bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structured group psychotherapies: Advantages, challenges, and possibilities
Authors: Kealy David , Kongerslev Mickey T. 
Published: July 2022

AbstractObjective: Structured group therapies offer the delivery of theory‐specific interventions combined with beneficial group processes. Usually time‐limited, such treatments present several advantages for both clinicians and patients. Methods: Several different models of structured group therapy are highlighted, with a brief description of their intended populations and treatment mechanisms. Results: Possibilities and challenges in the advancement of structured group psychotherapy are discussed. Conclusion: Further research and training efforts are needed to support the expansion of structured group treatments, which in turn may help to increase patient access to effective psychotherapy.
Psychological improvement in Employee Productivity by Maintaining Attendance System using Machine Learning Behavior
Authors: Santhose Samuel Sam , Anisha Baby 
Published: July 2022

AbstractFor a very long time, researchers, educationists, practitioners, and psychologists have tried to conduct extensive research on employee productivity at the workplace. It was firmly believed that positive traits of the employees positively affect the performance of employees at the workplace and, at the same time, increase the productivity of the organization. A few organizations have changed their organizational policies to improve employee performance by identifying individuals' positive traits. Positive psychology (PS), unlike traditional psychology, focuses on the positive traits of the individuals rather than on their negative aspects. Hence, this paper intends to analyze the important role of PS in improving employee productivity as well as analyze the psychological improvement in Employee Productivity by Maintaining Attendance Systems, Implementing Corporate Social Responsibility (CSR activities), Entrepreneurial Intentions (EI), and Machine Learning Behavior (MLB). This study paper investigates the role of attendance systems, CSR, EI, and MLB in enhancing the employees' productivity in a positive manner, which will eventually increase organizational productivity. This study proposes a research framework and hypothesis that explains the relationship between employee productivity and organizational attendance system, CSR, EI, and MLB. For this study, a questionnaire was prepared and distributed among the employees working in the selected organizations. These data verify the validity of the proposed hypothesis and research framework. Statistical approaches were employed to analyze the results of the proposed hypothesis. Results of the study found that by maintaining an attendance system, implementing CSR, EI, and MLB, employee performance can be improved positively, thereby increasing organizational productivity.
Focus variation due to near infrared laser in a confocal microscope
Authors: Matrecitos‐Avila Melissa , Avila Remy , Pimentel‐Domínguez Reinher , Cuevas Salvador , Tamariz Elisa , Loza‐Alvarez Pablo 
Published: July 2022

AbstractFocus precision and stability is crucial in confocal microscopy not only for image sharpness but also to avoid radiometric fluctuations that can wrongly be interpreted as variations of the fluorescence intensity in the sample. Here we report a focus variation provoked by a continuous wave laser of 810‐nm wavelength introduced along the optical path of an inverted confocal microscope with an oil immersion ×60 objective. When the laser is turned on or off, the focus position drifts toward lower or high values of the vertical coordinate z, respectively. The maximum drift observed was 2.25 𝜇m for a laser power of 40 mW at the sample and over a 600‐s exposure time. The temporal evolution of the focus position is well fitted by exponential curves that mimic temperature variations due to a heat source. Our analysis strongly suggests that the focus drift is due to heating of the immersion oil.
SARS‐CoV‐2 infection and lytic reactivation of herpesviruses: A potential threat in the postpandemic era?
Authors: Chen Jungang , Song Jiao , Dai Lu , Post Steven R. , Qin Zhiqiang 
Published: July 2022

AbstractThe outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), which is the causative pathogen for the coronavirus disease 2019 (COVID‐19) pandemic, has greatly stressed our healthcare system. In addition to severe respiratory and systematic symptoms, several comorbidities increase the risk of fatal disease outcomes, including chronic viral infections. Increasing cases of lytic reactivation of human herpesviruses in COVID‐19 patients and vaccinated people have been reported recently. SARS‐CoV2 coinfection, COVID‐19 treatments, and vaccination may aggravate those herpesvirus‐associated diseases by reactivating the viruses in latently infected host cells. In this review, we summarize recent clinical findings and limited mechanistic studies regarding the relationship between SARS‐CoV‐2 and different human herpesviruses that suggest an ongoing potential threat to human health in the postpandemic era.
Workability and corrosion behavior studies on sintered iron‐based hybrid powder metallurgy alloys
Authors: Palaksha Reddy Kathhi , Kandavel Thanjavur Krishnamoorthi , Nelson Raja Selvaraj 
Published: July 2022

AbstractSintered low carbon steels are developed using prealloyed and elemental powders to improve the mechanical properties of powder metallurgy and powder forged parts. The research focuses on the mechanism of workability and corrosion studies on sintered preforms of Alloy 1 (ATOMET4601 + 0.35%C) and Alloy 2 (ATOMET4601‐0.35%C‐0.25%Mn‐0.1%Si‐0.9%Cr). Sintered preforms of relative densities of 81%, 84%, and 90% were used for the present work. The preforms with 84% relative density have been used to study the formability parameters. It is observed from the experimental study that the Alloy 2 preforms with the addition of alloying elements have undergone lesser densification and deformation due to the work hardening mechanism. Corrosion studies have been carried out by conducting aqueous immersion and electrochemical corrosion tests on these two alloys using 18% HCl solution at different timings. It is found that the Alloy 2 has exhibited a better corrosion resistance than the Alloy 1 due to the addition of various alloying elements. It is also observed that the corrosion rate has decreased with an increase in densification irrespective of the alloys. The microstructures, scanning electron microscopy, and X‐ray diffraction of corroded surfaces have been corroborated with densification and the corrosion behavior of alloys.
Roseburia hominis Alleviates Neuroinflammation via Short‐Chain Fatty Acids through Histone Deacetylase Inhibition
Authors: Song Lijin , Sun Qinghua , Zheng Haonan , Zhang Yiming , Wang Yujing , Liu Shuangjiang , Duan Liping 
Published: July 2022

ScopeThe gut microbiota plays a prominent role in gut–brain interactions and gut dysbiosis is involved in neuroinflammation. However, specific probiotics targeting neuroinflammation need to be explored. In this study, the antineuroinflammatory effect of the potential probiotic Roseburia hominis (R. hominis) and its underlying mechanisms is investigated.Methods and resultsFirst, germ‐free (GF) rats are orally treated with R. hominis. Microglial activation, proinflammatory cytokines, levels of short‐chain fatty acids, depressive behaviors, and visceral sensitivity are assessed. Second, GF rats are treated with propionate or butyrate, and microglial activation, proinflammatory cytokines, histone deacetylase 1 (HDAC1), and histone H3 acetyl K9 (Ac‐H3K9) are analyzed. The results show that R. hominis administration inhibits microglial activation, reduces the levels of IL‐1α, INF‐γ, and MCP‐1 in the brain, and alleviates depressive behaviors and visceral hypersensitivity in GF rats. Moreover, the serum levels of propionate and butyrate are increased significantly in the R. hominis‐treated group. Propionate or butyrate treatment reduces microglial activation, the levels of proinflammatory cytokines and HDAC1, and promotes the expression of Ac‐H3K9 in the brain.ConclusionThese findings suggest that R. hominis alleviates neuroinflammation by producing propionate and butyrate, which serve as HDAC inhibitors. This study provides a potential psychoprobiotic to reduce neuroinflammation.
miR‐24‐3p regulation of retinol binding protein 4 in trophoblast biofunction and preeclampsia
Authors: Li Zhan , Ru Xiaoli , Wang Shuzhen , Cao Guangming 
Published: July 2022

AbstractPreeclampsia (PE) is a pregnancy‐related disease and is the leading cause of overall maternal mortality and morbidity. Our previous studies have shown that the serum and placental levels of retinol‐binding protein 4 (RBP4) in PE are reduced. Our previous bioinformatics analysis predicted that RBP4 is a target of the microRNA miRNA‐24‐3p. In this study, our database analysis also indicated that RBP4 is a miR‐24‐3p target. Compared with that of the normal placenta, the expression level of RBP4 in human PE placenta was significantly reduced, and miR‐24‐3p was highly expressed. In HTR‐8/SVneo cells, transfection of exogenous miR‐24‐3p reduced RBP4 expression. A dual‐luciferase reporter assay validated RBP4 as a direct target of miR‐24‐3p, indicating that it directly binds to the 3′‐untranslated region of RBP4. This binding was reversed by a mutation in the microRNA‐binding site. Transwell invasion experiments and CCK8 assay showed that inhibitory effect of miR‐24‐3p reduced RBP4 mediated HTR‐8/SVneo cell invasion and proliferation. These data provide a new overarching perspective on the physiological role played by miR‐24‐3p in regulating RBP4 during trophoblast dysfunction and PE development.
Measurement of apparent diffusion constant on the cross‐section of thin PVA films under a free swelling condition with a facile electronic device
Authors: Gao Meiling , Wan Xianglong , Lai Shengfa , Hu Kaiqiang , Chen Xihui , Zeng Fei , Chen Zhibo , Qian Yanfeng , Cui Hao , Zhu Jianghui , Ding Guoxin 
Published: July 2022

AbstractThe importance of predicting the diffusion coefficient to describe the diffusion process in glassy polymers is obvious. However, most of the direct measurements of diffusion coefficients are time‐consuming, expensive and system intrusive. Here, we report a facile method to measure the apparent diffusion constant on the cross‐section of thin PVA film with a device that is structured with a thin conductive film. The results can employ diffusion and the solution conductivity theory well. The diffusion time and the conductivity of the device are determined by the process of solution passing through the cross‐section of thin PVA film and reaching the conductive substrate. The data detected the apparent diffusion constant in diffusion and the concentration gradient of the solution on the interface between the PVA film and conductive film. This device provides a simple, rapid, and effective way to study the apparent diffusion constant in PVA film. It holds great potential in predicting the diffusion process of a thin glassy polymer film.
Mechanical properties of heat‐treated polypropylene separators for Lithium‐ion batteries
Authors: Moghim Mohammad Hadi , Nahvibayani Ashkan , Eqra Rahim 
Published: July 2022

AbstractLithium‐ion battery separators act as components that have a function of thermal shutdown at a specific temperature for safety issues. Exposing these separators at high temperatures, lower than the shutdown temperature, can affect the performance, structure, and properties of these batteries. In this research, the effect of thermal shrinkage on the structural characterization, thermal and mechanical properties, and ionic conductivity of a polypropylene (PP) lithium‐ion battery separator was studied. The obtained results showed that the PP separator had not any thermal shrinkage along the transverse direction (TD) at different temperatures, but thermal shrinkage along the machine direction (MD) increased from 1.2% at 100°C to 45.9% at 160°C. Heat treatment of the PP separator above 150°C resulted in no air permeability, and the porosities being completely closed. The yield strength along TD was increased due to thermal shrinkage and this behavior enhanced with heat treatment temperature to about 280%. Tensile properties of the separator showed strain‐rate dependency along MD and TD. The puncture failure mode of puncture test was changed from a zigzag surface along TD (failure mode B) at the low heat treatment temperature to cracks along MD at the higher temperature. Finally, the ionic conductivity was decreased from 0.7409 mS.cm−1 for the untreated sample to 0.6881 mS.cm−1 for the heat‐treated PP separator at 130°C.
Agglomeration in Composite Propellants Containing Different Nano‐Aluminum Powders
Authors: Cohen Ortal , Michaels Dan , Yavor Yinon 
Published: July 2022

AbstractIn order to improve nano‐aluminized solid propellant properties and performance, different materials are being investigated for coating nano‐aluminum particles. Two of the powders which are considered are V‐ALEX, a fluoropolymer (Viton) coated nano‐aluminum, and L‐ALEX, a stearic acid coated nano‐aluminum. It is believed that a thin layer of coating should protect the aluminum core from premature oxidation, as well as provide an exothermic source which may accelerate particle ignition, resulting in reduction of agglomeration.This paper investigates the effect on the agglomeration phenomenon of replacing 33 % of the micron aluminum powder with ALEX, V‐ALEX and L‐ALEX powders, in solid propellant samples containing 20 % HTPB, 65 % AP and 15 % aluminum. Propellant strands were burned inside a windowed pressure chamber, allowing measurements of the agglomerates size and number using a high‐speed camera.The experimental data showed that propellants in which 33 % of the micron aluminum was replaced with nano‐powders exhibited reduced agglomeration, in terms of number of agglomerates and their total volume. The reason is the lower ignition time and temperature of the nano‐powders that ignite before aggregating to agglomerates. The propellants containing ALEX nano‐powder exhibited a reduction of up to 36 % in agglomerates volume compared to the propellants containing only micron powder, while the propellants containing coated nano‐powders, L‐ALEX and V‐ALEX, showed a higher reduction of up to 60 % in agglomerates volume. V‐ALEX showed slightly better performance than L‐ALEX. It can be concluded that by replacing some of the micron‐aluminum with coated nano‐aluminum in solid propellants, it is possible to significantly reduce the propulsive losses due to agglomeration.
Shock Initiation and Detonation Parameters of Hexanitrohexaazaisowurtzitane (CL‐20)
Authors: Utkin Alexander , Mochalova Valentina , Zubareva Alla , Rykova Viktoriya , Sosikov Vasilii , Yakushev Vladislav 
Published: July 2022

AbstractExperimental studies of the reaction zone structure in hexanitrohexaazaisowurtzitane (CL‐20) at different initial densities with a multichannel VISAR laser interferometer have been carried out. It is shown that the flow in the reaction zone corresponds to the Zeldovich‐von Neumann‐ Döring theory with a characteristic reaction time of 50 ns. The dependence of the detonation velocity on the initial density is well approximated by a similar line for HMX with a charge diameter of 20 mm. With a decrease in diameter to 4 mm, a sharp drop in the detonation parameters of CL‐20 has been recorded. The initiation of detonation under shockwave action is investigated, and the comparison of data for CL‐20 and PETN has shown that their shockwave sensitivity is quite close. The experiments on the acceleration of thin steel plates by detonating CL‐20 charges have been performed, and it is found that its accelerating ability is higher than that of HMX and retarded RDX.
The design and analysis of vaccine trials for COVID‐19 for the purpose of estimating efficacy
Authors: Senn Stephen 
Published: July 2022

AbstractAfter a preliminary explanation as to how I came to know Andy Grieve and some remarks about his career and mine and how they have intersected, I consider the design and analysis of trials of vaccines for COVID‐19 for the purpose of estimating efficacy. Five large trials, run by the sponsors Pfizer/BioNTech, AstraZeneca/Oxford University, Moderna, Novavax and J&J Janssen are considered briefly. Frequentist approaches to analysis were used for four of the trials but Pfizer/BioNTech nominated a Bayesian approach. The design and analysis of this trial is considered in some detail, in particular as regards the choice of prior distribution. I conclude by drawing some general lessons.
Left upper lobectomy with combined distal aortic arch and left subclavian artery resection after neoadjuvant chemoradiotherapy for locally advanced lung squamous cell carcinoma
Authors: Takanashi Yusuke , Funai Kazuhito , Kawase Akikazu , Takahashi Daisuke , Sekihara Keigo , Matsubayashi Yuta , Hayakawa Takamitsu , Yamashita Katsushi , Shiiya Norihiko 
Published: July 2022

AbstractT4 locally advanced non‐small cell lung cancer (NSCLC) is a heterogeneous group with a great variety of involved organs and is associated with a poor prognosis. However, appropriately selected patients benefit from surgical resection. The surgical indication must be carefully considered based on the risk–benefit between high surgical stress and expected prognosis, particularly in cases with probable aortic involvement. Here, we report a long‐term survival case of left upper lobe squamous cell carcinoma, in which lobectomy and combined distal aortic arch and left subclavian artery resection achieved a complete resection after induction chemoradiotherapy (CRT). Appropriate patient selection considering expected prognosis, induction CRT and complete resection under well‐planned cardiopulmonary bypass are essential to achieve a long‐term survival on T4 NSCLC with a probable aortic involvement
Real‐time trajectory prediction of laparoscopic instrument tip based on long short‐term memory neural network in laparoscopic surgery training
Authors: Wang Ziheng , Yan Zhengxiang , Xing Yuan , Wang Honglei 
Published: July 2022

AbstractBackgroundTo provide appropriate surgical training guidance, some skill evaluation and safety detection methods have been developed. However, these methods are difficult to provide predictive information for trainees. This paper proposes a new approach for real‐time trajectory prediction of the laparoscopic instrument tip to improve surgical training and the patient safety.MethodsThis paper proposes a real‐time trajectory prediction model of laparoscopic instrument tip based on long short‐term memory (LSTM) neural network. Meanwhile, motion state is introduced to capture more motion information of the instrument tip and improve the model performance.ResultsThe feasibility, effectiveness and generalisation ability of this proposed model are preliminarily verified. The model shows satisfactory prediction accuracy for the trajectory of the laparoscopic instrument tip.ConclusionLSTM neural network can accurately predict the movement trajectory of the laparoscopic instrument tip. The prediction model can play a critical role in operational risk perception in advance, which can be used in laparoscopic surgery training.
Bemessung und Ausführung von Membrantragwerken nach prCEN/TS 19102
Authors: Uhlemann Jörg , Stimpfle Bernd , Stranghöner Natalie 
Published: July 2022

AbstractDer vorliegende Beitrag spiegelt die fortschreitende Entwicklung der ersten europäischen Bemessungsnorm für den Membranbau wider. Sie wird als CEN/TS 19102 „Design of tensioned membrane structures“ veröffentlicht werden. Neben Bemessungsregeln wird sie übergangsweise u. a. auch auf das Bemessungskonzept abgestimmte Ausführungsregeln beinhalten. Der aktuelle Stand der geplanten Regelungen dieser beiden Teilbereiche wird im Beitrag präsentiert.
Ship Encounter Scenario and Maneuvering Behavior Mining Based on AIS Data
Authors: Zhao Yinqiu , Suo Yongfeng , Xian Bo 
Published: July 2022

AbstractIn order to gain a deep understanding of the operation of different ships in different time states and understand the geographical distribution of the encounters of ships near Gulei Port and the maneuvering behavior patterns of ships in the port area, this essay is different from the traditional single ship versus multi-target ship research. Through the comprehensive processing and data regulation of Gulei Port AIS (Automatic Identification System) data, the ships with consistent temporal and spatial characteristics are found, and the time and geographical position of the voyage data are revised, which solves the problem of asynchronous data processing of multi-target ships at different times. By ship navigation data mining, obtaining the trajectory distribution of the ship under a certain time condition, the distribution of the encounter area, the geographical distribution of the speed, and the law of ship speed and heading changes triggered by the formation of the encounter, summing up the same behavioral characteristics of different ship maneuvering modes in the port area at low speed.
Natural mass hierarchy among three heavy Majorana neutrinos for resonant leptogenesis under modular A4 symmetry
Authors: Kang Dong Woo , Kim Jongkuk , Nomura Takaaki , Okada Hiroshi 
Published: July 2022

Abstract
It is clear that matter is dominant in the Universe compared to antimatter. We call this problem baryon asymmetry. The baryon asymmetry is experimentally determined by both cosmic microwave background and big bang nucleosynthesis measurements. To resolve the baryon number asymmetry of the Universe as well as neutrino oscillations, we study a radiative seesaw model in a modular A4 symmetry. Degenerate heavy Majorana neutrino masses can be naturally realized in an appropriate assignments under modular A4 with large imaginary part of modulus τ, and it can induce measured baryon number via resonant leptogenesis that is valid in around TeV scale energy theory. We also find that the dominant contribution to the CP asymmetry arises from Re[τ] through our numerical analysis satisfying the neutrino oscillation data.
Tri-photon at muon collider: a new process to probe the anomalous quartic gauge couplings
Authors: Yang Ji-Chong , Qin Zhi-Bin , Han Xue-Ying , Guo Yu-Chen , Li Tong 
Published: July 2022

Abstract
The muon collider has recently received a great deal of attention because of its ability to achieve both high energy and high luminosity. It plays as a gauge boson collider because the vector boson scattering (VBS) becomes the dominant production topology for Standard Model processes starting from a few TeV of collision energy. In this paper, we propose that the process of μ+μ− annihilation into tri-photon is also very sensitive to the search of anomalous quartic gauge couplings (aQGCs). We investigate the projected constraints on the transverse operators contributing to aQGCs through μ+μ− → Z*/γ* → γγγ at muon colliders. For the muon collider with $$ \sqrt{s} $$

s

= 3 TeV and $$ \mathcal{L} $$
L
= 1 ab−1, the expected constraints are about two orders of magnitude stronger than those at the 13 TeV LHC.
Inflation, electroweak phase transition, and Higgs searches at the LHC in the two-Higgs-doublet model
Authors: Wang Lei 
Published: July 2022

Abstract
Combining the Higgs searches at the LHC, we study the Higgs inflation in the type-I and type-II two-Higgs-doublet models with non-minimally couplings to gravity. After imposing relevant theoretical and experimental constraints, we find that the Higgs inflation imposes stringent constraints on the mass splitting between A, H±, and H, and they tend to be nearly degenerate in mass with increasing of their masses. The direct searches for Higgs at the LHC can exclude many points achieving Higgs inflation in the region of mH (mA) < 450 GeV in the type-I model, and impose a lower bound on tan β for the type-II model. The Higgs inflation disfavors the wrong sign Yukawa coupling region of type-II model. In the parameter space achieving the Higgs inflation, the type-I and type-II models can produce a first order electroweak phase transition, but vc/Tc is much smaller than 1.0.