In the domain of legal information retrieval, an important challenge is to compute similarity between two legal documents. Precedents play an important role in The Common Law system, where lawyers need to frequently refer to relevant prior cases. Measuring document similarity is one of the most crucial aspects of any document retrieval system which decides the speed, scalability and accuracy of the system. Text-based and network-based methods for computing similarity among case reports have already been proposed in prior works but (...) not without a few pitfalls. Since legal citation networks are generally highly disconnected, network based metrics are not suited for them. Till date, only a few text-based and predominant embedding based methods have been employed, for instance, TF-IDF based approaches, Word2Vec and Doc2Vec based approaches. We investigate the performance of 56 different methodologies for computing textual similarity across court case statements when applied on a dataset of Indian Supreme Court Cases. Among the 56 different methods, thirty are adaptations of existing methods and twenty-six are our proposed methods. The methods studied include models such as BERT and Law2Vec. It is observed that the more traditional methods that rely on a bag-of-words representation performs better than the more advanced context-aware methods for computing document-level similarity. Finally we nominate, via empirical validation, five of our best performing methods as appropriate for measuring similarity between case reports. Among these five, two are adaptations of existing methods and the other three are our proposed methods. (shrink)

The task of rhetorical role labeling is to assign labels (such as Fact, Argument, Final Judgement, etc.) to sentences of a court case document. Rhetorical role labeling is an important problem in the field of Legal Analytics, since it can aid in various downstream tasks as well as enhances the readability of lengthy case documents. The task is challenging as case documents are highly various in structure and the rhetorical labels are often subjective. Previous works for automatic rhetorical role identification (...) (i) mainly used Conditional Random Fields over manually handcrafted features, and (ii) focused on certain law domains only (e.g., Immigration cases, Rent law), and a particular jurisdiction/country (e.g., US, Canada, India). In this work, we improve upon the prior works on rhetorical role identification by proposing novel Deep Learning models for automatically identifying rhetorical roles, which substantially outperform the prior methods. Additionally, we show the effectiveness of the proposed models over documents from five different law domains, and from two different jurisdictions—the Supreme Court of India and the Supreme Court of the UK. Through extensive experiments over different variations of the Deep Learning models, including Transformer models based on BERT and LegalBERT, we show the robustness of the methods for the task. We also perform an extensive inter-annotator study and analyse the agreement of the predictions of the proposed model with the annotations by domain experts. We find that some rhetorical labels are inherently hard/subjective and both law experts and neural models frequently get confused in predicting them correctly. (shrink)

Summarization of legal case judgement documents is a practical and challenging problem, for which many summarization algorithms of different varieties have been tried. In this work, rather than developing yet another summarization algorithm, we investigate if intelligently ensembling (combining) the outputs of multiple (base) summarization algorithms can lead to better summaries of legal case judgements than any of the base algorithms. Using two datasets of case judgement documents from the Indian Supreme Court, one with extractive gold standard summaries and the (...) other with abstractive gold standard summaries, we apply various ensembling techniques on summaries generated by a wide variety of summarization algorithms. The ensembling methods applied range from simple voting-based methods to ranking-based and graph-based ensembling methods. We show that many of our ensembling methods yield summaries that are better than the summaries produced by any of the individual base algorithms, in terms of ROUGE and METEOR scores. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion and we add a new modal variant to that class of logics. We also discuss the relative expressive power of the proposed logic in comparison to the standard (...) modal counterparts. (shrink)

When agents know a protocol, this leads them to have expectations about future observations. Agents can update their knowledge by matching their actual observations with the expected ones. They eliminate states where they do not match. In this paper, we study how agents perceive protocols that are not commonly known, and propose a semantics-driven logical framework to reason about knowledge in such scenarios. In particular, we introduce the notion of epistemic expectation models and a propositional dynamic logic-style epistemic logic for (...) reasoning about knowledge via matching agentsÊ expectations to their observations. It is shown how epistemic expectation models can be obtained from epistemic protocols. Furthermore, a characterization is presented of the effective equivalence of epistemic protocols. We introduce a new logic that incorporates updates of protocols and that can model reasoning about knowledge and observations. Finally, the framework is extended to incorporate fact-changing actions, and a worked-out example is given. © 2013 Elsevier B.V. (shrink)

This paper presents an attempt to bridge the gap between logical and cognitive treatments of strategic reasoning in games. There have been extensive formal debates about the merits of the principle of backward induction among game theorists and logicians. Experimental economists and psychologists have shown that human subjects, perhaps due to their bounded resources, do not always follow the backward induction strategy, leading to unexpected outcomes. Recently, based on an eye-tracking study, it has turned out that even human subjects who (...) produce the outwardly correct ‘backward induction answer’ use a different internal reasoning strategy to achieve it. The paper presents a formal language to represent different strategies on a finer-grained level than was possible before. The language and its semantics help to precisely distinguish different cognitive reasoning strategies, that can then be tested on the basis of computational cognitive models and experiments with human subjects. The syntactic framework of the formal system provides a generic way of constructing computational cognitive models of the participants of the Marble Drop game. (shrink)

We make a proposal for formalizing simultaneous games at the abstraction level of player’s powers, combining ideas from dynamic logic of sequential games and concurrent dynamic logic. We prove completeness for a new system of ‘concurrent game logic’ CDGL with respect to finite non-determined games. We also show how this system raises new mathematical issues, and throws light on branching quantifiers and independence-friendly evaluation games for first-order logic.

In a Common Law system, legal practitioners need frequent access to prior case documents that discuss relevant legal issues. Case documents are generally very lengthy, containing complex sentence structures, and reading them fully is a strenuous task even for legal practitioners. Having a concise overview of these documents can relieve legal practitioners from the task of reading the complete case statements. Legal catchphrases are (multi-word) phrases that provide a concise overview of the contents of a case document, and automated generation (...) of catchphrases is a challenging problem in legal analytics. In this paper, we propose a novel supervised neural sequence tagging model for the extraction of catchphrases from legal case documents. Specifically, we show that incorporating document-specific information along with a sequence tagging model can enhance the performance of catchphrase extraction. We perform experiments over a set of Indian Supreme Court case documents, for which the gold-standard catchphrases (annotated by legal practitioners) are obtained from a popular legal information system. The performance of our proposed method is compared with that of several existing supervised and unsupervised methods, and our proposed method is empirically shown to be superior to all baselines. (shrink)

In this technology-driven Digital Age, Management Education is primarily engaged in development of skills and techno-economic competence of students with dominant thrust on sharpening their rational faculties and quantitative ability. Deeper questions and nobler qualittative issues like Spirituality, Corporate Social Responsibility and Ethics are naturally assigned low priority in the rush for money, career, fame, power and position both at the individual and organizational levels. The present paper engages in a Qualitative Research by conducting Focus group Interviews among Participants at (...) the Undergraduate level who had taken up Management Education. After content analysis of the responses the authors highlight their observations on the existing gaps in prevailing management education leading to failure of the present system in charging the students with a deeper Meaning of Work and a higher Purpose of Life. The paper then delves into exploration in pertinent tenets of Classical Indian Wisdom to enrich the spectrum of Management education with insights on Humanistic Philosophy, Holistic Learning, Enlightened CSR and Ethics, and Inspirational Leadership towards creating a better and more humane future for modern organizations. (shrink)

How do people reason about their opponent in turn-taking games? Often, people do not make the decisions that game theory would prescribe. We present a logic that can play a key role in understanding how people make their decisions, by delineating all plausible reasoning strategies in a systematic manner. This in turn makes it possible to construct a corresponding set of computational models in a cognitive architecture. These models can be run and fitted to the participants’ data in terms of (...) decisions, response times, and answers to questions. We validate these claims on the basis of an earlier game-theoretic experiment about the turn-taking game “Marble Drop with Surprising Opponent”, in which the opponent often starts with a seemingly irrational move. We explore two ways of segregating the participants into reasonable “player types”. The first way is based on latent class analysis, which divides the players into three classes according to their first decisions in the game: Random players, Learners, and Expected players, who make decisions consistent with forward induction. The second way is based on participants’ answers to a question about their opponent, classified according to levels of theory of mind: zero-order, first-order and second-order. It turns out that increasing levels of decisions and theory of mind both correspond to increasing success as measured by monetary awards and increasing decision times. Next, we use the logical language to express different kinds of strategies that people apply when reasoning about their opponent and making decisions in turn-taking games, as well as the ‘reasoning types’ reflected in their behavior. Then, we translate the logical formulas into computational cognitive models in the PRIMs architecture. Finally, we run two of the resulting models, corresponding to the strategy of only being interested in one’s own payoff and to the myopic strategy, in which one can only look ahead to a limited number of nodes. It turns out that the participant data fit to the own-payoff strategy, not the myopic one. The article closes the circle from experiments via logic and cognitive modelling back to predictions about new experiments. (shrink)

Connected vehicle fleets have formed significant component of industrial internet of things scenarios as part of Industry 4.0 worldwide. The number of vehicles in these fleets has grown at a steady pace. The vehicles monitoring with machine learning algorithms has significantly improved maintenance activities. Predictive maintenance potential has increased where machines are controlled through networked smart devices. Here, benefits are accrued considering uptimes optimization. This has resulted in reduction of associated time and labor costs. It has also provided significant increase (...) in cost benefit ratios. Considering vehicle fault trends in this research predictive maintenance problem is addressed through hybrid deep learning-based ensemble method (HDLEM). The ensemble framework which acts as predictive analytics engine comprises of three deep learning algorithms viz modified cox proportional hazard deep learning (MCoxPHDL), modified deep learning embedded semi supervised learning (MDLeSSL) and merged LSTM (MLSTM) networks. Both sensor as well as historical maintenance data are collected and prepared using benchmarking methods for HDLEM training and testing. Here, times between failures (TBF) modeling and prediction on multi-source data are successfully achieved. The results obtained are compared with stated deep learning models. This ensemble framework offers great potential towards achieving more profitable, efficient and sustainable vehicle fleet management solutions. This helps better telematics data implementation which ensures preventative management towards desired solution. The ensemble method's superiority is highlighted through several experimental results. (shrink)

We discuss a simple logic to describe one of our favourite games from childhood, hide and seek, and show how a simple addition of an equality constant to describe the winning condition of the seeker makes our logic undecidable. There are certain decidable fragments of first-order logic which behave in a similar fashion with respect to such a language extension, and we add a new modal variant to that class. We discuss the relative expressive power of the proposed logic in (...) comparison to the standard modal counterparts. We prove that the model checking problem for the resulting logic is \(\textsf{P}\) -complete. In addition, by exploring the connection with related product logics, we gain more insight towards having a better understanding of the subtleties of the proposed framework. (shrink)

The COVID-19 pandemic has exacerbated the drug poisoning epidemic in a number of ways: individuals use alone more often, there is decreased access to harm reduction services and there has been an increase in the toxicity of the unregulated drug supply. In response to the crisis, clinicians, policy makers and people who use drugs have been seeking ways to prevent the worst harms of unregulated opioid use. One prominent idea is safe supply. One form of safe supply enlists clinicians to (...) prescribe opioids so that people have access to drugs of known composition and strength. In this paper, we assess the ethical case for clinicians providing this service. As we describe, there is much that is unknown about safe supply. However, given the seriousness of the overdose death epidemic and the current limited evidence for safe supply’s efficacy, we argue that it is ethically permissible for clinicians to begin prescribing opioids for some select patients. (shrink)

Introduction: Intimate Partner Violence (IPV) has unfavorable consequences for women as well as for newborn babies, which is very serious and preventable public health problem. It is believed to have an excessive occurrence in lives of women in South Asia. The objective of this study is to describe the prevalence, risk factors and consequences of IPV in Bangladesh. Methods: A scoping review was carried out based on the past 12 years of posted and gray literature about IPV in Bangladesh using (...) Arksey and O’Malley’s framework. Only the literature addressing abuses or violence in households or outside including physical, sexual or mental violence on the married woman in Bangladesh were taken into consideration for the study. Results: The overall prevalence of IPV in Bangladesh, the latest reviews of rates ranging from 15.5-82.7%.Most of the IPV in Bangladesh was based totally on the experience of legally married women. The main risk factors of IPV in Bangladesh were women being younger, from lower socioeconomic reputation, from lower academic attainment and lower education of husband, dowry, child marriage, perceived disobedience of wives, family conflict, children had recently been ill, and incapability of to furnish sexual satisfaction. Maternal depressive symptoms, signs of stress, anxiety and constraint to the better health of young children are the main consequences of IPV in Bangladesh. Besides, IPV causes unwanted pregnancy, pregnancy loss in the form of miscarriage, induced abortion, or stillbirth and termination of pregnancy in Bangladesh. Conclusions: Woman’s empowerment may reduce IPV and understanding attitudes towards IPV in cultural context could be crucial for developing interventions to reduce IPV and its consequences. (shrink)

We show that within the class of ontological models due to Harrigan and Spekkens, those satisfying preparation-measurement reciprocity must allow indeterminism comparable to that in quantum theory. Our result implies that one can design quantum random number generator, for which it is impossible, even in principle, to construct a reciprocal deterministic model.

In this review article we discuss some of the applications of noncommutative geometry in physics that are of recent interest, such as noncommutative many-body systems, noncommutative extension of Special Theory of Relativity kinematics, twisted gauge theories and noncommutative gravity.

We make a proposal for formalizing simultaneous games at the abstraction level of player's powers, combining ideas from dynamic logic of sequential games and concurrent dynamic logic. We prove completeness for a new system of 'concurrent game logic' CDGL with respect to finite non-determined games. We also show how this system raises new mathematical issues, and throws light on branching quantifiers and independence-friendly evaluation games for first-order logic.

We make a proposal for formalizing simultaneous games at the abstraction level of player’s powers, combining ideas from dynamic logic of sequential games and concurrent dynamic logic. We prove completeness for a new system of ‘concurrent game logic’ CDGL with respect to finite non-determined games. We also show how this system raises new mathematical issues, and throws light on branching quantifiers and independence-friendly evaluation games for first-order logic.

India’s energy demand is predicted to rise by 135% within a span of 20 years. Coping up with surging energy demands requires several reforms in both renewable and non-renewable sectors. Factors such as rising population, reduction in the cost of renewable energy technology and their effect on the nation’s GDP, can make policy making a herculean task and the justification for such policies, quite opaque to the public. Artificial Intelligence technology can help decision makers to quickly draw conclusions from voluminous (...) datasets under different heads. However, AI results need to be post-processed so that they are easily understood by the layperson. This paper focuses on using Sankey diagrams as a post-processing tool for AI systems. Policy formulation often requires an overall assessment of energy sources, production pathways, end used destinations and wastage encountered—these can be easily visualized with a Sankey diagram. For this work, a Sankey protocol was written out in a form where a prompt asks the user to supply information through a spreadsheet interfaced with a customized mobile app—a first anywhere in the subcontinent. India’s mobile sector is vibrant, and the paper presents a enabling the user to have a handle on the dynamics of energy distribution locally. The app gives an instant feel of the apportioned energy across grids, the projected changes for the next decade, the efficiency and feasibility of each sector and lastly a telling visual representation showing the main strengths and weaknesses in the energy sector. (shrink)

Urbanization affects concurrent human-animal interactions as a result of altered resource availability and land use pattern, which leads to considerable ecological consequences. While some animals have lost their habitat due to urban encroachment, few of them managed to survive within the urban ecosystem by altering their natural behavioral patterns. The feeding repertoire of folivorous colobines, such as gray langur, largely consists of plant parts. However, these free-ranging langurs tend to be attuned to the processed high-calorie food sources to attain maximum (...) benefits within the concrete jungle having insignificant greenery. Therefore, besides understanding their population dynamics, the effective management of these urbanized, free-ranging, non-human primate populations also depends on their altered feeding habits. Here, we have used a field-based experimental setup that allows gray langurs to choose between processed and unprocessed food options, being independent of any inter-specific conflicts over resources due to food scarcity. The multinomial logit model reveals the choice-based decision-making of these free-ranging gray langurs in an urban settlement of West Bengal, India, where they have not only learned to recognize the human-provisioned processed food items as an alternative food source but also shown a keen interest in it. However, such a mismatch between the generalized feeding behavior of folivorous colobines and their specialized gut physiology reminds us of Liem's paradox and demands considerable scientific attention. While urbanization imposes tremendous survival challenges to these animals, it also opens up for various alternative options for surviving in close proximity to humans which is reflected in this study, and could guide us for the establishment of a sustainable urban ecosystem in the future. (shrink)

We have studied the dynamics and symmetries of a particle constrained to move in a torus knot. The Hamiltonian system turns out to be Second Class in Dirac’s formulation and the Dirac brackets yield novel noncommutative structures. The equations of motion are obtained for a path in general where the knot is present in the particle orbit but it is not restricted to a particular torus. We also study the motion when it is restricted to a specific torus. The rotational (...) symmetries are studied as well. We have also considered the behavior of small fluctuations of the particle motion about a fixed torus knot. (shrink)

A fundamental issue in philosophy of perception is to understand the nature of experience and the relation of the experience with objects or states of affairs that is experienced. A prominent philosophical issue here is posed by the possibility of hallucinatory experiences, which are subjectively indistinguishable from veridical perception for the experiencer. The philosophical views in this matter can be grouped into three major positions on the basis of the nature of the subjective experience and relation of the subjective experience (...) with the object. These are the sense-data theories—which consider that the objects of perception are mental entities; the representative theories—according to which perception is a representation of the objects in the external world; and the naïve realist theories—which proclaim that the external objects are constitutive of the very perceptual experience and not a representation of it. Naïve realism claims it is the defence of common-sense notion regarding experience i.e. how experience seems to the experiencer upon introspective reflection on it. This position has a growing number of proponents in philosophy especially in the last two decades. But it also entails radical departure of established philosophical views regarding the nature of experience, the phenomenal character of experience, and the experiencer–object relation. In this paper, we critically examine naïve realism from two crucial aspects pertaining to it—the question of introspection being basis of naïve realist thesis, and the notion of primacy of perception over non-veridical forms of experiences. We find that there are significant problems which weaken the naïve realist thesis. (shrink)

This paper studies the relationship between personal stock donation by top executives and board of directors (insiders) of publicly traded corporations and their personal tax, shareholders' returns, and social responsibility. The study finds evidence that the timing of stock donations is driven by personal tax gain. The study further shows, comparing stock gift corporations relative to their non-stock gift cohorts, that personal stock gifts are associated with lower short-term and long-term stock returns to shareholders. This implies that stock donation driven (...) by insiders' personal gain adversely affects shareholder wealth. However, the likelihood and intensity of insiders to make personal stock donation is reduced when firms have strong corporate social responsibility (CSR). Agency theory explains insiders' opportunistic behavior, stakeholder theory is also supported by evidence that stock donation is negatively related to CSR, and stewardship theory offers a different view to explain the rationale behind insiders' stock donation and shareholders' reactions to stock gifts. (shrink)

This paper studies the relationship between personal stock donation by top executives and board of directors (insiders) of publicly traded corporations and their personal tax, shareholders' returns, and social responsibility. The study finds evidence that the timing of stock donations is driven by personal tax gain. The study further shows, comparing stock gift corporations relative to their non‐stock gift cohorts, that personal stock gifts are associated with lower short‐term and long‐term stock returns to shareholders. This implies that stock donation driven (...) by insiders' personal gain adversely affects shareholder wealth. However, the likelihood and intensity of insiders to make personal stock donation is reduced when firms have strong corporate social responsibility (CSR). Agency theory explains insiders' opportunistic behavior, stakeholder theory is also supported by evidence that stock donation is negatively related to CSR, and stewardship theory offers a different view to explain the rationale behind insiders' stock donation and shareholders' reactions to stock gifts. (shrink)

In recent years, there has been a resurgent interest in the philosophical dimension of cultural products—cinema, in particular. Rather than analyzing the production, dissemination and reception of particular films through literary, cultural, sociological or psychological theories, one considers film as “doing the work” of theory/philosophy. This essay argues that cinema's possibility of being/becoming philosophy will emerge only if one remains open to the inconsistencies of the cinematic text, rather than seek to posit a mythical point of origin that reduces representation (...) to its effective functionality, thereby announcing the death of thinking. Following the ways in which Adorno and Horkheimer indicate the deep ontological significance of the myth of origin involved in the logic of Enlightenment, this essay attempts to offer responsibility, vigilance and hesitation as alternative ways of engaging with thought. Cinema, this essay finally claims, can offer a model with which thinking, as philosophy proper, can be recovered from its mythical origin. (shrink)

There are two important aspects of any democratic decision: aggregation of preferences and deliberation about preferences. They are essential and complementary components of any decision making process. While the well-studied process of aggregation focuses on accumulating individual preferences without discussing their origin [4], deliberation can be seen as a conversation through which individuals justify their preferences, a process that might lead to changes in their opinions as they get influenced by one another. Till now, there has been a lot of (...) work on the ‘aggregation’ aspect (e.g., [12, 14, 6]). However, some recent work has focussed on the deliberation aspect as well [8, 9, 10, 15]. Sometimes, deliberation does not lead to unanimity in preferences, but the discussion can lead to some ‘preference uniformity’ (see how deliberation can help in bypassing social choice theory’s impossibility results in [5]), which might facilitate their eventual aggregation. In addition, the combination of both processes provides a more realistic model for decision making scenarios. In light of this status quo, our focus is on the formal study of achieving such preference uniformities, e.g., single-peaked, single-caved, single-crossing, value-restricted, best-restricted, worst-restricted, medium-restricted, or group-separable profiles. In this short abstract we provide our preliminary ideas towards achieving singlepeakedness of preference profiles via deliberation. In what follows, we define two preference upgrade operators based on [8, 9] and provide a preliminary discussion on how single-peaked preference profiles can be achieved through such operations. We will delve into the details of the logical language in the main paper. (shrink)

Product Dimensions: 8.6 x 5.6 x 1.1 inches Description: Very little is known about the author of this book apart from the facts that he is a retired Government of India officer, now in his late nineties, apparently hoary, but healthy. When requested for more bio-data, he wrote back…The Real author of the Original Yoga is the Lord Siva. In the mundane world, Patanjali is the prime propagator of yoga. Any other claim to authorship, therefore, cannot but be spurious. …It (...) is Truth that matters, not the utterer of the Truth. No Truth ever becomes a bit truer even when repeated by the most distinguished person. …Hence all genuine aspirants of yoga should be content to remain unknown and unnoticed by others. His other published work is Hindu Concept of Life and Death. (shrink)

Architectural style is a medium for the promotion of cultural identities and cohesion. South Asian Association for Regional Cooperation nations provide a prism through which all forms of vernacular architecture can be viewed. This study is presented through the lens of the soul of the eye coupled with the power of technological probing. This synthesis affords a most appealing and lyrical exploration of the course of the development of cities within the SAARC nations. It showcases research results combining the above (...) stated synergy—starting from some of SAARC’s sophisticated historic cultures, cultures that ebbed and flowed along its shores and valleys. This paper shall touch upon unique cultural roots stretching back to the Dravidian civilization that flourished over 3500 years ago and also look at the grouping of houses within the Indus Valley Civilization in Lothal and the Sarasvati Valley Civilization in Kalibangan. The sensitivity underlying SAARC architecture and its traditions are seen in many communal settlements, profoundly so in the Indian subcontinent and in Sri Lanka. The paper shall showcase two specific, but nevertheless, distinct styles of communal functioning within unique architectural strongholds in the ancient Ratnagiri University in Odisha, India, and also touch upon a unique blend of styles of landscape architecture in Sri Lanka. The overarching emphasis of this study is that throughout SAARC’s history, architecture has been creatively adopted to the need of its users and the characteristics of its climate and location. It has always fulfilled the needs and nourished the spirit of its people, promoting cultural cohesion even today. In this context, it is interesting to explore traditional techniques of vernacular architecture in houses in Andhra, Tamil Nadu and Kerala. The common thread linking mass housing in Lothal, Kalibangan, Anuradhapura and Ratnagiri about 2 millennia ago, with present day housing patterns, is in the application of sustainable building practices using intelligent building forms, fabric and orientation. This paper explores this commonality from a modern perspective using CFD. As the SAARC countries still struggle to get a fuller understanding of their unique ecology and the complexity of their diverse cultures, revisiting the architectural legacy of their indigenous societies might prove insightful. The need for this revisit becomes even more relevant in the wake of the Paris Agreement and more recently the Kigali Agreement. The discourse on providing indoor thermal comfort to the SAARC people cannot be decoupled from the climate change story—heating, ventilation and cooling consume a large amount of energy and have a deep underlying link with the targets set at Paris and Kigali. The onus will be on a large number of stakeholders to meet these targets—engineers, architects, manufacturers, policy-makers, researchers and consumers. This paper aims at reminding the stakeholders of the richness and the usefulness of their vernacular architecture in upholding the ideal of sustainability. (shrink)

Minichromosome maintenance (Mcm) proteins are well‐known for their functions in DNA replication. However, their roles in chromosome segregation are yet to be reviewed in detail. Following the discovery in 1984, a group of Mcm proteins, known as the ARS‐nonspecific group consisting of Mcm13, Mcm16‐19, and Mcm21‐22, were characterized as bonafide kinetochore proteins and were shown to play significant roles in the kinetochore assembly and high‐fidelity chromosome segregation. This review focuses on the structure, function, and evolution of this group of Mcm (...) proteins. Our in silico analysis of the physical interactors of these proteins reveals that they share non‐overlapping functions despite being copurified in biochemically stable complexes. We have discussed the contrasting results reported in the literature and experimental strategies to address them. Taken together, this review focuses on the structure‐function of the ARS‐nonspecific Mcm proteins and their evolutionary flexibility to maintain genome stability in various organisms. (shrink)