Miracle-dz/UniFAR-FTUs huggingface dataset:
The Dynamics of Implementing and Managing Modularity of Organizational Routines During Capability Development: Insights From a Process Model

Past research using the resource-based view of a firm suggests that it is important to consider how firms develop, manage, and deploy resources and capabilities to influence the overall process of strategy formation and implementation. Relatively little research has been conducted in conceptualizing how firms implement and manage modularity of organizational routines during capability development. Yet, most companies would benefit from implementing modularity in organizational routines when competing in dynamic market conditions. Such implementations may require fundamental organizational reorientation that incurs significant coordination costs, and in some cases, such modularization attempts may fail, costing organizations significant amounts of valuable resources. This study seeks to conceptualize how modularity of organizational routines can be achieved during the capability development process. We inductively develop a process model of modularization, using qualitative data of an in-depth case study of the capability development experience of a call center. The model reveals that modularization is a complex process, whereby an organization's key functional activities are decomposed into specific operating and strategic routines that are reconfigured iteratively during the process of capability development. Practitioners may derive strategies and tactics from our findings to help them implement and manage the modularity of organizational routines during capability development so as to achieve sustainable competence in fast-moving marketplaces. Researchers should be able to use and develop the theory further with new case studies.
Saltational evolution of form in vascular plants . a treoC ' oldschmi dtian synthesis

Saltational evolution, a much abused term, is here narrowly defined as a genetic modification that is expressed as a profound phenotypic change across a single generation and results in a potentially independent evolutionary lineage (prospecies: 'hopeful monster' of Richard Goldschmidt). Dichotomous saltation is driven by mutation within a single ancestral lineage, and can result not only in instantaneous speciation but also in the simultaneous origin of a supraspecific taxon. Reticulate saltation is driven by allopolyploidy and thus incorporates genes of fwo ancestral lineages; it results in speciation only. Several exceptionally rapid but multigenerational evolutionary mechanisms are collectively termed parasaltational. Saltational evolutionary mechanisms probably generated many vascular plant species and most higher taxa. Hypotheses of saltation can be falsified using cladograms, which also provide an essential context for interpretations of evolutionary process as well as pattern here illustrated using studies of evolutionary developmental change in architectures of fossil lycopsids and living angiosperms. The neoGoldschmidtian synthesis advocated here accepts Goldschmidt's concept of speciation across a single generation but rejects his preferred causal mechanism of large-scale mutations and his requirement for competitively high levels of fitness in the monsters. Rather, we posnrlate that vast numbers of hopeful monsters are continuously generated by mutation of key homoeotic genes that control ontogeny via morphogens ('D-genes' of Wallace Arthur). The fitness of hopeful monsters is inevitably too low to survive competition-mediated selection their establishment requires temporary release from selection in unoccupied niches. The prospecies can then be honed to competitive fitness by gradual reintroduction to neodarwinian selection. 'u7hen viewed backward through geological time, niches become less well-defined and more often vacant, causing a corresponding increase in the probability of successful establishment of hopeful monsters. Hence, saltation was most important among the eadiest land plants, explaining the Siluro-Devonian origins of all classlevel taxa. Although D-genes are similar at the molecular level across the biotic kingdoms, their phenotypic expression differs between higher plants and higher animals; this reflects highly contrasting modes of growth, notably the Iocalization of plant growth in numerous meristems and consequent continuous, largely iterative development. More importantly, the sessile life-style of plants renders competition indirect and environmentally mediated; thus, vectorial selection is a far less profound cause of evolution in plants than in animals. Plants enjoy much greater latitude for nonlethal experimentation in form by saltation. Future advances in the study of evolutionary mechanisms will require cladograms that use phenotypically expressed genes as characters, rather than static morphology or cryptic base pairs, thereby allowing reciprocal illumination between phenotype and genotype. 90
Human Health Risk Assessment Associated with Arsenic ( As ) in Drinking Shallow Groundwater Wells at Ubon Ratchathani Province , Thailand

Nowadays there are several problems which are concerned about environment. One of the most important environmental issues today is groundwater contaminated with heavy metals especially arsenic (As) because of their severe toxicity even at low concentrations. Long time ago until nowadays in Thailand people who have lived in this agricultural area generally consume groundwater from their wells located in their farm because they don’t concern about negative effects from heavy metal contamination in groundwater. It is possible that arsenic contaminated in shallow groundwater may cause a potential health effect to consumers. This study aimed to assess the level of the human health risk from lead contaminated in shallow groundwater wells at Ubon Ratchathani province, Thailand. Twelve wells randomly selected for water sampling and Inductively Coupled Plasma Spectrometry-Mass Spectrometry (ICP-MS) used to find out the concentration of arsenic contaminated in shallow groundwater. In addition, questionnaires were completed by face-to-face interviewing with local people who consume shallow groundwater to find their intake rate and finally risk assessment. The results showed that only one well was acceptable level for non-carcinogen which had the Hazard Quotient value of arsenic were lower than one (HQ<1) while the others 11 wells were adverse concern with non-acceptable level which had the Hazard Quotient value of arsenic were higher than one (HQ>1). For carcinogenic effect, the acceptable risk was 10, this value means the probable possibility that about 1 cancer patients among 1,000,000 people happen. The result showed that all wells were acceptable level of cancer risk (cancer risk < 10) while only one well was carcinogenic concern (cancer risk > 10). Keywords-Arsenic; Groundwater; Risk assessment; Heavy metal contamination; Ubonratchathani;
Light visor treatment for jet lag after westward travel across six time zones.

INTRODUCTION The aim of this field study was to evaluate the efficacy of a light treatment for jet lag, using a head-mounted light visor, following a westward flight across six time zones. METHODS There were 20 subjects who were exposed to bright white light (3000 lux) or dim red light (10 lux) for 3 h on the first two evenings after a flight from Zurich to New York. Salivary dim light melatonin onset (DLMO), assessed 2 d before and 2 d after the flight, provided a measure of circadian phase. Sleep was recorded by actigraphy, while post-flight performance testing and subjective scales provided additional indices of jet lag severity. RESULTS The DLMO measurements showed a larger phase delay in the bright light than in the dim light group (2.59 h vs. 1.58 h, p < 0.02). There was no overall difference in sleep efficiency (SE) between the two groups, but a significant Group x Night interaction reflected a small increase across the first two post-flight nights in the bright light group, and a small decrease in the dim light group. Reaction time on one of two performance tests was consistently faster in the dim light group, but was unrelated to circadian phase or to prior sleep. There were no major group differences in subjective sleep quality, daytime sleepiness, jet lag severity, or mood. DISCUSSION This is the first full-scale study to show that bright light treatment can accelerate circadian reentrainment following transmeridian travel. However, the effect on reentrainment rate was modest, and was not accompanied by any improvement in sleep, performance, or subjective assessments of jet lag symptoms.
Food Safety Standards, Compliance and European Union’s Rejection of African Exports: The role of Domestic Factors

This paper investigates the causes of rejections of African exports at the EU border as a barrier in accessing EU markets. Our results indicate that natural geographical hurdle, poor trade-related infrastructure, inefficient border procedure and a lack of technical personnel increase the incidences of rejection at the EU border and add to Africa’s challenges in accessing EU markets. In addition, in line with the growing literature, this study finds empirical support for the proposition that institutions, infrastructure and logistic quality matter for increased market penetration and continuous integration into the global trading system. Thus, the barrier created by EU rejection of Africa’s exports can be addressed through the strengthening of African’s institutions and trade facilitation measures particularly her custom and border management including transit regimes.
Review: Generic MODRL

3 Proposal The present paper proposed a new MODRL framework on DQN coded in Python. It includes the use of linear and non-linear methods to develop the framework which is able to accommodate both single-policy and multi-policy strategies. And the resulting performance on the two previously proposed benchmarks, which are the Deep Sea Treasure and Mountain-Car problems, indicate the convergence to the optimal Pareto solutions effectively.
Rare variants in LRRK 1 and Parkinson ’ s disease

Eva C. Schulte, MD; Daniel C. Ellwanger, MSc; Sybille Dihanich, PhD; Claudia Manzoni, PhD; Katrin Stangl, MD; Barbara Schormair, PhD; Elisabeth Graf, MSc; Sebastian Eck, MSc; Brit Mollenhauer, MD; Dietrich Haubenberger, MD; Walter Pirker, MD; Alexander Zimprich, MD; Thomas Brücke, MD; Peter Lichtner, PhD; Annette Peters, PhD; Christian Gieger, PhD; Claudia Trenkwalder, MD; Hans-Werner Mewes, PhD; Thomas Meitinger, MD; Patrick A. Lewis, PhD; Hans H. Klünemann, MD; Juliane Winkelmann, MD
Criteria for HNF 1 B analysis in patients with congenital abnormalities of kidney and urinary tract

Background. Congenital anomalies of kidneys and urinary tract (CAKUT) are the most predominant developmental disorders comprising ∼20–30% of all anomalies identified in the prenatal period. Mutations in hepatocyte nuclear factor 1-beta (HNF-1β) involved in the development of kidneys, liver, pancreas and urogenital tract are currently the most frequent monogenetic cause of CAKUT found in 10–30% of patients depending on screening policy and study design. We aimed to validate criteria for analysis of HNF1B in a prospective cohort of paediatric and adult CAKUT patients. Methods. We included CAKUT patients diagnosed in our paediatric and adult nephrology departments from January 2010 until April 2013 based on predefined screening criteria. Subjects presenting with at least one major renal criterion or one minor renal criterion combined with one or more extrarenal criteria in the personal history or a familial history of renal or extra-renal manifestations were considered eligible. O R IG IN A L A R T IC L E © The Author 2014. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved. 835 D ow naded rom http/academ ic.p.com /ndt/article-at/30/5/835/2332852 by gest on 31 Jauary 2019 Results. We prospectively screened 205 patients and detected HNF1B mutations in 10% [n= 20, 12 children, median age 4.2 (range 0–13.1) years and 8 adults, median age 34.8 (range 16.6–62) years]. We observed that bilateral renal anomaly, renal cysts from unknown origin, a combination of two major renal anomalies and hypomagnesaemia were predictive for finding HNF1B mutations (P < 0.001; P < 0.001; P = 0.004; P = 0.008, respectively). Conclusions. We demonstrated that HNF1B mutations are responsible for ∼10% of CAKUT cases, both in children and in adults. Based on our results we propose adapted criteria for HNF1B analysis to reduce the screening costs without missing affected patients. These criteria should be reaffirmed in a larger validation cohort.
OBJECT TRACKING USING STATISTICAL MODELS OF APPEARANCE

This paper demonstrates that (near) real-time object tracking can be accomplished by the deformable template model; the Active Appearance Model (AAM) using only low-cost consumer electronics such as a PC and a web-camera. Successful object tracking of perspective, rotational and translational transformations was carried out using a training set of five images. The tracker was automatically initialised by a described multi-scale initialisation method and achieved a performance in the range of 7-10 frames per second.
ABCA 4 Gene Mutations in Japanese Patients with Stargardt Disease and Retinitis Pigmentosa

METHODS. Serum was obtained from 10 unrelated Japanese patients with STGD and 96 unrelated Japanese patients with autosomal recessive retinitis pigmentosa (arRP). All 50 ABCA4 gene exons of the patients with STGD were screened for mutations by a combination of single-strand conformation polymorphism analysis and polymerase chain reaction (PCR) directsequencing techniques. By restriction enzyme digestion, primer extension analysis, and PCR direct sequencing techniques, the patients with arRP were screened for three segregated, presumably null ABCA4 gene mutations observed in Japanese patients with STGD.
FEATURES FOR RECOGNITION

The state of the art rigid object recognition algorithms are based on the bag of words model, which represents each image in the database as a sparse vector of visual words. We propose a new algorithm to select informative features from images in the database. which can save the memory cost when the database is large and reduce the length of the inverted index so it can improve the recognition speed. Experiments show that only using the informative features selected by our algorithm has better recognition performance than the previous methods.
A 193-Amino Acid Fragment of the SARS Coronavirus S Protein Efficiently Binds Angiotensin-converting Enzyme 2*

The coronavirus spike (S) protein mediates infection of receptor-expressing host cells and is a critical target for antiviral neutralizing antibodies. Angiotensin-converting enzyme 2 (ACE2) is a functional receptor for the coronavirus (severe acute respiratory syndrome (SARS)-CoV) that causes SARS. Here we demonstrate that a 193-amino acid fragment of the S protein (residues 318–510) bound ACE2 more efficiently than did the full S1 domain (residues 12–672). Smaller S protein fragments, expressing residues 327–510 or 318–490, did not detectably bind ACE2. A point mutation at aspartic acid 454 abolished association of the full S1 domain and of the 193-residue fragment with ACE2. The 193-residue fragment blocked S protein-mediated infection with an IC50 of less than 10 nm, whereas the IC50 of the S1 domain was ∼50 nm. These data identify an independently folded receptor-binding domain of the SARS-CoV S protein.
Investigations into the Hypothesis of Transgenic Cannabis *

Abstract: The unusual concentration of cannabinoids recently found in marijuana samples submitted to the forensic laboratory for chemical analysis prompted an investigation into whether genetic modifications have been made to the DNA of Cannabis sativa L. to increase its potency. Traditional methods for the detection of genetically modified organisms (GMO) were used to analyze herbal cannabis preparations. Our analyses support the hypothesis that marijuana samples submitted to forensic laboratories and characterized by an abnormal level of Δ9‐THC are the product of breeding selection rather than of transgenic modifications. Further, this research has shown a risk of false positive results associated with the poor quality of the seized samples and probably due to the contamination by other transgenic vegetable products. On the other hand, based on these data, a conclusive distinction between the hypothesis of GMO plant contamination and the other of genetic modification of cannabis cannot be made requiring further studies on comparative chemical and genetic analyses to find out an explanation for the recently detected increased potency of cannabis.
Domain interaction patterns to coordinate HPF tasks q

This paper describes domain interaction patterns, a pattern-based, high level coordination language, which provides a new way of integrating task and data parallelism. Coordination patterns are used to express task parallelism among a collection of data parallel High Performance Fortran (HPF) tasks. Patterns specify the interaction among domains involved in the application along with the processor and data layouts. The use of domains, i.e. regions together with some interaction information, improves pattern reusability. Data distribution belonging to the different HPF tasks is known at the coordination level. This is the key for both computational code reutilization and an efficient implementation of the communication among tasks. Besides that, our system implementation requires no change to the runtime system support of the HPF compiler used. In addition, a set of different implementation templates is provided in order to ease the programmer task. The suitability, expressiveness and efficiency of the language are shown by means of some examples. 2003 Elsevier Science B.V. All rights reserved.
An Improved Framework For Image Multi-label Classification Using Gabor Feature Extraction

Image Multi-label Classification (IMC) assigns a label or a set of labels to an image. The big demand for image annotation and archiving in the web attracts the researchers to develop many algorithms for this application domain. The Multi-Instance Multi-Label Learning (MIML) is an important type of machine learning framework proposed recently for IMC. In this framework, an image is described with many regions or instances and can be assigned to multiple categories or labels. The MIML is a single label learning transformation. There are 2 ways to do this transformation: The first one transforms Multi-label to single label. This transformation is called Multi Instance Single-Label Learning (MISL) and applies Multi instance learner to have Single Instance Single-Label Learning (SISL). The second one transforms multi instance to single instance. This transformation is called Single-Instance Multi-Label Learning (SIML) and applies Multi-Label learner to have SISL. We are interested in this paper in the second transformation as a Multi-label problem. Two most important existing techniques are proposed for this transformation (MIML-BOOST and MIML-SVM). The drawbacks of these existing methods that they did not take into considerations: a) the description of the elementary characteristics from the image, b) the correlation between labels. In this paper, we propose a novel algorithm (MIML-GABORLPP), which simultaneously handles these limitations. The algorithm uses Gabor filter bank as feature descriptor to handle the first limitation. It applies the Label Priority Power-set as Multi-label transformation to solve the problem of label correlation. The experimental work shows that the results of MIML-GABORLPP are better in terms of four evaluation metrics (Hamming Loss (HL), One Error (OE), Ranking Loss (RL) and Average Precision (AP)) when compared to two other existing techniques.
Model-Based Active Impedance Controller Development of the Exoskeleton Rehabilitation Robot ( ERRobot ) For Lower-Extremity

This paper presents a hierarchy and hybrid control architecture for a wearable exoskeleton lower-limb rehabilitation robot. The highest level is to calculate muscletendon net moment around joint based on muscle-model and skeleton rigid mechanical system, do a lower-limb recovery assessment, and finally select a proper rehabilitation exercise (passive, active-assistive, active or resistive exercise). By using the information of exercise type, the middle-level controller make decision to implement which type of controller (impedance or torque controller) that creates the torque command to feed low-level controller. The low-level controller is the realization of torque controller for PMSM (Permanent Magnet Synchronous Motor). The paper focus on the design of active impedance control belonging to the middle-level control module. Active impedance control regulates the transfer of energy between the exoskeleton and the user, and its goal is to improve the dynamic response of the human limbs without sacrificing the user’s control authority. The performance of the controller is demonstrated through simulation. Keywordsactive impedance controller, mode-based controller development, sEMG, musculoskeletal model, hierarchical control frame, FOC, wearable exoskeleton lowerlimb rehabilitation robot,
A new two-stage stochastic model for reverse logistics network design under government subsidy and low-carbon emission requirement

Nowadays, increasing number of companies incorporates the reverse logistics decisions into their supply chain design in order to cope with the enforced international and national legislation and improve the resource efficiency and public image. This paper investigates a new stochastic optimization model for designing a single-period multi-product multi-level reverse logistics system under government subsidy and low-carbon emission requirement. In order to resolve the stochastic optimization problem, a modified multi-criteria scenario-based approach is proposed to maximize the profit generation while simultaneously improve the stability of the decision-making under uncertainty. The model and solution method are tested with several numerical experiments, and managerial insights are obtained with respect to the carbon emission requirement, governmental subsidy, economy of scale, and system flexibility.
Purification and characterization of two serine carboxypeptidases from Aspergillus niger and their use in C-terminal sequencing of proteins and peptide synthesis

A procedure was developed to prepare in large amounts two carboxypeptidases, CPD-I and CPD-II, from Aspergillus niger. They were each shown to be serine proteases and single-chain monomers with molecular masses of ca. 81 kDa and containing 22% carbohydrates. Amino acid analysis, carbohydrate determination, and N-terminal sequencing (20 to 25 residues) were performed on each enzyme. CPD-I showed sequence homologies with malt carboxypeptidase II, while the N terminus of CPD-II was different from that of any known serine carboxypeptidase. Like carboxypeptidase Y from Saccharomyces cerevisiae and carboxypeptidase III from malt, CPD-II contained a free sulfhydryl group that could play a role in catalysis. Both A. niger enzymes had pH optima of about 4 and were unstable above pH 7. Their specificities for substrate positions P1 and P'1 were characterized by use of, as substrates, a series of N-blocked amino acid esters and dipeptides. Both enzymes were specific for Arg, Lys, and Phe in P1. CPD-I preferred hydrophobic residues in P'1, while CPD-II was highly specific for Arg and Lys in this position. Each displayed an original specificity when P1 and P'1 were considered together. The specificities were also studied by analyzing the time course of the release of amino acids from eight different peptides of various lengths. CPD-I and CPD-II appeared to be quite suitable for C-terminal sequence studies as well as for the synthesis of peptide bonds. The latter was studied with two peptide esters as aminolysis substrates and a series of amino acid amides as nucleophiles. (ABSTRACT TRUNCATED AT 250 WORDS)