bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectrum of weak model sets with Borel windows
Authors: Keller Gerhard , Richard Christoph , Strungaru Nicolae 
Published: June 2022

AbstractConsider the extended hull of a weak model set together with its natural shift action. Equip the extended hull with the Mirsky measure, which is a certain natural pattern frequency measure. It is known that the extended hull is a measure-theoretic factor of some group rotation, which is called the underlying torus. Among other results, in the articlePeriods and factors of weak model sets, we showed that the extended hull is isomorphic to a factor group of the torus, where certain periods of the window of the weak model set have been factored out. This was proved for weak model sets having a compact window. In this note, we argue that the same results hold for arbitrary measurable and relatively compact windows. Our arguments crucially rely on Moody’s work on uniform distribution in model sets. We also discuss implications for the diffraction of such weak model sets and discuss a new class of examples which are generic for the Mirsky measure.
Effect of combination of intravenous general anesthesia with propofol and fentanyl on surgery for aortic dissection repair in patients, and its influence on respiratory and circulatory functions
Authors: Bai Zhuoya , Kong Yuhua , Chen Lin , Wang Lingling 
Published: June 2022

Purpose: To investigate the effect of application of propofol in combination with fentanyl intravenous anesthesia in interventional surgery for aortic dissection repair, and its influence on respiratory and circulatory functions in patients.Methods: 100 patients undergoing interventional surgery for aortic dissection repair in Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang. China from ovember 2018 to May 2020 were assigned equally to control group (CG) and study group (SG). CG received general anesthesia with propofol, while those in SG received combined intravenous general anesthesia with propofol and fentanyl. Time of anesthesia onset, postoperative awakening time, extubation time, respiratory function indicators and circulatory function indicators before operation (T0), and at intraoperative 1 h (T1), intraoperative 2 h (T2) and postoperative 2 h (T3); as well as postoperative VAS pain scores, and Ramsay sedation scores were determined and compared.Results: Compared with CG, SG had shorter anesthesia onset, shorter postoperative awakening and extubation times, and lower postoperative VAS pain and Ramsay sedation scores (p < 0.05). At T1, T2 and T3, indicators of respiratory and circulatory functions were better in SG than in CG (p > 0.05).Conclusion: Combined intravenous general anesthesia using propofol and fentanyl was more effective in interventional surgery for repair of aortic dissection, and it enhanced respiratory and circulatory functions in the patients.
Mobility Models as a Key-Performance Factor for Wireless Networks
Authors: Abdulqader Ayad 
Published: June 2022

Nodes in wireless networks can be static or dynamic. Static nodes are stationary and their positions are fixed and their distribution may follow a particular topology. On the other hand, dynamic nodes are considered mobile and their positions changed over time due to following a specific pattern of movement, which also lead to the concept of the topology being irrelated. Simulating such networks needs a lot of attention and many requirements should be held. For instance, nodes in dynamic wireless networks are distributed according to a distribution that reflects the nature of the environment (e.g., Gaussian, Power-Law, Uniform distribution, etc.). Moreover, describing the movement patterns of nodes in dynamic wireless networks need to follow a particular mobility model that describes the movements of nodes in terms of speed and direction (e.g., Individual mobility model, Levy Flight Model, Cauchy Model). In addition to the aforementioned requirements, it is needed to incorporate a routing protocol that governs data spread within the simulation environment. This work designed a variety of experiments that combine the mentioned requirements and measure the performance of dynamic wireless networks under colorful settings and configurations. The metrics used in this approach are the amount of data exchanged, coverage area, and power and memory consumption. Mobility models, node deployment strategy (distributions), and routing protocols are the three factors that will be involved in the experiments. The experiments deal with four mobility models Random Way Point Mobility Model (RWPM), Street Random Way Point Mobility Model (SRWPM), Manhattan Mobility Model (MM), and Levy Flight Mobility Model (LFM). Three distribution models will be used in the experiments Power-Law Distribution, Chi-Squared Distribution, and Normal Distribution. The third factor that will be involved in the routing protocol, is Probabilistic Flooding Routing Protocol. Different experiments are benchmarked using these metrics. The results of this work will reveal facts about dynamic network simulations and provide some recommendations to network developers and architects.
Token-based code clone detector for Dart language
Authors: Khazaal Yasir Mohammed , Hammo Asma’a Y 
Published: June 2022

Reusing the code in multiple locations is called in software engineering Code Clone. Detection of a clone is important to reduce the maintenance time and size of code. There are four techniques to detect the code clone: text-based, token-based, AST(Abstract Syntax Tree) based, and PDG(Program Dependence Graph) based.
In this paper, we propose and implement the token-based method for code clone detection in the Dart language. The proposed method is evaluated by injecting clones to Dart programs. Results show that the proposed method detects all the injected codes.
A Nascent Technique for Cultivated Feature Selection using Evolutionary Computation Algorithms
Authors: Minocha Sachin , Singh Birmohan 
Published: June 2022

Evolutionary computation algorithms are in recent trends for feature selection due to their efficient results as compared to traditional algorithms. The performance of the evolutionary computational algorithm completely depends upon the parameter (like population, number of generations) setting. Existing parameter setting techniques have been developed for specific algorithms. This paper designs a generic pre-processing technique that removes the redundant as well as irrelevant features from the initial given feature set. This work uses Kendall tau to find the non-redundant feature and the Kruskal Wallis for the relevant features. If Kendall tau is not able to select any non-redundant feature then mutual information gain is used to select significant features followed by the Kruskal Wallis to select relevant features. The designed technique has been analyzed on 4 evolutionary computation algorithms, Modified Binary Particle Swarm Optimization, Non-dominated Sorting Genetic Algorithm, Binary Grey Wolf Optimization, and Binary Whale Optimization Algorithm over 6 datasets by using accuracy, the number of features in selected subset, sensitivity, and specificity. The present technique improves the performance of each algorithm in terms of accuracy, sensitivity, and specificity by 1 % on average with a 10 % reduction in the selected feature subset proves the significance of the proposed technique.
HIGHLIGHTS

This work removes the redundant features from the initial population using Kendall’s tau and mutual information gain to reduce the initial population for any Evolutionary Computation (EC) algorithm
The relevant features that are highly correlated with class are added back to the initial population to maintain the optimal initial population
The performance validation has been done using four EC algorithms to show the significance of the work

GRAPHICAL ABSTRACT
A Literary Review on Lifestyle Intervention Through Ayurveda in Increasing Pattern of Non-Communicable Diseases due to Urbanization.
Authors: Jha Dr Manglakant , Sah Mithilesh Kumar , Atul Kumar  
Published: June 2022

Non-communicable diseases (NCDs) are of increasing concern for global health due to their high mortality rate. The major risk factors of NCDs can be classified into categories of self-management, genetic factors, socio-demographic factors, environmental factors and factors of medical conditions. Consuming alcohol, smoking, physical inactivity and unhealthy dietary habits are the vulnerable risk factors. NCDs are driven by factors like rapid unplanned urbanization, unhealthy lifestyle and aging also. The metabolic risk factors include hypertension, increased blood sugar level & blood pressure may be due to unhealthy diet and physical inactivity, lead to NCDs.
The description of bahudosha, snatarpanjanya vyadhi, medoroga and santarpanjanya prameha in Ayurveda has similarity to metabolic risk factors. The management of these conditions in Ayurveda involves predominantly Aahara (proper diet), Vihara (physical activity, exercise and stress management) and shodhana (purification). The main focus is on the elements of self-management and to understand the importance of lifestyle intervention and risk factors modification in order to prevent NCDs at all stages of life.
This paper will discuss epidemiological data of non-communicable disease and urbanization. The review of this condition along with its management from Ayurveda perspective and its importance in clinical practice will be discussed.
Role of Diet, Lifestyle and Yoga in the Prevention and Management of Respiratory Illnesses in Children
Authors: Khayamali Dr. Renu , Bhat Dr Soumya 
Published: June 2022

Acute respiratory infection is the biggest cause for mortality among children aged less than 5 years, especially in developing countries. A community-based survey study showed that prevalence of respiratory infections was found to be 63.7% and 53.7% in urban and rural areas respectively. Respiratory infections account for 40% of child mortality globally. Burden of acute respiratory infection is increasing day by day due to the growing trend of modernization and urbanization. Overcrowding, repeated exposure to several allergens, poor nutrition are the other major etiological factors in the development of respiratory illness. After Corona virus 2019 (Covid-19) pandemic, the number of cases rose to millions and several countries across the globe were impacted severely.
Ayurveda is a holistic science which aims at health protection, promotion and strengthening immunity to overcome diseased condition. Diet and lifestyle modification, Yogic methods like Asana, Pranayama and Neti improve respiratory health by cleansing airways, strengthening respiratory muscles, enhancing lung capacity and tissue oxygenation. Assessment of Prakriti, cause behind the illness, treating the existing morbidity, Rasayana prayoga, following necessary precautions and using certain home remedies at an early stage are important to maintain respiratory as well as overall health.
This paper highlights preventive modalities in every level of health condition, both physical and mental, stressing especially on diet and lifestyle practices of a child.
World Atlas of late Quaternary Foraminiferal Oxygen and Carbon Isotope Ratios
Authors: Mulitza Stefan , Bickert Torsten , Bostock Helen C. , Chiessi Cristiano M. , Donner Barbara , Govin Aline , Harada Naomi , Huang Enqing , Johnstone Heather , Kuhnert Henning , Langner Michael , Lamy Frank , Lembke-Jene Lester , Lisiecki Lorraine , Lynch-Stieglitz Jean , Max Lars , Mohtadi Mahyar , Mollenhauer Gesine , Muglia Juan , Nürnberg Dirk , Paul André , Rühlemann Carsten , Repschläger Janne , Saraswat Rajeev , Schmittner Andreas , Sikes Elisabeth L. , Spielhagen Robert F. , Tiedemann Ralf 
Published: June 2022

Abstract. We present a global atlas of downcore foraminiferal oxygen and carbon isotope ratios available at https://doi.org/10.1594/PANGAEA.936747
(Mulitza et al., 2021a). The database contains 2106 published and previously unpublished stable isotope downcore records with 361 949 stable isotope
values of various planktic and benthic species of Foraminifera from 1265 sediment cores. Age constraints are provided by 6153 uncalibrated
radiocarbon ages from 598 (47 %) of the cores. Each stable isotope and radiocarbon series is provided in a separate netCDF file containing
fundamental metadata as attributes. The data set can be managed and explored with the free software tool PaleoDataView. The atlas will provide
important data for paleoceanographic analyses and compilations, site surveys, or for teaching marine stratigraphy. The database can be updated with
new records as they are generated, providing a live ongoing resource into the future.
Meyan Otunun Yonca Silajına İlavesinin Silaj Kalitesi Üzerine Etkisi
Authors: DOĞAN DAŞ Besime , DAŞ Aydın , KIRAR Nurcan , KAHRAMAN Mücahit , BUDAK Duygu , TOP Şermin 
Published: June 2022

Bu çalışmada tamponlama kapasitesi yüksek olan ve bu sebeple güç silolanan yonca (Medicago sativa L.) bitkisine silaj kalitesi üzerine etkisini incelemek amacıyla kolay eriyebilir karbonhidrat kaynağı olarak meyan (Glycyrrhiza glabra) bitkisi ilave edilmiştir. Araştırmada hazırlanan silaj grupları, yonca bitkisi kontrol (katkısız), yonca bitkisine yaş ağırlık esasına göre %2, %4, %8, %16 ve %32 oranında meyan otu ilave edilerek toplam 6 farklı grup oluşturulmuştur. Silajlar 60 günlük fermantasyon süresi sonunda açılarak ham besin madde bileşimleri ve fermentasyon ürünleri tespit edilmiştir. Yonca bitkisine farklı seviyelerde meyan otu ilave edilerek hazırlanan silajların besin madde değeri üzerine etkileri incelendiğinde çalışmadan elde edilen silajların kuru madde, ham protein, ADF VE NDF içerikleri bakımından gruplar arası farklılıklar istatistiki olarak önemli bulunmamıştır. Meyan otu ilave edilerek hazırlanan silajların pH değerleri incelendiğinde en düşük pH değeri %32 yaş meyan otu ilavesi ile hazırlanan silajdan elde edilmiştir. Silajların amonyak azotu değerleri incelendiğinde, yaş meyan otu seviyesinin artışına bağlı olarak amonyak azotu değerlerinin azaldığı görülmüştür. En yüksek flieg puanı 73.79 ile %32 yaş meyan otu ilavesi ile hazırlanan silajlardan elde edilmiştir. Silajlara ait fiziksel özellikler (renk, koku, strüktür) incelendiğinde strüktür ve renk özellikleri bakımından gruplar arasında istatistiki olarak farklılıklar tespit edilmemişken, koku ve DLG puanları arasında gruplar arasındaki farklılıklar istatistiki olarak önemli bulunmuştur. DLG puan ortalama değeri incelendiğinde en yüksek %32 yaş meyan otu ilavesi ile hazırlanan silajlardan elde edilmiştir. Sonuç olarak, bu çalışmada silolanması güç olan yoncadan kaliteli silaj elde edebilmek için ortamdaki kolay eriyebilir karbonhidrat düzeyinin yükseltilmesi amacıyla silaj materyaline alternatif olarak meyan otunun karbonhidrat kaynağı olarak katılabileceği ve meyan otunun yonca silaj kalitesini arttırması amacıyla kullanılabileceği sonucuna varılmıştır.
Analysis of male persons did slightly more infected than female persons with COVID-19
Authors: Verma Vijay Kumar , Malpani Kamlesh 
Published: June 2022

The Z-test is a hypothesis testing tool that can be used to detect whether a mean result for large population is statistically significant the population is normal distribution. It is a statistic based approach which is used to identify whether we canapproximated the given distribution by a distribution which isnormal. It is used to identify whether means of twosamples are approximately the identical or different. It is useful when the size of the sample is large (should be >= 30).In this paper we apply Z- test on large covid-19 infected population for Indore city. From the large population covid-19 infected population it is difficult to check and identify that how many male and how many female persons are infected. Large numbers of tests are conducted for suspected male and female person for covid-19. There are so many statistical tools are available to analysis the data set but it is difficult to select tool. Using Z test we want check that Male persons did slightly more infected than female Persons with Covid-19. We calculate test statistics and values of Z and compare it with standard normal distribution for Z value. We used random sample size for both male and female persons.
Penerapan Metode Vikor dalam Penilaian Objek Wisata kota Bengkulu
Authors: Septianto Muhamad Diecky , Elfianty Lena , Sartika Devi 
Published: June 2022

The Tourism Office of Bengkulu Province is a government agency engaged in tourism, especially Bengkulu Province which supports activities related to tourism activities such as recording tourist objects, evaluating tourism objects and introducing tourism objects to tourists. All this time, the evaluation process for tourism objects has not been carried out optimally, therefore it cannot be known with certainty which tourism objects need to be addressed and which need to be improved. This is because the evaluation carried out is only limited to collecting data on tourism objects. The implementation of the Vikor Method in the assessment of tourism objects in Bengkulu City is done by building an application that can identify the results of the application of the Vikor method using the Visual Basic .Net programming language and SQL Server 2008r2 database. There are 11 (eleven) criteria used in the assessment of tourism objects attractions in Bengkulu City, namely natural beauty, coolness, cleanliness, security, entertainment, shopping, health services, communication networks, power sources, transportation, tour guides. The assessment was carried out on 6 tourist objects, namely Fort Malborough, Soekarno's House, Fatmawati's House, Bengkulu Museum, Panjang Beach and Dendam Tak Sudah Lake by assigning a value to 11 predetermined criteria. From the results of the assessment, it will be reprocessed into the Vikor Method to find out which tourism objects has the lowest Vikor index value sorted by rank. Based on the results of the Black Box Method testing on the tourism objects assessment application in Bengkulu City, it can be concluded that the functionality of the application has been running properly and is able to display the final results of the assessment based on the Vikor Method
Former and present habitats of Grey partridge (Perdix perdix L.) and Rock partridge (Alectoris Graeca Meisner) in Federation of Bosnia and Herzegovina
Authors: Kunovac Saša 
Published: June 2022

The main problem in small game management today is habitat loss. Agricultural development and modern techniques in crop farming have a high impact on small game populations. To present this impact in the Federation of Bosnia and Herzegovina, we analyzed and determined former and present habitats of two traditionally important gamebird species: Grey partridge (Perdix perdix L.), and Rock partridge (Alectoris Graeca Meisner)
Recovery Strategies of Tourism Businesses in the COVID-19 Pandemic in Indonesia
Authors: Ralinas Fulka 'Ilmy Avicenna , Juhanda Juhanda , Faozen Faozen , Jatmiko Hadi 
Published: June 2022

This paper explores compatible recovery strategies executed by the tourism business owners to survive their businesses due to the undeniable stagnation of the Covid-19 pandemic in Indonesia. The present study utilizes semi-structured online interviews to explore participants' activities, experiences, and strategies to maintain the tourism business during the COVID-19 pandemic. We garnered all data concerning the practical field experiences of participants by distributing google forms and collected further information from communication via telephone and WhatsApp. The research results showcased three strategies for the tourism business survival: improving hygiene and health standards, intensifying promotion, and operational cost control. Practically, this research will benefit tourism businesses to be more resilient in uncertain conditions in the future. The current study also contributes to the authority to resolve relevant policies incorporated with economic recovery related to the crisis due to the pandemic.
Peningkatkan Hasil Belajar Pendidikan Agama Islam Siswa Kelas XI Di SMA Ekasakti Padang Dengan Metode Pembelajaran Demonstration Berbasis Discussion Process
Authors: Riyadi Slamet , Adilah Nur 
Published: June 2022

Penelitian ini bertujuan untuk mengetahui peningkatan keaktifan dan hasil belajar siswa pada mata pelajaran Pendidikan Agama Islam (PAI) setelah diterapkannya metode pembelajaran demonstration berbasis discussion process. Metode penelitian yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas (PTK). Penelitian dilakukan di SMA EKASAKTI Padang pada kelas XI. Metode pengumpulan data yang dilakukan pada penelitian ini adalah: observasi, wawancara, dokumentasi, dan tes. Analisis data dalam penelitian ini dilakukan secara deskriptif kuantitatif dan kualitatif. Hasil dari penelitian ini adalah: (1). kesiapan siswa dalam menerima pelajaran sebelum dilakukan tindakan 39,06%, setelah siklus I 70,31%, dan setelah siklus II 86,23%. (2). keaktifan siswa dalam proses pembelajaran sebelum dilakukan tindakan 23,18%, setelah siklus I 67,97%, dan setelah siklus II 85,41%. (3). persentase siswa yang mendapatkan nilai tuntas di atas 70 sebelum dilakukan tindakan 31,75%, setelah siklus I 68,25%, dan setelah siklus II 87,75%. (4). terdapat peningkatan yang signifikan antara masing-masing indikator pada setiap siklus, hal tersebut dapat di lihat dari peningkatan kesiapan, keaktifan, dan hasil belajar siswa pada saat sebelum dilakukan tindakan, pada siklus I dan pada siklus II. Pada siklus II semua indikator telah melampaui target persentase indikator keberhasilan yang telah ditetapkan. Sehingga siklus penelitian dapat dihentikan pada siklus II dan dapat di tarik kesimpulan bahwa metode pembelajaran demonstration berbasis discussion process berhasil serta lebih efektif dibandingkan dengan metode ceramah.
Attitudes toward mental disorder among medical students
Authors: Vaupotič Klara , Uplaznik Špela , Gregorič Kumperščak Hojka , Plemenitaš Ilješ Anja 
Published: June 2022

Background: People with mental disorders are among the most stigmatized and vulnerable members of society. Our research study intended to determine the medical students’ attitude toward mental disorders, the presence of stigma, and whether either changed throughout their six-year medical education.
Methods: The sample included 200 medical students of the University of Maribor. Empirical data were collected using the CAMI scale (Community Attitudes Towards the Mentally Ill), the Comparison of Attitudes of Patients and Students in Slovenia questionnaire, and additional questions regarding specific mental disorders. The results were processed using the SPSS 25 program. Descriptive statistics methods were applied, including the ANOVA test. Statistically, significant correlations and differences were checked at a 5% risk level.
Results: The students strongly agreed with the positive statements and disagreed with the negative statements on the CAMI scale (MV=3.93; SD=0.34; p=0.046). No significant discrepancies between individual undergraduate years were observed; the sixth-year students expressed the most positive attitude among all students. The mean value of all statements was 3.9 (Y1-Y6 SD=0.5), indicating a low presence of stigma.
Conclusion: The students expressed a positive attitude toward mental disorders. In sixth-year students, the least stigma, and better knowledge and attitude towards mental disorders were observed. Education, clerkship, and hearing personal confessions about experiencing a mental disorder are needed as they improve attitudes toward them.