bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan Penggunaan Media Sosial pada Orangtua dengan Pola Makan Anak TK Al Ikhlas Kecamatan Arjasa Kangean
Authors: Safira Yura Melly
Published: July 2023

Latar Belakang: Usia prasekolah merupakan anak berusia 3-6 tahun. Diusia ini, anak memiliki kemampuan yang lebih tinggi untuk tumbuh dan berkembang. Pemberian stimulasi serta pola makan yang baik bagi anak, akan bermanfaat bagi proses tumbuh kembang anak. anak usia prasekolah jumlahnya sangat besar di Indonesia, yaitu 20% dari keseluruhan populasi, dalam rentang usia 36 bulan sampai dengan 5 tahun.
Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan penggunaan media sosial pada orangtua dengan pola makan anak di TK Al Ikhlas Kecamatan Arjasa Kangean.
Metode: Penelitian ini menggunakan penelitian secara kuantitatif yang bersifat observasional. Penelitian ini dilakukan menggunakan desain cross sectional study. Sampel diambil dengan Teknik proportional random sampling pada 83 ibu anak TK.
Hasil: Tidak terdapat hubungan antara frekuensi penggunaan media sosial dengan pola makan pada anak (pv=0,218) dan tidak terdapat hubungan antara frekuensi penggunaan media sosial dengan pola asuh pada anak (pv=0,121).
Kesimpulan: Terdapat hubungan penggunaan media sosial pada orangtua dengan pola makan anak di TK Al Ikhlas Kecamatan Arjasa Kangean. Hal ini terjadi karena penggunaan media sosial pada orangtua tergolong singkat, sehingga orangtua tetap dapat memberikan perhatian penuh terhadap anak.
The Relationship Between Gadget Use and the Incidence of Menarche in Adolescents
Authors: Youwena Cornelius , Galifatma Hestya , Fitriyah Nurul
Published: July 2023

Background: Menarche is the occurrence of the first day of menstruation that is felt by every girl. Menarche generally occurs at the age of 12-15 years, but over time there has been a decline in age in the incidence of menarche. There are several factors such as the use of gadgets that have a major impact on the development of hormones in the body.
Objectives: The purpose of this study was to determine how the relationship between the use of gadgets with the incidence of menarche in adolescent.
Methods: This research method was descriptive with cross sectional design. This study used secondary data from the Indonesian Demographic and Health Survey 2017. The survey was conducted in 34 provinces of Indonesia from 24 July to 30 December 2017. The total sample was 10,678 respondents, all young girls aged 15-25 years according to the inclusive criteria (unmarried and menstruating). The variables used are the use of gadgets and the incidence of menarche in adolescents. The data analysis technique used is chi-square bivariate by displaying a frequency distribution table.
Results: The results showed that the majority of respondents always use gadgets by 66.9%, the incidence of menarche in adolescent girls < 10 years (5.8%) and p-value <0.05 on the relationship between gadget use and the incidence of adolescent menarche.
Conclusions: The conclusion of the study shows a relationship between the use of gadgets and the incidence of menarche, so it is necessary to give advice in this study, namely to socialize menarche and provide supervision to control the use of gadgets in adolescents.
Patient Satisfaction with Telehealth During Covid-19 Pandemic: A Literature Review
Authors: Nadia Nurazizzi Setya , Prayoga Diansanto
Published: July 2023

Background: The unfinished Covid-19 pandemic has caused various health services to be disrupted due to limiting face-to-face services. With this, health services must be transformed in order to maximize services with patients even though they cannot be served directly. as many as 71.8% of respondents chose not to go to a hospital or clinic and as many as 65.5% prefer to seek treatment digitally.  
Objectives: To find out the factors of patient satisfaction with telehealth services during the Covid-19 pandemic.
Methods: his study uses a literature review method by applying the PRISMA flowchart. The databases used are Pubmed, Sage Publication, ScienceDirect, Proquest and Wiley Online. After getting the selection process, so that 12 journals were obtained that met the topics developed
Discussion: Patients were satisfied with various telehealth services during this Covid-19 pandemic. Overall, it was found that young people were more accepting and satisfied with telehealth. The costs incurred by patients with the existence of telehealth are lower and the quality of telehealth services consists of patient trust in doctors, doctor-patient relationships, patient privacy is maintained.
Conclusions: Factors of patient satisfaction with telehealth include age, cost and quality of service. Patients recognize that telehealth is very useful and facilitates them in terms of health consultations at a time of various limitations, thus enabling the development of telehealth in the future to be more rapid.
Analisis Infrensial Tingkat Pengetahuan dengan Tindakan Pengelolaan Sampah (Medis dan Non Medis) Rumah Tangga Selama Pandemi Covid-19 di DKI Jakarta
Authors: Heryawan Khairillah Fathinnuzul , Mukono Jojok
Published: July 2023

Latar Belakang: Dalam rentang tahun 2019 – 2021 sumber sampah selalu didominasi oleh sampah rumah tangga, dari total komposisi sampah berdasarkan sumbernya. Pandemi coronavirus disease 2019 (COVID-19) menyebabkan sampah medis meningkat yang bersumber dari sampah rumah tangga. Peningkatan tersebut berisiko menularkan penyakit COVID-19 ke orang banyak apabila tidak dikelola dengan benar.
Tujuan: Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat pengetahuan dengan tindakan pengelolaan sampah secara reduce, reuse, recycle (3R), pemilahan sampah berdasarkan sumber, dan pemisahan sampah medis dan non medis skala rumah tangga selama pandemi COVID-19 di Daerah Khusus Ibukota (DKI) Jakarta
Metode: Metode penelitian ini menggunakan analisis inferensial dan rancang bangun cross sectional study. Responden penelitian ini sebanyak 226 orang yang berdomisili di DKI Jakarta dengan rentang usia 18–60 tahun. Variabel independen penelitian ini adalah pengetahuan masyarakat DKI Jakarta terkait sampah. Variabel dependen antara lain penerapan 3R, pemilahan sampah berdasarkan sumber, dan pemisahan sampah medis dan non medis
Hasil:  penelitian menunjukkan nilai signifikansi antara variabel independen dengan dependen. Nilai signifikasnsi antara pengetahuan dengan penerapan 3R (p=0,395), antara pengetahuan dengan pemilahan sampah berdasarkan sumber (p=0,167), dan antara pengetahuan dengan pemisahan sampah medis dan non medis (p=0,031)
Kesimpulan: Variabel pengetahuan dengan penerapan 3R tidak memiliki hubungan yang siginifikan karena nilai signifikansi p>0,05. Begitu juga antara variabel pengetahuan dengan pemilahan sampah berdasarkan sumber. Namun, antara pengetahuan dengan pemisahan sampah medis dan non medis menunjukan adanya hubungan dengan nilai p-value 0,031 (p<0,05).
ВИКОРИСТАННЯ ЕФЕКТУ ПЕЛЬТЬЄ ДЛЯ ВНУТРІШНЬОСУДИННОГО ОХОЛОДЖЕННЯ ДОНОРСЬКИХ ОРГАНІВ
Authors: Забіло Ярослав , Шликов Владислав , Вовянко Світлана
Published: July 2023

Дана робота присвячена проблемі збереження перфузії донорських органів в умовах контрольованого охолодження. З метою охолодження перспективним є використання ефекту Пельтьє. Зокрема, розглянуто застосування ефекту Пельтьє, який є одним із методів охолодження, що дає змогу використовувати його для збереження та транспортування донорських органів до реципієнтів. Однією з переваг використання ефекту Пельтьє є те, що цей метод охолодження не потребує використання додаткових рідинних охолоджувачів, що дозволяє уникнути потенційних проблем, пов’язаних із забрудненням органів або порушенням їх структури. Крім того, охолодження за допомогою ефекту Пельтьє є досить ефективним і цим процесом можна керувати шляхом зміни електричного струму. Окремою проблемою є розробка конструкції системи внутрішньосудинного охолодження для збереження життєздатності органу, який призначено для трансплантації, з урахуванням його особливостей. Розроблений теплоізоляційний контейнер із системою охолодження має хорошу теплоізоляцію. Для оцінки ефективності системи охолодження було проведено розрахунок втрат охолодження. Згідно з проведеними розрахунками, для охолодження розчину, яким здійснюється перфузія донорського органу, доцільно використовувати елементи Пельтьє, що дає змогу розробити ефективну, компактну та недорогу систему забезпечення життєздатності донорських органів. Застосування такої системи підвищує життєздатність трансплантатів, знижує ймовірність ішемічних та ішемічно-реперфузійних ушкоджень, що супроводжують процес збереження донорських органів.
ПЕРСПЕКТИВИ ВИКОРИСТАННЯ ЕНЕРГІЇ ОРГАНІЗМУ ДЛЯ ЕНЕРГОЗАБЕЗПЕЧЕННЯ МЕДИЧНИХ ПРИЛАДІВ
Authors: Фелді Діана , Козяр Василь
Published: July 2023

Для енергозабезпечення дозуючих, моніторних, стимулюючих медичних приладів, особливо тих, які імплантуються, пропонується використовувати електроенергію, отриману від людського організму.  Електрика може бути отримана в результаті перетворень інших видів енергії, які притаманні  тілу людини: механічної (кінетичної), теплової, енергії окисно-відновлюваних біохімічних реакцій. Завдяки успіхам нанотехнологій з’являється більше можливостей для прогресу в цьому напрямку. З практичної точки зору, використання механічної енергії є найбільш перспективним. Рухи кінцівок або інших частин тіла без додаткового навантаження, навіть несвідомо, здатні забезпечити накопичення енергії, достатньої для  медичних потреб. Генерація тілом теплової енергії є більш стабільною, порівняно із механічними рухами. Тому очікується, що отримання електричної енергії за рахунок конвертації тепла людини з використанням, наприклад, ефекту Зеєбека, буде мати певні переваги в плані гарантованості та надійності.  Існує великий ряд практичних пропозицій отримання електрики для живлення медичних приладів за рахунок біохімічних реакцій, які відбуваються в організмі людини. Ці роботи поки залишаються на експериментальному рівні в пошуку більшої продуктивності. Теоретично, оптимальним є пряме, без перетворень, споживання електрики, яка реєструється при функціонуванні органів. Але при даному рівні наукового  розвитку це практично неможливо.
Eco-Geography of Dioscorea Composita (Hemsl.) and Prediction of Climate Change Effects on Its Current and Future Distribution in México-Central America
Authors: Velázquez-Hernández Jocelyn Maira , Ruíz-Corral José Ariel , Durán-Puga Noé , González-Eguiarte Diego , Santacruz-Ruvalcaba Fernando , García-Romero Giovanni Emmanuel , De La Mora-Castañeda Jesús Germán , Barrera-Sánchez Carlos Félix , Gallegos-Rodríguez Agustín
Published: July 2023

Dioscorea composita is a plant native to México and Central America with a high concentration of diosgenin precursors. Currently, México is one of the two most important countries producers of this yam; however, climate change is altering the environmental conditions of its natural habits, threatening its preservation and productivity. This is why this research was focused to characterize the eco-geography of D. composita and predict its potential geographic distribution under climate change scenarios in México-Central America. A collection of 408 geo-referenced accessions was used to determine its climatic adaptation, ecological descriptors, and the current and future potential geographic distribution, which was modeled with MaxEnt model through the Kuenm R-package. For future climate scenarios, an ensemble of the GCMs HadGEM-ES and CCSM4 was used. Results showed that D. composita adapts to warm humid and very humid agro-climates and that the most contributing variables for its presence are annual and seasonal moisture availability indices, seasonal photoperiod, annual thermal range, Bio14 and Bio11. The year 2050 RCP 4.5 climate scenario would contract the potential distribution of D. composita, whilst the 2050 RCP 8.5 scenario would expand it, indicating that this species could be a good crop option under this scenario of emissions.
The Role of the Urban Design Review Panel in a Masterplanned Community Development: a case study of Hobsonville Point, New Zealand
Authors: Chuang I-Ting , Beattie Lee
Published: July 2023

Design guidelines and the Design Review Panel (DRP) are crucial components in ensuring consistent and high-quality design within masterplan sites. This study focuses on New Zealand, examining the challenges faced by industry partners in adapting to masterplanned design guidelines. The case study centers on Hobsonville Point, the largest Government lead masterplan community in New Zealand, which promotes sustainable and higher-density living—an uncommon concept in the country. We conducted interviews with 18 key stakeholders involved in the development of Hobsonville Point. The results show that the DRP provides flexible judgments and insightful information that better accommodates individual development characteristics than the strict numerical standards specified in design guidelines. This study underscores the importance of DRP in producing good design outcomes, especially when they are involved at the very beginning of the design process. Additionally, we took note of stakeholder concerns about DRP members' expertise and the possible effects of high turnover rates on the design process. To strive for continual improvement, future empirical studies on the DRP process are encouraged to enhance proficiency and dependability. Design guidance should be prioritised to ensure climate-related design is implemented to promote sustainable urban development.
An Anomaly Detection Method based on Multiple LSTM-Autoencoder Models for In-vehicle Network
Authors: You Ilsun , Kim TaeGuen , Kim Jiyoon
Published: July 2023

The CAN protocol is widely adopted for in-vehicle networks due to its cost efficiency and reliable transmission. However, despite its popularity, the protocol lacks built-in security mechanisms, making it vulnerable to various attacks such as flooding, fuzzing, and DoS. These attacks can exploit vulnerabilities and disrupt the normal behavior of the in-vehicle network. One of the main reasons for these security concerns is that the protocol relies on broadcast frames for communication between ECUs within the network. To tackle this issue, this paper presents an intrusion detection system that leverages multiple LSTM-Autoencoders. The proposed system utilizes diverse features, including transmission interval and payload value changes, to capture various characteristics of normal network behavior. By analyzing different types of features separately using the LSTM-Autoencoder model, the system effectively detects anomalies. In our evaluation, we conducted experiments using real vehicle network traffic, and the results demonstrated the system's high precision with a 99% detection rate in identifying anomalies.
Boosting the Self-Trapped Exciton Emission in Cs4SnBr6 Zero-Dimensional Perovskite via Rapid Heat Treatment
Authors: Wu Haixia , Lin Zhenxu , Song Jie , Zhang Yi , Guo Yanqing , Zhang Wenxing , Huang Rui
Published: July 2023

Zero-dimensional (0D) tin halide perovskites feature extraordinary properties, such as broadband emission, high photoluminescence quantum yield, and self-absorption-free characteristics. The innovation of synthesis approaches for high-quality 0D tin halide perovskites has facilitated the flourishing development of perovskite-based optoelectronic devices in recent years. However, discovering an effective strategy to further enhance their emission efficiency remains a considerable challenge. Herein, we report a unique strategy employing rapid heat treatment to attain efficient self-trapped exciton (STE) emission in Cs4SnBr6 zero-dimensional perovskite. Compared to the pristine Cs4SnBr6, rapid thermal treatment (RTT) at 200°C for a duration of 120 seconds results in an augmented STE emission with photoluminescence (PL) quantum yield rising from an initial 50.1% to a substantial 64.7%. Temperature-dependent PL spectra analysis, Raman spectra, and PL decay traces reveal that the PL improvement is attributed to the appropriate electron-phonon coupling as well as the increased binding energies of STEs induced by the RTT. Our findings open up a new avenue for efficient luminescent 0D tin-halide perovskites toward the development of efficient optoelectronic devices based on 0D perovskites.
Predictive Eye Movements Characterize Active, Not Passive, Participation in Collective Embodied Learning of a Scientific Concept
Authors: Zohar Roni , Karp Ofer , Ben-Joseph Tchiya , Ahissar Ehud
Published: July 2023

Abstract: Embodied pedagogy maintains that teaching and learning abstract concepts can benefit significantly from integrating bodily movements in the process. Here we explored the involvement of eye movements in the process of collective embodied learning of a concept in physics - angular velocity. Embodied learning was accomplished by the subjects forming a line that rotated around a central object, in this case, a bottle. We tracked the gaze resulting from eye and head movements in 12 subjects, who both actively participated in the collective embodied exercise and passively watched it. The tracking data of 7 of these 12 subjects passed our tracking reliability criteria in all trials and are reported here. During active learning, the learners tended to look ahead of the rotating line (by 35.18±14.82 degrees). In contrast, while passively watching others performing the task, the learners tended to look directly at the line. Interestingly, while the learners were performing the collective exercise they were unaware of looking ahead of the rotating line. We discuss possible differences between active and passive embodied learning that might be indicated by the observed differences in gaze control.
Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle
Authors: Chandran Navaneetha Krishna , Sultan Mohammed Thariq Hameed , Łukaszewicz Andrzej , Shahar Farah Syazwani , Holovatyy Andriy , Giernacki Wojciech
Published: July 2023

Unmanned aerial vehicle (UAV) usage is increasing drastically worldwide as UAVs are used in various industries for many applications, such as inspection, logistics, agriculture, and many more. This is because performing a task using UAV makes the job more efficient and reduces the workload needed. However, for a UAV to be operated manually or autonomously, the UAV must be equipped with proper safety features. An anti-collision system is one of the most crucial and fundamental safety features that UAVs must be equipped with. The anti-collision system allows the UAV to maintain a safe distance from any obstacles. The anti-collision technologies are of crucial relevance to assure the survival and safety of UAVs. Anti-collision of UAVs can be varied in the aspect of the use of sensors and the system’s working principle. This article provides a comprehensive overview of anti-collision technologies for UAVs. It also presents drone safety laws and regulations that prevent a collision at the policy level. The process of anti-collision technologies is studied from three aspects: Obstacle detection, collision prediction, and collision avoidance. A detailed overview and comparison of the methods of each element and an analysis of their advantages and disadvantages have been provided. In addition, the future trends of UAV anti-collision technologies from the viewpoint of fast obstacle detection and wireless networking are presented.
Management of Acute Cholecystitis in High-Risk Patients: Percutaneous Gallbladder Drainage as a Definitive Treatment vs. Emergency Cholecystectomy. Systematic Review and Meta-Analysis
Authors: Cirocchi Roberto , Amato Lavinia , Ungania Serena , Buononato Massimo , Tebala Giovanni , Avenia Stefano , Cozza Valerio , Costa Gianluca , Davies Justin , Sapienza Paolo , Coccolini Federico , Mingoli Andrea , Chiarugi Massimo , Brachini Gioia
Published: July 2023

Background: This systematic review aims to investigate whether percutaneous transhepatic gallbladder drainage (PTGDB), as definitive treatment, is superior to emergency cholecystectomy (EC) in high-risk patients with acute cholecystitis (AC).
Material and methods: A systematic literature search was performed until December 2022 using Scopus, Medline/PubMed and Web of Science databases in order to compare PTGDB as definitive treatment vs EC in AC.
Results: Seventeen studies (1 Randomized Control Trials and 16 observational studies) have been included with a total of 783,672 patients (32,634 treated with PTGDB vs 4,663 who underwent laparoscopic cholecystectomy, 343 who underwent open cholecystectomy and 746,032 who underwent cholecystectomy, but without laparoscopic or open approach being specified). The quality assessment (ROBINS-I) of the not randomized studies showed a serious risk, differently the evaluation of the randomized study (RoB 2) showed a low risk of bias. Analysis of the results shows that PTGDB, despite being minimally invasive, do not have different incidence of complications than EC (RR 0.77 95% CI [0.44 to 1.34]; I2 = 99%; P=0.36). A lower postoperative mortality was reported in patients who underwent EC (2.37%) than in PTGDB group (13.78 %) (RR 4.21; 95% CI [2.69 to 6.58]; P < 0.00001), furthermore the risk of hospital readmission for biliary complications (RR 2.19 95% CI [1.72 to 2.79]; I2 = 48 %; P<0.00001) and hospital stay (MD 4.29 95% CI [2.40 to 6.19]; P<0.00001) were lower in EC group.
Conclusions: No advantage in using PTGDB as a definitive treatment over EC in the management of critically ill patients with AC has been demonstrated; the results of our systematic review and meta-analysis suggest using EC as the treatment of first choice, even for very high-surgical-risk patient in which PTGDB should be reserved. The major limitation of this systematic review and meta-analysis is associated to a low quality of evidence for the serious bias in the not randomized studies. For this reason, new high powered and well-designed clinical trials are needed to recommend PTGDB as definitive treatment in patients unfit for surgery or those who refuse to undergo surgery.
A Novel Approach-Based Sparsity for Damage Localization in Functionally Graded Material
Authors: Ghandourah Emad , Bendine Kouider , Khatir Samir , Benaissa Brahim , Banoqitah Essam Mohammed , Alhawsawi Abdulsalam Mohammed , Moustafa Essam B.
Published: July 2023

Model-based approaches form the basis of the majority of damage detection and localization studies; however, built-in online detection technique can offer an alternative for future structural health monitoring technologies. Thus, in this paper, we present a dynamic localization algorithm for damage localization in functionally graded plates. The method depends on the creation of a grid matrix that contains the dynamic response of the structure over time. Subsequently, an optimization process is carried out via a linear equation representing the information contained within the grid to achieve accurate localization of damage. Due to the inherent sparsity of the localization nature, the FISTA algorithm has been employed as a problem solver. The approach is tested in the case of the functionally graded plate under clamped free boundary conditions. Several, damage scenarios were investigated for the case of damage signals on and off the grid. The results show that the proposed approach is capable of accurately predicting damage position and can be suitable for use in low size data systems.
The Effect of Corporate Social Responsibility on Brand Equity in the Banking Industry: The Mediating Role of Brand Credibility and Brand Image
Authors: Negassa Gebeyehu Jalu
Published: July 2023

The present research endeavours to examine the impact of customers' perceptions regarding a firm's dedication to corporate social responsibility (CSR) on their allegiance to particular banking brands. The mediating factors of brand credibility and image help to facilitate the indirect relationship between corporate social responsibility (CSR) and brand equity, which is the focus of this study. The objective of the research is to investigate the plausible causal association among perceived corporate social responsibility, brand image, brand credibility, and brand equity. The study's data was obtained by conducting a survey among a sample of 320 banking customers in Ethiopia. In order to perform a thorough examination of the data, AMOS version 24.0 and structural equation modelling (SEM) methodologies were employed. The present research endeavours to broaden the conventional comprehension of the advantages that corporate social responsibility (CSR) offers to customers. It aims to address a void in the current literature by scrutinising the impacts of customers' perceptions of CSR, brand credibility, and brand image on their allegiance towards particular banking service brands. The findings of this study carry substantial implications for financial institutions, and the conclusions derived from the results are of considerable significance.
Spatiotemporal and Individual Patterns of Domestic Cat (Felis catus) Hunting Behaviour in France
Authors: Castañeda Irene , Marie-Amélie Forin-Wiart , Pisanu Benoît , De Bouillane de Lacoste Nathalie
Published: July 2023

Domestic cats (Felis catus) are widespread worldwide as the most popular pets. This medium-sized carnivore have well-known negative effects on biodiversity, but there is still need to better understand the proximate causes of its predation. Based on a citizen science project, we assessed the role of spatiotemporal (i.e., latitude, longitude and seasons), climatic (i.e., rainfall), anthropogenic (i.e., human footprint, HFI) and individual (i.e., sex and age) variables on the number of preys returned home by cats in metropolitan France. Over the 5 048 cats monitored between 2015 and 2022, prey from 12 different classes (n= 36 568) were returned, being 68% mammals, 21% birds and 8% squamates. Shrews brought home by cats peaked during summer, while rodents were recorded during summer-autumn. Birds brought home by cats peaked in spring-summer and in autumn, and lizards in spring and in late summer. Lower HFI was associated with more voles and mice brought home and the opposite trend was observed for lizards and birds. Younger cats were more prone to bring home shrews, birds and reptiles. Although environmental factors play a minor role in prey brought home by cats, some geographical characteristics of prey species distribution partly explains the hunting behaviour of cats.
Tumor-Specific Targeting of Polymer Drug Delivery Systems with Recombinant Proteins Bound via Tris(Nitrilotriacetic Acid)
Authors: Pechar Michal , Král Vlastimil , Woldřichová Lucie , Androvič Ladislav , Hrdá Eliška , Pola Robert , Pytlíková Sára , Studenovský Martin , Kostka Libor , Šubr Vladimír , Etrych Tomáš , Kočková Olga , Ferreira Mendes Jéssica Mariane , Fábry Milan , Laga Richard
Published: July 2023

Antibody-mediated targeting is an efficient strategy to enhance the specificity and selectivity of polymer nanomedicines towards the target site, typically a tumor. However, direct covalent coupling of an antibody with a polymer usually results in a partial damage of the antibody binding site accompanied with a compromised biological activity. Here, an original solution based on well-defined non-covalent interactions between tris-nitrilotriacetic acid (trisNTA) and hexahistidine (His-tag) groups, purposefully introduced to the structure of each macromolecule, is described. Specifically, trisNTA groups were attached along the chains of a hydrophilic statistical copolymer based on N-(2-hydroxypropyl)methacrylamide (HPMA), and at the end or along the chains of thermo-responsive di-block copolymers based on N-isopropylmethacrylamide (NIPMAM) and HPMA; His-tag was incorporated to the structure of a recombinant single chain fragment of an anti-GD2 monoclonal antibody (scFv-GD2). Static and dynamic light scattering analyses confirmed that mixing of polymer with scFv-GD2 led to the formation of polymer/scFv-GD2 complexes; those prepared from thermo-responsive polymers formed stable micelles at 37 °C. Flow cytometry and fluorescence microscopy clearly demonstrated antigen-specific binding of the prepared complexes to GD2 positive murine T-cell lymphoma cells EL-4 and human neuroblastoma cells UKF-NB3, while no interaction with GD2 negative murine fibroblast cells NIH-3T3 was observed. These non-covalent polymer protein complexes represent a new generation of highly specific actively targeted polymer therapeutics or diagnostics.
Optimization of Thermal Energy Harvesting Road Pavement using Sustainable Conductive Material in Malaysia by Numerical Simulation
Authors: Razeman Nurul Aqilah , Itam Zarina , Beddu Salmia , Zawawi Mohd Hafiz , Zahari Nazirul Mubin , Syamsir Agusril , Mohd Kamal Nur Liyana , Mohamad Daud , Abdul Razak Norizham
Published: July 2023

Solar pavement technology has numerous benefits for advanced life and environmental protection, including reduced fossil fuel usage, reduction harmful emissions from conventional electricity generation and handy reliable electricity via solar energy. This paper aims to find an alternative for cost effective renewable energy sources is in conjunction with the principles of sustainability. This research studies whether the application of thermal energy harvesting road pavement using sustainable conductive piping such as stainless steel, copper, and aluminium are feasible in Malaysia. The scope of the paper is to optimize the suitable parameters for different materials of thermal energy harvester such as pipe material, pipe depth inserted into pavement, types of pipe arrangement, pipe spacing, and flow rate for maximum thermal energy extraction using numerical simulation. The simulation is testing under engineering software ANSYS Workbench 19.2 (Fluent) and Solidworks 2020 to develop project prototype from optimize thermal energy harvester. Thus, serpentine copper pipe shows the highest heat efficiency which is 32.22% with the temperature outlet of 327.35K (54.21°C) at the pipe located at 50 mm from the surface pavement with the pipe spacing of 80 mm centre-to-centre.
Banana Peel Powder Biosorbent for Removal of Hazardous Organic Pollutants from Wastewater
Authors: Farias Kelly C. S. , Guimarães Rita C. A. , Oliveira Karla , Nazario Carlos E. D. , Ferencz Julio A. P. , Wender Heberton
Published: July 2023

Disposing pollutants into water sources has posed risks to human health and the environment, and biosorption has emerged as an eco-friendly, cost-effective, and green alternative for wastewater treatment. This work shows banana peel powder (BPP) biosorbents for efficient sorption of methylene blue (MB), atrazine, and glyphosate pollutants. The biosorbent highlights several surface chemical functional groups and morphology containing agglomerated microsized particles and microporous structures. BPP showed 66% elimination of MB in 60 min, with an adsorption capacity (qe) of ~33 mg g-1, where a combination of film diffusion and chemisorption governed the sorption process. Besides, the biosorbent removed 91% and 97% of atrazine and glyphosate pesticides after 120 min, with qe of 3.26 and 3.02 mg g-1, respectively. The glyphosate and atrazine uptake best followed the Elovich and pseudo-first-order kinetic, respectively, revealing different sorption mechanisms. Our results suggest that BPP are low-cost biomaterials for green and environmentally friendly wastewater treatment.
Saxitoxin-Producing Raphidiopsis raciborskii (Cyanobacteria) Constrains Daphnia Fitness and Feeding Behavior Despite of High Nutritious Food Availability
Authors: Dos Reis Gabriele Costa , De Carvalho Gustavo H. A. , Vilar Mauro , Azevedo Sandra M. F. O. , Ferrão-Filho Aloysio da Silva
Published: July 2023

Changes in food quality can dramatically impair zooplankton fitness, especially in eutrophic water bodies where cyanobacteria are usually predominant. Cyanobacteria are considered a food with low nutritional value, besides some species can produce bioactive secondary metabolites reported as toxic to zooplankton. Considering that cyanobacteria can limit survival, growth and reproduction of zooplankton, we hypothesized that the adverse effects of the dietary exposure of Daphnia species to saxitoxin-producing cyanobacteria depend on the relative abundance of nutitious food source in the diet. Life table experiments were conducted with different diets: 1) without nutritional restriction, where neonates were fed with diets at a constant green algae (Monoraphidium capricornutum) biomass as a nutritious food source, and increasing cyanobacterial concentration (STX-producing Raphidiopsis raciborskii), and 2) with diets consisting of different proportions of M. capricornutum (nutritious) and R. raciborskii (poor food) at a total biomass 1.0 mg C L 1. In general, the presence of high proportions of cyanobacteria promoted a decrease in Daphnia somatic growth, reproduction and intrinsic rate of population increase (r) in both diets with more pronounced effects in the nutritionally restricted diet (90% R. raciborskii). Two-way ANOVA revealed significant effects of species/clone and treatments in both assays, with significant interaction between those factors only in the second assay. Regarding the grazing assay, only D. laevis was negatively affected by increased cyanobacterial proportions in the diet. In the life table assay with constant edible food, a reduction in the reproduction parameters and the intrinsic rate of population increase (r) of all species was observed, In conclusion, we found adverse effects of the toxic cyanobacterial strain R. raciborskii on Daphnia fitness, regardless of the constant amount of nutritious food available, proving the toxic effect of R. raciborskii and the nutritional quality of the food has a greater influence on the fitness of these animals.
Artificial Intelligence: A Blessing or a Threat for Language Service Providers in Portugal
Authors: Tavares Célia , Oliveira Luciana , Duarte Pedro , Da Silva Manuel Moreira
Published: July 2023

According to a recent study by OpenAI, Open Research, and the University of Pennsylvania, large language models (LLMs) based on artificial intelligence (AI), such as Generative Pretrained Transformers (GPTs), may have potential implications on the job market, specifically regarding job occupations that demand writing or programming skills. The research points out Interpreters and Translators as one of the main job occupations with greater exposure to AI in the US job market (76.5%). This article, following a mixed-methods survey-based research, provides insights into the Portuguese Language Service Providers (LSPs) awareness and knowledge about AI, specifically regarding neural machine translation (NMT) and large language models (LLM), its actual use and usefulness, as well as their potential influence on work performance and labour market. The results show that most professionals are unable to identify if AI and/or automation technologies support the tools that are most used in the profession. The usefulness of AI is essentially low to moderate and the professionals who are less familiar with it and less knowledgeable also demonstrate lack of trust in it. Two thirds of the sample estimate negative or very negative effects of AI in the profession, expressing as main concerns the devaluation and replacement of experts, the reduction of income, and the reconfiguration of the career of translator to mere post-editors.
Phonon Dispersion Curves of Silver (Ag) and Gold (Au): Application of Density Functional Theory and Inter – Atomic Force Constant
Authors: Enaroseha Omamoke , Oyibo Obed , Isioma M. EZEH Isioma , OSIGA – AIBANGBEE Damaris
Published: July 2023

The Computational theoretical techniques using first principle which make use of the density functional theory as implemented by quantum expresso as well as inter – atomic force constant (IFC) techniques (Born-von Jarman) were used to investigate the phonon dispersion curves of Silver (Ag) and Gold (Au) The results obtained show that for Au, the extension to 1 – 6th neighbour gave slightly close agreement with the experimental phonon dispersions when compared to the 1 – 5th neighbor at WT and LL symmetry points. The percentage error for Au at WT are 2.5% and 2.9% ; at point LL we obtained 0.6% and 0.7% respectively. The Local density Approximation (LDA) results for Ag underestimates the lattice with about 1.6% while the Generalized Gradient Approximation (GGA) overestimates it by 1.9%.
Dielectric Elastomer Multi-Sensors and Tactile Actuators for Robot Fingers in Human-Robot Interaction
Authors: Chiba Seiki , Waki Mikio
Published: July 2023

Conventional sensors used to measure properties such as deformation or pressure, etc. often make use of metals, ceramics, piezos, and other materials. Many of those materials are very hard, so if they are used as sensors, when the object is deformed, or when the pressure on the object changes from time to time, it is necessary to prepare a variety of sensors with different properties. In this experiment, a dielectric elastomer (DE) pressure sensor was fabricated using a hydrogenated nitrile rubber (HNBR) film with improved hardness and elongation. With this, even very thin film (0.2mm) can be measured at any pressure between 1gf and 20kgf. Previously developed film was harder and less stretchy than the current one, with a pressure detection width from 4 kgf to 120 kgf. This time, however, the pressure sensitivity of the finger has been made more sensitive, making it possible to measure even smaller values. A DE stretch sensor was also developed using single-walled carbon nanotube (SWCNT) electrodes with larger stretchability and flexibility, utilizing this HNBR. This greatly improved the mechanical flexibility and stretchability of the DES. Using this stretch sensor, it became possible to sense the motion of the robot's fingers, and to sense the force (pressure) when the fingertip touched the target object with the DE pressure sensor. In addition, it was confirmed that the sensation of the robot's finger touching an object can be fed back to a human finger by using a small diaphragm type vibrator DE actuator.
Examining the Potential of Generative Language Models for Aviation Safety Analysis: Case Study and Insights using the Aviation Safety Reporting System (ASRS)
Authors: Tikayat Ray Archana , Bhat Anirudh Prabhakara , White Ryan T , Nguyen Van Minh , Pinon Fischer Olivia J , Mavris Dimitri N
Published: July 2023

This research investigates the potential application of generative language models, especially ChatGPT, in aviation safety analysis as a means to enhance the efficiency of safety analyses and accelerate the time it takes to process incident reports. In particular, ChatGPT was leveraged to generate incident synopses from narratives, which were subsequently compared with ground truth synopses from the Aviation Safety Reporting System (ASRS) dataset. The comparison was facilitated by using embeddings from Language Learning Models (LLMs), with aeroBERT demonstrating the highest similarity due to its aerospace-specific fine-tuning. A positive correlation was observed between synopsis length and their cosine similarity. In a subsequent phase, human factor issues involved in incidents as identified by ChatGPT were compared to human factor issues identified by safety analysts. A concurrence rate of 61\% was found, with ChatGPT demonstrating a cautious approach towards attributing human factor issues. Finally, the model was used to attribute incidents to relevant parties. As no dedicated ground truth column existed for this task, a manual evaluation was conducted. ChatGPT attributed the majority of incidents to the Flight Crew, ATC, Ground Personnel, and Maintenance. This study opens new avenues for leveraging AI in aviation safety analysis.
High Efficient Anchor-Free Oriented Small Objects Detection for Remote Sensing Images via Periodic Pseudo-Domain
Authors: Wang Minghui , Li Qingpeng , Gu Yunchao , Pan Junjun
Published: July 2023

With the continuous progress of remote sensing image object detection tasks in recent years, researchers in this field have gradually shifted the focus of their research from horizontal object detection to the study of object detection in arbitrary directions. It is worth noting that some properties are different from the horizontal object detection during oriented object detection that researchers have yet to notice much. This article presents the design of a straightforward and efficient arbitrary-oriented detection system, leveraging the inherent properties of the orientation task, including the rotation angle and box aspect ratio. In the detection of low aspect ratio objects, the angle is of little importance to the orientation bounding box, and it is even difficult to define the angle information in extreme categories. Conversely, in the detection of objects with high aspect ratios, the angle information plays a crucial role and can have a decisive impact on the quality of the detection results. By exploiting the aspect ratio of different targets, this letter proposes a ratio-balanced angle loss that allows the model to make a better trade-off between low-aspect ratio objects and high-aspect ratio objects. The rotation angle of each oriented object, which we naturally embed into a two-dimensional Euclidean space for regression, thus avoiding an overly redundant design and preserving the topological properties of the circular space. The performance of the UCAS-AOD, HRSC2016, and DLR-3K datasets show that the proposed model in this paper achieves a leading level in terms of both accuracy and speed. The code is released at https://github.com/minghuicode/Periodic-Pseudo-Domain.
Stochastic Ordering Results on Implied Lifetime Distributions under a Specific Degradation Model
Authors: Kayid Mohamed , Alshagrawi Lolwa
Published: July 2023

In this paper, a novel strategy is adopted in a degradation model to affect the implied lifetime distribution. The multiplicative degradation model is utilized as a postulate in the model. It will be established that the implied lifetime distribution forms a classical mixture model. In this mixture model, time-to-failure is lying with some probabilities between two first passage times of the degradation process to reach two specified levels. Stochastic comparisons in the model under a change in the probabilities are studied. Several examples are provided to highlight the applicability of the results in the cases when typical degradation models are candidate.
Comparison of Performance of Micro-Computed Tomography (Micro-CT) and Synchrotron Radiation CT in Assessment of Coronary Stenosis Caused by Calcified Plaques
Authors: Ng Curtise K. C. , Sun Zhonghua , Jansen Shirley
Published: July 2023

Synchrotron radiation computed tomography (SRCT) allows more accurate calcified plaque and coronary stenosis assessment as a result of its superior spatial resolution, however, typical micro-computed tomography (micro-CT) systems have even higher resolution. The purpose of this study was to compare performance of high-resolution micro-CT with SRCT in the assessment of calcified plaques and a previously published dataset of coronary stenosis assessment. This experimental study involved micro-CT scanning of three-dimensional printed coronary artery models with calcification in situ used in our previously published SRCT study on coronary stenosis assessment. Measurements of coronary stenosis utilizing both modalities were compared using a paired sample t-test. The degrees of stenosis measured on all but one micro-CT dataset were statistically significantly lower than the corresponding SRCT measurements reported in our previous paper (p<0.0005-0.05). This indicates that the superior spatial resolution of micro-CT was able to further reduce over-estimation of stenosis caused by extensive calcification of coronary arteries and hence false positive results. This study shows that high-resolution micro-CT outperforms SRCT in both calcified plaque and coronary stenosis assessment. This finding will become clinically important for cardiovascular event prediction and enable reclassification of individuals with low and intermediate risk into appropriate risk categories when the technical challenges of micro-CT in clinical practice such as the small field of view and demanding on image processing power are addressed.
Tests of the Tethered Class C3 Hexacopter in Maritime Conditions on the Landing Pad of a Ferry
Authors: Kownacki Cezary , Ambroziak Leszek , Ciężkowski Maciej , Wolniakowski Adam , Romaniuk Sławomir , Kulesza Zbigniew , Bożko Arkadiusz , Ołdziej Daniel
Published: July 2023

Various UAV applications, especially those based on reconnaissance and observation missions, often require an unlimited time of flight. This is possible only when a UAV is being continuously power supplied from the ground power source, and that is why tethered UAV systems were developed. Tethered UAV systems are based on multicopters which can hover above the landing pad, or track its position in the case it is movable. The presented research is about the development of a large C3 class hexacopter having a maximal payload of about 1 kg, and takeoff mass of 16 kg, which was tested in maritime conditions during the ferry’s cruise. The main purpose of the hexacopter is the continuous observation of the area ahead of a vessel to detect and localize obstacles in the water. During experimental tests critical phases of flight were identified, the AC-DC power supply unit as well as the power cord unwinder were tested, and the power taken by six BLDC motors was registered. The obtained results can be useful in future work on tethered UAV systems used in windy maritime conditions.
Joint Latency-Oriented, Energy Consumption, and Carbon Emission for Space-Air-Ground Integrated Network with New Designed Power Technology
Authors: Wang Yonghao , Li Bo , He Jiahao , Dai Jiaxing , Yang Yuxin , Liu Yidong
Published: July 2023

The ubiquitous connectivity for the space-air-ground integrated network (SAGIN) of the beyond fifth generation of communication and sixth generation of communication (B5G/6G) is envisaged to meet the needs for the demanded quality of service (QoS), green communication, and "dual carbon" target. However, the offloading and computation of massive latency-sensitive tasks dramatically increases the energy consumption of the network. Furthermore, the traditional power supply technology of the network base stations (BSs) enhances the carbon emission. To address these issues, we first propose a SAGIN architecture with energy harvesting devices, where the BS is powered by both renewable energy (RE) and the conventional grid. The BS explores wireless power transfer (WPT) technology to power the unmanned aerial vehicle (UAV) for stable network operation. RE sharing between neighbouring BSs is designed to fully utilize RE for reduce carbon emission. Secondly, on the basis of task offloading decision, UAV trajectory, and RE sharing ratio, we construct cost functions with joint latency-oriented, energy consumption, and carbon emission. Then, we develop a twin delayed deep deterministic policy gradient (TD3PG) algorithm based on deep reinforcement learning to minimize the cost function. Finally, simulation results demonstrate that the proposed algorithm outperforms the benchmark algorithm in terms of reducing latency, energy saving, and lower carbon emission.