bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengembangan Ekonomi Masyarakat Asli Berbasis Komoditi Kayu Putih di Kawasan Taman Nasional
Authors: Siman Sebestina , Lembang Hendricus
Published: August 2023

The purpose of this study is to determine determine the cluster of local community comodity development areas, namely eucalyptus oil, development policies and the constraints faced by indigenous people eucalyptus oil business actors. The type of research used is a desciptive  qualitative approach. Tehniques of obtaining data are observation, interview and library research. The results of this study indicate that eucalyptus oil has prospect for indigenous people in 4 villages, in the Wasur National Park Area. Wasur Village, Rawa Biru Village, Yangandur Village and Sota Village as cluster of eucalyptus oil business oil development, the obstacles faced are the work spirit and mindset that is not yet oriented to a wider market, the long distance from the source of the leaves to the place of processing, the level of productivity labor force is still low, seasonal dependence, management and competitiveness still low. So that the management development policies adopted are partnership policy, creating of a healty business atmosphere policy and increasing competitivness policy.
Keywords: local economy, comodity, eucalyptus oil, policy
Analisis Laporan Keuangan Unit Pengelola Kegiatan Program Nasional Pemberdayaan Masyarakat Mandiri Pedesaan Dalam Pengukuran Profitabilitas
Authors: Rachman Adi maulana , Ismail Ismail , Parman Parman
Published: August 2023

ABSTRACT
The title that the author proposes in this study is "Financial Statement Analysis in Measuring Profitability Levels in the Rural PNPM Mandiri Activity Management Unit, Cinangka District, Serang Regency". measuring the level of profitability in the PNPM Mandiri Rural Activity Management Unit, Cinangka District, Serang Regency. To discuss the formulation of the problem above, in this study the author uses a descriptive research method, namely a method that describes or solves problems faced in the present. With data collection techniques documentation, interviews, observations, and literature study. With analysis techniques and the ratio of operating profit to business assets, the ratio of the rate of return on investment, and the ratio of economic profitability. The result of this research is the analysis of profitability ratios for 2013 by 3%. So the results of the study can answer the question of research problems, namely that the analysis of financial statements can be used as a tool for management to determine the level of profitability in the PNPM Mandiri Rural Activity Management Unit, Cinangka District, Serang Regency. As for reducing the decrease in the profitability ratio of the PNPM Mandiri Rural Activity Management Unit, Cinangka District, Serang Regency, efforts are made to increase revenue and reduce costs so that an increase in profit is obtained.
Keywords: financial statement analysis, profitability, PNPM Mandiri Rural
Peran Sumber Daya Manusia Dalam Meningkatkan Pembangunan Kesejahteraan Masyarakat
Authors: Mirin Yakobus , Meilvidiri Wayrohi
Published: August 2023

ABSTRACT
This study aims to determine the role of human resources in improving the development of community welfare in Bokem Village, Merauke District, Merauke Regency.
The sample used was 11 informants, using a qualitative approach to analyze data related to the object of research. While the data collection techniques used include interviews and observations.
The results of the study through interviews showed that the role of the quality of human resources in Bokem Village, almost 32% of informants said it was very good, as well as for the role of formal and non-formal education development, almost 36% of informants said the government had implemented formal and non-formal education programs by providing trainings. to the community starting from 2015-2016, the aim is to encourage the development of human resources, especially for people who have limited education and knowledge in theory and practice in the field so that they can understand and develop themselves independently, according to their personal power of thought and abilities.
The results of the research through interviews showed that the role of infrastructure development in Bokem Village, almost 35% of informants said it was very good, this was seen from the provision of decent housing assistance for the community and providing public facilities in Bokem Village. it's just that the obstacle is the construction of road infrastructure connecting Bokem Village to the city which is very worrying, so this is also one of the obstacles to the economy for the people of Bokem Village. However, the government has never carried out the development role in the field of fisheries, such as providing fishing gear and providing training to the community related to the fishery sector. If the development role in the field of animal husbandry and agriculture has been very good, this can be seen from the provision of livestock, as well as the provision of fertilizers and heavy equipment to the community so that they can support the business processes of the corporate community, so that the community can feel welfare. Meanwhile, the role of development in the fields of education and health has not been going well until now, this is due to the lack of discipline for teachers and medical personnel in teaching positions and health services to the community in Bokem Village.
Keywords: Human Resources, Community Welfare Development
Analisis Tingkat Pendapatan Pengusaha Penggilingan Padi
Authors: Fangohoy Agustinus
Published: August 2023

Suatu  penelitian  untuk  mengetahui  berapa  tingkat  pendapatan  bersih  pengusaha  penggilingan  padi  dan  untuk  mengetahui  tingkat  efisiensi  para  pengusaha  penggilingan  padi  di  Kampung  Waninggap  Miraf  Kabupaten  Merauke. populasi  dalam  penelitian  ini  sebanyak  25 usaha   dan  sampel  yang  diambil  dalam  penelitian  sebanyak  25  usaha. Alat  analisis  data  yang  digunakan  untuk  mengetahui  tingkat  pendapatan  adalah  analisis  profitability: π=RT-TC. Hasil penelitian  menunjukkan  bahwa  seluruh  pengusaha  penggilingan  padi  tidak  memperoleh  kerugian,hal  ini  di  karenakan  seluruh  pengusaha  penggilingan  padi  mempunyai  biaya  produksi  yang  di  keluarkan  dan  mereka  memperoleh  penghasilan  atau  penerimaan  cukup  besar  sehingga  mereka  memperoleh  keuntungan.
Kata Kunci: Pendapatan Pengusaha Penggilingan Padi
Pengaruh Tingkat Upah Tenaga Kerja terhadap Kesejahteraan Tenaga Kerja Bongkar Muat (TKBM) di Kabupaten Merauke
Authors: Lembang Hendricus
Published: August 2023

Pengaruh Tingkat Upah terhadap Kesejahteraan Tenaga Kerja Bongkar Muat (TKBM) di Pelabuhan Merauke, dibimbing oleh Hendricus Lembang
Metode penelitian yang digunakan adalah jenis penelitian kuantitatif. Data dalam penelitian ini adalah data primer yang dilakukan dengan menyebarkan kuesioner sebanyak 53 responden pada Tenaga Kerja Bongkat Muat (TKBM) di Pelabuhan Merauke. Data diolah dengan menggunakan skala Likert dengan teknik analisa linear sederhana menggunakan SPSS. Metode analisis data yang digunakan yaitu analisis regresi sederhana.
Hasil penelitian membuktikan bahwa variabel tingkat upah tidak berpengaruh secara signifikan terhadap kesejahteraan Tenaga Kerja Bongkar Muat di Hasil analisis regresisi menunjukkan nilai coefficient-nya sebesar 0.335 dengan probabilitasnya sebesar 0,328.  Hal ini disebabkan karena pendapatan upah TKBM masih di bawah standar Upah Minimum Regional (UMR) Provinsi Papua yakni Rp. 3.240.900,- per bulan pada tahun 2019. Sedangkan upah tertinggi yang diterima adalah Rp. 3.000.000,- Selain itu, Pola konsumsi TKBM masih sebagian besar pendapatannya untuk pemenuhan  kebutuhan dasar tetapi ada sebagian dari mereka membelanjakan seperti rokok, pinang. Bahkan ada juga sebagian kecil dari mereka yang membelanjakan untuk minuman beralkohol, sebab mereka kekurangan kemampuan mengelola uang mereka.
 
Kata Kunci: Tingkat upah, kesejahteraan
WHAT DETERMINANTS INFLUENCE STUDENTS TO START THEIR BUSINESS? EMPIRICAL EVIDENCE FROM UNIVERSITAS PANCASILA
Authors: Aulia Keiko Hubbansyah  , Hilmiyah Nurul , Derriawan
Published: August 2023

This study aims to identify determinants in influencing students' decision to become entrepreneurs. Seven indicators were employed in order to investigate which determinants that has bigger effect on student’s decision. Those indicators are (1) parents' work, (2) household expenses, (3) entrepreneurial orientation, (4) attitudes towards risk, (5) innovation ability, (6) perceptions of financial difficulties, and (7) university support. 100 students in faculty of economics and business Universitas Pancasila were chosen as samples to be empirically tested using a series of questionnaire’s questions. Logistic regression technique was applied to obtained targeted results. The results revealed that all the seven analyzed variables shown positive and significant effects on students' intention to become entrepreneurs. Moreover, parent's job (POT) is shown as the most influencing determinant followed by Entrepreneurship orientation (OKW) and perception of financial difficulties (PKK). Accordingly, this research contributes practically how to develop student’s intention effectively to become entrepreneur where family and environment factors are the main determinants.
Scanning time-resolved measurement of transient lattice strain on quartz oscillators resonating under alternating electric field
Authors: Aoyagi Shinobu , Kondo Yuhei , Miwa Kazuhira , Takeda Hiroaki , Hayakawa Yusuke , Kaminaga Youichi , Osawa Hitoshi
Published: August 2023

Distributions of transient and local lattice strains on resonating AT-cut quartz oscillators were measured in situ by scanning time-resolved X-ray diffraction under an alternating electric field to reveal the effects of the crystal shape and electrode thickness on their piezoelectric vibration. The concentration of the lattice vibration amplitude and energy at the electrode center in a plano-convex type oscillator and enhancement of the lattice strain in a plano–plano type oscillator within the electrode area with increasing electrode thickness have been unambiguously demonstrated by the method without any surface modifications.
Study on residual OH content in low-temperature Si oxide films after in situ post-deposition heating (PDH)
Authors: Horita Susumu , Pu Di
Published: August 2023

We investigated the post-deposition heating (PDH) effect on OH content in SiOx films deposited by atmospheric-pressure CVD using a deposition source of silicone oil (SO) with O3 and TCE vapor at a temperature T
d of 180 °C–250 °C. The PDH is performed in situ for 5 min in the deposition chamber just after film deposition without any supply of SO, where the heating temperature is the same as T
d. The OH content in the films deposited normally decreases with increasing T
d. In contrast, those with PDH decrease with deceasing T
d from 220 °C, and, at T
d = 190 °C, a minimum OH content can be obtained. This means that lower OH content remains at a lower deposition temperature. The PDH effect on OH reduction can be explained by easily reconstructible structure of SiOx films deposited at low temperature. Furthermore, we discuss the mechanism of the PDH effect from other points of view.
Direct synthesis of nitrogen-doped narrow-diameter carbon nanotubes through floating-catalyst chemical vapor deposition with high hydrogen flow rate
Authors: Li Zhikai , Fujimori Toshihiko , Jeong Samuel , Inoue Hirotaka , Sakai Momoko , Akada Keishi , Ito Yoshikazu , Fujita Jun-ichi
Published: August 2023

The precise control of substitutional nitrogen (N) doping into a carbon nanotube (CNT) lattice is key to tuning their unique one-dimensional electronic properties. Here we report a direct synthesis of high-quality N-doped single-wall CNTs (N-SWCNTs) with ∼1 nm in diameter using a floating-catalyst chemical vapor deposition under a high flow rate of hydrogen as a carrier gas. The high hydrogen flow rate enhances the total N content in the CNT lattice. The N-SWCNTs exhibit an n-type doping behavior induced by enriched graphitic-N as confirmed by Raman analysis. Our finding will be beneficial to tailoring the doping state of N-SWCNTs.
Pelatihan Teknik Effective Public Speaking untuk Meningkatkan Kecakapan Berbicara Dalam Organisasi
Authors: Bunga Asriandhini
Published: August 2023

Effective Public Speaking Technique Training to Improve Speaking Proficiency in Organizations is held to provide solutions for problems within the IKBI organization PT. Nusantara Plantation Unit PG. Pangkah Afdeling Jatibarang as a partner. There were 27 participants who attended the training which was held at the IKBI PG meeting building in Pangkah subdistrict, Slawi Tegal, Central Java. The majority of its members are still constrained in communicating properly in conveying ideas, ideas, arguments both interpersonally and in public. The solution is that participants are first given an understanding by the facilitators in the form of sharing knowledge of Public Speaking techniques. Then the participants and the facilitators practice implementing these techniques, including techniques for preparing material, methods for delivering material, and vocal techniques. As the result, participants experienced an increase in speaking skills. This skill will increase with the experience as a speaker. Evaluation is carried out by comparing skills before the training and after the training takes place by giving questions and discussions. In addition, the facilitators records and assesses participants, understanding of the material and implementation.
Peningkatan Kompetensi Komputerisasi Akuntansi Melaui Aplikasi Zahir Bagi Siswa Akuntansi SMK Triguna 1956 Jakarta Selatan
Authors: Mariani Desy , Suryani  , Farida A Nusantari
Published: August 2023

Pelatihan Zahir Accounting memiliki tujuan untuk pembekalan para siswa dan meningkatkan kompetensi terkait software pengolahan data dan keuangan yang banyak digunakan di berbagai perusahaan yaitu software Zahir Accounting. Kegiatan ini merupakan bentuk Tri Dharma Perguruan Tinggi dengan dosen serta praktisi akuntansi sebagai narasumber sehingga para peserta dapat lansung mempraktikkan software tersebut dengan modul dan pembahasan studi kasus yang sering terjadi pada berbagai skala perusahaan khususnya perusahaan dagang. Hasil yang dicapai yaitu 12% siswa memahami dengan sangat baik dan 85% memahami dengan baik dan dapat menyelesaikan keseluruhan kasus hingga penyajian laporan keuangan dengan sangat baik.
Penyuluhan Mitigasi Bencana pada Masyarakat Pulau Pramuka
Authors: Taqwa Putra Budi Purnomo Sidi  , Justin Bongsoikrama  , Jeremy Putra Pratama
Published: August 2023

Pulau Pramuka adalah salah satu pulau di Kepulauan Seribu, yang terletak di sebelah utara Jakarta, Kepulauan Seribu terdiri dari sekitar 110 pulau, Pulau Pramuka adalah pulau terbesar dan pusat administratif dari wilayah tersebut, pulau Pramuka terletak sekitar 45 kilometer di sebelah utara Jakarta, di Teluk Jakarta. Berdasarkan data dari BMKG, sampai bulan Januari Indonesia menghadapi siaga cuaca yang ekstrim. Melihat kondisi di pulau yang lebih rawan terjadi bencana dibandingkan dengan di darat, dan kesadaran masyarakat yang masih kurang terhadap bahaya bencana yang mengancam, baik ketika pra bencana, maupun tanggap bencana, dan pengetahuan yang masih minim tentang apa yang harus dilakukan ketika pasca bencana.Untuk itu, perlu adanya sebuah pembekalan kepada masyarakat tentang kesiapsiagaan bencana, baik pada tahap pra bencana, tanggap bencana, maupun hal yang harus dilakukan ketika pasca bencana. Pembekalan tersebut bisa dalam bentuk sosialisasi kepada masyarakat umum maupun anak - anak yang duduk di bangku sekolah tentang bagaimana mengenali tanda - tanda terjadinya bencana, dan apa yang harus dilakukan ketika hal itu terjadi, ketika tanggap bencana, dan langkah - langkah yang dapat dilakukan setelah bencana berakhir. Dengan demikian akan terbentuk lapisan masyarakat yang lebih aware terhadap bencana, sehingga mengetahui apa saja yang harus dilakukan ketika bencana datang, sehingga angka kematian yang diakibatkan oleh bencana yang terjadi di pulau dapat menurun. Dari kegiatan penyuluhan mitigasi ini diharapkan bisa mengedukasi masyarakat agar lebih aware terhadap bencana yang terjadi, dan mendapatkan gambaran apa yang dilakukan ketika fase pra bencana, tanggap bencana, maupun pasca bencana, mengingat kondisi Indonesia yang berstatus siaga bencana.

Kata Kunci : Penyuluhan, Mitigasi Bencana, Pulau Pramuka
Self-Refine Learning For Data-Centric Deep Learning
Authors: Guo Tong
Published: August 2023

In industry NLP application, our manually labeled data has a certain number of noise data. We present a simple method to find the noise data and remove them. We select the noise data whose human label is not contained in the top-K model's predictions. The experiment result shows that our method works. For industry deep learning application, our method improve the text classification accuracy from 80.5% to 90.6% in dev dataset, and improve the human-evaluation accuracy from 83.2% to 90.1%.  The self-predict and self-drop method of this paper can not improve the accuracy to more than 95%, without human labeling again for the training dataset. 
Unification of gravitation and electromagnetic force(second portion)
Authors: Zheng shengming Physicist
Published: August 2023

based on the new discovery of moving photon do
create force and a formula of describe this new discovery: Applying this
discovery from the micro world to the macro world, show that from atomic world
to the galaxy world, the nature has been working obeys this law, and their actions can
all be described by this formula. The Coulomb law and Newton law of university
gravitation are only calculation formula in the specific condition status.
Use of AI in construction financing for private customers
Authors: Bodemer Oliver
Published: August 2023

The use of AI has already penetrated some areas of life. By shaping machine learning, it can also be used in the area of construction financing. This includes the factors of advice, the potential of land and building, as well as financial security for lending. Trends in IT are primarily AI and its sub-areas of machine learning and dynamic automation. This paper presents a scenario of how AI can transform and automate the field of construction financing. Corresponding recommendations for action a
Design and Tuning of State Feedback-based Islanding Detection for Distributed Generators
Authors: Maulik Sugoto , John Vinod
Published: August 2023

This paper presents a method for islanding detection of power-electronic interfaced grid-tied distributed energy resources. A dynamic phasor-based modeling approach is used to synthesize a state-space model of the islanded network. This model leads to the formation of a  generalized framework wherein the application of state feedback is designed to destabilize the islanded network. The proposed method can detect islands within one fundamental cycle of operation with passive loads of unity, lagging, and leading power factors. The detection scheme has a zero Non-detection Zone (NDZ), and detection times are within the  criteria suggested in IEEE Std. 1547-2018. 
Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Inverters
Authors: Li Yufei , Liao Yicheng , Chen Minjie , Wang Xiongfei , Nordström Lars , Mittal Prateek , Poor H. Vincent , Zhao Liang
Published: August 2023

The future electric grid is supported by a vast number of smart inverters interfacing with distributed energy resources at the edge. These inverters’ dynamics are typically characterized as impedances, which are crucial for ensuring grid stability and resiliency. However, the physical implementation of these inverters may change significantly from inverters to inverters and may be kept confidential. Existing analytical impedance models require a complete and precise understanding of system parameters. They can hardly capture the complete electrical behaviors when the inverters are performing complex functions. Online impedance measurements for many inverters across multiple operating points are not scalable. To address these issues, we present InvNet, a machine learning framework to systematically evaluate the effectiveness of data-driven methods for modeling inverter impedance patterns across a wide operation range, even with limited impedance data. Leveraging transfer learning, the InvNet can extrapolate from physics-based models to real-world ones and from one inverter to another with very limited data. This framework demonstrates machine  learning as a powerful tool for modeling and analyzing black-box characteristics of grid-tied inverter systems that cannot be accurately described by traditional analytical methods, such as inverters under model predictive control. Comprehensive evaluations were conducted to verify the effectiveness of the InvNet in various scenarios. All data and models were open-sourced.
A Novel Hybrid Deep Learning Model for Detecting Breast Cancer
Authors: Banerjee Avishek , Chakraborty Debasis , Bhattacharyya Basanti , Nath Ira , Dey Debashis , Garg Deepak
Published: August 2023

The breast cancer dataset is downloaded from Kaggle for our investigation. The dataset contains 569 samples, 30 features and two classes : benign and malignant.
Developing a calibration method for heat networks and validating using measured data
Authors: Maldonado Diana , Schönfeldt Patrik , Torio Herena , Witte Francesco , Füting Michael
Published: August 2023

Fourth and fifth generation district heating (DH) systems have emerged as major contributors to decarbonise the heat sector. However, questions arise about the future trajectory of their existing older versions, which operate at relatively high temperatures. The transformation pathways and operation of DH networks require accurate but simple models to enable rapid simulation. This paper proposes a method for modelling a steady-state DH network using an open-source tool (TESPy) that numerically solves the system of equations and provides a high degree of flexibility in topology and parameterisation. Furthermore, a calibration method using 12 hours of measured data is proposed, which considers the aggregated heat conduction as the calibration parameter and solves the optimisation problem by reducing the difference between the simulated and measured temperature. A DH system in southern Germany with a 15 minute time resolution dataset for the months of January to March 2022 was used as a case study to validate both methods. For the uncalibrated model, the mean absolute error of feed temperatures at all consumers varies from 0.03 °C to 2.34 °C. After calibration, TESPy was found to obtain a mean absolute temperature error of 0.02 °C to 0.5 °C, excluding the cases with high data uncertainty. The accuracy of the simulated temperature enhanced significantly after calibration, thus validating the proposed model. Additionally, it was also observed that the simulated system is more accurate at rather high mass flow conditions. 
Somatomotor-Visual Resting State Functional Connectivity Increases After Two Years in the UK Biobank Longitudinal Cohort
Authors: Orlichenko Anton , Su Kuan-Jui , Tian Qing , Shen Hui , Deng Hong-Wen , Wang Yu-Ping
Published: August 2023

The authors would like to acknowledge the UK Biobank (application ID 61915) for the gathering and curation of a large and important dataset accessible to researchers the world over, as well as the curators of the ADNI dataset for their work on neurodegenerative diseases.
Deep-Reinforcement Learning for Trajectory Design of Multiple UAV-aided Access Points in Presence of Mobile Users
Authors: Agarwal Nipun
Published: August 2023

Next generation communication networks promise seamless connectivity. This mandates high user coverage. Determining optimal access point locations is essential to maximize the total user coverage. However, users are mobile in real-time. Deployment of unmanned aerial vehicle access points (UAPs) has been proposed to improve the coverage. However, the onboard battery in UAPs pose energy limitations. This paper derives the UAP trajectory with optimal energy planning using a deep reinforcement learning approach.
Federated Multi-Agent Deep Reinforcement Learning for Intelligent IoT Wireless Communications
Authors: De Oliveira Hugo , Kaneko Megumi , Boukhatem Lila
Published: August 2023

Federated Multi-Agent Deep Reinforcement Learning (F-MADRL) is gathering keen research interests, as it may offer efficient solutions towards meeting the extreme requirements of future wireless communication networks. By contrast to centralized Deep Reinforcement Learning (DRL) and Multi- Agent DRL (MADRL), F-MADRL enables edge devices to cooperate without sharing their private data, while reducing the delays and signaling costs inherent to centralized approaches. In this article, we explore the new opportunities brought by F-MADRL by conducting a holistic survey of its related recent works. Firstly, we categorize state-of-the-art F-MADRL approaches, based on some distinctive features such as aggregation frequency, signaling overhead and privacy level. To better illustrate the behavior and advantages of F-MADRL, it is numerically compared to its fully centralized and distributed independent DRL counterparts, through a Sub-6GHz/mmWave band association optimization problem for Internet of Things (IoT) wireless communications. Finally, we identify and discuss the open research directions and challenges, in order to spur further interest in this promising area.
Building Trust in Conversational AI: A Comprehensive Review and Solution Architecture for Explainable, Privacy-Aware Systems using LLMs and Knowledge Graph
Authors: Zafar Ahtsham , Parthasarathy Venkatesh Balavadhani , Van Chan Le , Shahid Saad , Khan Aafaq Iqbal , Shahid Arsalan
Published: August 2023

Conversational AI systems have emerged as key enablers of human-like interactions across diverse sectors. Nevertheless, the balance between linguistic nuance and factual accuracy has proven elusive. In this paper, we first introduce LLMXplorer, a comprehensive tool that provides an in-depth review of over 150 Large Language Models (LLMs), elucidating their myriad implications ranging from social and ethical to regulatory, as well as their applicability across industries. Building on this foundation, we propose a novel functional architecture that seamlessly integrates the structured dynamics of Knowledge Graphs with the linguistic capabilities of LLMs. Validated using real-world AI news data, our architecture adeptly blends linguistic sophistication with factual rigour and further strengthens data security through Role-Based Access Control. This research provides insights into the evolving landscape of conversational AI, emphasizing the imperative for systems that are efficient, transparent, and trustworthy.
Optimized Distance Visual Acuity Measurements: The SkyLED Lighting Solution Novelty
Authors: Giang Duong
Published: August 2023

The paper introduces the SkyLED lighting solution, specifically designed to optimize distance visual acuity (VA) measurements: 1) highlights the importance of controlling both central and peripheral luminance for precise VA results; 2) offers valuable insights to the fields of lighting design and visual acuity assessment, contributing to a better understanding of the influence of lighting conditions on VA scores. 
Bridging the Gap Between Indoor Depth Completion and Masked Autoencoders
Authors: Yang Zhou , Sun Kailai , Zhao Qianchuan
Published: August 2023

Depth images have a wide range of applications, such as 3D reconstruction, autonomous driving, augmented reality, robot navigation, and scene understanding. Commodity-grade depth cameras are hard to sense depth for bright, glossy, transparent, and distant surfaces. Although existing depth completion methods have achieved remarkable progress, their performance is limited when applied to complex indoor scenarios. Moreover, the expectations of Transformer are high for the depth completion task. To address these problems, we propose a two-step Transformer-based network for indoor depth completion. Unlike existing depth completion approaches, we adopt an MAE-based self-supervision pre-training encoder to learn an effective latent representation for the missing depth value; then we propose a decoder based on a token fusion mechanism to complete (i.e., reconstruct) the full depth from the jointly RGB and incomplete depth image. Compared to the existing methods, our proposed network, achieves the state-of-the-art performance on the Matterport3D dataset. In addition, to validate the importance of the depth completion task, we apply our methods to indoor 3D reconstruction. The code, dataset, and demo are available at https://github.com/kailaisun/Indoor-Depth-Completion.
Impact of Loads on Synchronization Stability of Grid-Tied Inverters using Dynamic Phasors
Authors: Maulik Sugoto
Published: August 2023

The integration of renewable energy resources is a prevailing trend in modern power systems. Wind and solar energy are key among these renewables, linked to the grid via power electronic converters. These converters require precise synchronization of their output with the grid, achieved through a phase-locked loop (PLL). The PLL’s ability to accurately track the grid voltage phase directly impacts synchronization stability. Moreover, stability relies on the converter’s controller, loads, and grid stiffness. The inclusion of these cross-linked dynamics culminates in a complex analytical model. However, commonly used reduced-order models often omit load dynamics, limiting the obtained insights. Addressing these limitations, this paper introduces a comprehensive method to model a 3- phase grid-tied inverter with an SRF-PLL and local loads, utilizing dynamic phasors. The approach evaluates the impact of system parameters, especially load configuration, on synchronization stability via eigenvalue analysis of the linearized state-space model. This model is apt for investigating weak grids and islanded distributed generation (DG) with diverse local loads. The model showcases stability boundaries, aiding the design of robust renewable energy systems.

 
Blockchain Enterprise Architecture: Monolith or Microservices in the Financial Industries
Authors: Bodemer Oliver
Published: August 2023

As blockchain technology gains prominence in the financial sector, the architectural frameworks guiding its integration play a crucial role in determining operational efficacy. This research delves into the architectural juxtaposition of monolithic versus microservices approaches, specifically within the context of blockchain applications tailored for financial enterprises. By analyzing the distinct attributes of these architectures, the study sheds light on their practical advantages and challenges, especially concerning scalability, security, transactional integrity, and seamless integration with existing financial systems. Drawing from real-world blockchain implementations in banking, trading, and insurance, the research provides actionable insights into the architectural intricacies that dictate system robustness, adaptability, and long-term viability. The ultimate goal of this exploration is to furnish financial institutions with pragmatic guidance, facilitating architectural decisions that resonate with their immediate operational needs and strategic aspirations. 
Influence of the Self-Interference Channel Model on the Performance of a Full-Duplex MIMO System
Authors: Chen Xuan , Savaux Vincent , Savelli Patrick
Published: August 2023

In this paper, we study the behavior of a multiple-input multiple-output (MIMO) full-duplex (FD) system according to two different models of the self-interference (SI) channel  inherent to the FD communication strategy: the spherical wave model (SWM) and the planar wave model (PWM). More precisely, we evaluate the received SI power at the receiver antenna array by changing the relative geometrical position of the transmitter antenna array in respect to the latter. Our study shows a significant difference between the two models. In particular we theoretically show as well as through simulation that the SWM for the SI channel is more precise than the PWM, and should then be considered for practical applications of the FD concept.
On the Double Descent effect in Federated Learning
Authors: Rakovic Valentin , Pejoski Slavche , Hadzi-Velkov Zoran , Denkovski Daniel
Published: August 2023

This paper investigates the occurrence of the double descent phenomenon within the domain of federated learning. It derives a closed-form solution to calculate the mean excess risk in the coefficients of a linear regression model, with the theoretical findings verified through simulations. The results confirm the presence of the double descent effect in the case of federated learning. This effect is especially pronounced in a heterogeneous scenario where local datasets of collaborating users have different sizes and properties. Furthermore, the results unveil unexpected and non-trivial performance behaviors. Interestingly, federated learning even outperforms centralized learning in particular scenarios when the expected excess risk of the former is lower than that of the latter. Finally, our analysis reveals that the typically used random user selection in federated learning exhibits asymptotically lower performance in contrast to the case of excluding only a single carefully chosen user from the learning process.
On a conjecture for the algebraic transfer in generic families of internal degrees
Authors: Võ Phúc Đặng
Published: August 2023

Let $\mathbb F_2$ denote the binary field. Write $\mathscr A$ for the Steenrod ring over $\mathbb F_2.$ In this paper, we study Singer's conjecture \cite{Singer} for the algebraic transfers of ranks 5 and 6 in the generic families of internal degrees. The Singer algebraic transfer stands as a valuable instrument for unraveling the intricate structure of the  cohomology ${\rm Ext}_{\mathscr A}^{s,k} := {\rm Ext}_{\mathscr A}^{s}(\mathbb F_2, \Sigma^{k}\mathbb F_2)$ of the (mod-2) Steenrod ring. Remarkably, we have shown that the indecomposable element $y\in {\rm Ext}_{\mathscr A}^{6,44}$ is not in the image of the sixth algebraic transfer. 
Optimum Port Impedance Of Two-Port System and Its Application to Transmission Line Theory
Authors: Sinha Rakesh
Published: August 2023

This brief proposes the concept of an optimum port impedance of a two-port network. The optimum port impedance of a two-port network is defined in terms of the ABCD parameters of the network. The optimum port impedance is obtained by considering both the source and load sides' conjugate matching holds. It has been shown that a lossless reciprocal network has an infinite set of port impedance. In contrast, a lossy network has a unique set of port impedances. It has been shown that if both ports of a two-port network are matched, maximum power can be transferred through the network. A closed-form expression of the port impedance of the lossy transmission line is given.
Continual Egocentric Activity Recognition via Foreseeable-Generalized Multi-Modal Representations
Authors: He Chiyuan , Cheng Shaoxu , Qiu Zihuan , Xu Linfeng , Meng Fanman , Wu Qingbo , Li Hongliang
Published: August 2023

The rapid development of wearable sensors promotes convenient data collection in human daily life. Human Activity Recognition (HAR), as a prominent research direction for wearable applications, has made remarkable progress in recent years. However, existing efforts mostly focus on improving recognition accuracy, paying limited attention to the model's functional scalability, specifically its ability for continual learning. This limitation greatly restricts its application in open-world scenarios. Moreover, due to storage and privacy concerns, it is often impractical to retain the activity data of different users for subsequent tasks, especially egocentric visual information. Furthermore, the imbalance between visual-based and inertial-measurement-unit (IMU) sensing modality introduces challenges of lack of generalization when employing conventional continual learning techniques. In this paper, we propose a motivational learning scheme to address the limited generalization caused by the modal imbalance, enabling foreseeable generalization in a visual-IMU multimodal network. To overcome forgetting, we introduce a robust representation estimation technique and a pseudo-representation generation strategy for continual learning. Experimental results on the egocentric multimodal activity dataset UESTC-MMEA-CL demonstrate the effectiveness of our proposed method. Furthermore, our method effectively leverages the generalization capabilities of IMU-based modal representations, outperforming general and state-of-the-art continual learning methods in various task settings.
Il tempo del diaspro. La litosfera di Luigi Meneghello
Authors: Salvadori Diego
Published: August 2023

In Luigi Meneghello’s work, literary representations of the mineral world play a deconstructive role, in that they authorize unprecedented and transversal readings aimed at unlocking the writer’s material and scientific imagery. Meneghello quite literally seems to have ‘stratified’ his creative work through using this imagery, from the lithogenesis of writing to the semantics of the crystal, petrifying reveries, and the effusive magma of language. The líthos is used as a ‘probe’, a hermeneutic sounding device through which to investigate cultural systems, the sedimentation of collective memory, and the role of writing itself, and it functions as a privileged access key to the author’s poetics.
PERAN TOLU SAHUNDULAN LIMA SAODORAN DALAM UPACARA MANGGALAR ADAT MARHAJABUAN PADA ETNIK SIMALUNGUN : KAJIAN TRADISI LISAN
Authors: Situngkir Risdayanti , Herlina Herlina
Published: August 2023

Karya ilmiah ini berjudul Peran Tolu Sahundulan Lima Saodoran Dalam Pelaksanaan Upacara Manggalar Adat Marhajabuan Pada Etnik Simalungun Kajian : Tradisi Lisan. Tujuan dilakukannya upacara manggalar adat adalah untuk menyelesaikan adat yang tertunda. Penelitian ini menggunakan kajian tradisi lisan membahas mengenai peran tolu sahudulan lima saodoran terhadap pelaksanaan manggalar adat marhajabuan dalam masyarakat Simalungun. Penelitian ini membahas mengenai falsafah adat tolu sahundulan lima saodoran dalam etnik Simalungun, membahas mengenai tahapan dan peran tolu sahundulan lima saodoran terhadap pelaksanaan manggalar adat marhajabuan dalam masyarakat Simalungun. Landasan teori yang digunakan dalam menganalisis masalah ini adalah teori tradisi lisan yang dikemukakan oleh Neumen (dalam Sugiyono, 2017:52) dengan menggunakan penelitian kualitatif bersifat deskriptif. Berdasarkan analisis data yang dilakukan, diperoleh kesimpulan bahwa tradisi manggalar adat dilakukan jika terdapat sepasang suami istri yang melakukan pernikahan disebabkan oleh hal-hal yang memaksakan mereka untuk melakukan upacara pernikahan tanpa adat istiadat. Manggalar adat dilakukan agar seseorang mendapat kebebasan dalam melakukan aktivitas adat istiadat.
TRADISI PASAHAT INDAHAN NASINAOR PADA ETNIK BATAK TOBA DI DESA KELURAHAN PARGARUTAN, KECAMATAN SORKAM, KABUPATEN TAPANULI TENGAH KAJIAN: TRADISI LISAN
Authors: Pera Situmeang Juliana , Siahaan Jamorlan
Published: August 2023

Secara umum  kata “pasahat” adalah “ memberikan” dan kata “Indahan”  yaitu “Nasi/ Makanan”. Dan kata “Nasinaor” merupakan kata yang dapat dikutip dari kata “Parsaoran/marsaor” yang dapat diartikan dengan kata pergaulan yang memiliki rasa persaudaran yang tinggi. Sehingga dapat diartikan bahwa tradisi adat indahan nasinaor ini merupakan acara adat yang bertujuan untuk menjalin rasa persaudaraan supaya semakin kompak satu sama lain. Tradisi lisan merupakan kegiatan budaya tradisional suatu kumpulan komunitas yang diwariskan secara turun temurun dari media lisan dari satu individu ke individu lain dari susunan kata lisan (verbal) maupun tradisi tardisi lain yang bukan lisan. Adapun tujuan dari skripsi ini adalah untuk mendiskipsikan tahapan-tahapan yang dilakukan dalap proses adat indahan nasinaor, mendeskripsikan fungsi kegitan adat indahan nasinaor, mendeskripsikan nilai-nilai tradisi lisan pada setiap tahapan adat indahan nasinaor. Teori yang digunakan  teori Tradisi Lisan yang dikemukakan Oleh Robert Sibarani. Dalam skripsi ini menggunakan metode deskriptif. Hasil yang didapat dalam skripsi ini terdapat delapan tahapan adat indahan nasinaor, fungsi acara adat indahan nasinaor, dan sembilan nilai-nilai tradisi lisan dalam setiap tahapan adat indahan nasinaor
Validation of the regret coping scale for healthcare professionals (RCS-HCP) in portuguese for Brazil
Authors: Neves Smiderle Fabiana Rosa , Maris de Jezus Castro Stela , Sophie Courvoisier Delphine , Mattiello Rita
Published: August 2023

Introduction: the assessment of the ability to cope with regret can contribute to support strategies for health professionals. However, in Brazil there are few instruments that evaluate this ability in the general context.
Objective: the aim of the study was to adapt and validate the Regret Coping Scale for Healthcare Professionals (RCS-HCP) for Brazilian health professionals.
Methods: in the validation, the instruments were translated, and the psychometric properties evaluated for validity and reliability. Three hundred and forty-one professionals participated, with an average age of 38.6 ± 9.2, and 87 participated in a retest survey 30 days later.
Results: exploratory factor analysis showed adequacy of the structure (KMO = 0.786) composed of three factors. In the confirmation, the performance was close to acceptable. Reliability was good for the maladaptive strategies (α = 0.834) and adequate for the problem-focused strategies (α = 0.717), but slightly too low for adaptive strategies (α = 0.595). Test-retest showed lower than expected values, with a Spearman-Brown coefficient of 0.703.
Conclusion: the RCS-HCP scale showed satisfactory performance in relation to the properties evaluated.
Clinical-epidemiological characterization of patients submitted to hemodialysis according to the national kidney foundation, the kidney disease outcomes quality initiative – KDOQI in a hemodialysis reference center in the metropolitan region of São Paulo, Brazil
Authors: Oliveira Cardelino Bruno , Scabora Rodrigo , Oliveira e Silva Thiago , Antônio Corrêa João
Published: August 2023

Introduction: hemodialysis is a treatment that helps in the survival of patients with renal failure, through an established cardiopulmonary bypass to carry out blood filtration, as a result, there is a need for a feasible, lasting and effective vascular access. There are two types of vascular access, arteriovenous fistulas, using autogenous veins or prostheses, and venous catheters. The indications for choosing the type of vascular access are related to the characteristics and restriction of use of each patient.
Objective: to analyze the epidemiological, demographic and clinical profile of patients undergoing hemodialysis in two reference services in the metropolitan region of São Paulo, Brazil, and compare the clinical-surgical processes with those defined by the Kidney Guidelines disease Outcomes Quality Initiative (KDOQI).
Methods: data were collected in two public hospitals, with patients undergoing hemodialysis, through registration forms and medical records, from August to December 2016. The volunteers were informed about the procedures and objectives of the study and, after agreeing, they signed a consent form. The variables age, gender, weight, height, body mass index, hemodialysis time, types of accesses already used , complications related to the accesses and underlying disease were analyzed. Patients with chronic renal failure undergoing hemodialysis of both genders, with no age restriction, were included. Patients not able to perform one of the techniques, arteriovenous fistula or catheter, were excluded . The collected data were compared with the Kidney guidelines disease Outcomes Quality Initiative (KDOQI).
Results: a total of 252 individuals were included, of which 182 are patients undergoing reference hospital treatment in the city of São Bernardo do Campo, SP and 70 patients at the State University Hospital Mário Covas, a State reference in the clinical management of patients undergoing hemodialysis care.
Conclusion: chronic kidney disease is highly prevalent with progression to end-stage chronic kidney failure (dialysis). The definition of the epidemiological profile of the population undergoing treatment, as well as the journey of venous accesses for hemodialysis (catheters and fistulas), are fundamental for the multidisciplinary team’s learning curve about complications throughout the course of the disease/treatment. Furthermore, the clinical-surgical management of this population is in line with the guidelines of the National Kidney Foundation. The treatment performed in these hemodialysis centers is efficient and in line with what the KDOQI recommends.
Zooplanktons and Their Seasonal Variations of Kufa River /Euphrates
Authors: Al-Ameen Ferial , Al-Haidarey Mohammed , Albushabaa Suhad
Published: August 2023

Four sites  were selected in Kufa River  for Zooplankton sampling, the sampling was monthly (November 2011 – December 2012), samples were taken by zooplankton net (50 cm in diameter). The net was pulled at medium speed in each sample at the volume of water which passed through the net was estimated to be 0.24 m3.         Ninety nine taxa of forty six genera belonging to three groups of zooplankton were identified, the Rotifera was the predominant group among the zooplankton, which comprised (41 %) included 13families and 56 taxa, then Cladocera (36%) included 6families and 33taxa, finally Copepoda (23%) included 4families and 10taxa, some biodiversity indexes were calculated too.
Hot Aqueous of Matricaria chamomilla Extract Modulate Nephritic Toxicity Induced By Methomyl In Male Mice
Authors: H.Ajeena Ezzate
Published: August 2023

This projects was planning to evaluate the effects  of oral administration of  hot aqueous extract of (Matricaria chamomillaplant) on the chemical parameters of the kidney in  male mice treated with different dose of metomil (methomyl insecticide). Eighteen mice was parting into 6 groups of 3 animals in  every one. The study was performed for 28 days and the alterations of the parameters were measured any changings in the weight of kidney , urea and creatninin concentration. The study was revealed a significant increasing in the kidneys weight, levels of serum urea and creatinin of mice treated with methomyl only when compared with control. The results also show the increasing recorded above began to decrease gradually after the mice treated with hot aqueous extract of chamomile with (5 and 7mg/kg b.w) concentrations . This result draw attention to the ability of chamomile extract to modulate the toxic effects of methomyl on kidney.
Synthesis and Characterization of Heterocyclic Derivatives Containing Five membraned rings from 2-mercapto-5-methyl-oxadiazole
Authors: Sadiq M. Eidy  , Mohammed R. Ahamad
Published: August 2023

The present work included the synthesis of some new Schiff base derivatives of hydrazine hydrate coupled with ethyl-5-phenyl-2-(1,3,4-oxadiazole thiol) acetate, this role reacted with mercapto-acetic acid to synthesize five-membered ring heterocyclic compound derivatives. The yields of all synthesized compounds were good. All compounds were confirmed by their melting point, FT-IR spectra, and 1HNMR  spectra for some of them.