bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pembrolizumab monotherapy survival benefits in metastatic non-small-cell lung cancer: a systematic review of real-world data
Authors: Macioch Tomasz , Krzakowski Maciej , Gołębiewska Klaudia , Dobek Małgorzata , Warchałowska Natalia , Niewada Maciej 
Published: July 2024

AbstractThe efficacy of pembrolizumab in the treatment-naïve non-small-cell lung cancer (NSCLC) patients was proved in the KEYNOTE-024 randomized trial. The aim of this systematic literature review was to identify and summarize the real world evidence (RWE) of overall survival (OS) in previously untreated patients with NSCLC receiving pembrolizumab monotherapy. A systematic search was conducted in PubMed (MEDLINE®) and EMBASE databases. Analyses were focused on survival data (median OS and survival rates at specific time points). To explore the population comparable with the KEYNOTE-024 study, we focused on studies enrolling at least 50% of patients at stage IV of cancer and ECOG performance status 0–2. A total of 41 RWE studies covering over 7600 advanced NSCLC patients naïve to systemic treatment were identified. Overall, survival outcomes reported in those studies vary considerably (median OS range: 3.0–34.6 months). Most RWE studies reported median OS shorter to that reported in KEYNOTE-024 (26.3 months), but about half of reported OS medians were in range of 95% confidence interval for OS as reported in KEYNOTE-024 trial (18.3–40.4 months). Patients with similar characteristics of stage and performance status to those of KEYNOTE-024 trial benefited the same with pembrolizumab monotherapy as their survival outcomes (18.9–22.8 months) were consistent with those reported in the clinical trial. RWE data showed substantially worse outcomes in patients with ECOG-PS 2+ compared to ECOG-PS 0–1 patients.
Construction and validation of the prognostic nomogram model for patients with diffuse-type gastric cancer based on the SEER database
Authors: Huang Ting , Chan ChuiPing , Zhou Heran , Hu Keke , Wang Lu , Ye Zhifeng 
Published: July 2024

Abstract
Objective
The prognostic factors of diffuse GC patients were screened the prognostic nomogram was constructed, and the prediction accuracy was verified.

Methods
From 2006 to 2018, there were 2877 individuals pathologically diagnosed with diffuse gastric cancer; the clinicopathological features of these patients were obtained from the SEER database & randomly divided into a training cohort (1439) & validation cohort (1438).To create prognostic nomograms & choose independent prognostic indicators to predict the overall survival (OS) of 1, 3, & 5 years, log-rank & multivariate COX analysis were utilized & discrimination ability of nomogram prediction using consistency index and calibration curve.

Results
Age, T, N, M, TNM, surgical status, chemotherapy status, & all seven markers were independent predictors of OS (P < 0.05), & a nomogram of OS at 1, 3, & 5 years was created using these independent predictors. The nomogram's c-index was 0.750 (95% CI 0.734 ~ 0.766), greater than the TNM staging framework 0.658 (95%CI 0.639 ~ 0.677); the c-index was 0.753 (95% CI 0.737 ~ 0.769) as well as superior to the TNM staging mechanism 0.679 (95% CI 0.503–0.697). According to the calibration curve, the projected survival rate using the nomogram & the actual survival rate are in good agreement.

Conclusions
Prognostic nomograms are useful tools for physicians to assess every individual's individualised prognosis & create treatment strategies for those with diffuse gastric cancer. They can reliably predict the prognosis for individuals with diffuse gastrointestinal carcinoma.
Nanoparticles in liposomes: a platform for increased antibiotic selectivity in multidrug resistant bacteria in respiratory tract infections
Authors: Fakhoury Nathalie E. , Mansour Samar , Abdel-Halim Mohammad , Hamed Mostafa M. , Empting Martin , Boese Annette , Loretz Brigitta , Lehr Claus-Michael , Tammam Salma N. 
Published: July 2024

Abstract
Antibiotic resistance is a cause of serious illness and death, originating often from insufficient permeability into gram-negative bacteria. Nanoparticles (NP) can increase antibiotic delivery in bacterial cells, however, may as well increase internalization in mammalian cells and toxicity. In this work, NP in liposome (NP-Lip) formulations were used to enhance the selectivity of the antibiotics (3C and tobramycin) and quorum sensing inhibitor (HIPS-1635) towards Pseudomonas aeruginosa by fusing with bacterial outer membranes and reducing uptake in mammalian cells due to their larger size. Poly (lactic-co-glycolic) acid NPs were prepared using emulsion solvent evaporation and incorporated in larger liposomes. Cytotoxicity and uptake studies were conducted on two lung cell lines, Calu-3 and H460. NP-Lip showed lower toxicity and uptake in both cell lines. Then formulations were investigated for suitability for oral inhalation. The deposition of NP and NP-Lip in the lungs was assessed by next generation impactor and corresponded to 75% and 45% deposition in the terminal bronchi and the alveoli respectively. Colloidal stability and mucus-interaction studies were conducted. NP-Lip showed higher diffusion through mucus compared to NPs with the use of nanoparticle tracking analyzer. Moreover, the permeation of delivery systems across a liquid-liquid interface epithelial barrier model of Calu-3 cells indicated that NP-Lip could cause less systemic toxicity upon in-vivo like administration by aerosol deposition. Monoculture and Pseudomonas aeruginosa biofilm with Calu-3 cells co-culture experiments were conducted, NP-Lip achieved highest toxicity towards bacterial biofilms and least toxicity % of the Calu-3 cells. Therefore, the NP- liposomal platform offers a promising approach for enhancing antibiotic selectivity and treating pulmonary infections.

Graphical abstract
A whole-body mechanistic physiologically-based pharmacokinetic modeling of intravenous iron
Authors: Fan Xiaoqing , Cao Kangna , Wong Raymond S. M. , Yan Xiaoyu 
Published: July 2024

Abstract
Iron is essential for every cell of the mammalian organism. Iron deficiency is a major public health issue worldwide. Intravenous (IV) iron therapy has been used to treat anemia. However, IV iron therapy is known far away from ideal because the quantitative relationship between the pharmacokinetics and biodistribution of IV iron under different iron statuses remains unclear. Patients are known to suffer adverse effects from excessive iron accumulation. Our objective was to develop a physiologically based pharmacokinetic (PBPK) model of iron in mice and validate its application for predicting iron disposition in rats and humans. Previously published data on iron were collected for constructing the PBPK model of iron in mice, and then extrapolated to rats and humans based on physiologically and chemically specific parameters relevant to each species. The PBPK model characterized the distribution of iron in mice successfully. The model based on extrapolation to rats accurately simulated the ferric carboxymaltose (FCM) PK profiles in rat tissues. Similarly, the observed and simulated serum PK of FCM in humans were in reasonable agreement. This mechanistic whole-body PBPK model is useful for understanding and predicting iron effects on different species. It also establishes a foundation for future research that incorporates iron kinetics and biodistribution, along with related clinical experiments. This approach could lead to the development of effective and personalized iron deficiency anemia treatments.

Graphical Abstract

Major components and processes of whole-body systemic iron trafficking.
Incorporating long-tail data in complex backgrounds for visual surface defect detection in PCBs
Authors: Zhu Liying , Wang Sen , Chen Mingfang , Shen Aiping , Li Xuangang 
Published: July 2024

AbstractHigh-quality printed circuit boards (PCBs) are essential components in modern electronic circuits. Nevertheless, most of the existing methods for PCB surface defect detection neglect the fact that PCB surface defects in complex backgrounds are prone to long-tailed data distributions, which in turn affects the effectiveness of defect detection. Additionally, most of the existing methods ignore the intra-scale features of defects and do not utilize auxiliary supervision strategies to improve the detection performance of the network. To tackle these issues, we propose a lightweight long-tailed data mining network (LLM-Net) for identifying PCB surface defects. Firstly, the proposed Efficient Feature Fusion Network (EFFNet) is applied to embed intra-scale feature associations and multi-scale features of defects into LLM-Net. Next, an auxiliary supervision method with a soft label assignment strategy is designed to help LLM-Net learn more accurate defect features. Finally, the issue of inadequate tail data detection is addressed by employing the devised Binary Cross-Entropy Loss Rank Mining method (BCE-LRM) to identify challenging samples. The performance of LLM-Net was evaluated on a homemade dataset of PCB surface soldering defects, and the results show that LLM-Net achieves the best accuracy of mAP@0.5 for the evaluation metric of the COCO dataset, and it has a real-time inference speed of 188 frames per second (FPS).
Extractability and mineralogical evaluation of rare earth elements from Waterberg Coalfield run-of-mine and discard coal
Authors: Modiga Agnes , Eterigho-Ikelegbe Orevaoghene , Bada Samson 
Published: July 2024

AbstractThis study explores the extraction of rare earth elements (REEs) from high-ash run-of-mine and discard coal sourced from the Waterberg Coalfield. Three distinct methods were employed: (1) ultrasonic-assisted caustic digestion; (2) direct acid leaching; and (3) ultrasonic-assisted caustic-acid leaching. Inductively coupled plasma mass spectrometry was utilized to quantify REEs in both the coals and resultant leachates. Leaching the coals with 40% NaOH at 80 °C, along with 40 kHz sonication, yielded a total rare earth element (TREE) recovery of less than 2%. Notable enrichment of REEs was observed in the run-of-mine and discard coal by 17% and 19%, respectively. Upon employing 7.5% HCl, a recovery of less than 11.0% for TREE was achieved in both coal samples. However, leaching the caustic digested coal samples with 7.5% HCl significantly enhanced the TREE recovery to 88.8% and 80.0% for run-of-mine and discard coal, respectively. X-ray diffraction analysis identified kaolinite and quartz as the predominant minerals. Scanning electron microscopy-energy dispersive microanalysis revealed monazite and xenotime as the REE-bearing minerals within the coal samples. These minerals were found either liberated, attached to, or encapsulated by the clay-quartz matrices. Further mineralogical assessments highlighted the increased REE concentrations in coals post-caustic digestion and subsequent recovery during acid leaching. This increase was attributed to the partial dissolution of kaolinite encapsulating the RE-phosphates and the digestion of REE-bearing minerals. Notably, undissolved REE-bearing elements in the caustic-acid-leached coal indicated the necessity of harsh leaching conditions to augment REE recovery from these coal samples.
Contribution to the Fracture Mechanics Characterization of Repair Welding of Thick-Walled Ductile Cast Iron Components
Authors: Trubitz Peter , Grützner Steffen , Krüger Lutz 
Published: July 2024

AbstractFor the spheroidal graphite cast iron materials, also known as ductile cast iron (DCI), EN-GJS-400-18-LT and EN-GJS-450-18, different welding procedures were examined for potential repair welding. A repair weld was performed on thick cast iron plates using the optimum procedure in each case. The weld was evaluated for all areas of the welded joint (weld metal, fusion line/heat-affected zone and base metal). In addition to the metallographic microstructural analysis, the characterization of the repair weld was carried out by means of hardness distribution measurements, static tensile testing and notched bar impact testing as well as fracture mechanics investigations under static and under cyclic loading in a wide load ratio range. On this basis, a generalized description of cyclic crack growth could be made according to the NASGRO® MODEL. NASGRO® is a fracture mechanics and fatigue crack growth software. In accordance with the possible operating conditions of repair-welded, thick-walled components, the static and impact tests were performed in the temperature range down to $$-$$
-
40 $${}^{\circ }\text {C}$$

∘

C

.
Competing roles of microstructure and defects on the mechanical properties of laser-powder bed fused Ti-6Al-2Sn-4Zr-2Mo alloy
Authors: Kaushik Harish Chandra , Shakerin Sajad , Korayem Mahdi Habibnejad , Mohammadi Mohsen , Hadadzadeh Amir 
Published: July 2024

Abstract
Using different volumetric energy densities (

$${E}_{\text{v}}$$

E
v

), the microstructure, texture, and defect evolution in laser-powder bed fused (PBF-LB/M) Ti-6Al-2Sn-4Zr-2Mo (Ti-6242) alloy is studied. PBF-LB/M Ti-6242 rods were manufactured using different

$${E}_{\text{v}}$$

E
v

ranging from 41.67 to 66.67 J/mm3. The

$${E}_{\text{v}}$$

E
v

is varied by setting the scan speed to 1000 mm/s, 1200 mm/s, 1400 mm/s, and 1600 mm/s. The mechanical properties (yield strength, tensile strength, and strain at fracture) were then studied under quasi-static loading conditions. It is observed that the strength of the sample printed using the lowest

$${E}_{\text{v}}$$

E
v

is lower than the other conditions due to the formation of the lack of fusion defects. In addition, the sample printed with the highest

$${E}_{\text{v}}$$

E
v

consists of redeposited process by-products that result in the lowest ductility. The microstructure and texture of the samples were studied using electron backscatter diffraction. The results show that microstructural features including α′ lath width, dislocation density, and lath orientation (texture) were almost identical under different

$${E}_{\text{v}}$$

E
v

. Therefore, the variations in mechanical properties may not controlled completely by the microstructure. The defect analysis is conducted employing X-ray computed tomography. The defect characteristics change from keyhole to lack of fusion by varying the

$${E}_{\text{v}}$$

E
v

. The volume fraction of defects in the samples is in the range of 0.0005–0.007%, which seems to be negligible. However, the fractography analysis shows the dominance of defects in controlling the mechanical properties. This study proves the sensitivity of PBF-LB/M Ti-6242 to defects as the mechanical properties were defect-driven rather than microstructure-driven.
Decent Work, Fair Globalisation and the Dreadful ‘J’ Word
Authors: Baxi Upendra 
Published: July 2024

AbstractLong before the term “decent work” became widely recognised, V.V. Giri, B.R. Ambedkar and others emphasised its importance. Work that traps people in bondage or poverty or exposes them to hazards, discrimination or insecurity, prevents individuals and the economies they contribute to from advancing and reaching their full potential. Today, as newer forms of work such as gig work and platform work emerge, it is essential for the law to continuously evolve to protect the interests of all workers. Law without justice is incomplete. Various agencies, including the legal system, the state, enforcement authorities, the civil society, among others, must work together to deliver justice to the broader population, principally the weak and disempowered. In a world where inequality is rising dramatically, justice must not elude the people.
Taming diffusion model for exemplar-based image translation
Authors: Ma Hao , Yang Jingyuan , Huang Hui 
Published: July 2024

AbstractExemplar-based image translation involves converting semantic masks into photorealistic images that adopt the style of a given exemplar. However, most existing GAN-based translation methods fail to produce photorealistic results. In this study, we propose a new diffusion model-based approach for generating high-quality images that are semantically aligned with the input mask and resemble an exemplar in style. The proposed method trains a conditional denoising diffusion probabilistic model (DDPM) with a SPADE module to integrate the semantic map. We then used a novel contextual loss and auxiliary color loss to guide the optimization process, resulting in images that were visually pleasing and semantically accurate. Experiments demonstrate that our method outperforms state-of-the-art approaches in terms of both visual quality and quantitative metrics.
A long-term perspective on collecting Indian agricultural statistics: reviewing the purposes, methods, and implications for Indian development policy
Authors: Fennell Shailaja 
Published: July 2024

AbstractThis article adopts a long-term perspective to examine Indian agricultural data: from crop yields for estimating food output, the examination of food prices and wages for calculating income and living standards, to the status of food consumption to ascertain hunger and malnutrition. The focus will be on the evaluation of how the new statistical data collection methods that emerged in the early decades of twentieth century have impacted the field of development economics in India. It makes the case that the emergence of survey methods data that were initially created by officials and later on by professionals employed in institutions in India were novel and began to gain attention in the international sphere. It proceeds to underline the importance of these statistical databases for identifying the minimum standard of living to escape poverty as an important measure for ascertaining how national development strategy could reduce poverty and hunger and also shows that these databases proved to be a core resource for unpicking recent puzzles regarding food and nutrition levels among the poorer sections of society. Additionally, the article engages with more recent estimation methods where survey-based agricultural statistical databases have been incorporated in multi-scalar indices alongside meteorological and ecological data to create more informative agricultural databases to advance the objective of sustainable agricultural development in India.
Evaluating pumice as a sustainable raw material in porcelain tile production: impact on technical properties
Authors: Bayer Ozturk Zahide , Karaca Yusuf , Kurama Semra , Ubay Elif 
Published: July 2024

AbstractPumice, a porous rock resulting from the rapid cooling of tuff fragments during volcanic activity, exhibits a spongy texture and light color due to its low density. Found predominantly in Central Anatolia and Eastern Anatolia, it has drawn interest for industrial applications. This study delved into utilizing micronized pumice within the porcelain tile manufacturing process. Comparative analyses were conducted between formulations incorporating micronized pumice and the standard ceramic tile recipe. In place of feldspar, micronized pumice was introduced at concentrations of 3%, 5%, and 7%, while clay was substituted with micronized pumice at concentrations of 3%, 5%, 7%, and 10% by weight. The prepared bodies were fired in an industrial kiln at 1210 °C for 54 min, and various physical and mechanical properties were evaluated. These included viscosity, sieve residue, green strength pre-firing, firing shrinkage, water absorption, firing strength, and firing color after-firing. The results indicated that the samples incorporating micronized pumice closely matched the physical and mechanical properties of the standard porcelain tile. Phase and microstructural analyses revealed the presence of mullite and quartz phases. Notably, micronized pumice demonstrated promise as a substitute for clay or feldspar, with the optimal usage rate determined to be 7% in the porcelain tile recipe. This indicates that pumice has the potential to be an alternative raw material in the production of porcelain tiles.
Conflict Processing Is Unaffected by Stimulus Duration Across Multiple Visual Tasks: Evidence for Transient over Permanent Activation Models
Authors: Ellinghaus Ruben , Liepelt Roman , Mackenzie Ian G. , Mittelstädt Victor 
Published: July 2024

AbstractPermanent activation models of conflict tasks assume that the distractor constantly provides input into the response selection process as long as the stimulus is presented, whereas transient activation models assume that the influence of distractors is independent of stimulus duration. In the present study, we contrasted the prediction of these two architectures across different visual conflict tasks with manual responses. Specifically, we investigated the effects of short (150 ms) versus response-terminated stimulus duration on the delta plot (DP) slopes in a classic and accessory Simon task (Experiment 1), in a classic Simon and Eriksen flanker task (Experiment 2), and in a word-based (semantic) Simon and classic Stroop task (Experiment 3). Contrary to permanent activation models, all experiments revealed that the DP slopes were largely unaffected by stimulus duration. This result pattern is consistent with transient activation models such as the diffusion model for conflict tasks (DMC). Coherently, DMC was successfully fitted to the data. Importantly, the $$\tau $$
τ
parameter reflecting the time course of distractor activation, as well as other parameters, were largely unaffected by stimulus duration. In conclusion, our results suggest that distractor activation in visual conflict tasks with manual responses is transient rather than permanent, and stimulus duration generally has no meaningful influence on conflict processing.