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Objective: Cervical disc degeneration is a common radiographic finding among patients with cervical spine pathology,however there is little literature exploring severity of cervical disc degeneration …

Objective: Cervical disc degeneration is a common radiographic finding among patients with cervical spine pathology,however there is little literature exploring severity of cervical disc degeneration and postoperative health-related quality of life (HRQOL) outcomes following anterior cervical discectomy and fusion (ACDF). The purpose of this study was to explore the relationship between severity of cervical disc degeneration and postoperative HRQOL outcomes in patients status post 1- and 2-level ACDF.Methods: Patient demographics, case characteristics, and minimum one-year HRQOL outcomes were obtained via SQL query and manual chart reviews. Cervical disc degeneration was graded using a previously established scoring systemincorporating: middle intervertebral disc height loss, anterior osteophyte length, and endplate sclerosis. Statistical analysis was performed with regression to examine the relationship between severity of disc degeneration and patient/clinical outcomes.Results: Of the 211 patients in the final cohort, 27 had mild degeneration, 100 moderate degeneration, and 84 severe degeneration. While all groups demonstrated statically significant improvement in NDI, VAS neck, VAS arm and SF-12 PCS, patients with severe disc degeneration reported significantly more improvement in SF-12 PCS (β:3.6;p=0.01) and VAS Neck (β:-1.1;p=0.01) scores compared with the mild and moderate disc degeneration groups.Conclusions: Our data suggests that ACDF patients suffering from severe disc degeneration preoperatively report the greatest improvement in symptoms and functional status compared to patients with mild and moderate disease. 

Ushbu maqolada falsafiy-refleksiv tafakkur muammosi pedagogika va falsafa fanlari kesishmasida kompleks tarzda tahlil qilinadi.Refleksiya tushunchasining lotincha etimologiyasidan kelib chiqib, uni to…

Ushbu maqolada falsafiy-refleksiv tafakkur muammosi pedagogika va falsafa fanlari kesishmasida kompleks tarzda tahlil qilinadi.Refleksiya tushunchasining lotincha etimologiyasidan kelib chiqib, uni tor psixologik yoki uslubiy doiradan chiqarib, ekzistensial va gnoseologik xarakterga ega fundamental fenomen sifatida talqin qiladi. Maqolada falsafiy-refleksiv tafakkurning uch asosiy o‘lchami — evristik-gnoseologik (metabilish), aksiologik (qadriyatli) va ontologik (borliqdagi o‘rin) — batafsil yoritilgan. Tadqiqotning markaziy qismini ushbu tafakkurning tarkibiy komponentlari (kognitiv-intellektual, ekzistensial-ma’naviy, ijtimoiy-kommunikativ) hamda ularning pedagogik natijalarini tizimlashtiruvchi jadval tashkil etadi. Immanuil Kantning kategorik imperativi va Sokratning intellektual kamtarlik tamoyiliga tayangan holda, falsafiy refleksiyaning shaxs ma’naviyati, o‘zlikni anglash va ekzistensial inqirozlarni yengib o‘tishdagi rolini asoslaydi. Maqolaning amaliy qismida falsafiy-refleksiv tafakkurni rivojlantirishning pedagogik metodlari — muammoga asoslangan o‘qitish, reflektiv esse va jurnal yuritish, dialogik-diskussion usullar, mentorlik va modelling — ko‘rib chiqiladi. Shuningdek, an’anaviy baholash tizimlaridan farqli o‘laroq, portfel va situatsion vazifalarga asoslangan yangi baholash mezonlari taklif etiladi.

This article examines the construction and use of canoes among Indigenous peoples of Brazil as a form of technical, environmental, and mathematical knowledge grounded in long-term empirical experience…

This article examines the construction and use of canoes among Indigenous peoples of Brazil as a form of technical, environmental, and mathematical knowledge grounded in long-term empirical experience. The study is based on ethnographic fieldwork conducted between 2010 and 2025 with communities of the Apiaká, Arara, Bororo, Guarani, Juruna, Kaiowá, Kayabi, Mura, Pankararu, Sateré-Mawé, Tapayuna, Tenharim, and Xavante peoples. Through direct observation, interviews, and documentation of canoe-building practices, the research explores how measurements, proportions, material selection, and spatial reasoning are developed and transmitted outside formal schooling. Drawing on perspectives from ethnomathematics and the indiciary paradigm, the article highlights the role of practical experience, environmental knowledge, and collective memory in shaping these techniques. Canoes are thus approached not only as transportation devices, but as material expressions of Indigenous epistemologies that integrate technical efficiency, cultural meaning, and adaptation to specific riverine landscapes.

Obesity is associated with an increased inflammation involved in the development of atherosclerosis and insulinresistance. Macrophages are key in the genesis of these processes. Obesity induces macrop…

Obesity is associated with an increased inflammation involved in the development of atherosclerosis and insulinresistance. Macrophages are key in the genesis of these processes. Obesity induces macrophage accumulation in adiposetissue, they produce many of the inflammatory molecules secreted by adipose tissue like TNF-α, interleukins (IL-1β,IL-6, IL-8), as well as acute phase proteins such as haptoglobin (Hp), PAI-1 and C-reactive protein. The presence of thesemolecules in obesity relates this pathology to various inflammation degrees.The analysis of histological sections obtainedfrom rabbit adipose tissue biopsy samples and processed by the hematoxylin-eosin and immunohistochemistry,showed the effect of metformin, a molecule which acts on the insulin metabolism, by the degeneration of this tissueduring obesity. Metformin and its effects on metabolism are such that decreases the inflammation process suffered byadipose tissue, which is reflected by morphological changes in the distribution and migration of cells in the histologicalstructure.

GWexpy is an open-source Python library that extends the GWpy ecosystem with workflow-level abstractions and I/O adapters tailored for detector commissioning and laboratory-scale experimental diagnost…

GWexpy is an open-source Python library that extends the GWpy ecosystem with workflow-level abstractions and I/O adapters tailored for detector commissioning and laboratory-scale experimental diagnostics. GWexpy provides TimeSeriesMatrix containers, commissioning-oriented analysis primitives including transfer-function estimators and coherence-ranking utilities, and lossless format adapters for common experimental data formats.

Pipeline for cell type label transfer using SCVI and SCANVI models. Integrates single-cell RNA (GEX) and (optionally) ATAC data with an annotated reference to transfer cell type labels via semi-superv…

Pipeline for cell type label transfer using SCVI and SCANVI models. Integrates single-cell RNA (GEX) and (optionally) ATAC data with an annotated reference to transfer cell type labels via semi-supervised deep generative models. When no ATAC h5ad is provided, the pipeline auto-detects GEX-only mode and trains/annotates from the reference atlas using GEX and reference alone.

WDL Analysis Research Pipelines The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…

WDL Analysis Research Pipelines The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Scienc…

Warp Analysis Research Pipelines The Warp Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP Dockers and custom tools in warp-tools repository All Dockers and custom tools used for WARP's WDL Workflows are maintained in a separate repository, warp-tools. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines. Citing WARP When citing WARP, please use the following: Degatano, K.; Awdeh, A.; Dingman, W.; Grant, G.; Khajouei, F.; Kiernan, E.; Konwar, K.; Mathews, K.; Palis, K.; Petrillo, N.; Van der Auwera, G.; Wang, C.; Way, J.; Pipelines, W. WDL Analysis Research Pipelines: Cloud-Optimized Workflows for Biological Data Processing and Reproducible Analysis. Preprints 2024, 2024012131. https://doi.org/10.20944/preprints202401.2131.v1

WDL Analysis Research Pipelines The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences…

WDL Analysis Research Pipelines The WDL Analysis Research Pipelines (WARP) repository is a collection of cloud-optimized pipelines for processing biological data from the Broad Institute Data Sciences Platform and collaborators. WARP provides robust, standardized data analysis for the Broad Institute Genomics Platform and large consortia like the Human Cell Atlas and the BRAIN Initiative. WARP pipelines are rigorously scientifically validated, high scale, reproducible and open source, released under the BSD 3-Clause license. Pipeline releases All pipeline releases are listed on the WARP releases page. To discover and search releases, use the WARP command-line tool Wreleaser. WARP documentation Read more about our pipelines and repository on the WARP documentation site. To contribute to WARP, please read the contribution guidelines.