Miracle-dz/UniFAR-FTUs huggingface dataset:
Shoehorn: Towards Portable P4 for Low Cost Hardware

Having a consistent application stack for hardware from multiple vendors allows operators to build simpler, more stable networks. However, due to the limitations of low cost, fixed-function networking hardware, creating portable controlplane software with current SDN standards requires accepting limited functionality, navigating inconsistent implementations, or using powerful, flexible hardware that is prohibitively expensive in many scenarios. This paper describes Shoehorn, a system for creating portable SDN control-plane software for low cost hardware. Shoehorn allows control-plane software to define a hardware-agnostic virtual pipeline in P4 that can be algorithmically translated to control diverse low-cost hardware without a significant impact on memory usage or the rate that tables can be updated. To demonstrate the effectiveness of Shoehorn, we created virtual pipelines for a variety of existing control-plane software, and mapped them to low cost hardware. We found that the virtual pipelines could be supported by hardware from multiple vendors in almost all cases.
Effect of Muscle Loss but Not Fat Loss during Primary Debulking Surgery and Chemotherapy on Prognosis of Patients with Ovarian Cancer

Although the negative effect of muscle loss during invasive treatment has been widely reported in patients with cancer, its value in patients with ovarian cancer is not clear. Therefore, this study was conducted to clarify whether muscle loss during cytoreductive surgery and chemotherapy affects prognosis in patients with ovarian cancer. We retrospectively recruited 58 patients with ovarian cancer who underwent site reductive surgery and chemotherapy at Shimane University Hospital from March 2006 to November 2013 and for whom pre- and postoperative computed tomography were available. Skeletal muscle changes and fat mass volume during primary debulking surgery and chemotherapy were subsequently investigated at the level of the third lumbar vertebra. Muscle and fat mass loss occurred independently in half of the patients. Muscle loss, but not fat loss, was associated with disease-free survival (p = 0.041 and p = 0.794, respectively) and poor overall survival (p = 0.033 and p = 0.61, respectively). Cancer therapy is invasive and causes compositional changes in the body, such as muscle and fat loss. During cancer therapy, muscle loss, but not fat loss, may be associated with worse prognosis in ovarian cancer.
deals with the fractionation of fluorescein-labeled rabbit serum by aid of gel filtration using a new type of cross-linked dextral' gel,. Sephadex G-200. Materials and methods Anti-bovine serum albumin (anti-BSA) was prepared in rabbits

Several attempts have been carried out to prepare fluoresceinlabeled gamma globulin from previously labeled whole serum by means of column chromatography (R i g g s et al., 1960 and Rinde rknec h t, 1962), in order to avoid the loss of the antibody activity during the time-consuming and vigorous treatment for the fractionation of gamma globulin from the antiserum. The report of Flo din (1962) and F 1 o d i n and Killander (1962) on the fractionation of human serum proteins by gel filtration in Sephadex G-200 is suggestive of a possible application of a similar experiment to the fractionation of rabbit serum (Y a s u d a et al., 1964). This report deals with the fractionation of fluorescein-labeled rabbit serum by aid of gel filtration using a new type of cross-linked dextral' gel,. Sephadex G-200.
Agris on-line Papers in Economics and Informatics

The aim of this article is to determine the impact of debt funding sources structure on liquidity of companies in food industry in the Czech Republic from 2006 to 2016. With the purpose to fulfill the aim, we examine existence and character of relationship between the debt funding sources structure (long-term loans, short-term loans, other long-term liabilities, other short-term liabilities, debt equity ratio) and liquidity of the companies (cash ratio, quick ratio and current ratio) in food industry in the Czech Republic. The relationship between debt funding sources structure and liquidity of companies is tested through correlation analysis, Granger causality test and generalized method of moments (GMM). The liquidity of companies was positively influenced by the long-term loans in companies (cash ratio and quick ratio) in food industry in the Czech Republic. The results also indicate that there is the negative impact of other current liabilities on liquidity of companies (cash ratio, quick ratio and current liquidity) in food industry in the Czech Republic.
The Mediation Role of Perceived Organizational Support in the Effect of Workplace Spirituality on Job Control and Organizational Citizenship

The purpose of the study is to research the effects of the variables of workplace spirituality and perceived organizational support on the variables of organizational citizenship and job control. Workplace spirituality is the existence in an organization of a culture that encourages the experiences of employees throughout job processes and that will gain them a desire to work. Job control expresses an employee’s perceived level of authority to make decisions, the opportunities to use their knowledge and skills, and the opportunities to participate in an event. Perceived organizational support is the situation where employees feel the organization's existence safely. The existence of workplace spirituality and organizational support at every organization makes employees a part of the organization and ensures job controls are healthy. A questionnaire comprising questions on a 5-point Likert scale was collected from 394 administrative personnel working at organizations (food companies) in the production sector. Within the scope of the research model, the data obtained were analyzed by IBM SPSS 25 and SPSS Process V3 plug-in. Validating factor analysis of Scale was carried out with the LISREL package program. As a result of the analysis, it was determined that workplace spirituality and perceived organizational support positively affect business control and organizational citizenship. In addition, perceived organizational support has a mediation role in the effect of workplace spirituality on job control and organizational citizenship.
11-12 Stimulates an Antiviral Type 1 Cytokine Response but Lacks Adjuvant Activity in IFN-y-Receptor-Deficient Mice

Cytokines can be used as adjuvants to enhance and direct protective immune responses induced by vaccines. IL-12, a cytokine that favors the maturation of Thl -type cells and stimulates associated cell-mediated responses was evaluated as immunologic adjuvant for a viral vaccine in a mouse challenge model. When it was administered together with inactivated pseudorabies virus, a herpes simplex virus related a-herpesvirus, increased production of IFN-y by ex vivo-stimulated splenocytes was observed as well as augmented production of antiviral serum IgG2a. This was associated with increased protection against a lethal challenge infection. Injection of 1FN-yneutralizing Ab reduced the increased antiviral resistance in IL-12-treated mice. Also, in mice bearing an inactivated IFN-y-receptor gene IL-12 failed to stimulate protection against challenge and the synthesis of antiviral IgG2a. However, in these IFN-y-receptor knockout mice, increased antiviral IgG2b levels and enhanced IFN--y secretion, with minimal IL-4 production, by ex vivo-stimulated splenocytes was observed. In wild-type mice administration of recombinant IFN-y but not IL-2 mimicked the immune-stimulating activity of IL-I 2; it is therefore likely that the IL-12 adjuvant activity is largely mediated by physiologic IFN-y. The Journal of Immunology, 1995, 155: 2525-2532.
Endothelial Dysfunction and Arterial Stiffness in Patients with Inflammatory Bowel Disease : A Systematic Review and

Population‐based studies have suggested that patients with inflammatory bowel disease (IBD) might be at an increased risk for cardiovascular diseases. A meta‐analysis was performed on clinical studies to evaluate endothelial function, arterial stiffness, and carotid intima‐media thick‐ ness (cIMT) in patients with IBD, after searching PubMed, Embase, Cochrane library, and Web of Science databases. A random‐effects model was used to allow for the pooling of studies and for determination of the overall effect. After exclusion, a total of 41 eligible studies with 2330 patients with IBD and 2032 matched controls were identified and included for the analysis. It was found that cIMT was significantly increased in patients with IBD as compared with that in matched controls (Cohen’s d: 0.63; 95% CI: 0.34, 0.93; I2 = 91.84%). The carotid–femoral pulse wave velocity was sig‐ nificantly higher in patients with IBD compared to that in matched controls (Cohen’s d: 0.76; 95% CI: 0.54, 0.98; I2 = 70.03%). The augmentation index was also significantly increased in patients with IBD compared to matched control subjects (Cohen’s d: 0.35; 95% CI: 0.08, 0.63; I2 = 61.37%). Brachial artery flow‐mediated dilatation was significantly decreased in patients with IBD than that in matched controls (Cohen’s d: −0.73; 95% CI: −1.10, −0.36; I2 = 81.02%). Based on the meta‐analysis, it was found that patients with IBD exhibit significant endothelial dysfunction, increased arterial stiff‐ ness, and cIMT. Thus, patients with IBD may benefit from aggressive risk stratification for cardio‐
NEMATICIDAL POTENTIAL OF SOME ESSENTIAL PLANT OILS AND YEAST · EXTRACT IN CONTROLLING Meloidogyne Incognita AND Rotylenchulus Reniformis

The nematicidal potential of clove Oil. black cumin oil, orange peels oil. lobacco (2% nicoline) and yeast exlracl were evaluated for controlling the root-knot nematode. Mefoidogyne incognita and the renifonn nematode. Rotylenchulus renifonnis infe<. :ing tomato plants cv. Batady uoder greenhouse conditions. All the trealed materials significantly reduced number of galls . immature slages. females. egg-laying females and lotal number of nematodes in tomato roots. The highest significant reduction was recorded in numbers of swollen and egg-laying females of R. reniformis on tomato rools . In most cases, the previous materials were more effective on Rotylenchulus reniformis than on Meloidcgyne incognita. -Yeast and tobacco extracts gave the greatest reduction on numbers of both species. There was a positive readion, in most cases, between essential oils, tobacco and yeast ex1ract treatments and tomato plant 9rowth_
Influence of driven current on resistive tearing mode in Tokamaks

The influence of driven current on the m/n=2/1 resistive tearing mode is studied systematically using a three-dimensional toroidal magnetohydrodynamic code. A uniform driven current with Gaussian distribution in the radial direction is imposed around the unperturbed rational surface. It is found that the driven current can locally modify the profiles of the current and safety factor, such that the tearing mode becomes linearly stable. The stabilizing effect increases with the increase of the driven current Icd or the decrease of its width δcd, unless an excessively large driven current reverses the magnetic shear near the rational surface and drives other instabilities such as double or triple tearing modes. The stabilizing effect can be negligible or becomes reversed if the maximum driven current density is not at the unperturbed rational surface.
Automated Detection of Password Leakage from Public GitHub Repositories

The prosperity of the GitHub community has raised new concerns about data security in public repositories. Practitioners who manage authentication secrets such as textual passwords and API keys in the source code may accidentally leave these texts in the public repositories, resulting in secret leakage. If such leakage in the source code can be automatically detected in time, potential damage would be avoided. With existing approaches focusing on detecting secrets with distinctive formats (e.g., API keys, cryptographic keys in PEM format), textual passwords, which are ubiquitously used for authentication, fall through the crack. Given that textual passwords could be virtually any strings, a naive detection scheme based on regular expression performs poorly. This paper presents PassFinder, an automated approach to effectively detecting password leakage from public repositories that involve various programming languages on a large scale. PassFinder utilizes deep neural networks to unveil the intrinsic characteristics of textual passwords and understand the semantics of the code snippets that use textual passwords for authentication, i.e., the contextual information of the passwords in the source code. Using this new technique, we performed the first large-scale and longitudinal analysis of password leakage on GitHub. We inspected newly uploaded public code files on GitHub for 75 days and found that password leakage is pervasive, affecting over sixty thousand repositories. Our work contributes to a better understanding of password leakage on GitHub, and we believe our technique could promote the security of the open-source ecosystem.
valuation and treatment of Cushing’s syndrome

Cushing’s syndrome results from sustained pathologic hypercortisolism caused by excessive corticotropin (ACTH) secretion by tumors in the pituitary gland (Cushing’s disease, 70%) or elsewhere (15%), or by ACTH-independent cortisol secretion from adrenal tumors (15%). The clinical features are variable, and no single pattern is seen in all patients. Those features most specific for Cushing’s syndrome include abnormal fat distribution, particularly in the supraclavicular and temporal fossae, proximal muscle weakness, wide purple striae, and decreased linear growth with continued weight gain in a child. Patients with characteristics of glucocorticoid excess should be screened with measurements of saliva or urine cortisol or dexamethasone suppression testing. The diagnosis of Cushing’s syndrome should be followed by the measurement of plasma ACTH concentration to determine whether the hypercortisolism is ACTH-independent. In ACTH-dependent patients, bilateral inferior petrosal sinus sampling with measurement of ACTH before and after administration of ACTH-releasing hormone most accurately distinguishes pituitary from ectopic ACTH secretion. Surgical resection of tumor is the optimal treatment for all forms of Cushing’s syndrome; bilateral adrenalectomy, medical treatment, or radiotherapy are sought in inoperable or recurrent cases. The medical treatment of choice is ketoconazole. The prognosis is better for Cushing’s disease and benign adrenal causes of Cushing’s syndrome than adrenocortical cancer and malignant ACTH-producing tumors. © 2005 Elsevier Inc. All rights reserved.
Characterizing A � acks on Deep Reinforcement Learning

Recent studies show that Deep Reinforcement Learning (DRL) models are vulnerable to adversarial attacks, which attack DRL models by adding small perturbations to the observations. However, some attacks assume full availability of the victim model, and some require a huge amount of computation, making them less feasible for real world applications. In this work, we make further explorations of the vulnerabilities of DRL by studying other aspects of attacks on DRL using realistic and e � cient attacks. First, we adapt and propose e � cient black-box attacks when we do not have access to DRL model parameters. Second, to address the high computational demands of existing attacks, we introduce e � cient online sequential attacks that exploit temporal consistency across consecutive steps. Third, we explore the possibility of an attacker perturbing other aspects in the DRL setting, such as the environment dynamics. Finally, to account for imperfections in how an attacker would inject perturbations in the physical world, we devise a method for generating a robust physical perturbations to be printed. The attack is evaluated on a real-world robot under various conditions. We conduct extensive experiments both in simulation such as Atari games, robotics and autonomous driving, and on real-world robotics, to compare the e � ectiveness of the proposed attacks with baseline approaches. To the best of our knowledge, we are the � rst to apply adversarial attacks on DRL systems to physical robots.
A new decade for social changes

The present study aims to identify the structure of coronavirus social representations in order to understand the stigmatization of people with Covid-19 and of healthcare personnel by populations in Abidjan. To do this, we have drawn up a sample made up of the unemployed, pupils and students and workers. There are 325 participants, including 177 men and 148 women, with an age that varies between 16 and 59 years. These people are subjected to the evocation questionnaire according to the structural approach of social representations (Abric, 1994). Analysis of the data using evoc2005 and simi2005 shows that the evocations "containment", "death" and "invention" constitute the main components (central core) of the social representations of coronavirus. These elements, which reflect a lived experience of negative feelings, will generate the construction of negative prejudices and common beliefs that encourage avoidance behaviours among participants to flee the feared situation. It takes place inward withdrawal and rejection of the other which constitutes for the individual a danger. Hence the stigmatization of people who visibly "embody" danger, death (the object of fear), namely people with Covid-19 and caregivers. The results therefore suggest that in the fight against Covid-19 the psychological aspect is also important and must be taken into account.
Effect Of 8-Week of Hospital-Based Resistance Train ing Program on TCD4+ Cell Count and Anthropometric Characteristic of HIV Pati en s in Tehran, Iran: A Randomized Controlled Trial

We examined the effects of an 8 w circuit resistanc e training (RES) program using elastic bands and body weight on TCD4+ cell counts and anthropome try in HIV patients. Patients (N=21) receiving antiretroviral therapy were randomly assi gned to resistance training (RES; n=14) or control group (CON; n=7) groups. RES (3/w) consiste d of training with elastic bands and bodyweight training focusing on major muscle groups . CON received standard care. Statistical analyses were performed using general linear models adjusted for age, gender, length of infection and respective baseline measures. The pri mary outcome was TDC4+ and secondary outcomes were anthropometry indices. Tertiary asses sm nts explored Pearson correlations surrounding the relationship between changes in ant hropometry and TDC4+. We observed significant increases in TCD4+ count accompanying R ES training (105.50 cells/mm3, 95% CI, 47.42, 163.59), while CON significantly decreased ( -41.01 cells/mm3, 95% CI, -126.78, 44.76). Significant between group differences were noted (P <0.02; n=0.42). We also observed significant reductions in fat mass for RES (1.18 kg , 95% CI, =1.80, -0.56) vs. increased fat mass for CON (1.21 kg, 95% CI, 0.31, 2.11). Significant between group differences were noted (P=0.001, n=0.64). Similar effects were noted for lean body ma ss. No significant changes were observed for body weight. Significant correlations were observed for fat mass (r = -0.699, P=0.001) and lean mass (r = 0.553, P=0.017), but no t body weight (r =-0.390, P=0.109) vs. changes in TDC4+. Our results suggest the RES progr am used in this study is effective for improving TDC4+ status and body composition in HIV patients.
Exploring Environmental Change for Down-Sampled Lexicase Selection

Down-sampling training data has long been shown to improve the generalization performance of a wide range of machine learning systems. Recently, down-sampling has proved effective in genetic programming (GP) runs that utilize the lexicase parent selection technique. Although this down-sampling procedure has been shown to significantly improve performance across a variety of problems, it does not seem to do so due to encouraging adaptability through environmental change. We investigate modifications to down-sampled lex-icase selection in hopes of promoting incremental environmental change to scaffold evolution by reducing the amount of jarring discontinuities between the environments of successive generations. In our empirical studies, we find that promoting environmental change by rolling the down-sample across the entire training set is not significantly better for evolving solutions to program synthesis problems than simple random down-sampling. We also find that going in the other direction by using only disjoint down-samples also does not significantly differ from the performance of regular random down-sampling. These results highlight some new insights into the role of environmental change for down-sampled lex-icase selection, and present a viable new direction for future research.
THE OCCURRENCE OF BILATERAL CRYPTORCHIDISM IN CATS

Cryptorchidism is a reproductive alteration in males, characterized by the absence of displacement of one or both testicles from the abdominal cavity to the scrotum. The diagnosis must be made through visual inspection and careful palpation of the scrotum. A male cat, six months old, SRD, weighing 2.7 kg, was seen at a Veterinary Clinic in Arapiraca/AL, weighing 2.7 kg, for a routine medical consultation. Upon palpation, when walking the physical examination, it was observed that the patient did not have testicles in the scrotum. The treatment of choice for cryptorchidism in this case was bilateral castration, mainly due to the fact that the pathology is hereditary. The occurrence of bilateral cryptorchidism is not common in cats, being of multifactorial etiology little described in this species due to the absence of clinical signs, compromising the animal's fertility, passing unnoticed by the owner and being little discussed in the literature.
Automated Handling of Anaphoric Ambiguity in Requirements: A Multi-solution Study

Ambiguity is a pervasive issue in natural-language requirements. A common source of ambiguity in requirements is when a pronoun is anaphoric. In requirements engineering, anaphoric ambiguity occurs when a pronoun can plausibly refer to different entities and thus be interpreted differently by different readers. In this paper, we develop an accurate and practical automated approach for handling anaphoric ambiguity in requirements, addressing both ambiguity detection and anaphora interpretation. In view of the multiple competing natural language processing (NLP) and machine learning (ML) technologies that one can utilize, we simultaneously pursue six alternative solutions, empirically assessing each using a col-lection of ≈1,350 industrial requirements. The alternative solution strategies that we consider are natural choices induced by the existing technologies; these choices frequently arise in other automation tasks involving natural-language requirements. A side-by-side em-pirical examination of these choices helps develop insights about the usefulness of different state-of-the-art NLP and ML technologies for addressing requirements engineering problems. For the ambigu-ity detection task, we observe that supervised ML outperforms both a large-scale language model, SpanBERT (a variant of BERT), as well as a solution assembled from off-the-shelf NLP coreference re-solvers. In contrast, for anaphora interpretation, SpanBERT yields the most accurate solution. In our evaluation, (1) the best solution for anaphoric ambiguity detection has an average precision of ≈60% and a recall of 100%, and (2) the best solution for anaphora interpretation (resolution) has an average success rate of ≈98%.