bluuebunny/crossref_metadata_2025_split huggingface dataset:
Testing complex singlet scalar cosmology at the Large Hadron Collider
Authors: Zhang Wenxing , Cai Yizhou , Ramsey-Musolf Michael J. , Zhang Lei 
Published: January 2024

Abstract
The Standard Model extended with a complex singlet scalar (cxSM) can admit a strong first order electroweak phase transition (SFOEWPT) as needed for electroweak baryogenesis and provide a dark matter (DM) candidate. The presence of both a DM candidate and a singlet-like scalar that mixes with the Standard Model Higgs boson leads to the possibility of a $$ b\overline{b} $$
b

b
¯

+ MET final state in pp collisions. Focusing on this channel, we analyze the prospective reach at the Large Hadron Collider (LHC) for a heavy singlet-like scalar in regions of cxSM parameter space compatible with a SFOEWPT and DM phenomenology. We identify this parameter space while implementing current constraints from electroweak precision observable and Higgs boson property measurements as well as those implied by LHC heavy resonance searches. Implementing a proposed search strategy, we find that the heavy scalar and DM candidate can be probed up to 1 TeV and 450 GeV at 2σ level respectively.
Food safety knowledge, attitudes, and practices of food vendors participating in Nigeria’s school feeding program
Authors: Barnabas Bulus , Bavorova Miroslava , Madaki Mustapha Yakubu , Kächele Harald 
Published: January 2024

AbstractThis study aimed to measure the food safety knowledge, attitude, and practices among food vendors engaged in Nigeria’s ongoing Home-grown School Feeding Program. A cross-sectional survey was conducted in face-to-face interviews with 240 food vendors from 3 states in northeast Nigeria involved in the school feeding program using a structured questionnaire. Multiple linear regression results revealed that increased education and access to information through radio, television, and food inspection institutions increased food safety knowledge. Food safety attitudes score increased with more years of vending experience and accessing food safety information via radio, food inspection institutions, and the Internet. An increase in household size and food safety information from friends and colleagues negatively affected food safety attitude scores. As a result, we emphasize the need for dissemination of improved food safety information via radio, television and food safety inspection institutes. Food vendors in the SFP should be selected after passing a food safety training and gaining food handling experience. Higher education should be a priority criterion in the hiring process.
The Whittaker Functional Is a Shifted Microstalk
Authors: Nadler David , Taylor Jeremy 
Published: January 2024

AbstractFor a smooth projective curve X and reductive group G, the Whittaker functional on nilpotent sheaves on $$Bun _G(X)$$

B
u

n
G

(
X
)

is expected to correspond to global sections of coherent sheaves on the spectral side of Betti geometric Langlands. We prove that the Whittaker functional calculates the shifted microstalk of nilpotent sheaves at the point in the Hitchin moduli where the Kostant section intersects the global nilpotent cone. In particular, the shifted Whittaker functional is exact for the perverse t-structure and commutes with Verdier duality. Our proof is topological and depends on the intrinsic local hyperbolic symmetry of $$Bun _G(X)$$

B
u

n
G

(
X
)

. It is an application of a general result relating vanishing cycles to the composition of restriction to an attracting locus followed by vanishing cycles.
Enhanced efficiency of MS/MS all-ion fragmentation for non-targeted analysis of trace contaminants in surface water using multivariate curve resolution and data fusion
Authors: Vosough Maryam , Salemi Amir , Rockel Sarah , Schmidt Torsten C. 
Published: January 2024

AbstractData-independent acquisition–all-ion fragmentation (DIA-AIF) mode of mass spectrometry can facilitate wide-scope non-target analysis of contaminants in surface water due to comprehensive spectral identification. However, because of the complexity of the resulting MS2 AIF spectra, identifying unknown pollutants remains a significant challenge, with a significant bottleneck in translating non-targeted chemical signatures into environmental impacts. The present study proposes to process fused MS1 and MS2 data sets obtained from LC-HRMS/MS measurements in non-targeted AIF workflows on surface water samples using multivariate curve resolution-alternating least squares (MCR-ALS). This enables straightforward assignment between precursor ions obtained from resolved MS1 spectra and their corresponding MS2 spectra. The method was evaluated for two sets of tap water and surface water contaminated with 14 target chemicals as a proof of concept. The data set of surface water samples consisting of 3506 MS1 and 2170 MS2 AIF mass spectral features was reduced to 81 components via a fused MS1-MS2 MCR model that describes at least 98.8% of the data. Each component summarizes the distinct chromatographic elution of components together with their corresponding MS1 and MS2 spectra. MS2 spectral similarity of more than 82% was obtained for most target chemicals. This highlights the potential of this method for unraveling the composition of MS/MS complex data in a water environment. Ultimately, the developed approach was applied to the retrospective non-target analysis of an independent set of surface water samples.
Graphical abstract
Vivaria housing conditions expose sex differences in brain oxidation, microglial activation, and immune system states in aged hAPOE4 mice
Authors: Reyes-Reyes E. M. , Brown J. , Trial M. D. , Chinnasamy D. , Wiegand J. P. , Bradford D. , Brinton R. D. , Rodgers K. E. 
Published: January 2024

AbstractApolipoprotein E ε4 allele (APOE4) is the predominant genetic risk factor for late-onset Alzheimer’s disease (AD). APOE4 mouse models have provided advances in the understanding of disease pathogenesis, but unaccounted variables like rodent housing status may hinder translational outcomes. Non-sterile aspects like food and bedding can be major sources of changes in rodent microflora. Alterations in intestinal microbial ecology can cause mucosal barrier impairment and increase pro-inflammatory signals. The present study examined the role of sterile and non-sterile food and housing on redox indicators and the immune status of humanized-APOE4 knock-in mice (hAPOe4). hAPOE4 mice were housed under sterile conditions until 22 months of age, followed by the transfer of a cohort of mice to non-sterile housing for 2 months. At 24 months of age, the redox/immunologic status was evaluated by flow cytometry/ELISA. hAPOE4 females housed under non-sterile conditions exhibited: (1) higher neuronal and microglial oxygen radical production and (2) lower CD68+ microglia (brain) and CD8+ T cells (periphery) compared to sterile-housed mice. In contrast, hAPOE4 males in non-sterile housing exhibited: (1) higher MHCII+ microglia and CD11b+CD4+ T cells (brain) and (2) higher CD11b+CD4+ T cells and levels of lipopolysaccharide-binding protein and inflammatory cytokines in the periphery relative to sterile-housed mice. This study demonstrated that sterile vs. non-sterile housing conditions are associated with the activation of redox and immune responses in the brain and periphery in a sex-dependent manner. Therefore, housing status may contribute to variable outcomes in both the brain and periphery.
Metabolic control analysis enabled the improvement of the L-cysteine production process with Escherichia coli
Authors: Caballero Cerbon Daniel Alejandro , Widmann Jeremias , Weuster-Botz Dirk 
Published: January 2024

Abstract
L-cysteine is an amino acid with relevance to the pharmaceutical, food, feed, and cosmetic industry. The environmental and societal impact of its chemical production has led to the development of more sustainable fermentative L-cysteine production processes with engineered E. coli based on glucose and thiosulfate as sulphur source. Still, most of the published processes show low yields. For the identification of further metabolic engineering targets, engineered E. coli cells were withdrawn from a fed-batch production process, followed by in vivo metabolic control analysis (MCA) based on the data of short-term perturbation experiments, metabolomics (LC–MS), and thermodynamic flux analysis (TFA). In vivo MCA indicated that the activities of the L-cysteine synthases of the cells withdrawn from the production process might be limiting, and we hypothesised that the L-cysteine precursor O-acetylserine (OAS) might be exported from the cells faster than it took to transform OAS into L-cysteine. By increasing the expression of the L-cysteine synthases, either sulfocysteine synthase or L-cysteine synthase, which transform OAS into L-cysteine, an improvement of up to 70% in specific L-cysteine productivity and up to 47% in the final L-cysteine concentration was achieved in standardised fed-batch processes thereby increasing the yield on glucose by more than 85 to 9.2% (w/w).

Key points
• Metabolic control analysis was applied to analyse L-cysteine production with E. coli
• OAS export was faster than its transformation to L-cysteine
• Overexpression of L-cysteine synthases improved L-cysteine productivity and yield
Tuning plasmid DNA amounts for cost-effective transfections of mammalian cells: when less is more
Authors: Carreño Aida , Guerrero-Yagüe Rubén , Casal Enriqueta , Mendoza Rosa , Corchero José Luis 
Published: January 2024

Abstract
Transient gene expression (TGE) in mammalian cells is a well-known approach to the fast expression of recombinant proteins. The human cell line HEK (human embryonic kidney) 293F is widely used in this field, due to its adaptability to grow in suspension to high cell densities in serum-free media, amenability to transfection, and production of recombinant proteins in satisfactory quantities for functional and structural analysis. Amounts of plasmid DNA (pDNA) required in transfections for TGE remain high (usually 1 µg pDNA/mL, or even higher), representing a noticeable proportion of the overall cost. Thus, there is an economic need to reduce amounts of coding pDNA in TGE processes. In this work, amounts of both pDNA and transfecting agent used for TGE in HEK 293F cells have been explored in order to reduce them without compromising (or even improving) the productivity of the process in terms of protein yield. In our hands, minimal polyethyleneimine (PEI) cytotoxicity and optimum protein yields were obtained when transfecting at 0.5 µg pDNA/mL (equal to 0.5 µg pDNA/million cells) and a DNA-to-PEI ratio of 1:3, a trend confirmed for several unrelated recombinant proteins. Thus, carefully tuning pDNA and transfecting agent amounts not only reduces the economic costs but also results in higher recombinant protein yields. These results surely have a direct application and interest for the biopharmaceutical industry, always concerned in increasing productivity while decreasing economic costs.

Key points
• Mammalian cells are widely used to produce recombinant proteins in short times.
• Tuning DNA and transfecting agent are of great interest to optimize economic costs.
• Reducing DNA and transfecting agent amounts result in higher protein yields.

Graphical Abstract
Phase I study of the anti-TIGIT antibody tiragolumab in combination with atezolizumab in Japanese patients with advanced or metastatic solid tumors
Authors: Yamamoto Noboru , Koyama Takafumi , Sato Jun , Yoshida Tatsuya , Sudo Kazuki , Iwasa Satoru , Kondo Shunsuke , Yonemori Kan , Kawasaki Atsuko , Satake Kyoko , Shibata Shoyo , Shimizu Toshio 
Published: January 2024

Abstract
Purpose
Tiragolumab is a monoclonal antibody that binds to the inhibitory immune checkpoint TIGIT (T-cell immunoreceptor with Ig and ITIM domains). In early phase clinical trials, tiragolumab in combination with the programmed death-ligand 1-inhibitor atezolizumab was well tolerated and has demonstrated preliminary anti-tumor activity in patients with advanced/metastatic solid tumors. We report the results of a phase I study of tiragolumab plus atezolizumab in Japanese patients (jRCT2080224926).

Methods
Japanese patients ≥ 20 years old received tiragolumab (600 mg) and atezolizumab (1200 mg) intravenously every 21 days until unacceptable toxicity or disease progression. Primary endpoints were safety and pharmacokinetic (PK) parameters of tiragolumab plus atezolizumab. Secondary endpoints were anti-tumor activity.

Results
Three patients were enrolled with diagnoses of non-small cell lung cancer, pancreatic cancer, and cholangiocarcinoma. No dose-limiting toxicities were observed. Two patients experienced treatment-related adverse events (AEs) of any grade. There were no grade ≥ 3 AEs, serious AEs, AEs leading to discontinuation, modification or withdrawal of any study drug, or AEs leading to death. At cycle 1, mean PK parameters of tiragolumab were as follows: Cmax 217 μg/mL; Cmin 54.9 μg/mL; area under the concentration–time curve from 0 to the last measurable concentration, 2000 μg·day/mL; t1/2, 17.6 days. Best overall response was stable disease in two patients.

Conclusion
Tiragolumab plus atezolizumab was well tolerated in Japanese patients with advanced/metastatic solid tumors, and no differences in tiragolumab PK characteristics were noted between Japanese patients enrolled in this study, and non-Japanese patients enrolled in a global phase Ia/Ib study. These results may support the inclusion of Japanese patients in ongoing global phase III clinical trials.

Trial registration number
jRCT2080224926.
CSF and venous blood flow from childhood to adulthood studied by real-time phase-contrast MRI
Authors: Sahoo Prativa , Kollmeier Jost M. , Wenkel Nora , Badura Simon , Gärtner Jutta , Frahm Jens , Dreha-Kulaczewski Steffi 
Published: January 2024

Abstract
Purpose
In vivo measurements of CSF and venous flow using real-time phase-contrast (RT-PC) MRI facilitate new insights into the dynamics and physiology of both fluid systems. In clinical practice, however, use of RT-PC MRI is still limited. Because many forms of hydrocephalus manifest in infancy and childhood, it is a prerequisite to investigate normal flow parameters during this period to assess pathologies of CSF circulation. This study aims to establish reference values of CSF and venous flow in healthy subjects using RT-PC MRI and to determine their age dependency.

Methods
RT-PC MRI was performed in 44 healthy volunteers (20 females, age 5–40 years). CSF flow was quantified at the aqueduct (Aqd), cervical (C3) and lumbar (L3) spinal levels. Venous flow measurements comprised epidural veins, internal jugular veins and inferior vena cava. Parameters analyzed were peak velocity, net flow, pulsatility, and area of region of interest (ROI). Statistical tests: linear regression, student's t-test and analysis of variance (ANOVA).

Results
In adults volunteers, no significant changes in flow parameters were observed. In contrast, pediatric subjects exhibited a significant age-dependent decrease of CSF net flow and pulsatility in Aqd, C3 and L3. Several venous flow parameters decreased significantly over age at C3 and changed more variably at L3.

Conclusion
Flow parameters varies depending on anatomical location and age. We established changes of brain and spinal fluid dynamics over an age range from 5–40 years. The application of RT-PC MRI in clinical care may improve our understanding of CSF flow pathology in individual patients.
Dysphagia Management in the Emergency Department: Using Concept Mapping to Identify Actionable Change to Improve Services
Authors: Lal Pranika B. , Ward Elizabeth C. , Wishart Laurelie R. , Foley Jasmine , Schwarz Maria , Seabrook Marnie , O’Donnell Carolann , Coccetti Anne 
Published: January 2024

Abstract
Background
Integrated speech-language pathology (SLP) services within the emergency department (ED) may facilitate timely dysphagia management. However, there are multiple patient and logistical factors specific to the ED that challenge the delivery of optimal dysphagia referral and management practices within this setting. The aim of the current study was to engage a stakeholder group to identify prioritised, actionable goals that could help enhance dysphagia management within the ED.

Methods and Procedures
Applying concept mapping methodology, 16 ED stakeholders from SLP, medical, nursing, and leadership participated in semi-structured interviews to develop action statements which were sorted and ranked for importance and changeability. Multidimensional scaling and hierarchical cluster analysis were used to organise data in clusters with unifying themes before statements were ranked by importance and changeability.

Outcomes and Results
Stakeholders identified 53 unique statements, grouped into 8 clusters. Review of the 8 clusters identified 3 overarching aspects for change: (a) Improving processes related to identification and referral of patients as well as communication; (b) Teamwork and collaboration amongst the ED multidisciplinary team and SLP; and (c) Improving staffing and access to training resources for SLP and nursing teams.
Seventeen statements were within the Go-zone rated highest for importance and changeability) with the highest rated statement being: Clear documentation by SLP re: recommendations.

Conclusion
The current data identified multiple aspects of service provision that require change to facilitate improved dysphagia referral and management services in the ED. Collaborative actions are required by both SLP and the ED multidisciplinary team to help optimise dysphagia services.
Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making
Authors: Shams Mahmoud Y. , Gamel Samah A. , Talaat Fatma M. 
Published: January 2024

AbstractCrop Recommendation Systems are invaluable tools for farmers, assisting them in making informed decisions about crop selection to optimize yields. These systems leverage a wealth of data, including soil characteristics, historical crop performance, and prevailing weather patterns, to provide personalized recommendations. In response to the growing demand for transparency and interpretability in agricultural decision-making, this study introduces XAI-CROP an innovative algorithm that harnesses eXplainable artificial intelligence (XAI) principles. The fundamental objective of XAI-CROP is to empower farmers with comprehensible insights into the recommendation process, surpassing the opaque nature of conventional machine learning models. The study rigorously compares XAI-CROP with prominent machine learning models, including Gradient Boosting (GB), Decision Tree (DT), Random Forest (RF), Gaussian Naïve Bayes (GNB), and Multimodal Naïve Bayes (MNB). Performance evaluation employs three essential metrics: Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared (R2). The empirical results unequivocally establish the superior performance of XAI-CROP. It achieves an impressively low MSE of 0.9412, indicating highly accurate crop yield predictions. Moreover, with an MAE of 0.9874, XAI-CROP consistently maintains errors below the critical threshold of 1, reinforcing its reliability. The robust R2 value of 0.94152 underscores XAI-CROP's ability to explain 94.15% of the data's variability, highlighting its interpretability and explanatory power.
MXene-based electrochemical devices applied for healthcare applications
Authors: Lorencova Lenka , Kasak Peter , Kosutova Natalia , Jerigova Monika , Noskovicova Eva , Vikartovska Alica , Barath Marek , Farkas Pavol , Tkac Jan 
Published: January 2024

AbstractThe initial part of the review provides an extensive overview about MXenes as novel and exciting 2D nanomaterials describing their basic physico-chemical features, methods of their synthesis, and possible interfacial modifications and techniques, which could be applied to the characterization of MXenes. Unique physico-chemical parameters of MXenes make them attractive for many practical applications, which are shortly discussed. Use of MXenes for healthcare applications is a hot scientific discipline which is discussed in detail. The article focuses on determination of low molecular weight analytes (metabolites), high molecular weight analytes (DNA/RNA and proteins), or even cells, exosomes, and viruses detected using electrochemical sensors and biosensors. Separate chapters are provided to show the potential of MXene-based devices for determination of cancer biomarkers and as wearable sensors and biosensors for monitoring of a wide range of human activities.
Graphical Abstract
Robotic-assisted surgery for endometrial cancer: a comparison of surgical and oncologic outcomes in patients with low and high BMI at an Indian tertiary care center
Authors: Joshi Rama , Bora Rashmi Rekha , Sonwani Tarini 
Published: January 2024

AbstractThe robotic-assisted surgery for endometrial cancer (EC) is becoming increasingly important, owing to the superior surgical outcomes. However, efficacy data from India is limited, particularly for older women who are obese. We undertook this study to compare the surgical outcomes of robotic-assisted surgery among Indian EC patients with a BMI of < 30 and ≥ 30 kg/m2. A retrospective chart review was conducted for the period of May 2016 to October 2020. Data on patient demographics, medical history, clinical characteristics, and perioperative outcomes were collected by a single senior surgeon, followed by statistical analysis. A total of 99 patients; 39 in the BMI group < 30 and 60 in the BMI group ≥ 30 kg/m2 were included in the study. The mean age of the BMI groups < 30 and ≥ 30 kg/m2 was 60.92 ± 10.43 and 58.90 ± 8.52 years respectively (P = 0.2944). The mean total operating time was slightly higher in the BMI group < 30 kg/m2 (P = 0.8552) but the difference was not statistically significant. Similarly, the mean blood loss (P = 0.2041), length of hospital stays (P = 0.6564), early (P = 0.7758) and delayed complications (P = 0.1878) were less in the BMI group < 30 kg/m2 but the difference was not statistically significant either. At a median follow-up of 22.3 months, the number of recurrences (5.13% vs 3.33%) and deaths (2.56% vs 1.67%) were more in BMI < 30 kg/m2 group. Our study suggests that obese older women predisposed to multiple medical co-morbidities and surgical complications would especially benefit from robotic-assisted technology regardless of their BMI.
Multi-response optimization of process parameters for sustainable machining of AISI 1018 steel with palm kernel oil-assisted minimum quantity lubrication technique
Authors: Kazeem R. A. , Aregbesola D. S. , Jen T.-C. , Akande I. G. , Akinlabi S. A. , Akinlabi E. T. 
Published: January 2024

AbstractIn this study, palm kernel oil, an eco-friendly oil, was extracted from its seeds and then examined for thermal and physiochemical characterization. Subsequently, the performance of palm kernel oil was evaluated in comparison with standard mineral oil during the milling of AISI 1018 steel with a double milling tool using the MQL technique. The influence of cutting conditions such as feed rate, spindle speed, and DOC on response variables (cutting temperature and surface roughness) was studied using a Taguchi L9 orthogonal array. Using the TOPSIS approach (a compensatory method that provides a more realistic form of modeling than non-compensatory methods, and allows trade-offs between criteria, where a poor result in one criterion can be voided by a good result in another criterion) an integrated structure for modeling and optimizing the process was developed. The findings showed that palm kernel oil had a 54% oil yield. In terms of machining, palm kernel oil performed much better than mineral oil lubricants. From the results obtained, palm kernel oil reduced the surface roughness by about 15.6% over mineral oil. Effective cooling in palm kernel oil led to reduced cutting zone temperatures, which in turn extended tool life and improved cutting stability. Additionally, ANOVA was used to show the parameters' significant influence on the output responses. The findings showed that feed rate and depth of cut had the greatest impact on the responses for palm kernel oil and mineral oil, respectively.