bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the impacts of vegetation loss and land surface temperature on Surface Urban Heat Island (SUHI) in Gazipur District, Bangladesh
Authors: Salam Mehereen , Islam Md. Kamrul , Jahan Israt , Chowdhury Md. Arif 
Published: September 2024

AbstractRapid replacement of vegetated land with impermeable land (built-up areas) is a major factor in the increase in Land Surface Temperature (LST), while increased LST worsens the temperature in cities and creates the Surface Urban Heat Island (SUHI) effect. The study aims to measure vegetation loss and Land Surface Temperature of the Gazipur district between 2000 and 2020 and explore the relationship among Normalized Difference Vegetation Index (NDVI), LST, and Urban Thermal Field Variance Index (UTFVI). The Landsat TM/OLI images with minimum cloud coverage have been used to derive different indices. The mean NDVI values are 0.21, 0.16, and 0.22 in 2000, 2010, and 2020 respectively which indicates a general improvement in the health of the vegetation. Besides, the highest LST values throughout 20 years, represent a general increasing trend. As a consequence, different land covers have experienced fluctuations in mean temperature. The result shows that the mean temperature of bare land, buildup, vegetation, and waterbody has increased by 4.77, 2.01, 2.25, and 2.23 °C respectively from 2000 to 2020. The strongest SUHI zone’s area grew by about 28% between 2000 and 2020. Additionally, the highest index value of UTFVI was 0.39 in 2000 and grew to 0.43 in 2010. It changed to 0.49 in 2020, or ten years later. Thus, the SUHI effect’s increasing intensity is visible. Also, regression analysis has been used to explore the correlation between the derived indices. Stakeholders from different sectors like urban planners and policymakers may take insights from this study to work to promote greenery for a healthy urban environment.
Energy efficient spike transformer accelerator at the edge
Authors: Du Congpeng , Wen Qi , Wei Zhiqiang , Zhang Hao 
Published: September 2024

AbstractLarge language models are widely used across various applications owing to their superior performance. However, their high computational cost makes deployment on edge devices challenging. Spiking neural networks (SNNs), with their power-efficient, event-driven binary operations, offer a promising alternative. Combining SNNs and transformers is expected to be an effective solution for edge computing. This study proposes an energy-efficient spike transformer accelerator, which is the base component of the large language models, for edge computing, combining the efficiency of SNNs with the performance of transformer models. The design achieves performance levels comparable to traditional transformers while maintaining the lower power consumption characteristic of SNNs. To enhance hardware efficiency, a specialized computation engine and novel datapath for the spike transformer are introduced. The proposed design is implemented on the Xilinx Zynq UltraScale+ ZCU102 device, demonstrating significant improvements in energy consumption over previous transformer accelerators. It even surpasses some recent binary transformer accelerators in efficiency. Implementation results confirm that the proposed spike transformer accelerator is a feasible solution for running transformer models on edge devices.
Outcomes of Endoscopic Endonasal Surgery for Tuberculum Sellae and Planum Sphenoidale Meningiomas: A Retrospective Study
Authors: Schroeder Lynn Abigail , Starreveld Yves Pieter 
Published: September 2024

ABSTRACT

Background:
To evaluate clinical outcomes and volumetric changes following endoscopic endonasal approach (EEA) for tuberculum sellae (TS) and planum sphenoidale (PS) meningiomas. Key objectives included evaluating pre- and postoperative tumor volumes, visual assessments and EEA-related complications.

Methods:
A single-center retrospective study was conducted at Foothills Medical Centre, University of Calgary, Canada, from 2009 to 2022 including 24 patients meeting inclusion criteria for midline skull base tumors, confirmed as WHO Grade I or II meningiomas with optic canal extension.

Results:
EEA achieved gross total resection in 87.5% of cases, with a mean tumor volume reduction of 92.24%. Postoperatively, 91.67% exhibited visual improvement or stability. Cerebrospinal fluid leaks occurred in 12.5% of cases, necessitating revision surgery in one case. Persistent postoperative endocrine dysfunction affected 4.17%. Preoperative tumor volume did not demonstrate a correlation with complications.

Conclusions:
This study delivers reproducible data for pre- and postoperative tumor volume following the EEA after TS or PS meningiomas. The EEA demonstrated favorable radiographic and clinical outcomes in TS and PS meningiomas, achieving gross total resection with minimal morbidity.
Developing decision support tools for high-risk women and healthcare providers to increase chemoprevention informed choice and uptake: A retrospective translational science case study
Authors: Pope Leah G. , Abedin Zainab , Crew Katherine D. , Kukafka Rita , Pincus Harold Alan 
Published: September 2024

Abstract
Retrospective case studies are one approach to help identify processes underlying the translation of successful health interventions. This case study investigates the development of RealRisks and Breast Cancer Risk Navigation (BNAV), decision support tools for breast cancer risk assessment, and risk-stratified prevention. Following a recently developed protocol for retrospective translational science case studies, we examined the career trajectory of Dr Katherine Crew as she expanded from basic science to interdisciplinary, patient-oriented research in oncology and began collaboration with Dr Rita Kukafka, a public health informatician focused on communicating risk. Data collection methods included key informant interviews and examination of peer-reviewed publications, funded grants, and news articles associated with the research. Data were analyzed to identify key milestones in the development of RealRisks and BNAV and to elucidate facilitators and barriers to the translational process. Facilitators to translation included funding and infrastructure provided by a Clinical and Translational Science Award (CTSA), the creation of an interdisciplinary team, and broad support from stakeholders including patient advocacy groups. Barriers to translation included limited mid-career support, ongoing costs for technology, and the time required to establish interdisciplinary, team science efforts. The findings reported here can be used to inform ongoing efforts to develop a more robust science of translation.
Multiplication cubes and multiplication automata
Authors: KOPRA JOHAN 
Published: September 2024

AbstractWe extend previously known two-dimensional multiplication tiling systems that simulate multiplication by two natural numbers p and q in base
$pq$
to higher dimensional multiplication tessellation systems. We develop the theory of these systems and link different multiplication tessellation systems with each other via macrotile operations that glue cubes in one tessellation system into larger cubes of another tessellation system. The macrotile operations yield topological conjugacies and factor maps between cellular automata performing multiplication by positive numbers in various bases.
Symbolic dynamics for pointwise hyperbolic systems on open regions
Authors: WU CHUPENG , ZHOU YUNHUA 
Published: September 2024

AbstractUnder certain conditions, we construct a countable Markov partition for pointwise hyperbolic diffeomorphism
$f:M\rightarrow M$
on an open invariant subset
$O\subset M$
, which allows the Lyapunov exponents to be zero. From this partition, we define a symbolic extension that is finite-to-one and onto a subset of O that carries the same finite f-invariant measures as O. Our method relies upon shadowing theory of a recurrent-pointwise-pseudo-orbit that we introduce. As a canonical application, we estimate the number of closed orbits for f.
Quantitative and Nuanced Approaches Elucidate Carbon Isotope Records
Authors: Hagen Cedric J. 
Published: September 2024

AbstractEarth scientists have leveraged carbon isotope records to interpret Earth history and establish chronostratigraphic frameworks for decades (e.g., Halverson et al., 2005, https://doi.org/10.1130/b25630.1; Kaufman & Knoll, 1995, https://doi.org/10.1016/0301‐9268(94)00070‐8; Knoll et al., 1986, https://doi.org/10.1038/321832a0; Saltzman & Thomas, 2012, https://doi.org/10.1016/b978‐0‐444‐59425‐9.00011‐1; Scholle & Arthur, 1980, https://doi.org/10.1306/2f91892d‐16ce‐11d7‐8645000102c1865d). Increasingly detailed and nuanced approaches have been applied to understanding carbon isotope records in light of local‐ and regional‐scale processes that complicate interpretations. The recent work of Gazdewich et al. (2024, https://doi.org/10.1029/2023gc011376) is a prescient example, in which they conduct a series of analyses to constrain the influence of authigenic carbonate burial on the global carbon isotope mass balance during the Late Devonian. Here, I briefly review some recent developments in quantitative approaches to understanding carbon isotope values measured from carbonate rocks (δ13Ccarb), with a focus on comparisons of measured δ13Ccarb values, models for understanding what controls δ13Ccarb values, and correlation tools for aligning δ13Ccarb stratigraphies. These new approaches are elucidating carbon isotope records across Earth history and may prove to be transformative for our understanding of the global carbon cycle.
Sex difference in human diseases: mechanistic insights and clinical implications
Authors: Shi Yuncong , Ma Jianshuai , Li Sijin , Liu Chao , Liu Yuning , Chen Jie , Liu Ningning , Liu Shiming , Huang Hui 
Published: September 2024

AbstractSex characteristics exhibit significant disparities in various human diseases, including prevalent cardiovascular diseases, cancers, metabolic disorders, autoimmune diseases, and neurodegenerative diseases. Risk profiles and pathological manifestations of these diseases exhibit notable variations between sexes. The underlying reasons for these sex disparities encompass multifactorial elements, such as physiology, genetics, and environment. Recent studies have shown that human body systems demonstrate sex-specific gene expression during critical developmental stages and gene editing processes. These genes, differentially expressed based on different sex, may be regulated by androgen or estrogen-responsive elements, thereby influencing the incidence and presentation of cardiovascular, oncological, metabolic, immune, and neurological diseases across sexes. However, despite the existence of sex differences in patients with human diseases, treatment guidelines predominantly rely on male data due to the underrepresentation of women in clinical trials. At present, there exists a substantial knowledge gap concerning sex-specific mechanisms and clinical treatments for diverse diseases. Therefore, this review aims to elucidate the advances of sex differences on human diseases by examining epidemiological factors, pathogenesis, and innovative progress of clinical treatments in accordance with the distinctive risk characteristics of each disease and provide a new theoretical and practical basis for further optimizing individualized treatment and improving patient prognosis.
Non-coding RNAs in the spotlight of the pathogenesis, diagnosis, and therapy of cutaneous T cell lymphoma
Authors: He Xiao , Zhang Qian , Wang Yimeng , Sun Jiachen , Zhang Ying , Zhang Chunlei 
Published: September 2024

AbstractCutaneous T-cell lymphoma (CTCL) is a group of primary and secondary cutaneous malignancies characterized by aberrant T-cells in the skin. Diagnosing CTCL in its early stage can be difficult because of CTCL’s ability to mimic benign cutaneous inflammatory skin diseases. CTCL has multiple subtypes with different disease progression and diagnostic parameters despite similar clinical manifestations. The accurate diagnosis and prognosis of a varied range of diseases require the detection of molecular entities to capture the complete footprint of disease physiology. Non-coding RNAs (ncRNAs) have recently been discovered as major regulators of CTCL gene expression. They can affect tumor cell growth, migration, programmed cell death (PCD), and immunoregulation through interactions with the tumor microenvironment (TME), which in turn affect CTCL progression. This review summarizes recent advances in how ncRNAs regulate CTCL cell activity, especially their role in PCD. It also discusses the potential use of ncRNAs as diagnostic and prognostic biomarkers for different subtypes of CTCL. Furthermore, prospective targets and therapeutic approaches influenced by ncRNAs are presented. A better appreciation of the intricate epigenetic landscape of CTCL is expected to facilitate the creation of innovative targeted therapies for the condition.
Deep intravital brain tumor imaging enabled by tailored three-photon microscopy and analysis
Authors: Schubert Marc Cicero , Soyka Stella Judith , Tamimi Amr , Maus Emanuel , Schroers Julian , Wißmann Niklas , Reyhan Ekin , Tetzlaff Svenja Kristin , Yang Yvonne , Denninger Robert , Peretzke Robin , Beretta Carlo , Drumm Michael , Heuer Alina , Buchert Verena , Steffens Alicia , Walshon Jordain , McCortney Kathleen , Heiland Sabine , Bendszus Martin , Neher Peter , Golebiewska Anna , Wick Wolfgang , Winkler Frank , Breckwoldt Michael O. , Kreshuk Anna , Kuner Thomas , Horbinski Craig , Kurz Felix Tobias , Prevedel Robert , Venkataramani Varun 
Published: September 2024

AbstractIntravital 2P-microscopy enables the longitudinal study of brain tumor biology in superficial mouse cortex layers. Intravital microscopy of the white matter, an important route of glioblastoma invasion and recurrence, has not been feasible, due to low signal-to-noise ratios and insufficient spatiotemporal resolution. Here, we present an intravital microscopy and artificial intelligence-based analysis workflow (Deep3P) that enables longitudinal deep imaging of glioblastoma up to a depth of 1.2 mm. We find that perivascular invasion is the preferred invasion route into the corpus callosum and uncover two vascular mechanisms of glioblastoma migration in the white matter. Furthermore, we observe morphological changes after white matter infiltration, a potential basis of an imaging biomarker during early glioblastoma colonization. Taken together, Deep3P allows for a non-invasive intravital investigation of brain tumor biology and its tumor microenvironment at subcortical depths explored, opening up opportunities for studying the neuroscience of brain tumors and other model systems.
Controlled mechanochemical coupling of anti-junctions in DNA origami arrays
Authors: Cole Fiona , Pfeiffer Martina , Wang Dongfang , Schröder Tim , Ke Yonggang , Tinnefeld Philip 
Published: September 2024

AbstractAllostery is a hallmark of cellular function and important in every biological system. Still, we are only starting to mimic it in the laboratory. Here, we introduce an approach to study aspects of allostery in artificial systems. We use a DNA origami domino array structure which–upon binding of trigger DNA strands–undergoes a stepwise allosteric conformational change. Using two FRET probes placed at specific positions in the DNA origami, we zoom in into single steps of this reaction cascade. Most of the steps are strongly coupled temporally and occur simultaneously. Introduction of activation energy barriers between different intermediate states alters this coupling and induces a time delay. We then apply these approaches to release a cargo DNA strand at a predefined step in the reaction cascade to demonstrate the applicability of this concept in tunable cascades of mechanochemical coupling with both spatial and temporal control.
ARViS: a bleed-free multi-site automated injection robot for accurate, fast, and dense delivery of virus to mouse and marmoset cerebral cortex
Authors: Nomura Shinnosuke , Terada Shin-Ichiro , Ebina Teppei , Uemura Masato , Masamizu Yoshito , Ohki Kenichi , Matsuzaki Masanori 
Published: September 2024

AbstractGenetically encoded fluorescent sensors continue to be developed and improved. If they could be expressed across multiple cortical areas in non-human primates, it would be possible to measure a variety of spatiotemporal dynamics of primate-specific cortical activity. Here, we develop an Automated Robotic Virus injection System (ARViS) for broad expression of a biosensor. ARViS consists of two technologies: image recognition of vasculature structures on the cortical surface to determine multiple injection sites without hitting them, and robotic control of micropipette insertion perpendicular to the cortical surface with 50 μm precision. In mouse cortex, ARViS sequentially injected virus solution into 100 sites over a duration of 100 min with a bleeding probability of only 0.1% per site. Furthermore, ARViS successfully achieved 266-site injections over the frontoparietal cortex of a female common marmoset. We demonstrate one-photon and two-photon calcium imaging in the marmoset frontoparietal cortex, illustrating the effective expression of biosensors delivered by ARViS.
North Atlantic temperature control on deoxygenation in the northern tropical Pacific
Authors: Pichevin Laetitia E. , Bollasina Massimo , Nederbragt Alexandra J. , Ganeshram Raja S. 
Published: September 2024

AbstractOcean oxygen content is decreasing with global change. A major challenge for modelling future declines in oxygen concentration is our lack of knowledge of the natural variability associated with marine oxygen inventory on interannual and multidecadal timescales. Here, we present 10 annually resolved 200 year-long records of denitrification, a marker of deoxygenation, from a varved sedimentary archive in the North Pacific oxygen minimum zone covering key periods over the last glacial–interglacial cycle. Spectral analyses on these records reveal strong signals at periodicities typical of today’s Atlantic multidecadal oscillation. Modern subsurface circulation reanalyses regressed on the positive Atlantic and Pacific Climatic Oscillation indices further confirm that North Atlantic temperature patterns are the main control on the subsurface zonal circulation and therefore the most likely dominant driver of oxygen variability in the tropical Pacific. With currently increasing temperatures in the Northern Hemisphere high latitudes and North Atlantic, we suggest deoxygenation will intensify in the region.
Intracellular morphogenesis of diatom silica is guided by local variations in membrane curvature
Authors: Aram Lior , de Haan Diede , Varsano Neta , Gilchrist James B. , Heintze Christoph , Rotkopf Ron , Rechav Katya , Elad Nadav , Kröger Nils , Gal Assaf 
Published: September 2024

AbstractSilica cell-wall formation in diatoms is a showcase for the ability of organisms to control inorganic mineralization. The process of silicification by these unicellular algae is tightly regulated within a membrane-bound organelle, the silica deposition vesicle (SDV). Two opposing scenarios were proposed to explain the tight regulation of this intracellular process: a template-mediated process that relies on preformed scaffolds, or a template-independent self-assembly process. The present work points to a third scenario, where the SDV membrane is a dynamic mold that shapes the forming silica. We use in-cell cryo-electron tomography to visualize the silicification process in situ, in its native-state, and with a nanometer-scale resolution. This reveals that the plasma membrane interacts with the SDV membrane via physical tethering at membrane contact sites, where the curvature of the tethered side of the SDV membrane mirrors the intricate silica topography. We propose that silica growth and morphogenesis result from the biophysical properties of the SDV and plasma membranes.
Strategy to mitigate substrate inhibition in wastewater treatment systems
Authors: Li Beiying , Liu Conghe , Bai Jingjing , Huang Yikun , Su Run , Wei Yan , Ma Bin 
Published: September 2024

AbstractGlobal urbanization requires more stable and sustainable wastewater treatment to reduce the burden on the water environment. To address the problem of substrate inhibition of microorganisms during wastewater treatment, which leads to unstable wastewater discharge, this study proposes an approach to enhance the tolerance of bacterial community by artificially setting up a non-lethal high substrate environment. And the feasibility of this approach was explored by taking the inhibition of anammox process by nitrite as an example. It was shown that the non-lethal high substrate environment could enhance the nitrite tolerance of anammox bacterial community, as the specific anammox activity increasing up to 24.71 times at high nitrite concentrations. Moreover, the system composed of anammox bacterial community with high nitrite tolerance also showed greater resistance (two-fold) in response to nitrite shock. The antifragility of the system was enhanced without affecting the operation of the main reactor, and the non-lethal high nitrite environment changed the dominant anammox genera to Candidatus Jettenia. This approach to enhance tolerance of bacterial community in a non-lethal high substrate environment not only allows the anammox system to operate stably, but also promises to be a potential strategy for achieving stable biological wastewater treatment processes to comply with standards.
Nutritional status and extended metabolic screening in Egyptian children with uncomplicated type 1 diabetes
Authors: Sakhr Hala M. , Hassan Mohammed H. , Ahmed Ahmed El-Abd , Rashwan Nagwan I. , Abdel-Aziz Rehab H. , Gouda Amr S. , Toghan Rana 
Published: September 2024

AbstractNutritional status assessment, including amino acids, carnitine, and acylcarnitine profile, is an important component of diabetes care management, influencing growth and metabolic regulation. A designed case–control research included 100 Egyptian participants (50 T1DM and 50 healthy controls) aged 6 to 18 years old. The participants' nutritional status was assessed using the Body Mass Index (BMI) Z-score. Extended metabolic screening (EMS) was performed using a high-performance liquid chromatography-electrospray ionization-mass spectroscopy system to evaluate the levels of 14 amino acids, free carnitine, and 27 carnitine esters. T1DM children had considerably lower anthropometric Z-scores than the control group, with 16% undernutrition and 32% short stature. Total aromatic amino acids, phenylalanine, phenylalanine/tyrosine ratio, proline, arginine, leucine, isoleucine, free carnitine, and carnitine esters levels were considerably lower in the diabetic group, suggesting an altered amino acid and carnitine metabolism in type 1 diabetes. BMI Z-score showed a significant positive correlation with Leucine, Isoleucine, Phenylalanine, Citrulline, Tyrosine, Arginine, Proline, free carnitine, and some carnitine esters (Acetylcarnitine, Hydroxy-Isovalerylcarnitine, Hexanoylcarnitine, Methylglutarylcarnitine, Dodecanoylcarnitine, Tetradecanoylcarnitine, and Hexadecanoylcarnitine). HbA1c% had a significant negative correlation with Total aromatic amino acids, Branched-chain amino acid/Total aromatic amino acids ratio, Glutamic Acid, Citrulline, Tyrosine, Arginine, Proline, and certain carnitine esters (Propionylcarnitine, Methylglutarylcarnitine, Decanoylcarnitine, Octadecanoylcarnitine and Octadecenoylcarnitine), suggest that dysregulated amino acid and carnitine metabolism may be negatively affect the glycaemic control in children with TIDM. In conclusion, regular nutritional assessments including EMS of T1DM patients are critical in terms of diet quality and protein content for improved growth and glycemic management.