Pioneering research has pinpointed key vacuolar transporters in citrus fruits that regulate taste by balancing citric acid and sugar levels. This discovery illuminates the genetic pathways controlling flavor, laying the groundwork for cultivating citrus varieties with optimized sweetness and acidity--a promising development for both consumers and the agricultural sector.

Programmers solve problems. How they solve each problem is a function of their skill, talent, knowledge & time. The resultant solution will resolve the problem with greater or lesser complexity in the design. Thus, I find thinking about how (and more importantly where) complexity is handled, a useful way to evaluate a design. For this I use the time-honored technique of having three levels:

Level Zero

(Below this level, the problem is not solved)

The programmer has provided a solution. However, the interface is a mine-field; click things in the wrong order, the program crashes. Or it works great, but you need to reread the documentation Every. Single. Time. Or the resultant surrounding workflow is a Rube Goldberg device. However it surfaces, the programmer has placed the complexity on the user.

Level One

The interface is well thought out and reasonably intuitive. Controls work as expected and the solution is robust - even bulletproof. The solution not only fits the larger context, it improves it. The code itself however, is hard to change (or even understand). It is not well-organized; Or is, but full of tricky, interleaved logic. Or over-engineered, over-patterned etc. Here, the programmer has placed the complexity on the maintainer.[1]

Level Two

The burden of managing complexity is on the current programmer. The person writing the code takes the time and employs the talent and skill necessary to find an elegant solution that reduces the code to the minimum complexity needed to solve the problem and does so in such a way that is understandable (and changeable) later: The user gains the benefits of a level 1 design, while maintainers are left with clean code to change.[2]

Implications

Level zero code is common; it's the default for new programmers and an uncomfortable amount of commercial software. The thing of it is: Too often this sort of code is derided (including by me) when there is both a de facto and a cost-benefit rationale for managing complexity this way. Short-term projects are one example; software written for one's own use is another.

Level 1 software can be very valuable and enduring. I tend to equate this type of code with the Hacker ethic in all senses of that term. And I don't mean that pejoratively - we all use hacked together solutions every day and much of the world's technology infrastructure is built on it. It is a practical and stable design level.

Having the skill (and the time) to write level 2 code is a rare and wonderful thing. Amidst the hyperbole, aspiring to be such a programmer is at the heart of the "Software as Craft" movement and is a worthwhile goal for anyone who aspires to be a professional programmer.

I don't believe level 2 is inherently better than a level 1 (or level zero!) - it's about context - however, I think that for regularly edited and changed code (i.e. much IT software), this level of skill is what's implicitly expected (if not gotten) by the customer. Ironically, the time needed is often the first thing that goes as a non-technical customer can only assess code quality based on level 1 considerations and so pushes for faster results because everything "looks" OK. Only later - when their investment can't be changed without major overhaul - do they realize there is something wrong. And so the cycle continues...

Summary

This model is handy in several situations including: Judging the quality of an actual solution; choosing among different solutions to a given problem; estimating - and even when to stop refactoring. And while I don't believe that all code should be worked until it exhibits level 2 quality, it is what I want others to think of the code I leave behind. And it is what I hope to encounter in theirs. That said, being a successful professional programmer requires (among many other things) the ability to write all three levels of code, and the judgment to know when each is appropriate to use.

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[1] This may well be the same person who wrote the code. The essential characteristic of a level 1 design is that complexity is put off to future efforts, not the current one. Thus level 1 designs tend to be high in technical debt.

[2]How the programmer achieves this is a matter of personal preference and technique. I do not subscribe to the notion that any particular set of programming practices provides this - or inhibit it by their absence. It has always been the people, not their practices that is the essential determinant of quality. Anyone who says different, is selling something.

Cloud computing has driven, and continues to drive, a paradigm shift for enterprise IT. Mastering the cloud has become essential for businesses amp;hellip; but what does that mean, and how can it be achieved? In a recent report titled 'From Taming Cloud Complexity to Achieving Cloud Mastery,'amp;nbsp;EPAM Continuum, the integrated business, technology and experience consulting practice of EPAM Systems, Inc. (NYSE: EPAM),amp;nbsp;answers the most pressing questions on the topic and reveals how to achieve the ultimate goal, mastering cloud complexity.

Human beings are complex; grace is time insensitive; and we are coworkers with God.

We investigate ambiguity for symmetric difference nondeterministic finite automata. We show the existence of unambiguous, finitely ambiguous, polynomially ambiguous and exponentially ambiguous symmetric difference nondeterministic finite automata. We show that, for each of these classes, there is a family of n-state nondeterministic finite automata such that the smallest equivalent deterministic finite automata have O(2ⁿ) states.

Teaching advanced programming can be a challenge, especially when the students are pursuing different majors with diverse analytical and problem-solving capabilities. The purpose of this paper is to explore the efficacy of using a particular problem as a vehicle for imparting a broad set of programming concepts and problem-solving techniques. We present a classic brain teaser that is used to communicate and demonstrate advanced software development concepts and techniques. Our results show that students with varied academic experiences and goals, assuming at least one procedural/structured programming pre-requisite, can benefit from and also be challenged by such an exercise. Although this problem has been used by others in the classroom, we believe that our use of this problem in imparting such a broad range of topics to a diverse student population is unique.

Copying and duplicating papers for educational purposes is a violation form of copyright in Indonesia. The principle of fair use in education is a form of structured violation. Copying and duplicating the papers of the authors for educational purposes has provided commercial (business) benefits for libraries and universities. The research method is conducted using the observation method in libraries and universities that duplicate papers. The method also uses the normative juridical method that connects duplication of the papers in libraries and universities with the fair use principle. The results explain the authors' loss from copying and duplicating of papers in libraries and universities. Therefore, copying and duplicating the papers can only be done by implementing the responsibility system. Copying and duplicating the papers of the authors' in libraries and universities can be allowed if they fulfil the elements of copyright protection in the new concept.

Aim/Purpose We establish a conceptually rigorous definition for the widely used but loosely defined term “fitness”. We then tie this definition to complexity, highlighting a number of important implications for the informing science transdiscipline. Background As informing science increasingly incorporates concepts of fitness and complexity in its research stream, rigorous discussion and definition of both terms is essential to effective communication. Methodology Our analysis consists principally of a synthesis of past work in the informing science field that incorporates concepts from evolutionary biology, economics and management. Contribution We provide a rigorous approach to defining fitness and introduce the construct “extrinsic complexity”, as a measure of the amount of information required to predict fitness, to more fully differentiate this form of complexity from other complexity constructs. We draw a number of conclusions regarding how behaviors under low and high extrinsic complexity will differ. Findings High extrinsic complexity environments are likely to produce behaviors that include resistance to change, imitation, turbulence and inequality. Recommendations for Practitioners As extrinsic complexity grows, effective search for problem solutions will increasingly dominate employing recommended solutions of “best practices”. Recommendation for Researchers As extrinsic complexity grows, research tools that rely on decomposing individual effects and hypothesis testing become increasingly unreliable. Impact on Society We raise concerns about society’s continuing investment in academic research that discounts the extrinsic complexity of the domains under study. Future Research We highlight a need for research to operationalize the concepts of fitness and complexity in practice.

Aim/Purpose: Given that leadership has been shown to play a key role in knowledge-producing organizations, leaders of transdisciplinary science have received surprisingly little empirical attention. This study addresses the research gap by examining leadership in the context of a new transdisciplinary research organization. Background: Drawing on complexity leadership theory—a framework developed for identifying behaviors that facilitate creativity, learning, and adaptability in complex adaptive systems—this study examines leadership roles and practices that affect the generation of adaptive dynamics in transdisciplinary science. Methodology: The study is based on a longitudinal, qualitative in-depth case study on a newly formed transdisciplinary research center and its leadership team. The data includes ethnographic observations from leadership meetings and interviews with leaders. Contribution: This unique empirical case contributes to the study of transdisciplinary science by shedding light on the actions of academic leaders as they try to support transdisciplinary conversation, learning, and collaboration in a new center. Findings: The analysis shows that the leaders relied on both enabling and administrative leadership practices in a way that made them the focal point of transdisciplinary knowledge integration and thus jeopardized the creation of adaptive dynamics throughout the organization. Recommendations for Practitioners: The study highlights the importance of having knowledge brokers and hybrid scholars in strategic positions at different levels of the transdisciplinary research organization already in its early stages. Recommendation for Researchers: Longitudinal qualitative case studies that rely on different types of data provide rich information on how new leadership conceptualizations are implemented in organizations and the complex ways in which they relate to knowledge creation processes and outcomes. Impact on Society: Transdisciplinary science has the potential to find cures to complex diseases. Understanding leadership in transdisciplinary science can help in maintaining transdisciplinary research activities in the long run and thus make it more impactful. Future Research: The use of leadership roles and practices will be examined at different developmental stages in the transdisciplinary research process.

Aim/Purpose: Provides a theoretical model as to where we should source our information as the environment becomes more complex. Background: Develops a theoretical model built on extrinsic complexity and offers a conceptual scheme relating to the relative value of different sources. Methodology: The paper is purely conceptual in nature. Contribution: Develops a model that could be tested relating to where clients should search for information. Findings: Arguments can be made that different environments warrant different priorities for informing sources. Recommendations for Practitioners: Assess how your sources of information match your perceived environment. Recommendation for Researchers: Consider developing research designs to test the proposed model. Impact on Society: Offers a new way of thinking about informing sources. Future Research: Develop propositions from the model that could be empirically tested in future research.

Aim/Purpose: With a focus on promoting sustainable career paths, this article investigates the intricate relationship between age diversity management and techno-complexity, emphasizing the pivotal role of a supportive work environment. Background: In the modern workplace, the dynamics of age diversity emerge as a crucial element influencing the well-being and productivity of employees, particularly amidst the swiftly evolving digital landscape. This becomes especially pertinent when considering workers’ unique challenges adapting to technological advancements. Methodology: Utilizing a cross-sectional design, data were collected from 160 employees in an Italian multinational company within the metalworking sector. Contribution: This study provides valuable insights into the complex dynamics between the aging climate, colleagues’ support, and techno-complexity. It emphasized the importance of considering the direct effects of organizational factors and their in-direct influences through social dynamics and support structures within the workplace. Findings: The results revealed the mediating role of colleagues’ support in the relationship between the aging climate and techno-complexity. These findings highlight the importance of a supportive work environment in the context of sustainable career development, contributing to a comprehensive understanding of diversity management within the modern digital era. Recommendation for Researchers: Our results open to a series of implications and future directions. First, the unexpected finding regarding the direct relationship between the aging climate and technostress calls for a deeper exploration of the intricacies involved. Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship. Future Research: Future studies could delve into specific organizational contexts, technological demands, and individual differences that may modulate this relationship.

Aim/Purpose: To provide a systematic approach to defining task complexity using a three worlds model previously introduced in informing science research. Background: The task complexity construct presents researchers with a quandary. While it appears useful on the surface, repeated attempts to define it rigorously have failed to gain traction in the broader research community. The level of inconsistency between definitions is shown to have changed little in the past 20 years. Methodology: Using a common framework that treats task complexity as a latent construct residing between sources and outcomes, moderated by both task familiarity and task discretion, separate models for each of the three worlds are developed. Contribution: Our paper proposes a potential path forward by showing how many issues in past task complexity research can be reconciled by framing the construct according to the three worlds model: the world we experience, the world of human artifacts, and the “real world.” Findings: The framework defines experienced complexity as occurring in the mind of the task performer while performing a single task instance, intrinsic complexity as a function of the internal characteristics of the problem space used to perform a bounded set of task instances, and extrinsic complexity as the ruggedness of the fitness landscape in which the task is performed. Recommendation for Researchers: It offers a path to convergence for definitions of task complexity. Future Research: The three worlds of task complexity can potentially be applied to many practical problems.

Aim/Purpose: In this paper we propose a framework identifying many of the unintended consequences of information technology and posit that the increased complexity brought about by IT is a proximate cause for these negative effects. Background: Builds upon the three-world model that has been evolving within the informing science transdiscipline. Methodology: We separate complexity into three categories: experienced complexity, intrinsic complexity, and extrinsic complexity. With the complexity cycle in mind, we consider how increasing complexity of all three forms can lead to unintended consequences at the individual, task and system levels. Examples of these consequences are discussed at the individual level (e.g., deskilling, barriers to advancement), the task level (e.g., perpetuation of past practices), as well as broader consequences that may result from the need to function in an environment that is more extrinsically complex (e.g., erosion of predictable causality, shortened time horizons, inequality, tribalism). We conclude by reflecting on the implications of attempting to manage or limit increases of complexity. Contribution: Shows how many unintended consequences of IT could be attributed to growing complexity. Findings: We find that these three forms of complexity feed into one another resulting in a positive feedback loop that we term the Complexity Cycle. As examples, we analyze ChatGPT, blockchain and quantum computing, through the lens of the complexity cycle, speculating how experienced complexity can lead to greater intrinsic complexity in task performance through the incorporation of IT which, in turn, increases the extrinsic complexity of the economic/technological environment. Recommendations for Practitioners: Consider treating increasing task complexity as an externality that should be considered as new systems are developed and deployed. Recommendation for Researchers: Provides opportunities for empirical investigation of the proposed model. Impact on Society: Systemic risks of complexity are proposed along with some proposals regarding how they might be addressed. Future Research: Empirical investigation of the proposed model and the degree to which cognitive changes created by the proposed complexity cycle are necessarily problematic.

The law of requisite variety is widely employed in management theorizing, and is linked with core strategy themes such as contingency and fit. We reflect upon requisite variety as an archetypal borrowed concept. We contrast its premises with insights from institutional and commitment literatures, draw propositions that set boundaries to its applicability, and review the ramifications of what we term "complexity misalignment." In this way, we contradict foundational assumptions of the law, problematize adaptation- and survival-centric views of strategizing, and theorize the role of human agency in variously complex regimes.

With the continuous and rapid evolution of the technological era, digital currencies are gaining popularity daily. They have been gaining traction from the past half-decade. Despite the fluctuations in bitcoin and other cryptocurrencies' value, more and more people start seeing cryptocurrency as a profitable investment. For instance, if we talk about Bitcoin, one of the most popular types of cryptocurrency, it has taken over the digital currency market. If we further discuss its fame, you'll see that it is being used in some of the biggest business names around the globe, including Microsoft, Overstock, and AT&T, now accept it as a method of payment. Here, you might be thinking, why do people use cryptocurrency and cryptocurrency wallets? What are their pros and cons? Is it worth investing in cryptocurrency wallets in 2020? If you have such questions, get them answered here. But first, let us tell you about the MOST USEFUL cryptocurrency wallets. A lot of wallets are designed solely for the storage of cryptocurrencies. At a time when there was a peak in online currency exchanges and thefts, there was a need to create a wallet that will provide ultimate protection. OWNR Wallet is one of the safest bitcoin wallets to buy crypto in 2020. It helps people in keeping their digital money safe from external threats. Along with security, OWNR Wallet offers a variety of useful features for both holders and traders.

Added October 19, 2006:

According to a recent survey conducted by TechBehemoths between February 19 - March 6, 2024.

AI, despite its hype, often causes delays in manufacturers' automation strategies due to confusion and fear. Fundamentally, AI complements machine vision, which uses handcrafted algorithms needing new formulas and trial-and-error development for each product type or feature.

Women of color want demographic and political representation, just as wealthy white men have had for generations.

Financial literacy in Singapore has not been analysed in much detail, despite the fact that this is one of the world’s most rapidly aging nations. In this podcast, Professor of Finance Benedict Koh from the SMU Lee Kong Chian School of Business, discusses the key findings of his research jointly conducted with Olivia Mitchell from the University of Pennsylvania and Susann Rohwedder, Senior Economist at the RAND Corporation and Associate Director of the RAND Center for the Study of Aging. Using a unique new data-set and nationally representative survey - the Singapore Life Panel, they conducted an analysis of older Singaporeans’ financial literacy. Here, Professor Koh discusses his key findings, including: Do older Singaporeans score better on financial knowledge compared to their counterparts in the United States? What are the empirical linkages between financial literacy and retirement preparedness in Singapore? And is financial literacy positively associated with greater wealth and diversity of portfolios?

There is little in our lives that does not rely on software. That has been the reality for quite some time, and it will be even more true as self-driving cars and similar technologies become an even greater part of our lives. But as our reliance on software grows, so does the potential for disaster as software becomes increasingly complex.

In September 2017 The Atlantic magazine featured “The Coming Software Apocalypse,” an article by James Somers, that offers a fascinating and sobering look at how rampant code complexity has caused massive failures in critical software systems, like the 2014 incident that left the entire state of Washington without 911 emergency call-in services until the problem was traced to software running on a server in Colorado.

One of the people interviewed in that Atlantic article was Chris Newcombe, an expert in dealing with software complexity. Chris, an architect on the Oracle Bare Metal infrastructure as a service team,  is one of the panelists for the discussion you are about to hear. Chris is joined by Java Champion and microservices expert Chris Richardson, Java Champion Adam Bein, and Oracle ACE Director and Developer Champion Lucas Jellema. The conversation focuses on what developers can do to combat complexity.

In a 5-month period beginning in late 2018, two Boeing 737 Max aircraft crashed in similar circumstances, killing 343 people. Investigators determined that in each case the crash was caused by problems with flight control software unique to that aircraft model. All 737 Max aircraft were subsequently grounded, where they remain, and the story remains in the news. This podcast, a rebroadcast of a show published on March 21, 2018, looks at the increasing complexity in software, and at what can be done to reduce that complexity and increase safety.

JSTP-IPVB-ACC - Analysis of the cost and complexity of IP video broadcast (IPVB) technology

M. A. Stepanova
Trans. Moscow Math. Soc. 83 (), 1-13.
Abstract, references and article information

The complexity and dynamics of the immensely heterogeneous glycoproteome of the prostate cancer (PCa) tumour micro-environment remain incompletely mapped, a knowledge gap that impedes our molecular-level understanding of the disease. To this end, we have used sensitive glycomics and glycoproteomics to map the protein-, cell- and tumour grade-specific N- and O-glycosylation in surgically-removed PCa tissues spanning five histological grades (n = 10/grade) and tissues from patients with benign prostatic hyperplasia (n = 5). Quantitative glycomics revealed PCa grade-specific alterations of the oligomannosidic-, paucimannosidic- and branched sialylated complex-type N-glycans, and dynamic remodelling of the sialylated core 1- and core 2-type O-glycome. Deep quantitative glycoproteomics identified ~7,400 unique N-glycopeptides from 500 N-glycoproteins and ~500 unique O-glycopeptides from nearly 200 O-glycoproteins. With reference to a recent Tissue and Blood Atlas, our data indicate that paucimannosidic glycans of the PCa tissues arise mainly from immune cell-derived glycoproteins. Further, the grade-specific PCa glycosylation arises primarily from dynamics in the cellular makeup of the PCa tumour microenvironment across grades involving increased oligomannosylation of prostate-derived glycoproteins and decreased bisecting GlcNAcylation of N-glycans carried by the extracellular matrix proteins. Further, elevated expression of several oligosaccharyltransferase subunits and enhanced N-glycoprotein site occupancy were observed associated with PCa progression. Finally, correlations between the protein-specific glycosylation and PCa progression were observed including increased site-specific core 2-type O-glycosylation of collagen VI. In conclusion, integrated glycomics and glycoproteomics have enabled new insight into the complexity and dynamics of the tissue glycoproteome associated with PCa progression generating an important resource to explore the underpinning disease mechanisms.

Umut Güçlü
Jul 8, 2015; 35:10005-10014
BehavioralSystemsCognitive

CAD And Simulation Help Company Reduce Design Cycle By 40 Percent And Cut Design Costs 60 Percent

Mapping transcriptomic variations using either short- or long-read RNA sequencing is a staple of genomic research. Long reads are able to capture entire isoforms and overcome repetitive regions, whereas short reads still provide improved coverage and error rates. Yet, open questions remain, such as how to quantitatively compare the technologies, can we combine them, and what is the benefit of such a combined view? We tackle these questions by first creating a pipeline to assess matched long- and short-read data using a variety of transcriptome statistics. We find that across data sets, algorithms, and technologies, matched short-read data detects ~30% more splice junctions, such that ~10%–30% of the splice junctions included at ≥20% by short reads are missed by long reads. In contrast, long reads detect many more intron-retention events and can detect full isoforms, pointing to the benefit of combining the technologies. We introduce MAJIQ-L, an extension of the MAJIQ software, to enable a unified view of transcriptome variations from both technologies and demonstrate its benefits. Our software can be used to assess any future long-read technology or algorithm and can be combined with short-read data for improved transcriptome analysis.

By Ankit Mahadevia, former CEO of Spero Therapeutics, as part of the From The Trenches feature of LifeSciVC Drug development is complex. So is running a business. Sometimes, the work of doing both can make your head spin. In my

The post Boiling It Down: Conveying Complexity For Decision-makers appeared first on LifeSciVC.

Nature-based Solutions (NbS) are a hot topic in environment and landscape planning networks. But are they a silver bullet for solving the climate crisis?

The post Greening gray infrastructure: uncovering the complexity of Nature-based Solutions first appeared on International Water Management Institute (IWMI).

BRANDED CONTENT | Produced by WIRED Brand Lab for Jim Beam Black | Comedian Chris Redd tests whether high-tech bar tools help make a tastier cocktail. #sponsored by Jim Beam Black®

IOP Publishing Limited

Tax incentives are used widely across OECD countries to incentivise individuals to invest in education and training, but are they effective? Recent evidence from the USA highlights the risk of creating overly complex systems in which the embedded incentives are no longer fully understood by individuals. This carries an important lesson for other countries in designing their own tax measures for skills investments.

The world’s growing complexity and diversity present both opportunity and challenge. On the one hand, globalization can bring important new perspectives, innovation, and improved living standards. But on the other, it can also contribute to economic inequality, social division, and conflict.

The global challenges of poverty eradication, environmental sustainability, climate change, and sustainable and secure energy are all intimately linked to cities, which are simultaneously places where these global problems emerge and solutions can be found. Blog by Ricardo Herranz, Nommon Solutions and Technologies, Madrid.

The crystal structure of ilmajokite, a rare Na-K-Ba-Ce-titanosilicate from the Khibiny mountains, Kola peninsula, Russia, has been solved using single-crystal X-ray diffraction data. The crystal structure is based on a 3D titanosilicate framework consisting of trigonal prismatic titanosilicate (TPTS) clusters centered by Ce3+ in [9]-coordination. Four adjacent TPTS clusters are linked into four-membered rings within the (010) plane and connected via ribbons parallel to 101. The ribbons are organized into layers parallel to (010) and modulated along the a axis with a modulation wavelength of csinβ = 32.91 Å and an amplitude of ∼b/2 = 13.89 Å. The layers are linked by additional silicate tetrahedra. Na+, K+, Ba2+ and H2O groups occur in the framework cavities and have different occupancies and coordination environments. The crystal structure of ilmajokite can be separated into eight hierarchical levels: atoms, coordination polyhedra, TPTS clusters, rings, ribbons, layers, the framework and the whole structure. The information-based analysis allows estimation of the complexity of the structure as 8.468 bits per atom and 11990.129 bits per cell. According to this analysis, ilmajokite is the third-most complex mineral known to date after ewingite and morrisonite, and is the most complex mineral framework structure, comparable in complexity to paulingite-(Ca) (11 590.532 bits per cell).

Using mineralogical data, it is demonstrated that chemical simplicity measured as an amount of Shannon information per atom on average corresponds to higher symmetry measured as an order of the point group of a mineral, which provides a modern formulation of the Fedorov–Groth law.

Greenland’s four major glaciers could contribute 19 to 30 mm to sea level rise by 2200, according to a new study. The researchers developed a sophisticated model which provides new insight into the effects of climate change on Greenland’s glaciers, by capturing the complex processes involved in their movement and melt.

Both VMware and Citrix have partnered with Samsung around new Galaxy S8 smartphone through the integration of their enterprise mobility solutions with Samsung DeX platform

A new international policy regime for sustainable forest management may complicate matters rather than provide solutions, according to a new report. It suggests there should be better co-ordination of existing hard and soft policy options and between the numerous organisations involved in forest management.

The Connectivity Center is devoted to the down-to-earth sector of data security solutions – the thousands of physical points of access that connect vital data network and information systems.

Architectural capabilities are an important subset of dynamic capabilities that enable managers to see a complex technical system in an abstract way.