bluuebunny/crossref_metadata_2025 huggingface dataset:
Plasma T3 (Triiodothyronine) and T4 (Thyroxine) Hormone Levels As Reference Values In Rehabilitated Healthy Gray Herons (Ardea cinerea)
Authors: SÖNMEZ Evrim
Published: December 2021

In the rehabilitation of wild birds, determining the release criteria is very important for the survival of the animal after its release to the nature. When determining these criteria, the clinical examinations and clinical data of the animals should be evaluated. Therefore, reference laboratory values play a vital role in determining release to nature. In this study, 15 (fifteen) adults and healty Gray heron (Ardea cinerea) were brought to the 'Kafkas University, Wild Animal Protection, Rescue, Rehabilitation Application and Research Center' clinic in May 2016, because their nests were destroyed as a result of the overturning of the plane tree in Iğdır province, and they did not leave their surroundings, were rehabilitated. Birds were kept in bird care rooms specially designed for their species in the rehabilitation center. The birds were taken blood 4 days after being rehabilitated and then released into the nature. Plasma T3 and T4 hormone levels in birds were determined as a result of the analysis of blood samples. It was concluded that the differences in plasma T3 and T4 hormone levels obtained from a total of 15 birds were due to the increasing physiological and metabolic needs during the captivity period in center.
Seroepidemiological survey of the Crimean-Congo Hemorrhagic Fever Virus (CCHFV) infection amongst domestic ruminants in Adana province, East Mediterranean, Turkey.
Authors: TEKELİOĞLU Bilge Kaan , OZAN Emre , ÜTÜK Armağan Erdem , ATLI Ayça Hatice , ALBAYRAK Harun , ELSABAGH Mabrouk , GÖKÇE Mahmut , TURUT Nevin , ESENDAL Ömer Memduh , ÇELİK Mehmet
Published: December 2021

Crimean-Congo hemorrhagic fever virus (CCHFV) has been observing since 2002 and 2015 in Turkey and Adana, respectively. However, there were no previous seroepidemiological data on CCHFV in Adana. This study, thus, aimed to investigate the seroepidemiological status of Adana province for CCHFV in ruminants, according to species, breed, age, gender and geographical location. The study was carried out in 15 districts from sea level to plateaus (0-1472 m), within a 14,030 km² area. 485 samples were tested with modified anti-CCHFV IgG ELISA. A human-based IgG ELISA was adapted to recognize cattle, sheep and goats IgG antibodies. The conjugation (anti-human IgG peroxidase) was replaced with appropriate conjugate in each species. Statistical analyses indicated a significant relationship between antibody presence and animal age, species, breed and location but there was no relation with animal gender. Out of 485 samples, 154 were seropositive (31.8%). It was determined that the statistical cluster varied between 5.8% and 74.3% according to location and seropositivity. The most important variable associated with antibody presence was geographic location. While high seropositivity is found at altitudes above 555 meters, it is found to be 7% and 3% at sea level. The seropositivity reached 100% in the village where human deaths were seen in 2015, and 74.3% in the Tufanbeyli district where this village is located. The results indicate that Adana is an endemic province for CCHFV infection, especially in high altitude regions.
San José, el amigo de Dios que tiene un corazón de padre
Authors: Mayor Tamayo Jhon Fredy
Published: December 2021

Como lo dirá casi la totalidad de los autores que hacen parte de esta publicación, san José es el gran desconocido. Primero porque las referencias bíblicas son escasas y limitadas solamente a los Evangelios de la infancia (Mateo y Lucas), y segundo porque la tradición lo presentó más desde los Evangelios apócrifos, los cuales fi jan su fi gura más como la de un abuelo que como la de un esposo de María y padre de Jesús. Lo anterior hizo que el acercamiento a este personaje fuera más desde la piedad popular que lo ubicó en la larga lista de santos de la Iglesia. De ahí que muy poco se escribiera sobre él, y mucho menos se hiciera una lectura teológica de su figura que permitiera comprender un poco mejor su papel en la historia de la salvación y lo que él aporta a la vida cristiana.
Lectura bíblico-teológica de la figura de san José en el contexto actual de la pandemia
Authors: Cabrera Piñango Rebeca
Published: December 2021

Propiciar un espacio académico para estudiar la fi gura de san José — frente a los grandes desafíos que entraña una pandemia— en el marco del 150° aniversario como patrono de la Iglesia, es una invitación a seguir sus huellas cuando sale a nuestro encuentro para ofrecernos patrocinio y protección. En su paternidad, se vislumbra la expresión de una paternidad mayor, la de Dios Padre, y en su fi gura, se presentan claves de lectura que permiten observarlo como una bendición para las familias que hoy atraviesan precariedad y amenazas. Ahí se observa la gracia de Dios que brota de su corazón de padre.
Directive acts uttered by main character in I care a lot movie
Authors:   Universitas Putera Batam, Virginia Fanny , Ambalegin Ambalegin ,   Universitas Putera Batam (UPB), Batam, Indonesia
Published: December 2021

This descriptive qualitative research essentially aimed at exploring the types of directive acts uttered by the main character in I Care a Lot movie. The data were taken from utterances of directive acts uttered by Marla as the main character. It was analyzed by applying the types of directive acts theory carried out by Searle (1979). The method of collecting the data was the observational method and non-participatory technique. Furthermore, pragmatic identity method and pragmatic competence- in equalizing were conducted to analyze the data. The results revealed that there were 15 utterances of directive acts uttered by the main character in I Care a Lot movie. There were 5 data showed asking, 4 data showed ordering, 3 data showed permitting, 1 data showed advising, 1 data showed requesting, and 1 data showed inviting. The type of asking became the commonly produced type because the main character frequently asked questions to other characters in I Care a Lot movie.
Pengaruh Keunikan Produk Dan Kelengkapan Produk Terhadap Keputusan Pembelian Produk Makanan Oleh-Oleh Kota Pekanbaru
Authors:   Universitas Lancang Kuning, Indonesia, Nofrizal Nofrizal
Published: December 2021

Perilaku konsumen ketika mengambil keputusan pembelian produk Makanan Oleh-oleh di Kota Pekanbaru dipengaruhi banyak faktor apalagi dimassa pendemi Covid 19. Tujuan penelitian ini untuk menguji pengaruh keunikan produk terhadap keputusan pembelian, menguji pengaruh kelengkapan produk terhadap keputusan pembelian dan menguji pengaruh keunikan produk dan kelengkapan produk secara simultan terhadap keputusan pembelian produk makanan oleh-oleh Kota Pekanbaru. Objek penelitian ini adalah konsumen yang pernah membeli produk makanan oleh-oleh di Kota Pekanbaru. Jumlah sampel berjumlah 173 orang responden dengan metode sampling proposive sampling yaitu konsumen yang pernah membeli produk makanan oleh-oleh Kota Pekanbaru. Data penelitian bersumber dari data primer yang terdiri kuisioner dan observasi sedangkan data sekunder yang bersumber artikel, buku, laporan data jumlah industri kecil makanan Kota Pekanbaru. Pengumpulan data menggunakan metode observasi, kuisioner dan studi keperpustakan. Metode analisis data untuk mengukur keunikan produk dan kelengkapan produk terhadap keputusan pembelian menggunakan Regresi Berganda. Hasil penelitian menunjukan bahwa keunikan produk berpengaruh positif dan signifikan terhadap keputusan pembelian, Kelengkapan produk berpengaruh positif dan signifikan terhadap keputusan pembelian dan keunikan produk dan kelengkapan produk berpengaruh positif dan signifikan secara simultan terhadap keputusan pembelian produk makanan oleh-oleh Kota pekabaru.
Literasi Kewirausahaan Dan Munculnya Wirausaha Mahasiswa: Apakah Ada Hubungan?
Authors:   Universitas Negeri Malang, Indonesia, Putri Rizky Dwi , Megasari Rizza ,   Universitas Negeri Malang, Indonesia, Rachmawati Dian ,   Universitas Negeri Malang, Indonesia, Inayati Ro’ufah ,   Universitas Negeri Malang, Indonesia
Published: December 2021

This article aims to identify how entrepreneurship literacy could trigger the emergence of potential entrepreneurs from students. This paper presented a case study of the implementation of learning innovations for entrepreneurship courses using the project-based learning (PjBL) models. The implementation of PjBL on entrepreneurship subjects aims to instill an entrepreneurial spirit in students and motivate them to become entrepreneurs. This phenomenology research uses primary data through observation and interview with respondents that attended entrepreneur courses. The result of the business plan arranged by the student was analyzed and the internalization measurement of entrepreneurial spirit was conducted through student activities in class. This study has identified the criteria such as discipline, creativity, responsibility, leadership, decision-making, learning motivation, and communication skill through classes. Based on the in-depth interviews with eight students of entrepreneurship courses, the PjBL could stimulate students to improve entrepreneurial character, mindset, and skill to support participation and performance in a range of entrepreneurial activities. The entrepreneurial spirit showed a significant difference between before and after class which can see not only in the business plan and student’s presentation skills, also in their dream to continue the business there has been started. Furthermore, this study alternated formulation for entrepreneur courses in higher education.
Pemanfaatan Platform Media Sosial Instagram Sebagai Media Promosi Industri Kuliner Saat Pandemi Covid-19 (Studi Kasus Pada Akun @kolakcampurkolaku)
Authors:   Politeknik Piksi Ganesha, Indonesia, Veranita Mira , Susilowati Rini ,   Politeknik Piksi Ganesha, Indonesia, Yusuf Ramayani ,   Politeknik Piksi Ganesha, Indonesia
Published: December 2021

Media sosial sat ini perannya cukup penting untuk menghubungkan secara efektif antar individu yang satu dengan individu lainnya, atau dengan kelompok dan perusahaan. Di masa pandemi Covid-19 yang membatasi banyak aktivitas masyarakat, pemanfaatan media sosial Instagram sangatlah membantu. UKM Kolakulaku menggunakan platform media sosial Instagram untuk berkomunikasi dengan konsumen, melakukan promosi dan menjalankan digital marketing karena saat ini memiliki hambatan untuk menjalankan bisnis nya secara konvensional. Penelitian ini bertujuan untuk mengetahui pemanfaatan platform media sosial instagram sebagai media promosi industri kuliner saat pandemi covid-19. Metode penelitian adalah kualitatif yang menggunakan studi kasus dengan teknik analisis isi (content analysis). Diperoleh hasil penelitian bahwa akun @kolakcampurkolaku telah memanfaatkan Strategi Digital Marketing dengan memanfaatkan media sosial Instagram sebagai media promosi dengan cukup baik dan efektif. Disarankan untuk meningkatkan relation building sehingga followers bertambah banyak, menggunakan jasa influencer untuk endorsement dan paid promote juga memaksimalkan penggunaan InstagramAds.
Affektive Perspektivenübernahme beim Verstehen literarischer Texte im Grundschulalter und ihre Bedeutung für Leseeinstellungen und Textverstehen
Authors: Heyne Nora , Pfost Maximilian , Heiler Hanna Maria
Published: December 2021

Ziel der Studie ist es, den Stand der Fähigkeiten von Grundschulkindern zur affektiven Perspektivenübernahme beim Verstehen literarischer Texte, als empathisches Textverstehen, und ihre Zusammenhänge mit Textverstehen und Leseeinstellungen zu untersuchen. Die Erhebung dieser Merkmale erfolgte anhand von Tests und Fragebögen im Anschluss an Lesungen. Die Befunde verdeutlichen, dass Kinder (N = 160), insbesondere Mädchen, substantielle Fähigkeiten im empathischen Textverstehen aufweisen, die positiv mit den Leseeinstellungen und dem übergreifenden Textverstehen korrelieren. Dass diese Fähigkeiten, vermittelt über Leseeinstellungen, das Textverstehen begünstigen, zeigen die Daten nicht. Die Studie bietet zudem neue methodische Zugänge zur Erfassung des empathischen und des übergreifenden Textverstehens. Diese zukünftig bei Leseprozessen und im Entwicklungsverlauf zu untersuchen, lässt Erkenntnisse zum Potenzial empathischen Lesens für den Erwerb von Lesekompetenz und weiteren Fähigkeiten erwarten.
A systematic review of research on pre-service TESOL teachers’ emotions
Authors: KORUCU KIŞ Saadet
Published: December 2021

The study of pre-service teachers’ emotions has long been marginalized within the field of teaching English to speakers of other languages (TESOL). Yet, with the advent of a sociocultural turn in the field and an emotional turn in educational science, there has been growing interest in the role of emotions in would-be teachers’ professional learning. The purpose of this study is to examine the demographic (i.e. year of publication, contributing countries and methodologies used) and topical trends concerning pre-service teacher emotionality in TESOL teacher education. For this purpose, studies published in journals that were included in Social Science Citation Index (SSCI) were reviewed and a total of 19 research articles were analyzed using both deductive and inductive analysis techniques. Concerning the demographic trends, the findings revealed that there has been an increase in the number of research articles within the last decade. Turkey and China are among the major contributing countries and the most frequently used research methodology is qualitative method. As to topic trends, “Emotions and Identity Formation”, “Emotions in relation to Language Learning” and “Emotional Responses to University Coursework” are found to be as the most popular research topics. As a result of the analysis, current gaps in research on TESOL education are identified and suggestions are made for future work.
On the weak Harnack inequality for the parabolic p(x)-Laplacian
Authors: Surnachev Mikhail
Published: December 2021

In this paper a weak Harnack inequality for the parabolic [Formula: see text]-Laplacian is established.
Climate and Environmental Benefit Study of PV Resource Development: Case Study of Angola
Authors: Lei Yu , Lu Xi , Wang Ying , Guo Haoqiang , Wang Yu , Zhong Zhuojun
Published: December 2021

Vigorously promoting the development of photovoltaic (PV) resources is a positive measure taken by humanity in response to the changes in global climate and environment. At the same time, combining photovoltaic power generation systems with traditional power generation systems, using the advantages of different power generation systems to achieve real-time scheduling optimization has become an urgent problem to be solved in engineering applications. This paper attempts to study the climate and environmental benefits of the development of photovoltaic resource in Africa by taking Angola as an example based on actual project data. According to the characteristics, load requirements, seasonal characteristics and actual engineering background of Tombwa in Angola, a baseline Scenario and four comparative Scenarios were established, and the operating costs of the five Scenarios in local rainy season and dry season were obtained respectively. The cost of electricity for the five Scenarios calculated subsequently. Through real-time scheduling and optimization of the software, the emission characteristics of CO2, NOx and CO under five Scenarios are obtained, and the climate benefits and environmental benefits of the five scenarios are further analyzed and compared. The results show that the development of photovoltaic resources in Angola has good climate and environmental benefits. In addition, the combine application of diesel, PV and battery power system will be the most effective of the five Scenarios to reduce the CO2 emissions with the lowest levelized cost of electricity (LCOE) of 0.38 yuan/kwh, as a cost-effective solution in remote areas of Angola, Africa.
Constructing a Water-Energy-Food Efficiency Coupling Model from the Perspective of Land Use
Authors: Su Qingmu , Chen Kaida
Published: December 2021

Water, energy and food are basic human needs. However, there is a competitive relationship among these three types of resources regarding land resources. How to study the coupling and coordination relationship among water-energy-food (W-E-F) from the perspective of land use has become a problem demanding prompt solution. In this study, parallel data envelopment analysis and coupling coordination degree (CCD) model were used to establish an efficiency coupling model of W-E-F. The model aims to explore the interrelationship among the three kinds of important resources as a whole and establish a synergistic collective solution. The results showed that the relationship among water, energy and food with a high CCD can improve the overall parallel efficiency. The results can provide a reference for the development of long-term coordination plan and action plan of departments to achieve Sustainable Development Goals.
Study on the Digital Economy Development Level and Its Influencing Factors in Hubei Province—Based on the Green Development Concept
Authors: Chen Chun , Sun Yue
Published: December 2021

Based on the concept of green development, this paper constructs the comprehensive evaluation system to measure the development level of digital economy in Hubei Province and uses the entropy method to calculate the development level with the relevant data during 2013-2019 years, analyzing the factors affecting the development of the digital economy in Hubei Province. In addition, this paper uses the gray correlation method to explore the relationship between influencing factors. The results show that the popularization level of digital technology and R&D innovation are the main engines to promote the development of digital economy in Hubei Province. The completed infrastructural facility can positively stimulate the application of digital technology and promote the digital development of enterprises. Therefore, Hubei Province should vigorously promote industrial integration, improve innovation ability, expand application scenarios and optimize digital governance to improve the development level of digital economy, so as to realize the green development of Hubei Province.
Assessing Dense Neighbourhood Sustainability for Daylight Performance: A Case Study of Beijing
Authors: Zhang Yingyi , Ning Yanghongwei
Published: December 2021

Daylight is a valuable natural resource that has been related to space quality and sustainable development. With the increasing density of urban population and physical environment, current manual-based daylight analysis and assessment have limited capabilities for dense neighbourhood evaluation and fail to effectively quantify natural daylight in residential zones. This paper proposes a parametric-based modelling system that perform year-round daylight access in dense neighbourhoods. Neighbourhood samples of Beijing work as study cases. Methods include data integration and parametric modelling. Geographic and climate information, building geometries, and daylight performance are computed with the parametric-based modelling system. Experiments at various residential building cluster layouts demonstrate the usefulness of the proposed system. Results indicate that parametric technology can provide positive innovation for daylight performance evaluation and dense neighbourhood sustainability assessment.
Research on the Technology of Recovering Low Concentration Ni+ Metal Ion Solution
Authors: Chen Huige , Chen Hangyu , Chen Kechi , Wu Xinda , Zheng Wanyu , Wang Linjing
Published: December 2021

Under environmentally friendly and environmental issues, wastewater treatment in laboratories and factories is an important international issue. Among them, wastewater from the chemical industry accounts for a large part of industrial wastewater discharge. The introduction of new technologies to treat chemical wastewater is of great significance. In particular, the amount of wastewater produced by inorganic chemistry experiments is relatively large, and the pollutants are mostly heavy metal salts. According to the characteristics of inorganic chemistry experimental wastewater, such as special nature, small amount, strong discontinuity, high hazard, complex and changeable composition, etc., design a chemical reaction to provide a practical and feasible method to treat wastewater with high efficiency and low cost. This research initially takes Ni+ metal ion waste liquid as the first stage of recycling and treatment to improve the traditional low-concentration non-economic treatment. The preliminary results of this research are neutralization reaction and optimal pH value control of Ni+ waste liquid to generate Ni+ precursors to increase the economic value of recycling will be the basis for providing in-house recycling systems for electroplating plants, panel plants, and semiconductor plants to achieve emission reduction, green chemical industry and green environmental protection.
A Rhodamine-Based Probe for Detection of Nerve Agents Simulants
Authors: Zong Liang , Zhang Jingning , Li Dan , Sui Shaohui , Xiao Yanhua , Li Jian , Liu Meng , Zhuang Bo , Li Daxue , Wu Weihui
Published: December 2021

In this paper, a rhodamine-based fluorescent and chromogenic probe, N-(Rhodamine B)-lactam-2-aminobenzyl alcohol (RB-AB), was designed to detect nerve agent simulants. We firstly synthesized RB-AB probe by using rhodamine B and 2-aminobenzyl alcohol as main materials. Secondly, the RB-AB probe was applied to evaluate its ability to detect two nerve agent simulants, diethyl chloride phosphate (DCP) and methyl ethyl chloride phosphate (MECP). It was assumed that RB-AB could react with the nerve agent simulants through the benzyl alcohol group and then undergoes structural changes. As a result, the RB-AB detection solution shows fluorescent and color changes during detecting process. The maximum intensity of fluorescence emission increases with the addition of DCP or MECP in a dose-dependent manner. The LOD (limit of detection) of the probe is about 20 ppm for DCP. Moreover, a significant pink color change can be observed in the RB-AB system within a few seconds when detecting DCP or MECP. In conclusion, a rhodamine-based molecule as a fluorescent and chromogenic probe was developed for detecting nerve agent simulants. The RB-AB probe solutions can give rapid and off-on type optical changes including color and fluorescence when reacting with DCP or MECP. We anticipate that RB-AB probe can be used as a helpful tool for visual and fluorescent detection of nerve agents when meeting with terrorist attacks involving with these agents so that effective measures could be promptly taken to cope with the crises.
Air Contaminants in an Underwater Vehicle Cabin During Navigation
Authors: Fang Jingjing , Li Kexian , Xu Xinhong , Ren Xiaomeng , Jiang Lu
Published: December 2021

The purpose of this study is to study the air contaminants in the cabins of underwater vehicle. The basic data help for the better research of the underwater vehicle cabin environment standard and the control strategy. Pretreatment and analysis method of volatile organic compounds was preconcentration combined with gas chromatography under the condition of liquid nitrogen and detected by chromatography-mass spectrometry. The pollution of particles, carbon monoxide and carbon dioxide during the underwater vehicle voyage were monitored by online monitoring instrument. Altogether 34 kinds of pollution components were detected, most of which were low in concentration. Some are low olfactory threshold or high toxic components, such as dimethyldisulfide, benzene, carbon disulfide, trichloromethane, and several reached to ppm level. The contamination of the particles was mainly fine particles and part cabins exceeded the national standard of indoor air quality. The highest concentration of carbon dioxide in accommodation space exceeded the permissible concentration of atmosphere composition aboard diesel underwater vehicle compartments. The increase submerged time made the environment in the cabins deteriorate. The concentration of trace contaminants may close to or beyond the relevant standards with the prolonged time. The volatile organic compounds, particles, carbon monoxide and carbon dioxide aggravated the air circumstance in the cabins. It should be determined the permissible concentration of air contaminants in underwater vehicle as soon as possible.
Quality of Life and Health State Utilities in Bladder Cancer
Authors: Smith Angela B. , McCabe Sean , Deal Allison M. , Guo Amy , Gessner Kathryn H. , Lipman Robert , Chisolm Stephanie , Ahlschlager Lauren , Gore John L.
Published: December 2021

BACKGROUND:

Bladder cancer treatments may variably impact health-related quality of life (QOL).

OBJECTIVE:

To characterize the quality of life of patients with bladder cancer at various time points across the continuum of bladder cancer care from non-muscle-invasive disease to metastatic bladder cancer and develop utility scores to inform cost-effective analyses.

METHODS:

We performed a cross-sectional survey of bladder cancer patients in the Bladder Cancer Advocacy Network Patient Survey Network. Participants were classified into mutually exclusive health states based upon non-muscle invasive (NMIBC), muscle-invasive (MIBC), or metastatic bladder cancer and completed surveys of generic cancer and bladder cancer-specific quality of life, financial toxicity, and work impairment. We constructed generalized linear mixed models to identify patient, clinical, and treatment factors associated with quality of life over time and derived health state utilities.

RESULTS:

Among 911 self-identified patients with bladder cancer, overall QOL scores and function domains were worse among those with advanced cancer. Financial toxicity was similar among non-metastatic disease states. Work and activity impairment increased with advancing disease (13%and 12%among non-recurrent NMIBC to 63%and 31%for metastatic disease respectively; p < 0.01). On multivariable analysis, bowel-related QOL was diminished among patients with MIBC, with urinary symptoms and physical function most diminished among patients with metastatic disease. Patients with metastatic and MIBC experienced worse emotional functioning ( p = 0.04; p = 0.048). Health state utilities were calculated, highest among those with non-recurrent NMIBC and lowest among those with metastatic disease.

CONCLUSION:

Generic and bladder cancer-specific QOL diminishes with advancing disease. Health state utility estimates derived from this study can inform shared decision making with patients and may be used to inform future cost-effective analyses.
Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis
Authors: Westermann Hannes , Šavelka Jaromír , Walker Vern R. , Ashley Kevin D. , Benyekhlef Karim
Published: December 2021

Machine learning research typically starts with a fixed data set created early in the process. The focus of the experiments is finding a model and training procedure that result in the best possible performance in terms of some selected evaluation metric. This paper explores how changes in a data set influence the measured performance of a model. Using three publicly available data sets from the legal domain, we investigate how changes to their size, the train/test splits, and the human labelling accuracy impact the performance of a trained deep learning classifier. Our experiments suggest that analyzing how data set properties affect performance can be an important step in improving the results of trained classifiers, and leads to better understanding of the obtained results.
Hybrid AI Framework for Legal Analysis of the EU Legislation Corrigenda
Authors: Palmirani Monica , Sovrano Francesco , Liga Davide , Sapienza Salvatore , Vitali Fabio
Published: December 2021

This paper presents an AI use-case developed in the project “Study on legislation in the era of artificial intelligence and digitization” promoted by the EU Commission Directorate-General for Informatics. We propose a hybrid technical framework where AI techniques, Data Analytics, Semantic Web approaches and LegalXML modelisation produce benefits in legal drafting activity. This paper aims to classify the corrigenda of the EU legislation with the goal to detect some criteria that could prevent errors during the drafting or during the publication process. We use a pipeline of different techniques combining AI, NLP, Data Analytics, Semantic annotation and LegalXML instruments for enriching the non-symbolic AI tools with legal knowledge interpretation to offer to the legal experts.
Analyze the Usage of Legal Definitions in Indonesian Regulation Using Text Mining Case Study: Treasury and Budget Law
Authors: Amaludin Bakhtiar , Wardika Fitria Ratna , Mudana Putra Putu Jasprayana , Paramartha I Gede Yudi
Published: December 2021

Legal definitions are an integral part of legal drafting practice to understand legal documents easily and prevent ambiguity. This research aims to describe how legal definitions are used among regulations in the domain of Indonesian Treasury and Budget. Simple text mining techniques are used to perform and deliver the process. We extracted definitions from more than 1.362 related regulations enacted through the period 2003–2020. We found that legal definitions were used in many variations which may lead to inconsistencies.
Identification of Contradictions in Regulation
Authors: Araszkiewicz Michał , Francesconi Enrico , Zurek Tomasz
Published: December 2021

This paper presents a Semantic Web–based model for detecting contradictions in regulations. We introduce a conceptual model of contradictions and, on the basis of this model, a knowledge representation–based model is used, which is able to represent the semantics of provision types and related properties. The usefulness of the model is shown through an example.
Computability of Diagrammatic Theories for Normative Positions
Authors: Pascucci Matteo , Sileno Giovanni
Published: December 2021

Normative positions are sometimes illustrated in diagrams, in particular in didactic contexts. Traditional examples are the Aristotelian polygons of opposition for deontic modalities (squares, triangles, hexagons, etc.), and the Hohfeldian squares for obligative and potestative concepts. Relying on previous work, we show that Hohfeld’s framework can be used as a basis for developing several Aristotelian polygons and more complex diagrams. Then, we illustrate how logical theories of increasing strength can be built based on these diagrams, and how those theories enable us to determine in a computably efficient way whether a set of normative positions can be derived from another set of normative positions.
The association between the initial outcomes of COVID-19 and the human development index: An ecological study
Authors: Buheji Mohamed , AlDerazi Amer , Ahmed Dunya , Bragazzi Nicola Luigi , Jahrami Haitham , Hamadeh Randah R. , BaHammam Ahmed S.
Published: December 2021

BACKGROUND & OBJECTIVE: Outcomes of the pandemic COVID-19 varied from one country to another. We aimed to describe the association between the global recovery and mortality rates of COVID-19 cases in different countries and the Human Development Index (HDI) as a socioeconomic indicator. METHODS: A correlational (ecological) study design is used. The analysis used data from 173 countries. Poisson regression models were applied to study the relationship between HDI and pandemic recovery and mortality rates, adjusting for country median age and country male to female sex ratio. RESULTS: During the first three months, the global pooled recovery rate was 32.4%(95%CI 32.3%–32.5%), and the pooled mortality rate was 6.95%(95%CI 6.94%–6.99%). Regression models revealed that HDI was positively associated with recovery β= 1.37, p = 0.016. HDI was also positively associated with the mortality outcome β= 1.79, p = 0.016. CONCLUSIONS: Our findings imply that the positive association between the HDI and recovery rates is reflective of the pandemics’ preparedness. The positive association between the HDI and mortality rates points to vulnerabilities in approaches to tackle health crises. It is critical to better understand the connection between nations’ socioeconomic factors and their readiness for future pandemics in order to strengthen public health policies.
Blockchain oriented hyperledger based performance driven framework for mass e-voting
Authors: Donepudi Swapna , Reddy K. Thammi
Published: December 2021

Voting is a process for making collective decisions or to express a mass opinion on list of options available. It is a most commonly used instrument to elect a political representative. It is apparent that the methodology currently followed for voting in India can be improved at many levels to make it more robust and efficient. Currently, the voting methodology followed in Indian political elections has two major issues, one is high cost per voter, and low voter turnout. There are many attempts by other democratic setups to tackle this problem by offering online method of voting, but the most trustworthy and promising solution is considered to be voting platform/infrastructure backed by Blockchain. Most of the currently existing Blockchain based voting solutions are computationally expensive, doesn’t provide a verifiable secret ballot, slow, and Byzantine Fault Tolerant Proof of Work algorithms run on a public Blockchain network. The work presented in this paper aims at addressing these issues by proposing Blockchain based framework that leverages Hyperledger Fabric for Scalable Voting System. The proposed method uses Aadhar number for authentication of voters. The proposed method can efficiently cater the secure, trustworthy, and promising to Indian scale. The proposed method offers a various solution, offline and online voting with features such as cost-effective deployments, instantaneous vote counting, Cast as Intended Verifiability, and an observable and auditable architecture. The proposed method has been tested on real time setup and the experimental results are promising.
Exploiting MUSIC model to solve cold-start user problem in content-based music recommender systems
Authors: Okada Keisuke , Kanamaru Manami , Tan Phan Xuan , Kamioka Eiji
Published: December 2021

The new user cold-start problem is a grand challenge in content-based music recommender systems. This happens when the systems do not have sufficient information regarding the user’s preferences. Towards solving this problem, in this study, a rating prediction framework is proposed. The proposed framework allows the systems to predict the user’s rating scores for unrated musical pieces, by which good recommendations can be generated. The core idea here is to leverage the so-called MUSIC model, i.e., a five-factor musical preference model, which is characterized by Mellow, Unpretentious, Sophisticated, Intense, and Contemporary as the user’s musical preference profiles. When a user newly joins the systems, the first five-factor musical preference profile is established based on the user’s age and brain type information which is extracted from questionnaires. When the user experiences the systems for a certain period, his/her rating scores for experienced musical pieces are utilized for generating the second five-factor musical preference profile. The recommendations are then provided based on the rating scores predicted from a non-linear combination of these two five-factor musical preference profiles. The results demonstrated the effectiveness of the five-factor musical preference in alleviating the new user cold-start problem. In addition, the proposed method can potentially provide high-quality recommendations.
Active advanced arousal system to alert and avoid the crepuscular animal based vehicle collision
Authors: Munian Yuvaraj , Martinez-Molina M.E. Antonio , Alamaniotis Miltiadis
Published: December 2021

Animal Vehicle Collision (AVC) is relatively an evolving source of fatality resulting in the deficit of wildlife conservancy along with carnage. It’s a globally distressing and disturbing experience that causes monetary damage, injury, and human-animal mortality. Roadkill has always been atop the research domain and serendipitously provided heterogeneous solutions for collision mitigation and prevention. Despite the abundant solution availability, this research throws a new spotlight on wildlife-vehicle collision mitigation using highly efficient artificial intelligence during nighttime hours. This study focuses mainly on arousal mechanisms of the “Histogram of Oriented Gradients (HOG)” intelligent system with extracted thermography image features, which are then processed by a trained, convolutional neural network (1D-CNN). The above computer vision – deep learning-based alert system has an accuracy between 94%, and 96% on the arousal mechanisms with the empowered real-time data set utilization.
Borrelia burgdorferi Co-Localizing with Amyloid Markers in Alzheimer’s Disease Brain Tissues
Authors: Senejani Alireza G. , Maghsoudlou Jasmin , El-Zohiry Dina , Gaur Gauri , Wawrzeniak Keith , Caravaglia Cristina , Khatri Vishwa A. , MacDonald Alan , Sapi Eva
Published: December 2021

Background: Infections by bacterial or viral agents have been hypothesized to influence the etiology of neurodegenerative diseases. Objective: This study examined the potential presence of Borrelia burgdorferi spirochete, the causative agent of Lyme disease, in brain autopsy tissue of patients diagnosed with either Alzheimer’s (AD) or Parkinson’s diseases. Methods: Brain tissue sections from patients with age-matched controls were evaluated for antigen and DNA presence of B. burgdorferi using various methods. Positive Borrelia structures were evaluated for co-localization with biofilm and AD markers such as amyloid and phospho-tau (p-Tau) using immunohistochemical methods. Results: The results showed the presence of B. burgdorferi antigen and DNA in patients with AD pathology and among those, one of them was previously diagnosed with Lyme disease. Interestingly, a significant number of Borrelia-positive aggregates with a known biofilm marker, alginate, were found along with the spirochetal structures. Our immunohistochemical data also showed that Borrelia-positive aggregates co-localized with amyloid and phospho-tau markers. To further prove the potential relationship of B. burgdorferi and amyloids, we infected two mammalian cell lines with B. burgdorferi which resulted in a significant increase in the expression of amyloid-β and p-Tau proteins in both cells lines post-infection. Conclusion: These results indicate that B. burgdorferi can be found in AD brain tissues, not just in spirochete but a known antibiotics resistant biofilm form, and its co-localized amyloid markers. In summary, this study provides evidence for a likely association between B. burgdorferi infections and biofilm formation, AD pathology, and chronic neurodegenerative diseases.
Could black anti-hail net have an extra role as an amelioration agent against heat stress in kiwifruit?
Authors: Roussos Peter A. , Tsafouros Athanassios , Ntanos Efstathios , Denaxa Nikoleta-Kleio , Kosta Anna , Bouchagier Pavlos
Published: December 2021

BACKGROUND:

Kiwifruit plants are extremely sensitive to hail storms. Black anti-hail nets are the most frequently used in kiwifruit culture, to protect both the plant and current as well as future production.

OBJECTIVE:

The present trial aimed to assess if the black hail net could also serve as an amelioration agent against high temperature and irradiance during the summer months.

METHODS:

The photosynthetic capacity, the yield, and fruit quality (carbohydrates, organic acids, phenolic compounds, and antioxidant capacity) of “Hayward” kiwifruit cultivar, both at harvest and after three months of storage were evaluated.

RESULTS:

Photosynthetic capacity under the net was slightly higher compared to control, while leaf temperature was always lower during the summer and autumn. The yield was significantly enhanced under the net, while the fruits exhibited higher titratable acidity, organic acids, and ascorbic acid concentration. After the storage, fruits produced from vines grown under net still had higher organic acid content, as well as total soluble solids but lower antioxidant capacity compared to control.

CONCLUSIONS:

Net installation above kiwifruit canopy seems to alleviate the effects of high temperature and heat load on kiwifruit vines, under saturating light intensity, inducing higher yields with good fruit quality.
Research on automobile insurance fraud identification based on fuzzy association rules
Authors: Yan Chun , Liu Jiahui , Liu Wei , Liu Xinhong
Published: December 2021

With the development of automobile insurance industry, how to identify automobile insurance fraud from massive data becomes particularly important. The purpose of this paper is to improve automobile insurance fraud management and explore the application of data mining technology in automobile insurance fraud identification. To this aim, an Apriori algorithm based on simulated annealing genetic fuzzy C-means (SAGFCM-Apriori) have been proposed. The SAGFCM-Apriori algorithm combines fuzzy theory with association rule mining, expanding the application scope of the Apriori algorithm. Considering that the clustering center of the traditional fuzzy C-means (FCM) algorithm is easy to fall into local optimal, the simulated annealing genetic (SAG) algorithm is used to optimize it. The SAG algorithm optimized FCM (SAGFCM) is used to generate fuzzy membership degrees and introduces fuzzy data into the Apriori algorithm. The Apriori algorithm is improved by reducing the rule mining time when acquiring rules. The results of empirical studies on several data sets demonstrate that the optimization of FCM by SAG can effectively avoid the local optimal problem, improve the accuracy of clustering, and enable SAGFCM-Apriori to obtain better fuzzy data during data preprocessing. Moreover, the proposed algorithm can reduce the mining time of association rules and improve mining efficiency. Finally, the SAGFCM-Apriori algorithm is applied to the scene of automobile insurance fraud identification, and the automobile insurance fraud data is mined to obtain fuzzy association rules that can identify fraud claims.
New distances for dual hesitant fuzzy sets and their application in clustering algorithm
Authors: Wei Yanxia , Wang Qinghai
Published: December 2021

Compared to hesitant fuzzy sets and intuitionistic fuzzy sets, dual hesitant fuzzy sets can model problems in the real world more comprehensively. Dual hesitant fuzzy sets explicitly show a set of membership degrees and a set of non-membership degrees, which also imply a set of important data: hesitant degrees.The traditional definition of distance between dual hesitant fuzzy sets only considers membership degree and non-membership degree, but hesitant degree should also be taken into account. To this end, using these three important data sets (membership degree, non-membership degree and hesitant degree), we first propose a variety of new distance measurements (the generalized normalized distance, generalized normalized Hausdorff distance and generalized normalized hybrid distance) for dual hesitant fuzzy sets in this paper, based on which the corresponding similarity measurements can be obtained. In these distance definitions, membership degree, non-membership-degree and hesitant degree are of equal importance. Second, we propose a clustering algorithm by using these distances in dual hesitant fuzzy information system. Finally, a numerical example is used to illustrate the performance and effectiveness of the clustering algorithm. Accordingly, the results of clustering in dual hesitant fuzzy information system are compared using the distance measurements mentioned in the paper, which verifies the utility and advantage of our proposed distances. Our work provides a new way to improve the performance of clustering algorithms in dual hesitant fuzzy information systems.
A new approach to vague soft toplogical structures concerning soft points
Authors: Mehmood Arif , Al Ghour Samer , Abdullah Saleem , Park Choonkil , Rye Lee Jung
Published: December 2021

This paper concerns the study of the notion of vague soft β-open set and vague soft separation axioms in vague soft topological spaces. By using such notions and that of the vague soft pints, we study the separation axioms βi (with i = 0, 1, 2, 3, 4) in vague soft topological spaces. We give some peculiar examples about them and we prove some relationships between them. The relationship of βi (with i = , 1, 2, 3, 4) spaces with the closer of vague soft β-open set by means of soft points, vague soft countable spaces and their relationship with βi (with i = , 1, 2) spaces by means of soft points are addressed. In continuation, vague soft topological, vague soft inverse topological spaces properties, Bolzano Weirstrass Property(BVP) and its topological characteristics, compact spaces and sequentially compact spaces and their relationship with separation axioms by means soft points are addressed in vague soft topological spaces.
Analyzing and controlling computer security threats based on complex q-rung orthopair fuzzy heronian mean operators
Authors: Panityakul Thammarat , Mahmood Tahir , Ali Zeeshan , Aslam Muhammad
Published: December 2021

Certain intellectuals have generalized the principle of the fuzzy set (FS), but the theory of complex q-rung orthopair fuzzy set (Cq-ROFS) has received massive attraction from different scholars. The goal of this study is to combine the principle of Heronian mean (HM) operator with Cq-ROFS is to initiate the complex q-rung orthopair fuzzy HM (Cq-ROFHM) operator, complex q-rung orthopair fuzzy weighted HM (Cq-ROFWHM) operator, complex q-rung orthopair fuzzy geometric HM (Cq-ROFGHM) operator, complex q-rung orthopair fuzzy weighted geometric HM (Cq-ROFWGHM) operator, and their flexible and dominant properties. These operators can help to aggregate any number of attributes to determine the reliability and consistency of the investigated operators. Moreover, there are physical and non-physical threats. Physical threats cause damage to computer systems hardware and infrastructure. Examples include theft, vandalism through to natural disasters. Non-physical threats target the software and data on the computer systems. To manage such sort of troubles, we determine the analyzing and controlling computer security threats based on presented operators under the Cq-ROFS. Finally, to show the reliability and proficiency of the presented approaches, we resolved some numerical examples by using the explored operators. The comparative analysis, advantages, and graphical interpretations of the presented works are also discovered.
Radical of filters on equality algebra
Authors: Aaly Kologani M. , Hoskova-Mayerova S. , Borzooei R. A. , Rezaei G. R.
Published: December 2021

In this paper, by using the concept of maximal filter of equality algebra, we introduce radical of equality algebra. Then some equivalence definitions of it and some related properties are investigated. Then by using this notion, we introduce the concept of semi-maximal filter and prime-like filter on equality algebras and the relation between them and other filters of equality algebra are investigated. Finally, by using the notion of prime-like filters, we introduce a topology on equality algebra.