Miracle-dz/UniFAR-FTUs huggingface dataset:
Status Influence and Job Satisfaction of Organizational Members

This paper gives an insight into the overall job satisfaction of employees as well as satisfaction with respect to the facets of job viz. pay, promotion, supervision, fringe benefits, contingent rewards, operating conditions, coworkers, nature of work, and communication. The purpose of the study was to know employees attitudes towards different job facets and to examine whether job satisfaction increases with rank or not? The data is primary in nature based on a field survey conducted on the permanent employees of three Electric Corporation viz. MeECL, NEEPCO, and PowerGrid located in the North Eastern State of India, Meghalaya, Shillong. A sample of 337 employees was considered and data were collected divided into two strata of 129 executives and 208 non-executives. For the purpose of measurement of job satisfaction, job satisfaction survey instrument by specter (1985) was considered. The finding of the study revealed that job satisfaction increases with rank and the attitudes of the two strata towards different facets were also revealed.
Running head: Transcriptomics of C 4 photosynthesis in rice paddy 1

54 The C 4 pathway is a highly complex trait that increases photosynthetic efficiency in over sixty 55 plant lineages. Although the majority of C 4 plants occupy disturbed, arid and nutrient-poor 56 habitats, some grow in high-nutrient, waterlogged conditions. One such example is 57 Echinochloa glabrescens , which is an aggressive weed of rice paddies. We generated 58 comprehensive transcriptome datasets for C 4 E. glabrescens and C 3 rice to identify genes 59 associated with adaption to waterlogged, nutrient-replete conditions, but also used the data 60 to better understand how C 4 photosynthesis operates in these conditions. Leaves of E. 61 glabrescens exhibited classical Kranz anatomy with lightly lobed mesophyll cells having low 62 chloroplast coverage. As with rice and other hygrophytic C 3 species, leaves of E. 63 glabrescens accumulated a chloroplastic phospho enol pyruvate carboxylase protein, albeit at 64 reduced amounts relative to rice. The arid-grown species Setaria italica (C 4 ) and 65 Brachypodium distachyon (C 3 ) were also found to accumulate chloroplastic PEPC. We 66 identified a molecular signature associated with C 4 photosynthesis in nutrient-replete, 67 waterlogged conditions that is highly similar to those previously reported from C 4 plants that 68 grow in more arid conditions. We also identified a cohort of genes that have been subjected 69 to a selective sweep associated with growth in paddy conditions. Overall, this approach 70 highlights the value of using wild species such as weeds to identify adaptions to specific 71 conditions associated with high-yielding crops in agriculture.
Failure Recovery of Data Plane in SDN Failure Recovery of Data Plane in SDN

Software-defined networking (SDN) plays a vital role in enterprise-networking and wide area networking. While it also has an emerging role in other wireless technologies such as 5G and IoT (Internet of Things), The growing number of strict SLA applications on the internet requires the network to be more scalable and fault tolerant. There is a need for research to evaluate the current state of the art of solutions in SDN and their emerging roles in other technologies. This study used a systematic literature review methodology to conduct this research. AS part of the survey, we reviewed 188 papers from 2010-2021 and got 70 papers more relevant for our work. We only covered papers written in English. This research tries to help network engineers, administrators, and academic researchers in the domain of networking, find a better fault-tolerant solution for data plane in SDN.
Classification of post-wildfire aerial imagery using convolutional neural networks

Assessment of post-wildﬁre damages to human structures is a manual task which currently uses ground-level observations of the structures by a human inspector to classify the burn severity of the aﬀected structure. This study investigated the potential of using machine learning and speciﬁcally computer vision techniques in order to produce a classiﬁcation of burn severity using post-wildﬁre aerial imagery. Speciﬁcally, a convolutional neural network model was trained on post-wildﬁre aerial imagery of aﬀected human structures, and learned to classify their burn severity. The dataset used also suﬀered from a class-imbalance problem, meaning that the ratio of the diﬀer-ent burn severity classes was skewed. Resampling techniques were studied as a method of improving performance given the class imbalance problem. The study showed that convolutional neural networks were able to provide valuable classiﬁcations of the aﬀected structures given post-wildﬁre aerial imagery. However, the results of the study showed that resampling using random oversampling did not provide an increase in model performance, and in fact lead to a worse performance when compared to a model trained on the same dataset without resampling.
Self-reported Barriers to Surgical Access in Rural Alabama: A Quality Controlled Assessment of Patient Perspectives

Limited data exist on the barriers to surgical care in rural America. Prior studies have focused primarily on select procedures and not patient-reported barriers. As part of medical student’s capstone project during a rural medicine acting internship at a regional campus, we adapted and piloted a survey to examine barriers to surgery in the rural Deep South. Methods: A participatory process was used to modify an existing survey. The final survey was piloted in a convenient sample of adults (N=10, Mean age = 61, 100% rural, 50% female). Descriptive statistics were used to characterize the study population. Results: Among patients surveyed, 80% self-reported comorbid conditions. Commonly reported barriers to surgical care were lost wages due to surgery (75%), no one to care for family or belongings while out for surgery (75%), fear of surgery and/or complications (75%), and surgery not being an emergency (50%). The average distance travelled to receive surgery was 25 miles, or 31 minutes. Discussion: Our data indicate that rural adults have several comorbid conditions and perceive that factors of affordability (e.g., lost wages) and acceptability (e.g., fear of surgery) are the most significant hurdles to surgery. Additional research and larger samples are needed to examine potential differences and disparities that may exist.
TO TEST A) ASSOCIATION OF HBA1C % AND THE FREQUENCY OF T2 DIABETIC COMPLICATIONS B) T2 DIABETES TREATMENT (ALGORITHM AACE VS ADA+ EASD REGIME)

Background: D.M is a metabolic disorder characterized by the presence of hyperglycemia due to impaired insulin action/sensitivity and β cell defect. India occupies the second position, after China, in the global list of countries with a total of 66.8 million cases. Standardised HbA1C cut off values are taken for the diagnosis, treatment and to assess prognostic outcome of T2 Diabetes. Methods : The cut off HbA 1c value ≥6.5% (NSGP standards) is taken as new criteria to diagnose T2 Diabetes and it can be used for predicting the complications. Efficacy of Incretin based therapy (AACE) was compared with other hyopoglycemics (ADA+EASD) as second line of drugs. Results Of the 165 cases of complicated T2 Diabetes 72% of the cases with HbA1C level >7% showed complication like Diabetic retinopathy and microalbuminuria After Rx means patients after receiving hypoglycemic drugs showing improvement in the form of reduced HbA1C, Fasting and PP glucose levels. Out of 155 cases on GLP1 agonist, 120 cases(77.40%) shows considerable reduction in HbA1C% (0.5- 1%)& Of 145 cases on other hypoglycemics, 100 cases (68.9%) reduction of HbA1C % but the average reduction was <0.5% of HbA1C. Conclusion : Studies shows a direct & linear correlation of HbA1C with the diabetic retinopathy and micro-albuminuria. It is very safe to say that HbA1C is better parameter than FBS & 2 hour PP plasma glucose level in diagnosing & predicting the complications of diabetes. The formulations of AACE guidelines for treatment of T2 Diabetes mellitus appears to be better as it in includes weight reduction stratigies, obesity & prediabetes management. GLP1 agonists as 2 nd line drugs (AACE) are more effective as compared to other hypoglycemic.
Accessibility, Disability and Deaf: a Review

Usability is an important attribute that needs more concentration in determining the production of a successful mobile application. Currently, deaf people has increased using mobile and the application tremendously. However, accessibility being under measured as many disability applications are being left unused after quite some time. To better suit the need of mobile applicationsfor the disability people, the level of accessibility needs to be measured accordingly. This study uses Systematic Literature Review (SLR) to review accessibility needs for a disability people application especially deaf people mobile application. Result from SLR shows that accessibility for mobile application for the deaf are measured limited in terms of its usage among deaf people due to lesser appropriate needs incorporated. This study helps mobile developers and evaluators in evaluating mobile application for the deaf by ensuring the accessibility are measured accordingly.
Inferring And Tracking User Interest In Web-Based Social Network

: Web-based social networking services (SNS) allow people to connect across political and geographic boundaries who share interests and activities. Online social network services (SNSs) as Twitter have recently been highlighted as a means of understanding the implicit interest of users from the abundance of online information. This research aims at tracking Twitter users' interests, which has become a matter of concern for all, from the government of a nation to the businesspersons from politicians to celebrities. Existing approaches for understanding user intentions and interests mainly focus on finding the interest depending on the tweets and whom they follow. The level of interest of the user does not necessarily depend on who they are following and what they tweet each time. This may result in inaccuracy in predicting the interest of users. This research outlines the topics of interest derivation by tracking the Twitter micro-blogging considering other degrees (such as time, activeness of the user) that affect Twitter user's interest. It also provides a framework to set the interest rate and rank the user using the proposed architecture. Experimental results reveal that the topics of interest deduced by the proposed method outperforms those topics inferred by models (Labeled LDA) on tweets. This research certainly speculates the user's interest in Twitter correctly; more studies are needed to speculate the user's interest providing the Twitter user's geographical impact.
PHYTOCHEMICAL AND PHARMACOLOGICAL REVIEW OF SIBR (ALOE BARBADENSIS)

Sibr , Aloe barbadensis is a medicinal plant which has been used for thousands of years in Unani system of medicine. The health benefits of aloe vera are well known and accepted to scholars and researchers today. The genus Aloe has more than 400 species but few, such as A. vera , Aloe ferox , and Aloe arborescens are globally used for trade. Therapeutic uses are in diseases of head, ear, nose and throat, conjunctivitis, ulcers, tonsillitis, gastro-intestinal tract diseases, piles, skin diseases, malignant ulcers etc., in this system of medicine since centuries. The present review summarizes the pharmacological actions, therapeutic benefits and phytochemical constituents in
An introduction to the theory of unconditionally secure message authentication using the constructive cryptography framework

We provide an introduction to certain ideas from the theory of uncon-ditionally secure message authentication. We explain the notions of impersonation and substitution attacks, and explain how protection against these two types of attack implies composable, information theoretic security. We explain the relation of authentication protocols to universal hashing. We give both probabilistic and explicit constructions proving the existence of one way authentication protocols using a short secret key and we prove matching lower bounds on the required secret key size. Then, we turn attention to interactive authentication protocols. We explain the message size reduction technique used by Gemmell and Naor and later Naor, Segev and Smith, and how it leads to protocols with secret key size independent of the message length. We also prove a matching lower bound on the secret key entropy. We generalize the lower bound proof of Naor, Segev and Smith and remove the assumption that the message is revealed in the ﬁrst ﬂow of the protocol.
Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists (Supplementary Materials)

The supplementary materials contain additional details to comple-ment the main paper “Multiple Systems Estimation for Sparse Capture Data: Inferential Challenges when there are Non-Overlapping Lists”. In particular, the document provides: additional information and details for the simulation carried out to investigate the asymptotic likelihood theory that supports Section 2.5 of the main paper; the UK and Netherlands data sets, used as empirical examples; justiﬁcation of
Selection of Moment Vectors in Protein Sequence Comparison Under Binary Representation

Similarity/dissimilarity study of protein and genome sequences remains a challenging task and selection of techniques and descriptors to be adopted, plays an important role in computational biology. Again, genome sequence comparison is always preferred to protein sequence comparison due the presence of 20 amino acids in protein sequence compared to only 4 nucleotides in genome sequence. So it is important to consider suitable representation that is both time and space e�cient and also equally applicable to protein sequences of equal and unequal lengths. In the binary form of representation, Fourier transform of a protein sequence reduces to the transformation of 20 simple binary sequences in Fourier domain, where in each such sequence, Perseval’s Identity gives a very simple computable form of power spectrum. This gives rise to readily acceptable forms of moments of different degrees. Again such moments, when properly normalized, show a monotonically descending trend with the increase in the degrees of the moments. So it is better to stick to moments of smaller degrees only. In this paper, descriptors are taken as 20 component vectors, where each component corresponds to a general second order moment of one of the 20 simple binary sequences. Then distance matrices are obtained by using Euclidean distance as the distance measure between each pair of sequence. Phylogenetic trees are obtained from the distance matrices using UPGMA algorithm. In the present paper, the datasets used for similarity/dissimilarity study are 9 ND4, 16 ND5, 9 ND6, 24 TF proteins and 12 Baculovirus proteins. It is found that the phylogenetic trees produced by the present method are at par with those produced by the earlier methods adopted by other authors and also their known biological references. Further it takes less computational time and also it is equally applicable to sequences of equal and unequal lengths.
Analysis of tradeoffs between threats of invasion by nonnative trout and intentional isolation for 1 native westslope cutthroat trout 2 3

Analysis of tradeoffs between threats of invasion by nonnative trout and intentional isolation for 1 native westslope cutthroat trout 2 3 Douglas P. Peterson 4 US Fish and Wildlife Service, 585 Shepard Way, Helena, MT 59601, USA, 5 doug_peterson@fws.gov 6 7 Bruce E. Rieman and Jason B. Dunham 8 Rocky Mountain Research Station, Boise Aquatic Sciences Laboratory, 9 Suite 401, 322 E. Front St., Boise, ID 83702, USA 10 11 Kurt D. Fausch 12 Department of Fishery, Wildlife and Conservation Biology, Colorado State University, 13 Fort Collins, CO 80523, USA, kurtf@warnercnr.colostate. edu 14 15 Michael K. Young 16 Rocky Mountain Research Station, Forestry Sciences Lab 17 800 East Beckwith Avenue, Missoula, MT 59801, USA 18 mkyoung@fs.fed. us 19 July 11, 2007 20 Running head: Tradeoffs between invasion and isolation 21
OPTH_A_336903 4455..4465

1Singapore National Eye Centre, Singapore; 2Singapore Eye Research Institute, Singapore; 3Duke-NUS Medical School, Singapore; 4Department of Ophthalmology, Edward S. Harkness Eye Institute, Columbia College of Physicians and Surgeons, New York, NY, USA; 5Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore Purpose: To investigate features of the steady-state pattern electroretinogram (ssPERG) in subjects with glaucoma (G), high myopia (HM; spherical equivalent ≤-6D) and glaucoma with high myopia (GHM). Patients and Methods: Our study included 48 participants divided into 3 groups (G, HM, and GHM) who each underwent monocular ssPERG testing with Diopsys NOVA PERG protocols. The ConStim protocol detects distinct topographic patterns of dysfunction 16° and 24° around the central macula. MagD is the amplitude of the average signal and MagD/Mag ratio indicates the consistency of the response. ssPERG indices were compared between groups and correlated with functional (ie, visual field mean deviation (VFMD)) and structural (ie, average retinal nerve fibre layer (RNFL) thickness; Cirrus optical coherence tomography) features. Results: Participants had an average age of 59.4±7.6 years. Mean Humphrey VFMD was −14.22 ± 2.88dB, −2.62 ± 1.18dB and −12.80 ± 2.60dB for G, HM and GHM groups, respectively. Mean RNFL thickness was 63.0 ± 8. 20μm, 69.5 ± 15. 7μm and 60.6 ± 5. 0μm for G, HM and GHM groups, respectively. For the 24° setting, no significant differences were noted for any of the parameters. For the 16° setting, MagD was lower in the GHM group compared to the HM group (0.29μV vs 0.52μV; p = 0.02). Significant differences were noted for the MagD/Mag ratio between HM and G groups (0.58 vs 0.40; p = 0.02) and between HM and GHM groups (0.58 vs 0.35; p = 0.002). There were positive correlations between both MagD 16° and MagD/Mag ratio 16° with VFMD (correlation coefficient [r]=0.37, p = 0.009; and r = 0.44, p = 0.002, respectively) and RNFL (r = 0.43, p = 0.002; and r = 0.48, p = 0.001, respectively). Conclusion: MagD/Mag ratio at 16° was significantly lower in glaucomatous eyes (with or without high myopia) compared to those with high myopia without glaucoma, suggesting that glaucoma has a distinct impact on MagD/Mag ratio at 16° irrespective of the presence of myopia.
PUBLIC SECTOR EMPLOYMENT?

How does government spending affect total output or output growth? At the theoretical level the relationship is a priori ambiguous. On the one hand, one can argue for a positive relationship due to the direct and/or indirect productivity effects of government investments in infrastructure. On the other hand, the relationship may be negative due to distortionary taxation which is used to finance government expenditure or due to the crowding out of investment and/or output in the private sector. It is reasonable to argue that the relationship between output and government expenditures may be non-linear; when government size is “small enough”, the positive productivity effects will quite likely dominate, while the distortionary and crowding out effects start to dominate when government size becomes “large enough”.
Gas phase Elemental abundances in Molecular cloudS (GEMS)

Context. Carbon monosulphide (CS) is among the most abundant gas-phase S-bearing molecules in cold dark molecular clouds. It is easily observable with several transitions in the millimeter wavelength range, and has been widely used as a tracer of the gas density in the interstellar medium in our Galaxy and external galaxies. However, chemical models fail to account for the observed CS abundances when assuming the cosmic value for the elemental abundance of sulfur. Aims. The CS+O → CO + S reaction has been proposed as a relevant CS destruction mechanism at low temperatures, and could explain the discrepancy between models and observations. Its reaction rate has been experimentally measured at temperatures of 150−400 K, but the extrapolation to lower temperatures is doubtful. Our goal is to calculate the CS+O reaction rate at temperatures <150 K which are prevailing in the interstellar medium. Methods. We performed ab initio calculations to obtain the three lowest potential energy surfaces (PES) of the CS+O system. These PESs are used to study the reaction dynamics, using several methods (classical, quantum, and semiclassical) to eventually calculate the CS + O thermal reaction rates. In order to check the accuracy of our calculations, we compare the results of our theoretical calculations for T ~ 150−400 K with those obtained in the laboratory. Results. Our detailed theoretical study on the CS+O reaction, which is in agreement with the experimental data obtained at 150–400 K, demonstrates the reliability of our approach. After a careful analysis at lower temperatures, we find that the rate constant at 10 K is negligible, below 10−15 cm3 s−1, which is consistent with the extrapolation of experimental data using the Arrhenius expression. Conclusions. We use the updated chemical network to model the sulfur chemistry in Taurus Molecular Cloud 1 (TMC 1) based on molecular abundances determined from Gas phase Elemental abundances in Molecular CloudS (GEMS) project observations. In our model, we take into account the expected decrease of the cosmic ray ionization rate, ζH2, along the cloud. The abundance of CS is still overestimated when assuming the cosmic value for the sulfur abundance.
A COLLECTIVE HOUSEHOLD MODEL OF TIME ALLOCATION

Although the number of immigrant households in the Netherlands is substantial, the labor supply choices of this group are usually neglected in empirical studies because these households are usually under-sampled. We use a stratified sample of Turkish, Surinamese/Antillean and Dutch households that enables us to discuss how two-earner households allocate their time to different activities. In order to do so, we empirically estimate a collective household labor supply model. The main findings are that: (1) Leisure and household income are the most important variables in the utility function of the male; (2) Leisure, total household production and total household production interacted with family size are important variables in the utility function of the female. The latter two are especially important for Turkish and Surinamese/Antillean females; (3) The utility of Turkish and Dutch males weighs slightly more than the utility of the partner in the household utility function. For Surinamese/Antillean families we find the opposite; (4) Utility weighting depends on the presence of children and on the hourly wage rates of both partners; (5) The labor supply curve is forward bending for both male and female in terms of their own wage. The labor supply curve is backward bending for both male and female in terms of the partners wage. We find this for all household types; (7) The presence of (more) children reduces the hours of labor supplied by women and increases the number of hours supplied by men. JEL Code: D12, D13, J22.
Microsoft Word-nwab091.docx

Academy of Sciences, Beijing 100085, China 5 College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China 6 School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China 7 School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China 8 School of Resources and Environmental Economics, Inner Mongolia University of Finance and Economics, Hohhot