bluuebunny/crossref_metadata_2025 huggingface dataset:
Grigore Vieru and the Romanian Sixties Literary Generation of Poets
Authors:   University of Bucharest, Romania, Cristea-Enache Daniel
Published: December 2022

There is an identity function of poetry, of literature, that shapes the symbolic consistency of a collective spirit, a map of emblematic landmarks of a national community. Goga and Cotruș are representative for Transylvania, Vieru and Păunescu are emblematic for Moldavians, whereas Eminescu is emblematic for the Romanians of all the historic provinces. For those living in Basarabia, Vieru represents a prophet of their Nation, an apostle of the Romanian Nation standing against the historic oppression, in the form of the Russian camps. To the elitists and relativists from Romania, Vieru is regarded as a representative of the traditionalist literary currents, frozen into an obsolete aesthetic manner and a heroic dimension out of phase. The article portrays Vieru’s relations with the Romanian 60’s generation of poets and their lyrical formulas assumed by Modernism.
The Temptation of the Exotic: Projections of the Orient in Romanian Travel Prose from the Pashoptist Period
Authors:   Alecu Russo State University of Balti, Republic of Moldova, Grejdieru Angela
Published: December 2022

Passionate about travel, the writers of the Pasoptist era were also tempted to explore the Orient, a sumptuous land full of miracles. In the memorials and travel diaries of Ion Heliade Rădulescu, Dimitrie Bolintineanu, Vasile Alecsandri et. a., the colorful, picturesque and bizarre, of the places visited, the unusual atmosphere of this universe are evoked. Contemplative, the Romanian writers expose in detail the coordinates of the oriental space – a mixture of human entities, of sumptuousness, luxury and misery. All of them still experience the feeling that they have entered a real Babylon. The exotic element is highlighted in geographical, ethnographic, cultural-spiritual descriptions, etc. The journey of the writer-travelers through such lands stimulates not only the initiatory adventure, but also the act of writing.
The Ballad Cycle about Unhappy Betrothed: an Archetypal Interpretation
Authors:   Bogdan Petriceicu-Hasdeu Institute of Romanian Philology, Republic of Moldova, Butnaru Tatiana
Published: December 2022

In this article, we intend to analyze the ballad cycle Two lovers, with a wide sphere of circulation in the Bessarabian area, but at the same time, known in folklore of several Balkan peoples, especially in the south-eastern European area. On this occasion, nev types of topics are highlighted, related to the sphere of family life, where the retionships between parents and children wili be externaliyed to deepen various aspects of life in the pa triarchal community, as well as revealing relationships between lovers. The epic narrative places in the center of attention the motif of the embraced trees, which comes from an old animistic belief and is meant to express a culmination of the erotic feeling, revealed depending on the creative intuition of the anonymous genius.
The Terminologist Dimitrie Cantemir about Medicine and Man (the Three-Dimensionality of Body, Soul, Spirit)
Authors:   Bogdan Petriceicu-Hasdeu Institute of Romanian Philology, Republic of Moldova, Mincu Eugenia
Published: December 2022

The great scholar Dimitrie Cantemir, considered the founder of Romanian medical terminology, treats man from the perspective of the three-dimensionality of body, soul, spirit. In the novel Hieroglyphic History, divided into twelve parts …, we attest reminiscences of Geto-Dacian medicine. Plato mentioned that this is one of the most evolved and contains the sacred teaching of human healing. Dimitrie Cantemir explains the state of health and the pathological state within the body → soul relationship, defining the terms megalopsychia and micropsychia, which designate the presence of the “big soul” and the “small soul”, an explanation made by the author. A true psychologist, the scientist mentions the importance of emotional balance, the lack of inner conflict in maintaining health, because “life sitting and serving good account, to cure all and cure”, is “in the form of soul power”, “health and all useful soul and body”.
The Expanding of the Terms of English Origin Meaning in Different Domains
Authors:   Bogdan Petriceicu-Hasdeu Institute of Romanian Philology, Republic of Moldova, Caruntu-Caraman Livia
Published: December 2022

The essence of the evolution of a language is characterized by the creation and permanent improvement of the means of expression. However, changes in the lexicon and, in general, language development are determined by the progress of objective reality. Thus, the language must use new lexical units to constantly enrich itself and to name realities that have recently appeared in various domains of public activity (politics, economy, sports, information technologies, fashion, music, cinematography, gastronomy, cosmetology and others). In the contemporary linguistic context, the innovative changes in the Romanian language occur mainly due to interference with the English language. The influence of English on our language constitutes a topical aspect in the development of the Romanian vocabulary. The new social realities have led to an opening of the domains, this fact favoring terminological migration. In the present study we approach the phenomenon of expanding the meaning of terms of English origin in different spheres of current interest and analyze the polysemy as a result of their circulation in various specialized domains.
Failure of the hypothesis of accelerated expansion of the universe
Authors: Mahtessian A. P. , Karapetian G. S. , Hovhannisyan M. A. , Mahtessian L. A.
Published: December 2022

Our estimates of the cosmological parameters within the ΛCDM model and the model with zero cosmological constant are very different from other studies. The purpose of this report is to draw attention to the difference between our approach and the approaches of other authors and to evaluate the correctness of these approaches.
DETERMINATION OF RESIDUES OF AMITRAZ AND FLUVALINATE IN HONEY SAMPLES COLLECTED FROM ÇUKUROVA DISTRICT
Authors: BİLGİLİ Ali , SELÇUKOĞLU Erdal
Published: December 2022

In this study, it was aimed to investigate whether amitraz and fluvalinate residues were present in the honey samples in Çukurova district and whether they would pose a risk for human health. Total 135 honey samples were used with 15 extracted flower honey samples from each of Adana center, Kadirli, Kozan, Osmaniye, Ceyhan, Karataş, Yumurtalık, Tarsus and Mersin centre. The honey samples represented 1550 beehives from Adana centre, 980 from Kadirli, 1050 from Kozan, 650 from Osmaniye, 750 from Ceyhan, 860 from Karataş, 740 from Yumurtalık, 800 from Mersin center, and 950 from Tarsus. Total beehives that the honey samples were taken were 8330. Honey samples were analyzed according to Hammerling method using gas chromatograhy with capillary column. In the result of analyses, although fluvalinate residues were not found in the honey samples, amitraz residues were found ranging from 1.34 to 33.48 ppm in 25 honey samples. The honeys from Çukurova district were contaminated with amitraz residues at which levels they would pose a risk to public health. It has been concluded that in the stage of production and consuming of honeys, precautions are required to be taken against pesticide residues up to the levels not to pose a risk for consumers.
Detection of Misuse or Illegal Use of Medicines: A Study Example for Tacrolimus Active Ingredient
Authors: KOÇAK Ahmet , SÜLEKLİ Hüseyin Erkin
Published: December 2022

Corruption and irregularity are situations that we may encounter in every field such as banking, insurance, security and health. Health expenditures are increasing every year all around the world. The amount of corruption and irregularity is parallel to this increase. Corruption and irregularities in the health sector both threaten human health and cause financial losses. With the help of methods for detecting corruption and irregularities, malpractices can be avoided and also financial losses can be prevented, thus contributing to the improvement of health service delivery. The aim of this study is to identify risky individuals who may be involved in drugs, which constitute an important part of health expenditures, and who may cause corruption and irregularities. Drugs with the Anatomical Therapeutic Chemical (ATC) code with the same active ingredient were examined. Anomaly detection, association analysis and rule-based data mining methods were used for the detection of corruption and irregularity. 24 physicians were identified as with high risk. Those who were found to be risky in the analysis were examined specifically and it was confirmed that all of them abused the drug with the relevant active ingredient, thus it means that the method used is 100% consistent and accurate.
Molecular interaction of Centella asiatica bioactive compounds and Donepezil on Alzheimer’s protein through in silico studies
Authors: Ali Marzouk Hagar , Wibowo Syahputra , Khotimah Husnul , Bambang Sumitro Sutiman
Published: December 2022

Alzheimer's disease is a chronic neurodegenerative illness that is one of the most persistent medical concerns with significant social and economic consequences. Current treatments, such as acetyl-cholinesterase inhibitors, only briefly alleviate cognitive decline and do not stop or reverse dementia progression. So the study aimed to illustrate the interaction between Centella asiatica bioactive compounds and Donepezil on Alzheimer’s protein through in silico analysis. The seven bioactive compound, donepezil and okadaic acid were docked with Acetyl-cholinesterase and Beta Secretase proteins, the docking analysis was performed using AutoDock Vina in PyRx 0.8 software and visualized using Discovery studio software. The results showed that the Centella asiatica bioactive compounds and drug have lower binding affinity than Okadaic acid (control ligand). While bioactive components like naringin and stigmasterol have the highest binding affinity to Acetyl-cholinesterase, (-11 kcal/mol, -10.9 kcal/mol) compared with the binding affinity score of donepezil with (-10.1 kcal/mol). While luteolin, and rutin furthermore naringin, showed the lowest binding affinity against Beta Secretase with binding affinity score (-7.6 kcal/mol), compared with the binding affinity of Donepezil with (-6.9 kcal/mol). Besides that, gallic acid, luteolin, and cathecin have (-6.4 kcal/mol, -9.9 kcal/mol, and -10.1 kcal/mol, respectively), but they can cover up 75 percent of the binding site of Okadaic acid in Acetyl-cholinesterase protein, whereas Donepezil can only cover up 25 percent of the binding site of Okadaic acid in Acetyl-cholinesterase. In conclusion, bioactive components from Centella asiatica are more stable against Alzheimer's disease than donepezil. More study is needed to evaluate the efficacy of Centella asiatica bioactive components against Alzheimer's.
Phytochemical Content and Antioxidant Property of Polyherbal Formulation, Raktavardhak Kadha
Authors: A. Sheth Payal , T. Pawar Anil , B. Choudhari Ganesh , S. More Chandrakant
Published: December 2022

Raktavardhak kadha is a polyherbal formulation available in the Indian market as a nutritional supplement for the treatment of anemia. The present study was conducted to evaluate the phytochemical content and in vitro antioxidant activity of Raktavardhak kadha. A preliminary phytochemical analysis of Raktavardhak kadha was performed to detect the presence of various classes of phytochemicals. The total phenolic and tannin contents were estimated by the Folin-Ciocalteu method. The aluminium chloride colorimetric method was used for the estimation of the total flavonoid content of Raktavardhak kadha. Antioxidant activity was analyzed by the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay method. Phytochemical analysis indicated the existence of saponins, steroids, flavonoids, tannins, and phenolic compounds in the Raktavardhak kadha. The total phenolic content of Raktavardhak kadha was found to be 86.5 mg of gallic acid equivalent per milliliter. The total tannin content of Raktavardhak kadha was found to be 73.33 mg of gallic acid equivalent per milliliter. The total flavonoid content of Raktavardhak kadha was 95.4 mg of quercetin equivalent per milliliter. In the DPPH assay, the IC50 of Raktavardhak kadha was found to be 92.53 ppm. It is concluded that the RK is rich in phytochemical content and has antioxidant properties indicating its high medicinal values. It appears that the presence of flavonoids is responsible for the beneficial effects of Raktavardhak kadha in anemic patients.
Development and Validation of stability indicating RP-HPLC method for the estimation of Ertugliflozin by forced degradation studies
Authors: Ghante M. R. , Tangade R. B. , Sawant S. D. , Kulkarni P. D. , Bhusari V. K.
Published: December 2022

Background: From the literature survey it was found that stability indicating analytical methods have not been reported for evaluation of Ertugliflozin in drug substance (bulk or API) and on drug product. Objective: Developing and validating stability indicating RP-HPLC analytical method for the estimation of Ertugliflozin. Method: Current study develops a novel analytical method for separating drug from the degradation products that is formed under stress conditionsby utilizing methanol: water as mobile phase in the composition of 90:10 v/v using HiQ Sil C-18 (150×4.6)mm, 5.0µm column usingUV detection at 260 nm and flow rate of 0.7 mL/min. Results: Retention time for Ertugliflozin was observed to be 4.1 min. Ertugliflozin was exposed to stress conditions of hydrolysis (acid and alkali degradation), oxidation, photolysis and neutral decomposition. The developed method was validated taking into reference ICH guidelines. Conclusion: This method can be used routinely in pharmaceutical industries to analyse drugs in pharmaceutical dosage forms.
Influence of Essential Oils on the Formation of Streptococcus mutans Biofilms
Authors: Atazhanova G.А. , Badekova K.Zh. , Ivasenko S.А. , Kacergius Т. , Levaya Ya.К. , Kurmantaeva G.К. , Ishmuratova M.Yu. , Smagulov М.K.
Published: December 2022

The accumulation of biofilm by Streptococcus mutans bacteria on dental hard tissues leads to dental caries which remains one of the most common oral diseases. Therefore, the development of new antibacterial agents is critical. The aim of the study was to analyze the component composition of essential oils for 4 species of common Kazakh plants (Hyssopus ambiguus (Trautv.) Iljin., Nepeta cataria L., Origanum vulgare L., Ziziphora clinopodioides Lam) and study their effect on the formation of biofilms of Streptococcus mutans. After hydrodistillation, the chemical composition of essential oils was analyzed using gas chromatography in conjunction with mass spectrometry. The amount of biofilm formed by the bacteria Streptococcus mutans was assessed using the colorimetric method and optical profilometry. Results. Using GC-MS analysis, the chemical composition of 4 plant species of the Lamiaceae family was established. 1.8-cineole is the main ingredient for the essential oils of Hyssopus ambiguus and Nepeta cataria, carvacrol for Origanum vulgare, pullegon for Ziziphora clinopodioides, and nepetolactone for Nepeta cataria. As a result of the experiment Origanum vulgare and Nepeta cataria essential oils demonstrated the highest suppressive effect on S. mutans biofilm formation in the medium containing 1% sucrose. Conclusion. The results of the research can be used to develop new therapeutic and prophylactic dental products.
SOSYAL ADALET LİDERLİĞİ VE OKUL İKLİMİ ARASINDAKİ İLİŞKİ
Authors: DOĞAN Halil , YILDIRIM Nail
Published: December 2022

Bu araştırma okul müdürlerinin sosyal adalet liderliği davranışları ile okul iklimi arasındaki ilişkiyi belirlemek amacıyla gerçekleştirilmiştir. Nicel araştırma yöntemlerinden ilişkisel tarama modelinde desenlenen araştırmanın evrenini, 2020-2021 eğitim öğretim yılında Gaziantep ili merkez ilçelerinde devlete ait anaokulu, ilkokul, ortaokul ve lise kademelerinde görev yapan 20.937 öğretmenden oluşmakta iken örneklemini ise seçkisiz örnekleme yöntemlerinden tabakalı örnekleme yöntemi kullanılarak evrenden seçilen 776 öğretmen oluşturmaktadır. Araştırmada kullanılan veriler Bozkurt (2017) tarafından geliştirilen “Sosyal Adalet Liderliği Ölçeği (SALÖ)”, Canlı, Demirtaş ve Özer (2018) tarafından geliştirilen “Okul İklimi Ölçeği” ve “Kişisel Bilgi Formu” aracılığı ile katılımcılardan toplanmıştır. Verilerin analizi için SPSS 24.0 paket programı kullanılmıştır. Okul müdürlerinin sosyal adalet liderliği davranışları ile okul iklimi arasındaki ilişkinin belirlenmesinde “Pearson Korelasyon”; sosyal adalet liderliği davranışının okul iklimi üzerindeki etkisinin belirlemek amacıyla “Regresyon” analizleri yapılmıştır. Araştırma sonucuna göre sosyal adalet liderliği davranışı ile okul iklimi arasında “pozitif yönlü yüksek düzeyde” anlamlı bir ilişkinin olduğu belirlenmiş; uygulayıcılara ve araştırmacılara yönelik önerilere yer verilmiştir.
Neurological manifestations of tuberous sclerosis are more common in patients with earlier stages than in the end stage of the chronic kidney disease: Multicentric study from South-Eastern Europe countries
Authors: Prelevic Vladimir , Juric Ivana , Bilic Hrvoje , Radunovic Danilo , Zabic Igor , Gledovic Branka , Antunovic Tanja , Basic-Jukic Nikolina
Published: December 2022

Background

Tuberous sclerosis is a rare, genetic disease with the various clinical presentations with most frequent clinical presentation which includes epileptic seizures and cognitive disorders. The main cause of mortality in those group of patients is renal impairment., and in some cases, neurological and renal clinical manifestation can be followed, but can also be the main therapeutic aim of mTOR inhibitors. Here, we aimed to correlate neurological symptoms with different stages of chronic kidney disease.

Methods

This multicentric retrospective study included 51 patients from clinical centres from seven South-Eastern Europe countries We included patients older then 18 years with possible or definitive diagnosis of TSC. Data were collected from nephrological and neurological registries form clinical centres.

Results

Study enrolled 51 patients with a median age of 32.3 years and predominant female gender. Neurological symptoms represented with epiletic sizures were more common in patients in earlier stages of CKD (nonESRD patients) then in patients in the end-stage renal disease.

Conclusion

Results of this study have shown that neurological manifestation in analyzed cohort correlate with renal lesions in early stage of chronic kidney disease.
Improving Academic Performance in Geometry Using a Mastery Learning Approach through GeoGebra
Authors: Khansila Paweena , Yonwilad Wannatida , Nongharnpituk Prapaporn , Thienyutthakul Suwannawat
Published: December 2022

The objectives of these quasi-experimental methods were to improve academic performance in geometry using a mastery learning approach through GeoGebra for mathematics teacher students and to investigate students’ satisfaction with using a mastery learning approach through GeoGebra in geometry. The participants were divided into two groups, involving 30 and 29 students, respectively. The experimental group with 30 students received instruction in the mastery learning approach through GeoGebra, while the control group received a traditional education in learning geometry. At the end of the lessons, post-tests were administered to both groups. The statistical difference between the participant’s post-test academic performance in the experimental and control groups was analyzed with an independent sample t-test after examining the assumptions of this test, namely normality and homogeneity in each group, while percentages and means were used to assess the satisfaction of the experimental group. The instruments used were the Geometry Achievement Test (GAT), which consists of 2D and 3D dimensions, and a questionnaire with satisfied students. Results of the study indicated that the scores of academic performances in the experimental group were significantly higher than those of the control group. Analysis of the questionnaire responses indicated a positive overall satisfaction with using a mastery learning approach through GeoGebra in geometry. On the other hand, instruction with a mastery learning approach through GeoGebra supported students’ learning of these subjects meaningfully and conceptually.
Total Exploration of Mandibular Nerve to Resolve Facial Asymmetry
Authors: KAYNAK Besime Ahu
Published: December 2022

Depending on the affected craniofacial structures, facial asymmetry can be divided into skeletal, dental and functional asymetry. Some asymmetrical disorders can, besides being an aesthetic problem, negatively affect mouth-teeth and jaw functions. For the exact localization of the asymmetrical structures and to determine the cause and extent of the asymmetry, it is helpful to use other diagnostic aids such as study models, face bow transfer and various imaging procedures. The Nervus Alveolaris Inferior is of great importance for physicians, especially when performing operations in the posterior region of the lower jaw in orthodontic jaw surgery. For the exact localization of the asymmetrical structures and to determine the cause and extent of the asymmetry, it is helpful to use other diagnostic aids such as study models, face bow transfer and various imaging procedures.
Beamforming Design for OFDM Joint Sensing and Communication System
Authors: Minggan Ye Minggan Ye , Minggan Ye Wei Hu , Wei Hu Yifeng Zhao , Yifeng Zhao Lianfen Huang , Lianfen Huang Zhiyuan Shi
Published: December 2022

In this paper, we discussed the beamforming schemes for OFDM-based joint sensing and communication (OFDM-JSC) system, which enable JSC system to use directional beams to detect directions of interest, while communicating with one or more downlink users, thus further enhancing the practicability of JSC system. Specifically, we equip OFDM-JSC transmitter with hybrid beamforming structure and digital beamforming structure in SU-MIMO and MU-MISO scenarios, respectively. For SU-MIMO JSC, we separately considered the hybrid beamforming design with partially connected structure and fully connected structure. For MU-MISO JSC, we separately consider the beamforming design with total antenna array transmit power constraint, and per antenna transmit power constraint. For the four non-convex problems in above two scenarios, we have designed corresponding low-complexity JSC beamforming algorithms and we verified the effectiveness of proposed schemes through numerical simulation.

 
Efficient CP-ABE Scheme Resistant to Key Leakage for Secure Cloud-Fog Computing
Authors: Fengwei Cheng Fengwei Cheng , Fengwei Cheng Sai Ji , Sai Ji Chin-Feng Lai
Published: December 2022

With the evolution of the Internet, people’s lives are growing increasingly intelligent, and massive amounts of data are also generated. The combination of cloud computing and fog computing can store and process it efficiently. However, a new and urgent challenge has emerged about how to ensure that data in cloud and fog nodes are accessed securely. In order to address this issue, we propose an efficient anti-key leakage CP-ABE (EAL-CP-ABE) scheme based on cloud-fog computing. In our scheme, we achieve the identity tracing of the authorized user who leaked the private key by means of white-box tracing and the maximum number of user accesses. Meanwhile, we design a reward and punishment mechanism which rewards those with a good reputation and revokes authorized users who have exceeded the access limit or sold private keys to further reduce the possibility of key leakage. Due to limited local resources, we use fog nodes to achieve outsourced decryption of ciphertext. In addition, the detailed security analysis is provided to prove that the EAL-CP-ABE scheme is IND-CPA secure and traceable based on the hardness assumptions. Finally, we demonstrate that the EAL-CP-ABE scheme is efficient through the performance analysis.

 
Multi-source Heterogeneous Data Fusion Model Based on FC-SAE
Authors: Hong Zhang Hong Zhang , Hong Zhang Kun Jiang , Kun Jiang Chuanqi Cheng , Chuanqi Cheng Jie Cao , Jie Cao Wenyue Zhang
Published: December 2022

Multi-source heterogeneous data has different degrees of data correlation or data conflict. How to fuse this data and fully mine its inherent meanings to obtain more accurate decision information is a problem that needs to be solved urgently. This paper proposes a multi-source heterogeneous data fusion model based on fully connected layers and sparse autoencoders (short for FC-SAE) to solve the above problem. This model can effectively improve the time series forecasting performance compared with the traditional time series forecasting model. The MAE value is reduced by 4.4% and the RMSE value is reduced by 3.7%. In terms of fusion strategy, the method that uses the sparse autoencoder as the fusion strategy reduces the MAE value by 1.7% and the RMSE value by 2.3% compared with the method that uses the fully connected layer as the fusion strategy.

 
Efficient Fuzzy C-means Based Reduced Feature Set Association Rule Mining Approach for Predicting the User Behavioral Pattern in Web Usage Mining
Authors: J. Serin J. Serin , J. Serin J. SatheeshKumar , J. SatheeshKumar T. Amudha
Published: December 2022

Online business and marketing are becoming popular now a day due to the wide variety of products available from multiple vendors in online. One of the major challenges of e-business merchants is predicting the buying and selling patterns of online customers. Global level competition is another challenge faced by online merchants due to the lowest prices and offers provided by multiple sellers for the same or similar product. Hence, the development of an efficient web mining framework to analyze and predict buyer’s interest based on the browsing history will be a great support to the online sellers by providing exact or relevant product details to the buyers in online. Association rule mining plays an essential role in Web Mining for finding the most frequent and predictive patterns of the user. The major challenge in this approach is the generation of many rules for a huge volume of datasets. Decision making based on association rule mining is critical because knowledge is not directly present in frequent patterns. This research work focuses on the analysis of standard web mining approaches such as k-means clustering, fuzzy c-means clustering, fuzzy k-medoids clustering and fuzzy clustering with weighted session page matrix approach. In this work, MSNBC dataset from UCI Machine Learning Repository has been taken for analysis. Dimensionality reduction plays an important role in the accurate classification of users with respect to their interests. This research work proposed fuzzy C-Means using Kernel Principal Component Analysis (k-PCA) as a dimensionality reduction method based association rule mining classification, grouping and pattern prediction with 100% “confidence” along with a “lift” value greater than 1. The “support” value also shows higher compare with other existing methods and features are effectively reduced in the proposed architecture.

 
IPAPA: Incentive Public Auditing Scheme against Procrastinating Auditor
Authors: Ying Miao Ying Miao , Ying Miao Qiong Huang , Qiong Huang Meiyan Xiao , Meiyan Xiao Willy Susilo
Published: December 2022

Cloud storage provides convenience in managing data for users. Data integrity becomes important because data owner (DO) loses control of their data once it is uploaded to the cloud server (CS). Public auditing is used to check data integrity in cloud storage. Traditional public auditing schemes introduce a third-party auditor (TPA) to help users check their data. However, TPA is assumed to be trusted in these schemes, which may not be practical. A dishonest TPA may provide a good report to DO without executing the auditing task timely. If the data loss could not be detected timely, it may cause a great loss to DO. In this paper we aim to solve these problems using blockchain technique. In our scheme DO, TPA and CS interact with blockchain via smart contracts. We utilize a time-locked deposit smart contract to incentive TPA and CS for their fulfillment in the auditing task honestly. Otherwise, they would be amerced. We use storage smart contracts to ensure the auditing process transparency, and utilize zero-knowledge proof to protect DO’s privacy. The scheme is extended to support batch auditing to reduce the user’s cost. Experimental results show that our scheme is efficient and practical.

 
Developing a Multifunctional Heating Pad Based on Fuzzy-Edge Computations and IoMT Approach
Authors: Yung-Cheng Yao Yung-Cheng Yao , Yung-Cheng Yao Hsin-Te Wu , Hsin-Te Wu Lai-Fu Shu , Lai-Fu Shu Chun-Yi Lu
Published: December 2022

Many medical assistive devices, such as rehabilitation and heating pads, have developed toward AI IoT functions during the past decade. Heating pads can be used for rehabilitation or to relieve pain while patients use them to relax muscles and enhance blood circulation; however, this assistive device is single-functional. Additionally, older adults usually lack information adaptability in using multifunctional heating pads, and the heating sensors of the pads need to have high stability and low value of temperature error to avoid unstable measurement and unexpected results. This article proposes a multifunctional heating pad system by fuzzy-edge computations, primarily setting the functions by IoT development board and Bluetooth and the temperature ranges by fuzzy edge technique; users can adjust heating modes based on their needs. Our research team designed the heating sensor in the system to achieve high stability and durability; the IoT development board can calibrate the temperature by digital voltages, which enables the sensor to achieve expected temperatures. The IoT development board and fuzzy-edge technology employed in the system can self-calibrate and maintain the temperature ranges without needing a server to calculate, reaching the goal of edge computations. The experimental result has proved the feasibility of the system.

 
Modelling of a Speech-to-Text Recognition System for Air Traffic Control and NATO Air Command
Authors: Grant Zietsman Grant Zietsman , Grant Zietsman Reza Malekian
Published: December 2022

Accent invariance in speech recognition is a chal- lenging problem especially in the are of aviation. In this paper a speech recognition system is developed to transcribe accented speech between pilots and air traffic controllers. The system allows handling of accents in continuous speech by modelling phonemes using Hidden Markov Models (HMMs) with Gaussian mixture model (GMM) probability density functions for each state. These phonemes are used to build word models of the NATO phonetic alphabet as well as the numerals 0 to 9 with transcriptions obtained from the Carnegie Mellon University (CMU) pronouncing dictionary. Mel-Frequency Cepstral Co-efficients (MFCC) with delta and delta-delta coefficients are used for the feature extraction process. Amplitude normalisation and covariance scaling is implemented to improve recognition accuracy. A word error rate (WER) of 2% for seen speakers and 22% for unseen speakers is obtained.

 
A Social Media Based Profiling Approach for Potential Churning Customers: An Example for Telecom Industry
Authors: Kuo-Hsiung Wu Kuo-Hsiung Wu , Kuo-Hsiung Wu Po-Yang Chen , Po-Yang Chen Chaochang Chiu
Published: December 2022

Customer churn prevention has been one of the most pressing concerns for telcos to tackle in the rapidly changing telecom business over the past decade, as the industry has faced increased market saturation and intense competition. Social media electronic word-of-mouth (e-WoM) offers telcos with insights into the consumer experience. Capturing preferences and views about products/services via text messaging might increase the recovery mechanism for clients who may churn. This study collects postings from social media forums concerning Taiwan’s top five telecom firms in order to perform an opinion analysis that is thought to be strongly linked with prospective churning consumers. To collect topic-sentiment information, we employ the doc-based Heuristics-N-Phrase-Rules technique. In this study, the sentiment score of negative terms is determined, and correspondence analysis is used to highlight the features and profiles of probable churn consumers. To validate its efficacy, we propose comparing the derived profile information to the telecom company’s lost consumers.

 
Integrating of Image Processing and Number Recognition in Sudoku Puzzle Cards Digitation
Authors: Pu-Sheng Tsai Pu-Sheng Tsai , Pu-Sheng Tsai Ter-Feng Wu , Ter-Feng Wu Jen-Yang Chen , Jen-Yang Chen Jen-Feng Huang
Published: December 2022

The aim of Sudoku puzzle is to fill in the blank cells in a square matrix consisting of nine 3x3 blocks with the numbers 1-9 in a way that no number appears more than once in any row, column, or block. We combined image processing, a convolutional neural network (CNN), and a Sudoku game algorithm to automatically place the numbers 1-9 in the blank cells of a Sudoku square matrix. An image of the Sudoku square matrix is first captured using a camera, and then the vertical lines, horizontal lines, and outer frame of the Sudoku square matrix are detected using Hough transform (HT). Based on the OpenCV module, we proposed an image processing algorithm that captures the numbers in the image and calculates the location coordinates of the numbers in the image. We trained the CNN using the MNIST handwritten digit dataset to recognize the numbers in the Sudoku square matrix. Finally, we used the Python programming language to design a Sudoku puzzle backtrace algorithm that automatically deduces and fills in the blank cells in the square matrix. This study provides further understanding of the critical operating principles of CNNs and lays down a foundation for future research.

 
PyRS: Cross-platform Data Fault-tolerant Storage Library Based on RS Erasure Code
Authors: Junqiang Ma Junqiang Ma , Junqiang Ma Weihao Yan , Weihao Yan Xiaotian Zhang , Xiaotian Zhang Min Huang , Min Huang Jingyang Wang
Published: December 2022

Erasure code has been used by more and more researchers to solve the problem of efficient, reliable, and fault-tolerant data storage. However, the existing libraries based on erase code can only run on the Linux platform, and some of them need GPU support. This paper implements a cross-platform data fault-tolerant storage library based on RS erasure code, PyRS, which is running on CPU without GPU support and developed in Python. PyRS uses Vandermonde matrix as the coding matrix and Numba and NumPy libraries to speed up and optimize the program. This paper compares PyRS with Jerasure on the same Linux platform. The results show that the encoding and decoding speed of PyRS is 8 times faster than that of Jerasure. The CPU usage rate of both is about 25% and the memory usage rate of PyRS is about 5% higher than that of Jerasure. The same experiments are carried out on PyRS on the Windows platform. Experimental results show that compared with running on the Linux platform, PyRS running on the Windows platform has almost the same speed of encoding and decoding, and its CPU usage rate increases by about 15%, while its memory usage rate decreases by about 5%.

 
Adiabatic Logic Based Energy Efficient Architecture of 1-Bit Magnitude Comparator for IOT Applications
Authors: Minakshi Sanadhya Minakshi Sanadhya , Minakshi Sanadhya Devendra Kumar Sharma
Published: December 2022

The Internet of Things (IoT) applies the sensors and microcontrollers and links them through the internet. The eventual objective of low-power devices for Internet of Things is to lesser the overall system power and to extend battery life. For the development of energy efficient IoT devices, novel adiabatic techniques are proposed. By improving the performance of the comparator, one can improvise the whole system performance. The efficacy of computing devices depends on the performance of arithmetic circuits, including comparator. This paper proposes 1-bit comparator design using adiabatic techniques such as DC-DB PFAL (Direct current diode-based positive feedback adiabatic logic) and MPFAL (Modify positive feedback adiabatic logic) which are well-suited with an extensive range of applications (e.g. IoT sensors and an inbuilt analog to digital converter). For performance analysis, the results are compared together along with the other adiabatic and non adiabatic designs already reported in the literature. This paper proposes a way to decrease the dissipation of power and transistor count in binary circuits as it is one of the primary concerns. From the results, it is found that the design using DC-DB PFAL logic shows an improvement in power-delay-product of 69%, 94% and 90% compared to MPFAL, PFAL and ECRL techniques respectively.

 
A Critical Analysis on Android Vulnerabilities, Malware, Anti-malware and Anti-malware Bypassing
Authors: Muath Alrammal Muath Alrammal , Muath Alrammal Munir Naveed , Munir Naveed Suzan Sallam , Suzan Sallam Georgios Tsaramirsis
Published: December 2022

Android has become the dominant operating system for portable devices, making it a valuable asset that needs protection. Though Android is very popular; it has several vulnerabilities which attackers use for malicious intents. In this paper, we present a comprehensive study on the threats in Android OS that various malware developers exploit and the different malware functionality based on Android’s threats. Furthermore, we analyze and evaluate the anti-malware approaches implemented to face the malware functionalities. Finally, we analyze and categorize malware developers’ most common anti-analysis techniques to evade anti-malware approaches. It comes to our attention that many papers covered each topic separately; however, we could not find one comprehensive study that covers Android with such details that it could be used as a research handbook on Android malware. This is the main novelty and contribution of this work.

 
Combining GCN and Transformer for Chinese Grammatical Error Detection
Authors: Jinhong Zhang Jinhong Zhang
Published: December 2022

This paper describes our system at a task: Chinese Grammatical Error Diagnosis (CGED). The task is held by the Natural Language Processing Techniques for Educational Applications (NLP-TEA) to encourage the development of automatic grammatical error diagnosis in Chinese learning since 2014. The goal of CGED is to diagnose four types of grammatical errors: word selection (S), redundant words (R), missing words (M), and disordered words (W). The automatic CGED system contains two parts including error detection and error correction and our system is designed to solve the error detection problem. Our system is built on three models: 1) a BERT-based model leveraging syntactic information; 2) a BERT-based model leveraging contextual embeddings; 3) a lexicon-based graph neural network leveraging lexical information. We also design an ensemble mechanism to improve the single model’s performance. Finally, our system achieves the highest F1 scores at detection level and identification level among all teams participating in the CGED 2020 task.

 
授課研究融入教學實習課之行動研究
Authors: 王為國 王為國
Published: December 2022

本研究運用行動研究協助研究者進行教學實習課的規劃、實施與省思，研究目的為探討授課研究融入教學實習課中的實踐情形，並瞭解授課研究融入教學實習課中職前教師的學習成效。研究參與者是國民小學職前教師36位，資料蒐集方式為訪談、觀察與文件蒐集。在資料分析之後，本研究得到的結論為：首先，授課研究透過理念介紹、微型教學與集中實習等實踐歷程，有助於教學實習課的實施。其次，職前教師在微型教學時逐漸掌握設計與實施教學，對小學生的理解仍有困難。在集中實習時可深化職前教師的教學設計與實施教學的成效，及更加理解小學生的學習。本研究的建議是引導職前教師在集中實習後再一次修訂教學設計，及進一步探討職前教師在教材教法課或教育實習階段參與授課研究的情形。

 

This study utilized action research to conduct planning, implementation, and reflection on a teaching internship. The objectives of this study were to understand the implementation of integrating a lesson study with a teaching internship course as well as pre-service teachers’ learning effectiveness. The participants were 36 elementary school pre-service teachers. Interviews, observations, and documents collection were conducted for data collection. After data analysis, the following conclusions were obtained. First, the lesson study was conducive to the practice of the teaching internship course through the processes of an introduction to ideas, microteaching and intensive internship. Second, pre-service teachers gradually mastered the design and implementation of teaching during microteaching, bur there were still difficulties in understanding elementary school students. During the intensive internship, it was possible to deepen the effectiveness of pre-service teachers’ teaching design and implementation and to better understand elementary school students’ learning. The suggestions of this research are to guide pre-service teachers to revise their teaching designs after the intensive internship. This study also advises to further explore the situation of pre-service teachers’ participation in the lesson study in regards to teaching materials, methods course, or educational practicum.

 
Community-based Risk Communication Management
Authors: Cayamanda Karen Joyce , Paunlagui Merlyne
Published: December 2022

This book project has been an opportunity to share the plight of the flood-vulnerable communities of Davao City, Philippines. Aside from being a requirement to graduate under the PhD Development Studies program, the major objective is to find ways how the academe can help in alleviating the risks of flooding as a recurring disaster in these areas. As extensive literature on disaster studies examined risk communication and disaster risk management, it has been found to be discussed as separate concerns. These studies emphasize the significant role of risk communication and management at the level of the communities to enhance community preparedness and reduce the risks triggered by disasters like flooding. However, no literature has been found specifically in the area of risk communication management. The study, therefore, aimed to focus on this gap in the literature which integrates risk communication with disaster risk management towards a more integrative approach to risk reduction. Using a convergent parallel mixed method design, the study was conducted utilizing both the qualitative and quantitative approaches in the data collection and analysis guided by the integrated frameworks of the disaster risk management and the social amplification of risk (SARF). The merging of both results in the analysis and interpretation helped identify the convergence or divergence of the findings. Results of the study revealed that the risk reduction strategies can be further enhanced through a risk communication management using a localized and participatory approach in the proper knowledge transfer of flood risk communication among the stakeholders involved, placing the community as the central actor for amplification. This book highlights the proposed community-based flood-risk communication management (CBFRCM) framework as a modification of the SARF labeled as the Flood Risk Amplification Communication Theory (FRACT) as an alternative framework. The application of the theory necessitates the enhancement of risk communication management towards the resilience of the flood-vulnerable communities, specifically in the context of Davao City, Philippines. The authors wish to share these findings and encourage that the proposed theory be used in other contexts and optimize the role of risk communication as part of the risk reduction approaches of risk managers and policy makers on disaster management.
RAFT Stratejisi Öğretiminin Özel Öğrenme Güçlüğü Olan Ortaokul Öğrencilerinin Yaratıcı Yazma Becerilerine Etkisi
Authors: DOĞMAZ TUNALI Sıla
Published: December 2022

Özel öğrenme güçlüğü olan öğrenciler yazılarında yaratıcı fikirler oluşturmakta zorlanmaktadır. Bu nedenle, özel öğrenme güçlüğü olan öğrencilerin yaratıcı yazma becerilerini geliştirebilecekleri ortamlar oluşturmak oldukça önemlidir. Bu araştırma ile özel öğrenme güçlüğü olan ortaokul öğrencilerinin yaratıcı yazma becerilerini geliştirmede RAFT stratejisi öğretiminin etkililiğinin incelenmesi amaçlanmıştır. Bu çalışma, yarı deneysel araştırma yöntemlerinden öntest-sontest tek gruplu desen üzerinden planlanmıştır. Çalışmaya ortaokul düzeyinde eğitim gören 9 öğrenci katılmıştır. Öğrenciler ile RAFT stratejisi kullanımıyla yaratıcı yazma becerilerine yönelik çalışmalar, küçük grup oturumları şeklinde yürütülmüştür. Program 3 hafta süresince haftada 3 saat olmak üzere toplam 9 saatte tamamlanmıştır. Müdahale öncesi ve sonrası öğrencilerden toplanan metinler yaratıcı yazma rubriği ile değerlendirilmiştir. Öğrencilerin metinleri akıcılık, esneklik, özgünlük, zenginleştirme, dış yapı, örgü, kelime sayısı ve cümle sayısı boyutlarında incelenmiştir. Araştırma sonuçları RAFT stratejisi öğretimi öncesi ve sonrası öğrencilerin yaratıcı yazma rubriğinden aldıkları puanlar arasında anlamlı bir farklılık olduğunu ve bu farklılığın son ölçüm lehine olduğunu göstermiştir. Öğrencilerin yazılarında en fazla gelişim gösterdiği alanlar zenginleştirme ve örgü ölçütleri iken, öğrencilerin en az gelişim gösterdiği alanlar özgünlük ve dış yapı olarak bulunmuştur.
Semestre Europeo 2022 y el Mecanismo de Recuperación y Resiliencia
Authors: Alonso Daniel , Matea María de los Llanos
Published: December 2022

Motivación. Desde 2020, a raíz de la pandemia y para adaptarse a un contexto en constante cambio, el Semestre Europeo está inmerso en un importante proceso de reestructuración. La puesta en marcha del Mecanismo de Recuperación y Resiliencia (MRR), elemento central del instrumento temporal Next Generation EU (NGEU), ha obligado a adaptarlo para evitar superposiciones y eliminar cargas administrativas innecesarias.

Ideas principales. • En el ciclo de 2022, el Semestre Europeo mantiene su objetivo principal de coordinación general de las políticas económicas y de empleo, teniendo en cuenta al mismo tiempo los requisitos de aplicación del MRR.• Una de las principales novedades de este año es la reintroducción de los informes y de las recomendaciones específicas por país. Además, se incluye una nueva orientada a reducir la dependencia de los combustibles fósiles según los objetivos del REPowerEU. • En el caso de España, las recomendaciones son las siguientes: garantizar una política fiscal prudente, continuar con la ejecución del Plan de Recuperación, Transformación y Resiliencia, aumentar las tasas de reciclado y reducir la dependencia respecto a los combustibles fósiles.
ANAIS DO II CONGRESSO NACIONAL MULTIPROFISSIONAL EM TERAPIA INTENSIVA (IICONMUTI): RESUMOS SIMPLES E EXPANDIDOS
Authors:   LITERACIA CIENTÍFICA EDITORA & CURSOS, Silva Mariana Pereira Barbosa , Machado Bruno Abilio da Silva
Published: December 2022

O II Congresso Nacional Multiprofissional em Terapia Intensiva (IICONMUTI) promovido pelo Instituto Inova (CNPJ: 34.055.613/0001-48) ocorreu entre os dias 18 e 19 de novembro de 2022, de forma online com transmissão por meio do canal do YouTube. Tratou-se de um evento multiprofissional de caráter técnico-científico que objetivou promover o conhecimento dos discentes, docentes e os profissionais da saúde a respeito de temáticas multiprofissionais voltadas para a área da terapia intensiva, possibilitando a troca de experiências e o aprendizado científico. Contou com a participação de profissionais renomados e palestras relevantes no contexto da terapia intensiva.