bluuebunny/crossref_metadata_2025_split huggingface dataset:
Management Problems of Madrasah Diniah Takmiliyah Awaliyah Rejang Lebong Old Religious Units in Memorizing Al-Qur’an Juz Amma
Authors: Yanto Murni 
Published: June 2022

The problem of this research is not all students have problems memorizing the Al-Qur’an, but there is some student who thinks memorizing the is a busy thing because they have prepared lessons and assignments at school, This study used qualitative descriptive method while data collection, the authors used three techniques, namely the survey technique used to find out things related to the tahfiz learning system to get data, and the interview technique was used to find information things related to the tahfiz learning system to get data, and the interview technique was used to find information from a student who took Tahfiz Al-,Qur’an, the documentation technique used to obtain information relating to completeness in the learning activities of the Al-Qur’an tahfiz that was carried out, and the data that supported this study were students and teachers of. Based on the results of the research, it can be concluded that the problem is evidence that some students who follow Tahfiz Al-Qur’an get unsatisfactory scores. This is caused by several factors such as the factor of not being able to feel the pleasure of the Qur’an, the lazy factor, the lack of motivation, the forgetting factor, the following interaction factor, the factor of not being able to read the Qur’an, the factor of not being able to manage the time.,the factor of the lack of a guidebook for memorizing the Qur’an.
Studi Sekuensial Eksplanatori: Aktivitas Fisik dan Kebugaran Fisik Masa Pandemi Guru Pendidikan Jasmani Olahraga dan Kesehatan
Authors: Abisibah Abisibah , Rosidi Sakban , Sucipto Adi 
Published: June 2022

This study has the goal to assess physical activity, physical fitness based on the specified category criteria, and to know the physical activity relationship with physical fitness and understanding perception, advice of the teacher's hopes during the Pandemic of Covid-19. This study used a combined method (mixed method) is a blend of quantitative and qualitative research with sequential explanatory approach.The combined research method (mixed method) is the initial order of using quantitative data then clarified with the results of qualitative data, as follows: (a) the first hypothesis is known to physical activity in the teacher with a 17.00 lower than the criteria either 20.4. This means that there is a significant difference between the average by good criteria, in which the correct state is below good category criteria. (b) The second hypothesis is known to be physical fitness teachers including good categories, is 47,2045 which is higher than the criteria either, 40.8. In this case the average has a good category criteria. (c) The third hypothesis significant relationships at the level of physical activity and physical fitness level of the teachers is the correlation coefficient of 0.370, so if the physical activity is high, the physical fitness is higher as well. Kata Kunci: Studi Sukensial Eksplanatori; Aktivitas Fisik; Kebugaran Fisik
Criminal-Law Protection Due to Religion (Article 194 of the Penal Code)
Authors: Kruk Ewa 
Published: June 2022

The article analyses the problem of the offence of religious discrimination under Article 194 of the Polish Penal Code. The author presented in the first part of the article the process of formation of “crimes against freedom of conscience and religion” in the criminal codes of 1932, 1969 and 1997, then discussed the object of protection related to the offence of “religious discrimination” in the light of Article 192 of the Penal Code of 1969. From this perspective, she analysed the object of protection, offender, objective aspects and subjective aspects of the applicable Article 194 of the Polish Penal Code of 1997.
A systematic comparison of transfer learning models for COVID-19 prediction
Authors: Panthakkan Alavikunhu , Anzar S.M. , Al Mansoori Saeed , Mansoor Wathiq , Al Ahmad Hussain 
Published: June 2022

The pandemic COVID-19 is already in its third year and there is no sign of ebbing. The world continues to be in a never-ending cycle of disease outbreaks. Since the introduction of Omicron-the most mutated and transmissible of the five variants of COVID-19 – fear and instability have grown. Many papers have been written on this topic, as early detection of COVID-19 infection is crucial. Most studies have used X-rays and CT images as these are highly sensitive to detect early lung changes. However, for privacy reasons, large databases of these images are not publicly available, making it difficult to obtain very accurate AI Deep Learning models. To address this shortcoming, transfer learning (pre-trained) models are used. The current study aims to provide a thorough comparison of known AI Deep Transfer Learning models for classifying lung radiographs into COVID-19, non COVID pneumonia and normal (healthy). The VGG-19, Inception-ResNet, EfficientNet-B0, ResNet-50, Xception and Inception models were trained and tested on 3568 radiographs. The performance of the models was evaluated using accuracy, sensitivity, precision and F1 score. High detection accuracy scores of 98% and 97% were found for the VGG-19 and Inception-ResNet models, respectively.
Clinical Progression of Baseline Risk States for Mild Cognitive Impairment
Authors: Goldberg Sarah M. , Zhao Yanji , Cheng Yu , Weinstein Andrea M. , Gujral Swathi , Berman Sarah B. , Sweet Robert A. , Butters Meryl A. , Lopez Oscar L. , Snitz Beth E. 
Published: June 2022

Background: This memory-clinic study joins efforts to study earliest clinical signs and symptoms of Alzheimer’s disease and related dementias: subjective reports and objective neuropsychological test performance. Objective: The memory-clinic denoted two clinical “grey zones”: 1) subjective cognitive decline (SCD; n = 107) with normal objective test scores, and 2) isolated low test scores (ILTS; n = 74) without subjective complaints to observe risk for future decline. Methods: Initial and annual follow-up clinical research evaluations and consensus diagnosis were used to evaluate baseline characteristics and clinical progression over 2.7 years, compared to normal controls (NC; n = 117). Results: The ILTS group was on average older than the NC and SCD groups. They had a higher proportion of people identifying as belonging to a minoritized racial group. The SCD group had significantly more years of education than the ILTS group. Both ILTS and SCD groups had increased risk of progression to mild cognitive impairment. Older age, minoritized racial identity, and baseline cognitive classification were risk factors for progression. Conclusion: The two baseline risk groups look different from each other, especially with respect to demographic correlates, but both groups predict faster progression than controls, over and above demographic differences. Varied presentations of early risk are important to recognize and may advance cognitive health equity in aging.
Association Between Metformin and Alzheimer’s Disease: A Systematic Review and Meta-Analysis of Clinical Observational Studies
Authors: Luo Anling , Ning Pingping , Lu Haitao , Huang Hongyan , Shen Qiuyan , Zhang Dan , Xu Fang , Yang Li , Xu Yanming 
Published: June 2022

Background: As one of the widely used drugs for the management of type 2 diabetes mellites (T2DM), metformin is increasingly believed to delay cognitive deterioration and therapeutically for Alzheimer’s disease (AD) patients especially those with T2DM. However, studies of the potential neuroprotective effects of metformin in AD patients have reported contradictory results. Objective: This study aimed to evaluate the association between metformin and the risk of developing AD. Methods: We systematically searched the PubMed, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov databases to identify clinical observational studies on the relationship between AD risk and metformin use published before December 20, 2021. Two investigators independently screened records, extracted data, and assessed the quality of the studies. Pooled odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were calculated using random-effect models. Results: After screening a total of 1,670 records, we included 10 studies involving 229,110 participants. The meta-analysis showed no significant association between AD incidence and metformin exposure (OR 1.17, 95% CI 0.88–1.56, p = 0.291). However, subgroup analysis showed that among Asians, the risk of AD was significantly higher among metformin users than those who did not (OR 1.71, 95% CI 1.24–2.37, p = 0.001). Conclusion: The available evidence does not support the idea that metformin reduces risk of AD, and it may, in fact, increase the risk in Asians. Further well-designed randomized controlled trials are required to understand the role played by metformin and other antidiabetic drugs in the prevention of AD and other neurodegenerative diseases.
Phosphatidylethanolamine Binding Protein 1 (PEBP1) in Alzheimer’s Disease: ELISA Development and Clinical Validation
Authors: Wojdała Anna Lidia , Chiasserini Davide , Bellomo Giovanni , Paciotti Silvia , Gaetani Lorenzo , Paoletti Federico Paolini , Parnetti Lucilla 
Published: June 2022

Background: Phosphatidylethanolamine binding protein 1 (PEBP1) is a multifunctional protein, mainly known for its specific binding of phosphatidylethanolamine and the ability to suppress the Raf1-MAPK pathway. Its potential role as an Alzheimer’s disease (AD) biomarker has been proposed in several studies. However, evaluation of its discriminative value in clinical cohorts is missing. Objective: We aimed to develop a new immunoassay for the measurement of PEBP1 in cerebrospinal fluid (CSF) and assess the possible role of this protein as AD biomarker. Methods: We developed a sandwich enzyme-linked immunosorbent assay (ELISA) for detection of PEBP1 in CSF and performed a technical and a clinical validation on two well-characterized cohorts. The first cohort included 14 mild cognitive impairment due to AD (MCI-AD) and 11 other neurological diseases (OND) patients. The second, larger cohort, included 25 MCI-AD, 29 AD dementia (AD-dem), and 21 OND patients. Results: PEBP1 is highly sensitive to pre-analytical conditions, especially to prolonged storage at room temperature or 4°C. Analysis of the first cohort showed a trend of an increase of PEBP1 level in MCI-AD patients versus OND subjects. Analysis of the second cohort did not show significant differences among diagnostic groups. Weak, positive correlation was found between CSF PEBP1 and t-tau, p-tau, and Aβ40 in the AD-dem group. Conclusion: A novel ELISA for the detection of PEBP1 in CSF was developed. Further research is needed to assess the potential of PEBP1 in AD diagnostics. The observed dependence of the PEBP1 signal on operating procedures encourages its potential application as CSF quality control.
3-Hydroxyacyl-CoA and Alcohol Dehydrogenase Activities of Mitochondrial Type 10 17β-Hydroxysteroid Dehydrogenase in Neurodegeneration Study
Authors: He Xue-Ying , Dobkin Carl , Brown W.Ted , Yang Song-Yu 
Published: June 2022

Background: Mitochondrial 17β-hydroxysteroid dehydrogenase type 10 (17β-HSD10) is necessary for brain cognitive function, but its studies were confounded by reports of Aβ-peptide binding alcohol dehydrogenase (ABAD), formerly endoplasmic reticulum-associated Aβ-peptide binding protein (ERAB), for two decades so long as ABAD serves as the alternative term of 17β-HSD10. Objective: To determine whether those ABAD reports are true or false, even if they were published in prestigious journals. Methods: 6xHis-tagged 17β-HSD10 was prepared and characterized by well-established experimental procedures. Results: The N-terminal 6xHis tag did not significantly interfere with the dehydrogenase activities of 17β-HSD10, but the kinetic constants of its 3-hydroxyacyl-CoA dehydrogenase activity are drastically distinct from those of ABAD, and it was not involved in ketone body metabolism as previously reported for ABAD. Furthermore, it was impossible to measure its generalized alcohol dehydrogenase activities underlying the concept of ABAD because the experimental procedures described in ABAD reports violated basic chemical and/or biochemical principles. More incredibly, both authors and journals had not yet agreed to make any corrigenda of ABAD reports. Conclusion: Brain 17β-HSD10 plays a key role in neurosteroid metabolism and further studies in this area may lead to potential treatments of neurodegeneration including AD.
Directed-System-Call-Graph Feature for IoT Botnet Detection
Authors: Dung Ngo Q. , Viet Le H. 
Published: June 2022

Nowadays, the number and types of IoT devices are increasing rapidly, which leads to an expansion in the attack surface of this kind of device. Besides, the number of Botnet malware on IoT devices also grows with a lot of new variants. This context leads to an urgent demand for an effective solution in detecting new variants of IoT Botnet malware. There have been many studies focusing on IoT Botnet malware detection using static and dynamic analysis. In particular, the combination of the dynamic method with machine learning has shown outstanding advantages to detect IoT Botnet variants. However, the preprocessing of behavioral data originated from malware is still complicated, and the number of input vector dimensions of the machine learning model is still huge. In addition, these models also consume a lot of resources and have limited detection capabilities. Besides, dynamic analysis studies based on system calls mostly use call frequency characteristics and have not effectively exploited IoT Botnet malware’s life cycle characteristics. In this paper, we propose the Directed System Call Graph (DSCG) feature to sequentially structure the system calls. This DSCG graph will be vectorized and used as an input for building a malware analysis model based on popular machine learning classifiers such as KNN, SVM, Decision Tree, etc. Experiments on the datasets demonstrate that the features extracted from this graph have low complexity but still ensure high accuracy in detecting IoT Botnets, especially with newly emerged IoT Botnet families. The proposed model was evaluated with ACC = 98.01 % , TPR = 97.93 % , FPR = 1.5 % , AUC = 0.9961 on a dataset of 5023 IoT Botnets and 3888 benign samples.
Assistive technologies as an ODeL strategy in promoting support for students with disabilities
Authors: Ditlhale Tumelo W. , Johnson Lineo R. 
Published: June 2022

BACKGROUND: Students studying in the higher education system face multiple challenges, such as meeting the minimum requirements for enrolling in a programme, securing tuition fees and adapting to new teaching and learning styles, whilst also coping with minimal support. The challenges are more profound for students with disabilities (SWDs) who must progress and emerge triumphantly as graduates, despite their unique and special needs. OBJECTIVE: By relating the personal experiences of SWDs, this article examines the different types of support they need as they commence their studies in higher education institutions, as well as throughout their journeys. METHODS: The study adopted a qualitative multiple case study research design in which the approaches of public and private high schools in handling SWDs were compared with the experiences of SWDs at a higher education open distance e-learning institution. RESULTS: The findings revealed that the use and availability of assistive technology devices were more pronounced at the school level than at the ODeL institution. The SWDs expressed their frustrations and reported more struggles with their studies at the ODeL institution than they had experienced at school level. CONCLUSION: The SWDs in the study provided some potential improvements that could be implemented by ODeL institutions in addressing their needs and in providing support, whilst also emulating the best practices implemented at high school level.
Genesis and Issues of Using Latest Technologies and Artificial Intelligence in Criminalistics, Forensic Expert Activity and Pre-Trial Investigation
Authors: Ukhno Oleksandr 
Published: June 2022

The genesis of development and ways to improve theoretical and applied areas of criminalistics, forensic expertology and criminal procedure for solving forensic, procedural, organizational and other issues of implementation and use of science and technology in pre-trial investigation and trial of criminal offenses in various historical offenses in Ukraine. Special attention is paid to the scientific approach to the selection, implementation, use of computers, telecommunications, digital and other modern technologies and networks, artificial intelligence and advances in science and technology in forensics, expertise and pretrial investigation. The scientific positions of individual scientists and representatives of domestic and foreign scientific schools on these issues were studied and analyzed (inparticular, on the discussion, coverage and legislative consolidation in the legal and procedural mechanisms of selection, implementation and use of these technologies). The author’s vision is expressed and the scientific position on the raised problem questions and ways of their decision is formulated.
The aim is to analyze the historical development and current state of forensic, procedural and organizational issues of selection, licensing, use, adaptation of modern information, digital, telecommunications, computer and other technologies (including artificial intelligence) in forensics, expertise and pre-trial investigation, as well as the regulatory framework governing certain issues in this area.
Intensitas Mengakses Online Shopping Instagram Dengan Perilaku Konsumtif
Authors: Denok Wigati  , Windy Chintya Dewi  , Nur Fanti Indah Sari  
Published: June 2022

The purpose of this Inferential research was to test the significance of the correlation between the Intensity of Accessing online Shopping and Consumptive Behavior. The population of this study were 56 career women. The sampling technique used is Simple Random Sampling. The data collection method used the online shopping intensity and consumption behavior scales. Test the hypothesis using Rho Spearman. The results of Rho Spearman's analysis between the variables Of Intensity of Accessing Online Shopping and Consumptive Behavior produced a rho = 0.691 correlation coefficient with Sig.or p = 0.000 (p< 0.01), meaning that there is a very significant positive correlation between the intensity of accessing online shoping and consumptive behavior. This means that the increasing intensity of access to online purchases with high consumption behavior among career women. So, the hypothesis in this study is accepted.
Partai Politik dan Pemilu yang Demokratis
Authors: Muhsin  
Published: June 2022

ABSTRAK
Sesuai dengan ketentuan Pasal 22E Undang-Undang Dasar Negara Republik Indonesia Tahun 1945, bahwa Pemilihan Umum untuk memilih Presiden dan Wakil Presiden, Anggota Dewan Perwakilan Rakyat, Anggota Dewan Perwakilan Daerah, serta anggota Dewan Perwakilan Rakyat Daerah diselenggarakan berlandaskan asas langsung, umum, bebas, rahasia, jujur, dan adil setiaplima tahun sekali. Penyelenggaraan pemilu yang demokratis menjadi syarat penting dalam pembentukan kepemimpinan sebuah negara.
Salah satu wujud dalam keterlibatan masyarakat dalam proses politik adalah melalui pemilihan umum (pemilu).Permasalahan yang dibahas dalam penelitian ini adalah sebagai berikut: Bagaimana Fungsi Partai Politik dalam Pemilu yang demokrasi ? dan Apakah dampak partai politik dalam demokrasi di Indonesia ?.
Jenis penelitian yang dilakukan adalah penelitian yuridis normatif yaitu pendekatan yang menggunakan konsep legis positivis yang menyatakan bahwa hukum adalah identik dengan norma-norma tertulis yang dibuat dan diundangkan oleh lembaga-lembaga atau pejabat berwenang.
Kesimpulan Latar belakang Fungsi partai politik pertama, sebagai sarana komunikasi politik, Kedua, sebagai sarana bagi proses yang melaluinya seseorang memperoleh sikap dan orientasi terhadap fenomena fenomena politik dan untuk menciptakan citra (image) bahwa ia memperjuangkan kepentingan umum. Ketiga, segai sarana rekrutmen politik, Keempat, adalah sebagai saraa pengatur konflik, maka partai politik dengan simbol partai yang aspiratif dan mampu mengatasinya Implikasi positif adalah suatu bentuk akibat yang memberikan dampak kemajuan, kelancaran bagi pelaksanaan pemilu. Dan juga Implikasi Negatif : Hal seperti inilah yang sering menimbulkan ekses negatif, yaitu konflik antara wilayah pusat dan daerah, partai sering sekali tidak mampu mengkoordinir atau mengelola massanya untuk berkampanye secara tertib dan aman.
Correlación entre Ideación Suicida y Adicción a Internet en Estudiantes Universitarios de Ciencias Computacionales
Authors: Raygoza Castañeda María , Haro Mota Viviana Jaqueline , Rodríguez Flores Javier Octavio , Arévalo Mercado Carlos Argelio 
Published: June 2022

En el 2016 en México se presentó una tasa de 5.1 suicidios por cada 100,000 habitantes. Aguascalientes se encuentra en el 3er lugar a nivel nacional con 9.6 suicidios por cada 100, 000 habitantes. El objetivo de esta investigación fue el de identificar si el uso patológico de internet (PIU) es un factor de riesgo de suicidio en los jóvenes universitarios de la Universidad Autónoma de Aguascalientes. Se realizaron dos encuestas por invitación directa aleatoria, basadas en la Escala de Ideación suicida de Beck y el Internet Adiction Test, a 102 estudiantes. Se encontró que el 69.61% de los encuestados tiene el control completo sobre el uso de internet, el 28.43% tiene problemas frecuentes con el uso de internet y en el 1.96% existe adicción a internet y causa problemas significativos. Notablemente, se encontró que existe una correlación baja pero estadísticamente significativa entre la ideación suicida y la adicción a internet.
In 2016 in Mexico, there was a rate of 5.1 suicides per 100,000 inhabitants. Aguascalientes is ranked 3rd place nationwide with 9.6 suicides per 100, 000 inhabitants. The main objective of this research was to identify if the pathological use of the Internet (PIU) is a risk factor for suicide in undergraduate students of the Autonomous University of Aguascalientes. Two surveys were conducted and applied by random direct invitation to 102 students, based on the Beck Suicide Ideation Scale and Internet Addiction Test. It was found that 69.61% of the participants have complete control over the use of the internet, 28.43% have frequent problems with the use of the internet and in 1.96% there is internet addiction and it is causing significant problems. Notably, a low but statistically significant correlation was found between suicide ideation and Internet addiction.