamwil Nuansa Umat (BMT NU) Jawa Timur Cabang Larangan Perspektif Fatwa DSN-MUI No.86/DSN-MUI/XII/2012
Authors: Yunus Hanafi , Nuriyah Lailiyatun
Published: April 2022

Terminologi hadiah dalam kegiatan penghimpunan dana Lembaga Keuangan Syariah masih memerlukan penjelasan yang lebih rinci.. Salah satu lembaga keuangan syariah adalah Baitul Maal wa Tamwil (BMT) atau disebut juga “Koperasi Syari’ah” merupakan lembaga keuangan syari’ah yang berfungsi menghimpun dana dan menyalurkan dana kepada anggotanya dan biasanya beroperasi dalam skala mikro. Adapun disini penulis meneliti di BMT NU Cabang Larangan yang mempunyai beberapa produk-produk syariah, namun yang akan dibahas oleh penulis yakni Tabungan SAJADAH (Simpanan Berjangka Wadiah Berhadiah). Semakin ketatnya persaingan antara bank syariah membuat DSN-MUI mengeluarkan fatwa yang menjadi landasan dalam praktik pemberian hadiah dalam akad wadiah. Maka terbentuklah Fatwa DSN-MUI No.86/DSN-MUI/XII/2012.

Fokus penelitian ini adalah bagaimana praktik pemberian hadiah pada tabungan SAJADAH di BMT NU Cabang Larangan di Desa Blumbungan Kecamatan Larangan Kabupaten Pamekasan dan bagaimana persepektif Fatwa DSN-MUI No. 86 Tahun 2012 tentang pemberian hadiah pada Tabungan SAJADAH di BMT NU Cabang Larangan di Desa Blumbungan Kecamatan Larangan Kabupaten Pamekasan. Adapun tujuan dari penelitian ini yakni ingin mengetahui praktik pemberian hadiahpada tabungan SAJADAH di BMT NU Cabang Larangan di Desa Blumbungan Kecamatan Larangan Kabupaten Pamekasan dan ingin mengetahui perspektif Fatwa DSN-MUI No. 86 Tahun 2012 tentang pemberian hadiah pada tabungan SAJADAH di BMT-NU Cabang Larangan di Desa Blumbungan Kecamatan Larangan Kabupaten Pamekasan.

Metode penelitian yang digunakan dalam penelitian ini adalah jenis penelitian normative-empiris dan pendekatan penelitian kualitatif yang bertujuan membuat deskripsi gambaran secara sistematis, fakta, dengan teknik wawancara dan obserbvasi langsung kemudian mengambi kesimpulan.

Praktik pemberian hadiah pada produk tabungan SAJADAH di BMT NU Cabang Larangan di Desa Blumbungan Kecamatan Larangan Kabupaten Pamekasan merupakan praktik pemberian hadiah pada nasabah penabung dengan akad yang digunakan yaitu akad wadi’ah. Pada praktik ini, nasabah mendapatkan hadiah yang diberikan oleh pihak BMT, yang mana hadiah tersebut tidak diperjanjikan di awal akad. Akad yang digunakan dalam tabungan sudah sesuai. Dalam Perspektif Fatwa DSN-MUI No. 86 Tahun 2012, praktik pemberian hadiah pada produk SAJADAH di BMT NU Cabang Larangan itu sah, karena tidak diperjanjikan di awal akad.
Pendekatan Maqashid Syariah Terhadap Konsep Makanan Halalan Thoyyiban Dalam Islam
Authors: Maheran Siti , Saiin Asrizal , April Muhammad , Rizki Muh
Published: April 2022

Perintah untuk mengkonsumsi makanan dari yang halal dan baik telah jelas dan terang disampaikan Allah swt di dalam al-Qur’an, dan hal itu dapat dipahami di dalam konsep maqashid asy-syariah. Penelitian ini bertujuan untuk memahami bagaimana konsep maqashid syariah dapat memberikan suatu pendekatan dalam memahami maksud dan tujuan dari makanan halalan thoyyiban dalam Islam. Metode yang digunakan dalam penelitian ini adalah metode penelitian deskriptif kualitatif dengan jenie. Hasil dari penelitian ini adalah bahwa makanan yang halalan thoyyiban dalam Islam merupakan perwujudan dari unsur pokok dari tujuan syariat (maqashid asy-syariah), yaitu menjaga agama (hifdz ad-Diin), menjaga jiwa (hifdz an-Nafs), menjaga akal (hifdz al-‘Aql), menjaga keturunan (hifdz an-Nasl), dan menjaga harta (hifdz al-Mal).
Características sensoriais e aceitação de queijos caprinos como incentivo ao consumo de derivados de leite de cabra no Brasil
Authors: Benevides Selene Daiha , Garruti Deborah Dos Santos , Laguna Luis Eduardo , Do Egito Antônio Silvio , Dos Santos Karina Maria Olbrich , Deliza Rosires , Queiroga Rita de Cássia Ramos do Egypto
Published: April 2022

Os produtores de queijo de cabra têm demandado por novas tecnologias para diversificar a oferta de produtos derivados do leite caprino, visando o aumento de seu consumo. Em virtude disso, o objetivo deste estudo foi avaliar, em três capitais brasileiras, a aceitação sensorial de diferentes queijos de leite de cabra, cuja caracterização sensorial foi feita pelo método check-all-that-apply (CATA). Para isso, foram elaborados três diferentes queijos de leite de cabra, dos quais duas variedades do tipo coalho e um probiótico cremoso. Na elaboração de um dos queijos tipo coalho, foi incorporado o óleo de pequi – fruta com alto teor de ácidos graxos insaturados, carotenoides e antioxidantes –, o outro queijo coalho foi maturado e defumado, o que lhe confere cor amarela e sabor característico defumado. O queijo cremoso com probiótico foi desenvolvido para atender aos consumidores que demandam por produtos saudáveis e com apelo funcional. A aceitação e a caracterização sensorial dos queijos foram realizadas por meio da aplicação da escala hedônica e do teste check-all-that-apply (CATA). Os resultados indicaram boa aceitação dos três queijos e potencial para a produção e comercialização desses produtos, para atender à demanda tanto de produtores como de consumidores de leite e queijos caprinos. O teste CATA é uma ferramenta promissora para auxiliar o desenvolvimento de produtos lácteos caprinos, quanto às análises de características sensoriais e percepções dos consumidores, e pode contribuir para agregar alto valor e promover a comercialização desse segmento de alimentos.
Condition Classification of Fibre Ropes during Cyclic Bend over Sheave testing Using Machine Learning
Authors: Falconer Shaun , Krause Peter , Bäck Thomas , Nordgård-Hansen Ellen , Grasmo Geir
Published: April 2022

Fibre ropes have been shown to be a viable alternative to steel wire rope for offshore lifting operations. Visual inspection remains a common method of fibre rope condition monitoring and has the potential to be further automated by machine learning. This would provide a valuable aid to current inspection frameworks to make more accurate decisions on recertification or retirement of fibre ropes in operational use. Three different machine learning algorithms: decision tree, random forest and support vector machine are compared to classical statistical approaches such as logistic regression, k-nearest neighbours and Naïve-Bayes for condition classification for fibre ropes under cyclic-bend-over-sheave (CBOS) testing. By measuring the rope global elongation throughout the CBOS tests, a binary classification system has been used to label recorded samples as healthy or close to rupture. Predictions are made on one rope through leave-one-out cross validation. The models are then assessed through calculating the accuracy, probability of detection, probability of false alarm and Matthew’s Correlation Coefficient, and ranked based on the results. The results show that both machine learning and classical statistical methods are effective options for condition classification of fibre ropes under CBOS regimes. Typical values for Matthews Correlation Coefficient (MCC) were shown to exceed 0.8 for the best performing methods.
Short term blood pressure variability and diastolic function in middle-aged normotensive individuals
Authors: Açıkgöz Eser , Açıkgöz Sadık Kadri , Habip Fadime Bozduman
Published: April 2022

Objective: Blood pressure variability (BPV), a non-conventional blood pressure parameter, has been shown to contribute hypertensive target organ damage but its association with diastolic dysfunction is unknown. The present study investigates the association of BPV and left ventricular diastolic dysfunction (LVDD) in middle-aged normotensive individuals.

Materials and Methods: 264 normotensive patients aged between 45 and 65 were enrolled. 24-hour ambulatory blood pressure monitoring were performed and BPV was defined as the standard deviation of systolic blood pressure measurements. Patients were divided into 3 groups according to BPV tertiles. Echocardiographic and tissue doppler diastolic function parameters were compared among the groups.

Results: Mean age of the patients were 50.41 and similar among groups. Mitral inflow E/A (Tertile 1 vs 2 vs 3: 1.10[0.33] vs 1.05 [0.22] vs 1.02 [0.30], p=0.02) and average tissue doppler mitral annular E’ velocity (12 [2] vs 10.5 [1.85] vs 10 [1.55], p=0.02) were highest in the tertile 1 and lowest in the tertile 3. Average E/E’ (Tertile 1 vs 2 vs 3: 7.2 [2.2] vs 8.1 [3.2] vs 9.3 [2.9], p<0.001) was lowest in the tertile 1 and highest in the tertile 3. In addition, there was a positive correlation between BPV and Average E/E’ (Rs =0.401, p<0.001). In contrary, E/A (Rs =- 0.286, p<0.001) and average E’ (Rs =- 0.451, p<0.001) were negatively correlated with BPV.

Conclusion: BPV is positively correlated with average E/E’ and negatively correlated with E/A and average E’. Further studies are required to elucidate the relationship of BPV and LVDD.
Evaluation of postpartum depression and maternal attachment scale in a low socioeconomic level region: How was it affected during the Covid-19 pandemic period?
Authors: Denizli Ramazan , Farisoğulları Nihat , Sakcak Bedri , Çiçekli Nayif , Özdemir Mikail , Sakin Önder
Published: April 2022

Objective: We aimed to investigate the frequency of Postpartum Depression (PPD) and maternal attachment status in a region with a low socioeconomic level during the Covid-19 pandemic. Materials and Methods: Two hundred women who gave birth in our hospital were evaluated on postpartum 10th day with Edinburgh Postnatal Depression Scale (EPDS) and Maternal Attachment Inventory (MBI). Results: The mean EPDS in the group with Normal Body Mass Index (BMI) was lower than in the other two groups. Average EPDS was higher in the group with sleep problems than those without sleep problems. Women who received support from their spouses had lower EPDS scores and higher MBI scores. EPDS scores were lower in the group with a good income. MBI scores were found to be lower in people within the increased length of hospital stay. Conclusion: In the study, we conducted with a group with a low socioeconomic level during the pandemic. We determined that PPD rates increased considerably, and this situation
Analysis of financial literacy level of students in economics education and non-economic study programs
Authors: Robbani Hamzah , Sumarni Anisa
Published: April 2022

The aims of this research is to know about the financial literacy index and finding significant differences levels of financial literacy from Economic Education and from Non Economic study programs. This research population are students from Study Programs of Economic also students from Non Economic. The sampling technique that researcher use is Purposive sampling technique, furthermore the number of sample is determine by Slovin technique. The number of the sample in this research is 30 students from Economic Education and 30 students from Non Economic. Descriptive analysis and Paired Sample T-Test are the analysis technique that researcher use for this research. The result of this study showed that students' literacy about financial is on the low category (<60%), moreover it also showed that there is significant differences level of students financial literacy between the two of them
Analisis Memori Kolektif Sesepuh tentang Bung Karno di Blitar
Authors: Subekti Aji , Hendriyanto Hendriyanto
Published: April 2022

This study preserves and analyzes the typology of the collective memory of the elders, regarding Bung Karno's events and thoughts. This study uses a qualitative approach of collective memory study from Maurice Halbwachs and memory typology from Abidin Kusno. The population of this study is elders who are in Blitar with the criteria of having met and seen Bung Karno directly. The selection of informants also used a snowball sampling technique, based on key informants who had been determined by the boundaries of the elders in Blitar. The results of this study found 4 (four) treatments for this typology of collective memory, such as (1) overcoming memory, (2) unexploring memory, (3) conquering memory and, (4) marketing memory. Based on the memory typology, the researcher obtained 4 (four) concepts that can be analyzed. The first is collective memory that forms the city identity. The second is Bung Karno's thoughts on unity, and Trisakti. The third is De-Sukarnoization which means the efforts to eliminate Bung Karno's influence and thoughts as well as to obscure Bung Karno's role and contribution in history. The last is the Bung Karno Library's efforts to become a center of excellence, which is creating a database on the collective memory of elders about Bung Karno. The conclusion is that the recording and study of the collective memory of the elders completes the information needs of the community regarding oral and written sources spread throughout the Blitar community about Bung Karno.
Who is afraid of fake news? Modeling risk perceptions of misinformation in 142 countries
Authors: Knuutila Aleksi , Neudert Lisa-Maria , Howard Philip N.
Published: April 2022

Using survey data from 154,195 respondents in 142 countries, we investigate internet user perceptions of the risks associated with being exposed to misinformation. We find that: 1) The majority of regular internet users globally (58.5%) worry about misinformation, and young and low-income groups are most likely to be concerned. 2) Risk perception among internet users varies starkly across regions whereby concern is highest in Latin America and the Caribbean (74.2%), and lowest in South Asia (31.2%). 3) Differences are unrelated to the prevalence of misinformation, yet concern is highest in countries with liberal democratic governments. We discuss implications for successful policy and platform interventions.
Analisa Pengembangan Sistem Pemantau Daya Listrik Berbasis IoT
Authors: Fenty Pandansari  , Prasetyo Hoedi , Tularsih Yustina Tri
Published: April 2022

The IoT-based power monitoring device is a device composed of a CT sensor of  type SCT-013, an AC-AC power adapter, an Arduino, and a Raspberry Pi. The tool is used to monitor voltage, current, frequency, real power, apparent power and power factor. The measured basic quantities are voltage, current, and frequency. The purpose of the measurement and monitoring processes is to conserve, control the quality, and control the use of electrical energy. In the measurement and monitoring process, tool accuracy is very important because it is closely related to the quality of electrical energy. This study presents an analysis of the accuracy of the power monitoring tool  according to the variations in voltage, current, and frequency at the source. The method used is to vary the voltage, current and frequency used as input to the system and compare the measurement results of the power monitor with the Fluke True RMS Multimeter. The test results show that the level of accuracy of the IoT-based power monitoring device on the voltage parameter is 99.1%, the current parameter is 98.75%-99.25% and the frequency is 100%, so it is a proper tool to measure the quality of electrical energy.
The satellite constellations in the respond to the governmental and military technological requirements of the current space communication trends.
Authors: Borek Rafał , Woźnica Justyna , Malawski Marek
Published: April 2022

Objectives

The deliberation issues of this article are focusing on the satellite constellations as the governmental and military technological requirements responding to the current space communication trends

Methods

For the purposes of this research, the following theoretical research methods were applied: analysis, synthesis, abstraction, generalisation and inference.

Results

Paper reveals a brief description of the satcom evolution, as well as, the market analysis of current and emerging trends which clearly indicate that the small satellites and their constellations are presumed to remain the largest and the fastest growing segment both for the structured institutions of European Members in the governmental and military area. This institution performs the solution for innovative R&D projects and in more independent perspective acts with the business domain or administrative diplomatic efforts to create the balanced synergy in undertaken projects for worldwide security factor.
A short, non-technical description of a set of general requirements of civ-mil users for the satcom is also presented in this paper.

Conclusions

The research results presented in the analysed studies are useful for providing the worldwide standards of security and order in spite of developing technologies and competitiveness in faster data processing of outer space technology requirements. There shall be taken into consideration the solution of bilateral cooperation of EU institutions and non- structured EU entities under the common agenda of European investment in the space technologies and science as the resilient structure to strengthen European Continent as the global actor and expert in the government and military requirements of the current satcom trends
Alergias alimentarias en pacientes con glositis migratoria benigna
Authors: Tamayo-Martínez Geberth Jr. , Salas-Rivas Gerardo Manuel
Published: April 2022

Introducción: la glositis migratoria benigna, también conocida como lengua geográfica, es una variante normal, que presenta zonas superficiales circulares. Segúnla literatura revisada, dentro de sus causas figuran los procesos alérgicos, en los que están las alergias alimentarias. Se decidió realizar esta investigación para determinarla prevalencia de las alergias alimentarias frecuentes en estos pacientes mediante pruebas cutáneas. Materiales y métodos: se realizó un estudio descriptivo, longitudinaly prospectivo. La muestra estuvo compuesta por 27 pacientes en el período de enero hasta agosto de 2018 en portadores de glositis migratoria benigna, a los cuales se les realizaron pruebas alérgicas de tipo cutáneas para la determinación de alergiasalimentarias. Resultados: el 59,3 % fue mujer y el antecedente alérgico más frecuente fue la rinitis alérgica. El antecedente de alergia alimentaria más frecuente fue los lácteos. Respecto a los resultados de las pruebas para la leche y los mariscos, estas dieron positivas en la mayoría de los pacientes, seguidos por el pescado, los huevos y los frutos secos. La prevalencia de positividad para por lo menos una prueba fue de 85,2%. Discusión: actualmente no existe suficiente literatura que hable sobrelas posibles etiologías de la glositis migratoria benigna. Dentro de los antecedentes alérgicos, la rinitis alérgica fue la más frecuente, seguida de la alergia alimentaria. Hasta ahora existen pocas investigaciones que estudien esta prevalencia de alergias alimentarias en los pacientes de forma específica.
Caracterización de los pacientes con tamizaje auditivo neonatal anormal en el Hospital Universitario Clínica San Rafael, durante los años 2018-2020
Authors: Macías-Tolosa Camilo , Guzmán Leonardo , Gómez Ávila Niyireth , Paredes Aguirre Dunia Ximena , Martínez Henry
Published: April 2022

Introducción: la hipoacusia neonatal (HN) constituye un problema de salud relevante por su alta frecuencia de presentación y los efectos que esta puede tener en el desarrollo mental y psicológico del paciente. El tamizaje auditivo neonatal (TAN) es fundamental para la identificación de pacientes en riesgo de HN. Objetivo: caracterizaciónde los pacientes con resultados anormales en las pruebas de TAN enel Hospital Universitario Clínica San Rafael. Diseño: estudio observacional descriptivo de corte transversal. Materiales y métodos: se identificaron características biológicas y clínicas en pacientes con emisiones otoacústicas o potenciales evocados auditivos anormales realizados entre 2018 y 2020. Los pacientes incluidos sedividieron en 2 grupos, según la presencia de los factores de riesgo para HN. Resultados: 9027 pacientes se tamizaron, 223 (24,7 %) tuvieron resultados anormales y 19 pacientes se excluyeron. En total, 204 pacientes se incluyeron, de los cuales 46 (22,5 %) fueron de alto riesgo (AR) y 158 (77,5 %) de bajo riesgo (BR). El TAN en pacientes BR se realizó antes del primer mes de vida en 78,5 % de los casos y en 21,4% de los AR. Las características más frecuentes fueron la ventilación mecánica (45,6%), la hospitalización en cuidados intensivos (43,5 %), la anormalidad craneofacial(15,2 %) y la hiperbilirrubinemia mayor de 20 mg/dL (10,8 %).
Diagnóstico y tratamiento de la rinosinusitis crónica en adultos. Consenso de expertos: Asociación Colombiana de Otorrinolaringología-2021.
Authors: Silva-Rueda Ricardo , Ospina Javier Andrés , Bedoya Juan David , Mora-Díaz Carolina , Castro Carlos Alberto , Sánchez-Vanegas Guillermo , Herrera Alfredo José , Villamizar-Rubio Jorge Rafael , Melo Jorge Eduardo , Delgado-Salazar Nelson Alexis , Cardozo-Trujillo María Dulce , Duarte Juan Pablo , Santa-Cancino Ana María , Vergara-Hernández Jeaneth Cecilia , Jaraba-Pérez Ricardo Antonio , Pinzón Martín Alonso , Campuzano-Hincapié Carolina , Fajardo-Roa Jorge Alejandro , Cobo-Sefair Roxana
Published: April 2022

Introducción: Introducción: la Rinosinusitis Crónica se define como la inflamación crónica de la nariz y los senos paranasales por más de 12 semanas. La prevalencia varía entre el 5% - 30% de acuerdo con la zona geográfica según un estudio de carga de enfermedad (2012-2014), la prevalencia de las enfermedades respiratorias crónicas (rinitisy sinusitis crónica) varió entre el 10% y el 25%. Objetivo: establecer un conjunto de consideraciones basadas en consenso de expertos, para el diagnóstico y el tratamiento de la rinosinusitis crónica en pacientes adultos, en el contexto colombiano. Métodos: se llevó a cabo un consenso formal (Delphi y nominal). Se conformó ungrupo de expertos, se definieron el alcance y las preguntas. Se realizaron dos rondas de calificación anónimas, y una discusión para las preguntas sin consenso. En las preguntas con opciones de uno a nueve, se consideró consenso con una mediana deuno a tres o de siete a nueve. En las preguntas tipo Likert, se consideró consenso un porcentaje igual o superior al 80% en acuerdos o desacuerdos. Resultados: se definieron y calificaron 18 preguntas, con la participación de 17 otorrinolaringólogos,de 8 ciudades colombianas, todos miembros de la Asociación Colombiana de Otorrinolaringologíay con un promedio de experticia de 19.2 años (Desviación estándar [DE]: 10,2). Se obtuvieron 18 recomendaciones para el diagnóstico y el tratamientode esta patología. Conclusiones: las recomendaciones emitidas por los expertospermiten orientar y estandarizar el diagnóstico y el tratamiento de la rinosinusitis crónica en adultos, en el contexto de los servicios de salud en Colombia.
Pathogenesis Aspects of Microvascular Complications in Diabetic Retinopathy: Narrative Literature Review
Authors: Olga Simó-Servat  , Cristina Hernández  , Simó Rafael
Published: April 2022

Chronic hyperglycemic conditions in diabetes mellitus can cause changes that result in chronic complications, both macrovascular and microvascular. There are several mechanisms thought to cause microvascular damage and retinopathy in diabetes, namely the polyol pathway, formation of advanced glycation end products (AGE), activation of protein kinase C (PKC), oxidative stress, and increased activity of the hexosamine pathway.
Approach For Segmentation of Masses in Mammographic Images Based on A Change in Grow Cut
Authors: B. Bhalerao Pramod , Bonde S. V.
Published: April 2022

Throughout the world, breast cancer is common cancer in women that contribute to high death amongst women. The early diagnosis and corresponding treatment can increase the possibilities of survival. In contrast, the challenging task is to detect the mass early in mammographic images, which is difficult due to noise and contrast. Mammography is the most capable technique used by radiologists frequently, which helps detect abnormal mass at an early stage; it is one of the methodologies to identify breast cancer. Here, a system is used to detect the tumor, with a modification in the grow cut algorithm. A new method is suggested based on segmentation by changing the modified grow cut algorithm by improving the region of interest. A modified grow cut algorithm has changed seed selection in mammogram images from manual into the semiautomatic way and has worked on non-defined borders. The earlier algorithm grows the region of interest only for the neighbor of current pixels and, consequently, a neighbor. Still, a change is made in the methodology for growing the region of interest within the class and between a neighbor cell's neighbors. This will ensure to get a more effective segmented area for abnormal mass than the previous method. The proposed technique is evaluated with the help of the mini M.I.A.S. database by considering circumscribed lesions, speculated lesions. Through result analysis, it is clear that the proposed technique gives better results for speculated, circumscribed lesions based on a comparison of ground truth images and segmented results.
A Stable Payoff Allocation Protocol for Controlling the Selfishness and Managing the Power Consumption in Mobile Ad Hoc Networks
Authors: Singh Moirangthem Tiken , Borkotokey Surajit
Published: April 2022

We present a model to control the mobile nodes’ selfish behavior in Mobile Ad Hoc Networks using the cooperative game. We design the model such that a path from a source node to a destination node is a stable coalition among the nodes. We achieve this by compensating the nodes using virtual currency to take part in the coalition formation. The incentive provided to a node taking part in the coalition is determined using the Shapley value of the coalition formed. We also design the model to use minimum power to reach the one-hop node in the communication path. We achieve each node’s dynamic power control while forming the coalition among the nodes in the path from the source node to the destination node. In addition to these, we design the model where a node in the path should be truthful regarding the power requiring to reach a one-hop node. Finally, we perform a rigorous simulation to check the performance of the model.
An Efficient Machine Learning Techniques as Soft Diagnostic for Tuberculosis Classification Based on Clinical Data
Authors: Abdualgalil Bilal , Abraham Sajimon , M. Ismael Waleed
Published: April 2022

TB infection is a global problem, especially in Yemen. Early detection is critical to reducing TB deaths. As a result, accurate tuberculosis diagnosis takes time due to numerous clinical examinations. This problem requires a new diagnosis schema. In this study, we proposed classification models based on Efficient Machine Learning Techniques (EMLT), which predict whether the patient is TB-positive or TB-negative. Nine Different Efficient Machine learning models were trained and tested in two imbalance dataset cases using Stratified 10-Fold Cross-Validation and Holdout Cross-Validation and balanced dataset case using Holdout Cross-Validation with Synthetic Minority Oversampling Technique (SMOTE). The best model was evaluated on a test set using F1-score measure in imbalanced dataset case and accuracy measure in balanced dataset case. Based on the obtained results, the models that achieved the highest value of the F1-Score measure in the imbalanced dataset were LR and GBC with 99.826% value in Stratified Cross-Validation approach and GBC with 86.0334 in the Holdout Cross-Validation approach. And the models that achieved the highest value of the accuracy measure in the balanced dataset case (SMOTE) and Holdout Cross-Validation, were LR and GBC with a 99.725% value.
Efficient and Secure Multi-Keyword Ranked Search and Group Data Sharing for Encrypted Cloud Data
Authors: N. Sarode Snehal , R. Chillarge Geetha
Published: April 2022

Nowadays due to the popularity of clouds and their quality services, many of the users such as organizations, industries as well as individuals are migrating towards the cloud to store their important, confidential data and get easy access to their data anywhere anytime over the internet. Different encryption techniques are employed in cloud computing to ensure data confidentiality, security, and privacy. This makes it harder for endusers to retrieve precise data. Due to the huge amount of data over the cloud and multiple data users, secure data storage and retrieval are required. So in this paper develop an efficient data group sharing and multi-keyword ranked search method for encrypted cloud data collection in this research work. The developed system is implemented using the El-Gamal cryptography algorithm to provide security through effective key generation techniques and encryption strategy. Here, a multi-owner data setting is used instead of a centralized data owner setting; each member of the system in one particular group gets equal rights for both searching and sharing functionality and this may increase system usability. By taking into consideration lots of data in the cloud, the vector space model and TF-IDF model are utilized and according to the cosine similarity score, the method generates a ranked multikeyword search result to deliver effective query result from numerous data and enhance secrecy in the situation of numerous data owners. In this system searching efficiency is improved by developing an index-based search structure. In the group, data can disperse with co-owners/users by developing a role-based access policy (RBAP), and a user revocation strategy is developed with low computation time as well as communication overhead. At last, the efficiency and security of a developed system are exhibited by broad exploratory assessment.
Grading of Diabetic Retinopathy in Suspected Individuals
Authors: Sewal Neha , Virmani Charu
Published: April 2022

Diabetic retinopathy is a fast-spreading eye disease and this may lead to blindness in working-age adults. Between 32 to 40 % of about 347 million people suffer from diabetic retinopathy. It is a silent vision problem and thus, requires regular annual check-ups which will help in controlling the disease at initial stage and effective treatment will provide favorable results. The research utilizes a deep learning approach for diabetic retinopathy classification, which also will aid in addressing real-world issues. The work has already been done to solve this issue with the use of different classification techniques but somehow the efficiency of the training algorithm is dependent on the quality of feature extraction, which necessitates domain expertise. The current work solves the issue by applying a deep learning algorithm that recognizes the pattern and classifies retinal fundus images as normal or infected. In this study on the different categories of diabetic retinopathy 3662 retinal images were analyzed. The categories that are present in the data are No- diabetic retinopathy , mild, moderate, severe, and proliferative diabetic retinopathy . The publicly available retinopathy detection database and a trained model will be used in the experiments to retrieve the features of the ocular images and provide an appropriate output. The goal of this study is to apply and comprehend how the performance of a pretrained model distinguishes between proliferative and nonproliferative diabetic retinopathy.
Enhanced Local Ternary Pattern method for Face Recognition
Authors: Kumar B L Sunil , N V Suchetha , Kumari M Sharmila
Published: April 2022

Biometrics is a term used to determine an individual's identification based on physiological or behavioral traits. Such physiological or behavioral characteristics differ from person to person. For this reason, it is more secure and popular to authenticate the person using biological characteristics than other conventional authentication methods. The Local Binary Pattern (LBP) face recognition system is widely used but is noise sensitive. For the purpose of improving the performance, a descriptor of a local texture called Local Ternary Pattern (LTP) is introduced, which is more discriminating in uniform regions and less noise sensitive. The proposed method called Enhanced LTP (ELTP), uses pre-processing technique. Here, the input image is pre-processed using Gamma Correction and Histogram Equalization. The LTP is applied on pre-processed image to get the finalized feature vectors. Experimentation is conducted on the standard datasets ORL, UMIST and VTU (VISA) face datasets. It is proved that ELTP shows better accuracy than other face recognition methods.
A Missile Jamming Design for Aircraft Defence Using Infrared Automated Counter Measures
Authors: Kumar M Bharat , Kumar P. Rajesh
Published: April 2022

Infrared guided missiles possess a greater threat towards aircrafts in the scenario of defence. Securing aircrafts from such attacks requires an active directed infrared counter measure. Since DIRCM systems require the parameters of the missile signals to be known in advance, they suffer when attempted to be applied in real time. This paper proposes anInfrared Automated Counter Measures (IRACM) system with an equippedmissile alert equipment (MAE) capable of estimating the signal parameters once the signal is detected. Jamming is performed by which the missiles are subjected to miss the target along the field of vision by updating the jammer frequency based on the signal parameters. Since IR flashes in IRACM are emitted directly towards the missiles, it is considered more efficient when compared with the flare methods which emits in all directions. The experimental results of proposed method reveal that the system performs well in estimating missile signal parameters and the jamming effect is influenced by the estimated parameters.
Segmentation of Lines and Words of Handwritten Devanagari Text using Connected Components with Statistics Method
Authors: More Vijay , Kharat Madan
Published: April 2022

The pre-processing activities for handwritten Devanagari text recognition includes an significant step called Segmentation. The segmentation accuracy of Devanagari text characters depends entirely on the accurately segmented lines and words in the handwritten documents. The process of segmenting lines and words correctly leads to many issues. More detailed information is lagging on the segmentation of lines and words from Devanagari text documents, whereas it is available more for other script documents in the literature. Here, we accomplished the task of segmenting the lines and words using Connected Components with Statistics Method on PHDIndic_11 dataset. Experimentation using above mentioned method resulted in line segmentation accuracy of 91.91% and word segmentation accuracy of 72.89% which outperforms over Global threshold and Otsu’s optimum threshold methods.
Acceleration of Dynamic Web Interface Generation Through Multilingual Voice Commands
Authors: Rattan Himanshu , Agarwal Shantnu , Poovammal E.
Published: April 2022

Modern web solutions require skilled efforts from professionals. This is expensive to attain and does not suit the budget and necessity of everyday people. Businesses looking to develop a website, or professional website development service providers can greatly benefit from a new approach to web development. This new approach comes in the form of voiceassisted development which allows the user of a cloud-hosted service to speak in natural language and express their needs to the system. The system follows up to enquire about necessary information and generates the desired result. The user would be able to interact in a language that they can choose themselves. Combined with the ability to enable dynamic web pages, this work aims to bring a revolution in the web development industry.
Szerkesztői előszó
Authors: Bódi Katalin , D. Tóth Judit
Published: April 2022

A test témája az utóbbi évtizedek tudományos kutatásaiban, diskurzusaiban kiemelten fontos szerepet játszik, és aligha van olyan kortárs tudomány- és művészeti ág, amelynek ne volna határozott álláspontja a testről. A művészetekben és az irodalomban az ókortól napjainkig meglévő test-témák, -interpretációk és -reprezentációk korunk antropológiai és kultúratudományos fordulatának következtében és a posztmodern diskurzusok elméleti alapjaira helyezve az egyik legizgalmasabb kérdéskörré váltak.
Architektúra és trauma
Authors: Berta Erzsébet
Published: April 2022

Sowohl Daniel Libeskind bei seinem Jüdischen Museum Berlin, als auch W. G. Sebald in seinem Austerlitz-Roman verbinden den Holocaustdiskurs mit dem aus der Sicht der Kulturwissenschaften neuverstandenen Traumadiskurs. Zwischen dem Bau, der als Holocaust Mahnmal im Museum funktioniert und dem Roman, der die Lebensgeschichte eines traumatisierten Holocaust-Überlebenden erzählt, trifft man aber auf einen näheren und stärkeren Bezug, wenn man sie auf ihr Raumkonzept hin untersucht. Von zentraler Bedeutung für ihr Zusammentreffen ist das Konzept, dass einem das Trauma erst der Architekturraum bewusst machen kann. Architektur funktioniert ja sowohl in ihrer gebauten als auch erzählten Form als eine „Erinnerungsmaschine”, die die verlorenen oder verdeckten Fährten der Vergangenheit, ihre Leidensspuren als Abgründe der Gegenwart und der Normalität aufdecken kann. Die räumliche Dimension des Traumas blieb bislang in den kulturwissenschaftlichen Trauma- und Holocaustforschungen unterbelichtet. Die vorliegende Studie ist ein Versuch an dieserFragenstellung zu arbeiten.
Szerkesztői előszó
Authors: D. Rácz István
Published: April 2022

E folyóiratszám előzménye az a konferencia, amelyet a Debreceni Akadémiai Bizottság Irodalomtudományi Munkabizottsága és a Debreceni Egyetem Egyetemi és Nemzeti Könyvtára szervezett 2014 novemberében, Csataképek, életképek, emlékképek címmel. A rendezvény az első világháború kitörésének centenáriuma alkalmából fórumot teremtett arra, hogy irodalom- és művészettörténészek, valamint a kultúratudomány szakemberei együttesen vegyék számba a „nagy háború” megjelenítését az utóbbi évszázad műveiben, valamint a mindennapok kultúrájában. Ez utóbbival foglalkozó cikkek más (néprajzi profilú) kiadványban kapnak helyet; ezzel az összeállítással irodalmi és művészeti alkotások, illetve folyamatok elemzését veheti kézbe az olvasó.
Zpráva z konference Dokumentace, konzervace a restaurování hudebních nástrojů
Authors: Kotašová Daniela , Žůrková Tereza
Published: April 2022

The conference of the Methodological Center for Documentation, Conservation and Restoration of Musical Instruments presented specific approaches and methods of care for musical instruments in museum collections. Great attention was paid to restoration ethics or terminology in the documentation of musical instruments. At the end of the program, specific examples of restoration practice were presented as part of an excursion to the restoration workshops of the Czech Museum of Music.
Schwere Zeiten für Datenschützer
Authors: Schmuck Detlef
Published: April 2022

Die digitale Transformation läuft in beinahe allen Unternehmen unter Hochdruck. Die Pandemie hat die Geschwindigkeit der Digitalisierung weiter beschleunigt, vom wochen- oder gar monatelangen Homeoffice bis zu ständigen Videokonferenzen. Viele dieser Arbeitsweisen werden über die Pandemie hinausgehend erhalten bleiben. Doch Vorsicht: Datenschutz und Datensicherheit werden häufig zu wenig Beachtung geschenkt. Die Datenschutzbeauftragten und IT-Verantwortlichen sind gefordert, Rechtskonformität zu schaffen. Das ist nicht so einfach, weil ein Großteil der verwendeten Programme, von Microsoft Office bis zu Zoom, von US-amerikanischen Anbietern stammt. Umso wichtiger ist es, strikt darauf zu achten, dass die Software zur Datenhaltung von deutschen Anbietern kommt und zumindest personenbezogene Datenbestände lückenlos im Einklang mit der DSGVO gespeichert und verwaltet werden. Denn nachdem der Europäische Gerichtshof das transatlantische Datenschutzabkommen EU-US Privacy Shield im vorletzten Jahr für ungültig erklärt hat, ist die Übertragung personenbezogener Daten in die USA strengstens untersagt.
PENGARUH ENTREPRENEURIAL LEADERSHIP DAN GOOD GOVERNANCE TERHADAP KINERJA UMKM KOMUNITAS IBU PROFESIONAL BATAM DENGAN AKSESIBILITAS PEMBIAYAAN SEBAGAI VARIABEL MODERATING
Authors: Aniza Novia , Satriawan Bambang
Published: April 2022

In the era of globalization today, all countries need to develop all sectors that exist in the country, including Indonesia. One of the efforts made by the government was given a chance and also developed the MSMEs at the same time empowering it. The purpose of this study was to see the influence of entrepreneurial leadership and good governance on the performance by placing financing accessibility as moderating variable. The type of research used is quantitative research with descriptive and associative approaches. The sampling technique used non probability sampling with purposive sampling method. The sample of this research is 55 MSMEs in Ibu Profesional Community of Batam. The type of data used is primary data with data collection techniques using a questionnaire. The data analysis techniques used are: Descriptive statistic analysis, data quality test, classical assumption test and hypothesis testing using multiple linear regression analysis and Moderated Regression Analysis (MRA) with an interaction test approach. The results of this study indicate that: Entrepreneurial leadership has a significant effect on performance with a P-Values of 0,041 < 0,05. Good governance has a significant effect on performance with a P-Values of 0,003 < 0,05. Financing accessibility has a significant effect on performance with a P-Values of 0,037 < 0,05. Financing accessibility moderates the relationship between entrepreneurial leadership and performance with a P-Value of 0,001 < 0,05. Financing accessibility moderates the relationship between good governance and performance with a P-Value of 0,010 < 0,05.
Pemanfaatan Data Klorofil-A dari Citra Penginderaan Jauh untuk Mendukung Operasi Keamanan Laut (Studi Kasus Perairan Laut Sulawesi)
Authors: Sitepu Mula Putra , Hartuti Maryani , Wiryawan Ainun Pujo
Published: April 2022

Perairan Laut Sulawesi yang berada di barat Samudera Pasifik mengakibatkan maraknya IUU-Fishing, baik yang dilakukan oleh kapal ikan lokal maupun kapal ikan asing. Laut Sulawesi di barat dibatasi oleh Kepulauan Sulu, Laut Sulu, dan Pulau Mindanao, Filipina, di utara, di timur oleh rantai Kepulauan Sangihe, di selatan oleh Sulawesi, dan di barat oleh Kalimantan Indonesia. Tujuan dari penelitian ini adalah mengetahui karakteristik sebaran klorofil-a di perairan Laut Sulawesi periode Januari 2016 – Desember 2020, dan mengidentifikasi potensi tindak pidana IUU-Fishing berdasarkan pola sebaran klorofil-a di perairan Laut Sulawesi periode Januari 2016 – Desember 2020. Penelitian ini menerapkan metode time series analysis menggunakan data klorofil-a, selama 5 tahun yang dimulai dari Januari tahun 2016 - Desember 2020. Untuk memperoleh kesimpulan yang sesuai dengan perumusan masalah, penulis menggunakan metode kuantitatif yang memenuhi kaidah ilmiah berupa angka-angka dan menganalisanya menggunakan statistik. Studi juga menggunakan metode perata-rataan secara spasial terhadap bulanan, musiman dan tahunan untuk melakukan analisis spasial dan temporal. Hasil penelitian yang dilakukan diperoleh bahwa pada awal bulan dan akhir bulan di setiap tahunnya terlihat kenaikan sebaran klorofil-a. Sehingga meningkatkan efektivitas operasi keamanan laut dan mencegah terjadinya Illegal Unreported and Unregulated Fishing di perairan Laut Sulawesi. Dengan demikian TNI AL lebih mudah dalam rangka penjagaan, pengawasan, pencegahan dan penindakan terhadap pelanggaran hukum di perairan Laut Sulawesi.
HEALPix Alchemy: Fast All-Sky Geometry and Image Arithmetic in a Relational Database for Multimessenger Astronomy Brokers
Authors: Singer Leo P. , Parazin B. , Coughlin Michael W. , Bloom Joshua S. , Crellin-Quick Arien , Goldstein Daniel A. , van der Walt Stéfan
Published: April 2022

Efficient searches for electromagnetic counterparts to gravitational wave, high-energy neutrino, and gamma-ray burst events demand rapid processing of image arithmetic and geometry set operations in a database to cross-match galaxy catalogs, observation footprints, and all-sky images. Here we introduce HEALPix Alchemy, an open-source, pure Python implementation of a set of methods that enables rapid all-sky geometry calculations. HEALPix Alchemy is built upon HEALPix, a spatial indexing strategy that is widely used in astronomical databases as well as the native format of LIGO-Virgo-KAGRA gravitational-wave sky localization maps. Our approach leverages new multirange types built into the PostgreSQL 14 database engine. This enables fast all-sky queries against probabilistic multimessenger event localizations and telescope survey footprints. Questions such as “What are the galaxies contained within the 90% credible region of an event?” and “What is the rank-ordered list of the fields within an observing footprint with the highest probability of containing the event?” can be performed in less than a few seconds on commodity hardware using off-the-shelf cloud-managed database implementations without server-side database extensions. Common queries scale roughly linearly with the number of telescope pointings. As the number of fields grows into the hundreds or thousands, HEALPix Alchemy is orders of magnitude faster than other implementations. HEALPix Alchemy is now used as the spatial geometry engine within SkyPortal, which forms the basis of the Zwicky Transient Facility transient marshal, called Fritz.
WASP-35 and HAT-P-30/WASP-51: Reanalysis using TESS and Ground-based Transit Photometry
Authors: Bai Lu , Gu Shenghong , Wang Xiaobin , Sun Leilei , Kwok Chi-Tai , Hui Ho-Keung
Published: April 2022

High-precision transit observations provide excellent opportunities for characterizing the physical properties of exoplanetary systems. These physical properties supply many pieces of information for unvealing the internal structure, external atmosphere, and dynamical history of the planets. We present revised properties of the transiting systems WASP-35 and HAT-P-30/WASP-51 through analyzing newly available TESS photometry and ground-based observations obtained at the 1 m telescope of the Yunnan Observatories as well as from the literature. The improved system parameters are consistent with previous results. Furthermore, we find that the transits of HAT-P-30b/WASP-51b show possible timing variation that cannot be explained by a decaying orbit due to tidal dissipation and the Rømer effect, while both apsidal precession and an additional perturbing body could reproduce this signal according to our comprehensive dynamical simulations. Because both systems are valuable targets that are suitable for transmission spectroscopy, we make some predictions for the atmospheric properties of WASP-35b and HAT-P-30b/WASP-51b based on the newly derived system parameters.