bluuebunny/crossref_metadata_2025 huggingface dataset:
PERANCANGAN SISTEM INFORMASI DATA POIN PELANGGARAN SISWA BERBASIS WEB DI SMK NEGERI 2 PADANG
Authors: Korti Sevinno , Irsyadunas Irsyadunas , Kurniawan Haris
Published: December 2023

Pelanggaran adalah suatu tindakan yang melanggar aturan yang telah berlaku disuatu tempat. SMK Negeri 2 Padang termasuk salah satu sekolah kejuruan terfavorit di kota Padang, akan tetapi di sekolah tersebut masih banyak terjadi pelanggaran yang dilakukan siswa nya, dan data siswa yang melakukan pelanggaran tersebut masih di rekap secara manual sehingga kerap terjadi kehilangan data. Penelitian ini bertujuan agar tersedianya sebuah sistem informasi tentang perekapan laporan data siswa yang melanggar. Metode yang digunakan pada penelitian ini adalah SDLC (System Development Life Cycle) dengan menggunakan pendekatan air terjun (Waterfall Appoarch) yang memiliki 5 tahapan diantaranya: requirement, design, implementation, verification dan maintenance. Framework yang digunakan yaitu CodeIgniter 3 yang dibuat menggunakan bahasa pemograman PHP.Pada penelitian ini melakukan pengujian alpha dan pengujian beta.Dari pengujian yang telah dilakukan pada sistem informasi data poin pelanggaran siswa berbasis website ini, hasil yang ditunjukkan pada pengujian alpha dengan metode alpha Testing adalah bahwa sistem dapat berjalan dengan baik atau valid procedural.Dari hasil pengujian beta pada validasi yang dilakukan oleh tenaga ahli (ahli sistem) memperoleh nilai dengan rata-rata 88,8% dengan keterangan Sangat Baik, validasi yang dilakukan oleh pengguna memperoleh nilai dengan rata-rata 92,52% dengan keterangan Sangat Baik.
Exploiting Vulnerabilities of ADC Registers in IoT and Control Systems
Authors: Chekole Eyasu Getahun , Thulasiraman Rajaram , Zhou Jianying
Published: December 2023

An analog-to-digital converter (ADC) is a critical part of most computing systems that converts analog signals into quantifiable digital values. Since most digital devices operate only on digital values, the ADC acts as an interface between the digital and analog worlds. As such, ADCs are commonly used in a wide-range of applications, including internet of things (IoT), industrial control systems (ICS), cyber-physical systems (CPS), audio/video devices, medical imaging, digital oscilloscopes, and cell phones, among others. For example, programmable logic controllers (PLCs) in ICS/CPS often make control decisions based on digital values converted from analog signals by ADCs. Due to its crucial role in various applications, ADCs are often targeted by a wide-range of physical and cyber attacks. Attackers often exploit vulnerabilities that could be found in the software/hardware of ADCs. In this work, we first conduct a deeper study in the ADC conversion logic to investigate relevant vulnerabilities that were not well explored by prior works. As a result, we manage to identify exploitable vulnerabilities on certain ADC registers that are involved in the analog-to-digital conversion logic. As a proof of concept, we construct and develop three attack techniques by exploiting the vulnerabilities identified. Finally, we test the attacks on a mini-CPS testbed we designed using IoT devices, analog sensors and actuators. Our experimental results reveal high effectiveness of the proposed attack techniques in misleading PLCs to make incorrect control decisions in CPS. We also analyze the impact of such attacks when launched in real-word CPS testbeds.
String-to-String Coupling Within a Large Photovoltaic Module: Measurement and Circuit-Computational Electromagnetic Hybrid Modelling
Authors: Coetzer Kurt , Wiid Pieter Gideon , Rix Arnold
Published: December 2023

Large photovoltaic (PV) modules comprise multiple series-connected internal strings, which are in turn composed of series-connected PV cells. When excited with time-varying signals, the loops formed by these internal strings couple to each other. Until now, this coupling has not been considered in any radio frequency interference studies of PV systems. This article examines this coupling both practically and computationally as follows. Firstly, the loop-to-loop coupling within a large (310 W) PV module is quantified through a careful series of low-frequency vector network analyser measurements -- the first novel contribution of the study. Secondly, a recently-proposed circuit-computational electromagnetic hybrid methodology is applied to this coupling problem, investigating it computationally – the second novel contribution of the study. The four newly-formulated PV models which utilise this hybrid methodology are assessed, as well as two literature-based models. Thirdly, a comparison of the measured and simulated results is performed – the third novel contribution of the study. This crucial validation step is performed by examining the scattering parameter results, both visually and by means of the acclaimed Feature Selective Validation (FSV) method. The literature-based models exhibit poor FSV correlation in all cases, while the improved models show good-to-excellent FSV accuracy - a vast improvement.
Design and Experimental Evaluation of Cascaded Metasurface Pairs
Authors: Gohel Jayesh , Phaneuf Mario , Mojabi Puyan
Published: December 2023

In this paper, we consider two design procedures for a cascaded metasurface pair. For a particular application, we present and evaluate data from simulations and experiments. We discuss the details and limitations of the two design algorithms, the fabrication process, and the measurement procedure. In particular, we highlight difficulties with respect to the measurement and analysis, as well as the techniques used to address these difficulties.
Numerical review of PbS quantum dots through FDTD modelling on silicon substrates
Authors: malik jamil
Published: December 2023

Quantum dots are nanoscale semiconductor particles that exhibit quantum mechanical properties due to their small size. When quantum dots interact with light, various quantum effects can manifest in the scattering of light. 
Electroencephalogram-based Multiclass Auditory Attention Decoding of Attended Speaker Direction
Authors: Zhang Yuanming , Lu Jing , Lin Zhibin , Chen Fei , Du Haoliang , Gao Xia
Published: December 2023

Decoding the directional focus of an attended speaker from listeners’ electroencephalogram signals is an important part of a practical brain-computer interface device aimed at improving the quality of life for individuals with hearing impairment. Existing works focus on binary directional focus decoding, i.e., determining whether the attended speaker is on the left or right side of the listener. However, the information brought by the binary decoding to the subsequent speech processing algorithm is limited in practical applications, and more precise decoding of the exact direction of the attended speaker is desired. In this paper, we first present a new dataset with 15 alternative speaker directions, and then demonstrate the feasibility of multiclass directional focus decoding of attended speakers by applying our recently proposed learnable spatial mapping (LSM) module, the benefit of which has already been proven in binary decoding scenarios. Apart from combining the LSM module with the convolutional neural network (CNN), we further validate its benefit by combining it with the spectro-spatial-temporal convolutional recurrent network (CRN), a recently proposed state-of-the-art model for binary directional focus decoding. The proposed LSM-CNN and LSM-CRN models achieve a noteworthy decoding accuracy of 85.7% and 87.5%, respectively, in the presented subject-independent dataset with a decision window length of 1 second. Comprehensive experiments not only substantiate the advantages attributed to the LSM module, but also verify the influence of the decision window length, the distraction caused by interfering speakers, and the contribution of different subband of EEG signals.
Fog Computing: A Systematic Review of Architecture, IoT Integration, Algorithms and Research Challenges with Insights into Cloud Computing Integration
Authors: Mahajan Kartik
Published: December 2023

In this research paper, co-authored by Ankit and Kartik Mahajan from Chandigarh University, Punjab, India, we explore the realm of distributed computing with a specific focus on Fog Computing. With the proliferation of the Internet of Things (IoT), we systematically review the architecture, IoT integration, algorithms, and research challenges associated with Fog Computing. Our work underscores the symbiotic relationship between Fog Computing and Cloud Computing (CC), positioning Fog as a critical intermediary layer that addresses challenges such as security, latency, and performance issues faced by integrated CC.

We delve into the historical evolution of distributed systems, tracing the trajectory from the 1970s to the present. The paper introduces a classification system for distributed computing, setting the stage for a detailed exploration of Fog Computing and its significance in the contemporary landscape.

As industries increasingly turn to big data analytics, our research highlights the limitations of traditional cloud-based infrastructure in handling the massive data generated by IoT devices. Fog Computing emerges as a solution, leveraging the processing power of devices near the client to reduce latency and network traffic. We introduce the concept of Fog as a Service (FaaS), wherein multiple fog nodes are strategically deployed to manage resources across different geographical locations.

The core of our research delves into Fog Computing, providing an overview, detailing its architecture, and shedding light on its deployment environment and associated challenges. We present a layered architecture based on various reference frameworks proposed by researchers, offering a comprehensive understanding of Fog Computing.

In essence, our research contributes to the understanding of Fog Computing, offering insights into its integration with IoT, architecture, and the challenges it presents. This paper serves as a valuable resource for researchers, practitioners, and industry professionals navigating the dynamic landscape of distributed computing paradigms.
Large-Scale Inference of Geo-Referenced Power Distribution Grids Using Open Data
Authors: Oneto Alfredo Ernesto , Gjorgiev Blazhe , Tettamanti Filippo , Sansavini Giovanni
Published: December 2023

Power distribution grids host an increasing amount of distributed renewable generators, electric vehicles, and heat pumps worldwide. Distribution grids, however, were not designed with the goal of incorporating large shares of these technologies. These soaring challenges demand accurate and realistic grid models to assess the need for operation strategies and reinforcements that ensure reliable and economic management. Nevertheless, real models are often unavailable due to privacy and security concerns or a lack of digitized data from distribution system operators. To address this issue, we present a framework for large-scale inference of geo-referenced low- and medium-voltage grid models using publicly accessible information on power demand and transport infrastructure. First, we develop a clustering algorithm, which detects load areas served by distribution grids. Then, we obtain the graphical grid layout, i.e., a graph with the street and pathway geometries and the load point connections inside the load area. Next, we introduce a selection method for line types that assigns cost-effective conductors to grid lines while ensuring operational constraints. We demonstrate the effectiveness of our approach by inferring all the low- and medium-voltage infrastructure in Switzerland. Remarkably, the inferred grids present overall power requirements and line lengths statistically aligned with reference grids.
Deployment of Machine Learning Algorithms on Resource-Constrained Hardware Platforms for Prosthetics
Authors: Just Fabian , ghinami Chiara , Zbinden Jan , Ortiz-Catalan Max
Published: December 2023

Motion intent recognition for controlling prosthetic systems has long relied on machine learning algorithms. Artificial neural networks have shown great promise for solving such nonlinear classification tasks, making them a viable method for this purpose. To bring these advanced methods and algorithms beyond the confines of the laboratory and into the daily lives of prosthetic users, self-contained embedded systems are essential. However, embedded systems face constraints in size, computational power, memory footprint, and power consumption, as they must be non-intrusive and discreetly integrated into commercial prosthetic components. One promising approach to tackle these challenges is to use network quantization, which allows complying with limitations without significant loss in accuracy. Here, we compare network quantization performance for self-contained systems using TensorFlow Lite and the recently developed QKeras platform. Due to internal libraries, the use of TensorFlow Lite led to a 8 times higher flash memory usage than that of the unquantized reference network, disadvantageous for self-contained prosthetic systems. In response, we offer open-source code solutions that leverage the QKeras platform, effectively reducing flash memory requirements by 24 times compared to Tensorflow Lite. Additionally, we conducted a comprehensive comparison of state-of-the-art microcontrollers. Our results reveal that the adoption of new architectures offers substantial reductions in inference time and power consumption. These improvements pave the way for real-time decoding of motor intent using more advanced machine learning algorithms for daily life usage, possibly enabling more reliable and precise control for prosthetic users.
Precision at Heart: An IoT-based Vertical Federated Learning Approach for Heterogeneous Data-Driven Cardiovascular Disease Risk Prediction
Authors: Shajimon Sulfikar , Shukla Raj Mani , Patra Amar Nath
Published: December 2023

Cardiovascular disease (CVD) encompasses a wide range of diseases that affect the heart and blood vessels, including coronary artery disease, heart failure, arrhythmia, and stroke. Machine Learning (ML) has been widely used to predict CVD risk based on various factors and is a critical area of healthcare research. However, due to privacy concerns, sharing the data needed to predict CVD with ML is challenging. Even though Federated Learning (FL) enables distributed training of ML models without sharing raw data, it assumes that all training features are available to all clients. To address the problem, we propose a Vertical Federated Learning (VFL) based method that trains ML models in a distributed manner and has different features available to several spatial locations. In this work, each party maintains a portion of separate data features, performs calculations on them locally, and then transfers only the necessary information to jointly train an ML model. We employ the proposed method for different use cases where the data characteristics are split between: i) the patient and the hospital (2 splits); ii) the patient, the doctor, and the laboratory (3 splits); and iii) the patient, the doctor, the Electrocardiogram (ECG) center, and the laboratory (4 splits). We test the proposed methodology on the realistic publicly available dataset
Zerotree Coding of Subdivision Wavelet Coefficients in Dynamic Time-Varying Meshes
Authors: Krivokuca Maja , Malheiros Borges Tomás , de Queiroz Ricardo
Published: December 2023

We propose a complete system to enable progressive coding with quality scalability of the mesh geometry, in MPEG’s state-of-the-art Video-based Dynamic Mesh Coding (V-DMC) framework. In particular, we propose an alternative method for encoding the subdivision wavelet coefficients in V-DMC, using a mesh-based zerotree coding approach. The proposed method works directly in the native 3D mesh space. It allows us to identify parent-child relationships amongst the wavelet coefficients across different subdivision levels, which can be used to achieve an efficient and versatile coding mechanism. We demonstrate that, given a starting base mesh, a target subdivision surface and a desired maximum number of zerotree passes, our system produces an elegant and visually attractive lossy-to-lossless mesh geometry reconstruction with no further user intervention. Moreover, lossless coefficient encoding with our approach is shown to require almost the same bitrate as the default displacement coding methods in V-DMC. Yet, our approach provides several levels of quality resolution within each target bitrate, while the current solutions encode a single quality level only. To the best of our knowledge, this is the first time that a zerotree-based method has been proposed and demonstrated to work for the compression of dynamic time-varying meshes, and the first time that an embedded quality-scalable approach has been used in the V-DMC framework.
Nuclear Fission But with Sparks
Authors: Thakur Usama
Published: December 2023

This abstract encapsulates an exploration into the innovative potential of harnessing sparks and tungsten electrodes to generate energy akin to nuclear fission. Utilizing a mere 100,000 sparks, powered by just 2 tungsten electrodes and a 500,000-watt supply, this approach yields an impressive 3,121 MeV, signaling a substantial reduction in energy consumption compared to traditional methods. Furthermore, this research proposal reveals the ingenious workings of a machine that employs alternating current (AC) waveforms and an electromagnetic cavity chamber to create a focused electron beam, promising the controlled initiation of nuclear fission reactions with remarkable efficiency. This innovative approach presents an alluring solution to the world’s escalating energy needs, underpinned by a profound understanding of the machine’s unique capabilities.
IMPROVED ELECTRONIC BLIND STICK CIRCUIT
Authors: Ekirapa Emmanuel , Mushemeza Tadeo , Atusasire Patience
Published: December 2023

This research paper presents an improved electronic Blind stick which works with the help of three Ultrasonic sensors, one infrared sensor, a toggle switch, one vibrator motor, microcontroller, mp3 player Module and earphones. The ultrasonic sensors are used to detect obstacles in the right, left and front directions while the infrared sensor is used to detect stones and stair cases of buildings. With the help of toggle switch, a user (blind person) will be able to select either vibrations from the vibrator motor or audio output through earphones to inform the user ow distant the obstacle is.
Impedance Matching by Tuner Stubs (Single, Double and Triple) Analytical Method
Authors: Babic Slobodan , Akyel Cevdet
Published: December 2023

In electronics, microwave and RF engineering, the impedance matching is the practice of designing the input impedance of an electrical load or the output impedance of its corresponding signal source to maximize the power transfer or minimize signal reflection from the load. In many cases, the given load needs to be impedance-matched to a transmission line of given characteristic impedance. Usually, it is 50 Ω. In this approach we will work with the different characteristic impendence.
Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Functions
Authors: Mahin Md , Eick Christoph F.
Published: December 2023

This study introduces Norma, a novel association-mining framework tailored for continuous spatial variables analysis. Norma introduces the unique Continuous Variable Threshold (CVT) pattern, aiming to identify a pair of thresholds within the value domain of two continuous variables, revealing strong associations within a specified geographic area. For example, it may unveil a strong association between COVID-19 infection rates above 2% and poverty rates above 15% in New Mexico. Norma associates pointwise functions with each variable-e.g., a function that returns poverty rates for each location in New Mexico. It employs a novel interestingness function, which measures agreement with respect to hotspots where variable pointwise functions exceed associated thresholds. Norma also employs a grid-based spatial hotspot-growing algorithm to discover high-interestingness regions and pairs of thresholds that generate interestingness surpassing a predefined threshold. Furthermore, the framework introduces measures for assessing variable relatedness based on CVT associations. A comparative case study against traditional correlation methods are presented using county-level COVID-19 infection rates and nineteen other socio-economic variables from the continuous United States, and demonstrate how Norma can be used to explore association among subset of values related to spatial continuous variables.
THE EXACT FORMULA FOR THE ELLIPSE PERIMETER
Authors: Nguyen Hiep-Son
Published: December 2023

This is the geometric proof paper of the exact formula for the ellipse's perimeter
Toward an Active Exoskeleton with Full Energy Autonomy
Authors: Knafo Yakir , Manor Avi , Osovizky Alon , Riemer Raziel
Published: December 2023

Exoskeletons aim to enhance human performance and reduce physical fatigue. However, one major challenge for active exoskeletons is the need for a power source. This demand is typically met with batteries, which limit the operational time of the device. A novel solution to this challenge is a design that enables the generation of electricity during motions where the muscles work as brakes, with the energy stored and subsequently returned to assist when the muscles act as motors. This could lead to a fully autonomous exoskeleton. To achieve this goal, a knee exoskeleton design with a direct drive and a novel electronic board was designed and manufactured to capture the energy generated by the wearer’s movements and convert it into electrical energy. The harvested energy is stored in a power bank, and, later, the motion is used to power the exoskeleton motor. Further, the device has torque control and can change the assistive profile and magnitude as needed for different assistance scenarios. Sit-to-stand (STS) motion was chosen as a test case for the exoskeleton device. It was found that, during rising (from sit to stand), the exoskeleton provided up to 7.6 Nm and harvested 9.4 J. During lowering (from stand to sit, (it provided up to 10 Nm and was able to return 6.8 J of the harvested energy. Therefore, the cycle efficiency of the exoskeleton system (return divided by harvesting) is 72.3%. The results show that this technology has the potential to revolutionize exoskeletons and reduce the need for external energy sources.
FreeV:Free Lunch in MultiModal Diffusion U-ViT
Authors: Qiangong Zhou , Zhou Youyu , Wang Yahong
Published: December 2023

This paper reveals the untapped potential of the U-ViT architecture in diffusion models. The study initially explores the contribution of the U-ViT architecture in the visual generation task of multimodal diffusion models and proposes an improvement scheme, ”FreeV”, specifically designed for the U-ViT architecture – marking the first application of the U-Net-based FreeU enhancement framework within the Transformer architecture. The FreeV framework significantly enhances generation quality without requiring additional training or fine-tuning. The key insight of this study lies in balancing the contributions from the backbone network, skip connections, and fused feature maps within the U-ViT to fully leverage the advantages of both components while circumventing the limitations of feature fusion in U-ViT.Project page: https://github.com/GoldenFishes/FreeV 
Zero-shot demographically unbiased image generation from an existing biased StyleGAN
Authors: Jain Anubhav , Dholakia Rishit , Memon Nasir , Togelius Julian
Published: December 2023

Face recognition systems have made significant strides thanks to data-heavy deep learning models, but these models rely on large privacy-sensitive datasets. Recent work in facial analysis and recognition have thus started making use of synthetic datasets generated from GANs and diffusion based generative models. These models, however, lack fairness in terms of demographic representation and can introduce the same biases in the trained downstream tasks. This can have serious societal and security implications. To address this issue, we propose a methodology that generates unbiased data from a biased generative model using an evolutionary algorithm. We show results for StyleGAN2 model trained on the Flicker Faces High Quality dataset to generate data for singular and combinations of demographic attributes such as \textit{Black and Woman}. We generate a large racially balanced dataset of 13.5 million images, and show that it boosts the performance of facial recognition and analysis systems whilst reducing their biases. 
GRU-Based Fusion Models for Enhanced Non-Invasive Blood Pressure Estimation from PPG Signals
Authors: Rizal Syamsul , yuniarti ana rahma
Published: December 2023

The current study presents a novel, non-invasive method for estimating both systolic and diastolic blood pressure by combining photoplethysmogram (PPG) signals with physiological data, such as sex, age, weight, height, heart rate, and BMI, using two Gated Recurrent Units (GRUs) models. The first model processes dynamic patterns in PPG signals, while the second model incorporates physiological parameters. Both models are connected through a series of dense layers. To prepare the datasets for the GRU framework, rigorous preprocessing was conducted. This resulted in a robust architecture capable of accurately predicting systolic and diastolic blood pressure. The proposed method achieved a Mean Absolute Error (MAE) of 1.458 for systolic and 1.164 for diastolic blood pressure. These findings demonstrate the potential of this approach for continual and non-intrusive blood pressure monitoring in wearable health technology. The study’s results also make a significant contribution to the field of medical monitoring technology. The proposed solution addresses a major limitation in traditional blood pressure measurement practices and paves the way for advancements in personalized health monitoring, particularly for managing hypertension and cardiovascular conditions.

 
Automatic Stub Avoidance for a Powered Prosthetic Leg over Stairs and Obstacles
Authors: Cheng Shihao , Laubscher Curt , Gregg Robert
Published: December 2023

Passive prosthetic legs require undesirable compensations from amputee users to avoid stubbing obstacles and stairsteps. Powered prostheses can reduce those compensations by restoring normative joint biomechanics, but the absence of user proprioception and volitional control combined with the absence of environmental awareness by the prosthesis increases the risk of collisions. This paper presents a novel stub avoidance controller that automatically adjusts prosthetic knee/ankle kinematics based on suprasensory measurements of environmental distance from a small, lightweight, low-power, low-cost ultrasonic sensor mounted above the prosthetic ankle. In a case study with two transfemoral amputee participants, this control method reduced the stub rate during stair ascent by 89.95% and demonstrated an 87.5% avoidance rate for crossing different obstacles on level ground. No thigh kinematic compensation was required to achieve these results. These findings demonstrate a practical perception solution for powered prostheses to avoid collisions with stairs and obstacles while restoring normative biomechanics during daily activities.
Cholecystectomy Surgical Instrument Detection Using Variants of YOLOv8
Authors: Raja Muhammad Adil , Loughran Roisin , Mc Caffery Fergal
Published: December 2023

As algorithms get better at their accuracy and computational efficiency, they invoke curiosity among the affected scientific communities to check if they can benefit from newer versions or not. Computer vision is one such domain that has observed rapid growth in terms of algorithmic advancements. The advent of deep learning was itself a catalyst for agile innovation. Coupled with rapid improvements in algorithms for object detection, the speed of innovation has become tremendous. And so there are many engineering and scientific disciplines that leverage object detection, any improvement in the latter has a ripple effect on the erstwhile. Computer Aided Laparoscopy (CAL) has come a long way due to object detection algorithms based on deep learning. Yet, every once in a while a new algorithm is released. It is tempting to see how a new algorithm may have affected the tool detection accuracy and efficiency in CAL. Recently version 8 of the famous You Look Only Once (YOLO) algorithm was released. Like all the past releases, it has been claimed that this version is better at detection accuracy as well as computational efficiency. This paper examines the performance of YOLOv8 at tool detection in a CAL context. We employed a well-known laparoscopy tool detection benchmark dataset in this research. Models with superior performance have been obtained as a result of this research. Models are superior in terms of both detection accuracy as well as inference speed. Moreover, the models are ready to be deployed into a production environment. The results that are reported in this paper are not only useful for the surgical community but also for the benchmarking of the YOLO algorithm.
Padé a coustoporoelasticity for 3D wave propagation in prestressed porous rocks with inelastic deformations
Authors: Zheng Haochen , Fu Li-Yun , Yang Haidi , Fu Bo-Ye , Deng Wubing
Published: December 2023

In this paper, we extend the velocity-stress acoustoporoelastic formulation from 2D to 3D, and Padé acoustoelasticity to Padé acoustoporoelasticity. Applications to experimental data with porous rocks differentiate the acoustoelasticity, acoustoporoelasticity, and Padé acoustoporoelasticity in accuracy. The SSG-FD numerical method was used to simulate the propagation of elastic waves in both 3D acoustoporoelastic and Padé acoustoporoelastic media. By comparing the theoretical and calculated wave velocities, the presented numerical scheme is verified using plane-wave theoretical solutions. 
KEMAMPUAN BERPIKIR KREATIF MATEMATIS SISWA MENGGUNAKAN MODEL PEMBELAJARAN OPEN ENDED
Authors: Sidik Muhammad Anwar , Desmayanasari Dwi , Noprisa Noprisa
Published: December 2023

Penelitian ini bertujuan untuk meneliti perbedaan peningkatan kemampuan berpikir kreatif matematis siswa dengan model pembelajaran open ended. Penelitian ini menggunakan metode kuasi eksperimen dengan desain pretest-posttest control group. Subjek Penelitian ini adalah siswa kelas VII di salah satu MTs kota Bandar Lampung sebanyak 60 siswa. Dalam penelitian ini terdapat dua kelas, yaitu kelas eksperimen sebanyak 30 siswa yang memperoleh pembelajaran dengan model pembelajaran open ended dan kelas kontrol sebnyak 30 siswa memperoleh pembelajaran dengan pendekatan saintifik. Instrumen penelitian ini menggunakan tes kemampuan berpikir kreatif matematis siswa dengan mengacu padaindikator kemampuan berpikir kreatif matematis. Hasil penelitian ini menunjukan secara keseluruhan peningkatan kemampuan berpikir kreatif matematis siswa yang memperoleh pembelajaran dengan model pembelajaran open ended tidak lebih baik dari siswa yang memperoleh pembelajaran dengan pendekatan saintifik.
PENGARUH MODEL PEMBELAJARAN THINK TALK WRITE (TTW) TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIS PESERTA DIDIK
Authors: Margaretha Devy , Lestari Fitria , Efendi Deni
Published: December 2023

Penelitian ini bertujuan untuk meneliti pengaruh model pembelajaran Think Talk Write terhadap kemampuan pemecahan masalah matematis peserta didik. Penelitian ini menggunakan quasi experimental design dengan bentuk nonequivalent control group design. Jumlah subjek penelitian sebanyak 47 peserta didik kelas VIII tahun pelajaran 2019/2020 salah satu SMP di Lampung Selatan. Pemilihan subjek berdasar pada pendapat guru, terpilih peserta didik kelas VIII A berjumlah 23 peserta didik sebagai kelompok eksperimen yang diberi model pembelajaran Think Talk Write dan peserta didik kelas VIII B berjumlah 24 peserta didik sebagai kelompok kontrol menggunakan pendekatan saintifik dengan metode diskusi. Instrumen penelitian berupa tes kemampuan pemecahan masalah matematis peserta didik. Data hasil uji normalitas, homogenitas, uji t, dan uji skor N-Gain pretes-postes kemampuan pemecahan masalah matematis menunjukkan bahwa: (1) tidak terdapat pengaruh model pembelajaran TTW terhadap kemampuan pemecahan masalah matematis peserta didik; (2) peningkatan kemampuan pemecahan masalah peserta didik yang menggunakan model pembelajaran Think Talk Write tidak lebih baik daripada peserta didik yang menggunakan pendekatan pembelajaran saintifik dengan metode diskusi.
حجاجية أفعال اللغة وقضويتها في خطاب الآباء والأبناء في نهج البلاغة (الطلبيات نموذجاً)
Authors: السُّلطانيّ إيمان , محسن أشواق
Published: December 2023

إنَّ مَنْ أسَّس نظرية أفعال الكلام العالم جون أوستن , وهو من وضع لها المصطلح الذي عرفت به في الفلسفة واللسانيات إلى الآن , وقسم أوستن الأفعال بحسب قوتها الإنجازية إلى خمسة : أفعال الأحكام , وأفعال القرارات , وأفعال الإلتزام والتعهد , وأفعال السلوك , وأفعال الإيضاح , وأكمل مسيرته تلميذه الذي وقف على هذه الأفعال , فبيَّنّ ضعفها , وأنَّها لم تقم على أسس واضحة , عدا أفعال التعهد , فقام بتصنيف آخر للأفعال مبني على أسس منهجية مقسمًا إياها إلى خمسة أيضًا: الإخباريات , والتوجيهيات , والوعديات ,و الإعلانيات , والتعبيريات .وقام الدكتور محمود أحمد نحلة برسم خطوات أولى لنظرية عربية لأفعال الكلام منطلقًا  من تقسيم العرب لكلامهم إلى : الخبر , والإنشاء , وهذا هو الأساس نفسه الذي انطلق منه جون أوستن في أفعاله الكلامية , وقسم الدكتور محمود أحمد نحلة الأفعال حسب قوتها الإنجازية إلى : الإيقاعيات وتقابل الإعلانيات عند سيرل والإخباريات  , والإلتزاميات وتقابل الوعديات  , والتعبيريات , والطلبيات التي تقابل التوجيهيات عند سيرل .

       والطلبيات (التوجيهيات) هي إحدى أنواع الأفعال الكلامية العربية التي عرفها العلماء العرب القدامى بهذا الاسم ؛ كونها تطلب من المخاطَب شيئًا ما بوساطة : الأمر , والاستفهام , والنداء , والتمني , وقد أخرج الدكتور. محمود التمني فلا يعده من الطلبيات , وقد أضاف العالم الفرنسي ديكرو فعلين لأفعال أوستن هما فعل الحجاج ويعني المسار المعين المتوقع للوصول للنتائج  , وفعل الاقتضاء : وهو المفهوم التداولي الدلالي الذي يعني كل تواصل لساني يكون منطلق الشركاء فيه من الثقافات , والافتراضات المعترف بها بينهم , ويتمُّ إدراكه بطريق العلامات التي يتضمنها القول, والطلبيات في نهج البلاغة تؤدى بـ : الأمر بأنواعه , والنهي , والاستفهام , والنداء, وربما اجتمعت كلُّها في كلام واحد له (عليه السلام) , وتكون بأفعال مباشرة ؛ أي حرفية , أو بأفعال غير مباشرة ؛ أي غير صريحة لا يمكن أن تنجز بوساطة اللفظ وحده , وهو ما سنراه في هذا البحث .
رمزية المكان (الطلل) في شعر حسام الدين الحاجري
Authors: المهداوي محمد , محمد صادق
Published: December 2023

تعد الرموز من التقانات المهمة  التي تثير فضول المتلقي وتزيد رغبته في الوصول الى قصد الشاعر ، والكشف عن دلالاتها القارة داخل نتاجه الشعري ، فديناميكية الرمز تكفل ولوج القارئ الى عمق النص ، فعمل القارئ يصبح فضاء لقراءات متعددة ، ذات الدلالة البعيدة عن الواقع المذكور ، إذ ان الرمز المكاني في النص الأدبي أداة فاعلة في كشف الخبايا النصية المفروزة من دلالاته في بعده المعبر عن البوح المكنون في أهواء الشاعر المكبوتة في دواخلها والمنطوية على ذاتها ، لذا فان اختيار هذا الموضوع يعد محاولة لتسليط الضوء على تلك الرموز وبخاصة الطللية منها ، وإظهار أهميتها في شعر حسام الدين الحاجري ، وما دامت الرموز متعلقة بالقارئ أكثر من ارتباطها بالنص ، لذا وجب على القارئ تفكيك تلك الرموز ، فهذا البحث قائم على رصدها والكشف عن مكنوناتها وبخاصة الرموز (الطللية) بوصفها مكانا محملا بأبعاد وايحاءات كثيرة .
مظاهر القلق في القصيدة النسوية العراقية الحديثة (الاستهلال والانزياح والتضاد) مثالاً.
Authors: الغزالي رغد , الخالدي وسام
Published: December 2023

خصص البحث (ظاهرة  القلق في مصطلحات بنائية القصيدة النسوية (الاستهلال والانزياح والتضاد) مثالاً.) متضمناً اثر الاستهلال  واثر الانزياح واثر التضاد على القصيدة لبيان المواقف النسوية , وقد كثرت البواعث المرتبطة بالشخصية بحسب مصادرها ، فقدعُدَّ الباعث النفسي من مصادر القلق المهمة موضوعه موجوداً في العالم الخارجي، وهي حالة وقف عندها العلماء ، وانتقل هذا الموضوع الى الادب فتحرى النقاد تلك المصادر التي يتعرض لها الانسان  وتسب له قلقاً يظهر في سلوكه بشكل عام ، وقد افاد البحث من التقسيمات التي رآها المختصون وثبتوها في كتبهم ، وعليه جاءت التقسيمات التي تخص بواعث القلق في القصيدة النسوية ، ومنها :البواعث الشخصية (الذاتية  )  . نســتنتج من ذلك ان هذا الفن  يعبر عن القلق تعبيرا واضحا ,فهو تساؤل عن قضية غامضة مجهولة عصية على التفسير, فهو يحتاج الى إيقاع مؤثـر لدى القاريء او السامع  ، وذلك ما تجسد عند الشاعرة نازك الملائكة و أنها قد استعملت أساليب متنوعة في جذب انتباه القارئ والسامع واستمالته وتشويقه بحسب موضوعات القصائد.ومن هنا نفهم ان  بواعث القلق قد شكلت مع القصيدة النسوية محوراً رئيسياً من محاور تعبير الشاعرات عن احاسيسهن وقلقهن وعواطفهن الحزينه فكونت نتاجاً ثرا له ميزاته الخاصة والمميزة  .
التعرف علی المزایا النسبیة الظاهرة التجارية والصناعة للعراق
Authors: التمیمي حسین , خداپناه مسعود
Published: December 2023

في هذا البحث ثم تجميع آراء مختلف علماء الاقتصاد من أدام سمث و فردریک لیست حتی دتی رودریك و ریکاردو هاسمن، حول طريقة اختيار البضاعات التي يجب اتنا جها لكل دولة في بداية مسيرة نموها. البحث بين أن الآراء التقليدية في هذا المجال تنقسم الى قسمين رئيسيين. سياسات توسعة الاقتصاد و هي مقترح الاقتصاد المتعارف عليه للدول. و سپاسات بديل الاستيراد و هي حصيلة دراسات تجريبية لعلماء امثال: آلبرت او هیرشمن ، رائول بر بیش و سائر البنيويين في بلدان امیرکا اللاتينية. عموما يمكن القول: أن البلدان المتنامية من أجل المناسقة مع البلدان النامية في المسير الحالي بحاجة إلى تدخل مؤثر من الحكومات. بقبول هذا الأمر و هو لزوم دعم الصنائع من قبل الحكومات يتبادر هذا السؤال إلى الذهن و هو أي الصنائع؟ طرحت أحدث الآراء حول طريقة اختيار البضائع التي يجب أن تكون هدفا للتنمية من قبل ریکاردو ماسين، هذه النظرية التي عرفت بنظرية الصعوبة الاقتصادية تربط صعوبة الاقتصاد و المحاصيل المختلفة بعلاقة مترابطة مع البعض لقیس در چه صعوبة الاقتصاد في أي بلد و صعوبة المحاصيل المختلفة. الدلالات الواصلة من هذه النظرية تقول : أن كل بلد يجب أن يتخصص في إنتاج بضاعة ما.
المفارقة الأنويّة في شعر محمود درويش" ديوان الأعمال الجديدة نموذجاً "
Authors: المراد حيدر
Published: December 2023

استقطبت فكرة المفارقة اهتمام العديد من الدّراسات، بوصفها تقنيّة أسلوبيّة، تحقّق شعريّة وانحرافاً في البنية، فهي تحقّق المتعة، وتستطيع إيصال الرسائل بأقل الوسائل، ولا سيّما عند انقلابها إلى الضّد، محدثةً الدّهشة والصّدمة لدى المتلقّي. ومُنجَز محمود درويش مليء بالمفارقات التي تنم على سعة ثقافة واطّلاع، ونمطية حياة قلقة، إذ إنّ طبيعة حياته الموزّعة على المنافي، كانت تمدّ الشاعر بالرؤى التي تتناقض والواقع، والتي انعكست على إنتاجه  في خلق المفارقة في نصه.

تجول هذه الدراسةُ في إماطة اللثام عن المفارقة الأنويّة وتقنياتها، وتحديدِ اشتغالاِتها في نصوصِ الشاعر " محمود درويش"، في أعماله الأخيرة ؛ ديوان :حالة حصار 2002م ، كزهر اللوز أو أبعد 2005م  ، ديوان :لا أريد لهذي القصيدة أن تنتهي 2009م ، ديوان: أثر الفراشة 2009م.

والمفارقةُ تستدعي أدواتٍ نقديّةً تنتمي إلى الرؤية النقديّة الجديدة، التي تهتمُّ بالبحث المعرفي، والكشفِ التحليلي عن كينونة الإبداع ِ، من خلال إظهارِ الوظائفِ الجماليّةِ للنّصّ، وتحديدِ ضروبِها المختلفة.
الاستعارة التصورية في الخطاب التنويري عند هاشم صالح في ضوء اللسانيات الادراكية
Authors: علوي كريم
Published: December 2023

البحثُ مُقاربة لسانيَّة للاستعارة التَّصوريَّة في الخطاب الَّتنويريّ للمفكر العربيّ السُّوريّ هاشم صالح في ضوء نظرية (جورج لايكوف) و(مارك جونسن) حول الاستعارة التَّصوريَّة ،وقد درس البحثُ كيفيةَ تَمَثُّلِ خطاب صالح أفكار تحديث الواقع العربي ونَقْدِ العقبات التَّاريخيَّة والاجتماعية التي تحول دون تقدمه ، وهِي  أفكارٌ تَجريديَّة جرى تَمَثُّلُها عبر استعاراتٍ واقعيَّة  يوميَّة غيرِ إبداعيَّةٍ ، وتلخصتْ أهدافُ البحثِ فيْ الكشفِ عن أنساق الاستعارات التَّصوريَّة فيْ خطاب صالح وفاعلية تلك الاستعارات في انسجام خطابه والكشف عن المجال المصدر لتلك الاستعارات الذي يَصبُّ فيْ مَعْرِفَةِ مرجعياتِ خطابهِ وخصوصيتها الثَّقافيَّة والفكريَّة . وقد  اشتمل البحث على تمهيد تضمَّن مفهومَ الخطاب  والخِطاب التَّنويريّ ودراسة الخطاب في ضوء اللِّسانيَّات  الذِّهنيَّة والاستعارة التَّصوريَّة ، والمبحثُ الأولُ اشتملَ على دراسة الاستعارة البنيويَّة  وأهمِ أنماطِها ، والمبحث الثاني درس الاستعارةَ الاتجاهيَّةَ الفضائية َ  والمبحثُ الثَّالث اهتم بدراسة الاستعارة الوجوديَّة وتَمَثُّلِها للأفكارِ المجردة.
Mean Platelet Volume to Lymphocyte Ratio: A New Biomarker Predicting Response in Patients with Solid Tumors Treated with Nivolumab
Authors: Yildirim Hasan Cagri , Kus Fatih , Guven Deniz Can , Karaca Ece , Kaygusuz Yunus , Dizdar Omer , Aksoy Sercan , Erman Mustafa , Yalcin Suayib , Kilickap Saadettin
Published: December 2023

Introduction

Although immune checkpoint inhibitors (ICIs) are widely used in cancer treatment, identifying factors that predict treatment response remains a challenge in clinical practice. There is a need for biomarkers to identify patients who may not benefit from these treatments. It is crucial to identify a simple and cost-effective biomarker that can be easily incorporated into clinical practice. This study aims to investigate the mean platelet volume to lymphocyte ratio (MPVLR), as measured by a hemogram test, and median overall survival (mOS) in patients with cancer treated with nivolumab.

Methods

A total of 131 adult patients with metastatic cancer, including malignant melanoma (MM), renal cell carcinoma (RCC), non–small cell lung cancer (NSCLC), and head and neck cancer (HNC), were included in this study. Baseline demographics, ECOG (Eastern Cooperative Oncology Group) performance status, tumor type, and blood count parameters were recorded. Univariate and multivariate analyses were conducted to evaluate potential risk factors.

Results

The median age of the patients was 59.87 ± 11.97 years, and the median follow-up period was 20.20 months (IQR, 12.80–27.60). RCC (43.5%) and MM (25.9%) were the most common diagnoses. Patients with ECOG scores of 0–1 had a longer mOS than those with scores of 2–3 (mOS: 20.60 months [95% CI, 14.94–25.29] vs. 5.24 months [95% CI, 0–16.42], p < 0.001). Additionally, patients with lactate dehydrogenase (LDH) levels within the normal range had a longer mOS than those with high LDH levels (mOS: 24.54 months [95% CI, 14.13–34.96] vs. 13.10 months [95% CI, 4.49–21.72], p = 0.038). Patients with low MPVLR also had a longer mOS than those with high MPVLR (mOS: 33.70 months [95% CI, 25.99–41.42] vs. 11.07 months [95% CI, 6.89–15.24], p < 0.001). In the multivariate Cox regression analysis, high MPVLR, ECOG score of 2–3, and high LDH level were associated with shorter mOS (p < 0.001, p = 0.001, and p = 0.046, respectively).

Conclusion

This study demonstrates that MPVLR could serve as a novel biomarker for predicting response to nivolumab treatment. Incorporating MPVLR into clinical practice may aid in identifying patients who are less likely to benefit from the treatment.
Pengaruh Online Travel Agent terhadap Pemesanan Kamar di Mercure Nexa Bandung
Authors: Sitompul Sabar , Nurbaeti Nurbaeti
Published: December 2023

Technology information development changed the customer behaviour in desire in booking hotel room. Online Travel Agent is one of the most advanced products that is currently booming and change the room reservation pattern from direct reservation or go show to room reservation by Online Travel Agent. The purpose of this study was to find the information why the booking pattern changed from direct reservation to online travel agent in order to improve the e-commerce in maintain the guest to still choosing Mercure Nexa Bandung as their preferred hotel to stay in Bandung. The result of the study shows Online Travel Agent can increase hotel occupancy rate because they are accessible, efficient and effective at competitive prices as well the hotel costs with sales cost, fees and employee payroll expenses. Hotel’s management support in developing OTA is needed as an effort to increase number of room reservation from OTA.
El lenguaje de la demolición y el embellissement de París, de Voltaire a Baudelaire.
Authors: Narváez Angelo
Published: December 2023

En este artículo se aborda la relación entre la demolición y el embellecimiento de París durante el siglo xix desde diferentes perspectivas literarias y filosóficas que permitan situar en diferentes contextos narrativos la interpretación de la ciudad como un espacio metropolitano signado por la autopercepción como capitale du xixe siècle. Desde los primeros planos trigonométricos hasta la noción de transformación, la imagen de la ciudad como un espacio privilegiado y representativo de la transformación del presente aparece con diferentes matices en las obras de Voltaire, Verne, Hugo y Baudelaire, no solamente como una dimensión expresiva común, sino también como un espacio de conflicto de posición política, estética e ideológica. En este sentido, este trabajo se propone rastrear esas inflexiones, insistencias y resistencias a las formas concretas de la relación demolición/embellecimiento institucional.
Antropofagia, baños y disecciones
Authors: Zeiter Melina
Published: December 2023

El rejuvenecimiento de Esón, uno de los episodios del mito de Medea relatado por Ovidio, es una escena extensa, cuya representación visual fue escasamente difundida en la Antigüedad. Las primeras imágenes parecerían datar de mediados del siglo XV. Las representaciones visuales producidas desde entonces pueden clasificarse en dos grandes patrones: los manuscritos franceses y las ediciones venecianas de las Metamorfosis. El presente artículo analiza los modos en que fue representada esta escena desde esa fecha hasta principios del XVI. Su objetivo, por un lado, es identificar tendencias generales, diferencias regionales y quiebres temporales; por el otro, postular algunos repertorios iconográficos que podrían haber inspirado los dos patrones antes mencionados.
Estética e imagen fotográfica
Authors: García Canclini Néstor
Published: December 2023

En este texto se analiza la “fascinación” que deriva de la práctica fotográfica y su capacidad para acercar y distanciar a los sujetos de lo real, para volver al mundo simultáneamente íntimo y lejano. Tanto los turistas que la practican en sus viajes como los fotógrafos creativos que buscan una perspectiva desacostumbrada, ven en las imágenes fotográficas modos de atestiguar sus salidas de la rutina. Se reflexiona también sobre cómo la fotografía puede sacar al sujeto de lo ordinario cuando, al usarla como instrumento de investigación, se persigue el desenmascaramiento de lugares comunes. No sólo las fotos se hacen en los viajes. La foto puede ser pensada en tanto viaje: como un camino de la memoria. Exploración de lo que todavía no es o está latente entre las cosas. Mirar una foto es siempre mirar hacia otra parte; tomarse fotos es estar yendo hacia el lugar en el cual uno será mirado.