Miracle-dz/UniFAR-FTUs huggingface dataset:
From manufacturing to design : an essay on the work of Kim B. Clark. Harvard Business School Working Paper- 07-057

In this paper, we describe Clark's research and discuss his contributions to management scholarship and economics. We look at three distinct bodies of work. In the first, Clark (in conjunction with Robert Hayes and Steven Wheelwright) argued that the abandonment by U.S. managers of manufacturing as a strategic function exposed U.S. companies to Japanese competition in terms of the cost and quality of goods. In the second, conducted with Wheelwright, Bruce Chew, Takahiro Fujimoto, Kent Bowen and Marco Iansiti, Clark made the case that product development could be managed in new ways that would lead to significant competitive advantage for firms. Finally, in work conducted with Abernathy, Rebecca Henderson and Carliss Baldwin, Clark placed product and process designs at the center of his explanation of how innovation determines the structure and evolution of industries.
The EU-25 Emissions from Road Transport and Ground Level Ozone Air Pollution at Rural Mountain Sites in Slovakia

Road transport sector produces a significant quantity of ground level ozone (O3) precursors. Relevant abatement of exhaust emissions has been achieved in Europe during last decades due to environmental policy. Presented results indicate relatively weak response of key O3 precursors decrease: NOx (-40%), NMVOC (-69%), and CO (-63%) from the EU-25 road transport to O3 concentration at background site Stara Lesna in Slovakia for time period 1992-2005. At this site mean annual O3 concentration varies around 63.4 μg m-3 and detected slight decrease of -0.89 μg m-3/decade is not statistically significant. Furthermore, high O3 concentrations occurred in the High Tatra Mountains region during the August 2003 heat wave which showed an important impact of long-range air pollution on air quality of Slovak mountain region. More studies will be needed to specify the role of meteorological and environmental factors in the transport and transformation of emissions from large urban regions to remote sites.
Long-Range Alpha Detector (LRAD) technology applied to ER and D&D problems

Standard alpha detectors are severely limited when monitoring alpha contamination on large surfaces and the inside surfaces of pipes, ducts, and equipment. The Long-Range Alpha Detector (LRAD) system overcomes these problems by detecting the ion pairs created by an alpha particle in ambient air, rather than the alpha particle directly. These ion pairs are transported to a collection grid by either an air current or an electric field and create a small electric current (typically 10{sup {minus}13} to 10{sup {minus}14} A) that is read by an electrometer and displayed on a data acquisition system. This method of detection is used to create monitoring systems for both the environmental restoration and decontamination and decommissioning fields.
Expression of Genes Related to Glycolysis in the Liver and Skeletal Muscle of Rats after Citric Acid Administration

Citric acid is known to alleviate physical fatigue and improve athletic performance; however, the underlying mechanism is unknown. Therefore, we aimed to investigate the effect of citric acid administration on the expression of key glycolysis-related genes in the liver and skeletal muscle of rats. Eight-week-old male Sprague-Dawley rats were divided into two groups—control and citric acid groups. The rats were fasted overnight, after which distilled water or citric acid solution was administered intragastrically; after 150 min, the rats were sacrificed, and the liver and skeletal muscle were collected. In the skeletal muscle, namely soleus and gastrocnemius muscles, the phosphofructokinase and pyruvate kinase gene expression were significantly decreased by citric acid administration. In contrast, the glucokinase and pyruvate kinase gene expression in the liver was significantly increased. These results suggest that exogenous dietary citric acid suppresses glycolysis in the skeletal muscle at the transcription level.
SISTEM INFORMASI PENDAFTARAN SISWA BARU (PSB)DI SMK SAKTI GEMOLONG BERBASIS CLIENT SERVER

ABSTRAK KHUSNUL HASAN NUGROHO, M3304067, 2007, SISTEM INFORMASI PENDAFATRAN SISWA BARU (PSB) DI SMK SAKTI GEMOLONG BERBASIS CLIENT SERVER. Teknik Komputer Program Diploma III Ilmu Komputer. Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sebelas Maret Surakarta. SMK Sakti Gemolong merupakan salah satu instansi yang bergerak di bidang pendidikan membutuhkan sumber data dan pengolah data yang tepat agar tercipta efisiensi dan keakuratan data yang dapat mendukung proses operasional,menejemen dan proses pengambilan keputusan dengan baik dan tepat. Proses Penerimaan Siswa Baru ( PSB) di SMK Sakti Gemolong selama ini sistem yang digunakan masih bersifat manual yaitu para calon siswa dalam proses registrasi memasukkan data dengan menulis pada formulir pendaftaran setelah data yang ditulis pada formulir pendaftaran, baru kemudian direkap oleh panitia PSB kedalam komputer. Karena jumlah pendaftar yang cukup banyak yaitu sekitar 900 pendaftar, sehingga dalam proses input dan olah data membutuhkan waktu yang tidak sedikit. Mengatasi hal tersebut, dibuatlah suatu sistem informasi untuk mengolah data pendaftar pada proses penerimaan siswa baru, sehingga proses input dan olah data calon siswa nantinya dapat dihasilkan informasi yang cepat, tepat dan akurat sesuai dengan kebutuhan. Sehingga diperoleh sebuah sistem informasi pendaftaran dengan hasil yang diinginkan berupa laporan yang cepat dan akurat setelah dilakukan testing program dengan menggunakan jaringan client server.
Systems approach to the design of locomotive fatigue management technologies

Falling asleep while operating a vehicle leads to serious accidents and loss of lives. The challenge of detecting drowsiness nonintrusively stems from the absence of a single marker, and the existence of diverse signs and symptoms that collectively but not uniquely characterize it. Current alerters for locomotive cabs are inadequate partly because they a) often monitor one modality b) fail to consider the inherent characteristics of the locomotive operator tasks and physical environment, and c) are typically developed without quantitative techniques to assess performance and optimize components as part of an overall system, rather than at the individual level. Based on an estimation theory framework, a new systems approach is here proposed to design locomotive cab alerting technologies. The main idea is to combine information from an infrared eyelid monitor and a generic Train Sentry class activity monitor, to isolate the common drowsiness component and obtain an improved estimate of the operator’s state. A study first quantified the important physical aspects of the locomotive cab and engineer behavior pertinent to the performance of image-based eye closure monitors. A bench test study evaluated Attention Technology’s current infrared eye closure monitor prototype front-end image analysis, Model DD-850, to verify whether its performance was a good match to the locomotive physical environment and engineer behavioral characteristics. Data from these studies were used to develop a simulation software tool in MATLAB/SIMULINK. The goal was to assess the proposed tandem detector solution and to support rational design, development and optimization of future locomotive alerting systems. A signal detection theory (SDT) approach was employed. However, the detectors were nonlinear, had multiple alerting levels and displayed non-Gaussian noise characteristics. Therefore, Monte Carlo methods were used to compute their SDT parameters on both a standalone and tandem basis. Investigation through simulation showed that adopting an architecture using tandem detectors and an “AND” logic based arbiter reduces the false alarm rate by an order of magnitude and improves the total time to alert, at the expense of only a few percent in missed alarm probability. Detection performance may be further enhanced using a speed dependent arbiter with “AND” logic above a speed threshold and “OR” logic below it. In the simulation, the speed threshold was found to be 25 mph. This system-level study provides enough ground to build a prototype system and test the proposed solution in a simulator. Supported by FRA through Department of Transportation Volpe Research Center Contract DTRS57-04Q-80164 PR 79-3354 and by a Postgraduate Scholarship from the Natural Sciences and Engineering Research Council of Canada. Thesis Supervisor: Dr. Charles M. Oman. Title: Senior Lecturer. Director, Man Vehicle Laboratory. Department of Aeronautics and Astronautics.
Study on Rib`s Structural Details of Double Baseplate Connection Through Numerical Analysis

In this study, steel-pier`s structural behavior by design variables of ribs were analyzed in order to improve structural details of ribs supporting double base plates. A numerical analysis was conducted using commercial FE analysis program. Anchor bolts and reinforced bars were made of BEAM element, and coefficient of friction was applied to contact surfaces. After that, the analytical result was compared with experiment of previous study to verify analysis methods. Steel-pier`s load-displacement relation was analyzed according to various rib`s design variables (rib`s central angle, height, thickness) by using proven analysis methods, and proper rib`s design ranges were proposed.
Lightweight Temporal Compression of Microclimate Datasets

Since the inception of sensor networks, in-network processing has been touted as the enabling technology for long-lived deployments. Radio communication is the overriding consumer of energy in such networks. Therefore, data reduction before transmission, either by compression or feature extraction, will directly and significantly increase network lifetime. In many cases, it is premature to begin implementing feature extraction techniques.Users do not yet understand in what forms interesting data will appear and consequently can’t risk automatically discarding what they presume to be uninteresting. Moreover, computer scientists are only beginning to develop algorithms to collect spatially distributed features in situ. Even for the many application where all of the data must be transported out of the network, data may be compressed before transport, so long as the chosen compression technique can operate under the stringent resource constraints of low-power nodes and induces only tolerable errors. This paper evaluates a simple temporal compression scheme designed specifically to be used bymicamotes for the compaction of microclimate data. The algorithm makes use of the observation that over a small enough window of time, samples of microclimate data are linear. It finds such windows and generates a series of line segments that accurately represent the data. It compresses data up to 20-to-1 while introducing error on the order of the sensor hardware’s specified margin of error. Furthermore it is simple, consumes little CPU and requires very little storage when compared to other compression techniques. This paper describes the technique and results using a dataset from a one-year microclimate deployment.
Development of the therapeutic alliance and its association with treatment outcome in internet-based Mindfulness-Based Cognitive Therapy (eMBCT) compared to group-based MBCT (MBCT) for distressed cancer patients (Preprint)

BACKGROUND Mindfulness-Based Cognitive Therapy (MBCT) is an evidence-based group-based psychological treatment in oncology, resulting in reduction of depressive and anxiety symptoms. Internet-based Mindfulness-based Cognitive Therapy (eMBCT) has been found to be an effective alternative for MBCT. The therapeutic alliance, i.e. the bond between therapist and patient, is known to have a significant impact on psychological treatment outcomes, including MBCT. A primary concern in the practice of eMBCT is whether a good therapeutic alliance can develop. Although evidence for the beneficial effect of therapist-assistance on treatment outcome in internet-based interventions (IBIs) is accumulating, it is still unclear whether the therapeutic alliance is related to outcome in IBIs. OBJECTIVE The objectives of the present study were: (1) to explore whether early therapeutic alliance predicts treatment dropout in (e)MBCT; (2) to compare the development of the therapeutic alliance during eMBCT and MBCT; and (3) to examine whether early therapeutic alliance is a predictor of the reduction of psychological distress and the increase of mental well-being at post-treatment in both conditions. METHODS The present study was part of a multicentre randomized controlled trial (RCT; n=245) on the effectiveness of (e)MBCT for distressed cancer patients. The therapeutic alliance was measured at the start of week 2 (i.e. early therapeutic alliance), week 5 and week 9. Outcome measures were psychological distress, measured with the Hospital Anxiety and Depression Scale (HADS) and mental-wellbeing, measured with the Mental Health Coninuum-short form (MHC-SF). RESULTS The strength of early therapeutic alliance did not predict treatment dropout in (e)MBCT (B=-0.39, p=.21). Therapeutic alliance increased over time in both conditions (F=16.46,Wilks’ λ=.732, p<.001). This increase did not differ between eMBCT and MBCT (F=0.114, p=.74). Therapeutic alliance at week 2 predicted a reduction of psychological distress (B=-.126, t=-2.656, p=.01) and an increase of in mental well-being (B=.234, t=2.651, p=.01) at post-treatment. The relationship with reduction of psychological distress differed between treatments: a weaker early therapeutic alliance predicted higher psychological distress at post-treatment in MBCT but not in eMBCT(B=.217, t=2.261, p=.03). CONCLUSIONS A therapeutic alliance can develop in both eMBCT and MBCT. Findings revealed that the strength of early alliance did not predict treatment dropout. Furthermore, the level of therapeutic alliance predicted reduced psychological distress and increased mental well-being at post-treatment in both conditions. Interestingly, the strength of therapeutic alliance is appeared to be more related to treatment outcome in group-based MBCT than in eMBCT. CLINICALTRIAL NCT02138513 https://clinicaltrials.gov/ct2/show/NCT02138513
Stateflow® Aided Modelling and Simulation of Friction in a Planar Piezoelectric Actuator

Research works have focused on friction over more than 500 years. It is indeed a complex phenomenon arising at the contact of the surfaces that is encountered in a wide variety of engineering disciplines including contact mechanics, system dynamics and controls, aerome‐ chanics, geomechanics, fracture and fatigue, structural dynamics, and many others [1]. Recently, the action of friction generated by a surface under the finger has been exploited in continuous structure tactile (sensorial touch) interfaces.
FIELD APPLICATION AND RESEARCH DEVELOPMENT OF THE ABBREVIATED INJURY SCALE

THE ABREVIATED INJURY SCALE (AIS); INTRODUCED IN JANUARY, 1968; HAS BEEN WIDELY USE BY THE MEDICAL ENGINEERING ACCIDENT INVESTIGATION TEAMS OF THE NHTSA, BY THE GENERAL MOTORS ADAP, BY THE NATO COUNTRY TEAMS IN EUROPE, AND BY THE AMA PHYSICIAN-POLICE TEAMS. THE EXPERIENCE AND PROBLEMS IN USE OF THE AIS ARE REVIEWED. AN EXTENDED AND REVISED AIS HAS BEEN DEVELOPED. VALIDATION STUDIES REVEALED BETTER THAN 80% ACCURACY BY MULTIPLE USERS. THE COMPREHENSIVE RESEARCH INJURY SCALE (CRIS) HAS BEEN COMPLETED FOR ALL MAJOR MEDICAL SPECIALTIES. THE CRIS SEPARATES THE VARIOUS CRITERIA (ENERGY DISSIPATION-ED, THREAT TO LIFE-TL, PERMANENT IMPAIRMENT-PI, TREATMENT PERIOD-TP, INCIDENCE-IN) USED WITH VARIABLE QUANTITIES AND FREQUENCIES IN THE AIS. THE CRIS IDENTIFIES AND QUANTITATES EACH SCALING CRITERIA PERMITTING MORE MEANINGFUL AND DETAILED APPLICATION OF THE AIS. /AUTHOR/
EIL‐SLAM: Depth‐enhanced edge‐based infrared‐LiDAR SLAM

Traditional simultaneous localization and mapping (SLAM) approaches that utilize visible cameras or light detection and rangings (LiDARs) frequently fail in dusty, low‐textured, or completely dark environments. To address this problem, this study proposes a novel approach by tightly coupling perception data from a thermal infrared camera and a LiDAR based on the advantages of the former. However, applying a thermal infrared camera directly to existing SLAM frameworks is difficult because of the sensor differences. Thus, a new infrared‐visual odometry method is developed by utilizing edge points as features to ensure the robustness of the state estimation. Furthermore, an edge‐based infrared‐LiDAR SLAM framework is developed to generate a dense depth map for recovering visual scale and to provide real‐time pose estimation at the same time throughout the day. An infrared‐visual and LiDAR‐integrated place recognition method is also introduced to achieve robust loop closure. Finally, several experiments are performed to illustrate the effectiveness of the proposed approach.
Racking Tests of High-Rise Building Partitions

The results of a program of racking tests of wall panels can be incorporated into the analysis of high-rise structures influenced by nonstructural partitions. Stiffness and energy-absorbing characteristics were obtained from racking tests of wall panels simulating lateral interstory displacements in high-rise buildings. These characteristics were combined with structural frame periods and damping to estimate overall building periods and damping. Illustrative examples are presented. The research program was part of the structural response research program being conducted for the U.S. Energy Research and Development Administration, Nevada Operations Office by URS/John A. Blume & Associates, Engineers.
Physics informed deep learning to super-resolve and cross-calibrate solar magnetograms

Super-resolution techniques aim to increase the resolution of images by adding detail. Compared to upsampling techniques reliant on interpolation, deep learning-based approaches learn features and their relationships across the training data set to leverage prior knowledge on what low resolution patterns look like in higher resolution images. As an added benefit, deep neural networks can learn the systematic properties of the target images (i.e.\ texture), combining super-resolution with instrument cross-calibration. While the successful use of super-resolution algorithms for natural images is rooted in creating perceptually convincing results, super-resolution applied to scientific data requires careful quantitative evaluation of performances. In this work, we demonstrate that deep learning can increase the resolution and calibrate space- and ground-based imagers belonging to different instrumental generations. In addition, we establish a set of measurements to benchmark the performance of scientific applications of deep learning-based super-resolution and calibration. We super-resolve and calibrate solar magnetic field images taken by the Michelson Doppler Imager (MDI; resolution ~2"/pixel; science-grade, space-based) and the Global Oscillation Network Group (GONG; resolution ~2.5"/pixel; space weather operations, ground-based) to the pixel resolution of images taken by the Helioseismic and Magnetic Imager (HMI; resolution ~0.5"/pixel; last generation, science-grade, space-based).
Development and validation of an instrument measuring the strength of the human resource management system

Notwithstanding the theoretical and empirical support for the human resource managementorganisational performance connection, authors still do not know how this association works. Bowen and Ostroff (2004) introduced the concept of the strength of the human resource system. In such systems, messages regarding what is appropriate behaviour are sent to employees in an unambiguous and consensual way. Human resource strength affects the way people interpret their environment (situation strength): strong human resource management leads to stronger situations, whereas weak human resource management leads to weaker situations. This research presents an instrument aimed at measuring the concept of strength; furthermore, it assesses Bowen and Ostroff’s (2004) model. Data was collected via questionnaires in six companies, from two distinct studies. Study 1 is based on 90 questionnaires from five companies; results from this study allowed us to improve the quality of the instrument developed, which in turn was used in a second study, carried out in a single company (88 valid questionnaires). Overall, results show good reliability estimates of the new instrument, as well as a partial confirmation of Bowen and Ostroff ’s (2004) model. Explanations for these mixed results are presented and discussed. These explanations may be related to the research design itself, but they may also be due to unsatisfactory or inadequate definition in some of the elements of Bowen and Ostroff’s model. Implications for future research are examined
Development of a User-Defined Stressor in the Improved Performance Research Integration Tool (IMPRINT) for Conducting Tasks in a Moving Vehicle

Abstract : Human performance modeling tools are used to predict the effect of human performance on the system. The U.S. Army Research Laboratory developed a human performance modeling tool, the Improved Performance Research Integration Tool (IMPRINT), which allows an analyst to investigate the effect of subjecting operators to environmental stressors on mission performance. The latest version of IMPRINT has the capability to create user-defined stressors to study the effect of stress on human performance and therefore system performance. This study used data that predict the effect on task time and performance based on task characteristics when Soldiers are riding in a moving vehicle to create a user-defined stressor in IMPRINT. A case study was completed on a simple model of command and control tasks. The user-defined stressor was applied to show the effect of completing these tasks on task time and accuracy after participants were in a moving vehicle for 0, 1, 2 3, 4, and 5 hours. The data from the study indicate that tasks are affected differently, but most data show an increase in tim complete and a decrease in the accuracy of the operator. This study shows the effect of operating in a moving vehicle. These data are useful not only to system design but also to the development of tactics and prorcedures.
Flight control synthesis on the basis of fuzzy phase limitations variation with an entry measure of affinity

In the given work the problem of robust control law forming for aircrafts on the basis of phase limitations variation method is considered. Generalization and development of the given approach on the basis of fuzzy phase borders use is offered. The given fuzziness of borders is set on the basis of entered scalar function (measure) of affinity. The given function defines an affinity degree between system trajectory and some given set in the state space. The affinity measure should satisfy to the obtained inequalities. The given inequalities should be resolvable concerning the synthesized control law. The obtained inequalities allow to take into account various limitations imposed on a system and make possible the real time solution. TABLE OF CONTENTS 1. ~RODUCTION. 1 2. TASK STATEMENT . 1 3. THE BASIC CONDITION OF FUZZY LIMITATIONS PROVIDING . 2 4. SYNTHESIS TASKSOLVING . 4 5. CONCLUSION . 5 REFERENCES. 5