bluuebunny/crossref_metadata_2025 huggingface dataset:
Adaptive Unsupervised Learning-Based 3D Spatiotemporal Filter for Event-Driven Cameras
Authors: Miled Meriem Ben , Liu Wenwen , Liu Yuanchang
Published: February 2024

In the evolving landscape of robotics and visual navigation, event cameras have gained important traction, notably for their exceptional dynamic range, efficient power consumption, and low latency. Despite these advantages, conventional processing methods oversimplify the data into 2 dimensions, neglecting critical temporal information. To overcome this limitation, we propose a novel method that treats events as 3D time-discrete signals. Drawing inspiration from the intricate biological filtering systems inherent to the human visual apparatus, we have developed a 3D spatiotemporal filter based on unsupervised machine learning algorithm. This filter effectively reduces noise levels and performs data size reduction, with its parameters being dynamically adjusted based on population activity. This ensures adaptability and precision under various conditions, like changes in motion velocity and ambient lighting. In our novel validation approach, we first identify the noise type and determine its power spectral density in the event stream. We then apply a one-dimensional discrete fast Fourier transform to assess the filtered event data within the frequency domain, ensuring that the targeted noise frequencies are adequately reduced. Our research also delved into the impact of indoor lighting on event stream noise. Remarkably, our method led to a 37% decrease in the data point cloud, improving data quality in diverse outdoor settings.
DNA-PKcs Phosphorylates Cofilin2 to Induce Endothelial Dysfunction and Microcirculatory Disorder in Endotoxemic Cardiomyopathy
Authors: Du Yingzhen , Zhu Pingjun , Li Yukun , Yu Jiachi , Xia Tian , Chang Xing , Zhu Hang , Li Ruibing , He Qingyong
Published: February 2024

The presence of endotoxemia is strongly linked to the development of endothelial dysfunction and disruption of myocardial microvascular reactivity. These factors play a crucial role in the progression of endotoxemic cardiomyopathy. Sepsis-related multiorgan damage involves the participation of the catalytic subunit of DNA-dependent protein kinase (DNA-PKcs). However, whether DNA-PKcs contributes to endothelial dysfunction and myocardial microvascular dysfunction during endotoxemia remains unclear. Hence, we conducted experiments in mice subjected to lipopolysaccharide (LPS)-induced endotoxemic cardiomyopathy, as well as assays in primary mouse cardiac microvascular endothelial cells. Results showed that endothelial-cell-specific
DNA-PKcs
ablation markedly attenuated DNA damage, sustained microvessel perfusion, improved endothelial barrier function, inhibited capillary inflammation, restored endothelium-dependent vasodilation, and improved heart function under endotoxemic conditions. Furthermore, we show that upon LPS stress, DNA-PKcs recognizes a TQ motif in cofilin2 and consequently induces its phosphorylation at Thr
25
. Phosphorylated cofilin2 shows increased affinity for F-actin and promotes F-actin depolymerization, resulting into disruption of the endothelial barrier integrity, microvascular inflammation, and defective eNOS-dependent vasodilation. Accordingly, cofilin2-knockin mice expressing a phospho-defective (T25A) cofilin2 mutant protein showed improved endothelial integrity and myocardial microvascular function upon induction of endotoxemic cardiomyopathy. These findings highlight a novel mechanism whereby DNA-PKcs mediates cofilin2
Thr25
phosphorylation and subsequent F-actin depolymerization to contribute to endotoxemia-related cardiac microvascular dysfunction.
Haptic Sensing and Feedback Techniques toward Virtual Reality
Authors: Shi Yuxiang , Shen Guozhen
Published: February 2024

Haptic interactions between human and machines are essential for information acquisition and object manipulation. In virtual reality (VR) system, the haptic sensing device can gather information to construct virtual elements, while the haptic feedback part can transfer feedbacks to human with virtual tactile sensation. Therefore, exploring high-performance haptic sensing and feedback interface imparts closed-loop haptic interaction to VR system. This review summarizes state-of-the-art VR-related haptic sensing and feedback techniques based on the hardware parts. For the haptic sensor, we focus on mechanism scope (piezoresistive, capacitive, piezoelectric, and triboelectric) and introduce force sensor, gesture translation, and touch identification in the functional view. In terms of the haptic feedbacks, methodologies including mechanical, electrical, and elastic actuators are surveyed. In addition, the interactive application of virtual control, immersive entertainment, and medical rehabilitation is also summarized. The challenges of virtual haptic interactions are given including the accuracy, durability, and technical conflicts of the sensing devices, bottlenecks of various feedbacks, as well as the closed-loop interaction system. Besides, the prospects are outlined in artificial intelligence of things, wise information technology of medicine, and multimedia VR areas.
Hyperbaric Oxygen Boosts Antitumor Efficacy of Copper-Diethyldithiocarbamate Nanoparticles against Pancreatic Ductal Adenocarcinoma by Regulating Cancer Stem Cell Metabolism
Authors: Xiao Chen , Li Jiayuan , Hua Ao , Wang Xing , Li Shiyou , Li Zheng , Xu Chen , Zhang Zhijie , Yang Xiangliang , Li Zifu
Published: February 2024

Cuproptosis-based cancer nanomedicine has received widespread attention recently. However, cuproptosis nanomedicine against pancreatic ductal adenocarcinoma (PDAC) is severely limited by cancer stem cells (CSCs), which reside in the hypoxic stroma and adopt glycolysis metabolism accordingly to resist cuproptosis-induced mitochondria damage. Here, we leverage hyperbaric oxygen (HBO) to regulate CSC metabolism by overcoming tumor hypoxia and to augment CSC elimination efficacy of polydopamine and hydroxyethyl starch stabilized copper-diethyldithiocarbamate nanoparticles (CuET@PH NPs). Mechanistically, while HBO and CuET@PH NPs inhibit glycolysis and oxidative phosphorylation, respectively, the combination of HBO and CuET@PH NPs potently suppresses energy metabolism of CSCs, thereby achieving robust tumor inhibition of PDAC and elongating mice survival importantly. This study reveals novel insights into the effects of cuproptosis nanomedicine on PDAC CSC metabolism and suggests that the combination of HBO with cuproptosis nanomedicine holds significant clinical translation potential for PDAC patients.
Fast and Adaptive Multi-Agent Planning under Collaborative Temporal Logic Tasks via Poset Products
Authors: Liu Zesen , Guo Meng , Bao Weimin , Li Zhongkui
Published: February 2024

Efficient coordination and planning is essential for large-scale multi-agent systems that collaborate in a shared dynamic environment. Heuristic search methods or learning-based approaches often lack the guarantee on correctness and performance. Moreover, when the collaborative tasks contain both spatial and temporal requirements, e.g., as linear temporal logic (LTL) formulas, formal methods provide a verifiable framework for task planning. However, since the planning complexity grows exponentially with the number of agents and the length of the task formula, existing studies are mostly limited to small artificial cases. To address this issue, a new planning paradigm is proposed in this work for system-wide temporal task formulas that are released online and continually. It avoids two common bottlenecks in the traditional methods, i.e., (a) the direct translation of the complete task formula to the associated Büchi automaton and (b) the synchronized product between the Büchi automaton and the transition models of all agents. Instead, an adaptive planning algorithm is proposed, which computes the product of relaxed partially ordered sets (R-posets) on-the-fly and assigns these subtasks to the agents subject to the ordering constraints. It is shown that the first valid plan can be derived with a polynomial time and memory complexity with respect to the system size and the formula length. Our method can take into account task formulas with a length of more than 400 and a fleet with more than 400 agents, while most existing methods fail at the formula length of 25 within a reasonable duration. The proposed method is validated on large fleets of service robots in both simulation and hardware experiments.
Selecting Monoclonal Cell Lineages from Somatic Reprogramming Using Robotic-Based Spatial-Restricting Structured Flow
Authors: Chen Xueping , Fan Ke , Lu Jun , Zhang Sheng , Dong Jianhua , Qin Jisheng , Fan Weihua , Wang Yan , Zhang Yiyuan , Peng Huo , Zhang Zhizhong , Sun Zhiyong , Yu Chunlai , Xiong Yucui , Song Yan , Ye Qingqing , Mai Shiwen , Wang Yuanhua , Wang Qizheng , Zhang Fengxiang , Wen Xiaohui , Zhou Tiancheng , Han Li , Long Mian , Pan Guangjin , Burke Julian F. , Zhang Xiao
Published: February 2024

Somatic cell reprogramming generates induced pluripotent stem cells (iPSCs), which serve as a crucial source of seed cells for personalized disease modeling and treatment in regenerative medicine. However, the process of reprogramming often causes substantial lineage manipulations, thereby increasing cellular heterogeneity. As a consequence, the process of harvesting monoclonal iPSCs is labor-intensive and leads to decreased reproducibility. Here, we report the first in-house developed robotic platform that uses a pin-tip-based micro-structure to manipulate radial shear flow for automated monoclonal iPSC colony selection (~1 s) in a non-invasive and label-free manner, which includes tasks for somatic cell reprogramming culturing, medium changes; time-lapse-based high-content imaging; and iPSCs monoclonal colony detection, selection, and expansion. Throughput-wise, this automated robotic system can perform approximately 24 somatic cell reprogramming tasks within 50 days in parallel via a scheduling program. Moreover, thanks to a dual flow-based iPSC selection process, the purity of iPSCs was enhanced, while simultaneously eliminating the need for single-cell subcloning. These iPSCs generated via the dual processing robotic approach demonstrated a purity 3.7 times greater than that of the conventional manual methods. In addition, the automatically produced human iPSCs exhibited typical pluripotent transcriptional profiles, differentiation potential, and karyotypes. In conclusion, this robotic method could offer a promising solution for the automated isolation or purification of lineage-specific cells derived from iPSCs, thereby accelerating the development of personalized medicines.
Shock Metamorphism of Lunar Minerals
Authors: Zhu Jianxi , Yang Hongmei , Li Shan , Lin Xiaoju , Xian Haiyang , Yang Yiping , Xi Jiaxin
Published: February 2024

Impact events have played a crucial role in the formation and evolution of the Moon, as evidenced by the numerous of impact craters on its surface, indicating a long history spanning over 4 billion years characterized by numerous such occurrences. As the moon evolved, it is likely that the early impact craters formed by the bombardment event have subsequently been overlaid by later impacts. However, limited samples and research methods have hindered the discovery of evidence of impacts on the lunar surface. Therefore, this article gives an overview of the study of shock metamorphism in lunar minerals, some new progress in the past 2 decades is reviewed, and the implications of these new discoveries for the composition of the Moon’s crust, history of impact, and the Moon’s evolution are discussed. In addition, some of the issues and limitations that have arisen in the study of lunar shock metamorphism are also summarized. Given the difficulties in the studying of lunar high-pressure minerals and shock metamorphic microstructure using traditional optical microscope, we suggest that the latest nanomineralogical research methods, such as focused ion beam, electron backscatter diffraction, atom probe tomography, Raman spectroscopy, and 3-dimensional electron diffraction, are rational and essential to address the challenges associated with the research on lunar shock metamorphism.
CAPS-SSR Markırları Kullanılarak Pamuk Kromozom Subsitüsyon Hatlarının Belirlenmesi
Authors: AYDIN Adnan , KARACA Mehmet
Published: February 2024

Pamuk (Gossypium L.) dünya genelinde tekstil endüstrisi için en önemli doğal lif kaynağı ve aynı zamanda önemli bir yağ bitkisidir. Pamuk lifleri tekstil için ana kaynak olmakla birlikte lifi, tohumu ve bitkisi ev izolasyon materyali olarak enerji tasarrufunda, proteince zengin hayvan yemi, yağı gıda olarak insan beslenmesinde, bitkisi ise altlık ve biyomateryal olarak ta değişik kullanım alanlarına sahiptir. Pamukta ıslah çalışmaları genellikle verim ve lif kaliteleri yönünden seçkin genotipler arasında yapılan melezlemeler ve daha önce geliştirilmiş çeşitlerden seleksiyon çalışmalarına dayanmaktadır. Ancak pamuk ıslah programları, kültür çeşitlerinde dar olan genetik çeşitlilikten olumsuz yönde etkilenmektedir. Bu durum araştırıcıları türler-arası melezleme ile introgresyona teşvik etmiştir. Türler-arası melezlemelerde kompleks antagonistik ilişkiler, farklı ploidi seviyelerinden dolayı sitogenetik farklılıklarla translokasyonlar ve inversiyonlar, kromozom yapısal farklılıkları, linkaj etkisi ile arzu edilmeyen tarımsal özelliklerin varlığı, rekombinasyonun azlığı, erken generasyonlarda introgresyonun kaybolması, kısırlık, Muller-Dobzhansky kompleksi nedeni ile ölümcül epistatik interaksiyonlar ve Mendel açılımının oluşmaması gibi nedenlerden dolayı sorunlar yaşanmaktadır. Kromozom substitüsyon hatlarının kullanılması ile yukarıda sözü edilen türler-arası melezlemelerdeki olumsuzluklar ortadan kaldırılabilmektedir. Bu çalışmada 17 kromozom substitüsyon hattının tanımlanması için genik CAPS-SSR markırları kullanılmıştır. Toplamda 11 CAPS-SSR markırı ve 16 restriksiyon enzimi kullanılmıştır. Bu bağlamda 11 monomorfik olan SSR markırı CAPS-SSR yöntemi ile 9 polimorfik markır olarak tespit edilmiştir. Sonuç olarak CAPS-SSR markır yöntemi kullanılarak kromozom substitüsyon hatlarının kromozom lokasyonlarının tespit edilebileceği sonucuna varılmıştır.
ANALISIS PENGEMBANGAN KARIR ASN YANG TERDAMPAK PERAMPINGAN BIROKRASI TERHADAP KEBIJAKAN PENYETARAAN JABATAN STUKTURAL DI PEMERINTAH PROVINSI SUMATERA BARAT
Authors: Elfira Sari Roza  , Yulihasri  , Laura Syahrul
Published: February 2024

This research aims to determine the career development of ASNs who are affected by the equalization of Structural Positions in the government of West Sumatra Province. The type of research used was qualitative research conducted on ASN Government of West Sumatra Province. This research was carried out by selecting 8 informants who were affected by the Bureaucratic Streamlining policy in the West Sumatra Provincial Government. The data collection technique used in this research was in-depth interviews with informants. The research results show that the career development of ASNs affected by bureaucratic downsizing is the same as Functional ASNs. However, there are obstacles in career development because there are position maps for ASN that are not appropriate and do not have work items in the work organization. This has an impact on ASN's career, causing them to be unable to obtain credit points for promotion and their career stalls until retirement.
IMPROVING VOCABULARY ABILITY BY USING GAME APPLICATION (COC)
Authors: Zuhriyah Aminatuz
Published: February 2024

The problems of this research were how to improve vocabulary using game application (COC) andhow to motivate the students to apply it in their d English. The research was guided by a conceptualframework leading to the using game aplication through peer work to improve their motivation to speakEnglish during the process of classroom communication interaction. The research type was an actionresearch. The subject consisted of 20 students of the third grade of Islamic Elementary School DarutTaqwa in 2016-2017 academic years. The research data were collected using test (test after first treatmentand test after the second treatment), observation for collecting data on the students’ motivation inimproving vocabulary ability using series pictures. The Data on vocabulary ability using game application(COC) were analyzed using the descriptive and statistic analysis, to know the improvement in meanstudents after the first cycle and the second cycle. Based on the first cycle, the students’ average was 67.8,then, on the second treatment, the students’ average increase to be 78.8. It can conclude that teachingvocabulary using game application can improve students’ vocabulary ability.
Struktur Modal, Ukuran Perusahaan Dan Nilai Perusahaan: Data Dari Indonesia
Authors: Nuzil Nur Rohmad
Published: February 2024

Penelitian ini dilakukan pada perusahaan Manufaktur yang terdaftar di Bursa Efek Indonesia periode 2010 hingga 2014. Sampel penelitian ini sebanyak 144 perusahaan, dipilih dengan menggunakan metode purposive sampling dengan kriteria tertentu sehingga diperoleh jumlah sampel sebanyak 69 perusahaan. Teknik pengujian data menggunakan analisis phat. Hasil pertama ukuran perusahaan berpengaruh positif dan signifikan terhadap struktur modal, kedua ukuran perusahaan berpengaruh signifikan terhadap nilai perusahaan, ketiga struktur modal terhadap nilai perusahaan memiliki pengaruh positif dan signifikan, keempat ukuran perusahaan terhadap nilai perusahaan melalui struktur modal memiliki pengaruh positif. dan pengaruh yang signifikan, tata kelola hubungan antara struktur modal dan nilai perusahaan menunjukkan hubungan yang positif dan signifikan
KEBIJAKAN REGULATIF PEMERINTAH DAERAH TENTANG PEMBERDAYAAN PEREMPUAN DAN PERLINDUNGAN ANAK
Authors: Khoirul Huda
Published: February 2024

Tindak kekerasan terhadap perempuan dan anak merupakan salah satu bentuk pelanggaran hak asasi manusia (HAM). Meskipun banyak upaya telah dilakukan oleh pemerintah daerah, seperti penyusunan Rencana Aksi Nasional Penghapusan Kekerasan Terhadap Perempuan (RAN-PKTP), pembangunan pusat-pusat krisis terpadu di rumah sakit, pembangunan ruang pelayanan khusus (RPK) di Polda dan Polres serta pusat pelayanan terpadu pemberdayaan perempuan dan anak (PPT-PPA) atau di daerah lain disebut P2TP2, dan penyebaran informasi dan kampanye anti kekerasan terhadap perempuan dan anak hingga tingkat Kecamatan dan desa. Namun semua upaya tersebut belum cukup untuk menekan tingginya tindak kekerasan dan eksploitasi terhadap perempuan dan anak. Data yang akurat masih belum tersedia, hal ini dikarenakan banyak kasus-kasus kekerasan dan eksploitasi terhadap perempuan dan anak yang tidak dilaporkan, dengan anggapan bahwa masalah tersebut adalah masalah domestik keluarga (tabu) yang tidak perlu diketahui orang lain selain itu belum ada interching’s antara lembaga dalam penanganan kasus kekerasan perempuan dan anak. Selain itu, masih didapati bahwa Pemberdayaan Perempuan menjadi erat kaitannya dengan perlindungan terhadap anak, ditengah kesibukan orangtua dalam keseharianya berdampak atas peran kaum perempuan dalam pendidikan utama dan pertama bagi anak. Dalam keseharian terdapat fenomena atas pendidikan anak dikeluarga yang lebih sering terjadi secara alamiah tanpa kesadaran perencanaan orang tua, padahal pengaruh dan akibat sangat besar. Jika kita lihat atas rendahnya kualitas hidup dan peran perempuan memiliki kontribusi sangat besar atas pendidikan dan pembentukan karakter anak. Jika ditelaah secara seksama terdapat beberapa masalah utama guna mengurai atas pembangunan pemberdayaan perempuan di daearah, sebagaimana rendahnya kualitas hidup dan peran perempuan, terutama di bidang pendidikan, kesehatan, ekonomi, dan politik. Tidak lepas adanya konstruksi budaya (cultural), structural dan pola rasional sebagaimana pola rasional menjadi Value (Tata Nilai) dalam kehidupan yang dianggap benar dan bersifat subjektif sehingga dalam establishmen gender di daerah melihat dari tiga aspek; cultural, structural dan rasional (Values).
Smart Artificial Intelligence System for Heart Disease Prediction
Authors:   FST – Department of Electronics & Communications Engineering, THE ICFAI University Raipur, Raipur, (CG), India., Nagaiah Dr. K
Published: February 2024

Heart disease playing a vital role in human life, Early detection of heart-disease we can save humans lives and it remains a leading cause of mortality worldwide, making early and accurate prediction of heart disease a critical task for improving patient outcomes. Machine learning has shown great promise in this area, with various models being developed to predict heart disease based on a range of clinical and demographic features. However, there is a growing need for more efficient machine learning models that can accurately predict heart disease while minimizing computational costs, particularly in resource-constrained settings. This research paper proposes an efficient machine learning model for heart disease prediction that combines feature selection, model optimization, and interpretability techniques to achieve accurate predictions with reduced computational complexity. The proposed model utilizes a dataset of clinical and demographic features, such as age, sex, blood pressure, cholesterol levels, and other relevant risk factors, to train a machine learning model using a large real-world dataset. The proposed efficient machine learning model is evaluated on benchmark datasets and compared with other state-of-the-art models in terms of precision, Accuracy, Recall and F1- Score. The results demonstrate the model achieved by superior prediction performance to existing models. Proposed method accuracy increased by 4.8%
A Comprehensive Study on Failure Modes and Mechanisms of Thin Film Chip Resistors
Authors:   Department of Space, U R Rao Satellite Center, Components Quality Control Group, Spacecraft Reliability and Quality Area, Bengaluru (Karnataka), India., Dash Dr. Sarat Kumar , Kamat Sandhya V. ,   Department of Space, U R Rao Satellite Center, Components Quality Control Group, Spacecraft Reliability and Quality Area, Bengaluru (Karnataka), India.
Published: February 2024

Usually, resistors and capacitors populate majority portion of a common electrical circuit, hence miniaturization drive of any package or subsystem starts with miniaturized resistor and capacitors. In this context, thin film chip resistors are the most sought-after components for any electronic/electrical circuit due to their small size, wide range of values, military temperature range, stringent tolerance, low TCR value (recognised with PPM). Increased use of thin-film surface mount chip resistors in military and space application has led to an increased awareness of its potential failure modes in harsh environments. Thin film resistor with lower TCR (5PPM, 10PPM and 25PPM) are most preferable and widely used because of very low temperature coefficient of resistance (TCR) and high resistivity, which suits for high precision measurement application. Low temperature coefficients characteristics of thin film resistors also makes them stable and reliable. Because of their high-volume usage in recent times, failure in thin film resistor with lower TCR/PPM (Parts per Million) are also being seen more predominantly. In general, there are two types of thin film chip resistors, one is discrete type and the other is die type or wire bondable type. Discrete type chip resistor are used directly on cards, whereas, die type/wire bondable type chip resistors used in hermetically sealed HMC packages. Standard failure mode of a resistor is open mode or high resistance mode, whereas short mode failure has a very low probability. Hence in this paper, failure modes and mechanisms of both types of thin film chip resistors, with respect to common failure causes such as EOS, ESD are discussed, which is in continuation to Fabrication/Workmanship related failures discussed in our earlier technical paper. With this, all possible failure modes and mechanism related thin film chip resistors are explained. Discussion in totality always provide in depth analysis on a subject of concern, which in turn facilitate reliability assessment of the component and corrective action, if any.
Intelligent Traffic Management System to Improve Mobility at Ayigya, a Commuter City in Ghana
Authors:   Department of Telecommunication  Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Ansah John Nyamekye , Owusu-Ansah Loretta ,   Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana., Asare-Brown Selikem ,   Department of Telecommunication Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Published: February 2024

The issue of vehicular traffic congestion is faced by most road users all over the world, including Ghana. The complications intensify day in and day out, especially in most urban areas, due to development and urbanization. The exponential increase in road users awakens concern for an effective road transportation system to convey people and goods from one place to another. In an attempt to mitigate the effect of the problem, a system based on a statistically programmed lighting sequence was introduced. This technique served its purpose for some time and was realized to be inefficient because it controlled traffic flow by assigning a fixed amount of green light time to each phase of traffic, which meant that green light time was sometimes given to lanes even when there was no conflicting traffic. The persistent nature of the problem requires the need for an intelligent traffic management system to effectively coordinate the flow of vehicles through the available road network. The proposed system works based on priority queuing, where green and red phases are dynamically assigned to lanes depending on the present traffic volume. The proposed system uses two methods of counting to determine the highest lane count. They are the Digital Vehicle Counting (DVC) and the Manuel Vehicle Counting (MVC) methods. An effective detection zone of sixty meters is declared away from the traffic intersection. The values produced by both counting methods are fed to the Traffic Phase Router (TPR) for comparison. The lane with the highest vehicle counts from both counters is given the chance to leave the intersection. The proposed system was designed using Simulation of Urban Mobility (SUMO) software. Results obtained after the simulation showed that the proposed system performed better than the existing system based on the Key Performance Indicators (KPIs) used.
A Low-Cost Patch-Antenna for Non-Invasive Brain Cell Detection
Authors:   School of Electrical and Electronic Engineering,  Taif University, Al Hawiyah, Alzahrani Abdullah
Published: February 2024

Cancer is one of the most and frequent causes of death around the world. Brain tumor is a critical and dangerous type and has a few difficulties of the techniques used for its detection; it is hard to determine its location when it is small at an early stage. The purpose of this work is to design a patch antenna sensor that is a low-cost microstrip which is suitable to detect a brain cancer tumor. The computer simulation technology CST Studio Suite 3D EM simulation and analysis was used to design a patch antenna with different frequencies of 2.8 GHz, 3.9 GHz, 5GHz and 5.6GHz to diagnose brain tumors. A comparison study between these resonance frequencies (lower-band (L-B) 2 GHz, middle-band (M-B) 3.9-5 GHz and upper-band (U-B) > 5 GHz) has been performed with six layers of brain phantom of fat, dura, brain, skin, CSF (Cerebrospinal Fluid) and skull. The designed patch sensor was assessed on both scenarios without and with a tumor cell on a brain phantom. Three parameters have been observed, the frequency phase shift, the deep amount of reflection return loss and power absorption were used to indicate the presence of the tumor cell. This study concludes that the middle-band (M-B) results in good penetration and better return loss depth around - 20dB. Meanwhile, the higher band provides high resolution of 21 MHz phase-shift but with only depth value of difference return loss of -0.1dB. The proposed work could provide a pathway on the design of patch sensors for biomedical applications.
A Comparative Study of Quality of Service (QoS) Metrics in Reactive Routing Protocols DSR and AODV in Manet
Authors:   Department of Electronics and Telecommunications Engineer, Universidad Nacional de Loja, Ecuador, Department of Electronics and Telecommunications. Loja, Ecuador, Sánchez C Diego A , Yepez John J. Tucker ,   Department of Engineer Specialist in  Communication Networks and Switching Systems, State University of Belgorod Russia, Master in international sciences and diplomacy, Ecuador,  Researcher at the Universidad Nacional de Loja, Department of Telecommunications, Tapia Gabriela C. Durán ,   Department of Architect and Master in Architecture and New Urbanism. Her Professional and Academic Career in  Urban and Architectural. At Universidad Católica de Santiago de Guayaquil, Guayaaquil, Ecuador., López Heydi M. Roa ,   Department of ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Faculty of Natural Sciences and Mathematics, Guayaquil, Ecuador
Published: February 2024

This study is based on the analysis of specific Quality of Service (QoS) metrics. The acquisition of these metrics was carried out by modifying codes in C++ language within the Ns3 network simulation software. The choice of the Random Way Point mobility model contributed to the generation of metrics, which were subsequently used in the evaluation and comparison of two selected protocols, DSR and AODV. These evaluations focused on critical parameters such as Throughput, Delay, and Jitter. To conduct meaningful comparisons, three different scenarios were designed, each characterized by the variation in the number of nodes used. This approach allowed for a comprehensive assessment of the protocols' effectiveness in different MANET network configurations. Ultimately, the selection of the most accurate protocols was based on a detailed analysis of metrics in various MANET scenarios. This process provided a deeper understanding of how DSR and AODV perform in specific environments, enabling the identification of more effective protocols according to the particular demands of each scenario.
Human Face Reconstruction using Divine Proportions and Gestalt for Occluded Video Face Recovery in Forensic Analysis using Deep Learning
Authors:   Department of Computer Science, B.M.S. College for Women, Basavangudi, Bangalore (Karnataka), India, S. Anita  , Dr. S. Prema  ,   Department of Computer Science, Arulmigu Arthanareeswarar Arts and Science College, Thiruchengodu (Tamil Nadu), India.
Published: February 2024

Forensic video analysis has been used in diverse kind of high-profile cases, global discrepancies, and conflict zones. It is a three-phase process of scientific examination, comparison, and evaluation of video in legal matters. Human face reconstruction using deep learning for occluded video face recovery to aid in forensic analysis is the main objective of this paper. Forensic facial reconstruction is a combination of both scientific methods and artistic skill. In this paper, we introduce a method to reconstruct human faces occluded due to short noise innight-time video clips. A skull database is created with unique skull models with varying shapes, forms and proportions. Human body mathematical model biometric using golden ratio algorithm is proposed and used to find the occluded face proportions. Closure principle of gestalt theory of visual perception is used to fill in the missing parts of a face design and to create a whole face image using gan. The proposed model is found to have 50% lesser reduced Median error rate and 20% reduced Stdev than PrNet and 10% lower Mean error rate than 3Dddfav2.
O NARRADO E O VIVIDO: EMPATIA HISTÓRICA E EDUCAÇÃO SOBRE O HOLOCAUSTO NO ENSINO FUNDAMENTAL
Authors: Wolfsohn Andrea Christina , Furlin Marcelo , D’Aurea-Tardeli Denise
Published: February 2024

Estuda-se a educação sobre o holocausto a partir de um olhar interdisciplinar utilizando-se de livros infanto-juvenis de relatos testemunhais, num projeto com estudantes do Ensino Fundamental de modo de modo a gerar a crítica e a reflexão diante de atos de intolerância. O objetivo deste estudo é narrar o vivido e o ensinado, ou seja: refletir sobre a narrativa da geração que me antecedeu, que foi vítima do da perseguição e do Holocausto e descrever um projeto realizado no ensino fundamental, com meus alunos numa escola municipal em Santos, com livros infanto-juvenis de relatos testemunhais do Holocausto. Como método de pesquisa optou-se pela narrativa da minha história de vida. Os resultados apontaram que a história de meus antepassados me conduziram a uma reflexão no meu fazer pedagógico. O que eles viveram, poderia ser evitado por meio da educação por projetos sobre o Holocausto. Ao utilizar-se os livros infanto-juvenis de relatos testemunhais daqueles que fizeram parte dos perseguidos na guerra, os alunos desenvolvem o raciocínio crítico diante da intolerância, da violência, do preconceito e da discriminação de qualquer diferença. Concluí que meu projeto tinha um olhar voltado para a compreensão de que a intolerância fosse banida da vida das pessoas a partir do exemplo de crianças e adolescentes que se fortaleceram, foram resilientes para registrar suas impressões diante de uma sociedade que passivamente aceitou o extermínio de seres humanos.
An Analytical Inquiry into the Impact of International Trade on Poverty Reduction in Nigeria
Authors: Agbarakwe Ugochukwu Henry , Okpe Eugene Abuo
Published: February 2024

This work is propelled by the alarming rate at which poverty has continued to increase, thereby aiding socio-economic challenges in Nigeria. The work through the application of the ARDL and ECM framework of data analysis on secondary data sourced from the Central Bank of Nigeria, calibrated the impact of international trade on poverty reduction in Nigeria from 1981-2021. The result of the study has proven that the relationship between the nation's non-oil export and poverty is negative. However, evidence from the study more so alludes that the country's export of crude oil overtime has not had any meaningful effect of reducing poverty in Nigeria, rather the rate of poverty has continued to rise with the increase in oil exports. Empirical evidence from the study further revealed that Nigeria's imports within the scope of the work has had a significant negative relationship with poverty, which negates the theoretical condition of their expected relationship. Hence, to overturn this positive trend between oil exports and poverty rate, the Nigerian government needs to train and equip the unskilled poor Nigerian with requisite skills and knowledge that would make them gainfully employed in the oil industry, more so the country is admonished to restrict its imports to just commodities that cannot be produced locally.
Expert Opinion on the Prescription Practice of Selective Serotonin Reuptake Inhibitors for Major Depressive Disorder in Indian Settings
Authors: S Manjula , M Krishna Kumar
Published: February 2024

Objective: To gather expert opinions and insights on the prevalence of anxiety and depression, along with prescription trends for different therapeutic options based on escitalopram, in Indian outpatient settings. Methodology: The questionnaire-based survey, comprising 28 questions, collected perspectives of experts across India regarding the prescription practice of selective serotonin reuptake inhibitors (SSRIs) with a special focus on escitalopram for treating major depressive disorder. Additionally, information on the symptoms of major depressive disorder and the age range of those affected by the disorder was also collected. Results: About 53% of the 331 participants reported that behavioral symptoms were the most frequent among depressed patients. Among the various classes of antidepressants, about 86% of the participants indicated SSRIs as their preferred choice for treating depression. In comparison to vilazodone, paroxetine, and sertraline medications, approximately 87% of the respondents favored escitalopram as the ideal option for treating depression. According to 64% of the respondents, the use of escitalopram has led to improvements in 50-75% of patients. Around 74% of the respondents reported a significant correlation between early responders to antidepressant therapies and achieving full remission. About 49% stated that it may take 8 weeks for depressive patients undergoing escitalopram therapy to experience remission. Adverse effects and poor response were highlighted as the reasons for depressive patients transitioning from other SSRI medications to escitalopram by approximately 43% of the respondents. Conclusion: The survey emphasizes the significance of the 8-week regimen of escitalopram in achieving full remission in patients with depression. The majority of respondents underscored the superiority of escitalopram among SSRIs when compared to other options like vilazodone, paroxetine, and sertraline, reaffirming its role as a preferred choice for effective depression treatment.
Deep Neck Infection: A Case Series
Authors: Prawatya Ageng Beta , N Dheo Aliffanandy P. , Salsabila Naura , S Oxa Aqilla Putri , Nadiroh Ulayya Azzah , Adji Iwan Setiawan
Published: February 2024

Background: Deep neck abscess is a collection of pus (pus) in the potential space between the fascia of the deep neck due to spread from various sources of infection, such as teeth, mouth, throat, paranasal sinuses, ears and neck. Various spaces can be a place for deep neck abscesses including the submandibular, peritonsillar, parapharyngeal, retropharyngeal, submental, parotid, anterior visceral, carotid, and masseter spaces. Inflammation or damage to chronic problem teeth can lead to complications of deep neck abscesses. The main complaint that causes sufferers to come to the hospital is dysphagia, which is difficulty swallowing due to the pain felt by the patient. These complaints can also be accompanied by trismus, stridor caused by tracheal compression, to airway obstruction. Purpose: To determine the progressivity of deep neck abscess so that it can provide medical management until operative incision and drainage. Case report: We report 5 cases of deep neck abscess with management according to the progress of each case. Conclusion: The most common cause or etiology that can lead to deep neck abscess is toothache. Management of deep neck abscess, starting with the administration of empirical antibiotics which is the first step to reduce the infection of bacteria that produce beta lactamase. In deep neck abscess, medical therapy can be given in the form of an antibiotic combination of ceftriaxone with metronidazole, or meropenem with metronidazole as well as surgery in the form of incision and drainage. Treatment can be chosen based on the presence or absence of warning signs and signs of complications. Incision and drainage is performed when complaints do not improve after administration of antibiotics, multiple abscesses and airway obstruction that threatens the patient's life.
A ÓTICA DO ENFERMEIRO SOB A PESQUISA EM ENFERMAGEM NA ESTRATÉGIA SAÚDE DA FAMÍLIA, NO MUNICÍPIO DE MACEIÓ/ AL
Authors: Purificação da Silva Santos Adriana , Batista Cassia de Castro Batista , Lira do Nascimento Renata , Coutinho França Suzana Kelly
Published: February 2024

Objetivo: analisar como a pesquisa é vivenciada pelos enfermeiros da Estratégia Saúde da Família. Método: pesquisa com abordagem qualitativa, descritiva e exploratória realizada junto aos enfermeiros do município de Maceió, Alagoas. Resultado: o município consta com 86 enfermeiros na Estratégia, sendo todos do sexo feminino. Desses, 10 foram submetidos a entrevista semiestruturada onde foi possível a elaboração de cinco categorias: a pesquisa e a vivência na Estratégia, a pesquisa e a economia, a pesquisa e a família, a pesquisa e à docência e a pesquisa e o crescimento profissional. Conclui-se que o enfermeiro precisa se apropriar da pesquisa científica e utilizá-la no seu campo de trabalho, principalmente na Saúde Pública, pois grande parte das pesquisas realizadas por estes profissionais ainda estão concentradas na docência, nos cursos de especializações, mestrados e doutorados.
PERCEPÇÃO DOS PROFISSIONAIS DE ENFERMAGEM SOBRE MANEJO DE REAÇÃO INFUSIONAL A ANTINEOPLÁSICOS: ESTUDO QUALITATIVO
Authors: Israel Ana Paula , Daboite de Lima Guilherme , Fagundes Trento Gabriela , Beffart Milena Luisa , Ceolin Teló Fernanda , Eberhardt Thaís Dresch
Published: February 2024

Objetivo: identificar a percepção dos profissionais de enfermagem sobre o manejo de reação infusional imediata a antineoplásicos. Método: Trata-se de um estudo descritivo de caráter exploratório com abordagem qualitativa realizado em um hospital no Rio Grande do Sul. Resultados: Todos os participantes afirmaram saber identificar uma reação infusional. Após a identificação da reação, nota-se que a maioria obedeceu a uma ordem de condutas a serem realizadas. Quanto aos cuidados para prevenção das reações infusionais, a maioria dos participantes mencionou a administração de medicamentos pré-quimioterápicos, como antialérgicos e antieméticos. Conclusão: Os achados demonstram que a maioria dos profissionais sabe reconhecer e manejar, porém há a necessidade de treinamentos e padronização das ações.
ATENDIMENTO ODONTOLÓGICO A PACIENTE COM ENDOCARDITE INFECCIOSA SECUNDÁRIA A STREPTOCOCCUS GORDONII: RELATO DE CASO
Authors: Resende de Almeida Cunha Lara , Alipio da Silva Lima Dayannara , Furtado Silva Daniel , Toscano de Brito Filho Mario , Martins Baeder Fernando Martins Baeder , Medeiros Rodrigues Cardoso Andreia , Hilan Gomes de Lucena Edson , Nathalie Queiroga Serejo Fontes Louise
Published: February 2024

Introdução: A endocardite bacteriana é uma infecção severa que afeta o endocárdio, tendo seu risco aumentado em indivíduos portadores de doenças cardíacas congênitas. Uma higiene oral deficiente nesse perfil de pacientes pode levar a um quadro de bacteremia, oriunda de patógenos presentes no periodonto não sadio. O Streptococcus gordonii, é um dos primeiros microrganismos a colonizar a superfície dentária, podendo migrar da região periodontal para a corrente sanguínea e desencadear um quadro de endocardite. Objetivo: Relatar um caso de endocardite infecciosa secundária a Streptococcus gordonii, com manejo odontológico em ambiente hospitalar. Relato do caso: Paciente 47 anos, sexo masculino, foi diagnosticado com endocardite infecciosa secundária a Streptococcus gordonii, verificando-se a necessidade de cirurgia de dupla troca valvar mitral. Foi transferido para o Hospital Metropolitano Dom José Maria Pires, onde durante a avaliação odontológica, identificaram-se alguns focos de infecção na cavidade oral, que não eram favoráveis a realização da cirurgia cardíaca. Posteriormente, deu-se início a abordagem odontológica em bloco cirúrgico, sendo realizada a exodontia de alguns restos radiculares e raspagem sub e supragengival de todos os sextantes. Resultados: Não houveram complicações pós-operatórias e o paciente pôde dar continuidade ao tratamento da endocardite. Conclusão: Sendo assim, a triagem odontológica prévia ao procedimento cirúrgico possibilitou o cuidado integral do paciente em ambiente hospitalar, bem como, auxiliando na melhora de seu quadro sistêmico.
Implementasi Pendidikan Dasar Robotika melalui Penggunaan Mikrokontroler Arduino untuk Siswa Kelas 12 SMA Al Fityan School Tangerang
Authors: Dharmawan Fauzan , Suherman Andika , Kurniawan Bambang , Rahmatia Suci
Published: February 2024

Perkembangan teknologi robotik telah menjadi fokus utama dalam upaya meningkatkan produktivitas dan inovasi sehari-hari. Saat ini pendidikan mengenai pemrograman robot telah menjadi bagian dari kurikulum generasi muda diberbagai negara. Permasalahannya di Indonesia edukasi robotik masih belum terlalu meluas dan belum sepenuhnya terintegrasi ke dalam pendidikan formal. Oleh karena itu, perlu dilakukannya edukasi robotik untuk generasi muda. Melalui kegiatan Gerakan Nasional Revolusi Mental (GNRM), penulis bertujuan untuk memberikan pemahaman dasar robotik kepada siswa kelas 12 SMA Al-Fityan School Tangerang dengan menggunakan mikrokontroller berbasis Arduino. Kegiatan ini dilaksanakan dengan metode pengajaran dasar robotik dan praktek merakit secara langsung. Proses Pelaksanaan kegiatan dimulai dengan dengan pre-test yang bertujuan untuk mengukur tingkat pengetahuan awal siswa kelas 12 SMA AL-Fityan School Tangerang terkait mikrokontroller Arduino,pengenalan dan materi mikrokontroller Arduino, dan melakukan pelatihan dengan merakit robot humanoid sederhana. Berdasarkan hasil kegiatan yang dilakukan pada 39 peserta, menunjukkan adanya tingkat pemahaman dan penguasaan yang cukup terkait konsep dasar robotik.

Kata kunci: Arduino, Robotik, SMA Al-Fityan School Tangerang, Gerakan Nasional Revolusi Mental (GNRM)
Perbedaan Jumlah Leukosit Dan Neutrofil Absolut Pada Pasien Diabetes Melitus Tipe 2 Dengan Dan Tanpa Ulkus Diabetik Di Rumah Sakit Islam Fatimah Cilacap
Authors: Nugraheni Fajarita Eky , Dini Puspodewi  , Akhmad Mubarok
Published: February 2024

Diabetes Melitus (DM) tipe 2 adalah penyakit kronik yang terjadi karena tubuh tidak dapat menggunakan insulin secara efektif. Salah satu komplikasi kronis pada DM adalah ulkus diabetik. Ulkus diabetik adalah keadaan ditemukannya infeksi, tukak dan atau destruksi ke jaringan kulit yang paling dalam di kaki pada pasien. Kejadian ulkus diabetik meningkatkan jumlah leukosit dan jumlah neutrofil pada pasien DM karena leukosit berperan dalam sistem pertahanan tubuh sedangkan neutrofil absolut dapat mengindikasi adanya infeksi dan inflamasi. Tujuan penelitian ini adalah untuk membuktikan perbedaan jumlah leukosit dan jumlah neutrofil absolut pada pasien DM tipe 2 dengan dan tanpa ulkus diabetik di Rumah Sakit Islam Fatimah Cilacap. Metode penelitian ini menggunakan metode deskriptif analitik di ambil dari SIM RS periode Januari-Juni 2022. Total sampel adalah 205 pasien yang terdiri dari 152 subyek DM tipe 2 tanpa ulkus diabetik dan 53 subyek DM dengan ulkus diabetik. Sampel merupakan pasien RSI Fatimah Cilacap yang memenuhi kriteria inklusi dan ekslusi. Analisis yang digunakan adalah uji Mann-Whitney. Hasil rerata jumlah leukosit dan neutrofil absolut pada pasien DM tipe 2 tanpa ulkus adalah 8,91 μl.dan 6,49 μl. Rerata jumlah leukosit dan neutrofil absolut pada pasien DM tipe 2 dengan ulkus adalah 14,45 μl. dan 11,76 μl. Kesimpulan penelitian ini adalah ada perbedaan jumlah leukosit dan neutrofil absolut pada pasien DM tipe 2 dengan dan tanpa ulkus diabetik.
FUZZY SET THEORY AS A TOOL FOR MODERN APPLIED SOLUTIONS
Authors:   PhD of Economics, Associate Professor, Associate Professor of the Department of ", Zvyagin Leonid S. ,   System Analysis in Economics",   of the Faculty of Information Technology and Big Data Analysis, Financial University under the Government of the Russian Federation, Moscow, Russia
Published: February 2024

The need for the theory of fuzzy sets is explained by the fact that thanks to fuzzy sets, it becomes possible to describe fuzzy concepts, operate on them and extract fuzzy conclusions. Today, fuzzy logicbased fuzzy systems are being implemented almost everywhere, in many business entities in order to analyze and evaluate information, make forecasts and model. The application of this theory has made it possible to make a breakthrough in the organization of management of technical facilities. The term «fuzzy set» was introduced by Lotfi A. Zadeh, having expanded the concept of a set, became the author of the theory of fuzzy sets, and he considered classical sets to be a special case of fuzzy ones. The reason for the popularity of fuzzy set theory lies in its peculiarity, namely the ability to take into account human judgments. However, all knowledge and judgments reproduced by humans are fuzzy, subjective and in most cases uncertain, so it was necessary to create a mathematical theory that could take into account approximate judgments of people, which is the theory of fuzzy sets. Thanks to the emergence of this theory, it became possible not only to consider phenomena at a qualitative level, as it was before, but also to conduct a quantitative analysis, which is truly important in modern realitiesd.