bluuebunny/crossref_metadata_2025 huggingface dataset:
When Is a Two-Stage Surgical Procedure Indicated in the Treatment of Pseudotumors of the Hip? A Retrospective Study of 21 Cases and a Review of the Literature
Authors: Cerchiaro Mariachiara , Trovarelli Giulia , Angelini Andrea , Pala Elisa , Berizzi Antonio , Biz Carlo , Ruggieri Pietro
Published: January 2024

(1) Background: Pseudotumor of the hip is a sterile, non-neoplastic soft tissue mass associated with total hip arthroplasties. Pseudotumors may mimic soft tissue tumors, or infections, so the differential diagnosis is crucial and biopsy is recommended. The purpose of this study was to compare complications and functional results between one-stage and two-stage procedures. (2) Methods: We retrospectively analyzed 21 patients surgically treated at our Institution with “pseudotumor” associated with hip prosthesis (8 male,13 female; mean age 69 years). One-stage revision was performed in 10 cases, two-stage in 10, excision only in one case. Complications were classified as major and minor and functional results assessed using the Harris Hip Score (HHS). (3) Results: Five patients (24%) reported major complications. Survival rate to all com-plications was 75%. Overall survival was 95% at five years. Mean HHS went from 35 pre-operative to 75 post-operative, highlighting improved functional results in all cases. We rec-orded no differences in complications and functional outcome between one and two-stage proce-dures. (4) Conclusions: In our experience, two-stage surgical approach is preferable in cases with major bone defects and larger pseudotumor size. The use of custom-made 3D-printed prostheses is increasing and is a further reason to prefer two-stage revision.
A Multi-head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data
Authors: Lombardo Gianfranco , Pellegrino Mattia , Cagnoni Stefano , Adosoglou George , Pardalos Panos , Poggi Agostino
Published: January 2024

With the recent advances in Machine Learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies’ bankruptcy. However, time series have received little attention in literature with a lack of studies on the application of Deep Learning sequence models as Recurrent Neural Networks (RNN) and the recent Attention-based models in general. In this research work, we investigated the application of Long Short Term Memory (LSTM) networks to exploit time series of accounting data for bankruptcy prediction. The main contributions of our work are the following: a) we have proposed a Multi-head LSTM that models each financial variable in a time window independently and compared it with a single-input LSTM and other traditional ML models. The Multi-head LSTM outperforms all the other models; b) We identify the optimal time series length for bankruptcy prediction to be equal to 4 years of accounting data; c) We made public the dataset we used for the experiments that include data from 8262 different public companies in the American stock market generated in the period between 1999-2018. Furthermore, we prove the efficacy of the Multi-head LSTM models in terms of lower false positives and better division of the two classes.
Grasp Assessment for Neuroprostheses-Mediated Functions
Authors: RaviChandran Narrendar , Aw Kean , McDaid Andrew
Published: January 2024

A system to evaluate several facets of hand function for neuroprostheses-mediated tasks is proposed. It includes a platform that serves as a test bench, sensors for dynamometry, electromyography, sensorized glove, and interactive objects. The system methodically locates and assesses the motor points along the forearm, evaluates stimulation-induced fatigue, measures digit motion and forces exerted during ADL grasps, and evaluates nerve excitability to advance electrode designs. While the system is exclusively designed for neuroprostheses-mediated grasp, it can also be extended to generic grasp and object manipulation-based research.
Drug Resistance in Animal Trypanosomiases: Epidemiology, Mechanisms and Control Strategies
Authors: Ungogo Marzuq , de Koning Harry
Published: January 2024

Animal trypanosomiasis (AT) is a complex of veterinary diseases known under various names such as nagana, surra, dourine and mal de caderas, depending on the country, the infecting trypanosome species and the host. AT is caused by parasites of the genus Trypanosoma, and the main species infecting domesticated animals are T. brucei brucei, T. b. rhodesiense, T. congolense, T. vivax, T. evansi and T. equiperdum. AT transmission, again depending on species, is through tsetse flies or common Stomoxys and tabanid flies or through copulation. Therefore, the geographical spread of all forms of AT together is not restricted to the habitat of a single vector like the tsetse fly and currently includes almost all of Africa, and most of South America and Asia. The disease is a threat to millions of companion and farm animals in these regions, creating a financial burden in the billions of dollars to developing economies as well as serious impacts on livestock rearing and food production. Despite the scale of these impacts, control of AT is neglected and under-resourced, with diagnosis and treatments being woefully inadequate and not improving for decades. As a result, neither the incidence of the disease, nor the effectiveness of treatment is documented in most endemic countries, although it is clear that there are serious issues of resistance to the few old drugs that are available. In this review we particularly look at the drugs, their application to the various forms of AT, and their mechanisms of action and resistance. We also discuss the spread of veterinary trypanocide resistance and its drivers, and highlight current and future strategies to combat it.
Neurocutaneous Diseases: Diagnosis, Management, and Treatment
Authors: Kioutchoukova Ivelina , Foster Devon , Thakkar Rajvi , Ciesla Christopher , Cabassa Jake Salvatore , Strouse Jacob , Kurz Hayley , Lucke-Wold Brandon
Published: January 2024

Neurocutaneous disorders, also known as phakomatoses, are congenital and acquired syndromes resulting in simultaneous neurologic and cutaneous involvement. In several of these conditions, the genetic phenomenon is understood, providing a pivotal role in the development of therapeutic options. This review encompasses the discussion of the genetic and clinical involvement of neurocutaneous disorders and examines clinical management and treatment options. With the current advances in genetics, the role of precision medicine and targeted therapy plays a substantial role in addressing management of these conditions. The interconnectedness between therapeutic options highlights the importance of precision medicine in treating each disorder’s unique molecular pathway. This review provides an extensive synthesis of ongoing and current therapeutics in the management of such clinically unique and challenging conditions.
Ethiopian Cement Plants: Examining Emissions and Their Impact on Community Well-being
Authors: Firdissa Benti , Degefa Sileshi , Mulugeta Eyobel , Sithole Dingane
Published: January 2024

In the realm of cement production, clinker-producing factories emerge as both energy and material-intensive entities, emitting a substantial array of primary pollutants into the environment compared to their non-clinker producing counterparts. Our study delves into Ethiopian clinker-producing cement factories, unraveling the concentration of primary pollutants and their repercussions on neighboring communities. Venturing beyond mere statistics, we meticulously measured particulate matter (PM2.5 and PM10) and gaseous emissions (CO2, N2O, SO2) at various units within the cement factories and in nearby residential areas. The findings reveal an ambient air quality riddled with concern; PM2.5 levels ranged from 137 to 814 μg/m3, PM10 from 195 to 886 μg/m3 within the cement factories, and PM2.5 (113 to 196 μg/m3) and PM10 (125 to 453 μg/m3) in the adjacent village. Alarmingly, these particulate matter emissions exceeded the limits set by Ethiopian ambient air quality guidelines (150 μg/m3). Unraveling the health implications, respiratory diseases were notably high among individuals aged 25 to 60, followed closely by those aged 6 to 24. In contrast, the age groups 0–5 and > 61 exhibited lesser susceptibility, as infants and the elderly spent more time at home, thus reducing exposure to emissions. Our study underscores the urgent need for legal measures, calling for the establishment of buffer zones between cement factories and settlements. This proactive step, if enforced, holds the promise of mitigating cement particulate emissions and safeguarding the well-being of communities residing in proximity to these industrial giants.
Arrhythmias and Device Therapies in Cardiac Amyloidosis
Authors: Bukhari Syed , Khan Syed Zamrak , Ghoweba Mohamed , Khan Bilal , Bashir Zubair
Published: January 2024

Cardiac amyloidosis is caused by amyloid fibrils that deposit in the myocardial interstitium, causing restrictive cardiomyopathy and eventually death. The electromechanical, inflammatory, and autonomic changes due to amyloid deposition result in arrhythmias. Atrial fibrillation is by far the most common arrhythmia. Rate control strategy is generally poorly tolerated due to restrictive filling physiology and heart rate dependance, favoring adoption of rhythm control strategy. Anticoagulation for stroke prophylaxis is warranted irrespective of CHA2DS2Vasc score in patients with favorable bleeding profile; data on left appendage closure devices is still insufficient. Ventricular arrhythmias are also not uncommon and the role of implantable cardioverter-defibrillator in cardiac amyloidosis is controversial. There is no evidence of improvement in outcomes when used for primary prevention in these patients. Bradyarrhythmia is most commonly associated with sudden cardiac death in cardiac amyloidosis. Pacemaker implantation can help provide symptomatic relief but does not confer mortality benefit.
Self-Assembled Monolayers of Push-Pull Chromophores as Active Layer and Their Applications
Authors: Wang Junlong , Gadenne Virginie , Patrone Lionel , Raimundo Jean-Manuel
Published: January 2024

In recent decades, considerable attention has been focused on the design and development of surfaces with defined or tunable properties for a wide range of applications and fields. To this end, self-assembled monolayers (SAMs) of organic compounds offer a unique and straightforward route of modifying and engineering the surface properties of any substrate. Thus, alkane-based self-assembled monolayers constitute one of the most extensively studied organic thin-film nanomaterials, which have found wide application in antifouling surfaces, control of wettability or cell adhesion, sensors, optical devices, corrosion protection, organic electronics, among many other applications. Some of which have led technological transfer to industry. Nevertheless, recently, aromatic-based SAMs have gained in importance as functional components, particularly in molecular electronics, bioelectronics, sensors, etc., due to their intrinsic electrical conductivity and optical properties, opening up new perspectives in these fields. However, some key issues affecting device performances still need to be lifted off to ensure their full use and access to novel functionalities such as memories, sensors, or active layers in optoelectronic devices. In this context, we will present herein recent advances of p-conjugated systems-based self-assembled monolayers (e.g., push-pull chromophores) as active layer and their applications.
Classroom Emotion Monitoring Based on Image Processing
Authors: Llurba Cèlia , Fretes Gabriela , Palau Ramon
Published: January 2024

One of the needs of the teaching and learning processes is the lack of information during the process, such as the emotions of students. Emotions influence learning, the ability to process information and accurately understand what we are dealing with. They profoundly affect students’ academic engagement and performance. One new way of getting such information is monitoring students' emotions. This research aims to expose 6 groups of secondary school students to video recordings for further analysis and categorization of their emotions. A model of emotional recognition (ER) during classroom learning was designed, with a custom-made code, from recorded videos to images to identify faces, action units (AUs) and consequently the emotions of each of the students shown on the screen. In addition, the ER model was optimized, from detecting few students to many students during a class. Emotions were then analysed according to the academic year, subject, and comparing the emotions at the beginning and at the end of the class. The results indicate the presence of a variety of emotions in the classroom and we found significant differences in the presence of some emotions depending on the time of class, subject and academic year, although there are no clear patterns. We discussed how emotions influence students' academic performance, and we suggest future research focus on teachers utilizing tools like this to improve student well-being and performance.
Hyaluronic acid: elucidating its penetration into, and effect on hair fibers using confocal Raman spectroscopy and biometric techniques
Authors: Boira Cloe , Essendoubi Mohammed , Meunier Marie , Lambert Carole , Auriol Daniel , Manfait Michel , Piot Olivier , Scandolera Amandine , Reynaud Romain
Published: January 2024

Background: Hyaluronic acid (HA) is well known in the cosmetic industry for its hydrating properties linked to its interaction with keratin in the stratum corneum. Hair is also mainly composed of keratin, but no evidence of penetration and interaction of HA in hair had yet been established. Herein, we examined, with appropriate methods, this penetration and interaction. Methods: Confocal Raman Spectroscopy was used to track HA penetration in hair fibers. Human hair was UV-irradiated, or not, before washing with a number of different shampoo formulations. Low-molecular weight hyaluronic acid, high-molecular weight HA, and an optimized blend of low- and high-molecular weight HA, were used. The benefits of HA for cosmetic application were then evaluated at the ex vivo level. Results: Raman analysis of non-irradiated samples revealed that the HA blend penetrated the hair cortex 5.9 times more than the placebo and with irradiated samples, a 1.8-fold increase in penetration was observed. Whatever the irradiation status, penetration of this optimal HA blend was significantly greater than that of the other two active substances. Compared to the placebo, the HA blend significantly decreased spontaneous frizzing by 11%, repaired the hair by increasing the elastic modulus and the break force, and increased the water content in the hair shafts. Conclusion: Confocal Raman Spectroscopy can be considered as a powerful, non-invasive technique to investigate the penetration of active ingredients into the hair.
An Archaeometric Study of the Iron Age Ceramics from Quinta Do Almaraz Archaeologic Site (8th to 5th Centuries BC). Colour and Mineralogic Characterization
Authors: Ferreira Luis Filipe Vieira , Olaio Ana , Pereira Manuel Francisco Costa , Machado Isabel Luisa Ferreira
Published: January 2024

The ceramic pastes of ca. 31 samples recovered from the Almaraz archaeological site, located in the south bench of Tagus River, were studied in detail using XRF, micro-Raman and GSDR spectroscopies, as well as the XRD technique.
The ceramic sherds could be grouped into six categories, Red Slip tableware, Decorated tableware, Yellow Slip tableware, Grey tableware, Common tableware and Handmade pottery. Our studies of the mineralogic composition of the sherds` body indicate that all ceramics were produced locally, using silicious clays in most cases and calcareous clays in a few ones.
Micro-Raman and ground state diffuse reflectance absorption spectroscopy provided useful information regarding the materials used to produce the coloured ceramics: hematite and brookite for the red slip and decorated ceramics, jacobsite or carbon black for the black decoration or grey ceramics. For the yellow slip tableware a simple engobe rich in yellow clay was used.
XRF spectroscopic studies provided the elemental composition of all samples, and biplots of the Potassium (K) versus Calcium (Ca) contents, normalized to the silicon content of each ceramic paste, clearly show that Pliocene and Miocene local clays sources were used to produce most ceramics. Only one sherd can be considered a Lisbon production.
Can Foliar-Applied Omeprazole Improve the Yield, Assimilation, Recovery and Nitrogen Use Efficiency in Bean Plants?
Authors: Estrada Carlos Abel Ramírez , Sánchez Esteban , Flores-Córdova María Antonia , Chávez-Mendoza Celia , Pérez-Álvarez Sandra , Yáñez-Muñoz Rosa María
Published: January 2024

Low efficiency and excessive application of nitrogen (N) fertilizers is a frequent problem in agriculture that impacts the environment. Omeprazole (OMP) has been reported to promote N uptake and assimilation in tomato, basil, and corn. However, information about the effect of omeprazole on N assimilation, recovery and N use efficiency parameters for bean plants is limited. Therefore, the objective of the present study was to determine the effect of foliar application of OMP at 0, 1, 10 and 100 µM on nitrogen assimilation, growth, yield, nitrogen use efficiency parameters and recovery percentage in green bean plants. Green bean plants cv. Strike grown in pots were used. Biomass, yield, nitrate reductase activity, photosynthetic pigments concentration, soluble amino acids and protein concentration, total nitrogen concentration, nitrogen use efficiency parameters and nitrogen recovery were analyzed. The results obtained indicate that the application of OMP at 1 µM increased yield, biomass and promoted N assimilation through higher NR enzyme activity, higher amino acid concentration, higher N use efficiency coefficient and allowed a more efficient nitrogen recovery percentage.
Perirectal Abscess with Upward Extension to the Extraperitoneum and Space of Retzius: A Case Report
Authors: Teng Hsiang , Wu Po-Hsien
Published: January 2024

A perirectal abscess, while typically considered benign, has the potential to invade extraperitoneal spaces, including the space of Retzius, resulting in complications with severe systemic illness. It is postulated that there is communication within adipose tissue between the pararectal spaces and the vesical extraperitoneal space anteriorly, secondary to the termination of the umbilical-vesical fascia at the reflection of the vesical peritoneum. While occurrences of perirectal abscess ex-tending to the extraperitoneal space are infrequent, a thorough understanding of the anatomical structure, physiology, and the subsequent therapeutic approach remains crucial. For assessment, a computed tomography scan with intravenous contrast is preferred for evaluation, given the probable insidious and nonspecific nature of the clinical presentation, physical exam signs, and even laboratory studies. Primary therapeutic modalities involve immediate resuscitation, intra-venous administration of broad-spectrum antibiotics, and percutaneous drainage. Surgical in-tervention may become necessary in cases where there is no prompt improvement in septic progression. Additionally, the underlying comorbidities and baseline illness could be indicative of unfavorable outcomes. If fever or sepsis is not efficiently controlled, a more comprehensive workup or intervention should be contemplated, considering the associated higher risks of complications and mortality rates.

In this study, we presented the case of a 68-year-old male with diffuse pain located in the lower abdomen. Fortunately, an immediate computed tomography scan played a pivotal role in iden-tifying a perirectal abscess with upward extension to the space of Retzius, which was subse-quently treated appropriately. Above all, this rare case presentation underscores the anatomic complexity within pelvic compartments and emphasizes the importance of maintaining high-index suspicions and analyzing overall differential diagnosis.
Comparison Predictions of the Demam Berdarah Dengue (DBD) using Model Exponential Smoothing: Pegel’s Classification and ChatGPT
Authors: Wiyanti Wiwik , Siregar Bakti
Published: January 2024

The evolution of AI since the Covid-19 pandemic has developed very rapidly. Until 2023, AI is claimed to be a threat to several professional jobs, especially data analysts and scientists. The purpose of this research is to check the effectiveness chat-GPT to predict about demam berdarah dengue (DBD) case. Method of the analyzing the data in this research is Mixed method. Quantitative method using exponential smoothing: pegel’s classification and qualitative method using GPT-3. The aim of this research is to check whether ChatGPT can predict the demam berdarah dengue (DBD) data time series. The prediction result are check it by exponential smoothing: pegel’s classification method. The benefit of this research is it can be used to reference how far the evolution of AI can be threaten the profession of data analyst or data scientist. The result of this study conclude that the ChatGPT (GPT-3) can’t predict DBD’d data correctly.
Path Analysis of Influence of Economic and Social Factors on the Human Development Index in South Sulawesi in 2022
Authors: Parapa Anni Ivoni , Chesynanda Clarisa Eudia , Siswanto Siswanto , Kalondeng Anisa
Published: January 2024

The Human Development Index (HDI) serves as an indicator for assessing socio-economic development in a region. Each area strives to improve its HDI by considering the factors that influence it in that specific region. This research aims to identify the direct and indirect influences of economic and social factors, such as Life Expectancy (LE), Gross Regional Domestic Product per capita (GRDPpc), Labor Force Participation Rate (LFPR) through Average Years of Schooling (AYS) on the HDI in South Sulawesi in 2022. The data used in this study are secondary data obtained from the Central Statistics Agency (BPS) of South Sulawesi Province in 2022. The method applied in this research is a path analysis that examines the relationships between variables, both direct and indirect influences. The research results show that in the equation of sub-structure 1, LE and GRDP per capita ADHB have a direct influence on AYS, while LFPR does not have a direct impact on AYS. The magnitude of the influence of variables in sub-structure 1 is 53%. In the equation of sub-structure 2, LE, GRDP per capita ADHB, LFPR, and AYS have a significant direct impact on HDI. Additionally, LE and GRDP per capita ADHB have an indirect influence through AYS on HDI. The magnitude of the influence of variables in sub-structure 2 is 93.5%. Therefore, the variables that have both direct and indirect effects on HDI through AYS are LE and GRDP per capita ADHB.
MULTIMODAL IMAGING OF MAXILLOFACIAL COMPLICATIONS IN POST-COVID-19 PATIENTS WITH DIABETES MELLITUS
Authors:   ashkent Medical Academy, ISMAILOVA MUNOJAT KH. , YUNUSOVA LALITA R. ,   Tashkent State Dental Institute, KHAYDAROVA GUZAL B. ,   Tashkent Medical Academy, ABDULLAYEVA LOBAR SH. ,   Tashkent State Dental Institute
Published: January 2024

Abstract. Introduction. COVID-19 is widely known as a disease that causes respiratory dysfunction. However, it is also associated with many extrapulmonary manifestations and complications, such as gastrointestinal and hepatocellular complications, neurological diseases, and maxillofacial complications. Aim of this study was to describe the MSCT and MRI ﬁndings in 56 patients with COVID-19-associated rhino-orbital mucormycosis. Materials and Methods. CT and/ or MRI imaging was performed on 56 patients with diabetes mellitus who recovered after having been diagnosed with COVID-19 and had maxillofacial complications. Results and Discussion. All patients had sinusitis and ophthalmic symptoms. In all patients, there were the sequential anatomical lesions of nasal cavity, maxillary sinus, orbits, and lattice cells. Conclusions. Computer tomography or magnetic resonance imaging can be used to evaluate the spread of rhino-orbital mucormycosis to detect bone destruction, inﬁltration, and tissue invasion. Computer tomography of paranasal sinuses is the method of choice at suspicion on mycotic infections, such as rhino-orbital mucormycosis. It is recommended to perform magnetic resonance tomography of soft tissues at suspicion on mycotic invasion beyond paranasal sinuses.
COMPLEX OF PHENOLIC COMPOUNDS OF EXTRACTIVE THYMUS MARSCHALLIANUS PREPARATIONS: IN SILICO PREDICTION OF BIOLOGICAL ACTIVITY
Authors:   Clinical Hospital of the Federal State Healthcare Institution, Moscow, KHIMOCHKO TATYANA G. , PENZINA TAMARA N. ,   Altai State Medical University, KUTATELADZE GEORGIY R. ,   Altai State Medical University, KUDRIKOVA LUDMILA E. ,   Altai State Medical University
Published: January 2024

Abstract. Introduction. Currently, Marschall thyme herb (Thymus marschallianus) is currently not an oﬃcially used medicinal herbal raw material; however, it is widely used in folk medicine as an analgesic, wound healing, expectorant, and antispasmodic remedy. During phytochemical studies, it was found that the herb contains phenolic compounds represented by the aglycones of ﬂavonoids, such as luteolin or apigenin, their 7-O-glycosides, and hydroxycinnamic acids, such as caﬀeic and rosmarinic acid. Aim. To predict the biological activity proﬁle and related mechanisms of action of the complex of polyphenol compounds of extractive Marschall thyme herb preparations. Materials and Methods. The research focused on the polyphenolic complex compounds of infusion and tincture from Marschall thyme collected in Altai Krai. For computer-aided prediction of the biological activity of phenolic compounds, the PASS (Prediction of Activity Spectra for Substances) method was used, which allows predicting the activity proﬁle of compounds from the structural formula based on the analysis of the structure–activity relationships. Results and Discussion. The study found that for all compounds, it can be assumed with a high probability to be antioxidant and membrane-protective activity, which may be associated with the suppression of oxidation processes by binding free oxygen, free radicals, and inhibition of free radical formation-responsible enzymes. For caﬀeic acid, apigenin, luteolin and their glycosides, the predicted types of activity and mechanisms of action aimed at suppressing the inﬂammatory process. For the sum of ﬂavonoids, the manifestation of cytostatic and antineoplastic activities is expected. Conclusions. Polyphenolic complex of the infusion and tincture of Marschall thyme herb can potentially inhibit oxidative processes, stabilize cell cycle and suppress pathological exudative and proliferative processes. To assess the credibility of the prognosis, the results should be tested in real in vitro and in vivo studies.
ИНТРАОРАЛЬНОЕ УЛЬТРАЗВУКОВОЕ ИССЛЕДОВАНИЕ ПРИ ОБСЛЕДОВАНИИ ТКАНЕЙ ПАРОДОНТА: О ЧЕМ СЕГОДНЯ ГОВОРИТСЯ В ОБЗОРЕ?
Authors:   Tashkent State Dental Institute, AZIMOV AZIZ M. , KULMATOV TIMUR M. ,   Tashkent State Dental Institute, YUNUSOVA LALITA R. ,   Tashkent State Dental Institute, ABDUMANNONOV DOSTONBEK R. ,   Tashkent State Dental Institute, KHOMIDOV MUHAMMAD A. ,   Tashkent State Dental Institute, KHOJAEV SADULAKHUJA B. ,   Tashkent State Dental Institute
Published: January 2024

Abstract. Introduction. This systematic review aims to investigate the capabilities of ultrasound imaging in periodontal tissues exploration to visualize periodontal anatomical structures and to assess reliability in clinical evaluation using the PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines. Aim of the study is to investigate the capabilities of ultrasound imaging in periodontal tissue research. Material and Methods. Databases, i. e., MEDLINE, PUBMED, MEDINNOVATION, and SCIENTIST were analyzed electronically to identify studies that have explored ultrasonography periodontal imaging, published within the timeframe from 2000 to March 2022. Results and Discussion. Our search delivered 245 records; upon making exclusions, a total of 15 papers was included in the present review. Various publications have shown the possibility of using intraoral ultrasound for a precise exploration of intraoral tissues and to perform measurements of periodontal structures. Studies argue that ultrasounds oﬀer a prospect of the complete paradigm shift regarding the diagnosis and follow-up of periodontal diseases. However, there is currently no devoted clinical devices for periodontal ultrasound scanning. Conclusion. This anatomic region is still under-studied, and studies are needed to explore the large ﬁeld of applications from periodontal assessment to reassessment of treatment, including surgery.
Are We There Yet? A Global Investigation of Knowledge Inclusion in International Relations Theory Curricula
Authors: DE MATOS-ALA Jacqueline
Published: January 2024

It is now rather well established that most International Relations (IR) theories are
predicated on Western knowledges. This potentially limits their analytical capacity
to explain international relations beyond Western ideological values or interests.
However, in recent years there has been a substantial increase in scholarship not
only critiquing the Western centric nature of International Relations theory but
also exploring the contributions that knowledges from the global South make to
the field of IR theory. Thus, the status quo is shifting, albeit slowly. Nevertheless,
the impact as well as the implication of this shift toward knowledge plurality for
the IR theory curricula has not been paid adequate attention. Consequently, this
article investigates whether the demand for knowledge plurality in the realm of
IR theory research has made inroads into the arena of pedagogy resulting in
the generation of knowledge plural IR theory curricula. Moreover, it examines
the different choices and interpretations made by educators in endeavouring to
create knowledge plural IR theory curricula in various global contexts. Further, it
endeavours to discern the factors that have informed and/or shaped respondents’
curricula and pedagogical choices pertaining to the selection, structuring and
transmission of IR knowledge at tertiary education institutions in different
geographical contexts. Ultimately, it reflects on the implications of the increase
in knowledge plural curricula for the development of greater knowledge plurality
within the discipline.
30 Hari di Desa Trawas: Pengabdian Kepada Masyarakat di Desa Trawas Kecamatan Trawas Kabupaten Mojokerto
Authors: Fradana Ahmad Nurefendi
Published: January 2024

Rasa syukur selalu tercurah kepada Allah SWT yang senantiasa melimpahkan rahmat, hidayah serta kesehatan, sehingga kami dapat melaksanakan program Kuliah Kerja Nyata Pencerahan (KKN-P) Universitas Muhammadiyah Sidoarjo tahun 2020. Kuliah Kerja Nyata (KKN) adalah program yang ditempuh mahasiswa Universitas Muhammadiyah Sidoarjo merupakan perwu-judan dari salah satu Catur Dharma Perguruan Tinggi, yaitu ber-maksud memberikan pengalaman secara langsung baik fisik maupun mental kepada calon sarjana dengan terjun bersama masyarakat dengan menerapkan ilmu jurusan masing-masing. Didalam KKN-P 2020 Universitas Muhammadiyah Sidoarjo, lokasi kegiatan di Desa Trawas, Kecamatan Trawas, Kabupaten Mojokerto. Dalam topik garapan kegiatan ini ialah membuat Sistem Informasi Desa Trawas dengan membuatkan website khusus sebagai informasi masyarakat tentang Desa Trawas adanya informasi yang lengkap mengenai pemerintahan Desa Trawas sehingga memudah-kan masyarakat mengakses informasi maupun kebutuhan yang di-perlukan dan membagikan ilmu melalui kegiatan belajar mengajar di SDN 1 & 2 Trawas
Geomorphological Sites of Tourist Value in the Dreikesh:Syria A study on the concept of Geomorphosite
Authors: Ahmad Enas , Jarjour Sameer , Salhab Heba
Published: January 2024

Abstract The current study addressed the geomorphological sites of touristic value through assessment of the most important geomorphological sites in the Dreikesh region for geotourism purposes, where the results of the assessment can be used as a basis for the appropriate utilization of these natural resources for sustainable tourism development. The study aims to identify the most important geomorphological touristic sites in Dreikesh and explain their formation factors and characteristics using GIS, in addition, it analyzes the relationship between geomorphology and tourism by estimating the potential for each site according to several criteria, the results indicated the diversity of geomorphological features in the study area, including mountains, river valleys, caves, and volcanic necks, where the geomorphosite formed 24 sites, most of which met the criteria for natural tourism by 62% of the overall assessment results for the sites.
A novel approach to prevent social isolation in people with severe disability
Authors: Dias João Canossa , Mineiro Ana , Damen Saskia
Published: January 2024

While intervening in the field of communication, practitioners follow diverse theoretical approaches and models. The different conceptual orientations influence the way professionals embrace the subject of communication and its disorders. The present research focused on the development of a new model to understand communication between persons with Complex Communication Needs and their caregivers. A second aim was to create an intervention program based on the new model. The Complex of Continuous Communication model, based on an extensive literature review, served as foundation for the new intervention entitled Program 3C. This program consists of consultations with caregivers of persons with disability, using video analysis and a dialogical approach to support communication. The model and intervention were validated through an international online Delphi panel including 17 experts. From the two rounds of the panel, the 25 indications subject to validation were rated as appropriate with low values of disagreement, following the Appropriateness Method. Qualitative feedback was used to improve the model and intervention program. Quality assurance measures were taken to ensure transparency of the results. The next phase of research consists of implementing the Program 3C in a pilot study with clinicians that support persons with disability at risk of social isolation.
AI-Driven Optimization of Helmet Material Design: Mitigating Traumatic Axonal Injuries through Innovative Constitutive Law Enhancement
Authors: Pioletti Dominique , Varanges Vincent , Eghbali Pezhman , Nasrollahzadeh Naser , Fournier Jean-Yves , Bourban Pierre-Etienne
Published: January 2024

Sports helmets do not provide full protection against brain injuries. Our study aims to improve helmet liner efficiency by employing a novel approach that optimizes their properties. By exploiting a finite element model that simulates impacts, we developed deep learning models that predict the peak kinematics of a dummy head protected by various liner materials. The models exhibited a remarkable correlation coefficient of 0.99 within the training dataset, highlighting their predictive ability. Deep learning-based material optimization predicts a significant reduction in the risk of traumatic axonal injuries for impact energy ranging from 250 to 450 Joules. This result emphasizes the effectiveness of a sophisticated material design to mitigate sport-related brain injury risks. This research introduces promising avenues for optimizing helmet designs to enhance their protective capabilities.
A Novel Approach for Depression Detection through Extracted Skeletal Data during Scale Assessment
Authors: Zhang Kaihong , Wan Yumei , Ning Chuanbin , Fan Yunli , Wang Huajie , Xing Libo , Li Wentao , Tian Qi , Zheng Yunshao
Published: January 2024

Background: Depression was a widespread and high-risk mental disorder that could significantly affectthoughts, emotions, and behaviors. While recent studies explored techniques for detecting depression throughbody posture, depression detection researches utilizing skeletal data recorded by Kinect of scale assessmentwere still ongoing. Our goal was to establish a novel approach for depression detection that utilizes the skeletaldata during scale assessment.
Methods: Participants, which included a depression group and a control group, were assessed using theHamilton Rating Scale for Depression (HAMD-24), and we utilized Kinect V2 to capture human skeletal data.To extract the skeletal data and reduce noise, we developed program that has been open-sourced forprocessing Kinect recorded files. With skeletal data extraction, feature analysis, and data preprocessing, thethree human skeleton datasets were created using the hip joint as the splitting point, as follows: whole bodyskeleton joints dataset, upper body skeleton joints dataset, and lower body skeleton joints dataset. To enhancethe classification capacity of temporal and spatial features within skeletal data, we designed Temporal SpatialAttention (Dep-TSA) for depression detection.
Results: According to the scale’s criteria, a total of 202 participants were included, with 89 depression patientsas the depression group, and 113 social recruited healthy individuals were constituted the control group. Theproposed Dep-TSA model shown outstanding results compared to other models, achieving an accuracy of72.13%, a specificity of 76.47% and a sensitivity of 66.67% on whole body skeleton joints dataset. It alsoattained accuracy of 67.32% on upper body skeleton joints dataset, and accuracy of 62.30% on lower bodyskeleton joints dataset.
Conclusions: The proposed Dep-TSA module, proven effective for extracting raw spatial-temporal featuresand low-level features of body skeleton joints, achieved satisfactory classification accuracy across these threehandcrafted datasets. These findings suggested that using Kinect-recorded skeletal data during the HAMDassessment process could be an effective tool for depression analysis. In future research, our aim was to extendthis study to investigate the detection of the severity of depression and to combine it with more modalities formore eﬀicient recognition.
Proteomic Profiling of Gliomas Unveils Immune and Metabolism-Driven Subtypes with Implications for Anti-Nucleotide Metabolism Therapy
Authors: Hua Wei , Zhang Jinsen , Sun Rui , Guo Tiannan , Lyu Yingying , Liu Chaxian , Liu Ying , Du Zun-Guo , Feng Yuan , Fu Minjie , Wong Peter Jih Cheng , Qiu Tianming , zhang yi , Zhuang Dongxiao , Qin Zhiyong , Yao Yu , Zhu Wei , Yang Hui , Mao Ying
Published: January 2024

Gliomas exhibit high heterogeneity and poor prognosis. Despite substantial progress has been made in glioma at the genomic and transcriptomic levels, comprehensive proteomic characterizations and their implications remain largely unexplored. Here, we performed proteogenomic characterization of gliomas using 343 FFPE tumor samples and 53 normal-appearing brain samples from 188 patients, which was integrated with genomic panel data and clinical information. Proteomics profiles uncovered two subgroups: Subgroup 1, termed the “metabolism subgroup” (S-Me), characterized by an enrichment of metabolism-related proteins; and Subgroup 2, named the “immune subgroup” (S-Im), showing an upregulation of immune and inflammatory proteins. These proteomic subgroups exhibited significant differences in prognosis, tumorigenesis, microenvironment dysregulation and potential therapeutics, emphasizing the critical roles of metabolism and immune processes in glioma biology and patient outcomes. By delving into metabolic pathways guided by our proteomic findings, DPYD and TYMP were further identified as potential prognostic biomarkers associated with nucleotide metabolic reprogramming. Functional validation using GSCs and animal models highlighted nucleotide metabolism as a promising therapy against gliomas. The integrated multi-omics analysis introduces a novel proteomic classification for gliomas, and also identified two new metabolic biomarkers, DPYD and TYMP, which offer insights into the molecular pathogenesis and identify treatment opportunities.
What impact local failure after post-operative radiotherapy of resected brain metastases in breast cancer patients
Authors: Haisraely Ory , Symon Zvi , Kaisman-elbaz Thila , Whol Anton , Cohen Zvi , Taliansky Alica , Lawerence Yaacov
Published: January 2024

Background
Single brain metastasis surgical resection remains an effective treatment for brain metastases. However, surgery alone associate with a high rate of local failure. The current guidelines recommend radiation to surgical cavity. The recommended dose for brain cavity after surgery remain to be define as most guidelines gives a very general suggestion about the dose and fractionation. The aim of this study was to determine what variable influence local control in this specific population.
Methods
Retrospective analysis of 62 patients with breast cancer who undergo surgical resection to single brain metastases and who received post-operative radiotherapy between the years 2011–2022. All clinical and dosimetric variables were analyzed to evaluate their impact on local control.
Results
One year local control was 70.9%. HER-2 disease, size of initial tumor, time from initial surgery, total dose deliver, inclusion of corridor and type of lesion were all significant for local control. Patients with HER-2 positive disease had higher local control rate without any difference in other variables.
Conclusion
Brain metastases from breast cancer remain a life-threating condition. Surgery plays a critical role in the treatment of large symptomatic brain metastases for which Post-operative radiotherapy is essential. Choosing a regime with a dose of more then 40Gy (BED) seems important for achieving local control and without increase toxicity. Different biology and systemic therapy options can differentiate Breast cancer population after brain surgery for metastatic disease. A larger prospective trial is needed to addressed the question whether lower dosage can be use in HER-2 positive disease.
Haemophilus aphrophilus and Eikenella corrodens co-infection of brain : a unusual case from china
Authors: Liu Yang , Lai LanMin , Zhu Xinyu , Zhao Rui , Yuan Lei , Chen Qiang
Published: January 2024

Background: Haemophilus aphrophilus and Eikenella corrodens are both members of the HACEK group (Haemophilus spp., Aggregatibacter spp., Cardiobacterium hominis, Eikenella corrodens, and Kingella spp.) , are gram-negative acinetobacter that slow-growing and fastidious, these organisms are common causes of culture-negative endocarditis. however, brain abscesses caused by Haemophilus aphrophilus and Eikenella corrodens have been rarely reported.
Case presentation: Herein, we report a case of brain abscess in a young male caused by Haemophilus aphrophilus and Eikenella corrodens. The patient was admitted to the hospital with sudden onset of vomiting, coma and fever. Magnetic Resonance Imaging(MRI) of the brain and cerebrospinal fluid (CSF) cell counts were suggestive of cerebral abscess, and the patient underwent drainage of the abscess and empirical antimicrobial therapy for more than 10 days without significant improvement. Metagenomicnext-generation sequencing(mNGS) and Matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF MS) of the drainage fluid suggested the presence of Haemophilus aphrophilus and Eikenella corrodens DNA sequences, which was supported by subsequent positive microbiological cultures. After 7 weeks antibiotic treatment of ceftriaxone in combination with meropenem intravenously, the patient was discharged with a normal temperature and the Computerized tomography(CT) of the brain showing improvement of the lesion.
Conclusions: Related cases described in the previous literature are always associated with bacterial blood dissemination after dental surgery or myocarditis, what makes this case special is that the patient did not have any associated risk factors, and to the best of our knowledge, this is the first case of the central nervous system with Haemophilus aphrophilus and Eikenella corrodens co-infection that combined mNGS and MALDI-TOF in the diagnosis.
The effect of community structure on fixation process in evolutionary graph theory
Authors: Mohamadichamgavi Javad , Zahedian Mohamadreza
Published: January 2024

Evolutionary graph theory investigates how population structure shapes evolutionary dynamics. In this paper, we examine how community structure impacts mutant fixation probability and time under the Moran Birth-death process with constant fitness. Specifically, we model the population as two fully connected subpopulations (communities) linked by a few links. Using an analytical Markov-chain approach supplemented by Monte Carlo simulations, we explore how the size of the starting community where the initial mutant arises influences its eventual fixation outcomes. We demonstrate that initiating the process in a smaller community boosts fixation probability and acts as an amplifier of selection compared to a larger community or a well-mixed population. A critical relative size threshold exists for the starting community, below which it functions as a selection amplifier. The unconditional fixation time displays different patterns depending on the starting community size and fitness value. For small communities, increased fitness reduces time, whereas, for larger communities, greater fitness prolongs time. Additionally, conditional fixation time grows with increased starting community size until a critical size and then decreases. This critical size is different depending on fitness value. In general, a combination of fitness level and starting community size serves to maximize the conditional fixation time.