bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of Crisis Perception on Consumer Purchasing Behaviors During the COVID-19 (Coronavirus) Period: A Research on Consumers in Turkey
Authors: CİCİ Emine Nihan , BİLGİNER ÖZSAATCI Fatma Gül
Published: November 2021

This study aims to determine the impact of crisis perception on consumer purchasing behaviors during the Covid-19 period. To this end, a survey has been conducted with citizens who are in quarantine and hold a decision-making position in making purchases. The study’s hypotheses were tested with correlation and multiple regression. These analyzes pointed out that crisis perception among consumers during the Covid-19 and sparingness and cautiousness, which are the sub-dimensions of crisis perception had positive and significant effect on purchasing behavior; however, the study determined that concern for the future sub-dimension did not have positive and significant effect on purchasing behavior. The results of the difference tests revealed that only wage restrictions caused a significant difference in crisis perception.
Forecasting Monero Prices with a Machine Learning Algorithm
Authors: CAN ERGÜN Zeliha , KUTLU KARABIYIK Busra
Published: November 2021

Many researchers have attempted to forecast the values of different cryptocurrencies, but few studies analyzed the Monero price trends. Monero ranks first in terms of privacy features, and its demand is expected to grow in the future. This paper can be classified as the first to use the PATSOS model to forecast Monero prices and trends. According to the findings, the PATSOS model accurately forecasted future Monero prices with a very low error rate. Moreover, investors can withstand market volatility and avoid large losses by using the consistent "buy" and "sell" signals produced by the PATSOS mechanism.
Emisyon Azaltım Sorumluluğu Olan BM Ülkelerinde Hava Kirliliği, Sağlık Harcamaları ve Ekonomik Büyüme İlişkisi
Authors: DEĞİRMENCİ Tunahan , YAVUZ Hakan
Published: November 2021

1997 Kyoto Protokolünde hava kirliliği, daha özelde sera gazı emisyonunu azaltmaya dikkat çekilmesi bu alandaki girişimlerin ivme kazanmasında oldukça etkilidir. Protokolden sonra farklı disiplinlerde hava kirliliği ve etkileri alanındaki çalışmalarda önemli artış yaşanmıştır. Bu çalışmada 1990-2018 döneminde emisyon azaltım sorumluluğu olan BM ülkelerinde hava kirliliği ile ekonomik büyüme ve sağlık harcamaları arasındaki ilişkiler Kónya (2006) panel nedensellik testleriyle araştırılmıştır. Çalışma sonuçları, hava kirliliğinden sağlık harcamalarına, hava kirliliğinden ekonomik büyümeye ve ekonomik büyümeden sağlık harcamalarına doğru nedensellik ilişkisini göstermektedir.
Dental implant imaging: What do South African dentists and dental specialists prefer?
Authors: Beshtawi Khaled R , Peck Mogammad T , Mahmoud Hussein M , Chetty Manogari
Published: November 2021

To document the types of imaging modalities that are commonly prescribed during dental implant therapy in South Africa. The radiographic preferences were obtained from practitioners via an electronic survey that was disseminated during local dental conferences, electronic channels (e.g., email lists) of multiple dental schools and local dental scientific societies, and personal interviews. The survey consisted of multiple-choice questions which were designed to investigate the most common radiographic prescriptions during various treatment phases of implant therapy. The responses of one hundred and forty-two participants (General practitioners and dental specialists) practising in different South African provinces were collected and assessed. Principally, panoramic radiographs combined with cone beam computed tomography (PAN + CBCT) followed by CBCT, as a single examination (ASE), were the most preferable modalities during the implant planning phase (39% and 29%, respectively). During and directly after the surgery, periapical radiographs (ASE) were the most preferred (87% and 65%, respectively). The most widely preferred radiographic examination during the planning of implants was panoramic radiographs combined with CBCT. Periapical radiographs (ASE) were favoured during, directly after the treatment, and during the follow-up of asymptomatic patients by the majority of participants. However, CBCT (ASE) was preferred in the follow up of symptomatic patients. Factors related to extra anatomical information and superior dimensional accuracy provided by three-dimensional volumes (e.g., CBCT volumes), were the most indicated influencing factors on the radiographic prescriptions during implant planning.
Survival of Patients with Floor of Mouth Squamous Cell Carcinoma Treated with Surgical Resection and Reconstruction
Authors: Thokan N , Maharaj Shivesh
Published: November 2021

To identify predictors of survival in patients with floor of mouth Squamous Cell Carcinoma (FOMSCC) in order to improve patient selection for resource intensive resection and reconstruction procedures. A retrospective record review of patients who underwent resection and reconstruction for FOMSCC at Charlotte Maxeke Johannesburg Academic Hospital. Patient data were collected and analyzed with respect to age, sex, race, tobacco usage, alcohol usage, tumour stage and post-operative chemo-radiation. One- and five-year recurrence and survival rates were also evaluated. Within the study period, 20 patients were identified that were treated with resection and reconstruction for FOMSCC. The mean age at diagnosis was 56.85 years, with 70 percent of the sample being male and fifty percent being black. Amongst the sample, 90 percent of patients used tobacco and 60 percent were frequent alcohol users. The most common stage at diagnosis was stage IVA which was found in 40 percent of the sample. There were no significant factors associated with recurrence at 1 year. At 5 years, alcohol usage was a significant predictor of recurrence (P=0.044).There were no significant factors associated with death at 1 year however tumour stage at 5 years was a significant predictor (P=0.035). Out of 20 patients, five patients had recurrence. Total person-time was 72.9 person-years, with a mean follow-up time of 3.65 (SD 2.04) years per person. Out of 20 patients, nine patients died within 5 years (45%). Alcohol was the only statistically significant factor associated with increased mortality. Our findings suggest earlier diagnosis, and active treatment of early stage disease may be the best means of improving 5-year survival rates. Efforts to improve quality of care and manage limited resources should concentrate on choosing the appropriate disease stage for surgical management, improve cancer surveillance and strengthen referral system so as to improve early detection of disease and provide, social support and counselling for adjunctive habits such alcohol and tobacco use cessation which will improve patient outcomes.
Towards an e-learning ecologies approach to pedagogy in a post-COVID world
Authors: Fataar Aslam , Norodien-Fataar Najwa
Published: November 2021

In this article, part of the special COVID-19 issue of the Journal of Education, we concentrate on digital technology as one of the core dimensions of education's pandemic-related response. As the default teaching mode during the pandemic, Online Emergency Remote Teaching evoked contentious responses about future education directions in a post-COVID world. We shed light on the role of digital technology in South African education, specifically in relation to current debates on higher education. We present an argument that supports an approach based on e-learning ecologies to pedagogy to inform teaching and learning in institutional contexts. We argue that a reflexive pedagogy-led response to digital technology holds promise for creating a systemic educational approach to promoting students' critical epistemic engagement to enable them to secure viable futures.
Early childhood teachers' and managers' lived experiences of the COVID-19 pandemic in South Africa
Authors: Ebrahim Hasina Banu , Martin Colwyn , Excell Lorayne
Published: November 2021

The declaration of COVID-19 as a global pandemic by the World Health Organisation in March 2020 brought many changes to the early childhood sector internationally. The South African response is best understood in the context of an under-developed sector with pre-existing vulnerabilities. In this article, we present a contextual understanding of the lived experiences of early childhood development (ECD) teachers and managers during the lockdown and the opening phases of a risk-adjusted approach. Our use of a phenomenological lens together with systems theory provides a reality check through a focus on lived experiences. Data were produced through an online survey with 28 ECD teachers and managers. We conducted semi-structured interviews with a subset of 8 of these participants. Findings show that disruptions of COVID-19 led to entrenching inequities in service provision and early learning opportunities. These intersecting dimensions have implications for building effective ECD systems.
HATE CRIMES: THE ULTIMATE ANATHEMATIC CRIMES
Authors: Nina Mollema  , Charnelle van der Bijl
Published: November 2021

Hate crimes are grave offences that involve violations of human rights and humanitarian law. Hate crimes are offences which are motivated by bias or prejudice against a person based on their ethnicity, race, colour, sexual orientation, gender, handicap or religion. If one considers the severity of these crimes and the cumulative consequences thereof, it is evident that these crimes do not get as much concern as they should. The conduct in this type of crime targets groups of individuals based on their actual or perceived membership in a particular group. The crimes are profoundly influenced and driven by the collective action of its perpetrators, also members of a group, who regard themselves as superior. The interplay between individual action and group membership is central to these crimes in so far as this interplay engenders thorny questions of responsibility and punishment. This note intends to explore the manner in which South African and American criminal law give impetus to the criminalization of the above-mentioned collective wrongdoing. It is important to consider the handling of hate crimes in American society as South Africa has a similar history of racial discrimination to that in the United States. The first part of the note will delineate the concept of hate crime, while the second part will examine hate crimes from a South African as well as American criminal-law perspective. Lastly, the punishment of perpetrators of prejudice-motivated crimes is investigated as a final intervention in combating this manifestation in South Africa.
[RETRACTED] Keto Advanced 1500 Canada: (REVIEWS 2021) Keto 1500 Pills | Scam Alert v1
Authors: Alvarado Matias
Published: November 2021

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Keto Advanced 1500 is an imaginative equation for starting ketosis and consuming normally gathered fat. This normal weight reduction item is notable in the enhancement business because of its compelling outcomes
Subrenal capsule (SRC) implantation of tumor tissue v1
Authors: Agarwal Shubhangi , not provided donna.peehl , Sriram Renuka
Published: November 2021

This protocol describes the steps required for the successful implantation of tumor tissues under the subrenal capsule. The subrenal capsule is an optimum site for the propagation of tumor tissue as it provides an environment rich with blood vessels and growth factors.
Intrahepatic implantation of tumor cells v1
Authors: Agarwal Shubhangi , Bok Robert , not provided donna.peehl , Sriram Renuka
Published: November 2021

This protocol describes the steps required for successful implantation of small cell neuroendocrine prostate cancer patient-derived xenograft (PDX) cells in the liver. Liver is one of the most common sites for development of metastatic prostate cancer and its study is important for evaluating the tumor characteristics and response to therapy. This protocol can be used for implantation of any tumor cell line in the liver.
Gender Inequalities and the Effects of Feminine Artworks on Public Spaces: A Dialogue
Authors: Alizadeh Hooshmand , Kohlbacher Josef , Mohammed-Amin Rozhen Kamal , Raouf Tabin Latif
Published: November 2021

Feminist street art aims to transform patriarchal spaces into places of gendered resistance by asserting a feminist presence in the city. Considering this, as well as women’s social life, their struggle against lingering forces of patriarchy, and relating features of inequality (domestic violence), there was a feminist installation artwork by the young Kurdish artist Tara Abdulla that shook the city of Sulaimani in Iraqi Kurdistan on 26 October 2020. She had prepared a 4,800‐meter‐long washing line covered with the clothes of 99,678 Kurdish women who were survivors of sexual and gender‐based violence. They installed it along the busiest street of the city (Salim Street). She used this piece of feminine to express her reaction to the Kurdish society regarding, the abuse that goes on silently, behind closed doors. She also aimed towards normalizing women’s bodies. After the installation, she received many controversial reactions. As her artwork was a pioneering project in line with feminist issues in Kurdistan which preoccupied the city for quite a while, the aim of this article is to investigate the diverse effects of her work on the current dialogue regarding gender inequality in the Kurdish society. To do this, we used the research method of content analysis on big data (Facebook comments) to investigate the public reactions of a larger number of locals. The Feminine effectively exposed some of the deep‐rooted cultural, religious, and social barriers in addressing gender inequalities and silent sexual violence issues in the modern Kurdish patriarchal society.
What Art and Design Do for Social Inclusion in the Public Sphere
Authors: Hannes Karin
Published: November 2021

Art and design can meaningfully contribute to social change. It can shift debates, change perspectives, raise awareness, and act upon visible and invisible mechanisms of inclusion and exclusion of different agents occupying the public sphere. In this thematic issue we invited authors to relate to this claim as they preferred: by bringing evidence to support it, refute it, or simply to discuss the potential benefits and harms of artistically inspired and design related interventions in citizens living environment. We challenged authors to rethink agency and engage theoretically or empirically with how art and design installations act upon us, citizens, and vice‐versa. The result is a compilation of different storylines, coming from different geographical parts of the world and written from a variety of cultural perspectives. What binds these contributions is a true commitment to open up a space for those experiencing challenging life circumstances to access, occupy, or transform the public sphere. Our collective engagement with concepts such as power, prejudice, harassment or discrimination was not focused on erasing differences. Instead, we engaged with the idea that certain differences should matter less than they currently do in creating a safe and accessible public space for all.
Mathematics Teachers and Curriculum: Authors or Actors?
Authors: Peralta Deise Aparecida , Pacheco José Augusto , Palanch Wagner Barbosa de Lima
Published: November 2021

Background: Among the plurality of themes addressed by curricular studies, the nature of decision-making processes involving education professionals has guided some research agendas. Delineated by one of those agendas, this text starts by asking what the participation of teachers in processes involving curriculum is. Objective: To analyse the rationality underlying the involvement of mathematics teachers in the context of curriculum reforms in Brazil and Portugal, presenting a theoretical basis inspired by Jürgen Habermas and its suitability to discuss teachers’ participation as authors or actors of curricula reforms. Design: Reconstructive analysis of rationality according to the Habermasian discursive ethics. Settings and participants: The context of a comparative study that surveys documents and interviews with two managers of a curricular reform project in Portugal and Brazil, respectively. Data collection and analysis: Analysis of the rationality that underlies the discourse present in curriculum documents of the countries involved and interviews. Results: Centralising elements of national curriculum policies do not mean by themselves the homogenisation of curricula, the rationality that underlies how projects predict the participation of teachers express an illusory discursive varnish about “teachers actively participating,” there are spaces of micropolicies with controlled margin of changes that advocate mathematics teachers as builders of policies, but the mechanisms of external regulation contradict this. Conclusions: Historically, in both countries, the educational systems, even expressing a rhetorical discourse on autonomy and flexibility, have remained hostages to the regulation of centralist global policies.
Three-year outcomes of sandwich therapy in patients with locally advanced cancer of the middle and lower rectum
Authors: Aniskin A. A. , Kuzmichev D. V. , Mamedli Z. Z. , Polynovskiy A. V.
Published: November 2021

Background. The most important criteria for the effectiveness of the treatment of locally advanced rectal cancer are indicators of overall survival (OS) and disease-free survival (DSF). Conducting systemic chemotherapy in addition to chemoradiotherapy at the preoperative stage can increase these indicators.Objective: to study analyze the indicators of 3-year OS and DFS, as well as the frequency of local relapses and distant metastases.Materials and methods. From 2013 to 2020, 72 patients with T≥3(CRM+)N0–2M0 lower and middle ampullar rectal cancer were included in the study using sandwich therapy. At the first stage, 2 courses of induction polychemotherapy were carried out according to the CapOx scheme (capecitabine 2000 mg/m2  orally for 14 days and oxaliplatin 130 mg/m2 intravenously once every 3 weeks). Further, chemoradiation therapy was carried out with a total focal dose of 50–56 Gy while taking capecitabine 1650 mg/m2  per day orally on the days of irradiation. After the end of chemotherapy, the patients underwent 2 courses of consolidating polychemotherapy according to the CapOx scheme (capecitabine 2000 mg/m2  orally for 14 days and oxaliplatin 130 mg/m2  intravenously once every 3 weeks). The control group consisted of 72 patients who underwent neoadjuvant treatment in accordance with current clinical guidelines (chemotherapy course with a total focal dose of 50–56 Gy while taking capecitabine 1650 mg/m2  per day orally on the days of irradiation).Results. In 19 (26.4 %) patients from the study group and in 6 (8.3 %) patients from the control group, the achievement of pCR was recorded (p = 0.006). The overall complication rate was 48 (66.7 %) in the study group and 37 (51.4 %) in the control group (p = 0.072), the frequency of grade III–IV toxicity was 8 (11.1 %) and 7 (9.7 %), respectively (p = 0.072). Sphincter-sparing surgical interventions were performed in 52 (72.2 %) and 40 (55.6 %) patients in the sandwich-therapy group and the control group of chemoradiation therapy, respectively (p = 0.037). Resection in the R0 volume was achieved in 71 (98.6 %) and 72 (100 %) patients, respectively (p = 0.316).Conclusion. The use of sandwich therapy is a promising trend in the treatment of patients with locally advanced rectal cancer. There were no significant differences in the frequency of 3-year OS (96.1 % versus 91.5 %, p = 0.247), DFS (89.8 % versus 84.0 %, p = 0.117) and local relapses (0 % versus 4.2 %, p = 0.997). In our study, statistically significant differences were obtained in the incidence of distant metastases (6.9 % versus 18.1 %, p = 0.05), which may indicate a positive trend towards an increase in OS and DFS rates.
Biochemical markers of ovarian stromal cell tumors
Authors: Beishembaev A. M.
Published: November 2021

Ovarian stromal cell tumors are a rare group of neoplasms that characterized by an ambiguous prognosis and biological activity associated with the hypersecretion of a number of substances. The review presents the latest data on the biochemical diagnosis of tumors of the stroma of sex cord, including granulosa cell tumor of the ovary. The importance of hormones,
Light regimen, anovulation, and risk of malignant neoplasms of the female reproductive system:the mechanisms of link and prevention
Authors: Anisimov V. N. , Ailamazyan Eduard K. , Baturin D. А. , Zabezhinsky М. А. , Alimova I. N. , Popovich I. G. , Beniashvily D. S. , Menton K. G. , Provincialy M. , Franchesky K.
Published: November 2021

This article contains own and literature data on stimulating influence of constant light illumination on the risk of the development of anovulation, hyperplastics processes and cancers of the female reproductive system organs (mammary gland, endometrium, and ovaries) in the laboratory animals and women. Contrary, the light deprivation obstacles to the cancer development. The ata on the key role of the inhibition of production of pineal hormone melatonin in the pathology that developed under the effect of light-at-night as well as on the possible prevention of this pathology with melatonin and pineal peptides are reported.
The Impact of 3D Finite-Fault Information on Ground-Motion Forecasting for Earthquake Early Warning
Authors: Murray Jessica R. , Thompson Eric M. , Baltay Annemarie S. , Minson Sarah E.
Published: November 2021

We identify aspects of finite-source parameterization that strongly affect the accuracy of estimated ground motion for earthquake early warning (EEW). EEW systems aim to alert users to impending shaking before it reaches them. The U.S. West Coast EEW system, ShakeAlert, currently uses two algorithms based on seismic data to characterize the earthquake’s location, magnitude, and origin time, treating it as a point or line source. From this information, ShakeAlert calculates shaking intensity and alerts locations where shaking estimates exceed a threshold. Several geodetic EEW algorithms under development would provide 3D finite-fault information. We investigate conditions under which this information produces sufficiently better intensity estimates to potentially improve alerting. Using scenario crustal and subduction interface sources, we (1) identify the most influential source geometry parameters for an EEW algorithm’s shaking forecast, and (2) assess the intensity alert thresholds and magnitude ranges for which more detailed source characterization affects alert accuracy. We find that alert regions determined using 3D-source representations of correct magnitude and faulting mechanism are generally more accurate than those obtained using line sources. If a line-source representation is used and magnitude is calculated from the estimated length, then incorrect length estimates significantly degrade alert region accuracy. In detail, the value of 3D-source characterization depends on the user’s chosen alert threshold, tectonic regime, and faulting style. For the suite of source models we tested, the error in shaking intensity introduced by incorrect geometry could reach levels comparable to the intrinsic uncertainty in ground-motion calculations (e.g., 0.5–1.3 modified Mercalli intensity [MMI] units for MMI 4.5) but, especially for crustal sources, was often less. For subduction interface sources, 3D representations substantially improved alert area accuracy compared to line sources, and incorrect geometry parameters were more likely to cause error in calculated shaking intensity that exceeded uncertainties.
Firmas del conservadurismo: peticiones, política popular y campañas contra las reformas en Gran Bretaña, 1780-1918
Authors: Miller Henry
Published: November 2021

El estudio de las peticiones colectivas en el Reino Unido se ha centrado por lo general en campañas progresistas, reformistas o liberales, y movimientos tales como el antiesclavismo, el radicalismo, el cartismo, el libre comercio o el sufragio femenino. Sin embargo, sería mejor considerar las nuevas formas de petición colectiva surgidas a finales del siglo xviii como tecnologías neutrales. Algunas de las mayores peticiones del siglo xix resultaron de campañas tory, conservadoras, lealistas o reaccionarias. La defensa de las iglesias protestantes oficiales de Inglaterra, Irlanda, Escocia y Gales movilizó millones de firmas, al igual que la oposición a que se otorgaran derechos a los disidentes católicos y protestantes. Los intereses proteccionistas, a su vez, se opusieron al libre comercio. En contraste con las reformistas, estas campañas eran, por lo general, reactivas, y respondían a propuestas de cambio de sus adversarios. Hicieron estas también un mayor uso, en su práctica peticionaria, de redes preexistentes del clero y la Iglesia, y tardaron algo más que sus adversarios en adoptar nuevas formas de asociacionismo y nuevas formas de petición colectiva. Por ejemplo, los conservadores siguieron haciendo hincapié en la respetabilidad y la calidad de los firmantes en vez de la cantidad, por más que los números tuvieran una importancia cada vez mayor en los debates públicos. El uso de las peticiones también mantuvo la identidad conservadora. En general, las peticiones de los conservadores muestran de qué manera estos, si no a la democracia, sí se adaptaron a la política popular del siglo XIX.
Las lógicas de la emancipación: Psiquiatría y ciudadanía en la España del tardofranquismo
Authors: Novella Enric J.
Published: November 2021

El presente artículo trata de reconstruir y esclarecer algunas de las causas y consecuencias del clima de efervescencia emancipatoria que, como en otros ámbitos de la sociedad española, se apoderó de los discursos y las prácticas psiquiátricas en los años finales de la dictadura franquista. De este modo, la cristalización de una nueva sensibilidad hacia la situación de las personas afectadas por trastornos mentales, las crecientes exigencias de participación de los profesionales en la gestión de las instituciones y los esfuerzos por implementar un trato más horizontal con los pacientes se interpretan en el marco de la irrupción de una conciencia ciudadana más activa, asertiva e inclusiva. Teniendo en cuenta la severa restricción de derechos políticos y las medidas represivas con las que el régimen se enfrentó finalmente a la disidencia psiquiátrica, se concluye con una breve reflexión sobre el difícil encaje de la cultura de la salud mental comunitaria con entornos sociopolíticos autoritarios y el inevitable desencanto que hubo de provocar posteriormente la implementación efectiva de los procesos de desinstitucionalización y reforma psiquiátrica.
Penambahan Nanoselulosa Sekam Padi Terhadap Kekasaran Permukaan Basis Gigi Tiruan Resin Akrilik Polimerisasi Panas
Authors: Rahmawati Selma Junita , Logamarta Setiadi Warata , Satrio Rinawati
Published: November 2021

Basis gigi tiruan adalah bagian yang berkontak langsung dengan jaringan lunak rongga mulut. Bahan basis gigi tiruan yang paling umum digunakan yaitu resin akrilik polimerisasi panas. Bahan ini masih memiliki kekurangan yaitu sifat mekanis rendah, meninggalkan monomer sisa dan adanya porositas yang berpengaruh terhadap kekasaran permukaan. Nanoselulosa sekam padi memiliki potensi sebagai alternatif untuk memperbaiki sifat bahan resin akrilik polimerisasi panas. Nanoselulosa memiliki keunggulan diantaranya memiliki luas permukaan yang tinggi sehingga dapat digunakan sebagai reinforcing nanofiller pada material komposit seperti resin akrilik. Tujuan penelitian ini adalah untuk mengetahui pengaruh penambahan nanoselulosa sekam padi terhadap kekasaran permukaan pada resin akrilik polimerisasi panas. Jenis penelitian ini adalah eksperimental laboratoris dengan post-test only control group design. Sampel penelitian terdiri dari 6 kelompok, masing-masing kelompok terdiri dari 8 sampel. Kelompok K1, K2, K3, K4, K5 dan K0 berturut-turut merupakan kelompok dengan penambahan nanoselulosa 1%, 2%, 3%, 4%, 5% serta kontrol (tanpa nanoselulosa). Hasil penelitian menunjukkan semua kelompok dengan penambahan nanoselulosa memiliki nilai kekasaran permukaan lebih tinggi dibanding kelompok kontrol. Penambahan nanoselulosa 5% (K5) memiliki nilai kekasaran permukaan tertinggi yaitu 0,3242 ± 0.0066µm kemudian diikuti berturut-turut oleh kelompok K4, K3, K2, K1 dan kelompok kontrol (K0) memiliki nilai kekasaran permukaan terendah yaitu 0.1558 ± 0.0023µm. Hasil uji SEM pada setiap kelompok menunjukkan terdapat aglomerasi dan ukuran porus yang bervariasi. Kesimpulan penelitian ini adalah penambahan nanoselulosa sekam padi tidak lebih baik dari kelompok kontrol dan dapat meningkatan kekasaran permukaan basis gigi tiruan resin akrilik polimerisasi panas.
Accommodation and Welfare of the Special Settlers of Kuban in the 1930s (on the Example of Karaganda Region)
Authors: Mussagaliyeva Arailym
Published: November 2021

The article is devoted to the history of the special settlers of the North Caucasus, including their placement and living arrangements in the of Central and Northern Kazakhstan, including on of the Karaganda region. The main attention in the article is paid to a special contingent, labor settlers from the Kuban in 1932—1933. Their history in modern science has not yet been studied. The article uses archival documents of the central, regional and local archives of Kazakhstan, including the Archive of the President of the Republic of Kazakhstan, the State Archive of the Karaganda Region, the State Archive of the Akmola Region, the State Archive of the Social and Political History of the Turkestan Region, the State Archive of the city of Temirtau, the State Archive of the Osakarovsky District of the Karaganda Region, the State archive of the Shortandy district of the Akmola region. Published documents in collections of documents from Russia and Kazakhstan were analyzed.
Deep Att-ResGAN: A Retinal Vessel Segmentation Network for Color Fundus Images
Authors: Zhao Jie , Feng Qianjin
Published: November 2021

Retinal vessel segmentation plays a significant role in the diagnosis and treatment of ophthalmological diseases. Recent studies have proved that deep learning can effectively segment the retinal vessel structure. However, the existing methods have difficulty in segmenting thin vessels, especially when the original image contains lesions. Based on generative adversarial network (GAN), this paper proposes a deep network with residual module and attention module (Deep Att-ResGAN). The network consists of four identical subnetworks. The output of each subnetwork is imported to the next subnetwork as contextual features that guide the segmentation. Firstly, the problems of the original image, namely, low contrast, uneven illumination, and data insufficiency, were solved through image enhancement and preprocessing. Next, an improved U-Net was adopted to serve as the generator, which stacks the residual and attention modules. These modules optimize the weight of the generator, and enhance the generalizability of the network. Further, the segmentation was refined iteratively by the discriminator, which contributes to the performance of vessel segmentation. Finally, comparative experiments were carried out on two public datasets: Digital Retinal Images for Vessel Extraction (DRIVE) and Structured Analysis of the Retina (STARE). The experimental results show that Deep Att-ResGAN outperformed the equivalent models like U-Net and GAN in most metrics. Our network achieved accuracy of 0.9565 and F1 of 0.829 on DRIVE, and accuracy of 0.9690 and F1 of 0.841 on STARE.
Comparative Experimental Investigation of Deep Convolutional Neural Networks for Latent Fingerprint Pattern Classification
Authors: Nogay Hidir Selcuk
Published: November 2021

Fingerprint pattern recognition is of great importance in forensic examinations and in helping diagnose some diseases. The automatic realization of fingerprint recognition processes can take time due to the feature extraction process in classical machine learning or deep learning methods. In this study, the effective use of deep convolutional neural networks (DCNN) in fingerprint pattern recognition and classification, in which feature extraction takes place automatically, was examined experimentally and comparatively. Five DCNN models have been designed and implemented with a transfer learning approach. Four of these five models are Alexnet, Googlenet, Resnet-18, and Squeezenet pre-trained DCNN models. The fifth model is the DCNN model designed from the ground up. It was concluded that the designed DCNN models can be used effectively in fingerprint recognition and classification, and that fast results can be obtained and generalized with advanced DCNN models.
Diagnosis of Melanoma Lesion Using Neutrosophic and Deep Learning
Authors: Banerjee Shubhendu , Singh Sumit Kumar , Chakraborty Avishek , Basu Sharmistha , Das Atanu , Bag Rajib
Published: November 2021

Melanoma is a kind of skin cancer which occurs due to too much exposure of melanocyte cells to the dangerous UV radiations, that gets damaged and multiplies uncontrollably. This is popularly known as malignant melanoma and is comparatively less heard of than certain other types of skin cancers; however it can be more detrimental as it swiftly spreads if not detected and attended at a primary stage. The differentiation between benign and melanocytic lesions sometimes may be confusing, but the symptoms of the disease can reasonably be discriminated by a profound investigation of its histopathological and clinical characteristics. In the recent past, Deep Convolutional Neural Networks (DCNNs) have advanced in accomplishing far better results. The necessity of the present day is to have faster and computationally efficient mechanisms for diagnosis of the deadly disease. This paper makes an effort to showcase a deep learning-based ‘Keras’ algorithm, which is established on the implementation of DCNNs to investigate melanoma from dermoscopic and digital pictures and provide swifter and more accurate result as contrasted to standard CNNs. The main highlight of this paper, basically stands in its incorporation of certain ambitious notions like the segmentation performed by a culmination of a moving straight line with a sequence of points and the application of the concept of triangular neutrosophic number based on uncertain parameters. The experiment was done on a total of 40,676 images obtained from four commonly available datasets— International Symposium on Biomedical Imaging (ISBI) 2017, International Skin Imaging Collaboration (ISIC) 2018, ISIC 2019 and ISIC 2020 and the end result received was indeed motivating. It attained a Jac score of 86.81% on ISIC 2020 dataset and 95.98%, 95.66% and 94.42% on ISBI 2017, ISIC 2018 and ISIC 2019 datasets, respectively. The present research yielded phenomenal output in most instances in comparison to the pre-defined parameters with the similar types of works in this field.
A New Approach for Automatic Sleep Staging: Siamese Neural Networks
Authors: Efe Enes , Özşen Seral
Published: November 2021

Sleep staging aims to gather biological signals during sleep, and categorize them by sleep stages: waking (W), non-REM-1 (N1), non-REM-2 (N2), non-REM-3 (N3), and REM (R). These stages are distributed irregularly, and their number varies with sleep quality. These features adversely affect the performance of automatic sleep staging systems. This paper adopts Siamese neural networks (SNNs) to solve the problem. During the network design, seven distance measurement methods, namely, Euclidean, Manhattan, Jaccard, Cosine, Canberra, Bray-Curtis, and Kullback Leibler divergence (KLD), were compared, revealing that Bray-Curtis (83.52%) and Cosine (84.94%) methods boast the best classification performance. The results of our approach are promising compared to traditional methods.
A Home Efficacy Multi-Modal Intelligent Evaluation System for Wearable Treatment Equipment of Insomnia Through Integration Between Traditional Chinese Medicine and Modern Medicine
Authors: Zhang Guihong , Ogihara Atsushi , Zhou Siyu , Yang Xiaotong , Wang Yujia , Ma Xiaowen , Li Shuwu , Li Kai
Published: November 2021

Wearable treatment equipment has become a hot topic among traditional Chinese medicine (TCM) researchers. The wearable instrument for transcutaneous electrical stimulation therapy (TEST) developed by our research team has unique advantages in treating insomnia induced by the heart disorder due to phlegm and fire (HDPF). However, the treatment efficacy of the instrument has not been verified by multi-modal data, which limits its application at home. In fact, there is no intelligent efficacy evaluation system for the home treatment of insomnia with the instrument. To make up the gap, this paper attempts to build a home efficacy multi-modal intelligent evaluation system (HEMIES) for this wearable TEST instrument, drawing on the latest technologies of medicine and informatics. Taking HDPF-induced insomnia as an example, the authors firstly set up an index system of the HEMIES for HDPF-induced insomnia, and constructed a conceptual model of the HEMIES. Next, the syndrome images of TCM were fused with the text data of modern medicine, and used to evaluate the treatment efficacy and complete the HEMIES. Finally, 33 patients with HDPF-induced insomnia were recruited to treat the disease with the wearable TEST instrument at home. The observed results show that the prediction accuracy rate of the HEMIES was as high as 90.63%, indicating that the system boasts a good prediction ability and a high value for home application. Our HEMIES realizes the objective evaluation of the home treatment efficacy of the wearable TEST instrument in the absence of TCM practitioners, and provides a reference for the efficacy research of other TCM treatment equipment in home treatment.
Wavelet Based and Statistical EEG Analysis in Patients with Schizophrenia
Authors: Yilmaz Musa
Published: November 2021

Schizophrenia, which is considered a serious mental disorder and a psychological illness, is quite common in society today. Schizophrenia manifests itself with disordered thought development, hallucinations, and different behaviours and reactions. In this study, EEG data were collected and analyzed on a total of 84 subjects diagnosed with normal and schizophrenia. EEG data used as a diagnostic tool with low-resolution level has been used to distinguish between schizophrenic and normal individuals. First of all, statistical methods were used in the analyzes, and also frequency properties of the data were extracted by Wavelet analysis. As a result of the analysis, statistical findings include characteristics that distinguish between diagnosed schizophrenia and normal individuals. In addition, the findings obtained as a result of the Wavelet analysis were determined to distinguish between normal and schizophrenic individuals. While the mean used in statistical analysis takes the value 1.6 for normal individuals, it takes the value 2.9 for individuals diagnosed with schizophrenia. Also, in the results of Continuous Wavelet (CW) Analysis, very important findings were obtained in terms of detection in scale 16 and 64 bands.
Simple, Flexible Method to Extract Digital Image Features
Authors: Khrisat Mohammad S. , Zaini Hatim Ghazi , Alqadi Ziad A.
Published: November 2021

The process of digital image features extraction is very important and it is required in many applications such as classification, prediction and regression. The extracted features for each image must be unique and capable to be used as an image identifier. In this paper we will introduce a method of image features extraction; it will be shown that this method will enhance the efficiency of the features extraction process. The proposed method will be experimentally tested using various images; the obtained experimental results will be compared with other existing methods of feature extraction to show the advantages of the proposed method and to show how to increase the speed up of the method.
Investigating EEG Signals of Autistic Individuals Using Detrended Fluctuation Analysis
Authors: Radhakrishnan Menaka , Ramamurthy Karthik , Kothandaraman Avantika , Madaan Gauri , Machavaram Harini
Published: November 2021

To record all electrical activity of the human brain, an electroencephalogram (EEG) test using electrodes attached to the scalp is conducted. Analysis of EEG signals plays an important role in the diagnosis and treatment of brain diseases in the biomedical field. One of the brain diseases found in early ages include autism. Autistic behaviours are hard to distinguish, varying from mild impairments, to intensive interruption in daily life. The non-linear EEG signals arising from various lobes of the brain have been studied with the help of a robust technique called Detrended Fluctuation Analysis (DFA). Here, we study the EEG signals of Typically Developing (TD) and children with Autism Spectrum Disorder (ASD) using DFA. The Hurst exponents, which are the outputs of DFA, are used to find out the strength of self-similarity in the signals. Our analysis works towards analysing if DFA can be a helpful analysis for the early detection of ASD.
Design and Application of a Slow Feature Algorithm Coupling Visual Selectivity and Multiple Long Short-Term Memory Networks
Authors: Zhao Yanming , Yang Hong , Su Guoan
Published: November 2021

In the traditional slow feature analysis (SFA), the expansion of polynomial basis function lacks the support of visual computing theories for primates, and cannot learn the uniform, continuous long short-term features through selective visual mechanism. To solve the defects, this paper designs and implements a slow feature algorithm coupling visual selectivity and multiple long short-term memory networks (LSTMs). Inspired by the visual invariance theory of natural images, this paper replaces the principal component analysis (PCA) of traditional SFA algorithm with myTICA (TICA: topologically independent component analysis) to extract image invariant Gabor basis functions, and initialize the space and series of basis functions. In view of the ability of the LSTM to learn long and short-term features, four LSTM algorithms were constructed to separately predict the long and short-term visual selectivity features of Gabor basis functions from the basis function series, and combine the functions into a new basis function, thereby solving the defect of polynomial prediction algorithms. In addition, a Lipschitz consistency condition was designed, and used to develop an approximate orthogonal pruning technique, which optimizes the prediction basis functions, and constructs a hyper-complete space for the basis function. The performance of our algorithm was evaluated by three metrics and mySFA’s classification method. The experimental results show that our algorithm achieved a good prediction effect on INRIA Holidays dataset, and outshined SFA, graph-based SFA (SFA), TICA, and myTICA in accuracy and feasibility; when the threshold was 6, the recognition rate of our algorithm was 99.98%, and the false accept rate (FAR) and false reject rate (FRR) were both smaller than 0.02%, indicating the strong classification ability of our approach.
An Alzheimer’s Disease Identification and Classification Model Based on the Convolutional Neural Network with Attention Mechanisms
Authors: Chen Yin
Published: November 2021

MRI image analysis of brain regions based on deep learning can effectively reduce the workload of doctors in reading films and improve the accuracy of diagnosis. Therefore, deep learning models have great application prospects in the classification and prediction of Alzheimer’s patients and normal people. However, the existing research has ignored the correlation between small abnormalities in local brain regions and changes in brain tissues. To this end, this paper studies an Alzheimer’s disease identification and classification model based on the convolutional neural network (CNN) with attention mechanisms. In this paper, the attention mechanisms were introduced from the regional level and the feature level, and the information of brain MRI images was fused from multiple levels to find out the correlation between the slices in brain MRI images. Then, a spatio-temporal graph CNN with dual attention mechanisms was constructed, which made the network model more attentive to the salient channel features while eliminating the impact of certain noise features. The experimental results verified the effectiveness of the constructed model in identification and classification of Alzheimer’s disease.
Pitch-based carbon fibers: preparation and applications
Authors: Kaidar B.B. , Smagulova G.T. , Imash A.A. , Zhaparkul S. , Mansurov Z.A.
Published: November 2021

Attention to carbon fiber (CF) conditioned by their unique physicochemical, mechanical and electrical properties, which makes them in demand in various fields of activity. Today there are several kinds of carbon fibers, most of which (about 90%) are made of polyacrylonitrile (PAN). Even though carbon fibers are produced from several types of different precursors, their widespread commercial use is limited by the high cost of the product. Has, many research and engineering groups sought to reduce the cost of production by using cheap carbon raw materials. A likely solution to this problem is the exploitation of coal, petroleum, and coal tar as an effective progenitor for CF production. This review discusses neoteric accomplishment in CF synthesis using various carbon pitches. The possibility of obtaining carbon fibers based on resin with the addition of PAN is presented, and the prospects for their use in energy storage systems and various reinforced composite materials are described in detail.
Comparison of photodynamic efficiency of cholesterol, selected cholesterol esters, metabolites and oxidation products on lipid peroxidation processes
Authors: Burakowska Monika , Sarna Tadeusz , Pawlak Anna M.
Published: November 2021

Cholesterol (Ch) is one of the most important components of biological membranes, which has a significant impact on their biophysical properties. As a key component of lipid membranes, Ch along with other unsaturated lipids present in a biological membrane undergoes oxidation reaction during oxidative stress. Cholesterol oxidation products, cholesteryl esters and metabolites are also localise in lipid membranes, where they may modify membrane properties. In this work the impact of cholesterol, selected cholesteryl esters, cholesterol oxidation products and metabolites on lipid peroxidation induced by photodynamic action has been studied using EPR oximetry and direct detection of singlet oxygen phosphorescence at 1270 nm. The obtained rate constants values of interaction of selected lipids and sterols with singlet oxygen indicate that the tested compounds are not efficient singlet oxygen quenchers. Nevertheless, the presence of sterols modifies to different extend the oxygen photoconsumption rate in peroxidisable liposomes.
Recognition of the Cybersecurity State of IoT devices
Authors: Sukhoparov M.E. , Lebedev I.S.
Published: November 2021

The identification of the cybersecurity (CS) state of Internet of things (IoT) devices determines the necessity to search for and improve approaches to detecting various threat types. The unification used in the mass development of IoT devices facilitates software and hardware modification to block certain built-in protective functions from the side of a potential intruder. A need arises to develop universal methods for identifying the cybersecurity state of devices using comprehensive approaches to analyzing data from internal and external information channels. The article presents an approach to identifying the cybersecurity of IoT devices based on processing time series recorded from sensors during various processes, and internal and external (thirdparty) sources. The approach is based on classification methods. The presented solution uses template sequences containing synchronized time series showing numerical values obtained from various probes and sensors during process execution. The proposed approach makes it possible to identify IoT device cybersecurity states without increasing the volume of information stored and processed in internal resources.