bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence, Clinical Characteristics and Treatment of Patients with Resistant Hypertension: A Single-Center Study
Authors: Naydenov Stefan Naydenov , Manov Emil Ivanov , Runev Nikolay Margaritov
Published: July 2024

Background: Resistant hypertension (HTN) is associated with high risk of cardiovascular complications. Our study aimed to assess prevalence, characteristics and treatment of patients with resistant HTN; Methods: We screened 4340 consecutive cardiovascular patients and identified 3762 with HTN. Of them 128 fulfilled criteria for resistant HTN and were included in our study. We matched these patients to 128 hypertensive patients with controlled HTN; Results: Resistant HTN patients were 3.4% of all hypertensives. Most of these patients (67.2%) were at high or very high cardiovascular risk compared to controlled HTN patients (40.6%), p<0001. Resistant HTN patients had more frequently concomitant chronic kidney disease (CKD) (60.9%), overweight/obesity (52.3%), dyslipidemias (35.2%), smoking (27.3%) and diabetes (21.9%) compared to controlled HTN patients (37.5%, 29.7%, 28.1%, 14.1% and 7.8% respectively), p<0.001. Regression analysis showed strongest association of resistant HTN with CKD (OR 6.64), stage III HTN (OR 3.07) and obesity/overweight (OR 2.60). In contrast, single-pill combinations (SPCs) were associated with lower likelihood of uncontrolled HTN (OR 0.58); Conclusions: Resistant HTN represented a small proportion of all hypertensives in our study, but it was characterized by high/very high cardiovascular risk. Optimized therapy including increased usage of SPCs could improve blood pressure control and long-term prognosis of these patients.
The Occupational Information Network (O*Net) Content Model Guna Menumbuhkan Career Construction
Authors: Susilo Agus Tri , Asrowi Asrowi , Kholili Ma’rifatin Indah , Suryawati Citra Tectona , Dewantoro Adi
Published: July 2024

The objective of the research is to test the effectiveness of The Occupational Information Network (O*Net) Content Model to Develop Career Construction for Teachers in implementing guidance and counseling services in schools. The research method is experimental with single group pretest-posttest design. The research subjects were 30 of Special Job Fair Teachers and 30 of Guidance and Counseling Teachers in Boyolali Regency. The instrument used is the career construction scale. The data analysis technique uses a different test (paired sample t-test). Research activities include in service training and on the job training. The research results showed an increase in scores from the initial measurement (pretest) of teacher competency mastery in fostering career construction with the final measurement (posttest) of 32.509 with a significance value [2-tail] of 0.000. These results show the effectiveness of The Occupational Information Network (O*Net) Content Model to Grow Career Construction through the extraordinary commitment, hard work and desire to learn of Guidance and Counseling Teachers. The hope is that they will be able to carry out experiential learning in their respective schools so as to create many best practices that can be referred to by other Guidance and Counseling teachers.
PEMBERDAYAAN MASYARAKAT DALAM PENGURANGAN RISIKO BENCANA EROSI TEBING SUNGAI BENGAWAN SOLO DI DESA NGASINAN KECAMATAN BULU KABUPATEN SUKOHARJO
Authors: Muryani Chatarina , Aulia Bella Sabrina Putri , Pratama Daphne Juliannisa , Putri Henrieta Magdalena Gracia , Paulina Falarasika Anida , Indraswari Putri Faradila , Nurjihaan Berliana Syania , Aninditha Alma Tiara , Zaky Naufal Raka , Putra Novatama Ramadhan
Published: July 2024

Sungai Bengawan Solo selain membawa berkah juga membawa musibah. Salah satu bencana yang disebabkan oleh aliran Sungai Bengawan Solo adalah terjadinya erosi tebing sungai. Tulisan ini bertujuan untuk mendiskripsikan kondisi erosi tebing Sungai di Desa Ngasinan, Kecamatan Bulu, Kabupaten Sukoharjo dan upaya masyarakat bersama mahasiswa KKN Universitas Sebelas Maret dalam mitigasi bencana tebing Sungai tersebut. Metode yang digunakan adalah observasi lapangan, wawancara, sosialisasi, pelatihan. Hasil yang telah dicapai adalah (1) Eksperimen Serta Pemaparan Tentang Bencana Banjir dan Tanah Longsor Ke Sekolah Dasar, (2) Pengolahan Sampah sebagai Bentuk Pengurangan Resiko Bencana Banjir, (3) Sosialisasi Desa Tanggap Bencana di Desa Ngasinan, Kecamatan Bulu, Kabupaten Sukoharjo, (4) Sosialisasi Relawan Penanggulangan Bencana Desa Ngasinan, (5) Sosialisasi untuk Melibatkan Perempuan dalam Relawan Penanggulangan Bencana, (6) Sosialisasi Perlindungan Aset, (7) Pembuatan Tanda Penunjuk Arah ke Tempat Pengungsian Berdasarkan Peta Evakuasi, (8) Sosialisasi Peta Bahaya Bencana dan Jalur Evakuasi, (9) Pembuatan Video Dokumenter tentang Kebencanaan di Ngasinan. Selain kegiatan tentang pengurangan risiko bencana, mahasiswa KKN kelompok 14 juga berhasil memperbaiki data kependudukan online.
Behaviour change: The impact of consumer trust on product purchase decision making
Authors: Pasaribu Johni Paul Karolus , Nadapdap Jones Parlindungan , Trisilo Rismanto Gatot , Rahman Andi Halim , Ismayanti Pupung
Published: July 2024

Business is an interesting thing among young people today, where business programs continue to be promoted and become the main thing so that economic stability continues like a rolling wheel. The purpose of this study was to determine the impact of consumer behaviour on product trust through social media on purchasing decisions with respondents being social media users. Social media, an expansive digital landscape fostering communication and interaction, emerges not merely as a conduit for social engagement but significantly as a hub for the strategic promotion and marketing of products, amplifying consumer interest and engagement. The method used in this research is a quantitative method with a direct survey and a questionnaire, the research sample is 120 community respondents who actively buy products through social media. The profound revelations gleaned from this study unveiled a pivotal correlation: the palpable influence wielded by-product trust cultivated through social media channels on the decisions to purchase. Notably, the findings underscore the compelling and direct positive impact wielded by-product trust engendered via social media interactions on shaping and actualizing consumer purchasing behaviors.
Materia granular magnética en campos alternantes: un modelo macroscópico para entender fenómenos microscópicos en fluidos
Authors: Donado Pérez Fernando , Escobar López María de los Ángeles
Published: July 2024

En este trabajo argumentamos las bondades del uso de un sistema macroscópico basado en materia granular novibrada para modelar procesos en fluidos. Aunque claramente hay muchas diferencias con sistemas reales, algunos resultados provenientes de su estudio resultan interesantes y contribuyen al entendimiento de los fluidos a nivel de partículas individuales. Se aprovecha que los tiempos de relajación asociados a los sistemas macroscópicos son accesibles a las técnicas de vídeo estándar. El sistema es relativamente simple y puede ser modificado para modelar otros procesos en otros sistemas naturales.
¡Músculos y metal en armonía! Un robot con tejido muscular
Authors: Templos Marín Brandon Yahir
Published: July 2024

La robótica continúa avanzando con la creación de un nuevo hito: el robot bípedo biohíbrido. Investigadores japoneses combinaron materiales artificiales con tejido muscular para dar vida a este autómata, capaz de realizar movimientos complejos. Este avance marca el comienzo de una nueva era en la robótica, prometiendo una mayor agilidad y capacidad para ejecutar tareas cotidianas. El proceso de fabricación del robot involucró la creación del tejido muscular esquelético, la construcción del esqueleto y el montaje final, utilizando técnicas innovadoras como la impresión 3D. Este avance representa un paso significativo hacia el desarrollo de robots más funcionales e integrados en nuestra vida diaria.
Electroadhesión: la fusión entre materiales
Authors: Gonzalez Renteria Anett Giselle
Published: July 2024

Un estudio de la Universidad de Maryland demostró la capacidad que tienen los materiales conductores duros para adherirse a materiales acuosos blandos con la inducción de un campo eléctrico de corriente continua de 5 V, fenómeno denominado electroadhesión. Este fenómeno no solo demostró la capacidad de dos materiales distintos de unirse, sino que esta acción aparte de ser reversible aplicando el mismo campo eléctrico pero con polarización inversa, también puede realizarse debajo del agua. Este avance permite avances en la creación de nuevos materiales híbridos, facilitando nuevas aplicaciones en el área de robótica, electrónica y biomédica.
Electromagnetic compatibility of technical objects and systems: brief review of the main regulatory documents of the European Union and the Federal Republic of Germany
Authors: Panteliat Mykhailo , Miasoedov Pavlo , Lamash Heorhii
Published: July 2024

In June 2022, Ukraine received the status of a candidate country for joining the European Union (EU). And already at the end of 2023, the governing bodies of the EU decided to start negotiations on Ukraine's accession to the EU. On this path, Ukraine needs to carry out a significant amount of reforms, including fully adapting national legislation in accordance with European legislation. This also applies to the regulatory framework regarding electromagnetic compatibility. With this in mind, the article briefly describes the features, structure and application of modern regulatory documents on electromagnetic compatibility of technical objects and systems acting in the European Union at both the international (pan-European) and national level. Regarding a specific EU member state, the article reviews the Federal Republic of Germany as an example.
Monitoring system of dangerous and harmful factors in the production environment
Authors: Kalinchyk Vasyl , Pobigaylo Vitalii , Kalinchyk Vitalii , Borychenko Olena , Meita Aleksandr , Maidanskyi Ivan
Published: July 2024

The work presents the principles of building control systems of physical factors of the production environment. The set of information sources of control of physical harmful and dangerous factors of the production environment is considered as a set of sensors of random processes. It is shown that for the construction of a system of physical control of the production environment, it is expedient to use adaptive principles of system construction. The structural scheme of the system implementing the specified principle is presented.
Diagnostics of power cable insulation by using the methods of dielectric spectroscopy: overview of physical basis and features of practical application
Authors: Kostiukov Ivan , Borysenko Anatoliy , Lytvynenko Svitlana , Ilchakova Yana
Published: July 2024

The article provides an overview of the physical foundations and features of the application of diagnostic methods for the insulation of power cables using dielectric spectroscopy methods in the frequency and time domains. The relationship between the depolarization currents and the frequency spectrum of the complex dielectric constant is shown. An analysis of the factors determining the frequency dependence of the tangent angle of dielectric losses of paper and polyethylene insulation of power cables is given. The main types of reaction of dielectric materials with different levels of development of water channels at the level and frequency of the applied voltage are listed. According to the results of the analysis, it is shown that for high-voltage measurements, one of the factors that complicates the diagnosis of the insulation of power cables by analyzing the frequency dependences of the capacitance and the tangent of the dielectric loss angle is the distortion of the sinusoidal current through the dielectric due to the nonlinear dependence of the complex dielectric constant on the level of the applied voltage. A comparative analysis of dielectric spectroscopy methods in the frequency domain, involving high-voltage and low-voltage measurements of the complex dielectric constant, was carried out. The correlation between the tangent of the dielectric loss angle of paper insulation and its mechanical characteristics is shown
Enhanced Approaches to Gravitational Lensing: A Regular Charged Black Hole in Weak Field Limit
Authors: Din H. M. U. , Ramadhan H. S.
Published: July 2024

Gravitational lensing, an integral aspect of general relativity, profoundly impacts our understanding of black holes (BH’s). The presence of a centered singularity resulting from gravitational collapse is a fundamental characteristic of a BH Nonetheless, the exploitation of non-linear electrodynamics (NLED) divulges the emphatic concept of non-singularity. Our analysis primarily focuses on calculating the deflection angle in the weak field approximation, deliberately excluding the original spacetime configuration. The photon’s effective geometry is typically linked to NLED. Instead, a photon traverses an effective null geodesic that aligns with the geometry of a regular metric. The findings reveal an additional term in the deflection angle compared to the Reissner-Nordström (RN) metric, evidenced by a shifted positional displacement of the tertiary image associated with a regular BH This study succinctly encapsulates these findings, positioning them within the extensive terminology ambient to BH’s singularity and GL, thus edifying the scientific memoir with precise astrophysical insights.
WITHDRAWN: The multi-integrated DNA Bioinspired hydrogel with synergic effect of MB and AuNP with conductive, self-healing, and antibacterial properties as a wearable skin-like sensor
Authors: ELHAM elham , deigner Hans-Peter , faupel Franz , Tjardtsc Tim , daneshmand negin , altintase zynep
Published: July 2024

The full text of this preprint has been withdrawn by the authors as it was submitted and made public without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
A Unified Framework for Systematic Curation and Evaluation of Aging Biomarkers
Authors: Moqri Mahdi , Ying Kejun , Paulson Seth , Eames Alec , Tyshkovskiy Alexander , Li Siyuan , Perez-Guevara Martin , Emamifar Mehrnoosh , Martinez Maximiliano Casas , Kwon Dayoon , Kosheleva Anna , Snyder Michael , Gobel Dane , Herzog Chiara , Poganik Jesse , Gladyshev Vadim
Published: July 2024

Aging biomarkers are essential for understanding and quantifying the aging process and developing targeted longevity interventions. However, validation of these tools has been hindered by the lack of standardized approaches for cross-population validation, disparate biomarker designs, and inconsistencies in dataset structures. To address these challenges, we developed Biolearn, an open-source library that provides a unified framework for the curation, harmonization, and systematic evaluation of aging biomarkers. Leveraging Biolearn, we conducted a comprehensive evaluation of various aging biomarkers across multiple datasets. Our systematic approach involved three key steps: (1) harmonizing existing and novel aging biomarkers in standardized formats; (2) unifying public datasets to ensure coherent structuring and formatting; and (3) applying computational methodologies to assess the harmonized biomarkers against the unified datasets. This evaluation yielded valuable insights into the performance, robustness, and generalizability of aging biomarkers across different populations and datasets. The Biolearn python library, which forms the foundation of this systematic evaluation, is freely available at https://Bio-Learn.github.io. Our work establishes a unified framework for the curation and evaluation of aging biomarkers, paving the way for more efficient and effective clinical validation and application in the field of longevity research.
Assessing ChatGPT 4.0’s Capabilities in The United Kingdom Medical Licensing Examination (UKMLA): A Robust Categorical Analysis
Authors: Casals-Farre Octavi , Baskaran Ravanth , Singh Aditya , Kaur Harmeena , Hoque Tazim Ul , Almeida Andreia , Coffey Marcus , Hassoulas Athanasios
Published: July 2024

Advances in the various applications of artificial intelligence will have important implications for medical training and practice. The advances in ChatGPT-4 alongside the introduction of the medical licensing assessment (MLA) provide an opportunity to compare GPT-4’s medical competence against the expected level of a United Kingdom junior doctor and discuss its potential in clinical practice. Using 191 freely available questions in MLA style, we assessed GPT-4’s accuracy with and without offering multiple-choice options. We compared single and multi-step questions, which targeted different points in the clinical process, from diagnosis to management. A chi-squared test was used to assess statistical significance. GPT-4 scored 86.3% and 89.6% in papers one-and-two respectively. Without the multiple-choice options, GPT’s performance was 61.5% and 74.7% in papers one-and-two respectively. There was no significant difference between single and multistep questions, but GPT-4 answered ‘management’ questions significantly worse than ‘diagnosis’ questions with no multiple-choice options (p = 0.015). GPT-4’s accuracy across categories and question structures suggest that LLMs are competently able to process clinical scenarios but remain incapable of understanding these clinical scenarios. Large-Language-Models incorporated into practice alongside a trained practitioner may balance risk and benefit as the necessary robust testing on evolving tools is conducted.
Functional anatomy and topographical organization of the frontotemporal arcuate fasciculus
Authors: Basile Gianpaolo Antonio , Nozais Victor , Quartarone Angelo , Giustiniani Andreina , Ielo Augusto , Cerasa Antonio , Milardi Demetrio , Abdallah Majd , de Schotten Michel Thiebaut , Forkel Stephanie J. , Cacciola Alberto
Published: July 2024

Traditionally, the frontotemporal arcuate fasciculus (AF) is viewed as a single entity in anatomo-clinical models. However, it is unclear if distinct cortical origin and termination patterns within this bundle correspond to specific language functions. We used track-weighted dynamic functional connectivity, a hybrid imaging technique, to study the AF structure and function in a large cohort of healthy participants. Our results suggest the AF can be subdivided based on dynamic changes in functional connectivity at the streamline endpoints. An unsupervised parcellation algorithm revealed spatially segregated subunits, which were then functionally quantified through meta-analysis. This approach identified three distinct clusters within the AF - ventral, middle, and dorsal frontotemporal AF - each linked to different frontal and temporal termination regions and likely involved in various language production and comprehension aspects.
Impact of Arteriovenous Fistula Closure on Cardiac and Renal Function in Renal Transplantation Patients
Authors: Tawfik Hisham Mostafa , Mohamed Mohamed Alaa El Dine , Shaarawy Mohamed Ahmed , Mohamed Mahmoud Ragab , Fathy Basma
Published: July 2024

Background: Due to the rapid expansion of numerous national and international transplantation programs, hemodialysis (HD) and peritoneal dialysis (PD) have become vital interim treatments for patients awaiting kidney transplantation.
Aim and objectives: Assessment of the effects of AV fistula ligation on cardiac and renal function in post-kidney transplant patients.
Patients and methods: A total of 98 kidney transplant recipients were divided into two groups: patients with closed arteriovenous fistula (AVF) (46) and patients with patent AVF (52). The study was done in outpatient nephrology clinics at Minia University and Minia Governorate Insurance Hospital.
Results: There was significant variation in terms of major and minor right-side diameter, IVC, PASP, MPAP, left ventricular hypertrophy, and left ventricular DD. In addition, there was a significant difference between the two groups regarding serum creatinine, urea, and eGFR.
Conclusion: AVF closure in renal-transplant patients can protect against severe cardiac changes and deterioration of eGFR.
Study on dynamic mechanical properties of steel fiber reinforced reactive powder concrete after high temperature
Authors: Feng Xinyu , Li Haiyan , Li Le , Fan Chengkun
Published: July 2024

This paper focuses on the dynamic mechanical properties of steel fiber reinforced reactive powder concrete (SFRPC) after high temperatures. Three kinds of reactive powder concrete (RPC) specimens with steel fiber volume fractions of 1%, 2% and 3% were prepared, and the impact compression tests of specimens treated at different temperatures (25℃, 200℃, 400℃, 600℃, 800℃) were carried out by Φ50 mm split Hopkinson pressure bar (SHPB). Accordingly, the dynamic stress-strain curves and various dynamic mechanical properties are obtained. Based on the modified Z-W-T constitutive model, the dynamic damage constitutive model of steel fiber reinforced RPC considering heating temperature and fiber content are derived to compare with the experimental results. The results show that the steel fiber has a significant effect on improving the deformation resistance and energy absorption capacity of RPC. The dynamic compressive strength shows strong strain rate dependence, and increase approximately linearly with the increase of average strain rate. High temperature has an obvious effect on the properties of RPC materials. The dynamic compressive strength, toughness and dynamic elastic modulus of RPC increase first and then decrease with the boundary of about 400℃. When the temperature reaches 800℃, the reinforcing effect of steel fiber is basically lost. The dynamic damage constitutive model curves coincide quite well with the stress-strain curves obtained from the test.
Influenza A Virus Employs Nei Endonuclease VIII-Like 1 (NEIL1) to Strength vRNP Function and Block IFN-β Production
Authors: Zhang Huixia , Li Changyan , Sun Ruiqi , Zhang Xinyi , Li Zexing , Hua Deping , Yin Boxuan , Yang Liu , Zhang Lilin , Huang Jinhai
Published: July 2024

Influenza A virus (IAV) has developed multiple tactics to hinder the innate immune response including the epigenetic regulation during IAV infection, but the novel epigenetic factors and their mechanism in innate immunity remain well studied. Here, through a non-biased high-throughput sgRNA screening of 1041 known epigenetic modifiers in a cellular model of IAV-induced interferon-beta (IFN-β) production, we identified nei endonuclease VIII-like 1 (NEIL1) as a critical regulator of IFN-β in response to viral infection. Further studies showed that NEIL1 promoted the replication of the influenza virus by regulating the methylation of cytonuclear IFN-β promoter (mainly CpG-345), inhibiting the expression of IFN-β and IFN-stimulating genes. The structural domains of NEIL1, especially the catalytic domain, were critical for the suppression of IFN-β production, but the enzymatic activity of NEIL1 was dispensable. Furthermore, our results revealed that NEIL1 relied on interactions with the N- and C-terminus of the nucleoprotein (NP) of IAV, and NEIL1 expression facilitated the entry of the NP into the nucleus, which further enhanced the stability of the viral ribonucleoprotein (vRNP) complex and thus contributed to IAV replication and transcription. These findings reveal an enzyme-independent mechanism of host NEIL1 that negatively regulates IFN-β expression, thereby facilitating IAV propagation. Our study provides new insights into the roles of NEIL1, both in directly promoting virus replication and in evading innate immunity in IAV infection.
A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm
Authors: Aiordachioaie Dorel
Published: July 2024

An important paradigm in industrial engineering for fault detection and diagnosis purposes is signal processing. The various methods consider methods in the time, frequency or time-frequency domain for signal processing as state and output signals from the considered process. The objective of this work is to perform a comparative analysis of the most commonly used methods based on a signal processing paradigm and in the context of fault detection and process diagnosis. The electromechanical equipment that generates mechanical vibrations—as an effect of bearing faults—is considered and analyzed. The recorded data are explored with smaller and sliding frames, adapted to the processing criteria used. Seven methods are considered for evaluation: two in the time domain, two in the frequency domain and three in the time-frequency domain. The main problem is to extract and select the right features to use in the classification stage. The methods of the time domain are based on statistical moments and signal modeling. The methods in the frequency domain use either the discrete components of power spectra or the features of the frequency domain. In the time-frequency domain, the coefficients of the time-frequency transforms define digital images, which are further processed. For testing, the methods are evaluated with real recorded data from bearings with several types and sizes of faults, i.e., incipient, medium, advanced, and large. Finally, the considered methods are compared from the point of view of five criteria, namely, the recognition rate, window length, response time, computational resources, and complexity of the algorithms. A global quality criterion is built and used to assess the quality of the methods. The computer-based simulation results show acceptable performance for all methods for the test case of bearings but the potential to detect more complex faults and change detection in the behavior of the machines, in general. Time-frequency methods offer an optimum.
Support-absorption composite clamping static response prediction and clamping deformation suppression
Authors: Fang Rui , Liu Haibo , Zhao Jiulong , Chen Ran , Chai Xingliang , Bo Qile , Li Te , Wang Yongqing
Published: July 2024

Thin-walled spherical shells are weakly rigid and prone to clamping deformation under clamping force, which will affect machining accuracy. In this paper, the support-absorption composite clamping method is proposed and the in-situ conformal clamping strategy is obtained through the deformation coordination optimization. Firstly, the thin-walled spherical shell static response model is established, and the displacement analytic solution of equivalent constraint superposition is proposed by decoupling load and boundary constraint and Reisner's force-displacement hybrid method. Then, the vacuum generation of the Laval nozzle and pressure regulation mechanism is elucidated, and the matching mechanism of vacuum degree and spring support is revealed. Considering the support and adsorption deformation coordination optimization, the in-situ conformal clamping model is constructed. Next, the simulation explores the response of thin-walled spherical shells at different positions and adsorption effects on different wall thicknesses. The applied velocity ratio of the load in in-situ conformal clamping is analyzed. Finally, comparative experiments with different clamping methods are carried out and the results show that: Larger deformation in the top ± 10° range. The average prediction error of the theoretical model is 11.97%. With a larger load, the larger deformation, and recommended to control within 0.5Mpa. A larger number of partitions isn't recommended, nonlinearities could cause larger acceleration mutations. The thinner the thickness or the smaller the support load, the support-adsorption composite clamping effect is more obvious, the maximum can reduce the clamping deformation by 64.3%. In-situ conformal clamping method can reduce the deformation of the clamping process by 33.3%.
Retrospective analysis of Vogt-Koyanagi-Harada’s recurrence within a case series of nineteen patients followed between 2003 and 2018 in an academic center
Authors: Kozyreff Alexandra , Bughin Alice , Lefebvre Chantal , Pothen Lucie , Yildiz Halil
Published: July 2024

Purpose: to define a timeframe of recurrences according to the clinical presentation of the inflammation and to the course of the disease. This could influence the final visual acuity and avoid ocular complication such as cataract, glaucoma, choroidal neovascularization, subretinal fibrosis or fundus depigmentation.
Material and methods: retrospective study of nineteen patients affected of Vogt-Koyanagi-Harada disease followed between 2003 and 2018.
Results: within our case series, 53% of our patients had no recurrence during a follow-up up to one hundred and sixty-eight months. Among the nine patients presenting a recurrence, five had at least one episode of posterior inflammation, one exhibited anterior and posterior recurrence, and five developed at least one recurrence in anterior structures.
According to the Kaplan Meier’s method, the overall survival without any recurrence at three months is equal to 68% ± 11%. All posterior segment inflammatory relapses occurred within three months and a half of initiation of systemic treatment. On the other hand, the timeline of anterior recurrence is more scattered. They appeared between two and thirty-seven months.
This careful follow-up distinguishing the type of inflammatory recurrence made it possible to find final visual acuity greater than or equal to 9/10 (equivalent ≥ 20/25), with the exception of one amblyopic eye.
Conclusion: The chronological occurrence of inflammatory episodes is earlier posteriorly than anteriorly. A posterior recurrence does not expose to a higher risk of anterior inflammation relapse during the follow-up. This distinction is important for understanding understandig the course of the disease. In fact, the differentiation between the initial acute phase (mainly posterior inflammation) and chronic recurrences (granulomatous anterior segment inflammation) allows better adaptation of systemic therapy and better visual prognosis in the long term.
The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches toppings
Authors: Kok Esther , Chauhan Aneesh , Tufano Michele , Feskens Edith , Camps Guido
Published: July 2024

Accurate measurement of dietary intake without interfering in natural eating habits is a long-standing problem in nutritional epidemiology. We explore the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept which automatically detects food ingredients inside closed sandwiches. Individual spectra were selected from 24 hyperspectral images of assembled closed sandwiches, preprocessed with SNV-filtering, derivatives, and subsampling, and fed into a multilayer perceptron. The resulting models had an accuracy score of ~ 80% prediction of the type of bread, ~ 60% for predicting butter, and ~ 24% for filling type. Further analysis on non-homogeneous mixed food items, using computer vision techniques, will contribute towards a generalizable system. While there are still significant technical challenges to overcome before such a system can be routinely implemented in studies of free-living subjects, we believe it holds promise as a future tool for nutrition research and population intake monitoring.
Parallel Hash Algorithm Based on Cellular Automata and Stochastic Diffusion Model
Authors: Yang Yijun , Wan Huan , Yan Xiaohu , Zhao Ming , Zeng Jianhua , Li Bin
Published: July 2024

The development of a cryptographic hash algorithm is a crucial task due to its numerous practical applications, such as digital signatures, blockchain, and distributed systems. Constructing a novel and efficient hash algorithm that meets the high security requirements is a challenging endeavor. This study introduces a cryptographic parallel hash algorithm based on cellular automata and a stochastic diffusion model, referred to as PCASD. The article delves into the rules of cellular automata, classifies 88 types of equivalent class rules, and utilizes random chaotic rules to generate keys for iterative processes. The stochastic diffusion model optimizes parameters to achieve optimal safety performance indicators. The parallel iteration structure allows for simultaneous execution of different branches, ultimately resulting in a hash value. The experimental results demonstrate that the proposed parallel hash algorithm outperforms popular hash functions in terms of randomness, avalanche, information entropy, collision resistance, and efficiency, indicating its practical feasibility.
Defining the Temporal Transcriptomic Landscape of a Viral Pathogen through Nanopore and CAGE sequencing
Authors: Tombácz Dóra , Kakuk Balázs , Torma Gábor , Fülöp Ádám , Dörmő Ákos , Boldogkői Zsolt , Gulyás Gábor , Csabai Zsolt
Published: July 2024

A member of the Varicellovirus genus of herpesviruses, equid alphaherpesvirus 1 (EHV-1) was subjected to timescale profiling in this research. We employed cap analysis gene expression sequencing (CAGE-Seq) on Illumina platform to determine the transcript start sites alongside long-read direct cDNA sequencing (dcDNA-Seq) on Oxford Nanopore Technology platform to detect full-length viral transcripts. Samples were collected at nine distinct stages of the viral lifecycle, with triplicates taken at each stage. We also applied protein synthesis inhibition to determine the immediate-early gene expression of the virus. Analysis of the time-course expression of the viral transcripts using dcDNA-Seq allowed their kinetic categorization. Moreover, the EHV-1 transcriptome was reannotated using CAGE-Seq, long-read dcDNA-Seq, and our previous data obtained from native RNA sequencing.
An experimental test of dispersal limitation of species diversity in eelgrass meadows
Authors: Forbes Coreen , Hessing-Lewis Margot , O’Connor Mary I.
Published: July 2024

Biogenic habitats, including eelgrass, support productive and diverse species assemblages in spatially heterogeneous seascapes. Eelgrass-associated faunal diversity depends not only on conditions within each eelgrass meadow but also on their probability of dispersing among eelgrass meadows in a seascape in which meadows are separated by soft sediments, kelp or rocky habitats. Experiments are required to establish dispersal limitation in communities. Here, we experimentally tested the hypothesis that dispersal limitation and edge effects influence local faunal diversity in eelgrass meadows. We manipulated habitat spacing and exposure of standardized substrate and quantified invertebrate colonization. We predicted that invertebrate species richness would decline with increasing distance from the meadow edge and that mobility traits would covary with species’ responses to distance. We also predicted that eelgrass edges would harbor communities distinct from the interior of the meadow and that these differences would covary with species’ trophic traits. We found that species richness decreased with increasing distance from meadows and this pattern was not explained by reduced abundance or filtering of species based on traits, consistent with dispersal limitation of diversity. Edges did not affect total community richness or abundance, and the only trait that varied with meadow-position was average body size, which was larger within the meadow interior. These results suggest that even short-distance dispersal limitation can structure the eelgrass invertebrate community but that communities of similar richness, trait profiles and abundance will colonize all available habitat in the absence of dispersal barriers.
Parameter Estimation of Photovoltaic Models Based on Enhancement Moutain Gazelle Optimizer Algorithm
Authors: AbdElminaam Diaa Salama , Alluhaidan Ala Saleh , Elashmawi Walaa H. , Farahat Ibrahim Shawky , Tawil Arar Al , Nabih Sandy Adel , El-Rahman Sahar A.
Published: July 2024

Accurate parameter estimation in photovoltaic (PV) system design and simulationis essential for optimizing performance. Traditional numerical, analytical,and hybrid methods often fail to deliver quick and precise results. This researchintroduces enhancements to three fundamental PV models (single-diode, doublediode,and three-diode) and employs the Improved Mountain Gazelle Optimizer(i_MGO) algorithm for parameter extraction. The innovative objective functionproposed aids in minimizing the discrepancy between calculated and measuredvalues. Rigorous experimental validation demonstrates that i_MGO outperformsexisting algorithms, achieving optimal parameter values with minimal rootmean square error (RMSE). The experimental findings illustrate that i_MGOperforms better than the following competing algorithms: Improved MountainGazelle Optimizer (i_MGO), Harris Hawks Optimization (HHO), LightningAttachment Procedure, Optimization Algorithm (LAPO), Sine Cosine Algorithm(SCA), Grey Wolf Optimizer (GWO), African Vultures Optimization Algorithm(AVOA), Hippopotamus Optimization Algorithm (HO), Electric Eel ForagingOptimization (EEFO), Synergistic Swarm Optimization Algorithm (SSOA),Coati Optimization Algorithm (COA), Gazelle Optimization Algorithm (GOA).This comparison demonstrates that the parameters extracted by i_MGO areoptimal, as the discrepancy between measured and calculated data is minimal.The optimal RMSE values for SDM, DDM, and TDM, as determined bythe proposed i_MGO algorithm, are 0.00081373, 0.00073908, and 0.00092975,correspondingly.
Perspectives of business members on physical and virtual harm reduction services in Canada: A Qualitative Study
Authors: Sedaghat Navid , Dhanoa Avnit , Viste Dylan , Rider Nathan , Rioux William , Seo Boogyung , Ghosh S. Monty
Published: July 2024

Background: The opioid epidemic has claimed many lives. Harm reduction strategies have been implemented to reduce overdose mortality and improve health outcomes. Supervised consumption sites (SCS) and their virtual counterparts are interventions to reduce overdose harms by enabling prompt response should an individual become unresponsive while using substances. In this study, we sought to explore the business community's perspectives with commercial space near SCS across Canada on these harm reduction strategies and virtual services.
Methods: Twenty-three business owners and staff within 1 kilometre of an SCS were recruited across Canada. Inductive thematic analysis using grounded theory was employed to identify themes.
Results: The top three concerns for businesses close within 100m of an SCS were needles on the ground around their business (66.7%), drug-related garbage near their business (58.3%) and people using substances beside their building (58.3%). Those 100m further away from an SCS were concerned with substance use in the bathrooms and theft (44.4%), as well as human waste on site (22.2%). Six themes were identified: (1) participants believed that diverting individuals from SCS could improve the quality of care given by the SCS; (2) access to bathrooms has been a common source of conflict between people who use substances (PWUS) and business owners and staff; (3) substance use and associated disruptions have been on the rise since the COVID-19 pandemic with increasing substance use-related litter (e.g., needles) around the businesses; (4) many businesses feel compassion fatigue when interacting with PWUS; (5) harm reduction services were positively viewed by most participants, with some expressing concern that they could be enabling drug use; (6) virtual harm reduction services were seen necessary and an additional tool in the toolkit with disadvantages being lack of access to a phone and no immediate help available in case of an overdose.
Conclusion: This study provides important business insights on harm reduction strategies to understand their viewpoint on SCS and virtual services. Furthermore, the study identifies areas for potential improvement in both overdose prevention interventions and identifies improvements. Virtual services have the potential to expand within communities and improve health outcomes.
The effects of physical exercise on college students' anxiety: mediation of body esteem and moderation by gender
Authors: Huang Weijun , Liang Yuxi , Zhang Junliang , Deng Yixuan , Liu Luhuan
Published: July 2024

Objective
This study investigated how physical exercise impacts anxiety levels in college students, with a particular emphasis on physical self-esteem as a mediating factor and gender as a moderating factor.
Methods
Data were collected from 1044 Chinese college students in a specific region using the Physical Activity Scale, Self-Rating Anxiety Scale, and Physical Self-Esteem Scale.
Results
(1)A significant inverse correlation was found between physical exercise levels and anxiety among college students.(2) Physical self-esteem served as a mediator in the relationship between physical exercise and anxiety levels, indicating that increased physical exercise enhances physical self-esteem, which in turn reduces anxiety levels. (3) Gender moderated the relationship between physical exercise and anxiety levels, with physical exercise being a stronger predictor of reduced anxiety in female college students than in male college students.
Conclusion
This research model offers a theoretical foundation for preventing and intervening in college students' anxiety and holds practical significance for improving their mental health.
Syntax comprehension in Persian-speaking students with ADHD
Authors: Massoodi Armon , Ahmadi Akram , Haghjou Hanieh , Larimian Marjan , Mazandarani Mohammadhasan , Nikbakht Hossein-Ali , Pascoe Michelle , Ahmadzadeh Saba , Koohestani Faezeh
Published: July 2024

The research aimed to compare syntactic comprehension in children (aged 7–10 years) with attention deficit hyperactivity disorder (ADHD) and typically-developing (TD) children. The Persian Syntax Comprehension Test (PSCT) was administered to 70 children diagnosed with ADHD and 70 typically-developing children. Syntactic items measured by this scale were graded in terms of complexity and results were compared for the two groups. A statistically significant difference between the two groups was found when comparing PSCT scores as well as its components including simple, moderate, and complex structures (p < 0.001). Among the obtained effect size values, the highest value was for the difference between TD and ADHD children for the complex syntactic structures (SMD = 0.72, 95% CI (0.38–1.06)). In terms of the item-by-item analysis, TD children performed significantly better on more than half of the items of the PSCT than children with ADHD. Persian-speaking children with typical development in the age range 7–10 years outperformed children with ADHD on syntax comprehension. The most significant difference between two groups was in the complex syntactic structures.
Clinical analysis of Pneumocystis jiroveci pneumonia secondary to novel coronavirus infection：a case series
Authors: Wang Shayan , Chen Yanfan
Published: July 2024

Background:
Pneumocystis jiroveci pneumonia (PJP) is one of the common opportunistic infectious diseases of thelungs in immunosuppressed populations. With the global epidemic of the Delta variant of the novel coronavirus (SARS-CoV-2), it has been found that patients with novel coronavirus pneumonia can have concurrent or subsequent co-infection with Pneumocystis jiroveci. The purpose of this paper was to investigate the clinical characteristics and diagnosis and treatment of patients with Pneumocystis jiroveci pneumonia (PJP) secondary to novel coronavirus (COVID-19) infection.
Methods: Clinical data of 14 patients with Pneumocystis jiroveci pneumonia secondary to novel coronavirus infection diagnosed in the First Hospital of Wenzhou Medical University from September 2022 to May 2023 were collected, and their general conditions, laboratory tests, imaging data, and treatments and regressions were analyzed.
Result: Secondary PJP occurs more often in patients with severe novel coronavirus infection with immunocompromised patients and manifests itself as dyspnea and a significant decrease in arterial oxygen saturation higher than that of the average COVID-19 patients. Laboratory tests suggest a decrease in lymphocyte subset counts, absolute CD4+ T-cell counts, and elevated differential partial pressure of alveolar arterial blood oxygen, lactate dehydrogenase (LDH), and serum (1,3)-β-D-glucan (BDG). Metagenomic Next-Generation Sequencing (mNGS) combined with serum (1,3)-β-D-glucan (BDG) has a higher sensitivity for screening PJP. On chest imaging, it is mostly characterized by the crescent sign, pleural effusion, and enlarged hilar and mediastinal lymph nodes.
Conclusions:
It is difficult to identify PJP in the early stage of COVID-19 infection, and the combination of respiratory symptoms with BDG, mNGS and imaging examination is of great value for the early diagnosis of PJP. SMZCO and respiratory support are the most important treatments.
The causal relationship between sleep characteristics and skin pigmentation abnormalities based on two-sample Mendelian randomization
Authors: Liu Yang , Pu Yun , Kang Qiao , Zhao Qing , Chen Xinming , Liao Feng wan , He Yunsheng , Zhao Pingwu
Published: July 2024

Objective To study whether there is a causal association between sleep characteristics and abnormalities of skin pigmentation (Skin pigmentation).
Methods Two-sample Mendelian randomization method (MR) using published genome-wide association studies to obtain related exposure factors (SNPs) of sleep characteristics (sleep type, sleep duration) as instrumental variables, MR-gger, weighted median, inverse variance weighted (IVW) random effect model to study the causal effect of sleep characteristics on the risk of skin pigmentation, and MR-Egger sensitivity analysis to verify the reliability of the data.
Results: There is a causal relationship between sleep type and abnormal skin pigmentation, different from intermediate type, with obvious preference characteristics: early go to bed, early or late onset will significantly increase the risk of skin pigmentation as a risk factor for skin pigmentation. [IVW random effect model: OR = 1.026,95%CI (1.011,1.041), P =0.001, P <0.05]. However, there was no causal relationship between skin pigmentation and sleep duration.
Conclusion: Sleep time type (early / late) may increase the incidence of skin pigmentation, with sleep type (early / late) and skin pigmentation.
Preparation of hard carbon from acid-treated biomass locust wood as anode material for sodium-ion batteries
Authors: Huo Junjie , Li Chuanyang , Xia Peng , Fan Na , Mao Wutao , Bao keyan
Published: July 2024

Currently, sodium-ion batteries (SIBs) are favored by scientific researchers because of their abundance, low cost, and high safety. Furthermore, hard carbon has a low voltage plateau and a high sodium storage capacity when used as the anode material in SIBs. Given its affordability and variety of sources, biomass hard carbon has gained interest. Whereas, the low initial coulombic efficiency (ICE) of biomass hard carbon significantly hinders its development. Therefore, waste biomass locust wood was utilized to produce hard carbon at various carbonization temperatures. The appropriate carbonization temperature was selected for precursor modification using 6 M HCL, to look into how acid treatment affects the microstructure of carbon materials and how that affects their electrochemical characteristics.
The experimental results proved that the HCL pretreated hard carbon could increase the carbon layer spacing, increase more surface active sites that favor Na+ storage and decrease the specific surface area. HC-1500 and HHC-1500 possessed a first lap charge specific capacity of 319.6 mAh/g and 382.3 mAh/g, respectively, with an increase in the ICE from 62% to 67%, and also had a significant improvement in the cycling performance. Therefore, treating waste biomass with hydrochloric acid is a direct and effective method to modify hard carbon and improve the electrochemical performance of it.