bluuebunny/crossref_metadata_2025 huggingface dataset:
The Sonographic Measurement of the Inferior Vena Cava Diameter versus the Central Venous Pressure in Assessing Fluid Responsiveness in Patients after Coronary Artery Bypass Graft Surgery
Authors: El-Gazzar Mohamed , Soubih Ahmed , Sanad Osama , Rashid Hesham , Elnahhas Ashraf
Published: January 2023

Background: Fluid status assessment and management post coronary artery bypass grafting (CABG) is a clinical challenge. The study aimed to establish whether central venous pressure (CVP) and ultrasound measures of respiratory variability of inferior vena cava (IVC) diameter might predict fluid responsiveness in mechanically ventilated patients after CABG.

Methods: This comparative study included 200 consecutive adult patients who underwent elective CABG. We recorded the following parameters: heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), central venous pressure (CVP), inferior vena cava maximum (IVCmax), and minimum (IVCmin) diameters, left ventricular ejection fraction (LVEF), and velocity-time integral in the left ventricular outflow tract (VTI-LVOT).

Results: The age of the patients ranged from 45 to 71 years, and 147 were males (73.5%). Patients were grouped into fluid responders (n= 135), defined as stroke volume variation (SVV) of 15% or greater following fluid bolus administration, and fluid non-responders (n= 65), defined SVV of less than 15% following fluid bolus administration. There was no statistically significant difference between the groups regarding their CVP, maximum and minimum IVC diameters, inferior vena cava distensibility index (IVC-DI), and other markers of fluid responsiveness (p-value 0.47, 0.34, 0.59, and 0.64, respectively). There was a significant difference in SVV between fluid responders (18.33±2.767) and non-responders (10.95±1.940) (p-value <0.001).

Conclusion: Neither CVP nor sonographic measures of IVC diameter respiratory variability provided an accurate method to distinguish between fluid responders and non-responders in the early postoperative period after CABG.
Limitation of Non-Halal Income (Interest) in The Criteria of Sharia Securities List in Indonesia Stock Exchange
Authors:   Faculty of Economics and Business, Wahid Hasyim University, Semarang, Fatchurrohman M , Saputri Pungky Lela ,   Faculty of Economics, Islamic University Sultan Agung, Semarang
Published: January 2023

Abstract: The Islamic capital markets in Indonesia have been developing over the last two decades, characterized by an increase in Islamic products and the issuance of regulations related to the Islamic capital markets, and the general public and investors are beginning to understand the list of Islamic securities. Next, there is one of the controversial criteria for the Sharia Securities List. That is, the total yield is less than 10%. It is understandable whether Islamic financial institutions earn income from bank interest before they are fully subject to Sharia law. Puprose: The purpose of this research is to examine the refinement of several regulations related to criteria and issuance of sharia lists to encourage and increase the Indonesian Sharia Stock Index (ISSI). Methodology: This study analyzes the dispute using an associative approach by building relationships between social situations or domains based on the interdependencies of the dispute under study. It is a study to do. Result: The results of this survey and discussion are based on an analysis of non-Halal income (interest) restrictions in the criteria for listing Shariah securities in Indonesia to address the conditions, risks and possibilities of Sharia Securities List (SSL). The Indonesian capital markets industry is beginning to develop the application of the Islamic Shariah Principles as an alternative investment tool in Indonesian capital market activities. With the standard requirements and the issuance of the following list of Shariah securities, total interest income and other non-Halal income for each security will be less than 10%. The decision to change the issuer's financial indicators was analyzed by capital market authorities on the effect that the company continues to use interest-based financial institutions. If the interest limit is kept to a minimum, the capital market will not run and develop properly and will inevitably lead to a drastic decline in the Islamic stock index on IDX. Thus, when Islamic issuers have developed a lot and are finally ready to lower the interest-based non-halal income limit, they will certainly have a perspective in influencing the conditions of inclusion of other Islamic financial institutions. Keywords: 1. DES 2. Inclusiveness 3. LKS 4. DSN - MUI 5. OJK
A sikeres haderőfejlesztés záloga (1.)
Authors: Benkő Tibor
Published: January 2023

A 21. század kihívásaival szembenézni, valamint a kialakult kockázatokat és veszélyeket eredményesen kezelni korszerű, folyamatosan megújuló képességű haditechnikai eszközök nélkül elképzelhetetlen. Ugyanúgy lehetetlen a mindenoldalú biztosítás – többek között az anyagi erőforrások folyamatos rendelkezésre állása – nélkül is, de ebben az esetben nem csupán Montecuccoli híres mondására kell gondolni. Viszont a „pénz, paripa, fegyver” együttese is csak szükséges és elengedhetetlen feltétele a sikeres műveleteknek, hiszen a katonai képesség megteremtésének és folyamatos fenntartásának számtalan összetevője van. Ezek közül kiemelendő az emberierőforrás-képesség létrehozása és teljes körű biztosítása. Az elmúlt években többek között éppen ezért állította a honvédelmi vezetés a Honvédelmi és Haderőfejlesztési Program középpontjába a nemzete és hazája iránt elkötelezett, lojális embert, magát a jól képzett, korszerű eszközökkel és modern egyéni felszereléssel ellátott katonát.
Coordinated Cooperative Distributed Decision-Making using Synchronization of Local Plans
Authors: Kloock Maximilian , Alrifaee Bassam
Published: January 2023

Centralized decision-making for a Networked Control System (NCS) suffers from a high computational burden on the planning agent. Distributed agents, which compute cooperative decision-making, increase computational performance. In cooperative decision-making, agents locally plan for a subset of all agents. Due to only local system knowledge of the agents, these local plans are inconsistent with the local plans of other agents. This inconsistency leads to the infeasibility of plans. This article introduces an algorithm for synchronizing local plans for cooperative distributed decision-making. The algorithm enables parallel decision-making and achieves feasible decisions. The algorithm consists of two iterative steps: local planning and global synchronization. In the local planning step, the agents parallelly compute local decisions, referred to as plans. Subsequently, consistency of the local plans across agents is achieved using global synchronization. The globally synchronized plans act as reference decisions for the local planning step in the next iteration. In each iteration, the local planning guarantees locally feasible plans, while the synchronization guarantees globally consistent plans in that iteration. The parallel algorithm converges to globally feasible decisions if the coupling topology is feasible. We introduce requirements for the coupling topology to achieve convergence to globally feasible decisions and present the algorithm using a model predictive control example. Our evaluations with car-like robots show that globally feasible decisions are achieved.
Hephaestus: Modelling, Analysis, and Performance Evaluation of Cross-Chain Transactions
Authors: Belchior Rafael , Somogyvari Peter , Pfannschmid Jonas , Vasconcelos André , Correia Miguel
Published: January 2023

Ecosystems of multiple blockchains are now a reality. Multi-chain applications and protocols are perceived as necessary to enable scalability, privacy, and composability. Despite being a promising emerging research area, we recently have witnessed many attacks that have caused billions of dollars in losses. Attacks against bridges that connect chains are at the top of such attacks in terms of monetary cost, and no apparent solution seems to emerge from the ongoing chaos. 

In this paper, we present our contribution to minimizing bridge attacks. In particular, we explore the concepts of cross-chain transaction, cross-chain logic, and the cross-chain state as the enablers of the cross-chain model. We propose Hephaestus, the first cross-chain model generator that captures the operational complexity of cross-chain applications. Hephaestus can generate cross-chain models from local transactions on different ledgers realizing arbitrary use cases and allowing operators to monitor their cross-chain applications. Monitoring helps identify outliers and malicious behavior, which can help programmatically to stop bridge hacks and other attacks. We conduct a detailed evaluation of our system, where we implement a cross-chain bridge use case. Our experimental results show that Hephaestus can process 600 cross-chain transactions in less than 5.5 seconds in an environment with two blockchains and requires sublinear storage.
Augmentation assisted robust fringe detection on unseen experimental signals applied to optical feedback interferometry using a deep network
Authors: Khurshid Sumair Saeed , Hussain Wajahat , Zabit Usman , Bernal Olivier
Published: January 2023

In this work, we propose using deep neural 2D networks, which have renowned generalization performance on unseen data. It specifically explains the use of Novel Augmentation technique for SMI Fringe detection and classification. Overall, it highlights the importance of data augmentation in computer vision algorithms. The results prove that computer vision can be used to cater the problems in signal processing and photoelectronics domain.
Impact of Channel Models on Performance Characterization of RIS-Assisted Wireless Systems
Authors: Jamali Vahid , Ghanem Walid. R. , Schober Robert , Poor H. Vincent
Published: January 2023

The performance characterization of communication systems assisted by large reconfigurable intelligent surfaces (RISs) significantly depends on the adopted models for the underlying channels. Under unrealistic channel models,  the system performance may be over- or under-estimated which yields inaccurate conclusions for the system design. In this paper, we review five channel models that are chosen to progressively improve the modeling accuracy for large RISs. For each channel model, we highlight the underlying assumptions, its advantages, and its limitations. We  compare the system performance under the aforementioned channel models using  RIS configuration algorithms from the literature and a new scalable algorithm proposed in this paper specifically for the configuration of extremely large RISs.
Failure Management in 5G RAN: Challenges and Open Research Lines
Authors: Tarrías Antonio , Fortes Sergio , Barco Raquel
Published: January 2023

Failure management is one of the key aspects in cellular networks. 5G technology is introducing several novel features that will cause the occurrence of new problems in the network. The objective of the present work is to identify which features may lead to potential network failures. In this way, a subset of problems has been identified and categorized. They were analyzed in order to know how they are in line with 3GPP specifications. Based on this, the present work proposes a novel failure management approach, applying it for failure simulation and impact analysis over the network performance. 
Hybrid Model Predictive Control for Autonomous Emergency Evacuation Robot
Authors: Khan Subhan , Guivant Jose , Li Yonghui , Liu Wanchun , Li Xuesong
Published: January 2023

This paper presents an approach for optimizing trajectories of autonomous vehicles in evacuation scenarios, particularly for the transportation of handicapped individuals, animals, and products. First, the hybrid model predictive control (HMPC) technique takes into account partially known infrastructure and dynamic obstacles, and allows for multiple secure destinations. The approach utilizes a platform-specific dynamics model, a global cost-to-go (CTG) function, and contextual awareness. In addition, the CTG function is generated using a Dijkstra algorithm and pseudo priority queues (PPQ), and allows for efficient trajectory planning on large maps. Furthermore, the control actions are generated in real-time using a high-frequency MPC process based on stochastic dynamic programming (SDP), using the most recent CTG information and a model of the vehicle dynamics and the perceived environment, including static and dynamic objects and skid-slip effects. Finally, the effectiveness of the proposed technique is validated through simulations.
Reduction of nonlinear impairments in optical transmission systems for high-order quadrature-amplitude-modulation signals by using phase-conjugated twin waves
Authors: Kikuchi Kazuro
Published: January 2023

Using computer simulations, we analyze the bit-error rate (BER) characteristics of the optical transmission system repeated by erbium-doped fiber amplifiers (EDFAs) and two-mode phase-sensitive optical parametric amplifiers (PSAs), where  phase-conjugated (PC) twin waves are co-propagating through the link. We focus on the 256 quadrature-amplitude-modulation (QAM) format, whose transmission characteristics are seriously affected by fiber nonlinearity because the required power is significantly high.

Changing the repeater spacing and group-velocity dispersion (GVD) of fibers for transmission in the two-mode PSA-based system, we calculate the BERs as a function of the launched power. When the repeater spacing and  GVD value of fibers are properly designed, the two-mode PSA-based system can mitigate nonlinear impairments more effectively than the EDFA-based PC twin system.
Automated muscle localization and model-based estimation of ankle torques post-stroke via a wearable sensorised leg garment
Authors: Simoneti Donatella , Hendriks Maartje , Herijgers Joost , Rio Carmen Cuerdo del , Koopman Bart , Keijsers Noel , Sartori Massimo
Published: January 2023

This study presents a technology that can provide computer-based, signal-driven, musculoskeletal model-based analysis for musculoskeletal assessment post-stroke during gait. It comprises a modular 64 textile-embedded electromyography (EMG) leg garment integrated with a generalized and automated algorithm for the fast localization of leg muscles and an EMG-driven neuromusculoskeletal (NMS) modeling framework for the estimation of ankle torques and muscle forces. 

Our results showed that the automated clustering could extract muscle-specific clusters from 64 electrode activations of post-stroke individuals during a few gait cycles of a single walking task. Moreover, resulting muscle-specific EMG envelopes were electrophysiologically consistent for different walking speeds. Furthermore, the automated clustering provided EMG envelopes with the accuracy needed to drive an NMS modeling framework and estimate dynamically consistent ankle torques using unseen data. The technology proposed in this study opens new avenues for fast and quantitative musculoskeletal function assessment in neurologically impaired individuals.
Proportional and Simultaneous Real-Time Control of the Full Human Hand From High-Density Electromyography
Authors: Sîmpetru Raul , März Michael , Vecchio Alessandro Del
Published: January 2023

Surface electromyography (sEMG) is a non-invasive technique that measures the electrical activity generated by the muscles using sensors placed on the skin. It has been widely used in the field of prosthetics and other assistive systems because of the physiological connection between muscle electrical activity and movement dynamics. However, most existing sEMG-based decoding algorithms show a limited number of detectable degrees of freedom that can be proportionally and simultaneously controlled in real-time, which limits the use of EMG in a wide range of applications, including prosthetics and other consumer-level applications (e.g., human/machine interfacing). In this work, we surpass the current state of the art by developing a new deep learning method that can decode and map the electrophysiological activity of the forearm muscles into proportional and simultaneous control of > 20 degrees of freedom of the human hand with real-time resolution and with latency within the neuromuscular delays (< 50 ms). We recorded the kinematics of the human hand during grasping, pinching, individual digit movements and three gestures at slow (0.5 Hz) and fast (0.75 Hz) movement speeds in healthy participants.

We demonstrate that our neural network can predict the kinematics of the hand in real-time at a constant 32 predictions per second. To achieve this, we employed transfer learning and created a prediction smoothing algorithm for the output of the neural network that reconstructed the full geometry of the hand in three-dimensional Cartesian space in real-time. Our results demonstrate that high-density EMG signals from the forearm muscles contain almost all the information that is needed to predict the kinematics of the human hand. The proposed method has the capability of predicting the full kinematics of the human hand in an unprecedented way and with real-time resolution with immediate translational impact in subjects with motor impairments. 
Optimization of Gang-operated On-load Tap Changers in Multi-conductor Radial Networks: Formulation and Convex Relaxation
Authors: Geth Frederik , Deconinck Geert , Claeys Sander
Published: January 2023

Unbalanced optimal power flow refers to mathematical optimization problems subject to the physics of grids with phase unbalance. They can serve as a core technology, or benchmark, for centralized or distributed optimal control solutions. In recent years, convex relaxations of this problem have attracted significant interest in the community. For many common test feeders, it turned out they return exact solutions. However, more research is needed to study how well this holds up in more complicated modelling contexts. This paper therefore studies gang-operated on-load tap changers in detail. Analogous to balanced optimal power flow, it is possible to reformulate the problem exactly without an explicit tap variable. This is a non-trivial result that is discussed in detail. Furthermore, this paper describes in detail how a solution in the lifted variable space can be projected back to the original variable space. Best case, it then becomes possible to solve the problem as a convex optimization problem instead. Worst case, it provides a lower bound on the objective value. Two numerical case studies, a simple test case and IEEE13, are included. The case studies are made publicly available. 
UAV Communication Aided by Intelligent Reflective Surfaces - A Performance Analysis in the Context of Industry 4.0
Authors: Haq Asim Ul , Bilal Muhammad , Mihovska Albena
Published: January 2023

This paper presents a wireless communication solution enabled by unmanned aerial vehicles and intelligent reflecting surfaces for catering to the wireless communication needs of smart factories. The simulation results show the comparison of indoor and outdoor deployment of intelligent reflecting surfaces. Furthermore, a relation of cross-sectional area of reflecting surface to required bandwidth is shown graphically.
Critical Materials for Climate Technologies in the EU
Authors: Schmidt Patrick , Barkhausen Robin , Hofmann Alexander , Gervais Estelle , Heumann Johannes
Published: January 2023

Against the backdrop of the climate crisis, countries worldwide agreed in the Paris agreement to keep global warming below 2°C compared to the pre-industrial era, ideally below 1.5°C. The EU set out the goal to reach carbon neutrality by 2050 - a goal for which the energy sector will play a central role, as the production and use of energy is responsible for more than 75% of greenhouse gas emissions. To transition to low carbon energy production, photovoltaic and wind turbines, coupled with energy conversion technologies such as electrolysers, fuel cells, and batteries, are believed to be key solutions. But these technologies require substantial amounts of scarce raw materials with EU import dependency and environmental and social problems connected to extraction and refining. The vulnerability of the EU energy sector became apparent in 2022 at the example of its dependency on Russian oil and gas. The supply chain for clean energy technologies could be equally vulnerable and jeopardise the achievement of EU climate targets. 

A plethora of studies dealing with resource scarcity has been performed. These studies, however, differ in their results regarding the most critical materials and often only provide vague recommendations on how to increase the resilience of the production and supply chains. Hence, it is of interest to synthesize the findings of major studies from renowned institutions, identify commonalities as well as differences, filter out areas with need for immediate action and create an overview of critical materials in climate technologies. 
Methods and Techniques for a MIMO based Weather Radar system
Authors: Kumar Mohit
Published: January 2023

This article develops the multiple-input multiple-output (MIMO) technology for weather radar sensing. There are ample advantages of MIMO that have been highlighted that can improve the spatial resolution of the observations (for a coherent MIMO) and also the accuracy of the radar variables (in a non-coherent MIMO). These concepts have been introduced here pertaining to weather radar observations with supporting simulations demonstrating improvements to existing phased array technology. Already MIMO is being used in a big way for hard target detection and tracking and also in automotive radar industry and it offers similar improvements for weather radar observations. Some of the benefits are discussed here with a phased array platform in mind, the novel portable phased array Radar (PWR) by Agile RF Systems (ARS), which offers quadrant outputs.
MRI retrospective respiratory gating and cardiac sensing by CW Doppler radar: A feasibility study
Authors: Lee Wonje , Ryu Kanghyun , Li Zhitao , Wu Yuxin , Robb Fraser , Vasanawala Shreyas , pauly john , Scott Greig
Published: January 2023

This study investigates the feasibility of non-contact retrospective respiratory gating and cardiac sensing using continuous wave Doppler radar deployed in an MRI system. 
Compressing the Activation Maps in Deep Convolutional Neural Networks and the Regularization Effect of Compression
Authors: Vu Minh , Garpebring Anders , Nyholm Tufve , Löfstedt Tommy
Published: January 2023

Deep learning has dramatically improved performance in various image analysis applications in the last few years. However, recent deep learning architectures can be very large, with up to hundreds of layers and millions or even billions of model parameters that are impossible to fit into commodity graphics processing units. We propose a novel approach for compressing high-dimensional activation maps, the most memory-consuming part when training modern deep learning architectures. To this end, we also evaluated three different methods to compress the activation maps: Wavelet Transform, Discrete Cosine Transform, and Simple Thresholding. We performed experiments in two classification tasks for natural images and two semantic segmentation tasks for medical images. Using the proposed method, we could reduce the memory usage for activation maps by up to 95%. Additionally, we show that the proposed method induces a regularization effect that acts on the layer weight gradients. 
Erratum to “Inter-Channel Nonlinear Interference Noise in the Presence of PDL”
Authors: Golani Ori , Dahan David
Published: January 2023

We presented an analytical model which predicts the statistical properties of nonlinear interference noise (NLIN) in fiber links which are affected by polarization dependent loss (PDL) [Golani et al, 2023]. Although the model and results shown in the original paper are correct, we found several typos and omissions in the analytical derivation. While the final results presented in the paper are correct, these errors may hinder anyone trying to reproduce the mathematical steps of the derivation. Hence, we correct them here.
An Implicit IE-GSTC Metasurface Forward Solver
Authors: Phaneuf Mario , Mojabi Puyan
Published: January 2023

We present the formulation of a novel integral-equation (IE)-based algorithm to solve for the scattered fields of a metasurface problem. The metasurface is assumed to be a thin sheet behaving according to the susceptibility model from the generalized sheet transition conditions (GSTCs). The proposed (implicit) IE-GSTC algorithm differs from other IE-GSTC methods by solving for the average scattered fields (by utilizing the mathematical properties of the IE operators) and only indirectly using the GSTC equations, which results in a reduced number of fundamental unknowns when compared to other methods. In addition, we show how the average scattered fields can be used in order to find the scattered fields everywhere. The proposed method is used to simulate two cases under the two-dimensional transverse-electric assumption. In particular, the results of the second case are compared to those obtained by a full-wave simulation in ANSYS HFSS.
Analytic Theory of Current-Voltage Characteristics of OLEDs
Authors: Ahmed Khaled
Published: January 2023

The development of OLED displays is a non-ergodic process in which there is continuous novel change; and comprehending emitters that are evolving requires new theory, or at least modification of that which is already possessed.  For the first time, a new data-validated closed-form physics-based expression is derived for the I-V characteristics of OLEDs in this paper. Two parameters emerge from the new model: liminal current and liminal voltage.  Both parameters are expressed in terms of device and material parameters, allowing a device engineer to intuitively design experiments to target low voltage operation OLEDs.  Robust parameter extraction methods are proposed and validated with experimental data
Characterising the Blood Pressure Response to Physical Counterpressure Manoeuvres Using Surface Electromyography in Adults with Long Covid
Authors: Duggan Eoin , Jennings Glenn , Monaghan Ann , Byrne Lisa , Xue Feng , Romero-Ortuno roman
Published: January 2023

Objective: Orthostatic intolerance (OI) is common in Long Covid. Physical counterpressure manoeuvres (PCM) may improve OI in other disorders. We characterised the blood pressure-rising effect of PCM using surface electromyography (sEMG) and investigated its association with fatigue in adults with Long Covid. Methods: Participants performed an active stand with beat-to-beat hemodynamic monitoring and sEMG of both thighs, including PCM at 3-minutes post-stand. Multivariable linear regression investigated the association between change in systolic blood pressure (SBP) and change in normalised root mean square (RMS) of sEMG amplitude, controlling for confounders including the Chalder Fatigue Scale (CFQ). Results: In 90 participants (mean age 46), mean SBP rise with PCM was 13.7 (SD 9.0) mmHg. In regression, SBP change was significantly, directly associated with change in RMS sEMG (β=0.25, 95% CI 0.07–0.43, P=0.007); however, CFQ was not significant. Discussion/Conclusion: PCM measured by sEMG augmented SBP without the influence of fatigue.  
Hybrid GRU-LSTM Recurrent Neural Network-Based Model for Real Estate Price Prediction
Authors: Ragb Hussin , Muntaser Akram , Jera Elforjani , Saide Abdurazag , Elwarfalli Ibrahim
Published: January 2023

Real estate prices are an important reflection of the economy and their prices are great interest to both buyers and sellers. Hundreds of houses are sold every day and the buyer asks himself what is the reasonable price that this house deserves. In this paper, a new regression model is proposed for the accurate prediction of house prices. This model is based on the hybrid recurrent neural network where the Gated Recurrent Unit (GRU) is fused with the Long Short-Term Memory (LSTM) and applied to a particular dataset that characterizes houses in Boston. Massachusetts dataset from Scikit-learn is used in this research to train and evaluate this regression model using the data on Boston housing. Several experiments were conducted on the proposed algorithm and evaluated with the commonly used metrics. The results of these experiments showed that the proposed model has better performance when the networks are used in the fusion process than when they act individually. It also has better accuracy and lower Root Mean Square Error when compared to several states of art methodologies.
Over-the-Air Computing with Imperfect CSI: Design and Performance Optimization
Authors: Evgenidis Nikos , Papanikolaou Vasilis , Diamantoulakis Panagiotis D. , Karagiannidis George K.
Published: January 2023

Over-the-air computing (AirComp) has recently attracted considerable attention as an efficient method of data fusion by integrating uncoded communication transmissions with computation thanks to the signal superposition offered by the multiple access channels. However, appropriate processing is required to neutralize the wireless channel effect. As, internet-of-things (IoT) applications through low-cost devices is the main target of AirComp, perfect availability of channel state information (CSI) is not always practical, there is the need to investigate the effect of imperfect CSI on AirComp. Specifically, we present novel closed-form expressions for tight approximations that can be used to design and evaluate AirComp systems. Furthermore, we design a general optimization framework that takes into account both magnitude and phase errors in the CSI. Finally, a pilot retransmission policy is designed, that offers trade-off between resources cost and the gain in the accuracy of the computations. In order to validate its application, a utility function of the cost of retransmission is introduced, namely, Retransmission Policy Cost (RPC), which can incorporate the power or throughput cost opposing to the expected gain of the selected policy. Simulations show the deterioration caused by the imperfect CSI and highlight the added value of the proposed policy under various system conditions. 
A Deterministic Approach to Approximate Computing on Stochastic Computing Hardware, with Reduced Sequence Lengths for Convolutional Neural Networks
Authors: Hekmatshoar Bahman
Published: January 2023

In this work, a deterministic sequence suitable for approximate computing on stochastic computing hardware is proposed and its effectiveness in achieving high accuracies with relatively short sequence lengths is studied for convolutional neural networks. It is shown that in the range of interest for neural network computations, multiplication errors can be lower than quantization errors with this approach. The sequence lengths required for achieving accuracies within ~0.5% of the floating-point baseline are of the order of 16 and 32 for CIFAR10 classification with VGG16 and ResNet20 networks, respectively, when all convolutions and matrix multiplications are performed using the proposed sequence. For ImageNet classification, the sequence lengths required for accuracies within ~1% of the floating-point baseline are of the order of 32 for MobileNetV1 and ResNet50 networks. This work suggests that stochastic computing hardware and approaches may be feasible for approximate neural network computations with higher accuracies, lower latencies and/or larger networks than previously reported. 
A Study on the Public Participation of Residents in Solid Waste Management in selected Barangays in the Municipal of Orani, Bataan
Authors: Mangubat Nissha
Published: January 2023

This study proposed an investigation regarding waste management participation in the Municipal of Orani, Bataan, Philippines.
An Integrated Online Mechanism for Feature Selection and Classification in Streaming Data
Authors: nosrati vahid , Rahmani Mohsen , Shamsi Ehsan
Published: January 2023

This is an original reasearch work.
Pass Gate Based Threshold Voltage Defined Logic Family with Resilience Against Hardware Attacks
Authors: Thomas Morgan , Park Beomsoo , Maghari Nima
Published: January 2023

Electronic counterfeiting is a major source of concern from a security and reliability standpoint. For digital integrated circuits (ICs), reverse engineering can reveal the design and functionality of the circuit. A solution to this problem is to leverage different threshold voltage (VT) transistors which are indistinguishable in the layout. This allows for a single circuit that utilizes these transistors to be used for Boolean functions and thus makes the design not susceptible to reverse engineering. Side channel attacks derive the function of the IC while the device is in operation. This class of attacks measures and compares the variation in the performance parameters such as time delay and current consumption. The proposed pass gate-based threshold voltage defined (PG-TVD) logic family when compared to the enhanced threshold voltage defined logic families (E-TVD) reduces the average variation by almost an order of magnitude; from 7.06% down to 0.75%. The PG-TVD logic family when compared to the Threshold Voltage Defined (TVD) Logic Family reduces the area by 25%, current consumption by 24%, and time delay by 20%. 
Abertura
Authors: Graziani Michela
Published: January 2023

The volume, created by the collaboration between the University of Florence and the University of Lisbon, aims to celebrate the President of the European Parliament, David Sassoli, a year after his death in january 2022. The miscellaneous volume, entirely written in Portuguese language, includes 36 works among essays, poems, novels, drawings, paintings starting with the figure and the European values that have so strongly been defended by David Sassoli, to reflect on the future of Europe and new geopolitical scenarios that Europe is going through, after the death of the President of the European Parliament.
Esfinge em labirinto de espelhos
Authors: Rita Annabela
Published: January 2023

Reflecting on the history(s) of Europe, this text revisits some of its most strategic bibliographical and aesthetic references for the understanding of the different faces of its identity and its humanist ideals of peace and fraternity. A four-step itinerary: starting with a framework of critical and theoretical essays and its national expression, Portugal, passing through the perspective of the Russia-Ukraine war then leads us to the dream of peace and european fraternity, which David Sassoli defended. An ascensional journey culminating with the tribute to Sassoli.
Os valores humanos de David-Maria Sassoli: Um ensaio
Authors: Martins Paulo Nuno
Published: January 2023

This essay is a contribution to the tribute given to David-Maria Sassoli, highlighting the human values that characterized his presidency of the European Union, namely democracy and freedom, peace, solidarity, which are the fundamental pillars for the construction of the future Europe based on the cultural diversity of each member state.
A Europa enquanto utopia+F53
Authors: Franco José Eduardo
Published: January 2023

Drawing on David Sassoli's inspiring vision, we propose a reflection on Europe as a utopian project with ancient rootedness. This project's uniqueness is marked by its unfinished state, always requiring the impetus of renewed hope. The European Union has to be constantly updating and deepening itself in order to survive. In the conclusion we observe how Europe has been a utopian goal of progress for the countries that comprise it, as is the paradigmatic case of Portugal.
O Futuro da Europa
Authors: Fiolhais Carlos
Published: January 2023

One of David Sassoli's most outstanding initiatives was the Conference on the Future of Europe, concluded in 2022, which aimed to promote the European construction based on the voices of citizens. Given the Europe's historical relevance in the development of science and technology and my own European experience, I comment on this Sassoli's "political testament", highlighting three major challenges for Europe and arguing that, in addition to science and technology, the future of the European Union must be based on the values ​​he espoused.
Evaluation of the Oestrogenic Activity of Cassia sieberiana Root Bark (Calsepinaceae)
Authors: Yaya Soro Tianga , Claude Mian Jean , Célestin Ehoussou N’douffou , Aimé Kouassi Ange Michel , Sirabana Coulibaly , Flavien Traoré
Published: January 2023

Cassia sieberiana is a tree of 8 to 10 meters in height, used to treat various diseases including malaria, dysmenorrhea and many others. Our objective is the scientific valorisation of Cassia sieberiana, a plant used in therapy in the Ivory Coast, through the evaluation of the estrogenic activity of the root bark of Cassia sieberiana. To do this, the phytochemical study was carried out in order to determine the main chemical constituents with therapeutic potential, then the acute toxicity by gavage was carried out and finally the estrogenic activity was verified. The phytochemical study revealed the presence of sterols, polyterpenes, polyphenols, flavonoids, catechic tannins, saponosides and alkaloids. As for the toxicity study, it allowed us to determine a per os LD50 > 5000 mg/kg PC. The aqueous extract of the root bark of Cassia sieberiana has an estrogenic activity.
Evaluation of Side Effects of General and Spinal Anesthesia during Caesarean Section
Authors: Afroz Dr. Asma , Khan Dr. Rehan Uddin , Kormokar Dr. Chandra Shekhor
Published: January 2023

Background: In both developed as well as developing countries, now a day, the proportion of women electing for cesarean delivery has increased. In cesarean delivery, application of anesthesia is a must. Several studies compared anesthesia modalities in cesarean section regarding clinical outcomes, complications and side-effects. But in Bangladesh, we have very limited research-based information regarding those issues. Aim of the Study: The aim of this study was to evaluate of the side effects of general and spinal anesthesia during caesarean section. Methods: This was a prospective observational study which was conducted in Department of Aneaesthesia, ICU & Pain Medicine, Shaheed Suharawardy Medical College and Hospital, Dhaka, Bangladesh during the period from January 2021 to December 2021. In this study, in total 60 randomly selected patients of caesarean section was the study population. The total study subjects were divided into two groups containing 30 participants in each. In group 1, general anesthesia and in group 2 spinal anesthesia were used during caesarean section. All the demographic as well as clinical data were recorded. As per necessity data were processed, analyzed and disseminated by using MS Excel and SPSS version 23.0 program. Results: In this study, in analyzing the side effects of the respondents causing general anesthesia we found vomiting, headache and pain as the most frequent side effects which was observed in 27%, 40% and 50% cases respectively. On the other hand, in analyzing the side effects of the respondents causing spinal anesthesia we found headache, pain and hypertension as the most frequent side effects which was observed in 27%, 47% and 37% cases respectively. Besides those, fever and infection were found in some cases in both the groups as the side effects of anesthesia. Conclusion: In both general as well as spinal anesthesia there are some unavoidable side effects. Although, pain and headache are two common side effect ........
Factors Associated with Coronary Heart Disease among Patients in Bangladesh: A Single Center Study
Authors: Khandaker Dr. Md. Alahi , Haque Brig Gen Dr. AK Mahbubul , Shafique KMA , Islam Dr. Md. Ahsanul , Mohammad Dr. Abu Noyim
Published: January 2023

Background: Coronary heart disease ((CHD) is the term that describes what happens when one’s heart’s blood supply is blocked or interrupted by a build-up of fatty substances in the coronary arteries. It is the major leading cause of death which poses serious health problems in developed as well as developing countries like Bangladesh. It has also high substantial economic impact in national healthcare expenditure. Aim of the Study: The aim of this study was to evaluate the factors associated with coronary heart disease among patients in Bangladesh. Methods: This was a cross sectional descriptive study, conducted during the period from the 1st September 2017 to 28th February 2018. A total of 135 clinically diagnosed CHD patients were included as the study subjects. For this purpose, non-probability convenient sampling technique was used. After taking inform consent, we measured height, weight, waist and hip circumference of the participants. Recording all the data, we filled up the predesigned questionnaire. Data were collected by both qualitative and quantitative method by using semi- structured questionnaire developed for the study. All data were processed, analyzed and disseminated by using MS Excel and SPSS version 20.0 program as per necessity. Results: Among the total participants 65.2% were with positive family history of cardiovascular diseases, 87.4% with habit of tobacco intake, 90.4% physically inactive, 2.2% with habit of alcohol intake, 31.9% with diabetes mellitus, 82.2% with hypertension, 75.6% with dyslipidemia, 30.4% overweight, 7.4% obese and 5.2% underweight. In this study, we found significant correlations of coronary heart diseases (CHD) with age (P=0.012), BMI (P=0.023), habit of tobacco intake (P=0.003) and hypertension (P=0.011). Conclusion: Age, body weight, habit of tobacco and hypertension may be considered as some potential factors which are associated with coronary heart disease. In Bangladesh, the frequencies of peoples with family .....
Rupture of the Superficial Dorsal Vein of the Penis: About Two Cases
Authors: Benabdallah Y. Staouni , Benkerroum A. , Moataz A. , Dakir M. , Debbagh A. , Abouateib R.
Published: January 2023

Superficial dorsal vein rupture is a rare penile emergency, it presentation could suggest penile fracture instead. While penile fractures are a true emergency, superficial dorsal vein rupture is not as the consequences for the patient are different and loss of erectile function is rare. We report the observation of 2 men who presented with a clinical picture suggestive of a fracture of the corpora cavernosa, and whose exploration objectified a rupture of the superficial dorsal vein of the penis. The evolution is most often favorable after surgical management.
Quadriceps Tendon Rupture with Avulsed Fracture of Patella and Resulting Patella Baja Deformity
Authors: Sharma Dr. Pankaj , Agarwal Dr. Naveen , Dr. Sundareshan Dr. Sundareshan
Published: January 2023

Rupture of the quadriceps tendon is a rare injury. Predispositions such as recurrent microtrauma or degenerative changes are typically present. Clinical examination is typically sufficient to diagnose acute quadriceps tendon ruptures. People older than 40 with underlying medical issues are more likely to get quadriceps tendon ruptures. Early care improves the result and makes the damage debilitating. Radiographs and ultrasonography are frequently necessary for an early diagnosis when the traditional clinical signs are absent.
A Survey of Vocabulary Learning Strategies Used by Non-English Majors in Changzhi University
Authors: Zhang Shasha
Published: January 2023

Vocabulary has been playing an important role in language learning. However, to most students in China, vocabulary is the main problem they have met when they learn English. In order to improve their vocabulary learning skills, a study is needed to find out definitions and classifications of English learning strategies used by college students in Changzhi University. Further more, students’ different employment of language learning strategies and the related results are essential to be explored. This thesis aims to investigate the vocabulary learning strategies used by non-English majors by means of questionnaires. The subjects are 238 non-English majors from Changzhi University. Both similarities and differences of application of language learning strategies are explored. The correlation between vocabulary learning strategies and test scores is conducted as well. Further more, some suggestions for lexical learning will be put forward.
Solid Variant of Adenoid Cystic Carcinoma Coexisting with Invasive Squamous Cell Carcinoma in Uterine Cervix – A Case Report with Immunoprofile
Authors: Roshni P. S. , Pavithra B. N.
Published: January 2023

Primary adenoid cystic carcinoma of cervix is a rare entity. Co-existence of adenoid cystic carcinoma with squamous cell carcinoma is even more rare. Here we present the case of an 85 year old postmenopausal lady who presented with on and off vaginal bleeding and was found to have a hard cervical mass. Hysterectomy with bilateral salpingo-oophorectomy was done and histopathological evaluation revealed coexisting solid variant of adenoid cystic carcinoma and squamous cell carcinoma. High grade squamous intraepithelial lesion was seen adjacent to invasive squamous cell carcinoma. Adenoid cystic carcinoma was positive for CD117 and squamous cell carcinoma was positive for p63. Both the components were also immunoreactive for p16.
Terapi Hiperbarik Sebagai “Penunda” Penuaan Kulit Ditinjau dari Kedokteran dan Islam
Authors: Kartika Rachmadini Agisni , Poerwantoro Bambang , Arifandi Firman
Published: January 2023

Pendahuluan: Penuaan merupakan suatu proses degeneratif yang melibatkan semua organ, salah satunya melibatkan kulit, suatu proses menghilangnya kemampuan suatu jaringan secara perlahan untuk memperbaiki dan mempertahankan struktur serta fungsi secara normal atau fisiologis. Tentunya setiap orang menginginkan agar kulitnya selalu dalam keadaan baik dengan menunda penuaan. Salah satu metode untuk menunda penuaan pada kulit yaitu menggunakan terapi oksigen hiperbarik atau Hyperbaric Oxygen Therapy (HBOT). HBOT merupakan suatu terapi yang dilakukan dengan memberikan 100% oksigen bertekanan kepada pasien. Terdapat beberapa penelitian yang mengatakan bahwa perawatan HBOT pada lansia yang sehat dapat menghentikan penuaan sel darah dan membalikkan proses penuaan. Namun, hingga saat ini HBOT masih menjadi perdebatan di kalangan ulama. HR. Bukhari dan Muslim menyebutkan bahwa perubahan bentuk tubuh itu dilarang. Namun, terdapat salah satu ulama yang berpendapat jika tujuan untuk mempercantik dan merawat diri itu sebenarnya diperbolehkan tanpa mengubah apa pun. Metodologi: Jenis penelitian yang digunakan adalah literature review dengan metode yang digunakan literature review. Hasil: HBOT terbukti dapat memberikan dampak positif terhadap penuaan yang signifikan bagi manusia. Berbagai manfaat HBOT antara lain meningkatkan angiogenesis, bersifat imunomodulator, meningkatkan aktivitas antioksidan, penekanan penuaan seluler, regulasi sel induk dan peremajaan kulit. Sehingga, menjadikan HBOT berpengaruh secara signifikan terhadap kulit. Kesimpulan: HBOT mampu untuk menunda penuaan pada kulit. Namun perlu adanya penelitian lebih lanjut terhadap penggunaan HBOT untuk menunda penuaan karena di khawatirkan adanya efek samping yang buruk jika HBOT digunakan secara terus menerus. Di samping itu, dalam dunia kedokteran Islam belum adanya pengkajian mengenai halal atau haramnya penggunaan HBOT untuk menunda penuaan
Bentuk Tanggungjawab Travel Umroh Ilegal terhadap Konsumen
Authors: Fajrily S. M. Lihawa Juniar , Mohamad Kasim Nur , Nanang Meiske Kamba Sri
Published: January 2023

Banyaknya biro perjalanan yang menawarkan jasa penyelenggaraan ibadah umrah yang bermunculan dengan berbagai paket layanan bukan merupakan suatu masalah. Namun beberapa Travel Ilegal diduga telah melakukan tindak pidana penggelapan, penipuan, dan pencucian uang dengan modus umroh. Untuk itu Travel Ilegal ini harus mempertanggung jawabkan perbuatannya baik secara perdata, pidana, maupun administratif. Jurnal ini bertujuan untuk mengetahui bentuk pertanggungjawaban pihak travel illegal kepada konsumen. Bentuk petanggungjawaban travel illegal kepada konsumen bisa di upayakan melalui jalur hukum untuk menuntut ganti rugi menurut Undang-Undang Nomor 8 Tahun 1999 Tentang Perlindungan Konsumen, pada BAB X tentang penyelesaian sengketa diatur secara tegas pada ketentuan pasal 45 ayat (1).