UAV image and event datasets, and experimental inputs accompanying Cross-Layer Agile Modeling for Sensing-Computing Collaborative Brain-inspired Vision Systems.The data comprise 20 archives as downloa…
UAV image and event datasets, and experimental inputs accompanying Cross-Layer Agile Modeling for Sensing-Computing Collaborative Brain-inspired Vision Systems.The data comprise 20 archives as downloaded, 7 partially recovered archives, and 1,545 experimental input files in workloads.tar.gz. Archives named .recovered.zip contain only the recovered subset; these datasets are incomplete.Large archives are provided in numbered parts. Download all files into one directory and run python restore_data.py /path/to/Cross-Layer-Agile-Modeling to restore the dataset paths. The script checks each part and verifies that every restored archive matches its original SHA-256 hash in data_index.csv.Code and panel results: Cross-Layer-Agile-Modeling.
De-gendering Motherhood: A Critical Examination of Nissan India's #Spirit of Motherhood Advertisement
September, 2026 • Journal article • Indian Journal of Mass Communication and Journalism (IJMCJ)
Mr. Anto Hemanth A
Abstract: In light of evolving critical perspectives shaped by modern political ideologies, particularly the feminist goal of gender equality, the long-prevailing identities, roles, norms, and several…
Abstract: In light of evolving critical perspectives shaped by modern political ideologies, particularly the feminist goal of gender equality, the long-prevailing identities, roles, norms, and several practices within a society have been subject to transformative changes. Media has long been a key vehicle for such transformative change, spreading reformative ideological values through its narrative power and impact. Often regarded as a foundational pillar of popular culture, media encompasses diverse digital forms, including television shows, films, web series, advertisements, and social media applications. This study explores how Indian advertisements have broken gender stereotypes and positively reshaped societal attitudes through strategic narrative techniques and emotionally resonant representations. Using a theoretical framework grounded in Judith Butler’s concept of gender performativity, this study examines Nissan’s #SpiritOfMotherhood (2017) advertisement, which aims to degender motherhood by decoupling it from ‘womanhood’. Drawing on Sara Ruddick’s idea of mothering as a practice, it examines how the advertisement constructs and represents the maternal bond and care. This study emphasises a shifting paradigm of motherhood by redefining ‘mothering’ as a non-gendered, or gender-neutral, performance that justifies maternal care.
Les interventions intensives peuvent être associées à des changements visibles pendant ou immédiatement après l’expérience. Ces changements ne permettent…
Les interventions intensives peuvent être associées à des changements visibles pendant ou immédiatement après l’expérience. Ces changements ne permettent toutefois pas, à eux seuls, de conclure à l’existence d’une transformation durable. Cette Note CIRITS propose de déplacer l’unité d’analyse : du changement observé à la trajectoire du changement. Elle définit provisoirement une trajectoire transformationnelle comme l’évolution temporelle et contextuelle d’un ensemble de changements psychosociaux, relationnels, comportementaux ou identitaires, confrontés aux conditions de la vie ordinaire et à ses perturbations. Le cadre proposé articule cinq axes descriptifs : intensité, diversité, persistance, généralisation intercontextuelle et robustesse aux perturbations. Il formalise également les notions exploratoires d’écologie de consolidation, de latence transformationnelle, de réactivation et de réorganisation. L’originalité revendiquée ne réside pas dans chacun de ces phénomènes pris isolément, mais dans leur articulation au sein d’un cadre longitudinal commun destiné à produire des hypothèses comparables, falsifiables et progressivement testables.
Suppose a vector is observed through two families of linear measurements: a native family that we already control and a target family that we would like to control. How much of the target response is …
Suppose a vector is observed through two families of linear measurements: a native family that we already control and a target family that we would like to control. How much of the target response is left unexplained by the native measurements? We answer this question on finite-dimensional real or complex Hilbert spaces carrying a positive semidefinite energy. The answer is the adequacy residual, a generalized Schur complement whose quadratic form gives, for each combination of target measurements, the largest squared response at energy at most one that is invisible to the native family. We show that the residual is the smallest error left by any linear prediction of the target from the native measurements, that it vanishes exactly when the target factors through the native family, and that it obeys a Schur chain rule when measurements are added. We then give explicit, checkable conditions for three practical tasks: shrinking the residual by a fixed fraction with added measurements, deciding exactly which directions a restriction of the space must keep, and recovering an estimate after it has been transported to another space. Appendices treat sequences of such estimates. Energies may be singular, provided the measurements vanish on zero-energy vectors. The results are checked in Lean 4 with Mathlib.
Six Birds Theoryadequacy residualblind-spot currencySchur complementMoore–Penrose pseudoinverse
Audited Operational Realisability: Canonical Inference Closure and Evidence-Preserving Composition
September, 2026 • Preprint
Tsiokos, Ioannis
Conditional mathematical arguments need careful bookkeeping: which obligations were incurred, which have been addressed, and which were addressed in a way that actually proves the target. Audited Oper…
Conditional mathematical arguments need careful bookkeeping: which obligations were incurred, which have been addressed, and which were addressed in a way that actually proves the target. Audited Operational Realisability (AOR) is a mathematical theory of this bookkeeping. An audit state consists of demanded records and stored certificates; each certificate carries a status, such as budgeted or blocked, and a payload whose meaning is fixed in advance. We separate three conclusions that are easily conflated. Inference closure registers every dependency of a demanded record, accounting requires a stored certificate for each demanded or dependency-reachable record, and delivery requires a certificate whose status an explicit consumer policy accepts as proving its target. A certificate recording that a budget is exceeded accounts for the obligation but does not deliver feasibility to a consumer who requires it. We prove that inference closure is a reflection that creates no evidence, in a category whose arrows preserve certificates exactly, and that this category has colimits in which every accepted certificate is already stored at some object of the diagram. For operations that add evidence, we prove finite completion under a decreasing rank and confluence under replayability, and we strictly separate accounting, recoverability, and uniform quantitative control. Retained evidence passes to increasing unions, and witnesses pass to limits under compactness and closed validity, provided an accepted payload is returned at the limit; without compactness they may escape. Two examples mark the boundary of accounting: a query system that pays its declared costs, is accounted, and identifies each hidden world along its exhaustive run, yet admits no finite-stage guarantee uniform over all worlds; and a Lipschitz target whose shrinking finite-prefix certificates, priced within a summable credit, are all accepted, with centers converging to the target. The stated structural results are formalized in Lean 4; the analytic estimates of applications remain explicit hypotheses.
A needle is a persistent obstruction: a direction in which a declared budget is violated, typically because the available measurements cannot see or explain the response in that direction. We give a l…
A needle is a persistent obstruction: a direction in which a declared budget is violated, typically because the available measurements cannot see or explain the response in that direction. We give a linear-algebraic account of when a richer family of measurements removes such an obstruction. Measurements are linear maps on a space carrying a positive semidefinite energy. The currency of a measurement family is the positive operator whose quadratic forms are its largest squared responses at energy at most one, and an obstruction is a direction in which a currency exceeds a declared budget. The first main theorem bounds the currency of a target family, after transport to a common space, by combining three separately proved estimates: a bound for the native measurements, a bound for the part of the target they cannot explain (the adequacy residual), and a transport estimate. The second main theorem works in infinite-dimensional Hilbert space. If the part of an object readout that changes sign under an involution is dominated by positive budgets whose traces tend to zero, then almost every object lies on the fixed locus of the involution. We then construct parts of the hypotheses of these theorems in useful cases: a Schur formula for minimum energy with its exact legality conditions, exhaustion by increasing Hilbert windows with explicitly paid cross terms, forward transfer along isometric bridges with errors tracked through chains, and a greedy selection of measurements from a finite dictionary that drives the residual to zero at a geometric rate when the dictionary satisfies a lower frame bound on the initially hidden directions. Examples from the Riemann hypothesis and the Navier–Stokes equations identify exactly which analytic estimates such applications would still have to prove; we prove neither conjecture. The principal abstract results are formalized in Lean 4.
Six Birds Theoryformed-layer membraneemergencedissolutionadequacy residual
BOSHLANG'ICH TA'LIMDA MUSTAQIL TA'LIM SHAKLLARINI SAMARADORLIGINI OSHIRISH MEXANIZMLARI
September, 2026 • Publication • YANGI OʻZBEKISTON PEDAGOGLARI AXBOROTNOMASI
Mamayusupova, M.Q.
Mazkur maqolada boshlang‘ich ta’lim tizimida mustaqil ta’lim shakllarini tashkil etishning pedagogik asoslari, ularning o‘quvchilar intellektual rivojlanishidagi o‘rni ha…
Mazkur maqolada boshlang‘ich ta’lim tizimida mustaqil ta’lim shakllarini tashkil etishning pedagogik asoslari, ularning o‘quvchilar intellektual rivojlanishidagi o‘rni hamda mustaqil ta’lim mexanizmlarini takomillashtirish masalalari yoritilgan. Shuningdek, mustaqil ta’lim jarayonida innovatsion pedagogik texnologiyalar, interfaol metodlar va raqamli vositalardan foydalanishning samaradorligi tahlil qilingan. Tadqiqot davomida boshlang‘ich sinf o‘quvchilarining mustaqil fikrlashini rivojlantirishga xizmat qiluvchi metodik yondashuvlar ishlab chiqilgan
Conventional scoring of matrix reasoning focuses on total accuracy, overlooking qualitative error patterns that may reflect distinct cognitive mechanisms, especially in psychiatric populations where t…
Conventional scoring of matrix reasoning focuses on total accuracy, overlooking qualitative error patterns that may reflect distinct cognitive mechanisms, especially in psychiatric populations where total scores often have limited discriminatory value. We examined performance in terms of accuracy and error patterns using MatriKS, a digital matrix reasoning task, in 430 individuals (28 with schizophrenia, 31 with bipolar disorder, and 371 healthy controls). Both clinical groups showed lower accuracy and more total errors than controls. To isolate qualitative differences, four conceptual error types were analyzed: repetition (R), wrong principle (WP), difference (D), and incomplete correlate (IC). Relative to controls, schizophrenia showed higher odds of D than R errors, though not robustly; bipolar disorder did not differ credibly on any error type. A direct comparison between the clinical groups revealed higher odds of D than R errors in patients with schizophrenia compared to bipolar ones but did not reach credibility; neither IC nor WP errors showed a credible diagnostic effect. A second model, restricted to the clinical sample, tested whether visual attention and verbal working memory can account for this pattern. Neither these measures, diagnosis, nor their interaction credibly predicted error type. Substantial unexplained heterogeneity emerged instead, driven more by individual differences for D errors and by item properties for IC and WP errors. Although preliminary, these findings offer an interesting support for qualitative error profiling alongside total-score metrics, though diagnostic specificity remains to be established in larger samples.
There is an increasing interest in upgrading the EModel, a parametric tool for speech quality estimation, to the wideband and super-wideband contexts. The
Contemporary models of Unmanned Aerial Vehicles (UAVs) are largely developed using simulators. In a typical scheme, a flight simulator is dovetailed with a
Undertaking engineering research can be compounding for beginning graduate students and thwarting even for seasoned researchers. With a wealth of academic
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