bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensuring feasible trajectories for the encapsulated motion control of automated vehicles
Authors: Homolla Tobias , Molinos Eduardo , Wang Lingguang , Winner Hermann , Stiller Christoph , Peters Steven
Published: July 2023

In this paper, it is investigated how the planning of physically feasible trajectories for automated vehicles can be ensured in a motion control architecture with separated planning and control stages. Within such an architecture, the planning stage shall not be adapted to a specific vehicle during development to assure reusability of developed algorithms. It is shown, that the planning stage does not need any information about downstream modules such as the controller and the actuators, as long as certain physical execution limits are considered during trajectory planning. For these constraints, a feedback loop from the control to the planning stage is proposed that ensures feasible trajectories, as long as these limits are accurately estimated. An additional escalation mechanism is developed to prevent safety critical behavior of the vehicle if errors are made during estimation of the relevant limits. The proposed approach hence encapsulates information within the vehicle and enables a greater separation of planning and execution stages as well as the use of different planning algorithms with a common controller. It can therefore raise the reusability of developed functions and reduce the necessary customization of algorithms to a specific vehicle architecture.
Predicting Station-level Peak Hour Ridership of Metro Considering the Peak Deviation Coefficient
Authors: Yu Lijie , We Jie
Published: July 2023

Subway station-level peak hour ridership (SPR) is a crucial input parameter for multiple applications, including the planning, design, construction, and operation of stations. However, traditional SPR estimation techniques may produce biased results. A unified peak hour factor (PHF) extracted from the line level is generally set for all attributed stations, which ignores the possible peak deviation that arises between the station and line and the wide variation of PHFs in practice. This study presents a comprehensive and refined estimation framework for SPR that accommodates the peak deviation context by introducing the peak deviation coefficient (PDC). Moreover, the estimation of the PDC and PHF variability is improved by constructing spatial regression based relationship models. The empirical results show that the proposed approach exhibits wider applicability and higher prediction precision across all types of peak periods considered as compared to conventional methods (i.e., MAPE decreases of 0.115-0.351). The findings of this study demonstrate the importance of the consideration of the peak deviation scenario and the spatial dependency in SPR estimation to achieve better decision-making. Moreover, the underlying influencing mechanism of the PHF and PDC at distinct peak periods is further revealed using the spatial model. This provides critical theoretical references and policy implications to prudently deploy land-use resources to balance the travel demand between peak and off-peak periods, and thus to enhance the line operation efficiency.
Arbitrary repetition-rate control of periodic optical pulse trains based on a phase modulator cascaded with an optical tapped delay line structure
Authors: Xinhang Wei , Hongqian Mu , Muguang Wang , Xiangshuai Guan
Published: July 2023

We propose a novel method to achieve arbitrary repetition-rate control of periodic optical pulse train. The scheme is based on the combination of a phase modulator (PM) and an optical tapped delay line (OTDL) structure. The PM is utilized to adjust the start point of input pulse train on the Talbot carpet. We theoretically derive the corresponding relation between the dispersion amount and the OTDL structure in performing temporal Talbot effect. According to the relation, the OTDL structure is designed to provide equivalent dispersion amount that repetition-rate multiplication or division requires. Through proper selection of the start point and destination on the Talbot carpet, we can realize arbitrary control of optical pulse trains’ repetition-rate, including integer repetition-rate multiplication, fractional repetition-rate multiplication, integer repetition-rate division and fractional repetition-rate division. Several numerical simulations have been performed and the results are in accordance with theoretical analysis. The effects of delay deviation and phase deviation of the OTDL structure on the output optical pulse train have also been discussed.
Cryo-EM reveals variation in structural motifs within animal SARS-related coronavirus spike proteins
Authors: Bostina Mihnea , Hills Francesca , Eruera Alice-Roza , Jorge Fátima , Easingwood Richard , Hodgkinson-Bean James , Brown Simon , Bouwer James , Burga Laura
Published: July 2023

SARS-CoV-2 is the third known coronavirus (CoV) that has crossed the animal-human barrier in the last two decades. However, little structural information exists related to the close genetic species within the SARS-related coronaviruses. Here, we present three novel SARS-related CoV spike protein structures solved by single particle cryo-electron microscopy analysis derived from bat (SL-CoV WIV1) and civet (CoV-SZ3, CoV-007) hosts. We report complex glycan trees that decorate the glycoproteins and density for water molecules which facilitated modeling of the water molecule coordination networks within structurally important regions. We note structural conservation of the fatty acid binding pocket and presence of a linoleic acid molecule, which are associated with stabilization of the receptor binding domains in the “down” conformation. Additionally, the N-terminal biliverdin binding pocket is occupied by a density in all the structures. Finally, we analyzed structural differences in a loop of the receptor binding motif between coronaviruses known to infect humans and the animal coronaviruses described in this study, which regulate binding to the human angiotensin converting enzyme 2 receptor. This study offers a structural framework to evaluate the origins of SARS-CoV-2, the risk of future cross-species transmission, the ability to inform pandemic prevention, and aid in the development of pan-neutralizing treatments.
The Influence of Perceived Spiciness on Actual Taste Experience: An Experimental Study
Authors: CHEOK Adrian , Cai Jun , Yan Ying
Published: July 2023

This study investigates the influence of information on the perception of spiciness. We conducted an experiment with 10 subjects, each of whom was given food with a spiciness level ranging from 1 to 10. The subjects were informed about the spiciness level of the food, but the information given was randomly varied to be higher or lower than the actual spiciness level. The subjects' perceived spiciness level was then measured. Our results show a significant influence of information on the perception of spiciness. On average, the perceived spiciness level was found to be about 22\% different from the actual spiciness level, with a range from 12\% to 40\%. This effect was observed for all subjects and across all spiciness levels. These findings have implications for understanding the psychological factors that influence the perception of sensory experiences.
Enhancing Stability Control of Inverted Pendulum Using Takagi-Sugeno Fuzzy Model with Disturbance Rejection and Input-Output Constraints
Authors: Nguyen Thi-Van-Anh , Dong Bao-Trung , Bui Ngoc-Tam
Published: July 2023

The Takagi-Sugeno (T-S) fuzzy model is a versatile approach widely used in system control, often in combination with other strategies. This paper addresses key control challenges linked to the T-S system and presents important considerations to ensure its successful application using the Lyapunov theorem. One crucial aspect is determining the optimal number of premise variables and selecting accurate fuzzy rules for the T-S model. Additionally, the theorem based on Linear Matrix Inequality (LMI) is developed to enable effective disturbance rejection. To enhance stability control, constraints are imposed on the output angle and control input of a rotary inverted pendulum (RIP). By integrating T-S fuzzy control, disturbance rejection, and input/output constraints, robust stability in controlling the RIP is achieved. Extensive simulations are performed to showcase the efficiency of the suggested method, and the simulation results are thoroughly discussed and analyzed to verify the efficacy of the control method.
Multi-step prediction of TBM tunneling speed based on EWT-ICEEMDAN-SSA-LSTM hybrid model
Authors: Yang Yaohong , Liu Defu , Yang Shuwen , Zhang Zhixiao , Sun Xiaohu
Published: July 2023

Accurate prediction of tunneling speed in tunnel boring machine (TBM) construction is the basis for timely adjustment of operating parameters of TBM equipment to ensure safe and efficient tunneling. In this paper, a multi-step prediction model of TBM tunneling speed based on EWT-ICEEMDAN-SSA-LSTM hybrid model is proposed. Firstly, four data sets are selected under different geological conditions, and the original data are preprocessed using the binary discriminant function and the 3\(\sigma\)principle, and secondly, the preprocessed data are decomposed using the empirical wavelet variation (EWT) to obtain several subseries and residual series, and the residual series are decomposed again by the improved adaptive noise fully ensemble empirical modal decomposition (ICEEMDAN). Finally, several subsequences are substituted into the long and short term memory (LSTM) network with sparrow search algorithm (SSA) optimization for multi-step training and prediction, and the prediction results of each subsequence are summed to obtain the final results. The comparison with existing models shows that the performance of the proposed prediction method outperforms other models, and the average accuracy reaches 99.06%, 98.99%, 99.07% and 99.03% from the first step prediction to the fifth step prediction in four data sets, indicating that the method has high multi-step prediction performance and generalization ability, which can provide reference for other projects.
Efficacy of a full management model in daytime surgery for gastrointestinal polyps based on WeChat: a study protocol for randomised controlled trials
Authors: Zhou Xin , Wu Jiao , Li Hong , Zeng Xin , Luo Huai-li
Published: July 2023

Objective: To explore the feasibility and effectiveness of a full management model based on WeChat platform in patients undergoing daytime gastrointestinal polypectomy.
Methods: 593 patients were randomly divided into two groups: the control group was treated with traditional management methods, and the experimental group was treated with the whole-process management mode based on the WeChat platform. The WeChat platform-based full management model included establishing a day surgery management WeChat group, developing multidisciplinary, full-management protocols and processes for day surgery, establishing an information-based surgical scheduling system, and adopting diverse forms of day surgery education and continuity of care. This feature included illustrated brochures, vivid verbal presentations, WeChat public numbers, and Internet management platforms. The treatment time, hospitalization cost and patient satisfaction of the two groups were counted.
Results: In the experimental group, 408 patients were enrolled. The pre-operative waiting time and patients' length of stay was 3 days and 1 day. The medical and nursing intake time was 7 minutes. The procedure cancellation rate and post-operative complications rate was 0.07% and 0.02%. In the control group, 185 patients were enrolled in the study, The pre-operative waiting time and patients' length of stay was 7 days and 3 days. The medical and nursing intake time was 28 minutes. The procedure cancellation rate and post-operative complications rate was 0.13% and 0.05%. The hospitalization costs were reduced by an average of $140/person and the satisfaction scores were higher than control group.
Conclusion:Through the full management model based on WeChat, the preoperative waiting time, medical reception time, surgical cancellation rate, length of hospital stay, and hospitalization cost in the experimental group were less than those in the control group. Patient satisfaction scores were significantly higher than those in the control group and the difference was statistically significant.
Thermal modelling and Parametric optimization for Machining of Aluminum (Al-10%SiCmicro-SiCnano) based hybrid composite using Spark Erosion
Authors: arif umair , khan imtiaz ali , hasan faisal
Published: July 2023

In this study, the authors divided the work into two parts. The first part involved the development and validation of a thermal model for Electric Discharge Machining (EDM) using Ansys software. This model took into consideration various factors such as Gaussian heat flux, spark radius, fraction of heat transferred as a equation of pulse on time and pulse current, latent heat in specific heat values and temperature dependent thermal conductivity properties. Three different values of fraction of heat transferred to workpiece (Fc) were used in simulation to determine which one is better at correctly predicting MRR and SR. The second part involved the parametric study of the experimental results using ANOVA, main effect plot and grey relational analysis.
The workpiece in this study was Al-based hybrid composites, which were manufactured using stir casting. Three composite materials, Al-10%SiCmicro-3%SiCnano, Al-10%SiCmicro-4.5%SiCnano, Al-10%SiCmicro-6%SiCnano were considered. The EDM process was accomplished using a L9 orthogonal array, and the performance parameters were measured in terms of MRR, TWR, SR, Dilation in hole diameter, and Hole taper.
The results showed that the Fc value calculated using the Shabdard's function [1] provided the best prediction of MRR and SR, with a MRR ratio range of 1.20-8.00, followed by Fc taken from Dibitonto [2] (MRR ratio range -0.28-12.95) than Fc calculated from Ming et al. [3] (MRR ratio range 0-18.56). The results showed that the dilation in hole diameter and Hole taper increased with an increase in the percentage of SiC nano-particles, while TWR increased with an increase in the pulse current and Hole taper decreased with increase in pulse on time. The best EDM machining results were obtained at 6A pulse current, 20 pulse on time, and 6% SiC nano-particles in the hybrid composite. A validation experiment was also performed, and it was found that the MRR, dilation in hole diameter, and Hole taper improved at 6% SiC nano-particles, 6A pulse current, and 30 pulses on time.
On the norm bounded sets of the ideal $E^{a}$
Authors: Moktafi Houda , Khabaoui Hassan , Fahri Kamal El
Published: July 2023

The paper is devoted to study the norm bounded subsets which are contained in Ea. Also, we introduce and study the class of the bounded-Ea operators, whichmaps the closed unit bull of a Banach space to a subset of $E^{a}$. Some interesting results about this class of operators are presented.
2010 Mathematics Subject Classification. 46B42, 47B60, 47B65
ACP-YOLO: Asymmetric Center Point Bounding Box Regression Strategy and Angle Loss-based YOLO for Object Detection
Authors: Wang Xiuling , Kong Lingkun , Zhang Zhiguo , Wang Haixia , Lu Xiao
Published: July 2023

The YOLOv4 approach has gained significant popularity in industrial object detection due to its impressive real-time processing speed and relatively favorable accuracy. However, it has been observed that YOLOv4 faces challenges in accurately detecting small objects. Its bounding box regression strategy is rigid and fails to effectively leverage the asymmetric characteristics of objects, limiting its ability to enhance object detection accuracy. This paper proposes an enhanced version of YOLOv4 called ACP-YOLO (asymmetric center point bounding box regression-based YOLOv4). The ACP-YOLO approach introduces two customized modules: an asymmetric center point bounding box regression strategy and an angle-loss function. These modules contribute to improving the algorithm's detection accuracy by enabling more precise localization of objects. Additionally, ACP-YOLO adopts an improved feature fusion technique, which facilitates enhanced information flow within the network, thereby further enhancing accuracy performance. Experimental evaluations conducted on the COCO2017 dataset demonstrate the effectiveness of the proposed method. ACP-YOLO achieves an average precision of 45.6\%, surpassing both YOLOv4 and certain previously developed one-stage detectors. The utilization of an asymmetric center point bounding box regression strategy and the incorporation of robust feature fusion contribute to superior object detection accuracy in ACP-YOLO compared to YOLOv4.
Pain Behaviour of critically ill Patients on Mechanical Ventilation During Nursing Interventions at Governmental Hospital– Sana'a-Yemen
Authors: Haza’a Abdulnasser A. , Odhah Marzoq A. , Al-Ahdal Saddam A. , Al-Awar Muhammad S. , Al-Jaradi Abdulfatah S. , AlNathari Laila M. , Aljaboobi Lama M.
Published: July 2023

Background: Patients who are mechanically ventilated frequently feel pain. Mechanically ventilated patients' pain is made worse by factors like illness level, invasive treatments, and surgical interventions.
The aim of study: to examine the pain behaviour of patients on mechanical ventilation during nursing interventions.
Methods: From November 2022 to February 2023 data collection done, 150 mechanically ventilated patients at a government hospital were included in the sample using a cross-sectional descriptive design. Both before and during nursing interventions, pain evaluations were conducted by "Ramsay Sedation Scale" and "Behavioural Pain Scale". The difference between pain level and hemodynamic parameters before and during the procedure was assessed using the Wilcoxon-signed rank test. It was agreed that a p-value of 0.05 was statistically significant.
Results: The majority of patients (62% of them were male and aged between 53 and 69 years) had a history of illness. The interventions that resulted in a difference in pain scores were bed bathing, tracheal suction, oropharyngeal suction, nasogastric intubation, oral care, repositioning, perineum care, and IV catheterization; however, there was no significant increase in SBP scores during eye care or nasotracheal suction, while there was a significant rise in all physiological parameters during these procedures.
Conclusion: Patients on mechanical ventilation feel pain before and during nursing intervention. In fact, harmless and comforting operations injure. Nurses must take care-related suffering linked with their interventions into consideration while caring for critically sick nonverbal patients. It might be deceptive to use changes in vital signs as the main indicator of pain.
Different methods of longwall full mining partial filling and optimal design of filling process
Authors: Lu Yao , Wang Changxiang , Lu Wei , Guo Zhi , Qi Guansheng
Published: July 2023

Different methods of longwall full mining partial filling have been extensively studied to meet the special mining requirements of pressure coal resources and residual coal resources. The research aims to reduce production costs, ensure safe and efficient production of filling mining. Three longwall partial filling mining technologies are proposed: room-pillar filling mining, parallel strip filling mining, and vertical strip filling mining. Numerical simulation and the Analytic Hierarchy Process (AHP) model are utilized to analyze the effects of these methods. The results demonstrate that vertical strip filling mining exhibits the smallest surface deformation and the most regular displacement distribution. Additionally, an AHP model is employed to determine the index weights for safety, economic factors, stress, displacement, and filling cost. A hierarchical structure is established with safety and economic mining as the target layer, and stress, displacement, and economic factors as the criterion layer. The vertical strip filling mining method was calculated as the comprehensive optimal scheme. In practical operations, the filling technology and filling material performance play crucial roles in determining the filling effect. The study includes the optimization analysis of the filling technology, focusing on the composition of the coal gangue paste filling system and the optimization of the system components. Additionally, the study investigates the optimization analysis of filling materials, particularly the performance optimization methods. Experimental results demonstrate that optimizing the filling materials can improve the performance of the filling paste, enhancing both early-stage and long-term compressive strength. This research can provide valuable insights into the optimal design of longwall partial filling mining methods.
Large deviation principle for pseudo-monotone evolutionary equation
Authors: R KAVIN
Published: July 2023

In this article, we explore Freidlin-Wentzell's large deviation principle for a stochastic partial differential equation with the nonlinear diffusion-convection operator in divergence form satisfying p-type growth, involving coercivity assumptions, perturbed by small multiplicative Brownian noise. We use the weak convergence method, to prove the Laplace principle, which is equivalent to the large deviation principle in our framework.
2020 Mathematics Subject Classification. 60H15, 35R60, 60F1
Quality of life and patient satisfaction after single port endoscopic thoracic sympathectomy for primary focal hyperhidrosis: A follow-up of 250 patients
Authors: Majeed Zryan Salar , Baram Aram , Isac Ashur Y.
Published: July 2023

Background
If left untreated, severe types of Primary Focal Hyperhidrosis (PFH) would negatively affect patients' quality of life (QoL). The aim of this study is to determine the efficacy of Endoscopic thoracic sympathectomy (ETS) and the degree of improvement in quality of life and satisfaction after surgery. The intraoperative and postoperative complications were evaluated, especially compensatory hyperhidrosis (CH). We hypothesized that the selected sympathectomy level will neither prevent nor reduce CH.
Methods
a single-center retrospective study of 250 adult patients diagnosed with bilateral PFH underwent ETS of the 2nd ,3rd, and 4th thoracic sympathetic ganglion. We compared pre-and-post operative HDSS and QoL using Pearson correlation. The rate of CH and other complications during follow-up of 4 years were recorded.
Results
Among 250 patients 217 had a preoperative hyperhidrosis severity score (HDSS) of 3 and 33 patients had a score of 4 compared to postoperative HDSS was zero in 145 patients (58%), 1 in 82 patients (32.8%), 2 in 22 patients (8.8%), and score 3 in one patient (0.4%) P value (0.097). QoL before operation in 201 patients was very bad (80.4%) while postoperatively QoL was much better in 206 patients (82.4%) P value (0.0001). CH was seen only in 27 patients (10.8%), and only one was severe.
Conclusion
ETS is safe and effective for severe cases of PFH. Sympathectomy at 2nd ,3rd, and 4th ganglion levels has an excellent outcome and patient satisfaction with minimal perioperative complications including compensatory hyperhidrosis.
Robotic-assisted intracorporeal versus extracorporeal techniques in sigmoidectomy: a propensity score- matched analysis
Authors: Yao Qing , Sun Qian-Nan , Zhou Jia-Jie , Ma Yue , Ren Jun , Wang Liu-Hua , Wang Dao-Rong
Published: July 2023

Background
Scarce research has been performed to assess the safety and efficacy of anastomosis technique on robotic-assisted sigmoidectomy. This study was designed to evaluate the difference between intracorporeal and extracorporeal techniques during robotic-assisted sigmoidectomy.
Methods
Clinical data of 193 cases who received robotic-assisted sigmoidectomy were retrospectively collected and analyzed. Only 116 cases were available for analysis (intracorporeal group = 58, extracorporeal group = 58) after propensity score matching. Independent sample t-test was conducted to evaluate the continuous variables. Moreover, the statistical significance of categorical variables was tested using Chi-square or Fisher exact tests.
Results
Statistical analysis showed that the intracorporeal group demonstrated greater superiorities in pain scale on the first and second postoperative day (P < 0.05), time of catheter indwelling (P = 0.009) and length of hospital stay (P = 0.019). Additionally, the intracorporeal technique contributed to fewer complications including urinary retention (P = 0.027) and hernia (P = 0.037) than the extracorporeal group.
Conclusions
Our analysis revealed that intracorporeal technique was safe and feasible due to the shorter time of catheter indwelling and length of hospital stay and fewer post-operation complications.
A Systematic Survey of Fuzzy Deep Learning for Uncertain Medical Data
Authors: Zheng Yuanhang , Xu Zeshui , Wu Tong , zhang yi
Published: July 2023

Intelligent medical industry is in a rapid stage of development around the world, followed by are the expanding market size and basic theories of intelligent medical diagnosis and decision-making. Deep learning models have achieved good practical results in medical domain. However, traditional deep learning is almost calculated and developed by crisp values, while imprecise, uncertain, and vague medical data is common in the process of diagnosis and treatment. Medical data is usually uncertain because of the presence of noise, artifact or high dimensional unstructured information in the data. Fortunately, fuzzy deep learning that originated from fuzzy sets, can effectively deal with uncertain and inaccurate information, providing new viewpoints for alleviating the problems above. Therefore, it is important and necessary to review the contributions of fuzzy deep learning for uncertain medical data in recent years. This paper first constructs four types of frameworks of fuzzy deep learning methods used for uncertain medical data, and investigates the status from three aspects: fuzzy deep learning methods, type of uncertain medical data and execution effects. Then the performance evaluation metrics of fuzzy deep learning models are analyzed in details. We have found that although fuzzy deep learning indeed develops the interpretability, low-quality images, boundary point processing, imprecise text records processing and multi-source heterogenous data fusion in medical domain, challenges still exist and future research directions are provided from the perspective of genetic data processing, intelligent medical decision-making based on complex cognition information, health management of Traditional Chinese Medical and few-shot learning.
Decentralized Storage Cryptocurrencies: An Innovative Network-Based Model for Identifying Effective Entities and Forecasting Future Price Trends
Authors: Davoudi Mansour , Ghavipour Mina , Sargolzaei-Javan Morteza , Dinparast Saber
Published: July 2023

This study focuses on analyzing four of the most significant cryptocurrencies in the field of decentralized storage, including Filecoin, Arweave, Storj, and Siacoin. Our method consists of three main components: Network Analysis, Textual Analysis, and Market Analysis. Network Analysis involves identifying relevant entities associated with the target cryptocurrencies to construct a network of entities. During this component, the embeddings of each entity are then extracted using node2vec which are fed into a convolutional neural network. In the second component, Textual Analysis, we first employ the T5 summarization model to encapsulate the content of related news articles. Subsequently, by utilizing the FinBert model the sentiment of news articles and tweets associated with the identified entities are extracted. We then use transformer encoders to process the resulting feature vectors. Ultimately, similar to the Textual component, by leveraging the transformer encoders the financial market information of target cryptocurrencies is evaluated during the Market Analysis component. As the final step, the outputs of these components are combined to predict the price trend of the target cryptocurrencies within a specified time frame. The proposed model’s accuracy in forecasting the future price trend of Filecoin, Storj, Arweave, and Siacoin is 76%, 83%, 61%, and 74% respectively.
Recto-sigmoid junction pressure variations in patients with symptomatic obstructed defecation syndrome and the approach to management
Authors: Shafik Ali Ahmed , el-barmelgi Mohamed Yehia , Mohamed Osama refaei , Mohamed Mohamed tamer , Bassiouny Haitham azmy , badie Fady Fathy , shafik Ali Ismail Ahmed
Published: July 2023

Purpose
Are clinical and manometric results sufficient to plan management in patients with obstructed defecation syndrome (ODS)? This paper assesses the variations in rectosigmoid junction (RSJ) pressure together with the anal and rectal pressures in ODS in relation to clinical symptoms. Management plans are then suggested for specific cases based on the manometric and clinical results and the success of such plans are measured and may be an economical and convenient alternative to more advanced techniques.
Methods
A case-control study including 60 patients, 30 cases & 30 control, clinically shown to have ODS, who underwent assessment of the RSJ pressure using anorectal manometry. The results and variations are recorded, and management suggested based upon the manometric results.
Results
High RSJ pressure in 30 cases revealed a statistically significant positive correlation with the severity of symptoms, according to Cleveland clinic constipation score, when compared to controls. However, long term follow-up of management, based on the manometric & clinical results, showed a high degree of recurrence.
Conclusion
High pressure in the RSJ is directly correlated to the severity ODS, eliminating this high-pressure zone via sigmoidectomy can lead to improvement of symptoms in the short-term, however, management should not be planned solely on manometry and clinical symptomatology as recurrence rates are high in the long-term. Rather, manometry should be supplementary to planing surgical management with other more advanced techniques, such as MRI defectography.
Probing ALPs at the LUXE experiment
Authors: Meloni Federico
Published: July 2023

The proposed LUXE experiment (LASER Und XFEL Experiment) at DESY, Hamburg, aims to probe QED in its non-perturbative regime. In order to do this, LUXE will study the interactions between 16.5 GeV electrons from the European XFEL and high-intensity laser pulses. This experiment also provides a unique opportunity to probe physics beyond the Standard Model: exploiting the large photon flux generated at LUXE, it is possible to design a dedicated detector to probe axion-like-particles up to a mass of 350 MeV and with photon coupling of 3 \cdot 10^{-6}3⋅10−6 GeV^{-1}−1. This reach is comparable to the projected sensitivity of experiments like FASER2 at the HL-LHC and NA62 operating in dump mode.
Photon-ALP oscillations at CTA energies
Authors: Kachelriess Michael , Tjemsland Jonas
Published: July 2023

Axions and axion-like-particles (ALPs) are well motivated beyond the standard model particles that can explain a variety of unsolved problems in physics, such as the strong CP problem and the nature of dark matter. These particles are characterised by their two-photon coupling, which leads to so-called photon-ALP oscillation as photons propagate through an external magnetic field. Such oscillations lead to characteristic signatures in the energy spectrum of high-energy photons from astrophysical sources, allowing us to probe the existence of ALPs and possibly dark matter. We review the signatures from ALPs in photon spectra and discuss a new method that can be used to directly search for the energy dependence of the oscillations. The focus is on photons at TeV-energies relevant for the upcoming Cherenkov Telescope Array (CTA).
Otobiyografi: PROF. DR. ERGUN ÖZSUNAY
Authors: ÖZSUNAY Ergun
Published: July 2023

1935 yılında İstanbul’da doğdu. Vefa Lisesini bitirdikten sonra, İstanbul Hukuk Fakültesinde okudu (1953-1957). 1957 yılında Hukuk Fakültesi’nden mezun oldu ve aynı yıl Prof. Dr. Bülent Davran’ın kürsüsüne asistan olarak girdi. İstanbul Hukuk Fakültesi’nde konuk öğretim üyesi olarak bulunan Profesör Alfred F. Conard’ın (University of Michigan, School of Law, 1957-1958) ve Profesör E. Allan Farnsworth’la (Columbia University School of Law School) çalıştı. Alfred F. Conard’ın “Anglo-Amerikan Hukukuna Giriş”, E. Allan Farnsworth’un “Amerikan Özel Hukukuna Giriş” kitaplarını çevirdi. Master çalışmasını “Harvard Law School”da yaptı (LL.M. 1959/60). Strasbourg’da, “Faculté International pour l’Enseignement de Droit Comparé”den (Uluslararası Mukayeseli Hukuk Eğitimi Fakültesi) “Diplome de Droit Comparé” (1962-63) ve “Diplome d’Etudes Supérieures de Droit Comparé” (Mukayaseli Hukuk ve Mukayeseli Hukuk Yüksek Lisans diplomaları) diplomalarını aldı (1965/66). İstanbul Hukuk Fakültesi’nde doktorasını verdi (1961). Hamburg’da “Max Planck Institut für auslaendisches-und internationales Privatrecht”de çalışarak, doçentlik tezini hazırladı (1965/66). 1966 yılında doçent; 1972 yılında profesör oldu. 1972’de Freiburg/Br. Hukuk Fakültesinde “Gastdozent” olarak “Lisans Sözleşmeleri” ve Avrupa Tipi Şirket” üzerine çalışmalarını sürdürdü. 1978 – 1985 yılları arasında İstanbul Üniversitesi Mukayeseli Hukuk Araştırma ve Uygulama Merkezi (MHAUM) Müdürü olarak görev yaptı. 2002 yılında İstanbul Üniversitesi Hukuk Fakültesinden emekli oldu.
The effect of human capital and structural capital on leverage: Evidence from Jordan
Authors: Fawzi Shubita Mohammad
Published: July 2023

This study investigates the effect of human capital and structural capital on leverage for Jordanian industrial firms from 2006 to 2020. The relevance of this topic lies in the importance of capital structure decisions for firm value and the limited research conducted on the topic in Jordan. The aim is to examine whether human capital efficiency and structural capital efficiency significantly affect leverage. The sample includes 77 industrial firms. The study employs multiple regression analysis to test the hypotheses, controlling for variables such as return on equity and firm size. The findings show that structural capital efficiency does not significantly affect leverage, but human capital efficiency and ROE have significant effects. Furthermore, the study finds that the relationship between these variables differs between large and small companies. This implies that firms with more efficient human capital tend to use less debt financing. The study concludes that human and structural capital efficiency should be considered when making capital structure decisions, as they can affect the optimal level of debt financing. The practical value is the insights for firms in Jordan and other emerging markets on optimizing their capital structure decisions by considering their human and structural capital efficiency. These results contribute to the literature on firm performance determinants in emerging economies and offer valuable information for practitioners and policymakers.
AcknowledgmentI want to thank Amman Arab University for funding this study.
THE IMPACT OF RELIGIOSITY ON PERCEPTIONS OF THE ROLE OF INDEPENDENT COMMISSIONERS IN THE IMPLEMENTATION OF CORPORATE GOVERNANCE IN SHARIA FINANCIAL ENTITIES IN INDONESIA
Authors: Heykal Mohamad , Khomsiyah Khomsiyah
Published: July 2023

The aim of this research is to analyze whether there is an impact of religiosity as well as understanding of Islamic accounting and finance concepts on perceptions of the role of independent commissioners in relation to corporate governance in Islamic financial entities in Indonesia. The research uses primary data by distributing questionnaires to employees in Islamic financial institutions. The results showed that religiosity had a positive and significant effect on perceptions of the role of independent commissioners in corporate governance in Islamic financial institutions, while an understanding of Islamic accounting and finance did not show a significant effect. Research has not been able to prove whether the quality of financial reports can moderate the level of understanding of Islamic accounting and finance because the data obtained from the questionnaire comes from a limited number of Islamic financial institutions.
EXTERNAL PARTY RECOGNITION ON ESG DISCLOSURE TO STOCK PRICE: A CASE STUDY OF ESG DISCLOSURE AWARDS IN INDONESIAN STOCK EXCHANGE
Authors: Octavia Dwi , Jayanti Helen , Lee Jayson Gautama , Arlie Richard , Lindrianasari Lindrianasari
Published: July 2023

This research aims to find further empirical evidence of the connection of environmental disclosure with share price. We took into consideration potential investor doubt on company ESG disclosure. This research aims to find further empirical evidence of the connection of environmental disclosure with the share price. We considered potential investor doubt on company ESG disclosure because of potentially biased reporting from management predicted by agency theory and attempted to study the effects when this doubt is removed by external recognition of the company's ESG disclosures. Abnormal returns of companies are tracked using daily closing price data from Bloomberg, and further testing is done using the binomial distribution. Our study has found that companies that obtain external recognition experience an increase in abnormal returns after the award announcement date. This finding implies that external parties' recognition of the company's environmental performance will obtain positive market sentiment and is indicated by increased stock returns.
A Comparative Study of Social Information Processing and Executive Functioning in Children with Attention Deficit and Hyperactivity Disorder and Typically Developing Children
Authors: DİKİCİ Hidayet , ÖZDEMİR Selda
Published: July 2023

Introduction: Examining the performance of children with Attention Deficit Hyperactivity Disorder (ADHD) in each step of the social information processing and their executive functioning behaviors while comparing them to typically developing (TD) children and determining their limitations in these processes is important for reducing the future risks that children with ADHD may face in academic and social life. In this context, the aim of the study is to comparatively examine the social information processing and executive functioning behaviors of children with ADHD and TD children. Method: The study was conducted using a general survey model, which is one of the quantitative research designs. The participants of the study included 25 children diagnosed with ADHD, aged between 8 and 10, and 25 TD children of the same gender and age range. Additionally, 25 teachers and 50 parents participated in the study. The data collection tools used in the study were the Social Information Processing Assessment Form and the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions (BRIEF). Findings: The study findings showed significant differences between children with ADHD and TD children in all stages of the Social Information Processing Assessment Form. Similar significant differences were also found in all the sub-scales and sub-dimensions of the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions. The relationships between social information processing skills and executive functioning skills also revealed significant associations between some sub-stages of the Social Information Processing Skills Assessment Form and some sub-dimensions of the Parent and Teacher Form of the Behavioral Rating Inventory of Executive Functions. Discussion: The findings indicate that children with ADHD experience limitations in each of the six steps of the Social Information Processing Model and in some sub-dimensions of executive functions when compared to their TD peers. The findings emphasize the significance of the relationships between social information processing and executive functioning in the development of social and academic skills in children with ADHD.
The Effect of Using Context-Based Learning Videos on Global Warming Materials on Students' Problem-Solving Skills
Authors: Tamrin Husni , Desnita Desnita
Published: July 2023

This study purpose was seen what there were effect of using context-based learning videos on global warming material on the problem solving students abilities of class XI at MAN 2 Pesisir Selatan. This research is a quasi-experimental research, posttest-only control design. The study population was all class XI IPA MAN 2 Pesisir Selatan who are registered in 2021/2022 school year. Sampling was conducted using cluster random sampling technique, selected class XI IPA 1 and XI IPA 3 as sampling. The data of this research is score of students' ability of problem solving. The research instrument was a written test in consist of 7 essay questions. Data analysis was carried out using the Normality Test, Homogeneity Test and U-test. The normality test, it was found that the experimental class was normally distributed while the control class was not normally distributed. The homogeneity test of the two sample classes shows that the two sample classes do not have a homogeneous variance.  The results showed that the average problem-solving ability of the group for experimental was greater than the group for control. Using the U test (Man Withney) with a level of significance was 5%, the score of ZcountZtable is obtained. The results of the various problem solving abilities of each student could be identified. The average score of problem solving abilities in the experimental class was 90.48 while for the experimental class it was 76.06. This shows that the students' problem-solving abilities for the experimental class are higher than those for the control class. It can be concluded that there is an effect of using context-based learning videos on global warming material on the abilitiy of problem-solving in class XI students of MAN 2 Pesisir Selatan.
Effect of Molarity on Double Layer Photocatalytic Activity ZnO/ZnO:Ag for Metanil Yellow Degradation
Authors: Anggita Sheilla Rully , Kusuma Hamdan Hadi , Sumarti Heni , Teke Sosiawati
Published: July 2023

Double layer (DL) ZnO/ZnO:Ag has been synthesized with variations in molarity of 0.1, 0.3, 0.5,  and 0.7 M and its application as a degrading agent for methanil yellow dye. This study aims to determine the effect of the molarity of the DL ZnO/ZnO:Ag on crystallinity and photocatalytic activity for methanil yellow degradation. DL ZnO/ZnO:Ag was synthesized using sol-gel technique and deposited with spray coating technique. The results of DL ZnO/ZnO:Ag were characterized by XRD to determine the crystallinity and particle size. The photocatalytic activity was carried out by immersing the DL ZnO/ZnO:Ag layer in 10 ppm methanil yellow solution and irradiating it with UV light for 4 hours and then tested using UV-Vis spectroscopy to get the percentage of methanil yellow degradation. The results showed that the crystallinity of the DL ZnO/ZnO:Ag for all molarity variations had a hexagonal wurtzite structure. Grains size increase as molarity increases from 0.1 to 0.5 M. However, if the concentration continues to be increased to 0.7M, the grain size decreases. Photocatalytic activity is increasing every hour, as indicated by the increasing percentage of degradation. Precursor in 0.5 M has the maximum percentage of degradation is 25.32%.
Implementation of Probolinggo Local Wisdom-Based Problem-Based Learning Model to Improve the Science Literacy Skills of High School Students
Authors: Arrafi Wadhifah Qiyyamul Lailli , Wasis Wasis , Ningsetyo Maya , Amiruddin Mohd Zaidi Bin , Desysetyowati Novita , Sunarti Titin
Published: July 2023

The characteristics of learning in the 21st century are directed at encouraging students to work together, be communicative, think creatively, think critically, think computationally, and have compassion. This study aims to apply a problem-based learning (PBL) model based on Probolinggo local wisdom to improve students' scientific literacy skills. The type of research used is quasi-experimental and uses a Nonequivalent Control Group Design. The type of research used is quasi-experimental and uses a Nonequivalent Control Group Design. This study used two class samples, namely class XII MIPA 1 as a class that will be given treatment (experimental) while class XII MIPA 3 as a class that is not given treatment (control). The Probolinggo local wisdom-based PBL model becomes the independent variable in this study. The dependent variable in this research is students' scientific literacy skills. The control variables in this study were the teachers or researchers, the number of students taught (sample), and the learning materials for dynamic fluids. This research obtained valid learning tools with a validity level of 89.2%. The level of implementation of learning is 94%. Applying learning to apply Probolinggo local wisdom-based PBL model effectively increases students' scientific literacy abilities. This was obtained from the results of the independent-sample T-test, showing that the significance value is 0.000, which is less than 0.05. An increase was seen from the N-Gain test, obtained 0.60 in the class that was given the treatment, while 0.05 in the class that was not. In the future, learning based on Probollinggo's local wisdom can be developed in dynamic fluid learning and linear material learning.
Dynamics of Technological Development: Innovation, Imitation, Depreciation
Authors:   Institute of Applied Mathematical Research, Federal Research Center ", Kirillov Alexander Nikolajevich ,   Karelian Research Center of the Russian Academy of Sciences", Sazonov Alexander Mihaylovich ,   Institute of Applied Mathematical Research, Federal Research Center "Karelian Research Center of the Russian Academy of Sciences"
Published: July 2023

The nonlinear dynamical system, describing the dynamics of sector capital distribution over two levels of technological development, low and high, proposed. The dynamics is determined by the interaction of innovation and imitation process with the process of depreciation taking into account. The qualitative behavior of the system trajectories depending on the relationship of parameters determining the rates of innovation, imitation and depreciation processes is studied. The invariant set which all trajectories enter in a finite time is found. In the case of nonzero rate of innovation process, the uniqueness of equilibrium is proved. On the basis of proposed constructive geometrical method the sufficient conditions of its global stability are obtained. In order to study the behavior of isoclines the special curve parametrization, connected with the invariant set geometry, is proposed. It is shown that in the absence of innovation process the existence of two equilibria, stable and unstable, is possible. In addition, the transition to a high technological level, corresponding to a stable equilibrium, may not occur even under sufficiently small depreciation process rate. The bifurcation value of the imitation rate parameter is found.
Asymptotic Stability Investigation of the Zero Solution for a Class of Nonlinear Nonstationary Systems by the Averaging Method
Authors:   St. Petersburg State University, Aleksandrov Alexander Yur'evich
Published: July 2023

A system of nonlinear differential equations is considered that describes the interaction of two coupled subsystems, one of these subsystems is linear, and the other is nonlinear and homogeneous with an order of homogeneity greater than one. It is assumed that this system is affected by nonstationary perturbations with zero mean values. Using the averaging method, sufficient conditions are determined under which perturbations do not disturb the asymptotic stability of the zero solution. The derivation of these conditions is based on the use of a special construction of the nonstationary Lyapunov function which takes into account the structure of the acting perturbations. In addition, we consider the case where there is a constant delay in the right-hand sides of the system. An original approach to the construction of the Lyapunov-Krasovskii functional for such a system is proposed. Using this functional, conditions are found that guarantee the preservation of the asymptotic stability for any positive delay.