Miracle-dz/UniFAR-FTUs huggingface dataset:
Benchmark of machine learning algorithms on capturing future distribution network anomalies

The conventional distribution network is undergoing structural changes and becoming an active grid due to the advent of smart grid technologies encompassing distributed energy resources (DERs), aggregated demand response and electric vehicles (EVs). This establishes a need for state estimation-based tools and real-time monitoring of the distribution grid to correctly apply active controls. Although such new tools may be vulnerable to cyber-attacks, cyber-security of distribution grid has not received enough attention. As smart distribution grid intensively relies on communication infrastructures, the authors assume in this study that an attacker can compromise the communication and successfully conduct attacks against crucial functions of the distribution management system, making the distribution system prone to instability boundaries for collapses. They formulate the attack detection problem in the distribution grid as a statistical learning problem and demonstrate a comprehensive benchmark of statistical learning methods on various IEEE distribution test systems. The proposed learning algorithms are tested using various attack scenarios which include distinct features of modern distribution grid such as integration of DERs and EVs. Furthermore, the interaction between transmission and distribution systems and its effect on the attack detection problem are investigated. Simulation results show attack detection is more challenging in the distribution grid.
Optical Tracker Assessment for Image Guided Surgical Interventions

Optical tracking systems are extensively used in minimally invasive image-guided surgeries. The efficiency of such a system depends on the precise tracking of surgical tools. The optimal setup of the navigation system and calibration of the tool are the predominant factors that affect the tracking accuracy. We have developed and implemented customized filtering and calibration algorithms on a cost-effective camera, the fusionTrack 500 manufactured by Atracsys. Deployment of these in-house algorithms and protocols have shown a significant increase in the tracking accuracy. Extensive validations were conducted on fusionTrack 500 and benchmarked against NDI Polaris Vega, an industrial standard camera. ASTM phantom was used to validate the tracking accuracy of the navigation system. A Deldrin-based phantom was designed particularly to evaluate the Target Registration Error. Further, a volumetric study was carried out to assess the relative position error between cameras, using a 3D FARO arm CMM. The proposed calibration method implemented on the Atracsys camera shows a 33.7% improvement in the tracking accuracy compared to its native algorithm. Target Registration Error for NDI camera was observed to be 1.2 mm and Atracsys was 0.8 mm, which depicts a 0.4 mm enhancement. Incorporating these algorithms would allow us to effectively integrate cost-effective optical tracking systems into image-guided navigation systems.
Islam in Human Resources Management and Organizational Behavior Discourses

The importance of religion in management studies is rising and is better appreciated nowadays. As one of the major acknowledged and one of the most misunderstood religions globally, Islam and all things related to Muslims in the workplace should also gain more attention from the management scholars to promote better understanding and mutual respect. This paper tries to answer the broad question of ‘what are the main themes of Islam in Human Resources Management (HRM) and Organizational Behavior (OB) discourses? ’. The paper identifies three focal themes within the topic: current workplace circumstances for Muslims; Islamic religiosity from HRM and OB perspectives; and Islamic viewpoint of work. Through the narrative review approach, this paper establishes three contributions. The first contribution is to discuss the essential issues of Islam and Muslims in HRM and OB discourses. Second, this paper bridges the contemporary HRM-OB discourses and Islamic teachings. Third, this paper suggests possible discussion points for further advancement of Muslims in the workplace topic.
Intrinsic brain activity patterns across large‐scale networks predict reciprocity propensity

Reciprocity is prevalent across human societies, but individuals are heterogeneous regarding their reciprocity propensity. Although a large body of task‐based brain imaging measures has shed light on the neural underpinnings of reciprocity at group level, the neural basis underlying the individual differences in reciprocity propensity remains largely unclear. Here, we combined brain imaging and machine learning techniques to individually predict reciprocity propensity from resting‐state brain activity measured by fractional amplitude of low‐frequency fluctuation. The brain regions contributing to the prediction were then analyzed for functional connectivity and decoding analyses, allowing for a data‐driven quantitative inference on psychophysiological functions. Our results indicated that patterns of resting‐state brain activity across multiple brain systems were capable of predicting individual reciprocity propensity, with the contributing regions distributed across the salience (e.g., ventrolateral prefrontal cortex), fronto‐parietal (e.g., dorsolateral prefrontal cortex), default mode (e.g., ventromedial prefrontal cortex), and sensorimotor (e.g., supplementary motor area) networks. Those contributing brain networks are implicated in emotion and cognitive control, mentalizing, and motor‐based processes, respectively. Collectively, these findings provide novel evidence on the neural signatures underlying the individual differences in reciprocity, and lend support the assertion that reciprocity emerges from interactions among regions embodied in multiple large‐scale brain networks.
High Voltage Frame and Differential Charging Observed on a Geosynchronous Spacecraft

We have studied the frequency and levels of frame and differential charging on a geosynchronous satellite since August of 1995. High voltage differential charging was measured with Surface Potential Monitors (SPM) for two typical spacecraft surfaces (Kapton and Astroquartz). Frame charging was determined using an ion electrostatic analyzer. In addition, the integrated electron population between 20 and 50 keV was also measured. The statistical study includes frame and differential charging over a three-year period. We also address the ability to reduce the charging levels using an autonomous Charge Control System (CCS). The CCS releases a Xenon plasma to help provide current balance when high fluxes of electrons impinge on the spacecraft. A case study of a charging event will focus on identifying the population responsible for charging, current balance issues and differences in charging levels as observed by the SPM and the ion analyzer.
A Study on Credit Data-Based Poverty Alleviation in Rural Yunnan, China

The main path of development credit funds in rural poverty alleviation in Y province is crucial. This paper studies the rural poverty alleviation work in extreme poverty areas in Yunnan and puts forward targeted and instructive policy suggestions for specific difficult areas. Research the relationship between credit resource allocation and rural poverty alleviation. The existing research is mainly based on the relationship between financial development and economic growth, income growth, income distribution, and, on the surface, the relationship between the scale of financial development and the efficiency of financial development and other indicators. The purpose is to put forward targeted measures and suggestions on the basis of theoretical research and model analysis to help the Yunnan banking industry support poverty alleviation. The results of the study show that there is a causal relationship between agriculture-related loans.
ANALYSIS OF SWIMMING TECHNIQUES USING VORTEX TRACES

Propulsion in water is based on the interaction of motion body and water, respectively (under the condition of limited energy reservoir). The swimming movements are transmitting momentum creating a flow in the aquatic surrounding. Self-propulsion is a mutual result of a transfer of momentum from the propelling parts of the body on the water as well as a transfer of impulse from the water on the body, producing a counter bearing (a term indicating the application of Newton’s 3rd Law) and leaving thereby some traces. In water the traces are useful for discussions about the efficiency of swimming techniques. Here the traces of vortex (a common term for mass of whirling fluid) are emphasised. Vortices occur in different organized patterns, as trailing vortex next to the hands (front driven body) or rolling vortex in the wake of the feet (rear driven body). Trailing vortex create a zone of underpressure: it is hypothised that the hand is resited by this suction from the intended pull through the water and thus the action of the trunk-arm muscles propels the body past the hand. Rolling vortex may transfer a power stroke to the body in case the sense of its rotation is altered.
Point cloud-based residual analysis of complex blank structural parts and robot scribing control technology

With the in-depth development of intelligent manufacturing, the application technology of robot in many aspects is gradually improved. Robot marking is a technology to replace the traditional manual automatic marking process for complex blank structural parts. For a long time, the blank marking basically adopts manual marking. For some blank parts with complex structure and large difference in shape, often workers can not find the processing datum, so often lead to inaccurate positioning datum of this complex structural parts processing, which leads to the processing accuracy of the whole parts can not be guaranteed, and even scrap parts. Focusing on the goal of improving production efficiency and the rationality and accuracy of scribing, carry out comprehensive analysis and execution strategy of processing allowance allocation for complex blanks, blank point cloud data acquisition technology and scheme formulation based on non-contact scanning, and point cloud based analog matching The technical research on the optimal allocation of quasi-analyzed allowances, and the control of automatic robot marking execution, greatly improves production efficiency. This paper studies point cloud registration, machining allowance analysis and robot scribing attitude control methods.
Studies in certain planar field theories

A detailed study of certain apspects of some 2+1 dimensional field theories is presented with special emphasis on the role of Wigner's little group for massless particles in generating gauge transformations. The planar models considered here include topologically massive gauge theories like Maxwell-Chern-Simons(MCS) and Einstein-Chern-Simons (ECS) theories, non-gauge theories such as Maxwell-Chern-Simons-Proca(MCSP) and Einstein-Pauli-Fierz(EPF) models and also the Stuckelberg embedded gauge invariant versions of many massive theories. Using polarization vectors/tensors, several interrelationships between various theories are uncovered and related issues are elucidated. It is shown that the translational subgroup of Wigner's little group for massless particles generate the momentum-space gauge transformations in all the Abelian gauge theories considered here. While the defining representation of the little group generates gauge transformations in massless gauge theories, a different representation is shown to be necessary in the case of gauge theories having massive excitations. The analysis of the gauge generating nature of the translational group is also extended to theories living in higher space-time dimensions. A method named (\it dimensional descent} is used to systematically derive the polarization vector/tensor and the gauge transformation property of a lower dimensional theory from those of an appropriate higher dimensional theory.
Phase Noise Analysis of Resonator-Enhanced Electro-Optic Comb-Based Analog Coherent Receivers

We present an architecture for wavelength-division-multiplexed coherent data center links employing resonator-enhanced electro-optic frequency comb generators as both transmitter and local oscillator (LO) sources. We show that in each frequency comb, the phase noise in all comb lines is determined completely by the optical phase noise of the seed laser and the phase noise of the microwave oscillator. We propose an analog coherent receiver that performs carrier recovery on all wavelength channels using only two phase-locked loops. We use an independent cascade of phase shifters driven by marker tone detection in each channel for polarization recovery and compensation of a static optical phase shift. We study design examples for quadrature phase-shift keying and 16-ary quadrature amplitude modulation (16-QAM), determining requirements on the transmitter and LO seed laser linewidths and the LO frequency modulation (FM) response. We find that for a dual-polarization (DP) 16-QAM link with 17 wavelength channels, each operating at 56 GBaud, if the combined linewidth of the transmitter and LO seed lasers is 100 kHz, the LO seed laser requires an FM response that is flat from d.c. to several hundred MHz to maintain a phase-error penalty below 1 dB.
Lattice‐based batch authentication scheme with dynamic identity revocation in VANET

Aggregate signatures allow someone to aggregate multiple signatures into one signature, which is suitable for resource‐constrained and computationally inefficient environments. Identify‐based aggregate signature can solve the storage problem of public key certificates while achieving efficient signature verification. However, in most of the identity‐based aggregate signature schemes, the user identity revocation process is time‐consuming and cannot resist quantum attacks. To solve above problems, this paper proposes a lattice‐based aggregate signature scheme with dynamic identity revocation by combining lattice‐based cryptography and an aggregate signature scheme. The security of the proposed lattice‐based aggregate signature scheme with dynamic identity revocation has been proved in the random oracle model. In addition, the verification efficiency of the aggregate signature has been improved compared with multiple different signatures. Much of the data transfer in Vehicular Ad Hoc Network (VANET) is carried out wirelessly, which makes VANET vulnerable to identity spoofing attacks. Identity authentication technology can prevent attackers from impersonating legitimate users, thus ensuring the security of VANET. Based on the proposed lattice‐based aggregate signature scheme with dynamic identity revocation, this paper proposes a lattice‐based batch authentication scheme with dynamic identity revocation in VANET. Through the proposed batch authentication scheme, we can effectively resist the impersonation attack of VANET in the quantum computer environment, and the efficiency of authentication is improved.
Recent Strategies for Bioremediation of Emerging Pollutants: A Review for a Green and Sustainable Environment

Environmental pollution brought on by xenobiotics and other related recalcitrant compounds have recently been identified as a major risk to both human health and the natural environment. Due to their toxicity and non-biodegradability, a wide range of pollutants, such as heavy metals, polychlorinated biphenyls, plastics, and various agrochemicals are present in the environment. Bioremediation is an effective cleaning technique for removing toxic waste from polluted environments that is gaining popularity. Various microorganisms, including aerobes and anaerobes, are used in bioremediation to treat contaminated sites. Microorganisms play a major role in bioremediation, given that it is a process in which hazardous wastes and pollutants are eliminated, degraded, detoxified, and immobilized. Pollutants are degraded and converted to less toxic forms, which is a primary goal of bioremediation. Ex situ or in situ bioremediation can be used, depending on a variety of factors, such as cost, pollutant types, and concentration. As a result, a suitable bioremediation method has been chosen. This review focuses on the most recent developments in bioremediation techniques, how microorganisms break down different pollutants, and what the future holds for bioremediation in order to reduce the amount of pollution in the world.
Effects of Cabya (Piper retrofractum Vahl.) Fruit Developmental Stage on VOCs

The differences in VOCs can affect the flavor and medicinal value of cabya, and the flavor changes that occur in stages as the fruit develops are currently unknown. In order to investigate the influence of the developmental stage on the aroma composition of cabya essential oil, VOCs at each of the four developmental stages were analyzed by steam distillation (SD) extraction combined with GC-MS detection. The similarities and differences in fruit composition among the developmental stages were evaluated using hierarchical cluster analysis (HCA) and principal component analysis (PCA). A total of 60 VOCs, mainly alcohols, alkenes and alkanes, were identified across all of the developmental stages. The most acidic substances were detected in phase A and have a high medicinal value. There was no significant difference between the B and C phases, and the alcohols in those phases mainly promoted terpenoid synthesis in the D phase. Constituents during the D phase were mainly alkenes, at 57.14%, which contributed significantly to the aroma of the essential oil. PCA and HCA both were able to effectively differentiate the cabya fruit developmental stages based on the SD-GC-MS data. In summary, this study investigated the flavor variation characteristics and the diversity of VOCs in cabya fruits at different developmental stages, and its findings can provide a reference for developing essential oil products for different uses and determining appropriate stages for harvesting cabya resources.
Role of Lipid-Lowering Therapy in Peripheral Artery Disease

Atherosclerosis is a multifactorial, lipoprotein-driven condition that leads to plaque formation within the arterial tree, leading to subsequent arterial stenosis and thrombosis that accounts for a large burden of cardiovascular morbidity and mortality globally. Atherosclerosis of the lower extremities is called peripheral artery disease and is a major cause of loss in mobility, amputation, and critical limb ischemia. Peripheral artery disease is a common condition with a gamut of clinical manifestations that affects an estimated 10 million people in the United States of America and 200 million people worldwide. The role of apolipoprotein B-containing lipoproteins, such as LDL and remnant lipoproteins in the development and progression of atherosclerosis, is well-established. The focus of this paper is to review existing data on lipid-lowering therapies in lower extremity atherosclerotic peripheral artery disease.
Narrow Linewidth Blue Laser Systems

Narrow linewidth lasers are vital for variety of applications and huge progress in some industries is impossible without the availability of high performance, and spectrally pure lasers. One approach for providing narrow linewidth is employing external cavity lasers. The aim of this study is designing and fabrication of a Distribute Bragg Reflector (DBR) in the UV-Blue wavelength range which can be used as an external feedback of a semiconductor laser. Here we present our simulation and experimental results and our methods for overcoming challenges we have for working in this wavelength range.
Improving EEG-Based Driver Distraction Classification Using Brain Connectivity Estimators

This paper discusses a novel approach to an EEG (electroencephalogram)-based driver distraction classification by using brain connectivity estimators as features. Ten healthy volunteers with more than one year of driving experience and an average age of 24.3 participated in a virtual reality environment with two conditions, a simple math problem-solving task and a lane-keeping task to mimic the distracted driving task and a non-distracted driving task, respectively. Independent component analysis (ICA) was conducted on the selected epochs of six selected components relevant to the frontal, central, parietal, occipital, left motor, and right motor areas. Granger–Geweke causality (GGC), directed transfer function (DTF), partial directed coherence (PDC), and generalized partial directed coherence (GPDC) brain connectivity estimators were used to calculate the connectivity matrixes. These connectivity matrixes were used as features to train the support vector machine (SVM) with the radial basis function (RBF) and classify the distracted and non-distracted driving tasks. GGC, DTF, PDC, and GPDC connectivity estimators yielded the classification accuracies of 82.27%, 70.02%, 86.19%, and 80.95%, respectively. Further analysis of the PDC connectivity estimator was conducted to determine the best window to differentiate between the distracted and non-distracted driving tasks. This study suggests that the PDC connectivity estimator can yield better classification accuracy for driver distractions.
Wireless Power Transfer and Management for Medical Applications: Wireless power

Wireless power transfer (WPT) plays an important role in medical devices that require contactless energy transfer for either direct powering or recharging their small batteries. Miniaturizing medical devices and improving their WPT link robustness against different variations (e.g., distance, alignment, and load changes) also demands an efficient and adaptive power-management IC (PMIC) to convert the incoming ac power carrier into one or multiple usable dc voltage supplies. This article summarizes the key techniques for WPT and PMIC design. It discusses different modalities for WPT, including inductive, ultrasonic, capacitive, and magnetoelectric (ME) methods, with a focus on their applicability in different types of medical devices with different dimensions, implantation depths, and power requirements. It is concluded that ultrasonic and ME modalities are suitable for WPT to deeply implanted small devices with low power consumption, while inductive and capacitive methods are more suitable for WPT to large implants with shorter depth and higher power consumption. This article also summarizes different PMIC techniques for inductive WPT, particularly conventional voltage mode and more recent current-mode (and reconfigurable) techniques, with an emphasis on their suitability for different input voltage and loading conditions.