Miracle-dz/UniFAR-FTUs huggingface dataset:
Organizational Commitment and Turnover Intentions: Impact of Employee's Training in Private Sector of Saudi Arabia

The purpose of this paper is to investigate impacts of training on organizational commitment and turnover intentions in private sector of Saudi Arabia. The study seeks to focus the relationship between organizational commitment and turnover intentions of the employees. A literature review of organizational commitment and employee turnover provides the basis for the research model and hypotheses. A self-administered questionnaire was used, involving 251 respondents from leading private organizations of Saudi Arabia to collect data and testing the existing theory. The results provide strong support for the hypothesis that is the negative relationship between organizational commitment and turnover intention. Employees’ training is significantly correlated with organizational commitment, turnover intentions and the commitment-turnover relationship.The sample was limited to private organization in Saudi Arabia. It may not be appropriate to generalize the findings across other populations or settings. However, the sample can be viewed as a representative case typical of many other organizations in the same industry. The results provides insight into the impact of organizational commitment on turnover intentions in the specific private sector of Saudi Arabia, which might benefit for managers and policy makers of the concerned organizations and in general for the whole sector. The paper studies the problems that exist in the private sector of Saudi Arabia.
Analysis of Strip Footings on Fiber-Reinforced Slopes with the Aid of Particle Image Velocimetry

AbstractThis paper provides results of a comprehensive investigation into the use of waste carpet fibers for reinforcement of clay soil slopes. The interaction between laboratory scale model slopes made of fiber-reinforced clay soil and surface strip footing load was examined. Results for the influence of two variables, namely fiber content and distance between the footing edge and the crest of the slope, are presented and discussed. The particle image velocimetry (PIV) technique was used to study the deformation of the slope under the surface loading. The front side of the tank was made of a thick Perspex glass to facilitate taking accurate images during the loading stage. To study the stress induced in the slope under footing pressure, excess pore-water pressure and total stress increase were measured at predetermined locations within the slope. The results showed that fiber reinforcement increased the bearing resistance of the model slope significantly. For instance, inclusion of 5% waste carpet fiber .
Evaluating Extracting Conditions for Preparation of an AnthocyaninEnriched Extract from Sohiong (Prunus nepalensis L.) for ProspectiveApplications in Food

Anthocyanins have high potential in food sector not only due to their wide range of colour tones in various parts of the plants but also due to their high antioxidative activity. Sohiong (Prunus nepalensis L.), an indigenous fruit of Meghalaya, India, is rich in anthocyanins. The study was carried out to optimize the extraction of anthocyanin from Sohiong using varied ethanol and citric acid concentration at different time and temperature. The maximal yield of anthocyanins (837.74 ± 8.38 mg cyd-3-O-glu/ 100 g dm) was observed at ethanol concentration of 60% (v/v) acidified with 3% (w/v) citric acid at 350 C for 120 minutes. Extracts showed high antioxidative capacity (DPPH= 16.6 ± 0.07 mg TEAC/g dm; FRAP= 31.8 ± 0.14 mmol AEAC/100 g dm) owing to the presence of bioactive compounds like phenols, flavonoids, tannins, etc. Thus the fruit has high potential as natural colourant and can be used for the prevention of chronic diseases.
Obligate Biotroph Pathogens of the Genus Albugo Are Better Adapted to Active Host Defense Compared to Niche Competitors

Recent research suggested that plants behave differently under combined versus single abiotic and biotic stress conditions in controlled environments. While this work has provided a glimpse into how plants might behave under complex natural conditions, it also highlights the need for field experiments using established model systems. In nature, diverse microbes colonize the phyllosphere of Arabidopsis thaliana, including the obligate biotroph oomycete genus Albugo, causal agent of the common disease white rust. Biotrophic, as well as hemibiotrophic plant pathogens are characterized by efficient suppression of host defense responses. Lab experiments have even shown that Albugo sp. can suppress non-host resistance, thereby enabling otherwise avirulent pathogen growth. We asked how a pathogen that is vitally dependent on a living host can compete in nature for limited niche space while paradoxically enabling colonization of its host plant for competitors? To address this question, we used a proteomics approach to identify differences and similarities between lab and field samples of Albugo sp. -infected and -uninfected A. thaliana plants. We could identify highly similar apoplastic proteomic profiles in both infected and uninfected plants. In wild plants, however, a broad range of defense-related proteins were detected in the apoplast regardless of infection status, while no or low levels of defense-related proteins were detected in lab samples. These results indicate that Albugo sp. do not strongly affect immune responses and leave distinct branches of the immune signaling network intact. To validate our findings and to get mechanistic insights, we tested a panel of A. thaliana mutant plants with induced or compromised immunity for susceptibility to different biotrophic pathogens. Our findings suggest that the biotroph pathogen Albugo selectively interferes with host defense under different environmental and competitive pressures to maintain its ecological niche dominance. Adaptation to host immune responses while maintaining a partially active host immunity seems advantageous against competitors. We suggest a model for future research that considers not only host–microbe but in addition microbe–microbe and microbe–host environment factors.
Grammatical impairments in PPA

Background: Grammatical impairments are commonly observed in the agrammatic subtype of primary progressive aphasia (PPA-G), whereas grammatical processing is relatively preserved in logopenic (PPA-L) and semantic (PPA-S) subtypes. Aims: We review research on grammatical deficits in PPA and associated neural mechanisms, with discussion focused on production and comprehension of four aspects of morphosyntactic structure: grammatical morphology, functional categories, verbs and verb argument structure, and complex syntactic structures. We also address assessment of grammatical deficits in PPA, with emphasis on behavioural tests of grammatical processing. Finally, we address research examining the effects of treatment for progressive grammatical impairments. Main Contribution: PPA-G is associated with grammatical deficits that are evident across linguistic domains in both production and comprehension. PPA-G is associated with damage to regions including the left inferior frontal gyrus and dorsal white matter tracts, which have been linked to impaired comprehension and production of complex sentences. Detailing grammatical deficits in PPA is important for estimating the trajectory of language decline and associated neuropathology. We, therefore, highlight several new assessment tools for examining different aspects of morphosyntactic processing in PPA. Conclusions: Individuals with PPA-G present with agrammatic deficit patterns distinct from those associated with PPA-L and PPA-S, but similar to those seen in agrammatism resulting from stroke, and patterns of cortical atrophy and white matter changes associated with PPA-G have been identified. Methods for clinical evaluation of agrammatism, focusing on comprehension and production of grammatical morphology, functional categories, verbs and verb argument structure, and complex syntactic structures are recommended and tools for this are emerging in the literature. Further research is needed to investigate the real-time processes underlying grammatical impairments in PPA, as well as the structural and functional neural correlates of grammatical impairments across linguistic domains. Few studies have examined the effects of treatment for grammatical impairments in PPA; research in this area is needed to better understand how (or if) grammatical processing ability can be improved, the potential for spared neural tissue to be recruited to support this and whether the neural connections within areas of dysfunctional tissue required for grammatical processing can be enhanced using cortical stimulation.
Design and Development of Microbial Fuel cells

Recently, the world is facing energy crisis for non-renewable resources. So people are searching for high efficient energy transformations and way to utilize the alternate energy sources. Fuel cells are an important part in the research. The main aspects of fuel cell research is to reduce the cost and simplifying implementation conditions In recent years, people are moving towards microbiology and biotechnology to find the solution. Current review is based on studies of a form of fuel cells known as Microbial Fuel Cells (MFCs). MFCs can be the next generation of fuel cell and thus play an important role in energy conservation and alternate fuel utilization. There are different aspects of Microbial fuel Cells as well as different types of fuel cells. Microbial fuels cell can be used for different purposes such as electricity generation, Biohydrogen production, biosensors and waste water treatment.
Mobile Phone Based Clinical Microscopy for Global Health Applications

Light microscopy provides a simple, cost-effective, and vital method for the diagnosis and screening of hematologic and infectious diseases. In many regions of the world, however, the required equipment is either unavailable or insufficiently portable, and operators may not possess adequate training to make full use of the images obtained. Counterintuitively, these same regions are often well served by mobile phone networks, suggesting the possibility of leveraging portable, camera-enabled mobile phones for diagnostic imaging and telemedicine. Toward this end we have built a mobile phone-mounted light microscope and demonstrated its potential for clinical use by imaging P. falciparum-infected and sickle red blood cells in brightfield and M. tuberculosis-infected sputum samples in fluorescence with LED excitation. In all cases resolution exceeded that necessary to detect blood cell and microorganism morphology, and with the tuberculosis samples we took further advantage of the digitized images to demonstrate automated bacillus counting via image analysis software. We expect such a telemedicine system for global healthcare via mobile phone – offering inexpensive brightfield and fluorescence microscopy integrated with automated image analysis – to provide an important tool for disease diagnosis and screening, particularly in the developing world and rural areas where laboratory facilities are scarce but mobile phone infrastructure is extensive.
CAIN: Silently Breaking ASLR in the Cloud

Modern systems rely on Address-Space Layout Randomization (ASLR) and Data Execution Prevention (DEP) to protect software against memory corruption vulnerabilities. The security of ASLR depends on randomizing regions in memory which can be broken by leaking addresses. While information leaks are common for client applications, server software has been hardened to reduce such information leaks. Memory deduplication is a common feature of Virtual Machine Monitors (VMMs) that reduces the memory footprint and increases the cost-effectiveness of virtual machines (VMs) running on the same host. Memory pages with the same content are merged into one read-only memory page. Writing to these pages is expensive due to page faults caused by the memory protection, and this cost can be used by an attacker as a side-channel to detect whether a page has been shared. Leveraging this memory side-channel, we craft an attack that leaks the address-space layouts of the neighboring VMs, and hence, defeats ASLR. Our proof-of-concept exploit, CAIN (Cross-VM ASL INtrospection) defeats ASLR of a 64-bit Windows Server 2012 victim VM in less than 5 hours (for 64-bit Linux victims the attack takes several days). Further, we show that CAIN reliably defeats ASLR, regardless of the number of victim VMs or the system load.
Materialism, narcissism and the attitide towards conspicuous consumption

Conspicuous consumption (purchase of expensive goods and services in order to visibly demonstrate buying power) is a frequent and widely spread type of consumer behavior. Besides its economic dimension, conspicuous consumption certainly also has its - for now under studied - psychological dimension. So far, it has been reported that positive attitude towards conspicuous consumption is associated with conformity, high esteem of authority, social anxiety, Machiavellism, and ruthless self-advancement. In this study, using a sample of 272 high school students (aged 16-18) we studied predictive relationship between narcissism and materialism, and the attitude towards conspicuous consumption. The data indicated that materialism was a significant predictor of the attitude towards conspicuous consumption, quite in line with some previous research. In spite of a significant correlation between narcissism and materialism, narcissism was not a significant predictor of the attitude towards conspicuous consumption. Thus, this study has widened nomological network of the attitude towards conspicuous consumption and clearly delineated two seemingly similar psychological constructs: materialism and the attitude towards conspicuous consumption.
BigHand2.2M Benchmark: Hand Pose Dataset and State of the Art Analysis

In this paper we introduce a large-scale hand pose dataset, collected using a novel capture method. Existing datasets are either generated synthetically or captured using depth sensors: synthetic datasets exhibit a certain level of appearance difference from real depth images, and real datasets are limited in quantity and coverage, mainly due to the difficulty to annotate them. We propose a tracking system with six 6D magnetic sensors and inverse kinematics to automatically obtain 21-joints hand pose annotations of depth maps captured with minimal restriction on the range of motion. The capture protocol aims to fully cover the natural hand pose space. As shown in embedding plots, the new dataset exhibits a significantly wider and denser range of hand poses compared to existing benchmarks. Current state-of-the-art methods are evaluated on the dataset, and we demonstrate significant improvements in cross-benchmark performance. We also show significant improvements in egocentric hand pose estimation with a CNN trained on the new dataset.
Isolation and Identification of Bacterial Burn Wound Infection and Their Sensitivity to Antibiotics Department of microbiology , college of medicine , Al-Nahrain university

The study aimed to determine the bacteriological profile and the resistance pattern of burn wound bacteria to the most common antibiotics . A total of 100 burn wound swabs were collected from burn patients from 4 hospitals in Baghdad province. After the swabs had been cultured on different media, conventional biochemical tests to identify bacterial isolates and antimicrobial sensitivity to the most common antibiotics were performed. The total positive swabs for bacterial isolation was 89 , of which , Pseudomonas aeruginosa was the most commonest pathogen [31.46%] followed by Klebsiella spp. [22.47%] , Staphylococcus aureus [20.22%] , Escherichia coli [15.73%] and Proteus spp. [10.11%] . Most isolates showed high resistance to cephalothin and trimethoprim , and high susceptibility to nalidixic acid and amikacin. Despite the rapid improvement in medical care , wound burn infection still represent a serious problem for burn patients, with many bacteria developed different degrees of resistance to most known antibiotics .
Detoxification of Phenols and Aromatic Amines from Polluted Wastewater by Using Phenol Oxidases

it i ~s . Large scale use of herbicides, in secti sid es and pesticides in agriculture contributes to the presence of th ese hazard ­ ous material s in the surface and in th e ground water. Phe nol s and aromatic amines are also re leased as inte r­ medi ary products during th e microbial degradation of pesticides or some other xenobiotics 5 . 0 . The vast major­
Lattice QCD and heavy ion collisions: a review of recent progress

In the last few years, numerical simulations of Quantum chromodynamics on the lattice have reached a new level of accuracy. A wide range of thermodynamic quantities is now available in the continuum limit and for physical quark masses. This allows a comparison with measurements from heavy ion collisions for the first time. Furthermore, calculations of dynamical quantities are also becoming available. The combined effort from first principles and experiment allows us to gain an unprecedented understanding of the properties of quark-gluon plasma. I will review the state-of-the-art results from lattice simulations and connect them to the experimental information from the relativistic heavy ion collider and the large hadron collider.
Evolution of Object Oriented Coupling Metrics: A Sampling of 25 Years of Research

Coupling is one of the most important properties that affect the quality of the design and implementation of a software system. In the context of object oriented software development, coupling metrics and their impact on quality attributes have been investigated for a quarter of a century. In this work we review and critically analyze the developments in this domain by considering 26 of the most influential research papers addressing object oriented coupling. Our analysis reveals that a very strong theoretical background has been already developed but unfortunately without a clear impact on the industry practices and software analysis tooling. Even more, recent developments fail to address this problem and seem to even contribute to increasing this gap. We argue that the direction of current research should be shifted towards systematizing and evaluating existing results rather than exploring new applicability domains and defining new metric suites.
A Synergistic Architecture for RPL over BLE

In this paper, we consider a protocol architecture that enables IPv6 routing protocol for low power and lossy networks (RPL) to run on top of Bluetooth Low Energy (BLE), aiming to provide a BLE-based multi-hop IoT network. In our approach to RPL over BLE, we propose to use both of advertising and data channels of BLE to create synergistic effects between RPL and BLE to jointly achieve high energy efficiency and reliable multi-hop routing. We design an adaptation layer between BLE and RPL (ALBER) which tightly couples RPL and BLE operations together. Specifically, ALBER provides RPL control message broadcast through BLE, RPL routing metric calculation that reflects BLE link quality, and routing table update that incorporates BLE connection management. We implement ALBER in a Linux kernel to realize RPL over BLE and compare its performance with that of RPL over IEEE 802.15. 4 on a multi-hop testbed network. The performance results show that our architecture is not only feasible but also provides almost perfect packet delivery performance (↑100%) and reduces dutycycle up to 32% compared to RPL over IEEE 802.15. 4 under varying link dynamics. Our research shows that RPL over BLE is a promising approach which can increase the utility and impactof BLE across different application domains.
Comparing the Open Trial – Selective Reminding Test results with the California Learning Verbal Test II in multiple sclerosis

ABSTRACT We compared the California Learning Verbal Test II (CVLT II) and the Open Trial-Selective Reminding Test (OT-SRT) in assessing learning in persons with Multiple Sclerosis. One-hundred and twelve participants with multiple sclerosis performed the OT-SRT and the CVLT II on two different days. All participants completed additional cognitive tests assessing information processing speed (IPS), working memory (WM), and executive functions (EF). By definition, all participants were identified as having impaired learning on the OT-SRT (i.e., z score <−1.0); however, only 38 participants (33.9%) were identified as having impaired learning on the CVLT II (i.e., a z score <−1 total correct responses trials 1–5). The sample was thus divided into two groups, those who failed both tests (Fail-2) and those who failed only one (Fail-1). The Fail-2 group showed poorer performance on EF, WM and IPS in comparison with the Fail-1 group. On the CVLT II, the Fail-1 group showed a significantly greater improvement between trials 1 and 5, as compared with the Fail-2 group. However, the two groups performed similarly on the OT-SRT. Correlation analysis showed that EF is positively correlated with CVLT II learning slope but not with OT-SRT learning slope. The CVLT II and the OT-SRT are not equivalent tests: while the CVLT II appears to be sensitive to overall cognitive dysfunction, the OT-SRT is more sensitive to focal learning and memory impairments.
Intensive Treat-to-Target Statin Therapy in High-Risk Japanese Patients With Hypercholesterolemia and Diabetic Retinopathy: Report of a Randomized Study

OBJECTIVE Diabetes is associated with high risk of cardiovascular (CV) events, particularly in patients with dyslipidemia and diabetic complications. We investigated the incidence of CV events with intensive or standard lipid-lowering therapy in patients with hypercholesterolemia, diabetic retinopathy, and no history of coronary artery disease (treat-to-target approach). RESEARCH DESIGN AND METHODS In this multicenter, prospective, randomized, open-label, blinded end point study, eligible patients were randomly assigned (1:1) to intensive statin therapy targeting LDL cholesterol (LDL-C) <70 mg/dL (n = 2,518) or standard statin therapy targeting LDL-C 100–120 mg/dL (n = 2,524). RESULTS Mean follow-up was 37 ± 13 months. LDL-C at 36 months was 76.5 ± 21.6 mg/dL in the intensive group and 104.1 ± 22.1 mg/dL in the standard group (P < 0.001). The primary end point events occurred in 129 intensive group patients and 153 standard group patients (hazard ratio [HR] 0.84 [95% CI 0.67–1.07]; P = 0.15). The relationship between the LDL-C difference in the two groups and the event reduction rate was consistent with primary prevention studies in patients with diabetes. Exploratory findings showed significantly fewer cerebral events in the intensive group (HR 0.52 [95% CI 0.31–0.88]; P = 0.01). Safety did not differ significantly between the two groups. CONCLUSIONS We found no significant decrease in CV events or CV-associated deaths with intensive therapy, possibly because our between-group difference of LDL-C was lower than expected (27.7 mg/dL at 36 months of treatment). The potential benefit of achieving LDL-C <70 mg/dL in a treat-to-target strategy in high-risk patients deserves further investigation.