Miracle-dz/UniFAR-FTUs huggingface dataset:
Later Surgical Start Time is Associated with Longer Length of Stay and Higher Cost In Cervical Spine Surgery.

STUDY DESIGN Retrospective study of a surgical cohort from a single, large academic institution. OBJECTIVE To investigate associations between surgical start time, length of stay, cost, perioperative outcomes, and readmission. SUMMARY OF BACKGROUND DATA One retrospective study with a smaller cohort investigated associations between surgical start time and outcomes in spine surgery and found that early start times were correlated with shorter length of stay. No examinations of perioperative outcomes or cost have been performed. METHODS All patients undergoing anterior cervical discectomy and fusion (ACDF) and posterior cervical decompression and fusion (PCDF) were queried from a single institution from January 1 2008 to November 30, 2016. Patients undergoing surgery that started between 12:00 AM and 6:00 AM were excluded due to their likely emergent nature. Cases starting before and after 2:00 PM were compared on the basis of length of stay and cost as the primary outcomes using multivariable logistic regression. RESULT The patients undergoing ACDF and PCDF were both similar on the basis of comorbidity burden, preoperative diagnosis, and number of segments fused. The patients undergoing ACDF starting after 2 PM had longer LOS values (adjusted difference of 0.65 days; 95% confidence interval [CI]: 0.28 - 1.03; p = 0.0006) and higher costs of hospitalization (adjusted difference of $1,177; 95% CI: $549 - $1,806; p = 0.0002) (Table 2). Patients undergoing PCDF starting after 2 PM also had longer LOS values (adjusted difference of 1.19 days; 95% CI: 0.46 - 1.91; p = 0.001) and higher costs of hospitalization (adjusted difference of $2,305; 95% CI: $826 - $3,785; p = 0.002). CONCLUSIONS Later surgical start time is associated with longer LOS and higher cost. These findings should be further confirmed in the spine surgical literature to investigate surgical start time as a potential cost-saving measure. LEVEL OF EVIDENCE 3.
How Employee’s Leadership Potential Leads to Leadership Ostracism Behavior: The Mediating Role of Envy, and the Moderating Role of Political Skills

Recently, research on the leadership potential of employees has gradually attracted the attention of scholars. However, further exploration is required to better understand the upward influence of employee’s leadership potential on their leaders. This study examined the mechanisms behind the impact of employee’s leadership potential on leadership ostracism behavior. Moreover, the mediating role of leader’s envy and the moderating role of employee’s political skills in the relationship between employee’s leadership potential and leadership ostracism behavior were investigated. The results of an empirical analysis of 221 employee–leader pairs, studied over multiple periods, are as follows: employee’s leadership potential had a significant positive impact on leader’s envy and leadership ostracism behavior; leader’s envy had a significant positive impact on leadership ostracism behavior; and leader’s envy mediated the relationship between leadership potential and leadership ostracism behavior. In addition, employee’s political skills negatively moderated the indirect effect of leadership potential on leadership ostracism behavior through leader’s envy. The leadership potential of employees with more political skills appeared to have less influence on organizational ostracism via leader’s envy. This study explored the “dark-side” of employee’s leadership potential by understanding its impact on their leaders; the findings have theoretical and practical significance for companies.
O gênero Inga Mill. (Leguminosae - Mimosoideae) no estado do Paraná, Brasil

Taxonomic treatment of the genus Inga in Parana state, Brazil, was based on field work, herbaria materials and consultation of the literature concerning the genus Inga available up to now. Twelve taxa of the genus are presented, including 10 species and 2 subspecies: I. barbata Benth. , I. edulis Mart. , I. edwallii (Harms.) T. D.Penn. , I. laurina (Sw.) Willd. , I. lentiscifolia Benth. , I. marginata Willd. , I. sellowiana Benth. , I. sessilis (Vell.) Mart. , I. striata Benth. , I. subnuda subsp. luschnathiana (Benth.) T. D. Penn. , I. vera subsp. affinis (DC) T. D. Penn. and I. virescens Benth. An identification key, descriptions and illustrations of Inga taxa from the study area are presented. Additional information on geographic distribution, habitat, flowering and fruiting period and conservation status in their natural habitat in Parana state are provided.
Glial cell line‐derived neurotrophic factor alters lipid composition and protein distribution in MPP+‐injured differentiated SH‐SY5Y cells

Parkinson's disease (PD) is a neurodegenerative disease characterized by progressive loss of dopaminergic neurons in the substantia nigra and striatum. Glial cell line‐derived neurotrophic factor (GDNF) can effectively promote the differentiation and survival of many types of neurons, especially dopaminergic neurons, suggesting it could be a treatment for PD. Lipid rafts are highly dynamic cell membrane domains that contain numerous signal protein receptors, providing an important platform for signal transduction. Compelling evidence indicates that alterations in lipid rafts are associated with PD, and some studies have reported that GDNF can regulate the expression of caveolin‐1, a lipid raft‐marker protein. However, the precise effects of GDNF on lipid rafts remain unknown. We developed a cellular PD model, purified detergent‐resistant membranes (membrane rafts), and performed proteomic and lipid metabolomics analyses to examine changes in lipid rafts after GDNF treatment. The results showed considerable protein and lipid alterations in response to GDNF, especially altered levels of dopamine‐β‐hydroxylase, heat shock 70 kDa protein, neural cell adhesion molecule, cytoskeletal proteins, and long‐chain polysaturated/unsaturated fatty acids. These findings reveal a new avenue to explore the relationships between GDNF, lipid rafts, and PD and support the hypothesis that GDNF may be a useful treatment for PD.
Genomic profile of maize response to Aspergillus flavus infection

The opportunistic pathogen Aspergillus flavus infects important seed crops, including corn, peanuts, and cotton. A. flavus is capable of producing mycotoxins called aflatoxins. Aflatoxin B1, the major mycotoxin contaminant of maize, is a potent carcinogen and has been directly linked to hepatocellular carcinoma. Natural sources of maize fungal resistance exist, but efforts to increase resistance through traditional plant breeding have yielded little success. Using the maize Unigene 1-1.05 arrays, a comparison of resistant (Mp313E) and susceptible (Va35) inbred maize lines 48 hours post-A. flavus infection identified 236 genes as significant. During infection, 135 genes were up-regulated in the susceptible maize line Va35, 112 genes were up-regulated in the resistant maize line Mp313E, 12 genes were up-regulated in both lines, and 1 gene was down-regulated in both lines compared to uninfected lines. Comparisons of the biological profile responses of these maize lines revealed a striking difference in reaction to infection. These identified genes will serve as the initial step for developing molecular markers to understand this complex interaction and help with introgression of A. flavus resistance into maize hybrids.
The Diagnostic Value of Serum L1CAM in Patients With Colorectal Cancer

Objective: Colorectal cancer is one of the most important malignant cancer in the world with high incidence and mortality. Some studies have found that the expression of low serum L1 cell adhesion molecule is associated with poor prognosis in some malignancies. It is suggested that L1 cell adhesion molecule is a candidate serum marker for certain tumors. However, the relationship between serum L1 cell adhesion molecule and colorectal cancer, especially about the diagnostic value, is rarely reported. Therefore, this study aimed to evaluate the diagnostic potential of serum L1 cell adhesion molecule in patients with colorectal cancer. Methods: Enzyme-linked immunosorbent assay was carried out to detect L1 cell adhesion molecule level in sera of 229 patients with colorectal cancer and 145 normal controls. Receiver operating characteristic curves were employed to calculate the accuracy of diagnosis. Results: The levels of serum L1 cell adhesion molecule in the colorectal cancer group were significantly lower than that in normal controls (P < .05). In the normal group, the area under the receiver operating characteristic curve (area under the curve) of all colorectal cancer was 0.781 (95% confidence interval: 0.734-0.828) and early-stage colorectal cancer was 0.764 (95% confidence interval: 0.705-0.823). With optimized cutoff of 17.760 ng/mL, L1 cell adhesion molecule showed certain diagnostic value with specificity of 90.3% and sensitivities of 43.2% and 36.2% in colorectal cancer and early-stage colorectal cancer, respectively. Clinical data analysis showed that the levels of L1 cell adhesion molecule were significantly correlated with gender (P < .05) and early and late stages (P < .05). Furthermore, when compared with carcinoembryonic antigen, serum L1 cell adhesion molecule had significantly improved diagnostic accuracy for both colorectal cancer and early-stage colorectal cancer. Conclusions: Our study demonstrated that serum L1 cell adhesion molecule might be served as a potential biomarker for the diagnosis of colorectal cancer.
A Method of Abnormal Behavior Classification in Mobile Internet

With the large-scale employment of mobile internet, more mobile abnormal behaviors appear and are a great threat to the security of mobile users. Since many of those are unprecedented and unknown, it is difficult to classify these abnormal behaviors from normal behaviors by use of existing security application. In this article, a new method is proposed to classify and detect the abnormal behaviors in mobile internet. Firstly three classifiers are designed to divide all of the normal and abnormal mobile internet behaviors based on the characteristics of these behaviors. These three network behavior classifiers are trained by the known abnormal behaviors and normal behaviors data of mobile internet respectively. The algorithm of these classifiers is an improved multi-category Naïve Bayesian algorithm. Those classifiers analyze the corresponding type of network behaviors to detect the new abnormal behaviors. A self-learning procedure is adopted to gradually optimize those classifiers for different behavior. A mobile abnormal behaviors analysis system based on the above behavior classifiers is described.
Inequality Within the EU-15 Countries: Have Social Benefits Been Pro-poor, Pro-middle Class or Pro-rich?

This study utilizes static and dynamic panel models in investigating the impact of social benefits on the aggregate level of income inequality as well as on the income shares of different income groups within the EU-15 countries over the period 1995-2015. While the static panel regression models are estimated with Pooled Ordinary Least Squares (POLS) and Least Squares Dummy Variables (LSDV) techniques, the dynamic panel regressions are estimated using dynamic GMM-IV technique. Diagnostic tests indicate that the results from the GMM-IV technique are consistent and the associated instrumental variables are valid; hence this study gives preference to the results from this technique. The results indicate that social benefits generally have a significantly negative impact on the aggregate level of inequality, a positive impact on the income shares of the low and middle income groups, and a negative impact on the income shares of the high income groups. In the long run, the sign and significance of the parameter estimates remain unchanged but their sizes increase considerably. This research considers a variety of theories and finds that there exists much ambiguity in the theoretical literature. Based on its findings, this study recommends that policymakers address rising income inequality by intensifying efforts towards raising social benefits and ensuring that the welfare system is efficiently managed.
The Digestibility of Corn Cannery Refuse

Summary Large amounts of corn cannery refuse are allowed to waste but if proper methods of storage and handling were instituted a considerable amount of valuable feed could be saved as 1 ton of corn cannery refuse and 5 bushels of corn are apparently of about the same feeding value as 1 ton of good corn silage.
Survey On Inertial Measurement Units

Inertial Measurement Units (IMU) are one of the emerging technologies in the area of smart sensors. This paper gives a general overview about the inertial sensors and their usage in different domains like healthcare, green technology, navigation and sports. This literature investigation elaborates various techniques and algorithmic principles that are employed with the IMU. This includes comparison of different kinds of data analysis methods and its importance towards each application. This review work also perceives about the challenges that could be encountered during the real time implementation of Inertial sensors. In addition to that, the advantages and limitations of the algorithms used alongside with the above mentioned domain applications were added as the main note. Finally, few considerations for choosing IMU types for different categories of applications were also summarized.
Incrementalization of graph partitioning algorithms

This paper studies incremental graph partitioning. Given a (vertex-cut or edge-cut) partition C(G) of a graph G and updates ΔG to G, it is to compute changes ΔO to C(G), yielding a partition of the updated graph such that (a) the new partition is load-balanced, (b) its cut size is minimum, and (c) the changes ΔO are also minimum. We show that this tri-criteria optimization problem is NP-complete, even when ΔG has a constant size. Worse yet, it is unbounded, i.e., there exists no algorithm that computes such ΔO with a cost that is determined only by the changes ΔG and ΔO. We approach this by proposing to incrementalize widely-used graph partitioners A into heuristically-bounded incremental algorithms AΔ. Given graph G, updates ΔG to G and a partition A(G) of G by A, AΔ computes changes ΔO to A(G) such that (1) applying ΔO to A(G) produces a new partition of the updated graph although it may not be exactly the one derived by A, (2) it retains the same bounds on balance and cut sizes as A, and (3) ΔO is decided by ΔG alone. We show that we can deduce AΔ from both vertex-cut and edge-cut partitioners A, retaining their bounds. Using real-life and synthetic data, we verify the efficiency and partition quality of our incremental partitioners.
Closed form solution for radial distortion estimation from a single vanishing point 1

We focus on the estimation of radial lens distortion utilizing vanishing points detected in single images. Recent methods for vanishing point detection either ignore radial distortion completely, or assume only weak distortion, which is accounted for after vanishing point estimation. Unfortunately, if strong radial distortion is present the effects are detrimental to the extraction of vanishing points and such algorithms are bound to fail. To overcome this limitation, we suggest a closed-form solution for the problem of simultaneously estimating a single vanishing point and radial distortion from three distorted image lines. By utilizing our solver in a RANSAC-like algorithm, we arrive at a uniﬁed camera calibration approach, which in addition to stably estimating radial distortion, computes the camera’s focal length if at least two orthogonal vanishing points are present. Based on extensive experiments we show that our approach presents a signiﬁcant contribution to the state-of-the-art in camera self-calibration from single images.
Evading Intrusion and Protection for Patient Information in Electronic Health Records System

: Cloud computing is a rising as additional processing worldview in the medical part other than different business. Storing the medical information in cloud makes the treatment effective by recovering patient's medical history from the database. This framework gives a situation where patient's records are stored and it will be referenced by the specialists to improve the efficiency of the treatment. This handles the medical history of every person of the nation and gives access to every single enlisted hospital to peruse or refresh the information. The hospital which accesses the database must be enlisted and more likely than not got a permit. Also, even any hospital staff can peruse paper documents which shouldn't be seen, as long as they have physical access to the record. So in this work, an endeavor is made to give top of the line security to the patient's delicate information. At whatever point the patient go for a treatment, their medical information will be stored into the database utilizing their recognizable proof number. We propose a plan to help undertakings to effectively share secret information on cloud servers utilizing Hierarchical attribute based encryption algorithm.
Effect of multiple vs. single preovulatory follicle on oocyte quantity and quality and 'in vitro' maturation of goat oocytes

The present study was conducted to investigate the effects of multiple vs. single preovulatory follicle on oocyte quantity and quality and in vitro maturation of goat oocytes. Slaughtered goat ovaries were collected and ranked into 2 types according to the number of preovulatory follicles on their surface: Type I (with multiple preovulatroy follicles, ≥ 2 follicles), Type II (with single preovulatory follicle). The number of goat oocytes retrieved from follicles (2–6 mm O) was recorded for each ovarian type. The released immature goat oocytes were scored for cumulus - oocyte cell adhesion into one of 3 grades (C+; cumulus - enclosed oocytes, C+/-; cumulus partially enclosed oocytes, C−; cumulus - free oocytes). Grade C+ and grade C+/ were matured in tissue culture media (TCM -199) supplemented with 10% Fetal Calf Serum for 30 h in CO2 incubator at 38.5oC and 95% humidity. The results indicated that a greater number of aspirated oocytes were found in type I than type II. The number of Grade C+ and Grade C+/- oocytes in Type I was significantly higher (P < 0.05) than type II. The in vitro maturation rate of oocytes recovered from goat ovaries was non significantly different in both types but the number of cumulus - full expanded oocytes (CE+) appeared to be higher in ovaries having multiple than single preovulatory follicle. In conclusion, higher quantity, quality and maturation rate of oocytes may produce in multiple preovulatory follicles of goat ovaries.
EFFECT OF ORGANOCHLORINE PESTICIDE, LINDANE ON THE ANTIOXIDANT ACTIVITY OF OREOCHROMIS

The impact of sub lethal acute toxicity of a synthetic organochlorine pesticide, Lindane on antioxidants activity of estuarine fish Oreochromis mossambicus was estimated. The median lethal concentration of lindane for 96 hrs was obtained as 0.82 ppm. In sub lethal treatments with the concentrations 1/5th, 1/10th& 1/15th of LC50 values (0.00546ppm, 0.0082ppm and 0.0164ppm respectively), antioxidants like superoxide dismutase and peroxidase increased whereas catalase activity decreased throughout the study period (7th and 14th day). Lindane, at its sub lethal concentration caused preternatural alterations on antioxidant activity in gill, hepatopancreas and muscle tissues of O. mossambicus. Observations of the enzyme activity showed that lindane has profound destructive effect on gill, hepatopancreas and muscle tissues. These alterations can be used to monitor the extent of pesticide contamination in the aquatic ecosystem. The modified activities of different antioxidant enzymes imply the activation of physiological mechanism to scavenge the reactive oxygen species produced by the toxicant exposure. The anti oxidant enzymes, superoxide dismutase, peroxidase and catalase can be used as biomarkers for non specific immune responses caused by acute exposure of pesticides or other similar aquatic pollutants. The study illustrated that lindane is harmful to O. mossambicus like aquatic organisms at sub lethal concentrations and application of pesticide close to bodies of water is dangerous threat to aquatic life.
Cone Purple Flower (Echinacea purpurea.) Effect on Respiratory ViralInfections (Brief Review Study): Could it be a Possible Solution to SARS-COV-2and Other Viral Infection Pandemic Lockdown?

Respiratory tract infections are the most frequently encountered illnesses in the world. It costs billion of US dollars every year to human kind. This costs include the medical ambulatorial care, medicines, costs of hospital stay for severe infections and the loss of work and school days. Estimated costs in the United States for the common cold are $40 billion per year and over $87 billion per year for influenza. Some viruses such as influenza A (H3N2 and H1N1) and influenza B can be avoided by mass immunization, however some common cold virus and coronavirus do not have an available vaccine yet, for this reason is important to find another ways of preventing this diseases or alleviate the course of malady in case of acute infection. The objective of this article is to investigate the potential of EP on acute viral respiratory disease treatment including the possibility of use against sars-cov-2 disease. Twelve different papers concerning this theme were found and selected in mesh database. This studies revealed that EP has an antiviral and immunomodulatory activity against membrane containing virus, for this reason it is a potential weapon in fight against SARS-COV-2, but some specific studies must be conducted to evaluate and prove this hypothesis.
A COMPARISON OF EPIDURAL LOCAL ANESTHETICS ADMINISTERED FOR THORACIC SURGERY: BUPIVACAINE VERSUS LEVOBUPIVACAINE

Aim: We aimed to compare the analgesic efficacy, hemodynamia, and side effects of epidural bupivacaine and levobupivacaine given preoperative, intraoperative, and postoperative periods of thoracic surgery. Materials and methods: Thirty adult patients undergoing elective thoracotomy were divided into two groups receiving thoracal epidural bupivacaine or levobupivacaine. Group I received bupivacaine, whereas Group II received levobupivacaine boluses both 15 min before surgical incision and during the closure of thorax. Continuous epidural infusion of fentanyl combined with either bupivacaine or levobupivacaine was given in intensive care unit. In addition, all patients received iv morphine bolus with patient controlled analgesia device. If shoulder pain persisted, diclofenac sodium was administered. Hemodynamic data, pain scores, and side effects were recorded from preoperative period to 24th hr of epidural infusion. Results: The difference in mean arterial pressures, heart rates, pain scores, and morphine consumptions were not significant between the groups (p > 0.05). Decrease in visual analog scale was statistically significant compared to the basal values within the groups during the postoperative period (p < 0.05). There were no serious side effects. Conclusion: Bupivacaine and levobupivacaine were found to be comparable in the analgesia, hemodynamia, and side effects for thoracic surgery. In combination with thoracic epidural fentanyl, a continuous infusion of levobupivacaine may be considered as a good alternative to bupivacaine.