bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality Characteristics of Karst Plateau Tea (Niaowang) in Southwest China and Their Relationship with Trace Elements
Authors: Jiang Yongcheng , Zhang Zhenming , Zhang Jiachun
Published: June 2023

This study investigated the relationship between the characteristics of quality components and trace elements of Niaowang tea from Guizhou Province in mountainous plateau areas. The contents of catechin monomers and eight other trace elements were measured using high-performance liquid chromatography (HPLC) and inductively coupled plasma mass spectrometry (ICP-MS), respectively. The results showed that the tender summer leaves of Niaowang tea in Guizhou Province had the highest content of catechins at 3558.15~2226.52 μg·g−1. The content of ester catechins was the highest in summer, amounting to 69.75~72.42% of the total catechins. The content of non-ester catechins was the highest in autumn, reaching 52.54~62.28% of the total catechins; among ester catechins, the mass fraction of epigallocatechin gallate (EGCG) showed a pattern of mature summer leaves > tender summer leaves > mature autumn leaves > tender autumn leaves, and the mass fractions of gallocatechin gallate (GCG) and epicatechin gallate (ECG) were larger in autumn than in summer; gallocatechin (GC) had no significant correlation with different trace elements, and Mn had no significant correlations with different catechin monomers. EGCG was significantly negatively correlated with As, Se, Hg, Pb, Ni, and Zn. Additionally, gallic acid (GA) was significantly negatively correlated with As, Hg and Ni. Other catechin monomers were largely significantly positively correlated with trace elements. The biochemical indicators of the phenotype of Niaowang tea show that the summer and autumn buds are suited for making high-quality green tea.
Recent Population Dynamics of Japanese Encephalitis Virus
Authors: Xu Jinpeng , Wahaab Abdul , Khan Sawar , Nawaz Mohsin , Anwar Muhammad Naveed , Liu Ke , Wei Jianchao , Hameed Muddassar , Ma Zhiyong
Published: June 2023

Japanese encephalitis virus (JEV) causes acute viral encephalitis in humans and reproductive disorders in pigs. JEV emerged during the 1870s in Japan, and since that time, JEV has been transmitted exclusively throughout Asia, according to known reporting and sequencing records. A recent JEV outbreak occurred in Australia, affecting commercial piggeries across different temperate southern Australian states, and causing confirmed infections in humans. A total of 47 human cases and 7 deaths were reported. The recent evolving situation of JEV needs to be reported due to its continuous circulation in endemic regions and spread to non-endemics areas. Here, we reconstructed the phylogeny and population dynamics of JEV using recent JEV isolates for the future perception of disease spread. Phylogenetic analysis shows the most recent common ancestor occurred about 2993 years ago (YA) (95% Highest posterior density (HPD), 2433 to 3569). Our results of the Bayesian skyline plot (BSP) demonstrates that JEV demography lacks fluctuations for the last two decades, but it shows that JEV genetic diversity has increased during the last ten years. This indicates the potential JEV replication in the reservoir host, which is helping it to maintain its genetic diversity and to continue its dispersal into non-endemic areas. The continuous spread in Asia and recent detection from Australia further support these findings. Therefore, an enhanced surveillance system is needed along with precautionary measures such as regular vaccination and mosquito control to avoid future JEV outbreaks.
A Narrative Review of Alternative Symptomatic Treatments for Herpes Simplex Virus
Authors: Chang Jane Y. , Balch Curt , Puccio Joseph , Oh Hyung S.
Published: June 2023

Herpes simplex virus-1 (HSV-1) and -2 (HSV-2) are large, spherically shaped, double-stranded DNA viruses that coevolved with Homo sapiens for over 300,000 years, having developed numerous immunoevasive mechanisms to survive the lifetime of their human host. Although in the continued absence of an acceptable prophylactic and therapeutic vaccine, approved pharmacologics (e.g., nucleoside analogs) hold benefit against viral outbreaks, while resistance and toxicity limit their universal application. Against these shortcomings, there is a long history of proven and unproven home remedies. With the breadth of purported alternative therapies, patients are exposed to risk of harm without proper information. Here, we examined the shortcomings of the current gold standard HSV therapy, acyclovir, and described several natural products that demonstrated promise in controlling HSV infection, including lemon balm, lysine, propolis, vitamin E, and zinc, while arginine, cannabis, and many other recreational drugs are detrimental. Based on this literature, we offered recommendations regarding the use of such natural products and their further investigation.
Enhancement of SARS-CoV-2 N Antigen-Specific T Cell Functionality by Modulating the Autophagy-Mediated Signal Pathway in Mice
Authors: Wen Ziyu , Yuan Yue , Zhao Yangguo , Wang Haohang , Han Zirong , Li Minchao , Yuan Jianhui , Sun Caijun
Published: June 2023

The frequent SARS-CoV-2 variants have caused a continual challenge, weakening the effectiveness of current vaccines, and thus it is of great importance to induce robust and conserved T cellular immunity for developing the next-generation vaccine against SARS-CoV-2 variants. In this study, we proposed a conception of enhancing the SARS-CoV-2 specific T cell functionality by fusing autophagosome-associated LC3b protein to the nucleocapsid (N) (N-LC3b). When compared to N protein alone, the N-LC3b protein was more effectively targeted to the autophagosome/lysosome/MHC II compartment signal pathway and thus elicited stronger CD4+ and CD8+ T cell immune responses in mice. Importantly, the frequency of N-specific polyfunctional CD4+ and CD8+ T cells, which can simultaneously secrete multiple cytokines (IFN-γ+/IL-2+/TNF-α+), in the N-LC3b group was significantly higher than that in the N alone group. Moreover, there was a significantly improved T cell proliferation, especially for CD8+ T cells in the N-LC3b group. In addition, the N-LC3b also induced a robust humoral immune response, characterized by the Th1-biased IgG2a subclass antibodies against the SARS-CoV-2 N protein. Overall, these findings demonstrated that our strategy could effectively induce a potential SARS-CoV-2 specific T cellular immunity with enhanced magnitude, polyfunctionality, and proliferation, and thus provided insights to develop a promising strategy for the design of a novel universal vaccine against SARS-CoV-2 variants and other emerging infectious diseases.
First Seroprevalence Survey of Avian Reovirus in Broiler Breeders Chicken Flocks in Morocco
Authors: Achhal Elkadmiri Ahmed , Zhari Amal , Aitlaydi Noura , Bouslikhane Mohammed , Fagrach Asma , Mouahid Mohamed , Fellahi Siham
Published: June 2023

Avian reovirus (ARV) is a prevalent infectious agent that has the potential to cause respiratory and gastrointestinal illnesses in poultry, leading to substantial financial losses in the poultry sector. Until now, there have been no investigations conducted to examine the epidemiological status of ARV infections in Morocco. The aim of this study was to investigate the seroprevalence of ARV infections with respect to area, types of chickens (broiler breeder, and broiler), vaccination status, and age of chickens. A total of 826 serum samples were collected from 36 broiler and broiler breeder flocks, with 14 of them being unvaccinated, fromsix different regions of Morocco, namely Casablanca-Settat, Rabat-Salé-Kénitra, Tanger-Tétouan-Al Hoceïma, Oriental, Marrakech-Safi, and Fez-Meknès between 2021 and 2022.These serum samples were screened using a commercial indirect ELISA ARV antibody test kit (IDEXX REO). The study found that all tested flocks were positive for ARV-specific antibodies, indicating that the virus was present in these flocks. Out of the 826 serum samples tested, 782 were positive for ARV-specific antibodies. The overall prevalence of ARV infections in breeder and broiler flocks was calculated to be 94.6% ± 0.78. To summarize, the current study provides evidence of the widespread distribution of ARV infections in Morocco, suggesting that the poultry industry in the country is highly infected with ARV.
Interpreting Mine Water Sources and Determining Mixing Ratios Based on the Spatial and Chemical Characteristics of Bedrock Brines in a Coastal Mine
Authors: Song Yewei , Guo Jie , Ma Fengshan , Liu Jia , Li Guang
Published: June 2023

Water inrush caused by mining below the seafloor seriously affects the safety and production of mines. Identifying the end element of mine inrush and accurately calculating the mixing ratios of end elements are the basis for a reasonable evaluation of water inrush risk. Based on hydrogeochemical and stable isotope indexes, combined with the spatial distribution characteristics of brine, the classification of brine in the study area was preliminarily determined as follows: shallow brine, middle brine, and deep brine (while previous studies have only classified bedrock brine as one category). Hierarchical multi-index analysis was used to identify the inrush end elements in the different sublevels, and an end-element mixed model was determined according to the analysis results of the four pairs of evaluation indexes (Cl−–δ18 O, Cl−–Ca2+, Cl−–Mg2+, and Cl−–Na+). Through a comparison with the deviation analysis results of previous studies, it was shown that this method is suitable for mine-water-source identification when under complex hydrogeology conditions. According to the calculation results of the mixing ratio, the seawater ratio shows, within the mining process, a trend of first increasing, then decreasing, and finally stabilizing. This trend is controlled by disturbance stress, self-weight stress, and tectonic stress. The vertical zonation of the seawater proportions indicates that seawater mainly recharges mine water through vertical fractures. The difference in the proportion of seawater at the water inrush points of the −600 m sublevels indicates that the F3 fault and the northwest water-conducting fracture zone may be the preferred flow channels for seawater to recharge mine water. The research results are of great significance to promote the safe mining of coastal mines around the world.
Gaussian Process Regression and Cooperation Search Algorithm for Forecasting Nonstationary Runoff Time Series
Authors: Wang Sen , Gong Jintai , Gao Haoyu , Liu Wenjie , Feng Zhongkai
Published: June 2023

In the hydrology field, hydrological forecasting is regarded as one of the most challenging engineering tasks, as runoff has significant spatial–temporal variability under the influences of multiple physical factors from both climate events and human activities. As a well-known artificial intelligence tool, Gaussian process regression (GPR) possesses satisfying generalization performance but often suffers from local convergence and sensitivity to initial conditions in practice. To enhance its performance, this paper investigates the effectiveness of a hybrid GPR and cooperation search algorithm (CSA) model for forecasting nonstationary hydrological data series. The CSA approach avoids the premature convergence defect in GPR by effectively determining suitable parameter combinations in the problem space. Several traditional machine learning models are established to evaluate the validity of the proposed GPR-CSA method in three real-world hydrological stations of China. In the modeling process, statistical characteristics and expert knowledge are used to select input variables from the observed runoff data at previous periods. Different experimental results show that the developed GPR-CSA model can accurately predict nonlinear runoff and outperforms the developed traditional models in terms of various statistical indicators. Hence, a CSA-trained GPR model can provide satisfying training efficiency and robust simulation performance for runoff forecasting.
Association of Flood Risk Patterns with Waterborne Bacterial Diseases in Malaysia
Authors: Shafii Nur Zahidah , Saudi Ahmad Shakir Mohd , Pang Jyh Chyang , Abu Izuddin Fahmy , Sapawe Norzahir , Kamarudin Mohd Khairul Amri , Mohamad Mohamad Haiqal Nizar
Published: June 2023

Flood risk has increased distressingly, and the incidence of waterborne diseases, such as diarrhoeal diseases from bacteria, has been reported to be high in flood-prone areas. This study aimed to evaluate the flood risk patterns and the plausible application of flow cytometry (FCM) as a method of assessment to understand the relationship between flooding and waterborne diseases in Malaysia. Thirty years of secondary hydrological data were analysed using chemometrics to determine the flood risk patterns. Water samples collected at Kuantan River were analysed using FCM for bacterial detection and live/dead discrimination. The water level variable had the strongest factor loading (0.98) and was selected for the Flood Risk Index (FRI) model, which revealed that 29.23% of the plotted data were high-risk, and 70.77% were moderate-risk. The viability pattern of live bacterial cells was more prominent during the monsoon season compared to the non-monsoon season. The live bacterial population concentration was significantly higher in the midstream (p < 0.05) during the monsoon season (p < 0.01). The flood risk patterns were successfully established based on the water level control limit. The viability of waterborne bacteria associated with the monsoon season was precisely determined using FCM. Effective flood risk management is mandatory to prevent outbreaks of waterborne diseases.
Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses
Authors: Zhao Dengfeng , Li Haiyang , Zhou Fang , Zhong Yudong , Zhang Guosheng , Liu Zhaohui , Hou Junjian
Published: June 2023

Battery states are very important for the safe and reliable use of new energy vehicles. The estimation of power battery states has become a research hotspot in the development of electric buses and transportation safety management. This paper summarizes the basic workflow of battery states estimation tasks, compares, and analyzes the advantages and disadvantages of three types of data sources for battery states estimation, summarizes the characteristics and research progress of the three main models used for estimating power battery states such as machine learning models, deep learning models, and hybrid models, and prospects the development trend of estimation methods. It can be concluded that there are many data sources used for battery states estimation, and the onboard sensor data under natural driving conditions has the characteristics of objectivity and authenticity, making it the main data source for accurate power battery states estimation; Artificial neural network promotes the rapid development of deep learning methods, and deep learning models are increasingly applied in power battery states estimation, demonstrating advantages in accuracy and robustness; Hybrid models estimate the states of power batteries more accurately and reliably by comprehensively utilizing the characteristics of different types of models, which is an important development trend of battery states estimation methods. Higher accuracy, real-time performance, and robustness are the development goals of power battery states estimation methods.
Implementasi Perencanaan Partisipatif Pembangunan Masyarakat Desa Piriang Tapiko Kecamatan Tutar Kabupaten Polewali Mandar
Authors: Bahtiar Ongki , Hannan Mukhlis , Asis Abd
Published: June 2023

Dalam merealisasikan tujuan pembangunan maka segenap potensi dari alam harus digali, dikembangkan, dan dimanfaatkan sebaik-baik begitu pula dengan potensi manusia berupa penduduk yang banyak jumlahnya harus ditingkatkan pengetahuan dari keterampilannya sehingga mampu menggali, mengembangkan, dan memanfaatkan potensi alam secara maksimal dan pelaksanaan program pembangunan tercapai. Partisipasi adalah hal mengikutsertakan semua orang suatu kegiatan merupakan aktivitas dalam organisasinya untuk mencapai tujuan yang mereka inginkan. Metode peneliti yang dilakukan adalah jenis penelitian deskriptif yaitu metode penelitian yang bertujuan untuk memberikan gambaran secara sistematis, faktual dan akurat mengenai data yang ada di lapangan tentang partisipasi masyarakat dalam proses perencanaan pembangunan di desa piriang tapiko kecamatan Tutar Kabupaten Polewali Mandar. Pendekatan yang dilakukan adalah pendekatan kualitatif yaitu metode yang menggunakan simpel, yakni melakukan observasi dan wawancara langsung dengan informan pada prinsip pembangunan dilaksanakan oleh masyarakat Desa Piriang Tapiko hanyalah untuk masyarakat desa itu sendiri dalam memenuhi kebutuhan hidup masyarakat desa. Dengan demikian maka dalam proses proses partisipasi desa itu sendiri yang dipergunakan untuk masyarakat umum atau lebih khususnya masyarakat desa Piriang Tapiko itu sendiri.
Persepsi masyarakat terhadap zakat pertanian ( studi kasus kasus pada petani di Desa campurjo)
Authors: Mustikawati Farhana , Irwan Muhammad , Kaco Suardi
Published: June 2023

Penelitian ini membahas tentang Persepsi masyarakat terhadap zakat pertanian (studi kasus pada petani petani padi di desa campurjo) maka ada dua permasalahan yang menjadi kajian pokok dalam penelitian ini. Pertama bagaimana persepsi masyarakat zakat pertanian di desa campurjo dan bagaiamana penerapan zakat pertanian di desa campurjo. Penelitian ini menggunakan metode pendekatan field research yaitu penelitian yang sumber data serta pokok pengamatannya digali melalui sumber data yang berada dilapangan. Selain itu, alat yang dipakai dalam pengumpulan data adalah dengan menggunakan metode dokumentasi, wawancara dengan pedoman interview sehingga penulis lebih mudah dalam mengumpulkan serta menyusun skripsi ini.Hasil penelitian ini menujukkan bahwa persepsi masyarakat terhadap zakat pertanian yaitu hanya sebatas sedekah. Yang dimana masyarakat menganggap bahwa apapun yang di keluarkan setelah panen maka itu sudah termasuk zakat dari hasil panen masyrakat. Selain masyarkat menganggap bahwa sedekah adalah zakat pertanian masyarakat juga menganggap zakat fitrah yang di keluarkan pada saat bulan suci ramadhan sudah termasuk zakat pertanian.penerapan zakat pertanian di desa campurjo belum dilaksanakan karena kurangnya pengetahuan masyrakat terhadap zakat pertanian. Masih banyak masyarakat yang tidak paham dengan zakat pertanian.
Modern strategies of targeted migraine therapy
Authors: Litovchenko T. , Stepanchenko K. , Tondiy O.
Published: June 2023

Migraine is a chronic common neurological disorder. It is an extremely disabling and significantly reduces the quality of life of patients. Developments of the field of fundamental research and functional neuroimaging studies have improved the understanding of the pathophysiology of migraine. New specific drugs and methods of treatment have appeared. They significantly reduced the severity of headache attacks and the course of the disease. Therefore the aim of this work is to analyze and summarize the information of modern professional literature of the pathophysiology and treatment of migraine. Data on the neurophysiological features of the brain in migraine, the emergence of drugs with other therapeutic targets, such as glutamate, amylin, adrenomedullin, orexins, and pituitary adenylate cyclase-activating polypeptide are presented. Recommendations are given for emergency treatment of a migraine attack, depending on the severity of the attack, the degree of maladaptation of the patient, concomitant symptoms, concomitant diseases and the patient's response to treatment. Prophylactic treatment can be divided into first-, second- and third-line drugs, but the choice of drugs and the order of their use depend on local practical recommendations and availability in individual regions and cost. Efficacy, safety of new drugs for specific migraine therapy are discussed such as molecules targeting calcitonin gene-related peptide (hepants and monoclonal antibodies) and serotonin 5-HT1F receptor agonists (ditans). Diagnosis and clinical management of migraine worldwide remain suboptimal. A large number of studies lead to a deeper understanding of the neurobiology of this disorder, the search for new treatment methods that are more adapted to the needs of patients and fundamentally change the approach to the disease.

Keywords: calcitonin gene-related peptide, therapy, hepants, monoclonal antibodies, ditans.
Hubungan Posisi Duduk Terhadap Kejadian Nyeri Punggung Bawah (Low Back Pain) Pada Penjahit Di Kelurahan Solor Kota Kupang Tahun 2017
Authors: Ikun Elisabeth Sri Intan , Nurina Rr. Listyawati , Kareri Dyah Gita Rambu
Published: June 2023

Latar belakang : Low back pain merupakan suatu keluhan yang dapat menurunkan produktivitas kerja manusia. Low back pain jarang fatal namun nyeri yang dirasakan dapat membuat penderita mengalami penurunan kemampuan melakukan aktivitas sehari-hari, problema kesehatan kerja, dan banyak kehilangan jam kerja pada usia produktif maupun usia lanjut. Salah satu faktor risiko low back pain adalah faktor pekerjaan meliputi beban kerja, lama kerja dan sikap kerja.

Tujuan : Menganalisis hubungan posisi duduk terhadap kejadian nyeri punggung bawah (low back pain) pada penjahit di Kelurahan Solor Kota Kupang tahun 2017

Metode : Penelitian ini merupakan penelitian analitikal observasional dengan rancangan cross sectional yang dilakukan pada penjahit di KelurahanSolor Kota Kupang dengan cara pengisian kuesioner dan wawancara langsung. Teknik pengambilan sampel menggunakan total sampling dengan jumlah responden 34 orang yang memenuhi kriteria inklusi dan eksklusi. Data dianalisis menggunakan uji chi square.

Hasil :  Dari penelitian ini didapatkan hasil dari 34 responden yang melakukan posisi duduk yang benar sebanyak 13 orang (38.2%) diantaranya terdapat responden dengan positif LBP sebanyak 4 orang (11.8%) dan negatif LBP sebanyak 9 orang (26.5%). Responden yang melakukan posisi duduk yang salah sebanyak 21 orang (61.8%) diantaranya terdapat responden dengan positif LBP sebanyak 16 orang (47.1%) dan negatif LBP sebanyak 5 orang (14.7%). Hasil uji statistik menggunakan uji chi-square, diperoleh nilai p=0.009 (p<0.05)

Kesimpulan : Terdapat hubungan yang bermakna antara posisi duduk terhadap kejadian nyeri punggung bawah (low back pain) pada penjahit di Kelurahan Solor Kota Kupang tahun 2017 dengan nilai p=0.009 (p<0.05)
Hubungan Pembelajaran Daring dengan Tingkat Stres Akademik Saat Pandemi COVID-19 pada Mahasiswa Fakultas Kedokteran.
Authors: Saudale Sarah Grace Neljti Wilhelmina Emmanuela , Folamauk Conrad Liab Hendricson , Trisno Idawati , Handoyo Nicholas Edwin
Published: June 2023

Latar Belakang : Dengan terjadinya pandemi COVID-19 secara masif dan cepat pemerintah memutuskan untuk melakukan kebijakan berupa lockdown dan social distancing. Masyarakat diwajibkan mengikuti kegiatan Work from Home dan Study from Home. Perubahan metode pembelajaran menjadi pembelajaran daring menyebabkan adanya kendala dan hambatan yang dapat menimbulkan stres akademik pada mahasiswa. Tuntutan dan kesulitan dapat membuat mahasiswa mengalami penurunan prestasi akademik, penurunan konsentrasi belajar, kegagalan pendidikan, dan perkembangan psikologis terganggu.

Tujuan : Mengetahui hubungan pembelajaran daring dengan tingkat stres akademik saat pandemi COVID-19 pada mahasiswa Fakultas Kedokteran Universitas Nusa Cendana.

Metode : Metode penelitian yang digunakan adalah analitik kuantitatif dengan rancangan cross sectional yang dilakukan pada mahasiswa preklinik Fakultas Kedokteran Universitas Nusa Cendana dengan cara pengisian kuesioner. Teknik pengambilan sampel menggunakan stratified random sampling dengan jumlah responden 157 orang dari angkatan 2018, 2019 dan 2020 yang telah memenuhi kriteria inklusi dan eksklusi. Penelitian dianalisis secara univariat dan bivariat menggunakan uji koefisien Contigency. Hasil dan Pembahasan : Dari penelitian ini ditemukan bahwa dari 157 responden, terdapat 52,9% responden mengalami stres akademik, dan 47,1% responden tidak mengalami stres akademik Selain itu didapatkan hasil bahwa terdapat 51,6% responden mengalami pembelajaran daring yang sangat baik, dan 48,4% responden mengalami pembelajaran daring yang baik. Hasil uji bivariat menggunakaan uji koefisien Contigeny pada penelitian ini diperoleh hasil p=0,000 (p<0,05) yang menunjukkan adanya hubungan antara pembelajaran darig dengan tingkat stress akademik saat pandemi COVID-19 pada mahasiswa fakultas kedokteran.

Kesimpulan : Semakin baik berlangsungnya pembelajaran daring maka semakin menurunnya tingkat stres akademik.
Two coupled resonant-tunneling-diode oscillators with an air-bridged transmission line for high-power coherent terahertz radiation
Authors: Han Feifan , Shimura Takumi , Tanaka Hiroki , Suzuki Safumi
Published: June 2023

We developed a two-coupled resonant-tunneling-diode (RTD) terahertz (THz) oscillator with a high output power to fill the THz gap. We arranged two RTD mesas in a low-loss air-bridged transmission line for strong mutual coupling and generation of a unique operation mode and integrated a planar ring-slot antenna for efficient THz radiation while satisfying the impedance matching condition. The device structure was fabricated using a multilayer resist process and a carefully controlled wet etching process. The fabricated device exhibited coherent operation and a high output power of approximately 0.24 mW at a high frequency of 925 GHz.
A UTILIZAÇÃO DA INTELIGÊNCIA ARTIFICIAL PARA AUMENTO DA EFICIÊNCIA DO PODER JUDICIÁRIO
Authors: Berzagui Bruno , Da Silva José Everton
Published: June 2023

O artigo trata da utilização da inteligência artificial (IA) para aumento da eficiência do Poder Judiciário, a partir da Análise Econômica do Direito (AED). O objetivo geral é verificar, com base na AED, se a utilização da IA pode trazer um aumento de eficiência para o Poder Judiciário. Como objetivos específicos, pretende-se conceituar o princípio da eficiência no âmbito da AED; conceituar IA; investigar como a IA é empregada pelo Poder Judiciário brasileiro; e analisar os resultados obtidos pelo Poder Judiciário com a aplicação da IA. Justifica-se a pesquisa pelo aumento da utilização da IA como instrumento auxiliar do Poder Judiciário, a fim de garantir maior eficiência e celeridade na prestação jurisdicional. Quanto aos resultados, verificou-se que a AED é uma abordagem interdisciplinar do Direito, que utiliza de ferramentas da Economia para tratar de fenômenos jurídicos. A IA se refere ao estudo, desenvolvimento e utilização de máquinas capazes de simular a inteligência humana para realização de tarefas e solução de problemas. Pela perspectiva da AED, entende-se que a eficiência do Poder Judiciário está relacionada ao aumento do número de processos julgados, aliada à diminuição do tempo de tramitação processual. Constata-se que a utilização da IA implica no aumento da eficiência do Poder Judiciário, pois propicia maior celeridade processual e a ampliação do total de processos julgados, ainda que não seja diretamente aplicada na atividade decisória. Utilizou-se o método indutivo, aliado à técnica da pesquisa bibliográfica.
VQ-VAE Empowered Wireless Communication for Joint Source-Channel Coding and Beyond
Authors: Nemati Mahyar , Park Jihong , Choi Jinho
Published: June 2023

Vector Quantized Variational Autoencoder (VQ-VAE) has shown promise in representing diverse and complex data distributions in deep learning, making it a potential solution for various applications including wireless communications. In this paper, we propose a joint source-channel coding scheme based on VQ-VAE for point-to-point wireless communication. Our approach leverages the dependence of the encoder and decoder on a given dataset and channel conditions to develop efficient encoding and decoding schemes, leading to improved reliability and efficiency even in the presence of noisy wireless channels. We demonstrate the effectiveness of our proposed approach through extensive simulations in handling realistic wireless communication scenarios. In addition, we discuss potential connections to semantic communication and highlight the secure and energy-efficient nature of our approach.

This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Upon acceptance in IEEE: Personal use of this material is permitted. However, permission to use this material for any other purposes must be obtained from the IEEE by sending a request to pubs-permissions@ieee.org. (Copyright (c) 2015 IEEE.)
Fast Kernel-based Signal Subspace Estimates for Line Spectral Estimation
Authors: Kiser Shawn L. , Margerit Pierre , Rébillat Marc , Guskov Mikhail , Ranc Nicolas
Published: June 2023

This paper introduces the problem formulation of kernel-based subspace estimates for line spectral estimation. Subspace methods suffer from cubic time complexity: specifically, the original ESPRIT algorithm relies on obtaining the signal's singular vectors by SVD/EVD. We show that the original ESPRIT algorithm does not need the signal's singular vectors to exploit rotational invariance, but a set of vectors that span the signal model's Vandermonde matrix are sufficient. To exploit this, we introduce two FFT-based ESPRIT algorithms which have lower time complexities than the original ESPRIT algorithm. These fast algorithms rely on the usage of the DFT kernel, i.e.~a Fourier transform on the row space of the data (Hankel) matrix. The preferred method, named FFT-ESPRIT, achieves quasi-linear time complexity due to a fast Hankel matrix-Kernel matrix product algorithm and extensive usage of the FFT. The kernel-based subspace estimates are approximate in nature, and yet perturbation bounds reveal a noise regime in which FFT-ESPRIT exceeds ESPRIT's performance. We demonstrate the behavior of the algorithm across different SNR and super-resolution regimes and show that the estimated signal subspace is statistically efficient. Numerical simulations show that FFT-ESPRIT is more robust than the ESPRIT algorithm at the very low SNRs, and has a nearly identical performance as ESPRIT at higher SNRs. 
Strategizing AI-powered middleware system design for Human Resources Data Management
Authors: Datta Ishita
Published: June 2023

The growing adoption of iPaaS (Integration Platform as a Service) solutions in organisations has led to an increased need for efficient and tailored middleware systems to manage the various data types, including various use cases of artificial intelligence and automation. While many iPaaS solutions offer similar core utilities, the differences in configuration options, the availability of connectors, range of features and the ease-of-use can greatly impact their efficacy while handling specific types of data. Most iPaaS solutions try to fit the one-size-fits-all model so that all kinds of data can be manipulated through a single iPaaS medium. Differences in data types poses a limitation to such a model. This paper aims to explore the challenges faced during best practices of the current middleware systems focussing on HR (Human Resources) data, as well as potential AI applications in the design of the iPaaS. The study also highlights the importance of considering factors such as data security, data governance, and user friendliness when selecting an iPaaS solution for HR data management and possible AI-driven strategies.
Motor Overvoltage Mitigation by Active Cancellation of Reflections Using Parallel SiC Devices with a Coupled Inductor
Authors: Lackie Tim , Jiang Yunlei , Shillaber Luke , Long Teng
Published: June 2023

Employing high switching speed wide bandgap (WBG) devices improves the efficiency of industrial drive inverters, but can result in motor overvoltages for shorter lengths of cable between the inverter and motor. These overvoltages are caused by high frequency impedance mismatches resulting in reflection of the voltage pulse edges of the inverter output. Forwards and backwards travelling reflections interfere and in the worst case cause double the DC-link voltage to appear across the motor terminals. In this paper this doubling of the motor voltage stress is observed with only a 10 metre cable. To mitigate the motor overvoltage a novel method using a differential mode coupled inductor between the paralleled half bridges and the phase output is proposed. By adding a delay time between the half bridges at every switching event a quasi-three-level output is produced which can actively cancel reflected voltage waves, eliminating the cause of motor overvoltages. The method can be utilised for three phase inverters, and when using paralleled devices only requires one additional inductor per phase. A design process for the coupled inductors is given which aims to minimise the circulating current between the half bridges and therefore give minimal increase in conduction losses due to imbalanced current sharing. These additional conduction losses and other limitations of the proposed method are analysed. An inverter utilising this proposed method is implemented and compared to a filter designed for overvoltage mitigation. The novel method achieves near perfect overvoltage mitigation with much smaller additional volume and much lower losses than the filter. Furthermore the losses when using the active mitigation method are very similar to using the inverter with no overvoltage mitigation.
The Power of Immersive Media: Enhancing Empathy through Virtual Reality Experiences
Authors: Dhiman Dr. Bharat
Published: June 2023

This research paper explores the transformative potential of immersive media, specifically virtual reality (VR), in enhancing empathy among users. Empathy is vital in fostering understanding, compassion, and social cohesion. Immersive media, with its ability to transport individuals into simulated environments and perspectives, offers unique opportunities to bridge the empathy gap. This paper examines how VR can boost empathy, including perspective-taking, emotional connection, experiential learning, breaking down barriers, and empathy-building simulations. It discusses existing studies and empirical evidence supporting the effectiveness of VR in promoting empathy. The paper acknowledges the ethical considerations and challenges associated with using VR for empathy enhancement, such as avoiding stereotype reinforcement and ensuring inclusive design. By highlighting the potential of immersive media in cultivating empathy, this research paper contributes to the growing field of empathy research and provides insights for the development and application of VR experiences aimed at fostering empathy and understanding in diverse contexts.
A Statistical Analysis Model of Wind Power Generation Forecasting for the Western Region of India
Authors: Mahata Sulagna , Harsh Piyush , Shekher Vineet , Rai Pankaj
Published: June 2023

Wind energy has witnessed an upswing, with the improvement in current technology and cost-effective electricity production but due to uncertain wind behaviour and weather trends, it is essential to forecast wind energy. The paper presents the Autoregressive Integrated Moving Average model, a statistical analysis model, to forecast future power generation values, for the Kutch region of Gujarat, India. The historical wind power generation data and weather parameters have been taken into consideration for the predictive analysis of future trends in power generation. Wind power generation is dependent on various weather factors like wind speed, wind direction, temperature, humidity, air density, etc. The historical data obtained from Central Electricity Authority (CEA), India, and weather data collected from regional weather stations have been made into use for the forecast. A summary of the results is shown using the performance metrics for model evaluation, indicating that the model can forecast wind power generation with higher accuracy. 
A Statistical Analysis Model of Wind Power Generation Forecasting for Western region of India
Authors: Mahata Sulagna , Harsh Piyush , Shekher Vineet , Rai Pankaj
Published: June 2023

Wind energy has witnessed an upswing, with the improvement in current technology and cost-effective electricity production but due to uncertain wind behaviour and weather trends, it is essential to forecast wind energy. The paper presents the Autoregressive Integrated Moving Average model, a statistical analysis model, to forecast future power generation values, for the Kutch region of Gujarat, India. The historical wind power generation data and weather parameters have been taken into consideration for the predictive analysis of future trends in power generation. Wind power generation is dependent on various weather factors like wind speed, wind direction, temperature, humidity, air density, etc. The historical data obtained from Central Electricity Authority (CEA), India, and weather data collected from regional weather stations have been made into use for the forecast. A summary of the results is shown using the performance metrics for model evaluation, indicating that the model can forecast wind power generation with higher accuracy. 
To Explore the Anti-Inflammatory Mechanism of Purslane Based on Network Pharmacology and Molecular Docking
Authors: Lu Ling-yu , Ding Li-zhuo , Zhu Ying-zhuo-zhan , Li Yan , Li Meng , Shen Hong-zhi , Zhang Min-yue , Zhao Rui , Jia Gui-yan
Published: June 2023

This study was based on network pharmacology and molecular docking combined with experiments in vitro to explore the potential anti-inflammatory mechanism of Portulaca oleracea L. flavone (POL-F). First, the core targets of inflammation in purslane were screened through various databases and software, GO and KEGG analysis and molecular docking were performed. Then, mouse macrophage RAW264.7 was selected as the study object, and the safe experimental concentration of POL-F was confirmed by CCK-8 assay. The cells were divided into a control group, an LPS inflammatory cell model group, and an LPS inflammatory cell model group treated with different concentrations of POL-F. The secretion of NO in each group was detected by the Griess method. The expressions of IL-1β, IL-7, and TNF-α in the supernatant were detected by ELISA. The regulatory effects of POL-F on p-PI3K and PAKT signaling pathway proteins in cells of each group were detected by Western blot. The results showed that Pol-F treated with 100, 200, and 400 μg/ mL had no toxic effect on cells. The three concentrations of POL-F showed inhibitory effect on NO secretion of inflammatory cells, and the inhibitory activity was the best at 400 μg/ml. The expression of p-PI3K and PAKT protein was also inhibited after POL-F treatment. In conclusion, POL-F has a significant inhibitory effect on inflammatory response in vitro.
Growth Response of Cocoa (Theobroma cacao L.) Seedlings on Various Planting Media Administration
Authors: Abri Abri , Amirudin Amirudin
Published: June 2023

Growth response of cocoa (Theobroma cacao L.) seedlings on various planting media administration. This research aimed to determine the growth response of cocoa seedling plants with the application of various compost media. The purpose of this research was to provide information regarding the type of compost combination that was suitable for the growth of cocoa seedlings. This research was conducted in Sugihwaras Village, Wonomulyo Subdistrict, Polewali Mandar Regency, West Sulawesi, Indonesia from October 2020 to January 2021. The analytical method used in this research was the Randomized Block Design (RBD) with 8 treatments: 1) 1:1:1 (Soil + Cow Manure + Sand), 2) 2:1:1 (Soil + Cow Manure + Sand), 3) 1:1:1 ( Soil + Tofu Dregs + Sand ), 4) 2:1:1 (Soil + Tofu Dregs + Sand), 5) 1:1:1 (Soil + Vermicompost + Sand), 6) 1:1:1 (Vermicompost + Cow Manure + Tofu Dregs), 7) 2:1:1 (Soil + Vermicompost + Cow Manure), 8) 2:1:1 (Soil + Cow Manure + Tofu Dregs). Each treatment was repeated three times, so that the number of samples was 72 plants. This study indicated that the treatment of Soil + Cow Manure + Sand media with a ratio of 2:1:1 gave the best effect on the plant height, plant weight, and root length of cocoa seedlings.
STRATEGI PENGEMBANGAN EDUWISATA AGROINDUSTRI BERAS TAMBELANG MENGGUNAKAN SWOT
Authors: Ferianto  , Ekaterina Setyawati
Published: June 2023

Pertumbuhan ekonomi Indonesia merupakan salah satu faktor yang ditopang oleh sektor pertanian. Kecamatan Tambelang merupakan suatu daerah dengan komoditas penghasilan terbesarnya adalah beras dengan produksi rata-rata 48.439ton pertahun (BPS, 2018). Sebagai salah satu produsen padi tertinggi, dukungan dari penggilingan padi untuk memproses menjadi beras sangatlah penting berdasarkan data BPS tahun 2015 Penggilingan Padi Kecil (PPK) sangat mendominasi di Indonesia dengan sebaran169 ribu unit produksi dari 180 ribu unit. Salah satunya Lumbung Pangan Masyarakat (LPM) Cahaya Tani yang berlokasi di Desa Sukarahayu, Kecamatan Tambelang, Kabupaten Bekasi merupakan penggilingan padi kecil dimana proses pengolahan padi menjadi beras dan pengolahan limbahnya dijadikan suatu perjalanan wisata edukasi (edu wisata) terlebih lagi untuk wilayah perkotaan yang sangat minim dengan wisata berbentuk seperti ini tentu hal ini perlu adanya strategi-strategi pengembangan untuk meningkatkan minat pengunjung dan nilai tambah dari eduwisata Tambelang itu sendiri. Tujuan dari penelitian ini untuk merancang strategi pengembangan model eduwisata Tambelang. Jenis penelitian ini adalah kualitatif dengan menggunakan pendekatan Business Model Canvas dan disempurnakan dengan SWOT untuk memperoleh strategi yang tepat untuk pengembangan eduwisata Tambelang. Metode pengumpulan data penelitian ini menggunakan wawancara, dan observasi. Hasil dari penelitian ini merupakan strategi pengembangan untuk eduwisata Tambelang nantinya.
PENGARUH MEDIA SOSIAL INSTAGRAM TERHADAP KEPUTUSAN BERKUNJUNG KE ANJUNGAN KALIMANTAN TIMUR (SURVEI PADA FOLLOWERS AKUN INSTAGRAM @ANJUNGANKALTIM)
Authors: Safira Rachmawati  , Ismayanti
Published: June 2023

Perubahan pemasaran pada era digital memungkinkan produsen untuk beradaptasi dengan perkembangan dan manfaat teknologi, khususnya di kalangan generasi milenial. Salah satu strategi pemasaran yang dilakukan oleh Anjungan Kalimantan Timur yaitu degan menggunakan media sosial Instagram. Penelitian ini bertujuan untuk mengetahui aktifitas pada akun Instagram Anjungan Kalimantan Timur (@anjungankaltim) terhadap Keputusan Berkunjung ke Anjungan Kalimantan Timur. Penelitian ini menggunakan kuesioner dalam memperoleh data yag disebar kepada pengguna aktif Instagram, dengan jumlah sampel sebanyak 93 responden, selanjutnya metode analisis data yang digunakan adalah analisis deskriptif kuantitatif, analisis regresi linier sederhana, dan uji hipotesis. Berdasarkan metode analisis data tersebut pada variabel Instagram mendapatkan hasil rata-rata 4,37 yang artinya media sosial Instagram sangat aktif. Sedangkan pada variabel keputusan berkunjung memiliki hasil rata-rata 4,40 yang artinya sangat tinggi. Dari hasi perhitungan regresi linier sederhana dan uji-t mendapatkan hasil constant (a) sebesar 4,968 dan nilai siginifikansi 0,000 < 0,05 sehingga H0 ditolak dan H1 diterima yang artinya aktifitas pada akun Instagram @anjungankaltim berpengaruh terhadap keputusan berkunjung ke anjungan Kalimantan timur. Dapat disimpulkan bahwa media sosial Instagram berpengaruh terhadap keputusan berkunjung ke Anjungan Kalimantan Timur, dan diharapkan pihak pengelola Instagram lebih aktif dalam memberikan informasi dan meningkatkan promosi di Instagram dengan rutin memposting content marketing.
PENGARUH FLUKTUASI RASIO KEUANGAN DAN BI RATE TERHADAP TOTAL PEMBIAYAAN YANG DIBERIKAN KEPADA NASABAH BPRS DI INDONESIA
Authors: Arnika Melina Sahita  , Ovilia Husna  , Yuwita Ariessa Pravasanti  , Iin Emi Prastiwi  , Yudi Siyamto
Published: June 2023

BPRS memiliki peran penting dalam perekonomian di Indonesia, mengingat sumbangsih kemajuan suatu Negara terletak pada kemajuan UMKM, salah satu tujuan adanya BPRS adalah meningkatkan peran Usaha Mikro, Kecil dan Menengah dalam pembangunan daerah, penciptaan lapangan kerja, pemerataan pendapatan, pertumbuhan ekonomi, dan pengentasan rakyat dari kemiskinan. Penelitian ini bertujuan untuk menguji pengaruh yang diberikan dari fluktuasi rasio keungan dan BI Rate dan Terhadap  total pembiayaan yang diberikan kepada nasabah BPRS di Indonesia. Populasi dalam penelitian ini adalah seluruh BPRS ada di Indonesia yang terdaftar di OJK, dengan pengambilan sampel secara purposive sampling. Metode analisis data yang digunakan adalah Error Correction Model (ECM). Hasil analisis menunjukkan bahwa BI Rate dan variabel ROA memiliki pengaruh yang signifikan terhadap pembiayaan BPRS dalam jangka panjang. Sedangkan pada jangka pendek tidak menunjukkan adanya pengaruh yang signifikan terhadap pembiayaan BPRS kepada nasabah. Pada variabel DPK berpengaruh signifikan terhadap pembiayaan BPRS yang diberikan kepada nasabah baik jangka panjang maupun jangka pendek. Sedangkan pada variabel BOPO tidak memiliki pengaruh yang signifikan terhadap pembiayaan.
PEMANFAATAN BUAH JERUK LOKAL SEBAGAI KOAGULAN PADA SARI TEMPE
Authors: Retno Fitrianti  , Siti Chairiyah Batubara
Published: June 2023

Indonesia memiliki banyak jenis buah jeruk lokal. Pada umumnya memiliki pH antara 2,46 - 2,48 dan berpotensi sebagai koagulan alami. Tujuan dari penelitian ini adalah untuk mendapatkan jenis buah jeruk lokal yang dapat menghasilkan rendemen sari tempe secara optimal. Rendemen sari tempe ditentukan melalui uji kimia (derajat keasaman, kadar protein, dan rendemen). Uji organoleptik menggunakan analisis deskripsi kualitatif dengan menggunakan kuesioner aroma, warna, tekstur dan rasa. Hasil penelitian menunjukkan bahwa jenis koagulan tidak berpengaruh nyata terhadap performa/kinerja dari koagulasi sari tempe, dimana >0,05 pada uji kimia yaitu derajat keasaman, kadar protein, rendemen dan uji organoleptik, sedangkan konsentrasi koagulan berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana <0,05 pada uji kimia (derajat keasaman, rendemen) dan pada uji organoleptik (aroma, tekstur dan rasa). Selain itu, konsentrasi koagulan tidak berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana >0,05 pada uji kimia (kadar protein) dan uji organoleptik (warna). Sedangkan interaksi antara jenis dan konsentrasi koagulan tidak berpengaruh nyata terhadap performa/kinerja koagulasi sari tempe, dimana >0,05 pada uji kimia dan uji organoleptik
Machine Learning based Classification and Detection of Lung Cancer
Authors: Ojha Trailokya Raj
Published: June 2023

Lung cancer has surpassed all other types of cancer as the most common cause of death worldwide. There is an increased mortality ratio and a poor diagnosis for lung cancer than any other types of cancer. Thus, forecasting rates becomes a difficult task for humans. Consequently, numerous machine learning algorithms have been suggested to offer efficient and speedy forecasting of ambiguous raw data with minimal inaccuracies. In this research, various machine learning algorithms including Support Vector Machine, Adaptive Boosting, k-Nearest Neighbor, Logistic Regression, J48, and Naïve Bayes have been implemented on medical history and physical activities of participants to identify and classify the lung cancer. Various physiological factors have been taken into account and applied to machine learning algorithms. The results indicate that all algorithms can predict incidence rates with high scores; however, Logistic Regression achieved better performance with an accuracy and f-measure of 94.7% compared to other algorithms.