bluuebunny/crossref_metadata_2025_split huggingface dataset:
Separación endoscópica de componentes por abordaje subcutáneo, experiencia inicial
Authors: Daes Jorge , Daza Juan Carlos 
Published: April 2024

Introducción. La separación clásica de componentes crea un colgajo compuesto, el cual se moviliza para reparar primariamente hernias ventrales sin tensión. La extensa disección requerida produce muchas complicaciones e incapacidad. El abordaje mínimamente invasivo ofrece una alternativa menos mórbida. Se describe en detalle nuestra modificación técnica de la separación de componentes con abordaje endoscópico subcutáneo y los resultados iniciales y a corto plazo de una pequeña serie de pacientes.
Métodos. Se hace una descripción detallada de la técnica con énfasis en la marcación preoperatoria de la línea semilunar bajo guía ecográfica y se evalúan los resultados de su aplicación en una serie piloto de seis casos de hernias ventrales grandes, intervenidos entre octubre de 2012 y febrero de 2013. Todos los pacientes han sido evaluados clínicamente entre los cuatro y los ocho meses después de la cirugía y, mediante una tomografía computadorizada de abdomen, a los tres meses.

Resultados. Un paciente presentó un gran hematoma subcutáneo. No se presentaron otras complicaciones, como infección, problemas relacionados con la malla o seromas. No ha habido recurrencias durante el seguimiento clínico. El control tomográfico a los tres meses de la cirugía demostró una pared abdominal íntegra excepto por un pequeño defecto de 1 cm, bien reforzado por la malla, en uno de los pacientes.
Discusión. La modificación descrita de la separación de componentes por abordaje endoscópico subcutáneo es factible, reproducible, ergonómica y de baja morbilidad en el corto plazo. Es necesario hacer un seguimiento más largo para evaluar la tasa de recurrencia.
A Risk-based Approach for Waste Management in the Modern Circular Economy: Propositions from the EU Recycling Industries
Authors: Hennebert Pierre , Navazas Alejandro , Katrakis Emmanuel 
Published: April 2024

EuRIC, the European Recycling Industries’ Confederation, proposes five regulatory actions to enhance material circularity:
i)	Set stable regulations based on the principle of "one substance - one assessment" along with realistic, evidence-based scientific risk assessments;
ii)	Prioritise increasing waste collection for a better elimination of substances of concern to reducing the concentration limit in recycled products;
iii)	Strict enforcement of an Extended Producer Responsibility (EPR) scheme for all restricted or banned substances, where exemptions should be carefully considered by evidence-based science;
iv)	Align the classification hazard systems used for waste materials with those used for products;
v)	Grant an end-of-waste status (EoW) at the output of a controlled, certified industrial loop.
Those propositions create a level playing field for collection, sorting, and waste preparation within EU and an improved waste shipment. The underlying question is striking the right balance between the precautionary and responsibility principles in the circular economy. Given the presence of hazardous "legacy" substances and the prolonged life of certain products within an evolving regulatory framework, the recycling industry proposes controlled-risk solutions aligned with the intended use or recycled materials for products not yet ecodesigned. The recommendations suggest a shift in the waste definition, considering the fate of matter within the waste hierarchy—emphasizing prevention, management, and policy alignment with the principles of the circular economy. So, materials that can be prepared for reuse or recycling are categorized as pre-materials, while those suitable only for other recovery methods such as energy recovery or landfilling are considered wastes.
The Changing Trends of Coalition Politics of Kerala from its Origin to 2016 in India
Authors: Saha Tularam , Dakua Goutam 
Published: April 2024

The Constitution of India provide for a federal system of government though the term ‘federalism’ which is nowhere been used in the constitution. But the article 1 of the constitution describes that India, that is Bharat, shall be a Union of States. K.C. where describes Indian federalism as “Quasi-federal”. Granville Austin called it ‘co-operative federalism.’ And Ivor Jennings describes it as ‘federation with strong centralizing tendency’. This nature of Indian federalism has leads India towards coalition. The coalition politics at the central level has been relatively a recent phenomenon but at the state level it has been in operation right after the first general election (1952). The growth of regional parties and dominant leadership at state level has federalized the polity and the state government has stretched their arms. The first coalition at state level formed in Kerala in 1954. The coalition politics is a time-tested thing in contemporary democracy. The concept of coalition politics occurred when the states used to ally with each other in order to defect of a common enemy. In 1954 the Congress created a coalition government in Kerala. Since this time Kerala has been living with coalition rule after regular intervals. The politics in Kerala is dominated by two coalition fronts: the communist party of India (Marxist)- led left Democratic front (LDF) and the Indian National Congress – led United Democratic Front (UDF) since late 1970s. Kerala was the first Indian state where the communists were chosen to power. Since the early 1980s these two coalitions have alternate in government. They are unable to gain re- election for a second term. These two-alliance coalition have occurred periodically and ruled continued to 2016 election. In May 2016, the LDF win election and now in power. This LDF coalition occurred with CPI (M)-58, CPI-19, TDS-3, NCP-2, KCB-1, CPM(L)-1, CS-1 and Independents-5.
A revised electrodiagnosis-based severity classification for carpal tunnel syndrome
Authors: Jung Do Hun , Lee Sang-Eok , Park Dougho , Lee Jang Woo 
Published: April 2024

BACKGROUND: An electrodiagnostic evaluation is conducted to diagnose carpal tunnel syndrome (CTS) and evaluate its severity. OBJECTIVE: This study proposes a revised approach for classifying the severity of electrophysiological findings for patients with CTS. METHODS: This retrospective cross-sectional study included patients with CTS confirmed through electrodiagnostic evaluations. Based on the Stevens’ classification, the patients were divided into three groups (mild/moderate/severe). A new intermediate group was defined to identify patients with normal motor nerve conduction studies and abnormal electromyographic results. CTS pain was evaluated using a numeric rate scale. Physical examinations and sonographic evaluation were performed to detect anatomical abnormalities. RESULTS: Overall, 1,069 CTS hands of 850 CTS patients were included. The mean age was 57.9 ± 10.8 years, and 336 (39.5%) were men. There were 522 (48.8%) mild cases; 281 (26.3%) moderate cases; and 266 (24.9%) severe cases. In the severe group, 49 cases were reclassified into the intermediate group. The median cross-sectional area in the intermediate group significantly differed from that in the severe group. However, the pain score significantly differed from that of the moderate group. CONCLUSION: The intermediate CTS group showed clinical features that were intermediate to those of the moderate and severe CTS groups.
Temper wolf hunt optimization enabled GAN for robust image encryption
Authors: K M M Parvathraj , B K Anoop 
Published: April 2024

In today’s digital era, the security of sensitive data, particularly in the realm of multimedia, is of paramount importance. Image encryption serves as a vital shield against unauthorized access and ensures the confidentiality and integrity of visual information. As such, the continuous pursuit of robust and efficient encryption techniques remains a pressing concern. This research introduces a Temper Wolf Hunt Optimization enabled Generative Adversarial Network Encryption model (TWHO-GAN), designed to address the challenges of image encryption in the modern digital landscape. TWHO, inspired by the collective hunting behavior of wolf and coyote packs, is employed to generate highly secure encryption keys. This algorithm excels in exploring complex solution spaces, creating robust, attack-resistant keys. In TWHO-GAN model, GANs are employed to create encrypted images that are virtually indistinguishable from their original counterparts, adding a layer of security by generating complex encryption keys and ensuring robust protection against attacks. The GAN component reconstructs the encrypted images to their original form when decrypted with the correct keys, ensuring data integrity while maintaining confidentiality. Further, the significance of the proposed model relies on the TWHO algorithm formulated by the integration of the adaptability and coordinated hunting strategies to optimize the chaotic map generation in image encryption protecting the sensitive visual information from unauthorized access as well as potential threats. Through extensive experimentation and comparative analysis, TWHO-GAN demonstrates superior performance in image encryption, surpassing former methods in terms of Cs, 𝐻𝑖𝑠C, MSE, PSNR, RMSE, and SSIM attaining values of 0.93, 94.19, 3.274, 59.70 dB, 1.8095, and 0.940 respectively for 5 numbers of images. Moreover, the TWHO-GAN approach attained the values of 0.91,92.22, 2.03, 49.74 dB, 1.42, and 0.88 for Cs, HisC, MSE, PSNR, RMSE, and SSIM respectively utilizing the Airplanes dataset. The model exhibits robust resistance to various attacks, making it a compelling choice for secure image transmission and storage.
Total Tau Protein Mediates the Association of Ischemic Cerebrovascular Disease with Cognitive Decline
Authors: Han Shuang-Ling , Ou Ya-Nan , Han Bao-Lin , Guo Hai-Hua , Chi Hao-Chen , Huang Yi-Ming , Wang Hui-Fu , Tan Lan 
Published: April 2024

Background: Patients with transient ischemic attack (TIA) or ischemic stroke demonstrate an increased risk of cognitive dysfunction. Accumulating evidence indicates that ischemic cerebrovascular disease (ICVD) may interact with the amyloid/tau/neurodegeneration (AT[N]) biomarkers to promote dementia. However, the precise pathological mechanisms remain to be fully characterized. Objective: To elucidate the interrelationships among ICVD, ATN biomarkers in cerebrospinal fluid (CSF), and cognition. Methods: A total of 2524 participants were recruited from the CABLE study. ICVD referred to TIA/ischemic stroke. Cognitive performance was assessed by China Modified Mini-Mental State Examination (CM-MMSE) and Montreal Cognitive Assessment-b (MoCA-b). Multivariate linear regression analyses were performed to evaluate the associations of ICVD with CSF ATN biomarkers and cognition. Causal mediation analyses were used to identify whether the association was mediated by ATN biomarkers. Results: ICVD was associated with higher total-tau (t-tau) ( p = 2.828×10–2) and poorer cognition (CM-MMSE: p = 1.539×10–5, MoCA-b: p = 4.552×10–6). Additionally, no discernible correlation surfaced between ICVD and amyloid-β (Aβ) 42 ( p = 6.910×10–1) or phosphorylated tau (p-tau) ( p = 4.324×10–1). The influence of ICVD on cognitive function was partially mediated by CSF t-tau (CM-MMSE: proportion: 2.74%, MoCA-b: proportion: 2.51%). Subgroup analyses revealed the influences of t-tau were especially evident in male (CM-MMSE: proportion: 5.45%, MoCA-b: proportion: 5.38%) and mid-life group (CM-MMSE: proportion: 9.83%, MoCA-b: proportion: 5.31%). Conclusions: These results delineated t-tau as a potential mediator for the influence of ICVD on cognition. Targeting brain ischemia and alleviating neuronal injury induced by ischemia may be a promising approach for preventing cognitive decline.
Climate change scenario analysis in Spree catchment, Germany using statistically downscaled ERA5-Land climate reanalysis data
Authors: Buela Leunell Chris M. 
Published: April 2024

This study focuses on the statistical downscaling of ERA5-Land reanalysis data using the Statistical DownScaling Model (SDSM) to generate climate change scenarios for the Spree catchment. Linear scaling was used to reduce the biases of the Global Climate Model for precipitation and temperature. The statistical analyses demonstrated that this method is a promising and straightforward way of correcting biases in climate data. SDSM was used to generate climate change scenarios, which considered three emission scenarios: RCP 2.6, RCP 4.5, and RCP 8.5. The results indicated that higher precipitation is expected under higher emission scenarios. Specifically, the summer and autumn seasons were projected to experience up to 50 mm more rainfall in the next 80 years, and the temperature was projected to increase by up to 1∘C by 2100. These projections of climate data for different scenarios are useful for assessing water management studies for agricultural and hydrologic applications considering changing climate conditions. This study highlights the importance of statistical downscaling and scenario generation in understanding the potential impacts of climate change on water resources. The results of this study can provide valuable insights into water resource management, especially on adapting to changing climate conditions.
Resolution analysis of a volumetric coded aperture X-ray diffraction imaging system
Authors: Gude Zachary , Kapadia Anuj J. , Greenberg Joel A. 
Published: April 2024

BACKGROUND: A coded aperture X-ray diffraction (XRD) imaging system can measure the X-ray diffraction form factor from an object in three dimensions –X, Y and Z (depth), broadening the potential application of this technology. However, to optimize XRD systems for specific applications, it is critical to understand how to predict and quantify system performance for each use case. OBJECTIVE: The purpose of this work is to present and validate 3D spatial resolution models for XRD imaging systems with a detector-side coded aperture. METHODS: A fan beam coded aperture XRD system was used to scan 3D printed resolution phantoms placed at various locations throughout the system’s field of view. The multiplexed scatter data were reconstructed using a model-based iterative reconstruction algorithm, and the resulting volumetric images were evaluated using multiple resolution criteria to compare against the known phantom resolution. We considered the full width at half max and Sparrow criterion as measures of the resolution and compared our results against analytical resolution models from the literature as well as a new theory for predicting the system resolution based on geometric arguments. RESULTS: We show that our experimental measurements are bounded by the multitude of theoretical resolution predictions, which accurately predict the observed trends and order of magnitude of the spatial and form factor resolutions. However, we find that the expected and observed resolution can vary by approximately a factor of two depending on the choice of metric and model considered. We observe depth resolutions of 7–16 mm and transverse resolutions of 0.6–2 mm for objects throughout the field of view. Furthermore, we observe tradeoffs between the spatial resolution and XRD form factor resolution as a function of sample location. CONCLUSION: The theories evaluated in this study provide a useful framework for estimating the 3D spatial resolution of a detector side coded aperture XRD imaging system. The assumptions and simplifications required by these theories can impact the overall accuracy of describing a particular system, but they also can add to the generalizability of their predictions. Furthermore, understanding the implications of the assumptions behind each theory can help predict performance, as shown by our data’s placement between the conservative and idealized theories, and better guide future systems for optimized designs.
CT-based intratumoral and peritumoral deep transfer learning features prediction of lymph node metastasis in non-small cell lung cancer
Authors: Lu Tianyu , Ma Jianbing , Zou Jiajun , Jiang Chenxu , Li Yangyang , Han Jun 
Published: April 2024

BACKGROUND: The main metastatic route for lung cancer is lymph node metastasis, and studies have shown that non-small cell lung cancer (NSCLC) has a high risk of lymph node infiltration. OBJECTIVE: This study aimed to compare the performance of handcrafted radiomics (HR) features and deep transfer learning (DTL) features in Computed Tomography (CT) of intratumoral and peritumoral regions in predicting the metastatic status of NSCLC lymph nodes in different machine learning classifier models. METHODS: We retrospectively collected data of 199 patients with pathologically confirmed NSCLC. All patients were divided into training ( n = 159) and validation ( n = 40) cohorts, respectively. The best HR and DTL features in the intratumoral and peritumoral regions were extracted and selected, respectively. Support Vector Machine (SVM), k-Nearest Neighbors (KNN), Light Gradient Boosting Machine (Light GBM), Multilayer Perceptron (MLP), and Logistic Regression (LR) models were constructed, and the performance of the models was evaluated. RESULTS: Among the five models in the training and validation cohorts, the LR classifier model performed best in terms of HR and DTL features. The AUCs of the training cohort were 0.841 (95% CI: 0.776–0.907) and 0.955 (95% CI: 0.926–0.983), and the AUCs of the validation cohort were 0.812 (95% CI: 0.677–0.948) and 0.893 (95% CI: 0.795–0.991), respectively. The DTL signature was superior to the handcrafted radiomics signature. CONCLUSIONS: Compared with the radiomics signature, the DTL signature constructed based on intratumoral and peritumoral areas in CT can better predict NSCLC lymph node metastasis.
Clinical Audit: Oxygen Prescription with Target Saturations in Post Anesthesia Care Unit
Authors: Hassan Murtaza , Khan Muhammad Imran , Ali Nasir , Nadeem Sidra , Kamal Mohsin , Shewani Adil , Basit Abdul , Afridi Ashfaq 
Published: April 2024

Background: Supplemental oxygen therapy is commonly administered to the majority of postoperative surgical patients in order to prevent hypoxemia, which is one of the most common and significant respiratory problems following surgery. Furthermore, although regular supplemental oxygen administration is not advised for non-hypoxemic patients suffering from a number of acute conditions, including acute coronary syndrome and stroke, high-dose oxygen therapy is advised in a few specific situations to lower the risk of surgical site infections (SSIs) following surgery. In the proposed audit, we examine the practice of oxygen prescription related to the oxygen therapy. According to Choudhury et al. [1], the primary goal of this audit is to evaluate both the physician and nursing team follow the guidelines in the prescription, monitoring, and documentation of oxygen utilization. Its goals are to identify presently non-compliant with local hospital guidelines and provide solutions to help the hospital improve compliance.

Methods: 30 patients in PACU were monitored for supplementary oxygen treatment over a month during February 2024. The oxygen prescription of all patients was analyzed using their prescription drug kardex.

Result: Out of 30 total patients, there is a valid oxygen therapy prescription in main PACU of CUH (100%), oxygen prescription section in the PACU drug chart completed (3.3%), correct target oxygen saturation is prescribed for the 1 patient (3.3%), patient with a target saturation range (0%), patient have a valid oxygen delivery device prescribed on the drug chart (3.3%), valid time duration for oxygen delivery mentioned in the drug chart (0%), documentation contain observation of oxygen saturation (100%)

Conclusions: This audit uncovered major gaps in tertiary care hospital oxygen prescription. As many PACU patients who use supplemental oxygen are still at risk of developing hypoxic injury due to non-complaint with local guidelines for oxygen prescription. The training of physicians and nurses in the use of oxygen should be updated regularly.
Tantangan Transformasi Digital Bagi Kemajuan Perekonomian Indonesia
Authors: Aysa Imma Rokhmatul 
Published: April 2024

Ekonomi digital saat ini terus berkembang di dunia tak terkecuali di Indonesia, hal ini ditandai dari meningkatnya pengguna internet. Awal tahun 2021 pengguna internet di Indonesia mencapai 202,6 juta jiwa meningkat 15,5 persen atau 27 juta jiwa jika dibandingkan pada Januari 2020. Terlebih saat pandemi covid-19 telah merubah mekanisme pelayanan jasa dan perilaku konsumen. Para pelaku usaha perlu berinovasi agar bagaimana bisa menyelaraskan kebiasaan baru para konsumen dari model jual beli konvensional menjadi e-commerce. Asosiasi Ecommerce Indonesia mencatat bahwa hingga Maret 2021 jumlah UMKM yang tergabung dalam berbagai marketplace telah mencapai kisaran 4,8 juta. Angka tersebut mengalami kenaikan dari akhir 2020 sebesar 3,8 juta. Namun ternyata kemajuan digitalisasi tak hanya mendatangkan keuntungan bagi pelaku usaha yang mampu berkembang dalam mengikuti kemajuan teknologi, namun juga menjadikan ketimpangan bagi yang tidak mampu mengikuti perkembangan digitalisasi. Penelitian ini adalah kajian pustaka dan hasil olah pikir peneliti. Jenis data yang digunakan adalah data sekunder dengan pendekatan kualitatif. Beberapa manfaat yang bisa kita peroleh dari digitalisasi bagi perkembangan perekonomian Indonesia diantanya pangsa pasar luas, transaksi lebih mudah, produksi meningkat, pembayaran lebih sederhana, dan promosi lebih variatif. Sedangkan sisi mudharat diantaranya kurangnya serapan tenaga kerja, rentan terjadi penipuan, dan plagiarisme. Selain itu sektor yang potensial berkembang di era digitalisai diantanya sektor keuangan, sektor pertanian, dan sektor kebudayaan, pariwisata, dan ekonomi kreatif.
Analisis Pengukuran Produktivitas di PT Powertek Industri Mandiri dengan Metode Omax (Objective Matrix)
Authors: Ariyanda Fashal , Priyana Efta Dhartika 
Published: April 2024

PT. Powertek Industri Mandiri adalah perusahaan yang bergerak di bidang jasa service servo, inverter (VFD) dan panel, dalam pelaksaaan magang di PT. Powertek Industri Mandiri mengalami kendala dalam hal produktivitas yang banyak tidak terselesaikan. Sesuai dengan permssalahan yang dialami penggunaan metode OMAX diharapkan bisa menyelesaikan kendala dalam hal produktivitas, data yang digunakan adalah data wawancara dan data job order masuk dan terselesaikan. Dari hasil analisa didapatkan hasil yaitu produktivitas paling baik terjadi pada bulan agustus 2022 dengan hasil 750, dan produktivitas terburuk terjadi pada bulan maret dan desember dengan hasil 400. Dilanjutkan dengan penggunaan metode TLS yang bertujuan untuk mengetahui kualitas, dan kuantitas yang berpengaruh terhadap produktivitas perusahaan.