bluuebunny/crossref_metadata_2025 huggingface dataset:
Translation and Validation of the Malay Version of Oral Health Impact Profile for Temporomandibular Disorders
Authors:   Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, 50603 Kuala Lumpur, Malaysia, Apipi Muzaffar , Yap Adrian Ujin ,   Department of Dentistry, Ng Teng Fong General Hospital, National University Health System, 609606 Singapore,   Faculty of Dentistry, National University of Singapore, 119085 Singapore,   National Dental Centre Singapore, 168938 Singapore, Ismail Siti Mazlipah ,   Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, 50603 Kuala Lumpur, Malaysia, Mohd Tahir Mohd Khairul Anwar ,   Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, 50603 Kuala Lumpur, Malaysia, Kadir Kathreena ,   Department of Oral and Maxillofacial Clinical Sciences, Faculty of Dentistry, Universiti Malaya, 50603 Kuala Lumpur, Malaysia, Mohd Yusof Zamros Yuzadi ,   Department of Community Oral Health and Clinical Prevention, Faculty of Dentistry, Universiti Malaya, 50603 Kuala Lumpur, Malaysia
Published: December 2022

Most prior oral health-related quality of life (OHRQoL) research concerning temporomandibular disorders (TMDs) had utilised generic OHRQoL measures. This study aimed to translate and validate the Malay version of Oral Health Impact Profile for TMDs (OHIP-TMDs), a TMDs-specific OHRQoL tool, for use in Malay literate populations. The translation and cross-cultural adaptation of the OHIP-TMDs into the Malay language were implemented according to the international guidelines. A convenience sample of 243 subjects completed the Malay OHIP-TMDs (OHIP-TMDs-M) as well as the Malay Short Oral Health Impact Profile (S-OHIP-M), Global Oral Health ratings (GOH-M) and Fonseca Anamnestic Index (FAI-M). The OHIP-TMDs-M was re-administered to a subset of 40 subjects after two weeks for test-retest reliability. Concurrent, convergent and discriminative validity were assessed using Spearman’s rank correlation, Kruskal Wallis and Mann-Whitney U tests with significance level set at p < 0.05. The OHIP-TMDs-M was found to have excellent internal consistency (Cronbach’s alpha = 0.98) and test-retest reliability (intraclass correlation coefficient = 0.99, p < 0.001). A strong and positive correlation with S-OHIP-M (rs = 0.74) was observed, and OHIP-TMDs-M scores differed significantly between subjects with disparate GOH-M ratings (p < 0.001). Furthermore, the OHIPTMDs-M was able to discriminate between subjects with and without TMDs. The OHIP-TMDs-M was found to have excellent reliability and good validity. It is a promising tool for assessing TMDs-specific OHRQoL in Malay literate populations.
Prevalence of Developmental Dental Anomalies Using Digital Panoramic Radiographs in Libyan Dental Patients
Authors:   Department of Pediatric Dentistry, Faculty of Dentistry, University of Benghazi, Benghazi, Libya, Elfseyie Majda T.
Published: December 2022

Dental anomalies may occur due to the complex interactions among genetic, epigenetic, and environmental factors during dental development. The current study aimed to determine the prevalence and gender significance of developmental dental anomalies (DDA) in dental patients. This was a cross-sectional study of 260 subjects (123 males and 137 females) with an age range of 6–35 years old. Clinical and radiographic examinations were performed to determine the prevalence of anomalies in tooth number, shape, size, position, and structure. Descriptive statistics was performed, the chi-square test was used for analysis and p-value was set at 0.05. The findings showed that 203 subjects (78.1%) had DDA, which included 86 males (33.1%) and 117 females (45%). A significant gender difference was found regarding the prevalence of two anomalies (p < 0.05). The most prevalent anomaly was displacement 51.2%, followed by dilaceration 24.2%. A significant gender difference (p < 0.05) was found regarding hypodontia 16.5% and impaction 14.6%, with more predominant in females. Some anomalies were not observed such as microdontia, dentin dysplasia, ectopic eruption, gemination, and taurodontism. The study concluded that displacement and dilacerations were the common abnormalities. These findings may lead to various dental complications. Therefore, early diagnosis and follow-up observation are required to reduce the potential dental problems. In addition, it is helpful to increase the knowledge of practitioners with regards to DDA and its occurrence. Furthermore, it is good to highlight the importance of early diagnosis of DDA, especially in the mixed dentition, which can lead to reducing the complication of an orthodontic treatment plan.
The Perspective of Dental Aesthetics in Finding a Job as a Dentist: A Cross-Sectional Study
Authors:   Division of Restorative Dental Sciences, Faculty of Dentistry, The University of Hong Kong, Prince Philip Dental Hospital, 34 Hospital Road, Sai Ying Pun, Hong Kong, Lim Tong Wah , Ruslan Ahmad Hashridz ,   Centre of Restorative Dentistry Studies, Faculty of Dentistry, Universiti Teknologi MARA, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia, Ahmad Nor Syahila ,   Centre of Restorative Dentistry Studies, Faculty of Dentistry, Universiti Teknologi MARA, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia, Kassim Zethy Hanum Mohamed ,   Centre of Restorative Dentistry Studies, Faculty of Dentistry, Universiti Teknologi MARA, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia, Norman Noraina Hafizan ,   Centre of Paediatric Dentistry and Orthodontics Studies, Faculty of Dentistry, Universiti Teknologi MARA, Jalan Hospital, 47000 Sungai Buloh, Selangor, Malaysia
Published: December 2022

This study aimed to determine the influence of dental aesthetics in finding a job as a dentist and the employer’s willingness to interact in personal and professional setting. Ten dental students’ smiling photographs were taken prior to the correction of their dental aesthetic problems. The images were digitally altered to an ideal smile. Two different questionnaires were prepared (Groups A and B) with the images with or without alteration (ideal and non-ideal smile). The images with an ideal smile and non-ideal smile were randomly allocated in each group and assessed by 84 private dental practitioners who has the authority of hiring another dentist in their practice. Four questions were asked on the likelihood of being hired, friendliness, intelligence, and good clinical skills. In general, the students with ideal smile were more likely to be hired (p < 0.05) except for those presented with buccally erupted canine and mild median diastema. Students with ideal smile scored higher in terms of friendliness and intelligence than the non-ideal smile. Most of them did not correlate a smile to an individual’s clinical skills and manual dexterity (p > 0.05). In conclusion, individuals with an ideal smile was graded more friendly and intelligent thus increases the employer’s willingness to interact personally and is more likely to be hired in contrast to a person with a non-ideal smile. Therefore, an aesthetically pleasing smile is one of the factors affecting the chances of a dentist to be hired and improve their personal interaction with people.
Quantitative Assessment of Dentine Sialophosphoprotein, Aspartate Aminotransferase and Lactate Dehydrogenase in Gingival Crevicular Fluid of Teeth with Root Resorption
Authors:   Department of Dental Science, Advanced Medical and Dental Institute, Universiti Sains Malaysia, 13200 Kepala Batas, Pulau Pinang, Malaysia, Shafiai Noor Ayuni Ahmad , Wahab Rohaya Megat Abdul ,   Department of Family Oral Health, Faculty of Dentistry, Universiti Kebangsaan Malaysia, Jalan Raja Muda Abdul Aziz, 50300 Kuala Lumpur, Malaysia
Published: December 2022

Root resorption is a shortening of root dentine which occurs physiologically in deciduous teeth. The present study aimed to quantify dentine sialophosphoprotein (DSPP), aspartate aminotransferase (AST) and lactate dehydrogenase (LDH) in gingival crevicular fluid (GCF) during the physiological process of root resorption of deciduous teeth. A cross-sectional study was conducted with 25 children aged between 4 and 10 years old. GCF was collected from the gingival sulcus using periopaper strips from the upper first deciduous molar (n = 45). The samples were divided equally into three groups, no resorption (R0), moderate resorption (RM) and severe resorption (RS), based on the existing radiographs taken. The GCF samples were then analysed using an enzyme-linked immunosorbent assay (ELISA) kit to determine the DSPP concentration levels and BioAssays System kit for AST and LDH. One-way ANOVA was used to determine the statistical differences between the means of the DSPP, AST and LDH concentration level in the three groups. A difference was considered significant when p < 0.05. High concentration levels of DSPP were significantly noted in RS (p < 0.05), compared to RM and R0. AST also portrayed significant high activity level (p < 0.05) similar to DSPP but LDH showed no significant changes between groups (p > 0.05). The high quantification of DSPP and AST levels in the severe and moderately resorbed roots indicated the potential use of this protein as a biomarker for detecting moderate-severe stages of root resorption.
II. MEŞRUTİYET DÖNEMİ BAĞDAT VİLAYETİNDE 1908 SEÇİMLERİ VE BAĞDAT MEBUSLARI
Authors: ŞAHİN Emine
Published: December 2022

23 Temmuz 1908’de II. Meşrutiyet’in ilan edilmesiyle Osmanlı İmparatorluğu’nda anayasal döneme geçiş gerçekleşti. II. Abdülhamid Kanun-ı Esasi’nin devreye girdiğini, Meclis-i Mebusan’ın açılacağını ve bu yüzden en yakın sürede bir seçimin gerçekleşeceğini duyurdu. Bunun üzerine ülkede bir seçim sürecine girildi ve hem merkezde hem de taşrada meclise girecek olan adaylar belirlenmeye başladı. 1908 seçimlerinde İttihad ve Terakki Cemiyeti istibdadı yıkıp meşrutiyeti yeniden getirdiği için hâkim unsur olmayı başarmıştı. Ancak Irak kıtasının merkezinde yer alan Bağdat vilayetinde cemiyet, seçimlerde tam anlamıyla etkin olamadı ve yalnızca İttihat ve Terakki Cemiyeti’nin mensubu olarak iki mebus meclise girebildi. Bu çalışma II. Meşrutiyet Dönemi’nde Arap vilayetlerindeki seçim sürecine bir örnek olarak Bağdat vilayetinde gerçekleşen 1908 seçimlerini ele almaktadır. Ayrıca Bağdat’tan seçilen mebusların kimler olduğu ve meclisteki deneyimleri bu makalenin konusunu teşkil etmektedir.
Edição Especial das Ciências Exatas e Engenharias
Authors: Santos Garcia Irene Teresinha , Sippert Lanzanova Luciane , De Castro Biane
Published: December 2022

Apresentação do Número Especial das Ciências Exatas
Identificação de potenciais inibidores da enzima NS2B-NS3 do Zika Vírus
Authors: Clemente Dias Renieidy Flávia
Published: December 2022

O vírus Zika (ZIKV) são flavivírus pertencentes à família flaviviridae, que são transmitidos pela picada do vetor infectado; nesse caso, mosquito do gênero Aedes aegypti. A replicação viral é função da proteína não estrutural NS3-pro que atua em associação com NS2B, aumentando a eficiência enzimática. Assim, esse domínio da protease N2B-NS3 apresenta um alvo atrativo para o planejamento de novos fármacos antivirais. Diante disto, este artigo buscou abordar a importância farmacológica dos heterocíclicos benzotiazóis e trouxe exemplos de derivados benzotiazóis como novos candidatos a fármacos capazes de inibirem a protease N2B-NS3 do ZIKV.

Palavras-chave: NS2B-NS3; ZIKV; Aedes aegypti.

Abstract

Identification of potential inhibitors of the Zika Virus NS2B-NS3 enzyme

The Zika virus (ZIKV) are flaviviruses belonging to the flaviviridae family, which are transmitted by the bite of an infected vector, in this case, a mosquito of the genus Aedes aegypti. Viral replication is a function of the non-structural protein NS3-pro that works in association with NS2B, increasing enzymatic efficiency. Thus, this domain of the N2B-NS3 protease presents an attractive target for the design of new antiviral drugs. Therefore, this article sought to address the pharmacological importance of heterocyclic benzothiazoles and brought examples of benzothiazole derivatives as new drug candidates capable of inhibiting the N2B-NS3 protease of ZIKV.

Keywords: NS2B-NS3; ZIKV; Aedes aegypti.

Resumen

Identificación de posibles inhibidores de la enzima NS2B-NS3 del virus del Zika

El virus Zika (ZIKV) son flavivirus pertenecientes a la familia flaviviridae, que se transmiten por la picadura de un vector infectado, en este caso, un mosquito del género Aedes aegypti. La replicación viral es una función de la proteína no estructural NS3-pro que trabaja en asociación con NS2B, ampliando la eficiencia enzimática. Por ello, este dominio de la proteasa N2B-NS3 presenta un objetivo atractivo para el diseño de nuevos fármacos antivirales. Frente a esto, el artículo buscó abordar la importancia farmacológica de los benzotiazoles heterocíclicos y trajo ejemplos de derivados de benzotiazol como nuevos candidatos a fármacos capaces de inhibir la proteasa N2B-NS3 del ZIKV. 

Palavras clave:  NS2B-NS3; ZIKV; Aedes aegypti.
Captura e armazenamento de carbono associados à recuperação avançada de óleo: uma revisão
Authors: Barbosa Coelho Nathalia , Meneguelo Ana Paula , De Lorena Diniz Chaves Gisele
Published: December 2022

Muito se discute a respeito da mitigação das mudanças climáticas em todo o mundo. No entanto, o fornecimento sustentável de energia e materiais ainda não é realidade, visto o crescimento acelerado da demanda energética, que intensifica consideravelmente a emissão de Gases de Efeito Estufa (GEE). Neste intuito, dentre as tecnologias que podem ser aliadas à redução da emissão de GEE tem-se a captura e armazenamento geológico de dióxido de carbono - CCS (Carbon Capture and Storage). Além de reduzir as emissões de GEE, um projeto de CCS pode ser aplicado na produção de petróleo para melhorar o desempenho de um poço no processo de Recuperação Avançada de Petróleo - EOR (Enhanced Oil Recovery). O objetivo deste artigo é revisar os conceitos e tecnologias relacionados à Captura e Armazenamento de Carbono e à Recuperação Avançada de Petróleo, a partir de uma revisão sistemática da literatura, estruturando e classificando os artigos selecionados. Para isso, foi aplicada a técnica SYSMAP (Scientometric and Systematic Yielding Mapping Process) visando estruturar as principais etapas da revisão. Além disso, foi utilizado o método Science Mapping, para identificar os trabalhos de maior impacto na área de interesse, através do software R Studio, Bibliometrix e de Indicadores Internacionais propostos pela Capes. Evidenciou-se que a abordagem técnica foi a mais empregada, seguida da econômica e, por fim, a ambiental. Foram identificadas algumas limitações e propostas de estudos futuros. Desta forma, a contribuição deste artigo envolve identificar os estudos mais relevantes na área e, por meio da análise estruturada, apresentar o estado da arte orientando pesquisas futuras.
How can context and information content of advertising increase sales of advertising products on social media?
Authors: Nurmala Nurmala
Published: December 2022

This paper aims to understand how the information presented on social media can move the roads and business partners today. The author believes that the more attractive the content and where an advertisement is on social media, the more business sales will increase sales. As a result of a good review and high reliability. After a series of reviews and discussions of the results, advertising content information on various social media platforms has been proven to increase business sales results. This happens because today's social media is a place for friendship and teaching for the promotion and advertising of various business products and services. It is hoped that these findings will become a scientific repertoire of similar study approaches in the future.
Malaysian Special Education Law: Integrating the Medical and Social Models of Disability
Authors: Rahmat Nur Ezan , Othman Muhammad Fikri , Abdul Aziz Norazlina , Sukbunpant Sasipin
Published: December 2022

The educational rights of children with disabilities in Malaysia are not sufficiently and effectively protected. There should be a specific law relating to special education for children with disabilities that integrates the Medical and Social Models of Disability to cover their educational rights better. This paper examines the effectiveness of law relating to special education in Malaysia. It proposes integrating the Medical and Social Model of Disabilities in formulating a special education law for children with disabilities in Malaysia. This research employs a library-based approach by analysing the related laws through legislation, journal articles and textbooks.
Keywords: Special Education Law; Educational Rights; Children with Disabilities; Models of Disability
eISSN: 2398-4287 Â© 2022. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open-access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peerâ€“review under the responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v7i22.4047
Ingresos, tecnología y capacitación de productores rurales de trucha (Oncorhynchus mykiss), estudio de caso en el lago Titicaca
Authors: Apaza Quispe Ismena , Blanco Espezúa María del Pilar
Published: December 2022

La truchicultura se introdujo en la región de Puno desde la década de los 70’ sin embargo los productores de trucha en la actualidad afrontan diversos problemas, como el manejo empírico, escasa tecnología en la crianza y gestión empírica de la producción y comercialización de trucha. En esta investigación se identifican y analizan los factores socioeconómicos que ejercen efectos en la mejora de ingresos en las familias productoras de trucha de la Asociación “Brisas del Titicaca” de Chucuito en Puno, Perú. Desde una perspectiva económica y social, a partir del método inductivo, a partir de una población de 30 acuicultores, con áreas de concesión para la producción entre 1 y 1,5 ha.  Las unidades productivas alcanzan ingresos mensuales de 21.000 PEN (aprox. 6234 USD; T.C 2018) Al aplicar un modelo econométrico probit ordenado, considerando como variables dependientes seis niveles de ingreso (Y) y como variables independientes: edad (E), nivel educativo alcanzado (NE), número de capacitaciones en crianza de truchas (NC), área de concesión (AC), tipo de instalación acuícola-tecnológica (TI) y acceso a crédito financiero (AF). Se encontró que el nivel educativo (NE), el número de capacitaciones (NC), el tipo de instalación en las jaulas de crianza de truchas (TI) y el acceso al crédito financiero (AF) fueron las variables significativas, para lograr mayor probabilidad para generar mayores niveles de ingresos en su actividad productiva. Así mismo se encontró que es necesario fortalecer la capacitación y mejora tecnológica, así como el acceso al crédito en la producción rural de truchas.
Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data (Preprint)
Authors: Ilyas Yousaf , Hassanbeigi Daryani Shahrzad , Kiriella Dona , Pachwicewicz Paul , Boley Randy A , Reyes Karen M , Smith Dale L , Zalta Alyson K , Schueller Stephen M , Karnik Niranjan S , Stiles-Shields Colleen
Published: December 2022

BACKGROUND

Despite significant research done on youth experiencing homelessness, few studies have examined movement patterns and digital habits in this population. Examining these digital behaviors may provide useful data to design new digital health intervention models for youth experiencing homelessness. Specifically, passive data collection (data collected without extra steps for a user) may provide insights into lived experience and user needs without putting an additional burden on youth experiencing homelessness to inform digital health intervention design.

OBJECTIVE

The objective of this study was to explore patterns of mobile phone Wi-Fi usage and GPS location movement among youth experiencing homelessness. Additionally, we further examined the relationship between usage and location as correlated with depression and posttraumatic stress disorder (PTSD) symptoms.

METHODS

A total of 35 adolescent and young adult participants were recruited from the general community of youth experiencing homelessness for a mobile intervention study that included installing a sensor data acquisition app (Purple Robot) for up to 6 months. Of these participants, 19 had sufficient passive data to conduct analyses. At baseline, participants completed self-reported measures for depression (Patient Health Questionnaire-9 [PHQ-9]) and PTSD (PTSD Checklist for DSM-5 [PCL-5]). Behavioral features were developed and extracted from phone location and usage data.

RESULTS

Almost all participants (18/19, 95%) used private networks for most of their noncellular connectivity. Greater Wi-Fi usage was associated with a higher PCL-5 score (P=.006). Greater location entropy, representing the amount of variability in time spent across identified clusters, was also associated with higher severity in both PCL-5 (P=.007) and PHQ-9 (P=.045) scores.

CONCLUSIONS

Location and Wi-Fi usage both demonstrated associations with PTSD symptoms, while only location was associated with depression symptom severity. While further research needs to be conducted to establish the consistency of these findings, they suggest that the digital patterns of youth experiencing homelessness offer insights that could be used to tailor digital interventions.
"Danjon Effect", Solar-Triggered Volcanic Activity, and Relation to Climate Change
Authors: Komitov Boris , Kaftan Vladimir
Published: December 2022

The “Danjon effect” is a phenomenon that presents a tendency to concentrate the so-called “dark” total lunar eclipses (DTLE) near solar sunspot cycle minimum phases. It was a starting point for the present study, whose main subject is a statistical analysis of relationship between solar and volcanic activity for the maximum long time. To this end, the Smithsonian National Museum of Natural History's volcanic activity catalog was used. On its basis, a time series of the total annual volcanic eruptions for the period 1551–2020 AD has been built and explored for cycles of possible solar origin. Cycles with duration of 10–11, 19–25, ∼60, and ∼240 years (all with possible solar origin) has been established. It has also been found that there are two certain peaks of volcanic activity during the sunspot activity cycle: the first one is close to or after the sunspot minimum (sunspot cycle phase 0.9 ≤ Φ ≤1.0 and 0.1 ≤ Φ ≤ 0.2), and the second is wider – close to the sunspot cycle maximum (0.3 ≤ Φ ≤ 0.5). A third maximum is detected about 3–4 years after the sunspot cycle maximum (0.7 ≤ Φ ≤ 0.8) for the “moderate strong” volcanic eruptions with volcanic eruptive index VEI = 5. It corresponds to the geomagnetic activity secondary maximum, which usually occurs 3–4 years after the sunspot maximum. Φ is calculated separately on the basis of each sunspot cycle length. Finally, without any exclusions, all most powerful volcanic eruptions for which VEI ≥ 6 are centered near the ∼11-year Schwabe-Wolf cycle extremes. Trigger mechanisms of solar and geomagnetic activity over volcanic events, as well as their relation to climate change (in interaction with galactic cosmic rays (GCR) and/or solar energetic particles (SEP)), are discussed. The Pinatubo eruption in 1991 as an example of a “pure” strong solar–volcanism relationship has been analyzed in detail.
Trend in Global Environmental Pollution
Authors: Quader Dr. M. A.
Published: December 2022

The context of environmental pollution especially economic development being associated to each other studied. Time series data for several years are studied, analyzed and used to develop statistical models and inferred for helping the planners. The models for environmental problem areas of greenhouse gas emission, noise pollution, plastic pollution, municipal waste, fertilizer pollution and industrial process pollution show consistent increasing. The models of environmental problem areas of the aspects of safe drinking water, safe sanitation, life expectancy and death rate show consistent improvement. It is recommended that the measures to prevent the environmental problems must be mad as inbuilt into the relevant project body and must be implemented.
Мощный непрерывный лазер Pr : YLF на длине волны 607 нм
Authors: Яо И. , Чжэн Цюань , Чжао Ян , Лю Тяньхун
Published: December 2022

В статье описана работа Pr : YLF-лазера в непрерывном режиме с высокой мощностью
на длине волны 607 нм с накачкой двумя полупроводниковыми лазерными диодами,
излучающими в синем спектральном диапазоне. Максимальная выходная
мощность 10,58 Вт достигается при общей мощности накачки 50 Вт, насыщение
выходной мощности достигнуто не было.
Технология инфракрасной фотополимеризации
Authors: Демина П.А. , Хайдуков К.В. , Рочева В.В. , Акасов Р.А. , Генералова А.Н. , Хайдуков Е.В.
Published: December 2022

Технология 3D-печати стала ключевой движущей силой в изменении парадигмы производственного процесса в различных отраслях промышленности. Новой вехой в 3D-печати может стать технология инфракрасной полимеризации, основанная на достижениях в области синтеза наноматериалов, способных эффективно преобразовывать излучение ближнего ИК-диапазона спектра в УФ-свет. Эта инновационная технология может проложить путь к разработке множества решений в промышленности и предвещает новые рубежи для фотоники, оптоэлектроники и биомедицины. В обзоре представлено краткое обобщение имеющихся достижений, а также ограничения, сдерживающие развитие технологии ИК-фотополимеризации.
Современные конструктивно-технологические методы создания интегральных оптических логических элементов
Authors: Якухина А.В. , Платонов В.В. , Горелов Д.В. , Амеличев В.В. , Светухин В.В.
Published: December 2022

Представлены основные конструктивно-технологические методы создания интегрально-оптических элементов. Показано, что современные базовые оптические логические элементы («И», «ИЛИ», «И-НЕ», «ИЛИ-НЕ») могут быть реализованы двумя основными методами: на интегрально-оптических структурах, содержащих в своем составе интерферометры Маха-Цендера и микрорезонаторы, и на двумерных фотонных кристаллах. Перечислены основные преимущества и конструктивно-технологические особенности каждого из методов создания интегрально-оптических логических элементов (ИОЛЭ) для создания перспективных фотонных интегральных схем (ФИС).
Сравнительная оценка критериев информативности данных дистанционного зондирования Земли из космоса
Authors: Романов Д.В. , Защепко П.А. , Фёдорцев Р.В. , Котов М.Н.
Published: December 2022

В статье рассмотрены два критерия информативности изображения:
линейное разрешение на местности (ЛРМ) и национальная шкала оценки
интерпретируемости изображений (NIIRS). Предложена методика сравнения критериев интерпретируемости изображений объектов космической съемки по данным со спутников дистанционного зондирования Земли. Разработан алгоритм расчета ЛРМ и NIIRS, зависящий от основных технических параметров космической аппаратуры (КА) и начальных условий съемки Земли. Проведена сравнительная оценка критериев информативности данных дистанционного зондирования Земли для снимков высокого и сверхвысокого разрешения. Определены требования к оптико-электронной аппаратуре (ОЭА) по критериям ЛРМ и уровню NIIRS для различных сфер применения.
Многоканальный эндоскопический комплекс для осмотра внутренней поверхности направляющих каналов тепловыделяющих сборок водно-водяных энергетических реакторов
Authors: Бечаснов С.М. , Бармасов В.Д. , Попов А.И. , Завьялова М.А.
Published: December 2022

В ФГБУН Конструкторско-технологическом институте научного приборостроения
СО РАН (г. Новосибирск) разработан многоканальный эндоскопический
комплекс для осмотра внутренней поверхности направляющих каналов тепловыделяющих сборок водно-водяных энергетических реакторов (ТВС ВВЭР).
Ниже представлены актуальность разработки комплекса и его основные технические характеристики.
Использование охлаждаемого аноскопа в малоинвазивном лечении геморроидальной болезни диодным лазером
Authors: Жижин Н.К. , Колбас Ю.Ю.
Published: December 2022

В статье описано применение диодного лазера с дополнительной системой
охлаждения операционного поля при склеротерапии геморроидальной для
уменьшения болевого синдрома и отека. Приведена подробная методика проводимых
манипуляций. Описан использованный охлаждаемый аноскоп и его характеристики.
Показано, что использование охлаждаемого аноскопа на 3–4 дня снижает время заживления тканей.
ЛАЗЕРЫ‑2022: обзор докладов конференции
Authors: Петров В.А. , Иванов А.В.
Published: December 2022

XXXIII Международная конференция «Лазеры в науке, технике, медицине» состоялась
в Москве в РТУ МИРЭА с 15 по 17 ноября 2022 г. Основные организаторы конференции: РТУ МИРЭА, МГТУ им.Н.Э.Баумана, МНТОРЭС им.А.С.Попова, НМИЦ онкологии им. Н. Н. Блохина, НИЯУ «МИФИ», Лазерная ассоциация.
Plant Disease Classification using Convolution Neural Network
Authors: Bhargav Ganipisetty Akhil , Pathak Dr. Ajita
Published: December 2022

Abstract: Today, agriculture is back bone of our country's economy. Agriculture is sometimes referred to as the art and science of raising crops and feeding domestic animals. Moreover, half of the country's GDP is contributed by the agricultural sector. The pace of output is influenced by the crops, fertilisers, and cultivation techniques. Unknown plant or crop diseases now have a significant impact on agricultural productivity. It may be difficult for a farmer to spot a plant disease, but it may also be difficult to do so without a microscope or even with our unaided eyes. To address this complex problem, we thus provide a methodology that uses machine learning and deep learning to identify the plant sickness. Convolution neural networks can be used in conjunction with deep learning and machine learning to identify plant diseases. Deep learning allows us to characterise the behaviour and symptoms of the plant in addition to detecting sickness. By employing various architectures, deep learning aids in the visualisation of the picture. There are several types of architecture, including AlexNet, VGG, ResNet, and CNN, among others. We have developed a model to identify plant diseases using the proper architecture. Finally, this work analyses and makes predictions on how image processing-based plant disease and pest detection may progress in the future
A Review on Machine Learning Techniques Used in Rice Crop Management
Authors: Das Bhaskar Jyoti , Baruah Siddhartha
Published: December 2022

Abstract: Rice is a major food crop for a significant population of the world and increase in its yield is a priority to ensure nutrition for many countries. Thus it is important to protect the crop from the various diseases that affect the crop. With the advent of machine learning, a number of methods have been proposed to identify diseases after the occurrence as well as at an early stage. Diagnose of these predators before occurrence can be much more beneficial. Journal papers that used rice as a major crop were considered eligible. In this review, an attempt is made to understand the preferred machine learning methods and algorithms that can be employed to detect various diseases and pest as well as predict crop yield of the rice crop. It is expected to be beneficial to all who wish to use machine learning in agriculture that can lead to constructive research in this area.
Implementing Security in IoT Systems via Blockchain
Authors: Mukkamala Venkat Sai Ram , Ravi Pavan Raj , Hussain Mohammad Yasir
Published: December 2022

Abstract: With today’s day and age rapidly going digital, the emergence of the Internet of Things has become prominent and IoT systems are now being applied to almost every field. IoT systems can be seen being applied to fields such as healthcare, agriculture, manufacturing, and many more. As IoT systems encompass numerous devices, each of these devices becomes a target for attacks and exploitation; thus, IoT systems have long been associated with issues related to security. Hence, making IoT systems secure and safe is of paramount importance. While the Internet of Things has become a technology that is extremely widespread today due to the wide range of advantages it provides including scalability, dependence, and ease of access; the shortcomings and possible loopholes should also be accounted for. Currently, a client/server model or a centralized model of networking is employed in IoT devices. These devices also use a single gateway to transfer data between them and connect through a cloud server. This model has lots of shortcomings like the high cost of centralized cloud maintenance and network equipment and the cost will continue to rise with the increase in the number of devices and the volume of data. A Single gateway is not very secure as it allows gaining access to a whole IoT network by compromising a single device. To tackle the issue of security, we propose the inclusion of blockchain technology. A Blockchain is a distributed ledger where data is stored across various nodes all over the world, this eliminates the single point of failure. This project proposes the plethora of benefits that blockchain technology offers and aims to tackle the security aspect of IoT systems.
Language Variety Prediction using Word Embeddings and Machine Leaning Algorithms
Authors: Surya Chennam Chandrika , K Karunakar , T Murali Mohan , Kumari R Prasanthi
Published: December 2022

Abstract: Author Profiling is a technique of predicting demographic characteristics like gender, age, location, nativity language, educational background etc., of an author by analysing their written texts. Author profiling is used in several text processing applications like forensics analysis, marketing, security. The author profiling techniques identify the stylistic differences among the author writing styles to identify the demographics of authors. Researchers experimented with various stylistic features like lexical features, content-based features, syntactic features, semantic features, domain specific features, structural features, readability features etc., to identify the stylistic differences among different author’s texts. The dataset plays an important role to analyse the stylistic differences of authors. PAN is one competition organizes different types of tasks in every year to encourage the participants around the globe for providing solutions to different types of text classification problems like plagiarism detection, authorship attribution, authorship verification, authorship profiling, celebrity profiling, style change detection, fake news spreaders detection, hate speech spreaders detection etc. The author profiling task was introduced in 2013 by the organizers of PAN competition. The organizers carefully gather the datasets and make available to the researchers for providing solutions to the problems. Every year the organizers conduct competitions on different sub-tasks of author profiling and provides datasets in different languages and in different genres. In 2017 competition, PAN introduces a task of predicting the language variety of an author. They release the dataset in four languages. In this work, we proposed an approach for English language dataset of language variety prediction. The proposed approach used the word embeddings generated by the Word2Vec model and BERT (Bidirectional Encoder Representations from Transformers) model. The word embeddings are used for generating the document vectors by combining the word embeddings of words those contain in documents. The document vectors are trained with two machine learning algorithms such as support vector machine and random forest. The Random Forest attained best accuracy of 96.87 for language variety prediction when experiment conducted with BERT embeddings
Memory Management in Mobile OS
Authors: Kamble Abhijeet , Kakurle Sahil , Shetkar Manish , Kapshe Malhar
Published: December 2022

Abstract: The mobile phones are increasing day by day and the usage is also increasing. Some of the phones have limited space or do not have much memory due to this user's face issue related to running mobile. For using memory effectively many of the techniques related to memory management are proposed. In this paper, we have reviewed memory management and its optimization techniques in various available mobile OSs, some of the basic techniques are discussed and comparison of various operating systems have been shown in the paper. Some of the details like which operating system is better and various information related to it is mentioned in the paper. Some of the basic solutions to optimize the memory in mobile OS are also mentioned in this paper
To Investigate How Well Industrial Waste Polymer Fibre Performs Physically and Mechanically When Utilised in Concrete Mixtures
Authors: Tiwari Pankaj , Parihar R. S. , Jha Abhay Kumar , Kumar Barun , Misra Rajesh
Published: December 2022

Abstract: While the density of the fiber-reinforced concrete (FRC) is determined right away after the concrete mix has been prepared, the compressive strength and split tensile strength of the FRC are tested 7 and 28 days after it has been cured. As a result of adding polypropylene fibre, new fiber-reinforced concrete (FRC) has a marginally or barely decreased density from 2397 kg/m3 to 2393 kg/m3, according to the results in laboratory. Waste polypropylene fibre boosts the strength of fibre reinforced concrete for all curing ages up to a particular degree (FRC). After that, there is a rapid decline in the strength of the fiber-reinforced concrete (FRC). It is recommended to add 0.5% of polypropylene fibre for maximum strength and minimal brittleness. The inclusion of 0.5% waste polypropylene fibre raises the split tensile strength and compressive strength of the fiber-reinforced concrete by 16.9908% and 9.988470%, respectively (FRC).
The law alteration on artificial intelligence in reducing Islamic bank’s profit and loss sharing risk
Authors: Yuspin Wardah , Wardiono Kelik , Budiono Arief , Gulyamov Said
Published: December 2022

Artificial Intelligence is categorized into the domain of computer science focused on creating intelligent machines that function like humans. Artificial Intelligence supports institutions including Islamic Financial Services in learning, making decisions, and providing useful predictive analytics. The progress and promise that artificial intelligence has made and presented in finance have so far been remarkable, allowing for cheaper, faster, closer, more accessible, more lucrative, and more efficient finance especially during the pandemic Covid-19 when people are required to stay at home yet still doing a banking transaction. Despite the incredible progress and promise made possible by advances in financial artificial intelligence, it nevertheless presents some serious perils and limitations. Three categories of risks and limitations involve the rise of virtual threats and cyber conflicts in the financial system, society's behavioral changes, and legal amendments that cannot respond to technological developments, especially in developing countries. The main objective of this article is to evaluate the operations of the potential risks that may arise in the use of Artificial Intelligence in Islamic finance services, especially dealing with the legal arrangement that is supposed to be in line with business development. Indonesia is a country that adheres to civil law system, in which every legal arrangement is supposed to be based on written law. The lack of this legal system is where the speed of legal changes cannot keep up with the pace of technological development, which is present as a hinder to the development of Artificial Intelligence in the financial system. This article concludes that Artificial Intelligence will have a huge impact in the future on the Islamic Finance industry, but in the Indonesian context, it still needs various efforts to reduce the potential risk that eventually has a big impact on the progress of Islamic banks.
Pengaruh kualitas produk dan pelayanan terhadap kepuasan konsumen di umah lokal coffee and roastery
Authors: Febriyanti Erma Putri
Published: December 2022

Penelitian ini bertujuan untuk mengetahui pengaruh kualitas produk dan pelayanan terhadap kepuasan konsumen di Umah Lokal Coffee & Roastery. Waktu penelitian dilaksanakan tepatnya pada bulan Maret - Juni 2021. Populasi dari penelitian ini adalah pelanggan atau konsumen yang telah melakukan pembelian di Umah Lokal Coffee & Roastery. Pengambilan sampel menggunakan teknik Hair et al dengan jumlah sampel penelitian ini sebanyak 40 responden. Teknik pengambilan sampel untuk menentukan sampel yang akan digunakan dalam penelitian ini menggunakan teknik non-probability sampling yaitu accidental sampling. Data dikumpulkan dengan menggunakan kuesioner dan dokumentasi, kemudian dilakukan analisis kuantitatif. Hasil penelitian menunjukkan kualitas produk dan pelayanan secara simultan berpengaruh positif terhadap kepuasan konsumen dengan tingkat signifikansi 0,000. Kualitas produk secara parsial berpengaruh positif terhadap kepuasan konsumen dengan tingkat signifikansi 0,006. Kualitas pelayanan secara parsial berpengaruh positif terhadap kepuasan konsumen dengan tingkat signifikansi 0,000. Hasil tersebut mengindikasikan bahwa untuk meningkatkan kepuasan konsumen di Umah Lokal Coffee & Roastery, manajemen perlu memperhatikan faktor-faktor kualitas produk dan pelayanan.
Pengaruh motivasi dan komunikasi terhadap kinerja karyawan housekeeping di hard rock hotel bali
Authors: Suardana I Gede
Published: December 2022

Penelitian ini bertujuan untuk mengetahui pengaruh motivasi dan komunikasi terhadap kinerja karyawan housekeeping di Hard Rock Hotel Bali secara parsial dan simultan. Penelitian ini menggunakan metode kuantitatif dengan mengolah data primer melalui kuisioner yang diberikan kepada karyawan di department Housekeeping. Populasi dalam penelitian ini sebanyak 45 responden diambil keseluruhannya. Analisis data yang digunakan yaitu uji asumsi klasik (uji normalitas, uji linearitas, uji autokorelasi, uji multikolinearitas, uji heteroskedastisitas) dan analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa secara simultan motivasi dan komunikasi berpengaruh signifikan terhadap kinerja karyawan, dimana nilai uji F didapatkan dengan Fhitung = 0,988 > Ftabel 0,382 dan nilai signifikansi 0,000 < 0,05. Secara parsial motivasi berpengaruh signifikan (0,000 < 0,05) terhadap kinerja karyawan dengan Thitung = 0,988 > Ttabel 0,382. Komunikasi berpengaruh signifikan terhadap kinerja karyawan dimana Thitung = 0,966 > Ttabel 0,382 dan nilai signifikan (0,000 < 0,05).
Pengaruh motivasi dan lingkungan kerja terhadap kinerja karyawan di aston denpasar hotel & convention center
Authors: Putri Made Ayu Nilasari , Parwati Anak Agung Istri Ari
Published: December 2022

Penelitian ini bertujuan untuk mengetahui pengaruh motivasi dan lingkungan kerja terhadap kinerja karyawan di Aston Denpasar Hotel & Convention Center. Dengan mengambil seluruh pegawai tetap di Aston Denpasar Hotel & Convention Center yang berjumlah 67 orang sebagai populasi dalam penelitian ini. Data dikumpulkan dengan menggunakan kuesioner, kemudian dilakukan analisis kuantitatif, meliputi; uji validitas, uji reliabilitas, uji asumsi klasik, analisis regresi linear berganda, pengujian hipotesis melalui uji F dan uji t, serta analisis koefisien determinasi (R2). Hasil penelitian menunjukkan bahwa motivasi secara parsial berpengaruh positif terhadap kinerja karyawan di Aston Denpasar Hotel & Convention Center dengan tingkat signifikansi 0,001. Selain itu, penelitian ini pula menunjukkan bahwa lingkungan kerja secara parsial berpengaruh positif terhadap kinerja karyawan dengan tingkat signifikansi 0,000. Motivasi dan lingkungan kerja secara simultan berpengaruh positif dan signifikan terhadap kinerja karyawan dengan tingkat signifikansi sebesar 0,000. Hal tersebut mengindikasikan bahwa untuk meningkatkan kinerja karyawan, maka pihak Aston Denpasar Hotel & Convention Center diharapkan lebih memperhatikan faktor yang mempengaruhi motivasi dan lingkungan kerja untuk menghasilkan kinerja karyawan yang berkualitas.
Analisis penerapan standard purchase specification pengadaan bahan pangan kitchen the edge villa resort uluwatu
Authors: Martha I Wayan Pande Aditya
Published: December 2022

Penelitian ini dilaksanakan karena terdapat penerapan standard purchase specification pada pengadaan bahan pangan di kitchen dan belum pernah dilakukan penelitian tentang analisis penerapan standard purchase specification pada pengadaan bahan pangan di kitchen The Edge Villa Resort Uluwatu. Maka penelitian ini bertujuan untuk mengetahui penyebab terjadinya masalah sekaligus menganalisis penerapan standard purchase specification pada pengadaan bahan pangan di kitchen The Edge Villa Resort Uluwatu. Penelitian ini menggunakan data primer dan data sekunder serta menggunakan teknik pengumpulan data wawancara dan observasi terhadap assistant purchasing manager dan executive chef serta dokumentasi standard purchase specification pengadaan bahan pangan di kitchen The Edge Villa Resort Uluwatu. Teknik analisis yang digunakan adalah teknik analisis deskriptif kualitatif yang memaparkan perbandingan antara keseluruhan data yang didapat dengan kenyataan yang terjadi di The Edge Villa Resort Uluwatu. Hasil penelitian ini menunjukkan bahwa dalam penerapannya ada beberapa prosedur pengadaan bahan pangan yang dilakukan oleh bagian purchasing dan prosedur pemesanan bahan pangan yang dilakukan oleh bagian kitchen yang jarang diterapkan yaitu seperti keterlambatan pengiriman barang yang dilakukan oleh vendor ke bagian receiving dan barang yang diterima oleh bagian receiving terkadang tidak sesuai dengan PO dari sisi brand product, size, and quantity. Bagian purchasing dan receiving sebaiknya terus menjaga komunikasi dan tetap teliti dalam pengadaan bahan pangan untuk kitchen The Edge Villa Resort Uluwatu.
Kualitas pempek dengan bahan dasar kulit buah naga mer ah
Authors: Matura Kilang Godam
Published: December 2022

Pempek merupakan salah satu makanan tradisional khas Palembang Sumatra Selatan yang terbuat dari daging ikan yang dihalusakan lalu dicampur dengan tepung tapioka dan bumbu-bumbu. Kulit buah naga merah adalah kulit yang dihasilkan oleh buah naga merah yang merupakan buah dari tanaman jenis kaktus, pengolahan kulit buah naga merah masih sangat kurang padahal kulit buah naga merah memiliki kandungan gizi yang sangat banyak salah satunya kandungan antosianim yang dapat membuat kadar kolestrol menjadi rendah. Pembuatan kulit buah naga merah menjadi pempek ini diharapkan dapat menjadikan kulit buah naga merah yang memiliki harga ekonomis ini lebih berguna dan diharapkan pempek kulit buah naga merah ini menjadi alternatif makanan untuk kalangan vegetarian. Penelitian ini adalah untuk mengetahui kualitas pempek dengan bahan dasar kulit buah naga merah dari segi rasa, warna, aroma, dan tekstur, serta untuk mengetahui daya tahan dan uji minat konsumen. Dalam penelitian ini menggunakan uji P0, P1, dan P2. Teknik analisis yang digunakan yaitu teknik deskriptif kuantitatif untuk uji organoleptik dan uji minat konsumen, sedangkan uji daya tahan menggunakan analisis deskriptif kuantitatif. Hasil dari uji organoleptik sangat baik, sedangkan hasil daya tahan pempek yang disimpan disuhu ruang hanya bertahan sampai hari ke-2 dan untuk pempek yang disimpan di kulkas bertahan sampai hari ke-4. Hasil uji minat konsumen diketahui bahwa pempek dengan bahan dasar kulit buah naga merah memiliki respon minat beli yang bagus dari semua aspek.