Miracle-dz/UniFAR-FTUs huggingface dataset:
Responsible Leadership Systems : An Empirical Analysis of Integrating Corporate Responsibility into Leadership Systems

Based on literature in corporate responsibility and formal leadership systems Erik G. Hansen develops a conceptual "Responsible Leadership Systems Framework" structuring leadership instruments and tools into seven interconnected key areas. The framework is applied in qualitative multi-case studies in seven of the largest German stock corporations.Several global crises such as climate change, the global financial breakdown and corporate corruption scandals have diminished the legitimacy of business. One possible answer to this situation is the concept of corporate responsibility (CR), a voluntary approach aiming at the integration of economic with social, ethical and environmental goals. Erik G. Hansen addresses this gap. Rooted in literature on CR and formal leadership systems he develops a conceptual "Responsible Leadership Systems" framework structuring leadership instruments and tools into seven interconnected key areas. The framework is applied in qualitative multi-case studies in seven of the largest German stock corporations. The results show that leading companies increasingly make CR part of their strategies, structures, management instruments and tools.
An Empirical Analysis on the Dynamic Relationship between FII Trading Volume & Nifty Returns

This paper empirically examines the relationship between trading volume of FII flows and volatility of stock returns. The contemporaneous correlation and asymmetry between NIFTY returns and FII trading volume is studied through OLS. There is evidence for positive contemporaneous correlation between returns and volume. The relationship between conditional volatility and volume is investigated through GARCH model by introducing volume as an explanatory variable in the GARCH equation. The results indicate that GARCH effect is reduced only to a negligible level by the inclusion of trading volume of FIIs as an explanatory variable. This implies that FIIs influence towards persistence of volatility is very low and there may be other factors responsible for the same.
Cross-modal Suppression of Auditory Association Cortex by Visual Speech as a Mechanism for Audiovisual Speech Perception

Vision provides a perceptual head start for speech perception because most speech is “mouth-leading”: visual information from the talker’s mouth is available before auditory information from the voice. However, some speech is “voice-leading” (auditory before visual). Consistent with a model in which vision modulates subsequent auditory processing, there was a larger perceptual benefit of visual speech for mouth-leading vs. voice-leading words (28% vs. 4%). The neural substrates of this difference were examined by recording broadband high-frequency activity from electrodes implanted over auditory association cortex in the posterior superior temporal gyrus (pSTG) of epileptic patients. Responses were smaller for audiovisual vs. auditory-only mouth-leading words (34% difference) while there was little difference (5%) for voice-leading words. Evidence for cross-modal suppression of auditory cortex complements our previous work showing enhancement of visual cortex (Ozker et al., 2018b) and confirms that multisensory interactions are a powerful modulator of activity throughout the speech perception network. Impact Statement Human perception and brain responses differ between words in which mouth movements are visible before the voice is heard and words for which the reverse is true.
Polyphasic Approach to Bacterial Dynamics during the Ripening of Spanish Farmhouse Cheese, Using Culture-Dependent and -Independent Methods

ABSTRACT We studied the dynamics of the microbial population during ripening of Cueva de la Magahá cheese using a combination of classical and molecular techniques. Samples taken during ripening of this Spanish goat's milk cheese in which Lactococcus lactis and Streptococcus thermophilus were used as starter cultures were analyzed. All bacterial isolates were clustered by using randomly amplified polymorphic DNA (RAPD) and identified by 16S rRNA gene sequencing, species-specific PCR, and multiplex PCR. Our results indicate that the majority of the 225 strains isolated and enumerated on solid media during the ripening period were nonstarter lactic acid bacteria, and Lactobacillus paracasei was the most abundant species. Other Lactobacillus species, such as Lactobacillus plantarum and Lactobacillus parabuchneri, were also detected at the beginning and end of ripening, respectively. Non-lactic-acid bacteria, mainly Kocuria and Staphylococcus strains, were also detected at the end of the ripening period. Microbial community dynamics determined by temporal temperature gradient gel electrophoresis provided a more precise estimate of the distribution of bacteria and enabled us to detect Lactobacillus curvatus and the starter bacteria S. thermophilus and L. lactis, which were not isolated. Surprisingly, the bacterium most frequently found using culture-dependent analysis, L. paracasei, was scarcely detected by this molecular approach. Finally, we studied the composition of the lactobacilli and their evolution by using length heterogeneity PCR.
Identification of the intermolecular disulfide bonds of the human transferrin receptor and its lipid‐attachment site.

Structural studies of the human transferrin receptor have shown that the molecule is a disulfide‐bonded dimer consisting of two identical subunits (Mr = 95,000) which are post‐translationally modified by the addition of a fatty acyl moiety. Oligonucleotide site‐directed mutagenesis has been used to obtain mutant molecules in which each of the four cysteines, residues 62, 67, 89 and 98, clustered within or adjacent to the membrane‐spanning region were modified to serine. By first preparing mutants with only one of these cysteine residues modified to serine and then obtaining additional mutants in which different combinations of two cysteine residues were modified, we have shown that both cysteine 89 and cysteine 98, which are located in the extracellular domain of the receptor, are involved in intermolecular disulfide bonds. Further, we have identified cysteine 62 as the major site of acylation. Each of the mutant molecules is synthesized and transported to the cell surface when the modified human transferrin receptor cDNAs are transiently expressed in simian Cos cells. It should therefore now be possible to design experiments to determine whether these modified receptors bind transferrin normally and mediate iron uptake.
The relationship between neuropeptide Y expression and headache in pituitary tumours

Patients with pituitary tumours often present with disabling headache but there is no clear relationship between tumour size and headache. Neuropeptide Y (NPY) has been identified in pituitary tumours and may serve as a biochemical marker of the propensity for headache. Using immunohistochemical techniques we examined 27 consecutive pituitary adenoma specimens for NPY (including one normal postmortem control anterior pituitary specimen). A separate observer divided the patients into two groups: headache and non‐headache. The association between the presence of NPY and headache was tested. NPY positive immunoreactivity was seen in 13 tumour specimens (50%, 13 of 26 pituitary tumour specimens), characterized by cytoplasmic and nuclear staining patterns. There was no significant association between the presence of NPY and headache (χ2 = 0.9, P = 0.34). We did not observe NPY in the normal anterior pituitary control specimen. NPY was present in four of five (80%) growth hormone‐secreting tumours and two of two (100%) prolactinomas, compared with four of 11 (36%) non‐functioning adenomas. The mechanism of many pituitary tumour‐associated headaches remains undetermined. The significance of NPY positivity in pituitary tumours is unknown, although the results of this study may implicate this peptide in the control of somatotroph and lactotroph activity. Our data do not support a clear role for NPY pituitary tumour‐associated headache.
Evaluation of the InteraX™ System Technology in a High-Throughput Screening Environment

The authors have developed a cell-based high-throughput screening (HTS)-compatible assay tomeasure EGFRdimerization using the InteraX TMenzyme complementation technology of Applied Biosystems. The cells contain 2 chimeric proteins with complementing deletionmutants of the beta galactosidase enzyme, each fused to the extracellular and transmembrane part of EGFR. On binding of EGF, EGF receptor dimerizes and an active beta galactosidase is built. The authors used this homogeneous 384-well assay to screen about 20,000 diverse compounds. From 2 independent primary screen runs 239 hits were identified. For run 1, amean S/Bratio of 4.26 and ameanZβ factor of 0.74were obtained, for run 2 amean S/Bratio of 3.88 and amean Zβ factor of 0.71 were obtained. After hit confirmation, repeated 4 times, 112 hits remainedwith a confirmation rate of 48.9%. Thirty of the 112 could be identified as cytotoxic. Fifty-one of the remaining 82 compounds could be shown to be inhibitors of the beta galactosidase enzymeitself. In summary, 31 compounds remained as potential EGFRdimerization or EGF stimulation inhibitors. The authors conclude that the InteraX TMsystemtechnology is HTS capable and can detect smallmolecule inhibitors capable of inhibiting protein-protein interactions.
Déterminants de la productivité par employé: une évaluation empirique en données de panel

87 É tu de s Les déterminants de la productivité par employé sont étudiés ici en variation sur les années quatre-vingt-dix ainsi qu’en niveau dans une approche structurelle. L’estimation en variation porte sur un panel de vingt-cinq pays industrialisés et utilise la méthode des moments généralisés. L’estimation en niveau porte sur le PIB en parité de pouvoir d’achat par employé en 2000, à partir d’un échantillon de soixante-dix-sept pays. En outre, un sous-échantillon de quarante-neuf pays permet de rendre compte de l’impact des dépenses en technologies de l’information et de la communication (TIC) sur la productivité.
Three‐dimensional distribution of astrocytes in zebrafish spinal cord

We prepared a monoclonal antibody (A‐22) that recognizes a 60‐kDa protein in the zebrafish brain. The antigen is distributed throughout the brain but is not found outside it. The antibody recognizes star‐shaped cells with long processes in the spinal cord. All A‐22‐positive cells are also GFAP‐immunopositive, but there are GFAP‐positive cells that are A‐22‐negative. The cells are connected to small veins and to the surface of the spinal cord. Immunopositive cells are generally homogeneous in size and shape and are found not only in the spinal cord but also in several areas of the brain. These results indicate that the stained cell is an astrocyte. Most of these cells (88%) are distributed in the gray matter of the spinal cord; the remainder (12%) are found in the white matter. Most of the cells in the gray matter are found in the ventral and dorsal horns, but some are also present in the central area along the ventricle. Glial cell bodies form an array along the longitudinal axis and are connected to each other by thick projections. The cellular array is not visible in coronal sections. In contrast, thin processes from the cells extend to the surfaces of veins, to neurons, and to the periphery of the spinal cord. We estimate that there are about 13,500 A‐22‐positive astrocytes in the spinal cord; however, this represents only 26% of the total number of astrocytes in the spinal cord (∼52,000). GLIA 36:406–413, 2001. © 2001 Wiley‐Liss, Inc.
A Low noise CMOS image sensor with an emission filter for fluorescence applications

This paper presents a 128x128 low noise CMOS image sensor with emission filter for fluorescence detection. The imager, fabricated in 0.18 mum CMOS technology, provides low- noise operation by employing both the active reset (AR) technique and the active column sensor (ACS) readout method. The emission filter was fabricated using PDMS and Sudan II Blue dye mixed, spin-coated and deposited in the class 1000 clean room. The designed filter is suitable for excitation at wavelengths below 340 nm and emission at 450nm and above. Filter properties, such as thickness, transmission and efficiency of utilization with the fabricated imager are discussed. Preliminary measurements of the system using microbeads are also presented.
Glitch-induced within-die variations of dynamic energy in voltage-scaled nano-CMOS circuits

Variability strongly impacts performances of nanometer CMOS digital circuits. In this paper, we experimentally study the effects of variability on dynamic energy consumption of 65nm logic circuits, considering deep voltage scaling for low-power applications. While we confirm that variations in dynamic energy at 1V are small and dominated by die-to-die correlated capacitance fluctuations, we report for the first time that within-die uncorrelated delay variability magnifies dynamic energy variations at lower voltages by a factor 5×. Indeed, random glitches are generated by variability-induced unbalanced logic paths, which affect the activity factor of combinatorial circuits. The associated normalized dynamic power variations at 0.4V are comparable to die-to-die leakage power variations.
Roles of the Structural Symbiosis Polysaccharide (syp) Genes in Host Colonization, Biofilm Formation, and Polysaccharide Biosynthesis in Vibrio fischeri

ABSTRACT The symbiosis polysaccharide locus, syp, is required for Vibrio fischeri to form a symbiotic association with the squid Euprymna scolopes. It is also required for biofilm formation induced by the unlinked regulator RscS. The syp locus includes 18 genes that can be classified into four groups based on putative function: 4 genes encode putative regulators, 6 encode glycosyltransferases, 2 encode export proteins, and the remaining 6 encode proteins with other functions, including polysaccharide modification. To understand the roles of each of the 14 structural syp genes in colonization and biofilm formation, we generated nonpolar in-frame deletions of each gene. All of the deletion mutants exhibited defects in their ability to colonize juvenile squid, although the impact of the loss of SypB or SypI was modest. Consistent with their requirement for colonization, most of the structural genes were also required for RscS-induced biofilm formation. In particular, the production of wrinkled colonies, pellicles, and the matrix on the colony surface was eliminated or severely decreased in all mutants except for the sypB and sypI mutants; in contrast, only a subset of genes appeared to play a role in attachment to glass. Finally, immunoblotting data suggested that the structural Syp proteins are involved in polysaccharide production and/or export. These results provide important insights into the requirements for the syp genes under different environmental conditions and thus lay the groundwork for a more complete understanding of the matrix produced by V. fischeri to enhance cell-cell interactions and promote symbiotic colonization.
Percutaneous transhepatic gallbladder drainage followed by elective laparoscopic cholecystectomy in patients with moderate acute cholecystitis under antithrombotic therapy

Standard treatment for acute cholecystitis (AC) in patients receiving antithrombotic drugs has not been established. We evaluated the safety of percutaneous transhepatic gallbladder drainage (PTGBD) followed by elective laparoscopic cholecystectomy (LC) in patients with moderate AC who were receiving antithrombotics.
A Multimodal Corpus for the Assessment of Public Speaking Ability and Anxiety

The ability to efficiently speak in public is an essential asset for many professions and is used in everyday life. As such, tools enabling the improvement of public speaking performance and the assessment and mitigation of anxiety related to public speaking would be very useful. Multimodal interaction technologies, such as computer vision and embodied conversational agents, have recently been investigated for the training and assessment of interpersonal skills. Once central requirement for these technologies is multimodal corpora for training machine learning models. This paper addresses the need of these technologies by presenting and sharing a multimodal corpus of public speaking presentations. These presentations were collected in an experimental study investigating the potential of interactive virtual audiences for public speaking training. This corpus includes audio-visual data and automatically extracted features, measures of public speaking anxiety and personality, annotations of participants’ behaviors and expert ratings of behavioral aspects and overall performance of the presenters. We hope this corpus will help other research teams in developing tools for supporting public speaking training.
Comparison between procedures using SDS for shotgun proteomic analyses of complex samples

Filter‐aided sample preparation (FASP) and a new sample preparation method using a modified commercial SDS removal spin column are quantitatively compared in terms of their performance for shotgun proteomic experiments in three complex proteomic samples: a Saccharomyces cerevisiae lysate (insoluble fraction), a Caenorhabditis elegans lysate (soluble fraction), and a human embryonic kidney cell line (HEK293T). The characteristics and total number of peptides and proteins identified are compared between the two procedures. The SDS spin column procedure affords a conservative fourfold improvement in throughput, is more reproducible, less expensive (i.e. requires less materials), and identifies between 30 and 107% more peptides at q≤0.01, than the FASP procedure. The peptides identified by SDS spin column are more hydrophobic than species identified by the FASP procedure as indicated by the distribution of GRAVY scores. Ultimately, these improvements correlate to as great as a 50% increase in protein identifications with two or more peptides.
Random Linear Network Coding Based on Non-Orthogonal Multiple Access in Wireless Networks

To improve the packet success probability, random linear network coding (RLNC) based on non-orthogonal multiple access (NOMA) for multicast services was employed in wireless downlink networks where a source superposes multiple coded packets before transmitting these packets to multiplexing groups of receivers in a power domain. Using a successive interference cancellation (SIC) and a Gauss-Jordan elimination process, receivers can recover their original packets. We derive expressions for the total packet success probability for the case of NOMA (or OMA) with (or without) RLNC, and propose group based power allocation schemes in order to improve performance with a low overhead. Through the results of simulations, we verify our derivations and show that RLNC based on NOMA improves the packet success probability and decreases the packet delay.
Geometric Primitive Extraction From Point Clouds of Construction Sites Using VGS

We propose a workflow for extracting geometric primitives, including linear, planar, and cylindrical objects, from point clouds of the construction site, using a novel segmentation- and recognition-based strategy. The entire point cloud is first organized by an octree-based voxel structure. The proposed voxel- and graph-based segmentation is conducted by aggregating connected adjacent voxels in a fully connected local affinity graph, the weighted edges of which consider their saliencies simultaneously, including the spatial distance, the shape similarity, and the surface connectivity. After the segmentation, an improved efficient RANSAC algorithm is tailored to recognize and extract geometric primitives from segments. The synthetic, laser scanned, and photogrammetric point clouds are tested in our experiments, and qualitative and quantitative results reveal that our method can outperform the representative segmentation algorithms for our application having the precision and recall better than 0.77. It also shows a good performance with a correctness value better than 0.7 in primitive extraction.
Joint Admission Control and Resource Allocation in Edge Computing for Internet of Things

The IoT is a novel platform for making objects more intelligent by connecting to the Internet. However, mass connections, big data processing, and huge power consumption restrict the development of IoT. In order to address these challenges, this article proposes a novel ECIoT architecture. To further enhance the system performance, radio resource and computational resource management in ECIoT are also investigated. According to the characteristics of the ECIoT, we mainly focus on admission control, computational resource allocation, and power control. To improve the performance of ECIoT, cross-layer dynamic stochastic network optimization is studied to maximize the system utility, based on the Lyapunov stochastic optimization approach. Evaluation results are provided which demonstrate that the proposed resource allocation scheme can improve throughput, reduce end-to-end delay, and also achieve an average throughput and delay trade-off. Finally, the future research topics of resource management in ECIoT are discussed.
The B73 Maize Genome: Complexity, Diversity, and Dynamics

A-Maize-ing Maize is one of our oldest and most important crops, having been domesticated approximately 9000 years ago in central Mexico. Schnable et al. (p. 1112; see the cover) present the results of sequencing the B73 inbred maize line. The findings elucidate how maize became diploid after an ancestral doubling of its chromosomes and reveals transposable element movement and activity and recombination. Vielle-Calzada et al. (p. 1078) have sequenced the Palomero Toluqueño (Palomero) landrace, a highland popcorn from Mexico, which, when compared to the B73 line, reveals multiple loci impacted by domestication. Swanson-Wagner et al. (p. 1118) exploit possession of the genome to analyze expression differences occurring between lines. The identification of single nucleotide polymorphisms and copy number variations among lines was used by Gore et al. (p. 1115) to generate a Haplotype map of maize. While chromosomal diversity in maize is high, it is likely that recombination is the major force affecting the levels of heterozygosity in maize. The availability of the maize genome will help to guide future agricultural and biofuel applications (see the Perspective by Feuillet and Eversole). The sequence of the maize genome reveals it to be the most complex genome known to date. We report an improved draft nucleotide sequence of the 2.3-gigabase genome of maize, an important crop plant and model for biological research. Over 32,000 genes were predicted, of which 99.8% were placed on reference chromosomes. Nearly 85% of the genome is composed of hundreds of families of transposable elements, dispersed nonuniformly across the genome. These were responsible for the capture and amplification of numerous gene fragments and affect the composition, sizes, and positions of centromeres. We also report on the correlation of methylation-poor regions with Mu transposon insertions and recombination, and copy number variants with insertions and/or deletions, as well as how uneven gene losses between duplicated regions were involved in returning an ancient allotetraploid to a genetically diploid state. These analyses inform and set the stage for further investigations to improve our understanding of the domestication and agricultural improvements of maize.