Abstract: Mobile Software Engineering has emerged as a distinct subfield, raising questions about the transferability of its research findings to general Software Engineering. This paper addresses the challenge of evaluating the generalizability of mobile-specific research, using Green Computing as a representative case. We propose a systematic method that combines a mapping study to identify potentially overlooked mobile-specific papers with a focused literature review to assess their broader relevance. Applying this approach, we find that several mobile-specific studies offer insights applicable beyond their original context, particularly in areas such as energy efficiency guidelines, measurement, and trade-offs. The results demonstrate that systematic identification and evaluation can reveal valuable contributions for the wider Software Engineering community. The proposed method provides a structured framework for future research to assess the generalizability of findings from specialized domains, fostering greater integration and knowledge transfer across Software Engineering disciplines.

Abstract:

Background. Both primary hyperparathyroidism (PHPT) and chronic hypoparathyroidism (HypoPT) are associated with the onset and development of cardiovascular diseases (CVDs). Especially PHPT is accompanied by the presence of elevated atherothrombotic risk, while the importance of traditional and new anthropometric indices to reflect the cardiovascular risk remains uncertain in this condition. This study aims to investigate whether novel and traditional anthropometric indices distinguish PHPT and their correlation with atherothrombotic risk. Methods. 40 Subjects with HypoPT, 40 PHPT and 40 age- and sex-matched control subjects were consecutively enrolled for the evaluation of flow-mediated vasodilation (FMD) and carotid intimal-media thickness (IMT). A blood sample was collected for calcium-phosphate metabolism, PTH, TSH and 25-hydroxy vitamin D evaluation. Physical examination was performed to obtain traditional anthropometric parameters and derived indices of adiposity and cardiometabolic risk (waist height ratio (WHtR) and waist hip ratio (WHR) and conicity index (CI)). Results. The PHPT group showed higher central adiposity indices (WHtR p=0.002, and CI p=0.008). Among patients with parathyroid disorders, PHPT subjects display the highest reduction of FMD (p<0.001) and a marked increase of IMT (p<0.001). In the Ctrl group, WHtR showed a weak-to-moderate positive association with IMT (r=0.381, p=0.018). In the PHPT group, no anthropometric index was significantly correlated with IMT or FMD (all p>0.05). Conclusions. WHtR and CI provide evidence of increased central fat adiposity in PHPT but do not account for impaired atherothrombotic risk, indicating that anthropometric indices may lack relevance to cardiovascular risk in this condition and emphasising the importance of a specific assessment profile.

Abstract: Distributed projects spanning time zones and cultures strain communication, coordination, and control, demanding project management practices that explicitly govern stakeholder alignment, information flow, and decision cadence. This paper synthesizes evidence on how iterative delivery rituals can be embedded within PM governance—linking standups, sprint reviews, and retrospectives to communication plans, risk registers, change control, and visibility dashboards—to raise predictability in global initiatives. A practical framework maps collaboration tooling (e.g., video, messaging, shared wikis) to specific PM objectives, while outlining mitigations for language barriers, cultural divergence, and trust deficits common to dispersed teams. Reported benefits include clearer requirements, faster feedback cycles, improved knowledge sharing, and higher transparency, counterbalanced by recurring risks such as time-zone friction, uneven tool access, and coordination overheads, with checklists provided for PMOs to operationalize at scale. The contribution equips project planners and delivery leads with actionable playbooks to achieve scope, schedule, and quality targets under high uncertainty—without relying on co-location.

Abstract: This paper investigates the structured deployment of a project oversight framework within a small-scale enterprise characterized by low project management maturity and limited resource capacity. Adopting a hybrid operational strategy that blends predictive planning with agile responsiveness, the study documents the customization and implementation of a digital project tracking platform tailored to diverse project environments. Data were gathered through embedded organizational roles, unstructured feedback loops, and direct observation, capturing stakeholder challenges and behavioral resistance during change adoption. The findings reveal critical gaps in formal process uptake, technology assimilation, and leadership alignment. Based on experiential evidence, a revised integration roadmap is proposed, emphasizing incremental adoption, simplification of planning tools, and deeper managerial engagement. This research contributes actionable insights for small enterprises aiming to institutionalize project governance systems aligned with operational realities.

Abstract: Performance based evaluation of reinforced soil retaining structures often relies on numerical analyses that demand substantial time and expert effort, largely due to the complex interactions among soils, reinforcements, facings, and seismic loading. This study introduces an efficient approach for developing seismic resisting capacity curves for geosynthetic reinforced slopes with rigid facings, using a computer program built on the Force Equilibrium based Finite Displacement Method (FFDM). Positioned between conventional, non performance based limit equilibrium methods (LEM) and the more computationally intensive finite element method (FEM), the FFDM offers a practical platform for performance based seismic assessment in engineering design. The method is demonstrated through a re examination of the Tanada Wall, a geosynthetic reinforced soil retaining wall with a full-height rigid panel facing (GRS-FHR) that experienced strong shaking during the 1995 Hyogoken Nambu earthquake (ML = 7.2). Using only parameters available in published databases, the FFDM generates realistic seis-mic resistance curves and directly computes seismic displacements. Three advantages distinguish the FFDM from traditional LEM based Newmark approaches: (1) explicit incorporation of peak soil strength and post peak degradation along the slip surface, eliminating the need for empirical “operational” strength adjustments; (2) direct use of peak ground acceleration (HPGA/g) as input, avoiding reliance on empirically selected seismic coefficients; and (3) capability for back analysis, enabling soil strength and de-formation parameters to be calibrated from small observed displacements (on the order of 10⁻³ m) during medium scale earthquakes and subsequently used to predict structural response under more severe ground shaking.

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Research integrity is currently besieged by a surge in synthetic manuscripts. A forensic workflow is operationalized herein to isolate and quantify ``computer-aided'' misconduct within the global scholarly record. A corpus of \( N=3,974 \) retracted DOIs sourced from the Retraction Watch Database was analyzed, with records cross-linked to institutional metadata via the OpenAlex API. Through the application of fractional attribution modeling and the calculation of Shannon entropy (\( H \)) for retraction rationales, a distinct geographic schism in fraud typologies was identified. High-output hubs, specifically China and India, exhibit high reason entropy (\( H > 4.2 \)), where ``Computer-Aided Content'' frequently clusters with established ``Paper Mill'' signatures. These AI-driven retractions exhibit a compressed median Time-to-Retraction (TTR) of \( \sim \)600 days, nearly twice as fast as the \( 1,300 \)+ day latencies observed in the US and Japan---where retractions remain skewed toward complex image and data manipulation. The data suggests that while traditional fraud has not been replaced by generative AI, it has been effectively industrialized. It is concluded that current post-publication filters fail to keep pace with the near-zero marginal cost of synthetic content, necessitating a shift toward provenance-based verification.

Abstract: The role of women in conflict and peacebuilding has been insufficiently explored, despite their substantial contributions. Women’s experiences during conflict frequently strengthen communities in post-conflict settings, where they play a crucial role in mediation, reconciliation, and transitional justice, drawing on their social capital and knowledge of international law. This paper examines the intersection of religion, gender, and development through a case study of Guinea-Bissau, a paradigmatic example within the Lusophone world. It analyses women’s participation in political power from the struggle for independence to the present, highlighting their evolving social and political roles. The family institution, which is central to Guinean society, assigns women significant responsibility and commitment, reinforcing their leadership through long-standing traditional alliances. Using a historical approach complemented by a gender perspective, the study identifies both progress and regression in the country’s development, closely linked to women’s participation in public spaces as an indicator of democratic quality and social advancement. The analysis focuses on four key outcomes: food security; improved access to basic services such as health, education, and nutrition; enhanced resilience of rural communities—particularly women and youth—to climate and socio-economic challenges; and the strengthening of social protection systems. These priorities align with Guinea-Bissau’s implementation of the 2030 Agenda, particularly Sustainable Development Goals 1, 2, 3, and 4, and inform emerging approaches to international cooperation centered on resilience and vulnerability.

Abstract:

Chondrosarcoma, glioblastoma, acute myeloid leukemia, chronic lymphocytic leukemia, and cholangiocarcinoma, cancers all contain mutations in the gene isocitrate dehydrogenase 2 (IDH2). The mutant IDH2 enzyme metabolizes alpha-ketoglutarate (αKG) into the potent oncometabolite D-2-hydroxyglutarate (D2HG) in the mitochondria of these cancers. Mitochondrial-mediated transfer between cancer and recipient cells is a significant event that impacts the metabolism of both cell types. The presence of intercellular nanotubular structures between IDH2 mutant chondrosarcoma cells motivated investigation into mitochondria-mediated physiological alterations resulting from mitochondrial transfer to immune cells. Mitochondrial transfer is a two-way process, and we hypothesized that mitochondria derived from IDH2-mutant chondrosarcoma cells co-cultured with normal cells occurred between cells through tunneling nanotubes. We further hypothesize that disruption of the actin cytoskeleton will inhibit this transfer. Our objectives were 1). Quantify the exchange and directionality of mitochondria via nanotubes between IDH2 mutant cells and wild-type cells and modulate transfer via cytoskeletal inhibitors, and 2) measure metabolic changes in cells following transfer. The experimental data acquired here increased our understanding of the molecular mechanisms behind the progression of IDH2 cancers as they interact with normal cells in the tumor microenvironment, advancing our understanding of intercellular communication in cancer biology.

Abstract: Agriculture in Europe needs to progress towards a new business system, where sustainable agricultural practices are the driving force behind this business. These sustainable practices will contribute to Europe's climate neutrality by 2050. Carbon farming has practices that help to sequester CO2 in the soil and mitigate CO2 from the atmosphere. Increasing SOC (Soil organic carbon) in soil through carbon farming practices will promote soil quality and fertility, which is essential for soil ecosystem services protection. This study aims to identify new proposals, such as technical and policy instruments, that help promote carbon farming practices through a bibliometric analysis of carbon farming, as there is a gap in bibliometric review studies on carbon farming in the scientific literature. The bibliometric analysis results showed that the principal common terms include “carbon farming,” “carbon sequestration, “climate change” and "Australia” and there is a lack of terms related with carbon credit market and adaptation from farmers. Australia is the country with the most published carbon farming documents. Carbon farming aims to be an eco-agrosystem to be broadly embraced by farmers.

Abstract: The motivation for investigating the issues presented in this article stemmed from a discovery that resulted from using the magnetic flux quantum, that combine the Planck's constant and the Elementary charge. It led to a new relationship between the combined expressions, it reviled that the mass of the electron is associated with the magnitude of the square of the magnetic flux quantum. Also, It revile a novel significance of the vacuum permittivity constant (in SI units), that relies also on an analogy to the kinetic theory of gases. By using the concept of the nucleus motion around the center of mass shared with the electron in the Hydrogen atom, along with defineing the orbital angular momentum of the proton at the trajectory around the center of mass, yield a velocity of the proton at this trajectory, and also a new physical constant which fulfill a similar role like the fine structure constant. The new constant yield results for the proton and neutron masses and their radii. Another aspect presented in a briefly way, demonstrates the connection between the square of the magnetic flux quantum through the Bohr radius that provides a novel significance of the wave function in the atom. This paper presents also a new perspective on the internal structure of the proton and neutron with their quarks, and on the origin of the weak force bosons associated with this internal structure. The proton, neutron and all baryons consist of two energy levels on which the Up and Down quarks are in orbit, and a third energy level that equal to ~ 80 [Gev], that plays a central role in the decay process via the weak force. The results are in full accordance with the results published by NIST CODATA 2018 that I’ve used, validating the results.

Abstract:

Diabetes mellitus is a serious chronic disease whose main characteristic is hyperglycemia (increased blood glucose), accompanied by changes in lipid and protein metabolism. For individuals with diabetes mellitus, physical activity provides significant benefits and is an essential tool for metabolic management. Daily step counting, measured with AI support through wearable devices, can be an important metric of physical activity for the prevention and treatment of this disease if performed regularly and respecting a minimum daily amount. Objective: To investigate the association between daily steps and diabetes and to determine what minimum amount should be performed daily for a protective effect in participants of the Longitudinal Study of Adult Health. Methods: The study was cross-sectional and participants from the 2nd segment (2016-2018) were analyzed, with a sample of 12,636 participants. The dependent variable was diabetes, assessed by laboratory tests, and the independent variable was daily steps counting, assessed by accelerometry. The associations between the dependent and independent variables were analyzed using logistic regression. The odds ratio with 95% CI was estimated. Results: An association was found between daily steps and diabetes (OR = 0.76, CI = 0.70-0.83), in addition to the cutoff point of 6,880 with area under the ROC curve = 0.58 (CI = 0.57-0.59). Conclusion: Based on the results found in this study, we can conclude that the number of daily steps has a protective effect against diabetes, especially in men and women with abdominal obesity and in men with moderate/vigorous leisure-time physical activity.

Abstract: Inter-row mulching with reflective film (RF) has been increasingly adopted in cool-climate vineyards to improve light availability and promote grape ripening. This study investigated the effects of ground-reflected light on the flavoromic profiles of wine grape berries (Vitis vinifera L.) over two consecutive vintages (2020–2021) in the Beijing Fangshan region of Eastern China, an area characterized by high precipitation and limited sunlight during ripening. Physicochemical analyses showed that RF treatment significantly increased total soluble solids (TSS) and decreased titratable acidity (TA) at harvest. Targeted metabolomic analyses using HPLC–MS and GC–MS identified 21 flavonoids and 35 volatile compounds responsive to altered light conditions. RF treatment markedly enhanced the accumulation of anthocyanins and flavonols, especially malvidin-based derivatives, and increased terpene and norisoprenoid concentrations, while C6/C9 compounds were more abundant in control berries. Multivariate analysis revealed that PC1 was mainly associated with anthocyanin accumulation, clearly separating RF-treated samples, whereas PC2 reflected differences in flavonols and flavan-3-ols, with higher flavonols under RF and higher skin- and seed-derived flavan-3-ols in controls. Overall, these findings demonstrate that ground-reflected light plays a critical role in modulating grape flavor composition and provides practical guidance for improving fruit quality in suboptimal climatic regions.

Abstract: Gears are important components in mechanical transmission, and monitoring their health is crucial for the safe operation of equipment. Since defects that occur during operation are mainly located on the gear surface and can be captured by industrial cameras, conditions are conducive to machine vision online inspection. Currently, research on vision-based online detection methods for gear surface defects is limited, and traditional image decomposition methods (such as Bidimensional Empirical Mode Decomposition, BEMD) are inefficient, which restricts the detection speed of the system. The Bidimensional Local Characteristics-Scale Decomposition (BLCD)proposed by Dongxu improves detection efficiency. However, the issues of boundary effect and mode mixing still exist. In response to the boundary effect and mode mixing issues that arise in the bidimensional image decomposition process using the BLCD method, corresponding improvements are proposed. First, based on the principle of boundary effects, an adaptive image extension method based on the probability density of edge extremum points is proposed. Then, referring to methods that solve mode mixing in the EMD approach, three techniques are proposed: Bidimensional Ensemble Local Characteristic-scale Decomposition (BELCD), Bidimensional Complementary Ensemble Local Characteristic-scale Decomposition (BCELCD), and Bidimensional Complete Ensemble Local Characteristic-scale Decomposition with Adaptive Noise (BCELCDAN). BELCD uses multiple white noises with a mean of 0 to mask the interference present in the signal, obtaining a more accurate envelope. BCElCD uses dual complementary noise (such as two sets of perfectly anti-correlated positive and negative noise sequences) instead of single noise. Through the symmetry of the noise, precise cancellation of the noise is achieved during the ensemble averaging process after multiple decompositions.And after BCElCDAN decomposes a first-order IMF component, it immediately performs an averaging cancelation of complementary noise on that component, and then decomposes the next order based on the residual signal, preventing noise from transferring between different order modes and improving the purity of each IMF component. Denoising and detection effectiveness comparison experiments are conducted on gear surface defects. Experimental results show that the improved BLCD method is more practical in terms of denoising and detection.

Abstract: We formulate and benchmark an operational timescale—the quantum information copy time— that quantifies how fast a localized bias in an initial many-body state becomes remotely certifiable by measurements restricted to a distant receiver region. The definition is intrinsically information-theoretic: for a fixed distinguishability threshold η ∈ (0, 1), the copy time τcopy(A → B; η) is the earliest time at which the reduced states on B become distinguishable with advantage at least η, measured by trace distance and equivalently by the optimal Helstrom measurement. We present (i) a minimal theorem that isolates which inputs are genuinely nontrivial (locality, conservation laws, and an explicit receiver observable class), and (ii) a controlled hydrodynamic closure in which the copy time is governed by a second-moment spectral susceptibility that couples the receiver advantage to the slowest transport mode. We then provide reproducible exact-diagonalization benchmarks in the XXZ chain that (a) extract finite-size transport diagnostics with conservative uncertainty quantification and (b) delimit failure modes in integrable and near-integrable regimes. TEBD/MPS calculations are included only as qualitative cross-checks (Supplementary File S1) and are not used to support asymptotic scaling claims. Finally, we situate these results inside the broader QICT program, where locality-preserving quantum cellular automata (QCA) and code-subspace constraints motivate using copy-time distances as primitives for an operational geometry; we keep this outlook explicitly conjectural and separate from the proved/validated statements.

Abstract:

High-performance athletes operate in demanding environments requiring simultaneous coordination of multiple cognitive and motor tasks. This study developed a novel dual-task protocol combining continuous visuomotor tracking with discrete attentional vigilance to investigate temporal dynamics of dual-task interference in young athletes. Thirty-six participants from interceptive and static sports performed the dual-task paradigm while behavioral performance metrics were continuously recorded. Adapting event-related potential methodology to behavioral data, we computed Event-Related Behavioral Potentials (ERBPs) to characterize time-locked performance changes. Results revealed a significant Dual-Task Effect (DTE) with distinct temporal components: an early perceptual interference phase around 450 ms post-stimulus and a later decision-execution phase extending to 1400 ms. Friedman tests confirmed significant performance differences across temporal windows (\( \chi^2 \)(4) = 85.32, p < 0.001), with performance returning to baseline by 1500 ms. The ERBP analysis enabled quantification of DTE amplitude, latency, and duration—providing novel metrics for continuous assessment of cognitive-motor interference. Target events elicited pronounced performance degradation compared to non-target events (peak difference: 10.5 px, latency difference: 350 ms), indicating sensitivity to decision-making processes beyond motor execution. Exploratory comparisons between sport groups revealed trends suggesting differential interference patterns, though no significant between-group differences emerged. These findings demonstrate that ERBP analysis offers a powerful framework for dissecting temporal dynamics of dual-task performance, with implications for understanding attentional resource allocation in high-demand environments and potential applications in sports training and cognitive assessment.

Abstract: Large language models (LLMs) are now routine writing tools across various domains, intensifying questions about when text should be treated as human-authored, artificial intelligence (AI)-generated, or collaboratively produced. This rapid review aimed to identify cue families reported in empirical studies as distinguishing AI from human-authored text and to assess how stable these cues are across genres/tasks, text lengths, and revision conditions. Following PRISMA guidelines, we searched four online databases for peer-reviewed English-language empirical articles (1 January 2022–1 January 2026). After deduplication and screening, 40 studies were included. Evidence converged on five cue families: surface, discourse/pragmatic, epistemic/content, predictability/probabilistic, and provenance cues. Surface cues dominated the literature and were the most consistently operationalized. Discourse/pragmatic cues followed, particularly in discipline-bound academic genres where stance and metadiscourse differentiated AI from human writing. Predictability/probabilistic cues were central in detector-focused studies, while epistemic/content cues emerged primarily in tasks where grounding and authenticity were salient. Provenance cues were concentrated in watermarking research. Across studies, cue stability was consistently conditional rather than universal. Specifically, surface and discourse cues often remained discriminative within constrained genres, but shifted with register and discipline; probabilistic cues were powerful yet fragile under paraphrasing, post-editing, and evasion; and provenance signals required robustness to editing, mixing, and span localization. Overall, the literature indicates that AI–human distinction emerges from layered and context-dependent cue profiles rather than from any single reliable marker. High-stakes decisions, therefore, require condition-aware interpretation, triangulation across multiple cue families, and human oversight rather than automated classification in isolation.

Abstract: Introduction: It is of the utmost importance to distinguish psychiatric illness from negative emotions to avoid psychiatrization of normal emotional responses.Case description: An 82-year-old man without a history of psychiatric disease was seen in the emergency room after a suicide attempt by hanging. He was committed and medicated with 25 mg of sertraline. Fifteen days later, the patient was evaluated in a psychiatric consultation. No psychopathology was present, and he had been cheerful and functioning well since he exited the inpatient unit. Sertraline was weaned off, and he was released from the consultation. Comment: The case report addresses psychiatrization driven by top-down factors, such as the diagnostic vagueness of classification systems or the heterogeneity of psychiatric assessments. Thus, diagnosing in mental health must involve much more than following a checklist and merely considering the patient's words and responses to questioning.

Abstract: This study presents an experimental evaluation of different optical fibers for soft tissue laser ablation using the Echolaser system, developed by Elesta S.p.A., for minimally invasive therapies. Eight fibers with varying core diameters, numerical apertures, and tip geometries (flat, conical radial, and spherical) were compared to investigate the influence of optical properties on ablation dimensions and thermal profiles. Experiments were conducted at 1064 nm with powers of 3, 5, and 7 W and delivered energies ranging from 1200 to 3600 J. Results highlight how fiber characteristics affect tissue ablation, identifying configurations suitable for minimally invasive prostate applications. These findings provide an experimental reference for the development of laser-based biomedical approaches.

Abstract: Network operators increasingly rely on abstracted telemetry (e.g., flow records and time-aggregated statistics) to achieve scalable monitoring of high-speed networks, but this abstraction fundamentally constrains the forensic and security inferences that can be supported from network data. We present a design-time audit framework that evaluates which threat hypotheses become non-supportable as network evidence is transformed from packet-level traces to flow records and time-aggregated statistics. Our methodology examines three evidence layers (L0: packet headers, L1: IP Flow Information Export (IPFIX) flow records, L2: time-aggregated flows), computes a catalog of 13 network-forensic artifacts (e.g., destination fan-out, inter-arrival time burstiness, SYN-dominant connection patterns) at each layer, and maps artifact availability to tactic support using literature-grounded associations with MITRE Adversarial Tactics, Techniques, and Common Knowledge (ATT&CK). Applied to backbone traffic from the MAWI Day-In-The-Life (DITL) archive, the audit reveals non-monotonic transformation: inference coverage decreases from 9 to 7 out of 9 evaluated ATT&CK tactics, while coverage of defensive countermeasures (MITRE D3FEND) increases at L1 (7→8 technique categories) then decreases at L2 (8→7), reflecting a shift from behavioral monitoring to flow-based controls. The framework provides network architects with a practical tool to configure telemetry systems (e.g., IPFIX exporters, P4 pipelines) to reason about and provision minimum forensic coverage.

Abstract: In this paper, we consider the development of last scattering polarization from the point of view of our new model of structure formation. It has long been accepted that the CMB polarization on a 1° scale is a consequence of Thomson scattering at the tail-end of the epoch of recombination. We present a new simulation that confirms that idea, but we also show that the standard model, which is based on acoustic oscillations, of how this came about, is unworkable for several reasons in spite of its general acceptance. Our new model of structure formation argues that all structures came into existence at a time of about 10^-5 s and that they did so containing a high density of photons. These were initially trapped inside the structure by scattering, but later began to flow out of the structure with the onset of recombination, and it was this radial flow that created the asymmetric condition necessary for the development of the polarization. Our simulation shows that this radial flow acquired a high degree of polarization in the transverse direction which was then diluted by the background CMB radiation to yield the small degree of polarization detected by observers.