bluuebunny/crossref_metadata_2025 huggingface dataset:
SCYL1 deficiency: A rare entity with challenging neurological manifestations after liver transplantation
Authors: Warasnhe Khaled , Özçay Figen , Kılıç Esra , Sezer Taner , Haberal Mehmet
Published: December 2023

Background

Pediatric acute liver failure (PALF) with undetermined etiology is associated with higher liver transplantation and lower spontaneous recovery (transplant‐free) rates. The diagnostic odyssey in PALF cases hinders appropriate management and follow‐up after liver transplantation. Advances in whole exome sequencing analysis have already been successful at identifying new genetic causes of PALF.

Case Presentation

We report a 17‐year‐old girl who underwent liver transplantation at the age of 7 months due to acute liver failure and presented later with abnormal neurological manifestations, that is, gait disturbances, dysarthria, and mental retardation that led us to the diagnosis of SCYL1 deficiency.

Conclusion

PALF cases should be screened for possible underlying genetic disorders. Genetic studies and reanalysis of whole‐genome sequencing data may help identify new cases and clarify the genotype–phenotype correlation. SCYL1 deficiency should be suspected in PALF patients who develop neurological involvement after LT. Early diagnosis is vital for proper management of ALF crises in SCYL1 deficiency patients. Despite the reported favorable outcomes of ALF crises in SCYL1 deficiency, liver transplantation decision should be discussed on a case‐by‐case basis.
Prevalence and spectrum of infectious and inflammatory dermatologic conditions occurring in pediatric heart transplant patients on a predominantly mTOR‐based immune suppressive regimen: A retrospective chart review
Authors: Rydberg Ann , Ameduri Rebecca , Brown Trista , Johnson Jonathan N. , Todd Austin , Tollefson Megha M. , Anderson Katelyn
Published: December 2023

Introduction

Pediatric heart transplant patients are routinely followed in dermatology clinics due to elevated risk of cutaneous malignancy. However, transplant patients may experience other, non‐cancer‐related dermatologic conditions including skin infections, inflammatory diseases, and drug eruptions that can cause significant medical and psychosocial comorbidity.

Methods

A retrospective chart review of all pediatric heart transplant patients at Mayo Clinic Children's Center in Rochester, MN, was performed to determine the prevalence and spectrum of non‐cancer dermatologic conditions. Statistical analysis was conducted to look for associations between episodes of rejection and skin condition development.

Results

Of the 65 patients who received heart transplants under the age of 18 and were followed at Mayo Clinic, 69% (N = 45) were diagnosed with at least one skin condition between transplant and the time of most recent follow‐up. Sixty‐two percent (N = 40) of patients were diagnosed with an inflammatory skin condition (most commonly acne and atopic dermatitis), 45% (N = 29) with an infectious skin condition (most commonly warts and dermatophyte infection), and 32% (N = 21) with a drug eruption (most commonly unspecified rash and urticaria). No association was found between presence of skin disease and number of rejection episodes.

Conclusions

Non‐cancer dermatologic conditions are prevalent within pediatric heart transplant recipients and may directly impact their medical needs and quality of life. Dermatologist involvement in the care of post‐transplant pediatric patients is important, not only for cancer screening but also for diagnosis and treatment of common infectious and inflammatory skin conditions.
Development of porcine embryos cultured in media irradiated with ultraviolet‐C
Authors: Torigoe Nanaka , Nagahara Megumi , Nguyen Suong Thi , Lin Qingyi , Takebayashi Koki , Liu Bin , Aihara Mutsumi , Taniguchi Masayasu , Otoi Takeshige
Published: December 2023

Sterilization of the culture medium using ultraviolet (UV)‐C reduces the potential adverse effects of microorganisms and allows for long‐term use. In the present study, we investigated the effects of a medium directly irradiated with UV‐C prior to in vitro culture on the development and quality of porcine in vitro‐fertilized embryos and the free amino acid composition of the culture media. The culture media (porcine zygote medium [PZM‐5] and porcine blastocyst medium [PBM]) were irradiated with UV‐C at 228 and 260 nm for 1 and 3 days, respectively. Next, the culture media were irradiated with UV‐C at 228 nm for 3, 7, or 14 days. After in vitro fertilization, the embryos were cultured in the UV‐C‐irradiated media for 7 days. Free amino acid levels in culture media irradiated with 228 and 260 nm UV‐C for 3 days were analysed. The blastocyst formation rate of embryos cultured in media irradiated with 260 nm UV‐C for 3 days was significantly lower than that of embryos cultured in non‐irradiated control media. However, 228 nm UV‐C irradiation for up to 14 days did not affect blastocyst formation rates and quality in the resulting blastocysts. Moreover, 260 nm UV‐C irradiation significantly increased the taurine concentration in both culture media and decreased methionine concentration in the PBM. In conclusion, UV‐C irradiation at 228 nm before in vitro culture had no detrimental effects on embryonic development. However, 260 nm UV‐C irradiation decreased embryo development and altered the composition of free amino acids in the medium.
The tomato P69 subtilase family is involved in resistance to bacterial wilt
Authors: Zhang Weiqi , Planas‐Marquès Marc , Mazier Marianne , Šimkovicová Margarita , Rocafort Mercedes , Mantz Melissa , Huesgen Pitter F. , Takken Frank L. W. , Stintzi Annick , Schaller Andreas , Coll Nuria S. , Valls Marc
Published: December 2023

The intercellular space or apoplast constitutes the main interface in plant–pathogen interactions. Apoplastic subtilisin‐like proteases—subtilases—may play an important role in defence and they have been identified as targets of pathogen‐secreted effector proteins. Here, we characterise the role of the Solanaceae‐specific P69 subtilase family in the interaction between tomato and the vascular bacterial wilt pathogen Ralstonia solanacearum. R. solanacearum infection post‐translationally activated several tomato P69s. Among them, P69D was exclusively activated in tomato plants resistant to R. solanacearum. In vitro experiments showed that P69D activation by prodomain removal occurred in an autocatalytic and intramolecular reaction that does not rely on the residue upstream of the processing site. Importantly P69D‐deficient tomato plants were more susceptible to bacterial wilt and transient expression of P69B, D and G in Nicotiana benthamiana limited proliferation of R. solanacearum. Our study demonstrates that P69s have conserved features but diverse functions in tomato and that P69D is involved in resistance to R. solanacearum but not to other vascular pathogens like Fusarium oxysporum.
The upper bound of the harmonic mean of the Steklov eigenvalues in curved spaces
Authors: Chen Hang
Published: December 2023

Considering an ‐dimensional Riemannian manifold whose sectional curvature is bounded above by and Ricci curvature is bounded below by , we obtain an upper bound of the harmonic mean of the first nonzero Steklov eigenvalues for domains contained in . This can be viewed as certain isoperimetric inequality and generalizes the result on comparing the first nonzero Steklov eigenvalues for such domains (Li–Wang–Wu, 2020, arXiv:2003.03093).
Ultrasound unveils deep radial nerve entrapment due to elbow capsule distension in a case with rheumatoid arthritis
Authors: Wu Wei-ting , Chang Ke-Vin , Mezian Kamal , Ricci Vincenzo , Özçakar Levent
Published: December 2023

.
Ruptured primary omental ectopic pregnancy during the first trimester
Authors: Zhuang Haixia , Zang Jing , Luo Hong
Published: December 2023

.
Quantum JPEG
Authors: Roncallo Simone , Maccone Lorenzo , Macchiavello Chiara
Published: December 2023

The joint photographic expert group algorithm compresses a digital image by filtering its high spatial-frequency components. Similarly, we introduce a quantum algorithm that uses the quantum Fourier transform to discard the high spatial-frequency qubits of an image, downsampling it to a lower resolution. This allows one to capture, compress, and send images even with limited quantum resources for storage and communication. We show under which conditions this protocol is advantageous with respect to its classical counterpart.
Pupillometry reveals differences in cognitive demands of listening to face mask-attenuated speech
Authors: Carraturo Sita , McLaughlin Drew J. , Peelle Jonathan E. , Van Engen Kristin J.
Published: December 2023

Face masks offer essential protection but also interfere with speech communication. Here, audio-only sentences spoken through four types of masks were presented in noise to young adult listeners. Pupil dilation (an index of cognitive demand), intelligibility, and subjective effort and performance ratings were collected. Dilation increased in response to each mask relative to the no-mask condition and differed significantly where acoustic attenuation was most prominent. These results suggest that the acoustic impact of the mask drives not only the intelligibility of speech, but also the cognitive demands of listening. Subjective effort ratings reflected the same trends as the pupil data.
Lateral Prefrontal Cortex Activation Induced by Proficient Skills During Rhythm Action Game
Authors: Oyama Takashi , Chiba Fumiya , Ito Teruaki
Published: December 2023

The activity of the prefrontal cortex (PFC) during rhythm action game was measured using near-infrared spectroscopy. Participants were classified into two groups (Skilled and Novice) based on their skill in the game, and three levels of difficulty of the game (easy, medium, and difficult) were imposed on the participants as experimental tasks. Changes in oxygenated hemoglobin in the PFC were measured using near-infrared spectroscopy, and the effect of playing the game on the activation/deactivation of the PFC was examined. Activation in the lateral PFC was observed in the Skilled group when participants played on the medium and difficult levels, whereas it was not observed in the Novice group when participants played on any level. Deactivation of the medial PFC was also observed in both groups. The observed activity of some regions of the PFC suggests differences in cerebral processes as a function of the rhythm action game.
Hopf PBW-deformations of a new type quantum group Uq(𝔰𝔩2∗) and deformed preprojective algebras
Authors: Xu Yongjun , Chen Jialei
Published: December 2023

We classify all the Hopf PBW-deformations of a new type quantum group [Formula: see text] from which the classical Drinfeld–Jimbo quantum group [Formula: see text] can arise as an almost unique nontrivial one. Different from the [Formula: see text] case, the category of finite-dimensional [Formula: see text]-modules is non-semisimple. We establish a block decomposition theorem for the category [Formula: see text] of finite-dimensional weight modules of [Formula: see text]. On the level of tensor category, we show that [Formula: see text] (respectively, the category [Formula: see text] of finite-dimensional [Formula: see text]-modules) can be realized via (respectively, deformed) preprojective algebras of Dynkin type [Formula: see text].
Logistic oscillator model for gross domestic product
Authors: Vallejo-Castañeda E. , Quezada-Téllez L. A. , Gutiérrez-Corona J. N. , Torres-Mendoza A. , Islas-Moreno C.
Published: December 2023

In this paper, a logistic oscillator model is presented to analyze the economic cycles of five selected economies: Mexico, Brazil, Canada, China and the United States. This selection was made taking as reference their level of economic development and their geographical position. The proposed model is an extension of the production Phillip’s model (1959), which considers autonomous expenses dependent on time. It should be noted that the logistic oscillator combines the dynamics of a forced damped oscillator, whose restoring force incorporates Verhulst’s logistic equation. The data used are the production levels of The Organization for Economic Cooperation and Development (OECD) at nominal prices of the mentioned nations. The results obtained show terms of no economic damping with explosive tendency. China shows greater nondamping with an explosive trend, as does Mexico. The countries with the greatest oscillatory behavior are Brazil and Canada. Additionally, those showing exponential dynamics are China and the USA. The fitting of the logistic oscillator to the data is significant given the level of the determination coefficient. Therefore, the results indicate that the model can be useful in formulating economic policy criteria, since it allows one to predict the evolution of the economic cycle in the future.
Quantum wave representation of dissipative fluids
Authors: Salasnich Luca , Succi Sauro , Tiribocchi Adriano
Published: December 2023

We present a mapping between a Schrödinger equation with a shifted nonlinear potential and the Navier–Stokes equation. Following a generalization of the Madelung transformations, we show that the inclusion of the Bohm quantum potential plus the laplacian of the phase field in the nonlinear term leads to continuity and momentum equations for a dissipative incompressible Navier–Stokes fluid. An alternative solution, built using a complex quantum diffusion, is also discussed. The present models may capture dissipative effects in quantum fluids, such as Bose–Einstein condensates, as well as facilitate the formulation of quantum algorithms for classical dissipative fluids.
Numerical analysis of linear wave behavior around the moving thin plate in the surging direction in intermediate water
Authors: Singh Deepak Kumar , Singh Akhileshwar , Ranjan Sanjeev
Published: December 2023

The objective of this project is to develop a numerical approach that simulates the behavior of sloshing water with linear free surface waves on a sloping beach inside a 2D rectangular tank. The current computational approach represents the first stage in the development of a precise modeling framework for wave energy converters (WEC). The 2D tank model was generated using the ANSYS FLUENT program, with the Navier–Stokes equations being discretized on a regular structured grid employing the finite volume method (FVM). The validity of the model has been shown for linear sloshing conditions. Moreover, an examination is conducted to analyze the impact of tank flexibility on the phenomenon of liquid sloshing. The simulation was conducted under seven different wave steepness conditions. The primary objective of this study was to investigate the phenomenon of fluid–structure interaction in the context of movable plates. The investigation of the flow domain encompasses a crucial study on the output power of the plate WEC, specifically focusing on scenarios where plate heights remain constant and the motion of fluid streamlines around the plate is considered. The primary objective of this study is to investigate the relationship between drag force and wave steepness. This observation illustrates a positive correlation between wave steepness and drag force. The revolutionary structure of the ocean buildings may provide a novel and exact method for estimating the wave strength. The usefulness of WEC lies in its capacity to interact with water waves and harness renewable energy from the ocean. This study introduces a novel computational fluid dynamics (CFD) methodology that effectively captures the dynamic interaction between a solid object and a two-phase flow. The examination of the impact of wave steepness on the dynamics of a movable thin plate in intermediate water is a fresh and noteworthy subject of inquiry. This study has substantial importance as a valuable resource for the development of practical systems and possesses direct relevance in the design of WEC for the purpose of harnessing oceanic energy.
Mathematical modeling of tumor growth as a random process in the presence of interaction between tumor cells and normal cells
Authors: Beigmohammadi Fatemeh , Khorrami Mohammad , Masoudi Amir Ali , Fatollahi Amir H.
Published: December 2023

A mathematical model of tumor growth as a random process is studied, in which there is an interaction between tumor cells and normal cells. A set of two coupled stochastic differential equations defines the dynamics of tumor cells and normal cells. The evolution contains driven growth, therapy, and Gaussian white noises terms. The corresponding Fokker–Planck equation is used to study the large-time behavior of the system. Specifically, for periodic therapy terms, the ratio of the probability of large tumor cells number to the probability of small tumor cells number is investigated. It is seen that increasing the interaction between the tumor cells and normal cells decreases this ratio.
DOES STRICTER ENVIRONMENTAL REGULATION PROMOTE PRODUCTIVITY? EVIDENCE FROM THE RISING OF POLLUTION DISCHARGE FEE IN CHINA
Authors: LI WEIBING , CHEN NAN
Published: December 2023

Environmental pollution has become a serious problem in the past decades, especially in developing countries with rapid economic growth. As the world’s largest developing country with incredible speed of development, China provides a unique perspective to investigate the productivity effect of environmental regulations. The main finding of this study supports the Porter hypothesis, that stricter environmental regulations significantly promote productivity in China. We also explore three potential impact channels leading to this productivity improvement, including rising technical innovation, optimizing financial management and reducing resource misallocation. The latter two mechanisms are rarely discussed in relevant studies. However, these two additional effects are of great importance since they can help establish a more comprehensive market environment and a more optimized industrial structure, especially in developing countries. Overall, this study proves that China has achieved dual goals of protecting the environment and economic growth by implementing stricter environmental regulations, which is worthy of reference for other developing countries facing similar problems.
An Intelligent Apple Identification Method via the Collaboration of YOLOv5 Algorithm and Fast-Guided Filter Theory
Authors: Zhang Eryue , Zhang He
Published: December 2023

Apple-picking robot can promote the development of smart agriculture, and accurate object recognition in complex natural environments using deep learning algorithms is critical. However, research has shown that changes in illumination and object occlusion remain significant challenges for recognition. In order to improve the accuracy of apple apple-picking robot’s identification and positioning of apples in natural environment, a method using YOLOv5 (You Only Look Once, YOLO) combined with fast-guided filter is proposed. By introducing a fast-guided filtering module, the ability to extract image features is improved, and the problem of inaccurate occlusion targets and edge detection is solved; [Formula: see text]-means clustering algorithm is introduced in improving YOLOv5, which can realize automatic adjustment of image size and step size; BiFPN structure is introduced in Neck network to add weighted feature fusion to highlight the detailed features. The results show that the algorithm proposed in this paper can well remove noise information such as occlusion edge blurring in apple images in a natural light environment. In the real orchard environment, the apple recognition accuracy rate reached 97.8%, the recall rate was 97.3% and the recognition rate was about 26.84[Formula: see text]fps. The results show that this research based on YOLOv5 and fast-guided filtering can realize fast and accurate identification of apple fruits in natural environment, and meet the practical application requirements of real-time target detection.
On the structure of finitely presented Bestvina–Brady groups
Authors: Deshpande Priyavrat , Roy Mallika
Published: December 2023

Right-angled Artin groups and their subgroups are of great interest because of their geometric, combinatorial and algorithmic properties. It is convenient to define these groups using finite simplicial graphs. The isomorphism type of the group is uniquely determined by the graph. Moreover, many structural properties of right-angled Artin groups can be expressed in terms of their defining graph.

In this paper, we address the question of understanding the structure of a class of subgroups of right-angled Artin groups in terms of the graph. Bestvina and Brady, in their seminal work, studied these subgroups (now called Bestvina–Brady groups or Artin kernels) from a finiteness conditions viewpoint. Unlike the right-angled Artin groups the isomorphism type of Bestvina–Brady groups is not uniquely determined by the defining graph. We prove that certain finitely presented Bestvina–Brady groups can be expressed as an iterated amalgamated product. Moreover, we show that this amalgamated product can be read off from the graph defining the ambient right-angled Artin group.
Fraction constraint in partial wave analysis
Authors: Dong Xiang , Pan Chu-Cheng , Sun Yu-Chang , Cheng Ao-Yan , Wang Ao-Bo , Cai Hao , Zhu Kai
Published: December 2023

To resolve the nonconvex optimization problem in partial wave analysis, this paper introduces a novel approach that incorporates fraction constraints into the likelihood function. This method offers significant improvements in the efficiency of pole searching within partial wave analysis.
Curvature of new Kähler metrics on the total space of Griffiths negative vector bundle and quasi-Fuchsian space
Authors: Kim Inkang , Wan Xueyuan , Zhang Genkai
Published: December 2023

We study Kähler metrics on the total space of Griffiths negative holomorphic vector bundles over Kähler manifolds. As an application, we construct mapping class group invariant Kähler metrics on [Formula: see text], the holomorphic tangent bundle of Teichmüller space of a closed surface [Formula: see text]. Consequently,we obtain a new mapping class group invariant Kähler metric on the quasi-Fuchsian space [Formula: see text], which extends the Weil–Petersson metric on the Teichmüller space [Formula: see text]. We also calculate its curvature and prove non-positivity for the curvature along the tautological directions.
Learning with centered reproducing kernels
Authors: Wang Chendi , Guo Xin , Wu Qiang
Published: December 2023

Kernel-based learning algorithms have been extensively studied over the past two decades for their successful applications in scientific research and industrial problem-solving. In classical kernel methods, such as kernel ridge regression and support vector machines, an unregularized offset term naturally appears. While its importance can be defended in some situations, it is arguable in others. However, it is commonly agreed that the offset term introduces essential challenges to the optimization and theoretical analysis of the algorithms. In this paper, we demonstrate that Kernel Ridge Regression (KRR) with an offset is closely connected to regularization schemes involving centered reproducing kernels. With the aid of this connection and the theory of centered reproducing kernels, we will establish generalization error bounds for KRR with an offset. These bounds indicate that the algorithm can achieve minimax optimal rates.
Remarks on the normal hyperbolic mean curvature flow
Authors: Cheng Qian , He Chun-Lei , Huang Shou-Jun
Published: December 2023

In this paper, we investigate the various aspects of normal hyperbolic mean curvature flow by LeFloch and Smoczyk. It is remarkable that the equation admits the null condition in three-dimensional case and only satisfies the first null condition when [Formula: see text]. Based on the interesting findings, we can obtain the results of global existence of smooth solutions, as well as the stability of hyperplanes under this flow when [Formula: see text], which relates to the famous Bernstein theorem. Some explicit solutions for this flow have been also derived. It should be emphasized that the null structures of this hyperbolic mean curvature flow have not been found before.
Decay property for symmetric hyperbolic system with memory-type relaxation
Authors: Mori Naofumi , Okada Mari , Kawashima Shuichi
Published: December 2023

We consider the decay property for a symmetric hyperbolic system with memory-type relaxation. We assume that the memory kernel is a strongly positive definite kernel and prove that the system has the decay property of regularity-loss type. Our proof is based on a technical energy method in the Fourier space which makes use of the structural condition (called Craftsmanship condition or Condition (K)) and the modified properties of strongly positive definite kernels.
Gold Nanoparticle Sensitized Zinc Oxide Nanorods-Based Nitric Oxide Gas Sensors with High Sensitivity, Selectivity and Low Detection Limit
Authors: Patra Dulal Chandra , Dash Anabadya , Deka Nitumoni , Mondal Suvra Prakash
Published: December 2023

Development of a low-cost hand-held nitric oxide (NO) sensor with high selectivity, sensitivity and low detection limit is attractive for environment and health monitoring applications. NO gas sensor was fabricated using hydrothermally grown ZnO nanorods (ZnO NRs). The sensing performance like sensor response, sensitivity, detection limit has been improved significantly by attaching gold nanoparticles (Au NPs) with ZnO NRs. Au NPs were synthesized by chemical reduction method from gold chloride trihydrate. The attachment of Au NPs on nanorods was done by spin coating method. The maximum sensor response and sensitivity were obtained at [Formula: see text]C operating temperature with [Formula: see text]l gold loading. The interference study of the sensor was carried out with acetone, ammonia, carbon monoxide, hydrogen peroxide and propanol. It demonstrated high selectivity towards the interfering gases and high humid condition. Au-decorated ZnO NRs exhibited very low detection limit [Formula: see text][Formula: see text]ppb, which is attractive for biomedical applications.
Global analysis of a network-based SIR epidemic model with a saturated treatment function
Authors: Wei Xiaodan
Published: December 2023

In this paper, we study a network-based SIR epidemic model with a saturated treatment function in which a parameter [Formula: see text] is introduced to measure the extent of the effect of the infected being delayed for treatment. Our aim is to present a global analysis and to investigate how the parameter [Formula: see text] affects the spreading of diseases. Our main results are as follows: (1) In the case of the threshold value [Formula: see text], there exist two values of [Formula: see text]: [Formula: see text] and [Formula: see text], such that the disease-free equilibrium is globally asymptotically stable when [Formula: see text] and multiple endemic equilibria exist when [Formula: see text]. This means that the parameter [Formula: see text] has an essential influence on the spreading of the disease. (2) In the case of the threshold value [Formula: see text], if the model has only one endemic equilibrium, then the unique endemic equilibrium is globally attractive. In this case, it is also proved that if [Formula: see text], then the endemic equilibrium has only one, so is globally attractive. In addition, numerical simulation is performed to illustrate our theoretical results.
Supercritical Hopf bifurcations in the stage-structured model of housefly populations
Authors: Zhang Xiangming , Hou Mengmeng , Huo Hai-Feng
Published: December 2023

Insect populations, which are diverse and widespread, provide a principal area of utilization of the stage-structured modeling approach. In this paper, housefly populations incorporating a stage-structured model are investigated theoretically and graphically. First, stability charts and rightmost characteristic roots of the positive equilibrium are elucidated analytically and numerically. Furthermore, the Hopf bifurcation at the positive equilibrium is derived employing geometric stability switch criterion. Second, the properties of Hopf bifurcation are determined using the center manifold theorem and by reducing the equation to the Poincaré normal form. Finally, the correctness of the theoretical derivation is confirmed using a numerical simulation based on specific parameter values. Our results show that with an increase in delay [Formula: see text], the unique positive equilibrium may undergo two stability switches: from stable to unstable, and from unstable to stable. Interestingly, the characteristic equation has pure imaginary roots at the second pair and subsequent critical values. However, Hopf bifurcation theorem is not satisfied because all other characteristic roots of the characteristic equation at these critical values do not have strictly negative real parts, except the pure imaginary roots. We also simulate the unstable periodic solutions at the second pair of critical values through a bifurcation diagram. Therefore, a pair of supercritical Hopf bifurcations appear around the positive equilibrium of the housefly population stage-structured model.
On some important characterizations of Lorentz para-Kenmotsu manifolds on some special curvature tensors
Authors: Mert Tuğba , Atçeken Mehmet
Published: December 2023

In this paper, some properties of Lorentz para-Kenmotsu manifolds are studied using specified curvature tensors. The Lorentz para-Kenmotsu manifold is investigated in terms of the curvature tensors [Formula: see text] and [Formula: see text]. Initially, the tensor-based characterization of semisymmetric Lorentz para-Kenmotsu manifolds is studied. Subsequently, we consider the Lorentzian para-Kenmotsu manifold, which admits almost [Formula: see text]-Ricci solitons via these curvature tensors. According to the [Formula: see text] and [Formula: see text] curvature tensors, Ricci pseudosymmetry notions of Lorentzian para-Kenmotsu manifolds accepting [Formula: see text]-Ricci soliton have been developed. Following that, required conditions for the Lorentzian para-Kenmotsu manifold, admitting [Formula: see text]-Ricci soliton to be Ricci semisymmetric, are presented based on the curvature tensors chosen. Further, various characterizations are provided, and classifications are made under certain conditions. Finally, the characterizations of the invariant submanifolds of Lorentz para-Kenmotsu manifold on the [Formula: see text] and [Formula: see text] curvature tensors are investigated. We obtained the necessary and sufficient conditions for an invariant submanifold of a para-Kenmotsu to be [Formula: see text] and [Formula: see text] pseudoparallel.
INVESTIGATING THE IMPACT OF INFORMATION FEEDBACK ON RESIDENTS’ ENERGY-SAVING BEHAVIOR IN THE HEATING SECTOR
Authors: NIE HONGGUANG , MU FENGJIAO , FAN YING
Published: December 2023

Global fossil energy consumption is a significant source of carbon dioxide emissions and a major cause of global climate change. Heat consumption in the residential sector is an important part of this consumption. Based on reinforcement theory, this study analyzed the influence mechanism of information feedback on the residents’ energy-saving behaviors and applied the survey data from 1248 households in three Western European countries to analyze the impact of heat consumption information feedback on four typical heat-saving behaviors of residents. Finally, it applied the probit model to measure the quantitative effect of information feedback on the heat-saving behavior. Four heat-saving behaviors were considered: “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”. The empirical results showed that heat consumption information feedback has a significant impact on residents’ heat-saving behavior. After adding the controlling variables, such as demographic variables, willingness to pay for greenness, environmental concern and environmental belief, the estimated results changed slightly, but the estimates of the study are still significant. According to the estimates, residents who can obtain the heat consumption information feedback timely were 9.3%, 5.2%, 5.9% and 4.3% more likely than residents who can’t obtain the heat consumption information feedback timely to adopt the heat-saving behaviors of “improving house insulation”, “setting the thermostat to 20°C or below”, “turning the heat down at night” and “closing the windows when the heating is running”.
Neutrino physics and dark matter search with SHiP at CERN
Authors: Di Crescenzo A.
Published: December 2023

SHiP (Search for Hidden Particles) is a new general purpose fixed target facility, proposed at the CERN SPS accelerator. In its initial phase the 400 GeV protons beam will be dumped on a heavy target with the aim of integrating [Formula: see text] pot in five years. A dedicated detector downstream the target will allow to probe a variety of models with the light long-lived exotic particles and masses below O(10) GeV/c2. The beam dump is also a copious source of neutrinos and in particular it is an ideal source of tau neutrinos, the less known particle in the Standard Model. We report the physics potential of such an experiment. We also describe an ancillary measurement of the charm cross-section carried out in July 2018.
Spin Density Matrix Elements in exclusive vector meson muoproduction at COMPASS
Authors: Sandacz Andrzej
Published: December 2023

We present results on Spin Density Matrix Elements (SDMEs) measured in hard exclusive muoproduction of [Formula: see text] and [Formula: see text] mesons on the proton at COMPASS using 160 GeV/[Formula: see text] polarized [Formula: see text] and [Formula: see text] beams scattering off a liquid hydrogen target. The measurements cover the range 5 GeV/[Formula: see text] [Formula: see text] 17 GeV/[Formula: see text], 1.0 (GeV/[Formula: see text])2 [Formula: see text] 10.0 (GeV/[Formula: see text])2 and 0.01 (GeV/[Formula: see text])2 [Formula: see text] 0.5 (GeV/[Formula: see text])2. Here, [Formula: see text] denotes the virtuality of the exchanged photon, [Formula: see text] the mass of the final hadronic system and [Formula: see text] the transverse momentum of the vector meson with respect to the virtual-photon direction. The measured non-zero SDMEs for transitions of transversely polarized virtual photons to longitudinally polarized vector mesons ([Formula: see text]) indicate a violation of [Formula: see text]-channel helicity conservation. Additionally, for [Formula: see text] production we observe a dominant contribution of natural-parity-exchange transitions and a small contribution of unnatural-parity-exchange transitions. On the contrary, the contribution of unnatural-parity-exchange for [Formula: see text] production is significant and it decreases with increasing [Formula: see text], being still non-negligible at the largest [Formula: see text] values accessible at COMPASS. The results provide an important input for modeling Generalized Parton Distribution (GPDs).
T2K status and plans
Authors: Jesús-Valls César
Published: December 2023

T2K is an accelerator-based neutrino experiment providing world-leading measurements of the parameters governing neutrino oscillations. T2K data enabled the first 3 [Formula: see text] exclusion for some intervals of the CP-violating phase [Formula: see text] and precision measurements of the atmospheric parameters [Formula: see text], [Formula: see text]. T2K uses a beam of muon neutrinos and antineutrinos produced at the Japan Proton Accelerator Research Centre (J-PARC) and a series of detectors located at J-PARC and in Kamioka, 295km away, to measure oscillations from neutrino event rates and spectra. The T2K beam will be upgraded with increased power in 2022 and, combined with an upgrade of the ND280 near detector, will usher in a new important physics period for T2K. In preparation for the new physics run, the T2K collaboration is working on an updated oscillation analysis to improve the control of systematic uncertainties. The status of the new analysis developments and the plan to deploy the beam and ND280 upgrade are reviewed.
Recent SND experiment results on e+e− annihilation to hadrons
Authors: Korol A. A. , Achasov M. N. , Barnyakov A. Yu. , Beloborodov K. I. , Berdyugin A. V. , Bogdanchikov A. G. , Botov A. A. , Dimova T. V. , Druzhinin V. P. , Kardapoltsev L. V. , Kharlamov A. G. , Kovrizhin D. P. , Kupich A. S. , Melnikova N. A. , Obrazovsky A. E. , Pakhtusova E. V. , Pugachev K. V. , Serednyakov S. I. , Shtol D. A. , Silagadze Z. K. , Surin I. K. , Usov Yu. V. , Zabin V. N.
Published: December 2023

We review here recent results on [Formula: see text] annihilation to hadrons below 2 GeV obtained with the SND detector at the VEPP-2000 collider. Among others we report cross sections and dynamics properties for the [Formula: see text], [Formula: see text], [Formula: see text], and [Formula: see text].
Investigation of Geoacoustic Parameters of Fine-Grained Sediment in the South China Sea Using Sequential Inversion
Authors: Hao Wang , Duan Rui , Yang Kunde
Published: December 2023

Broadband signals interacting with deep ocean fine-grained sediment are crucial in shaping the acoustic field of the geometric shadow zone. These signals travel through both the seabed reflected path and the refracted path. In this article, a sequential inversion scheme is employed to estimate the geoacoustic parameters in abyssal clay sediments. This inversion is based on seabed reflection loss data at different frequencies, as well as travel time difference data between refractions and reflections obtained from the South China Sea Experiment in 2018. Depth-dependent profiles of geoacoustic parameters are formulated using Bernstein polynomials. The polynomial coefficients and their posterior probability density functions are efficiently estimated using the adaptive simplex simulated annealing method and an approximate variational inference technique known as Variational Bayesian Monte Carlo. This technique demonstrates superior efficiency and comparable accuracy to Markov Chain Monte Carlo sampling. The inversion results indicate that the abyssal clay sediments in this area exhibit a positive sound speed gradient and relatively low attenuation, both with high probabilities. The deduced seabed model accurately predicts the transmission loss, aligning well with the experimental data.
Report on the 11th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems - SESoS@ICSE 2023
Authors: Santos Rodrigo , Antonino Pablo , Bertolino Antonia , Bae Doo-Hwan
Published: December 2023

This article reports on the results of the 11th ACM/IEEE International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2023) in which researchers and practitioners discussed ideas and experiences on the research and practice for the development and evolution of complex softwareintensive systems, more specifically systems-of-systems (SoS) and software ecosystems (SECO). SESoS 2023 was co-located with the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023). After a decade running this workshop, the SESoS community is advancing on how to cope with the different dimensions that should be considered in the engineering of those classes of systems (i.e. technological, organizational, and social). In addition, benchmarks for conducting research on the areas as well as approaches for investigating emerging domains (smart ecosystems) and non-functional requirements on those systems were also pointed out as relevant challenges.
Detection and Identification of Non-cooperative UAV Using a COTS mmWave Radar
Authors: He Yuan , Zhang Jia , Xi Rui , Na Xin , Sun Yimiao , Li Beibei
Published: December 2023

Small Unmanned Aerial Vehicles (UAVs) are becoming potential threats to security-sensitive areas and personal privacy. A UAV can shoot photos at height, but how to detect such an uninvited intruder is an open problem. This article presents mmHawkeye, a passive approach for non-cooperative UAV detection and identification with a commercial off-the-shelf millimeter wave (mmWave) radar. mmHawkeye does not require prior knowledge of the type, motions, and flight trajectory of the UAV, while exploiting the signal feature induced by the UAV’s periodic micro-motion (PMM) for long-range accurate detection. The design is therefore effective in dealing with low signal-to-noise ratio and uncertain reflected signals from the UAV. After analyzing the theoretical model of the PMM feature, mmHawkeye can further track the UAV’s position containing range, azimuth and altitude angle with dynamic programming and particle filtering and then identify it with a Long Short-Term Memory–based detector. We implement mmHawkeye on a commercial mmWave radar and evaluate its performance under varied settings. The experimental results show that mmHawkeye has a detection accuracy of 95.8% and can realize detection at a range up to 80 m.
Solving Nonlinear Fractional PDEs with Applications to Physics and Engineering Using the Laplace Residual Power Series Method
Authors: Ali Khalid K. , Abd Elbary F. E. , Abdel-Wahed Mohamed S. , Elsisy M. A. , Semary Mourad S.
Published: December 2023

The Laplace residual power series (LRPS) method uses the Caputo fractional derivative definition to solve nonlinear fractional partial differential equations. This technique has been applied successfully to solve equations such as the fractional Kuramoto–Sivashinsky equation (FKSE) and the fractional generalized regularized long wave equation (GRLWE). By transforming the equation into the Laplace domain and replacing fractional derivatives with integer derivatives, the LRPS method can solve the resulting equation using a power series expansion. The resulting solution is accurate and convergent, as demonstrated in this paper by comparing it with other analytical methods. The LRPS approach offers both computational efficiency and solution accuracy, making it an effective technique for solving nonlinear fractional partial differential equations (NFPDEs). The results are presented in the form of graphs for various values of the order of the fractional derivative and time, and the essential objective is to reduce computation effort.
Sclerosing Encapsulating Peritonitis: Solving the Diagnosis Challenge of a Rare Entity
Authors: Rahali Anwar , Aboulfath El Mehdi , Njoumi Noureddine , Rebbani Mohammed , El Brahmi Yasser , Elfahssi Mohammed , Elhjouji Abderrahman , Zentar Aziz , Ait Ali Abdelmounaim
Published: December 2023

Sclerosing encapsulating peritonitis (SEP) is an unusual fibroinflammatory disease of the peritoneum marked by the development of a fibrous membrane enveloping generally the small intestines. The knowledge around this subject is not completely understood. And the etiology can be either idiopathic or secondary to several diseases, treatments, and/or medications. We present a case of a 52-year-old man suffering from atypical clinical symptoms including recurrent abdominal ascites and intestinal obstruction. An abdominal computed tomography showed findings typical of SEP. Therefore, the patient benefited from exploratory laparotomy, which confirmed the diagnosis of idiopathic SEP. Postoperatively, he again had an episode of bowel obstruction, but this was controlled with steroids. Diagnosis of SEP is a real challenge to surgeons, gastroenterologists, and radiologists. And imagery is very helpful to make the diagnosis. Consequently, it is imperative that all hospital practitioners should distinguish between this lesion and other etiology of acute peritonitis.
ZSM-5/γ-Al2O3 Catalysts for Methanol Dehydration: Tuning Pore Structure by Carbon Nanotubes as a Pore-Forming Agent
Authors: Pokatilov Ivan , Gritsenko Valentina , Zhokh Alexey , Strizhak Peter
Published: December 2023

ZSM-5/γ-Al2O3 composites are synthesized using multiwall carbon nanotubes as a pore-forming agent. The as-prepared composites are characterized by nitrogen adsorption, X-ray diffraction, X-ray fluorescence, TEM, SEM, FT-IR spectroscopy, and pyridine adsorption. The as-prepared composites exhibit significantly different physicochemical properties depending on the synthesis technique. The catalytic activity of the as-prepared composites toward methanol dehydration to dimethyl ether is investigated. The as-prepared composites demonstrate the methanol conversion close to the equilibrium one with 100% selectivity toward dimethyl ether. The kinetic parameters of the process are measured highlighting the effect of the textural and acidic properties of the composites on their catalytic performance.
Stabilization and Discretization of the Coupled Heat and Wave Equations
Authors: Yang Kun-Yi , Zhang Xu
Published: December 2023

In this paper, we consider the stabilization of the coupled heat and wave equations under the static feedback or the dynamic feedback. Moreover, we make the coupled systems discretized by using the finite‐volume approach, and then we consider the stabilized properties of the discrete systems. First, for the coupled system under the static feedback, it is shown that the system is exponentially stable by using the Lyapunov method, and then the corresponding discrete system can be shown to be exponentially stable by constucting the discretized Lyapunov function. Second, for the coupled system under the dynamic feedback, we also show that both of the system and its discrete scheme are exponentially stable. Third, numerical simulations are given to show the effectiveness of the stable controllers.
Multi-MicroRNA Analysis Can Improve the Diagnostic Performance of Mammography in Determining Breast Cancer Risk
Authors: Song Ji-Eun , Jang Ji Young , Kang Kyung Nam , Jung Ji Soo , Kim Chul Woo , Kim Ah Sol
Published: December 2023

The objective of this study was to determine whether multi-microRNA analysis using a combination of four microRNA biomarkers (miR-1246, 202, 21, and 219B) could improve the diagnostic performance of mammography in determining breast cancer risk by age group (under 50 vs. over 50) and distinguish breast cancer from benign breast diseases and other cancers (thyroid, colon, stomach, lung, liver, and cervix cancers). To verify breast cancer classification performance of the four miRNA biomarkers and whether the model providing breast cancer risk score could distinguish between benign breast disease and other cancers, the model was verified using nonlinear support vector machine (SVM) and generalized linear model (GLM) and age and four miRNA qRT-PCR analysis values (dCt) were input to these models. Breast cancer risk scores for each Breast Imaging-Reporting and Data System (BI-RADS) category in multi-microRNA analysis were analyzed to examine the correlation between breast cancer risk scores and mammography categories. We generated two models using two classification algorithms, SVM and GLM, with a combination of four miRNA biomarkers showing high performance and sensitivities of 84.5% and 82.1%, a specificity of 85%, and areas under the curve (AUCs) of 0.967 and 0.965, respectively, which showed consistent performance across all stages of breast cancer and patient ages. The results of this study showed that this multi-microRNA analysis using the four miRNA biomarkers was effective in classifying breast cancer in patients under the age of 50, which is challenging to accurately diagnose. In addition, breast cancer and benign breast diseases can be classified, showing the possibility of helping with diagnosis by mammography. Verification of the performance of the four miRNA biomarkers confirmed that multi-microRNA analysis could be used as a new breast cancer screening aid to improve the accuracy of mammography. However, many factors must be considered for clinical use. Further validation with an appropriate screening population in large clinical trials is required. This trial is registered with (KNUCH 2022-04-036).
Table S3 from SHP2 Inhibition with TNO155 Increases Efficacy and Overcomes Resistance of ALK Inhibitors in Neuroblastoma
Authors: Valencia-Sama Ivette , Kee Lynn , Christopher Gabriella , Ohh Michael , Layeghifard Mehdi , Shlien Adam , Hayes Madeline N. , Irwin Meredith S.
Published: December 2023

Table S3. Genetic aberrations detected in Kelly-LR cell subpopulation.