Miracle-dz/UniFAR-FTUs huggingface dataset:
Opercular girth, maximum girth and total length 910 relationships for eight fish species from the Saros Bay

This study was carried out to uncover the relationship 920 between opercular girth (G ope ), maximum girth (G max ) and 921 total length (TL) for eight fish species [( Sardina pilchardus 922 (Walbaum, 1792) , Sardinella aurita (Valenciennes, 1847) , 923 Serranus cabrilla 1758) , Serranus scriba 924 (Linnaeus, 1758) , Symphodus mediterraneus (Linnaeus, 925 1758) , Symphodus tinca 1758), Trachurus 926 mediterraneus 1868), and Trachurus 927 trachurus (Linnaeus, 1758)] from four families (Carangidae, 928 Clupeidae, Labridae, and Serranidae) sampled between 929 August 2016 and December 2017 in Saros Bay (Northern 930 Aegean Sea, Turkey). G ope and G max were found to increase 931 linearly with the total length for all the species. All r 2 values 932 were statistically significant ( r 2 > 0.83, P < 0 . 001). The values 933 about length-girth relationships (LGRs) of S. mediterraneus 934 were estimated for the first time worldwide. This information 935 will contribute to the development of ecosystem-based 936 fisheries management. 937 938
Attitudes and Barriers towards Continuing Professional Development among Physiotherapists in South-Eastern Nigeria

Continuing professional development (CPD) programmes are important components of professional training to maintain competence. There is insufficient information regarding physiotherapists’ participation in CPD activities in South-Eastern Nigeria. This study aimed to determine the attitude and barriers towards CPD among Physiotherapists in South-Eastern Nigeria. A cross-sectional survey involving 104 clinical Physiotherapists. A self-developed, content validated (CVI = 4.21) and reliable questionnaire (Split Half = 0.83) with 5 domains and 46 items that assessed the types of CPD activities, attitudes, barriers and benefits of physiotherapists towards continuing professional development (CPD) was used. Ethical approval was sought and obtained from the Health and Research Review Board of the University of Nigeria Teaching Hospital (UNTH), Enugu. Data was analyzed using descriptive statistics and Chi-square at α = 0.05. A total 104 Physiotherapist, mostly male (53.8%), and aged ≤ 40years (81.7%) participated in this study. They were most likely to attend seminars, congress or scientific meetings/conferences (92.3%), and take part in a research work/ journal publication (76.0%) as CPDs. Majority of them disagreed that topics/subjects of specialization (72.1%) and professional burnout (66.3%) were the barriers to CPDs. Primary place of work was significantly associated with each of CPD activities (X2 = 17.77, p < 0.001), CPD benefits (X2 = 7.48, p = 0.024), and CPD barriers (X2 = 8.23, p = 0.016). There was also a significant association between gender and CPD benefits (X2 = 6.34, p = 0.042), and CPD barriers (X2 = 7.43, p =0.006). Physiotherapists in the Southeastern region of Nigeria have a good attitude towards CPDs. Primary place of work and gender are significantly associated with some measures of CPD activities, benefits of CPD and barriers to CPDs.
Homogenizing Swiss snow depth series - Impact on decadal trends and extremes

Our current knowledge on snow depth trends is based almost exclusively on these non-homogenized data.Long-term observations of deposited snow are well suited as indicator of climate change. However, like all other long-term observations, they are prone to inhomogeneities that can influence and change trends if not taken into account. We investigated the effects of removing inhomogeneities in the large network of Swiss snow depth observations on trends and extreme values of commonly used snow indices, such as snow days, seasonal averages or maximum snow depth in the period 1961-2021. For this task, three 5 homogenization methods were applied: Climatol and HOMER, which use a median based adjustment method, and interpQM, which applies quantile based adjustments. All three were run using the same break points and input data. This allowed us to investigate and quantify the effects of these methods on the homogenization results. We found that all three methods agree well on trends in seasonal average snow depth, while differences are visible for seasonal maximum snow depth and the corresponding extreme values. Here, the quantile-based method performed slightly better than the two median-based methods, 10 as it had the smallest number of stations outside the 95 % confidence interval for 50-year return periods of maximum snow depth. These differences are mainly caused by the way the reference series are selected. The combination of are retrieved from either daily homogenized HS aggregated into seasonal HSmax (interpQM) or monthly homogenized HSmax (HOMER and Climatol). Trends and R50HSmax for the subset are then compared across the methods. Climatol automatically fills in missing values, thus artificially increasing the length of the series. However, for the trend analysis, only the time period available in the original series are considered for the homogenized data in order to make it comparable. ACMANT, being fully automatic, does not allow for manual break point input and was therefore not used for our analyses. We are using Climatol v3.1. 2 (Guijarro, 2019), and InterpQM (Resch et al., 2022) on R 4.2 (R Core Team, 2022) and HOMER v2.6 on R 2.15 (R Core Team, 2012). To evaluate the differences between the used homogenization methods, a Kolmogorov-Smirnov test was performed with seasonal data. homogenized or original when a quantile based homogenization approach (interpQM) is applied, which shows the strongest effect with exclusively negative trends for HSavg and, as expected, a slight increase in the number of significant The differences between the methods become clearer when considering the seasonal maximum values: The trends for HSmax, absolute maximum snow depths and extreme values. The performed homogenization increases the confidence in the derived extreme values, which particularly useful for engineering applications. far as snow based adjustments the the larger thresholds.
Zooplankton and benthic fauna composition of Isaka-bundu mangrove swamp, Niger delta, Nigeria: A polluted tidal mangrove tropical creek

The study was aimed at examining the impact of untreated discharges from artisanal refineries (illegal bunkering), loading and other related activities on the composition, abundance, distribution, and diversity of zooplankton and macrobenthic fauna from four creek channels of the Isaka-Bundu waterfront in Rivers State, a polluted tidal mangrove wetland. Zooplankton and benthic fauna samples were collected monthly from each of the sampling stations for six months (July to December 2021 using standard sampling methods. Margalef (D), Shannon Wienner (H), and Evenness indices were tools used to determine the species richness and diversity respectively using the SPSS statistical package. This study shows that illegal refining activities and other discharges from industrial and human wastes had an unfavourable impact on the zooplankton and macro-benthic fauna community in Isaka-Bundu waterfronts. The effects are reflected in the spatial variations in the composition with more agitation, especially in station 2 in zooplankton and station 3 in macrobenthic fauna, which has a lower number of species and abundance. The majority of indicator species is a validation of this study, the community structure is an insight into the adverse effects of individual and cumulative activities. More impact was observed on the benthos and benthic fauna and this could be due to their exceptional features and location in the aquatic environment. While therefore, this is an indication that creeks are polluted and regular monitoring should be carried out to report the special degradation level of this creek.
Queer(y)ing Agent-Based Modelling: An example from LGBTQ workplace studies

Since the early 2000s, workplaces have been a focus of various LGBTQ policy interventions – addressing prejudice in selection processes, workplace bullying/harassment, as well ‘soft’ approaches to inclusivity. This working paper explores the contribution agent-based modelling (ABM) can make to the study of LGBTQ workplace inequalities and, conversely, how intersectional and queer theoretical insights from LGBTQ studies can inform future developments in ABM. We introduce an example LGBTQ workplace model, developed as part of the CILIA-LGBTQI+ (Comparing Intersectional Lifecourse Inequalities amongst LGBTQI+ Citizens in Four European Countries) project, to illustrate how ABM can address methodological binarism and bridge macro and micro accounts within LGBTQ studies of the workplace. The model is intended as an important starting point in developing the role of ABM in LGBTQ research and for bridging qualitative- and quantitative-derived insights. Likewise, in the working paper, we reflect on some of the theoretical and methodological tensions encountered in developing the model, and how we approached negotiating these through the research process.
The Mulesing Mutilation

People for the Ethical Treatment of Animals (PETA) appreciates the opportunity to submit comments to the United States Trade Representative in response to Docket No. USTR-2009-0041 regarding the proposed Trans-Pacific Partnership Trade Agreement (TPP) with Australia, Brunei Darussalam, Chile, New Zealand, Peru, Singapore, and Vietnam, as announced in the Federal Register, Vol. 74, No. 240, on December 16, 2009, pages 66720-2.
Street Vendors Evictions and Relocations in Dar Es Salaam: Coping Strategies and Resilience Implications

The existing literature on urban governance regards street vendors as passive victims of evictions and re-allocations threats, focusing largely on their inability to cope. Using the case study of the urban street vendors in Dar es Salaam, Tanzania, this paper suggests that urban street vendors are not just passive victims of evictions and re-allocations but also utilize various capabilities to cope with this threat. The paper examines evictions and re-allocations threat among urban street vendors in Dar es Salaam Tanzania, to determine the vendors’ capability to cope with the threat and recommend factors for supporting the vendors to cope more competently. Based on the multilayered social resilience framework, a qualitative approach was utilized and drew data on a sample of 50 respondents through in-depth interviews, focus group discussions (FGDs), observations, and a review of secondary data. Findings indicated that on the one hand, the vendors managed to develop reactive and less proactive capacities of coping with the evictions and re-allocations threat mainly based on the individual, household, community level, and to a lesser degree, national and international levels. On the other hand, vendors’ coping capacities were impeded by their lack of financial ability, less supportive government structures and politics, lack of union among the vendors, and business skills. These factors should be considered in supporting the vendors to more competently cope with the threat. These findings provide insights on alternative ways of understanding and alleviating the negative consequences of evictions and re-allocations of the urban street vendors in Dar es Salaam and other cities in Tanzania.
EFFECT OF SODIUM ACETATE AND SODIUM CITRATE ON SOME QUALITY PROPERTIES OF GRASS CARP FILLETS DURING CHILLING STORAGE

The effects of sodium acetate, sodium citrate and their mixture on some chemical, bacteriological and organoleptic characteristics of grass carp fillets ( Ctenopharyngodon idella ) were studied. Fillets were dipped for 30 min in 1, 2 and 3% of each solution at room temperature (20°C) then drained for 3 min and stored at (4  1°C) for 18 days. The results indicated that using concentration the mixture (3%) of sodium acetate and sodium citrate maintained grass carp fish fillets in good condition for the longest duration since chemical, bacteriological and organoleptic evaluation was non significant changed appreciably through the whole period of cold storage compared with the control and other treatments.
Communication and Cooperation in Decentralized Multi-Agent Reinforcement Learning

Many real-world problems can only be solved when multiple agents work together. Each agent often has only a partial view of the whole environment. Therefore, communication and cooperation are important abilities for agents in these environments. In this thesis, we test the ability of an existing deep multi-agent actor-critic algorithm to cope with partially observable scenarios. In addition, we propose to adapt this algorithm to use recurrent neural networks, which enables using information from past steps to improve action-value predictions. We evaluate the algorithms in cooperative environments that require cooperation and communication. Furthermore, we simulate varying degrees of partial observability of actions and observations from other agents. Our experiments show that our proposed recurrent adaptation achieves equally good or significantly better success rates compared to the original method when only actions of other agents are partially observed. However, for other settings our adaptation also can perform worse than the original method, especially when the observations of other agents are only partially observed.
Measuring environmental responsible behavior through experience quality, perceived value, and tourist satisfaction from the perspectives of tourists in natural sites

This study aims to examine environmentally responsible behavior through experience quality, perceived value, and tourist satisfaction while explaining responsible behavior of tourists towards the environment in the natural sites of Madhya Pradesh, India. The theoretical framework proposed is based on literature. Structural equation modeling (SEM) was employed using partial least squares (PLS) 3.0 software to test the model fit and hypotheses. The data was collected using random sampling from 131 tourists at these natural sites who participated in the survey through a questionnaire. The analysis showed a good fit for the environmentally responsible behavior study model. The results suggested that experience quality and perceived value are significantly associated with tourist satisfaction, and experience quality significantly impacts the perceived value. Furthermore, environmentally responsible behavior depends on the satisfaction of the tourists. India is too large to include all areas, and this study was limited to only four natural sites situated in the Indian state of Madhya Pradesh. The results thus cannot be generalized. Responsible environmental behavior can be promoted through tourist satisfaction with the natural sites. Those people responsible for marketing the natural sites must learn and adopt strategies that effectively help them communicate different dimensions of experience quality and perceived value to the tourists.
Seq2Parse: neurosymbolic parse error repair

We present Seq2Parse, a language-agnostic neurosymbolic approach to automatically repairing parse errors. Seq2Parse is based on the insight that Symbolic Error Correcting (EC) Parsers can, in principle, synthesize repairs, but, in practice, are overwhelmed by the many error-correction rules that are not relevant to the particular program that requires repair. In contrast, Neural approaches are fooled by the large space of possible sequence level edits, but can precisely pinpoint the set of EC-rules that are relevant to a particular program. We show how to combine their complementary strengths by using neural methods to train a sequence classifier that predicts the small set of relevant EC-rules for an ill-parsed program, after which, the symbolic EC-parsing algorithm can make short work of generating useful repairs. We train and evaluate our method on a dataset of 1,100,000 Python programs, and show that Seq2Parse is accurate and efficient: it can parse 94% of our tests within 2.1 seconds, while generating the exact user fix in 1 out 3 of the cases; and useful: humans perceive both Seq2Parse-generated error locations and repairs to be almost as good as human-generated ones in a statistically-significant manner.
Hardware-in-the-Loop simulation of a hybrid electric vehicle using Modelica r /Dymola r

In this paper the modelling of a hybrid electric vehicle using the object-oriented modelling language Modelica r will be presented. The main focus shall be the real-time simulation in connection with a Hardware-in-the-Loop (HiL) test-bench system. The paper presents the main components of a hybrid electric vehicle (HEV) using the Micro Hybrid architecture. Micro Hybrids allow the use of Start/Stop operation as well as brake energy regeneration. As one example out of the complex tasks of the hybrid controller a control strategy for the battery’s state of charge using a sensitivity function will be explained. To show the impact of using such a sensitivity function the results of an simulation are presented in the end.
Theories in finance discipline: A critique of literature review

The purpose of this paper is to create awareness of a number of existing theories in Finance area of specialization. The compilation and analyses on the theories will help scholars quickly identify theories existing in finance and application of the theories in a scholarly manner. However the theories analyzed are not exhaustive. Scholars are allowed to add to the list of analyses.
‘Pusa Samachar’: an innovative multimedia-based extension advisory model

Access, efficiency and affordability of agricultural information are a prerequisite for achieving set targets of agricultural productivity. Information and communication technology (ICT) equipped with social media reach can play a leading role in disseminating correct information to needful farmers at the right time. The ICAR-Indian Agricultural Research Institute in-house initiative ‘Pusa Samachar’ is an innovative multimedia-based extension advisory model that targets to reach farmers across India with timely, location-specific and customized farm information. The present study was conducted to get an overall idea about the viewership pattern and to validate this model under content, design, ease of understanding and fulfilment of information needs. Analysis of secondary data from YouTube analytics and primary data collected from different stake-holders has shown that with changes in the format, style and presentation of the content, the trend of viewing changed and therefore four episodes performed better than the others with respect to the number of views, watch hours and subscribers added per episode. The findings also indicate that the number of views depend on the episode duration ( χ 2 = 83.049, P = 0.001264); however, the average view duration per episode is independent of episode duration ( χ 2 = 3.1821, P = 1). Overall, the present study has shown how initiatives like Pusa Samachar have immense potential to reach farmers across the nation through social media. Such initiatives can be taken up by other public institutions as reliability and validity of their content is high. However, the results have shown that diversification with respect to content and audio-visuals is further needed to attract and retain more audience.
Investigating the Influence of Internet Usage on Income Inequality in Transitional Countries

: The study investigated the impact of internet usage on income inequality in transitional economies using panel data ranging from 2008 to 2019. The second objective was to find out the influence of the complementarity between internet usage and human capital development on income inequality in transitional economies using the same data set. The available literature on the subject matter is divergent, conflicting, and far from reaching a consensus, hence the reason why the author attempted to empirically investigate the impact of internet usage on income inequality. The lag of income inequality was found to have had a significant positive influence on income inequality under the dynamic generalized methods of moments (GMM). Fixed effects produced results which show that internet usage had a significant negative effect on income inequality, consistent with the available literature. Transitional economies are therefore urged to develop and implement policies that promotes a wide coverage of internet usage to reduce income inequality. The interaction between internet usage and human capital development was found to have had a significant positive impact on income inequality under the fixed effects whilst pooled ordinary least squares (OLS) shows that the impact of the complementarity between internet usage and human capital development on income inequality was negative but significant. Transitional economies are therefore urged to implement enhanced human capital development policies to enable internet usage to play a meaningful role in reducing income inequality in the society. Future research needs to establish minimum threshold levels that internet usage in transitional economies must reach to have a significant influence on income inequality. Such a study enriches the income inequality policy making and implementation programmes.
Pyogenic Granuloma in Kidney Transplant Patient: Removal by Laser

The kidney transplanted patient, who is more susceptible to opportunist infections during immunosuppressive therapy, is considered a patient that requires special dental care. The oral cavity generally presents some stomatologic alterations secondary to the use of cyclosporin A - an immunosuppressive medication normally used, such as drug-induced gingival overgrowth, hairy leukoplakia, neoplasias, periodontal diseases and candidosis. The purpose of this article is to report a case of pyogenic granuloma developed concomitantly with drug-induced gingival overgrowth in a kidney transplanted patient, submitted to surgery with Nd:YAP laser, and followed up for 19 years. The clinical and histopathologic characteristics, incidence and frequency, differential diagnosis, etiopathogenesis and treatment modalities inherent to the lesion were discussed. hemangioendothelioma, hemangiopericytoma, infection by cytomegalovirus, gingival by
Robust eigensystem assignment for second-order estimators

An approach for the robust eigensystem assignment of flexible structures using full state or output feedback is developed. Using the second-order dynamic equations, the approach can assign the eigenvalues of the system via velocity and displacement feedbacks, or acceleration and velocity feedbacks. The eigenvalues and eigenvectors of the system are assigned, via the second-order eigenvalue problem for the structural system, in two steps. First, an orthonormal basis spanning the attainable closed-loop eigenvector space corresponding to each desired closed-loop eigenvalue is generated using the Singular Value or QR decompositions. Second, a sequential procedure is used to choose a set of closed-loop eigenvectors that are as close as possible to the column space of a well-conditioned target matrix. Among the possible choices of the target matrix, the closest unitary matrix to the open-loop eigenvector matrix appears to be a suitable choice. A numerical example is given to illustrate the proposed algorithm.