bluuebunny/crossref_metadata_2025 huggingface dataset:
Novel Emotion Recognition System Using Edge Computing Platform with Deep Convolutional Networks
Authors: Huang Jr-Jen , Yang Cheng-Ying , Lin Yi-Nan , Shen Victor R.L. , Lin Chia-Tsai , Shen Frank H.C.
Published: May 2023

Human faces have been naturally viewed as a central part in each image. One interesting task is to classify each face into different categories based on the emotion shown in the facial expression. In addition, an awareness of emotion during work on a project and how affective states are presented in the communication style might help system developers work more effectively, thus improving the performance of a collaborative team. Currently, the feasibility and portability of emotion recognition in the platform with Raspberry PI are insufficient. Hereby, a novel emotion recognition system in real time using the edge computing platform with deep learning has been implemented successfully. The feature values of objects are calculated by a high computing processor on the embedded platform. When an object with the matching features is detected, it is drawn as a rectangular bounding box and the results are displayed on the screen. In the proposed system, it first annotates the image datasets and saves them in the corresponding input data format for model training. Thus, the You Only Look Once (YOLOv5) model has been employed for training because it is a state-of-the-art object detection system. In other words, a fast and accurate emotion recognition is the main benefits of choosing YOLOv5 model. Then, the correctly trained YOLOv5 model file is loaded into an edge computing platform; and the feature values of objects are analyzed by a high computing processor. Finally, the experimental results show that the promising mean Average Precision (mAP), 92.6%, and recognition speed in Frames Per Second (FPS), 40, are obtained, which outperforms other existing systems.
A novel intelligent 12-layer convolutional neural network model for gender classification using fingerprint images
Authors: Arivalagan Divya , Bhoopathy Began K. , Ewins Pon Pushpa S. , Rajendran Kiruthiga
Published: May 2023

Fingerprints are widely used as effective personal authentication systems, because they constitute unique, robust, and risk-free evidence. Fingerprinting techniques refer to biometric procedures used for identifying individuals based on their physical characteristics. A fingerprint image contains ridges and valleys forming a directionally-oriented pattern. The robustness of the fingerprint authentication technique determines the quality of the fingerprint image. This study proposed an intelligent 12-layered Convolutional Neural Network (CNN) model using Deep learning (DL) for gender determination based on fingerprints. Further, the study compared the performance of this model to existing state-of-the-art methods. The primary goal of this study was to reduce the number of comparisons within a large database obtained from automatic fingerprint recognition systems. The classification process was found to be swifter and more accurate when analysis of the DL algorithm was performed. With reference to the criteria of precision, recall, and accuracy evaluation during classification, this proposed 12-layered CNN model outperformed the Residual Neural Network with 50 Layers (ResNet-50) and Dense Convolutional Network with 201 Layers (DenseNet-201) models. The accuracies obtained were 97.0%, 95.8%, 98.0%, and 96.8% for female-left, female-right, male-left, and male-right classes respectively, while achieving an overall accuracy of 94.0%.
Decision-making and optimization model for fire emergency replacements in colleges based on BWM and VIKOR under interval 2-tuple linguistic
Authors: Hu Nanyan , Li Xuexue , Li Yufei , Ye Yicheng , Wu Menglong
Published: May 2023

In order to address the issues of emergency decision-making and optimization (EDMO) of fire accidents in colleges, this paper proposes the EDMO way to take into account the synergies among divergent divisions replacements and the psychology of decision makers (DMs) on the basis of the best-worst method (BWM) and VIKOR within an interval 2-tuple linguistic (ITL) surroundings and cumulative prospect theory (CPT). First, DMs use the ITL to evaluate the degree of synergy among replacements from divergent divisions, the language information can be processed accurately and the information loss can be avoided. Then, the multi-alternative amalgamations consisted of divergent divisions replacements are built. On the grounds of the DMs’ value assignment, the collaborative decision matrix of multi-alternative amalgamations can be gained. And the optimal weight of the evaluation standards can be computed based on the ITL-BWM method. The CPT is extended into VIKOR to think about the effect of the DMs’ psychological behavior on the decision result. Furthermore, the positive and negative utility matrices can be computed through the value function of CPT. On the grounds of the positive and negative utility matrices, the distance from the utility value of multi-alternative amalgamations to the desired right solution of positive and negative utility can be obtained, and the cumulative foreground value function is used to replace the distance among each replacement to the positive and negative right desired solutions, it can avoid ignoring the effect of the correlations among different attributes on the outcome. Furthermore, the model is applied to the example and an analysis of the sensitivity of the factors of the decision-making mechanism coefficient and the weights of synergistic indicators is carried out to prove the validity and stability of the model.
MDEEPFIC: Food item classification with calorie calculation using modified dragonfly deep learning network
Authors: Josephin Shermila P. , Ahilan A. , Jasmine Gnana Malar A. , Jothin R.
Published: May 2023

Foods are very essential for living beings for providing energy, development and preserve their existence. It plays a vital role in promoting health and preventing illness. Nowadays, many people are suffered from obesity, they tend to maintain their body weight by consuming a sufficient number of calories in their routine life. In this research, a novel Modified Deep Learning-based Food Item Classification (MDEEPFIC) approach has been proposed to categorize the different food items from the dataset with their calorie values. Initially, the images are processed using the sigmoid stretching method to enhance the image quality and remove the noises. Consequently, the pre-processed images are segmented using Improved Watershed Segmentation (IWS2) algorithm. Recurrent Neural Network (RNN) is used to extract features like shape, size, textures, and color. The extracted features are then normalized using the modified dragonfly technique for same food calorie calculation. Bidirectional Long Short-Term Memory (Bi-LSTM) is utilized to classify food products based on these pertinent aspects. Finally, using food area volume and calorie and nutrition measures based on mass value, the calorie value of the categorized food item is calculated. The efficiency of the proposed method was calculated in terms of specificity, precision, accuracy, and recall F-measure. The proposed method improves the overall accuracy of 4.99%, 8.72%, and 10.4% better than existing Deep Convolution Neural Network (DCNN), Faster Recurrent convolution neural network (FRCNN), Local Variation Segmentation based Support Vector Machine (LSV-SVM) method respectively.
An ensemble model for efficiency evaluation of enterprise performance based on evidential reasoning approach
Authors: Yang Long-Hao , Ye Fei-Fei , Wang Ying-Ming , Huang Yan , Hu Haibo
Published: May 2023

Performance evaluation is one of the most important standards to measure the competitiveness and productivity of enterprises. Although existing studies could obtain the specific values of enterprises performance based on historical data, they usually failed to effectively evaluate enterprises performance in the consideration of different indicators. Meanwhile, as the characteristics of existing performance evaluation models are uneven, how to choose a reasonable data envelopment analysis (DEA) model for enterprises performance evaluation must be considered. Therefore, a new ensemble model on the basis of homogeneous, heterogeneous, and hybrid efficiency evaluation together with the evidential reasoning (ER) approach is proposed in this study for enterprises performance evaluation, so called the ER-based ensemble model. The ER-based ensemble model can overcome the inconsistency results caused by the application of different indicators and different DEA models. In case study, 40 state-own holding enterprises in China are selected and all these enterprises are evaluated and ranked using the integrated efficiency obtained from the ER-based ensemble model. Comparative analysis demonstrates that the ER-based model is better than some traditional efficiency evaluation models in enterprises performance evaluation and performance ranking.
A decomposition and ensemble model based on GWO and Differential Evolution algorithm for PM2.5 concentration forecasting
Authors: Zhou Jiaqi , Wu Tingming , Yu Xiaobing , Wang Xuming
Published: May 2023

Accurate and reliable prediction of PM2.5 concentrations is the basis for appropriate warning measures, and a single prediction model is often ineffective. In this paper, we propose a novel decomposition-and-ensemble model to predict the concentration of PM2.5. The model utilizes Ensemble Empirical Mode Decomposition (EEMD) to decompose PM2.5 series, Support Vector Regression (SVR) to predict each Intrinsic Mode Function (IMF), and a hybrid algorithm based on Differential Evolution (DE) and Grey Wolf Optimizer (GWO) to optimize SVR parameters. The proposed prediction model EEMD-SVR-DEGWO is employed to forecast the concentration of PM2.5 in Guangzhou, Wuhan, and Chongqing of China. Compared with six prediction models, the proposed EEMD-SVR-DEGWO is a reliable predictor and has achieved competitive results.
University blended English teaching based on big data analytics
Authors: Qin Ying
Published: May 2023

English language teaching varies with the universities and faculties for improving student knowledge through adaptability. In improving the adaptability features, multiple practices are blended based on previous outcomes. The outcomes are considered through the accumulated big data for leveraging student performance. This article introduces a Blended Model using Big Data Analytics (BM-BDA) to provide an upgraded teaching environment for different students. This study applied learning analytics and educational big data methods for the early prediction of students’ final academic performance in a blended model for English teaching. The model aims at rectifying the performance inaccuracies observed in the previous sessions through the pursued teaching methods. Furthermore, the identification is pursued using teaching model classification and its results over students’ performance. The classification is pursued using conventional classifier learning based on different inaccuracies. The inaccuracy in teaching efficiency using the implied model is classified for different types of students for step-by-step model tuning. The tuning is performed by inheriting the successful implications from the other methods. This improves the inclusion and blending of the diverse method to a required level for teaching efficiency. The successful blending method is discarded from the classification process post the outcome verification. This requires intense data analysis using diverse student performance and implied teaching methods.
Brain tumor diagnosis using CT scan and MRI images based on a deep learning method based on VGG
Authors: Xu Li , Bai Jinniu
Published: May 2023

Brain cancer is one of the most deadly forms of cancer today, and its timely and accurate diagnosis can significantly impact the patient’s quality of life. A computerized tomography scan (CT) and magnetic resonance imaging (MRI) of the brain is required to diagnose this condition. In the past, several methods have been proposed as a means of diagnosing brain tumors through the use of medical images. However, due to the similarity between tumor tissue and other brain tissues, these methods have not proven to be accurate. A novel method for diagnosing brain tumors using MRI and CT scan images is presented in this paper. An architecture based on deep learning is used to extract the distinguishing characteristics of brain tissue from tumors. The use of fusion images allows for more accurate detection of tumor types. In comparison with other approaches, the proposed method has demonstrated superior results.
Computer-aided diagnosis using white shark optimizer with attention-based deep learning for breast cancer classification
Authors: Chandana Mani R.K. , Kamalakannan J.
Published: May 2023

Breast cancer (BC) is categorized as the most widespread cancer among women throughout the world. The earlier analysis of BC assists to increase the survival rate of the disease. BC diagnosis on histopathology images (HIS) is a tedious process that includes recognizing cancerous regions within the microscopic image of breast tissue. There are various methods to discovering BC on HSI, namely deep learning (DL) based methods, classical image processing techniques, and machine learning (ML) based methods. The major problems in BC diagnosis on HSI are the larger size of images and the high degree of variability in the appearance of tumorous regions. With this motivation, this study develops a computer-aided diagnosis using a white shark optimizer with attention-based deep learning for the breast cancer classification (WSO-ABDLBCC) model. The presented WSO-ABDLBCC technique performs accurate classification the breast cancer using DL techniques. In the WSO-ABDLBCC technique, the Guided filtering (GF) based noise removal is applied to improve the image quality. Next, the Faster SqueezeNet model with WSO-based hyperparameter tuning performs the feature vector generation process. Finally, the classification of histopathological images takes place using attention-based bidirectional long short-term memory (ABiLSTM). A detailed experimental validation of the WSO-ABDLBCC occurs utilizing the benchmark Breakhis database. The proposed model achieved an accuracy of 95.2%. The experimental outcomes portrayed that the WSO-ABDLBCC technique accomplishes improved performance compared to other existing models.
Vaccination is preventing development of placental pathologies in SARS-CoV-2 infected pregnant patients
Authors: Ozer E. , Cagliyan E. , Cagaptay S.
Published: May 2023

INTRODUCTION: The coronavirus disease (COVID-19) has created a serious health problem in pregnant people. We aimed to address whether vaccination can prevent development of placental disease in SARS-CoV-2 infected mothers. METHODS: We reported the pathology findings obtained from routine histopathological examination of placentas of overall 38 cases. RESULTS: We found low prevalence of placental pathology in vaccinated pregnant people with active SARS-CoV-2 infection in comparison to those unvaccinated cases. CONCLUSION: Based on our findings, SARS-CoV-2 vaccination can prevent development of placental pathological lesions and may lower the risk of serious illness in pregnant people.
Factors that Influence Placement of Gastrostomy Tube in Infants with Complex Congenital Heart Disease: A Single Center Study
Authors: Sundararajan S. , Abi Habib P. , Tadbiri H. , Aycan F. , Mangione M. , Chaves A.H. , Seger L. , Turan O. , Turan S.
Published: May 2023

BACKGROUND: Factors that determine the need for Gastrostomy tube (G-tube) placement in infants with complex congenital heart defects (CHD) are variable. We aim to identify factors that improve counseling of expectant parents regarding postnatal outcomes and management. METHODS: We performed a retrospective review of medical record of infants with prenatal diagnoses of complex CHD between 2015-2019 in a single tertiary care center and assessed risk factors for G-tube placement with linear regression. RESULTS: Of the 105 eligible infants with complex CHD, 44 infants required G-tube (42%). No significant association was observed between G-tube placement and chromosomal abnormalities, cardiopulmonary bypass time or type of CHD. Median days on noninvasive ventilation (4 [IQR 2-12] vs. 3 [IQR 1-8], p = 0.035), time at which gavage-tube feeds were started postoperatively (3 [IQR 2-8] vs. 2 [IQR 0-4], p = 0.0013), time to reach full-volume gavage-tube feeds (6 [IQR 3-14] vs. 5 [IQR 0-8], p = 0.038) and intensive care unit (ICU) length of stay (LOS) (41 [IQR: 21 – 90] vs. 18 [IQR: 7 – 23], p < 0.01) were associated with G-tube placement. Infants with ICU LOS duration longer than median had almost 7 times the odds of requiring a G-tube (OR: 7.23, 95% CI: 2.71-19.32; by regression). CONCLUSIONS: Delay in initiation and in reaching full-volume gavage-tube feeds after cardiac surgery, increased number of days spent on non-invasive ventilation and in the ICU were found to be significant predictors for G-tube placement. The type of CHD and the need for cardiac surgery were not significant predictors for G-tube placement.
Comparison of Beractant Administration by Thin Catheter vs Intubation-Surfactant-Extubation (INSURE) in Preterm Infants Less than 34 Weeks Gestational Age with Respiratory Distress Syndrome – A Single Centre Experience
Authors: Patra S. , Manerkar S. , Kaur S. , Kalathingal T. , Kalamdani P. , Bhisikar S. , Mondkar J.
Published: May 2023

BACKGROUND: Poractant administration with thin catheter is gradually gaining popularity compared to the INSURE technique. However, there is little evidence to use thin catheters for administration of beractant. With this background, we compared the effect of beractant administration with INSURE vs thin catheter in preterm infants less than 34 weeks with RDS on death/chronic lung disease (CLD). METHODS: This prospective cohort study was conducted in a tertiary NICU where inborn preterm infants≤34 weeks with RDS receiving beractant by INSURE or thin catheter were studied over two epochs- Epoch1– INSURE (Jan 2020–Oct 2020) & Epoch 2– Surfactant through thin catheter (Nov 2020–July 2021).The primary outcome was occurrence of death/CLD. Procedure related complications like transient bradycardia/desaturation, pneumothorax, failure of procedure, rates of other outcomes like failure of CPAP within 72hr, duration of invasive mechanical ventilation/ CPAP support, oxygen supplementation, other major neonatal morbidities & mortality were evaluated as secondary outcomes. RESULTS: The combined outcome of death/CLD was significantly lower in the thin catheter epoch (RR 0.56, 95% CI 0.34-0.90, p = 0.012). When analyzed independently for death/CLD, we found significantly lower number of deaths in the thin catheter epoch (RR 0.44, 95% CI 0.23-0.83, p = 0.008). Number of infants who failed CPAP within 72 hrs of life was lower in thin catheter epoch (RR 0.59, 95% CI 0.41-0.85, p = 0.003). Transient bradycardia/desaturation was higher during thin catheter technique (RR 4.17, 95% CI 2.22-7.69, p < 0.001). Incidence of severe IVH was lower with thin catheter technique (RR 0.13, 95% CI 0.02-0.98, p = 0.034). CONCLUSION: Beractant administration by thin catheter reduces combined outcome of death/CLD.
Reuse of the FoodOn ontology in a knowledge base of food composition data
Authors: Thornton Katherine , Seals-Nutt Kenneth , Matsuzaki Mika , Dooley Damion
Published: May 2023

We describe our work to integrate the FoodOn ontology with our knowledge base of food composition data, WikiFCD. WikiFCD is knowledge base of structured data related to food composition and food items. With a goal to reuse FoodOn identifiers for food items, we imported a subset of the FoodOn ontology into the WikiFCD knowledge base. We aligned the import via a shared use of NCBI taxon identifiers for the taxon names of the plants from which the food items are derived. Reusing FoodOn benefits WikiFCD by allowing us to leverage the food item groupings that FoodOn contains. This integration also has potential future benefits for the FoodOn community due to the fact that WikiFCD provides food composition data at the food item level, and that WikiFCD is mapped to Wikidata and contains a SPARQL endpoint that supports federated queries. Federated queries across WikiFCD and Wikidata allow us to ask questions about food items that benefit from the cross-domain information of Wikidata, greatly increasing the breadth of possible data combinations.
Circulating tumor DNA (ctDNA) as a biomarker for lung cancer: Early detection, monitoring and therapy prediction
Authors: Duffy Michael J.
Published: May 2023

Circulating tumor DNA (ctDNA), i.e., DNA shed from tumor cells into the bloodstream, is emerging as one of the most useful plasma biomarkers in patients with multiple types of cancer, including patients with non-small cell lung cancer (NSCLC). Indeed, NSCLC was the first malignancy in which measurement of ctDNA was approved for clinical use, i.e., mutational testing of EGFR for predicting response to EGFR tyrosine kinase inhibitors in patients with advanced disease. Although historically the gold standard method for EGFR mutational analysis required tumor tissue, the use of ctDNA is more convenient and safer for patients, results in a faster turn-around-time for return of results, provides a more complete representation of genetic alteration in heterogeneous tumors and is less costly to perform. Emerging uses of ctDNA in patients with lung or suspected lung cancer include screening for early disease, surveillance following initial treatment and monitoring response to therapy in metastatic disease. For evaluating therapy response, ctDNA appears to be especially useful in patients receiving targeted therapies against driver oncogenes or immunotherapy. Further work should not only validate these emerging findings but also aim to optimize and standardize ctDNA assays.
Dark Energy as an intrinsic property of Matter
Authors: Bowen Richard
Published: May 2023

Starting from the proviso that general relativity is the valid theory of gravitation, we invoke a novel line of thought that assigns to matter the intrinsic property of permanent space emission. With this property, dark energy is seen as a property of matter. According to these thoughts, we set up a matter model and derive its equation of state. Both matter and volume expansion remain tightly linked through the energy-momentum conservation law and the key-assumption of strict proportionality of the respective energy densities in time, associated with a two-component fluid model. In essence, the so-introduced 'Space Production Model' (SPM) posits that both 'matter' and 'dark energy' are two manifestations of the same entity. One realization of SPM leads to a fluid analogy of a scalar field matter model that is minimally coupled to gravity, and that resides in permanent virial equilibrium. This latter property of SPM implies a constant ratio of \(1/3\) of matter energy and \(2/3\) of dark energy in agreement with current observations. We discuss the resulting expansion and acceleration laws that occur within homogeneous cosmology, as well as some consequences for inhomogeneous cosmology. While SPM leads to expansion in the homogeneous case, it also allows for contraction in the inhomogeneous case. In both cases SPM implies a stationary state that may arise after a relaxation period of inflation. While not discussed here, the proposal that matter and space are, in the SPM sense, contingent one upon the other could have implications beyond cosmology.
Why Engineering Education is Losing Charm among Students in India? A Discussion
Authors: Singh Seema
Published: May 2023

After a significant expansion in the number of engineering institutions and intake capacity in India for almost a quarter century, i.e., between 1991-2014, a deceleration has been experienced. At a time when technical intensity has increased, even for non-technical sector, and the primacy is to achieve Sustainable Development Goals by 2030 for which technology needs to play a central role, deceleration in enrolment may not be a good sign. In this background, the paper discusses probable reasons like existing high unemployment among engineers, high cost of private engineering education, and inability of institutions to impart employability skills which fade away their chances to get employed in future too, for this falling enrolment. Moreover, medical education has experienced expansion in the recent past. Generally, software, and IT firms impart their own training after recruiting fresh graduates so they tend to recruit engineers of any branch or even science graduates, where the cost of getting a degree is lower than engineering. Use of emerging technologies in business has made the engineering labour market quite dynamic and is changing the old paradigm of workplace, working hours, static employable skills, etc.
An Analysis of the Continuum Hypothesis
Authors: Powell Andrew
Published: May 2023

This paper analyses the Continuum Hypothesis, that the cardinality of a set of real numbers is either finite, countably infinite or the same as the cardinality of the set of all real numbers. It argues that the Continuum Hypothesis makes sense as a very strong choice principle, which is maximally efficient as a principle for deciding whether a real number is in a set of real numbers, in the sense that it is uniform in deciding membership for every real number in a countable number of steps. The approach taken is to analyze the intended meaning of the Continuum Hypothesis rather than to analyze models of set theory in which the Continuum Hypothesis is true or false and to use those models to support or reject the Continuum Hypothesis.
محاولات هيئة إشراف اللّغة في ترقية مهارة الكلام طالبات الفصل الأول بمعهد دار السلام كونتور للبنات الحرم الثالث للتربية الإسلامية الحديثة عام 2020-2021
Authors: Putri Jannah Ulga Aulia , Yasin Agus , Syifa’urrohmah Astuti
Published: May 2023

Darussalam Gontor Islamic Boarding School is one of the educational institutions in Indonesia that uses Arabic in daily activity. This institute chooses speaking skills as the first skill to be learned. It cannot be denied that the ability to speak is one of the most important aspects of language activities for children and adults. The linguistic competence of the new students is the main of the research is related to the speaking ability of the first grade students. Researchers found that language advisors have a special role in improving their linguistic skills through various approaches to develop them, especially in speaking skills. Therefore, the researchers specialized in their research on language counseling staff in their efforts to improve the speaking skills of first-grade students because the language advisory staff contributed quite a lot in language activities in this lodge. Therefore, the researcher wanted to know the efforts of the language advisory staff in improving the speaking skills of first-grade students at the Darussalam Gontor Islamic Boarding School of Third Campus Female at 2020-2021. Researchers used a qualitative approach with a qualitative descriptive study approach, data collection sources used were observation, interviews, and written documents. The data analysis method that the researcher uses is based on the Miles and Huberman method, namely data reduction, data presentation and analysis, then deduction. From the data analysis, it can be concluded that the program made by the language advisory staff include extracurricular activities such as muhadatsah sobahiyah, mahkamatu-l-lughoh, muhawarah sobahiyyah, idofah masa'iyyah, islah lughoh, musyahadah jama'iyyah, drama contests, and Princess and Queen of Language. This activity is a must be annual activity in this boarding school. These activities use a special approach and different methods, including direct methods, auditory and oral methods, and others. The language advisory staff acts as the main person in charge of all language activities at this lodge in and enforcing the language rules in this lodge.
Pengamanan Transkrip Mahasiswa Menggunakan Kriptografi Playfair Cipher
Authors: Faadhil Ali Muhammad , Mulyana Dadang Iskandar , Nawangsah Ghofurur , Saptan Lerry Salasi
Published: May 2023

Jika kita mengkirim pesan ke orang lain, tentu pesan yang dimaksud penting dan kita berusaha untuk menjangkau orang yang tepat secepat mungkin. Pesan yang dikirim tentunya menjadi salah satu hal yang paling penting untuk disampaikan. Untuk memastikan bahwa pesan aman sampai orang yang tepat menerimanya, itu harus dirahasiakan dan tidak dicurigai oleh orang lain. Kombinasi penulisan cipher dengan cipher dapat lebih meningkatkan keamanan pesan, dan teknik cipher yang digunakan dalam penelitian ini adalah playfair cipher. Karena merupakan salah satu cipher sustitusi yaitu setiap huruf pada plainteks diganti dengan huruf dari keyoard. Jumlah karakter dalam kata sandi akan selalu genap. Kata sandi Playfair hanya dapat digunakan untuk  enkripsi dan dekripsi data dalam teks alfaet karakter non-alfanumerik dapat dihindari dengan menuliskannya seagai teks alfaet. Enkripsi dan dekripsi data menggunakan kominasi dua huruf sehingga akan menyulitkan kriptanalis yang menggunakan  analisis frekuensi  untuk memecahkan sandi Playfair. Keyoard hanya digunakan sekali karena  kemungkinan keyoard telah diool oleh pihak yang tidak erwenang.
Rancang Bangun Soul Tracking Mobile Junction (STMJ) Sebagai Alat Pemantau Koordinat Penjelajah di Alam Berbasis Internet Of Things
Authors: Azhar Nur Wahid , Ramadhani Andhika
Published: May 2023

Mendaki gunung adalah suatu kegiatan yang berorientasi di alam terbuka dan mendaki ke tempat yang lebih tinggi merupakan tujuan utama aktifitas olahraga tersebut. Tercatat pendaki di Gunung Kerinci pada tahun 2016 sampai 2018 berjumlah rata – rata 1144 pendaki dengan 53 kasus kecelakaan. Dengan semakin meningkatnya jumlah pendaki gunung yang ada di Indonesia, perlu dibuatnya suatu sistem yang dapat memonitori lokasi dan kondisi pendaki, guna menimalisir angka kecelakaan pendaki di Alam. Dalam penelitian ini, penulis merancang suatu alat dan sistem berbasis Radio Frequency dan Internet of Things (IoT). Alat ini menggunakan ESP-32 sebagai microcontrolller, GPS U-Blox Neo M7N sebagai module GPS, mlx90614 sebagai sensor suhu tubuh, Module LoRa SX1276 sebagai media transmisi antar alat dan Cloud Firestore sebagai media penyimpanan data antara alat dan aplikasi. Soul Tracking Mobile Junction (STMJ) merupakan teknologi yang dapat memonitori lokasi dan suhu tubuh pendaki secara realtime menggunkan aplikasi Android yang dapat memudahkan pihak keamanan dalam memantau para pendaki.
Rancang Bangun BSM Untuk Pemantauan dan Penyiraman Otomatis Pertanian Berbasis Internet of Things
Authors: Jaenul Ariep , Wilyanti Sinka , Gene Wahyu Gamma
Published: May 2023

Perkebunan atau pertanian adalah sebuah kegiatan mengelola sumber daya alam yang memiliki nilai ekonomi dikarenakan menghasilkan sebuah bahan pangan yang dapat di konsumsi atau dimanfaatkan sebagai bahan produksi. Dikarenakan masih banyak petani yang menggunakan teknologi konvensional. Hal ini sangat berpengaruh terhadap hasil yang didapatkan seperti kualitas yang di hasilkan dan kuantitas dari segi berat tanaman atau sayuran dan juga dalam segi ketahanan terhadap hama dan lain sebagainya. Dengan itu penulis merancang sebuah sistem yang dapat membantu para petani dalam hal efisiensi untuk mengendalikan dan memantau kondisi tanah dan kadar air di perkebunan sehingga petani bisa mendapatkan hasil yang maksimal dengan efisiensi yang cukup tinggi. Sistem kebun pintar yang dirancang menggunakan jaringan IoT(Internet of Things) akan memudahkan petani dalam mengelola pertanian dan perkebunan mereka dengan menggunakan sebuah Mobile Apps sehingga para petani bisa memantau kondisi tanah dan mengendalikan pompa penyiraman secara otomatis tanpa harus menggunakan banyak tenaga dan dapat dilakukan dimana saja selama perangkat tersebut terhubung dengan jaringan Internet.
Challenges Faced by English Tutors in Teaching EYL through Online
Authors: Kamilah Nahdhiyatun , Elfiyanto Sonny
Published: May 2023

The government urged people to study and work from home at the beginning of March 2020 due to Covid-19 spreading in Indonesia; however, online learning has become very popular today. It is proven by many English courses in Pare provide online classes. One program that people are interested in is English for Kids. The previous study found that online teaching to English Young Learners (EYL) is not that easy; therefore, it has not been found a study to explore the challenges English tutors face in teaching online to EYL. The participants of this study were seventy-five tutors who teach EYL encountered online English courses in Pare. The researchers employed a descriptive quantitative approach. The data was collected through a questionnaire that consisted of 21 items and three open-ended questions. The data were analyzed by using the Likert scale. The findings of this research show that electricity failure and poor internet connectivity become crucial challenges. The students that are assisted by their parents also make tutors seem challenged in teaching EYL. Irregularly, the students feel bored in learning English through online. Although some tutors never join any workshop on Teaching English for Young Learners, they are good at giving guidance to teach young learners.
A környezetvédelem és a teremtésvédelem mint találkozási pont a katolikus egyház és az Európai Unió kapcsolatában
Authors: Ujházi Lóránd
Published: May 2023

A katolikus teológiának mindig is részét alkotta a teremtett világra való reflexió. A védelem szempontjai azonban viszonylag későn váltak az egyház társadalmi tanításának szerves részévé. A katolikus egyház a modern gazdaság, ipar és a katonai erő által okozott károkra akart teológiai alapú választ adni. Környezetszennyezés miatt Ferenc pápa önálló enciklikát adott ki. A Laudato si’ kezdetű enciklika az első olyan egyházi dokumentum, amely kifejezetten a teremtésvédelemmel foglalkozik, úgy hogy az egyes állami és nemzetközi közpolitikákat is figyelembe veszi. Ferenc pápa folytatja a II. Vatikáni Zsinat pátbeszédre épülő politikáját. A közjó és az emberiség java miatt, minden állammal és nemzetközi szervezettel párbeszédet igyekszik kialakítani. Ebben a tanulmányban kifejezetten a Szentszék és az Európai Unió környezetvédelmi szempontjait hasonlítjuk össze. Igyekszünk a közös pontokat éppúgy bemutatni, mint a filozófiai különbözőségeket és az eltérő megoldási javaslatokat.
A távmunkára vonatkozó hazai munkajogi szabályozás a jogharmonizáció tükrében
Authors: Riczu Zsófia
Published: May 2023

Az Európai Unióhoz való csatlakozásunk 20. évfordulójához közeledünk. A csatlakozás feltétele volt hazánk az Európai Unió jogrendszeréhez való jogharmonizációjának megvalósítása. A jogharmonizáció kötelezettségeinek teljesítése elengedhetetlen ahhoz, hogy a mechanizmus sikeres legyen, megvalósulhasson az a monitoringrendszer, amely az adaptációt ellenőrzi egy adott tagállam vonatkozásában. Jelen tanulmányban azt vizsgálom, hogy hazánk szempontjából mennyire váltotta be a munkajogi jogharmonizáció a hozzá fűzött reményeket. Ebben a kontextusban kiemelt figyelmet fordítok a távmunkaszabályok esetleges módosulásának, a Távmunka Keretmegállapodás vizsgálatának.
Az európai bűnügyi együttműködés nemzetközi vonatkozásban
Authors: Forstner Róbert
Published: May 2023

A bűncselekmények üldözése minden állam számára rendkívül meghatározó feladat. Ma azonban már nem lehet a bűnüldözésről csak egy adott állam vonatkozásában beszélni, hiszen a modern technológia fejlődése, a szervezett bűnözési formák előtérbe kerülése és a kábítószer-kereskedelem nemzetközivé válása következtében a határokon átnyúló bűnözés is széles körűvé vált. Az európai bűnügyi együttműködés célja nemcsak a tagállamok közötti büntetőügyekben folytatott igazságügyi együttműködés biztosítása, és a határokon átnyúló azonban a Közösség határait át nem lépő bűnözés felszámolása, hanem az olyan államokkal való együttműködés is, amelyek, habár nem tagjai az Európai Uniónak, mégis érintettek egy vagy akár több olyan bűncselekményben, amelynek átvitt értelemben a Közösség is sértettje. Az Eurojustnak van jelentős szerepe tehát abban, hogy a Közösség biztonságosabb legyen. A fent említett problémák kiküszöbölése végett az Eurojust egy nemzetközi hálózatot hozott létre, amelynek nem uniós államok is a tagjai, és amelyek így a Közösséggel együttműködnek, az Ügynökséghez delegált ügyészeiken keresztül. Természetesen a Közösség más szervek vonatkozásában is törekszik a büntetőügyekben való széles körű együttműködésre, ilyen a rendőri együttműködés szerve az Europol, amelynek szerepe az információgyűjtésre, valamint olyan szakértelem kidolgozására helyezi a hangsúlyt, amely még hatékonyabbá teszi a bűncselekmények üldözését. Mindezek mellett az EU igyekszik nemzetközi megállapodásokkal is biztosítani a határokon átnyúló bűnözéssel szembeni fellépést. Tanulmányomban arra kívánok rávilágítani, hogy az Európai Unió miként működik együtt a bűnüldözés tekintetében olyan államokkal, amelyek nem tagjai a Közösségnek. Továbbá, hogy ezen együttműködés milyen módszerekkel szolgálja az egyes bűncselekmények felderítését.
Principles for Reorganization of the Seventh-day Adventist Administrative Structure, 1888-1903 Implications for an International Church
Authors:   , Oliver Barry ,   Andrews University
Published: May 2023

This study investigates the process of reorganization of the administrative structures of the Seventh-day Adventist Church between 1888 and 1903. From the findings of the investigation are drawn some implications which relate to the need for contemporary denominational structures that accommodate and facilitate the mission of the church. The first three chapters present a documentary account of the process of reorganization. Chapter one places the study within the context of the nineteenth-century American Protestant missionary movement. Chapters two and three tell the story of reorganization on the basis of denominational archival materials. Chapters four and five analyze theological foundations and principles of reorganization which have been induced from the historical data. Chapter six applies the findings of the research to the contemporary Seventh-day Adventist Church with special emphasis on implications which are relevant to its international composition. The principal findings of the study reveal that it was a powerful missionary motivation that guided the reorganization of Seventh-day Adventist administrative structures between 1888 and 1903. That commitment to mission and concern for the accomplishment of the evangelistic task gave a strong impulse toward a functional conception of the church. It is suggested that this functional dimension of ecclesiology has continuing validity as the church seeks to remain responsive in both form and function to the changing circumstances of its life and mission. It is also suggested that the structures of the church should remain flexible, adapted to the needs of an international constituency, insofar as (1) they were reorganized in order to accommodate and facilitate the missionary endeavor of the denomination, and (2) the structures themselves were not closely bound to a formally defined ecclesiology which would confine them within a particular ecclesiastical framework. The principal implications which arise from the findings are: (1) The primacy of mission as the organizing principle which calls forth structures appropriate for the Seventh-day Adventist message and mission, (2) the need for an undergirding ecclesiological basis for structural forms which relate to a Seventh-day Adventist theology of mission, and (3) the need for flexibility and adaptability of administrative structures.
Correlations Between Old Aramaic Inscriptions and the Aramaic Section of Daniel
Authors:   , Stefanovic Zdravko ,   Andrews University
Published: May 2023

Problem. In scholarly debates on the origin of DA, the corpus of OA texts has not received full attention. Thus, there is a lack of comparative studies between DA and OA. This type of study serves a twofold purpose: It contributes to providing an answer to the questions of origin of DA, and it provides fresh insights into both OA and DA. Method. This study of OA texts has been organized into seven sections which pertain to the literary and linguistic character of every one of the inscriptions: Description, Nature, Structure, Vocabulary, Orthography and Phonology, Morphology, and Syntax. The discussion of each of these sections has brought its corresponding subject into contact with the text of DA. Eight OA inscriptions dating from the ninth to the seventh centuries B.C. have been studied. To this six other inscriptions have been added since they come from a period of transition from OA into OfA. Results. The text of DA in its present form contains a significant amount of material similar to OA texts. Literary evidence presented in this study on structure and vocabulary, as well as grammar (especially orthography) and syntax, points to the presence of early material in DA. This contextual study of OA texts contributes to the present discussions on DA in that it presents the answers to certain objections raised regarding the traditional dating of DA. The study has produced a number of parallels which provide a better understanding of the literary, historical, and cultural situations of both dialects. Three factors have to be accounted for in any conclusion on DA: geography, chronology, and the literary character of the text. The desideratum of this study is that the search for early dated features in DA should be pursued more intensively in the future.
A Study of the Attitudes of the Adventist Church Members in Taiwan Toward the Support of Seventh-day Adventist Christian Education
Authors:   , Cho Paul ,   Andrews University
Published: May 2023

Problem. The Seventh-day Adventist denomination has developed a school system to serve theindividual needs of its members and general needs of the church. From 1972 to 1986, the educational work of the Adventist church in Taiwan has declined steadily. This study was to investigate the attitudes of church members toward the support of Adventist education on relation to demographic and personal variables. Method. The Adventist Christian Education Attitude Scale measured (1) demographic characteristics; (2) 59 attitude statements, arranged in five scales, identified by factor analysis; and (3) the 13 reasons why church members did not attend or send their youth to Adventistschools. Questionnaires were mailed to 495 church members, 457 of whom responded. The 18 null hypothesis were tested by the t-test for independent means and one-way analysis ofvariance, each hypothesis was tested at an alpha level of.05. Results. This study revealed the following: (1) Of the five identified areas of church members' attitude toward Adventist education, the Christ-centered education and character building of children and youth was ranked highest; the curriculum offering and teacher qualifications lowest. (2) There was a significant difference in attitudes toward the support of Adventist education inrelation to 17 demographic and personal characteristics. (3) The first five reasons why church members do not attend or do not send their youth to Adventist schools were: (a) the schools are not officially recognized by the Taiwan government; (b) opportunity to find a job after graduation is limited; (c) the cost for Adventist education is too burdensome; (d) the curriculum offering is limited; and (e) teachers are inadequately qualified. Conclusions. The major conclusions were: (1) Ministers and teachers had a more favorable attitude than members in other occupations toward the support of Adventist education. (2) Parents who were members of the Adventist church had a more positive attitude toward Adventist education than those parents who had other religious affiliations. (3) Church memberswho had attended an Adventist school for a longer period of time reported a higher degree of support for Adventist schools than those who had attended an Adventist school for a shorter period of time. (4) Church members who had attended an Adventist college had a more negative attitude toward the Adventist education than those who had not.
Premarital Preparation : An Educational Content Design for Seventh-day Adventists in the United States
Authors:   , Ferris Roger ,   Andrews University
Published: May 2023

Problem. The church participates in the marriage process by providing its facilities, performing the ceremony, and establishing marriage supportive norms. Increasing divorce rates produce calls for premarital preparationefforts by the church. It was the purpose of the present study to develop a validated educational content design for Seventh-day Adventists useful to the church in preparing couples for marriage. Method. An analysis of the relevant literature from religious and secular authorities was made to isolate factors deemed important to adequate premarital preparation. These factors were then rank-ordered. A random sample of seven hundred presently married Seventh-day Adventists from the northwestern, midwestern, and southeastern United States was obtained. Using the content factors obtained from the literature, a Premarriage Education Survey was developed using a seven-point Likert Scale. The responses by category were rank-ordered and compared with the factors obtained from the literature using the Spearman rank order correlation coefficient. The survey respondents provided a number of demographic variables that were compared with their survey responses using an analysis of variance to determine if factors varied significantly by age, geographical area, marital status, or by participating in the Seveth-day Adventist Church. Results. No denomination-wide premarital preparation programs were identified. Seventh-day Adventists in thesample did differ in the rankings of topics and factors from that of taxonomy developed from the literature and experts analyzed using Spearman Rho coefficients at the .05 level, often inversely. The analysis of variance comparing mean factor scores with demographic varibles showed few significant differences in response patterns within the sample. An educational content design was produced based on the Adventist-validated taxonomy of factors.