bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformer-Guided Video Inpainting Algorithm Based on Local Spatial-Temporal joint
Authors: Wang Jing , Yang ZongJu
Published: September 2023

INTRODUCTION: Video inpainting is a very important task in computer vision, and it’s a key component of various practical applications. It also plays an important role in video occlusion removal, traffic monitoring and old movie restoration technology. Video inpainting is to obtain reasonable content from the video sequence to fill the missing region, and maintain time continuity and spatial consistency.OBJECTIVES: In previous studies, due to the complexity of the scene of video inpainting, there are often cases of fast motion of objects in the video or motion of background objects, which will lead to optical flow failure. So the current video inpainting algorithm hasn’t met the requirements of practical applications. In order to avoid the problem of optical flow failure, this paper proposes a transformer-guided video inpainting model based on local Spatial-temporal joint.METHODS: First, considering the rich Spatial-temporal relationship between local flows, a Local Spatial-Temporal Joint Network (LSTN) including encoder, decoder and transformer module is designed to roughly inpaint the local corrupted frames, and the Deep Flow Network is used to calculate the local bidirectional corrupted flows. Then, the local corrupted optical flow map is input into the Local Flow Completion Network (LFCN) with pseudo 3D convolution and attention mechanism to obtain a complete set of bidirectional local optical flow maps. Finally, the roughly inpainted local frame and the complete bidirectional local optical flow map are sent to the Spatial-temporal transformer and the inpainted video frame is output.RESULTS: Experiments show that the algorithm achieves high quality results in the video target removal task, and has a certain improvement in indicators compared with advanced technologies.CONCLUSION: Transformer-Guided Video Inpainting Algorithm Based on Local Spatial-Temporal joint can obtain high-quality optical flow information and inpainted result video.
Comments Analysis on Social Media: A Review
Authors: Alafwan Brian , Siallagan Manahan , Putro Utomo Sarjono
Published: September 2023

As the number of people using and participating in social media grows, academics become interest in studying this new media, specifically comment analysis, in order to comprehend public opinion and user behavior. However, there are no studies that map the development of comment analysis domain, which would be valuable for future research. To address the issue, we examine prior publications using PRISMA approach, and offer suggestions for further research. An investigation was conducted to locate pertinent publications published in databases between 2010 and 2022. On the basis of our examination of 115 relevant articles, we found that, within the scope of methodology, prior researches employ two methods (sentiment and content analysis) and three tools (human, software, and mixed coders), and the majority of them concentrate on gathering data from western countries, covering numerous platforms and topics. Based on these findings, we recommend that future research in comment analysis should synthesize methods and instruments. In addition, examine areas that have not been fully explore in terms of platforms (e.g., Instagram and Tiktok), topic (e.g., local government), and regions (e.g., eastern countries) that would be valuable in order to enhance the body of knowledge in this domain.
An approximation formula for the shifted cubic moment of automorphic L-functions in the weight aspect
Authors: Balkanova Olga , Conrey John Brian , Frolenkov Dmitry
Published: September 2023

Consider the family of automorphic L-functions associated with primitive cusp forms of level one, ordered by weight k. Assuming that k tends to infinity, we prove a new approximation formula for the cubic moment of shifted L-values over this family which relates it to the fourth moment of the Riemann zeta function. More precisely, the formula includes a conjectural main term, the fourth moment of the Riemann zeta function and error terms of size smaller than that predicted by the recipe conjectures.
Opportunities, Challenges and Requirements for Use of Blockchain in Unmanned Aircraft Systems
Authors: Manoharan Dinesh , G.V.V. Ravi Kumar , R Prithiviraj , Ghimire Ritesh , Rencher Robert , Markou Chris , Fabre Chris , Roboff Mark , Budeanu Dragos , Rajamani Ravi , Walthall Rhonda , Veluri Sastry
Published: September 2023

Unmanned Aircraft Systems (UAS) have been growing over the past few years and will continue to grow at a faster pace in future. UAS faces many challenges in certification, airspace management, operations, supply chain, and maintenance. Blockchain, defined as a distributed ledger technology for the enterprise that features immutability, traceability, automation, data privacy, and security, can help address some of these challenges. However, blockchain also has certain challenges and is still evolving. Hence it is essential to study on how blockchain can help UAS. G-31 technical committee of SAE International responsible for electronic transactions for aerospace has published AIR 7356 [1] entitled Opportunities, Challenges and Requirements for use of Blockchain in Unmanned Aircraft Systems Operating below 400ft above ground level for Commercial Use. This paper is a teaser for AIR 7356 [1] document. It presents the current opportunities, challenges of UAS operating at or below 400 ft Above Ground Level (AGL) altitude for commercial use and how blockchain can help meet these challenges. It also provides requirements for developing a blockchain solution for UAS along with the need for the standardization of blockchain enabled processes.
Model-Based Fault Diagnostic Strategy for Microgrids
Authors: Heyer Gabriel , D'Arpino Matilde
Published: September 2023

Microgrids are a topic of interest in recent years, largely due to their compatibility with the integration of distributed renewable resources, capability for bidirectional power flow, and ability to reconfigure to mitigate the effects of faults. Fault diagnosis algorithms are a foundational technology for microgrids. These algorithms must have two primary capabilities. First, faults must be detectable; it is known when the fault occurs. Second, faults must be isolable; the type and location of detected faults can be determined. However, most fault handling research considering microgrids has focused on the protection algorithm. Protection algorithms seek to quickly extinguish dangerous faults which can damage components. However, these algorithms may not sufficiently capture less severe faults, or provide comprehensive monitoring for the microgrid. This is particularly relevant when considering applications involving fault tolerant control or dynamic grid reconfiguration. Although well-accepted in the automotive and aviation field, model-based diagnostics have not been extensively applied to microgrid or power grid systems. Therefore, this work proposed a diagnostic concept relying on model-based diagnostics. Structural analysis is used to develop model-based residuals, and data from a Simulink microgrid model is used to define and calibrate diagnostic tests. It is shown that the use of model-based diagnostics yields better detection and isolation performance compared to overcurrent protection or differential current protection alone.
Modular Multilevel GaN Based Ultra-High Power Density Electric Power Conversion and Transmission on the Lunar Surface
Authors: Yao Yuzhou , Zhang Zhining , Fan Junchong , Adina Nihanth , Bharmal Naeem , Shah Siddhant , Zhang Jesse , Shi Yifan , Hu, PhD Boxue , Fu, PhD. Pengyu , Wang, PhD. Jin
Published: September 2023

NASA’s Watts on the Moon Challenge is seeking solutions to transfer at least 1.065 kW power from a 120 V dc source to a 24-32 V dc load over a 3-km distance under the same environmental conditions as the Lunar surface (i.e., 77 K temperature and 1 mTorr pressure). The selected solution from the author’s team proposed utilizing two modular multilevel Gallium Nitride (GaN) based isolated dc-dc converters to connect the 120 V dc source with the 24-32 V dc load bank via 1.5 kV rated dc transmission lines. The modular multilevel converters feature frequency multiplication, high step-down voltage ratio and low device voltage stress. In the converters, GaN gate injection transistor (GaN GIT) and GaN High-Electron-Mobility Transistor (GaN HEMT) devices are chosen as switching devices, due to the merits of lower power loss, radiation hardness and ability to work under cryogenic and vacuum conditions. In addition, LiFePO4 battery based energy storage with a power condition system is added in parallel with the load to provide uninterrupted power. Active heating units and passive multi-layer insulation are designed to manage the proper operation of the battery under cryogenic and vacuum conditions. Furthermore, the hardware design for the power converters has been validated at 1.5 kV/1 kW condition. The operation of submodules in the developed converter has been demonstrated at 77 K temperature and less than 10-6 Torr pressure. The efficiency of the designed converter can achieve 97.42%. In total, the proposed power conversion and transmission system has a total system mass of 103.2 kg, which is significantly lower than the 150 kg limit specified by NASA's requirement.
Centralized E/E Architecture and Evolution
Authors: N Vignesh , Kumar Mitesh , Achuthan Balasubramanian , Badade Shivaji , Shivakumar Prakash , Keshri Ajeet
Published: September 2023

In recent years, the complexity and sophistication of electronic and Electrical (E/E) systems in modern vehicles have been rapidly increasing. As a result, the need for a robust and scalable E/E architecture has become increasingly important. This paper presents a comprehensive survey of the current state-of-the-art in E/E architecture for automotive systems. The survey covers a range of topics including hardware and software architectures, communication protocols, safety and security considerations, and system integration. We also review recent advances in E/E architecture such as the adoption of service-oriented architecture (SOA), the use of Ethernet-based networks, and the increasing use of software-defined architectures. Additionally, we discuss the challenges and open research directions in E/E architecture such as the integration of emerging technologies like autonomous driving and the impact of electric and hybrid vehicles. The survey provides a valuable resource for researchers and practitioners in the automotive industry, offering an overview of the current state of E/E architecture and insights into future directions for research and development.
Understanding the Fundamental Mechanisms of Battery Thermal Runaway Propagation and Mitigation
Authors: Faenza Nicholas , Spray Ryan , Kuykendal Michelle
Published: September 2023

The increased prevalence of larger and more energy-dense battery packs for transportation and grid storage applications has resulted in an increasing number of severe battery thermal events. The implications on product reliability, consumer safety, and the surrounding environment are significant. While there are many potential root causes for battery thermal runaway, these events often start within a single battery cell or group of cells that cascade to neighboring cells and other combustible materials, rapidly increasing the hazard profile of the battery pack as more stored energy is released. Reducing these hazards requires preventing severe thermal runaway scenarios by mitigating cell-to-cell propagation through the improved design of both individual cells and battery packs.

This work provides a fundamental understanding of how thermal runaway events can start in large-format battery packs, the mechanisms for thermal runaway propagation between individual cells, and the mitigation strategies currently available on the market. Understanding these mechanisms and implementing appropriate mitigation strategies into battery packs can enable the design of less hazardous and more reliable battery systems. There is an interplay between mitigation strategies and the ever-increasing energy density of cells toward enabling improved duration and longer-range applications, which will be highlighted below.
Innovative Insulation System Design and Partial Discharge Detection to Optimize Resilience of Electrical Transportation Assets
Authors: Montanari Gian Carlo , Shafiq Muhammad
Published: September 2023

Partial discharge (PD) detection has been always a fundamental tool, potentially, for the design, quality control, commissioning, and reliability monitoring for the of insulation systems. The word “potentially” stems from the objective consideration of the intrinsic limitations suffered by the existing partial discharge, PD, measurement technologies, especially the need of experts to interpret results and the lack of clear correlation between PD-related quantities, and the condition-based maintenance approach. On the whole, a thorough revision of insulation systems design procedures and of the tools to evaluate aging and failure risk is needed, especially in components of electrical assets which are critical in terms of reliability, resilience, and safety. This paper focuses on critical asset components, such as ships, aircrafts, aerospace, and any type of vehicles, where the coming electrification is significantly increasing nominal voltage, power density and efficiency, and where power electronics is the operative core. A new design approach, PD-free and reliability redundant, is briefly discussed, highlighting the importance to develop an innovative PD detection and analytics approach where measurements and interpretation are fully automatic and unsupervised, and experts are replaced by artificial intelligence. The aim is to remove the adverb “potentially” applied to the usefulness of PD detection and monitoring. The application of this innovative PD technology to measurements on dedicated test objects, able to incept either internal or surface discharges, or both, show how the capability to identify automatically the source typology of PD can help both in insulation system design and in devising health-condition monitoring systems for the asset components.
Grinding of HVOF Sprayed Tungsten Carbide Coatings Applied to High Strength Steels
Authors:   AMS B Finishes Processes and Fluids Committee
Published: September 2023

This specification covers engineering requirements for the grinding of tungsten carbide high velocity oxygen/fuel (HVOF) thermal spray coatings applied to high strength steels (220 ksi and above).
The intersection of digital and translation competence in students of translation
Authors: Eraković Borislava , Radić-Bojanić Biljana
Published: September 2023

The Current European Digital Competence Framework for Lifelong Learning (DigComp 2.2) includes five areas with 21 sub-competences, and most of them are included in the European Master’s in Translation (EMT) 2009-2022 frameworks. Which of these will be included in the curricula depends on the level of the study program (BA or MA) and the needs of the students, who we tend to believe are digital nomads. In the educational context of our study various areas of digital competences (DC) are developed implicitly as part of translation assignments and are not specifically acknowledged and assessed. In this paper we investigate how the students perceive their DC and whether this is connected to the number and type of translation courses taken and their view of themselves as future translators. The data was collected via an online questionnaire. The informants (N=58) assessed 25 statements on a five-point Likert scale, thereby reporting how skilled they believed they were with respect to various digital practices. The data was coded and analysed with the SPSS software package. The statistical tests include descriptive statistics, Pearson’s correlation, a one-way ANOVA and a two-way ANOVA. The results show that the students have a high perception of their DC, but no significant connection can be established between the pedagogical input and the students’ perception in this regard. The paper ends with the analysis of the pedagogical implications of this finding for teachers and course developers.
Two Faces of the Hindu Great Goddess
Authors: Petek Nina
Published: September 2023

The paper presents the multifaceted identity of the Hindu goddess Mahādevī, the dynamic feminine absolute of the religious tradition Śāktism, whose philosophical foundations have shaken several assumptions of established religious and social norms. Śāktism remains an integral part of the philosophical-religious landscape of the complex totality of Hinduism, while also stretching beyond narrow religious contexts and critically examines normative patterns of patriarchal social reality. In the first chapter, the paper outlines the origins of the formation of the goddess cult, from the earliest period of Indian civilization to the Purāṇas, and then introduces the key ideas of the goddess myth in the Devīmāhātmya, where, for the first time in the spiritual history of India, a goddess is defined as the Supreme Reality, who reconciles all opposites within herself. The interpretation of the most significant segments of the goddess myth is built on the basis of an analysis of the changes in metaphysics, specifically the transition from the pre-Tantric dualistic metaphysical system to the non-dualistic one in Tantra. This is followed by an outline of the two branches of Śāktism that were formed out of the two seemingly incompatible poles of the identity of the Supreme Goddess: on the one hand, as a benevolent mother and obedient wife, and on the other as a fierce, ruthless and independent female, which is discussed in more detail in the last chapter through a case study of two goddesses, Lakṣmī and Kālī.
Anti-Corruption Education Policy Outputs for Combatting Corruption in Indonesia: Applying the Theory of Planned Behaviour
Authors: Lituhayu Dyah , Rahman Amni Zarkasyi , Muluk Mujibur Rahman Khairul , Huda Mohammad Nurul
Published: September 2023

Corruption is a bureaucratic disease that has become as entrenched as the common cold, undermining governments globally. Proactive government policies can reduce corruption crimes through prosecution, prevention and education. The Indonesian government has implemented a ‘trident’ corruption eradication policy in educational institutions aiming to shape the attitudes, norms and behaviour of the nation’s younger generation. Unfortunately, the existing literature is limited in assessing the policy output of preventing and eradicating corruption, particularly the effectiveness of anti-corruption education among university students. A policy output evaluation perspective is offered to fill this research gap. This study aims to evaluate the policy output of anti-corruption education in shaping attitudes, norms and behaviour using the theory of planned behaviour. A quantitative approach and survey method were chosen, and a total of 125 respondents participated. The partial least squares algorithm and bootstrapping methods were used to analyse the data. The study’s results reveal that perceived behaviour control, attitude, subjective norm have significant influences on students’ intention. Perceived behaviour control has significant influences on students’ anti-corruption behaviour, though attitudes do not affect students’ anti-corruption behaviour. The findings also show that it has a good level of effectiveness in anti-corruption education policy outputs in achieving policy goals. Our policy recommendations include socialisation about anti-corruption to the community, implementing ideology education and upholding the law on corruption to increase the success of corruption prevention and eradication policies.
Religión y ética en Ernst Bloch. La búsqueda de pistas para el diálogo
Authors: Sánchez Sánchez Manuel
Published: September 2023

El diálogo entre ética y religión es posible cuando se de la escatología, el sentido mesiánico y la esperanza en religiones,  especialmente en el caso de la religión cristiana. Ernst Bloch afirma el enriquecimiento a partir del fenómeno religioso, con todos sus matices. Temas como una moral de advenimiento, el fin de la miseria, el amor a los enemigos, relativizar al "César", la  introducción de la ética en la escatología, la comunidad fraterna (La Ciudad de Dios)... todos ellos pueden ayudar a encontrar una ética común a partir del fenómeno religioso.
Nos meandros das águas e nos trilhos da memória: Espacialidades e temporalidades do vivido como possibilidades de ensinar e aprender Geografia
Authors: Bezerra da Silva Cícero
Published: September 2023

O escopo do artigo é tecer algumas reflexões inerentes ao processo de ensino e aprendizagem em Geografia, considerando, para tanto, as espacialidades e temporalidades do vivido como marco referencial para esse processo. Como espaço de referência e campo reflexivo, recorre-se a experiências docentes desenvolvidas nos Ensinos Fundamental e Médio no contexto de escolas das redes municipal e estadual de ensino localizadas no município alagoano de Rio Largo. Destarte, busca-se valorizar, no contexto das reflexões, as especificidades geográficas e históricas do referido município, as quais estão associadas à presença marcante do rio Mundaú e da linha férrea, elementos que direcionaram a ocupação do lugar e o consequente desenvolvimento e a expansão territoriais. Depreende-se que a valorização das espacialidades e temporalidades vividas pelos educandos pode se constituir em importante metodologia para ensinar e aprender geografia. Esse “modelo” metodológico de ação docente atribui forma e sentido ao espaço e o significa, tornando-o existencial, transformando o espaço em lugar.
Wearable Technology vs. Implantable Technology: Evaluating Human-Computer Interface and Healthcare Applications
Authors: Abel Tom Abraham  , Sobin Joseph  , Jubin Biju  , Jose Antony  , Cini Joseph
Published: September 2023

With an emphasis on their effects on human-computer interface (HCI) and healthcare applications, this study compares and contrasts wearable and implantable technologies. Implantable technology involves placing electronic equipment inside the body, such as pacemakers, cochlear implants, and brain interfaces. Wearable technology describes gadgets that may be worn on the body, such smartwatches, fitness trackers, and augmented reality glasses. In user experience mobility, data collecting, and healthcare applications, the study assesses the benefits and drawbacks of both strategies. They also examines the uses of wearable and implanted technologies in healthcare, such as assistive devices, tailored medicine, and disease monitoring. The study also explores the privacy and ethical ramifications of these technologies.
The Relationship between Grit, Emotional Intelligence and Decision making among Emerging Adults
Authors: Irene Tresa Anto  , Anjali Sebastian  , Aliya Anil  , Krupa Dinah Mathews
Published: September 2023

Grit is characterized as perseverance and determination for long-term objectives. Working hard to overcome obstacles and keeping interest over many years despite failure, hardship, and growth plateaus are all characteristics of grit. Emotional intelligence is the ability to monitor one's own and other people's feelings and emotions, to distinguish between them, and to use this understanding to guide decisions and actions. Decision-making is the process through which an individual, group, or organization decides what future activities to pursue given a set of objectives and restrictions on the resources at their disposal. Issue conceptualization, intelligence gathering, reaching conclusions, and learning from experience will all be part of this process, which will frequently be iterative. The goal of the study is to examine how developing adults' emotional intelligence, grit, and capacity for making decisions relate to one another. The sample consisted of 176 emerging adults of age range 18 to 24. The 12-item Grit Scale, the Emotional Intelligence Self Assessment Tool, and the Decision Making Questionnaire were the tools employed in the study. The data were analysed using SPSS. Spearman Rho correlation was used to find the correlation. The results indicated that there is a considerable positive correlation between emotional intelligence and decision-making (p<0.01) as well as between grit and emotional intelligence (p<0.05). Additionally, there is no significant relationship between grit and decision-making.
The Importance of Data Mining & Predictive Analysis
Authors: Sreejit Ramakrishnan
Published: September 2023

Data mining is the process of analyzing enormous amounts of information and datasets, extracting (or “mining”) useful intelligence to help organizations solve problems, predict trends, mitigate risks, and find new opportunities. Data mining is like actual mining because, in both cases, the miners are sifting through mountains of material to find valuable resources and elements. Data mining also includes establishing relationships and finding patterns, anomalies, and correlations to tackle issues, creating actionable information in the process. Data mining is a wide-ranging and varied process that includes many different components, some of which are even confused for data mining itself.
Access Control Systems Based on Blockchain Technology
Authors: Gajanan Badhe  , Dr. Maithili Arjunwadkar
Published: September 2023

Now a days the need for decentralized applications is increasing and blockchain provides the foundational technology for creating and developing them. The security and integrity of the blockchain network and its resources are supported by access controls, which is a crucial component of blockchain-based applications. This paper presents a study of various access control mechanisms, including smart contracts, consensus algorithms, and cryptographic protocols, to assess their benefits and limitations in different contexts of applications. The purpose of the paper is to present various access control systems in blockchain-based applications and their applicability and effectiveness in various use case scenarios.
AUTOMATIC TEMPO CONTROL OF VEHICLE USING MULTI SENSORS
Authors: N.Keerthana  , K.M.Annammal
Published: September 2023

We have lost many precious lives daily due to road accidents. The main reasons are driver error, road situation, and vehicle condition. The system works to help drivers during emergencies and risks. The normal braking system is fully dependent on the driver will never prevent a collision in a sudden critical situation braking and the vehicle tends to crash. The autonomous braking system plays today a big role in accident prevention and the system is unfortunately only used in high cargo vehicles. The system also has speed limiter functions. It will decrease or increase vehicle speed depending on the obstacle distance from the moving vehicle to minimize damage or collision in an accident. The proposed algorithm is recovery braking and release braking based on the time to crash. The suggested design and system can be used in lower-class vehicles to reduce fatality using hybrid data and hybrid sensors. The goal of the research is to perceive the subject and stop the vehicle in an emergency.
Accident Prevention Mechanism In Vehicles
Authors: Shincy K Kurian  , Christopher Joseph Joby  , Archana S
Published: September 2023

The road accidents are recently increasing at a fast rate. Most of them happen because of the carelessness of the driver of the vehicles on the road. THE ACCIDENT PREVENTION MECHANISM IN VEHICLES is an attempt to reduce such road accidents by implementing some extra features on the vehicles which can be controlled by software. This project is developed on the basis of certain assumptions. 1.Most of the accidents are happened due to the carelessness or the drowsiness of the driver. 2.The driver may not detect the obstacle which comes in front of the Vehicles, from a safe distance. 3.The different light systems of the vehicles are not properly used whenever needed. This project tries to minimize the accidents which may be caused by the inability of the driver to take sudden actions in a panic situation. If the driver does not respond properly within a time slot, then the vehicle automatically steers to a safe space and continues the journey safely. This system automatically switches on the different types of lights in the vehicle such as head light, hazard lights, brake lights and indicators whenever needed. It includes a special wearable spectacle to detect the drowsiness of the driver. It provides the safety mechanism by invoking the buzzer and safe parking, when it identifies that the driver is asleep by analyzing the eye blink. This paper relates to the system for preventing accidents which contains IR sensors, Ultrasound sensors, LDR sensors and works according to a logically developed safe program which is imprinted on the microcontroller using Arduino IDE. This system is developed to overcome the inability of the vehicles to detect the obstacle from the front side and the drowsiness of the driver and do the necessary safe actions thus, reducing the road accidents.
Diversi dalam Kerangka Restorative Justice pada Penanganan Anak yang Berhadapan dengan Hukum
Authors: Riyadi Riyadi
Published: September 2023

Clinical Pathways is a measurement tool for hospitals to deliver health services in maintaining quality and monitoring costs. Dengue fever is a tropical infectious disease with typical symptoms that should have standardized treatment patterns. However, in RSIA Kenari Graha Medika, the treatment of dengue fever cases is considered not efficient and effective enough. This study aims to determine the compliance rate in the implementation of Clinical Pathway for pediatric patients with a diagnosis of Dengue Fever at RSIA Kenari Graha Medika. The method used was qualitative with descriptive observational using Clinical Pathway compliance form data from medical records and hospital information systems from September 2022 to February 2023. Inclusion criteria were pediatric patients who were treated with a single diagnosis of Dengue Fever in accordance with WHO clinical criteria, namely Fever, Malaise, Peripheral bleeding disorders and had laboratory examination results with Platelet values below 100,000 / mm3. The things that are assessed in Clinical Pathways compliance are length of stay, administration of therapy and supporting examinations. Based on the results of the study LOS has no influence on clinical pathway. Meanwhile, pharmacy and lab showed that pharmacy and lab had a positive and significant effect on clinical pathway. It is hoped that there will be further research related to this study, namely looking for the relationship of the lack of compliance rates with the costs incurred during treatment.
KİŞİLER HUKUKU BAĞLAMINDA TÜZEL KİŞİ KAVRAMI
Authors: ŞİMŞEK Ahmet Buğra
Published: September 2023

Kişiler hukuku Türk Medeni Hukuku’nun en temel hukuk süjesi konumunda bulunmaktadır. Kavram gereği kişilerin hukuki durumunu düzenleme yapısı bulunmakta olup kişi kavramı, türleri ve kişilik hakkı alt başlıkları sıralanabilir. Kişiliğin; gerçek kişiler açısından doğumla, tüzel kişiler açısından tescil ile başladığı belirtilebilir. Kişiler hukukuna hakim ilkelerin konusunu 4721 sayılı Türk Medeni Kanunu oluşturmaktadır. Tüzel kişiler ise cismani bir varlığa sahip olmamasına rağmen hukuk dünyasında kişilik sahibidir. Tüzel kişiliğin kazanılması örgütlenme, sürekli amaç ve hukuken bağımsızlık koşullarına tabidir. Şartların bulunmaması halinde kişilik hukuk dünyasında geçerliliğini sağlayamaz. Tüzel kişi türleri; kamu hukuku ve özel hukuk tüzel kişileri olarak ayrılır. Tüzel kişiler genel hükümler gereğince kuruluş statülerinde bir yerleşim yeri göstermekle mükelleftirler. Tüzel kişiler; hak ve fiil ehliyetlerinin bulunması halinde insana özgü haklar haricinde Anayasa ve diğer kanunlarda düzenlenen tüm hak ve menfaatlere sahiptirler. Gerçek kişilerin varlığı ölümle son bulurken tüzel kişiler tasfiye ve tescil ile kişiliklerine son verirler.
DETERMINATION OF THE YIELD AND QUALITY CHARACTERISTICS OF SOME STRAWBERRY VARIETIES GROWED IN THE OPEN FIELD OF YAHYALI (KAYSERI) ECOLOGICAL CONDITIONS
Authors: Burak Ceran Mehmet , Yildiz Ercan , Yaman Mehmet
Published: September 2023

This study was carried out to determine the performance of 6 different day-neutral varieties (Albion, Monterey, Portola, Sweet Ann, Kabarla and San Andreas) and 1 local genotype in open field in the ecological conditions of Yahyalı (Kayseri/Türkiye) in the 2021-2022 growing season. In the research, the first flowering date of the varieties was 19 March (local genotype) and 27 March (Portola), the harvest start date was 19 May (Kabarla) and 25 May (Albion), the end of harvest date was August 17 (local genotype) and 20 September (San Andreas). The harvest period was determined between 87 days (local genotype) and 122 days (Kabarla). In the experiment, the highest fruit weight and fruit firmness were determined in Sweet Ann variety with 11.74 g and 0.75 kg-force, respectively. It was determined that the total soluble solid (TSS) content amount in the cultivars varied between 6.16% (Sweet Ann) - 13.16 (local genotype), titratable acid content ranged between 0.48% (Sweet Ann) - 0.77 (San Andreas), pH value varied between 3.23 (San Andreas) - 4.03 (local genotype). While the highest lightness (L) fruits were obtained from Portola variety (31.09) in the experiment, the color intensity (chroma) varied between 31.22 (Albion) and 40.75 (Portola), the color angle value (hº) ranged between 38.61 (Albion) and 50.34 (Monterey and Portola). As a result, in Yahyalı (Kayseri) ecological conditions, in terms of yield and fruit quality characteristics such as fruit weight, color, firmness and TSS amount, Albion variety was found to be suitable, and then Sweet Ann and Kabarla varieties were important.
Ultrasonic pretreatment on Alcalase or goat milk casein: Impact on protein hydrolysis kinetics and on solubility and in vitro antioxidant activity of hydrolysates
Authors:   , Guimarães Alécia Daila Barros
Published: September 2023

Goat milk is a highly nutritious food, easy to digest and absorb, which has been attracting the interest of the population, researchers and industries. Caseins are the main proteins in goat milk and have lower allergenicity compared to bovine casein. Goat milk has great potential for the generation of new products, such as protein hydrolysates and bioactive peptides with techno- functional properties and potentially biological. Enzymatic hydrolysis is one of the main methods for obtaining protein hydrolysates, however it has limitations such as the long hydrolysis time, low yield, and high cost. Previous studies have suggested the use of ultrasound (US) to improve enzyme performance. Thus, this study evaluated the effect of ultrasound (US) in the pretreatment of Alcalase and goat milk casein (GMC) to improve the hydrolysis performed at 25, 40 or 60 °C for up to 180 min. Evaluation was based on reaction rate, degree of hydrolysis (DH), TCA-soluble protein concentration, solubility and in vitro antioxidant activity. US pretreatment on Alcalase (40°C/60 min) or on GMC (60°C/30 min) increased the relative enzyme activity by up to 15.6 and 18.1%, respectively. Thus, US promoted an increase in the solubility (up to 37% at pH 4.0) and in vitro antioxidant activity (up to 37% for the ABTS assay) of the hydrolysates after 180 min of reaction. Therefore, the results found expand the use of ultrasound, demonstrating that this technology can be used both on Alcalase and on GMC to enhance the hydrolysis, aiming to obtain hydrolysates and bioactive peptides with better nutritional and techno-functional appeal. Keywords: Ultrasound. Goat milk. Peptides. Protein Solubility. Techno-functional properties. Biological Properties.
Comportamento dos consumidores de café durante a pandemia e alterações causadas pela COVID-19
Authors:   , Soares Camila Aparecida Lessa
Published: September 2023

O isolamento social imposto pela pandemia da COVID-19, desencadeou alterações no comportamento e, consequentemente no consumo de café. compreender o consumo da bebida café (independente da forma de preparo) pelos brasileiros durante a pandemia e contribuir com o levantamento de características sociais que influenciaram o comportamento dos consumidores neste período. Os dados foram coletados com auxílio de um questionário online, com consumidores de café, no período compreendido entre março e agosto de 2022. Esta dissertação foi redigida em três artigos, abordando o comportamento, perfil do consumidor de café e as alterações sensoriais causadas pelo COVID-19. Os resultados apontam a presença de dois fatores que influenciam na decisão de compra do produto, sendo eles a economicidade e sustentabilidade, que resultaram em quatro grupos de consumidores: que buscam economia, que se preocupam com a qualidade e pureza do café, que são fiéis à marca do produto e que prezam pela conveniência. Foi observado que a escolaridade, a idade e região dos respondentes teve relação significativa com a alteração do consumo de café. Com esta pesquisa, foi possível identificar o perfil dos consumidores de café, que tiveram COVID-19, investigar se apresentaram disfunções sensoriais durante o consumo da bebida, assim como investigar quais características sociais estão associadas a COVID-19 em consumidores de café. Os dados expostos neste trabalho permitem o conhecimento de evidências a respeito das disfunções sensoriais, como perda de olfato e, ou, paladar. Com os dados obtidos nesta pesquisa, espera-se contribuir com informações a respeito do comportamento do consumidor durante a pandemia da COVID-19, bem como as disfunções sensoriais apresentadas pelos consumidores. Palavras-chave: Bebida de café. Coronavírus. Disfunções sensoriais.
PENILAIAN KEANDALAN DAN EKONOMIS PENYULANG TEGANGAN MENENGAH DENGAN FAILURE MODE EFFECT ANALYSIS
Authors: Hardi Surya , Annisya Tri , Wirasari Riza Ria , Arifah Rena , Rizki M. Fahmi Syawali
Published: September 2023

Penilaian keandalan pendistribusian tenaga listrik ke pelanggan diperlukan untuk mengevaluasi kualitas daya serta mengantisipasi masalah yang ditimbulkan. Keandalan merupakan kemampuan suatu sistem untuk dapat memberikan hasil yang lebih baik pada periode waktu dan dalam kondisi operasi tertentu. Pada penelitian ini dilakukan analisis prioritas gangguan dengan menggunakan diagram pareto untuk mengindentifikasi permasalahan yang dominan sehingga dapat mengetahui prioritas dari penyelesaian masalah. Penilaian  keandalan sistem distribusi 20 kV pada penyulang BG-2 PT.PLN (Persero) ULP Binjai Kota menggunakan Failure Modes Effect Analysis (FMEA) dengan indikator indeks kenadalan seperti System Average Interruption Duration Index (SAIFI), Costumer Average Interruption Frequency Index (SAIDI), Costumer Interruption Duration Index (CAIDI), Energy Not Supplied (ENS) dan Average Energy not Supplied (AENS). Hasil diperoleh memperlihatkan, gangguan terbesar disebabkan oleh alat pengukur dn pengaman (APP) sebanyak 43 kali dengan presentase gangguan sebesar 48%. Indeks keandalan untuk SAIFI sebesar 8,42 kali/tahun, untuk SAIDI sebesar 25,33 jam/tahun  dan CAIDI sebesar 3 jam/gangguan. Nilai SAIFI dan SAIDI belum mencapai standard yang telah ditetapkan oleh PT. PLN (Persero) dan standard IEEE, sementara untuk nilai CAIDI sudah mencapai standard PLN tetapi belum memenuhi standard IEEE. Perhitungan nilai energi yang tidak terjuan (ENS) sebesar 66.541,885 kWh dan AENS sebesar 5,854 kWh/pelanggan. Kerugian PLN diakibatkan gangguan yang terjadi pada penyulang BG-2 pada tahun 2020 diasumsikan sebesar Rp.89.964.629,-
PENJADWALAN PROYEK DENGAN KURVA-S PADA PEMBANGUNAN PERUMAHAN DI KOTA BEKASI
Authors: Sulistia Dinda , Agustina Ida Deliyarti
Published: September 2023

Dalam proyek konstruksi terdapat beberapa jenis model instrumen penjadwalan yang biasa digunakan baik untuk proyek yang berskala kecil sampai yang besar baik yang bersifat formal maupun non formal. sering kita temukan jenis penjadwalan atau schedule berupa penjadwalan diagram batang/Gantt Chart dan Curve-S yang berfungsi memproyeksikan kemajuan progres bobot pekerjaan dan waktu pelaksanaan. Penelitian ini membahas cara pembuatan Curve-s sebagai sebuah jadwal pelaksanaan yang juga berfungsi sebagai indikator kemajuan progres pekerjaan yang harus dijadikan tolok ukur dilapangan. Lokasi Penelitian di Kota Bekasi Provinsi Jawa Barat. Model penjadwalan satu ini berguna untuk memberikan informasi berupa bobot pekerjaan dengan index 0% hingga 100% berdasarkan waktu  Kurva S berguna untuk memonitoring kemajuan pekerjaan dalam pelaksanaan konstruksi. Hasil penelitian ini adalah  bahwa Time schedule sangat membantu dalam menentukan hubungan. Manfaat dari time schedule ini sendiri sebagai acuan dasar tercapainya  tujuan dari Time Schedule juga agar mengetahui kapan dimulainya suatu item pekerjaan, lama pekerjaan dan rencana selesainya.
“Measurement of Effectiveness of Marketing Strategies of Satellite Television Channels in Bangladesh”
Authors: Huq Mohammad Nazmul
Published: September 2023

In today’s modern world television is not only a medium of entertainment, it has become edutainment. Satellite channels have enabled people to get knowledge and entertainment together. Realizing the need of people for edutainment different organizations have come forward and tried to meet the unsatisfied need. It has brought the world to our palms. In this paper, the author has tried to analyze the current situation of this industry and the marketing strategies undertaken by selected satellite channels in Bangladesh which include Channel I, RTV, NTV, and Bangla Vision. The channels are selected on the basis of the convenience of the researchers. The Personal interview method is used to collect data regarding the marketing activities of the mentioned channels. The main focus of this paper is to measure and evaluate the effectiveness of those marketing activities and to find out the shortcomings of the usage of marketing tools by these channels.
Fantastic Corruption and the Underdevelopment of Nigeria: The Spectators Paradigm
Authors: Atakpa Ofonmbuk Etido
Published: September 2023

A lot of hypotheses and theories have been adduced to analyse and explain the fact of endemic corruption and its deleterious effects on the development imperatives of Nigeria, where some of these explicating assumptions have tended toward overuse and monotony, hence the need for new ideas regarding both descriptive endeavors and prescribed remedies. In all these, Nigeria, despite its supposedly flourishing potential has found it difficult to achieve the level of development that is proportional to its human and capital endowments, not as much as by other reasons than by the fact of the recycling of an insincere class of leaders who, either as former military or civilian administrators, promised to fight corruption before taking office, but do exactly the opposite, and or are enmeshed in worse corruption controversies than the previous regimes. This paper innovates on both the conceptual exposition of corruption as was captured by the former Prime Minister of the UK, David Cameron and the utilization of an evolving theory-bound paradigm – the Spectators Approach to explain Nigeria’s leadership behavioral schemes in cajoling the masses to vote for them, but not doing much in line with their earlier sold promises/manifestoes, after gaining office. The paper recommends, among others, that all former presidents should be investigated and called to account regarding all direct and indirect corruption allegations levelled against them and that they should be tried where found guilty, otherwise, there would be no persuasive deterrent for future Nigerian leaders.
Understanding complexity in doctoral lifeworlds and impacts of advising ancestries
Authors: Rouse Rebecca
Published: September 2023

This paper shares findings from an interview study designed to open up critical conversations on complexity in advising. Using a narrative inquiry approach to centre storytelling and personal experience as valuable knowledge, I interview advisors (both academic and unofficial) who were central to my own doctoral research journey, as well as former doctoral students of mine. The interview results are put in relation with my own critical reflection on my advising practices as an ethos, as opposed to a set of tasks or functions, and put into context with larger social concepts such as positionality. This new perspective is suggested as a supplement to complexify and expand earlier research on advising styles. Advising is characterised as deeply entangled with mentoring as well as teaching at large, and the paper concludes with identification of larger ethea, reflecting how advising practices are co-constituted in relation with a range of other factors, such as positionality, institutional and disciplinary context, the larger student lifeworld, and perspectives on teaching and learning.
Doctoral supervision as and for praxis
Authors: Mahon Kathleen
Published: September 2023

In this paper, the author revisits empirical material generated in her PhD research in light of (a) her recent experiences and conversations as course coordinator of the supervision course at the centre of the Special Issue, and (b) current supervision practice. Part of her PhD research included examination of her own supervisors’ pedagogical praxis while they were supervising her doctorate. This examination occurred, rather uniquely, in dialogue with her supervisors in supervision meetings and interviews, and also through analysis of reflective notes made about her experiences of being supervised during the PhD. At the end of the paper, the author relates the findings of her retrospective analysis to her own being, becoming, and praxis as a supervisor and academic developer involved with the professional learning of supervisors. The discussion builds on current doctoral education and higher education praxis literature by highlighting, among other things, the role of supervision experiences—as both supervisor and supervisee—in supervisor becoming, and how, supervision practice as praxis can be both enacted and nurtured within a supervision team.
Becoming a professional supervisor: Doctoral supervisors’ development in a mandatory, large-scale development programme
Authors: Fossland Trine
Published: September 2023

High-quality supervision is crucial for doctoral researchers’ progression, attrition rates, well-being, and experience of their doctoral journeys. New requirements in higher education have actualised the professional development of doctoral supervisors’ praxis, both as an institutional responsibility and academic field. However, there is a lack of literature exploring doctoral supervisors’ perspectives on professional development. This paper explores what doctoral supervisors find essential for their professional development when attending a mandatory programme for doctoral supervisors. Drawing on a longitudinal case study on the professional development of supervisors, five core aspects essential for the professional development of doctoral supervisors’ praxis are identified: institutional responsibility and support; transformational learning; building a broader repertoire of approaches to supervision; learning to balance complexity, and interaction and identity formation within supervisors’ communities. Based on these findings, a set of institutional recommendations for the professional development of doctoral is suggested.