bluuebunny/crossref_metadata_2025 huggingface dataset:
IDENTIFIKASI KESALAHAN SISWA MEMAHAMI KONSEP MATEMATIKA PADA MATERI KUBUS DAN BALOK
Authors: Hidayat Albar , Indrawati Nenny , Aprisal Aprisal
Published: May 2022

This study aims to identify errors and factors that cause students' errors in the understanding concept of cubes and blocks. The subjects of this study were students of class VIII in SMPN 2 Pangale as many as 31 students. The study subjects were chosen to represent the students' ability levels, namely high, medium, and low categories. The instruments in this study were concept understanding tests and interview guidelines. Data analysis techniques used in this study include data reduction, data presentation, and drawing conclusions. The results of data analysis showed that students' errors in solving cube and block problems were in the medium category. Types of errors and factors that cause students to understand the concept of cubes and blocks are error in understanding the meaning of the problem and error in using the concept of the variable used. which contains (reading errors and errors in understanding the problem), incorrectly writing the formula, error in using theorem or definition to solve the problem, and not answering the question so that there is no solution to the problem or an error in writing the answer. The factors are preconceptions or students' initial concepts, student learning interests, student abilities, and context.
EKSPLORASI ETNOMATEMATIKA PADA BENTUK ANYAMAN ENDE
Authors: Dhiki Yasinta Yenita , Bantas Maria Goreti Diciloam
Published: May 2022

The purpose of this study is to explore the ethnomathematical concepts contained in the woven form of the Ende tribe. This type of research is exploratory research using an ethnographic approach. The subjects in this study were woven gedek and khidhe craftsmen, mothers who used to make plaits in Rewa Rangga Village, Ende Regency. The instruments in this research are field study interviews and documents. Data analysis used is a triangulation technique. The results showed that there were geometric shapes in woven shapes and motifs. Geometric shapes that are explored are building spaces: beams; flat shapes: circles, regular hexagons, rectangles, and rhombus.
PEMBELAJARAN KONTEKSTUAL BERBASIS ETNOMATEMATIKA DALAM MENINGKATKAN HASIL BELAJAR SISWA DITINJAU DARI KEMAMPUAN MATEMATIS
Authors: Naja Finsensius Yesekiel , Mei Agustina , Sa'o Sofia
Published: May 2022

Learning mathematics must be related to the real context of everyday life. Contextual learning is learning within the context of everyday life, ethnomathematics is the knowledge that links mathematics with cultural elements, and ethnomathematics is the concept of knowledge about the development of mathematics in various cultures. This study aims to improve students' activities and learning outcomes through ethnomathematical-based contextual learning in terms of students' mathematical abilities. This type of research is classroom action research with four stages, namely planning, implementation, observation, a reflection which is carried out in two cycles. Data were obtained from instruments in the form of rubrics for assessing students' mathematical abilities and tests to determine student learning outcomes. The subjects in this study were class VII students of SMP Negeri 2 Ende Selatan, totaling 20 people. The data analysis technique used a comparative descriptive technique between cycles. The results showed that: (1) there was an increase in students' mathematical abilities from the initial conditions, cycle 1, and cycle 2. In the initial conditions students' mathematical abilities averaged 48%, with the implementation of the model in cycle 1 65%, and in cycle 2 80 %. (2) student learning outcomes have also increased. In the initial condition, only 37% of students experienced completeness, in cycle 1 it increased to 65% of students who completed, and in cycle 2 it increased to 86%.
ANALISIS KESULITAN GURU DI MASA NEW NORMAL PADA SDK ENDE 8
Authors: Suryani Lely , Jago Tute Kristianus , Nduru Maria Purnama
Published: May 2022

This research is motivated by the lack of optimal learning that takes place in schools due to the Covid 19 Pandemic. Learning involving teachers and students must be carried out not as usual because activities that gather many people must be avoided. Therefore, this study aims to analyze the difficulties of teachers in carrying out the learning process in the new normal due to covid 19. The type of research used is descriptive qualitative with data collection techniques in the form of interviews, observation, and documentation. The subjects in the study were 1 principal and 3 homeroom teachers for grade 1 and 3 students. The results showed that in order for learning to run optimally in the new normal with limited face-to-face, the principal and teachers made strategies with careful planning. This careful planning starts from preparing a Learning Implementation Plan that is in accordance with new normal conditions by condensing the material, namely conveying important points and giving assignments by emphasizing the completion of practice questions, and the teacher also conducts daily tests, mid-semester assessments. and end of semester assessment. Before the face-to-face meeting took place, the school also carried out procedures in accordance with the health protocol.
Modeling vocabulary size using many-faceted Rasch measurement
Authors:   Fukuoka University, Holster Trevor , Lake J ,   Fukuoka Jogakuin University
Published: May 2022

Research into second-language vocabulary size has suffered from inattention to psychometric issues, with ordinal-level raw scores often analyzed as if they represented ratio-level measurement. Additionally, contextual effects have been largely ignored, leading to concern over the interpretation of research findings. This study used many-faceted Rasch measurement to analyze vocabulary data from 1,872 Japanese university students. A test of word synonymy was linked to the Vocabulary Size Test, and the contextual variables of item position and time of administration analyzed as measurement facets. Major findings were that data-model fit was sufficient to allow local linking of different item types and contextual variables, allowing meaningful comparison of results and score gains on a scale of vocabulary size, and that item placement within a test form had a substantive effect on item difficulty.
CAPPARIS SPINOSA EXTRACTS
Authors:   3rd Year Student Of The Faculty Of Industrial Pharmacy, Tashkent Pharmaceutical Institute, Uzbekistan, Shavkat O‘G‘Li Fayzullayev Jahongir
Published: May 2022

This article describes in detail where the capparis spinosa plant is found, its medicinal properties and methods of extracting it.
ATROPA BELLADONNA, DEADLY NIGHTSHADE AND ITS PECULIARITIES
Authors:   3rd Year Student Of The Faculty Of Pharmacy, Tashkent Pharmaceutical Institute, Uzbekistan, Azamat Kizi Khamroeva Sarvinoz
Published: May 2022

The Deadly Nightshade, Atropa belladonna, is a plant surrounded by myth, fear and awe. In antiquity, the Greeks and the Romans knew that it contained a deadly poison. In medieval times, it was widely used by witches, sorcerors and professional poisoners. Linnaeus later codified its remarkable properties as the genus Atropa, the Fate that slits the thin spun life and the species belladonna because of its power to dilate the pupils. In the 1830s, the pure alkaloid l-atropine was isolated from the plant. This proved to be a significant tool in the study of the autonomic nervous system leading to the identification of acetylcholine as an important neurotransmitter in mammals.
PEMBERDAYAAN MASYARAKAT DESA LANGGAR, KECAMATAN KEJOBONG, KABUPATEN PURBALINGGA MELALUI PENGEMBANGAN BETERNAK KAMBING SECARA INTENSIF
Authors: Suwarno  , Suwarsito  , M. Agung Miftahuddin
Published: May 2022

Permasalahan yang dihadapi peternak kambing Desa Langgar, Kecamatan Kejobong, Kabupaten Purbalingga adalah pertumbuhan dan perkembangbiakan kambingnya lambat dan sering terserang penyakit kudis. Para peternak masih beternak kambing secara tradisional dan tidak dilandasi dengan pengetahuan dan keterampilan beternak kambing yang memadai. Tujuan kegiatan pengabdian masyarakat ini adalah untuk mengembangkan beternak kambing secara intensif di Desa Langgar, Kecamatan Kejobong, Kabupaten Purbalingga. Pelaksanaan kegiatan pengabdian masyarakat menggunakan metode pemberdayaan masyarakat dengan cara alih teknologi melalui kegiatan pelatihan dan pendampingan. Kegiatan pelatihan meliputi pelatihan pembuatan pakan ternak dengan metode fermentasi dan  pengendalian penyakit pada ternak kambing. Kelompok sasaran kegiatan pengabdian masyarakat adalah peternak kambing warga Muhammadiyah di Desa Langgar, Kecamatan Kejobong, Kabupaten Purbalingga. Jumlah kelompok sasaran sebanyak 10 orang. Hasil kegiatan pengabdian masyarakat adalah mampu meningkatkan pengetahuan dan keterampilan anggota kelompok peternak kambing di Desa Langgar, Kecamatan Kejobong, Kabupaten Purbalingga dalam beternak kambing secara intensif. Pelatihan beternak kambing secara intensif dan upaya menanggulangi penyakit pada kambing, serta pembuatan pakan ternak fermentasi telah memberikan tambahan pengetahuan bagi peternak kambing untuk mengembangkan usaha beternak kambing melalui pemanfaatan teknologi baru.
CLINICAL PHARMACY ACTIVITIES IN END STAGE RENAL DISEASEAND OUT PATIENT DIALYSIS IN A TERTIARY CARE HOSPITAL
Authors:   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P), GOWTHAMI B , YASWANTH M ,   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P), BHAVYA TEJESWI P ,   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P), DILEEP SADGUNA S ,   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P), SARAN KUMAR S ,   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P), VENKATESH P ,   Department of Pharmacy Practice, Jagan’s institute of pharmaceutical sciences Nellore-524 346. (A.P)
Published: May 2022

Dialysis is a treatmentthat filters and purifies the blood using a machine. This helps keep your fluids and electrolytes in balance when the kidneys can’t do their job. The clinical pharmacy activities in End Stage Renal Disease and Out Patient Dialysis in Jayabharath hospital Nellore. To evaluate the clinical pharmacy activities in end stage renal disease and outpatient dialysis in a tertiary care hospital. Totally 70-100 patients with ESRD and dialysis in the age group of 30 to 60 enrolled in the study and 70 patients with ESRD where included in the study. Evaluation included thecollection of laboratory data, efficacy assessment of decrease in GFR, persistent proteinuria and kidney failure in ESRD and dialysis and due to clinical pharmacy activities increase life span of patients. Totally 30 subjects had low GFR and 28 subjects had proteinuria. Clinical pharmacy activities significantly reduced the incidence low GFR and Proteinuria to 5 and 7 respectively Clinical pharmacy play a significant role in relieving the symptoms of End Stage Renal Disease (ESRD) and Dialysis. Recent researches and the outcomes of this study have suggested that a more comprehensive investigation must be performed to determine the role of clinical pharmacy activities in ESRD and Dialysis. Clinical pharmacy significantly reduced symptoms of ESRD and Dialysis. Clinical pharmacy significantly reduced symptoms of ESRD and Dialysis. And also, it willbe helpful to patient regarding disease and treatment. It also significantly increased the livebirth rates. Key words: ESRD, Dialysis, GFR, Proteinuria, Kidney failure
A Survey of Native Medicinal Plants in the Kandaripadam, Thenhipalam Village, Malappuram District, Kerala
Authors:   M.Sc Botany, Department of Botany, Nirmala College for Women,Coimbatore- 641018.Tamil Nadu, India., Anupriya K T , Danya U ,   Assistant Professor, Department of Botany, Nirmala College for Women, Coimbatore- 641018.Tamil Nadu, India.
Published: May 2022

Assistant Professor, Department of Botany, Nirmala College for Women, Coimbatore- 641018.Tamil Nadu, India.
STUDIES ON PHYTOCHEMICAL ANALYSIS, ANTIBACTERIAL AND ANTIOXIDANT ACTIVITIES OF LEAF EXTRACT OF HYPTIS SUAVEOLENS (L.) POIT.
Authors:   Department of Botany, Nirmala College for Women, Red fields, Coimbatore - 641 018, Prabhakaran Arya , Prathyusha P ,   Assistant Professor, Department of Botany, Nirmala College for Women, Red fields, Coimbatore – 641 018
Published: May 2022

Hyptis suaveolens (L.) Poit., an invasive weed species belongs to the family Lamiaceae is collected from Narimalamkunnu, a small hilly area located near Kumaranellur in Palakkad District, Kerala. Phytochemical analysis was done as per standard procedure. Antibacterial activity detected by using well diffusion method and antioxidant activity can be studied using the assays such as DPPH, FRAP and H2O2 radical scavenging activity. Methanolic extract of leaf of H. suaveolens shown the presence of carbohydrates, reducing sugars, proteins, amino acids, flavonoids, cardiac glycosides, saponins, phenolic groups, terpenoids, tannins and steroids. The antibacterial activities are studied by using four susceptible pathogens at different concentrations and significant activity was recorded. The methanol extract of leaf of H. suaveolens possess high radical scavenging activity also. We can suggest it as a potent indigenous drug for curing oxidative stress related diseases. Key words: Antibacterial activity, Antioxidant activity, Hyptis suaveolens, Phytochemicals
MOLECULAR DOCKING AND IN-SILICO ADMET ANALYSIS OF POTENTIAL ANTIVIRAL COMPOUNDS FROM Calophyllum inophyllum L. AND Selaginella bryopteris L. AGAINST COVID-19 MAIN PROTEASE
Authors:   Department of Botany, Nirmala College For women Coimbatore, Tamilnadu, India-641018, Safoora K V , Suganthi A ,   Assistant Professor, Department of Botany, Nirmala College For women, Coimbatore Tamilnadu, India-641018
Published: May 2022

The SARS-COV-2 produced the severe acute respiratory disorders;(Coronavirus 2019[COVID -19] which is responsible for the global pandemic. Despite extensive research, there are still no specific drugs or vaccines to combat SARS-COV-2 infection. Amentoflavone compounds and its four derivatives (Isochamaejasmin ,Sikokianin B, Wikstaiwanone B ,Wikstaiwanone A ) were selected from Calophyllum inophyllum and Selaginella bryopteris. Five plant based anti viral compounds have been selected to examine the inhibitory profiles Via Molecular docking and ADMET analysis by using iGEMDCK Software and ADMETlab2.0 Respectively, for the evaluation against Covid-19 Main protease. This study results have shown very good interaction of plant compounds against the drug targets and H bonds have also formed to enhance the binding complex stability. Among the five compounds, higher binding value compounds have rejected, these compounds are not acceptable for Lipinski’s rule of five, therefore there are risk factors for the intake of these antiviral compounds.From this is study we can conclude that these compounds cannot be consumed. Keywords: COVID-19; SARS-COV-2; Main Protease; Molecular Docking; Selaginella bryopteris ; Calophyllum inophyllum , iGEMDOCK,ADMETlab 2.0.
ANATOMICAL AND PHYTOCHEMICAL STUDIES ON CALOPHYLLUM INOPHYLLUM FRUIT SEED
Authors:   Department of Botany, Nirmala College for Women, Coimbatore, Tamil Nadu, India., Muthusneka S , Kousalya L ,   Department of Botany, Nirmala College for Women, Coimbatore, Tamil Nadu, India.
Published: May 2022

Moringa (Moringa oleifera Lam.) is an incredible plant to humans because of its pharmacognostic and nutraceutical properties. Moringa oleifera contains vital nutrients such as minerals, vitamins and phytochemicals such as tannins and flavonoids. The present work aims to study the optimization and quality attributes retention in moringa flower through freeze dryer (FD) because the conventional drying process takes more time and energy which also affects the product quality and safety. Different solvents, such as ethanol, chloroform, hexane, acetone and ethyl acetate, were used to determine the presence of phytochemicals (alkaloids, tannins, flavonoids, steroids, terpenoids and saponins) in the moringa flower. From Qualitative and quantitative screenings of moringa flower, the phytochemicals were highly present in methanol and ethanol extracts. Dried moringa flower powder was prepared by using fresh moringa flower, steam blanched for 2-5 min and then sulfated at 0.1 % for 10 min. After that, the dehydration process was performed at different temperatures (45, 55 and 65°C) in an FD drier. FD dried moringa flower powder at 55⁰C was found maximum physicochemical properties and higher retention of phytochemical with special reference to β – carotene (55.41 mg), total antioxidant (460.18 mg), flavonoids (19.34 mg/RE), phenol (234.13 mg/GAE), vitamin C (485.09 mg). Keywords: Moringa flower, Freeze dryer, nutraceutical and phytochemicals.
The effect of different drying temperatures, phytochemical and nutrient retention in freeze dried Moringa flowers (Moringa oleifera L.)
Authors:   Department of Food Science and Nutrition, Community Science College and Research Institute, Tamil Nadu Agricultural University, Madurai, Pandidurai G , Amutha S ,   Department of Food Science and Nutrition, Community Science College and Research Institute, Tamil Nadu Agricultural University, Madurai, Kanchana S ,   Department of Food Science and Nutrition, Community Science College and Research Institute, Tamil Nadu Agricultural University, Madurai, Vellaikumar S ,   Department of Biotechnology, Agricultural College and Research Institute, Madurai, Prabhakaran K ,   Department of Social Science, Agricultural College and Research Institute, Killikulam
Published: May 2022

Moringa (Moringa oleifera Lam.) is an incredible plant to humans because of its pharmacognostic and nutraceutical properties. Moringa oleifera contains vital nutrients such as minerals, vitamins and phytochemicals such as tannins and flavonoids. The present work aims to study the optimization and quality attributes retention in moringa flower through freeze dryer (FD) because the conventional drying process takes more time and energy which also affects the product quality and safety. Different solvents, such as ethanol, chloroform, hexane, acetone and ethyl acetate, were used to determine the presence of phytochemicals (alkaloids, tannins, flavonoids, steroids, terpenoids and saponins) in the moringa flower. From Qualitative and quantitative screenings of moringa flower, the phytochemicals were highly present in methanol and ethanol extracts. Dried moringa flower powder was prepared by using fresh moringa flower, steam blanched for 2-5 min and then sulfated at 0.1 % for 10 min. After that, the dehydration process was performed at different temperatures (45, 55 and 65°C) in an FD drier. FD dried moringa flower powder at 55⁰C was found maximum physicochemical properties and higher retention of phytochemical with special reference to β – carotene (55.41 mg), total antioxidant (460.18 mg), flavonoids (19.34 mg/RE), phenol (234.13 mg/GAE), vitamin C (485.09 mg). Keywords: Moringa flower, Freeze dryer, nutraceutical and phytochemicals
In Silico Basis to Understand the Molecular Interaction of Human NNATGene With Therapeutic Compounds of Anorexia Nervosa
Authors:   Department of Biochemistry, Dow Medical College, Dow University of Health Sciences, Pakistan, Azmi Muhammad Bilal
Published: May 2022

Introduction: Anorexia nervosa (AN)– a perplexing heritable, psychiatric eating disorder condition characterized by low body weight. The prevalence of AN is found to be high in younger age adults with a raised mortality rate. Genetic studies have been insufficient in identifying the role of specific genes that predispose an individual to AN. Objectives: The objective was to explore the role of NNAT (neuronatin) gene variants and its structure based molecular interactions with therapeutic compounds of AN. To investigate the role of structural missense pathogenic variants (SNPs: single nucleotide polymorphism) or change in the expression of NNAT with possibility of AN. Methodology: NNAT gene protein coding sequence, SNPs were extracted and validated from public databases. Gene to gene interactions, protein localization and human tissue-specific expression analysis of NNAT gene showed highest tissue-specific expression in the brain. Estimates of functional impact of SNPs using transcript sequence and machine learning based approaches (in silico algorithms) were computed to investigate the pathogenicity and protein stability of NNAT variants. Sequence alignment, ab initio 3D structure-modeling of wild-type, validation and recognition of binding cavities of NNAT through in silico web based tools were performed. Alternate model prediction for NNAT variants through residue specific mutation approach and structural validation were also done through Chimera tool. The 3D compounds involved in the management of AN were extracted from the Drug Bank database, afterwards energy minimization and rule of drug-likeness were performed. The eligible 3D compounds were docked with identified variants, to evaluate the drugs binding molecular mechanics. Results & Conclusion: Overall, 10 NNAT missense variants were extracted on the basis of minor allele frequency (MAF < 0.001) and other consequence types. Further three variants were selected among ten according to the transcript sequence, which includesrs542858994 (F26L), rs539681368 (C30Y) and rs542858994 (F53L). Structures for these variants’ protein were generated, validated and docked with AN drugs. The functional impact analyses of selected missense SNPs of NNAT showed high risk pathogenicity and can cause changes in the physical and chemical properties of amino acids, thus affecting the function of protein. The computation of binding energies of variants of NNAT with AN compounds strengthen the hypothesis that these variants strongly interact with the AN drugs, hence reducing the level of free NNAT as well as target drugs, for neuronal functioning. Therefore, constitutionally reduced level of NNAT and binding of NNAT variants with AN drugs may serve as the basis to increases the susceptibility towards AN.
Development of Fabric Dye Using Bacterial Pigments
Authors: Shahzad Mariyam
Published: May 2022

The wastes from industries which produce textile dyes using toxic chemicals and processes pose serious threats to the environment that are often very difficult to treat and dispose. Certainly, there is a need of environment conservation, and more research should be done in order to save it. Therefore, the prime focus of this study is producing microbial dyes as advanced alternative to make dyes from pigments naturally produced by non-pathogenic bacteria which contain carotenoids and astaxanthin.
Phytochemical Constituents and Anticogulant Activities of Trigonella Foenum Graecum L. and Cinnamomum Cassia L. Extracts
Authors: Benmakhlouf Zoubida , Karima Bouassaba  , Rabah Kellab
Published: May 2022

Medicinal plants have been used for treatment of human ailments since ancient times. New alternative anticoagulant molecules can be obtained from plants which are rich in polyphenols and flavonoids. This study was designed to evaluate phytochemical constituents and the anticoagulant effect of T. foenum graecum L. and C. cassia L. ethanolic extracts. The quantitative analysis by the colorimetric method showed that ethanolic extracts of these species were found to be rich in bioactive molecules such as polyphenols, alkaloids, concentrated tannins, mucilage, flavonoids, saponosides, amino acids, cardiac glycosides and anthraquinones that can be used as phytomedicine for various diseases. The anticoagulant activity of ethanolic extracts of these species was also evaluated in vitro using the Quick time test (TQ). The results of the analysis of variance showed that the two extracts had a very highly significant effect on the rate of Quick time. It appears from the results found during the evaluation of the in vitro anticoagulant activity of various extracts of that species should be prescribed with care to patients on anticoagulant therapy.
The Role of Medicinal Plants as Antimicrobial in Saudi Arabia
Authors: Alsalamah Sulaiman A.
Published: May 2022

Multi-drug bacteria (MRSA) have become a series of health problems globally. Bacterial antibiotic resistance is developed their strategies in resistance mechanisms last decade; furthermore, this change in bacteria needed more attention and additional effort to discover effective materials used as antimicrobial. This review aims to screen the research done about medicinal plants used as antimicrobial in Saudi Arabia; in this review, we collected from three electronic database, Web of Science, PubMed and Google scholar databases, considering all the articles published in last years, and met criteria. The keywords were used“ medicinal plant,” “inhibition ” and “antibacterial activities ” “flora in KSA ” that used plants as an antimicrobial against high resistance bacteria and fungi in the last ten years. The study found that when, collected 157 articles from which 88 matching were excluded. Out of 69 publications, only 36, or 22.9%, met the criteria applied in this review. About 34 families of plants spacially Lamiaceae, Asteracea and Apocynaceae were most used and 103 species that were used against resistance gram-positive and negative bacteria and some pathogenic fungi. Most of the extracts were methanolic extras with a percentage of 49%, followed by ethanoic, essential oil, aqueous, acyl acetate, and hexane. The arid dry part was highly used when we observed, and leaves, flowers and stems, and roots were low. This highlighting used standards laboratory methods for the evaluation of plant extracts. Number of articles used plants as antimicrobial activities has increased siginficatly in last ten years.
Food behavior of the Algerian population at the time of the Covid-19: The first survey carried out in the western Algerian region
Authors: ZIAR Hasnia , Fetouch Malika , Keddar Kawtar , Belmadani Noussaiba , Amtout Lamia , Riazi Ali
Published: May 2022

The world has been dealing with a coronavirus 2019 (COVID-19) pandemic since January 2020, which is caused by the severe acute respiratory syndrome coronavirus 2. To avoid the spread of the disease, drastic measures were implemented. These measures, however, can have a negative impact on people's health because they influence their behavior. The COVID-19 pandemic has had an impact on people's lifestyles, including food consumption, when combined with quarantine measures. In order to shed light on the Algerian population's food habits during the pandemic, an observational and descriptive epidemiological study on 640 people, whether or not they were infected with COVID-19, was conducted in the western region of Algeria. The study used an online and face-to-face interview questionnaire focused on the pandemic's elapsed period between February and September 2020. Our findings showed that half of our participants had influenza during the study period, but only 37.53 % of them had COVID-19. As a result, almost all of our test-positive respondents (95 %) followed a medical protocol automatically. Furthermore, 31.57 % of them stated that they were following a specific diet to avoid COVID-19 contamination. This resulted in a clear shift in Algerian cuisine (70.31 %), with processed foods (3.47 %) and modern dishes (5 %) made outside the home consumed at low levels, while consumption of vegetables (22.39 %), fruits (15.87 %), and traditional dishes (11.95 %) increased. Vulnerable people, such as breastfeeding mothers, were faced with the double burden of nourishing their babies while being Covid-positive, causing 35/40 cases to discontinue breastfeeding completely. Overall, 83.09 % of our participants were malnourished. This study is the first draft in the understanding of Algerians' dietary behavior during the COVID-19 pandemic, and it could be used effectively in the delineation of strategies for correction and support of citizens in underdeveloped countries.
Assessment of lipid preservation by carotenoids extracted from Daucus carota (L.) and Beta vulgaris (L.) roots
Authors: SADOUD MERYEM , Riazi Ali , HENNANI ELALIA , LOUCIF NOUR EL HOUDA
Published: May 2022

Fruits and vegetables are good sources of phytochemicals such as carotenoids capable of preventing diseases and maintaining well-being. This study aims to investigate the antioxidant activity of carotenoids obtained from Daucus carota L. (D. carota) and Beta vulgaris L. (B. vulgaris) roots and to determine their impact on the fat preservation. Carotenoids were extracted using a mixture of an equal volume of methanol, ethyl acetate, and petroleum ether. The antioxidant activity of the roots extracts was determined using DPPH scavenging and β-carotene bleaching methods. The oxidative stability of the butter added to the roots extracts was assessed using the Schall test. Results have shown that carotenoid contents of D. carota and B. vulgaris extracts were about 2.47±0.24 and 1.44±0.09 mg β-carotene equivalent per g of roots extract, respectively. DPPH-scavenging activity revealed IC50 values of 0.58 and 0.89 mg /mL, and a percentage of β-carotene bleaching inhibition of 51.25±4.26% and 56.84% in the presence of 1mg/mL of B. vulgaris and D. carota extract, respectively. The oxidation of the butter fats was significantly reduced (P<0.05) in the presence of the two carotenoid extracts compared to the control. The present study clearly showed the protective effect of D. carota and B. vulgaris against oxidative reactions in general and lipid peroxidation in particular. In addition to its use as a natural colorant, the carotenoids roots extract of these two plants could be used as a potential food preservative.
Discovery of a New Massive ZZ Ceti Star
Authors: Shepherd Kendall G. , Hall Weston , Castanheira Barbara G.
Published: May 2022

Massive pulsating white dwarf stars are extremely rare, because they are the final product of intermediate-mass stars, which are less common than low-mass stars. Additionally, their small size makes them fainter than the normal-mass white dwarf stars (∼0.6 M
⊙). Our motivation to look for this type of variable is to be able to study in detail their internal structure and therefore derive properties for the outcome of the evolution of intermediate mass stars, below 10 M
⊙. Using the 2.1 m Otto Struve Telescope at McDonald Observatory, we report on the discovery of a new massive pulsating white dwarf star. These stars might be massive enough that their cores have a significant crystallized portion, up to about 50%. A detailed asteroseismic study of these stars will provide important constrains on intermediate-mass stellar evolution, and the opportunity to study solid state physics at extreme conditions.
A methodological framework for the integration of machine learning algorithms into agent-based simulation models
Authors: Zornić Nikola , Marković Aleksandar
Published: May 2022

Traditionally, agent-based modelling and simulation relied on using utility function in agents’ decision-making process. Some drawbacks in this process are identified, and a potential remedy to the issue is proposed. This paper introduces a methodological framework for building a hybrid agent-based model that aims to overcome some of the elaborated problems related to the usage of a utility function. In the proposed approach, a machine learning algorithm substitutes the utility function, thus providing a possibility to use various algorithms. The proposed methodological framework has been applied to a case study of churn in a telecommunications company. Three models have been created and used for simulation experiments, two using the proposed methodology and one using utility function. The pros and cons of different approaches are identified and discussed.
Supporting elderly’s independent living with a mobile robot platform
Authors: Koceska Natasa , Koceski Saso
Published: May 2022

With the increased aging population, and declined support from the families, societies will need new tools to ensure the well-being of the elderly. Many of them would prefer living at home, but they will need help and assistance from someone. Technological innovations in the field of robotic systems can be used to enable independent living, to prolong the life of the elderly in their familiar home environments, to maintain the social connections by reducing social isolation and to improve the quality of life in general. In this paper, we present the design and validation of a low-cost mobile robot system that can assist elderly and professional caregivers in everyday activities. The robot structure and its control objectives are described in detail. The developed assistive telepresence robot was tested in simulation and experimentally. On field experiments were conducted in real environment, with potential end users, which is a major advantage of this study. The results of the evaluation were very satisfactory and have shown that participants can operate the robot safely and efficiently. The participants were very satisfied with the performance and features of the robot.
Editorial
Authors: Gütl Christian
Published: May 2022

Dear Readers,

I am very happy to announce the fifth regular issue of 2022. In this issue, a variety of topical research aspects of computer science are covered in four articles by 14 authors from 7 countries. Allow me to express my appreciation to all authors for their sound research and to the editorial board for the highly valuable reviews and comments for improvement. This continuous stream of relevant and novel contributions, along with the generous support of the consortium members, sustains the quality of our journal.

In the ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends. Please consider yourself and encourage your colleagues to submit high-quality articles or special issues for our journal.

In the fifth regular issue, I am very pleased to introduce the following 4 accepted articles: María Castañeda, Mercedes G. Merayo, Juan Boubeta-Puig, and Iván Calvo from Spain introduce MODELFY, a novel model-driven solution for designing a decision-making process based on fuzzy automata that allows users to abstract from technical complexities. Natasa Koceska and Saso Koceski from North Macedonia present in their work the design and validation of a low-cost mobile robot system that can assist elderly people and professional caregivers in everyday activities. In a collaborative research between Palestine, the USA, Saudi Arabia and Libya, Thaer Thaher, Mohammed Awad, Mohammed Aldasht, Alaa Sheta, Hamza Turabieh and Hamouda Chantar have developed an enhanced evolutionary-based approach to feature selection using the Grey Wolf Optimizer for classification of high-dimensional biological data. Nikola Zornić and Aleksandar Marković from Serbia present a methodological framework for building a hybrid agent-based model that integrates machine learning algorithms aimed at overcoming some of the elaborated problems related to the use of a utility function.
Levelling up versus democratic localism
Authors: Jones Rhian E.
Published: May 2022

The Johnson government's pledge to 'level up' in response to regional inequality has been derided for its continuing lack of political substance. Responses from the Labour Party leadership have tended to ignore the development in several parts of the UK of approaches focusing on democratic
localism or 'community wealth building', in which local leaders, groups and communities in neglected or 'left behind' areas are not only achieving central aspects of what 'levelling up' promises, but doing so with more progressive principles and intentions than those that underpin the Tory-led
project. The obvious example of this is the 'Preston Model', a project brought in over the past decade by a Labour-led city council. While some criticisms of the Preston Model and community wealth building are misconceived, others are valid areas of question or concern for the left, in particular
those that centre on the democratic nature of these economic experiments, and the risk that their focus on the spending policies of local or regional authorities ignores the potential for genuinely democratic community decision-making. This article looks at the extent to which community wealth
building has integrated or accommodated these concerns; the potential for doing so in future iterations of the strategy; and how a focus on these alternative strategies could offer a path to renewal for the Labour Party nationally.
Korean Peninsula: is a turn from armistice to peace possible?
Authors: Ford Glyn
Published: May 2022

This article explores the current prospects for peace on the Korean Peninsula. It argues that denuclearisation will be the final step in any peace process and cannot be seen as a precondition. There needs to be an understanding that the Democratic People's Republic of Korea (DPRK) sees
nuclear deterrence as guaranteeing its survival as a country, which means that surrendering it will only be possible at the end of multilateral peace process with strong security guarantees. The rigour, robustness and resilience of the Iran Deal and its Joint Comprehensive Plan of Action (JCPOA)
is seen as a model. The start of talks is likely to be bilateral, but security and economics will make the later stages collective. Obstacles along the way include a lack of understanding on both sides; President Biden's reversion to Obama's playbook and the potential difficulties of getting
any agreement through Congress; and recent elections in South Korea, which have seen the election of a hawkish President. The only good news is that, since Fumio Kishida became president any initiative by China to return to Six Party Talks is no longer stymied by Japanese intransigence. As
with any peace process, there is a need for recognition by both sides that the journey is as important as the destination; an 'End of War Declaration', to replace the armistice, would be a good starting point.
Accompagnateurs experts, outils magiques et entrepreneurs intelligents
Authors: Verzat Caroline , Jacquemin Amélie , Carré Nathalie
Published: May 2022

L’entretien de Corinne Renard et Claire Raveneaux par Marie-Hélène Girbau-Grimoin et Yann Papastratis nous fait rentrer dans le passionnant questionnement de deux accompagnatrices expertes. Il révèle deux grands dilemmes face aux outils d’accompagnement. Mais comment les accompagnateurs fondent-ils un jugement expert face à ces dilemmes ? Qu’est-ce qui constitue leur expertise en matière de choix et manipulation d’outils ? Comment l’acquièrent-ils et peuvent-ils la transférer aux entrepreneurs ? Telles sont les questions que nous nous proposons de développer en nous appuyant sur quelques concepts permettant d’analyser ce qu’est un outil de gestion et en quoi consiste, s’apprend et se transfère l’expertise de mobilisation des outils dans l’accompagnement entrepreneurial.
Edible insects: non-food and non-feed industrial applications
Authors: van Huis A.
Published: May 2022

Edible insects can be considered for applications other than food or feed. This may be the case when biodegradation is the main purpose and food safety issues are a concern. Multi-purpose applications will also make edible insects more interesting for mass production.
Upper semicontinuous selections for fuzzy mappings in noncompact $ WPH $-spaces with applications
Authors: Lu Haishu , Liu Xiaoqiu , Li Rong
Published: May 2022

In this paper, we introduce the concept of a $ WPH $-space without linear structure and proceed to establish a new upper semicontinuous selection theorem for fuzzy mappings in the framework of noncompact $ WPH $-spaces as well as a special form of this selection theorem in crisp settings. As applications, fuzzy collective coincidence point theorems, fuzzy collectively fixed point theorems, and existence theorems of equilibria for the generalized fuzzy games with three constraint set-valued mappings and generalized fuzzy qualitative games in $ WPH $-spaces are obtained. As their special cases in crisp settings, we derive existence theorems of equilibria for generalized games and generalized qualitative games. Finally, we construct a multiobjective game model for water resource allocation and prove the existence of Pareto equilibria for this multiobjective game based on the existence theorem of equilibria for qualitative games.
Solutions of some typical nonlinear differential equations with Caputo-Fabrizio fractional derivative
Authors: Cui Zhoujin
Published: May 2022

In this paper, the solutions of some typical nonlinear fractional differential equations are discussed, and the implicit analytical solutions are obtained. The fractional derivative concerned here is the Caputo-Fabrizio form, which has a nonsingular kernel. The calculation results of different fractional orders are compared through images. In addition, by comparing the results obtained in this paper with those under Caputo fractional derivative, it is found that the solutions change relatively gently under Caputo-Fabrizio fractional derivative. It can be concluded that the selection of appropriate fractional derivatives and appropriate fractional order is very important in the modeling process.
Enhancing object detection in aerial images
Authors: Pandey Vishal , Anand Khushboo , Kalra Anmol , Gupta Anmol , Roy Partha Pratim , Kim Byung-Gyu
Published: May 2022

Unmanned Aerial Vehicles have proven to be helpful in domains like defence and agriculture and will play a vital role in implementing smart cities in the upcoming years. Object detection is an essential feature in any such application. This work addresses the challenges of object detection in aerial images like improving the accuracy of small and dense object detection, handling the class-imbalance problem, and using contextual information to boost the performance. We have used a density map-based approach on the drone dataset VisDrone-2019 accompanied with increased receptive field architecture such that it can detect small objects properly. Further, to address the class imbalance problem, we have picked out the images with classes occurring fewer times and augmented them back into the dataset with rotations. Subsequently, we have used RetinaNet with adjusted anchor parameters instead of other conventional detectors to detect aerial imagery objects accurately and efficiently. The performance of the proposed three step pipeline of implementing object detection in aerial images is a significant improvement over the existing methods. Future work may include improvement in the computations of the proposed method, and minimising the effect of perspective distortions and occlusions.
The meaning of structural breaks for risk management: new evidence, mechanisms, and innovative views for the post-COVID-19 era
Authors: Tsuji Chikashi
Published: May 2022

This paper quantitatively reveals the meaning of structural breaks for risk management by analyzing US and major European banking sector stocks. Applying newly extended Glosten-Jagannathan-Runkle generalized autoregressive conditional heteroscedasticity models, we supply the following new evidence. First, we find that incorporating structural breaks is always effective in estimating banking stock volatilities. Second, we clarify that structural breaks partially explain the tail fatness of banking stock returns. Third, we find that when incorporating structural breaks, the estimated volatilities more accurately capture their downside risk, proving that structural breaks matter for risk management. Fourth, our news impact curve and model parameter analyses also uncover that when incorporating structural breaks, the asymmetry in volatility responses to return shocks is more accurately captured. This proves why the estimated volatilities by incorporating structural breaks better explain downside risk. In addition, we further reveal that the estimated volatilities obtained through incorporating structural breaks increase sharply during momentous events such as the Lehman crisis, the European debt crisis, Brexit, and the recent COVID-19 crisis. Moreover, we also clarify that the volatility spreads between models with and without structural breaks rise during the Lehman and COVID-19 crises. Finally, based on our findings, we derive many significant and beneficial interpretations, implications, and innovative views for risk management using artificial intelligence in the post-COVID-19 era.
Collective Amnesia and Generational Memory in Kamila Shamsie’s Kartography
Authors: Sen Madhurima
Published: May 2022

The war of 1971 has been widely represented in all forms of media in Bangladesh. However, Pakistani literature offers a stark contrast, as references to the war are sparse. The representation of the war in Pakistani official discourse is also understandably contradictory to that of Bangladesh. Kamila Shamsie’s Kartography (2001) is one of the few Pakistani novels setting the 1971 war as its backdrop. This article attempts to understand the role of literary narratives to offer a perspective which diverges from the nationalist public narrative. It endeavours to locate the novel in a world of proliferating international apologies for historical misdeeds. It delineates the cyclical nature of violence and hatred as demonstrated in the novel by drawing connections between various historical events and their memories, as it attempts to understand how the relationship between personal and political shapes individual and national identity. This article demonstrates through a close reading of the novel how narratives are used to forge collective amnesia and collective denial of responsibility, interrogating generational guilt and national self-examination as illustrated in Kartography.
The ‘Real’ Pakistan in Uzma Aslam Khan’s The Geometry of God (2007): A Testimony of Blasphemy
Authors: Ashraf Ana
Published: May 2022

Since their widespread implementation and amendment in the 1980s by Muhammad Zia-ul-Haq, blasphemy laws have been used in Pakistan to supress freedom of speech and to create an environment of terror, fear, and subjugation. Islamist political parties on the right side of the spectrum in alliance with the military establishment ensure that resistance against these laws both judicially and socio-politically becomes almost unfeasible. Those who do have a chance to be released from the charges are faced with death threats and often become prey to homicide or mob lynching. In such a scenario, literature can and must offer an alternative imaginative space where constructive dialogue is made possible and where some form of healing is offered to the victims. It, therefore, becomes incumbent to understand the way in which Uzma Aslam Khan’s The Geometry of God (2017) offers an alternative to the state led official narrative regarding issues of blasphemy, freedom of expression and creative thought in relation to Pakistani identity. The Geometry of God deals with Pakistani history in the 1980s and ’90s under Zia-ul-Haq’s influence and legacy from three different narrator-perspectives and the (mis)use of blasphemy laws in Pakistan with respect to Zahoor, a palaeontologist. The book challenges the mainstream narrative about blasphemy as well as Pakistani history as it unfolds, and presents, instead, an alternative ‘real’ image of modern Pakistan which is more complex, polyphonic, and diverse. In this respect, this article demonstrates how Khan creates a larger alternative literary testimony within the novel through three narrator-characters as well as by employing various stylistic features. Indeed, the novel both mirrors and challenges the ‘official’ court testimony where Zahoor is silenced by false accusations against him in the name of blasphemy. Through a detailed analysis of the three narrators, this article shows how memories of past events are represented, including the way in which the literary form of the novel foregrounds the act of testimony.
Graphic Interlude
Authors: Veyret Paul , Waterman David , Hadin-Waterman Dewi
Published: May 2022

This graphic interlude features a selection of pictures illustrating the topic of this issue: “New/Naya Pakistan”.