Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPARISON OF MODEL VS . REALITY FOR

The Versatile Electron Linear Accelerator (VELA) is a facility designed to provide a high quality electron beam for accelerator systems development, as well as industrial and scientific applications. Currently, the RF gun can deliver short bunches, of the order of 100 fs to a few ps, with a charge of up to 250 pC, at the longer bunch lengths, and up to 4.5 MeV/c beam momentum. A model for the injector has been developed in ASTRA, together with a suite of scripts to create scans of the available parameters around an empirically found arbitrarily optimal working point. The space of parameters consists of everything that can be changed in the control room, and ranges from bunch charge to laser spot size on the cathode, together with all magnet settings where and if necessary. The various scans facilitate the task of identifying where exactly the accelerator is in terms of parameters and trends. Initial comparisons of screen images are made between the model and reality. Ultimately, the goal of the model is to robustly and repeatably establish a desired operating setup on a daily basis from an unknown switch on condition. MACHINE CONDITIONS & DATA
Clustering census data : comparing the performance of self-organising maps and k-means algorithms

Clustering techniques are frequently used to analyze census data and obtain meaningful large scale groups. One of the most used techniques is the widely known k-means clustering algorithm. In recent years, Kohonen’s selforganizing Maps have been successfully used to perform similar tasks. Nevertheless, evaluation studies comparing these two approaches are rare and usually inconclusive. In this paper an experimental approach to this problem is adopted. Through the use of synthetic data a particular environment is set up, and these two approaches are compared. Additional, tests are performed using real-world data based on the small area Portuguese census data. The tests focus on two main issues. The first concerns the quality of the K-means algorithm as an intra-cluster variance minimization tool, when compared with SelfOrganizing Maps. The second issue deals with the structural impact that suboptimal solutions, found using k-means, can have in the resulting clustering. The results of the empirical experiments suggest that Self-Organizing Maps (SOM) are more robust to outliers than the k-means method.
Expression of Glucocorticoid receptor ( NR 3 C 1 ) gene in 3 different breeds of Thai chickens

The objective of the study was to identify the expression level of a gene related to stress codifying for glucocorticoid receptor (NR3C1) in three different breeds; Chee KKU12, Khai Mook Esarn KKU50, and native-crossing commercial (Tanaosree) chickens under the same regime of management. The blood samples were collected at week 4, 8 and 12 from the three breeds by replicating 10 chickens per breed for RNA extraction. To measure the expression level of targeted gene, one-step quantitative real-time PCR (qRT-PCR) was used. The results demonstrated that the level expression of NR3C1 in 3 breeds are significantly different (P<0.01) and this was also significantly different in age of blood sampling at week 4, 8 and 12 (P<0.01). At the 12th week, it showed the highest expression level of NR3C1 gene and was quite different amongst the breed types when Tanaosree chicken showed the highest expression from week 8 and peaked at week12. However, there was no interaction between the age of blood sampling and breed types (P>0.05). The current study demonstrates that the breeding improvement by producing synthetic breed and the native-crossing commercial breed has an effect on the selection response to NR3C1 gene and these 2 breed lines has a lower resistant ability to handle stress than Chee KKU12 which is 100% Thai native Chicken.
MODULATION EFFECT OF INOCULATED RAOULTELLA PLANTICOLA ON GLYCINEBETAINE METABOLISM IN TWO MAIZE ( ZEA MAYS L . ) CULTIVARS DIFFERING IN DROUGHT TOLERANCE

A comprehensive investigation was carried out to evaluate the changes in seed germination and glycine betaine (GB) synthesis in drought stressed maize (Zea mays L.) in response to Raoultella planticola treatment. Two maize cultivars were used in our experiment, Zheng Dan 958 (drought tolerant) and Jun Dan 20 (drought sensitive). Under drought stress, seed germination of both cultivars was drastically inhibited. However, germination rate increased, and germination period was shortened with with R. planticola Radicle length and plumules were improved, while no significant effects on hypocotyl length. Maize seedlings inoculated with R. planticola increased the level of biosynthetic pathways of glycine betaine (GB) and choline (Cho). The activities of some key enzymes involved in GB synthesis, such as phosphoethanolamine Nmethyltransferase (PEAMT), choline monooxygenase (CMO) and betaine aldehyde dehydrogenase (BADH), were enhanced resulting in net increase in GB content. R. planticola treatment showed a marked expression of CMO, BADH and PEAMT. In conclusion, R. planticola inoculation reduced the negative effects of drought stress by regulating GB synthesis in the seedlings of both maize cultivars under drought stress. Key word: Drought tolerance, Glycine betaine, Plant-microbe interactions, Zea mays L. , Rhizobacteria, Seed development.
BranchNet : Using Offline Deep Learning To Predict Hard-To-Predict Branches

Conventional wisdom says that high-performance branch predictors only work if they can adapt to the runtime behavior of programs. In this paper, we show that this is not always true. The relationships between many branches are defined by program semantics and are invariant of program phase behavior. By taking advantage of large training datasets across input sets, one can train a branch predictor to learn these invariant branch relationships. As a first step towards high-performance branch predictors with offline training, we propose BranchNet, a convolutional neural network that can accurately predict many branches that are currently hard to predict for TAGE-SC-L, the best branch predictor today. At run time, we use a hybrid approach by combining TAGE-SC-L and BranchNet. We use BranchNet to predict a few hard-to-predict branches and TAGE-SC-L to predict the rest. Our hybrid approach, without area constraints, reduces the average branch mispredictions per kilo instructions (MPKI) of SPEC2017 Integer benchmarks by 6.2% (and up to 11.2% on the most improved benchmark) when compared to an unlimited MTAGE-SC baseline predictor. We also show that a latency and area constrained version of BranchNet reduces the average MPKI by 2.4% (up to 6.3%) compared to an isostorage TAGE-SC-L baseline.
New Exact Solutions for Generalized (3+1) Shallow Water-Like (SWL) Equation

Abstract In this study, we use the improved Bernoulli sub-equation function method for exact solutions to the generalized (3+1) shallow water-like (SWL) equation. Some new solutions are successfully constructed. We carried out all the computations and the graphics plot in this paper by Wolfram Mathematica.
Registrierung von multimodalen Sensordaten für die Oberflächeninspektion / Registration of multimodal sensor data for surface inspection

Zusammenfassung Da vermehrt mehrere Sensorsysteme oder auch Multisensor-Systeme zur Charakterisierung von Oberflächen eingesetzt werden, kann durch eine geeignete Kombination der erhaltenen Ergebnisse ein holistisches Ergebnis erzielt werden. Die Grundlage dafür bildet eine passende Registrierung der unterschiedlichen Messungen der Oberflächentopografie. Dieser Beitrag beschreibt ein mögliches Verfahren für die Registrierung von multimodalen Sensordaten. Dabei wird für diesen Anwendungsfall zuerst eine Konturenextraktion zur Merkmalsgewinnung für eine grobe Registrierung eingesetzt, welche mit einem flächenbasierten Verfahren auf Basis der Transinformation zur feinen Registrierung ergänzt wird. Die Kombination kann die Zuverlässigkeit der Registrierung erhöhen, da die einzelnen Verfahren für sich alleine in manchen Fällen keine aussagekräftigen Ergebnisse liefern.
lesions in preschool children Impact of caries onset on number and distribution of new

Background. Caries in preschool children remains an important public health issue. Aim. To determine (i) which teeth and tooth surfaces are most susceptible to dental caries by age 3, (ii) where do caries lesions develop during 2year follow-up, and (iii) to evaluate the impact of caries onset on the distribution of new caries experience. Design. One thousand and fifty seven consecutively born children were recruited in Flanders (Belgium). Parents completed validated questionnaires on oral health-related behaviour and trained dentists examined the children at ages 3 and 5.
Pinch Methods for Efficient Use of Water in Food Industry: A Survey Review

The implementation of sustainable water management practices, through the recycling and reuse of water, is essential in terms of minimizing production costs and the environmental impact of the food industry. This problem goes beyond the classical audit and housekeeping practices through developing a systemic water-using reduction strategy. The implementation of such an approach needs R&D development, especially for the food industry, where there is a lack of knowledge on: (a) process integration and (b) data on the pollutant indicators or (c) volumes of water used and discharged at specific steps of the food processing line. Since energy pinch analysis emerged, different variations of pinch methods have been developed. As a variation of pinch, Water pinch analysis is a global and systematic approach to minimize water consumption and discharges, especially for the most energy-intensive and water-consuming factories. Based on the nature of the food industry, the real systems are complex, multi-source multi-contaminant systems, the problem should be well formulated, including mathematical constraints (inequalities thresholds). Current work has reviewed comprehensive literature about different variations of pinch analysis. In continue, water pinch method deeply discussed and some relevant data concerning the water using process and pollutant indicators have been reviewed with emphasis on the food industry sector.
Effect of Heat Stress on Heat Shock Protein 30 ( Hsp 30 ) mRNA Expression in Rainbow Trout ( Oncorhynchus mykiss )

Rainbow trout (Oncorhynchus mykiss) is a cold-water species, and often affected by high temperatures. To understand hsp30 mRNA expression trend and molecular mechanism responding to high temperature stress, real-time qPCR was used to quantify hsp30 mRNA expression level in different tissues (heart, liver, gill, brain, spleen and head kidney) in control (18°C) and heat-stressed (25°C for 2, 4, 8 and 12 h) groups. Results showed that hsp30 mRNA in all tissues had already synthesized at 18°C. hsp30 mRNA expression in all tissues was significantly up-regulated and reached the peak after heat stress at 25°C for 2-4 h (P<0.05), then significantly down-regulated at 8 h (P<0.05), and finally returned to control level at 12 h and HSR (P>0.05). The highest hsp30 mRNA expression levels were recorded in heart and liver after 2-4 h. However, the most significant changes of hsp30 mRNA after 2-4 h were observed in gill by 15668.243and 11452.125-fold compared with 18°C. These results indicated that hsp30 mRNA expression in rainbow trout was induced by heat stress and responded in a timeand tissue-specific manner. Hsp30 can provide some protection in heat stress, but it is only within a certain range.
eview he effect of river restoration on fish , macroinvertebrates and aquatic acrophytes : A meta-analysis

An increasing number of rivers have been restored over the past decades and several studies investigated the effect on biota. The published monitoring results have already been summarized in narrative reviews but there are few quantitative reviews and a comprehensive meta-analysis on different organism groups and factors influencing restoration effect is missing. We compiled monitoring results and information on catchment, river and project characteristics from peer-reviewed literature and unpublished databases to (i) quantify the effect of restoration measures on fish, macroinvertebrates and macrophytes, and (ii) identify predictors which influence restoration effect. Results indicated significant effects of restoration on all three organism groups, especially of widening projects on macrophyte richness/diversity, instream measures on fish and macroinvertebrates, and higher effects on abundance/biomass compared to richness/diversity. Restoration effect was most strongly affected by agricultural land use, river width and project age. Effects were smaller but restoration generally still increased richness/diversity and abundance/biomass in agricultural catchments. Since land use is a proxy for different pressures, the underlying causal relationships have to be investigated in more detail. Project age was the most important factor but had non-linear and even negative effects on restoration outcome, indicating that restoration effects may vanish over time. The meta-analysis indicated that river managers in general can expect an increase of richness/diversity and abundance/biomass of all three organism groups investigated, especially of macrophytes in widening projects and of fish and macroinvertebrates if instream measures are applied. However, variability was high, stressing the need for adaptive management approaches. Furthermore, the large but non-linear and different (even negative) effects of project age stressed the need for long-time monitoring to better understand the trajectories of change caused by restoration measures and to identify sustainable measures. The meta-analysis was restricted to metrics commonly reported in literature and future studies would greatly benefit from authorities and scientists reporting original monitoring data, which would allow to use functional metrics to investigate the effect of restoration measures and to infer causal relationships. © 2015 Published by Elsevier Ltd.
Evidence for pattern separation in the DG and CA 3

The ability to discriminate among similar experiences is a critical feature of episodic memory. This ability has long been hypothesized to require the hippocampus, with computational models suggesting it is dependent on pattern separation. However, empirical data for the hippocampus’ role in pattern separation was not available until recently. This review summarizes data from electrophysiological recordings, lesion studies, immediate early gene imaging, transgenic mouse models, as well as human functional neuroimaging that provide convergent evidence for the involvement of particular hippocampal subfields in this key process. We discuss the impact of aging and adult neurogenesis on pattern separation, as well as highlight several challenges to linking across species and approaches and suggest future directions for investigation.
Design and Evaluation of Typical Antennas for Monitoring Vital Signs

─ Non-contact method to monitor vital signs using radar-based sensor system is a more convenient way in comparison with the contact monitoring devices. Portable with a low profile and low-cost non-contact vital signs sensors system that are capable to monitor heart and respiration rates are presented and evaluated their performances. A printed 2x1 patch array antenna, Yagi-Uda antenna and dipole array antenna are designed and integrated with sensor system Tx/Rx module for their performances analysis. The gain of the designed antennas are 6.38 dBi, 7.7 dBi, and 10.5 dBi, VSWR are 1.1, 1.15, and 1.0, and return loss are -26.26 dB, -22.7 dB and -21.6 dB respectively at 2.4 GHz. The evaluations performances of these antennas were compared with a standard respiratory-rate measurement using a pulse sensor and respiratory sensor. The measurement results using the proposed non-contact sensor systems and the standard contact systems showed excellent performance with the printed dipole array antenna compared with other two antennas, the error between the average heart rate extracted by the non-contact systems and the reference systems are ±1.1 beat/min for dipole array antenna, ±1.5 beat/min for printed 2x1 patch array antenna and ±1.9 beat/min for Yagi-Uda antenna. Index Terms ─ Heartbeat rate, printed dipole array arrays, printed patch array antenna, printed Yagi-Uda antenna, respiration rate, vital signs.
Ulmus minor bark hydro-alcoholic extract ameliorates histological parameters and testosterone level in an experimental model of PCOS rats

Abstract Objective. Polycystic ovary syndrome (PCOS) is a common and multifactorial disease associated with female factor infertility. Ulmus minor bark (UMB) is one of the medicinal plants used in Persian folklore as a fertility enhancer. In the current study, we aimed to elucidate the effect of UMB hydro-alcoholic extract on histological parameters and testosterone condition in an experimental model of PCOS rats. Methods. Thirty female rats were randomly divided into five groups: (1) control, (2) vehicle, (3) PCOS/50 mg [6 mg/kg dehydroepiandrosterone (DHEA) + 50 mg/kg UMB hydro-alcoholic extract], (4) PCOS/150 mg (6 mg/kg DHEA + 150 mg/kg UMB hydro-alcoholic extract), and (5) PCOS (6 mg/kg DHEA). All interventions were performed for 21 days. Afterwards, stereological analysis was done for determination of ovarian volume and follicle number. The serum level of testosterone was measured by ELISA kit. Results. UMB hydro-alcoholic extract improved the total number of the corpus luteum in the treatment groups when compared to the PCOS group (p<0.05). PCOS/150 mg and PCOS/50 mg groups showed significantly lower total number of the primordial, primary, and secondary follicles as well as testosterone level compared to the PCOS group (p<0.05). The total number of antral follicles and volume of ovary did not differ significantly between groups. Conclusion. UMB extract may be an effective and good alternative in improving PCOS histo-logical and testosterone disturbances although further studies are warranted to confirm the safety of UMB plant in human.
E ! ects of iron enrichment on phytoplankton in the Southern Ocean during late summer : active # uorescence and # ow cytometric analyses

Eight shipboard iron-enrichment experiments were carried out during the late summers of 1997 and 1998 in the Ross Sea and the Polar Front, respectively, as part of the US JGOFS Southern Ocean program. Using active #uorescence techniques (pump-during-probe #ow cytometry/micro#uorometry and fast repetition rate #uorometry) and #ow cytometry, we examined responses of phytoplankton to iron enrichment over time scales of days. Results of both individual cell and bulk water measurements suggest that physiological iron limitation was widespread in the Ross Sea gyre in the late summer, but that in the region just south of the Polar Front other factors were limiting phytoplankton growth. In the "ve experiments in which responses to enrichment occurred, all the phytoplankton groups we examined, with the exception of cryptophytes, responded to iron enrichment by increasing normalized variable #uorescence (F 7 /F . ) over several days. Normalized variable #uorescence of cryptophyte cells was typically higher than that of other cells and often near the maximum observed. Signi"cant correlations were observed between ambient iron concentrations and normalized variable #uorescence at the beginning of each experiment, and also between ambient iron and the response of normalized variable #uorescence to enrichment. These relationships, which have not been previously documented, support the use of ambient active #uorescence measurements to predict iron-limiting conditions without conducting incubations. ( 2000 Elsevier Science Ltd. All rights reserved. 0967-0645/00/$ see front matter ( 2000 Elsevier Science Ltd. All rights reserved. PII: S 0 9 6 7 0 6 4 5 ( 0 0 ) 0 0 0 6 4 3
Occupational Health Psychology

Occupational health psychology (OHP) is a cross-disciplinary subspecialty within psychology. OHP derives from two disciplines within applied psychology, health psychology and industrial/organizational psychology. OHP is also linked to disciplines outside of psychology, such as occupational medicine and public health. The discipline has roots in 18th-, 19th-, and 20th-century thinkers, including Adam Smith, Friedrich Engels, Karl Marx, Émile Durkheim, and Max Weber. These thinkers were concerned with the impact of the organization of work and the business cycle on human life. Later research by Elton Mayo, Marie Jahoda, Walter B. Cannon, Hans Selye, and investigators at the University of Michigan’s Institute for Social Research, the Tavistock Institute in London, the Stress Research Laboratory (now the Stress Research Institute) in Stockholm, and the National Institute for Occupational Safety and Health laid a foundation for OHP before the term was coined. While health psychology has largely been concerned with influences outside the domain of work that affect health and health behaviors, OHP emerged as a discipline that is concerned with understanding the nature of the impact of psychosocial working conditions on the physical and mental health and well-being of workers and their families. Examples of psychosocial working conditions include: (a) how much decision latitude a worker has, (b) psychological workload, and (c) the extent to which there is an imbalance between a worker’s effort, on one hand, and the tangible and intangible rewards the worker gets from the job, on the other. Knowledge obtained from such research is used to develop interventions designed to protect and enhance the health of workers, while maintaining organizational productivity. OHP is also concerned with occupational safety and accident prevention, the impact of unemployment and job insecurity on mental and physical health, the prevention of violence and psychological aggression at the workplace, and identifying factors that enhance work-family balance. The author thanks Anita Sicignano and Silke Toplak for reading and commenting on an earlier version of this bibliography.
Post-anthesis Drought Stress Effects on Photosynthesis Rate and Chlorophyll Content of Wheat Genotypes

Water stress is one of the major abiotic stresses in agriculture worldwide. In order to assess photosynthesis response and grain yield of 25 wheat genotypes under water deficit (post-anthesis stress) conditions, a 2-year study (2010-12) was carried out as a split-plot arrangement using randomized complete block design with three replications. The most sensitive gas exchange variable to water deficit was found to be mesophyll conductance (gm) (62% reduction), followed by photosynthesis rate (Pn) (42% reduction). Water deficit also reduced grain yield by an average of 45%. Pn and gm were significantly correlated with grain yield under both conditions. Higher chlorophyll content was associated with higher Pn under water deficit conditions. Maintenance of greater green leaf area during grain filling period was related to greater grain yield. Genotypes with higher Pn and gm were those with optimum grain yield (i.e. cvs. Zarrin and Darya), hence, Pn and gm were found to be the appropriate indices for screening wheat genotypes under the terminal water deficit conditions.