bluuebunny/crossref_metadata_2025 huggingface dataset:
The effect addition of epigallocatechin-3-gallate (EGCG) in nano hydroxyapatite on surface porosity as a candidate pulp capping materia
Authors: Ismiyatin Kun , Zubaidah Nanik , Azzaria Indira Moza
Published: August 2023

Background: Deep caries, cavity preparation and use of burs or other dental instruments often result in pulpal perforation. In the case of an exposed pulp, regenerative pulp tissue treatment aims to regenerate normal tissue and maintain pulp vitality by inducing pulp regeneration using the right material, so that a good percentage and size of material porosity is needed to help cell regeneration by supporting cell proliferation and attachment, stimulating remineralization and differentiation of odontoblast-like cells. Nano-HA has the ability to produce dentine bridges continuously, has porous properties that allow cell growth, improves mechanical properties, but is not anti-inflammatory so that EGCG is added which has the advantage of being an antioxidant, anti-inflammatory which can optimize pulp tissue regeneration and also acts as an antimicrobial by reduce the growth of bacteria in the oral cavity and can trigger the proliferation and differentiation of human dental pulp cells. Purpose: This study aims to prove the difference in surface porosity of nano hydroxyapatite added with EGCG compared to nano hydroxyapatite and aquadest. Methods: This study used a laboratory experimental study with a posttest-only control group design. The research sample consisted of 32 samples which were divided into 2 groups, the treatment group (nano HA - EGCG) and the control group (nano HA - aquadest). Each research group was subjected to freeze drying and SEM tests. Results: There was a significant difference in the percentage of surface porosity between the nano hydroxyapatite added with EGCG compared to nano hydroxyapatite and aquadest.on the results of the Independent T-test (p<0.05). Conclusion: The addition of EGCG to nano hydroxyapatite has a higher porosity percentage compared to nano hydroxyapatite with aquadest.
Inhibitory effect of nano Stolephorus insularis and calcium hydroxide on glucosyltransferase (GTF) activity of Lactobacillus aciophilus
Authors: Yuanita Tamara , Juniarti Devi Eka , Marbun Tarsardo
Published: August 2023

Background: Dental caries is the most common multifactorial infectious disease worldwide which referes to the process of destruction tooth hard tissue caused by bacterial by-products in the form of acids through carbohydrate fermentation. Lactobacillus acidophilus is one of the main cariogenic bacteria that causes caries by forming biofilms with the help ofglucosyltransferase (GTF) enzymes. Calcium hydroxide has limited antibacterial effects. Nano brown anchovy contains fluor as the active compound which has the potential as an antibacterial alternative agent. Purpose: To explain the inhibition of the combination of nano Stolephorus insularis and calcium hydroxide on the activity of the glucosyltransferase enzyme of Lactobacillus acidophilus bacteria. Methods: This study used a combination of nano Stolephorus insularis 3.125% with calcium hydroxide as a treatment and aquades as a control. The GTF enzyme was obtained from the supernatant centrifuged by Lactobacillus acidophilus in BHIB. The activity of the GTF enzyme was considered by calculating the fructose levels using High Performance Liquid Chromatography (HPLC) in a certain formula.Results: Decreased levels of fructose was obtained in the treatment group. From the results of Mann- Whitney data analysis, there were significant difference in the study groups. Conclusion: the combination of nano Stolephorus insularis with calcium hydroxide is effective to inhibit the glucosyltransferase enzyme activity of Lactobacillus acidophilus bacteria.
Effective Dose of Nano Propolis as Anti-Pain in Animal Models of Mus Musculus Using Writhing Test Method
Authors: Witjaksana Annisa Salsabila , Widjiastuti Ira , Juniarti Devi Eka
Published: August 2023

Background: Odontogenic pain has a high prevalence where this pain is the result of noxious physical stimuli or calming inflammatory mediators that stimulate receptors located at the terminal ends of nociceptive C and Aδ afferent nerve fibers. Nano propolis is an alternative material that is used as a medicine in dentistry. Nano propolis is a mixture of natural resins containing flavonoids and phenolic acids which play a role in suppressing pain response through COX and NF-kB inhibition mechanisms. Nanoparticle technology is capable of preparing active drug ingredients in nano-sized particles and can affect drug effectiveness, because particle size affects the process of solubility, absorption and distribution of drugs. Research on the potential of nano propolis as an anti-pain is still minimal, so further research is needed on the function of nano propolis as an alternative anti-pain agent. Purpose: To determine the effective dose of nano propolis on pain response in Mus musculus. Methods: This research was conducted using the writhing test method to see the analgesic effect of nano propolis. The research sample consisted of 28 Mus musculus which were divided into four treatment groups, namely the piroxicam control group, and the nano propolis treatment group of 17.5 mg/kg, 35 mg/kg, and 70 mg/kg. Results: The results showed that the four treatment groups did not have a significant difference, in other words, they had the same anti-pain effect. Conclusion: Nano propolis 35 mg/kgBB is an effective dose in suppressing pain response in Mus musculus.
Analisis Double Exponential Smoothing pada Indeks Pembangunan Manusia di Kabupaten Banyumas
Authors: Alfa Yuliana  , Fauzy Akhmad
Published: August 2023

Indeks Pembangunan Manusia (IPM) adalah tolak ukur keberhasilan pembangunan manusia (penduduk) di suatu wilayah. Semakin tinggi nilai IPM pada suatu wilayah menunjukkan wilayah tersebut tingkat pencapaian pembangunan manusia semakin baik. Peramalan (forecasting) adalah suatu cara,untuk memperkirakan kondisi di masa depan. Tujuan penelitian ini, untuk mengetahui prediksi IPM Kabupaten Banyumas untuk 5 periode (tahun) kedepan dari tahun 2022 hingga tahun 2026 serta tingkat kesalahan peramalannya dengan menggunakan MAPE. Berdasarkan pola data IPM Kabupaten Banyumas yang mengalami peningkatan setiap periode atau tahunnya maka disimpulkan data memiliki kecenderungan trend naik, maka dilakukan penelitian peramalan IPM Kabupaten Banyumas menggunakan metode Double Exponential Smoothing (DES) dua parameter Holt. Didapatkan hasil peramalan pada indeks pembangunan manusia menggunakan metode ini mengalami peningkatan secara signifikan setiap tahunnya. Didapatkan juga nilai parameter pemulusan level α sebesar 0.9619782 dan parameter pemulusan trend β sebesar 0 yang optimum serta didapatkan nilai ukuran kesalahan dengan Mean Square Error (MSE) sebesar 0.08349977 dan dengan Mean Absolute Percentage Error (MAPE) sebesar 0.2875306% artinya hasil peramalan dengan metode DES yang telah dilakukanini sangat baik menurut kriteria MAPE.
Implementasi Lexicon Based Untuk Analisis Sentimen Dalam Menentukan Rekomendasi Pantai Di DI Yogyakarta Berdasarkan Data Twitter
Authors: Ismail Amalia Rachmadana , Raden Bagus Fajriya Hakim
Published: August 2023

Saat ini, peningkatan sektor pariwisata Indonesia tidak lepas dari yang namanya teknologi. Selama berwisata, wisatawan akan berbagi pengalaman mereka secara real time melalui unggahan foto dan video serta komentar aktif di media sosial. Salah satu media sosial yang menjadi favorit di Indonesia adalah twitter. Dari tweet tersebut akan diketahui destinasi wisata yang sedang populer dan sedang ramai diperbincangkan oleh masyarakat. Oleh karena itu kita membutuhkan sistem untuk memberikan informasi tentang tren pariwisata di sebuah kota. Tentu informasi tersebut sangat bermanfaat bagi wisatawan, masyarakat, pemerintah, dan sektor pariwisata di kota tersebut. Dalam penelitian ini, sistem yang dapat menentukan destinasi wisata favorit melalui hastag atau keyword tertentu dengan melakukan analisis sentimen. Salah satu dari pendekatan untuk melakukan analisis sentimen adalah menggunakan metode lexicon based. Berdasarkan analisis yang telah dilakukan dengan keyword ‘wisata pantai jogja’, diperoleh bahwa wisata pantai di DI Yogyakarta yang sedang ramai diperbincangkan adalah pantai slili dan pantai siung. Hasil analisis sentimen menunjukkan bahwa mayoritas masyarakat yang menulis tweet tentang wisata pantai jogja menunjukkan opini yang positif terhadap wisata pantai yang ada di DI Yogyakarta.
Penerapan Metode ARIMA dan Double Exponential Smoothing with Damped Parameter Untuk Memprediksi Jumlah Keberangkatan Penumpang Pesawat Komersial di Jawa Tengah Pada Tahun 2022-2023
Authors: Mutiara Ananda , Muhammad Hasan Sidiq Kurniawan
Published: August 2023

Bandara adalah tempat pesawat untuk lepas landas ataupun mendarat. Bandara tersebar di berbagai provinsi di Indonesia. Bandara di Provinsi Jawa Tengah setiap harinya beroperasi sehingga jumlah keberangkatan penumpang dapat mengalami naik dan turun setiap bulannya. Oleh karena itu dibutuhkan prediksi untuk mengetahui jumlah keberangkatan penumpang pesawat di Jawa Tengah untuk kedepannya. Metode yang digunakan oleh peneliti dalam penelitian ini adalah metode ARIMA dan DES with Damped Parameter. Dari hasil penelitian ini, model terbaik dari metode ARIMA adalah ARIMA(3,2,0) dengan nilai kesalahan terkecil AIC sebesar 1130,09 , AICc sebesar 1131,07 , dan BIC sebesar 1137,41. Hasil peramalan jumlah keberangkatan penumpang pesawat komersial di Jawa tengah pada tahun 2022 sampai mengalami kenaikan secara signifikan. Dari hasil perbandingan antara data aktual dan data prediksi jumlah keberangkatan penumpang pesawat komersial di Jawa Tengah pada tahun 2020 menggunakan DES with damped parameter, diketahui bahwa adanya pandemi covid-19 berpengaruh terhadap jumlah keberangkatan penumpang pesawat komersial di Jawa Tengah.
THE THREE GOOD THINGS INTERVENTION TO IMPROVE SUBJECTIVE WELL-BEING IN STUDENTS
Authors: Andriani Fadilah , Lukman
Published: August 2023

ABSTRACT: The pressure from lectures experienced by students can have detrimental effects on their well-being and overall life satisfaction. Therefore, this study aimed to assess the effectiveness of three good things interventions in enhancing the subjective well-being of students. A total of 36 students from Makassar State University participated in this randomized experiment, using an alternative treatment design with a pretest. The Positive and Negative Affect Schedule (PANAS) and Satisfaction With Life Scale (SWLS) were used as measurement tools, and the data were analyzed through an independent sample t-test and analysis of covariance (ANCOVA). The result showed a significant difference in subjective well-being changes between participants who received the three good things intervention and those with a placebo memory, at a t-test significance value of 0.007 and ANCOVA significance of 0.008. Hence, it can be concluded that the three good things interventions positively impact the subjective well-being of students at Makassar State University. This study provided valuable insights on the positive impact of three good things interventions in improving subjective well-being.
Upaya Hukum Pembuktian Tindak Pidana Cyber Laundering yang Dilakukan Melalui Non-Fungible Token (NFT)
Authors: Roro Fara Anissa Putri Raden , Fauzy Elfian
Published: August 2023

This research is motivated by the dynamics and development of money laundering crimes that utilize a technological operating system known as cyber laundering as a result of increasingly massive technological developments. The modes and means of cyber laundering used are consistently growing, one of which is by using NFT which makes it even more difficult to trace and to prove. Evidentiary is indeed a problematic factor in this crime as there is no technological sophistication to be able to prove it. The formulation of the problems raised in this study, first; what is the modus operandi of cyber laundering via NFT? Second, what are the legal policy efforts towards proving cyber laundering crimes committed through the NFT platform in Indonesia? The research method used is normative juridical with a statutory approach. The data collection was carried out through a literature study. The results of the study show that the NFT modus operandi is carried out through the exploitation of digital artworks. This is caused by the absence of price limits, the lack of control so that there is no comprehensive policy. The difficulty of proving the crime of cyber laundering through cryptocurrency and NFT is due to its properties which strictly maintain the confidentiality of the account owner. Thus in order to be able to prove this crime apart from using balanced limited inverted evidence as stipulated in the crime of money laundering, new breakthroughs are also needed for NFTs to be tracked.
Diabetes Diagnostic Expert System using Website-Based Forward Chaining Method
Authors: Putri Tiara Khumaira , Arnumukti Mahda Laina , Khatimah Khusnul , Zalsabila Egidya , Sudianto Sudianto
Published: August 2023

Diabetes is a chronic disease. The World Health Organization predicts that Indonesia's number of diabetic patients will continue to increase significantly to 16.7 million in 2045. As early prevention, early diagnosis is needed to anticipate more severe diabetes. This study aims to build an expert system for detecting diabetes using a web-based forward chaining method. The expert system is built by collecting indications from experts by collecting facts using the forward chaining method. Furthermore, judging by the unhealthy lifestyle of many people who consult with hospitals or health workers. From the results obtained, the system can work well based on knowledge from experts
Utilization of Google Trends in Knowing Public Attention to Diabetes in Indonesia in 2018
Authors: Prataba Guruh Dewa , Putri Aida Devanty , Fadila Lalu Moh. Arsal
Published: August 2023

Diabetes is one of the four non-communicable diseases that are prioritized because of the sufferer’s number and the increasing prevalence rate. The results of the 2018 Basic Health Research shows an iceberg phenomenon where there are far more people living with diabetes who have not been diagnosed than those who live with diabetes and know their condition. The public's desire to find out in advance the disease that may be suffered on Google opens up opportunities of research in public concern about diabetes. This research with descriptive analysis aims to describe the public's attention to diabetes based on Google Trends data. The results show that the development of public attention in 2018 tends to fluctuate with the highest index on World Diabetes Day. Then there are provinces that need attention with high diabetes prevalence values ​​but still have a low volume of diabetes-related searches. Most topics related to diabetes are about the drugs, causes, and symptoms of diabetes. So it is necessary to socialize diabetes literacy, especially in areas with low public attention
Comparison of C4.5 and Naive Bayes Algorithm Methods in Prediction of Student Graduation on Time (Case Study: Information Systems Study Program)
Authors: Dikriani Disty , Indal Karim Alvina Tahta
Published: August 2023

In tertiary institutions, students become one of the important parameters in the evaluation of study program organizers. Prediction of student graduation is a special concern to know, early identification for students is needed as an important action. Information processing to predict student graduation is by implementing data mining. The implementation of data mining can be applied if a university, especially a study program, does not yet have an early classification in achieving student graduation on time. The ITTP Information System study program is one of the study programs that does not have an early identification of student graduation on time. Determination of graduation for SI ITTP Study Program students includes GPA, TOEFL scores, and total credits. The purpose of this research is to find out which attributes have the most influence in predicting graduation of ITTP IS Study Program students. The method used in this prediction is by using the classification of the C4.5 Algorithm and Naïve Bayes. The classification is used to determine which attributes have an effect on predicting student graduation on time and to compare the two classification methods. The results obtained are the training set size 70% which has the best accuracy when compared to other training set sizes. Comparing the accuracy between the two methods, it is known that the C4.5 algorithm has good accuracy when training set size is 70% and Naïve Bayes has higher accuracy when training set size is 75%. Decision tree C4.5 interprets that the most influential attribute is the GPA as the root of the decision tree to predict student graduation on time. The research is expected to be used as a reference for the ITTP IS Study Program in formulating student graduation policies on time and as a reference for further researchers in predicting in the same field.
G4v and the Correspondence Principle
Authors: Piasecki Daniel
Published: August 2023

G4v is a four-vector theory of gravitation proposed by Mead (2015, 2023a,b) which reinterprets several major results commonly celebrated for the tensor-based approach of General Relativity (GR). Here, we show that G4v obeys the correspondence principle, an important test of any relativistic theory. We derive the non-relativistic Lagrangian and Energy expressions at the limit of low speeds and potentials, complete with the correct terms for potential energy (something traditional Special Relativity is incapable of achieving). G4v could represent a new interpretation of the gravitational field with essentially the same mathematics as electromagnetism (Mead 2023a). It is also possible to interpret G4v as a very interesting (and useful) approximation of the Einstein field equations (Mead 2023b).
Improved Low Drag Pontoons for Water Bikes
Authors: Nesteruk Igor , Krile Srećko , Möller Thorsten
Published: August 2023

Rather high speed of modern water bikes that they develop using only human muscle power increases their popularity. For example, the maximum speed of prototypes reaches the value 3 m/s. Similar vehicles can be used not only for recreation and fitness, but also for transportation. To increase their speed and tonnage, we recommend improving the pontoon shape and using electrical power. The total drag and maximal speeds of the vehicles with the human muscle and electrical power are estimated. Expected success in improving the pontoon shape opens wide prospects for the use of these special shaped hulls in shipbuilding.
Neutrophil-to-Lymphocyte Ratio, Neutrophil-to-Monocyte Ratio, Platelet-to-Lymphocyte Ratio, and Systemic Immune-Inflammation Index in Psoriasis Patients: Response To Treatment With Biological Drugs
Authors: Albayrak Hulya
Published: August 2023

Background: Psoriasis is a chronic immune-mediated skin disease in which systemic inflammation plays an important role in the pathogenesis. In recent years, neutrophil-to-lymphocyte ratio (NLR), neutrophil-to-monocyte ratio (NMR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) have been shown to be important indicators of inflammation. In this study, our aim is to investigate NLR, NMR, PLR, and SII levels in psoriasis patients treated with biologic agents.

Method: Clinical and biochemical data of 209 patients who received systemic therapy for psoriasis were obtained by retrospectively reviewing their medical records. NLR, NMR, PLR, and SII values were calculated from the hemogram values of the patients.

Results: In the third month of follow-up, the mean CRP, NLR, NMR, PLR, and SII values were significantly decreased compared to the baseline values. SII values showed strong positive correlations with NLR, NMR and PLR. Adalimumab, etanercept, and infliximab, which are TNF-α blockers, were observed to be more effective on PLR and NLR and especially NMR.

Conclusion: NLR, NMR, PLR, and SII, which are data obtained from routine blood tests, can be used in the monitoring of treatment of psoriasis, especially with TNF- α blockers.
MRI Images Compression by Deep Convolution Network with Optimize Pixel Predictor
Authors: Garg Garima , Kumar Raman
Published: August 2023

The primary goal of picture compression is to reduce the amount of unused image data while still storing or transmitting it in a format that is appropriate. The compression of raw binary data is quite different from the compression of a picture, and these differences may be rather substantial. In light of this, compression is often regarded as an essential technique for the purposes of both data storage an d transmission in order to mitigate the excessive amounts of data that are generated by these images. In order to transmit enormous datasets, particularly for the purposes of telemedicine and teleradiology, one needs a significant amount of storage capacity as well as an expansive network. As a result, compression is an important aspect of medical imaging. In addition to the importance of compression, the quality of the photos themselves is also an essential factor in the success of analysis. In addition to this, the amount of time necessary to compress the photographs before sending them should be reduced.
Hydrogels as a Growth Factor-Free Strategy for Cartilage Tissue Engineering
Authors: Roncada Tosca , Blunn Gordon , Roldo Marta
Published: August 2023

Focal cartilage defects are a prevalent knee problem affecting people of all ages. Due to its avascular nature, cartilage has limited self-repair capacity, and osteochondral defects can lead to pain and long-term complications such as osteoarthritis. Autologous chondrocyte implantation (ACI) has been a successful surgical approach for repairing osteochondral defects over the past two decades. However, a major drawback of ACI is the de-differentiation of chondrocytes during their in vitro expansion. In this study, we isolated ovine chondrocytes and cultured them in a two-dimensional environment as for ACI procedures. We hypothesised that the 3D scaffolds would support the cells re-differentiation without the need for growth factors and so we encapsulated them into soft collagen and alginate (col/alg) hydrogels. Chondrocytes embedded into hydrogels were viable and proliferated. After 7 days they acquired a rounded morphology and started to aggregate. Gene expression studies showed that the genes associated with chondrogenesis started to be up regulated as early as day one. At 21 days chondrocytes had extensively colonized the hydrogel, forming large cell clusters and started to deposit collagen II and aggrecan with limited collagen type I deposition. These findings highlight the potential of soft col/alg hydrogels to enhance ACI outcomes by creating a favourable microenvironment for chondrocyte reprogramming and re-differentiation, eliminating the dependency on growth factors.
Machine Learning Tools Applied for Training Optimization in Handball
Authors: Bucea Manea Tonis Radu , Savin Petre Sorin , Talaghir Laurentiu-Gabriel , Mindrescu Veronica
Published: August 2023

Analytics become increasingly popular among different sports in recent years, as they provide valuable information regarding both physical and mental health. Many athletes have found that analytics during training can help to improve their performance, reduce the risk of injury, and enhance their overall well-being This paper propose to improve the results of handball players by applying a method for measuring the influence of different trials on aggregate performance calculated per each athlete in order to qualify for Olympic games. By separating the isolated action of each trial, the result is an additional influence that is caused by the interaction of factors or the simultaneous action. That might explain the neuromuscular feedback loop utterly necessary in performing handball motor actions. Further on, the ML analysis can help identify areas for improvement, optimize training programs, and enhance overall team performance.
Molecular Characterization of the Sea Urchin Larva Photosensory System: Insights Into the Evolution of a Go-Opsin Positive Neuronal Population
Authors: Cocurullo Maria , Paganos Periklis , Annunziata Rossella , Voronov Danila , Arnone Maria Ina
Published: August 2023

The ability to perceive and respond to light stimuli is fundamental not only for spatial vision, but also to many other light mediated interactions with the environment. In animals, light perception is performed by specific cells known as photoreceptors and, at molecular level, by a group of GPCRs known as Opsins. Sea urchin larvae possess a group of photoreceptor cells (PRCs), deploying a Go-Opsin (Opsin3.2), which have been shown to share transcription factors and morphology with PRCs of the ciliary type, contributing to raising new questions on how this sea urchin larva PRC is specified and whether it shares a common ancestor with ciliary PRCs or it evolved independently through convergent evolution.
To answer these questions, we combined immunohistochemistry and fluorescent in situ hybridization to investigate how the Opsin3.2 PRCs develop in the sea urchin Strogylocentrotus purpuratus larva. Subsequently, we applied single cell transcriptomics to investigate the molecular signature of the Sp-Opsin3.2 cells, and show that they deploy an ancient regulatory program responsible for photoreceptors specification. Finally, we also discuss the possible functions of the Opsin3.2 cells based on their molecular fingerprint, and we suggest that they are involved in a variety of signaling pathways, including those entailing the thyrotropin-releasing hormone.
Diagnosing ASEAN – Part 2: Theory Application
Authors: Rautakivi Tuomo , Yolles Maurice
Published: August 2023

A regional organisation (RO) is a group of states that, through the formation of mutual relation-ships, work together for shared regional goals such as economic growth, social welfare, security, and democracy. The Association of South East Asian Nations (ASEAN) is one such organisation, of interest because of its operative paradoxes. However, current theory to study ROs is both fragmented across the field of study, and inadequate. Taking ROs to be complex adaptive systems, diagnosing ROs requires theory that can to explore their hidden aspects. The metacybernetics framework enables the creation of a critical realism configurative a-priori inquiry approach to theory building, the configurations providing coordinative schemas able to respond to predefined complex modelling needs. To analyse ROs using metacybernetics, we offer a derivative schema, Cultural Agency Theory (CAT). Currently this is limited to exploring modes of information acquisition processes through cognitive style, and until now has had no inherent mechanism to explore social relationships as is required to explore ROs. To enable CAT to explore such relationships, we configure the Tönnies social organisation paradigm for CAT. Mindset Agency Theory (MAT) is a specific elaboration of CAT, and creates an empirical setting for the set of formative traits that de-fine an RO character. A related derivative of CAT is that of Multiple Identity Theory (MIT) which enables organisational pathologies to be explored in terms of identity conflicts. Thes multifaceted paradigm provides a relatively simple approach to the RO diagnosis, in particular in terms of stability/coherence. This paper is in two parts. In this part 1, the CAT theory will be further developed through the joint configuration of Tönnies social organisation paradigm allowing its pathologies to be diagnosed. In part 2 of the paper, the theory will be applied to ASEAN and the diagnosis will show that it is an inherently incoherent organisation
Exposure of Cultured Hippocampal Neurons to the Mitochondrial Uncoupler CCCP Induces a Rapid Growth of Dendritic Processes
Authors: Kushnireva Lilia , Korkotian Eduard , Segal Menahem
Published: August 2023

A major route for influx of calcium ions into neurons uses the STIM-Orai1 voltage-independent channel. Once cytosolic calcium ([Ca2+]i) elevates, it activates mitochondrial and endoplasmic calcium stores, to affect downstream molecular pathways. In the present study we employed a novel drug, Carbonyl Cyanide Chlorophenylhydrazone (CCCP), a mitochondrial uncoupler, to explore the role of mitochondria in cultured neuronal morphology. CCCP caused a sustained elevation of [Ca2+]i and, quite surprisingly, a massive increase in density of dendritic filopodia and spines in the affected neurons. This morphological change can be prevented in cultures ex-posed to calcium-free medium, to Orai1 antagonist 2APB, or to cells transfected with domi-nant-negative Orai1 plasmid. It is suggested that CCCP activates mitochondria through influx of calcium, to cause a rapid growth of dendritic processes
[Bis(quinoline)palladium (II) Chloride] as an Anticancer Drug Demonstrates Promising Activity on Its Own and in the Presence of 6-Shogaol
Authors: Alam Md Nur , Almoyad Muhammad Ali Abdullah , Yu Jun Qing , Beale Philip , Proschogo Nicholas , Rupon Farjana Akter , Shahriar Masum , Huq Fazlul
Published: August 2023

Synthesis and antitumour activity of a palladium compound, [Bis (quinoline) palladium (II) chloride] (coded as NH1) alone and in combination along with its proposed mechanism of action has been described in the present study. Antitumour activity has been performed in seven different cancer cell lines using colorimetric 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay. The investigated palladium compound demonstrated superiority over clinical standard cisplatin against drug resistant ovarian cancer cell lines. NH1 also demonstrates 4.4 times greater activity than cisplatin against breast cancer model. Binary sequenced combination study showed that NH1 in combination with curcumin is mostly additive to antagonistic. However, combination of NH1 with 6-shogaol demonstrated synergism depending on dose and sequence. Proteomic study revealed that changes in expression of 14 proteins were significantly associated with anticancer mechanism of NH1. In vivo anticancer activity of NH1 at a dose of 0.75 mg/kg was also evaluated using Erlich Ascites Carcinoma (EAC) cell lines in Swiss-albino mice model. Preliminary toxicity study in Swiss-albino mice proved that NH1 is comparatively less toxic at both of the administered doses, either 2.5 mg/kg or 5 mg/kg. However, cisplatin demonstrated significant toxicity at both of the administered doses. Biochemical investigations also supported that NH1 demonstrated lesser toxicity profile towards liver or kidney compared to clinical standard cisplatin.
Edge Computing Systems for Streaming Video Analytics : Trail Behind and the Paths Ahead
Authors: Ravindran Arun A
Published: August 2023

The falling cost of cameras, the advancement of AI based computer vision algorithms, and powerful hardware accelerators for deep learning have enabled wide-spread deployment of surveillance cameras with the ability to automatically analyze streaming video feeds to detect events of interest. While streaming video analytics is currently largely done in the cloud, edge computing has emerged as a pivotal component due to its advantages of low latency, reduced bandwidth, and enhanced privacy. However, a distinct gap persists between the state-of-the-art computer vision algorithms, and successful practical implementation of edge-based streaming video analytics systems. This paper presents a comprehensive review of more than 30 research papers published over the last 6 years on edge video analytics systems. The papers are analyzed across 17 distinct dimensions. Unlike prior reviews, we examine each system holistically, identifying their strengths and weaknesses in diverse implementations. Our findings suggest that certain critical topics necessary for the practical realization of edge video analytics systems are not sufficiently addressed in current research. Based on these observations, we propose research trajectories across short, medium, and long term horizons. Additionally, we explore trending topics in other computing areas that can significantly impact the field of edge video analytics.
Oxidative Stress and Lipid Profile during Acute Phase of COVID-19 Infection and after Recovery: Evidence of a Sequel in LDL
Authors: Lotfollahi Zahra , Neres Luana dos S. , Mathias Andressa F. , De Freitas Maria C.P. , Varella Ana C. , Lotufo Paulo A , Goulart Alessandra C. , Damasceno Nágila R.T. , Andrade Juliana B. de , Fock Ricardo A. , Figueiredo Neto Antonio M.
Published: August 2023

This study aimed to investigate the atherogenicity (quality) of LDL particles in patients with acute and recovered from COVID-19 infection. The participants were adults, aged 18 years or older of both sexes. Those with positive RT-PCR results at baseline were included in the Acute COVID-19 group (n=33), and those with negative RT-PCR six months after acute infection, were included in the Recovered COVID-19 group (n=30). The LDL quality was evaluated using three validated methods: Z-scan, UV-visible spectroscopy, and Lipoprint. The Recovered COVID-19 group showed significantly higher numbers of large LDL particles (less atherogenic) than the Acute COVID-19 group (P<0.05). We also found that COVID-19 infection was associated with the oxidative modification of LDL particles. D-dimer and CRP levels were correlated with Z-scan results and antioxidant-amount estimate. Moreover, we noticed that the infection left a sequel in LDL quality, even after six months of recovery. These findings highlight the importance of monitoring lipids during and after recovery from COVID-19 infection, and their potential deleterious effect on the LDL profile might correlate with the progression of atherosclerosis and poor clinical outcomes.
Time Series Electrical Motor Drives Forecasting based on Simulation Modeling and Bidirectional Long-Short Term Memory
Authors: Le Thi-Thu-Huong , Oktian Yustus Eko , Jo Uk , Kim Howon
Published: August 2023

Accurately predicting electrical signals of three-phase Direct Torque Control (DTC) induction motors is crucial for optimal motor performance and effective condition monitoring. However, multiple DTC motors’ complexity and operating conditions’ variations pose challenges for traditional prediction methods. To overcome these challenges, we propose an innovative approach that combines Fast Fourier Transform (FFT) to transform electrical motor simulation data and a Bi-directional Long Short-Term Memory (Bi-LSTM) network to forecast processed motor data. By transforming the DTC induction motor signals from the time domain to the frequency domain, we enhance the capability of learning models to capture subtle differences and generate various input features. The Bi-LSTM model effectively captures both forward and backward dependencies in time series data, enabling accurate prediction of electrical signals. We evaluate the proposed approach using our simulated dataset and compare the proposed method to a state-of-the-art model, the Gated Recurrent Unit (GRU), demonstrating its effectiveness in improving the accuracy and reliability of induction motor signals forecasting. The finding provides valuable insights for advancing motor control and operation in industrial applications.
Bacillus Subtilus Synthesized Iron Oxide Nanoparticles Induced Protein and Gene’s Expression Profile of Rice (Oryza sativa L.) Plant
Authors: Khan Sehresh , Akhtar Nazneen , Rha Eui Shik , Rehman Shafiq Ur , Jamil Muhammad
Published: August 2023

Arsenic (As) is the most poisonous metalloid with negative effects on the plant and ecosystem. In the current study, observed that iron oxide nanoparticles (NPs) affected the molecular features of rice under arsenic (As) stress. The result showed that 1-D electrophoresis (SDS-PAGE) demonstrated variable expression of protein profiles. The polypeptide pattern was altered in the SDS-PAGE under arsenic stress. The findings also showed that low molecular weight polypeptides (MTs) expression was maximum under arsenic stress, while iron oxide NPs decreased the expression of these polypeptides and reduced the arsenic stress. RT-PCR was used to analyse the expression of the MYB transcriptional factor, WRKY, and OsGF14 genes in the rice plant. The results showed that these genes were up-regulated in response to arsenic stress, iron oxide NPs reduced arsenic stress, and Myeloblastosis (MYB), WRKY, and OsGF14 genes had very low expression levels. Our work showed that iron oxide nanoparticles (NPs) not only reduced the effects of arsenic stress but also decreased the expression of stress-related genes and metallothioneins (MTs).
Firefighters’ Suggestions to Improve Wildfire Management in Portugal
Authors: Leone Vittorio , Elia Mario , Lovreglio Raffaella , Lovreglio Julian Lovreglio , Correia Fernando , Tedim Fantina
Published: August 2023

As a follow-up to previously published research, this paper examines the responses of a group (n=185) of professional and volunteer firefighters directly involved in fighting extreme wildfire events of the 2017 summer season in Portugal. The data used in this research stem from two open-ended questions in response to a web-based survey: i) lessons learned and ii) proposals for improving the Civil Protection service. The replies were qualitatively examined. Participants exhibit incomplete awareness of extreme wildfires, and their only answers are i) the improvement of both the current organization and the technical and human resources of the suppression model (question 1), and ii) the increase in human and material resources, the single command, the in-dependence from Civil Protection and the valorization of experience, as the main aspects for the improvement of Civil Protection (question 2). Little attention is given to prevention and to the concept of control capacity, respectively. The answers to both questions showcase scarce knowledge of the paradigm shift in reference to the prevention model. The ratios of missing re-plies to both questions were 32.43% and 47.57%, respectively. The work stands out for its novelty and originality, as to our knowledge there is a total lack of similar works in all European Union literature.
China in the Renewable Energy Era: What Has Been Done and What Remains to Be Done
Authors: Ekonomou George , Menegaki Angeliki N
Published: August 2023

Climate change refers to a wide range of changes due to unstructured economic and human activities that impact the well-being status of all living and non-living things. Many adaptation and mitigation strategies focus on climate change solutions, at the center of which is the replacement of fossil fuels or other conventional energy sources with renewables. Mainly this is a contemporary issue for economies that seek ways to grow sustainably, such as developing countries. The purpose of the present study is to review how these renewable sources might have brought benefits for environmental improvement efforts within intense economic activities. Our effort targets the case of China since its efforts for transmission to a low-carbon country attract the world's research interest, given its significance in the global economic system. Mainly, this study’s attempt is based on searching relevant literature for potential changes in limiting greenhouse and carbon dioxide emissions toward China’s economic development status. The results of this study aim to become a valuable reference for further elaboration in light of climate change strategies with measurable outcomes in the growth process.
Analysing the Relationship between Proximity to Transit Stations and Local Living Patterns: A Study of Human Mobility within a 15-Minute Walking Distance through Mobile Location Data
Authors: Chuang I-Ting , Beattie Lee , Feng Lei
Published: August 2023

Urban planning and transportation policies are vital to creating sustainable and liveable cities. Transit-orientated development (TOD) has emerged as a prominent approach, emphasising the establishment of neighbourhoods with convenient access to public transportation and promoting car-free lifestyles. TOD initiatives aim to improve public transit efficiency, reduce dependence on private vehicles, and encourage walkability and connectivity within communities. By prioritising TOD, cities can effectively address transportation challenges, alleviate congestion, mitigate carbon emissions, and improve residents' overall quality of life. This research paper investigates the connection between proximity to transit stations and local living habits. Specifically, it examines the human mobility of residents living within a 15-minute walk distance of transit stations in Auckland, New Zealand, a car-dependent city striving to transition into a sustainable TOD model. The objective is to determine whether people living near transit stations are more inclined to participate in local activities and exhibit a higher proportion of trips within a radius of 15 minutes. The results illustrate that approximately 54% of the residents show dominant local mobility patterns. However, only about 16 stations out of 34 show their local residents have prominent collective 'local' travel patterns. By understanding the connection between proximity to transit stations and local mobility patterns, urban planners and designers can make informed decisions to improve the built environment and optimise the land use mix. This research offers insights to support the creation of vibrant and people-centric urban environments, facilitating the development of sustainable and liveable cities.
Geochemistry and Mineralogy of the Clay-Type Ni-Laterite Deposit of San Felipe (Camagüey, Cuba)
Authors: Tauler Esperança , Galí Salvador , Villanova de Benavent Cristina , Chang-Rodriguez Alfonso , Nuñez-Cambra Kenia , Khazaradze Giorgi , Proenza Joaquin Antonio
Published: August 2023

The Ni-laterite deposit at the San Felipe plateau, located 30 km northwest of Camagüey, in cen-tral Cuba, is the best example of a clay-type deposit in the Caribbean region. San Felipe resulted from weathering of mantle peridotites of the Cretaceous Camagüey ophiolites. In this study, a geochemical and mineralogical characterization of two profiles (83 and 84) from the San Felipe deposit has been performed by XRF, ICP-MS, quantitative XRPD, oriented aggregate mount XRD, SEM, FE-SEM and EMPA. Core 83 with a length of 23 m, and drilled in the central part of the plateau, presents a notable concentration of cryptocrystalline quartz fragments and a rather poor content in NiO, averaging 0.87% wt. Core 84, which is 12 m long, and drilled at the border of the plateau, lacks silica fragments and presents a higher NiO content, averaging 1.79 %wt. The smectite structural formulae reveal that they evolve from trioctahedral to dioctahedral towards the top of the laterite profiles. Quantitative XRD analyses indicate that smectite is a dominant Ni bearing phase, accompanied by serpentine and minor chlorite. Serpentine, as smectite, is en-riched in the less soluble elements Fe3+, Al and Ni towards the top of the profiles. Core 83 seems to have been affected by collapses, replenishments, whereas core 84 may have remained undis-turbed.
Perturbation-Based Non-Perturbative Method
Authors: Dai Wu-Sheng
Published: August 2023

This paper presents a non-perturbative method for solving eigenproblems. This method applies to almost all potentials and provides non-perturbative approximations for any energy level. The method converts an eigenproblem into a perturbation problem, obtains perturbation solutions through standard perturbation theory, and then analytically continues the perturbative solution into a non-perturbative solution.
Title: Prevention of COVID-19. Part 1: Non-pharmacological Strategies and Interventions for Effective Disease Control
Authors: Aho Glele Ludwig Serge
Published: August 2023

(1) Background: The COVID-19 pandemic had a devastating impact on the world, causing widespread illness and death. It is essential to focus on prevention strategies to limit the spread of the disease. Despite the advent of vaccines, maintaining a vigilant approach to prevention remains paramount. While vaccines are essential, they do not guarantee absolute immunity, and their protective effect may diminish over time; (2) Methods: We reviewed effective strategies to prevent COVID-19 transmission. We focused on me-ta-analyses (MA), literature reviews (LR) and the health care context. Various prevention measures and interventions were reviewed. Both es-tablished practices and unresolved issues were considered; (3) Results: Standard precautions (SP) as the cornerstone of infection control, with hand hygiene and mask use as key components. Debate about the relative importance of droplet versus aerosol transmission led to differences in recommendations between agencies at the onset of the pandemic. We have clarified the role of personal protective equipment (PPE), including eye protection. The effectiveness of masks in pre-venting transmission is reviewed. The use of surgical masks is recommended to prevent droplet transmission, while eye protection is recommended in combination with masks. Although data show some risk reduction, the clear superiority of N95/FFP2 over surgical masks remains unproven. In terms of room occupancy, ventilation is critical in reducing the risk of transmission in poorly ventilated environments. The use of negative pressure isolation rooms (NPIRs) is being investigated. The presence of viral RNA on surfaces does not necessarily indicate infectivity, and the risk of transmission by surface contact is low if surfaces are properly maintained and hand hygiene is practised regularly. Testing for SARS-CoV-2 in asymptomatic persons in healthcare settings may help prevent transmission; (4) Conclusions: Prevention of SARS-CoV-2 transmission requires a multifaceted approach, including reducing particle emissions from infected persons by wearing masks, eliminating aerosols by ventilation, ensuring physical separation, and protecting exposed persons with masks and eye protection.
Clinical and Optical Coherence Tomography Evidence of Aqueous Humor Flow from the Suprachoroidal Space to Conjunctival Lymphatics
Authors: Kumar Vinod , Bezzabotnov Andrey Igorevich , Rustamova Zarina Shaykuliyevna , Dushina Galina Nikolaevna , Abu Zaalan Kamal Abdulmuhsen , Shradqa Ahmad Saleh Soliman , Frolov Mikhail Aleksandrovich
Published: August 2023

A surgical technique aimed at rerouting aqueous humor (AH) outflow from the anterior chamber to the suprachoroidal space (SCS) without performing surgical cyclodialysis was developed to decrease intraocular pressure (IOP) in glaucoma patients. The surgical outcomes of the technique were retrospectively analyzed in fifty-eight patients. At 6, 12, and 24 months, the mean IOP decreased from 27.8±8.3 to 14.95.0 mmHg, median 15.0 (25th percentile (p25 )13.0; 75th percentile (p75) 18.0), and 15.23.3 mmHg; hypotensive medication use reduced from median (p25; p75) 3 (2; 3) to 0 (0; 2), 0 (0; 2), and 0 (0; 1.5), and complete success was achieved in 62.8%, 51.2%, and 32.5% cases, with partial success in 28.4%, 44.2%, and 62.5% cases, respectively. Eight cases (13.8%) presented unsatisfactory outcomes. Intra- and postoperative complications were few and manageable. No bleb formation was observed in any of the cases. In 50% of cases, conjunctival lymphatic vessels (CLVs) developed following surgery in superior quadrants. The technique is safe and effective in providing a long-term decrease in IOP and hypotensive medication use. It was hypothesized in this study that the IOP decrease occurred as a result of enhanced AH outflow from the SCS to CLVs through intrascleral microchannels connecting the SCS to CLVs.