bluuebunny/crossref_metadata_2025 huggingface dataset:
Identification of therapeutic targets and prognostic biomarkers in the Siglec family of genes in tumor immune microenvironment of sarcoma
Authors: Qi Lili , Jiang Kuiying , Zhao Fei-fei , Ren Ping , Wang Ling
Published: January 2024

Sarcomas (SARC) are a highly heterogeneous cancer type that is prone to recurrence and metastasis. Numerous studies have confirmed that Siglecs are involved in immune signaling and play a key role in regulating immune responses in inflammatory diseases and various cancers. However, studies that systematically explore the therapeutic and prognostic value of Siglecs in SARC patients are very limited. The online databases GEPIA, UALCAN, TIMER, The Kaplan–Meier Plotter, GeneMANIA, cBioPortal, and STING were used in this study. IHC staining was performed on the collected patient tissues, and clinical data were statistically analyzed. The transcript levels of most Siglec family members showed a high expression pattern in SARC. Compared with normal tissues, Siglec-5, Siglec-10, and Siglec-12 were abnormally highly expressed in tumor tissues. Importantly, Siglec-15 was significantly associated with poor prognosis. Functional enrichment analysis showed that the Siglec family was mainly enriched in hematopoietic cell lineages. The genes associated with molecular mutations in the Siglec family were mainly TP53 and MUC16, among which Siglec-2 and Siglec-15 were significantly associated with the survival of patients. The expression levels of all Siglec family members were significantly correlated with various types of immune cells (B cells, CD8 + T cells, CD4 + T cells, macrophages, neutrophils and dendritic cells). Furthermore, a significant correlation was found between the somatic copy number changes of all Siglec molecules and the abundance of immune infiltrates. Our study paints a promising vision for the development of immunotherapy drugs and the construction of prognostic stratification models by investigating the therapeutic and prognostic potential of the Siglec family for SARC.
SPIRAL MRI for in vivo lithium-7 imaging: a feasibility study in mice after oral lithium treatment
Authors: Memhave Tor Rasmus , Moussavi Amir , Boretius Susann
Published: January 2024

Lithium has been the frontline treatment for bipolar disorder for over 60 years. However, its mode of action and distribution in the brain is still incompletely understood. The primary isotope of lithium, lithium-7 (7Li), is a magnetic resonance (MR) active, spin-3/2 nucleus. However, its low MR sensitivity and the small brain size of mice make 7Li MR imaging (MRI) difficult in preclinical research. We tested four MRI sequences (FLASH, RARE, bSSFP, and SPIRAL) on lithium-containing phantoms, and bSSFP and SPIRAL on orally lithium-treated adult C57BL/6 mice. 7Li MR spectroscopy was acquired weekly at 9.4T to monitor the lithium uptake. The in vivo T1 relaxation time of 7Li was estimated in four mice. 4-h SPIRAL 7Li MRI was acquired in ten mice at a resolution of 2 × 2 × 3 mm3. SPIRAL MRI provided the highest signal-to-noise ratio (SNR) per unit acquisition time and the best image quality. We observed a non-homogeneous distribution of lithium in the mouse brain, with the highest concentrations in the cortex, ventricles, and basal brain regions. Almost no lithium signal was detected in the olfactory bulb and the cerebellum. We showed that in vivo 7Li MRI in mice is feasible, although with limited spatial resolution and SNR.
Proteomics and phosphoproteomics to study Tuina reverses capsule fibrosis in frozen shoulder: a research report based on rats
Authors: Qiao Yingjie , Wang Jianmin , Zheng Lijun , Yang Yanhong , Li Huadong , Li Muzhen , Zhang Shidong , Wang Hongyi , Zhang Tiantian
Published: January 2024

Frozen shoulder (FS) is a common disorder often treated with Tuina, but the mechanisms involved remain unclear. We employed proteomics and phosphoproteomics to investigate the mechanisms associated with the treatment of capsule fibrosis in FS rats. We used a method composed of three weeks of cast immobilization to establish a model of FS. We then administered Tuina once daily for 14 days, evaluated glenohumeral range of motion (ROM), assessed histological changes, and identified differentially expressed proteins (DEPs) using proteomics and phosphoproteomics. This study demonstrated that Tuina could improve glenohumeral ROM and reserve capsule fibrosis in FS rats. Proteomics revealed proteins regulated by Tuina belonging to the PI3K-AKT and ECM receptor interaction signaling pathways. Phosphoproteomics detected differentially phosphorylated proteins regulated by Tuina to be enriched in the MAPK signaling pathway. The combination of proteomics and phosphoproteomics for Protein–Protein Interaction (PPI) network analysis revealed that the phosphorylation of Myh3 and Srsf1 with a node degree larger than the average degree were considered the central regulatory protein modulated by Tuina to reverse capsule fibrosis. Thbs1, Vtn, and Tenascin-W were significantly enriched in PI3K-AKT and ECM receptor interaction signaling pathways and highly expressed in model rats. Tuina resulted in reduced expression of these proteins. Our findings demonstrated some of mechanisms behind the reversal of FS capsule fibrosis following Tuina, a scientific medical therapy for FS patients.
Abnormal ore pressure mechanism of working face under the influence of overlying concentrated coal pillar
Authors: Zhengzheng Cao , Qiang Sun , Zhenhua Li , Feng Du
Published: January 2024

Shenfu Dongsheng coal field is a cross-century energy base which is developed and constructed in China. In recent years, some mines have successively entered to the coal seam of the second layer. Due to the reasons of early mining, many coal pillars are left in the coal seam of the first layer, resulting in the phenomenon of strong ore pressure in the mining range before and after the coal pillar in the lower coal seam and even causing the buckling accident. In order to solve such safety problems, this paper takes the 22,307 working face in Bulianta coal mine as the research object, adopts physical similarity simulation experiment and theoretical analysis to systematically study the overlying rock characteristics and abnormal ore pressure manifestation mechanism of shallow and close coal seam in different working stages. The results show that the roof overburden of the key layer in the lower group bends and sinks when the coal pillar is mined, resulting in the activation and instability of the “masonry beam” structure formed by the roof of the upper coal seam. When the coal pillar is discharged, the residual concentrated coal pillar and the room type coal pillar are unstable under the action of high supporting stress, resulting in shear failure of the inter-layer rock in the upper part of 22,307 working face, causing the strong dynamic pressure of the working face to appear and then leading to the buckling accident. The working resistance of the support in each stage is obtained by establishing the structure diagram of the overlying rock under each stage and the corresponding mechanical structure model. Finally, the working resistance required by the support in the mining stage under the goaf is 16,692.6 kN, the working resistance required by the support in the coal pillar stage is 19,692.6 kN, the working resistance required by the support in the mining stage under the concentrated coal pillar is 13,150.6 kN, and the working resistance required by the support in the coal pillar stage is 19,215.6 kN.
Experimental and numerical evaluation for drum dynamic reliability under extremely complex working conditions
Authors: Zhao Guochao , Jin Xin , Zhao Lijuan , Zhou Wenchao , Liu Xuejing
Published: January 2024

Coal mining machine drums are prone to damage and malfunction under extremely complex working conditions, which seriously affects the efficiency and safety of coal production. In this paper, based on the theory of coal rock cutting and virtual simulation technology, finite element models of drum cutting coal rock were established and then verified by physical experiments. Through simulation analysis, the dynamic reliability of the drum was studied from three aspects: load, stress and wear, and a mathematical model of drum load was established with respect to the traction speed and drum rotation speed; based on the orthogonal test, the optimal working parameters to improve the wear resistance of the drum were derived. The results of the study found that when the traction speed increases, the load on the drum increases, and when the drum rotation speed increases, the load on the drum decreases; when the traction speed is increased from 2 to 6 m/min, the stress on the pick body under different rotation speeds increases to different degrees, with an average increase rate of 27.394%; when the drum rotation speed is 90 r/min, the traction speed is 3 m/min, and the coal loading mode is projectile loading, the wear depth of the picks and spiral blades is relatively small. The research method and results of this paper can provide a reference for the selection of the drum working parameters.
Surface characterization and antibacterial efficiency of well-ordered TiO2 nanotube surfaces fabricated on titanium foams
Authors: Durdu Salih , Sivlin Dila , Ozcan Kadriye , Kalkan Selin , Keles Ozgul , Usta Metin
Published: January 2024

Titanium (Ti)-based implants are not compatible enough due to their bio-inert character, insufficient antibacterial capabilities and stress-shielding problem for dental and orthopaedic implant applications. Thus, this work focused to fabricate, analyze and improve antibacterial properties titanium dioxide (TiO2) nanotube array surfaces on Ti foam by anodic oxidation (AO) process. The well-ordered nanotube arrays with approximately 75 nm were successfully fabricated at 40 V for 1 h on Ti foams. Ti and O were observed as major elements on AO-coated Ti foam surfaces. In addition, the existence of TiO2 structure was proved on AO-coated foam Ti surfaces. For potential dental and orthopedic implant application, in vitro antibacterial properties were investigated versus Staphylococcus aureus and Escherichia coli. For both bacteria, antibacterial properties of TiO2 nanotube surface were greater than bare Ti foam. The bacterial inhibition versus Staphylococcus aureus and Escherichia coli of TiO2 nanotube surfaces are improved as 53.3% and 69.4% compared to bare Ti foam.
A biomarker panel of C-reactive protein, procalcitonin and serum amyloid A is a predictor of sepsis in severe trauma patients
Authors: Li Mei , Qin Yan-jun , Zhang Xin-liang , Zhang Chun-hua , Ci Rui-juan , Chen Wei , Hu De-zheng , Dong Shi-min
Published: January 2024

Severe trauma could induce sepsis due to the loss of control of the infection, which may eventually lead to death. Accurate and timely diagnosis of sepsis with severe trauma remains challenging both for clinician and laboratory. Combinations of markers, as opposed to single ones, may improve diagnosis. We compared the diagnostic characteristics of routinely used biomarkers of sepsis alone and in combination, trying to define a biomarker panel to predict sepsis in severe patients. This prospective observational study included patients with severe trauma (Injury severity score, ISS = 16 or more) in the emergency intensive care unit (EICU) at a university hospital. Blood samples were collected and plasma levels of procalcitonin (PCT), C-reactive protein (CRP), interleukin-6 (IL-6) and serum amyloid A (SAA) were measured using commercial enzyme linked immunosorbent assay (ELISA) kits. A total of 100 patients were eligible for analysis. Of these, 52 were diagnosed with sepsis. CRP yielded the highest discriminative value followed by PCT. In multiple logistic regression, SAA, CRP, and PCT were found to be independent predictors of sepsis. Bioscore which was composed of SAA, CRP, and PCT was shown to be far superior to that of each individual biomarker taken individually. Therefore, compared with single markers, the biomarker panel of PCT, CRP, and SAA was more predictive of sepsis in severe polytrauma patients.
A carboxy-terminal ubiquitylation site regulates androgen receptor activity
Authors: Arai Seiji , Gao Yanfei , Yu Ziyang , Xie Lisha , Wang Liyang , Zhang Tengfei , Nouri Mannan , Chen Shaoyong , Asara John M. , Balk Steven P.
Published: January 2024

Degradation of unliganded androgen receptor (AR) in prostate cancer cells can be prevented by proteasome inhibition, but this is associated with only modest increases in polyubiquitylated AR. An inhibitor (VLX1570) of the deubiquitylases associated with the proteasome did not increase ubiquitylation of unliganded AR, indicating that AR is not targeted by these deubiquitylases. We then identified a series of AR ubiquitylation sites, including a not previously identified site at K911, as well as methylation sites and previously identified phosphorylation sites. Mutagenesis of K911 increases AR stability, chromatin binding, and transcriptional activity. We further found that K313, a previously reported ubiquitylation site, could also be methylated and acetylated. Mutagenesis of K313, in combination with K318, increases AR transcriptional activity, indicating that distinct posttranslational modifications at K313 differentially regulate AR activity. Together these studies expand the spectrum of AR posttranslational modifications, and indicate that the K911 site may regulate AR turnover on chromatin.
Single-cell analysis reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of ovarian cancer
Authors: Zhang Linan , Cascio Sandra , Mellors John W. , Buckanovich Ronald J. , Osmanbeyoglu Hatice Ulku
Published: January 2024

High-grade serous ovarian carcinoma (HGSOC) is a heterogeneous disease, and a highstromal/desmoplastic tumor microenvironment (TME) is associated with a poor outcome. Stromal cell subtypes, including fibroblasts, myofibroblasts, and cancer-associated mesenchymal stem cells, establish a complex network of paracrine signaling pathways with tumor-infiltrating immune cells that drive effector cell tumor immune exclusion and inhibit the antitumor immune response. In this work, we integrate single-cell transcriptomics of the HGSOC TME from public and in-house datasets (n = 20) and stratify tumors based upon high vs. low stromal cell content. Although our cohort size is small, our analyses suggest a distinct transcriptomic landscape for immune and non-immune cells in high-stromal vs. low-stromal tumors. High-stromal tumors have a lower fraction of certain T cells, natural killer (NK) cells, and macrophages, and increased expression of CXCL12 in epithelial cancer cells and cancer-associated mesenchymal stem cells (CA-MSCs). Analysis of cell-cell communication indicate that epithelial cancer cells and CA-MSCs secrete CXCL12 that interacte with the CXCR4 receptor, which is overexpressed on NK and CD8+ T cells. Dual IHC staining show that tumor infiltrating CD8 T cells localize in proximity of CXCL12+ tumor area. Moreover, CXCL12 and/or CXCR4 antibodies confirm the immunosuppressive role of CXCL12-CXCR4 in high-stromal tumors.
Nano-assembled open quantum dot nanotube devices
Authors: Althuon Tim , Cubaynes Tino , Auer Aljoscha , Sürgers Christoph , Wernsdorfer Wolfgang
Published: January 2024

A pristine suspended carbon nanotube is a near ideal environment to host long-lived quantum states. For this reason, they have been used as the core element of qubits and to explore numerous condensed matter physics phenomena. One of the most advanced technique to realize complex carbon nanotube based quantum circuits relies on a mechanical integration of the nanotube into the circuit. Despite the high-quality and complexity of the fabricated circuits, the range of possible experiments was limited to the closed quantum dot regime. Here, by engineering a transparent metal-nanotube interface, we developed a technique that overcomes this limitation. We reliably reach the open quantum dot regime as demonstrated by measurements of Fabry-Perot interferences and Kondo physics in multiple devices. A circuit-nanotube alignment precision of ± 200 nm is demonstrated. Our technique allows to envision experiments requiring the combination of complex circuits and strongly coupled carbon nanotubes such as the realization of carbon nanotube superconducting qubits or flux-mediated optomechanics experiments.
Towards a digitally connected body for holistic and continuous health insight
Authors: Gutruf Philipp
Published: January 2024

The digitally connected body with clinical grade multimodal and multisite biosignal acquisition is a key goal of the wearable device communities, which will enable advanced diagnostics and therapeutics. Recent advances in sensor and biointerfaces have enabled insight into biomarkers and physiological states that far exceed the commercially available technologies. However, they often require intimate contact with the target organ, which is possible acutely or over days but may not translate to continuous monitoring without substantial user engagement. Holistic device ecosystems or standards are therefore required to enable a digitally connected body. Here, we discuss current barriers and highlight potential avenues to enable a seamless, almost imperceptible network, of wearable sensors to capture health comprehensively and chronically.
The financial well-being of fruit farmers in Chile and Tunisia depends more on social and geographical factors than on climate change
Authors: Obster Fabian , Bohle Heidi , Pechan Paul M.
Published: January 2024

Climate change has significant implications for economically important crops, yet understanding its specific impact on farm financial wellbeing remains a challenging task. In this study we present self-reported perceptions of fruit farmers about their financial well-being when confronted with different climate change factors. We employed a combination of supervised machine learning and statistical modelling methods to analyze the data. The data collection was conducted through face-to-face interviews with 801 randomly selected cherry and peach farmers in Tunisia and Chile. Specific climate change factors, namely increases in temperature and reductions in precipitation, can have a regionally discernible effect on the self-perceived financial wellbeing of fruit farmers. This effect is less pronounced in Tunisia than in Chile. However, climate change is of lessor importance in predicting farm financial wellbeing, particularly for farms already doing well financially. Social assets, which include reliance on and trust in information sources, community and science, play an important role in increasing the probability of fruit farm financial wellbeing in both Tunisia and Chile. However, the most influential predictive factors differ between the two countries. In Chile, the location of the farm is the primary determinant of financial wellbeing, while in Tunisia it was the presence of social assets.
Restored lowland heathlands store substantially less carbon than undisturbed lowland heath
Authors: Duddigan Sarah , Hales-Henao Aysha , Bruce Maisie , Diaz Anita , Tibbett Mark
Published: January 2024

The conversion of lowland heathland to agricultural land in Europe significantly depleted soil carbon stocks. Restoring heathlands has been proposed as a mechanism to sequester soil carbon. Here we compared soil carbon in (i) agricultural pasture; (ii) native heathland and (iii) restored heathland through acidification with elemental sulfur (sulphur). After 18 years of soil acidification, soil chemical properties (pH, extractable nutrients etc.), fauna and vegetation assemblage resembled that of native heathlands. However, native heathland was found to contain more than double the soil carbon stock of restored heath, with significantly higher contents of stable soil organic matter, and restored heath soil carbon was not significantly different to the control pasture. This result, combined with supporting findings of a comprehensive literature review, has ramifications for carbon-sequestration proposals, given the urgency required for climate mitigation tools.
Multi-resolution deep learning characterizes tertiary lymphoid structures and their prognostic relevance in solid tumors
Authors: van Rijthoven Mart , Obahor Simon , Pagliarulo Fabio , van den Broek Maries , Schraml Peter , Moch Holger , van der Laak Jeroen , Ciompi Francesco , Silina Karina
Published: January 2024

Background

Tertiary lymphoid structures (TLSs) are dense accumulations of lymphocytes in inflamed peripheral tissues, including cancer, and are associated with improved survival and response to immunotherapy in various solid tumors. Histological TLS quantification has been proposed as a novel predictive and prognostic biomarker, but lack of standardized methods of TLS characterization hampers assessment of TLS densities across different patients, diseases, and clinical centers.

Methods

We introduce an approach based on HookNet-TLS, a multi-resolution deep learning model, for automated and unbiased TLS quantification and identification of germinal centers in routine hematoxylin and eosin stained digital pathology slides. We developed HookNet-TLS using n = 1019 manually annotated TCGA slides from clear cell renal cell carcinoma, muscle-invasive bladder cancer, and lung squamous cell carcinoma.

Results

Here we show that HookNet-TLS automates TLS quantification across multiple cancer types achieving human-level performance and demonstrates prognostic associations similar to visual assessment.

Conclusions

HookNet-TLS has the potential to be used as a tool for objective quantification of TLS in routine H&E digital pathology slides. We make HookNet-TLS publicly available to promote its use in research.
A high-resolution handheld millimeter-wave imaging system with phase error estimation and compensation
Authors: Li Yadong , Zhang Dongheng , Geng Ruixu , Lu Zhi , Wu Zhi , Hu Yang , Sun Qibin , Chen Yan
Published: January 2024

Despite the enormous potential of millimeter-wave (mmWave) imaging, the high cost of large-scale antenna arrays or stringent prerequisites of the synthetic aperture radar (SAR) principle impedes its widespread application. Here, we report a portable, affordable, and high-resolution 3D mmWave imaging system by overcoming the destructive motion error of handheld SAR imaging. This is achieved by revealing two important phenomenons: spatial asymmetry of motion errors in different directions, and local similarity of phase errors exhibited by different targets, based on which we formulate the challenging phase error estimation problem as a tractable point spread function optimization problem. Experiments demonstrate that our approach can recover high-fidelity 3D mmWave images from severely distorted signals and augment the aperture size by over 50 times. Since our system does not rely on costly massive antennas or bulky motion controllers, it can be applied for diverse applications including security inspection, autonomous driving, and medical monitoring.
Improved matrix purification using a graphene oxide-coated melamine sponge for UPLC-MS/MS-based determination of 37 veterinary drugs in milks
Authors: Xu Xu , Lv Jia , Zhou Jintian , Ji Baocheng , Yang Lanrui , Xu Gaigai , Hou Zhuchen , Li Lulu , Bai Yanhong
Published: January 2024

A fast and convenient matrix purification method based on a reduced graphene oxide coated melamine sponge was developed for the analysis of 37 veterinary drugs in milks using UPLC-MS/MS.
A fluorolytic sol–gel route to access an amorphous Zr fluoride catalyst: a useful tool for C–F bond activation
Authors: Heinekamp Christian , Kneiske Sönke , Guilherme Buzanich Ana , Ahrens Mike , Braun Thomas , Emmerling Franziska
Published: January 2024

A route to a ZrF4 catalyst active in room temperature Friedel–Crafts and dehydrofluorination reactions was developed via a fluorolytic sol–gel route, which was followed by a postfluorination step using CHClF2.
Gut microbiome-based therapies for alleviating cognitive impairment: state of the field, limitations, and future perspectives
Authors: Bu Linli , Wang Chen , Bai Junying , Song Jiajia , Zhang Yuhong , Chen Hongyu , Suo Huayi
Published: January 2024

Cognitive impairment (CI) is a multifaceted neurological condition that can trigger negative emotions and a range of concurrent symptoms, imposing significant public health and economic burdens on society.
Causal association between tea consumption and head and neck cancer: a Mendelian randomization study
Authors: Zhang Qi-he , Wang Mei-qi , Wang Huan-huan , Huang Yu-wei , Dong Chao , Xin Ying , Jiang Xin
Published: January 2024

Although evidence supports an observational association between tea consumption and susceptibility to head and neck cancer, the causal nature of this association remains unclear.
Tight-binding model describes frontier orbitals of non-fullerene acceptors
Authors: Jindal Vishal , Janik Michael J. , Milner Scott T.
Published: January 2024

HOMO and LUMO of conjugated molecules as superposition of HOMO and LUMO of individual moieties.
Advances in screening hyperthermic nanomedicines in 3D tumor models
Authors: Soeiro Joana F. , Sousa Filipa L. , Monteiro Maria V. , Gaspar Vítor M. , Silva Nuno J. O. , Mano João F.
Published: January 2024

Integrating the advances of emerging hyperthermia techniques with 3D tumor models and non-invasive temperature control systems can contribute to identifying top-performing hyperthermic nanomedicines in preclinical evaluation stages.
Ion transport mechanisms in pectin-containing EC–LiTFSI electrolytes
Authors: Mohapatra Sipra , Teherpuria Hema , Paul Chowdhury Sapta Sindhu , Ansari Suleman Jalilahmad , Jaiswal Prabhat K. , Netz Roland R. , Mogurampelly Santosh
Published: January 2024

Using all-atom molecular dynamics simulations, we report the structure and ion transport characteristics of a new class of solid polymer electrolytes that contain the biodegradable and mechanically stable biopolymer pectin.
Ultrafast switching to zero field topological spin textures in ferrimagnetic TbFeCo films
Authors: Zhu Kaixin , Bi Linzhu , Zhang Yongzhao , Zheng Dingguo , Yang Dong , Li Jun , Tian Huanfang , Cai Jianwang , Yang Huaixin , Zhang Ying , Li Jianqi
Published: January 2024

Zero-field multiple topological spin textures are generated upon fs laser excitation on the saturated state of amorphous ferrimagnetic TbFeCo films due to an ultrafast nucleation mechanism.
Water-stable perovskite CsPb2Br5/CdSe quantum dot-based photoelectrochemical sensors for the sensitive determination of dopamine
Authors: Zhao Gang , Sun Xinhang , Li Songyuan , Zheng Jiale , Liu Junhui , Huang Mingju
Published: January 2024

Our research presents a novel water-stable photoelectrochemical sensor based on CsPb2Br5/CdSe quantum dots for dopamine.
The fate of the contact ion pair determines the photochemistry of coumarin-based photocleavable protecting groups
Authors: Schulte Albert Marten , Alachouzos Georgios , Szymanski Wiktor , Feringa Ben L.
Published: January 2024

Improving the efficiency of photocleavable protecting groups is crucial for their application. Here we reveal how the fate of the contact ion pair intermediate plays a key role in defining this efficiency.
In silico MS/MS prediction for peptidoglycan profiling uncovers novel anti-inflammatory peptidoglycan fragments of the gut microbiota
Authors: Kwan Jeric Mun Chung , Liang Yaquan , Ng Evan Wei Long , Sviriaeva Ekaterina , Li Chenyu , Zhao Yilin , Zhang Xiao-Lin , Liu Xue-Wei , Wong Sunny H. , Qiao Yuan
Published: January 2024

PGN_MS2: an in silico PGN library for automated LC-MS/MS spectral deconvolution of bacterial peptidoglycan fragments (PGNs).
Complete depolymerization of poly(ester-alt-thioether)s under mild conditions into AB functional monomers
Authors: Le Luyer Simon , Guégan Philippe , Illy Nicolas
Published: January 2024

Full depolymerization of functional poly(ester-alt-thioether)s by methanolysis at room temperature and subsequent step-growth repolymerization.
Incorporation of Fe3+ into MnO2 birnessite for enhanced energy storage: impact on the structure and the charge storage mechanisms
Authors: Invernizzi Ronan , Kovrugin Vadim M. , Molinié Louise , Iadecola Antonella , Duttine Mathieu , Bourgeois Lydie , Olchowka Jacob , Guerlou-Demourgues Liliane
Published: January 2024

This study elucidates the role of Fe3+ incorporation in birnessite and underscores the significance of the alkaline site's nature in the interlayer spacing for achieving optimized energy storage performance.
The critical role of Ru-like hydrogen adsorption of carbon dots in a carbon-confined Ru system for boosted HER activity
Authors: Liu Zonglin , Zhang Honglei , Liu Dongyue , Feng Yujie , Jia Dechang , Li Caicai , Sun Qingfeng , Zhou Yu , Kang Zhenhui , Li Baoqiang
Published: January 2024

Ru/NCDs with ruthenium (Ru) nanoparticles loaded on N-doped carbon dots were constructed. The confinement effect and Ru-like hydrogen adsorption capacity of NCDs effectively facilitate the hydrogen spillover process and boost the HER activity.
Ultrafast and highly selective gold recovery with high capture capacity from electronic waste by upconversion of a silsesquioxane-based hybrid luminescent aerogel
Authors: Wang Qingzheng , Unno Masafumi , Liu Hongzhi
Published: January 2024

To maintain sustainable development and improve resource utilization, there is an urgent need to recover gold using an eco-friendly, efficient and highly-selective method.
Synergistic passivation of alkali halides enables highly efficient perovskite QLEDs
Authors: Chen Jiawei , Su Yuqin , Shen Yalong , Liu Xiangyu , Xiang Hengyang , Duan Lian , Zeng Haibo
Published: January 2024

The synergistic passivation effect of alkali halide on CsPbI3 quantum dots enables an enhanced PLQY of 96%. Fabricated perovskite quantum dot-based light-emitting diodes (Pe-QLEDs) exhibiting a maximum peak EQE of 21.58%.
Chunk2vec: A novel resemblance detection scheme based on Sentence‐BERT for post‐deduplication delta compression in network transmission
Authors: Wang Chunzhi , Wang Keguan , Li Min , Wei Feifei , Xiong Neal
Published: January 2024

Delta compression, as a complementary technique for data deduplication, has gained widespread attention in network storage systems. It can eliminate redundant data between non‐duplicate but similar chunks that cannot be identified by data deduplication. The network transmission overhead between servers and clients can be greatly reduced by using data deduplication and delta compression techniques. Resemblance detection is a technique that identifies similar chunks for post‐deduplication delta compression in network storage systems. The existing resemblance detection approaches fail to detect similar chunks with arbitrary similarity by setting a similarity threshold, which can be suboptimal. In this paper, the authors propose Chunk2vec, a resemblance detection scheme for delta compression that utilizes deep learning techniques and Approximate Nearest Neighbour Search technique to detect similar chunks with any given similarity range. Chunk2vec uses a deep neural network, Sentence‐BERT, to extract an approximate feature vector for each chunk while preserving its similarity with other chunks. The experimental results on five real‐world datasets indicate that Chunk2vec improves the accuracy of resemblance detection for delta compression and achieves higher compression ratio than the state‐of‐the‐art resemblance detection technique.
The effect of ride‐hailing services on public transit usage in China's small‐ and medium‐sized cities: A synthetic control method analysis
Authors: Zhong Jun , Zhou Huan , Lin Yan , Ren Fangxiao
Published: January 2024

With the recent advances in smartphones and Internet technologies, ride‐hailing services (such as Uber and Didi) have emerged and changed the travel modes that residents use. An important issue within this area is how ride‐hailing services influence public transit usage. The majority of the research regarding this topic has focused on situations in large cities and has not reached a unanimous consensus among scholars. In particular, the role of ride‐hailing services in small‐ and medium‐sized cities may be different from the role of these services in large cities. In this paper, we choose 22 small‐ and medium‐sized cities in China as samples with a research time window spanning from 2011 to 2016 to examine the impact of the introduction of ride‐hailing services on public transit usage. The results of the synthetic control method, as well as other robustness checks, show that (1) the introduction of ride‐hailing services to China's small‐ and medium‐sized cities significantly increases public transit usage; (2) the effect of the introduction of ride‐hailing services on public transit usage in small‐ and medium‐sized cities is “proactive” for approximately 1 year; and (3) the positive effect of ride‐hailing services on public transit usage in small‐ and medium‐sized cities weakens over time. This study enriches the literature on the impact of ride‐hailing services on the urban transportation system by specifically taking small‐ and medium‐sized cities as the research scope. The above findings are of great significance to the urban transport department's formulation of ride‐hailing policies and the operation layout of public transit operators in small‐ and medium‐sized cities.
Hybrid Electrical Vehicle Design by Using Solar and Battery Sources
Authors: Varma N. Rajasekar , Reddy Kalagotla Chenchi , Dhasharatha G. , Manohar Varikuppala , Kalyan Kumar Kotha , Praveen Kumar Vangala
Published: January 2024

This paper of the modelling methods and software used to model EVs with BLDC motors are provided in this research. It examines the value of simulation in enhancing control, energy, and performance techniques for vehicles. This research also examines important variables, scenarios, and difficulties in simulating BLDC motor driven EVs, emphasising their significant contribution to the development of EV technology. The battery is charged using a power converter and a DC/DC converter. In order to charge the battery, it also used regenerative braking. This model enables a thorough examination of battery performance under various operating circumstances, such as temperature changes and charge and discharge cycles. The battery efficiency of this lithium-ion battery is outstanding. An electric vehicle with a solar power source and a totally battery-powered design. We create a comprehensive and adaptable simulation environment that faithfully replicates real-world EV behaviour by integrating the Simulink and Simscape libraries from MATLAB. It not only advances the technology of electric vehicles but also looks into the integration of solar power to increase the sustainability of electric mobility. This research highlights the potential for electric vehicles to be a key contributor to a cleaner and more sustainable transportation future by fusing the advantages of lithiumion batteries, BLDC motors, and solar power.
Assessment of extremely low frequency electric and magnetic field of 400kV transmission lines and substations in Oman
Authors: Abdul Saleem Shaik , Mihoub Mohammed , Al Hatmi Humeid Abdullah , Al Zarouni Mohammed Ibrahim
Published: January 2024

The present study is centered on the investigation of longitudinal and lateral profiles of Extremely low-frequency Electromagnetic field experiments conducted at three distinct locations in Oman. The investigation encompasses findings obtained from 400kV transmission lines and substations. The analysis of electric and magnetic fields emitted by transmission lines was conducted using an EHP-50F E&H field analyzer sensor set and an environmental meter. The measurements were conducted at 400kV transmission lines or to a distance of the insignificant field at the high-voltage substation, various components such as power transformers, CT (current transformers), PT (potential transformers), circuit breakers, reactors, earth switches, transport couplers, lightning arrestors, and other. This research in Oman marks the initial exploration of various factors pertaining to the Oman Electricity Transmission Company (OETC) and its technical standards, which are founded on optimal practices. These factors encompass the interphase spacing, the spacing between conductors within a bundle of twin conductors, the configuration of phases on a tower, the crosssectional area of conductors, and similar considerations. The proposed study aims to support the Sultanate of Oman's objective of establishing a high-quality smart transmission grid by 2030. This system will facilitate the efficient, reliable, and secure transfer and distribution of power, while also offering economic benefits. This research aims to cater to the needs of students and engineers by offering a highly practical approach that utilizes appropriate equipment. This article presents a systematic approach to the implementation of a smart transmission grid, incorporating the aforementioned attributes.
Design and mathematical modelling of Electric Vehicle
Authors: Rajitha M. , Swarupa M. Lakshmi , Sree Latha K. , Bhoopal N. , Shravani Ch.
Published: January 2024

A model which is based on design will reduce the development cost of the system. There are different phases associated with complex models for systems like Electric Vehicles, these include Functional Specification definitions, Design specification, Test and authenticate and implementation. The case study done in this paper will be including only first two stages. The results will help to understand how the system designer can take decisions using simulation output. Simulation is a very complicated task which can represent simple design with precision and complex design with great accuracy that is almost near to the practical model. There is a compromise when making decisions with respect to precision and design complexity. It is always recommended to consider accurate models but when parameters are considered it is very difficult to determine parameters preferably in first stage of the model development and even the simulation of these accurate model is very slow. Hence a more detailed level of simulation model is needed. So, the system designer needs a complete overview of system power flow in the initial level of modelling. In the second level there is a need of designing more accurate model of different systems in which choosing an appropriate parameter for energy management system and power converters is needed. In this paper it can be clarified that a detailed design will validate the system’s behaviour with great accuracy and to conduct other adoptions as requires.
A Novel Approach to Strengthening Web-Based Cloud Services: Two-Factor Access Control
Authors: Kumar P. Kiran , Raghavendra C. , Dodda Ratnam , Shahebaaz Ahmed
Published: January 2024

In this paper we introduce a recent and evolved two-factor authentication (2FA) access govern system specially designed for webbased cloud computing services. Our innovative system encompasses an attribute-based access govern mechanism that combines a user’s secret key with a lightweight safety device. Our system significantly improves security, particularly in scenarios where multiple users share a single computer for web-based cloud services, as access is contingent on the presence of both components. In addition, the attribute-based govern mechanism enables the cloud server to enforce access constraints based on users with identical attributes, while maintaining the highest extent of user confidentiality protection. The server’s verification procedure focuses exclusively on verifying that users meet the necessitated criteria, without accessing their exact identities. To further confirm the practicability and usefulness of our 2FA system, we conduct an in-depth simulation as a portion of our study.
Spatial and Temporal analysis of Landsat data to Retrieve the NDWI, NDVI and Land Surface Temperature by thermal remote sensor: A case study of Hyderabad Metropolitan City, Telangana
Authors: Suneetha Yedla , Anji Reddy Mareddy
Published: January 2024

Urban areas endure larger variations in ground surface temperature, vegetation, and water content than rural areas do due to the accelerated rise of technology, urbanization, and industrialization. These challenges could be investigated by using GIS and remote sensing tools. Using “LANDSAT 5 and LANDSAT 8 OLI/TIRS” data for Hyderabad from 2000 to 2020, this study evaluates changes in vegetation, water availability, and land surface temperature. Variations in NDVI, NDWI, and LST have been observed over time as a result of research on several parameters.Indices of water and vegetation are examined in this study where the Vegetation declined from 0.73006 to 0.49419 between 2000 and 2020, whereas water quantity decreased from 0.7979 to 0.4901 until 2010, at which point it progressively climbed to 0.7015 by that year. Likewise, studies on LST have demonstrated a connection between LST and NDWI. After rising to 40.9°C in 2010 from 39.8°C in 2000, temperatures decreased to 40°C in 2015 and 39.8°C in 2020.This work shows that LST, NDWI and NDVI can be accurately computed using GIS and remote sensing, which is helpful for environmental research and studies.
Blockchain-Enabled Simulation and Optimization for Supply Chain Transparency
Authors: Lalitha G. , Gupta Manish , Arul Sujin Jose , Praveen  , Parashar Ashish Kumar , Hussien Raghad Ahmed
Published: January 2024

The field of supply chain management has experienced heightened complexity in the context of globalization, giving rise to many difficulties pertaining to transparency, traceability, and efficiency. Blockchain technology has emerged as a possible option to mitigate these challenges by offering a secure and unalterable ledger for documenting transactions and events across the supply chain. This study investigates the integration of blockchain technology with simulation and optimization methodologies in order to boost the level of transparency in supply chain operations. This study aims to explore the possibilities of simulation and optimization models provided by blockchain technology in enhancing transparency inside the supply chain. It focuses on the tracking and verification of the flow of items, information, and cash. The aforementioned statement underscores the advantages of blockchain technology, specifically in terms of facilitating real-time data sharing, maintaining tamper-proof records, and employing decentralized consensus methods. The research paper provides an exposition of case studies and practical implementations of blockchain-enabled simulation and optimization across diverse sectors. These examples serve to demonstrate the potential of this methodology in detecting inefficiencies, mitigating risks, and improving overall supply chain efficacy. The aforementioned instances demonstrate how enterprises can acquire a competitive advantage through the utilization of blockchain technology to augment transparency and optimize their supply chain operations.
Development of Image Inpainting for object removal using Enhanced Patch Priority and Matching Measures
Authors: Rao Janardhana , Revathi K. , Bhanusree Yalamanchili , Odugu Venkata Krishna , Babu Gade Harish
Published: January 2024

Image inpainting can be used to fix broken images and get rid of distracting elements. In exemplar based methods, patch priority computation and exemplar patch selection are crucial to the success of image inpainting technique. The dropping effect occurred in the highest patch priority computation and matching error in the best patch selection are the major issues in the exemplar inpaint methods. In this paper, the enhanced priority calculation technique is employed to avoid the dropping effect and introduced the new similarity measuring process, Mean Squared Error (MSD). The efficacy of the proposed techniques is estimated by comparing with the available methods in the literature qualitatively. It shows that proposed methods outperformed existing techniques.
Retraction Note: Islamic Psychology: Historical Notes from Herbert George Wells (1866–1946)
Authors: Çaksen Hüseyin , Çaksen Feyza
Published: January 2024

Retraction

The above article published in Journal of Pediatric Neurology on November 16, 2022 (DOI: 10.1055/s-0042-1758473), has been retracted as it is lacking scientific base.
Retraction Note: The Importance of Religion, Spirituality, and Spiritual Care in Patients with Multiple Sclerosis
Authors: Çaksen Hüseyin
Published: January 2024

Retraction

The above article published in Journal of Pediatric Neurology on May 22, 2023 (DOI: 10.1055/s-0043-1768656), has been retracted as it is lacking scientific base.
Retraction Note: Hijab Protects Adolescent Girls and Women from Sexual Harassment
Authors: Çaksen Hüseyin , Çaksen Feyza
Published: January 2024

Retraction

The above article published in Journal of Pediatric Neurology on May 26, 2023 (DOI: 10.1055/s-0043-1769481), has been retracted as it is lacking scientific base.
Retraction Note: Parents' Supernatural Beliefs on Causes of Birth Defects: A Review from Islamic Perspective
Authors: Çaksen Hüseyin
Published: January 2024

Retraction

The above article published in Journal of Pediatric Genetics in Volume 12, Number 02 (DOI: 10.1055/s-0043-1761268), has been retracted as it is lacking scientific base.
Retraction Note: Neonatal Hypoglycemia: Oral Dextrose Gel and Tahneek Practice
Authors: Çaksen Hüseyin
Published: January 2024

Retraction

The above article published in Journal of Pediatric Epilepsy in Volume 12, Number 02 (DOI: 10.1055/s-0042-1760192), has been retracted as it is lacking scientific base.
Regional culture and corporate finance: a literature review
Authors: Mao Lina , Lu Chongluan , Sun Guangfan , Zhang Chunyan , Guo Changwei
Published: January 2024

According to the theory of institutional economics, local culture has a profound impact on individuals and groups. It fundamentally affects individual preferences and attitudes, guiding decision-making behaviors to develop homogeneous regional cultural characteristics. This, in turn, reflects in the business decisions of companies, leading to imbalances in the development of different regional enterprises. This article reviews the relevant literature on regional culture and corporate finance, aiming to investigate how regional culture plays a significant role in corporate governance and corporate performance. It explores the limitations of existing research and further analyzes issues related to the quantification of culture, its mechanism of influence, and endogeneity in regression models.
A look at the Spanish film industry and its level of persistence
Authors: Gil-Ruiz Francisco José , Gil-Alana Luis Alberiko , Hernández-Herrera María , Ayestarán-Crespo Raquel
Published: January 2024

This paper explores the Spanish film industry to analyze the evolution of Spanish movie theater revenues up to December 2021 using both aggregated and disaggregated data by area of origin. Based on fractional integration methods, the results showed a change in persistence in the series as a result of the Covid-19 pandemic. Lower degrees of persistence are observed in the aggregated data and in the series related with the US, implying shorter effects of shocks in these cases. Nevertheless, a substantial increase in persistence after the Covid-19 is observed in all series.