Miracle-dz/UniFAR-FTUs huggingface dataset:
A High-Gain Power-Matching Technique for Efficient Radio-Frequency Power Harvest of Passive Wireless Microsystems

This paper proposes a transformer power-matching and gain-boosting technique to improve the efficiency of power harvesting of passive wireless microsystems. The proposed method utilizes a step-up transformer inserted between the antenna and voltage multiplier of passive wireless microsystems to perform both impedance transformation for power matching and voltage amplification prior to rectification. The series resistance of the primary winding is minimized using multiple metal layers connected using vias, while the width of the spiral of the secondary winding is made much smaller as compared with that of the primary winding to maximize the turn ratio and minimize its shunt capacitive losses. The detailed analysis of the proposed method and simulation results from Spectre of Cadence Design Systems are presented. The proposed power-matching and gain-boosting network, together with voltage multipliers, has been implemented in TSMC 0.18-m 1.8-V six-metal CMOS technology with thick-metal options. For the purpose of comparison, an LC-power-matching and gain-boosting network with the identical voltage multiplier has also been implemented on the same chip. Measurement results demonstrate that the proposed transformer power-matching and gain-boosting technique greatly improves the power sensitivity and efficiency as compared with widely used LC matching approaches.
Indirect antitumor effects of mammalian target of rapamycin inhibitors against Kaposi sarcoma in transplant patients.

of urine leakage around the bladder. Radiological imaging demonstrated leakage at the vesico-ureteral anastomosis. After insertion of a percutaneous nephrostomy catheter and later a double J-stent, the patient recovered and the anastomosis healed. As illustrated in Figure 1, serum creatinine values increased during the urine leakage, whereas the serum cystatin C concentration and the cystatin C-based estimeated GFR (eGFR) (5) indicated normal renal function. Creatinine clearance calculated from 24-hr urine was even lower than the Schwartz eGFR during urinary leakage (6).
EFFICIENCY IN THE PRODUCTION OF SUGAR CANE IN CENTRAL NEGROS AREA , PHILIPPINES : AN APPLICATION OF DATA ENVELOPMENT ANALYSIS

This paper attempts to identify the sources of inpu t use inefficiency in sugar cane production in the Central Negros area, Philippines. Non-parame tric Data Envelopment Analysis was used to determine the relative technical, scale and overall technical efficiencies of individual farms which u se the same type of inputs and produce the same output (cane). Under a specification of variable returns to scale, the mean technical, scale and overall tec hnical efficiency indices were estimated to be 0.7580, 0.9884 and 0.7298, respectively. The major source of overall inefficiencies appears to be technical inefficiency rather than scale effect. Input use differences between the technically effic i nt and inefficient farms are highly significant in ter ms of area, seeds and labor inputs. There was no significant difference in the use of fertilizer and power inputs. For many farms, labor is the most binding constraint, followed by land and power inpu ts while seeds and NPK fertilizer are not binding. This paper also provides evidence that the overall technical efficiency of sugar cane farmers in Central Negros is positively related to farmers’ age and experience, access to credit, nitrogen fertilizer application, soil type and farm size.
Using internet search queries to predict human mobility in social events

While our transport systems are generally designed for habitual behavior, the dynamics of large and mega cities systematically push it to its limits. Particularly, transport planning and operations in large events are well known to be a challenge. Not only they imply stress to the system on an irregular basis, their associated mobility behavior is also difficult to predict. Previous studies have shown a strong correlation between number of public transport arrivals with the semi-structured data mined from online announcement websites. However, these models tend to be complex in form and demand substantial information retrieval, extraction and data cleaning work, and so they are difficult to generalize from city to city. In contrast, this paper focuses on enriching previously mined information about special events using automated web search queries. Since this context data comes in unstructured natural language form, we employ supervised topic model to correlate it with real measurements of transport usage. In this way, the proposed approach is more generic and a transit agency can start planning ahead as early as the event is announced on the web. The results show that using information mined from the web search not only shows high prediction accuracy of public transport demand, but also potentially provides interesting insights about popular event categories based on extracted topics.
The Psychology of Religious Behavior, Belief and Experience

The Psychology of Religious Behavior, Belief and Experience. By Benjamin Beit-Hallahmi and Michael Argyle. London and New York: Routledge, 1997. xii + 256 pp. $21.99 (paper). The figure of Sigmund Freud casts a pervasive shadow across the literature and research reviewed in this comprehensive survey of the psychology of religion and religiosity. As Beit-Hallahmi and Argyle ol)serve, "terms such as father projection, identification, super-ego, or Oedipal solution have become part of the language of the human sciences when dealing with religion" (p. 254). Thus, though far from echoing Freud's consignment of religion to neurosis, the authors empiricist aspirations and the reductionist orientation firmly ground this work in the psychology of religion rather than religious psychology. Like most of the researchers and theorists whose work they describe, they are more likely to view the positive, observable aspects of religious behavior as regression in the service of the ego, rather than as the work of grace. Approaching religious experience with a hermeneutic informed by psychoanalytic ideas concerning the "universal features of n ythology and ritual" (p. 255) is, inevitably, an iconoclastic act. however, a variety of readers will find this book to be a helpful guide. Updating their earlier 1975 work, Beit-Halbmi and Argle evaluate a vast array of recent research and theory, all the while managing to combine scholarly rigor with readability. This work will be invaluable for students or researchers struggling in that crucial early stage of clarification and orientation within a discipline, through which any research idea must pass. Turning to the contents page. I breathed a sigh of relief as the broad contours of this complex field came immediately into sharper focus. Here are both rich bibliographic resources, linking seminal thinkers with recent research and broad theoretical frameworks lucidly supporting cach idea. Not everyone will be comfortable with the relatively unchallenged umpiricist assumptions which inform this work even though the authors acknowledge the "complexity and multivocality which characterize religious phenomena at every level" (p.1) If as they suggest, "any religious belief is a fantasy created to serve the needs of both the creative artist and the audience" (p.15), some might even question whether the objectifying gaze of empirical methodology is the best approach to religious phenomena at all. However, the research referred to is not limited only to those studies which extract and manipulate decontextualized data from survey questionnaires, but also draws from ethnographic and phenomenlolgical research tratitions. It would not do justice to this book, however, to give the impression that its use will be limited to academic research. It would be a well-read item on the shelf of pastoral caregivers who seek increased awareness of the psychological and sociological processes interwoven with such complexity in the religions experience of individual parishioners and the congregations which nurture them. …
DroidDolphin: a dynamic Android malware detection framework using big data and machine learning

Smartphones are getting more and more popular nowadays with various kinds of applications to make our lives more convenient. Unfortunately, malicious applications, also known as malware, arises as well. A user is often tempted into install a malware without any awareness, and the malware steals the users' personal information. Some malware would send SMS or make phone calls, which result in additional charges. Thus, detection of malware is critical to protect smartphone users. In this paper, we proposed DroidDolphin, a dynamic malware analysis framework which leverages the technologies of GUI-based testing, big data analysis, and machine learning to detect malicious Android applications. Based on our automatic testing tools, we were able to extract useful static and dynamic features from a training dataset composed with 32,000 benign and 32,000 malicious applications. Our preliminary results showed that the prediction accuracy reaches 86.1% and F-score reaches 0.857. As the dataset increases, the accuracy of detection increases significantly, which makes this methodology promising.
Intelligence quotient in paediatric sickle cell disease: a systematic review and meta‐analysis

Sickle cell disease (SCD) is the commonest cause of childhood stroke worldwide. Magnetic resonance imaging (MRI) is routinely used to detect additional silent cerebral infarction (SCI), as IQ is lower in SCI as well as stroke. This review assesses the effect of infarction on IQ, and specifically whether, compared to healthy controls, IQ differences are seen in children with SCI with no apparent MRI abnormality.
Robust Torque Vectoring Control

Abstract An investigation on the robustness of a torque vectoring control based on an inverse disturbance observer architecture for a rear wheel driven vehicle with electric single wheel drives is presented within this contribution. To ensure robust control parameters, specifications for eigenvalues (Γ-stability) and bounds on weighted sensitivity and complementary sensitivity functions in frequency domain (ℬ-stability) are formulated and transfered into parameter space. Simulation results show the effectiveness of the chosen controller design and parameter setup.
Influence of Fecal Sample Storage on Bacterial Community Diversity

Previous studies have identified a correlation, either positive or negative, between specific stool bacteria strains and certain autoimmune diseases. These conflicting data may relate to sample collection. The aim of this work was to evaluate the influence of the collection parameters of time and temperature on bacterial community composition. Samples were taken from healthy children and immediately divided in 5 sub-samples. One sample was frozen immediately at -80°C, while the other aliquots were frozen 12, 24, 48, and 72h later DNA extracted from each sample was used to amplify the 16S rRNA with barcoded primers. The amplified products were pooled and partial 16S rRNA sequences were obtained by pyrosequencing. Person-to-person variability in community diversity was high. A list of those taxa that comprise at least 1% of the community was made for each individual. None of these were present in high numbers in all individuals. The Bacteroides were present in the highest abundance in three of four subjects. A total of 23,701 16S rRNA sequences were obtained with an average of 1,185 reads per sample with an average length of 200 bases. Although pyrosequencing of amplified 16S rRNA identified changes in community composition over time (~10%), little diversity change was observed at 12 hours (3.06%) with gradual changes occurring after 24 (8.61%), 48 (9.72%), and 72 h (10.14%), post collection.
Using hard problems to create pseudorandom generators

It's not surprisingly when entering this site to get the book. One of the popular books now is the using hard problems to create pseudorandom generators. You may be confused because you can't find the book in the book store around your city. Commonly, the popular book will be sold quickly. And when you have found the store to buy the book, it will be so hurt when you run out of it. This is why, searching for this popular book in this website will give you benefit. You will not run out of this book.
Domain flexibility in aspartic proteinases

Comparison of the three‐dimensional structures of native endothiapepsin (EC 3.4.23.6) and 15 endothiapepsin oligopeptide inhibitor complexes defined at high resolution by X‐ray crystallography shows that endothiapepsin exists in two forms differing in the relative orientation of a domain comprising residues 190–302. There are relatively few interactions between the two parts of the enzyme; consequently, they can move as separate rigid bodies. A translational, librational, and screw analysis of the thermal parameters of endothiapepsin also supports and model in which the two parts can move relative to each other. In the comparison of different aspartic proteinases, the rms values are reduced by up to 47% when the two parts of the structure are superposed independently. This justifies description of the differences, including those between pepsinogen and pepsin (EC 3.4.34.1), as a rigid movement of one part relative to another although considerable distortions within the domains also occur. The consequence of the rigid body movement is a change in the shape of the active site cleft that is largest around the S3 pocket. This is associated with a different position and conformation of the inhibitors that are bound to the two endothiapepsin forms. The relevance of these observations to a model of the hydrolysis by aspartic proteinases is briefly discussed.
Short-term Efficacy of Hand-Arm Bimanual Intensive Training on Upper Arm Function in Acute Stroke Patients: A Randomized Controlled Trial

Background Rehabilitation training during the acute phase of stroke (<48 h) markedly improves impaired upper-limb movement. Hand-arm bimanual intensive training (HABIT) represents an intervention that promotes improvements in upper extremity function in children with cerebral palsy. This study repurposed HABIT in acute stroke patients and assessed recovery of upper extremity function when compared with a conventional rehabilitation program (CRP). Methods In a randomized trial, 128 patients with acute stroke were assigned to the HABIT or the CRP groups. The primary endpoint was clinical motor functional assessment that was guided by the Fugl-Meyer motor assessment (FMA) and outcomes of the action research arm test (ARAT). The secondary endpoint was an improved neurophysiological evaluation according to the motor-evoked potential amplitude (AMP), resting motion threshold (RMT), and central motor conduction time (CMCT) scores over the 2-week course of therapy. In both groups, scores were evaluated at baseline, 1 week from commencing therapy, and post-therapy. Results After 2 weeks, the HABIT group showed improved scores as compared the CRP group for FMA (51.7 ± 6.44 vs. 43.5 ± 5.6, P < 0.001), ARAT (34.5 ± 6.2 vs. 33.3 ± 6.3, P = 0.022), and AMP (1.1 ± 0.1 vs. 1.0 ± 0.1, P < 0.001). However, CMCT (8.6 ± 1.0 vs. 9.1 ± 0.6, P = 0.054) and RMT (55.3 ± 4.2 vs. 57.5 ± 4.1, P = 0.088) were similar when comparing between groups. Conclusion HABIT significantly improved motor functional and neuro-physiological outcomes in patients with acute stroke, which suggested that HABIT might represent an improved therapeutic strategy as compared CRP.
$L_p$-Problem-Based Transmission Rate Allocation With Packet Loss and Power Metrics Over Satellite Networks

This paper tackles the classical problem of transmission rate allocation in satellite networks where fading may negatively impact communications. Within the framework of multiobjective programming (MOP), this paper introduces a transmission rate allocation criterion among Earth stations (ESs) called Lp-problem-based rate allocation (LpRA). The allocations provided by LpRA are representative of a compromise among the need of different performance metrics such as packet loss and transmission power (TP). This paper determines the condition for the existence and the value of a LpRA transmission rate allocation bound Rbound, to which the transmission rate globally allocated by LpRA converges when the overall available transmission rate RTOT tends to infinity. The performance analysis, which is carried out through simulations under different satellite channel conditions, is aimed at investigating LpRA features, at showing the existence of the rate bound and the advantages concerning the rate allocation given by using LpRA, and at comparing LpRA with two other schemes in the literature concerning allocated rate, packet loss rate, transmit power, and execution time.
The detection of small relative simulated field defects using multifocal VEPs

Introduction: The multifocal visual‐evoked potential (mfVEP) has been widely used in the study of diseases of the visual system. However, the sensitivity of the mfVEP in the objective detection of relative field defects has not been determined. This study investigates variations in mfVEP responses while simulating relative field defects by using different luminous transmission masks [neutral density (ND) filters] on the stimulus pattern.
Evaluation of the lasso and the elastic net in genome-wide association studies

The number of publications performing genome-wide association studies (GWAS) has increased dramatically. Penalized regression approaches have been developed to overcome the challenges caused by the high dimensional data, but these methods are relatively new in the GWAS field. In this study we have compared the statistical performance of two methods (the least absolute shrinkage and selection operator—lasso and the elastic net) on two simulated data sets and one real data set from a 50 K genome-wide single nucleotide polymorphism (SNP) panel of 5570 Fleckvieh bulls. The first simulated data set displays moderate to high linkage disequilibrium between SNPs, whereas the second simulated data set from the QTLMAS 2010 workshop is biologically more complex. We used cross-validation to find the optimal value of regularization parameter λ with both minimum MSE and minimum MSE + 1SE of minimum MSE. The optimal λ values were used for variable selection. Based on the first simulated data, we found that the minMSE in general picked up too many SNPs. At minMSE + 1SE, the lasso didn't acquire any false positives, but selected too few correct SNPs. The elastic net provided the best compromise between few false positives and many correct selections when the penalty weight α was around 0.1. However, in our simulation setting, this α value didn't result in the lowest minMSE + 1SE. The number of selected SNPs from the QTLMAS 2010 data was after correction for population structure 82 and 161 for the lasso and the elastic net, respectively. In the Fleckvieh data set after population structure correction lasso and the elastic net identified from 1291 to 1966 important SNPs for milk fat content, with major peaks on chromosomes 5, 14, 15, and 20. Hence, we can conclude that it is important to analyze GWAS data with both the lasso and the elastic net and an alternative tuning criterion to minimum MSE is needed for variable selection.
IPO Pricing in the Dot-Com Bubble: Complacency or Incentives

IPO underpricing reached astronomical levels during 1999 and 2000. We show that the regime shift in initial returns and other elements of pricing behavior can be at least partially accounted for by marked changes in pre-IPO ownership structure and insider selling behavior over the period, which reduced key decision makers' incentives to control underpricing. After controlling for these changes, the difference in underpricing between 1999 and 2000 and the preceding three years is much reduced. Our results suggest that it was firm characteristics that were unique during the "dot-com bubble" and that pricing behavior followed from incentives created by these characteristics. Copyright 2003 by the American Finance Association.
Down-regulation of the transcription factor ZAC1 upon pre- and postconditioning protects against I/R injury in the mouse myocardium.

AIMS Myocardial infarction leads to heart failure and death. Ischaemic preconditioning (PreC) and postconditioning (PostC) reduce infarct size in animal models and human. Zac1 was identified as the only gene related to apoptosis and jointly down-regulated upon PreC and PostC. The aim of our study was to investigate the role of Zac1 down-regulation during ischaemia-reperfusion (I/R) in vivo. METHODS AND RESULTS C57BL/6 mice were submitted to myocardial I/R injury, PreC, or PostC protocols. QPCR and immunochemistry showed that Zac1 expression was down-regulated both at the transcriptional and the protein levels upon PreC and PostC. Zac1(-/-) Knockout mice (n = 7) developed smaller infarcts (54%) than Zac1(+/+) littermates (n = 8) and decreased apoptosis (61.7%) in the ischaemic part of the left ventricle during I/R (Zac1(-/-), n = 6 vs. Zac1(+/+), n = 7; P = 0.0012). Mutants showed under control conditions a decrease of 53.9% in mRNA of Daxx, a pro-apoptotic protein playing a key role in I/R injuries (4.81 ± 0.77, n = 4 Zac1(-/-) mice vs. 10.44 ± 3.5, n = 7 Zac1(+/+) mice; P = 0.0121). CONCLUSION Our study shows for the first time that Zac1 is down-regulated both at the transcriptional and protein levels upon PreC and PostC in wild-type mice. Moreover, inactivation of Zac1 in vivo is associated with a decreased amount of Daxx transcripts and, upon I/R injury, decreased infarct size and apoptosis. Altogether, our results show that Zac1 down-regulation plays a key role during cardioprotection against I/R injury and support the concept that cardioprotection regulates a network of interacting pro-apoptotic genes including Zac1 and Daxx.
Midterm Outcome of Total Hip Arthroplasty for Rapidly Destructive Coxarthrosis

Purpose. To compare the midterm outcome in 12 women who underwent total hip arthroplasty (THA) for rapidly destructive coxarthrosis (RDC) and in 12 controls who underwent THA for osteoarthritis. Methods. Records of 12 women aged 50 to 80 (mean, 72.3) years who underwent THA for RDC after a mean of 9 (range, 4–11) months since symptom onset were reviewed. They were compared with 12 age-and sex-matched controls who underwent THA for primary or secondary osteoarthritis. Acetabular bone deficiency of the 12 RDC patients was classified as type I (n=7), type II (n=4), or type III (n=1). Type I was treated with cementless THA, and types II and III were treated with THA with a cemented acetabular component. The femoral component was cementless. Pre- and post-operative Harris Hip Score was assessed. Radiographs of the hip were evaluated for implant migration, osteolysis, and periprosthetic radiolucency in the acetabulum and proximal femur. Results. The 12 women who underwent THA for RDC and the 12 controls who underwent THA for osteoarthritis were comparable in terms of pre-, intra-, and post-operative parameters. After a mean follow-up of 9.3 years, the mean Harris Hip Score improved from 38.3 to 81.1 in RDC patients and from 43.6 to 84.2 in controls (p=0.13). One RDC patient had dislocation but did not require revision surgery. One RDC patient developed a radiolucent line <2 mm in zones 1 and 7 of the femoral component, but no migration occurred. No patient had progression of bony destruction, loosening, osteolysis, migration, or radiolucency of the acetabular component. Conclusion. Despite the rapid destruction of the acetabulum and femoral head in RDC patients, cemented or cementless THA achieved a good midterm outcome comparable to that for patients with primary or secondary osteoarthritis.