Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Resource Management: An Experiential Approach

I. THE SUCCESS SYSTEM: ANTICIPATING SUCCESS. 1. Human Resource Management: The Success System Model. II. THE SUCCESS SYSTEM: ATTRACTING A HIGH PERFORMING WORKFORCE. 2. The Success System: Equal Employment and the Law. 3. The Success System: HRM Planning, Job Analysis and Productivity. 4. The Success System: The Recruiting Process. 5. The Success System: The Selection Process. III. THE SUCCESS SYSTEM: DEVELOPING A HIGH PERFORMING WORKFORCE. 6. The Success System: Performance Management. 7. The Success System: Training and Developing Human Potential. 8. The Success System: Management and Organization Development. 9. The Success System: Career Development. IV. THE SUCCESS SYSTEM: MOTIVATING A HIGH PERFORMING WORKFORCE. 10. The Success System: Compensating High Performing Systems. 11. The Success System: Employee Benefits. 12. The Success System: Motivating in Changing Times: Pay for Performance. V. THE SUCCESS SYSTEM: MAINTAINING A HIGH PERFORMING WORKFORCE. 13. The Success System: Union Relations and Collective Bargaining. 14. The Success System: Employee Health and Safety. VI. THE SUCCESS SYSTEM: CHANGING A HIGH PERFORMING WORKFORCE. 15. The Success System: HRM Strategy. 16. The Success System: Changing for Success. 17. The Success System: Total Quality Management. 18. The Success System: Managing Diversity. VII. THE SUCCESS SYSTEM: FOCUSING ON A HIGH PERFORMING WORKFORCE. 19. The Success System: Human Resource Management: The Challenge and the Future. Index.
Impact of COVID-19 restrictions on corneal tissue donation and utilization rate - Time to bring reforms?

India: A report. Indian J Ophthalmol 2020;68:1393‐9. 4. Das AV, Rani PK, Vaddavalli PK. Tele‐consultations and electronic medical records driven remote patient care: Responding to the COVID‐19 lockdown in India. Indian J Ophthalmol 2020;68:1007‐12. 5. Rao GN, Khanna RC, Athota SM, Rajshekar V, Rani PK. Integrated model of primary and secondary eye care for underserved rural areas: The L V Prasad Eye Institute experience. Indian J Ophthalmol 2012;60:396‐400. 6. Das AV, Kammari P, Vadapalli R, Basu S. Big data and the eyeSmart electronic medical record system ‐ An 8‐year experience from a three‐tier eye care network in India. Indian J Ophthalmol 2020;68:427‐32. 7. Available from: https://en.wikipedia. org/wiki/COVID‐19_ lockdown_in_India. [Last acessed on 2021 April 22]. 8. Roy A, Das S, Chaurasia S, Fernandes M, Murthy S. Corneal transplantation and eye banking practices during COVID‐19‐related lockdown period in India from a network of tertiary eye care centers. Indian J Ophthalmol 2020;68:2368‐71. Cite this article as: Das AV, Chaurasia S, Joseph J, Murthy SI. Year one of COVID-19 pandemic in India: Effect of lockdown and unlock on the presentation of patients with infective keratitis at a tertiary eye center. Indian J Ophthalmol 2021;69:3779-82.
Blockchain Based Secure Routing and Trust Management in Wireless Sensor Networks

In this paper, an encryption and trust evaluation model is proposed on the basis of a blockchain in which the identities of the Aggregator Nodes (ANs) and Sensor Nodes (SNs) are stored. The authentication of ANs and SNs is performed in public and private blockchains, respectively. However, inauthentic nodes utilize the network’s resources and perform malicious activities. Moreover, the SNs have limited energy, transmission range and computational capabilities, and are attacked by malicious nodes. Afterwards, the malicious nodes transmit wrong information of the route and increase the number of retransmissions due to which the SNs’ energy is rapidly consumed. The lifespan of the wireless sensor network is reduced due to the rapid energy dissipation of the SNs. Furthermore, the throughput increases and packet loss increase with the presence of malicious nodes in the network. The trust values of SNs are computed to eradicate the malicious nodes from the network. Secure routing in the network is performed considering residual energy and trust values of the SNs. Moreover, the Rivest–Shamir–Adleman (RSA), a cryptosystem that provides asymmetric keys, is used for securing data transmission. The simulation results show the effectiveness of the proposed model in terms of high packet delivery ratio.
Effective speak-up arrangements for whistleblowers. A multi-case study on the role of responsiveness, trust and culture.

This research project examined the opportunities, challenges and best practices associated with different types of speak-up arrangements, both internal and external, in a variety of organisational settings across different sectors, industries and locations. While recent research on the topic has focused mainly on the experience of those who have ‘blown the whistle’, the approach used here explored arrangements for speaking up (‘speak-up arrangements’) from the viewpoint of those who develop, operate and oversee them, seeking to provide recommendations for an effective framework. Findings from the investigation show that effective speak-up arrangements: • involve a combination of different channels through which employees can voice a concern • contribute to building trust through speak-up practices that evolve over time and are supported by the independence of speak-up operators • rely on robust and consistent response systems that are supported by appropriate recording of speak-up events, coordinated follow-up activities, and willingness to respond at different management levels; there are nevertheless barriers to responsiveness caused by anonymous concerns, legal issues, and lack of a visible response, albeit inadvertent, and • may need to take into account the potentially difficult interactions between organisational and national cultures. These findings give rise to key recommendations for developing, operating and overseeing effective speak-up arrangements. These are further discussed in the ‘Recommendations’ section at the end of this report. 1. Provide a variety of voicing channels and consider the use of an external independent advice channel when introducing a speak-up arrangement. 2. Be prepared to accept that concerns received may not be strictly considered speak-up or whistle-blowing cases but some of them may nonetheless help organisations recognise previously unidentified risks. 3. Design a speak-up ‘back office’ to record concerns and use this data to strengthen risk management and response processes, investigation and intervention, acknowledging the variety of concerns that could be raised. 4. Ensure that responsiveness is well organised, clearly mandated and adequately resourced. Merely encouraging employees to speak up, without putting robust response systems in place, is likely to have negative consequences, for both employees and the organisation. 5. Make responses visible where possible. This may be achieved by exploring whether employees who raised a concern can be included in developing a solution to the problem; this in turn can contribute to developing collective sense-making and increase trust in the effectiveness of the speak-up arrangement. It is also important to emphasise continuously to managers at all levels that responding to concerns is part of their role, and to restrict their discretion about whether/how to respond. 6. Consider participating in the development of a standard for the public reporting of data from speak-up arrangements.
Trends of Income Inequality and Polarisation in Pakistan for the Period 1990-2008

Trends of income inequality and polarisation previously were calculated by Arshad, et al. (2008) in Pakistan for the period of 04 years from 1992-93 to 2001-02, using Gini-coefficient and Bossert and Schworm (2006) measures respectively. Empirical analysis of polarisation has huge importance in the economic policy making. However, polarisation has been less probed, rather un-explored phenomenon. So far only a handful studies have been conducted on this topic and most of the covered western countries with an exception of India. This research area appears to be unexplored in Pakistan, except for a few studies which led to the foundation for the present study. Problem statement is that in spite of handsome economic growth rates and the rate of industrialisation, income distribution continues to deteriorate in Pakistan and why masses have not been able to enjoy the benefits of economic development. For social welfare analysis, issues like inequality, poverty, per capita income and trickle-down effect need to be addressed. Much empirical studies have been conducted on these issues however it appears that per capita income is not appropriate measure of the welfare in any economy because it hides a wide range of fluctuation behind the score/value. However, still it is treated as one of the foremost indicator of the wellbeing of the economy. Despite of the recent and more sophisticated tools to assess effectiveness of economic growth, development and economic advancement the historical importance and simplicity of per capita income as a measure of the average level of prosperity in an economy still stands valid. In Pakistan, per capita income in Dollar terms has increased from $586 in 2002-03 to $10,466 in2008-09. Real per capita income in rupee terms has also increased by 2.5 percent as compared to 0.3 percent growth last year (Government of Pakistan, , 2009). However, In Pakistan 30 to 35 percent of the population is living on one dollar a day as reported by World Bank (2002). For these people, it is very hard to provide three square meals a day for family members.
A Thesis For the Degree of Master of Science Influence of Dietary Levels of Milk By-products in Weaning Diet on Growth Performance, Blood Profiles, Intestinal Morphology and Muscle fiber in Weaning pigs and Economic Analysis

········································································································· 20 Introduction ··································································································· 22 Materials and Methods ················································································ 24 Results and Discussion ················································································ 28 Conclusion ····································································································· 34 IV. Literature Cited ······························································································· 35 V. Summary in Korean ······················································································· 54
Lecture Notes On Motivic Cohomology

* Etale motivic theory: * Etale sheaves with transfers * The relative Picard group and Suslin's rigidity theorem * Derived tensor products $\mathbb{A}^1$-weak equivalence * Etale motivic cohomology and algebraic singular homology * Nisnevich sheaves with transfers: * Standard triples * Nisnevich sheaves* * Nisnevich sheaves with transfers * The triangulated category of motives: * The category of motives * The complex $\mathbb{Z}(n)$ and $\mathbb{P}^n$ Equidimensional cycles * Higher Chow groups: * Higher Chow groups * Higher Chow groups and equidimensional cycles * Motivic cohomology and higher Chow groups * Geometric motives * Zariski sheaves with transfers: Covering morphisms of triples * Zariski sheaves with transfers * Contractions * Homotopy invariance of cohomology * Bibliography * Glossary * Index
Emerging tyrosine kinase inhibitors for head and neck cancer

ABSTRACT Introduction Conventional regimens for head and neck squamous cell carcinoma (HNSCC) are limited in efficacy and are associated with adverse toxicities. Food and Drug Administration (FDA) approved molecular targeting agents include the HER1 (EGFR)-directed monoclonal antibody cetuximab and the immune checkpoint inhibitors nivolumab and pembrolizumab. However, clinical benefit is only seen in roughly 15–20% of HNSCC patients treated with these agents. New molecular targeting agents are needed that either act with monotherapeutic activity against HNSCC tumors or enhance the activities of current therapies, particularly immunotherapy. Small-molecule tyrosine kinase inhibitors (TKIs) represent a viable option toward this goal. Areas covered This review provides an update on TKIs currently under investigation in HNSCC. We focus our review on data obtained and trials underway in HNSCC, including salivary gland cancers and nasopharyngeal carcinomas, but excluding thyroid cancer and esophageal cancer. Expert opinion While some emerging TKIs have shown clinical benefit, the positive effects have, largely, been modest. The design of clinical trials of TKIs has been hampered by a lack of understanding of biomarkers that can be used to define patient populations most likely to respond. Further preclinical and translational studies to define biomarkers of TKI response will be critically important.
Marchiafava Bignami Disease: A Rare Neurological Complication of Long-Term Alcohol Abuse

Marchiafava Bignami disease is a demyelinating and necrotic disease of the central nervous system in chronic alcohol users and malnourished patients. The primary characteristic lesion of this disease is present in the corpus callosum in the form of its necrosis, but plenty of evidence suggests that it can also affect other parts of the brain. The main pathophysiology revolves around the consumption of alcohol and its ability to cause thiamine depletion in the body and hinder various metabolic pathways. There is also a hindrance in myelin synthesis, which further damages the signal transmission leading to an array of symptoms and signs. It is present in different degrees in patients in the form of different stages, namely acute, subacute, and chronic. The diagnosis of the disease becomes tough as the presenting symptoms are very generic and vague. Before the innovation of advanced imaging techniques, it was mainly a finding during an autopsy, but presently it can be diagnosed by a well-taken history and imaging techniques which can help to rule out other diseases having a similar clinical presentation. The gold standard for the diagnosis of the disease is using magnetic resonance imaging (MRI) techniques to visualize the lesions present in the corpus callosum and other areas, but other methods like computed tomography (CT) are also used. The prognosis of the disease is influenced by many factors, and it varies greatly. Some factors such as broad involvement of the cerebral cortex and severe disturbances in consciousness are indicative of a poor prognosis. The differential diagnosis consists of other alcohol use disorders like Wernicke’s encephalopathy, neoplastic conditions, and multiple sclerosis, to mention a few. Each one should be carefully eliminated before finalizing the diagnosis. The treatment of the disease is not concrete, but evidence shows improvement with specific interventions.
Echocardiographic Image Segmentation for Diagnosing Fetal Cardiac Rhabdomyoma During Pregnancy Using Deep Learning

Automated interpretation of cardiac images has the potential to change clinical practice in many ways. For example, it could make it possible for non-experts in primary care and rural settings to test the heart’s function over time. In this paper, we tested the research hypothesis that recent developments in computer vision would make it possible to create a fully automated, scalable analysis for echocardiogram interpretation, covering all of the steps from view identification and Medical Image Segmentation (MIS) to structure and function quantification and Fetal Cardiac RhabDomyomas (FCRD) detection. Even though they are rare, FCRDs are the most frequent cause of Fetal Cardiac Tumor (FCT). When it comes to diagnosing and monitoring fetuses with an injured circulatory system, imaging (particularly echocardiography (ECG)) has proven helpful in the field of fetal cardiology. Because of the severe lack of qualified and experienced sonographers, it is very challenging to diagnose Cardiac RhabDomyomas (CRD). Prior to delivery, accurate segmentation of the FC to identify structural cardiac defects is critical for minimizing the illness among newborns. To automate the process of segmenting the cardiac chamber for the CRD, we propose a novel Attention-Residual Network-based V-Net architecture (ARVNet). In this study, examinations were performed on Fetal Rhabdomyomas noted in the Right Ventricle (FRRV), Fetal Rhabdomyomas noted in the Left Ventricle (FRLV), Fetal Rhabdomyomas noted in the Right Atrium (FRRA), Fetal Rhabdomyomas noted in the Left Atrium (FRLA), Fetal Rhabdomyomas noted in the Tricuspid Valve (FRTV). Images without Rhabdomyoma mean “Normal Condition (NC)” at Selvam Hospital in Melapalayam, Tirunelveli, Tamil Nadu, India. Even with a relatively small number of datasets, the proposed technique possesses high CRD detection performance, as evidenced by the results. The results showed that the proposed model did a good job segmenting all the views, with a specificity of 99.7% and a Dice coefficient similarity of 99.8%. It also did well at finding CRDs, with an average mean accuracy of around 99.85%.
Bounded Guaranteed Algorithms for Concave Impurity Minimization Via Maximum Likelihood

Partitioning algorithms play a key role in many scientific and engineering disciplines. A partitioning algorithm divides a set into a number of disjoint subsets or partitions. Often, the quality of the resulted partitions is measured by the amount of impurity in each partition, the smaller impurity the higher quality of the partitions. In general, for a given impurity measure specified by a function of the partitions, finding the minimum impurity partitions is an NP-hard problem. Let $M$ be the number of $N$-dimensional elements in a set and $K$ be the number of desired partitions, then an exhaustive search over all the possible partitions to find a minimum partition has the complexity of $O(K^M)$ which quickly becomes impractical for many applications with modest values of $K$ and $M$. Thus, many approximate algorithms with polynomial time complexity have been proposed, but few provide bounded guarantee. In this paper, an upper bound and a lower bound for a class of impurity functions are constructed. Based on these bounds, we propose a low-complexity partitioning algorithm with bounded guarantee based on the maximum likelihood principle. The theoretical analyses on the bounded guarantee of the algorithms are given for two well-known impurity functions Gini index and entropy. When $K \geq N$, the proposed algorithm achieves state-of-the-art results in terms of lowest approximations and polynomial time complexity $O(NM)$. In addition, a heuristic greedy-merge algorithm having the time complexity of $O((N-K)N^2+NM)$ is proposed for $K<N$. Although the greedy-merge algorithm does not provide a bounded guarantee, its performance is comparable to that of the state-of-the-art methods. Our results also generalize some well-known information-theoretic bounds such as Fano's inequality and Boyd-Chiang's bound.
Minimizing GCD sums and applications to non-vanishing of theta functions and to Burgess' inequality

In recent years the question of maximizing GCD sums regained interest due to its firm link with large values of $L$-functions. In the present paper we initiate the study of minimizing for positive weights~$w$ of normalized $L^1$- norm the sum $\sum_{m_1 , m_2 \leqslant N} w({m_1})w({m_2})\frac{(m_1,m_2)}{\sqrt{m_1m_2}} $. We consider as well the intertwined question of minimizing a weighted version of the usual multiplicative energy. We give three applications of our results. Firstly we obtain a logarithmic refinement of Burgess' bound on character sums $\displaystyle{\sum_{M 0$, there exists at least $ \gg p/(\log p)^{ \delta+o(1)}$ (with $\delta=1-\frac{1+\log_2 2}{\log 2} \approx 0.08607$) even characters such that $\theta(x,\chi) \neq 0$. Lastly we obtain lower bounds on small moments of character sums.
The Architecture of Mathematics

1. Mathematic or mathematics? To present a view of the entire field of mathematical science as it exists,-this is an enterprise which presents, at first sight, almost insurmountable difficulties, on account of the extent and the varied character of the subject. As is the case in all other sciences, the number of mathematicians and the number of works devoted to mathematics have greatly increased since the end of the 19th century. The memoirs in pure mathematics published in the world during a normal year cover several thousands of pages. Of course, not all of this material is of equal value; but, after furll allowance has been made for the unavoidable tares, it remains true nevertheless that mathematical science is enriched each year by a mass of new results, that it spreads and branches out steadily into theories, which are subjected to modifications based on new foundations, compared and combined with one another. No mathematician, even were he to devote all his time to the task, would be able to follow all the details of this development. Many mathematicians take up quarters in a corner of the domain of mathematics, which they do not intend to leave; not only do they ignore almost completely what does not concern their special field, but they are unable to understand the language and the terminology used by colleagues who are working in a corner remote from their own. Even among those who have the widest training, there are none who do not feel lost in certain regions of the immense world of mathematics; those who, like Poincar6 or Hilbert, put the seal of their genius on almost every domain, constitute a very great exception even among the men of greatest accomplishment. It must therefore be out of the question to give to the uninitiated an exact picture of that which the mathematicians themselves can not conceive in its totality. Nevertheless it is legitimate to ask whether this exuberant proliferation makes for the development of a strongly constructed organism, acquiring ever greater cohesion and unity with its new growths, or whether it is the external manifestation of a tendency towards a progressive splintering, inherent in the very nature of mathematics, whether the domain of mathematics is not becoming a tower of Babel, in which autonomous disciplines are being more and more widely separated from one another, not only in their aims, but also in their methods and even in their language. In other words, do we have today a mathematic or do we have several mathematics? Although this question is perhaps of greater urgency now than ever before, it is by no means a new one; it has been asked almost from the very beginning of mathematical science. Indeed, quite apart from applied mathematics, there has
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control

Delayed Markov decision processes fulfill the Markov property by augmenting the state space of agents with a finite time window of recently committed actions. In reliance with these state augmentations, delay-resolved reinforcement learning algorithms train policies to learn optimal interactions with environments featured with observation or action delays. Although such methods can directly be trained on the real robots, due to sample inefficiency, limited resources or safety constraints, a common approach is to transfer models trained in simulation to the physical robot. However, robotic simulations rely on approximated models of the physical systems, which hinders the sim2real transfer. In this work, we consider various uncertainties in the modelling of the robot's dynamics as unknown intrinsic disturbances applied on the system input. We introduce a disturbance-augmented Markov decision process in delayed settings as a novel representation to incorporate disturbance estimation in training on-policy reinforcement learning algorithms. The proposed method is validated across several metrics on learning a robotic reaching task and compared with disturbance-unaware baselines. The results show that the disturbance-augmented models can achieve higher stabilization and robustness in the control response, which in turn improves the prospects of successful sim2real transfer.