Miracle-dz/UniFAR-FTUs huggingface dataset:
The Impact of Quality Regulation on the Decisions of a Global Supply Chain

In this study, we investigate the impact of quality regulation on the quality of investment and the pricing decisions of a global supply chain, where products are produced by a manufacturer in one country, but sold by a retailer in another country to its market. In particular, the quality of the products is regulated by policy makers of the importer country. We consider two cases of supply chain structures: vertical integration and a decentralized setting. A numerical example of a global supply chain where the manufacturer in China takes orders from a retailer in another country, one which enforces quality regulations, is presented to illustrate some related issues. Finally, conclusions are drawn and some topics for future work are suggested.
Role of galectin-3 and plasma B type-natriuretic peptide in predicting prognosis in discharged chronic heart failure patients

AbstractGalectin-3 demonstrated to be a robust independent marker of cardiovascular mid-term (18-month) outcome in heart failure (HF) patients. The objective of this study was to analyze the value of a predischarged determination of plasma galectin-3 alone and with plasma brain natriuretic peptide (BNP) in predicting mid-term outcome in frequent-flyers (FF) HF (≥2 hospitalization for HF/year)/dead patients discharged after an acute decompensated HF (ADHF) episode.All FF chronic HF subjects discharged alive after an ADHF were enrolled. All patients underwent a determination of BNP and galectin-3, a 6-minute walk test, and an echocardiogram within 48 hours upon hospital discharge. Death by any cause, cardiac transplantation, and worsening HF requiring readmission to hospital were considered cardiovascular events.Eighty-three patients (67 males, age 73.2 ± 8.6 years old) were analyzed (mean follow-up 11.6 ± 5.2 months; range 4–22 months). During the follow-up 38 events (45.7%) were scheduled: (13 cardiac deaths, 35 rehospitalizations for ADHF). According to medical history, in 33 patients (39.8%) a definition of FF HF patients was performed (range 2–4 hospitalization/year). HF patients who suffered an event (FF or death) demonstrated more impaired ventricular function (P = 0.037), higher plasma BNP (P = 0.005), and Gal-3 at predischarge evaluation (P = 0.027). Choosing adequate cut-off points (BNP ≥ 500 pg/mL and Gal-3 ≥ 17.6 ng/mL), the Kaplan–Meier curves depicted the powerful stratification using BNP + Gal-3 in predicting clinical course at mid-term follow-up (log rank 5.65; P = 0.017). Adding Gal-3 to BNP, a single predischarge strategy testing seemed to obtain a satisfactorily predictive value in alive HF patients discharged after an ADHF episode.
Large-area moderator tracking and demonstrational configuration of position based interactions for virtual studios

In this paper we introduce a system for tracking persons walking or standing on a large planar surface and for using the acquired data to easily configure position based interactions for virtual studio productions. The tracking component of the system, radarTRACK, is based on a laser scanner device capable of delivering interaction points on a large configurable plane. By using the device on the floor it is possible to use the delivered data to detect feet positions and derive the position and orientation of one or more users in real time. The second component of the system, named OscCalibrator, allows for the easy creation of multidimensional linear mappings between input and output parameters and the routing of OSC messages within a single modular design environment. We demonstrate the use of our system to flexibly create position-based interactions in a virtual studio environment.
MODEL OF STUDENTS’ DISCIPLINE ATTITUDE FORMATION IN SD NEGERI 2 HARAPAN JAYA

This research aims to describe and explain the model of student ’s discipline attitude formation. The method used was descriptive with qualitative approach. The data were collected through observation, interview and documentation. The data were analyzed by using Miles and Huberman’s model. The data source consisted of principal, teachers and students. The results: (1) effort to form student ’s discipline attitude, (a) planning, (b) school program, (c) activity, (d) implementation of activity. (2) school commitment in forming student ’s discipline attitude, (a) affective, (b) continuance, (c) normative. (3) supporting factors : parents, principals and teachers, the willngness of the students. (4) the school's assessment using social attitude journals. Through these results, the model for the establishment of students ’s discipline attitude formation include d the pre-implementation stage, containing the planning; implementation, containing the implementation of activities, carrying capacity, attitudes would be assessed to determine follow-up. The whole stage was accompanied by commitment from principals, teachers, parents, and students. Keywords: attitude formation, discipline, commitment, attitude assessment.
Targeted Mimicry Attacks on Touch Input Based Implicit Authentication Schemes

Touch input implicit authentication (``touch IA'') employs behavioural biometrics like touch location and pressure to continuously and transparently authenticate smartphone users. We provide the first ever evaluation of targeted mimicry attacks on touch IA and show that it fails against shoulder surfing and offline training attacks. Based on experiments with three diverse touch IA schemes and 256 unique attacker-victim pairs, we show that shoulder surfing attacks have a bypass success rate of 84% with the majority of successful attackers observing the victim's behaviour for less than two minutes. Therefore, the accepted assumption that shoulder surfing attacks on touch IA are infeasible due to the hidden nature of some features is incorrect. For offline training attacks, we created an open-source training app for attackers to train on their victims' touch data. With this training, attackers achieved bypass success rates of 86%, even with only partial knowledge of the underlying features used by the IA scheme. Previous work failed to find these severe vulnerabilities due to its focus on random, non-targeted attacks. Our work demonstrates the importance of considering targeted mimicry attacks to evaluate the security of an implicit authentication scheme. Based on our results, we conclude that touch IA is unsuitable from a security standpoint.
The cyclical relationship between physiology and discipline: one endurance running coach’s experiences problematizing disciplinary practices

ABSTRACT There have been numerous calls by coaching researchers for Foucauldian-informed coach developers to help coaches change their practices to be less reliant on discipline’s techniques and instruments. In this paper, we explored what it might mean for a Foucauldian-informed coach developer to work collaboratively with a male university endurance running coach as he learned how to problematize the use of discipline. More specifically, we examined some of the barriers, challenges, and opportunities that the coach experienced as he attempted to learn, in collaboration with the first author, how to question the unintended consequences of discipline’s techniques and instruments and rethink the “total effects” of his coaching practices. The results revealed that the coach was able to show a degree of problematization, however, in the field the deep-rooted connection between endurance running, physiology, and discipline made coaching for him in a less disciplinary way a challenge. To conclude, Foucauldian-informed coach developers working in sports where physiology is the predominant sport science could use specific pedagogical strategies that work with and explicitly complicate the strong cyclical relationship between discipline and physiology to help coaches implement practices that are less dominated by, not absent of, physiology.
An Asynchronous Periodic Sequential Patterns Mining Algorithm with Multiple Minimum Item Supports

Original sequential pattern mining model only considers occurrence frequentness of sequential patterns, disregards their occurrence periodicity. We propose the asynchronous periodic sequential pattern mining model to discover the sequential patterns which are not only occurring frequently, but also appearing periodically. For this mining model, we propose a pattern-growth mining algorithm to mine asynchronous periodic sequential patterns with multiple minimum item supports. This algorithm employs a dividing and rule method to mine asynchronous periodic sequential pattern recursively and depth first. Experimental results show the efficiency and stability of the algorithm.
LONG TERM DURABILITY OF UNIDIRECTIONAL CFRP USING TOUGHENED MATRIX RESIN

The mechanical behavior of polymer resins exhibits time and temperature dependence, called viscoelastic behavior, not only above the glasstransition temperature Tg but also below Tg. Thus, it can be presumed that the mechanical behavior of FRP using polymer resins as matrices also depends on time and temperature even below Tg which is within the normal operating temperature range. Therefore, it is strongly expected that the accelerated testing methodology for the long-term life prediction of composite structures exposed under the actual environments of temperature and others is established. In our previous papers, the time and temperature dependence of the static, creep and fatigue strengths for various directions of CFRP laminates with various combinations of fiber and matrix were measured. The master curves of these static, creep and fatigue strengths of CFRP laminates were constructed by using measured data based on the time-temperature superposition principle (TTSP) to be held for the viscoelastic behavior of matrix resin. As results, it was cleared experimentally that the long-term static, creep and fatigue strengths of CFRP laminates can be predicted by using the shortterm strengths measured based on TTSP for the viscoelastic behavior of matrix resin. We have proposed a general and rigorous advanced accelerated testing methodology (ATM-2) which can be applied to the life prediction of CFRP exposed to an actual load and environment history based on the three conditions. One of these conditions is the fact that the time and temperature dependence on the strength of CFRP is controlled by the viscoelastic compliance of matrix resin [1]. The formulations of creep compliance and time-temperature shift factors of matrix resin are carried out based on the timetemperature superposition principle (TTSP). The formulations of long-term life of CFRP under an actual loading are carried out based on the three conditions. In this paper, the tensile and compressive strengths in the longitudinal and transverse directions of unidirectional CFRP with toughend matrix resin are evaluated under various temperatures. The time and temperature dependence of these static strengths is discussed based on the TTSP which holds for the viscoelastic behavior of matrix resin.
L-Ficolin Binds to the Glycoproteins Hemagglutinin and Neuraminidase and Inhibits Influenza A Virus Infection Both in vitro and in vivo

L-ficolin, one of the complement lectins found in human serum, is a novel pattern recognition molecule that can specifically bind to microbial carbohydrates, thereby activating the lectin complement pathway and mounting a protective innate immune response. However, little is known about the role of L-ficolin during viral infections in vivo. In the present study, we used a mouse model of influenza A virus infection to demonstrate that the administration of exogenous L-ficolin or ficolin A (FCNA – an L-ficolin-like molecule in the mouse) is protective against the virus. Furthermore, FCNA-null mice have a greatly increased susceptibility to infection with the influenza A virus. Moreover, we found recombinant human L-ficolin inhibited influenza A virus entry into Madin-Darby canine kidney cells. More importantly, L-ficolin can recognize and bind hemagglutinin (HA) and neuraminidase (NA) glycoproteins and different subtypes of influenza A virus, and these interactions can be competitively inhibited by N-acetyl-D-glucosamine. In addition, the binding of L-ficolin and FCNA may lead to the activation of the lectin complement pathway. To our knowledge, this is the first report demonstrating that L-ficolin can block influenza virus infections both in vitro and in vivo using FCNA-knockout mice, possibly by interacting with the carbohydrates of HA and NA. Therefore, these data may provide new immunotherapeutic strategies based on the innate immune molecule L-ficolin against the influenza A virus.
On the Generation of Alternative Solutions for Discrete Optimization Problems with Uncertain Data | An Experimental Analysis of the Penalty Method

The penalty method is a method to generate alternative solutions for many dis- crete optimization problems. A penalty parameter easily allows to have in∞uence on the difierence between optimal and alternative solution. We experimentally test the penalty method for three optimization problems (shortest paths, assignments, travelling salesman) with parameters that change between plan- ning phase and realization phase.
Men and Women at Promise for Scientific Excellence: Similarity Not Dissimilarity

U.S. math-science graduate students possessing world-class talent (368 males, 346 females) were assessed on psychological attributes and personal experiences in order to examine how their talents emerged and developed. Comparisons were made, using similar assessments, with mathematically talented students (528 males, 228 females) identified around age 13 and tracked into adulthood by the Study of Mathematically Precocious Youth (SMPY). Well before college, both samples were academically distinguished; however, the graduate students could be identified during adolescence as a subset of mathematically talented youths based on their nonintellectual attributes. Their profiles corresponded to what earlier psychological studies found to characterize distinguished (and exclusively male) scientists: exceptional quantitative reasoning abilities, relatively stronger quantitative than verbal reasoning ability, salient scientific interests and values, and, finally, persistence in seeking out opportunities to study scientific topics and develop scientific skills. On these attributes, sex differences were minimal for the graduate students (but not for the SMPY comparison groups). Developing exceptional scientific expertise apparently requires special educational experiences, but these necessary experiences are similar for the two sexes.
Impact of CO2-Induced Warming on Hurricane Intensities as Simulated in a Hurricane Model with Ocean Coupling

Abstract This study explores how a carbon dioxide (CO2) warming–induced enhancement of hurricane intensity could be altered by the inclusion of hurricane–ocean coupling. Simulations are performed using a coupled version of the Geophysical Fluid Dynamics Laboratory hurricane prediction system in an idealized setting with highly simplified background flow fields. The large-scale atmospheric boundary conditions for these high-resolution experiments (atmospheric temperature and moisture profiles and SSTs) are derived from control and high-CO2 climatologies obtained from a low-resolution (R30) global coupled ocean–atmosphere climate model. The high-CO2 conditions are obtained from years 71–120 of a transient +1% yr−1 CO2-increase experiment with the global model. The CO2-induced SST changes from the global climate model range from +2.2° to +2.7°C in the six tropical storm basins studied. In the storm simulations, ocean coupling significantly reduces the intensity of simulated tropical cyclones, in accord with .
Maximum-SNR Antenna Selection Among a Large Number of Transmit Antennas

The recent increased interest in large-scale multiple- input multiple-output systems, combined with the cost of analog radio-frequency (RF) chains, necessitates the use of efficient antenna selection (AS) schemes. Capacity or signal-to-noise ratio (SNR) optimal AS has been considered to require an exhaustive search among all possible antenna subsets. In this work, we prove that, under a total power constraint on the beamformer, the maximum-SNR joint beamforming transmit AS problem with two receive antennas and an arbitrary number of transmit antennas N is polynomially solvable and develop an algorithm that solves it with quartic complexity, independently of the number of selected antennas. The algorithm identifies with complexity O(N4) a cubic-size collection of antenna subsets that contains the one that maximizes the post-processing receiver SNR. From a different perspective, for any given two-row complex matrix, our algorithm computes with quartic complexity its two-row submatrix with the maximum principal singular value, for any number of selected columns. In addition, our method also applies to receive AS with two transmit antennas. Finally, if we enforce a per-antenna-element power constraint on the beamformer (i.e., constant-envelope transmission), then the set of transmit AS subsets that contains the optimal one is the same as in the total power constraint case. Therefore, our algorithm offers a practical solution to the maximum-SNR antenna selection problem when either the transmitter or the receiver consists of a large number of antennas.
Superparamagnetic Iron Oxide Nanoparticles as MRI contrast agents for Non-invasive Stem Cell Labeling and Tracking

Stem cells hold great promise for the treatment of multiple human diseases and disorders. Tracking and monitoring of stem cells in vivo after transplantation can supply important information for determining the efficacy of stem cell therapy. Magnetic resonance imaging (MRI) combined with contrast agents is believed to be the most effective and safest non-invasive technique for stem cell tracking in living bodies. Commercial superparamagnetic iron oxide nanoparticles (SPIONs) in the aid of transfection agents (TAs) have been applied to labeling stem cells. However, owing to the potential toxicity of TAs, more attentions have been paid to develop novel SPIONs with specific surface coating or functional moieties which facilitate effective cell internalization in the absence of TAs. This review aims to summarize the recent progress in the design and preparation of SPIONs as cellular MRI probes, to discuss their applications and current problems facing in stem cell labeling and tracking, and to offer perspectives and solutions for the future development of SPIONs in this field.
Integrating the user's semantic features with content-based 3D model retrieval

Content-based 3D model retrieval technology has become one of the hottest research spots. In order to improving the performance of retrieval, this paper proposed a method which based on the distribution surface area of 3D model and integrating with user's semantic features. we conducted retrieval experiments, the results shown that the retrieval accuracy and efficiency are both improved.
A Robust Planning Algorithm for Groups of Entities in Discrete Spaces

Automated planning is a well-established field of artificial intelligence (AI), with applications in route finding, robotics and operational research, among others. The task of developing a plan is often solved by finding a path in a graph representing the search domain; a robust plan consists of numerous paths that can be chosen if the execution of the best (optimal) one fails. While robust planning for a single entity is rather simple, development of a robust plan for multiple entities in a common environment can lead to combinatorial explosion. This paper proposes a novel hybrid approach, joining heuristic search and the wavefront algorithm to provide a plan featuring robustness in areas where it is needed, while maintaining a low level of computational complexity.
Comparative Analysis of WRKY Genes Potentially Involved in Salt Stress Responses in Triticum turgidum L. ssp. durum

WRKY transcription factors are involved in multiple aspects of plant growth, development and responses to biotic stresses. Although they have been found to play roles in regulating plant responses to environmental stresses, these roles still need to be explored, especially those pertaining to crops. Durum wheat is the second most widely produced cereal in the world. Complex, large and unsequenced genomes, in addition to a lack of genomic resources, hinder the molecular characterization of tolerance mechanisms. This paper describes the isolation and characterization of five TdWRKY genes from durum wheat (Triticum turgidum L. ssp. durum). A PCR-based screening of a T. turgidum BAC genomic library using primers within the conserved region of WRKY genes resulted in the isolation of five BAC clones. Following sequencing fully the five BACs, fine annotation through Triannot pipeline revealed 74.6% of the entire sequences as transposable elements and a 3.2% gene content with genes organized as islands within oceans of TEs. Each BAC clone harbored a TdWRKY gene. The study showed a very extensive conservation of genomic structure between TdWRKYs and their orthologs from Brachypodium, barley, and T. aestivum. The structural features of TdWRKY proteins suggested that they are novel members of the WRKY family in durum wheat. TdWRKY1/2/4, TdWRKY3, and TdWRKY5 belong to the group Ia, IIa, and IIc, respectively. Enrichment of cis-regulatory elements related to stress responses in the promoters of some TdWRKY genes indicated their potential roles in mediating plant responses to a wide variety of environmental stresses. TdWRKY genes displayed different expression patterns in response to salt stress that distinguishes two durum wheat genotypes with contrasting salt stress tolerance phenotypes. TdWRKY genes tended to react earlier with a down-regulation in sensitive genotype leaves and with an up-regulation in tolerant genotype leaves. The TdWRKY transcripts levels in roots increased in tolerant genotype compared to sensitive genotype. The present results indicate that these genes might play some functional role in the salt tolerance in durum wheat.
The construction of mental health as a technological problem in India

ABSTRACT This paper points to an underexplored relationship of reinforcement between processes of quantification and digitisation in the construction of mental health as amenable to technological intervention, in India. Increasingly, technology is used to collect mental health data, to diagnose mental health problems, and as a route of mental health intervention and clinical management. At the same time, mental health has become recognised as a new public health priority in India, and within national and global public health agendas. We explore two sites of the technological problematisation of mental health in India: a large-scale survey calculating prevalence, and a smartphone app to manage stress. We show how digital technology is deployed both to frame a ‘need’ for, and to implement, mental health interventions. We then trace the epistemologies and colonial histories of ‘psy’ technologies, which question assumptions of digital empowerment and of top-down ‘western’ imposition. Our findings show that in India such technologies work both to discipline and liberate users. The paper aims to encourage global debate inclusive of those positioned inside and outside of the ‘black box’ of mental health technology and data production, and to contribute to shaping a future research agenda that analyses quantification and digitisation as key drivers in global advocacy to make mental health count.