nils-herrmann/clean_scirepeval huggingface dataset:
Laser Assisted Bonding Technology Enabling Fine Bump Pitch in Flip Chip Package Assembly

Advanced silicon (Si) node technology development is moving to 10/7nm technology and pursuing die size reduction, efficiency enhancement and lower power consumption for mobile applications in the semiconductor industry. The flip chip chip scale package (fcCSP) has been viewed as an attractive solution to achieve the miniaturization of die size, finer bump pitch, finer line width and spacing (LW/LS) substrate requirements, and is widely adopted in mobile devices to satisfy the increasing demands of higher performance, higher bandwidth, and lower power consumption as well as multiple functions. The utilization of mass reflow (MR) chip attach process in a fcCSP with copper (Cu) pillar bumps, embedded trace substrate (ETS) technology and molded underfill (MUF) is usually viewed as the cost-efficient solution. However, when finer bump pitch and LW/LS with an escaped trace are designed in flip chip MR process, a higher risk of a bump to trace short can occur. In order to reduce the risk of bump to trace short as well as extremely low-k (ELK) damage in a fcCSP with advanced Si node, the thermo-compression bonding (TCB) and TCB with non-conductive paste (TCNCP) have been adopted, although both methodologies will cause a higher assembly cost due to the lower units per hour (UPH) assembly process. For the purpose of delivering a cost-effective chip attach process as compared to TCB/TCNCP methodologies as well as reducing the risk of bump to trace as compared to the MR process, laser assisted bonding (LAB) chip attach methodology was studied in a 15x15mm fcCSP with 10nm backend process daisy-chain die for this paper. Using LAB chip attach technology can increase the UPH by more than 2-times over TCB and increase the UPH 5-times compared to TCNCP. To realize the ELK performance of a 10nm fcCSP with fine bump pitch of $60 \mu \mathrm{m}$ and $90 \mu \mathrm{m}$ as well as 2-layer ETS with two escaped traces design, the quick temperature cycling (QTC) test was performed after the LAB chip attach process. The comparison of polyimide (PI) layer Cu pillar bumps to non-PI Cu pillar bumps (without a PI layer) will be discussed to estimate the 10nm ELK performance. The evaluated result shows that the utilization of LAB can not only achieve a bump pitch reduction with a finer LW/LS substrate with escaped traces in the design, but it also validates ELK performance and Si node reduction. Therefore, the illustrated LAB chip attach processes examined here can guarantee the assembly yield with less ELK damage risk in a 10nm fcCSP with finer bump pitch and substrate finer LW/LS design in the future.
An information theoretic approach for extracting and tracing non-functional requirements

Non-functional requirements (NFRs) are high-level quality constraints that a software system should exhibit. Detecting such constraints early in the process is critical for the stability of software architectural design. However, due to their pervasive nature, and the lack of robust modeling and documentation techniques, NFRs are often overlooked during the requirements elicitation phase. Realizing such constraints at later stages of the development process often leads to architecture erosion and poor traceability. Motivated by these observations, we propose an unsupervised, computationally efficient, and scalable approach for extracting and tracing NFRs in software systems. Based on main assumptions of the cluster hypothesis and information theory, the proposed approach exploits the semantic knowledge embedded in the textual content of requirements specifications to discover, classify, and trace high-level software quality constraints imposed by the system's functional features. Three experimental systems are used to conduct the experimental analysis in this paper. Results show that the proposed approach can discover software NFRs with an average accuracy of 73%, enabling these NFRs to be traced to their implementations with accuracy levels adequate for practical applications.
A Frequency and Pattern Reconfigurable Antenna Array Based on Liquid Crystal Technology

A reconfigurable antenna array based on liquid crystal (LC) technology is proposed, which can dynamically tune operation frequency and achieve beam steering. The antenna element is composed of two parts: a microstrip patch array and a phase shifter using the inverted microstrip line (IMSL). The LC substrate is used to support the patch array for controlling its resonance frequency, while the LC-based IMSL phase shifter is adopted to tune the transmission phase by changing the effective permittivity of the LC. In order to verify the reconfigurable characteristics, the antenna array consisting of 1 × 4 elements are designed and numerically investigated. Simulation results show that this antenna can realize beam steering with a scanning angle range of (–20°, 20°), while its operation frequency can be actively tuned between 14.5 and 16.4 GHz.
Testing object-oriented software systems

Object-oriented Software Systems present a particular challenge to the software testing community. This review of the problem points out the particular aspects of object-oriented systems which makes it costly to test them. The flexibility and reusability of such systems is described from the negative side which implies that there are many ways to use them and all of these ways need to be tested. The solution to this challenge lies in automation. The review emphasizes the role of test automation in achieving adequate test coverage both at the unit and the component level. The system testing level is independent of the underlying programming technology.
Asymmetrical tetraphocomelia with radiohumeral synostosis

Amelia is the complete absence of a limb, which may occur in isolation or as part of multiple congenital malformations.1-3 The condition is uncommon and very little is known with certainty about the etiology. Whatever the cause, however, it results from an event which must have occurred between the fourth and eighth week of embryogenesis.1,3 The causal factors that have been proposed include amniotic band disruption,4 maternal diabetes,5 autosomal recessive mutation6 and drugs such as thalidomide,7 alcohol8 and cocaine.9 We report a case of a female baby with a complex combination of two rare limb abnormalities: left-sided humero-radial synostosis and amelia of the other limbs.
Cholera modeling: challenges to quantitative analysis and predicting the impact of interventions.

Several mathematical models of epidemic cholera have recently been proposed in response to outbreaks in Zimbabwe and Haiti. These models aim to estimate the dynamics of cholera transmission and the impact of possible interventions, with a goal of providing guidance to policy makers in deciding among alternative courses of action, including vaccination, provision of clean water, and antibiotics. Here, we discuss concerns about model misspecification, parameter uncertainty, and spatial heterogeneity intrinsic to models for cholera. We argue for caution in interpreting quantitative predictions, particularly predictions of the effectiveness of interventions. We specify sensitivity analyses that would be necessary to improve confidence in model-based quantitative prediction, and suggest types of monitoring in future epidemic settings that would improve analysis and prediction.
Critical review of cybersecurity protection procedures and practice in water distribution systems

The objective of this paper is to conduct a critical review of cybersecurity procedures and practices in the water distribution sector. Specifically, this paper provides a characterization of the current state of cybersecurity practice and risk management in drinking water systems. This characterization is critically important due to the number of cyber attacks that have occurred against water systems recently. While organizations such as AWWA (American Water Works Association) have provided guidelines for implementing cybersecurity measures, limited formal research is being done in the field of risk analysis to assess the nature and impact of risks, and ways to mitigate them. Our work illuminates areas of concern: lack of detailed risk guidance and decision making strategies, and a need for a cost-benefit analysis to be performed. Addressing these will allow future research to address risks and decision making strategies. We believe this characterization is the next step towards developing a comprehensive risk assessment methodology that can identify cyber vulnerabilities and prioritize cyber measures in drinking water systems.
Do firms in countries with poor protection of investor rights hold more cash ?

Aaron Kravitz, for their help with the data collection. We are grateful to Ole-Kristian Hope, Jan Mahrt-Smith, and seminar participants at the University of Toronto for useful comments.  Managers make different decisions in countries with poor protection of investor rights and poor financial development. One possible explanation is that shareholder-wealth maximizing managers face different tradeoffs in such countries (the tradeoff theory). Alternatively, firms in such countries are less likely to be managed for the benefit of shareholders because the poor protection of investor rights makes it easier for management and controlling shareholders to appropriate corporate resources for their own benefit (the agency costs theory). Holdings of liquid assets by firms across countries are consistent with Keynes' transaction and precautionary demand for money theories. Firms in countries with greater GDP per capita hold more cash as predicted. Controlling for economic development, firms in countries with more risk and with poor protection of investor rights hold more cash. The tradeoff theory and the agency costs theory can both explain holdings of liquid assets across countries. However, the fact that a dollar of cash is worth less than $0.65 to the minority shareholders of firms in such countries but worth approximately $1 in countries with good protection of investor rights and high financial development is only consistent with the agency costs theory. 2 1.  Recent work shows that countries where institutions that protect investor rights are weak perform poorly along a number of dimensions. In particular, these countries have lower growth, less well-developed financial markets, and more macroeconomic volatility. 1 To measure the quality of institutions, authors have used, for instance, indices of the risk of expropriation, the level of corruption, and the rule of law. Since poor institutions could result from poor economic performance rather than cause it, authors have also used the origin of a country's legal system (La 2003) as instruments for the quality of institutions. For the quality of institutions to matter for economic performance, it has to affect the actions of firms and individuals. Recent papers examine how dividend, investment, asset composition, and capital structure policies are related to the quality of institutions. 2 In this paper, we focus more directly on why firm policies depend on the quality of institutions. The quality of institutions can affect firm policies for two different reasons. First, a country's protection of investor rights may influence the relative prices or …
Short-term load forecasting based on an adaptive hybrid method

This paper aims to develop a load forecasting method for short-term load forecasting, based on an adaptive two-stage hybrid network with self-organized map (SOM) and support vector machine (SVM). In the first stage, a SOM network is applied to cluster the input data set into several subsets in an unsupervised manner. Then, groups of 24 SVMs for the next day's load profile are used to fit the training data of each subset in the second stage in a supervised way. The proposed structure is robust with different data types and can deal well with the nonstationarity of load series. In particular, our method has the ability to adapt to different models automatically for the regular days and anomalous days at the same time. With the trained network, we can straightforwardly predict the next-day hourly electricity load. To confirm the effectiveness, the proposed model has been trained and tested on the data of the historical energy load from New York Independent System Operator.
The Abstract Expressionists and Les Automatistes: A shared multi-fractal depth?

Statistical analysis of abstract paintings is becoming an increasingly important tool for understanding the creative process of visual artists. We present a multifractal analysis of ‘poured’ paintings from the Abstract Expressionism and Les Automatistes movements. The box-counting dimension (D0) is measured for the analyzed paintings, as is the associated multifractal depth DD1⁄4D0 DN, where DN is the asymptotic dimension. We investigate the role of depth by plotting a ‘phase space’ diagram that examines the relationship between D0 and DN. We show that, although the D0 and DN values vary between individual paintings, the collection of paintings exhibit a similar depth, suggesting a shared visual characteristic for this genre. We discuss the visual implications of this result. & 2012 Elsevier B.V. All rights reserved.
Outcomes of free-standing, midwife-led birth centers: a structured review.

Over the last two decades, childbirth worldwide has been increasingly concentrated in large centralized hospitals, with a parallel trend toward more birth interventions. At the same time in several countries, interest in midwife-led care and free-standing birth centers has steadily increased. The objective of this review is to establish the current evidence base for free-standing, midwife-led birth centers.



A structured review, based on Cochrane guidelines, was conducted that included nonrandomized studies. The comparative outcomes measured were rates of normal vaginal birth; cesarean section; intact perineum; episiotomy; transfers; and babies remaining with their mothers.



Of the 5 controlled studies that met the review criteria, all except one was a single site study. Since no study was randomized, meta-analysis was not performed. The included studies all raised quality concerns, and significant heterogeneity was observed among them. For the outcomes measured, every study reported a benefit for women intending to give birth in the free-standing, midwife-led unit.



The benefits shown for women recruited into the included studies who intended to give birth in a free-standing, midwife-led unit suggest a question about the efficacy of consultant unit care for low-risk women. However, the findings cannot be generalized beyond the individual studies. Good quality controlled studies are needed to investigate these issues in the future.
Sketch-based Geometric Monitoring of Distributed Stream Queries

Emerging large-scale monitoring applications rely on continuous tracking of complex data-analysis queries over collections of massive, physically-distributed data streams. Thus, in addition to the spaceand time-efficiency requirements of conventional stream processing (at each remote monitor site), effective solutions also need to guarantee communication efficiency (over the underlying communication network). The complexity of the monitored query adds to the difficulty of the problem — this is especially true for nonlinear queries (e.g., joins), where no obvious solutions exist for distributing the monitor condition across sites. The recently proposed geometric method offers a generic methodology for splitting an arbitrary (non-linear) global threshold-monitoring task into a collection of local site constraints; still, the approach relies on maintaining the complete stream(s) at each site, thus raising serious efficiency concerns for massive data streams. In this paper, we propose novel algorithms for efficiently tracking a broad class of complex aggregate queries in such distributed-streams settings. Our tracking schemes rely on a novel combination of the geometric method with compact sketch summaries of local data streams, and maintain approximate answers with provable error guarantees, while optimizing space and processing costs at each remote site and communication cost across the network. One of our key technical insights for the effective use of the geometric method lies in exploiting a much lower-dimensional space for monitoring the sketch-based estimation query. Due to the complex, highly nonlinear nature of these estimates, efficiently monitoring the local geometric constraints poses challenging algorithmic issues for which we propose novel solutions. Experimental results on real-life data streams verify the effectiveness of our approach.
Assigning trust to Wikipedia content

The Wikipedia is a collaborative encyclopedia: anyone can contribute to its articles simply by clicking on an "edit" button. The open nature of the Wikipedia has been key to its success, but has also created a challenge: how can readers develop an informed opinion on its reliability? We propose a system that computes quantitative values of trust for the text in Wikipedia articles; these trust values provide an indication of text reliability.
 The system uses as input the revision history of each article, as well as information about the reputation of the contributing authors, as provided by a reputation system. The trust of a word in an article is computed on the basis of the reputation of the original author of the word, as well as the reputation of all authors who edited text near the word. The algorithm computes word trust values that vary smoothly across the text; the trust values can be visualized using varying text-background colors. The algorithm ensures that all changes to an article's text are reflected in the trust values, preventing surreptitious content changes.
 We have implemented the proposed system, and we have used it to compute and display the trust of the text of thousands of articles of the English Wikipedia. To validate our trust-computation algorithms, we show that text labeled as low-trust has a significantly higher probability of being edited in the future than text labeled as high-trust.
Co-analysis of RAS Log and Job Log on Blue Gene/P

With the growth of system size and complexity, reliability has become of paramount importance for petascale systems. Reliability, Availability, and Serviceability (RAS) logs have been commonly used for failure analysis. However, analysis based on just the RAS logs has proved to be insufficient in understanding failures and system behaviors. To overcome the limitation of this existing methodologies, we analyze the Blue Gene/P RAS logs and the Blue Gene/P job logs in a cooperative manner. From our co-analysis effort, we have identified a dozen important observations about failure characteristics and job interruption characteristics on the Blue Gene/P systems. These observations can significantly facilitate the research in fault resilience of large-scale systems.
PERFORMANCE EVALUATION OF SYMMETRIC ALGORITHMS

Internet and networks applications are growing very fast, so the needs to protect such applications are increased. Encryption algorithms play a main role in information security systems. . In this paper, we compare the various cryptographic algorithms. On the basis of parameter taken as time various cryptographic algorithms are evaluated on different video files. Different video files are having different processing speed on which various size of file are processed. Calculation of time for encryption and decryption in different video file format such as .vob, and .DAT, having file size for audio and for video 1MB to 1100MB respectively. Encryption processing time and decryption processing time are compared between various cryptographic algorithms which come out to be not too much. Overall time depend on the corresponding file size. Throughput analysis also done.
Attention-Aware Deep Adversarial Hashing for Cross-Modal Retrieval

As the rapid growth of multi-modal data, hashing methods for cross-modal retrieval have received considerable attention. Deep-networks-based cross-modal hashing methods are appealing as they can integrate feature learning and hash coding into end-to-end trainable frameworks. However, it is still challenging to find content similarities between different modalities of data due to the heterogeneity gap. To further address this problem, we propose an adversarial hashing network with attention mechanism to enhance the measurement of content similarities by selectively focusing on informative parts of multi-modal data. The proposed new adversarial network, HashGAN, consists of three building blocks: 1) the feature learning module to obtain feature representations, 2) the generative attention module to generate an attention mask, which is used to obtain the attended (foreground) and the unattended (background) feature representations, 3) the discriminative hash coding module to learn hash functions that preserve the similarities between different modalities. In our framework, the generative module and the discriminative module are trained in an adversarial way: the generator is learned to make the discriminator cannot preserve the similarities of multi-modal data w.r.t. the background feature representations, while the discriminator aims to preserve the similarities of multimodal data w.r.t. both the foreground and the background feature representations. Extensive evaluations on several benchmark datasets demonstrate that the proposed HashGAN brings substantial improvements over other state-ofthe-art cross-modal hashing methods.
ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity?

Generating molecules with desired chemical properties is important for drug discovery. The use of generative neural networks is promising for this task. However, from visual inspection, it often appears that generated samples lack diversity. In this paper, we quantify this internal chemical diversity, and we raise the following challenge: can a nontrivial AI model reproduce natural chemical diversity for desired molecules? To illustrate this question, we consider two generative models: a Reinforcement Learning model and the recently introduced ORGAN. Both fail at this challenge. We hope this challenge will stimulate research in this direction.