nils-herrmann/clean_scirepeval huggingface dataset:
NADPH from the oxidative pentose phosphate pathway drives the operation of cyclic electron flow around photosystem I in high intertidal macroalgae under severe salt stress.
Venue: Physiologia plantarum

Pyropia yezoensis (Bangiales, Rhodophyta) is a representative species of high intertidal macroalgae, whose blades can tolerate extreme stresses, such as salt stress and desiccation. In this study, the photosystem (PS) responses of P. yezoensis blades under salt stress were studied. Our results showed that when the effective photochemical quantum yield of PS (Y) II decreased to almost zero under high salt stress, YI still had a relatively high activity rate. PSII was therefore more sensitive to salt stress than PSI. Furthermore, in the presence of 3 (3' 4' dichlorophenyl) 1,1 dimethylurea (DCMU) YI rose as salinity increased. The YI values for DCMU treated thalli decreased in the presence of glucose 6 phosphate dehydrogenase (EC 1.1.1.49, G6PDH) inhibitor (glucosamine, Glucm) The YI values were ~0.09 in the presence of methyl viologen (MV) and almost zero in the presence of dibromothymoquinone (DBMIB) These results demonstrated that under severe salt stress (120%0 salinity) PSI activity was driven from a source other than PSII, and that stromal reductants probably supported the operation of PSI. Under salt stress, the starch content decreased and soluble sugar levels increased. The G6PDH and 6 phosphogluconate dehydrogenase (EC 1.1.1.44) activities increased, but cytosolic glyceraldehyde 3 phosphate dehydrogenase (EC 1.2.1.12) activity decreased. Furthermore, the NADPH content increased, but NADH decreased, which suggested that soluble sugar entered the oxidative pentose phosphate pathway (OPPP) All these results suggested that NADPH from OPPP increases the cyclic electron flow around PSI in high intertidal macroalgae under severe salt stress.
Human Resource Management and Market Orientation Strategies in Family and Non family Firms in Ghana: How Do They Relate to Competitive Strategy and Firm Performance?

This chapter examined the effects of human resource management (HRM) and market orientation strategies on competitive strategy and firm performance in family and non family firms. It also examined how these effects varied across family and non family firms in Ghana. Data for the study came from two different respondents within each of the 122 manufacturing firms sampled in Ghana. The results indicated that the market orientation strategy was positively related to both cost leadership and differentiation in both family and non family firms. However, the impact of market orientation strategy on competitive strategy was not different between family and non family firms. While HRM participation was significantly related to both cost leadership and differentiation strategies only for family firms, the impact was stronger in terms of the differentiation strategy only for family firms. Market orientation strategy was not directly related to performance for both family and non family firms. However, the HRM strategy of human resource (HR) participation was directly related to profitability only in family firms, and the impact was stronger for family firms than for non family firms.
ASSESSING THE HUMAN RESOURCE MANAGEMENT PRACTICES OF PUBLIC BANKS FROM EMPLOYEES' PERSPECTIVE: CASE STUDY OF SELECTED BRANCHES OF GHANA COMMERCIAL BANK, KUMASI

Human Resource Management (HMR) Practices and their impacts on employees' performance have received enormous cover in literature. This work took a look at five selected HRM practices and assessed their impact on employees' performance. The main objective of the study was to examine the impacts of these HRM practices on the performance of employees in four selected branches of Ghana Commercial Bank (GCB) The sample for the study was 80 employees from the selected branches of the bank. Data for the study was collected through the administration of structured questionnaire. Descriptive statistics such as charts, tables and regression analysis were used to analyze and present the data collected. The study established a very important relationship among HRM practices and employees' performance. The selected HRM practices which formed the independent variables are training development, motivation, performance appraisal, internal communication, and reward/remuneration while employees' performance stood as the dependent variable. It was found that, the independent variables together explained 98% of the variance in employees' performance. Internal communication came in as having the strongest relation with employees' performance in respect of all the independent variables. It contributes a high percentage of 41% to explain the variance in employee performance. Performance appraisal showed up taking the second slot in the rank of significance in terms of the individual contributions of the measurement dimensions. It accounted for 26.6% of the overall relationship among the selected HRM practices on employees' performance. Motivation came in third place of significance accounting for 22.9% of the overall variance in employees' performance considering the selected employees' performance measurement variables for the study. Training Development of employees took the fourth most significant slot among all the five (5) measurement dimensions employed in the research. It accounts for about 21% of the variance in the overall impact of the measurement dimensions on employees' performance and lastly 15.1% of the employees' performance is explainable by reward/ remuneration. Recommendations were then given in accordance with the research findings.
Development of coffee maker service robot using speech and face recognition systems using POMDP
Venue: International Workshop on Pattern Recognition

There are many development of intelligent service robot in order to interact with user naturally. This purpose can be done by embedding speech and face recognition ability on specific tasks to the robot. In this research, we would like to propose Intelligent Coffee Maker Robot which the speech recognition is based on Indonesian language and powered by statistical dialogue systems. This kind of robot can be used in the office, supermarket or restaurant. In our scenario, robot will recognize user's face and then accept commands from the user to do an action, specifically in making a coffee. Based on our previous work, the accuracy for speech recognition is about 86% and face recognition is about 93% in laboratory experiments. The main problem in here is to know the intention of user about how sweetness of the coffee. The intelligent coffee maker robot should conclude the user intention through conversation under unreliable automatic speech in noisy environment. In this paper, this spoken dialog problem is treated as a partially observable Markov decision process (POMDP) We describe how this formulation establish a promising framework by empirical results. The dialog simulations are presented which demonstrate significant quantitative outcome.
Can Coffee Improve Surgical Robot Accuracy

Transnasal skull base and sinus surgery is often assisted via image guidance systems (e.g. the Brainlab Kolibri  Fig. 1) which show the real time locations of surgical instruments with respect to the 3D map provided by preoperative volumetric medical images. Image guidance systems often employ optical tracking to measure in real time the locations of both surgical instruments and the patient's head. The accuracy of these systems relies on the rigid coupling between optical tracking markers and the patient. However, the markers are often attached to the patient using an elastic headband that can shift if bumped during use  In this paper, we propose the use of both layer jamming and granular jamming to improve the accuracy of image guided robotic transnasal sinus and skull base surgery. Granular jamming involves drawing a vacuum on a bag filled with granules (e.g. coffee grounds)  Layer jamming involves drawing a vacuum on a bag filled with thin layers of material, to increase the normal force between them and thus prevent them from sliding over one another  We use these technologies to securely and non invasively attach optical tracking markers to the patient, which enables accurate registration of preoperative medical images to guide surgical robotic systems, or even manually operated instruments. The prototype described in this paper extends our prior work in which granular jamming alone was used with a plastic frame  Here, we use layer jamming in conjunction with granular jamming to create a headband that conforms to the patient's head, becoming rigid when a vacuum is drawn. An example of where this would be useful is in robotassisted drilling. Drilling is often required as a first step in transnasal skull base and sinus surgeries to access the surgical site. It has been previously shown that collaborative human robot systems (in which both the surgeon and the robot hold the drill simultaneously) can assist the surgeon [5] by enforcing virtual fixtures (see  for a review) around sensitive anatomy. Another example where registered images and virtual boundaries can be useful is in pituitary surgery, where they have been proposed as a means to prevent damage to the optic nerves and carotid arteries in manual [7] and robotic [8] surgical approaches.
Modulation of the E. coli rpoH Temperature Sensor with Triptycene Based Small Molecules.
Venue: Angewandte Chemie

Regulation of the heat shock response (HSR) is essential in all living systems. In E. coli, the HSR is regulated by an alternative s factor, s(32) which is encoded by the rpoH gene. The mRNA of rpoH adopts a complex secondary structure that is critical for the proper translation of the s(32) protein. At low temperatures, the rpoH gene transcript forms a highly structured mRNA containing several three way junctions, including a rare perfectly paired three way junction (3WJ) This complex secondary structure serves as a primitive but highly effective strategy for the thermal control of gene expression. In this work, the first small molecule modulators of the E. coli s(32) mRNA temperature sensor are reported.
Muscle specific microRNAs in skeletal muscle development.
Venue: Developmental biology

Proper muscle function constitutes a precondition for good heath and an active lifestyle during an individual's lifespan and any deviations from normal skeletal muscle development and its functions may lead to numerous health conditions including e.g. myopathies and increased mortality. It is thus not surprising that there is an increasing need for understanding skeletal muscle developmental processes and the associated molecular pathways, especially as such information could find further uses in therapy. The understanding of complex skeletal muscle developmental networks was broadened with the discovery of microRNA (miRNA) molecules. MicroRNAs are evolutionary conserved small non coding RNAs capable of negatively regulating gene expression on a post transcriptional level by means of miRNA mRNA interaction. Several miRNAs expressed exclusively in muscle have been labeled myomiRs. MyomiRs represent an integral part of skeletal muscle development, i.e. playing a significant role during skeletal muscle proliferation, differentiation and regeneration. The purpose of this review is to provide a summary of current knowledge regarding the involvement of myomiRs in the individual phases of myogenesis and other aspects of skeletal muscle biology, along with an up to date list of myomiR target genes and their functions in skeletal muscle and miRNA related therapeutic approaches and future prospects.
Exercise Promotes Healthy Aging of Skeletal Muscle.
Venue: Cell metabolism

Primary aging is the progressive and inevitable process of bodily deterioration during adulthood. In skeletal muscle, primary aging causes defective mitochondrial energetics and reduced muscle mass. Secondary aging refers to additional deleterious structural and functional age related changes caused by diseases and lifestyle factors. Secondary aging can exacerbate deficits in mitochondrial function and muscle mass, concomitant with the development of skeletal muscle insulin resistance. Exercise opposes deleterious effects of secondary aging by preventing the decline in mitochondrial respiration, mitigating aging related loss of muscle mass and enhancing insulin sensitivity. This review focuses on mechanisms by which exercise promotes "healthy aging" by inducing modifications in skeletal muscle.
Dietary diversity and related factors among lactating women visiting public health facilities in Aksum town, Tigray, Northern Ethiopia
Venue: BMC Nutrition

BackgroundDietary diversity is a proxy indicator of maternal nutrient adequacy. However, little is documented on dietary diversity among lactating mothers. Therefore, this study assessed diet diversity and associated factors among lactating mothers visiting public health facilities in Aksum town, Tigray, Northern Ethiopia.MethodsAn institution based cross sectional study was conducted on 346 randomly selected lactating women visiting public health facilities of Aksum town in June 2015. Dietary diversity was assessed using 24 h dietary recall method. A mean dietary diversity score (DDS) was computed of nine food groups. Food insecurity access was measured using 9 items Household Food Insecurity Access Scale (HFIAS) Data were entered and analyzed using SPSS version 20.ResultsMore than a quarter (27.2 of the lactating mothers was from food insecure households. The mean DDS was 3.4 and a total of 56.4 lactating mothers had low dietary diversity (less than mean DDS) Average monthly income, home gardening and source of drinking water were associated with low dietary diversity. Lactating mothers who had monthly income of less than 501 ETB [AOR 2.3, 95 CI (1.2, 4.6) and 501 to 1500 ETB [AOR 3.0, 95 CI (1.4, 6.3) were more likely to have low dietary diversity than those who had monthly income above 1500 ETB. And those who did not practice home gardening were more likely to have low dietary diversity than their counterparts [AOR 2.1, 95 CI (1.01, 4.2) Regarding source of drinking water, mothers who reported protected well as a main source were more likely to have low dietary diversity compared to those who reported tap water as main source [AOR 4.5, 95 CI (1.1, 18.2).ConclusionsDietary diversity among lactating mothers was low. Factors like monthly income less than 501 ETB and 501 to 1500 ETB, not having home gardening, and source of drinking water from protected well were significantly associated with low dietary diversity. Attention should be paid to dietary diversity of lactating mothers to improve their nutritional status, and that of their children and their family.
Framework of Cyber Attack Attribution Based on Threat Intelligence

With the rapid growth of information technology, more and more devices are connected to the network. Cyber security environment has become increasingly complicated. In the face of advanced threats, such as targeted attack and advanced persistent threat, traditional security measures of accumulating security devices to protect relevant systems and networks had been proved to be an unqualified failure. Aiming at this situation, this paper proposed a framework of cyber attack attribution based on threat intelligence. At first, after surveying and analyzing related academic research and industry solutions, this paper used the local advantage model to analysis the process of cyber attack. According to the definitions of seven steps in intrusion kill chains and six phases of F2T2EA model, this model proposed a method of collecting threat intelligence data and detecting and response to cyber attacks, so as to achieve the goals of early warming, processing detection and response and posting attribution analysis, and finally to reverse the security situation. Then, this paper designed a framework of cyber attack attribution based on threat intelligence. The framework is composed by Start of analysis, Threat intelligence and Attribution analysis. The three main parts indicated the architecture of cyber attack attribution. Finally, we tested the framework by practical case. The case study shows that the proposed framework can provide some help in attribution analysis.
Framework of Cyber Attack Attribution Based on Threat Intelligence
Venue: InterIoT/SaSeIoT

With the rapid growth of information technology, more and more devices are connected to the network. Cyber security environment has become increasingly complicated. In the face of advanced threats, such as targeted attack and advanced persistent threat, traditional security measures of accumulating security devices to protect relevant systems and networks had been proved to be an unqualified failure. Aiming at this situation, this paper proposed a framework of cyber attack attribution based on threat intelligence. At first, after surveying and analyzing related academic research and industry solutions, this paper used the local advantage model to analysis the process of cyber attack. According to the definitions of seven steps in intrusion kill chains and six phases of F2T2EA model, this model proposed a method of collecting threat intelligence data and detecting and response to cyber attacks, so as to achieve the goals of early warming, processing detection and response and posting attribution analysis, and finally to reverse the security situation. Then, this paper designed a framework of cyber attack attribution based on threat intelligence. The framework is composed by Start of analysis, Threat intelligence and Attribution analysis. The three main parts indicated the architecture of cyber attack attribution. Finally, we tested the framework by practical case. The case study shows that the proposed framework can provide some help in attribution analysis.
PinterNet: A thematic label curation tool for large image datasets
Venue: 2016 IEEE International Conference on Big Data (Big Data)

Recent progress in big data and computer vision with deep learning models has gained a lot of attention. Deep learning has been performed on tasks such as image classification, object detection, image segmentation, image captioning, visual question and answering, using large collections of annotated images. This calls for more curated large image datasets with clearer descriptions, cleaner contents, and diversified usability. However, the curation and labeling of such datasets can be labor intensive. In this paper, we present PinterNet, an algorithm for automatic curation and label generation from noisy textual descriptions, and also publish a big image dataset containing over 110K images automatically labeled with their themes. Our dataset is hierarchical in nature, it has high level category information which we refer as verticals with fine grained thematic labels at lower level. This advocates a new type of hierarchical theme classification problem closer to human cognition and of business value. We provide benchmark performances using deep learning models based on AlexNet architecture with different pre training schemes for this novel task and new data.
Travailler apres un cancer bilan 6 ans apres la reprise. Analyse d'une cohorte de 153 salaries

Si plusieurs etudes analysent la situation de retour a l'emploi deux ans apres un cancer, peu se sont penchees sur le devenir a long terme de ces salaries au sein de l'entreprise. Nous avons etudie le devenir six ans apres leur retour au travail de 153 salaries ayant eu un cancer en 2005 ou 2006. Ces salaries avaient tous participe a une premiere etude realisee en 2008, portant sur 402 salaries, dont 319 avaient repris le travail deux ans apres le diagnostic. Notre objectif etait d'estimer le taux de salaries encore presents dans l'entreprise, et d'evaluer l'evolution des difficultes notees lors de la premiere etude. Materiel et methodes Cette etude, realisee en 2014 avec 40 medecins du travail analyse le devenir de 153 salaries sur les 319 qui constituaient notre echantillon en 2008. La partie quantitative de l'etude associait un questionnaire rempli par le medecin du travail et un auto questionnaire adresse aux salaries. La partie qualitative a porte sur la realisation d'entretiens semi structures 24 entretiens de salaries et neuf entretiens de medecins du travail. Les taux de maintien dans l'entreprise ont ete estimes par la methode de Kaplan Meier et compares a l'aide du log rank test. Resultats Sur les 153 salaries, 46 etaient encore dans l'entreprise six ans apres leur retour au travail. Pour l'ensemble des tranches d'age inferieures a 55 ans (113 salaries sur les 153) on note un taux de depart de l'entreprise de l'ordre de 20 a six ans, soit environ 4 par an. Pour les 83 salaries qui etaient encore dans la meme entreprise six ans apres leur reprise, les sequelles de la maladie ou des traitements sont encore presentes fatigabilite 57 troubles du sommeil 56 (versus 34 en 2008) troubles de la memoire et de la concentration 34 douleurs chroniques 16 Des troubles anxieux sont signales par 31 des salaries contre 29 en 2008. Ces difficultes persistent pour 71 de ces salaries. Un sentiment de penalisation est eprouve par 40 des salaries non cadres. Selon l'etude qualitative, la reussite de la reinsertion s'appuie sur l'association de trois composantes un environnement bienveillant, voire solidaire un soutien et des moyens mis a disposition par l'entreprise un accompagnement dans la duree.  Six ans apres la reprise, un salarie sur deux travaille encore au sein de la meme entreprise. Loin d'avoir disparues, les difficultes constatees deux ans apres le diagnostic de cancer persistent a distance des traitements. Alors que l'on estime la prevalence de patients travaillant apres un cancer a plus de 300 000 personnes dans notre pays, cette enquete devrait contribuer a l'evaluation du fardeau economique de la maladie cancereuse.
Modeling and Vector Control of Marine Current Energy Conversion System Based on Doubly Salient Permanent Magnet Generator
Venue: IEEE Transactions on Sustainable Energy

This paper provides a model and a control of a marine current energy conversion system. The modeled marine current energy conversion system is a 10 kW generating system with a low speed doubly salient permanent magnet generator of 50rpm. First, the resource, the turbine, and a dynamic analytical model of the generator are developed. Second, due to variations of marine current speed, which may lead to strong fluctuations in the power extracted by the marine current turbine, control strategies for the marine current energy conversion system at both low and high marine current speeds are analyzed, assessed, and compared. Finally, simulations of the proposed system are carried out, modeled, and simulated on MATLAB/Simulink software.