Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Inverse Comorbidity between Alzheimer’s Disease and Lung Cancer: New Insights from Matrix Factorization

Matrix Factorization (MF) is an established paradigm for large-scale biological data analysis with tremendous potential in computational biology. We here challenge MF in depicting the molecular bases of epidemiologically described Disease-Disease (DD) relationships. As use case, we focus on the inverse comorbidity association between Alzheimer’s disease (AD) and lung cancer (LC), described as a lower than expected probability of developing LC in AD patients. To the day, the molecular mechanisms underlying DD relationships remain poorly explained and their better characterization might offer unprecedented clinical opportunities. To this goal, we extend our previously designed MF-based framework for the molecular characterization of DD relationships. Considering AD-LC inverse comorbidity as a case study, we highlight multiple molecular mechanisms, among which the previously identified immune system and mitochondrial metabolism. We then discriminate mechanisms specific to LC from those shared with other cancers through a pancancer analysis. Additionally, new candidate molecular players, such as Estrogen Receptor (ER), CDH1 and HDAC, are pinpointed as factors that might underlie the inverse relationship, opening the way to new investigations. Finally, some lung cancer subtype-specific factors are also detected, suggesting the existence of heterogeneity across patients also in the context of inverse comorbidity.
A Layout Investigation of Large Wind Farm in Akhfennir using Real Coded Genetic Algorithm

The objective of this study is to evaluate the effect of wind turbine spacing in large wind farm on the total energy loss of the wind farm, the power loss is due to the wake effect between wind turbines, on a site gathering several wind turbines, if the wind turbines are too close, the loss of power increases with the wake effect. This paper presents an investigation into optimal wind farm layout in 88 wind farm configurations of a hypothetical WF in Tarfaya, to search the optimal number of Wind Turbines (WTs), the wind farm are Installed on an area of 35 km2 (7000m×5000m), with the aim to maximize the electrical power generated by all WTs and grows the annual economic profitability of the WF, in order to approve the result of this investigation a new approach based on the division of the wind farm in the sub domain method is proposed, to search the optimal location of Wind Turbines by mean an RCGA (Real Coded Genetic Algorithm). This new proposed approach is promising in terms of the applicability in large wind farm. It is also more suitable when performing the wind farm layout assessment in WPP (Wind Power Project).
Capital Gains Overhang with a Dynamic Reference Point

Financial models incorporating a reference point, such as the Capital Gains Overhang (CGO) model, typically assume it is fixed at the purchase price. Combining experimental and market data, this paper examines whether such models can be improved by incorporating reference-point adjustment. Using real stock prices over horizons from 6 months to 5 years, experimental evidence demonstrates that a number of salient points in the prior share price path are key determinants of the reference point, in addition to the purchase price. Market data testing is then undertaken by using the CGO model. We show that composite CGO variables, created by using a mix of salient points with weights determined in the experiment, have greater predictive power than the traditional CGO variable in both cross-sectional U.S. equity-return analysis and when analyzing the performance of double-sorted portfolios. In addition, future trading volume is more sensitive to changes in the composite CGO variables than to the traditional CGO, further emphasizing the importance of adjusting reference points. This paper was accepted by Tyler Shumway, Finance.
Silver‐Nanowire Mesh‐Structured Transparent Conductive Film with Improved Transparent Conductive Properties and Mechanical Performance

Silver nanowires (AgNWs) are an optimum material for fabricating flexible transparent conductive films (TCFs), which are the primary materials in flexible optoelectronic devices. In most studies, TCFs are produced by coating AgNW onto a substrate to form a random network. However, according to some reports, a mesh‐structured network may allow superior performance. The effects of a mesh structure are quantitatively studied, a simple calculation method to derive property curves of mesh‐structured networks from those of random networks is presented, and a rule to fabricate mesh‐structured TCFs with improved performance is determined. Different networks are then fabricated using a template method and transferred onto a polyethylene terephthalate substrate to produce flexible TCFs. Through a series of experiments, it is verified that the mesh structure makes a positive contribution to both the transparent conductive properties and the flexibility. The transmittance of the film is 95.2% when the sheet resistance is 36.0 Ω sq−1, and the properties of the film are well maintained after 5000 bending cycles at a bending curvature of 5 mm.
MAC ADDRESS ROUTING POLICY OVER THE IP NETWORK

Using MAC filtering on a network permits and denies network access to specific devices through the use of blacklists and white lists. In IP networks, the MAC address of an interface can be queried given the IP address using the Address Resolution Protocol (ARP) for internet protocol version 4 (IPV4) or the neighbor discovery protocol (NDP) for IPV6 [1],[2]. In this way, ARP or NDP is used to relate IP addresses (OSI layer 3) to ethernet MAC addresses (OSI layer 2) [3]. A MAC address is like a social security number which remains unchanged for a person's life time (the device), while an IP address is like a postal code which can be changed. Now we find how MAC & IP are related, how MAC route from pc to switch(Routing scheme). Keywords-Mac, Ip, Route, Network, Address I. WHAT IS A MAC ADDRESS? Cunche and Mathieu et al.(2018-08-22) in their work emphasize and addressed that MAC stands for Media Access Control in general. It is set of numbers that identifies network devices. This number is set by the manufacturers and is embedded within the hardware so it cannot be changed. For this reason it is also known as a fixed address [4]. While it was known as an Ethernet address, Wi-Fi and Bluetooth are among the technologies also use MAC addresses. MAC address can be access through operating system by using commands. IP addresses, MAC addresses are all unique. They all follow the same set of rules when it comes to format [5]. II. HOW MANY BITS ARE IN A MAC ADDRESS? Aaron Mamiit et al (2014-06-12) in their work emphasize and addressed issues of MAC addresses are come up of 12-digit numbers and are made up of 48 bits, or 8 bytes also. Some types of hardware require a 64-bit MAC address [6]. Certain wireless home automation systems may require a 64-bit MAC address. When IPv6 network, the settings change a bit more. These networks translate 48-bit networks to 64-bit networks by inserting an FFFE value in the middle of all. These identifiers are used to differentiate between 48-bit addresses and 64-bit addresses correctly. III. WHAT ARE TYPICAL FORMATS FOR
Rapid mineralization of hierarchical poly(l-lactic acid)/poly(ε-caprolactone) nanofibrous scaffolds by electrodeposition for bone regeneration

Introduction: Hierarchical nanofibrous scaffolds are emerging as a promising bone repair material due to their high cell adhesion activity and nutrient permeability. However, the existing method for hierarchical nanofibrous scaffolds fabrication is complicated and not perfectly suitable for further biomedical application in view of both structure and function. In this study, we constructed a hierarchical nanofibrous poly (l-lactic acid)/poly(ε-caprolactone) (PLLA/PCL) scaffold and further evaluated its bone healing ability. Methods: The hierarchical PLLA/PCL nanofibrous scaffold (PLLA/PCL) was prepared by one-pot TIPS and then rapidly mineralized at room temperature by an electrochemical deposition technique. After electrode-positioning at 2 V for 2 hrs, a scaffold coated with hydroxyapatite (M-PLLA/PCL) could be obtained. Results: The pore size of the M-PLLA/PCL scaffold was hierarchically distributed so as to match the biophysical structure for osteoblast growth. The M-PLLA/PCL scaffold showed better cell proliferation and osteogenesis activity compared to the PLLA/PCL scaffold. Further in vivo bone repair studies indicated that the M-PLLA/PCL scaffold could accelerate defect healing in 12 weeks. Conclusion: The results of this study implied that the as-prepared hydroxyapatite coated hierarchical PLLA/PCL nanofibrous scaffolds could be developed as a promising material for efficient bone tissue repair after carefully tuning the TIPS and electrodeposition parameters.
Neutron studies of gauge field and charge in Ih heavy-water ice

The distinctive character of water ice results from the partially disordered combination of covalent and hydrogen bonds in the network of hydrogen and oxygen atoms. The non-trivial hydrogen correlations we report in diﬀuse neutron scattering are analytically ﬁt via a description of this state as a topological system exhibiting an emergent gauge ﬁeld. This allows for the density of correlation terminating point-defects to be determined as one defect per 500 oxygen sites at 30 K. Application of an analytical model of ice paves the way towards a detailed understanding of this ubiquitous solid.
Elaboration and Performance Analysis of a Bio-Based Insulating Liquid from Castor Oil for Power Transformers

The research for new mineral oil substitutes focuses on vegetable oils known for their biodegradability and low toxicity. This paper focuses on the development and analysis of physicochemical and dielectric properties of a bio-based insulating liquid from castor oil. Castor oil is an inedible tropical resource. It has a good annual oil yield and is widely available in developing countries. Cold pressing of castor seeds is the most appropriate non-chemical process for extracting oil. A refining process was used to remove metal and chemical residues. Refined Castor Oil was filtered and degassed in order to minimize the dissolved gases, solid particles and moisture. A transesterification operation was performed to significantly reduce viscosity oil. Finally, obtained Castor Oil Methyl Esters (COME) are finally distilled in a rotary evaporator under vacuum to remove traces of water and methanol. Physicochemical properties as visual examination, relative density, kinematic viscosity, and acidity were measured in accord-ance with ASTM D6871. AC Breakdown voltage was performed according to IEC 60156, and had been analyzed using Weibull distribution. Processed Castor Oil (PCO) has low viscosity than certified transformer vegetable oils (BIOTEMP, FR3) and high Dielectric Strength (74.67 kV/2.5 mm). Partial Discharges characteristics including the Partial Discharge Inception Voltage and the Partial Discharge Propagation Voltage were also investigated according to the recommendations of IEC 61294. PCO has satisfactory properties for their use as an insulating oil for transformer.
Robust Steering Control with Side Slip and Yaw Damping Compensation Using Time Delay Control

In this paper, we report a robust steering control using time delay control for the vehicle dynamics variation due to tire/road contact condition variation, the lateral disturbance force due to the side wind, and the yaw disturbance moment due to the difference between the left and right tires’ pneumatic pressure. We controlled the side slip and yaw damping compensation for rapid steering at the high velocity of the vehicle. Based on the developed control, the driver can only consider the desired path without concerning on the vehicle dynamics variation, disturbances, and undesired side slip and yaw oscillations. Simulation results show that robustness from the vehicle dynamics variation and disturbances was achieved by using the developed time delay control. We evaluated the side slip and yaw damping compensation capability for the rapid steering at the high velocity of the vehicle in the cases of three control methods.
The characteristics of mathematical reasoning and proof test on indonesian high school students

Both reasoning and proof ability have been considered as two sides of the coin on which cannot be separated. The reasoning ability is developed by solving proof tasks on which the students’ abilities in argumentation and justification are needed. However, the test items provided by the teachers tend to be routine problems by which the students’ reasoning ability is limited. This study aims to test the instrument of mathematical reasoning and proof evaluation at the high school level. The instrument had been carried out on 61 high school students in East Java. QUEST was used for analyzing the students’ answers. The result provides a value of INFIT MNSQ as 1,21 (around 1) and standard deviation 0,02 (around 0,0), which imply that the whole test fit with the PCM 1 PL model. The degree of difficulties of the developed high school reasoning and proof assessment instrument varies between −2.0 and +2,0, which imply that the instrument is categorized as good because the required criteria have been satisfied.
3-D Thermal Simulator Dedicated for Modern Silicon Structures

New numerical aproxination of heat transfer Dual-Phase-Lag model has been presented in the paper. The model has been derived from the trapezoidal integration approach and non-mesh local FDM; therefore, has reasonably good convegence region and can be applied for irregular mesh. A simple implementation for large simulation problems using sparse decomposition methods is very attractive for the electro-thermal analisys of modern ICs.
Dual Operation Mode of a Transformerless H-Bridge Inverter in Low-Voltage Microgrid

This paper presents the bilateral operation of a transformer-less H-bridge inverter as a power flow controller and fault current limiter in low-voltage distribution network. A novel control strategy has been developed to initiate and activate the H-bridge inverter to control the power flow at point of common coupling (PCC). On the other hand, the H-bridge inverter operation like a short-circuit current limiter during grid disturbance event and its smooth reinsertion after fault clearance have also been clarified. Besides, an island mode control strategy incorporating synchronization controller, and proper coordination with flip flops have been implemented in order to synchronize the microgrid with the main grid before reclosing the circuit breaker. The results confirm: The effectiveness and feasibility of the novel control methodology in activating the real power flow; the inverter capability of minimizing the short-circuit current during fault and the successful resynchronization of the microgrid voltage source inverter (VSI) and the H-bridge inverter to the main grid.
Verifiable Searchable Symmetric Encryption Verifiable Searchable Symmetric Encryption

OF A DISSERTATION SUBMITTED TO THE FACULTY OF THE DEPARTMENT OF COMPUTER SCIENCE IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY COMPUTER SCIENCE UNIVERSITY OF MASSACHUSETTS LOWELL 2013 Dissertation Supervisor: Jie Wang, Ph.D. Professor and Chair, Department of Computer Science Cloud storage has become increasingly prevalent in recent years. It provides a convenient platform for users to store data that can be accessed from anywhere at anytime without the cost of maintaining a storage infrastructure. However, cloud storage is inherently insecure, hindering general acceptance of the paradigm shift. To make use of storage services provided by a cloud, users would need to place their trust, at least implicitly, in the provider. There have been a number of attempts to alleviate the need for this trust through cryptographic methods. An immediate approach would be to encrypt each file before uploading it to the cloud. This approach, calls for a new searching mechanism over encrypted data stored in the cloud. This dissertation considers a solution to this problem using Symmetric Searchable Encryption (SSE). SSE allows users to offload search queries to the cloud. The cloud is then responsible for returning the encrypted files that match the search queries (also encrypted). Most previous work was focused on keyword search in the Honest-butCurious (HBC) cloud model, while some more recent work has considered searching on phrases. Recently, a new cloud model was introduced that supersedes the HBC model. This new model, called Semi-Honest but Curious (SHBC), is less restrictive over the actions a cloud can take. In this dissertation, we present three systems that are secure under this new SHBC model. Two systems provide phrase search and the other provides hierarchical access control over keyword search.
Identification of Unknown Reaction By-Products and Contaminants in Epoxyphenolic-Based Food Can Coatings by LC/TOF-MS

This application illustrates how time-of-flight mass spectrometry can be used in the safety evaluation of new and existing can coatings used in the food industry. The accurate mass provides information for the parent compound and fragment ions greatly increase the confidence in the identification process. Introduction The internal surface of metal cans used to pack foodstuffs is often coated to form a barrier between the food and the metal of the can. The coating formulation may contain various components such as resins, crosslinking agents, catalysts, lubricants, wetting agents, and solvents. The potential exists for these ingredients, or by-products of reactions between them, to migrate from the can coating into Identification of Unknown Reaction By-Products and Contaminants in Epoxyphenolic-Based Food Can Coatings by LC/TOF-MS
Vehicle Counting using Video Metadata

The current field of object detection and image recognition is huge but not without complications. Processing large amounts of high resolution videos needs powerful hardware and also risks breaching the privacy of those who are recorded. In times of increasing demand for decentralized solutions and stricter privacy protection regulations being put in place a new approach is needed. We present an alternative to traditional object detection in video where we analyze changes to its metadata over time rather than the content of the video frames. This approach has several benefits over traditional object detection: it is incredibly fast, lightweight and protects the privacy of its subjects. We have trained and evaluated several neural network models tasked with detecting and counting vehicles in various scenes and have achieved accuracies above 90%. Finally, we take the first steps toward a decentralized solution running entirely on embedded devices.
Condensin facilitates sister chromatid separation in actively transcribed DNA regions by relieving the obstructive effect of transcription

The evolutionarily conserved protein complex, condensin, is central to chromosome dynamics, including mitotic chromosome condensation and segregation. Genome-wide localization of condensin is correlated with transcriptional activity; however, the significance of condensin accumulation in transcribed regions remains unclear. Here, we demonstrate that condensin relieves the obstructive effect of mitotic transcription on sister chromatid separation in fission yeast, Schizosaccharomyces pombe. Time-lapse visualization of sister chromatid DNA separation revealed that mutant condensin causes delayed segregation specifically at mitotically transcribed, condensin-bound gene locus, ecm33+. Contrarily, the delay was abolished by transcriptional shut-off of the actively transcribed gene. We also showed that delayed separation at a heat shock-inducible gene locus, ssa1+, in condensin mutants was significantly alleviated by deletion of the gene. Since condensin has ability to remove ssDNA-binding proteins and RNA from unwound ssDNAs or DNA-RNA hybrids in vitro, we propose a model that condensin-mediated removal of mitotic transcripts from chromosomal DNA is the primary mechanism of sister chromatid separation.
Transition-metal-free amination phosphoryl azide for the synthesis of phosphoramidates

A facile and efficient approach to phosphoramidates was developed via amination of phosphoryl azides. A variety of phosphoramidates were obtained in one step with good to excellent yields under a mild reaction system. The process uses easily available amines as a N source and offers a new opportunity for P–N bond formation.
The Glycolytic Protein Phosphofructokinase Dynamically Relocalizes into Subcellular Compartments with Liquid-like Properties in vivo

While much is known about the biochemical regulation of glycolytic enzymes, less is understood about how they are organized inside cells. Here we built a hybrid microfluidic-hydrogel device for use in Caenorhabditis elegans to systematically examine and quantify the dynamic subcellular localization of the rate-limiting enzyme of glycolysis, phosphofructokinase-1/PFK-1.1. We determine that endogenous PFK-1.1 localizes to distinct, tissue-specific subcellular compartments in vivo. In neurons, PFK-1.1 is diffusely localized in the cytosol, but capable of dynamically forming phase-separated condensates near synapses in response to energy stress from transient hypoxia. Restoring animals to normoxic conditions results in the dispersion of PFK-1.1 in the cytosol, indicating that PFK-1.1 reversibly organizes into biomolecular condensates in response to cues within the cellular environment. PFK-1.1 condensates exhibit liquid-like properties, including spheroid shapes due to surface tension, fluidity due to deformations, and fast internal molecular rearrangements. Prolonged conditions of energy stress during sustained hypoxia alter the biophysical properties of PFK-1.1 in vivo, affecting its viscosity and mobility within phase-separated condensates. PFK-1.1’s ability to form tetramers is critical for its capacity to form condensates in vivo, and heterologous self-association domain such as cryptochrome 2 (CRY2) is sufficient to constitutively induce the formation of PFK-1.1 condensates. PFK-1.1 condensates do not correspond to stress granules and might represent novel metabolic subcompartments. Our studies indicate that glycolytic protein PFK-1.1 can dynamically compartmentalize in vivo to specific subcellular compartments in response to acute energy stress via multivalency as phase-separated condensates.
Keypoint Recognition with Two-Stage Randomized Trees

This paper proposes a high-precision, high-speed keypoint matching method using a two-stage Randomized Trees. The keypoint classification method uses the conventional Randomized Trees to enable highprecision, real-time keypoint matching. But the wide variety of view transformations for templates expressed by Randomized Trees make high-precision keypoint classification for all transformations difficult with a single Randomized Trees. To resolve this problem, proposed method classifies the template view transformations during the first stage. Then during the second stage, it classifies the keypoints using the Randomized Trees corresponding to each of the view transformations classified during the first stage. For images in which the viewpoint of the object is rotated by 70 degree, evaluation testing demonstrated that proposed method is 88.4% more precise than SIFT, and 63.4% more precise than the conventional Randomized Trees. We have also shown that the proposed method supports real-time keypoint matching at a speed of 12 fps.