Miracle-dz/UniFAR-FTUs huggingface dataset:
Smoking History Predicts High Presence of TILs and Efficacy of PD-1 Blockade in PD-L1 Expression-negative Non-small Cell Lung Cancer Patients

Background/Aim: Programmed death-ligand 1 (PD-L1) expression on tumor cells is a predictive biomarker of programmed cell death 1 (PD-1) blockade therapy. This study sought to clarify predictors of the efficacy of nivolumab in non-small cell lung cancer (NSCLC) patients with PD-L1 expression-negative tumors. Patients and Methods: We retrospectively reviewed the records of advanced NSCLC patients between January 2016 and April 2019, and investigated the predictive marker of nivolumab including the status of CD8+ tumor infiltrating lymphocytes (TILs). Results: A total of 70 NSCLC patients were included. Overall response rate (ORR) and progression-free survival (PFS) were better in patients with a heavy smoking history (smoking index: SI≥600) than in those without (SI<600) [ORR: 20.6% vs. 2.8%, (p=0.02), and PFS: 2.4 months vs. 1.8 months, (p=0.04)]. A high density of CD8+ TILs was significantly associated with a heavy smoking history (p=0.04). Conlusion: Heavy smoking history (SI≥600), which was correlated with a large number of CD8+ TILs, could be a predictor of the efficacy of nivolumab in NSCLC patients with PD-L1 expression-negative tumors.
Systematic Reviews and Quality Appraisal of In Vitro Cancer Studies: Investigation of Current Practice

Background/Aim: To assess the quantity and quality of systematic reviews of in vitro cancer studies. Materials and Methods: PubMed, MEDLINE, Embase, Web of Knowledge and PROSPERO databases were searched. Articles described as systematic reviews of in vitro studies, focused on or relevant to cancer and published in English were selected and appraised using an adapted version of AMSTAR 2 ‘critical domains’. Results: From 4,021 records, 41 reviews described as systematic and cancer-related were identified. Publication dates indicate increasing frequency of systematic review conduct. Mean number of databases searched was three (range=1-8). Thirty-six reviews (88%) reported search methods, 35 (85%) specified inclusion criteria, 26 (63%) reported study selection methods, and 21 (51%) used reporting guidelines. Only 13 reviews (32%) involved formal quality assessment. Conclusion: Detailed investigation of reviews of cancer-relevant in vitro studies indicates need for further development and use of robust search strategies, appropriate quality assessment tools, and researchers with relevant skills.
Analytical model for the daily energy input/output relationship for solar collector systems

Input/output regression lines are often used for presentation of solar-collector-array performance from different systems and climates. Usually, for well-performing solar-collector systems, a very linear relationship is experienced between daily solar irradiation H and daily energy collected Q in an input/output diagram. To explain and analyze the experimental curves, a model is developed based on conventional short-term collector theory.
Distributed Power Flow Controller

In modern power systems, there is a great demand to control the power flow actively. Power flow controlling devices (PFCDs) are required for such purpose, because the power flow over the lines is the nature result of the impedance of each line. Due to the control capabilities of different types of PFCDs, the trend is that mechanical PFCDs are gradually being replaced by Power electronics (PE) PFCDs. Among all PE PFCDs, the Unified Power Flow Controller (UPFC) is the most versatile device. However, the UPFC is not widely applied in utility grids, because the cost of such device is much higher than the rest of PFCDs and the reliability is relatively low due to its complexity. The objective of this thesis is to develop a new PFCD that offers the same control capability as the UPFC, at a reduced cost and with an increased reliability. The new device, so-called Distributed Power Flow Controller (DPFC), is invented and presented in this thesis. The DPFC is a further development of the UPFC. It has been shown that the DPFC fulfills all three of the listed goals. This thesis starts with the review the state-of-art of current PFCDs, followed by the research at the DPFC device level, including the operation principle, the modeling and control, and experimental demonstrations. At the end, the thesis presents the research at the system level, which includes the DPFC applications to improve power system controllability and stability, and the feasibility of the DPFC for real networks.
Multi-frequency aluminum nitride micro-filters for advanced RF communications.

An AlN MEMS resonator technology has been developed, enabling massively parallel filter arrays on a single chip. Low-loss filter banks covering the 10 MHz--10-GHz frequency range have been demonstrated, as has monolithic integration with inductors and CMOS circuitry. The high level of integration enables miniature multi-bandm spectrally aware, and cognitive radios.
AC resistance evaluation of foil, round and litz conductors in magnetic components

In this work an evaluation of the AC resistance of various types of transformer’s windings at different frequencies is made. The conductors utilized to build the transformers were the following ones: Foil, Round Magnetic Wire and Litz Wire. Firs of all, it was necessary to assemble all the transformers with the predefined characteristics parameters. This was done in order to be able to analyze the effects of various characteristics. Then an accurate measuring procedure was chosen. After that the theoretical equations were collected with the purpose to compare the theoretical values with the measured ones. The resistance of the foil winding was so low that not all the instruments were able to measure it with enough precision. Comparing the results that have been obtained for the research of different types of conductors, it is suggested that it would be valuable to continue future work utilizing foil windings.
A software process engineering approach to understanding software productivity and team personality characteristics: an empirical investigation

Despite the significant effort in managing the complexities of software development by using several engineering analogies, there is still no comprehensive approach that recognizes software development as a social activity and software productivity in form of an intangible asset gained and maintained by social relations. This study proposes a model in which software productivity improvement is investigated as a function of the factors affecting productivity, whereas team productivity is considered as a compatibility problem of distinct personality traits that should be situated in an efficient social configuration. The fundamental assumption is that the productivity is a latent construct measurable by a set of indicators and improvable by relating personality traits and team configurations. The two main contribution of this thesis is to develop an understanding of the factors affecting software productivity by empirical investigation and to build a personality-profiling test based on a psychometric scale specific to software practitioners. To assess the validity of our approach, we conducted a two- step empirical study in an industrial setting: (i) a psychometric survey on 216 software practitioners for measuring the correlations among the factors affecting productivity, and (ii) a domain specific game-based personality test on 63 participants for investigating the implications of personality types over the effective team configurations. Our findings indicate that software productivity is positively associated with social productivity and social capital, and can be measured by 21 different indicators identified from the literature. In addition, social aspects such as team size and individual’s characteristics have a significant affect on productive team formations. A strong negative association is observed between social capital and the time practitioners spend in a software company. Evidence suggests that individuals in software teams become more extroverted while the effective configurations are still achieved with teams populated by balanced personality traits.
A study of secondary instabilities in postbuckling composite aerostructures

Abstract A number of experimental studies have shown that postbuckling stiffened composite panels, loaded in uniaxial compression, may undergo secondary instabilities, characterised by an abrupt change in the buckled mode-shape of the skin between the supporting stiffeners. In this study high-speed digital speckle photogrammetry is used to gain further insight into an I-stiffened panel’s response during this transient phase. This energy-dissipating phenomenon will be shown to be able to cause catastrophic structural failure in vulnerable structures. It is therefore imperative that an accurate and reliable methodology is available to predict this phenomenon. The shortcomings of current non-linear implicit solution schemes, found in most commercially-available finite element codes, are discussed. A robust and efficient strategy, which utilises an automated quasi-static/pseudo-transient hybrid scheme, is presented in this paper and validated using a number of experimental tests. This approach is shown to be able to predict mode-jumping with good accuracy.
Medi SPICE: An Overview

This paper outlines the development of a software process assessment and improvement model (Medi SPICE) specifically for the medical device industry. The paper details how medical device regulations may be satisfied by extending relevant practices from ISO/IEC 15504-5. Medi SPICE will consist of a Process Reference Model and a Process Assessment Model. The Medi SPICE Process Assessment Model will be used to perform conformant assessments of the software process capability of medical device suppliers in accordance with the requirements of ISO/IEC 15504-2: 2003. The Medi SPICE Process Assessment Model is based on ISO/IEC 15504-5: 2006 but will also provide coverage of additional software development practices that are required to achieve regulatory compliance within the medical device industry.
Earning the MFA: Investigations of Curricula and Pedagogies as a Means of Developing Graduate Studio Art Students' Sense of Self

Who makes these decisions? I reflected on what was modeled by my former studio instructors and recalled the implicit understanding that MFA graduates often become art instructors. What, if anything, had the program promised applicants? Had I been sold a “bill of goods? ” Given the pride that I once had for having been ac cepted into one of the country’s competitive graduate studio art programs, why does reflecting on the experience of earning my MFA degree haunt my sense of inner purpose ? Ultimately, I wanted to examine the ways, specifically, in which the graduates of MFA programs are being trained to walk into our contemporary world with a sense of purpose and a relevant education?
The Relationship Between Safety Climate and Safety Commitment: A Case Study in Alps Electric (Malaysia) Sdn Bhd.

This study was carried out to investigate current practices in safety aspects with emphasize on relationship between safety climate and safety commitment perception among employees in a multinational electronic manufacturing company of ALPS Electric (Malaysia) Sdn. Bhd. This study will examine the relationship between safety climate and safety commitment to safety in order to achieve performance in safety and workers associated with the perception of safety has been practiced in the ALPS. Safety is an important issue at this time, but most employees or employers do not feel it as an important process in the success of long-term safety. Understanding of the concept of safety among employees will help employers to better understand the safety needs of ALPS and any legal requirements that must be followed. Findings from this study found that factors influencing the success of the safety system at work place is a safety climate and commitment to safety in reducing accidents with involving from employers and employees. In this study, using SPSS version 19 to measured the results of studies and tests of hypotheses perceived safety climate and safety commitment to achieve the safety performance in organization. The study found that there was a distinct relationship between the ages, gender and employment status. While no significant relationship between job tenure and experience involved in the accident. The existence of a positive relationship between safety climate and commitment practiced in the ALPS in this study.
Assessment of the Potential Flood Risk in Sarbaz Drainage Basin

Email: apshohaz2003@yahoo.com هدیکچ نآ اب راتفر یگنوگچ و یعیبط تارطاخم ،ییاوه و بآ تارییغت ببس هب هزورما زا اه مهم هلمج رت نی هغدغد همانرب هنیمز رد نارگشهوژپ یاه و یطیحم یزیر یم نارحب تیریدم طم نیا زا فده . دنشاب هعلا هنهپ لیسناتپ و یدنب اش هداد هاگیاپ روظنم نیدب . تسا زابرس زیربآ هضوح رد بلایس رطخ یجنس لم هیلا هنهپ یاه یا ، نیمز تایصوصخ ،بیش ،عافترا و یهایگ ششوپ ،شراب ،کاخ تایصوصخ ،یسانش هیلا و یضارا یربراک تسا دروم هضوح حطس یشکهز مکارت و یعرف ههاربآ ،یلصا ههاربآ یطخ یاه اف هد بتارم هلسلس لیلحت نینچمه و هربخ ناسانشراک رظن و همانشسرپ زا هدافتسا اب سپس . تفرگ رارق ،ی رد هیلا ره شزرا لیس یزیخ هیلا نیا زا مادک ره . دش هبساحم یس لیسناتپ یانبم رب اه ل د یزیخ سایقم ر دایز ات مک رطخ هقبط و یناشوپمه لدم زا هدافتسا اب تیاهن رد و دندش یدنب ناماس طیحمرد ینز ه راب و یضارا یربراک ،یلصا ههاربآ هک داد ناشن جیاتن . دندش ماغدا مه اب ییایفارغج تاعلاطا مهم ش نیرت هفلؤم رد اه لیس یزیخ طقف زابرس هضوح تحاسم لک زا . دنتسه زابرس هناخدور زیربآ هضوح 5 / 0 د دصر لیسناتپ لیس یزیخ یحاون و تساراد ار دایز رایسب ات دایز ش و یفارگوپوت ببس هب هضوح یزکرم طیار لیسناتپ نیرتلااب ،هژیو یفارگوردیه لیس یزیخ شخب ،هیحان نیا رب هولاع . دنراد ار هیشاح یاه یا شخب نینچمه و هضوح یجورخ تمس هب یلصا هناخدور هناخدور یشاوح زا ییاه ،مهم یعرف یاه لیس لیسناتپ نیرتشیب عسو مغریلع . دنتسه اراد ار یزیخ مکارت ببس هب ،رطخرپ هیحان دودحم ت تسلااب رایسب نارحب تیریدم رظن زا هیحان نیا تیمها ،یزرواشک یضارا و تیعمج .
Optimal Partitioning of a Surveillance Space for Persistent Coverage Using Multiple Autonomous Unmanned Aerial Vehicles: An Integer Programming Approach

Abstract : Unmanned aerial vehicles (UAVs) are an essential tool for the battle eld commander in part because they represent an attractive intelligence gathering platform that can quickly identify targets and track movements of individuals within areas of interest. In order to provide meaningful intelligence in near-real time during a mission, it makes sense to operate multiple UAVs with some measure of autonomy to survey the entire area persistently over the mission timeline. This research considers a space where intelligence has identi ed a number of locations and their surroundings that need to be monitored for a period of time. An integer program is formulated and solved to partition this surveillance space into the minimum number of subregions such that these locations fall outside of each partitioned subregion for e cient, persistent surveillance of the locations and their surroundings. Partitioning is followed by a UAV-to-partitioned subspace matching algorithm so that each subregion of the partitioned surveillance space is assigned exactly one UAV. Because the size of the partition is minimized, the number of UAVs used is also minimized.
GNSS-Based Tolling in Germany: Lessons learned after Two Years of Operation

In 2005, a distance-based road-charging system based on global navigation satellite systems (GNSS) was introduced in Germany for trucks with a permissible total weight of 12 tons or more. This paper provides an overview of the Toll Collect (TC) system and describes some of the lessons learned from its first two years of operation. The system covers the entire German Autobahn system. In the TC system, an onboard unit stores relevant vehicle data and automatically locates the vehicle's position on motorways using signals from a global positioning satellite. The onboard unit calculates the toll by determining whether the road segment the vehicle is driving on is subject to a toll and, if so, the toll rate. The data is periodically transmitted to a central computing center that stores billing information and transmits invoices. In the first two years of operation, the TC system was found to be over 99.50% accurate. The assessment of the system's first two years of operation found that when comparing tolling techniques for a motorway network, the investment should be measured over many years since sections are added or modified over time. Flexibility in a tolled network also was found to be very important. The component costs of the network followed the normal pattern of a product's life cycle: expensive at first, but reducing in cost as production increased. Although the system has been successful, there is still room for improvement in cost savings.
A single-phase grid-connected PV system with active power filter

In this paper a single-phase active power filter based in a two stages grid-connected photovoltaic system with is presented. The proposed system can not only inject PV power into utility but can act always as an active power filter to compensate the load harmonics and reactive power such that the input power factor is unity independently of the solar radiation. In sunny days, the system processes all the reactive and active load power and the excessive power from the PV module can be fed to the utility. On the other hand, on cloudy days for instance, if the PV power is not enough, the system processes all the reactive load power and the shortage of load active power is supplemented by the utility. Besides, just using one current sensor, the control strategy is simpler and of easy practical implementation.
A Flexible Distributed Scheduling Scheme for Dynamic ESG Environments

Abstract : Based on the holonic C2 organizational control architecture (OCA) that models a C2 organization as an integration of multi-level, de-centralized decision making networks, we present a holonic multi-objective evolutionary algorithm (MOEA) that produces robust and flexible distributed schedules within a dynamic ESG mission environment, such as asset break down, appearance of new events, node failures, etc. The lower level units generate multiple local schedules based on local resources, constraints, and interests (objectives). These local schedules correspond to a schedule pool, from which the Operational Unit can assemble a set of ranked L-Neighboring global schedules according to global objectives, and the actual schedule can shift among different stages of alternative schedules in order to adapt to environmental changes. Global feasibility is ensured at the upper level operational unit, while local autonomies are maintained among lower tactical level units due to the characteristics of the proposed holonic organizational control architecture (OCA). The advantage of this scheduling scheme is that it generates multiple neighboring candidate schedules, which avoids the costly replanning process and also minimizes the adaptation cost.
Negative selection algorithms: from the thymus to v-detector

Artificial Immune Systems (AIS) is a research area of developing computational methods inspired by biological immune systems. The approach of negative selection algorithms (NSA) is one of the major models of AIS. This dissertation does a comprehensive survey of NSA and highlights the key components that define a negative selection algorithm. It demonstrates that the so-called 'negative selection algorithms' have been a very broad interpretation compared with its biological archetype and differ from one another in strategy, applicability and implementation. This work proposed a new negative selection algorithm called V-detector. It has several important features that alleviate some difficulties in negative selection algorithms. (1) Statistical techniques are integrated in the detector generation process to estimate the detector coverage. (2) Detectors with variable coverage are used in a highly efficient manner to achieve maximum coverage. (3) A boundary-aware algorithm is proposed to interpret the training data set as a whole, instead of considering them as independent points. It shows that negative selection's certain learning property cannot be replaced by straightforward positive selection. (4) The main components of V-detector can be customized for different data/detector representations and detector generation mechanisms. This generic characteristic could connect the gap between different negative selection algorithms. For example, extension from Euclidean distance to more general distance measures demonstrated its potential to accommodate domain specific elements. (5) One-shot training instead of evolutionary approach is utilized to lead to a more concise model. While it doesn't exclude combination or cooperation with evolutionary process, this simple model makes it possible to implement a very efficient learning process and provides great flexibility for extension. In the light of recent years' doubts about negative selection algorithms, applicability of negative selection algorithms is discussed in details both to understand the reasonable scenarios to use it and its intrinsic limitations. Negative selection algorithms, mainly MILA (Multilevel Immune Learning Algorithm) and V-detector, were experimented on various real-world datasets. To demonstrate its strength, V-detector was used in image-based dental diagnosis with a novel real-valued representation of occlusion condition on dental images.
Influence of Attractiveness as an External Stimulus on Perceived Benefits of Uniform Virtual Backgrounds: A Case Study of Online Meetings in Indonesia

Work or study from home due to Covid-19 has forced people to shift from offline meetings to online meetings. Interestingly, along with the use of online meeting platforms, the utilization of the platforms’ virtual background feature also became prevalent. Participants were often obligated to change their virtual backgrounds with the one provided by the meeting organizer so they would use uniform backgrounds. We see this as an opportunity to have more understanding of how people, particularly in Indonesia, behave towards technology. Drawing from the previous literature, we investigated this phenomenon by proposing that perceived benefits of using a uniform virtual background is driven by environmental stimuli. The survey was conducted on 302 persons and examined using Covariance-based Structural Equation Modeling (CB-SEM). The outturns showed that attractiveness as an environmental stimulus has direct positive influence on perceived benefits. As the conclusion, users of online meetings recognized that the attractiveness of uniform virtual backgrounds gave them positive benefits. Implications of these findings are discussed in the paper.
Facebook Customer Engagement Graph Analysis Using K-core, M-core and Km-core Methods

Customer engagement in Facebook fan page of a brand can be rationalized as a network from customer reactions towards the moderator postings. In this paper the network of consumers connected by the posts of two supermarket chains are represented in different forms of graphs. Here a graph analytic framework, which adopts the concept of Social Network Analysis to examine the structure of the graphs, is presented. The graph filtering methods, k-core, m-core or m-slice and km-core, a combination of the former cores, are utilized to examine the customer engagement behavior, to identify and to filter the consumer communities. For both supermarket brands, most of the customer attitudes toward the advertising and promotion posts are positive. Their customer engagement behaviors are similar, in that the majority of customers are engaged by a single post advertising a discount promotion, greater than 90%, following power-laws with respect to the threshold of consumer degree and co-reaction posts. There are around 3% of customers consuming both brands.