bluuebunny/crossref_metadata_2025 huggingface dataset:
Transformer object tracking algorithm based on spatiotemporal template focal attention
Authors: Guangwen Liu , Xinyue Xie , Qiang Fu , Hua Cai , Weigang Wang , Zhiyong Ma
Published: October 2024

Existing visual object tracking methods only use the target area of the first frame as a template, which makes it easy to fail in fast-changing and complex backgrounds. To solve this problem, this paper proposes a Transformer-based object tracking algorithm that focuses on the target focus information in the template and dynamically updates the template features. In order to reduce the interference of background information on attention, this algorithm uses a sparse Transformer module to achieve the interaction of feature information; a template focus attention module is also proposed to focus on the dynamic template features and the initial template features to retain the highly reliable feature information in the initial template. Experimental results show that the success rate and accuracy of this algorithm in the 0TB100 benchmark test are and respectively 70.9%, 91.6%and the success rate and accuracy are improved by 4.11%and respectively compared with the similar template update algorithm STARK 3.27%. This algorithm effectively addresses the limitations of existing visual object tracking methods and improves the accuracy and robustness of tracking.
Power equipment defect prediction based on time series knowledge graph
Authors: Yu Ji , Tongxin Wu , Zhiwei Yang , Ting Yu , Junting Li , Yude He
Published: October 2024

With the increasing scale of power facilities, the operation monitoring of power equipment has become an important part of power system management. Defect prediction of power equipment is a key step in power system operation monitoring. In order to solve the problem of defect prediction of power equipment in large-scale power systems, this paper proposes a power equipment defect prediction model based on time series knowledge graph in combination with artificial intelligence technology. Multimodal information is fused through the attention mechanism, and then the time series representation of entities and relations is obtained by using the relationship-aware graph neural network and recurrent neural network. Finally, the defects of power equipment are predicted based on the time series representation. The method proposed in this paper can make full use of multimodal information and improve the accuracy of power equipment defect prediction. Experiments show that the performance of the model proposed in this paper is better than that of the baseline model.
Treatment of Spastic quadriplegia resulting from hypoxia in newborn through body engineering technique-hand therapy Case Report Described by Parents: Qualitative study
Authors: Alboqaei Mohamed
Published: October 2024

Objectives: Summary of Case Report on Spastic quadriplegia accompanied by several disabilities. Treatment with Body Engineering/Hand Therapy. This case report describes the successful treatment of a 4 years old girl who was diagnosed with Spastic quadriplegia and global developmental delay accompanied with relapse, slurred speech, and cognitive delay resulting from hypoxia during child birth. To report a case of a girl who suffered Spastic quadriplegia, seizures, and delay in speech and perception due to hypoxia and to highlights the critical role of body engineering techniques for the rehabilitation of children with similar cases. Methods: An informed case report was given by from the child's parents. Functional recovery was achieved through a customized rehabilitation plan according to the body engineering / hand therapy techniques We highlight: -Medical Management for such cases. -A rehabilitation plan based on body engineering/ hand therapy techniques that led to complete recovery. -Satisfaction of the patient's parents after treatment. Results: Treating the patient through body engineering (hand therapy) and rehabilitating him for a full year led to the appearance of signs of clinical and radiographic improvement. Conclusions: Hypoxia-induced spastic quadriplegia often results in multiple disabilities, as seen in this case. Early intervention using body engineering techniques can lead to significant improvements in physical and cognitive functions. Continuous monitoring and rehabilitation are recommended to sustain progress and prevent relapses (Odding et al., 2006). Based on the provided information, body engineering and hand therapy have proven to be highly effective in rehabilitating a girl with hypoxia-induced cerebral palsy. Through a comprehensive rehabilitation program, the patient's physical, cognitive, and communication abilities have significantly improved. This case report underscores the importance of early intervention in maximizing outcomes for children with spastic quadriplegia. By providing ongoing support and tailoring rehabilitation programs to individual needs, it is possible to help these children reach their full potential, aligning with the World Health Organization's definition of rehabilitation as a process to improve performance and reduce disability.
Project Based Learning Model with Differentiated Learning Strategies on Learning Achievement of Elementary School Students
Authors: Sari Auliya Ayu Fatichah , Fanny Arif Mahya
Published: October 2024

This research is motivated by the learning process that is less than optimal for student learning achievement, this is due to the lack of learning models and strategies that are tailored to student learning needs. Teachers tend to use conventional learning models and lectures that make students bored faster and the learning needs of each student are not met optimally so that learning objectives do not reach the target. This research uses the Quasi Experimental method with a quantitative-based approach. The population in this study involved fourth grade students of SD Negeri Sedati Gede 2, and the sample of this study involved fourth grade students A with a total of 29 students and fourth grade students C with a total of 25 students. With the Posettest-only control research design used in two classes, namely the experimental class and the control class. Data collection methods/techniques in the form of test sheets with PJBL learning models with differentiated learning strategies that are applied through classroom learning such as the daily learning process. Based on the results of data analysis using SPSS version 25 with the Indipendent sample t test, it is known that the sig value. 0.000 <0.05 means that Ho is rejected and Ha is accepted. So it can be concluded that the application of the Project Based Learning learning model with differentiated learning strategies has a significant effect on the learning achievement of elementary school students.
A.M. Tallgren and ethnic interpretation in archaeology
Authors: Salminen Timo
Published: October 2024

The Finnish archaeologist Aarne Michaël Tallgren is remembered for his article on archaeological theory, which he published in Finnish in 1934 and in French for the international readership in 1936. There he denied the possibility of making ethnic conclusions on the basis of archaeological material. However, Tallgren’s relationship to ethnic questions has never before been analysed as a whole. This article examines how Tallgren’s conception of ethnicity developed. He inherited the ethnic paradigm of archaeology from his teachers but was initially rather cautious in his conclusions. Up to 1920, Tallgren’s own approach to ethnic questions gradually consolidated. In contrast to the view prevailing today, it is shown that ethnic conclusions were a central part of his reasoning in the 1920s but only in relation to the question of the roots of the Finnish people. Criticism against the ethnic paradigm of archaeology was voiced both in Finland and elsewhere in Europe in the 1910s and 1920s, and in the early 1930s, Tallgren also began to doubt this approach. Becoming acquainted with the new Soviet archaeology in the late 1920s sparked Tallgren’s interest in archaeology as social history, and the political use of the ethnic view of prehistory first in Germany and soon thereafter in the Soviet Union probably eventually led him to deny any ethnic conclusions.
SOCIAL CAPITAL ON THE BROILERS BUSINESS PARTNERSHIP SYSTEM
Authors: Utami Sri Wira , Mutmainnah Mutmainnah , Hakim Mita Arifah , Qinayah Mirnatul , Raisa Daeva Mubarika
Published: October 2024

The role of extension workers in assisting farmers to extend insurance has increased and the level of satisfaction felt by farmers has increased. This study aims to determine the assistance of extension workers in the extension of cattle farmer insurance (AUTS) in Central Sinjai District. The determination of the village sample is determined randomly by determining the sample and population that meets certain characteristics as a barrier with a sample size of 83 respondents. The analysis used in this research is descriptive analysis. The results showed that the role of the extension agent had the highest value of 3.759. The AUTS renewal process participants pay a premium of Rp. 40,000 per year which is included in the government subsidy. The instructor acts as a connector in terms of the fee process at the Indonesia Insurance Service (Jasindo) which must be paid according to the applicable policy. This is in accordance with (Agriculture & Farming, 2021), that farmers are accompanied by livestock officers / UPTD / BPP / Veterinarians in filling out registration forms and premium payments in the AUTS registration or renewal process 3.759. While the lowest value in assisting the extension of AUTS participants is the assistance of subsidy identification data, which is 3.228, because the participant's data already exists in the previous data. Based on the results of the study, it can be concluded that the role of the extension agent is mostly in the good category, and the assistance most felt by farmers is the collection of premiums which has the highest value of 3.759.
GAMBARAN TINGKAT PENGETAHUAN IBU TENTANG PEMBERIAN ASI EKSKLUSIF PADA BAYI 0-6 BULAN
Authors: Syuhada Wa Ode Nur , Jamuddin Jamuddin , Adfin Asrariyah Nur
Published: October 2024

This research is important because exclusive breastfeeding for the first six months is crucial for infant growth. Although recommended by the WHO, the coverage of exclusive breastfeeding remains low in some areas, possibly due to a lack of maternal knowledge about its benefits. This study aims to understand mothers' knowledge levels, support government programs to promote exclusive breastfeeding and contribute to efforts to reduce infant morbidity and mortality rates World Health Organization (WHO). This study aims to determine the level of maternal knowledge about exclusive breastfeeding for infants aged 0-6 months in the Working Area of UPTD Puskesmas Bukit Kangka, Siompu District, South Buton Regency. This research utilizes a quantitative approach with a descriptive design. The population for this study consists of mothers practicing exclusive breastfeeding with infants aged 0-6 months in the area, totaling 35 individuals. Sampling was conducted using total sampling. For future research, it is recommended to use mixed methods (quantitative and qualitative) to understand social factors affecting maternal knowledge. Additionally, expanding the study area and including variables such as education and employment could provide a broader perspective. Longitudinal studies are also suggested to assess the impact of education on the success of exclusive breastfeeding
THE THEORY OF LAWMAKING AND ITS ROLE IN IMPROVING LEGISLATIVE ACTIVITY
Authors: Abdrasulov E.B.
Published: October 2024

The article is devoted to the study of the theory of lawmaking, which encompasses the examination of concepts and approaches to legislative activity. It proposes the thesis that legislative technology should be based on the theory of legal regulation, which determines the scope and boundaries of legal regulation of public relations.

The author argues that overregulation of public relations by law is unacceptable; this occurs when the state attempts to cover nearly all aspects of society with regulatory and legal influence. This situation is typically characteristic of totalitarian societies, which, not understanding or ignoring the objective limits of legal regulation, have often tried throughout history to impose legal regulation on many relationships that, for objective reasons, could not practically be regulated through law. This led to the devaluation of law as the primary regulator of public relations and to significant violations of human rights and freedoms.

Additionally, the author examines the institute of legislative technology and notes that an important direction within legislative technology is adherence to the principles and provisions of legal theory. This theory addresses which relationships should be regulated by law and which should be subject to the regulatory impact of subordinate legal acts.

The article also conducts a study of the norms of the Constitution of the Republic of Kazakhstan, concluding that, to eliminate ambiguous interpretations of legislative and subordinate regulation issues, the norms of paragraph 3 of Article 61 should be specified by a minor amendment, specifically by introducing the word "parties" into the norm. The concepts of normative or legislative technique are also analyzed.
Uncloneable Quantum Advice
Authors: Broadbent Anne , Karvonen Martti , Lord Sébastien
Published: October 2024

The famous no-cloning principle has been shown recently to enable a number of uncloneable cryptographic primitives, including the copy-protection of certain functionalities. Here we address for the first time unkeyed quantum uncloneablity, via the study of a complexity-theoretic tool that enables a computation, but that is natively unkeyed: quantum advice. Remarkably, this is an application of the no-cloning principle in a context where the quantum states of interest are not chosen by a random process. We establish unconditional constructions for promise problems admitting uncloneable quantum advice and, assuming the feasibility of quantum copy-protecting certain functions, for languages with uncloneable advice. Along the way, we note that state complexity classes, introduced by Rosenthal and Yuen (ITCS 2022) — which concern the computational difficulty of synthesizing sequences of quantum states — can be naturally generalized to obtain state cloning complexity classes. We make initial observations on these classes, notably obtaining a result analogous to the existence of undecidable problems.

Our proof technique defines and constructs ingenerable sequences of finite bit strings, essentially meaning that they cannot be generated by any uniform circuit family with non-negligible probability. We then prove a generic result showing that the difficulty of accomplishing a computational task on uniformly random inputs implies its difficulty on any fixed, ingenerable sequence. We use this result to derandomize quantum cryptographic games that relate to cloning, and then incorporate a result of Kundu and Tan (arXiv 2022) to obtain uncloneable advice. Applying this two-step process to a monogamy-of-entanglement game yields a promise problem with uncloneable advice, and applying it to the quantum copy-protection of pseudorandom functions with super-logarithmic output lengths yields a language with uncloneable advice.
FINALLY: A Multi-Key FHE Scheme Based on NTRU and LWE
Authors: Park Jeongeun , van Leeuwen Barry , Zajonc Oliver
Published: October 2024

Multi-key fully homomorphic encryption (MKFHE), a generalization of fully homomorphic encryption (FHE), enables a computation over encrypted data under multiple keys. The first MKFHE schemes were based on the NTRU primitive, however these early NTRU based FHE schemes were found to be insecure due to the problem of over-stretched parameters. Recently, in the case of standard (non-multi key) FHE a secure version, called FINAL, of NTRU has been found. In this work we extend FINAL to an MKFHE scheme, this allows us to benefit from some of the performance advantages provided by NTRU based primitives. Thus, our scheme provides competitive performance against current state-of-the-art multi-key TFHE, in particular reducing the computational complexity from quadratic to linear in the number of keys.
Special Soundness Revisited
Authors: Wikström Douglas
Published: October 2024

We generalize and abstract the problem of extracting a witness from a prover of a special sound protocol into a combinatorial problem induced by a sequence of matroids and a predicate, and present a parametrized algorithm for solving this problem.

The parametrization provides a tight tradeoff between the running time and the extraction error of the algorithm, which allows optimizing the parameters to minimize: the soundness error for interactive proofs, or the extraction time for proofs of knowledge.

In contrast to previous work we bound the distribution of the running time and not only the expected running time. Tail bounds give a tighter analysis when applied recursively and a concentrated running time.
Cryptanalysis of TS-Hash
Authors: Udovenko Aleksei
Published: October 2024

This note presents attacks on the lightweight hash function TS-Hash proposed by Tsaban, including a polynomial-time preimage attack for short messages (at most

n
/
2

bits), high-probability differentials, a general subexponential-time preimage attack, and linearization techniques.
The Uber-Knowledge Assumption: A Bridge to the AGM
Authors: Bauer Balthazar , Farshim Pooya , Harasser Patrick , Kohlweiss Markulf
Published: October 2024

The generic-group model (GGM) and the algebraic-group model (AGM) have been exceptionally successful in proving the security of many classical and modern cryptosystems. These models, however, come with standard-model uninstantiability results, raising the question of whether the schemes analyzed under them can be based on firmer standard-model footing.

We formulate the uber-knowledge (UK) assumption, a standard-model assumption that naturally extends the uber-assumption family to knowledge-type problems. We justify the soundness of UK in both the bilinear GGM and the bilinear AGM. Along the way we extend these models to account for hashing into groups, an adversarial capability that is available in many concrete groups—In contrast to standard assumptions, hashing may affect the validity of knowledge assumptions. These results, in turn, enable a modular approach to security in the GGM and the AGM.

As example applications, we use the UK assumption to prove knowledge soundness of Groth's zero-knowledge SNARK (EUROCRYPT 2016) and of KZG polynomial commitments (ASIACRYPT 2010) in the standard model, where for the former we reuse the existing proof in the AGM without hashing.
Leakage Model-flexible Deep Learning-based Side-channel Analysis
Authors: Wu Lichao , Rezaeezade Azade , Ali-pour Amir , Perin Guilherme , Picek Stjepan
Published: October 2024

Profiling side-channel analysis has gained widespread acceptance in both academic and industrial realms due to its robust capacity to unveil protected secrets, even in the presence of countermeasures. To harness this capability, an adversary must access a clone of the target device to acquire profiling measurements, labeling them with leakage models. The challenge of finding an effective leakage model, especially for a protected dataset with a low signal-to-noise ratio or weak correlation between actual leakages and labels, often necessitates an intuitive engineering approach, as otherwise, the attack will not perform well.

In this paper, we introduce a deep learning approach with a flexible leakage model, referred to as the multi-bit model. Instead of trying to learn a pre-determined representation of the target intermediate data, we utilize the concept of the stochastic model to decompose the label into bits. Then, the deep learning model is used to classify each bit independently. This versatile multi-bit model can adjust to existing leakage models like the Hamming weight and Most Significant Bit while also possessing the flexibility to adapt to complex leakage scenarios. To further improve the attack efficiency, we extend the multi-bit model to profile all 16 subkey bytes simultaneously, which requires negligible computational effort. The experimental results show that the proposed methods can efficiently break all key bytes across four considered datasets while the conventional leakage models fail. Our work signifies a significant step forward in deep learning-based side-channel attacks, showcasing a high degree of flexibility and efficiency with the proposed leakage model.
The Impact of Commercial Sectors on Environmental Quality: A Case Study of Tabriz's Ecosystem and Financial Landscape
Authors: Mehdi Norouzian Mohammad , Gheitarani Nima
Published: October 2024

Commercial sectors play a crucial role in the national economy by facilitating resource accumulation through both small and large savings, optimizing the distribution of financial resources, and directing them towards the costs and investment requirements of productive sectors. Most research exploring the link between economic growth and environmental factors is grounded in the Kuznets hypothesis. The findings indicate a unidirectional relationship between financial development and gas emissions. Specifically, the ratio of domestic credit to the private sector, expressed as a percentage of GDP, positively influences financial markets and significantly impacts biogas emissions in selected middle-income nations. Consequently, the hypothesis asserting a significant relationship between domestic credit to the private sector (as a percentage of GDP) and environmental gas emissions cannot be dismissed. Additionally, the ratio of traded stocks to the volume of stock market transactions, serving as a capital market indicator, has a positive and significant effect on emissions, reinforcing its role as an environmental quality indicator in the co-gas group of the two selected middle-income countries. Thus, the hypothesis regarding the significant relationship between the ratio of traded stocks and gas emissions as an environmental quality indicator remains valid. Based on the findings of this study, several recommendations are proposed: Reducing government size to foster greater non-governmental sector participation, enhancing public awareness across various demographics through media to mitigate environmental pollution, discouraging foreign investment in polluting industries, and promoting the establishment and development of environmental protection organizations through training and resource allocation.
Enhancing Supply Chain Management for Improved Performance: A Case Study of Mambilla Beverages Nig. Limited
Authors: Jacob Ansho , Siman Sunday , Sesuur Zipporah Akpusugh
Published: October 2024

In today's dynamic business environment, effective supply chain management (SCM) is crucial for organizations seeking to enhance performance and gain a competitive edge. This study investigates the impact of Supplier Relationship Management (SRM) and Transportation Efficiency (TE) on the performance of Mambilla Beverages Nig. Limited (MBNL). The research adopts a quantitative approach, utilizing survey data collected from 171 respondents within the organization. The findings reveal significant positive effect of SRM, TE, on MBNL's performance, as evidenced by regression analysis results. Specifically, the study finds that strong supplier relationships and efficient transportation logistics significantly contribute to MBNL's sales performance. Based on these findings, recommendations are provided for MBNL to strengthen supplier relationships, enhance transportation efficiency, embrace technology, and prioritize training and development initiatives. By implementing these recommendations, MBNL can optimize its supply chain operations, improve operational efficiency, and achieve sustainable growth in the competitive beverage industry.
Fall Risk Management by Nurses in the Inpatient Wards of Aceh Government Regional General Hospital, Indonesia
Authors: Clarinda Muis Rara , Kamil Hajjul , Putra Ardia , Yusuf Muhammad , Mayasari Putri
Published: October 2024

A patient fall is an incident that commonly occurs with or without injury. Not only does it potentially cause injury, but these incidents can also prolong the length of stay and increase the treatment cost. Nurses play an essential role in assessing and preventing the risk of falls in patients through appropriate education and preventive measures by Standard Operating Procedures (SOP). Effective implementation of SOPs can reduce the frequency and impact of fall incidents and improve the safety and quality of patient care. This case study aimed to expound on fall risk management in the Aceh Government Regional General Hospital wards. A quantitative case study type with a cross-sectional study was designed. The sample consisted of 28 nurses, and the data collection tool used an observation sheet to examine the implementation of fall risk management following the hospital SOP. Data analysis used descriptive statistical tests; the data was then presented as a frequency distribution table. The results show that 67.9% of nurses implemented fall risk management, and 32.1% did not implement it. It was essential to increase nurses’ compliance with the SOP for managing fall risk by monitoring and evaluating periodically and in stages by the first-line manager in the Aceh Government Regional General Hospital wards. It is also recommended that nurses routinely assess the risk of falling in patients, educate patients and their families about it, and participate in ongoing training to improve patient safety in hospitals to achieve better quality healthcare.
Flexural Strength of Nanohybrid Composite Resin: An in-vitro Study
Authors: Ali Hasan , Khuram Choudhury Nahid , Gaffer Abdul , Rahman Md. Mukhlachur , Sultana Fouzia , Ahmad Masud , Hoq Shusta Farhana , Hossain Toushik , Hossain Mozammal
Published: October 2024

In the present study, the Flexural strength of nanohybrid composite was compared with conventional microfilled composite resin in vitro. Thirty nanohyrid and 30 conventional microfilled composite resins were subjected to Flexural strength measurement as follows; a teflon mold (4 mm in diameter and 6 mm in depth) was filled with materials, light cured through the glass slides for 40 sec top and bottom surfaces. Then the specimens were taken out from the mold, again light curing for 40 sec, stored in dry condition and placed into a Flexural strength tester and loaded until fracture of the sample. Student t-test was performed to assess the differences between two groups and a value of p >0.05 was considered as statistically significance. The results showed that the means ± SD Flexural strength of nanobybrid and conventional microfilled composite resin were 118.70 ± 3.90 Mpa and 77.43 ± 2.65 Mpa, respectively and the differences were statistically significant. It can be concluded that nanohybrid is superior to conventional microfilled composite resin in respect to Flexural strenth in class II restorations of permanent molar teeth.
Principles of Donkey Movement
Authors: Milivoje Urošević , Darko Drobnjak , Danka Štastna , Radomir Mandić
Published: October 2024

Observed through historical epochs and evolutionary periods, the movement of mammals basically developed into two groups. One group consists of ungulates (Perissodactyla), and the other group consists of ungulates (Artiodactyla). Among ungulates, wild and tame horses, wild and tame donkeys, and semi-donkeys were distinguished by the specific movement of their legs forward. We call this whole group Equiden.
Application Development Model E-Commerce in Traditional Markets Using the TOGAF Framework
Authors: Irawan Bei Harira , Prihadi Deddy , Rahmatika Dien Noviany , Nugroho Catur , Waskita Jaka , Meyrawati A Octania
Published: October 2024

The existence of traditional markets is increasingly being eroded by the presence of online market models that already utilize various e-commerce platforms. However, the TOGAF Framework provides a ray of hope. Even though the existence of traditional markets is unlikely to disappear, if traders in traditional markets do not try to adapt to using e-commerce, it will have an impact on losing customers, losing turnover, and will even affect the acceleration of their business. Architectural design for system development in traditional market activities can provide an important picture of how to advance traditional market industries that will not be out of competition with modern markets. TOGAF (The Open Group Architecture Framework) provides a detailed method of how patterns build, manage, and implement enterprise architecture and information systems called the Architecture Development Method. Analysis using the TOGAF Framework provides an overview of how to plan, design, develop and implement information system architectures for traditional markets. The results of this design analysis are an information technology architectural design which is the basis for traditional market managers, especially in Indonesia, in advancing the business processes of traders in the market so that they are not unable to compete with modern markets but with gap analysis constraints that must really be considered with regard to internet infrastructure problems in the market, sellers who are not fully able to use technology due to age and not all forms of goods on the market can be sold through e-commerce platforms. This gap analysis will make e-commerce implementation slow to implement.
IoT Smart Gardening on Herbal Plant and Analytic Virtualization Platform System
Authors: Abdul Ghafar Nor Iskandar , Kassim Murizah
Published: October 2024

The Internet of Things (IoT) is an emerging technology developing recently. The technology of IoT allows users to communicate with controllers and sensors, which are widely used in the agricultural sector, such as farming and weather forecasts. Recently, it has been identified that traditional herbal home gardens are difficult to monitor where herbal plants are sensitive and need a proper monitor. This research has developed an IoT smart gardening for herbal plant systems that helps to analyze four herbal plant types: Aloe Barbadensis miller, Salvia Rosmarimus, Clinacanthus nutans, and Curcuma. The system was designed using a NodeMCU ESP32 controller, soil moisture sensor, and DHT11 temperature and humidity sensor. The collected data was monitored in real-time on the Blynk platform via mobile phones and web browsers on sunny and rainy days. The result shows that the highest temperature on a sunny day was captured at 30°C, and the lowest was 26°C. However, during a rainy day, the highest temperature captured is 28°C and the lowest was 24°C. The highest humidity percentage on a sunny day was 80%, and the lowest was 40%, while the highest humidity on a rainy day was 98%, and the lowest was 68%. The soil moisture data that captured the water content of the soil of each herbal plant on a sunny day has been lost due to high temperatures. However, each herbal plant barely lost its water content due to low temperature and high humidity percentage conditions. The comparison showed that temperature, humidity, and weather could affect the water content in the soil. This research has significantly improved the agriculture sector in monitoring herbal plants and moving from traditional planting with an IoT system concept.
Designing Learning Centres that Facilitate Knowledge Construction on Science Process Skills in Early Childhood Classrooms
Authors: Pakombwele Agnes , Tsakeni Maria
Published: October 2024

Science education is perceived to have the potential to develop 21st century competencies. In Zimbabwe, the teaching of science in early childhood by using learning centres is considered as a way of empowering young learners with scientific knowledge and skills to become productive citizens in future. To strengthen the initiative, resources are being channelled and policies crafted to support the teaching of STEM (science, technology, engineering and mathematics). Despite considerable efforts to introduce STEM in early childhood development (ECD), research concerning the benefits of developing science skills using learning centres is sparse. This study adopted an interpretive paradigm and multiple case study design for three schools and three purposively selected ECD teachers. Data was solicited through semi-structured interviews, document analysis and classroom observations. The variable nature of learning centres in ECD classrooms is an indication of shortcomings in policy on teaching using learning centres. At learning centres, learners construct scientific knowledge, ideas and skills through interaction with peers and developmentally appropriate materials. Teachers should be creative and innovative and create learning centres that enable learners to explore the world and construct scientific knowledge through active participation and sharing ideas. A policy to guide the teachers on constructing appropriate learning centres for effective teaching of science skills should be drafted.
Interpretation of the Verbal Similarities according to Sheikh Al-Shaarawi he Died In 1998 AD in his Interpretation of Al-Khawatir from Verses (58-59) of Surat Al-Baqarah- Graphic study
Authors: Ashour Hoda Hamad Naeema , Al-Falahi Issa Ahmed Mahal
Published: October 2024

It is necessary for every researcher before delving into the heart of a topicHAnd its details from Summary in it he explains the approach he followed in arranging his issues. Therefore, it was necessary to classify and divide the issues either according to their occurrence in the Qur’an, or according to their classification according to the type of verbal analogy to which they belong. It is no secret that each approach has its drawbacks and advantages. And the terminology, and therefore I will strive to follow a unified curriculum unless I notice that, or I find benefit from diversifying the curricula, and all of that I will discuss matter.
Pertarungan Islam Global Dalam Dinamika Politik Indonesia Pasca Reformasi
Authors: Firdaus Mohamad , Hidayat Arief
Published: October 2024

Tulisan ini hendak membahas mengenai pertarungan Islam global dalam dinamika politik Indonesia pasca reformasi. Perjalanan Islam sebagai agama dari jazirah arab menimbulkan banyak perubahan lansekap di negara-negara lain yang menerimanya sebagai ajaran sebuah agama baru. Konteks Islam global disini mengacu pada adnya penyebaran agama Islam secara universal dengan menembus batas teritorial negara lainnya. Appadurai menyebutkan bahwa globalisasi membawa adanya perubahan pada aras sosio kultural masyarakat dengan menyebarnya pandangan tentang ruang (scape). Dalam praktiknya, universalisme islam ini mendapat beragam perlakuan. Di Indonesia khususnya, arah Islam sebagai ajaran dan lembaga terbagi menjadi pecahan yang sangat multi. Dua besar diantaranya masuk dalam aliran “Islam puritan” dan “Islam kultural”.  Mereka yang masuk dalam Islam puritan cenderung pada tafsir lateral mengikuti “kebudayaan asal Islam”, sedangkan yang lebih kultural telah disesuaikan dengan situasi dan kondisi masyarakat. Artikel ini menggunakan metode penelitian kualitatif tekstual dengan menggunakan instrumen tinjauan pustaka yang relevan. Kesimpulan artikel ini didapatkan bahwa globalisme Islam yang ada di Indonesia tidak hanya masuk sebagai agama baru, namun telah menjelma menjadi kekuatan yang digunakan untuk menaklukkan sendi-sendi perikehidupan sosial, politik dan kultural yang ada di Indonesia.
AUTISM AWARENESS ON TIKTOK: IMPACT ON YOUTH PERCEPTIONS
Authors: A Dzulkifli Nur Danisa Humaira , Masharudean Madihah Humaira , Mohd Ihsan Aisya Humayrah  , Mahamad Nur Ifatul Izzara , Jamri Mohamad Hafifi , Rizkiyansyah Ferry Kurnia
Published: October 2024

Autism spectrum disorders (ASD) comprise a wide range of conditions characterised by varying degrees of challenges with social interaction and communication. Meanwhile, TikTok is a social media platform that allows users to share short videos. The purpose of this study is to measure the level of youth’s awareness towards autism spectrum disorder (ASD) on TikTok and to reduce stigma towards autism spectrum disorder (ASD) among youth. The study adopted magic bullet theory as the basis for developing its model. A total of 408 respondents, comprising multi-ethnic Malaysian youth between the ages of 15-40 who have exposure to social media usage, participated through an online questionnaire distributed to them. Both convenience sampling and purposive sampling were integrated for data collection. Manual analysis was done to analyze the collected research data. The main findings of the study showed that exposure to autism awareness content on TikTok has emerged as a powerful catalyst in transforming youths’ attitudes toward autism. Overall, this study revealed that TikTok could be used as an effective tool to spread awareness and change the stigma or negative perception of youth towards ASD issues.
Kebijakan Lingkungan Terhadap Permasalahan Tambang Pasir di Moro Kepulauan Riau Yang Berdampak Pada Lingkungan Masyarakat Moro
Authors: Amalia Kiki , Dandi Sri , Wahyuningsih Yuyun
Published: October 2024

Kegiatan tambang di pasir Moro Kepulauan Riau telah menimbulkan banyak permasalahan lingkungan yang serius terutama kerusakan ekosistem laut dan perubahan lanskap yang berdampak pada kehidupan sosial ekonomi masyarakat pesisir. Masalah ini semakin kompleks dengan adanya kebijakan pemerintah yang membuka kembali izin ekspor pasir laut, pada dasarnya sebelumnya juga telah ada regulasi yang melarang praktik tersebut. Penelitian ini bertujuan untuk menganalisis dampak lingkungan dari tambang pasir serta mengevaluasi upaya penanggulangan dan regulasi yang diterapkan oleh pemerintah. Metode penelitian yang digunakan yaitu pendekatan kualitatif dengan teknik pengumpulan data melalui studi dokumen, literatur, dan analisis kebijakan terkait. Adapun data yang diperoleh diolah melalui proses editing, pengelompokan, verifikasi, dan penarikan kesimpulan secara deskriptif untuk memberikan gambaran objektif mengenai kondisi di lapangan. Hasil penelitian menunjukkan bahwa kegiatan tambang pasir di Kepulauan Riau berdampak pada pengikisan pantai, kerusakan habitat ekosistem laut, dan gangguan terhadap siklus hidrologi lokal. Upaya penanggulangan oleh pemerintah telah dilakukan melalui regulasi seperti Keputusan Presiden Nomor 33 Tahun 2002 dan Peraturan Pemerintah Nomor 26 Tahun 2023. Adanya tantangan dalam implementasi regulasi dan penegakan hukum masih tinggi terutama terkait dengan aktivitas tambang ilegal dan kurangnya kapasitas pengawasan. Sinergi antara pemerintah, masyarakat, dan sektor swasta sangat diperlukan dengan tujuan untuk menjaga keseimbangan antara kebutuhan ekonomi dan kelestarian lingkungan.
Aconselhamento nutricional com ênfase na alimentação cardioprotetora e saúde para hipertensas: Impacto na atenção primária
Authors: Taques Nilciane , de Freitas Loiola Anna Flávia , Eurich Mazur Caryna , Eloy Schmeider Fernanda
Published: October 2024

Introdução: A hipertensão arterial sistêmica (HAS) é uma doença crônica multifatorial, sendo uma das causas de morbimortalidade por doenças cardiovasculares (DCV). Dentre os fatores de risco encontram-se aqueles que podem ser prevenidos por meio da alteração de comportamentos, como a alimentação inadequada. A alimentação possui importante função na promoção da saúde e no desenvolvimento de doenças, com destaque para as Doenças Crônicas Não Transmissíveis (DCNT), onde a HAS está inclusa. Objetivo: verificar a efetividade do aconselhamento nutricional e em saúde em hipertensas associada a uma alimentação cardioprotetora. Métodos: Trata-se de um estudo transversal intervenção com hipertensas, cadastradas em uma Unidade de Estratégia de Saúde da Família (ESF) de Guarapuava-PR. As participantes receberam simultaneamente intervenção conjunta da fisioterapia e nutrição. O aconselhamento nutricional e em saúde, foi baseada nos princípios da Alimentação Cardioprotetora desenvolvida pelo Ministério da Saúde, ocorrendo em seis encontros semanais. Resultados: Houve participação de 10 hipertensas com idade entre 35 e 57 anos, observou-se um aumento no consumo diário de alimentos cardioprotetores, redução significativa do consumo diário de alimentos ultraprocessados e ingredientes culinários, aumento no consumo hídrico e consequentemente melhora no estado nutricional das hipertensas após aconselhamento nutricional. Conclusão: Os resultados indicaram que a maioria das participantes com HAS modificaram seus hábitos alimentares após aconselhamento nutricional e com isso, espera-se que as estratégias educativas embasadas nas ações de educação em saúde dentro da APS, sejam fortalecidas por meio de políticas públicas, já que foi enfatizando seu efeito positivo no tratamento de usuárias hipertensas. Palavras-chave: Apoio nutricional; educação alimentar e nutricional; fatores de risco de doenças cardíacas; hipertensão arterial sistêmica.
The Effect Of Stock Price, Earning Per Share, Current Year Profit, Inflation, Interest And Exchange Rate On Construction Investment In Pt. Total Bangun Persada Tbk During 2013-2022
Authors: Sugiharto Ugi , Astuty Pudji
Published: October 2024

Indonesia is vigorously promoting progress in the construction sector, a key aspect of infrastructure development aimed at achieving equitable distribution across the country and preventing economic disparities (Willar, Waney, Pangemanan, & Mait, 2019). Infrastructure development is an essential program that continues to be advanced to enhance infrastructure and ensure economic equality throughout Indonesia. One of the primary infrastructure sectors targeted for development is construction (Pridayanti, 2014). Construction plays a vital role in supporting economic growth and improving the quality of life by providing necessary facilities and amenities. The construction of roads, bridges, buildings, and other infrastructures not only enhances connectivity and logistics efficiency but creates jobs and attracts investment. Therefore, the construction sector is a priority in the government's efforts to strengthen national competitiveness and catch up with other countries.
One solution to support infrastructure development, particularly in construction, is through investment. Investment in the construction sector is crucial as it provides the necessary funds to build and improve existing and new infrastructures (Tambunan, Sabijono, & Lambey, 2019). Moreover, investment can attract reputable and competent construction companies, such as PT Total Bangun Persada Tbk, a private company engaged in construction. Investment also plays a role in creating new jobs, enhancing local workforce skills, and fostering economic growth (Mara, 2022).
In making investment decisions, several factors need to be considered, such as the impact of stock prices, Earnings Per Share (EPS), current profit, inflation, interest rates, and exchange rates. Stock prices reflect the company's performance and market perception of prospects, while EPS indicates the profit earned per share, providing insight into the company's financial health. Current profit shows the profitability generated from daily operations. Inflation and interest rates are macroeconomic indicators that affect purchasing power and capital costs. Exchange rates, on the other hand, influence the cost of importing raw materials and the company's exposure to international markets. All these factors must be comprehensively considered to make wise and beneficial investment decisions.
The Understanding of Electrical and Computer Engineering Students to Translate Sharia Economic Texts Via Google Translate
Authors: Adria Agus
Published: October 2024

The potential of Islamic economics to develop in Aceh where Islamic culture and values ​​are very large and strong. Therefore, even though electrical and computer engineering students do not specifically study Islamic economics courses but live in Aceh, it is important to know the insight into Islamic economic texts. Google translate is very helpful in translating texts with nuances of sharia economics in Aceh to electrical and computer engineering students. This research was a descriptive-qualitative. The data used as a test comes from the abstract of an article by Ode and Hamizar (2024) entitled "Quantitative Analysis of the Relationship between Income and Welfare of Tuna Fishermen from the Perspective of Sharia Finance" which title is themed on sharia finance which is needed to determine the abilities of electrical and computer engineering students so that they can have insight related to the sharia economic system where this system is implemented in Aceh where they live. It can be concluded that electrical and computer engineering students can understand the interlingual translation of abstracts related to Islamic economics in English into Indonesian via Google Translate.
The Impact of Cryptocurrency and Electronic Money Use On The Circulating Money Supply and Monetary Stability in Indonesia
Authors: Sari Yolanda , Winarni Etik
Published: October 2024

The purpose of this research is to analyze the long-term and short-term impacts of the use of cryptocurrency and electronic money on the money supply (M2) in Indonesia, as well as to analyze the long-term and short-term impacts of the use of cryptocurrency and electronic money on monetary stability (exchange rates) in Indonesia. The research method used is quantitative descriptive analysis with the Vector Error Correction Model (VECM) using the Eviews application and secondary data in the form of monthly data from 2011 to 2023 obtained from the official websites of Bank Indonesia and Finance. This study utilizes data on cryptocurrency transaction values and electronic money transaction values in Indonesia by analyzing the VECM model, which can observe the long-term and short-term impacts of the use of digital money on the money supply and monetary stability, in this case, viewed through the Indonesian exchange rate. The research results indicate that there is a one-way causality between electronic money and cryptocurrency, but not the other way around, and there is a one-way causality between the money supply and cryptocurrency, with the money supply as the dependent variable influencing cryptocurrency. The results of the VECM estimation indicate that in the long term, electronic money has a negative and sifnificant impact on the money supply. Meanwhile, the short-term estimation shows that both cryptocurrency and electronic money significantly influence the money supply, but their effects are dynamic and vary based on different lags. The long-term estimation with the exchange rate as the dependent variable shows that cryptocurrency does not have a significant impact on the exchange rate, while in the short term, both cryptocurrency and electronic money have a negative and significant effect on the exchange rate.
Impact Of International Trade On Regional Economic Growth
Authors: Judijanto Loso , Azizs Abdul
Published: October 2024

This study aims to analyze the impact of international trade on regional economic growth through literature studies. International trade is one of the main drivers of economic growth in the era of globalization. Despite a significant increase in the volume of global trade, the distribution of benefits is not always evenly distributed across regions. Some regions with adequate infrastructure access and supportive economic policies experience rapid economic growth, while other less developed regions face limitations in taking advantage of international trade opportunities. This study shows that international trade contributes significantly to increasing Gross Regional Domestic Product (GRDP), investment, and job creation, although these impacts depend on the readiness of infrastructure and the competitiveness of each region. Factors such as government policies and access to global markets also play a role in influencing the benefits obtained. This study recommends policies for infrastructure development and strengthening the competitiveness of local products to ensure that all regions can feel the optimal benefits of international trade. The results of this study provide direction for the government in formulating policies that encourage inclusive and sustainable economic growth at the regional level.