bluuebunny/crossref_metadata_2025 huggingface dataset:
Condition Monitoring and Fault Diagnosis of a Marine Diesel Engine with Machine Learning Techniques
Authors: Kocak Gazi , Gokcek Veysel , Genc Yakup
Published: June 2023

A marine engine room is a complex system in which many different subsystems are interacting with each other. At the center of this system is the main diesel engine which produces the propulsion force. Many other components such as compressed air, cooling, heating, lubricating oil, fuel, and pumping systems act as auxiliary machines to the main engine. Automation of many functions in the engine room is starting to play an important role in new generation ships to provide better control using sensors monitoring the engine and its environment. Sensors exist in the current generation ships, but engineers evaluate the sensor data for the presence of any problems. Maintenance actions are taken based on these manual analyses or regular maintenance is carried out at times determined by manufacturers, whether such actions are needed or not. With machine learning, it is possible to develop an algorithm using past evaluations made by engineers. Recent studies show that highly accurate results can be obtained using machine learning methods when there is sufficient data. In this study, we develop new learning-based algorithms and evaluate them on data obtained from a realistic ship engine room simulator. Data for a predetermined set of parameters of a high-power diesel engine were collected and analyzed for their role in a set of fault situations. These fault conditions and the associated sensor data are used to train a set of classifiers achieving fault detection up to 99% accuracy. These are promising results in preventing future damage to the engine or its supporting components by predicting failures before they occur.
Parent Coaching via Telepractice for Children From Latinx Backgrounds With Autism Spectrum Disorder
Authors: Yllades Valeria A. , Ganz J. B. , Wattanawongwan Sanikan , Dunn Claudia , Pierson Lauren M.
Published: June 2023

Individuals with autism spectrum disorder from bilingual homes have to learn two languages and to discriminate which language to use across settings and people. Language instruction for this population is complicated by the core deficits in social-communication common in individuals with autism spectrum disorder. Language barriers create conflict between families and practitioners. Using a single case, multiple probe design across three parent-child dyads between 3-6 years from culturally and linguistically diverse backgrounds, the present study examined the effect of telepractice-based parent coaching in a multimodal communication intervention. Culturally responsive approaches were integrated within the coaching model, including targeted interview questions. Results indicate that the use of culturally-responsive telepractice parent coaching was effective. We can conclude that this approach can be a beneficial tool to help family members improve communication for bilingual children with autism spectrum disorder.
S M Nazmuz Sakib’s Hypothesis of Aerosol-Sea Ice Feedback: Implications for Climate System Dynamics
Authors: Sakib S M Nazmuz
Published: June 2023

This research paper explores S M Nazmuz Sakib’s hypothesis of aerosol-sea ice feedback and its implications for climate system dynamics. The hypothesis suggests that changes in aerosol emissions significantly impact sea ice concentration and thickness in the Arctic, which, in turn, affect aerosol transport and deposition over the Tibetan Plateau. The paper presents a comprehensive analysis of the hypothesis, including the underlying facts, a proposed formula for the aerosol-sea ice feedback, and the potential variations of this feedback based on regional and temporal patterns of aerosol emission changes. Furthermore, the paper introduces the Sea Ice-Aerosol-Cloud Feedback (SIACF) Index and its application to historical incidents related to aerosol emission changes. The SIACF Index provides a quantitative measure to evaluate the influence of changes in aerosol emissions on sea ice concentration and thickness. The paper concludes by emphasizing the importance of testing this hypothesis through global aerosol models, observations, and historical incidents to gain a deeper understanding of aerosol-climate interactions and develop effective mitigation strategies.
Etika Engineer Filsafat Teori dan Aplikasi
Authors: Sufrianto  , Sunaryo  , Sufrianto.
Published: June 2023

Buku ini berisikan tentang Etika Engineer yang di illustrasikan mulai dari filsafat, teori dan aplikasi yang dapat menjadi bahan ajar pada Fakultas Teknik.
Cosmogenic nuclide dating conundrum for retreat of the Laurentide Ice Sheet and the critical roles of geomagnetic and heliomagnetic modulation of cosmic ray flux
Authors: Kent Dennis , Lanci Luca , Peteet Dorothy
Published: June 2023

What we regard as anomalously old 10Be exposure dates reported from the terminal moraine of the Laurentide Ice Sheet (LIS) in northeastern North America, such as recently published for Allamuchy NJ, ostensibly point to the start of deglaciation at 25 thousand calendar years before present (cal. ka). These dates are well within the conventional age span of the Last Glacial Maximum (LGM) and are in stark contrast with published 14C accelerator mass spectrometry (AMS) dates for earliest terrestrial plant macrofossils found in LIS deglacial clay deposits that range back to only ~16 cal. ka, which more plausibly coincide with the known timing of the glacio-eustatic rise and meltwater discharge to the North Atlantic and Gulf of Mexico that mark the demise of the LGM in the marine record. To explore possible explanations for this inconsistency, we first employed a statistical model of the geomagnetic field that includes secular variation with nondipole terms and can be applied globally. The model results in a decrease in the magnetic shielding factor by about 10% at mid-latitudes compared to oft-used geomagnetic scaling schemes. However, the time-integrated axial dipole moment estimated separately suggests little overall change in average shielding since about 20 cal. ka. This seems to leave cosmic ray flux modulated by a time-varying heliomagnetic field linked to sunspot activity as an underestimated factor in widely used 10Be exposure age calculators. If generally biased by about 23% higher compared to modern levels as reported for the past 9.4 cal. ka, the elevated high cosmic ray flux would make 10Be reference production rates proportionately higher, to about 5.5 at/g/y at sea level-high latitude, and reduce exposure ages to about 3/4 of those that have been previously calculated for LGM and younger rocks (to less than 20 cal. ka in the case of Allamuchy). Varying but generally higher solar modulation will require reevaluation of cosmogenic exposure dates in general, as in the case of Allamuchy, that would allow improved synchronization of marine and terrestrial records of glaciation. Other test cases can result in improved GIA deglaciation models and alternative estimates of effects of shielding in ice-flow models.
Simulation-based Active Learning for Systematic Reviews: A Scoping Review of Literature
Authors: Teijema Jelle Jasper , Ribeiro Guilherme , Seuren Sofie , Anadria Daniel , Bagheri Ayoub , van de Schoot Rens
Published: June 2023

This scoping review investigated the utility of active learning in accelerating the systematic review process. We reviewed literature from 2006 onwards and selected 60 relevant articles out of 1887 screened, while incorporating 238 out of 336 collected datasets. Our analysis of the articles found that, despite some limitations, all 60 articles provided positive recommendations for using active learning to improve the efficiency of the screening phase in systematic reviews. Future research should focus on standardizing metrics, promoting open data, and diversifying models to advance active learning in systematic reviews.
Protective Factors in Borderline Personality Disorder: A Multi-study Analysis of Conscientiousness, Distress Tolerance, and Self-Compassion
Authors: Southward Matthew W. , Howard Kristen , Christensen Pacella Kara Alise , Cheavens Jennifer S.
Published: June 2023

Background: Despite a growing literature characterizing risk factors associated with the development and maintenance of borderline personality disorder (BPD), substantially less is known about potentially protective factors in BPD. Methods: In a sample of online (n = 272) participants with likely BPD, major depressive disorder (MDD), or no disorder (ND) and an independent sample of in-person (n = 90) participants diagnosed with BPD, MDD, or ND, we tested the cross-sectional and longitudinal associations among BPD features and three putatively protective personality, cognitive, and affective-behavioral factors: conscientiousness, self-compassion, and distress tolerance. Results: Only conscientiousness was significantly lower in BPD than MDD (ds: .67-.73) across both studies and more strongly related to BPD features (rs: –.68 - –.59) than MDD symptoms (rs: –.49 - –.43) in dimensional analyses across both studies. However, in a multiple regression analysis including all three factors in Study 1, only self-compassion predicted decreases in BPD features (B = –.28) and MDD symptoms (B = –.21) over one month. Limitations: Study 1 participants completed all measures online and exhibited some differential attrition at one month follow-up. Study 2 participants were all diagnosed by one trained assessor and the smaller sample size limited our power to detect effects. Conclusions: Low conscientiousness may be most strongly related to BPD, whereas self-compassion may be a prospective transdiagnostic protective factor.
Climate extreme-driven losses and damages in East Gippsland farming sector
Authors: Jackson Guy , Boyd Emily , Chaffin Brian
Published: June 2023

The scientific concept of losses and damages relates to residual climate change impacts after mitigation and adaptation. Losses and damages are truly borderless, albeit experienced differentially between and within countries due uneven spatial vulnerability. Despite Australia being a high-income country, losses and damages have been particularly severe. Just over the last 6 years, farmers in East Gippsland, Victoria – the site of this research – have been severely affected by prolonged drought, extreme heat, bushfires, and floods, with emerging extreme event attribution evidence for specific extreme events such as heatwaves and bushfires. In this mixed-methods study, we explore a range of questions related to climate change and extreme event opinion, experienced losses and damages, disproportionality, responsibility, and thresholds to leaving the sector and relocation. We find that while East Gippsland farmers’ perceptions of anthropogenic climate change remains polarised and vary immensely, they are already experiencing significant economic and non-economic losses and damages; they recognise farmers are disproportionately affected by climate extremes compared to the broader population but always thought there were others more affected than themselves; they generally perceive everyone is responsible for the management of extreme events; and very few have or are planning to leave the sector or relocate despite an increasingly uncertain future. Our research extends knowledge on climate change losses and damages as part of a global stocktake – who it affects, how and why, and at what scale.
Comparative Analysis of Rhizosphere Fungi in Ageratina Adenophora and Associated Native Species in Far-Western Nepal
Authors: Binadi Dinesh , Jha Sanjay Kumar , Pant Ramesh Raj , Thapa Lal B.
Published: June 2023

Root exudates play a significant role in influencing the rhizosphere microbes. Fungi are an important group of microbes that are influenced by plant root exudates. As invasive alien plant species secretes several allelochemicals and impact soil microbes, this study compared the fungal community in one of the invasive weeds Ageratina adenophora with native species (Rubus ellipticus, Shorea robusta and Imperata cylindrica) in far-western Nepal. The rhizosphere soil was sampled by uprooting respective plants, and the soils were cultured using Czapek Dox Agar and PDA media. A total of 49 fungal species were identified from the plant rhizospheres. A. adenophora altered the species richness, occurrence and frequency of fungi in soil. The pathogenic fungi Aspergillus niger, Myrothecium sp., Phoma sp., Rhizoctonia sp., Pythium oligandrum, Verticillium spp. were the most frequently occurring rhizosphere fungi in all plants and they showed their host specificity in the rhzosphere. The fungi species such as Paecilomyces lilacinus, Aspergillus flavus, Myrothecium sp., Penicillium citrinum, P. chrysogenum, Rhizoctonia sp., Mucor circinelloides, Hypocrea sp., Trichoderma hypoxylon, T. sparsum, Gliocladium sp., Hypomyces sp., Aspergillus niger and M. circinelloides were common in all native plants. Even minor variations in the physicochemical properties of soil can change the presence of fungal species in the root zone, as indicated by the analysis of soil chemicals.
Effects of gold and platinum on the activity of catalysts for the complete oxidation reaction of hydrocarbons and carbon monoxide
Authors:   Faculty of Chemical Engineering, Ho Chi Minh City University of Food Industry (HUFI), 140 Le Trong Tan Street, Tay Thanh Ward, Tan Phu District, Ho Chi Minh City, Vietnam, Le Huy Cuong Huynh
Published: June 2023

This study presents synthesis results of catalysts made of perovskite-like oxide La2-xSrxCuO4 (x=0.0, 0.5, 1.0) using the citrate method and crystallisation at 800°C. The structure of the catalysts was characterised by X-ray diffraction (XRD). The perovskite-like oxide catalyst activity was enhanced with gold (Au) and platinum (Pt). Au was mounted on the perovskite-like oxide catalysts by the sol-gel method. The activity of the perovskite-like oxide La2-xSrxCuO4 (x=0.0, 0.5, 1.0) and the perovskite catalyst LaMnO3/LaCuO3 was evaluated by complete oxidation of volatile hydrocarbons (HCs) in a mixture of toluene and methyl ethyl ketone (MEK) and carbon monoxide (CO) in a microflow analysis system combined with gas chromatography. The results showed that the light-off temperature (the 50% conversion temperature of the catalysts) of the Pt, Au/perovskite catalyst samples decreased significantly. The light-off temperature of the Au/LaSrCuO4 Au nanoparticle catalysts in the complete CO oxidation reaction reached a temperature of 150°C, lower than the Pt/LaSrCuO4 catalyst (170°C), allowing replacement of previous Pt catalysts with Au nanoparticle catalysts. The LaSrCuO4 catalyst had better oxidising activities than the La2CuO4 catalyst, indicating that the addition of strontium (Sr) has increased the catalyst activity, and demonstrates the potential for application in catalytic converters in motorcycles.
The influence of pollutantson plant growth and treatment efficiency of horizontally-constructed wetlands
Authors:   Faculty  of  Agriculture,  Forestry  and  Fishery,  Hong  Duc  University,  565  Quang  Trung  Street,  Dong  Ve  District,  Thanh  Hoa  City,  Thanh  Hoa  Province,  Vietnam, Binh Nguyen Thanh ,   Graduate University of Science and Technology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Vietnam, Kim Anh Bui Thi ,   Institute of Environmental Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam, Thanh Nguyen Van ,   Institute of Environmental Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam, Kim Dang Dinh ,   Institute of Environmental Technology, 18 Hoang Quoc Viet, Cau Giay District, Hanoi, Vietnam, Phuong Nguyen Minh ,   Faculty of Environmental Sciences, University of Science, Vietnam National University-Hanoi, 334 Nguyen Trai Street, Thanh Xuan District, Hanoi, Vietnam
Published: June 2023

Constructed wetlands (CWs) have been widely used for wastewater treatment due to advantages such as low cost and easy operation. However, pollutant concentrations directly affect treatment efficiency by inhibiting plant and microbial growth. This study aims to evaluate the relationship between pollutant concentrations, tolerance of plants, and treatment efficiency of horizontal subsurface flow (HSF) CWs receiving synthetic wastewater. The results showed that Cyperus alternifoliusL. grew well in conditions with concentrations of chemical oxygen demand (COD) and NH4+ up to 75 and 125 mg/l, respectively, and pH 5-8. The lowest treatment efficiency was 56.7% at an initial COD concentration of 1000 mg/l. There were several dead plants in the CWs with a NH4+ concentration of 200 mg/l. When the initial COD and NH4+ concentrations were in the range of 500-750 and 75-125 mg/l, respectively, the treatment efficiencies of organic matter (COD) and NH4+ were 82.5-85.1 and 31-69.7%, respectively. The pH value was stable at a neutral level during the treatment process. The concentration ranges of COD (500-750 mg/l) and NH4+ (75-125 mg/l) were the optimal thresholds for pollution control while also ensuring normal plant growth. This study serves as a basis for considering wastewater characteristics in the design of HSF CW systems in practice.
Isolation and identification of carotenoid-producing Rhodotorula sp. from soils collected in the coastal environment of Kien Giang and Tra Vinh provinces
Authors:   Biotechnology  Research  and  Development  Institute,  Can  Tho  University,  312  Street,  Xuan  Khanh  Ward,  Ninh  Kieu  District,  Can  Tho  City,  Vietnam, Hue Luong Anh , Trung Nhan Nguyen Thanh ,   Biotechnology  Research  and  Development  Institute,  Can  Tho  University,  312  Street,  Xuan  Khanh  Ward,  Ninh  Kieu  District,  Can  Tho  City,  Vietnam, Chon Nguyen Minh ,   Biotechnology  Research  and  Development  Institute,  Can  Tho  University,  312  Street,  Xuan  Khanh  Ward,  Ninh  Kieu  District,  Can  Tho  City,  Vietnam
Published: June 2023

Rhodotorula is a genus of marine yeasts that is considered the most suitable for carotenoid production. In this study, collected soils at Kien Giang and Tra Vinh provinces were cultured on yeast extract peptone dextrose (YEPD) agar for 72 hours at room temperature. Twenty-three isolates exhibiting yellow, orange, and pink pigments were tested for physiological and biochemical characteristics such as carbohydrate fermentation and assimilation, nitrate assimilation, urease production, and growth temperature. Their oval dimensions were 4.24x3.64 μm for isolate 5S1-T and 3.88x3.17 μm for isolate 5S4-T. The two isolates could assimilate carbohydrate and nitrate sources and produce urease. The ITS rDNA sequence of isolates 5S1-T and 5S4-T both had 100% matches to Rhodotorula sphaerocarpaCBS:5940 and Rhodotorula sphaerocarpa CBS:5939, respectively. The maximum absorbance wavelengths of the solution extractions from the 5S1-T and 5S4-T were 496 and 487 nm, respectively. The total carotenoid content of strain 5S1-T was found to be the highest (1.81 mg/l) followed by strain 5S4-T (1.16 mg/ml). The antioxidant abilities of the 5S1-T and 5S4-T were demonstrated by scavenging the free radical DPPH and ferric reducing capacity. The free radical scavenging activity of the extract from isolate 5S1-T (96.15%) was higher than that of isolate 5S4-T (88.61%) at 0.14 mg/ml. The absorbance at 700 nm of the extracts of both 5S1-T and 5S4-T significantly increased from 0.05 to 0.3 mg/ml. The two strains 5S1-T and 5S4-T of Rhodotorulasphaerocarpa discovered in this study could contribute to carotenoid and antioxidant-producing yeasts for industries in the future.
Information Security – SOC Potentialities
Authors: Vieira Pedro , Reis Leonilde
Published: June 2023

Nowadays, information is an essential resource and a valuable asset. Like any other asset, information is potentially vulnerable and sub­ject to various threats, whether deliberate or accidental. The methodology adopted for the study was exploratory and descriptive, focusing on docu­ment analysis of information in the field of the theme. The paper aims to focus on the operationalisation and management of the Security Opera­tions Center (SOC), to foster and optimise the definition of policies and in­struments for data loss prevention and recovery, as well as to carry out train­ing actions for employees. The main results emphasise that cybersecurity in­volves a set of tools, policies, guides, risk management approaches, training actions, good practices and technologies that can be used to protect the as­sets of organisations and users in cyberspace, to preserve the guarantee the so-called information security triad.
Cybersecurity – Security Operations Center
Authors: Falé Pedro , Reis Leonilde , Almeida Rui
Published: June 2023

Currently, most organizations are dependent on Information and Communication Technologies, in the sense of accomplishing their underly­ing business activities. In this scope, cybersecurity is considered the domain that has the strength to protect sensitive information, be it at the individu­al level or in an organizational context. The objective of this paper is to in­troduce the concept, relevance, and functions of a Security Operations Cen­tre. The methodology underlying the study was based on the use of the MI­TRE Adversarial Tactics, Techniques and Common Knowledge framework as a matrix of tactics and techniques based on real scenario observations. The main results emphasize the importance of incorporating the Security Oper­ations Center as a barrier against cybersecurity threats. Security Operations Center brings additional value to the organizational context, through peo­ple, processes and technologies while also using several frameworks to im­prove work management, incident response and incident control.
Robotic-assisted partial nephrectomy nightmare: poor clamping and tumor rupture
Authors:   Hospital Moinhos de Vento-Rua Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, Brazil, Paludo Artur de Oliveira , Knijnik Pedro Glusman ,   Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil, Duarte Jr Dorival Manrique ,   Hospital Moinhos de Vento-Rua Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, Brazil, Mazzone Elio ,   Department of Urology, San Raffaele Hospital, Milan, Italy, Puliatti Stefano ,   Department of Urology, University of Modena and Reggio Emilia, Modena, Italy, Berger André Kives ,   Hospital Moinhos de Vento-Rua Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, Brazil, Neto Brasil Silva ,   Hospital Moinhos de Vento-Rua Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, Brazil, Berger Milton ,   Hospital Moinhos de Vento-Rua Ramiro Barcelos, Porto Alegre, Rio Grande do Sul, Brazil
Published: June 2023

An 82-year-old Caucasian male patient was referred to our center because of the incidental finding of a nodule in the middle third of the right kidney during a screening abdominal ultrasound. No local or systemic symptom could be associated with the renal mass on initial evaluation. The patient underwent an abdominal contrastenhanced CT scan, which revealed a mass in the outer middle third of the right kidney measuring 4.5 × 3.5 cm, predominantly exophytic, with contact to the collecting system and an enhancement pattern suspicious for primary renal malignancy. Tumor complexity was classified as PADUA score 9 and Renal Score 9x. Clinical stage was cT1bN0M0. Total procedure time was 130 min. Estimated blood loss was 800 mL and warm ischemia time was 24 min. Intraoperative complications were tumor rupture and increased bleeding. The postoperative course was uneventful. Meticulous preoperative planning including contrast enhanced CT with 1 mm thick slices and 3D reconstruction imaging is critical. Comprehensive dissection of the renal hilum must be performed to access the exact number of vessels vascularizing the kidney and to provide adequate ischemia of the renal parenchyma for clean visualization during tumor resection to avoid nightmares such as positive margins and tumor rupture.
Perdagangan Karbon: Mendorong Mitigasi Perubahan Iklim Diantara Mekanisme Pasar Dan Prosedur Hukum
Authors: Azizi MJ Nur , Kurnia Putra Akbar , Sipahutar Bernard
Published: June 2023

Artikel ini membahas mengenai perdagangan karbon (carbon trading) sebagai suatu bentuk mekanisme berbasis pasar dalam upaya mitigasi dan adaptasi terhadap dampak perubahan iklim. Dengan merujuk pada Paris Agreement to the UNFCCC 2015 sebagai instrumen hukum internasional terkait perdagangan karbon, didapati bahwa belum terdapat aturan yang secara eksplisit mengatur mengenai mekanisme penetapan harga karbon (carbon pricing) secara global. Hal tersebut berdampak pada persaingan pasar yang tidak sehat, terutama antara negara-negara maju dan negara berkembang. Selain itu, mekanisme perdagangan karbon dalam Paris Agreement menggunakan sistem kerjasama sukarela yang juga menyerahkan target penurunan emisi pada masing-masing negara, sehingga rentan terhadap rendahnya partisipasi negara dalam penurunan emisi GRK global. Hal inilah yang kemudian memunculkan pertanyaan : apakah perdagangan karbon benar-benar efektif untuk menekan laju perubahan iklim global? Adapun solusi yang ditawarkan adalah melalui pembentukan instrumen hukum internasional baru yang mengikat secara hukum bagi negara-negara pihak serta memuat ketentuan mengenai mekanisme penetapan carbon pricing secara global.
Hydranencéphalie, à propos d’un cas au centre hospitalier universitaire de Kara
Authors: Talboussouma S.M. , Tchagbele O.-B. , Segbedji K.A.R. , Gbodjome K.P. , Azoumah K.D.
Published: June 2023

L’hydranencéphalie est une conséquence de l’absence de développement des hémisphères cérébraux qui sont alors remplacés par des poches de liquide cérébrospinal. Le diagnostic est souvent fait en anténatal grâce à l’apport de l’échographie. Nous rapportons un cas d’un nourrisson de deux mois dont le diagnostic est posé en anténatal et dont la grossesse est menée à terme. L’enfant naît avec une microcrânie qui n’a pas pu être explorée avant sa sortie de la maternité. Le diagnostic d’hydranencéphalie a été effectué secondairement au cours de son hospitalisation pour un sepsis. Nous rapportons ce cas afin de faire connaître la maladie et évoquer la problématique de l’interruption volontaire de grossesse.
ЕМОЦІЙНІ СТАНИ ОСОБИСТОСТІ: ТЕОРЕТИЧНЕ ДОСЛІДЖЕННЯ ФЕНОМЕНУ
Authors: ГАВРИЛЬКЕВИЧ В’ячеслав , ФІРСТОВА Олена
Published: June 2023

Стаття присвячена проблемі психологічного пізнання емоційних станів особистості. Представлено визначення поняття «емоційний стан особистості», розмежовано зміст понять «емоція» і «емоційний стан». Розглянуто різновиди емоційних станів за модальністю провідної емоції, за їхнім впливом на активність особистості, а також інші різновиди емоційних станів. Виокремлено два аспекти проявів емоційних станів, такі як: зовнішній і внутрішній. Окреслено механізми виникнення емоційних станів.
Islamic Religious Education (PAI) Learning Based on The Independent Curriculum of Elementary School at Yogyakarta
Authors: Salim Ahmad
Published: June 2023

The purpose of this study was to reveal the implementation of Independent Curriculum-based PAI learning and the obstacles encountered in its implementation in SDN Semarangan 4, SDN Semarangan 5, SDN Pengkol, SDIT Ibnu Abbas, SDN 2 Godean, SDN Timon. The method used in this study is qualitative descriptive with a phenomenological design. Data collection was carried out through in-depth interviews with 6 PAI teachers as key informants, as well as observations. The results of the study show that the implementation of learning begins with greetings, apperceptions, basic activities with various methods and approaches used. Assessment is done in different ways, not only relying on exams, but reflection on learning activities is an important aspect of the assessment instrument. Freedom in achieving PAI learning is an important point in this independent curriculum, teachers and students have the freedom to master certain material until it is completed in one semester. Developing an attitude of independence is part of Pancasila's student profile building project. Obstacles encountered in the implementation of the Independent Curriculum, namely the teacher's difficulties in translating the curriculum to strengthen the profile of the Pancasila student into project activities outside of learning
Analysis of Power Generation and Distribution of Hybrid Energy for Electricity Loads in Batakan Village
Authors: Ramadhani Ahmad Zaki , Facta Mochammad , Handoko Susatyo
Published: June 2023

The need for electrical energy continues to increase over time. However, in Indonesia power plants are still dominated by fossil fuel power plants, and there are still many areas without access to electricity. The use of renewable energy is needed to replace fossil fuels considering that fossil fuels can run out one day. The coastal area of Batakan Village in Tanah Laut Regency, South Kalimantan Province, was chosen as the focus location for conducting hybrid power plant simulations because this village is located in a coastal area where wind and solar energy sources are abundant. Batakan Village is approximately 40 km from Pelaihari City. Medium-voltage network transmission system (JTM) is supplied from Pelaihari City, and it is almost certain that this village experiences large power losses over long distance. This power loss will be detrimental if an effort is not made to reduce it. The purpose of this research is first to determine the optimal hybrid power plant configuration design to reduce power loss in the electricity system in Batakan Village. Second, it will analyze the power loss of the hybrid power plant system in Batakan Village, and finally, this research is going to analyze the investment feasibility of the hybrid power plant system in Batakan Village. In this study, the design of renewable energy plants, such as solar power plants (PLTS) with a total capacity of 406.1 kW and wind power plants (PLTB) with a total capacity of 125 kW, and the electricity network (grid system) are used together in a hybrid power generation system. The ETAP software was used to analyze the power losses of the hybrid power generation system, while the HOMER software was used to determine the net present value (NPV) and cost of energy (COE) of the hybrid power generation system. The results show that the configuration of the solar, wind, and grid systems is the most optimal. It is obtained from the results of ETAP simulations that have been carried out during average load and peak load conditions that by including the Solar Power Plant and Wind Power Plant power losses in the electricity system in Batakan Village can be reduced from the previous one using the system configuration only connected to the PLN power grid (grid system only). The total power losses incurred was 269.1 kW of active power and 1613.5 kvar of reactive power at average load reduced to 266.9 kW of active power and 1568.9 kvar of reactive power. At peak load the total power losses were 423.4 kW of active power and 2573.0 kvar of reactive power and they deceased to 41.,5 kW of active power and 2510.5 kvar of reactive power. In terms of investment, the COE value decreased by IDR 111, and the NPC decreased by IDR 6,600,000,000 at the average load. At the peak load COE decreased by IDR 88, while NPC by IDR 7,000,000,000. The return of investment (ROI) value is 13.2%, which indicates that the investment is still in the profitable stage.
On the semi-classical analysis of Schrödinger operators with linear electric potentials on a bounded domain
Authors: Fahs Rayan
Published: June 2023

The aim of this paper is to establish the asymptotic expansion of the eigenvalues of the Stark Hamiltonian, with a strong uniform electric field and Dirichlet boundary conditions on a smooth bounded domain of [Formula: see text], [Formula: see text]. This work aims at generalizing the recent results of Cornean, Krejčiřik, Pedersen, Raymond, and Stockmeyer in dimension 2. More precisely, in dimension N, in the strong electric field limit, we derive, under certain local convexity conditions, a full asymptotic expansion of the low-lying eigenvalues. To establish our main result, we perform the construction of quasi-modes. The “optimality” of our constructions is then established thanks to a reduction to model operators and localization estimates.
On the asymptotic behavior of the energy for evolution models with oscillating time-dependent damping
Authors: Aslan Halit Sevki , Rempel Ebert Marcelo
Published: June 2023

In the present paper, we study the influence of oscillations of the time-dependent damping term [Formula: see text] on the asymptotic behavior of the energy for solutions to the Cauchy problem for a σ-evolution equation [Formula: see text] where [Formula: see text] and b is a continuous and positive function. Mainly we consider damping terms that are perturbations of the scale invariant case [Formula: see text], with [Formula: see text], and we discuss the influence of oscillations of b on the energy estimates according to the size of  β.
Bifurcation and stability for charged drops
Authors: Dai Guowei , Duan Ben , Liu Fang
Published: June 2023

In this paper, we investigate the Laplace’s equation for the electrical potential of charge drops on exterior domain, and overdetermined boundary conditions are prescribed. We determine the local bifurcation structure with respect to the surface tension coefficient as bifurcation parameter. Furthermore, we establish the stability and the instability near the bifurcation point.
Comparison of transversus abdominis activation characteristics between healthy and chronic low back pain population during upright functional movement
Authors: Cai Congcong , Gazali Nurul Adliah , Lau Hilary Xinyi , Tan Marilyn Boon Cheng , Othman Erlly Irma , Chan Cynthia Si Qing , Lim Edwin Choon Wyn
Published: June 2023

BACKGROUND: Previous literature suggests that transversus abdominis (TrA) activation is diminished in chronic low back pain (cLBP) subjects compared to healthy subjects in less-functional positions. However, few studies have investigated the effects of upright functional movement on TrA activation in cLBP individuals. OBJECTIVE: This pilot study aimed to compare TrA activation characteristics in healthy and cLBP subjects during the movement of double leg standing (DLS) to single leg standing (SLS) and to a 30∘ single leg quarter squat (QSLS). METHODS: TrA activation was determined by the percentage change in TrA thickness from DLS to SLS and DLS to QSLS. TrA thickness was measured in 14 healthy and 14 cLBP participants using ultrasound imaging with a probe holder at 20 mm and 30 mm from the fascia conjunction point. RESULTS: At both measurement points (20 and 30 mm), there were no significant main effects of body sides, lower limb movements and the interactions between them on TrA activations between the healthy and cLBP participants even after covariates were adjusted for (all p> 0.05). CONCLUSIONS: Results from this study suggest the evaluation of TrA activation during upright functional movements as part of an assessment for cLBP management may not be suggested.
A measured data correlation-based strain estimation technique for building structures using convolutional neural network
Authors: Oh Byung Kwan , Yoo Sang Hoon , Park Hyo Seon
Published: June 2023

A machine learning-based strain estimation method for structural members in a building is presented The relationship between the strain responses of structural members is determined using a convolutional neural network (CNN) For accurate strain estimation, correlation analysis is introduced to select the optimal CNN model among responses from multiple structural members. The optimal CNN model trained using the response of the structural member with a high degree of correlation with the response of the target structural member is utilized to estimate the strain of the target structural member The proposed correlation-based technique can also provide the next best CNN model in case of defects in the sensors used to construct the optimal CNN. Validity is examined through the application of the presented technique to a numerical study on a three-dimensional steel structure and an experimental study on a steel frame specimen.
Comparative analysis of epidemic public opinion and policies in two regions of China based on big data
Authors: Qiu Dong , Huang Lin
Published: June 2023

Since the outbreak of COVID-19 (Corona Virus Disease 2019), the Chinese government has taken strict measures to prevent and control the epidemic. Although the spread of the virus has been controlled, people’s daily life and work have been affected and restricted to varying degrees. Thus people have different sentiments, these may affect people’s implementation and compliance with the policies, thus affecting the effectiveness of epidemic prevention and control. At present, few pieces of literature have analyzed the relationships between people’s feelings, policies, and epidemic trends. The object of this paper is to analyze the text content on social media, to find out the impact of the epidemic blockade policy on the public mood and the concerns expressed by the public about policies changes, and the interaction between policies and epidemic states at different stages of the epidemic. In this paper, we collected the posts of two cities where the epidemic occurred at the same time for analysis and comparative study. On the one hand, we revealed the changes in public attention and attitudes in the two regions during the epidemic, the other hand, it also reflects the differences in public sentiment between the two regions, as well as the correlation between emotions and policies and epidemic trends when different policies are adopted under different circumstances. The obtained results have a certain guiding significance for public health departments to formulate reasonable epidemic prevention policies.
Asymmetric multilevel interactive attention network integrating reviews for item recommendation
Authors: Yang Peilin , Zheng Wenguang , Xiao Yingyuan , Jiao Xu
Published: June 2023

Recently, most studies in the field have focused on integrating reviews behind ratings to improve recommendation performance. However, two main problems remain (1) Most works use a unified data form and the same processing method to address the user and the item reviews, regardless of their essential differences. (2) Most works only adopt simple concatenation operation when constructing user-item interaction, thus ignoring the multilevel relationship between the user and the item, which may lead to suboptimal recommendation performance. In this paper, we propose a novel Asymmetric Multi-Level Interactive Attention Network (AMLIAN) integrating reviews for item recommendation. AMLIAN can predict precise ratings to help the user make better and faster decisions. Specifically, to address the essential difference between the user and the item reviews, AMLIAN uses the asymmetric network to construct user and item features using different data forms (document-level and review-level). To learn more personalized user-item interaction, the user ID and item ID and some processed features of user reviews and item reviews are respectively used for multilevel relationships. Experiments on five real-world datasets show that AMLIAN significantly outperforms state-of-the-art methods.
Associations of Midlife Lifestyle and Health Factors with Long-Term Changes in Blood-Based Biomarkers of Alzheimer’s Disease and Neurodegeneration
Authors: Merten Natascha , Pinto A. Alex , Paulsen Adam J. , Chen Yanjun , Engelman Corinne D. , Hancock Laura M. , Johnson Sterling C. , Schubert Carla R.
Published: June 2023

Background: Pathological biomarkers of Alzheimer’s disease (AD) and other dementias can change decades before clinical symptoms. Lifestyle and health factors might be relevant modifiable risk factors for dementia. Many previous studies have been focusing on associations of lifestyle and health-related factors with clinical outcomes later in life. Objective: We aimed to determine to what extent midlife factors of lifestyle, inflammation, vascular, and metabolic health were associated with long-term changes in blood-based biomarkers of AD (amyloid beta (Aβ)) and neurodegeneration (neurofilament light chain (NfL); total tau(TTau)). Methods: In 1,529 Beaver Dam Offspring Study (BOSS) participants (mean age 49 years, standard deviation (SD) = 9; 54% were women), we applied mixed-effects models with baseline risk factors as determinants and 10-year serum biomarker change as outcomes. Results: We found that education and inflammatory markers were associated with levels and/or change over time across all three markers of AD and neurodegeneration in the blood. There were baseline associations of measures of cardiovascular health with lower Aβ42/Aβ40. TTau changed little over time and was higher in individuals with diabetes. Individuals with lower risk in a number of cardiovascular and metabolic risk factors, including diabetes, hypertension, and atherosclerosis had slower accumulation of neurodegeneration over time, as determined by NfL levels. Conclusion: Various lifestyle and health factors, including education and inflammation, were associated with longitudinal changes of neurodegenerative and AD biomarker levels in midlife. If confirmed, these findings could have important implications for developing early lifestyle and health interventions that could potentially slow processes of neurodegeneration and AD.
Atypical White Matter Hyperintensities Markedly Impact Plasma Neurofilament Light Chain Variability in GRN Patients
Authors: Vítor Joana ,   The French research network on FTLD/FTLD-ALS, Predict-PGRN study group, Saracino Dario , Ströer Sebastian , Camuzat Agnès , Dorgham Karim , Clot Fabienne , Martin-Hardy Philippe , Pasquier Florence , Le Ber Isabelle
Published: June 2023

GRN mutations, causing frontotemporal dementia, can be associated with atypical white matter hyperintensities (WMH). We hypothesized that the presence of WMH may impact neurofilament light chain (NfL) levels, markers of neuroaxonal damage. We analyzed plasma NfL in 20 GRN patients and studied their association to visually-scored WMH burden. The 12 patients displaying atypical WMH had significantly higher NfL levels (98.4±34.9 pg/mL) than those without WMH (47.2±29.4 pg/mL, p = 0.003), independently from age, disease duration and Fazekas-Schmidt grade. NfL correlated with WMH burden (rho = 0.55, p = 0.01). This study prompts considering WMH burden as a variability factor when evaluating NfL levels in GRN patients.
Multi-period portfolio optimization based on credibilistic lower and upper VaR ratios
Authors: Jin Xiu , Li He , Hou Yuting
Published: June 2023

Emerging markets, such as the Chinese financial market, are occasionally subject to extreme risk events that result in investor losses during the investment process. To address the challenge of investment selection amidst market fluctuations, considering the fuzzy uncertainty and tail risk compensation based on the asymmetric perspective, we propose to use the lower VaR ratio and the upper VaR ratio as investment objectives to construct a multi-period credibilistic portfolio selection model. The study reveals that the cumulative returns and terminal wealth of the constructed model surpassed those of the benchmark models, delivering greater social and economic welfare to investors. During extreme events, investors could promptly adjust their portfolio structure to achieve higher investment returns. Investors who prefer the lower VaR ratio tend to make conservative investment decisions and allocate a higher proportion to defensive assets, such as bonds and risk-free assets. Conversely, investors who favor the upper VaR ratio are inclined to adopt aggressive investment strategies and allocate a larger proportion to high-risk stocks. The findings demonstrate that the proposed model offers differentiated investment decisions, and the research conclusions serve as valuable references for investors engaged in multi-period asset allocation and risk management.
Deep convolution neural network based Parkinson’s disease detection using line spectral frequency spectrum of running speech
Authors: Kumari Rani , Ramachandran Prakash
Published: June 2023

The deformation of speech caused by glottic vocal tract is an early bio marker for Parkinson’s disease. A novel idea of Line Spectral Frequency trajectory spectrum image representation of the speech signals of the subjects in Deep Convolution Neural Network is proposed for Parkinson’s disease classification in which the convolution layer automatically learn the features from the input images and no separate feature calculation stage in required. The human vocal tract that produces a short phonetics is assumed as an all-pole Infinite impulse response system and the Line spectral frequency trajectory spectrum images represents the poles of the system and reflects the voice defects due to Parkinson’s disease. It is shown that the proposed method outperforms the existing state of the art work for two different utterance tasks one for sustained phonation and another for natural running speech dataset. It is demonstrated that the Deep Convolution Neural Network results in a training accuracy of 92.5% for sustained phonation dataset and training accuracy of 99.18% for King’s college running speech dataset. The validation accuracies for both the datasets are 100%. The proposed work is much better than another recent benchmark work in which Mel Frequency Cepstral Coefficient parameters are used in machine learning for Parkinson’s disease detection in running speech. The high performance of the proposed method for King’s college running speech dataset which is collected through mobile device voice recordings, gains attention. Rigorous performance analysis is performed for running speech dataset by using separate isolated test set for repeated 50 trials and the performance metrics are F1 score of 99.37%, sensitivity of 100%, precision of 98.75% and specificity of 99.27%.
Novel Compound Heterozygous Splice-Site Variants in TPM3 Revealed by RNA Sequencing in a Patient with an Unusual Form of Nemaline Myopathy: A Case Report
Authors: Pelin Katarina , Sagath Lydia , Lehtonen Johanna , Kiiski Kirsi , Tynninen Olli , Paetau Anders , Johari Mridul , Savarese Marco , Wallgren-Pettersson Carina , Lehtokari Vilma-Lotta
Published: June 2023

Background: Pathogenic variants in the TPM3 gene, encoding slow skeletal muscle α-tropomyosin account for less than 5% of nemaline myopathy cases. Dominantly inherited or de novo missense variants in TPM3 are more common than recessive loss-of-function variants. The recessive variants reported to date seem to affect either the 5’ or the 3’ end of the skeletal muscle-specific TPM3 transcript. Objectives: The aim of the study was to identify the disease-causing gene and variants in a Finnish patient with an unusual form of nemaline myopathy. Methods: The genetic analyses included Sanger sequencing, whole-exome sequencing, targeted array-CGH, and linked-read whole genome sequencing. RNA sequencing was done on total RNA extracted from cultured myoblasts and myotubes of the patient and controls. TPM3 protein expression was assessed by Western blot analysis. The diagnostic muscle biopsy was analyzed by routine histopathological methods. Results: The patient had poor head control and failure to thrive, but no hypomimia, and his upper limbs were clearly weaker than his lower limbs, features which in combination with the histopathology suggested TPM3-caused nemaline myopathy. Muscle histopathology showed increased fiber size variation and numerous nemaline bodies predominantly in small type 1 fibers. The patient was found to be compound heterozygous for two splice-site variants in intron 1a of TPM3: NM_152263.4:c.117+2_5delTAGG, deleting the donor splice site of intron 1a, and NM_152263.4:c.117 + 164 C>T, which activates an acceptor splice site preceding a non-coding exon in intron 1a. RNA sequencing revealed inclusion of intron 1a and the non-coding exon in the transcripts, resulting in early premature stop codons. Western blot using patient myoblasts revealed markedly reduced levels of the TPM3 protein. Conclusions: Novel biallelic splice-site variants were shown to markedly reduce TPM3 protein expression. The effects of the variants on splicing were readily revealed by RNA sequencing, demonstrating the power of the method.