bluuebunny/crossref_metadata_2025 huggingface dataset:
High burden of human papillomavirus and premalignant cervical lesions among women starting HIV treatment in KwaZulu-Natal, South Africa
Authors: Naicker Nivashnee , Osman Farzana , Naidoo Kunthi , Bodley Nicola , Mbambo Nokuthandwa , Madlala Sibongile , Mhlongo Thobile , Mbatha Nomfundo , Maphumulo Andile , Munatsi Pedzisai , Radebe Precious , Liebenberg Lenine , Dorward Jienchi , Drain Paul K , Garrett Nigel
Published: November 2024

Objectives

Human papillomavirus (HPV) can cause cervical cancer, a leading cause of female cancer mortality in South Africa and worldwide. We assessed the burden of, and factors associated with, HPV infection using a molecular assay and cervical cytology among women living with HIV (WLHIV) in South Africa.

Methods

In this cross-sectional analysis, WLHIV initiating antiretroviral therapy (ART) underwent cervical Xpert HPV testing and liquid-based cytology. The Xpert test detects 14 high-risk (hr) HPV types reported in a pooled qualitative result. We evaluated clinical and sociodemographic variables and proportions between women testing positive and negative for hr-HPV, compared cytology with hr-HPV results and assessed associations with HPV positivity.

Results

We enrolled 260 WLHIV, median age 31.0 (IQR 26.0–38.0) years. Overall, 91.3% of women were never screened for cervical cancer previously and none received HPV vaccination. In total, 67.3% (175/260) of women tested positive for any hr-HPV type, of which HPV16 and HPV18/45 were detected in 17.3% (45/260) and 22.7% (59/260) of women, respectively, and 56.5% (147/260) tested positive for 11 other hr-types. Of 258 WLHIV, 33.3% (86/258) had abnormal cytology: high-grade squamous intraepithelial lesion (SIL) 7.8% (20/258), low-grade SIL 24.0% (62/258) and atypical squamous cells of undetermined significance 1.6% (4/258). Of these, 93.0% (80/86) tested positive for hr-HPV: 30.0% (24/80) for HPV16, 31.3% (25/80) for HPV18/45 and 92.5% (74/80) for other hr-HPV types. Having a CD4 count<200 cells/µL was associated with hr-HPV infection (adjusted prevalence ratio 2.24; 95% CI 1.69 to 2.99 (p<0.001)).

Conclusions

hr-HPV infection and cervical abnormalities are common among WLHIV starting ART, especially those with low CD4 counts, highlighting that early HIV testing and treatment initiation must be prioritised together with cervical cancer screening. The diversity of hr-HPV types suggests a need for vaccines with expanded HPV type coverage in this setting.
Perturbation of calcium homeostasis invokes eryptosis-like cell death in enucleated bone marrow stem cells
Authors: Yan Wei , Wu Ruolan , Lee Yingying , Xu Liqun , Li Xiao , Li Junwei , Deng Ronghao , Fan Xing , Wu Yilang , Zhu Haibao , Mao Aihua , Shen Jianxin , Wei Chi-ju
Published: November 2024

Enucleated cells, also known as cytoplasts, are valuable tools with a wide range of applications. However, their potential for bio-engineering is greatly restricted by the short lifespan. We postulated that the enucleation process damages the integrity of the plasma membrane and thus activates a cell death program(s). The results showed that a tiny hole was generated transiently on the plasma membrane when the nucleus was spun off, while force-gated ion channels were activated in response to the pulling by the nucleus. Influx of extracellular calcium stimulated the opening of calcium channels and the release of calcium from endoplasmic reticulum and mitochondria. Long lasting calcium transient increased protein phosphorylation and activated caspase 9 and calpain proteinase activities. Subsequently, mitochondria membrane permeability and Reactive Oxygen Species (ROS) levels were significantly elevated, which eventually led to eryptosis-like cell death. When extracellular calcium was maintained at optimal concentration, the lifespan of enucleated cells was extended; however, huge amounts of vacuoles appeared in the cytoplasm, possibly derived from enlarged autophagosomes. Inhibition of vacuolation by inhibitors of autophagy or in co-culture with primary muscle cells did not rescue cells dying from the paraptosis-like pathway. These results offer valuable insights for further investigation into the intricate mechanisms underlying enucleated cell death.
Testing germination of common milkweed (Asclepias syriaca) from different study sites in the Niagara Region
Authors: Abass Madeline , Vasseur Liette
Published: November 2024

Prior to 2014, the milkweed ( Asclepias spp.) was listed as a noxious weed, contributing to its population's decline in Canada. Considering its importance for the lifecycle of the threatened monarch butterfly ( Danaus plexippus), it has been de-listed, and efforts are in place to re-establish the populations. Seed propagation may assist in increasing the population, but germination is difficult. The objectives of this study were to (1) test the efficacy of three different germination protocols: cold stratification, mechanical scarification, and chemical treatment of ascorbic acid and (2) determine whether environmental conditions could potentially influence germination. Independent experiments were conducted in Petri dishes and in soil, from seeds collected from three sites. In both experiments, mechanical scarification was the most effective pre-germination treatment, followed by cold stratification (4 °C). Germination rates differed among sites with site 3 having the largest germination rate. The tallest seedlings with the largest number of leaves (height mean = 5.95, p < 0.05) were from site 2. Variability might be the result of maternal and environmental effects as plants were exposed to different light intensity and disturbance intensity. Future research should consider conducting genetic analysis on the influence of maternal environmental effects on seed germinability to improve propagation.
Spatial modeling and mapping of riverbank erosion through the integration of machine learning application and in situ data
Authors: Das Tinkle , Sil Briti Sundar , Ashwini Kumar
Published: November 2024

Assessing riverbank erosion is crucial for identifying hazard zones and implementing protective measures from potential disasters. Traditional in situ measurements, though effective, are often costly and time-consuming for large-scale evaluations. This study proposes a methodology integrating machine learning (ML) applications to assess riverbank erosion across an entire area using existing submerged jet erosion test (JET) measurements. In situ JETs were used to measure the bank erosion rate at each site, identify influencing factors, and randomly split datasets for training and testing. Four ML techniques, random forest (RF), decision trees, multiple linear regression, and gradient boosting regressor, are applied to establish the correlation between riverbank erosion and its influencing factors. The RF model demonstrated the highest accuracy ( R2 = 0.94, root-mean-squared error = 3.04, and Nash–Sutcliffe efficiency = 0.93) among all algorithms, and the optimal model was applied to predict and map annual erosion rates, which were validated with additional submerged JET data. The proposed methodology can effectively model and map riverbank erosion in similar settings.
Thermodynamics of AdS-Schwarzschild-like black hole in loop quantum gravity
Authors: Wang Rui-Bo , Ma Shi-Jie , You Lei , Tang Yu-Cheng , Feng Yu-Hang , Hu Xian-Ru , Deng Jian-Bo
Published: November 2024

We obtained the metric of the Schwarzschild-like black hole with loop quantum gravity (LQG) corrections in anti-de Sitter (AdS) space-time, under the assumption that the cosmological constant is decoupled in LQG. We investigated its thermodynamics, including the equation of state, criticality, heat capacity, and Gibbs free energy. The $$P-v$$

P
-
v

graph was plotted, and the critical behavior was calculated. It was found that, due to the LQG effect, the quantum-corrected Schwarzschild-AdS black hole exhibits a critical point and a critical ratio of 7/18, which differs from the Reissner–Nordstr$$\ddot{\textrm{o}}$$

o
¨

m-AdS black hole’s ratio of 3/8 (the same as that of the Van der Waals system) slightly. However, there are still some similarities compared to the Van der Waals system, such as the same critical exponents and a similar $$P-v$$

P
-
v

graph. Moreover, it is concluded that the energy-momentum tensor related to the black hole’s mass could violate the conventional first law of thermodynamics. This modified first law may violate the conservation of Gibbs free energy during the small black hole-large black hole phase transitions, potentially indicating the occurrence of the zeroth-order phase transition. The Joule–Thomson expansion was also studied. Interestingly, compared to the Schwarzschild-AdS black hole, the LQG effect leads to inversion points. The inversion curve divides the $$\left( P,T\right) $$

P
,
T

coordinate system into two regions: a heating region and a cooling region, as shown in detail by the inversion curves and isenthalpic curves. The results indicated that there is a minimum inversion mass, below which any black hole will not possess an inversion point.
Hawking radiation at the zero temperature limit
Authors: Düztaş Koray
Published: November 2024

We show that the thermal radiation derived by Hawking can be smoothly extended to the $$T=0$$

T
=
0

limit for Kerr black holes. The emission of the modes with $$\omega > m\varOmega $$

ω
>
m
Ω

comes to a halt as the surface gravity vanishes. However, Kerr black holes smoothly continue to radiate both in bosonic and fermionic modes with $$\omega < m\varOmega $$

ω
<
m
Ω

, at the $$T=0$$

T
=
0

limit. We derive explicit expressions for the absorption probabilities which imply that the highest rate of emission pertains to the modes with $$\omega =(m\varOmega )/2$$

ω
=
(
m
Ω
)
/
2

, both for bosonic and fermionic cases. At the zero limit of thermal radiation, the number of emitted particles vanishes as $$\omega \rightarrow 0$$

ω
→
0

, which strictly differentiates it from the non-thermal radiation of soft particles by extremal Kerr black holes. We also note that the thermal radiation at the zero limit, drives the black hole away from extremality in accord with the third law and the cosmic censorship conjecture.
The process $$gg\rightarrow h^0 Z^{*}$$ in the inverted hierarchy scenario of the 2HDM type-I at the LHC
Authors: Akeroyd A. G. , Alanazi S. , Moretti S.
Published: November 2024

While searching at the Large Hadron Collider (LHC) for the production and decay of the CP-odd scalar ($$A^0$$

A
0

) in the 2-Higgs-Doublet Model (2HDM) with Natural Flavour Conservation (NFC) via the channels $$gg\rightarrow A^0$$

g
g
→

A
0

(through one-loop triangle diagrams) and $$A^0\rightarrow h^0 Z^*$$

A
0

→

h
0

Z
∗

(with $$m_{h^0} =125$$

m

h
0

=
125

GeV or $$m_{h^0} < 125$$

m

h
0

<
125

GeV, with Z off-shell), respectively, a factorisation of the two processes is normally performed, with the $$A^0$$

A
0

state being on-shell. While this approach is gauge-invariant, it is not capturing the presence of either of the following two channels: $$gg\rightarrow Z^*\rightarrow h^0Z^*$$

g
g
→

Z
∗

→

h
0

Z
∗

(through one-loop triangle diagrams) or $$gg\rightarrow h^0Z^*$$

g
g
→

h
0

Z
∗

(through one-loop box diagrams). As the resolution of the $$A^0$$

A
0

mass cannot be infinitely precise, we affirm that all such contributions should be computed simultaneously, whichever the $$h^0$$

h
0

($$Z^{*}$$

Z

∗

) decay(splitting) products, thereby including all possible interferences amongst themselves. The cross section of the ensuing complete process is significantly different from that obtained in the factorisation case, being of the order up to ten percent in either direction at the integrated level and larger (including changes in the shape of kinematical observables) at the differential level. We thus suggest that the complete calculation ought to be performed while searching for $$A^0$$

A
0

in this channel. We illustrate this need for the case of a 2HDM of Type-I in the inverted hierarchy scenario with $$m_{h^0}<125$$

m

h
0

<
125

GeV.
An Audio Encryption Algorithm Based on 2D Chaotic Map and Dynamic S-Box
Authors: Wang Qiankun , Wei Qiao , Jie Sun
Published: November 2024

With the development of Internet, the security of information transmission has drawn widespread attention. In order to enhance the security of audio data communication, we propose an audio encryption algorithm using a two-dimensional chaotic map and dynamic S-box. To address the drawbacks of single control parameters and small chaotic space in one-dimensional chaotic map, we integrate Sine map and Fuchunao map to generate a new two-dimensional chaotic map 2D-SIFN. This map has two control parameters and a larger chaotic space. Then we generate chaotic sequences using the 2D-SIFN, construct dynamic S-boxes using these sequences for permutation operations, and finally apply chaotic sequences for diffusion operations to confuse audio data. The simulation experiment results show that the proposed algorithm performs excellently in metrics such as Number of Sample Change Rate (NSCR) and Normalized Cross-correlation (NCC) analysis, proving the feasibility of applying S-boxes to audio data encryption algorithms and proposing a feasible new approach in the field of secure communication.
Free-silicic Acid Impedimetric Quantification of Orthophosphate in Seawater
Authors: Altahan Mahmoud Fatehy , Beltagi Amr Mohamed , Abdel-Azzem Magdi , El-Attar Mona A.
Published: November 2024

In this study, we present a modified electrode, specifically the molybdate/carbon paste electrode (CPE), for the determination of orthophosphate in seawater. The molybdate/CPE modified electrode was successfully utilized for electrochemical impedance spectroscopy of orthophosphate in a highly acidic medium with a pH of 0.8. Within the concentration range of 0.01 to 2 μM, the molybdate/CPE electrode demonstrated a very low limit of determination of 2.8 × 10−6 μM. To assess precision, concentrations of 0.02 and 0.1 μM were chosen, resulting in relative standard deviations of 3.93% and 4.11%, respectively. One potential interfering ion, silicic acid, was investigated for its influence on the reaction between molybdate ions and phosphate. Surprisingly, the presence of silicic acid did not affect the linearity of phosphate determination. Additionally, the repeatability of phosphate determination remained largely unaffected by the addition of different concentrations of silicic acid. This was confirmed through scanning electron microscopy and energy dispersive X-ray analysis, which revealed no detectable silicon atoms on the electrode surface during the phosphate determination in the presence of silicic acid. Furthermore, a comparison was made between our method and the classical spectrophotometric assay. Our method exhibited good recovery values, further validating its effectiveness in orthophosphate determination.
Fusion State-of-Health Estimation of Lithium-Ion Batteries Based on Improved XGBoost Algorithm and Adaptive Kalman Filter
Authors: Tan Piqiang , Zhao Luhao , Yang Xiaomei , Yang Aoji , Liu Xiaoyang
Published: November 2024

Accurately predicting the state-of-health of lithium-ion batteries (LIBs) is of paramount significance for safety and stability of battery systems. This paper introduces a fusion model, which integrates the characteristic of data-driven model and equivalent circuit model to enhance precision. The first step is to preprocess data, including extracting health features, correlation screening, and compressing data. Subsequently, the hyperparameters of XGBoost algorithm are optimized using a weighted artificial bee colony algorithm, resulting in an improved XGBoost (IXGB) data-driven model. Finally, the observed values from the data-driven model and the prior values based on the equivalent circuit model are combined through adaptive Kalman filter (AKF), developing an improved XGBoost and adaptive Kalman filter (IXGB-AKF) fusion model, which makes the most of historical experience and the current state of LIBs. Validation is conducted using publicly available NASA Li-ion Battery Aging Datasets, with different datasets under various operating conditions, including different battery cells, different discharge depths and rates of LIBs. The resulting root mean square error values of the former three operating conditions are 1.834%, 2.570%, and 3.456%, respectively. The results indicate that the IXGB-AKF fusion model exhibits good accuracy and robustness under different operating conditions.
State-of-Charge Estimation Method for Lithium Batteries Based on Adaptive Fusion Factors
Authors: Ling Liuyi , Zhang Hu , Shi Yuting , Zhang Ting
Published: November 2024

Accurate estimation of the state of charge is significant for battery safety. To improve robustness, computational efficiency, and noise stability in state of charge estimation for lithium batteries, we propose a method based on adaptive fusion factors. Based on the methodological properties of the open circuit voltage method and the ampere hour method, we designed a fusion factor function to combine the strong correction ability of the open circuit voltage method with the smoothing advantages of the ampere hour method. The proposed method utilizes an adaptive forgetting factor recursive least squares approach to address the limitation of the traditional open circuit voltage method, which cannot estimate state of charge online. It corrects the battery capacity using historical data to achieve accurate state of charge estimation. The effectiveness and robustness of the proposed method are validated using self-tests and a public dataset. The results demonstrate that the mean absolute error in state of charge estimation is approximately 1%, even when the initial state of charge value deviates from the actual value and the dataset contains noise.
Review—Advances in Nanomaterial-Based Biosensors for Heavy Metal Detection and Remediation in Soil
Authors: Mahajan Priyanka , Khanna Virat , Singh Amanpreet , Singh Kamaljit
Published: November 2024

Soil degradation due to the accumulation of heavy metal ions has impacted the lives of living beings worldwide. Indispensable use of heavy metals (HMs) in large-scale industries, biomedical sectors and agriculture is a major contributing factor, besides natural dissipation. Conventional techniques for the removal of HMs including stabilization, vitrification, encapsulation, phytoremediation etc come up with plenty of drawbacks. Nanotechnology is playing a critical role in different sectors for achieving sustainability. Hence, integrating nanotechnology with other advanced techniques viz., biosensing seems to be the greatest solution to resolving the environmental crises imposed by HMs. Nanomaterials (NMs), fabricated through nanotechnology, are conferred with qualities such as high surface-to-volume ratio, superior electrochemical properties, exorbitant conductivity, bio-compatibility and unique optical attributes. A large number of studies have been discussed emphasizing the successful implication of NMs-based biosensors in the detection of heavy metals from the environment, particularly soil components and strategies for their remediation. Moreover, future outlooks involve more successful and efficient ways of developing nano-biosensors for HM detection, elevating agricultural output in HM-free soils by developing smart sensors and combining the Internet of Things with agriculture.
Understanding the Interactions of Multiple Pits Under Freely Corroding Conditions
Authors: Katona R. M. , Roop M. L. , Venkatraman A. , Montes de Oca Zapiain D. , Schaller R. F.
Published: November 2024

The interactions of two propagating pits on a single cathode surface were evaluated across variations in chloride concentration, water layer (WL), pit sizes, separation distance (x2), and cathode size (LCath) under freely corroding conditions using Finite Element Methods (FEM). Calculated FEM current was utilized to predict stability based on the Galvele pit stability product. FEM predictions were utilized to train a neural network machine learning model for rapid stability predictions. Pit one is in the center of a circular cathode while pit two moves radially from the center pit. With two pits, the overall current in each pit is decreased with respect to a single pit, however, the total current is increased. Increasing WL and LCath generally increased overall current in each pit and increased predicted maximum pit sizes. Increasing x2 decreased current in pit two due to less cathode being available to support dissolution in proximity to pit two. Increasing chloride concentration from 0.6 to 3 M NaCl increased current, while increasing from 3 to 5.3 M NaCl decreased current. An overall increase in predicted pit size with increase in chloride concentration is predicted. A machine learning model was created to predict current and maximum pit size and captured underlying physics and predicted stability across the multidimensional parameter space.
Dielectric, Photoluminescence, Thermal and Mechanical Properties of CuO Nanoparticles Filled Polyvinyl Alcohol/Polyvinyl Pyrrolidone Blends for High Frequency Device Applications
Authors: Rajesh K , Crasta Vincent , Bairy Raghavendra , Rajesh Kumar P C
Published: November 2024

This study involves synthesizing blends of polyvinyl alcohol (PVA) and polyvinylpyrrolidone (PVP) in 1:1 ratio using solution casting technique. The blends were then mixed with different concentrations of copper oxide (CuO) nanofiller, ranging from 0 to 16 wt% (0, 2, 4, 8, 12, and 16 wt%). Fourier transform infrared spectra and x-ray diffraction studies provide evidence of the structural modifications occurring within nanocomposites. Fluorescence spectroscopy revealed that the highest photoluminescence intensity occurred at a concentration of 8 wt% CuO in the blend which specifies that this particular concentration of nanofillers had a substantial impact on luminescence properties of the material. The morphology and texture of film’s surface was examined by means of atomic force microscopy. The dielectric plot demonstrated that dielectric constant of the film increased up to a CuO filler concentration of 12 wt%. This indicates that there is an optimal concentration of CuO nanofillers that enhances dielectric properties of the material. The mechanical studies carried out using universal Testing Machine reveals enhancement in the mechanical properties after the addition of nanofillers. The promising characteristics of these nanocomposites are suitable for high-frequency device applications and optical sensing applications.
The Antiviral Effect of Two Important Base Analogs, Ribavirin and 5‐Fluoruracil, on Infectious Pancreatic Necrosis Virus
Authors: Çiçek Yıldız Yasemin , Yazıcı Zafer
Published: November 2024

Infectious pancreatic necrosis (IPN) has highly contagious disease and an important viral disease‐causing economic loss for fish farming, which has developed in recent years. The virus is the first fish virus isolated in vitro. Horizontal and vertical transmission plays an important role in the spread of the virus. In addition, the resistance of the virus to environmental conditions makes it difficult to control the virus. Therefore, it is important to develop vaccines and analyze the effectivity of antivirals for the prevention and control of infectious pancreatic necrosis virus (IPNV) infection. This study investigated the antiviral effect of two different mutagens, ribavirin (RBV) and 5‐fluorouracil (5‐FU), on IPNV, and their mutation‐inducing potential on the susceptible cell line Epithelioma papulosum cyprini (EPC), in vitro. For this purpose, cytotoxic doses of RBV and 5‐FU were first investigated and were found to be 50 and 100 µM/mL, respectively. Serial passages of IPNV were then performed, both with and without drug suppression. At the end of each passage, confirmation was performed by real‐time transcriptase polymerase chain reaction (RT‐PCR). Serial passages were checked for viral load using quantitative RT‐PCR (qRT‐PCR). The viral copy number of the RBV‐suppressed virus decreased from 1.18 × 105 copies/µL for the 1st passage to 1.49 × 102 copies/µL at the end of the 5th passage. The viral copy number of the 5‐FU‐suppressed virus decreased gradually with each passage, from 3.84 × 103 copies/µL for the 1st passage to 1.78 × 102 copies/µL at the end of the 5th passage, with the exception of the 2nd passage, where the viral load increased. Passages 1st and 5th of both the RBV‐ and 5‐FU‐suppressed virus, and the non‐drug‐suppressed virus, were checked by partial sequence, but mutations in VP2 were not observed. In conclusion, in this study, we obtained data on the antiviral activity of two mutagens on IPNV.
Supplementary Figure S9 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S9
Table S1, S2, S3 from Targeting Galectin-1 Overcomes Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma
Authors: Zhou Liting , Tian Jie , Wang Keke , Ma Yijie , Chen Xiaojie , Luo Hui , Lu Bingbing , Wang Nan , Wang Penglei , Liu Xuejiao , Zhao Ran , Zhao Simin , Wang Jiutao , Nie Wenna , Ge Hong , Liu Wenting , Gu Tingxuan , Liu Kangdong , Lee Mee-Hyun , Li Xiang , Dong Zigang
Published: November 2024

Table S1, S2, S3
Supplementary Figure S7 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S7
Figure S4+legend from Targeting Galectin-1 Overcomes Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma
Authors: Zhou Liting , Tian Jie , Wang Keke , Ma Yijie , Chen Xiaojie , Luo Hui , Lu Bingbing , Wang Nan , Wang Penglei , Liu Xuejiao , Zhao Ran , Zhao Simin , Wang Jiutao , Nie Wenna , Ge Hong , Liu Wenting , Gu Tingxuan , Liu Kangdong , Lee Mee-Hyun , Li Xiang , Dong Zigang
Published: November 2024

Figure S4+legend
Figure S3+legend from Targeting Galectin-1 Overcomes Paclitaxel Resistance in Esophageal Squamous Cell Carcinoma
Authors: Zhou Liting , Tian Jie , Wang Keke , Ma Yijie , Chen Xiaojie , Luo Hui , Lu Bingbing , Wang Nan , Wang Penglei , Liu Xuejiao , Zhao Ran , Zhao Simin , Wang Jiutao , Nie Wenna , Ge Hong , Liu Wenting , Gu Tingxuan , Liu Kangdong , Lee Mee-Hyun , Li Xiang , Dong Zigang
Published: November 2024

Figure S3+legend
Table S3 HMOX1-hi gene expression from PTEN Loss Shapes Macrophage Dynamics in High-Grade Serous Ovarian Carcinoma
Authors: Spear Sarah , Le Saux Olivia , Mirza Hasan B. , Iyer Nayana , Tyson Katie , Grundland Freile Fabio , Walton Josephine B. , Woodman Chloé , Jarvis Sheba , Ennis Darren P. , Aguirre Hernandez Carmen , Xu Yuewei , Spiliopoulou Pavlina , Brenton James D. , Costa-Pereira Ana P. , Cook David P. , Vanderhyden Barbara C. , Keun Hector C. , Triantafyllou Evangelos , Arnold James N. , McNeish Iain A.
Published: November 2024

Up- and down-regulated differentially expressed genes in HMOX1-hi human macrophages
Supplementary Figure S10 from Galectin-9 Mediates the Functions of Microglia in the Hypoxic Brain Tumor Microenvironment
Authors: Lee Chanju , Yu Dahee , Kim Hyung-Seok , Kim Ki Sun , Chang Chi Young , Yoon Hee Jung , Won Su Bin , Kim Dae Yeon , Goh Eun Ah , Lee Yong Sun , Park Jong-Bae , Kim Sang Soo , Park Eun Jung
Published: November 2024

Supplementary Fig. S10
Supplementary Table 2 from Low–Molecular Weight Cyclin E Confers a Vulnerability to PKMYT1 Inhibition in Triple-Negative Breast Cancer
Authors: Li Mi , Lulla Amriti R. , Wang Yan , Tsavaschidis Spyros , Wang Fuchenchu , Karakas Cansu , Nguyen Tuyen D.T. , Bui Tuyen N. , Pina Marc A. , Chen Mei-Kuang , Mastoraki Sofia , Multani Asha S. , Fowlkes Natalie W. , Sahin Aysegul , Marshall C. Gary , Hunt Kelly K. , Keyomarsi Khandan
Published: November 2024

Immune cell subset annotations and antibodies used for analysis.
Supplementary Table 1 from Low–Molecular Weight Cyclin E Confers a Vulnerability to PKMYT1 Inhibition in Triple-Negative Breast Cancer
Authors: Li Mi , Lulla Amriti R. , Wang Yan , Tsavaschidis Spyros , Wang Fuchenchu , Karakas Cansu , Nguyen Tuyen D.T. , Bui Tuyen N. , Pina Marc A. , Chen Mei-Kuang , Mastoraki Sofia , Multani Asha S. , Fowlkes Natalie W. , Sahin Aysegul , Marshall C. Gary , Hunt Kelly K. , Keyomarsi Khandan
Published: November 2024

Clinical and pathological characteristics of the 53 TNBC
Figure S4 from Live-Cell Invasive Phenotyping Uncovers ALK2 as a Therapeutic Target in LKB1-Mutant Lung Cancer
Authors: Koo Junghui , Seong Chang-Soo , Parker Rebecca E. , Herrera Amy , Dwivedi Bhakti , Arthur Robert A. , Dinasarapu Ashok Reddy , Johnston Henry Richard , Claussen Henry , Tucker-Burden Carol , Ramalingam Suresh S. , Fu Haian , Zhou Wei , Marcus Adam I. , Gilbert-Ross Melissa
Published: November 2024

Dose response in 2D and 3D
Supplementary Figure 5 from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

PYGB promotes CCA migration, invasion and metastasis.
Supplementary Figure 3 from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

Hypoxia-induced enhancement of PYGB enzyme activity is dependent on the kinase function of PGK1.
Figure S2 from The Neurodevelopmental Protein POGZ Suppresses Metastasis in Triple-Negative Breast Cancer by Attenuating TGFβ Signaling
Authors: Heath John , Mirabelli Caitlynn , Annis Matthew G. , Sabourin Valerie , Hebert Steven , Findlay Steven , Kim HaEun , Witcher Michael , Kleinman Claudia L. , Siegel Peter M. , Orthwein Alexandre , Ursini-Siegel Josie
Published: November 2024

Supplemental Figure 2 with legend
Supplementary Tables from DAZAP1 Phase Separation Regulates Mitochondrial Metabolism to Facilitate Invasion and Metastasis of Oral Squamous Cell Carcinoma
Authors: Zhang Jiayi , Ni Zihui , Zhang Yu , Guo Yan , Zhai Rundong , Wang Mengqi , Gong Zizhen , Wang Mengyao , Zeng Fanrui , Gu Ziyue , Chen Qianming , Liu Laikui , Wang Zhiyong , Zhu Weiwen
Published: November 2024

Supplementary Table1-4
Supplementary Figure 1 from Hypoxia Stimulates PYGB Enzymatic Activity to Promote Glycogen Metabolism and Cholangiocarcinoma Progression
Authors: Pan Yani , Zhou Yue , Shen Yonghua , Xu Lei , Liu Hongwen , Zhang Nannan , Huang Tianlu , Meng Kui , Liu Yu , Wang Lishan , Bai Ge , Chen Qi , Zhu Yun , Zou Xiaoping , Wang Siliang , Wang Zhangding , Wang Lei
Published: November 2024

PYGB is highly expressed in malignancy/cholangiocytes and is associated with glycogenolysis.
Supplementary Figure 9 from DAZAP1 Phase Separation Regulates Mitochondrial Metabolism to Facilitate Invasion and Metastasis of Oral Squamous Cell Carcinoma
Authors: Zhang Jiayi , Ni Zihui , Zhang Yu , Guo Yan , Zhai Rundong , Wang Mengqi , Gong Zizhen , Wang Mengyao , Zeng Fanrui , Gu Ziyue , Chen Qianming , Liu Laikui , Wang Zhiyong , Zhu Weiwen
Published: November 2024

Targeting DAZAP1 suppresses tumor growth and metastasis in OSCC.
Supplementary Figure 6 from DAZAP1 Phase Separation Regulates Mitochondrial Metabolism to Facilitate Invasion and Metastasis of Oral Squamous Cell Carcinoma
Authors: Zhang Jiayi , Ni Zihui , Zhang Yu , Guo Yan , Zhai Rundong , Wang Mengqi , Gong Zizhen , Wang Mengyao , Zeng Fanrui , Gu Ziyue , Chen Qianming , Liu Laikui , Wang Zhiyong , Zhu Weiwen
Published: November 2024

CYTOR promotes DAZAP1 nuclear translocation and phase separation.
Supplementary Figure 3 from DAZAP1 Phase Separation Regulates Mitochondrial Metabolism to Facilitate Invasion and Metastasis of Oral Squamous Cell Carcinoma
Authors: Zhang Jiayi , Ni Zihui , Zhang Yu , Guo Yan , Zhai Rundong , Wang Mengqi , Gong Zizhen , Wang Mengyao , Zeng Fanrui , Gu Ziyue , Chen Qianming , Liu Laikui , Wang Zhiyong , Zhu Weiwen
Published: November 2024

Alternative splicing of COX16 in OSCC cells.
Supplementary Figure S7 from A Dual-Payload Antibody–Drug Conjugate Targeting CD276/B7-H3 Elicits Cytotoxicity and Immune Activation in Triple-Negative Breast Cancer
Authors: Zhou Zhuoxin “Zora” , Si Yingnan , Zhang Jiashuai , Chen Kai , George Ashley , Kim Seulhee , Zhou Lufang , Liu Xiaoguang “Margaret”
Published: November 2024

Supplementary Figure S7
Supplementary Figure S4 from A Dual-Payload Antibody–Drug Conjugate Targeting CD276/B7-H3 Elicits Cytotoxicity and Immune Activation in Triple-Negative Breast Cancer
Authors: Zhou Zhuoxin “Zora” , Si Yingnan , Zhang Jiashuai , Chen Kai , George Ashley , Kim Seulhee , Zhou Lufang , Liu Xiaoguang “Margaret”
Published: November 2024

Supplementary Figure S4
Clinical Pharmacology of Cytokine Release Syndrome with T-Cell–Engaging Bispecific Antibodies: Current Insights and Drug Development Strategies
Authors: Radtke Kendra K. , Bender Brendan C. , Li Zao , Turner David C. , Roy Sumedha , Belousov Anton , Li Chi-Chung
Published: November 2024

Cytokine release syndrome (CRS) is a common acute toxicity in T-cell therapies, including T-cell–engaging bispecific antibodies (T-BiSp). Effective CRS management and prevention are crucial in T-BiSp development. Required hospitalization for seven of the nine approved T-BiSp and the need for clinical intervention in severe cases highlight the importance of mitigation strategies to reduce health care burden and improve patient outcomes. In this review, we discuss the emerging evidence on CRS mitigation, management, and prediction. We cover different strategies for dose optimization, current and emerging (pre) treatment strategies, quantitative pharmacology tools used during drug development, and biomarkers and predictive factors. Insights are gleaned on step-up dosing and formulation effects on CRS and CRS relationships with cytokine dynamics and drug levels gathered through a review of T-BiSp licensing applications and emerging data from conferences and publications.
Table 2 from Association of Race and Ethnicity with Genomic Testing at a Comprehensive Cancer Center in North Carolina
Authors: Meernik Clare , Wang Frances , Raveendran Yadurshini , Green Michelle F. , Check Devon K. , Bosworth Hayden B. , Sutton Linda M. , Strickler John H. , Akinyemiju Tomi F.
Published: November 2024

Percentage of patients who used genomic testing by cancer type, race/ethnicity, and type of test
Supplementary Table 1 from Association of Race and Ethnicity with Genomic Testing at a Comprehensive Cancer Center in North Carolina
Authors: Meernik Clare , Wang Frances , Raveendran Yadurshini , Green Michelle F. , Check Devon K. , Bosworth Hayden B. , Sutton Linda M. , Strickler John H. , Akinyemiju Tomi F.
Published: November 2024

Supplementary Tables S1a-S1d show estimates for the association between any genomic testing and race and ethnicity among non-Hispanic Black and non-Hispanic White patients by cancer type
The Influence of X Chromosome Parent-of-Origin on Glycemia in Individuals with Turner Syndrome
Authors: Pinnaro Catherina T. , Zimmerman Blake Irvin , Ryckman Kelli K. , Darbro Benjamin W. , Norris Andrew W.
Published: November 2024

Introduction: The cause of increased diabetes mellitus (DM) risk in individuals with Turner syndrome (TS) is poorly understood. Parent-of-origin effects related to whether the maternal or paternal X chromosome (Xchr) remains intact have been found for several TS phenotypes, including hypercholesterolemia. Therefore, Xchr parent-of-origin may impact DM risk in TS. The aim of this study was to determine whether Xchr parent-of-origin affects glycaemia, as measured by oral glucose tolerance test (OGTT), in TS. Methods: A total of 81 individuals with 45,X karyotype from the TS: Genotype Phenotype study had Xchr parent-of-origin assessment and completed a 3-h OGTT. Parallel-slopes multiple linear regression modeling was used to test whether Xchr parent-of-origin, age, and/or body mass index (BMI) significantly predicted incremental area under the glucose curve (iAUC). A second analysis included 62 additional individuals with 45,X mosaicism. Results: All three factors predicted iAUC glucose in the 81 individuals with 45,X karyotype (age: β = 0.36, p = 0.0004; BMI: β = 0.33, p = 0.001; Xchr parent-of-origin: β = 0.21; p = 0.01). The overall model remained statistically significant when including individuals with 45,X mosaicism, but Xchr parent-of-origin was no longer significant. Conclusions: Maternal Xchr monosomy predicts higher glucose concentration than paternal Xchr monosomy in response to oral glucose in 45,X individuals. This effect is obscured when including individuals who are mosaic, potentially due to the presence of both parent Xchrs in the non-45,X cell line.
A novel global maximum power point tracking based on flamingo search algorithm for photovoltaic systems
Authors: Draoui Abdelghani , Saidi Ahmed , Allaoua Boumediene , Bourezg Abdrabbi
Published: November 2024

Due to the high dependency of photovoltaic (PV) solar cell’s output on solar irradiance and, the ambient temperature. Maximum power point tracking (MPPT) algorithms are used extensively to operate the system at its full potentials. Moreover, being installed in outdoor spaces, PV modules are inevitably subjected to partial shading conditions, where different parts of the system are receiving different amounts of solar irradiance. In case of occurrence of partial shading conditions on a PV module that is equipped with bypass diodes, the power-voltage (P-V) curve will have multiple peaks. This multi-peak curve requires using an advanced algorithm which track the global maximum power point (GMPP) instead of being deceived and trapped in a local maximum power point. In this paper, the flamingo search algorithm (FSA) is adapted for GMPP tracking for a PV system under partial shading conditions. The FSA algorithm fetch for the GMPP by reading the PV panel power and setting accordingly the duty cycle of the buck converter. To investigate model validity, simulation is performed using the MATLAB/Simulink platform and results demonstrate good tracking performance and fast response that prove the robustness of the system against rapid variations in solar irradiance levels.
Integration of web scraping, fine-tuning, and data enrichment in a continuous monitoring context via large language model operations
Authors: Bodor Anas , Hnida Meriem , Daoudi Najima
Published: November 2024

This paper presents and discusses a framework that leverages large-scale language models (LLMs) for data enrichment and continuous monitoring emphasizing its essential role in optimizing the performance of deployed models. It introduces a comprehensive large language model operations (LLMOps) methodology based on continuous monitoring and continuous improvement of the data, the primary determinant of the model, in order to optimize the prediction of a given phenomenon. To this end, first we examine the use of real-time web scraping using tools such as Kafka and Spark Streaming for data acquisition and processing. In addition, we explore the integration of LLMOps for complete lifecycle management of machine learning models. Focusing on continuous monitoring and improvement, we highlight the importance of this approach for ensuring optimal performance of deployed models based on data and machine learning (ML) model monitoring. We also illustrate this methodology through a case study based on real data from several real estate listing sites, demonstrating how MLflow can be integrated into an LLMOps pipeline to guarantee complete development traceability, proactive detection of performance degradations and effective model lifecycle management.
Airport infrastructure and runway precision aids for forecasting flight arrival delays
Authors: Alla Hajar , Balouki Youssef
Published: November 2024

Recent research has concentrated on using machine learning approaches to forecast flight delays. The majority of prior prediction algorithms were based on simple and standard attributes collected from the database from which the data were pulled. This article is the first attempt to propose novel features linked to airport capacity and infrastructure. The total runways, the total runway intersections, the longest runway length, the shortest runway length, the runway precision rate, the total terminals, and the total gates were all examined. In this paper, we suggest an optimized multilayer perceptron to predict flight arrival retards implementing data for domestic flights operated in United States airports. We employed data normalization, sampling techniques, and hyper-parameter tuning to strengthen the reliability of the suggested model. The experimental findings demonstrated that data normalization, sampling approaches, and Bayesian optimization produced the most accurate model with 92.49% accuracy. The achievements of the study were compared to other benchmark research from literature. The time complexity for the proposed model was computed and presented at the end of the investigation.
Context-aware self-powered intelligent soil monitoring system for precise agriculture
Authors: Kee Keh-Kim , Rashidi Ramli , Kee Owen Kwong-Hong , Han Andrew Ballang , Patrick Isaiah Zunduvan , Bawen Loreena Michelle
Published: November 2024

The agricultural sector is transforming with advanced technologies such as internet of things (IoT), cloud computing, and machine learning, for increased productivity and sustainability. However, fixed sensor deployments struggle to capture the dynamic and heterogeneous soil properties with irregularities in farming operations, and negatively impacting crop performance and resource utilization. This paper presents a novel context-aware, self-powered intelligent soil monitoring system (ISMS) applied in precision agriculture. By integrating advanced sensors, energy harvesting, real-time data analytics, and context-aware decision support, ISMS provides real-time context insights into soil, energy, and weather conditions. The informed decisions are enabled and tailored to their specific agricultural environment. The system utilizes a multi-parameter soil sensor, photovoltaic (PV) panel, and intelligent context-aware analytics for a sustainable, cost-effective solution powered by solar energy and OpenWeather application program interface (API) for weather data. Field tests over two months demonstrated the system's effectiveness, together with continuous operation without grid power. This research highlights ISMS's potential in enhancing soil nutrient management and decision-making and offering significant economic and environmental benefits for modern agriculture, especially in remote areas.
Implementing cloud computing in drug discovery and telemedicine for quantitative structure-activity relationship analysis
Authors: Ramapraba Palayanoor Seethapathy , Babu Bellam Ravindra , Paul Nallathampi Rajamani Rejin , Sharmila Varadan , Babu Venkatachalam Ramesh , Ramya Raman , Murugan Subbiah
Published: November 2024

This work aims to use cutting-edge machine learning methods to improve quantitative structure-activity relationship (QSAR) analysis, which is used in drug development and telemedicine. The major goal is to examine the performance of several predictive modeling approaches, including random forest, deep learning-based QSAR models, and support vector machines (SVM). It investigates the potential of feature selection techniques developed in chemoinformatics for enhancing model accuracy. The innovative aspect is using cloud computing resources to strengthen computational skills, allowing for managing massive amounts of chemical information. This strategy produces accurate and generalizable QSAR models. By using the cloud's scalability and constant availability, remote healthcare apps have a workable answer. The goal is to show how these methods may improve telemedicine and the drug development process. Utilizing cloud computing equips researchers with a flexible set of tools for precise and timely QSAR analysis, speeding up the discovery of bioactive chemicals for therapeutic use. This new method fits well with the dynamic nature of pharmaceutical study and has the potential to transform the way drugs are developed and delivered to patients via telemedicine.
Secured and cloud-based electronic health records by homomorphic encryption algorithm
Authors: Annapurna Bala , Geetha Gaddam , Madhiraju Priyanka , Kalaiselvi Subbarayan , Sushith Mishmala , Ramadevi Rathinasabapathy , Pandey Pramod
Published: November 2024

This uses homomorphic encryption in cloud-based platforms to improve electronic health records (EHR) security and accessibility. Protecting sensitive medical data while enabling data processing and analysis is the main goal. The study examines how homomorphic encryption protects EHR data privacy and integrity. Its main purpose is to reduce risks of unauthorized access and data breaches to build trust between healthcare professionals and patients in digital healthcare. The research uses homomorphic encryption to safeguard cloud EHR storage and transmission. Results will highlight the algorithm's influence on data security and computing efficiency, revealing its potential use in healthcare to protect patient privacy and meet regulatory requirements. Results from dataset of patient health metrics show in the 1st instance sample data for 5 instances with ages between 57 to 88, blood pressure (BP) values from 33 to 85, glucose values from 5 to 99, and heart rate values from 24 to 88. In another study of 5 patients, cholesterol levels ranged from 10 to 80 mg/dL, body mass index (BMI) from 10 to 96 kg/m², smoking status from 14 to 79, and medication adherence from 6 to 78%.
Predictive modeling for healthcare worker well-being with cloud computing and machine learning for stress management
Authors: Sudha Muthukathan Rajendran , Malini Gnanamuthu Bai Hema , Sankar Rangasamy , Mythily Murugaaboopathy , Kumaresh Piskala Sathiyamurthy , Varadarajan Mageshkumar Naarayanasamy , Sujatha Shanmugam
Published: November 2024

This paper provides a new method for stress management-focused predictive modeling of healthcare workers' well-being via cloud computing and machine learning. The need for proactive measures to track and assist healthcare workers' mental health is highlighted by the rising expectations placed on them. Using various data sources, our system compiles information from surveys, social media, electronic health records, and wearable devices into a single location for analysis. Predictive models that predict healthcare workers' stress levels and well-being are developed using gradient boosting, a strong machine learning (ML) technique. This work is suitable for gradient boosting due to its resilience to overfitting and capacity to process many kinds of data. Healthcare organizations may improve the health of their employees by using our technology to detect stress patterns and identify the causes of that stress. It can use specific treatments and support systems to alleviate that stress. Widespread adoption and real-time monitoring are made possible by the scalability, flexibility, and accessibility of cloud computing infrastructure. This method shows promise in the direction of proactive solutions driven by data for controlling the stress of healthcare workers and improving their general well-being.