bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Population Analysis of Delayed Ejaculation Using a Claims Database: Characteristics and National Trends in Prevalence, Incidence, and Pharmacotherapy
Authors: Liao Brian , Able Corey , Banner Steven , An Clemens , Nasrallah Ali , Vu Kevin , Sonstein Joseph , Alzweri Laith , Kohn Taylor 
Published: November 2023

Abstract

Delayed ejaculation (DE) is rare disorder of sexual function reported to affect between 1-5% of men. However, due to the lack of a standard definition, the true prevalence, incidence, and treatment trends remain unclear. Herein, we assess the trends in prevalence and incidence of DE diagnosis as well as the medications and comorbidities in men when diagnosed with DE and treatment patterns using a large claims database. The TriNetX Diamond database was queried to identify adult males diagnosed with DE. Prevalence was determined by comparing men with a diagnosis of DE to the total population of men evaluated in the inpatient, outpatient, and emergency settings in six-month intervals within the database. Similarly, incidence was determined by comparing men with a new diagnosis to the total population of men without a previous diagnosis. Pharmacotherapy rates were calculated by comparing the number of men receiving a prescription to the total number of men in one-year intervals. We identified 23,164 men with a diagnosis of DE. In the final period, 2,747 (0.02%) men were diagnosed with DE and 1,375 (0.01%) received a new diagnosis of DE, with prevalence and incidence increasing over time. The most common medications prescribed in the final period were testosterone (9.5%), bupropion (6.6%), and buspirone (2.3%). Additionally, 916 (19.4%) received any prescription, with the rates of these medications increasing consistently over time. Delayed ejaculation is rarely diagnosed but has increasing prevalence. Rates of pharmacotherapy remain low. Further work is needed to investigate first-line medical therapy if behavioral modifications and psychotherapy fail.
Asymmetrical Responses of the ITCZ to Symmetrical Thermal Forcings at Different Latitudes
Authors: Ma Xinyu , Huang Weichong , Zhao Shuyun , Zhang Hua , Wang Wuke , Wang Lunche 
Published: November 2023

Abstract

Meridional shifts of the intertropical convergence zone (ITCZ) in response to tropical or extratropical forcings have been investigated widely within an emerging energy framework. While few studies concerned the forcings of different spatial patterns. This work explores the dependence of the ITCZ response on the patterns of thermal forcings, which are hemispherically antisymmetric and zero in global mean, using the Community Earth System Model coupled with a slab ocean. Results show that the magnitudes of ITCZ displacements caused by mid-latitude perturbations are larger than their low-latitude counterparts, though the perturbation amounts are the same in hemispherically average. It is found mid-latitude perturbations cause more cross-equatorial atmospheric energy transport (AET) and moisture transport, the upper and lower branches of an anomalous Hadley cell. The reason lies further in the different mechanisms of precipitation response to low- and mid-latitude thermal perturbations. That is when perturbations are added in tropics, evaporation and clouds share the responses, limiting the magnitude of either one; while when perturbations are added in mid-latitudes, baroclinicity change allows local evaporation and tropical clouds to respond fully. Results also show that the zonal mean precipitation responses have asymmetric components even though the warming and cooling are symmetric; that is the increase of precipitation in the warmed hemisphere is more poleward than the decrease of precipitation in the cooled hemisphere. This is especially true when the mid-latitudes of the southern hemisphere (SH) are warmed. The phenomenon is a manifestation of the positive feedback of precipitation to the anomalous Hadley circulation. And that the asymmetric components of precipitation response are greater in the case of warming SH than those in the case of warming the northern hemisphere is attributable to the offset of AET by transient eddy in the latter case.
A cyclic random motion in $\mathbb{R}^3$ driven by geometric counting processes
Authors: Iuliano Antonella , Verasani Gabriella 
Published: November 2023

Abstract

We consider the random motion of a particle that moves with constant velocity in $\mathbb{R}^3$. The particle can move along four directions with different speeds that are attained cyclically. It follows that the support of the stochastic process describing the particle's position at time $t$ is a tetrahedron.We assume that the sequence of sojourn times along each direction follows a geometric counting process (GCP). When the initial velocity is fixed, we obtain the explicit form of the probability law of the process $\boldsymbol{X}(t) = (X_1(t);X_2(t);X_3(t))$, $t > 0$, for the particle's position. We also investigate the limiting behavior of the related probability density when the intensities of the four GCPs tend to infinity.Furthermore, we show that the process does not admit a stationary density.Finally, we introduce the first-passage-time problem for the first component of $\boldsymbol{X}(t)$ through a constant positive boundary $\beta > 0$ providing the bases for future developments.
MSC Classification: 60K99 , 60K50
ORCID: Antonella Iuliano: Orcid 0000-0001-8541-8120
Gabriella Verasani: Orcid 0009-0000-4994-1694
Efficient parametric family of fourth-order Jacobian-free iterative vectorial schemes
Authors: Cordero Alicia , Rojas-Hiciano Renso V. , Torregrosa Juan R. , Triguero-Navarro Paula 
Published: November 2023

Abstract
In this work, a multiparametric family of iterative vectorial fourth-order methods free of Jacobian matrices is proposed. A convergence analysis of this family is carried out as well as an study of its efficiency. Several numerical experiments are made in order to compare the behaviour of the proposed family with other competitive methods of the literature.
Bioinformatics analysis and molecular dynamics simulations of azoreductases (AzrBmH2) from Bacillus megaterium H2 for the decolorization of commercial dyes
Authors: Oyewusi Habeebat Adekilekun , Wahab Roswanira Abdul , Akinyede Kolajo Adedamola , Albadrani Ghadeer M. , Al-Ghadi Muath Q. , Abdel-Daim Mohamed M. , Ajiboye Basiru , Huyop Fahrul 
Published: November 2023

Abstract
The present study aimed to investigate the decolorization of various commercial dyes through bioinformatics analysis, utilizing techniques such as molecular docking, molecular dynamics simulation, and Molecular Mechanics Poisson-Boltzmann Surface Area (MMPBSA). These analyses were conducted on different commercial dyes to evaluate their potential for biodegradation. In this study, four commercial dyes, namely acid orange 7, cresol red, methylene blue, and malachite green, were selected as potential targets for degradation by azoreductases (AzrBmH21, AzrBmH22/3, and AzrBmH24/5) derived from Bacillus megaterium H2. The prediction of ligand binding or catalytic sites for AzrBmH21, AzrBmH22/3, and AzrBmH24/5 was performed using a machine learning algorithm based on the Prank Web and DeepSite chemoinformatic tool. The analysis revealed that several amino acids of AzrBmH2 interacted with the tested dyes, indicating the presence of distinct ligand-binding sites for AzrBmH2-dye complexes. The binding affinity for AzrBmH21, AzrBmH22/3, and AzrBmH24/5 ranged from − 9.4 to -5.5 kcal/mol, -9.2 to -5.4 kcal/mol, and − 9.0 to -5.4 kcal/mol, respectively. Each complex was stabilized by a minimum of 0–5 hydrogen bonds. MD simulations revealed stable AzrBmH2-dye complexes (with RMSD 0.15–0.42 nm, RMSF 0.05–0.48 nm, Rg 1.75–1.88 nm). MMPBSA calculations indicated that the AzrBmH2-dye complexes, except for AzrBmH2-malachite green, exhibited the lowest binding energy (-191.05 ± 7.08 to 314.19 ± 6.88 kcal/mol). The AzrBmH2-malachite green complex showed a prevalence of hydrophobic interactions (-268.25 ± 12.25 to -418.92 ± 29.45 kcal/mol) through van der Waals forces. This study highlights the potential role of enzymes, specifically azoreductases from Bacillus megaterium H2, in predicting the decolorization of commercial dyes. These findings contribute to our understanding of enzyme mechanisms in bioremediation and for biotechnological applications.
Hydrodynamical Study of Couple Stress Fluid Flow in a Linearly Permeable Rectangular Channel Subject to Darcy Porous Medium and No-Slip Boundary Conditions
Authors: Ishaq Muhammad , Rehman Saif Ur , Zahid Muhammad 
Published: November 2023

Abstract
In this paper, the study investigates the issue of the creeping flow of a non-Newtonian couple stress fluid through a linearly porous walled slit within a Darcy porous medium. The well-established approach, the Inverse Method approach, was employed to attain the precise solution of the governing equations. The inverse technique is utilized to transform the momentum equations into stream functions. The physical parameters are all computed: longitudinal velocity, transverse velocity, fractional reabsorption, leakage flux, axial pressure, volume flow rate, and mean pressure. The data was also graphed, indicating that the initial flow rate affects longitudinal velocity but not transverse velocity. The initial flow rate significantly impacts streamlines; as the flow rate rises, the streamlines become straighter and more uniform. Physical quantities are also influenced by permeability and the couple stress parameter. Backward flow occurs at the slit’s end due to the porosity parameter. The fluid flow in kidney-diseased renal tubules is the main focus of this study. Some fibrous materials, fatty substances, and solid waste particles, among other things, may become suspended in the tubule channel and in the wall’s pores as a result of illnesses, leading to biofouling and porosity filling in the slit, respectively.
Arrhythmia Classification Method Based on SECNN-LSTM
Authors: Sun Xiujuan , Wei Guohui , Zhang Shan , Li Yuepeng , Wang Chuanjiang 
Published: November 2023

Abstract
In order to improve the recognition and prediction accuracy of automatic classification of ECG signals, this paper proposes an arrhythmia classification method based on SECNN-LSTM. First, ECG signal is preprocessed, and the data is resampled for the problem of data imbalance, then the SECNN-LSTM network model is built. The spatial features of the signal are extracted by SECNN model and the front and back dependencies of the feature information are captured by LSTM model. The method has been tested and verified on the MIT-BIH Arrhythmia Database, and compared with other traditional arrhythmia classification method. The accuracy, precision, sensitivity, specificity and F1 value of the model have been improved to different degrees, and the average accuracy of the model has reached 98.70%. The experimental results show that this method can efficiently and accurately identify normal beats and four common types of arrhythmia diseases.
The simultaneous assessment of nitrogen and water use efficiency by intercropped pea and barley under contrasted pedoclimatic conditions
Authors: Bahia Zemmouri , Zohra Bouras Fatma , Benalia Haddad , Omar Kherif , Fatima Lahredt , Mounir Seghouani , Mourad Latati 
Published: November 2023

Abstract

Background and aims: Currently, there is a pressing need to study and improve both water and nitrogen (N) use efficiency (WUE and NUE). Surprisingly, this topic has not been adequately documented in recent literature, particularly within the context of intercropping systems. This study aims to assess the simultaneous changes in WUE and NUE through the implementation of rainfed pea-barley intercropping compared to their respective monocultures.
Methods: Field trials were conducted over two growing seasons at four experimental sites characterized by varying soil and pedoclimatic conditions. WUE and NUE were measured in monoculture and intercropping involving pea and barley.
Results: Our findings indicate that pea-barley intercropping had a more pronounced advantage over monoculture in terms of grain yield (+61%) and yield quality (+83%) compared to plant biomass (+35%), except for the site under dry conditions. Additionally, the results show that under higher rainfall conditions, intercropping exhibited the highest NUE values (5.07 kg grain N kg-1 soil N at sowing), while the highest WUE values (1.40 kg m-3) were observed under low-rainfall. Quantifying the relationship between WUE and NUE indicated a positive interaction for intercropping (r2 = 0.61, p ≤0.001) and pea monocrops (r2 = 0.36, p ≤0.01), but only when considering dry biomass at flowering stage.
Conclusion: These advantages of pea-barley intercropping can be attributed to the optimized-use of N and water resources, considering their contrasting co-limitation under semiarid conditions.
Age, Diabetes and Nutrient Intake Influence the Risk of Obese and Non-obese Sarcopenia in Individuals aged over 40 years in Urban Bengaluru
Authors: Savanur Mitravinda , Jain Tanushree , MK Ashika , K Safiya Arfain 
Published: November 2023

Abstract
Background: In India, obesity has been a growing concern. The coexistence of obesity and sarcopenia can have serious health implications.
Objectives: The objectives of the present study were to find out the prevalence of sarcopenia in obese and non-obese individuals and identify the factors influencing sarcopenia in them.
Methodology: We selected 603 adults aged between 40 to 80 years residing in urban Bengaluru. We measured their weight, height, waist circumference, calf circumference and hand grip strength. We also used short physical performance battery and 24-hour recall to study their muscle function and nutrient intake respectively. South Asian guidelines were used to diagnose sarcopenia.
Findings: One-third of the participants had sarcopenia. We found 20.6% (126) and 10.2% (62) individuals with sarcopenic obesity and non-obese sarcopenia respectively. Multinominal regression analysis indicated that age, diabetes, higher energy intake increased the odds of having sarcopenia in both obese and non-obese groups (p < 0.05). Dietary protein intake was seen to offer protection against sarcopenia in both obese and non-obese groups (p < 0.05). Individuals with family history of arthritis and females increased the odds of sarcopenia in obese and non-obese individuals respectively (p < 0.05). On the other hand, dietary calcium and fat intake were protective against sarcopenia in obese and non-obese individuals respectively (p < 0.05).
Conclusion: Sarcopenia was seen to be more prevalent in the obese group. Efforts need to be made to include screening for sarcopenia in regular clinical assessment. Early diagnosis along with nutritional modification may aid in prevention and treatment of sarcopenia.
Integrative Taxonomy of Urocleidoides spp. (Monogenoidea, Dactylogyridae) Parasites of Pseudanos trimaculatus (Characiformes: Anostomidae) from Eastern Amazon, Brazil
Authors: Santos-Neto João F. , Domingues Marcus V. 
Published: November 2023

Abstract

Two new species of Urocleidoidesare described from the gills of Pseudanos trimaculatus (Characiformes: Anostomidae) from the coastal drainages of the Eastern Amazon, Brazil. Urocleidoides itabocaensis n. sp. is characterized by having a sclerotized, tubular, sigmoid male copulatory organ (MCO), a circular sclerotized tandem brim associated with the base of the MCO; an accessory piece articulated with the MCO, V-shaped, divided into two subunits, distal subunit spoon-shaped; and a vaginal pore dextroventral with opening marginal. Urocleidoides omphalocleithrum n. sp. is characterized by presenting a C-shaped or sigmoid MCO; accessory piece articulated with the MCO, L-shaped, divided into two subunits, distal subunit gutter-shaped vaginal pore dextroventral with opening marginal; and ventral bar broadly V-shaped, with anteromedial projection. Molecular phylogenetic analysis based on partial 28S rDNA and COI mtDNA genes indicate that U. itabocaensis n. sp. and U. omphalocleithrum n. sp. are closely related and appear as a sister group to the other species (U. paradoxus, U. digitabulum and U. sinus) that parasitizing anostomid fishes. This study represents the first record of monogenoids from the gills of P. trimaculatus for the Eastern Amazon.
Object Detection driven Composite Block MotionEstimation Algorithm for High-FidelitySurveillance Video Coding
Authors: Pal Arup Kumar , Biswas Bhaskar , Jichkar Mihir Digamber , Jena Adarsh Nandan , Kumar Manish 
Published: November 2023

Abstract
The accurate estimation of motion in video sequences is a critical task in various computer vision applications, such as video compression, video surveillance, and autonomous navigation. Block matching is a popular method for motion estimation that involves finding the best match between blocks of pixels in consecutive frames. However, using a single block matching algorithm for the entire frame may not be efficient, especially when dealing with dynamic scenes containing moving objects. In this paper, we propose a novel approach for motion estimation using composite block matching algorithms based on object detection. Our method first detects the moving objects in the video frame using a deep learningbased object detection algorithm. Then, we use one block matching algorithm for the area of the frame where the objects are detected, and another block matching algorithm for the remaining part of the frame. The rationale behind using two different algorithms is that the area containing the objects usually has more complex motion patterns and may require a more sophisticated and rigorous algorithm than the rest of the frame. Our results show that the proposed method achieves higher accuracy and faster processing time compared to any single motion estimation methods. The composite block matching algorithm provides more accurate motion estimation in the object regions, leading to better object tracking and less motion artifacts. Moreover, the use of a simpler block matching algorithm for the non-object regions reduces computational overhead, making the overall process more efficient for compression surveillance video.
The Effect of Insourcing Strategy on Organizational Savings
Authors: Isaiah Henry Odigie , Olayide Asunmo Olakunle 
Published: November 2023

Abstract
The study aims to analyze the effect of insourcing initiatives on cost savings within organizations. The data was analyzed using the regression technique with the aid of Special Package for Social Science (SPSS). The regression result shows that cost-related insourcing and non-cost related insourcing have a significant effect on organizational cost savings. The study concluded that cost-related and non-cost-related insourcing are the main determinants of organizational cost savings. As a result, the study recommended that management should increase the level of non-cost-related insourcing, like insourcing product development functions to develop products more tailored to the needs of the customers, insourcing manufacturing operations to improve quality, insourcing marketing functions for better control of brand images, will result in more organizational saving.
Heat Transfer in Z-scan Experiments
Authors: Miedzinski Rafal , Fuks-Janczarek Izabela , Kassab Luciana R.P. 
Published: November 2023

Abstract
In this study, we present the results of theoretical calculations related to heat transfer in materials subjected to laser radiation, with a focus on Z-scan experiments. Utilising a computational approach, we employ explicit difference methods to model the temperature distribution in three-dimensional hexahedral samples of varying sizes, including [4x4x2]mm, [5x5x2]mm, and [6x6x2]mm. The simulations incorporate the effects of three distinct types of pulse lasers, each with duration of 10 (ns), 100 (ps), and 100 (fs). Laser parameters are tailored such that they yield a peak on-axis irradiance of 5 (GW/cm2).
The temperature distribution within the samples, denoted as T(x, y, z, t), is calculated using our novel laser heat source model, specifically designed for the simulated problem. This research is facilitated by our computational program, Z-lambda, which enables the simulation of thermal processes not only during but also after Z-scan experiments. The computed results reveal that analysing thermal aspects in Z-scan experiments necessitates considering factors such as laser pulse duration, sample geometry, laser repetition time, sample heating, and the experimental environment.
Our findings provide valuable insights into the intricacies of heat transfer during and after Z-scan experiments, shedding light on the interplay between laser parameters, sample properties, and thermal responses. This work enhances our understanding of thermal processes in the context of laser-induced heating, offering significant implications for the design and interpretation of Z-scan experiments.
Non-Lambertian surfaces and their challenges for visual SLAM
Authors: Pyykölä Sara , Joswig Niclas , Ruotsalainen Laura 
Published: November 2023

Abstract
Non-Lambertian surfaces are special surfaces that can cause specific type of reflectances called specularities. These specularities pose a potential issue in industrial SLAM, where non-Lambertian surfaces are aplenty naturally, as specularities can violate two common and basic assumptions of computer vision, namely the brightness and colour constancies, which assume that the brightness and colour of same real-world points stays constant across images. The performance of industrial navigation systems can as such be hindered by specularities.

This paper reviews fundamental surface reflectance models, modern state-of-the-art computer vision algorithms and two public datasets, KITTI and DiLiGenT, related to non-Lambertian surfaces' research. A new dataset, SPINS, is presented for the purpose of studying non-Lambertian surfaces in navigation and an empirical performance evaluation with ORB SLAM 3 is performed on the data. The paper concludes with discussion about the results of empirical evaluation and the findings of the survey.
Finiteness of Cohomology for Pro-locally Proper Maps
Authors: González Javier Sánchez 
Published: November 2023

Abstract

We introduce a notion of proper morphism for schematic finite spaces and prove the analogue of Grothendieck's finiteness theorem for it. As a corollary, this result generalizes the class of morphisms of schemes for which the conclusion of the aforementioned Theorem holds. The techniques we employ, which further develop the theory of schematic spaces and proschemes, are ultimately founded on descent properties of flat epimorphisms of rings that are applicable in other situations in order to weaken finite presentation requirements.
Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats
Authors: Fujima Himari , Kumamoto Takako , Yoshida Yunko 
Published: November 2023

Abstract
This study looked into the complex landscape of ransomware communications, utilizing advanced language models like ChatGPT to analyze ransomware messages. The research focused on identifying and interpreting the linguistic and strategic elements embedded in these communications. Key findings revealed a significant evolution in ransomware tactics, marked by sophisticated linguistic patterns and psychological manipulation strategies. The study emphasized the need for integrating advanced linguistic analysis tools within cybersecurity frameworks and advocates for customized cybersecurity education programs. Future research directions were proposed, including expanding the dataset and integrating diverse analytical methodologies. This research contributed to a deeper understanding of ransomware threats and offered insights into developing more effective cybersecurity measures against them.