bluuebunny/crossref_metadata_2025 huggingface dataset:
The role of mud volcanism in prediction of oil-gas bearing content in deep layers of Meso-Cenozoic sediment complex of South Caspian megabasin
Authors:   “Balakhanioil” Operating Company, Gahramanov G.N. , Kerimov F.N. ,   Institute for Oil and Gas, Azerbaijan Republic
Published: September 2022

While conducting exploration surveys for new hydrocarbon fields in oil-gas bearing basins of the world, the data on the mud volcanoes in the area and their explosion is widely used. As the stage of initial activity of mud volcanoes, the source of generation, the product of explosion etc. are associated with the deep layers (7–8 km) of the Earth, this process is an essential source of information for exploration surveys. One of the original aspects of the South Caspian basin is the great amount of mud volcanoes. The study of the composition of gas masses released into the atmosphere as a result of explosion of mud volcanoes enables to make objective forecast on the gas generation zones on the deposition cover of the area and the oil-gas bearing potential as well. By the distribution areal the mud volcanoes predominantly cover oil-gas bearing zones. Thus, there are mud volcanoes on sixty basins from existing 252 oil-gas bearing zones in sedimentation basin of the Earth. Although the generation source of a great deal of mud volcanoes in Azerbaijan is principally associated with Paleogen-Neogen sedimentation complexes, a specific part of volcanic gases is supposed to belong to the Cretaceous-Jurassic sedimentation complexes (8−10 km), which increases the probability of existence of formation sources for hydrocarbon in these complexes.
The study of synthesis of asymmetric heptyloctyl ester of adipinic acid via IR spectroscopy
Authors:   Institute for Petrochemical Processes, Azerbaijan Republic, Mammadyarov M.A. , Aliyeva F.Kh. ,   Institute for Petrochemical Processes, Azerbaijan Republic, Ahmadbayova S.F. ,   Institute for Petrochemical Processes, Azerbaijan Republic, Israfilova K.O. ,   Institute for Petrochemical Processes, Azerbaijan Republic
Published: September 2022

The reaction of the synthesis of asymmetric compound ester of adipinic acid via IR spectroscopy method is studied. To research the process of obtaining mono- and diesters, the samples were taken each hour and their IR specters made. The process was observed by the decrease of the optic density of carbonyl groups of acid and by the increase of optical density of forming carbonyl groups of compound ester with additional reaction time. The interpretation of the main absorption bands in the specters of studied compounds is provided. Moreover, the physical-chemical and viscous-temperature characteristics of obtained compound were studied. Thus, analyzing IR specters and the data of changing optical density of С=О connection both as an acid and compound ester due to the synthesis time in studied samples, we can make a conclusion that the duration of reaction of the synthesis of mono- and diesters comprises 3 and 4 hours correspondingly.
The aspects affecting the level of output in petroleum machinery plants
Authors:   Azerbaijan State University of Oil and Industry, Safarov G.A. , Taghiyeva T.А. ,   Azerbaijan State University of Oil and Industry
Published: September 2022

Azerbaijan Republic is known as an oil country and therefore, petroleum machinery plants play a significant role in its economy. In the period of former Soviet Union, Azerbaijani machinery plants manufactured a great number of products providing all oil regions and countries in the Soviet Union with the output of machinery. Thus, 75−85 % of machinery demand of socialist countries was satisfied by Azerbaijan. The preparation of specialists, as well as production of high quality oil field equipment was carried out in petroleum machineries. However, the breakup of Soviet Union influenced this sphere of industry as well. Beginning from 1990s with the breach of economic relationships, existing markets were lost and this industrial area fell into a decline. After our Republic gained independence, the transition to market economy took place, a number of reforms and privatization carried out. Specifically after these measures, such public corporations as “Baku Steel Wire”, “Baku oil field equipment” and “Neftegazmash” open joint-stock companies were established. The enterprises mentioned were inaugurated to satisfy the demand of petroleum industry of Azerbaijan in oil field equipment, but they still do not function in total capacity. Alongside with it, professional staff is formed in these enterprises, necessary equipment installed and efficient activity goes on. The paper analyzes production and output, as well as the aspects affecting the level of product in mentioned joint-stock companies of petroleum machinery, the ways of increasing the efficiency of their activity marked.
Eksplorasi Keterampilan Argumentasi Ilmiah Mahasiswa melalui Media Sosial: Topik Kasus Bioteknologi
Authors: Dita Puji Rahayu  , Antuni Wiyarsi  , Amaira Utami
Published: September 2022

Penelitian ini bertujuan untuk menganalisis ketrampilan argumentasi ilmiah mahasiswa dalam mengerjakan tugas di media sosial dengan topik bioteknologi. Peserta penelitian ini adalah 38 siswa semester 5 yang sedang mengambil mata kuliah IPA sekolah III. Metode survei dengan pendekatan kualitatif digunakan dalam penelitian ini. Pertanyaan tentang argumen tentang krisis pangan dan hubungannya dengan bioteknologi diberikan di akhir kuliah bagi mahasiswa untuk merespons melalui media sosial. Penggunaan media sosial dimaksudkan untuk mengembangkan ketrampilan mahasiswa dalam berkomunikasi secara ilmiah dengan masyarakat serta membuka wawasan (literasi ilmiah) ke dalam masyarakat. Penilaian ketrampilan argumentasi didasarkan pada kategori tingkat argumentasi Toulmin yang terdiri dari lima tingkatan. Hasil penelitian menunjukkan bahwa sebagian  besar siswa (36%) masih berada di level 2, yang terdiri dari claim dan data. Berdasarkan data tersebut, dapat dilihat bahwa argumen ilmiah siswa masih relatif rendah. Mahasiswa masih kesulitan dalam menyampaikan Warrant (W), Backing (B), Qualifier (Q) dan Rebuttal (R). Keterampilan argumentasi mahasiswa masih perlu dilatih melalui perkuliahan. Beberapa temuan dan implikasi dibahas dalam artikel ini.
LITERARY-PRAGMATIC IMPACT DIMENSIONED IN HOLY QURAN OATH TECHNIQUES
Authors: Gumar Maitham Tariq , Saddam Sahan Haider
Published: September 2022

Holy Quran, according to Arab grammarians, presents a linguistic menu from which Arabic grammar orders structures with variable ingredients and flavors. Oath techniques fly with Holy Quran colorful wings manipulated pragmatically to achieve certain aims. For its poetic language and attitude, Holy Quran mixes use of linguistic techniques and poetic style, especially in reciting verses, to convey its message with clarity. This research surveys Quranic oath structures concentrating on their pragmatic meanings with an aid of poetry- like discourse. The research, through discussing verses relevant to this contextuality, concludes that use of oath techniques target the persuasion of readers to believe in certain decisions or events with a poetic atmosphere to increase heart influence.
First records of Aganainae (Lepidoptera: Erebidae) from Zanzibar Island with a description of the male of Phaegorista bisignibasis Prout, 1918
Authors: Spitsyn Vitaly M. , Spitsyna Elizaveta A. , Bolotov Ivan N.
Published: September 2022

This article presents the first report on the fauna of Aganainae (Lepidoptera: Erebidae) from Zanzibar, Tanzania. Totally, three species were recorded from the island, including Phaegorista bisignibasis Prout, 1918, a rare species, which was described on the basis of the female holotype from Tanga in northeastern Tanzania. Furthermore, we describe the male of this species and illustrate its male and female genitalia for the first time.
Neutron background of composite low-enriched uranium fuel of the IVG.1M research reactor
Authors: Irkimbekov Ruslan A. , Vurim Aleksandr D. , Bedenko Sergey V. , Surayev Artur S. , Vityuk Galina A.
Published: September 2022

IVG.1M is a research pressurized water reactor designed to use high-enriched fuel. As part of the core conversion program, the reactor will be switched to a new low-enriched composite uranium fuel. Further operation of the reactor is determined by the availability of fresh fuel to replace the core after the next campaign and the possibility of ensuring safe storage of irradiated spent nuclear fuel (SNF) unloaded from the core. The SNF storage conditions are assessed in terms of ensuring nuclear and radiation safety.

Radiation safety of the research reactor fuel storage is achieved, first of all, by solving problems of protection against γ-radiation, while neutron radiation, as a rule, is not considered due to its significantly lower intensity compared to γ-radiation. As for the new low-enriched fuel of the IVG.1M reactor, which is characterized by a set of elements with low and medium atomic masses, on which the (α, n) reaction is possible, the assessment of the neutron component is a necessary procedure to ensure safe fuel storage.

The authors of the article propose a procedure for calculating the neutron component of the radiation characteristics of fresh and irradiated composite fuel of the IVG.1M reactor, and also estimate the (α, n)-component. The results of the research will be useful in selecting SNF storage and transportation technologies as well as in providing scientific justification for the possibility of using neutron radiation to control burnup.

The research was carried out using verified computational codes MCNP5 and Sources-4C, high-precision experimental EXFOR and computational ENDSF data, as well as evaluated nuclear data libraries.
An unexpected occurrence: discovery of the genus Cybaeopsis Strand, 1907 in Europe with the description of a new species from Italy (Arachnida, Araneae, Amaurobiidae)
Authors: Ballarin Francesco , Pantini Paolo
Published: September 2022

We report on the unexpected finding of a new species of the genus Cybaeopsis Strand, 1907, C. lodoviciisp. nov. from the Northern Apennine Mountains in Italy. This is the first documented record of a Cybaeopsis species in Europe. Other currently known species of this genus have been previously recorded in North America, the Russian Far-East and Japan. The new species is illustrated and described based on both sexes. Another species from Portugal, Cybaeopsis theoblicki (Bosmans, 2021) comb. nov., recently described in the genus Callobius Chamberlin, 1947, is hereby transferred to Cybaeopsis on the basis of morphological characters. An updated key to the European genera of Amaurobiidae is provided.
Economic and Societal Inequalities in the Time of COVID-19
Authors: Isik Mehtap , Aktürk Arda Can
Published: September 2022

In this chapter, the impact of the COVID-19 pandemic on economic and social inequalities is analyzed in five dimensions: health, income, education, gender, and digital inequalities. Cases from developed countries provided as the evidence of the stimulating effects of COVID-19 pandemic on the inequalities. The requirement of emergent transformation of the traditional methods to digital ones put a certain pressure on the social and economic structures. The existing dynamics has been stimulated by the containment and closure policies of the governments. Even in the developed countries, the financial packages couldn't prevent the detrimental effects of the lockdowns on the equities and inequalities. In this chapter, these effects are discussed, and some policy recommendations are offered.
Integration with filters
Authors: Bottazzi Emanuele , Eskew Monroe
Published: September 2022

We introduce a notion of integration defined from filters over families of finite sets.  This procedure corresponds to determining the average value of functions whose range lies in any algebraic structure in which finite averages make sense.  The most relevant scenario involves algebraic structures that extend the field of rational numbers; hence, it is possible to associate to the filter integral an upper and lower standard part, which can be interpreted as upper and lower bounds on the average value of the function that one expects to observe empirically.  We discuss the main properties of the filter integral and we show that it is expressive enough to represent every real integral.  As an application, we define a geometric measure on an infinite-dimensional vector space that overcomes some of the known limitations of real-valued measures.  We also discuss how the filter integral can be applied to the problem of non-Archimedean integration, and we develop the iteration theory for these integrals.
KAMU İNTERNET VE MOBİL SAĞLIK UYGULAMALARI KULLANIM NİYETİ DEĞİŞKENLERİNİN DEĞERLENDİRİLMESİ
Authors: KARAÇADIR Vahap , SEZGİN Aykut
Published: September 2022

Bu çalışmanın amacı sağlık bilgi teknolojilerinin temel bileşenlerinden biri olan internet ve mobil sağlık uygulamalarını etkileyen değişkenleri belirlemektir. Bu doğrultuda, kamu internet ve mobil sağlık uygulamalarını kullanmaya yönelik uyumu kolaylaştıran veya kullanım direncine yol açan; performans beklentisi, çaba beklentisi, sosyal etki, teknoloji kaygısı, gizlilik endişesi ve sağlık bilinci faktörleri incelenmiştir. Isparta ili merkezinde 627 örneklem sayısıyla 18 yaş üzeri bireylerin kamu internet ve mobil sağlık uygulamalarını kullanımını etkileyen faktörlerin ölçülmesi planlanmıştır. Verilerin kodlanarak değerlendirilmesi bilgisayar ortamında Statistical Package for the Social Sciences (SPSS 28.0) paket programı ve AMOS 26.0 programı kullanılarak gerçekleştirilmiştir. Kamu internet ve mobil sağlık uygulamalarını kullanımına yönelik tutum boyutlarını ve bu boyutlar altında yer alan faktörleri belirlemek için geçerlilik ve güvenilirlik analizleri, açımlayıcı faktör analizi ve doğrulayıcı faktör analizi yapılmış ve değişkenlerin ortalama ve standart sapmaları hesaplanmıştır. Kamu internet ve mobil sağlık uygulamalarının kullanım niyetine yönelik 6 alt boyutun 25 ifadesinin güvenirliğinin Cronbach’s Alpha katsayısının 0,765 olduğu bulunmuş verilerin normal dağılıma uygun olduğu parametrik testler yapılarak belirlenmiştir. Temel bileşenler analizi uygulamasıyla açımlayıcı faktör analizinde altı faktörün (performans beklentisi, çaba beklentisi, sosyal etki, teknoloji kaygısı, gizlilik endişesi ve sağlık bilinci) ortaya çıktığı görülmüştür. Faktörlerin tümü toplam varyansın %75,08’ini açıklamaktadır.
Identification of Similarities and Clusters of Bread Baking Recipes Based on Data of Ingredients
Authors: Anlau Stefan , Lasslberger Melanie , Grassmann Rudolf , Himmelbauer Johannes , Winkler Stephan
Published: September 2022

We define the similarity of bakery recipes and identify groups of similar recipes using different clustering algorithms. Our analyses are based on the relative amounts of ingredients included in the recipes. We use different clustering algorithms to find the optimal clusters for all recipes, namely k-means, k-medoid, and hierarchical clustering. In addition to standard similarity measures we define a similarity measure using the logarithm of the original data to reduce the impact of raw materials that are used in large quantities. Clustering recipes based on their ingredients can improve the search for similar recipes and therefore help with the time-consuming process of developing new recipes. Using the k-medoid method, we can separate 1271 recipes into six different clusters. We visualize our results via dendrograms that represent the hierarchical separation of the recipes into individual groups and sub-groups.
Enhancement of Composting Methods in Solid Waste Management
Authors: S Jithendra , Godihal Jagdish H , M Mahadeva
Published: September 2022

The most pressing problem faced by any city center in India nowadays is Municipal Solid Waste Management (MSWM). Rapid urbanization and converting life have caused the era of massive amounts of garbage and waste within the city regions, so much so, over the last few years, just the managing this Municipal Solid Waste (MSW) has assumed the share of a primary organizational, economic and environmental task. Despite MSWM being a chief task of the local governments, normally accounting for a massive part of the municipal budget - about 20% to 50%, the Urban Local Bodies (ULBS) are not able to offer effective services. Most of the ULBs do now not even have dependable MSW generation estimates. Unfortunate fallout of rapid urbanization without good enough infrastructure backup is that during all Indian cities/cities, disposal of waste is carried out indiscriminately, main to stray animal menace, clogged drains and unfold of diseases. The procedure of collection, transportation, and disposal of MSW is not complete in a maximum of the towns/cities with rubbish thousands final unattended till the severity reaches unmanageable proportions. Also, the high organic content material of Indian MSW, compounded through the recent, and humid tropical weather results in the rapid decomposition of the uncollected waste and is an ever-present health risk. Municipal waste that is improperly disposed of has a severe and dangerous effect on a wide range of areas. Along with waste discarded close to rivers, lakes, and streams, trash dumped in the street or in open areas poses a threat to public health. Delivers contaminated water. When the trash is burned outside instead of being properly disposed of, pollutants are produced and hazardous gases are released into the atmosphere. Throwing no biodegradable items down open drains causes them to enter the sewer system, blocking pipes and harming the infrastructure. The risks associated with the disposal of untreated medical and commercial waste are increased by the release of pathogens and poisonous substances, which represent a serious threat not only to human life but also to that of plants and animals. The effects of trash thrown in the area go beyond just being an eyesore; entire landscapes are destroyed, and certain habitats for flora and fauna are lost. All of these issues are commonplace in India, where tremendous portions of strong waste remain uncollected within the streets, along side primary roads, in empty plots of land, on downhill slopes, and in illegal dumps.
Knowledge on Birth Preparedness among Primigravida Women Attending Antenatal Clinics
Authors:   Professor, Nootan College Of Nursing, Sankalchand Patel University Visnagar, Gujrat-384315, Sivasubramanian N.
Published: September 2022

Introduction: Birth preparedness is that the process of designing for the birth. Aim this study aimed to assess the birth preparedness knowledge, attitude and practice of primigravida women. Design: A descriptive survey approach adopted to assess the knowledge regarding birth preparedness among primigravida women. Tool: Using 20 items questionnaire was conducted in non probability convenience sampling technique. The Sample setting is chosen hospital in Visnagar. Sample Size: The sample size was 40. Result: the study identified that the 8(20% ) women having good, 27(67.5%) women have average and also the 5(12.5%) women have poor knowledge and birth preparedness among primigravida. Thus study result shows the pre test average is 11.95 and variance is 2.991.
Assessment of it Systems Architecture in the Context of Big Data Processing for Smart Cities Development
Authors: Szczepaniuk Hubert , Szczepaniuk Edyta Karolina
Published: September 2022

Effective use of Big Data can significantly support the development of smart cities and the new digital economy. The aim of the article is a multi-criteria evaluation of IT systems in terms of Big Data processing, taking into account the support for the development of smart cities. The article includes theoretical and empirical research. The adopted criteria for assessing the architecture of IT systems relate to barriers to the implementation of the digital economy in smart cities and the guidelines of international data strategies. The evaluation covered, among other things, cybersecurity and the effectiveness of organizing, storing, and producing new information. The research results allowed us to identify the key factors of Big Data processing efficiency. Based on the research results, an effective model of Big Data processing in organizations was developed. In particular, various data models were analyzed as one of the main elements of software architecture of information systems. The research also focused on data processing techniques such as data warehousing, machine learning, and distributed computing. The efficiency factors of IT systems identified in the research reduce barriers to developing global data strategies and smart cities.
Investigación Cualitativa y Sus Características dentro de las Ciencias Sociales
Authors:   AutanaBooks, Calizaya López José Manuel , Ceballos Bejarano Ferdinand Eddington , Alemán Vilca Yaneth , Pinto Pomareda Hilda Lizbeth , Miaury Vilca Ana Rosario , Cervantes Rivera Roberto , Pacheco Quico Miguel Ángel
Published: September 2022

El libro Investigación cualitativa y sus características dentro de las ciencias sociales, muestra una forma didáctica y sencilla de hacer llegar a los estudiantes y profesores, el aprendizaje de la investigación, y más específicamente, de la investigación cualitativa, que se refiere a cualidad de las personas. El libro recorre con claridad científica, el enfoque de las ciencias sociales, y su gran relevancia en los retos que enfrenta la humanidad, donde conocer las características sociales puede significar una forma de descubrir las mejores maneras de aportar a los distintos problemas de nuestro entorno.
Análisis y Evaluación de Impactos Ambientales
Authors: Cando Pacheco Sucre Samuel , Fernández Agüelles Lorenzo Ricardo , Suárez Carreño Franyelit María
Published: September 2022

Esta obra se presenta como un instrumento que puede servir de consulta para profesionales del área ambiental y para estudiantes que desean tener una perspectiva más integral de la evaluación de los impactos ambientales y de su gestión.
K-Pop dan Fandom Laki-Laki: Pengungkapan dan Identitas Diri Pecinta Boyband Korea
Authors: Juwita Sonia Ratna , Abidin Zainal , Tayo Yanti
Published: September 2022

The research entitled "Identity and self-disclosure of a fandom (phenomenological study of the identity and self-disclosure of male fandoms who love Korean Boyband in Karawang)" has an identification problem that seeks to find meaning in Korean Boyband for a man. fandoms who love Korean boybands, looking for motives to become a fandom of Korean boyband lovers, as well as finding out how to experience communication to become a male fandom of Korean boyband lovers. This is interesting because around the researcher, there are already many male fandoms who like Korean boybands, where not many know the reasons they like Korean boybands so that researchers want to examine the construction of the meaning of male fandoms who love Korean boybands. This study uses a qualitative method and a phenomenological approach, because in this study the researcher examines a phenomenon with the aim of finding the meaning of male fandom who loves Korean boybands. The research is going well, the researcher must examine it in depth so that the informant will provide true information. The theory used is Alfred Schutz's phenomenological theory which is the basis for researchers in conducting this research.

Keywords: Phenomenology, Male Fandom, Meaning
PROTOHISTORIC CULTURAL PHASES IN TELANGANA STATE: AN OVERVIEW
Authors: Venkatasubbaiah P. C.
Published: September 2022

The present paper is about an overview of Protohistoric cultural phases in the present Telangana state in southern India portraying the settled way of life of early human population practicing agriculture and animal husbandry along with ceramic production.We find permanent settlemens in the form of villages and subsequent development into Iron Age Megalithic culture. Beginning of permanent settlements during Neolithic period was, in a broad socio-cultural point of view, spread across three micro-regions, i.e., the Godavari valley comprising the districts of Adilabad, Karimnagar, Warangal, Medak, Nalgonda, Hyderabad and Khammam; the Tungabhadra valley of Gadwal taluk and Krishna valley in the Alampur and Kalvakurthi taluks of Mahabubnagar districts respectively. However, the sites located in the first micro-region did not show the evidence of ash mound tradition, denoting the middle stage of southern Neolithic culture(e.g., Polakonda C14 1405+-124 BCE or calibration of 1700-1415 BCE),whereas the second micro-region is characterized by the presence of ashmounds,e.g., Utnur,Manchanpalli, Ieeja and Talmari-Kutukunuru,belonged to the early stage of southern Neolithic culture of the period between 2920-2535 BCE(Utnur 2295 +-155, 2555+-113 and 2040+-113 BCE:Allchin 1961), whereas, the sites in the third micro-region located in the Krishna valley belonged to the Neolithic-Chalcolithic stage of both middle and later stages of southern Neolithic culture, and the overall picture of Neolithic culture can be broadly identified as early Neolithic, Neolithic (with stages I to IV) and Neolithic-Chalcolithic culture followed by Iron Age Megalithic culture broadly classified into habitation sites, habitation-cum-burial sites and burial sites based on their location alongside the drainage system of Godavari river 115 (of 6, 15 and 94 respectively), in the Krishna drainage system 396 (of 15, 111 and 270 respectively), etc. The habitations are found away from hills but invariably close to water sources, whereas, the habitation-cum-burial sites can be distinguished as a separate variety. However, those found close to water sources and the cemeteries are connected to habitations lying either at the foot-hill region or on the terrace of low-lying hill or hillocks with numerous large sized burials.
Do Women Negotiators Obtain More Equitable Results?
Authors: Adjovu Nana Amma , De Kiev Laurent Cleenewerck
Published: September 2022

This paper addresses gender balance in international negotiations and how women negotiators get equitable outcomes. The paper employs qualitative data analysis of existing literature on international negotiation and women’s role in reaching equitable outcomes. The findings show that women negotiators in top positions have produced equitable outcomes compared to their male counterparts, albeit some have failed to obtain equitable outcomes at the international level. The paper discusses factors that impact successful negotiation by women. It concludes by recommending practical ways to help reverse the trend of women’s failure to obtain equitable outcomes during negotiation
Investigation of the value-added potential of some selected freshwater cyanobacteria
Authors:   National Institute of Fundamental Studies, Hantana Road, Kandy, Sri Lanka, Bowange Tharangika K. , Hossain Md. Fuad ,   Department of Biochemistry and Molecular Biology, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh, Wijesekera Kavinda A. ,   National Institute of Fundamental Studies, Hantana Road, Kandy, Sri Lanka, Kumara K.L. Wasantha ,   Department of Agricultural Biology, Faculty of Agriculture, University of Ruhuna, Mapalana, Kamburupitiya 81100, Sri Lanka, Ratnayake R.R. ,   National Institute of Fundamental Studies, Hantana Road, Kandy, Sri Lanka
Published: September 2022

Ever growing population and environmental degradation lead to a rapid deterioration of global health, causing malnutrition and Ultra Violet radiation-induced skin damages to be more prevalent. It is critical to address these health issues quickly and sustainably. Compared to natural botanicals, cyanobacteria could be more promising due to their superior photosynthetic capabilities, rapid growth, low space and simple nutrients requirements, low capital investment, and zero environmental pollution. Therefore, this study explores the value added potential of freshwater cyanobacteria in addressing the above health issues sustainably. Eight cyanobacteria strains, isolated from freshwater reservoirs in the dry zone of Sri Lanka were analyzed for total carbohydrate, protein, macro and micro minerals using Dubois’ method, Lowry method, and Inductively Coupled Plasma Optical Emission Spectrometry. Mansur equation was applied to determine the Sun Protection Factor (SPF). Total carbohydrate and protein contents were in the range of 7.08 ± 0.32% - 53.08 ± 0.32% and 15.27 ± 0.90% - 49.77 ± 9.62%, respectively. Oscillatoriales had the highest total carbohydrate content (53.08 ± 0.32%), higher than the carbohydrate content of other previously reported Oscillatoria species. Calcium and iron were the most abundant macro and micro minerals, respectively. Oscillatoriales recorded the highest SPF (1.57 ± 0.002), whereas all the other strains had considerably greater or similar SPFs compared to other previously reported herbal extracts. Cyanobacteria with rich nutrition profiles and high SPF values may thus represent interesting alternatives for offering sustainable and ecofriendly solutions to significant health challenges associated with population growth.
Modulational Stability Analysis of Ion Temperature Gradient Mode in Electron-ion Plasma
Authors:   1Department of Physics, University of Malakand, 18000, Pakistan, Aziz K. , Zakir U. ,   Department of Physics, University of Malakand, 18000, Pakistan, Haque Q. ,   Theoretical Plasma Physics Division PINSTECH, P.O. Nilore, Islamabad, 610101, Pakistan, Haq I. ,   Department of Physics, Government Degree College, Swat, KP, Pakistan, Khan F. ,   Department of Physics, Government Degree College, Swat, KP, Pakistan
Published: September 2022

A theoretical investigation of the modulational stability of the ion temperature gradient (ITG) mode in electron–ion plasma is presented. To examine linear features of dynamic species in plasma, we used reduction perturbation to solve Braginskii’s transportation equations and get phase and group velocities. The results reveal that ion species velocities are affected by plasma factors such as ion temperature, density, and ion temperature gradient coefficient, among others. We also find a nonlinear Schrodinger equation. This equation shows that the plasma dynamics depends on the coefficients of nonlinearity and dissipation of the nonlinear Schrodinger equation. These coefficients are strongly related to the plasma variables. The present investigation may be helpful in space and laboratory plasma, e.g., fusion confinement devices.
Modeling of thermodynamic properties of Fe-Ni-C, Fe-Cr-C alloys using computational approach
Authors:   Department of Physics, University of Science and Technology Bannu, 28100, KPK, Pakistan, Shah Waseem Ullah , khan Dil Faraz ,   Department of Physics, University of Science and Technology Bannu, 28100, KPK, Pakistan, Jan Saeed Ullah ,   Department of physics, islamia college Peshawar (a chartered university) 25000, KPK, Pakistan, yin Haiqing ,   School of material science and engineering, University of Science and Technology Beijing 100083, Beijing P.R China
Published: September 2022

The paper shows the thermodynamic properties of alloys Fe-Cr-C, Fe-Ni-C system using modeling and simulation approach. The thermo-calc software with databases is utilized for calculations and results. The calculation shows alloying at (1900K-2000K) temperature range. The atmospheric pressure is kept constant 106 Pascal. The active phase at 1900K is liquid phase with 1.00 mass % for C compositions. The total Gibbs energy is found decreasing in the Fe-Ni-C system, which shows the stability of the system. The solubility of Cr is found less than the solubility of Ni in the Fe-C system as investigated during activities simulations. The enthalpy and entropy of the system is found of the near linear relation with temperature raise and coupling properties of the alloying.BCC of entropy is more responsive than BCC of enthalpy during alloying. The Fe-Ni-C shows negative deviations from Raoults law and corresponding positive deviations from vegard’s and Henry law. The withstanding phase is graphite with highest thermal expansion coefficient. The highest T-zero fluctuations is noted in the Fe-Cr-C system. The alloy shows the less solubility of the carbon at low temperature, while results the great alloying at higher temperature in the Fe-Ni-C system better industrial aspects.
Temperature data of Hyderabad from the temperature of three neighboring cities using the ANN and the multiple regression methods
Authors:   Department of Physics, Federal Urdu University of Arts Science and Technology, Karachi, Tahir Adeel , Ashraf Muhammad ,   Department of Physics, Federal Urdu University of Arts Science and Technology, Karachi, Razzak Atteeq ,   Department of Physics, University of Karachi, Pakistan, Raza Syed Masood ,   Department of Physics, Federal Urdu University of Arts Science and Technology, Karachi, Uddin Zaheer ,   Department of Physics, University of Karachi, Pakistan
Published: September 2022

The notion of this research was to find the climatological parameter of a location (whose data are notavailable) with the help of climatological parameters of its neighboring locations. In this study, we supposed Hyderabad as such a location; its neighboring cities Karachi, Badin, and Nawabshah form a triangle, and Hyderabad lies within the perimeter of the triangle. The task was to find the temperature distribution of Hyderabad using the temperatures of its neighboring cities. Two different methods, Artificial Neural Networks and multiple regression analysis, have been used to find the temperature of Hyderabad by using the temperature distribution of neighboring cities, Karachi,Nawabshah, and Badin. ANN with one hidden layer of 10 neurons is used, which connect three known temperature of Karachi, Nawabshah, and Badin to the output temperature of Hyderabad. Amultiple regression analysis with three independent variables, i.e., the temperatures of Karachi,Nawabshah, and Badin, are used to find a linear equation of multiple variables for the temperature of Hyderabad.Both ANN and multiple regression analysis produce an excellent result, and it is suggested toimplement the technique where direct measurement of the climatological data system is not present.
Today’s library psychology in the context of N.A. Rubakin’s legacy
Authors: Borodina Valentina A.
Published: September 2022

An outstanding Russian enlightener N.A. Rubakin left rich scholarly legacy related to the study of psychological and pedagogical aspects of reading. The article deals with the basic theoretical provisions of library psychology, as well as shows the relevance of this field of scholarship and practice for the libraries of today. The author outlines the future of the development of library psychology and library pedagogy in the reality of the digitalization of reading, proving that no proposals to rename library psychology to noocommunicology are tenable.
The effects of the e-tailer’s reputation, the e-tailer’s familiarity, and the relevance of the e-tailer’s social media communication on impulse buying
Authors: Akrimi Yosra
Published: September 2022

In this paper, we study how the interaction with consumers on social media impacts impulse buying using the data of 396 questionnaires. The results confirm that the e-tailer's reputation, familiarity, and the relevance of his social media communication positively impact trust and impulse buying. We have also found that social distance moderates the effect of the e-tailer’s reputation and the perceived relevance of the e-tailer's social media communication on impulse buying. Knowing how social media communication influences impulse buying enables companies to strengthen synergy between social media presence and the online store.
News versus Corporate Reputation: Measuring through Sentiment and financial analysis
Authors: Pikatza-Gorrotxategi Naiara , Alvarez-Meaza Izaskun , Río-Belver Rosa María , Zarrabeitia-Bilbao Enara
Published: September 2022

Today's companies cannot overlook their reputation if they want to continue to survive. One way to measure that reputation is through two factors: sentiment analysis of news stories in the press about those companies and the financial data of those companies. In this research, the sentiment analysis of news stories about several Euro Stoxx 50 companies for the years 2016 and 2019 has been carried out. For this purpose, the lexicon-based tools VADER and Hu Liu have been used. Then the trends of the results obtained for this  four-year period have been analyzed and compared with the trends in their operating results in the same time period.  The results obtained indicate that there is a high correlation between the sentiments reflected in the news and their operating results, i.e., when news sentiment about a company improves, its reputation also improves, and this causes its sales to increase.  The same is true in the opposite direction.
Text mining methods for innovation studies: limits and future perspectives
Authors: Cruciata Pietro , Pulizzotto Davide , Beaudry Catherine
Published: September 2022

This study offers alternative and promising approaches to word count methods, largely used to develop innovation indicators from unstructured text. We propose a method based on Information Retrieval (IR) and word-embedding models to tackle the semantic ellipsis, one of the main issues of word count methods. We test our IR model by investigating the concept of collaboration and comparing our approach with a baseline corresponding to the keyword search. To ensure the best performances, we use several ways to represent queries and documents in a vector space and three pre-trained word-embedding models. The results prove that our approach can alleviate the semantic ellipsis problem. Indeed, the IR model developed outperforms the classical keyword search in terms of F1-score and Recall. Moreover, we create a combined method that achieves the highest F1-score. These preliminary results can facilitate the creation of reliable innovation indicators from unstructured textual data substituting or complementing survey-based questionnaires.
The demand side of information provision: Using multivariate time series clustering to construct multinational uncertainty proxies
Authors: Schütze Florian
Published: September 2022

Information demand in the modern world is met to a huge extent by information supply from the search engine Google. Humans use the search engine to gather information which shall help to reduce perceived personal uncertainty about a specific subject. Google Trends is providing insights into this information demand in a timely manner and for a variety of different countries. In this paper, multinational Google Trends data and unsupervised learning techniques are used to construct meaningful country clusters resembling the economic, geographic and political relationships of the considered countries. Additionally, these clusters are stable over time. Under the assumption that an increase in Google search requests reflect elevated uncertainty, the cluster information is used to construct economic and political uncertainty time series for 43 different countries. This uncertainty index Granger causes quarterly GDP growth in more countries compared to an existing multinational uncertainty index proofing its usefulness in the field of forecasting. Furthermore, the new index is available up to a daily frequency and can be applied to additional countries and regions.
Machine Learning and MADIT methodology for the fake news identification: the persuasion index
Authors: Turchi Gian Piero , Orrù Luisa , Moro Christian , Cuccarini Marco , Paita Monia , Dalla Riva Marta Silvia , Bassi Davide , Da San Martino Giovanni , Navarin Nicolò
Published: September 2022

The phenomenon of fake news has grown concurrently with the rise of social networks that allow people to directly access news without the mediation of reliable sources. Recognizing news as fake is a difficult task for humans, and even tougher for a machine. This proposal aims to redesign the problem: from a check of truthfulness of news content, to the analysis of texts’ persuasion level. That is how information is introduced to the reader, assuming that fake news is aimed at persuading towards the reality of sense they intend to convey. M.A.D.I.T. methodology has been chosen. It is useful to describe how texts are built, overcoming the content/structure analysis level and stressing the study of Discursive Repertories: discursive modalities of reality of sense building, classified into real and fake news categories thanks to the Machine learning application. For the dataset building 7,387 news have been analysed. The results highlight different profiles of text building between the two groups: the different and typical discursive repertories allow to validate the methodological approach as a good predictor of the persuasion level of texts, not only of news, but also of information in domains such as the economic financial one (e.g. GameStop event).
Monitoring the survival of subscribers in a marketing mailing list
Authors: Marletta Andrea
Published: September 2022

The statistical literature proposed many contributions about survival analysis in medical research, in this work this approach is proposed in a business context. The aim of this paper is to control the mortality of the users belonging to an e-mail subscribers list for a company operating in the healthcare information sector. Having available the survival times for each subscriber, the choice was oriented to survival models to evaluate the abandon of the customers. A survival analysis was conducted through a Cox model considering some risk factors of the subscriber. The selected Cox model carried to the identification of risk profiles representing different situations in terms of probability of abandon.
Digital Ethnography Redux: Interpreting Drone Cultures and Microtargeting in an era of Digital Transformation
Authors: Beesley David , Mount Gavin
Published: September 2022

This paper affirms and demonstrates the application of digital ethnography methodologies to two digitally transformative phenomena that are fundamentally enmeshed in the public sphere: personal drones and microtargeting. We review recent methodological studies on digital ethnography that can be delineated into three forms: research that is online or remote by necessity because of physical distance between researcher and participants; research that uses natively digital tools to study phenomena (Rogers 2013; Fish 2019) and research focused on digital cultures (Markham 2020). Our application of digital ethnography is further informed by qualitative ethnographic research undertaken by Horst, Pink, Postill and Hjorth (Horst, et al., 2016); and Manovich’s work on the application of digital ethnography to examine automation and big data (Manovich & Arielli, 2022). Beesley (forthcoming) utilises longitudinal visual ethnography as a lens to understand consumer drone cultures and disentangle the multiple narratives surrounding these disruptive technologies. Mount (2020), utilised digital ethnography to review two decades of microtargeting activities, employed by Strategic Communication Laboratories and Cambridge Analytica, to influence electoral behaviour. This methodological research will be combined with our conceptual swarm hermeneutics framework (Mount & Beesley, 2022) to develop scenario based simulations that will further evaluate interpretive schemas and behaviours.
Applying NLP techniques to characterize what makes an online review trustworthy
Authors: Olmedilla Fernández María , Romero José Carlos , Martínez-Torres Rocío , Toral Sergio
Published: September 2022

Users spend a significantly amount of time reading and exchanging reviews online in e‑commerce and eWOM communities that help them with their purchase decisions. Source credibility theory is gaining more importance as some online reviews are currently being damaged by those fake reviews that promote an untruthful image not only of the products but also of those online websites. Thus, trustworthiness of online reviews is a key aspect not only for the users that want to make more informed decisions regarding the products, but also for the websites whose credibility might be affected. In this regard, this study proposes a classification system using two Natural Language Processing (NLP) models that can predict trustworthy online reviews (helpful and truthful) applied to the product category “Cell phones & accessories” of Amazon. After using a keyword extractor among those trustworthy online reviews we can characterize their most important features. The results reveal that those features are related to brands, physical and technical features and the UX of the mobile phones.
Emergency Calls in the City of Vaughan (Canada) During the COVID-19 Pandemic: A Spatiotemporal Analysis
Authors: Solis Adriano O. , Asgary Ali , Khan Nawar , Wimaladasa Janithra , Sabet Maryam S.
Published: September 2022

The COVID-19 pandemic has required governments to introduce various public health measures in order to contain and manage the pandemic’s unprecedented impacts in terms of illnesses and deaths. This study analyzes the spatiotemporal distribution of emergency incidents in Vaughan, a medium-sized city in the Canadian province of Ontario, comparing occurrences prior to and during the pandemic. Emergency calls received and responded to by the Vaughan Fire and Rescue Service were examined using spatial density and emerging hotspot analysis based on 11 periods of various public health measures and restrictions set in place from 17 March 2020 to 15 July 2021, as compared with corresponding pre-pandemic periods in the preceding three years (2017-2019). The resulting analyses show significant spatiotemporal changes in emergency incident patterns, particularly during periods of more stringent public health measures such as ‘stay at home’ orders or lockdowns of nonessential business establishments. Results of the study could provide useful insights for managing emergency service resources and operations during public health emergencies.
Understanding the effects of Covid-19 on P2P hospitality: Comparative classification analysis for Airbnb-Barcelona.
Authors: Argente del Castillo Martínez Juan Pablo , Albaladejo Isabel P.
Published: September 2022

The Covid-19 pandemic has produced significant changes in tourism markets around the world. The large amount of data available on the Airbnb platform, one of the world's largest hosting services, makes it an ideal prospecting place to try to find out what the aftermath of this event has been. This paper explores the entire Airbnb housing stock in the city of Barcelona with the aim of identifying the key characteristics of the homes that have remained operational during the 2019-2021 period. We carried out this analysis by using two classification methods, the random forest and logistic regression with elastic net. The objective is to classify the houses that have remained on the platform against those that have not. Finally, we analyze the results obtained and compare both the general performance of the models and the individual information of each variable through partial dependence plots (PDP). We found a better performance of Random Forest over logistic regression, but not significant differences in the relevant variables chosen by each method. It is worth noting the importance of the geographical location, the number of amenities in the home or the price in the survival of the homes.
Simulating the inconsistencies of Google Trends data
Authors: Cebrián Eduardo , Domenech Josep
Published: September 2022

Google Trends (GT) allows users to obtain reports of the evolution of the popularity of searchers made through the Google Search engine. Its main output is the Search Volume Index (SVI), a relative measure of the popularity of a term, which is computed using a sample of the searches. Due to the sampling error, the reports are not completely consistent, as the same query produces different time series that can widely change from day to day. This paper simulates the process of generating the SVI time series in the same way as GT does. By doing this, it has been shown that the sampling error could be an important issue if the popularity of the term under study is relatively low. Averaging multiple extractions from GT can only partially alleviate this.