bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tracking control for restrained nonlinear systems with time‐changing latency using the preview control approach
Authors: Li Li , Lu Yanrong , Zhang Yaofeng 
Published: August 2024

AbstractAn innovative technique for developing fuzzy preview tracking control nonlinear systems using Takagi‐Sugeno (T‐S) fuzzy models is discussed. The design considers robustness against state time‐changing latency, input saturation, and reference tracking. To achieve this, the T‐S fuzzy system was combined with time‐changing latency and input saturation to create an augmented error system, transforming the original fuzzy preview tracking control issue into a stability issue for the augmented error systems. Next, a new fuzzy preview tracking controller was developed by considering the T‐S fuzzy systems' states or outputs, a distinct integrator, and a previewed reference signal to solve the tracking control issue. For the augmented error system's asymptotic stability, new adequate conditions were derived by employing the fuzzy Lyapunov function, small gain theory, and linear matrix inequality (LMI) method. Finally, the proposed method's effectiveness was demonstrated using two numerical examples.
An evaluation methodological approach to support the definition of effective urban projects: A case study in the city of Rome (Italy)
Authors: Tajani Francesco , Morano Pierluigi , Di Liddo Felicia , La Spina Ivana 
Published: August 2024

AbstractThe urban policies for the sustainable development of the territories are focused on the definition of effective regeneration projects. Within the design and ideas competitions, the evaluation of the proposals constitutes a crucial step in the decision‐making processes. During the last decades, the participatory approach has played a central role for the selection of initiatives in line with the changing framework of the communities' needs. The present research aims to propose and test an evaluation methodological approach to support choice processes for the identification of the “best” project solution among different hypotheses. The methodology is articulated in seven phases and integrates different tools (context analysis, econometric technique, strengths, weaknesses, opportunities, and threats analysis, A'WOT method). It addresses the various subjects involved in the mechanisms of identifying the initiatives to be implemented in the territory, that is, (i) the Public Administrations to guide the selection of the most suitable scenarios based on the reference context, (ii) the planners to provide guidelines for the formulation of intervention plans that are effective and appropriate for the reference context, and (iii) the private investors to carry out financially feasible initiatives. The implementation of the proposed evaluation approach to a case study regarding a district in Rome (Italy) allows to test its user‐friendliness in the processes of project alternative selection, in which different proposals are provided. The practical implications of the tool concerns its ability to support the determination of the criteria and the relative weights to be considered in the calls for the project competitions.
Understanding the Mechanisms of Methylammonium‐Induced Thermal Instability in Mixed‐FAMA Perovskites
Authors: Tay Darrell J. J. , Febriansyah Benny , Salim Teddy , Kovalev Mikhail , Sharma Aakash , Koh Teck Ming , Mhaisalkar Subodh G. , Ager Joel W. , Mathews Nripan 
Published: August 2024

AbstractDespite a recent shift toward methylammonium (MA)‐free lead‐halide perovskites for perovskite solar cells, high‐efficiency formamidinium lead iodide (FAPbI3) devices still often require methylammonium chloride (MACl) as an additive, which evaporates away during the annealing process. In this article, it is shown that the residual MA+, however, triggers thermal instability. To investigate the possibility of an optimal concentration of MA+ that may improve thermal stability, the intrinsic thermal stability of pure FA, FA‐rich, MA‐rich, and pure MA perovskite films (FA1−xMAxPbI3, FAMA) is studied. The results show that the thermal stability of FAMA perovskites decreases with more MA+, under degradation conditions that isolate the intrinsic thermal stability of the material (i.e., without moisture and oxygen effects). X‐ray diffraction (XRD), proton‐transfer‐reaction time‐of‐flight mass spectrometry (PTR‐ToF‐MS), photoluminescence (PL) and UV–visible spectroscopy, and depth‐profiling X‐ray Photoelectron Spectroscopy (XPS) are employed to show that the observed trend is mainly due to the decomposition of the MA+ cation, as opposed to other effects such as the precursor solvent and film morphologies. It is also found that the surfaces of these FAMA films are MA+ rich, although this phenomenon does not appear to affect thermal stability. Finally, it is demonstrated that this trend is unaffected by the presence of Spiro‐OMeTAD atop the film, and thus solar cell devices should preserve this trend.
Ultrafast Conversion of Water and Oxygen Molecules With Dissociation of Hydrogen Bonding Effect to Achieve Extra‐High Energy Efficiency of Secondary Metal‐Air Batteries
Authors: Song Jinlu , Kumar Anuj , Chai Lulu , Zhao Man , Sun Yanzhi , Li Xifei , Pan Junqing 
Published: August 2024

AbstractMetal‐air secondary batteries with ultrahigh specific energies have received vast attention and are considered new promising energy storage. The slow redox reactions between oxygen‐water molecules lead to low energy efficiency (55–71%) and limited applications. Herein, it is proposed that the MIL‐68(In)‐derived porous carbon nanotube supports the CoNiFeP heteroconjugated alloy catalyst with an overboiling point electrolyte to achieve the ultrahigh oxidation rate of water molecules. Structural characterization and density functional theory calculations reveal that the new catalyst greatly reduces the free energy of the process, and the overboiling point further accelerates the dissociation of O─H and hydrogen bonds, and the release of O2 molecules, achieving an extra‐low overpotential of 110 mV@10 mA cm−2 far lower than commercial Ir/C catalysts of 192 mV at 125 °C and state‐of‐the‐art. Furthermore, the energy efficiency of assembled rechargeable zinc‐air batteries begins to break through at 85 °C, jumps at 100 °C, and reaches ultrahigh energy efficiency of 88.1% at 125 °C with an ultralow decay rate of 0.0068% after 150 cycles far superior to those of reported metal‐air batteries. This work provides a new catalyst and electrolyte joint‐design strategy and reexamines the battery operating temperature to construct higher energy efficiency for secondary fuel cells.
Green H2 Generation from Seawater Deploying a Bifunctional Hetero‐Interfaced CoS2‐CoFe‐Layered Double Hydroxide in an Electrolyzer
Authors: Afshan Gul , Karim Suhana , Kharwar Yashwant Pratap , Aziz Tarik , Saha Sukanta , Roy Soumyabrata , Dutta Arnab 
Published: August 2024

AbstractThis work illustrates the practicality and economic benefits of employing a hetero‐interfaced electrocatalyst (CoS2@CoFe‐LDH), containing cobalt sulphide and iron‐cobalt double‐layer hydroxide for large‐scale hydrogen generation. Here, the rational synthesis and detailed characterization of the CoS2@CoFe‐LDH material to unravel its unique heterostructure are essayed. The CoS2@CoFe‐LDH operates as a bifunctional electrocatalyst to trigger both the hydrogen evolution reaction (HER) and the oxygen evolution reaction (OER) in alkaline seawater (pH 14.0) while showcasing low overpotential requirement for HER (311 mV) and OER (450 mV) at 100 mA cm−2 current density. The identical CoS2@CoFe‐LDH on either electrode in an H‐cell setup results in simultaneous H2 and O2 production from seawater with a ≈98% Faradaic efficiency with an applied potential of 1.96V@100 mA cm−2. Next, this CoS2@CoFe‐LDH catalyst is deployed on both sides of a membrane electrode assembly in a one‐stack electrolyzer, which retains the intrinsic bifunctional reactivity of the catalyst to generate H2 and O2 in tandem from alkaline seawater with an impeccable energy efficiency (50 kWh kg−1‐of‐H2). This electrolyzer assembly can be directly linked with a Si‐solar cell to produce truly green hydrogen with a solar‐to‐hydrogen generation efficiency of 15.88%, highlighting the potential of this converting seawater to hydrogen under solar irradiation.
Burrowing for answers: Investigating Syrian hamster welfare through owner surveys
Authors: Fox Alice , Neville Vikki 
Published: August 2024

AbstractBackgroundSyrian hamsters are a relatively common pet species in the UK. However, we know very little about how they are kept. The aim of this study was to identify areas of good and poor practices among Syrian hamster owners using owner surveys.MethodA survey of pet hamster owners was conducted with questions on husbandry, behaviour and health.ResultsThere were 548 survey responses. Over 95% of the owners provided a wheel, hideaway or chew toy, and over 90% housed their hamster alone. However, 18.4% of the owners used hamster balls, hamsters may have been fed a diet that was not entirely appropriate, and over 45% of respondents reported that their hamsters were housed in close proximity to predator species. Most (65.9%) hamsters had never been taken to a veterinarian. Hamster ball use, shallower substrate depth and more frequent handling were significantly associated with greater owner observations of bar biting.LimitationsA key limitation is that the respondents may not be representative of the average pet hamster owner, so this research does not provide a complete picture of the current state of hamster welfare.ConclusionThere are some welfare concerns regarding the way Syrian hamsters are currently kept in the UK. Therefore, attempts to better distribute information about hamster care to owners should be made.
Multimodal data integration using deep learning predicts overall survival of patients with glioma
Authors: Yuan Yifan , Zhang Xuan , Wang Yining , Li Hongyan , Qi Zengxin , Du Zunguo , Chu Ying‐Hua , Feng Danyang , Hu Jie , Xie Qingguo , Song Jianping , Liu Yuqing , Cai Jiajun 
Published: August 2024

AbstractGliomas are highly heterogenous diseases with poor prognosis. Precise survival prediction could benefit further clinical decision‐making, clinical trial incursion, and health economics. Recent research has emphasized the prognostic value of magnetic resonance imaging, pathological specimens, and circulating biomarkers. However, the integrative potential and efficacy of these modalities require to be further validated. After incorporating 218 patients of The Cancer Genome Atlas glioma datasets of and 54 patients of the Huashan cohort with complementary prognostic information, we established a squeeze‐and‐excitation deep learning feature extractor for T1‐contrast enhanced images and histological slides and explored to screen significant circulating 5‐hydroxymethylcytosines (5hmC) profiles for glioma survival by least absolute shrinkage and selection operator‐Cox regression. Therefore, a prognostication predictive model with high efficiency was obtained through survival support vector machine multimodal integration of radiologic imaging, histopathologic imaging features, genome‐wide 5hmC in circulating cell‐free DNA and clinical variables, suggesting a valid strategy (concordance‐index = 0.897; Brier score = 0.118) for improved survival risk stratification of glioma patients.
Synthetic Dimerization Approaches for In Vivo Studies in Saccharomyces cerevisiae
Authors: Elsässer Jana , Kraft Claudine 
Published: August 2024

AbstractSynthetic tethering approaches induced by chemical means offer precise control over protein interactions in cells. They enable the manipulation of when, where, and how proteins interact, making it possible to study their functions, dynamics, and cellular consequences at a molecular level. These methods are versatile, reversible, and adaptable, allowing the dissection of complex cellular processes and the engineering of cellular functions. Here, we describe two chemically induced dimerization systems in the model organism Saccharomyces cerevisiae. Using the autophagy pathway as an example, we show how these approaches can be used to dissect molecular events in cells.
Treatment of Klippel-Feil syndrome with symptomatic atlantoaxial instability in a 7-year-old boy
Authors: Pepke W. , Renkawitz T. , Hemmer S. 
Published: August 2024

AbstractKlippel-Feil syndrome (KFS) is a congenital deformity of the cervical spine. Clinical symptoms of KFS are reduced range of motion, short neck and low hairline. In adult KFS patients the deformity can lead to adjacent segmental instability with spinal canal stenosis, radiculopathy and myelopathy. This article reports about the diagnostics and treatment management of juvenile KFS patient with myelopathy due to instability of the C1/C2 segment, subsequent stenosis through the posterior arch of C1 and symptomatic myelopathy. This 7‑year-old boy could be successfully treated with C1 decompression and computer tomography (CT) guided C1/C2 stabilization with pedicle screws under intraoperative neuromonitoring.
Textural heterogeneity of liver lesions in CT imaging - comparison of colorectal and pancreatic metastases
Authors: Pietsch Friedrich L. , Haag Florian , Ayx Isabelle , Grawe Freba , Vellala Abhinay K. , Schoenberg Stefan O. , Froelich Matthias F. , Tharmaseelan Hishan 
Published: August 2024

Abstract
Purpose
Tumoral heterogeneity poses a challenge for personalized cancer treatments. Especially in metastasized cancer, it remains a major limitation for successful targeted therapy, often leading to drug resistance due to tumoral escape mechanisms. This work explores a non-invasive radiomics-based approach to capture textural heterogeneity in liver lesions and compare it between colorectal cancer (CRC) and pancreatic cancer (PDAC).

Materials and methods
In this retrospective single-center study 73 subjects (42 CRC, 31 PDAC) with 1291 liver metastases (430 CRC, 861 PDAC) were segmented fully automated on contrast-enhanced CT images by a UNet for medical images. Radiomics features were extracted using the Python package Pyradiomics. The mean coefficient of variation (CV) was calculated patient-wise for each feature to quantify the heterogeneity. An unpaired t-test identified features with significant differences in feature variability between CRC and PDAC metastases.

Results
In both colorectal and pancreatic liver metastases, interlesional heterogeneity in imaging can be observed using quantitative imaging features. 75 second-order features were extracted to compare the varying textural characteristics. In total, 18 radiomics features showed a significant difference (p < 0.05) in their expression between the two malignancies. Out of these, 16 features showed higher levels of variability within the cohort of pancreatic metastases, which, as illustrated in a radar plot, suggests greater textural heterogeneity for this entity.

Conclusions
Radiomics has the potential to identify the interlesional heterogeneity of CT texture among individual liver metastases. In this proof-of-concept study for the quantification and comparison of imaging-related heterogeneity in liver metastases a variation in the extent of heterogeneity levels in CRC and PDAC liver metastases was shown.
Characterization of the ZCTs, a subgroup of Cys2-His2 zinc finger transcription factors regulating alkaloid biosynthesis in Catharanthus roseus
Authors: Traverse Krystyna K. F. , Breselge Samuel , Trautman Juliet G. , Dee Amanda , Wang Jie , Childs Kevin L. , Lee-Parsons Carolyn W. T. 
Published: August 2024

Abstract
Key Message
The C. roseus ZCTs are jasmonate-responsive, can be induced by CrMYC2a, and can act as significant regulators of the terpenoid indole alkaloid pathway when highly expressed.

Abstract
Catharanthus roseus is the sole known producer of the anti-cancer terpenoid indole alkaloids (TIAs), vinblastine and vincristine. While the enzymatic steps of the pathway have been elucidated, an understanding of its regulation is still emerging. The present study characterizes an important subgroup of Cys2-His2 zinc finger transcription factors known as Zinc finger CatharanthusTranscription factors (ZCTs). We identified three new ZCT members (named ZCT4, ZCT5, and ZCT6) that clustered with the putative repressors of the TIA pathway, ZCT1, ZCT2, and ZCT3. We characterized the role of these six ZCTs as potential redundant regulators of the TIA pathway, and their tissue-specific and jasmonate-responsive expression. These ZCTs share high sequence conservation in their two Cys2-His2 zinc finger domains but differ in the spacer length and sequence between these zinc fingers. The transient overexpression of ZCTs in seedlings significantly repressed the promoters of the terpenoid (pLAMT) and condensation branch (pSTR1) of the TIA pathway, consistent with that previously reported for ZCT1, ZCT2, and ZCT3. In addition, ZCTs significantly repressed and indirectly activated several promoters of the vindoline pathway (not previously studied). The ZCTs differed in their tissue-specific expression but similarly increased with jasmonate in a dosage-dependent manner (except for ZCT5). We showed significant activation of the pZCT1 and pZCT3 promoters by the de-repressed CrMYC2a, suggesting that the jasmonate-responsive expression of the ZCTs can be mediated by CrMYC2a. In summary, the C. roseus ZCTs are jasmonate-responsive, can be induced by CrMYC2a, and can act as significant regulators of the TIA pathway when highly expressed.
The early learning curve of the bipolar enucleation of the prostate: a multicenter cohort study
Authors: Ramesmayer Christian , Deininger Susanne , Pyrgidis Nikolaos , Lusuardi Lukas , Kunit Thomas , Pallauf Maximilian , Sieberer Manuela , Drerup Martin , Fontanella Paolo , Oswald David , Hermann Thomas RW , Symeonidis Evangelos N. , Memmos Dimitrios , Sountoulides Petros 
Published: August 2024

Abstract
Objectives
To evaluate the early learning curve of BipolEP (Bipolar Enucleation of the Prostate).

Subjects/patients and methods
We conducted a retrospective, multicenter analysis of surgical and functional outcomes of patients treated with BipolEp for BPO (benign prostatic obstruction). We evaluated the first 20 cases of BipolEp performed by four different surgeons in three different countries. The following baseline parameters were obtained: age, IPSS, indwelling catheter, transrectal measured prostate volume, post void residual volume (PVR) and uroflowmetry. The learning curve was analysed based on perioperative parameters and the influence of perioperative parameters was correlated with the sequence of BipolEp cases.

Results
84 BipolEp operations performed by 4 different surgeons in their early learning curve were studied. Mean prostate volume was 75 ml, 39% of cases had an indwelling catheter and the average operating time was 101 min. Three out of four surgeons performed at least 50% of successful operations according to Trifecta (complete enucleation and morcellation < 90 min., no conversion to TUR-P). Conversion rate to TURP was 11.9% in total which however was driven by a single surgeon with an almost 50% conversion rate. Mean enucleated prostate was 33.3 gr (18-54.5). Intraoperative complications and reported stress incontinence ranged from 0 to 38.1%. At six-weeks review, the IPPS improved by 12.5 (8–16) points and Qmax by 208% (109.8-266.7). Uroflowmetry outcomes correlated with the sequence of cases with a linear improvement during 20 consecutive cases (p = 0.018) in all centres. Major complications (Clavien Dindo ≥ 3) were rare (4.8%) and comparable between the groups.

Conclusion
Surgeons starting to learn BipolEp can expect to be able to achieve a linear improvement in Uroflow at the six-week postoperative evaluation after 20 consecutive cases. BipolEp can be successfully performed during the early learning curve with an acceptable rate of conversion to standard TUR-P.
A novel type-2 decision mechanism for dynamic parameter adaptation: theory and application in mathematical and structural problems
Authors: Mortazavi Ali 
Published: August 2024

AbstractMetaheuristic algorithms are stochastic-based search techniques widely used for solving different types of optimization problems. These methods mostly adjust their search behavior using pre-defined search pattern(s) regardless of the current problem specifications. Therefore, integrating them with logical auxiliary modules can significantly enhance their search efficiency by enabling them to dynamically adapt their search behavior. The present study introduces a novel decision-making approach that employs interval type-2 fuzzy logic to balance the search behavior during optimization process. The proposed approach, designed as a stand-alone module with the flexibility to be integrated into various algorithms, is incorporated into the Interactive Search Algorithm. The developed reinforced technique is named Type-2 Fuzzy Interactive Search Algorithm. Performance of the proposed method is tested on different unconstrained mathematical functions and constrained structural and mechanical optimization problems. The attained results are compared with standard ISA method and seven other metaheuristic techniques through a suite of numerical and statistical evaluations. Drawing from the obtained results, the integration of the type-2 fuzzy decision module significantly enhances the algorithm's search capability. This improvement is evident in terms of stability, accuracy, and computational cost. It is worth noting that the employed comparative performance index for the proposed method indicates improvements of 3.38, 13.09, 16.61, and 27.23 percent compared to the best solution found by the selected methods for engineering problems.
Evaluation of the effect of dextrose prolotherapy versus deep dry needling therapy for the treatment of temporomandibular joint anterior disc displacement with reduction: (a randomized controlled trial)
Authors: Gibaly Amr , Abdelmoiz Mohamed , Alghandour Ahmed Nagi 
Published: August 2024

Abstract
Objective
to compare the combined effect of Prolotherapy and Deep Dry Needling (DDN) versus DDN effect on relieving the symptoms of Temporomandibular joint (TMJ) anterior disc displacement.

Patients and methods
The clinical trial randomly allocated forty patients. The (control group) patients received four intraarticular and masseteric DDN sessions, while the (study group) patients were subjected to the exact technique followed by Prolosolution injection. The baseline preoperative measurements included Maximal interincisal opening (MIO), auscultation of the presence of clicking, and Visual Analogue Scale (VAS), which were repeated for postoperative measurements after one, two, five, and eight months.

Results
By the end of the study, all patients expressed apparent improvement in pain MIO and clicking. The inter- and intragroup comparison revealed that the pain score values of the control group after five and eight months were significantly higher than those of the study group. The study group demonstrated more significant MIO calibration than the control group, with insignificant differences between both groups regarding the presence of clicking at any time interval. The associations between clicking and VAS values, between clicking and MIO, and between VAS values and increased MIO were positive in the test group and negative in the control group.

Conclusions
Dextrose Prolotherapy and DDN were beneficial. However, Prolotherapy demonstrated more significant, sustained, and correlated long-term alleviation of symptoms and increased MIO.

Clinical relevance
The study assesses the sole effect of dextrose prolotherapy on relieving the signs of TMJ anterior disc displacement apart from the impact of the penetrating needle.

Clinical trial registration
The study was registered on www.clinicaltrials.gov (#: NCT05821985) by Ahmed Nagi Alghandour.