Miracle-dz/UniFAR-FTUs huggingface dataset:
Testability Tarpits: the Impact of Code Patterns on the Security Testing of Web Applications

—While static application security testing tools (SAST) have many known limitations, the impact of coding style on their ability to discover vulnerabilities remained largely unexplored. To fill this gap, in this study we experimented with a combination of commercial and open source security scanners, and compiled a list of over 270 different code patterns that, when present, impede the ability of state-of-the-art tools to analyze PHP and JavaScript code. By discovering the presence of these patterns during the software development lifecycle, our approach can provide important feedback to developers about the testability of their code. It can also help them to better assess the residual risk that the code could still contain vulnerabilities even when static analyzers report no findings. Finally, our approach can also point to alternative ways to transform the code to increase its testability for SAST. Our experiments show that testability tarpits are very common. For instance, an average PHP application contains over 21 of them and even the best state of art static analysis tools fail to analyze more than 20 consecutive instructions before encountering one of them. To assess the impact of pattern transformations over static analysis findings, we experimented with both manual and automated code transformations designed to replace a subset of patterns with equivalent, but more testable, code. These transformations allowed existing tools to better understand and analyze the applications, and lead to the detection of 440 new potential vulnerabilities in 48 projects. We responsibly disclosed all these issues: 31 projects already answered confirming 182 vulnerabilities. Out of these confirmed issues– that remained previously unknown due to the poor testability of the applications code– there are 38 impacting popular Github projects ( > 1k stars), such as PHP Dzzoffice (3.3k
COPD_A_345058 653..665

1Department of Pulmonary and Critical Care Medicine, Second Xiang Ya Hospital, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 2Institute of Respiratory Disease, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 3Hunan Centre for Diagnosis and Treatment of Respiratory Disease, Changsha, Hunan, 410011, People’s Republic of China; 4Department of Respiratory, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, People’s Republic of China
TULP3 Silencing Suppresses Cell Proliferation, Migration and Invasion in Gastric Cancer Via the PTEN/Akt/Snail Signaling Pathway

Purpose Tubby-like protein 3 (TULP3), a member of the tubby family, has been related to the development of nervous system by gene knockout researches. Nevertheless, the regulatory mechanism and role of TULP3 in the gastric cancer are not clear. Current research is the �rst probe into the regulatory effect of TULP3 in the gastric cancer. Western blotting together with real time polymerase chain reaction (PCR) were employed for the quantitative detection of TULP3 expression in the gastric cancer and consecutive non-cancerous tissues, and gastric cancer cells. Kaplan-Meier method along with Log-rank test was exploited for the determination of the disease-free survival rate and overall survival time of patient containing with different expression of TULP3 in tumors. The roles of TULP3 in invasion, migration as well as proliferation of the gastric cancer cell in vivo and in vitro through utilizing colony formation test, MTT test, wound-healing test, transwell test and mouse xenograft model. Western blotting assay was implemented in order to clarify the potential molecular mechanisms. Furthermore, electron microscopy and western blot were evaluated TULP3 expression in gastric cancer patient extracted serum exosomes. Subsequent assays demonstrated that as that found
TKB48 at TREC 2021 Fairness Ranking Track

Fairness ranking has been recently focused on, which aims to make ranking results fair while keeping relevant. The definition of fairness is diverse. TREC Fairness Ranking Track in 2021 took attention-weighted rank fairness (AWRF) [12] to fit the fairness aspect distribution of ranking results to a population estimator ˆp reflecting the target distribution. TKB48’s approach was a post-processing method. We obtained an initial ranking using the BM25 score. We then set a bucket for each of 7 geographic areas in the dataset, and iterated the initial BM25 ranking to choose documents and put them into the bucket in a round-robin manner. As the track evaluated the top 20 results of the final ranking, the goal for us was to make the distribution of each area be the same as the target distribution in the top 20 results. We defined the individual fairness score so that we could choose whether a document should be put into the bucket by comparing an individual fairness score and BM25 score. The individual fairness score was based on how many documents in a certain area has been put into the final ranking. We chose one document with the highest combined score of fairness and relevance for one iterate turn of initial ranking. And we iterated 1000 times so that we could get a final ranking with 1000 documents. Our results ranked fifth out of 13 submissions on the TREC Fairness Ranking Track. Finally, we compared the results of different methods on the TREC Fairness Ranking Track and analyzed it.
Improving CNC Processes Using Computer Vision to Digitise Physical Objects

Architects rapidly go through materials to build quality models, explore designs and constructing formworks, creating large amounts of scrap materials that are difﬁcult to reuse, and thus either end up wasting storage or get thrown out. We present Condor, a publicly available plugin for Rhinoceros5(Rhino3D), that with a webcam can ﬁnd the contours of a scrap material and bring them into Rhino3D for easy nesting of models, before exporting them into the cutting software. Condor differentiates from similar projects in that it takes advantage of the users familiarity with the CAD program Rhino3D. It allows users to spend time nesting models onto scrap material, at their personal computer, rather than occupying a CNC machine and waste time not cutting. We conducted a user study at Aarhus School of Architecture, involving students and employees. The study showed that the participants found the plugin intuitive and simple to use, and would prefer to work with scrap materials using it over the traditional work process. Through interviews with the participants, we found problems with the current process of reuse at the school and ideas for improving the plugin or other solutions that could increase scrap usage.
Pendeteksian Bola untuk Robot Sepak Bola Humanoid Berbasis Pengenalan Pola

Humanoid soccer robot is one of popular developed robot. RoboCup is a competitive competiton of humanoid robot soccer. The rule of RoboCup changed by the time, the previous orange ball changed by white ball which is same color as the field line and the goal. Accordingly, in this research designed a white ball detection system for humanoid soccer robot based on pattern recognition. Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) method are used in this research for feature extraction and classification. The result of this research is a system that be able to detect ball in humanoid soccer robot environment. The system tested by sliding window parameter testing, the distance of ball to robot testing, different light intensity testing, and other object testing. The conclusions of this research are: optimal detection is obtained by using 8x8 win_stride parameter size and 1,2 scale0 parameter value, maximum distance of detection with 32×32 window detector is 180 cm and with 64×64 window detector is 140 cm, the response of system in different light intensity is good enough, and the success rate of system against other obstacle object with 32×32 window detector is 68% and with 64×64 window detector is 99%.
FlowShark: Sampling for High Flow Visibility in SDNs

As the scale and speed of modern networks continue to increase, traffic sampling has become an indispensable tool in network management. While there exist a plethora of sampling solutions, they either provide limited flow visibility or have poor scalability in large networks. This paper presents the design and evaluation of FlowShark, a high-visibility per-flow sampling system for Software-Defined Networks (SDNs). The key idea in FlowShark is to separate sampling decisions on short and long flows, whereby sampling short flows is managed locally on edge switches, while a central controller optimizes sampling decisions on long flows. To this end, we formulate flow sampling as an optimization problem and design an online algorithm with a bounded competitive ratio to solve the problem efficiently. To show the feasibility of our design, we have implemented FlowShark in a small OpenFlow network using Mininet. We present experimental results of our Mininet implementation as well as performance benchmarks obtained from packet-level simulations in larger networks. Our experiments with a machine learning based Traffic Classifier application show up to 27% and 19% higher classification recall and precision, respectively, with FlowShark compared to existing sampling approaches.
Válasz Dr. Kertész János „A Function-Structure Approach to Complex Networks” című, Gulyás András által az MTA doktora cím elnyerése céljából benyújtott értekezésről adott bírálatára

Először is szeretném megköszönni Dr. Kertész Jánosnak, hogy elolvasta a dolgozatomat és rámutatott annak hiányosságaira és erényeire. Külön köszönöm, hogy a dolgozat formai és tartalmi hiányosságai ellenére is értékesnek találta a dolgozatban leírt eredményeket annyira, hogy a fokozat odaítélését javasolta. A bírálatban van három visszatérő gondolat, amelyekre szeretnék itt összefoglalóan is reagálni amellett, hogy a bírálatra adott részletes válaszokban is kitérek rájuk.
A Comparative Analysis of Various Approaches for Incorporating Contextual Information into Recommender Systems

Corresponding Author: Quang-Hung Le Department of Information Technology, Quy Nhon University, Vietnam Email: lequanghung@qnu.edu. vn Abstract: Recommender systems are being widely applied in many fields, such as e-commerce, e-documents, places and travel, multimedia, news and advertising and transportation. These systems are similar to an information filtering system that helps to identify a set of items that best satisfy the users’ demands based on their preference profiles. The integration of contextual information (e.g., location, weather conditions and user mood) into recommender systems to improve their performance has recently received considerable attention in the research literature. Studies in the relevant literature have focused on incorporating contextual information into conventional recommender systems by employing three approaches: Pre-filtering, post-filtering and modeling. In this paper, we conduct a systematic comparison of various approaches and show how to integrate contextual information into recommender systems. Additionally, we provide an in-depth analysis of the most notable studies to date and point out the strengths, weaknesses and application scenarios for each of the approaches. We also empirically evaluate the real-world datasets, analyzing distinct recommendation quality metrics and characteristics of the datasets. An important result is that accuracy-based comparisons show no clear winner among the approaches.
Adequacy assessment of a 2 area system with renewable integration

In this paper, impacts of renewable sources on the adequacy of a 2 area system are presented. Integration of popular renewable sources like photovoltaic (PV) and wind is forcing the operational planner to operate differently. Here, an effort has been made to propose some planning scenarios for 2 area system on the basis of renewable sources integration, and reliability is evaluated corresponding to each scenario. Loss of load expectation is popular method for adequacy assessment following 2 state principle (available or unavailable) of conventional sources. Photovoltaic and wind system never follow 2 state principle unlike conventional. Existing PV module configuration determine the unavailability rate of PV plant considering component failure. Random wind speed is simulated using time series auto regressive moving average model. Wind turbine characteristics and simulated wind speed create multistate wind energy conversion system and reduced by apportioning method to predict unavailability rate. A simple 2 area system is considered to validate the efficacy of proposed theme.
Flexible and efficient accelerator architecture for runtime monitoring

Secure and reliable computing remains an open problem. Just in the past year, security vulnerabilities continued to be discovered in widely-used applications , and remote attacks that take advantage of these vulnerabilities can cause an enormous amount of damage. Runtime monitoring is a promising approach for addressing a wide range of security and reliability problems in a general and transparent fashion. However, software-only approaches have high performance overheads on applications, and using custom hardware to mitigate these overheads can result in rigid schemes that are unable to adapt to new threats. In this thesis, we will describe steps to build an architectural framework for run-time monitoring that can address the drawbacks of previously proposed run-time monitoring schemes by utilizing reconfigurable hardware and optimizing for performance. iii This document is dedicated to my parents and my greatest role models, Kuan Deng and Lihua Zeng. iv ACKNOWLEDGEMENTS I would like to acknowledge and thank all student and faculty members of CSL for their help through my journey as a graduate student. This journey has been a tremendous challenge, and it has shaped my thinking and my work processes for the better. I would like to express the deepest appreciation and gratitude to my advisor, Professor G. Edward Suh for giving me the opportunity to work under his guidance. As his first student, Ed gave me the opportunity to work on some really interesting projects. At the same time, Ed also challenged me to become more articulate, to write more coherently, and to gain a more in-depth understanding of the trade-offs in research and design. I would like to give special thanks to both of my special committee members , Professor José Martínez and Professor Rajit Manohar for their guidance and support. Through their classes and feedback on my work, I gained a greater understanding and appreciation for the nuances of architecture and logic design .
Genome-wide association mapping of bread wheat genotypes for sustainable food security and yield potential under limited water conditions

Determining the genetic basis of yield and water deficient tolerance in wheat is vital for wheat breeding programs. Herein, a genome-wide association study (GWAS) was performed for water deficient and yield-related attributes on wheat genotypes with high-density Illumina 90K Infinium SNP array. Major yield and drought-related attributes were phenotyped on a panel of Pakistani and foreign accessions grown in non-stressed and water deficient stressed environments during two crop cycles. Among all accessions, highly significant variations were shown in studied environments for examined characters. Water deficient conditions, reduced the wheat yield and had strong and positive correlation among relative water content and grain yield per plant. Population structure analyses based on 90,000 SNP data, classify the accessions into 4 sub-populations. Marker-trait association analyses (MTA) revealed that 134 significant SNPs were linked with yield and drought tolerance attributes. Pleotropic loci RAC875_s117925_244 and RAC875_c16333_340 located on chromosome 5A and 2A respectively, were significantly linked with relative water contents (RWC), cell membrane thermo-stability (CMT), grain per spike (GPS), spikelet per spike (SPS) and grain yield per plant (GYP). The markers Ra_c58279_684, BobWhite_c23828_341 and IAAV3414 located on chromosomes 2A, 6B and 7B respectively, showed pleotropic effects for RWC, GPS and GYP under both environments. The current experiment not only validated several MTAs reported in other studies but also discovered novel MTAs which significant under drought-stressed conditions. A total of 171 candidate genes were recognized that could be cloned and functionally characterized for the respective associated traits. For RWC and CMT, total 11 and 3 associated SNPs were mapped on coding DNA sequence (CDS) of the identified candidate genes. Isolation and characterization of the candidate genes herein mapped SNPs will be useful in discovering novel genes underpinning drought tolerance in bread wheat to fulfill the wheat demand and sustainable food security under limited water conditions.
Interdisciplinary interactive blended learning concept in times of a pandemic – pain medicine “totally digital”

Introduction: Pain medicine is located in different sections of the medical curriculum. In the pandemic situation, an online teaching concept for Q14 which includes several disciplines had to be developed. The goal of the project was to create a fully digitized learning platform for the cross-sectional area Q14 that allows all participating disciplines to address the various learning goals without losing a practical component. Project description: First, the students' expectations regarding education in the field of pain medicine were recorded by means of a survey among medical students. Based on this, a teaching module in a blended learning format was developed, which consisted of two parts. Within a digital learning platform, students were first required to complete consecutive learning units using an interactive learning management system. This was followed by a presence phase (online ZOOM seminar) in which, under the guidance of teaching staff, the therapy suggestions of the individual case studies from the previous learning program were reflected. In the second part, the acquired knowledge was applied to a simulated patient. An evaluation of the online module was carried out through free-text answers and self-assessment of the completion time. The ZOOM seminar was evaluated on the basis of an assessment by the teachers. Results: The survey among students revealed a desire for practical training without “frontal teaching”. The resulting project realized this aspect by teaching theory during an online module with case vignettes and interactive learning tasks. The subsequent online presence time during the ZOOM meeting enabled the students to repeat and deepen contents and to ask questions. 170 students completed the entire online program, of which evaluation data were available for 75 students. Self-assessment of completion time averaged at 4-6 hours. In the feedback, 90 aspects were addressed, including mainly comments on content (43%), praise (33%) and comments on technical problems (23%). According to the assessment of the presenters, the students were able to carry out the pain anamnesis survey in a structured manner. The submission of the therapy proposal, however, represents a particular hurdle. Conclusion: With the presented blended learning concept it is possible to address the different learning goals and the interdisciplinarity of Q14 sufficiently. After further processing and improvement of the project, a controlled and more extensive collection of evaluation data is required to further investigate the benefit of the platform for the students regarding achievement of defined learning goals.
System of Systems Engineering and Integration Process for Network Transport Assessment

Abstract : This thesis proposes a system of systems (SoS) engineering and integration (SoSE and I) process and provides a use case for a network transport analysis that is tailored to an information technology (IT) network. The purpose of the process is to identify the capabilities required for the transport and provide a framework for analysis, test, and implementation to ensure that the network IT system supports the user requirements for the overall SoS. The thesis then details a Navy use case through the steps of the proposed process and provides example steps and criteria for the assessment. Prior research on SoS architectures was leveraged in developing the proposed process and tailored to support IT network challenges. The thesis makes recommendations to prioritize capabilities, to implement capability-based quality of service (QoS), to have a detailed understanding of applications for the correlation of application to capability, to continuously monitor IT networks to ensure satisfactory performance with new applications or user behavior, and to ensure governance is applied through the process to ensure oversight of design and tradeoff decisions for network throughput analyses.
Robot-assisted kidney transplantation: an update

ABSTRACT Renal transplantation has become the gold-standard treatment for the majority of patients with established renal failure. Recent decades have seen significant progress in immunosuppressive therapies and advances in post-transplant management of recipients, resulting in improved graft and patient outcomes. However, the open technique of allograft implantation has stood the test of time, remaining largely unchanged. In a world where major advances in surgery have been facilitated by innovations in the fields of biotechnology and medical instrumentation, minimally invasive options have been introduced for the recipient undergoing kidney transplantation. In this review we present the evolution of minimally invasive kidney transplantation, with a specific focus on robot-assisted kidney transplant and the benefits it offers to specific patient groups. We also discuss the ethical concerns that must be addressed by transplant teams considering developing or referring to robotic programs.
Development of calciphylaxis in kidney transplant recipients with a functioning graft

ABSTRACT Background Calciphylaxis is not uniquely observed in uraemic patients, as some cases have also been reported in patients with normal renal function or moderate chronic kidney disease (CKD), in association with severe vasculopathy or systemic inflammation. A particular subset worthy of studying is represented by those patients who develop calciphylaxis after kidney transplantation (KT). Methods Analysis of the local series of calciphylaxis after KT (n = 14) along with all the other cases reported in the literature from 1969 to 2019 (n = 31), for a total population of 45 patients, is presented. Demographic data, CKD history, risk factors, immunosuppression, clinical presentation and management have been analysed both as a whole and according to the time period (before or after the year 2000). Results Calciphylaxis developed during the first year after KT in 43.2% of patients and median (interquartile range) creatinine at diagnosis was 2.4 (1.25–4.64) mg/dL. The most frequent presentation included distal purpura or ulcers in one-third of cases and 39.1% of patients were receiving vitamin K antagonists. PTH values were above 500 pg/mL and below 100 pg/mL in 50.0% and 25.0% of cases, respectively. Whole population mortality was 55.6%. As expected, clinical presentation, immunosuppression and management varied depending on the time period. Patients diagnosed after 2000 were older, with longer dialysis vintage, and treatment was usually multimodal; on the contrary, in patients diagnosed before 2000, parathyroidectomy was the treatment of choice in 61.9% of cases. Conclusions Calciphylaxis can still occur after KT, in many cases during the first year and in patients with a good renal function. Risk factors and management varied according to the time period studied.