Miracle-dz/UniFAR-FTUs huggingface dataset:
PERCEPTION OF YOUNG EMPLOYEES ON COMMUNICATING AND SHARING WORKING RELATIONSHIPS WITH OLDER EMPLOYEES IN HIGHER LEARNING INSTITUTIONS IN MALAYSIA

This study investigates the perception of young employees (less than 40 years old) on their older counterparts (56-58 years old) pertaining to communicating and sharing working relationships. The main objective of the study is to analyze the perception of young employees on working relationships satisfaction with communicative teamwork, mutual learning, participative decision making, and communicating feedback of the older employees in higher learning institutions. A total of 575 employees in five Malaysian universities in the Klang Valley participated in the study. Survey research design was used for the study. Data were gathered using questionnaire and analyzed using SPSS WIN 16.0 for both descriptive and inferential statistics. Results indicated that, on the whole, young employees have positive teamwork relationships with the older employees. They learned a lot from the older employees as the older employees are helpful in sharing their experiences in decision making. At the same time, the young employees receive positive feedback from the older employees. However, the older employees hardly compliment the young employees for their achievements.
Accuracy of three image techniques of measurement from cemento-enamel junction to alveolar crest in relation to clinical attachment level

This research aimed to determine the comparison, correlation and accuracy of three radiographic methods and one clinical method for measuring the distance between cemento-enamel junction and the alveolar crest in lower molars and bicuspids in patients with periodontal bone loss, who underwent clinical probing and vertical bite-wing radiographs. Only areas with probing depth greater or equal to 5 mm were included in the sample. The distance between cementoenamel junction and the apical portion of 82-bone defect was verified through double-needle compass, digital caliper and the software Dentscan Dentview. The accuracy, correlation and comparison between clinical and radiological variables were recorded. The results showed that when the attachment level was the gold standard, the double-needle compass expressed the best accuracy (71% of sensitivity and 84.5% of specificity), followed by digital caliper (0% of sensitivity and 82.8% of specificity) and Dentscan Dentview (0% of sensitivity and 75.9% of specificity) regardless of testing variable or gold standard’s location, more severe diseases were underestimated than overestimation of onset disease. The systems with digital resources showed greater measurement values than methods without digital resources. All the variables presented.
Intention-Aware Autonomous Driving Decision-Making in an Uncontrolled Intersection

Autonomous vehicles need to perform social accepted behaviors in complex urban scenarios including human-driven vehicles with uncertain intentions. This leads to many difficult decision-making problems, such as deciding a lane change maneuver and generating policies to pass through intersections. In this paper, we propose an intention-aware decision-making algorithm to solve this challenging problem in an uncontrolled intersection scenario. In order to consider uncertain intentions, we first develop a continuous hidden Markov model to predict both the high-level motion intention (e.g., turn right, turn left, and go straight) and the low level interaction intentions (e.g., yield status for related vehicles). Then a partially observable Markov decision process (POMDP) is built to model the general decision-making framework. Due to the difficulty in solving POMDP, we use proper assumptions and approximations to simplify this problem. A human-like policy generation mechanism is used to generate the possible candidates. Human-driven vehicles’ future motion model is proposed to be applied in state transition process and the intention is updated during each prediction time step. The reward function, which considers the driving safety, traffic laws, time efficiency, and so forth, is designed to calculate the optimal policy. Finally, our method is evaluated in simulation with PreScan software and a driving simulator. The experiments show that our method could lead autonomous vehicle to pass through uncontrolled intersections safely and efficiently.
Social Provisions among Street Children

The research presents description of relationship of street children with their parents, peers, friends and others significant people. The study also intended to find out social support system of the street children. A sample of 80 trash picker girls and boys of age range 8-12 years, living with their both parents at their homes was collected from different areas of Lahore. Social Provisions scale Urdu Version (Rizwan & Syed, 2010) and Multidimensional scale of perceived social support (Zimet, Dehlm, Zimet & Farley, 1988)were administered to identify certain type of social support and social support adequacy from different sources respectively. Results indicated that girls received higher social support as compared to boys. No significant difference found on the attachment level among both. Boys scored higher on reassurance of worthwhile girls scored higher on reliable alliance, guidance and opportunity of nurturance. Results also indicated that both boys and girls find equal support from their friends while on the other hand, boys received more support from family while girls from significant others. A positive correlation was also found between nurturance and reassurance of worth, guidance, reliable alliance, nurturance opportunity and family category in both genders. Results are discussed in cultural relevance.
Ethnic Pattern of Origin of Children with Spina Bifida Managed at the University Teaching Hospital and Beit Cure Hospital, Lusaka, Zambia 2001-2010

The incidence of spina bifida (SB) is known to differ among regions. Very little has been reported about the relationship between the incidence of SB and ethnic patterns of origin in Zambia except for the general impression that it is prevalent. The aim of the study was to establish the ethnic pattern of origin of children with SB in Zambia. It was a retrospective cross sectional study. Using a checklist, data was collected from clinical files of children with SB from the University Teaching Hospital (UTH) and Beit Cure Hospital (BCH) from 2001-2010. Descriptive statistical analysis was done in SPSS version 17. A total of 253 children with SB were identified of whom 88 (35%) of them originally came from the Southern Province of the country while the lowest province was the North-Western Province with 7 (3%). Further, a total of 77 (30%) children were referred from the Southern Province of the country and the lowest province that was represented was the North-Western Province with 5 (2%). Observed is the evidence that SB is very prevalent in the Southern Province of the country. With the presence of Uranium in the Southern Province of Zambia, a serious study ought to be done to investigate the possible link of the pollutant with the prevalence of SB in the region. It is essential that the government looks seriously at Uranium Mines being operated in the Province.
Assessment of Trace Metals in Imported Cosmetics marketed in Nigeria

This work is aimed at investigating the levels of some trace metals in make-up items mainly imported into Nigeria. Ten different make-up items were analyzed for seven trace metals. Atomic adsorption Spectrophotometer (AAS) was used to quantify the presence of these heavy metals. The trace metals analyzed included Zn, Cr, Co, Cd, Mn, Pb, and Ni. The concentration of Zn (0.6866 mg/Kg) was found to be the highest in sample I followed by Mn with (0. 5485 mg/Kg) while Cr in sample C and F, and Cd in sample A where below detectable limit. These heavy metals were found to be within safe limits of Health Canada, The Japanese Standards of Cosmetic Ingredients (JSCI), FDA and The European Cosmetics Directive for healthy cosmetics free of trace metals toxicity. Keywords: Trace metals, Imported, Nigeria, AAS, limit, and FDA.
Smart Grid Load Forecasting Cloud Platform Architecture: A Review

Load forecasting is making calculations or predictions of a future event or condition based on analysis or study of historical data, events or observations. With the development of smart grid, smart meter is also increasing largely, which can generate metering data per 15 mins, and there comes a huge amount of metering data. Thus such huge amount of data leads to some challenges in data processing. This paper introduces the meaning of studying load forecasting, and recommends current relevant research. Then, the cloud platform architecture, the key technologies based cloud and current relevant research for load forecasting based on cloud in smart grid is discussed. Finally it introduces the related load forecasting services based on the cloud platform architecture in smart grid. After all, there is a conclusion of this paper.
Comparative study on the protective effect of carnosine and carnitine against pro-inflammatory/pro-oxidant effects of clindamycin and propionic acid administrations to hamsters

This study aimed to compare the neuroprotective potency of carnosine and carnitine supplements against the proinflammatory and prooxidant effects of orally administrated propionic acid and clindamycin induced changes in microflora of hamsters. Nine experimental groups, each consisting of six young male golden Syrian hamsters were investigated: control group (received only phosphate buffered saline), oral buffered PA-treated group (received a neurotoxic dose of 250 mg/kg PA for three days), oral clindamycin-treated group (received a single dose of 30 mg clindamycin/kg), oral carnosine-treated group received a daily dose of 10 mg/kg/day for one week, oral carnitine-treated group was given a daily oral dose of 50 mg/kg/day for one week, and four protected groups received the same doses of carnosine or carnitine for one week followed by PA for 3 days or a single dose of clindamycin. Interferonγ (INF-γ), heat shock protein (HSP70), malondialdehyde (MD), and glutathione peroxidase (GPX) were measured in the cortexes and medullas at the end of the experiment. This study confirmed the pro-inflammatory and pro-oxidant effects of orally administered PA and overgrowth of pathogenic bacteria in hamsters. While PA induced a significant increase of IFN-γ, HSP70, and MD with a significant decrease of GPX activity in brain cortex and medulla, clindamycin brought a marked increase only in MD and HSP70 with a reduction of GPX activity. Receiver operating characteristics (ROC) analysis showed satisfactory specificity and sensitivity which could help to suggest that the measured parameters could be used as brain injury biomarkers. Although bacterial overgrowth induced by clindamycin was effective in inducing signs of neuronal toxicity in cortex and medulla, its effect were not comparable to those induced by the oral administration of PA. The findings suggest that the overgrowth of specific bacteria does not manifest significant neurologic harms until there is toxic exposure to a dietary metabolite. Key words: Autism, propionic acid, clindamycin, oxidative stress, pro-inflammation, bacterial overgrowth
Simplified Machine Diagnosis Techniques by Impact Vibration using n-th Moment of Absolute Deterioration Factor

Abstract. Among many dimensional and dimensionless amplitude parameters, kurtosis (4-th normalized mom-ent of probability density function) is generally regarded as a sensitive good parameter for machine diagnosis. However, higher order moment may be supposed to be much more sensitive. Bicoherence is an absolute deterioration factor whose range is 1 to 0. The theoretical value of n-th moment divided by n-th moment calculated by measured data would behave in the same way. We propose a simplified calcula- tion method for an absolute index of n-th moment and name this as simplified absolute index of n-th moment. Some favorable results are obtained. Keywords: impact vibration, probability density function, kurtosis, n-th moment 1. INTRODUCTION In mass production firms such as steel making that have big equipments, sudden stops of production pro-cesses by machine failure cause severe damages such as shortage of materials to the later processes, delays to the due date and the increasing idling time. To prevent these troubles, machine diagnosis tech-niques play important roles. So far, Time Based Main-tenance (TBM) technique has constituted the main stream of the machine maintenance, which makes checks for maintenance at previously fixed time. But it has a weak point that it makes checks at scheduled time without taking into account whether the parts are still keeping good conditions or not. On the other hand, Condition Based Maintenance (CBM) makes maintenance checks by watching the condition of machines. Therefore, if the parts are still keeping good condition beyond its expected life, the cost of maintenance may be saved because machines can be used longer than planned. Therefore the use of CBM has become dominant. The latter one needs less cost of parts, less cost of maintenance and leads to
Capital flow to China and the issue of hot money: an empirical investigation

This paper tries to model the time series characteristics of capital flows to China over the period 1999-2008, namely bond flows (BF), equity flows (EF), bank credit (BC), and foreign direct investment (FDI). By utilizing the state space model and using Kalman filtering algorithm with maximum likelihood estimation, we try to gauge the relative importance of permanent and temporary components of each series. And by incorporating intervention and explanatory variables, we also try to detect if capital control measure imposed by the Chinese government and market sentiment of RMB foreign exchange rate appreciation expectation have any effect upon those flows. The empirical result shows that: all four flows are dominated by transitory component, among which BC flows have a relatively large permanent component and are the only series that are sensitive to market sentiment measure. In addition, capital control measures successfully skewed flows to come in through FDI and bond flow channels instead of equity flows. And our extended model with intervention and explanatory variables for those flows have better prediction performance compared to Sarno and Taylor (1999a) and the benchmark models.
Effect of temperature on superconducting nanowire single-photon detector noise

Today Superconducting Nanowire Single-Photon Detectors (SNSPDs) are commonly used in different photon-starved applications, including testing and diagnostics of VLSI circuits. Detecting very faint signals in the near-infrared wavelength range requires not only good detection efficiency, but also very low Dark Count Rate (DCR) and jitter. For example, low noise is crucial to enable ultra-low voltage optical testing of integrated circuits. The effect of detector temperature and background thermal radiation on the noise of superconducting single-photon detectors made of NbN meanders is studied in this paper. It is shown that two different regimes can be identified in the DCR vs. bias current characteristics. At high bias, the dark count rate is dominated by the intrinsic noise of the detector, while at low bias current it is dominated by the detection of stray photons that get onto the SNSPD. Changing the detector temperature changes its switching current and only affects the high bias branch of the characteristics: a reduction of the DCR can be achieved by lowering the SNSPD base temperature. On the other hand, changing the temperature of the single-photon light source (e.g. the VLSI circuit under test) only affects the low bias regime: a lower target temperature leads to a smaller DCR.
RESOLVING AMBIGUITY OF DEMONSTRATIVE USE IN KAMAS

The purpose of the present paper is to establish pragmatic criteria which help in parsing syntactically ambiguous instances of a sequence of demonstrative pronoun and noun (D_N) in the Kamas text corpus. The paper also gives an account of the Kamas demonstrative system as encountered in the grammatical, lexical and text records.
EXPOSURE OF SILVER NANOPARTICLES IN GLYCOGEN CONTENT TO FRESHWATER FISH “CYPRINUS CARPIO”

Background: The term nano-silver refers to the nanoparticulate size of the silver nanoparticles particles. Silver to 100μm breaks to silver nanoparticles. Silver nanoparticles in the aquatic environment is estimated to about 0.01 μgL -1 . Nanosilver has a more active surface area and better porosity than commercial silver. Traditional methods in toxicology research and assessments have focused mostly on biochemical agents in glycogen level. Widely used nanoparticles, such as silver nanoparticles, most likely enter the ecosystem and may produce a biochemical and physiological response in many animals, possibly altering their fitness and might ultimately change the glycogen level. Silver nanoparticles used as biomarkers for monitoring environmental quality, water pollution and the health condition of aquatic organisms. Objective: The change leads to toxicity in biochemical level and changes occurs in glycogen content. Blood hepatic glycogen can be utilized as a parameter of stress response, as it is rapid, practicable and quantitative reported that blood glycogen appeared to be sensitive indicator of environmental stress in fish and it has been widely monitored to study stress in fish. Material & Methods: Estimation of muscle glycogen was done by anthrone method (samseifter et al., 1949). Results: Silver nanoparticles in glycogen content exhibited a significant decrease throughout the study period. Conclusion: The action of silver nanoparticles is most likely on the gill surfaces resulting in impaired gas exchange. Nanosilver concentrations and the expected future use of nanosilver undoubtedly result in decreased environmental concentrations. Also the examined concentration of silver World Journal of Pharmaceutical Research SJIF Impact Factor 7.523 Volume 6, Issue 9, 538-546. Research Article ISSN 2277– 7105 *Corresponding Author
An Empirical Investigation into Appellate Structure and the Perceived Quality of Appellate Review

Commentators have theorized that several factors may improve the process, and thus perhaps the accuracy, of appellate review: (1) review by a panel of judges, (2) subject-matter expertise in the area of the appeal, (3) other lawfinding ability, (4) adherence to traditional notions of appellate hierarchy, and (5) the judicial independence of appellate judges. The considerable discussion that has expounded upon these theories has occurred in a vacuum of abstract generalization. This Paper adds a new dimension by presenting results from an empirical study of bankruptcy appellate opinions issued over a three-year period. The federal bankruptcy appellate structure provides certain litigants the choice to appeal, in the first instance, to one of two distinct appellate tribunals - district courts and bankruptcy appellate panels (BAPs) - whose structural features relating to the theorized qualities of appellate review differ. As BAPs appear to have more of the features associated with the quality of appellate review, the study tests the theory through various hypotheses that focus on the perception held by other federal courts within the bankruptcy appellate structure of the quality of appellate review provided by these distinct appellate tribunals. The data show that federal courts have perceived BAPs to provide a better quality of appellate review. Having unearthed evidence that supports the theoretical notions underlying the quality of appellate review, this Paper concludes that commentators and policymakers ought to be encouraged to explore further, in a more detailed manner, the question of how appellate structure can be designed to provide better results.
Serially Connected Micro Amorphous Silicon Solar Cells for Compact High-Voltage Sources

We demonstrate a compact amorphous silicon a-Si solar module to be used as high-voltage power supply. In comparison with the organic solar module, the main advantages of the a-Si solar module are its compatibility with photolithography techniques and relatively high power conversion efficiency. The open circuit voltage of a-Si solar cells can be easily controlled by serially interconnecting a-Si solar cells. Moreover, the a-Si solar module can be easily patterned by photolithography in any desired shapes with high areal densities. Using the photolithographic technique, we fabricate a compact a-Si solar module with noticeable photovoltaic characteristics as compared with the reported values for high-voltage power supplies.
Intermittency in Passive Scalar Advection

A Lagrangian method for the numerical simulation of the Kraichnan passive scalar model is introduced. The method is based on Monte Carlo simulations of tracer trajectories, supplemented by a point-splitting procedure for coinciding points. Clean scaling behavior for scalar structure functions is observed. The scheme is exploited to investigate the dependence of scalar anomalies on the scaling exponent $\ensuremath{\xi}$ of the advecting velocity field. The three-dimensional fourth-order structure function is specifically considered.
AN EXAMINATION OF SERVICE QUALITY INDICATORS AS A PREDICTOR OF CUSTOMER SASTISFACTION FOR U.S. FOREST SERVICE RECREATIONISTS

of Thesis Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Master of Science in Recreational Studies AN EXAMINATION OF SERVICE QUALITY INDICATORS AS A PREDICTOR OF CUSTOMER SATISFACTION FOR U.S. FOREST SERVICE RECREATIONISTS
Ultrasonic-Assisted Extraction and Antioxidant Activity of Flavonoids from Adinandra nitida Leaves

Purpose: To identify the main flavonoid in Adinandra nitida leaf, employ response surface methodology to optimize its ultrasonic-assisted extraction, and determine the antioxidant activity of the obtained extract. Methods: The main flavonoid in Adinandra nitida leaf was obtained by traditional solvent extraction and recrystallization methods, and identified by ultraviolet-visible spectroscopy (UV), Fourier transform infrared spectroscopy (FT-IR), electrospray ionization-mass spectrometry (ESI-MS), nuclear magnetic resonance spectroscopy (NMR). By using response surface methodology, the effects of extraction time, ethanol concentration and ultrasonic frequency on flavonoid yield were investigated and optimal conditions determined. 1,1-Diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity and reducing power of the obtained extract was also examined. Results: The main flavonoid in Adinandra nitida leaf was identified as camellianin A. Optimal extraction conditions were as follows: extraction time, 30.25 min; ethanol concentration, 63.84 %; and ultrasonic frequency, 45 KHz. The mean experimental flavonoid yield under optimum conditions was 84.52 ±1.65 %, which agreed with the predicted value of 83.02 %. The obtained flavonoid extract was an effective scavenger of DPPH radicals with IC50 of 0.02 mg/mL. A linear correlation between concentration of the flavonoid extract and reducing power was observed with a coefficient of r 2 = 0.9867. Conclusion: By using ultrasonic-assisted extraction, the main flavonoid in Adinandra nitida leaf can be obtained at a high yield. The flavonoid displays a strong DPPH radical scavenging activity and reducing power, which makes it potentially useful in the food and pharmaceuticals industries.