nils-herrmann/clean_scirepeval huggingface dataset:
A slew rate controlled output driver using PLL as compensation circuit

A slew rate controlled output driver adopting delay compensation method is implemented using 0.18 µm CMOS process for storage device interface. Phase-Locked Loop is used to generate compensation current and constant delay time. Compensation current reduces the slew rate variation over process, voltage and temperature variation in output driver. To generate constant delay time, the replica of VCO in PLL is used in output driver's slew rate control block. That reduces the slew rate variation over load capacitance variation. That has less 25% variation at slew rate than that of conventional output driver. The proposed output driver can satisfy UDMA100 interface which specify load capacitance as 15 ∼ 40pF and slew rate as 0.4 ∼ 1.0[V/ns].
The Fallacy of Tongue Thrust and Non-Surgical Treatment of a Severe Anterior Open Bite

The causal relation between tongue thrust swallowing or habit and development of anterior open bite continues to be made in clinical orthodontics yet studies suggest a lack of evidence to support a cause and effect. Treatment continues to be directed towards closing the anterior open bite frequently with surgical intervention to reposition the maxilla and mandible. This case report illustrates a highly successful non-surgical orthodontic treatment without extractions.
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data

Nowadays, many e-commerce websites allow users to login with their existing social networking accounts. When a new user comes to an e-commerce website, it is interesting to study whether the information from external social media platforms can be utilized to alleviate the cold-start problem. In this paper, we focus on a specific task on cross-site information sharing, i.e., leveraging the text posted by a user on the social media platform (termed as social text) to infer his/her purchase preference of product categories on an e-commerce platform. To solve the task, a key problem is how to effectively represent the social text in a way that its information can be utilized on the e-commerce platform. We study two major kinds of text representation methods for predicting cross-site purchase preference, including shallow textual features and deep textual features learned by deep neural network models. We conduct extensive experiments on a large linked dataset, and our experimental results indicate that it is promising to utilize the social text for predicting purchase preference. Specially, the deep neural network approach has shown a more powerful predictive ability when the number of categories becomes large.
Common <ce:italic>PIEZO1</ce:italic> Allele in African Populations Causes RBC Dehydration and Attenuates <ce:italic>Plasmodium</ce:italic> Infection

Hereditary xerocytosis is thought to be a rare genetic condition characterized by red blood cell (RBC) dehydration with mild hemolysis. RBC dehydration is linked to reduced Plasmodium infection in vitro; however, the role of RBC dehydration in protection against malaria in vivo is unknown. Most cases of hereditary xerocytosis are associated with gain-of-function mutations in PIEZO1, a mechanically activated ion channel. We engineered a mouse model of hereditary xerocytosis and show that Plasmodium infection fails to cause experimental cerebral malaria in these mice due to the action of Piezo1 in RBCs and in T cells. Remarkably, we identified a novel human gain-of-function PIEZO1 allele, E756del, present in a third of the African population. RBCs from individuals carrying this allele are dehydrated and display reduced Plasmodium infection in vitro. The existence of a gain-of-function PIEZO1 at such high frequencies is surprising and suggests an association with malaria resistance.
Beauty and the Burst: Remote Identification of Encrypted Video Streams

The MPEG-DASH streaming video standard contains an information leak: even if the stream is encrypted, the segmentation prescribed by the standard causes content-dependent packet bursts. We show that many video streams are uniquely characterized by their burst patterns, and classifiers based on convolutional neural networks can accurately identify these patterns given very coarse network measurements. We demonstrate that this attack can be performed even by a Web attacker who does not directly observe the stream, e.g., a JavaScript ad confined in a Web browser on a nearby machine.
Orko: Facilitating Multimodal Interaction for Visual Exploration and Analysis of Networks

Data visualization systems have predominantly been developed for WIMP-based direct manipulation interfaces. Only recently have other forms of interaction begun to appear, such as natural language or touch-based interaction, though usually operating only independently. Prior evaluations of natural language interfaces for visualization have indicated potential value in combining direct manipulation and natural language as complementary interaction techniques. We hypothesize that truly multimodal interfaces for visualization, those providing users with freedom of expression via both natural language and touch-based direct manipulation input, may provide an effective and engaging user experience. Unfortunately, however, little work has been done in exploring such multimodal visualization interfaces. To address this gap, we have created an architecture and a prototype visualization system called Orko that facilitates both natural language and direct manipulation input. Specifically, Orko focuses on the domain of network visualization, one that has largely relied on WIMP-based interfaces and direct manipulation interaction, and has little or no prior research exploring natural language interaction. We report results from an initial evaluation study of Orko, and use our observations to discuss opportunities and challenges for future work in multimodal network visualization interfaces.
NuiVend - Next Generation Vending Machine

Conventional vending machines require users to press buttons and respond to visual cues. This makes them less accessible to some users such as the blind. NuiVend resolves this issue by integrating natural voice commands and gesture interactions into a vending machine, thereby creating many alternative, natural, and more user-friendly ways of interaction. In this paper, we will discuss NuiVend's use of a variety of technologies. Such as: Microsoft Kinect, various Microsoft Cognitive API services, relay and sensor boards, as well as the overall logic of the control software. Finally, we discuss potential improvements to NuiVend as well as Microsoft Language Understanding Intelligent Service (LUIS) techniques that can be applied to many other future NUI based projects.
Demography of longevity: past, present, and future trends

Life expectancy at birth has roughly tripled over the course of human history. Early gains were due to a general improvement in living standards and organized efforts to control the spread of infectious disease. Reductions in infant and child mortality in the late 19th and early 20th century led to a rapid increase in life expectancy at birth. Since 1970, the main factor driving continued gains in life expectancy in industrialized countries is a reduction in death rates among the elderly. In particular, death rates due to cardiovascular disease and cancer have declined in recent decades thanks to a variety of factors, including successful medical intervention. Based on available demographic evidence, the human life span shows no sign of approaching a fixed limit imposed by biology or other factors. Rather, both the average and the maximum human life span have increased steadily over time for more than a century. The complexity and historical stability of these changes suggest that the most reliable method of predicting the future is merely to extrapolate past trends. Such methods suggest that life expectancy at birth in industrialized countries will be about 85-87years at the middle of the 21st century.
Interconnected Personal Health Record Ecosystem Using IoT Cloud Platform and HL7 FHIR

Personal health record (PHR) systems have yet to reach mass adoption despite years of varied implementations. In this paper, we examine the limitations of current PHRs and propose an interconnected PHR system built in adherence with healthcare data communication standards and an IoT Cloud platform. The new ecosystem includes: an interoperable hospital information system to store electronic medical records (EMRs) and transfer them to a PHR system via email; a public cloud that supports encrypted data sharing for big data analysis services; a PHR gateway repository based on an IoT module which communicates with hospitals and public clouds; and a mobile application to manage and view PHR. This system can store and share raw EMR and life log data based on the healthcare communication standard "HL7 FHIR". To validate the usability of the interconnected PHR system, a clinical trial is underway to develop an obesity management model from individuals' hospital-provided genomic data, on the one hand, and diet and exercise logs gathered by the mobile application, on the other. We demonstrate how the proposed IoT Cloud based PHR ecosystem is interoperable and practical for promoting healthcare big data analysis services.
The septum subcutaneum parotideomassetericum.

The fatty tissue of the face is divided into compartments. The structures delimiting these compartments help shape the face, are involved in aging, and are encountered during surgical procedures.



To study the border between the lateral-temporal and the middle cheek fat compartments of the face.



We studied 40 human cadaver heads with gross dissections and macroscopic and histological sections. Gelatin was injected into the subcutaneous tissues of 35 heads.



A sheet of connective tissue, comparable to a septum, was consistently found between the lateral-temporal and the middle compartments. We call this structure the septum subcutaneum parotideomassetericum.



There is a distinct septum between the lateral-temporal and the middle fat compartments of the face.
High-density low-power-operating DRAM device adopting 6F/sup 2/ cell scheme with novel S-RCAT structure on 80nm feature size and beyond

For the first time, the DRAM device composed of 6F/sup 2/ open-bit-line memory cell with 80nm feature size is developed. Adopting 6F/sup 2/ scheme instead of customary 8F/sup 2/ scheme made it possible to reduce chip size by up to nearly 20%. However, converting the cell scheme to 6F/sup 2/ accompanies some difficulties such as decrease of the cell capacitance, and more compact core layout. To overcome this strict obstacles which are originally stemming from the conversion of cell scheme to 6F/sup 2/, TIT structure with AHO (AfO/AlO/AfO) is adopted for higher cell capacitance, and bar-type contact is adopted for adjusting to compact core layout. Moreover, to lower cell V/sub th/ so far as suitable for characteristic of low power operation, the novel concept, S-RCAT (sphere-shaped-recess-channel-array transistor) is introduced. It is the improved scheme of RCAT used in 8F/sup 2/ scheme. By adopting S-RCAT, V/sub th/ can be lowered, SW, DIBL are improved. Additionally, data retention time characteristic can be improved.
Comparison of Keyes Punch Biopsy Instrument with Cervical Punch Biopsy Forceps for Diagnosing Cervical Lesions.

To assess the feasibility and efficacy of Keyes punch biopsy instrument (KP) in diagnosing cervical lesions and compare it with cervical punch biopsy forceps (CP).



75 women having satisfactory colposcopy with abnormal transformation zone were included and paired colposcopic directed biopsies were taken using KP followed by CP from the same target area.



It was feasible in all cases to take cervical biopsy with KP after increasing its effective length. The volume of gross specimen obtained by KP was less than CP (0.076 ± 0.097 vs. 0.101 ± 0.156 cm3, p = 0.061), however on microscopic examination, mean length and mean depth of tissue in KP was greater than CP by 0.06 mm (p = 0.810) and 0.14 mm (p = 0.634) respectively. Exact agreement was found with the final surgical specimen in 42% of cases in both the biopsy forceps.



KP is almost at par with CP for diagnosing preinvasive cervical lesions and is a useful adjunct to the existing armamentarium of biopsy forceps.
Connections of the rat lateral septal complex

The organization of lateral septal connections has been re-examined with respect to its newly defined subdivisions, using anterograde (PHAL) and retrograde (fluorogold) axonal tracer methods. The results confirm that progressively more ventral transverse bands in the hippocampus (defined by the orientation of the trisynaptic circuit) innervate progressively more ventral, transversely oriented sheets in the lateral septum. In addition, hippocampal field CA3 projects selectively to the caudal part of the lateral septal nucleus, which occupies topologically lateral regions of the transverse sheets, whereas field CA1 and the subiculum project selectively to the rostral and ventral parts of the lateral septal nucleus, which occupy topologically medial regions of the transverse sheets. Finally, the evidence suggests that progressively more ventral hippocampal bands innervate progressively thicker lateral septal sheets. In contrast, ascending inputs to the lateral septum appear to define at least 20 vertically oriented bands or subdivisions arranged orthogonal to the hippocampal input (Risold, P.Y. and Swanson, L.W., Chemoarchitecture of the rat lateral septal nucleus,  (1997) 91-113). Hypothalamic nuclei forming parts of behavior-specific subsystems share bidirectional connections with specific subdivisions of the lateral septal nucleus (especially the rostral part), suggesting that specific domains in the hippocampus may influence specific hypothalamic behavioral systems. In contrast, the caudal part of the lateral septal nucleus projects to the lateral hypothalamus and to the supramammillary nucleus, which projects back to the hippocampus and receives its major inputs from brainstem cell groups thought to regulate behavioral state. The neural system mediating defensive behavior shows these features rather clearly, and what is known about its organization is discussed in some detail.
Design of Class-E Amplifier With MOSFET Linear Gate-to-Drain and Nonlinear Drain-to-Source Capacitances

This paper presents expressions for the waveforms and design equations to satisfy the ZVS/ZDS conditions in the class-E power amplifier, taking into account the MOSFET gate-to-drain linear parasitic capacitance and the drain-to-source nonlinear parasitic capacitance. Expressions are given for power output capability and power conversion efficiency. Design examples are presented along with the PSpice-simulation and experimental waveforms at 2.3 W output power and 4 MHz operating frequency. It is shown from the expressions that the slope of the voltage across the MOSFET gate-to-drain parasitic capacitance during the switch-off state affects the switch-voltage waveform. Therefore, it is necessary to consider the MOSFET gate-to-drain capacitance for achieving the class-E ZVS/ZDS conditions. As a result, the power output capability and the power conversion efficiency are also affected by the MOSFET gate-to-drain capacitance. The waveforms obtained from PSpice simulations and circuit experiments showed the quantitative agreements with the theoretical predictions, which verify the expressions given in this paper.
Wholebody Teleoperation for Humanoid Robot by Marionette System

Marionette system provides an intuitive teleoperation system for the difficulty controlling whole-body motion of a multi-joint robot and the complicated observation of its condition. This system employs a small robot which has similar form to a control target as an operating/displaying device, so that the device provides an operational feeling like manipulating a doll, so it is named Marionette device. Since the characteristics of the Marionette device and the target robot are synchronized bilaterally in the system, the operation of the Marionette device is reflected intuitively in the target, and the robot motion is also displayed simultaneously by the Marionette device. In this paper, we develop a humanoid type device as a Marionette device in order to operate a humanoid robot HRP-2 and implement a wholebody teleoperation method. The remote walking and manipulation experiments in an unknown environment are introduced. In this experiment, the operator should guess the remote environment using head camera view and control legs and arms by the Marionette device. We propose a new operation method for controlling the foot position and leg joints with the Marionette device. It makes possible to walk by pointing a foot stamp step by step in a stable place
The benefits of a challenge: student motivation and flow experience in tablet-PC-game-based learning

Advances in technology have led to continuous innovation in teaching and learning methods. For instance, the use of tablet PCs (TPCs) in classroom instruction has been shown to be effective in attracting and motivating students’ interest and increasing their desire to participate in learning activities. In this paper, we used a TPCs game – an iPad app called Motion Math: Hungry Fish – to help young students learn to theoretically understand and practically implement the mathematical concepts of addition and subtraction. Based on findings from a pilot study, we categorized the game’s 18 levels of difficulty into “challenging” (experimental group) and “matching” (control group) games. We aimed to investigate whether challenging games were more able than matching games to improve the students’ motivation, flow experience, self-efficacy for technology, self-efficacy for science, feelings about the TPC game, and satisfaction with the learning approach. The findings showed that the students in the experimental group achieved better flow experience, learning performance, and satisfaction.
A methodology for fire detection using colour pixel classification

Lately, fire outbreaks are common issues and its occurrence could cause severe damage toward nature and human properties. Thus, fire detection has been an important issue to protect human life and property and has increases in recent years. This paper focusing on the algorithm of fire detection using image processing techniques i.e. colour pixel classification. This Fire detection system does not require any special type of sensors and it has the ability to monitor large area and depending on the quality of camera used. The objective of this research is to design a methodology for fire detection using image as input. The propose algorithm is using colour pixel classification. This system used image enhancement technique, RGB and YCbCr colour models with given conditions to separate fire pixel from background and isolates luminance from chrominance contrasted from original image to detect fire. The propose system achieved 90% fire detection rate on average.
A case of accessory scrotum with perineal lipoma.

A 5-year-old boy was followed up with migratory spermatic cord and a perineal tumour at the paediatric department after birth. He was born by Caesarean section at 38 weeks in viviparity. Weight at birth was 3650 g. Although a meningocele in the sacral region was found by MRI, there were no symptoms in particular and no other deformity was found. When he was 4 years old, he presented to our department with the perinal tumour. On examination, a slender scrotum-like tumour covering the centre of the perineal lesion, along with inflammation and ulceration around the skin of the anus, was observed. Both testes and scrotums were observed in front of the tumour (Figure 1a). An excision of the tumour and Z-plasty of the perineal lesion were performed. The subcutaneous tissue consisted of adipose tissue-like lipoma and was resected along with the tumour (Figure 1b). A Z-plasty was carefully performed in order to maintain the lefteright symmetry of the
User Expectations and Rankings of Quality Factors in Different Web Site Domains

In the emerging electronic environment, knowing how to create customercentered Web sites is of great importance. This paper reports two studies on user perceptions of Web sites. First, Kano’s model of quality was used in an exploratory investigation of customer quality expectations for a specific type of site (CNN.com). The quality model was then extended by treating broader site types/domains. The results showed that (1) customers’ quality expectations change over time, and thus no single quality checklist will be good for very long, (2) the Kano model can be used as a framework or method for identifying quality expectations and the time transition of quality factors, (3) customers in a Web domain do not regard all quality factors as equally important, and (4) the rankings of important quality factors dif fer from one Web domain to another, but certain factors were regarded as highly impor tant across all the domains studied.
- Loop Intermittent Feedback Optimal Control : a probable human

Recent studies on human motor control have been largely innuenced by two important statements: (1) Sensory feedback is too slow to be involved at least in fast motor control actions; (2) Learned internal model of the systems plays an important role in motor control. As a result , the human motor control system is often described as open-loop and particularly as a system inverse. System inverse control is limited by too many problems to be a plausible candidate. Instead, an alternative between open-loop and feedback control is proposed here: the "open-loop intermittent feedback optimal control". In this scheme, a prediction of the future behaviour of the system, that requires feedback information and a system model, is used to determine a sequence of actions which is run open-loop. The prediction of a new control sequence is performed intermittently (due to computational demand and slow sensory feedback) but with a suucient frequency to ensure small control errors. The inverted pendulum on a cart is used to illustrate the viability of this scheme.
Secure and selective dissemination of XML documents

XML (eXtensible Markup Language) has emerged as a prevalent standard for document representation and exchange on the Web. It is often the case that XML documents contain information of different sensitivity degrees that must be selectively shared by (possibly large) user communities. There is thus the need for models and mechanisms enabling the specification and enforcement of access control policies for XML documents. Mechanisms are also required enabling a secure and selective dissemination of documents to users, according to the authorizations that these users have. In this article, we make several contributions to the problem of secure and selective dissemination of XML documents. First, we define a formal model of access control policies for XML documents. Policies that can be defined in our model take into account both user profiles, and document contents and structures. We also propose an approach, based on an extension of the Cryptolope#8482; approach [Gladney and Lotspiech 1997], which essentially allows one to send the same document to all users, and yet to enforce the stated access control policies. Our approach consists of encrypting different portions of the same document according to different encryption keys, and selectively distributing these keys to the various users according to the access control policies. We show that the number of encryption keys that have to be generated under our approach is minimal and we present an architecture to support document distribution.