bluuebunny/crossref_metadata_2025_split huggingface dataset:
BİR İSLAM RÖNESANSINA DOĞRU HASAN ONAT VE İSLAM’DA YENİDEN YAPILANMA
Authors: İŞCAN Mehmet Zeki 
Published: June 2021

Hasan Onat’a göre İslam’da yeniden yapılanma, insanı merkeze alarak Tanrı, Kuran, nübüvvet ve ahiret konularını değerlendirmekle, İslam-vahiy ilişkisini, aklın hakimiyeti doğrultusunda dinamik hale getirmekle mümkün olacaktır.
Onat’a göre Kur’ân’ın yaratıcı bir şekilde anlaşılması için gerçek bir yöntem geliştirilememiştir. Bu nedenle yeniden yapılanmanın merkezinde Kur’ân’a dönüş yer almalıdır.
Onat’ta Kur’ân’a dönüş, insanın yeni bir hayat, yeni bir medeniyet yaratmasında kök değerler ve ahlaki ilkelerin tespit edilmesi anlamına gelmektedir. Kur’ân’ı anlama işi, dilsel ve teolojik olmaktan çok varoluşsal ve tarihseldir.
Onat’a göre dini yapılanmanın diğer bir unsuru dini düşünceye bilimsel zihniyetin hakim olmasıdır. Dinde eleştirel düşüncenin benimsenebilmesi, bilimin gücüne inanarak yaratıcı yeteneklerimizi etkin kılmaya bağlıdır.
İslam’ın siyasi meseleleri insana bırakmış olması, Kur’ân’ın bireyi muhatap alması, bir hukuk ya da siyaset kitabı özelliği göstermemesi, yeniden yapılanmanın temel parametrelerinden biridir. Onat’a göre din, demokrasi ve laiklik karşıtı bir renge büründürülemez. Bu noktada Onat, İslami düşünceyi, demokrasi ve laiklik kavramlarının modern konseptleri ile bağdaştırmak için reformlar önermektedir.
Measuring Patients’ Perceived Empathy of Clinical Nurses
Authors: Mohammadi Ali , Kamali Koorosh 
Published: June 2021

Background: Empathy is the perception of patients’ feelings and experiences; in other words, nurses can understand their patients’ feelings by considering themselves in their position. Empathic relationship in patient care can lead to considerable interpersonal communication and as a result, better outcomes for patient health. Thus, the purpose of this study was to assess patients’ perceived empathy of clinical nurses.
Methods: This cross-sectional study was carried out at teaching hospitals of Zanjan city in 2018 -2019. A sample including 285 inpatients of teaching hospitals in Zanjan city were selected by systematic sampling. To collect data, the Scale of Patient-Perceived Empathy from Nurses (SPPEN) was used. Descriptive statistics (Mean and frequency) and multivariate analyses were applied to describe empathy relationships with personal characteristics.
Results: The factor analysis on 15 items of SPPEN led to three factors with eigenvalue>1 that totally explained 74.5 percent of the variance. Three dimensions of nurses’ expression, patients’ feedbacks and patients’ expectations were identified as effective factors on patients’ perceived empathy. The mean score of overall SPPEN was at upper intermediate level (m=4.98). The mean score of overall SPPEN and its dimensions in young patients were higher than patients aged 45 years and over. Differences in mean scores of overall SPPEN and its dimensions (Except nurses’ expression) were statistically significant on the base of age characteristics (p<0.05). Furthermore, there were significant differences at mean scores of patients’ feedback and patients’ expectations dimensions on the base of inpatients ward variable (p<0.05). The highest mean score of patients’ feedbacks (5.34±1.05) and patients’ expectations (6.05±1.1) were related to gynecology and surgery wards, respectively.
Conclusion: The findings of the present study indicate that inpatients’ perception score of nurses’ empathy was at upper intermediate level. According to the findings, nurses’ empathy and communicative skills must be promoted by establishing training workshops for empathy development.
The Effectiveness of Integrative Behavioral Couple Therapy (IBCT) on Emotional Divorce of Couples: A Randomized Clinical Trial
Authors: Heidari Zahra , Ghamari Mohammad , Jafari Alireza , Armani Kian Alireza 
Published: June 2021

Background: Some scientists consider emotional divorce as the first step in the divorce process, which means that the marital relationship is declining. Research shows the harmful physical and psychological effects of emotional divorce on couples. The present research was carried out to show the effectiveness of Integrative Behavioral Couple Therapy (IBCT) on emotional divorce among couples.
Methods: This was a quasi-experimental design study with a control group, including a pre-test, post-test and a 45-day follow up. The statistical population of this study was all couples referred to the family therapy clinic of Shahid Beheshti Psychiatric Hospital in Zanjan in 2020. Twenty couples were selected based on a score of eight or higher in a 24-item two-choice questionnaire on emotional divorce which was developed by Guttman in 1998. Next, participants were randomly divided into two groups of experimental and control. The experimental group received 11 weekly sessions of IBCT and each intervention session lasted for 120 minutes and the control group did not receive any intervention. Repeated measures ANOVA was used and data were analyzed by SPSS software V18.
Results: The results of ANOVA showed that there was a significant difference between the control and experimental groups in the pre-test, post-test and follow-up (p<0.001). Therefore, it can be concluded that IBCT has reduced the emotional divorce of couples in the experimental group.
Conclusion: Results suggest that IBCT can be used as a treatment of choice for reduction of emotional divorce.
Associations between Dietary Acid Load and Migraine Headache Severity and Duration among Women: A Cross-Sectional Study
Authors: Askarpour Moein , Sheikhi Ali , Khorsha Faezeh , Togha Mansoureh , Mirzaei Khadijeh 
Published: June 2021

Background: Migraine is considered the most common cause of long-term disability in under-50s, which can lead to unbearable pain and neurological dysfunction. Many factors, especially dietary factors, are suggested to trigger migraine headaches. The present study aimed to examine the association between diet-dependent acid load and severity and duration of headaches among migraine patients.
Methods: In this cross-sectional study, a sample of 266 women (18-45 years) with history of migraine headaches was enrolled. Dietary data was collected by using a validated Food Frequency Questionnaire (FFQ). Then, diet-dependent acid load indices including Potential Renal Acid Load (PRAL) and Net Endogenous Acid Production (NEAP) were calculated for the participants. For all cases, anthropometric measurements and headache duration were assessed. Headache severity was determined by Visual Analog Scale (VAS) and Migraine Disability Assessment (MIDAS) questionnaires.
Results: In this study, individuals with higher PRAL (OR=1.87, 95% CI=1.19-2.96, p=0.007) and NEAP (OR=1.58, 95% CI=1.02-2.44, p=0.03) scores were 87 and 58%, respectively, more likely to have severe headaches. Moreover, our results showed a significant direct correlation between PRAL (β=0.14, 95% CI=0.56-2.94, p=0.04) and NEAP (β=0.18, 95% CI=0.45-3.34, p=0.01) scores and headache duration of participants.
Conclusion: The present study showed that higher diet-dependent acid load scores may be associated with higher headache severity and duration in migraine patients.
Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers
Authors: Mahmood Raja Azlina Raja , Abdi AmirHossien , Hussin Masnida 
Published: June 2021

Some of the main challenges in developing an effective network-based intrusion detection system (IDS) include analyzing large network traffic volumes and realizing the decision boundaries between normal and abnormal behaviors. Deploying feature selection together with efficient classifiers in the detection system can overcome these problems. Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic. Moreover, using the most relevant features to build the predictive model, reduces the complexity of the developed model, thus reducing the building classifier model time and consequently improves the detection performance. In this study, two different sets of selected features have been adopted to train four machine-learning based classifiers. The two sets of selected features are based on Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) approach respectively. These evolutionary-based algorithms are known to be effective in solving optimization problems. The classifiers used in this study are Naïve Bayes, k-Nearest Neighbor, Decision Tree and Support Vector Machine that have been trained and tested using the NSL-KDD dataset. The performance of the abovementioned classifiers using different features values was evaluated. The experimental results indicate that the detection accuracy improves by approximately 1.55% when implemented using the PSO-based selected features than that of using GA-based selected features. The Decision Tree classifier that was trained with PSO-based selected features outperformed other classifiers with accuracy, precision, recall, and f-score result of 99.38%, 99.36%, 99.32%, and 99.34% respectively. The results show that using optimal features coupling with a good classifier in a detection system able to reduce the classifier model building time, reduce the computational burden to analyze data, and consequently attain high detection rate.
A Modified Symmetric Key Fully Homomorphic Encryption Scheme Based on Read-Muller Code
Authors: Challa RatnaKumari , Gunta VijayaKumari 
Published: June 2021

Homomorphic encryption became popular and powerful cryptographic primitive for various cloud computing applications. In the recent decades several developments has been made. Few schemes based on coding theory have been proposed but none of them support unlimited operations with security. We propose a modified Reed-Muller Code based symmetric key fully homomorphic encryption to improve its security by using message expansion technique. Message expansion with prepended random fixed length string provides one-to-many mapping between message and codeword, thus one-to many mapping between plaintext and ciphertext. The proposed scheme supports both (MOD 2) additive and multiplication operations unlimitedly. We make an effort to prove the security of the scheme under indistinguishability under chosen-plaintext attack (IND-CPA) through a game-based security proof. The security proof gives a mathematical analysis and its complexity of hardness. Also, it presents security analysis against all the known attacks with respect to the message expansion and homomorphic operations.
Simulation and Modelling of Electricity Usage Control and Monitoring System using ThingSpeak
Authors: Anang Nurhazwani , Hamid Mohammad Safwan AB , Muda Wan Mariam Wan 
Published: June 2021

Renewable energy technology is growing fast especially photovoltaic (PV) system to move the conventional electricity generation and distribution towards smart grid. However, similar to monthly electricity bill, the PV energy producers can only monitor their energy PV generation once a month. Any malfuntion in PV system components may reduce the performance of the system without notice. Thus, developing a real-time monitoring system of PV production is very crucial for early detection. In addition, electricity consumption is also important to be monitored more frequently to increase energy savings awareness among consumers. Hardware based Internet-of-Thing (IoT) monitoring and control system is widely used. However, the implementation of the actual smart grid system is high in cost. Thus, simulation and modelling of the system is important to see the capability of the actual system before being employed. Since the smart grid and its components are usually modeled using MATLAB/Simulink, the communication between MATLAB/Simulink, IoT platform such as ThingSpeak and mobile application is crucial to be explored to gain a better understanding of the features of the smart grid. To achieve the objectives, there are five main steps which are simulation of grid-connected photovoltaic (PV) system to generate data to be monitored and controlled using HOMER software, then, development of monitoring on ThingSpeak and mobile application using MIT App Inventor 2. Next, the control system is developed on mobile application and the communication on how data are transferred between all the softwares are set up. The results show that all the seletected parameters can be monitored in real-time successfully. The developed mobile application can be used to control the MATLAB/Simulink in two modes. During automatic mode, ThingSpeak controls the MATLAB/Simulink by giving a zero signal (OFF) if load demand is less than the power generated by PV and a one signal (ON) if the load demand is greater than PV power. During manual mode, consumer can send ON or OFF signal to MATLAB/Simulink via the mobile application unconditionally. It is hoped that the proposed system will bring many benefits in modeling a complete smart grid system in MATLAB/Simulink.
A Scoping Study on Lightweight Cryptography Reviews in IoT
Authors: Chiadighikaobi Ikenna Rene , Katuk Nurliza 
Published: June 2021

The efforts in designing and developing lightweight cryptography (LWC) started a decade ago. Many scholarly studies in literature report the enhancement of conventional cryptographic algorithms and the development of new algorithms. This significant number of studies resulted in the rise of many review studies on LWC in IoT. Due to the vast number of review studies on LWC in IoT, it is not known what the studies cover and how extensive the review studies are. Therefore, this article aimed to bridge the gap in the review studies by conducting a systematic scoping study. It analyzed the existing review articles on LWC in IoT to discover the extensiveness of the reviews and the topics covered. The results of the study suggested that many review studies are classified as overview-types of review focusing on generic LWC. Further, the topics of the reviews mainly focused on symmetric block cryptography, while limited reviews were found on asymmetric-key and hash in LWC. The outcomes of this study revealed that the reviews in LWC in IoT are still in their premature stage and researchers are encouraged to explore by conducting review studies in the less-attended areas. An extensive review of studies that cover these two topics is deemed necessary to establish a balance of scholarly works in LWC for IoT and encourage more empirical research in the area.
Projective MDS Codes Over GF(27)‎
Authors: Abdulkareem Al-Zangana Emad Bakr 
Published: June 2021

MDS code is a linear code that achieves equality in the Singleton bound, and projective MDS (PG-MDS) is MDS code with independents property of any two columns of its generator matrix. In this paper, elementary methods for modifying a PG-MDS code of dimensions 2, 3, as extending and lengthening, in order to find new incomplete PG-MDS codes have been used over . Also, two complete PG-MDS codes over of length and 28 have been found.
Antibacterial Capability of Triclosan Treated on Filter Fiber Materials
Authors: li yanju , MIAO Qinging , WANG Xinyu , HE Jinlu 
Published: June 2021

Abstract
Antibacterial filtration material is an effectively control technique of airborne biological pollutant to purify indoor air. This study aims to assess the antibacterial capability of triclosan treated on three filter fiber materials: the glass fiber (GF), the non-woven fabric (NF) and the chemical fiber (CF). Triclosan was loaded on filtration materials by the impregnation method. E. coli, S. albus and S. aureus were used as test strains. It’s found that the filter materials loaded with triclosan showed obvious antibacterial zone: the antibacterial zones against E. coli were 11.5 mm(GF), 13.2 mm(NF) and 11.0 mm(CF) respectively; zones against S. albus were 28.0 mm(GF), 21.0 mm(NF) and 25.0 mm(CF); zones against S. aureus were 21.5 mm(GF), 14.0 mm(NF) and 11.5 mm(CF). The percent reduction of bacteria of antibacterial fiber treated with triclosan against E. coli were 78.57% (CF) and 80.00% (GF), the percent reduction of bacteria of triclosan treated fiber against S. albus were 68.59% (NF) and 82.52% (CF), respectively. This research provided an effective antibacterial filter fiber material loaded with triclosan and it aids to reduce the transmission and harm of infectious diseases and to decontaminate the indoor environment.
Prevalence and Antibiotic Resistance Mechanisms of Methicillin-Resistant Staphylococcus aureus isolates from Selected Hospitals in Ashanti Region, Ghana.
Authors: Zumbi Crystal Ngofi , Boamah Vivian Etsiapa , Boakye Yaw Duah , Odoi Hayford , Agyare Christian 
Published: June 2021

Abstract
Background: Antibiotic resistance in bacteria has long been recognized as a major health problem occurring worldwide. The emergence of methicillin-resistant Staphylococcus aureus (MRSA) remains a global health problem. MRSA is reported as one of the leading pathogens involved in increased rates of morbidity and mortality amongst patients in Ghana. This study determined the prevalence and resistance mechanisms of MRSA isolated from patients in selected hospitals in the Ashanti Region of Ghana. Antibiograms of the isolates were determined using the Kirby-Bauer disk diffusion method. Antibiotic resistance genes (mecA and mecC) were detected and efflux pump activity assessed using polymerase chain reaction (PCR) and microbroth dilution methods, respectively. Results: Out of 626 samples obtained from patients, S. aureus was identified in 68, representing 10.9%. Multidrug resistance (MDR) was observed in 46 (67.6%) of the S. aureus isolates of which 28 (60.9%) were Methicillin Resistant Staphylococcus aureus (MRSA). The MRSA isolates showed higher susceptibility to trimethoprim-sulfamethoxazole (50%) and higher resistance to oxacillin and cefoxitin (100%). mecA gene was identified in 9 (32.1%) of the MRSA isolates whereas mecC gene was absent in all the isolates. The isolates did not exhibit any multiple efflux pump activities. Conclusion: The prevalence of MDR-MRSA in S. aureus infections at healthcare facilities in the Ashanti region was found to be high. The presence of the mecA gene was identified as a possible mechanism responsible for resistance in the MRSA isolates.
Microphthalmia and Optic Nerve Hypoplasia Induced by Maternal Coronavirus Infection?
Authors: Morhart Patrick , Mardin Christian , Rauh Manfred , Jüngert Jörg , Hammersen Johanna , Kehl Sven , Schuh Wolfgang , Maier-Wohlfart Sigrun , Hermes Katharina , Neubert Antje , Schneider Michael , Hein Alexander , Woelfle Joachim , Schneider Holm 
Published: June 2021

Abstract
Possible mother-to-child transmission of severe acute respiratory syndrome-coronavirus type 2 (SARS-CoV-2) during pregnancy is still a matter of debate. We studied the impact of SARS-CoV-2 infection on 56 complete households, including 27 newborns whose mothers were pregnant when exposed to the virus. Three perinatal SARS-CoV-2 transmissions with mild symptoms in affected neonates were recorded (two cases confirmed by PCR, the third one based on clinical findings). In addition, we observed a severe eye malformation (unilateral microphthalmia, optic nerve hypoplasia, and congenital retinopathy) associated with maternal SARS-CoV-2 infection in weeks 5 and 6 of embryonic development. This embryopathy could not be explained by other infectious agents, genetic factors, or drug use during pregnancy. Eight other women with a history of SARS-CoV-2 infection prior to gestational week 12, however, delivered healthy infants.Conclusion: The repeated occurrence of mother-to-child transmission in our cohort with risks that remain incompletely understood, such as long-term effects and the possibility of an embryopathy, should sensitize researchers and stimulate further studies as well as strongly support COVID19 vaccination recommendations for pregnant women.Trial registration number: NCT04741412Date of registration: November 18, 2020
Structural basis of anti-SARS-CoV-2 activity of HCQ: specific binding to N protein to disrupt its interaction with nucleic acids and LLPS
Authors: Song Jianxing , Dang Mei 
Published: June 2021

Abstract
Great efforts have led to successfully developing the spike-based vaccines but
challenges still exist to completely terminate the SARS-CoV-2 pandemic. SARS-CoV-2 nucleocapsid (N) protein plays the essential roles in almost all key steps of the viral life cycle, thus representing a top drug target. Almost all key functions of N protein including liquid-liquid phase separation (LLPS) depend on its capacity in interacting with nucleic acids. Therefore, only the variants with their N proteins functional in binding nucleic acids might survive and spread in evolution and indeed, the residues critical for binding nucleic acids are highly conserved. Very recently, hydroxychloroquine (HCQ) was shown to prevent the transmission in a large-scale clinical study in Singapore but so far, no specific SARS-CoV-2 protein was experimentally identified to be targeted by HCQ. Here by NMR, we unambiguously decode that HCQ specifically binds NTD and CTD of SARS- CoV-2 N protein with Kd of 112.1 and 57.1 μM respectively to inhibit their interaction with nucleic acid, as well as to disrupt LLPS essential for the viral life cycle. Most importantly, HCQ-binding residues are identical in SARS-CoV-2 variants and therefore HCQ is likely effective to them all. The results not only provide a structural basis for the anti-SARS-CoV-2 activity of HCQ, but also renders HCQ to be the first known drug capable of targeting LLPS. Furthermore, the unique structure of the HCQ-CTD complex decodes a promising strategy for further design of better anti-SARS-CoV-2 drugs from HCQ. Therefore, HCQ is a promising candidate to help terminate the pandemic.
Insights into Transcriptional Regulation by Individual H3K4 Methylation Marks in S. Cerevisiae
Authors: Deshpande Neha , Jordan Rachel A , Pozzi Shelley Henderson , Bryk Mary 
Published: June 2021

Abstract
Set1 is a lysine methyltransferase in S. cerevisiae that catalyzes the mono, di and tri methylation of the fourth lysine on the amino terminal tail of histone H3 (H3K4). Set1-like methyltransferases are evolutionarily conserved, and research has linked their function to developmental gene regulation and several cancers in higher eukaryotes. Set1 is a member of the multiprotein COMPASS complex in S. cerevisiae. The H3K4 methylation activity of COMPASS regulates gene expression and chromosome segregation in vivo. The three distinct methyl marks on histone H3K4 act in discrete ways to regulate transcription. Trimethylation of H3K4 is usually associated with active transcription whereas dimethylation of H3K4 is associated with gene repression. In this study, amino acid substitution mutants of SET1 that encode partial function Set1 proteins capable of H3K4me1, H3K4me1 and H3K4me2, or H3K4me1and H3K4me3 were analyzed to learn more about the roles of individual H3K4 methyl marks in transcription. The findings reveal a previously unappreciated role for H3K4me1 in activation of transcription of the HIS3 gene in S. cerevisiae cultures grown under histidine-starvation conditions. Surprisingly, induction of the HIS3 gene in cultures grown under histidine starvation is not accompanied by significant changes in the profiles of H3K4-methylated nucleosomes at the HIS3 gene in SET1 wild-type strains and set1 partial-function mutants. The data show that H3K4me1 supports induction of HIS3 mRNA to wild-type levels under histidine-starvation conditions and that higher-order H3K4 methylation (H3K4me2 and H3K4me3) is not required.