bluuebunny/crossref_metadata_2025 huggingface dataset:
Feasibility and Proof-of-Concept of Delivering an Autonomous Music-Based Digital Walking Intervention to Persons with Parkinson’s Disease in a Naturalistic Setting
Authors: Zajac Jenna A. , Porciuncula Franchino , Cavanaugh James T. , McGregor Colin , Harris Brian A. , Smayda Kirsten E. , Awad Louis N. , Pantelyat Alexander , Ellis Terry D.
Published: October 2023

Background:

Reduced motor automaticity in Parkinson’s disease (PD) negatively impacts the quality, intensity, and amount of daily walking. Rhythmic auditory stimulation (RAS), a clinical intervention shown to improve walking outcomes, has been limited by barriers associated with the need for ongoing clinician input.

Objective:

To assess the feasibility, proof-of-concept, and preliminary clinical outcomes associated with delivering an autonomous music-based digital walking intervention based on RAS principles to persons with PD in a naturalistic setting.

Methods:

Twenty-three persons with PD used the digital intervention independently for four weeks to complete five weekly 30-minute sessions of unsupervised, overground walking with music-based cues. The intervention progressed autonomously according to real-time gait sensing. Feasibility of independent use was assessed by examining participant adherence, safety, and experience. Intervention proof-of-concept was assessed by examining spatiotemporal metrics of gait quality, daily minutes of moderate intensity walking, and daily steps. Preliminary clinical outcomes were assessed following intervention completion.

Results:

Participants completed 86.4% of sessions and 131.1% of the prescribed session duration. No adverse events were reported. Gait speed, stride length, and cadence increased within sessions, and gait variability decreased ( p < 0.05). Compared to baseline, increased daily moderate intensity walking (mean Δ= +21.44 minutes) and steps (mean Δ= +3,484 steps) occurred on designated intervention days ( p < 0.05). Quality of life, disease severity, walking endurance, and functional mobility were improved after four weeks ( p < 0.05).

Conclusions:

Study findings supported the feasibility and potential clinical utility of delivering an autonomous digital walking intervention to persons with PD in a naturalistic setting.
Analysis of the correlations between the extracranial internal carotid artery and extracranial vertebral artery and mild cognitive impairment
Authors: Yin Liang , Zhao Xin-Xiu , Gao Shun-Li , Yuan Wen-Ling , Wu Ke , Qian Wei-Dong , Li Qian-Qian
Published: October 2023

BACKGROUND: Vascular tortuosity is a prevalent morphological change that frequently occurs in arteries across different parts of the body. OBJECTIVE: To analyze the relationship between the tortuosities of the extracranial internal carotid artery (EICA) and extracranial vertebral artery (EVA) with mild cognitive impairment. METHODS: The tortuosity index (TI), vascular deviation degree, tortuosity degree, and angle number of the EICA and EVA were retrospectively analyzed and calculated in 160 patients who underwent computed tomography angiography (CTA) in this study’s department, and the Montreal cognitive assessment was adopted to evaluate the cognitive function of the patients. RESULTS: The differences in age, gender, arterial hypertension (AH), and diabetes mellitus (DM) between the normal group and the mild cognitive impairment group were statistically significant (p< 0.01). The TI was negatively correlated with the score of cognitive function. The tortuosities of the EICA and EVA were correlated with mild cognitive impairment (p< 0.05). The reduction in visual-spatial ability was correlated with the right EICA tortuosity, and the reduction in memory was correlated with the EVA tortuosity. Age, gender, HP, DM, and coronary heart disease (CHD) were potential risk factors for carotid tortuosity (p< 0.05). CONCLUSION: There was a significant correlation observed between the TIs of both the EICA and EVA and the presence of mild cognitive impairment. Advanced age, female, HP, DM, and CHD were independent risk factors for EICA and EVA tortuosities.
Application of artificial intelligence for the classification of the clinical outcome and therapy in patients with viral infections: The case of COVID-19
Authors: Badnjević Almir , Pokvić Lejla Gurbeta , Smajlhodžić-Deljo Merima , Spahić Lemana , Bego Tamer , Meseldžić Neven , Prnjavorac Lejla , Prnjavorac Besim , Bedak Omer
Published: October 2023

BACKGROUND: With the end of the coronavirus disease 2019 (COVID-19) pandemic, it becomes intriguing to observe the impact of innovative digital technologies on the diagnosis and management of diseases, in order to improve clinical outcomes for patients. OBJECTIVE: The research aims to enhance diagnostics, prediction, and personalized treatment for patients across three classes of clinical severity (mild, moderate, and severe). What sets this study apart is its innovative approach, wherein classification extends beyond mere disease presence, encompassing the classification of disease severity. This novel perspective lays the foundation for a crucial decision support system during patient triage. METHODS: An artificial neural network, as a deep learning technique, enabled the development of a complex model based on the analysis of data collected during the process of diagnosing and treating 1000 patients at the Tešanj General Hospital, Bosnia and Herzegovina. RESULTS: The final model achieved a classification accuracy of 82.4% on the validation data set, which testifies to the successful application of the artificial neural network in the classification of clinical outcomes and therapy in patients infected with viral infections. CONCLUSION: The results obtained show that expert systems are valuable tools for decision support in healthcare in communities with limited resources and increased demands. The research has the potential to improve patient care for future epidemics and pandemics.
Assessment of the disease severity in patients hospitalized for COVID-19 based on the National Early Warning Score (NEWS) using statistical and machine learning methods: An electronic health records database analysis
Authors: Lycholip Valentinas , Puronaitė Roma , Skorniakov Viktor , Navickas Petras , Tarutytė Gabrielė , Trinkūnas Justas , Burneikaitė Greta , Kazėnaitė Edita , Jankauskienė Augustina
Published: October 2023

BACKGROUND: The coronavirus disease 2019 (COVID-19) was a cause of concern in the healthcare system and increased the need for disease severity indicators. However, they still vary in use to evaluate in-hospital outcomes and severity. The National Early Warning Score (NEWS) is routinely used to evaluate patient health status at the hospital. Further research is needed to ensure if NEWS can be a good instrument for an overall health status assessment with or without additional information like laboratory tests, intensive care needs, and history of chronic diseases. OBJECTIVE: To evaluate if NEWS can be an indicator to measure COVID-19 patient status in-hospital. METHODS: We used the fully anonymized Electronic Health Records (EHR) characterizing patients admitted to the hospital with COVID-19. Data was obtained from Vilnius University Hospital Santaros Klinikos EHR system (SANTA-HIS) from 01-03-2020 to 31-12-2022. The study sample included 3875 patients. We created several statistical and machine learning models for discrimination between in-hospital death/discharge for evaluation NEWS as a disease severity measure for COVID-19 patients. In these models, two variable sets were considered: median NEWS and its combination with clinical parameters and medians of laboratory test results. Assessment of models’ performance was based on the scoring metrics: accuracy, sensitivity, specificity, area under the ROC curve (AUC), and F1-score. RESULTS: Our analysis revealed that NEWS predictive ability for describing patient health status during the stay in the hospital can be increased by adding the patient’s age at hospitalization, gender, clinical and laboratory variables (0.853 sensitivity, 0.992 specificity and F1-score – 0.859) in comparison with single NEWS (0.603, 0.995, 0.719, respectively). A comparison of different models showed that stepwise logistic regression was the best method for in-hospital mortality classification. Our findings suggest employing models like ours for advisory routine usage. CONCLUSION: Our model demonstrated incremental value for COVID-19 patient’s status evaluation.
A pocket companion to cell-free DNA (cfDNA) preanalytics
Authors: Bronkhorst Abel J. , Holdenrieder Stefan
Published: October 2023

The cumulative pool of cell-free DNA (cfDNA) molecules within bodily fluids represents a highly dense and multidimensional information repository. This “biological mirror” provides real-time insights into the composition, function, and dynamics of the diverse genomes within the body, enabling significant advancements in personalized molecular medicine. However, effective use of this information necessitates meticulous classification of distinct cfDNA subtypes with exceptional precision. While cfDNA molecules originating from different sources exhibit numerous genetic, epigenetic, and physico-chemical variations, they also share common features that complicate analyses. Considerable progress has been achieved in mapping the landscape of cfDNA features, their clinical correlations, and optimizing extraction procedures, analytical approaches, bioinformatics pipelines, and machine learning algorithms. Nevertheless, preanalytical workflows, despite their profound impact on cfDNA measurements, have not progressed at a corresponding pace. In this perspective article, we emphasize the pivotal role of robust preanalytical procedures in the development and clinical integration of cfDNA assays, highlighting persistent obstacles and emerging challenges.
Government interference in election administration and lethal electoral irregularities in Nigeria
Authors: Obiagu Uchenna C. , Abada Ifeanyichukwu M.
Published: October 2023

Extant literature is replete with fine-grained explanations of problems of electoral irregularities in developing countries, but how government interference in the electoral process leads to electoral irregularities and undermines credible elections is unacknowledged. Thus, this study shows how Nigeria’s Independent National Electoral Commission (INEC) has failed to assert its independence to guarantee credible elections due to government interference in its election management. The study leverages rich available documents, key informant interviews, and personal experience premised on in-depth descriptive statistical and content analyses. The analyses of data elicited from these methods reveal that government interference in INEC membership composition, finances, and operations considerably accounts for recurring lethal electoral irregularities and deflates public confidence in the electoral process to stunning lows in Nigeria. They also expose the weakness of government-driven reforms and underscore the need for voter-driven reformation for an electoral system that is acceptable to Nigerian voters.
Answer to Ph.D. Viva Voice Questions by Doctoral Candidates: In the Case of the Ph.D. Thesis Entitled “Determinants of Entrepreneurship Sustainable Development in Africa”: Short Communication
Authors: Deyganto Kanbiro Orkaido
Published: October 2023

This paper aims to prepare a short communication describing how to answer Ph.D. Viva Voice Questions by Doctoral Candidates: In the Case of the Ph.D. thesis entitled “Determinants of Entrepreneurship Sustainable Development in Africa.” The author used observation during open defense and document analysis of Ph.D. dissertation answers from 20 potential Ph.D. Viva Voice Questions by Doctoral Candidates. The result of this study shows that a successful answer to Ph.D. viva voice questions enables Doctoral Candidates to earn a doctorate. So, the researcher forwarded recommendations to Doctoral Candidates to use this short communication for preparing to answer Ph.D. Viva Voice Questions during oral defense of the Ph.D. thesis report.
Genetic parameters for agronomic and nutritive traits of forage peanut in rainy and dry seasons
Authors:   Universidade Federal do Acre, Miqueloni Daniela Popim , Assis Giselle Mariano Lessa de ,   Empresa Brasileira de Pesquisa Agropecuária, Beber Paulo Marcio ,   Instituto Federal do Acre
Published: October 2023

Considering the productive seasonality, the objective of this work was to estimate genetic parameters for agronomic and nutritional traits of forage peanut for selection of more adapted and productive genotypes in the dry and rainy seasons. Sixty-seven genotypes were evaluated in three time-separated trials. Agronomic and nutritional data were analyzed by mixed model methodology (REML/BLUP), considering the seasons separately. There was genetic variability and environment influence for the traits in each season, except for the nutritional ones. There are favorable conditions for selection in the dry period, with high consistency among trials and high accuracy, for some agronomic traits. The selection for flowering is benefited in the rainy season.
EXPLORING PROSODY OF STUTTERING DISORDER EXPRESSED ON MATICE AHNJAMINE VLOG
Authors: Salwa Fika Nadiyah Umi , Indah Rohmani Nur
Published: October 2023

This study aims to identify the type of stuttering and analyze intonation that appears on Matice Ahnjamine in her YouTube vlog. Matice’s videos contain her stuttering life. The stuttering disorder as the difficulty in speaking can be seen from its type and the intonation pattern used when making statement. The research data are in the form of words, phrases, and sentences from the selected videos. The data analysis employs Zebrowski's theory (2003) on the type of stuttering, also a combination of Gimson (1975) and Wells (2006) theories in analyzing intonation in Matice's declarative sentences. The findings show four types of stuttering made by Matice, namely repetition, silent pause, prolonged vowel, and interjection. In addition, the intonation used in her speech shows that in the final words and stuttering words have different intonations because when stuttering words appear sometimes the intonation is not clear. Based on the findings, the dominant type of stuttering type appears is repetition and the intonation which often used at the end of the final word is falling intonation.
TRANSLINGUAGING IN EFL CLASSROOM AND ITS IMPACT ON STUDENT'S PERFORMANCE AT A SECONDARY SCHOOL LEVEL: A SYSTEMATIC REVIEW
Authors: La Ode Rasmin  , Nur Sahril
Published: October 2023

Translinguaging is a phenomenon of language use where the people are bilingual or multilingual. Tanslinguaging occurs in the community and schools, both rural and urban areas. At the Indonesian secondary school level, the learning of English as a foreign language (EFL), teachers and students at schools use the target language (English) and the Indonesian language as the official language in the education system. But, local languages also occur and are used in schools for the students who have their local language, including in rural schools. This article uses the literature review method to analyze the use of translanguaging (Indonesian language, local language, and English) in EFL classrooms at schools and its effects. The author collects several national and international journals. The journal was compiled purposively, which related to translanguaging at schools. The literature review found that translinguaging in the EFL classroom influences students' performance with multilingual backgrounds (Indonesian language, local languages, and English). Therefore, translinguaging-based instruction is considered good if applied to learning English as Foreign Language (EFL).
THE USE OF NINJA APPS GAME TO ENRICH THE STUDENT'S WORD STOCKS
Authors: Elisa Henry , Tuti  , Sijono
Published: October 2023

This research was carried out to help the students' problems in the classroom. Based on the pre-observation students tended to be passive and unmotivated and engaged in the learning process. Besides, the students also had a poor vocabulary. The researchers then applied Ninja Apps Game to solve the problems. The objectives of this research were to improve the students' participation and motivation through the implementation of Ninja Apps Game. This research employed classroom action research on thirty-eight students of the non-English study program. To collect the data the researchers used observation, interview, and measurement techniques. The instrumentations used were an observation sheet, field note, test, and interview guidelines. The findings showed that Ninja Apps Game effectively improved the students' participation, motivation, and vocabulary mastery. The students were happy, relaxed, and enjoyed the implantation of Ninja Apps Game.  The finding of this research brings a new perspective to the teaching and learning process, especially in teaching vocabulary. Ninja Apps Game provides some activities which reflect cooperation, competition, and also discipline in using time.
THE ABILITY OF THE 2022/2023 ACADEMIC YEARS STUDENTS OF ENGLISH STUDY PROGRAM, ISLAMIC UNIVERSITY OF INDRAGIRI IN IDENTIFIYING BETWEEN TRANSITIVE AND INTRANSITIVE VERBS IN A SENTENCE
Authors: Agus Mustajib  , Dahrial
Published: October 2023

This research was intended to find out the student’s ability in identifiying transitive and intransitive verbs in a sentence. The method used in this research was the descriptive quantitative research. The population of this research was the students of Islamic University of Indragiri. The sample of this research were 21 students at the first semester of English Study Program, Islamic University of Indragiri in the academic 2022/2023 years. In collecting the data, this research used written test (essay) as the research instrument to use to find out the students’ ability in identifiying transitive and intransitive verbs in a sentence.  The students were asked to undeline whether transitive and intransitive verbs in a sentence. The total mean score was taken  from two indicators, that were transitive verb with mean score 65.8 in a good level and intransitive verb with mean score 55.93 in an enough level. Based on the result of data, for both of indicators, their ability in identifiying transitive and intransitive verbs in a sentence were 59.58 in an enough level. In conclution, from the total mean score 50% the students can identify transitive and intransitive verbs in a sentence, but their ability in identifiying an intransitive verb was still limited.
ANALYSIS OF AMBITIOUS CHARACTERIZATION OF THE EVIL QUEEN THROUGH PLOT DEVELOPMENT “SNOW WHITE AND THE SEVEN DWARFS” MOVIE
Authors: Ningsih Putu Sri Suci
Published: October 2023

This study presents how prose fiction can be reflected in human life through a feminist literary criticism approach one of them is to identify the ambitious characterization of the Evil Queen in the novel and film adaptation entitled Snow White and the Seven Dwarfs through plot development is closely related to human life. Human characterization certainly has an ambition that they will do anything to get what they want. This study has the purpose that to find out the ambitious characterization of the feminist side of the Evil Queen through plot development between the novel and film adaptation of Snow White and the Seven Dwarfs. This study used close reading as the method by reading the novel and watching the film adaptation of “Snow White and The Seven Dwarfs”.  The result of this study is the Evil Queen has an ambitious characterization that is closely related to the feminist side both in the novel and film adaptation of Snow White and the Seven Dwarfs.   

Keywords: Prose fiction,  Ambitious characterization, Plot development, Novel, Film Adaptation.
THE USE OF GOOGLE JAMBOARD TO IMPROVE STUDENTS’ READING COMPREHENSION
Authors: Dwipayanti Ari
Published: October 2023

The development of information technology makes technology used in various fields, one of which is education. At first, traditional learning was synonymous with the use of whiteboards, chalk, and markers to facilitate the delivery of material. However, the presence of technology makes learning more interesting for students. Google Jamboard is one of the technologies known as digital whiteboards that can be used to teach English skills. This study aims to determine the use of Google Jamboard as a tool to improve reading comprehension in EFL students. This research is qualitative research using the results of interviews with English teachers who use Google Jamboard as a teaching tool and EFL students. The results of the study show that Google Jamboard can assist teachers in teaching reading comprehension activities to students and is able to provide interactive learning for students.
On the variability of measuring features of the head and face in adult Chuvash examined in two districts of Bashkiria (age and epochal aspects)
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Batsevich Valery A. , Permiakova Ekaterina Yu. ,   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Maurer Andrey M. ,   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia
Published: October 2023

Introduction. This work is devoted to the study of some aspects of age and (or) temporal variability of a number of morphological features of the head and face in the adult Chuvash population in Bashkiria. The objectives of the study were to analyze and assess the presence and degree of morphological changes on the skull of an adult according to a number of signs included in the program on ethnic anthropology, as well as to study their possible connection with age-related transformations or acceleration of development and secular trend. Materials and methods. The surveys were conducted in two districts of Bashkiria, Aurgazinsky and Bizhbulyaksky, in villages with a predominantly Chuvash population. The material was collected in 1999, in total, data were obtained for 361 men and 352 women born from 1915 to 1980. The paper studied the temporal and age variability of the following features: longitudinal, transverse, zygomatic and mandibular dimeters, the smallest width of the forehead, measured the morphological height of the face (from the nasion) and the circumference of the head, calculated the head index. The material was collected by the same researcher. The data were divided into 11 age groups in increments of 5 years, starting in 1925. In each group, the average values of the features and standard deviations were calculated. For all signs, scatter diagrams of the values of signs vs year of birth are presented. Results and discussion. The most stable signs in terms of age were the minimal width of the forehead, head circumference and mandibular diameters. The magnitude of the head index varies significantly due to age-related changes in the transverse and longitudinal diameters of the head, which determine the magnitude of the index. The age-related decrease or stable condition of the head pointer, according to G.L. Hit’ [1968], contradicts our observations. For most indicators, with the exception of morphological height of the face and zygomatic diameter, no pronounced changes were found, which may be due to local features of the development of the examined group. Conclusion. The conducted studies have shown that for a more thorough study of the problem under consideration, it is necessary to attract additional materials collected at different times and under different environmental conditions for a close group (for example, in stable populations of Khalkha Mongols). @ 2023. This work is licensed under a CC BY 4.0 license.
Dynamics of sexual dimorphism of somatic status of children of early and first childhood from Russia and former USSR through the latest century
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Fedotova Tatiana K. , Gorbacheva Anna K. ,   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia
Published: October 2023

Introduction. The goal of study is description of secular dynamics of sexual dimorphism (SD) of main somatic dimensions of children of early and first childhood and its quantitative estimation. Material and methods. The main source of material – books on physical development of children and adolescents of cities of Russia and former USSR, collected and treated according to the common methodical standards of Science Research Institute of Child Hygiene and thus completely comparable. Analysis of material was held in two variants – meta-analysis based on the whole pool of samples and description of the local patterns of secular SD dynamics in connection with the level of anthropogenic pressure of the residence place and ethnicity of samples. The estimation of the vector and level of associations of SD of anthropometric traits and secular factor was held using correlation analysis. The quantitative estimation of SD value was held using Kullback divergence, analogue of Mahalanobis distance. Results. Meta-analysis revealed average temporal stability of somatic SD through the early and first childhood Analysis of SD dynamics of Moscow children revealed some decrease of SD levels in 1970s, in other words temporal macrosomization of Moscow girls as compared to boys. The level of urbanization results in greater macrosomization of boys as compared to girls in environments with higher level of anthropogenic pressure – city with 1 million population quantity compared to the small town with stable quantity of population about 40 000. Ethnic specificity of the vector and velocity of secular SD dynamics is illustrated with the model of Russian and Tatar children of Kazan and Russian and Chuvash children of Cheboksary. Conclusion. The results of study support the fact that higher ecosensitivity to the secular factor is not the prerogative of male sex only; early and first childhood do not give examples of systematic effect of higher ecosensitivity of boys compared to girls of their ethnoterritorial groups to the temporal factor. SD of body dimensions is the autonomic marker of the microevolutionary somatic dynamics through the early and first childhood. The most informative quantitative indicator of intergroup specificity of secular processes is SD of height. @ 2023. This work is licensed under a CC BY 4.0 license
A 1500-year retrospective of intergroup craniometric variability in Central Asian population (7th c. BC – 8th c. AD)
Authors:   N.N. Miklukho-Maklai Institute of Ethnology and Anthropology, Russian Academy of Sciences, Leninsky pr., 32a, Moscow, 119334, Russia, Kufterin Vladimir V. , Syutkina Taisiya A. ,   N.N. Miklukho-Maklai Institute of Ethnology and Anthropology, Russian Academy of Sciences, Leninsky pr., 32a, Moscow, 119334, Russia, Dubova Nadezhda A. ,   N.N. Miklukho-Maklai Institute of Ethnology and Anthropology, Russian Academy of Sciences, Leninsky pr., 32a, Moscow, 119334, Russia
Published: October 2023

Introduction. The paper revisits the intergroup craniometric variability in the Early Iron Age, Antiquity and Early medieval Central Asian population. Some new cranial materials are considered within the hierarchical system of the regional populations. Materials and methods. The comparison included 61 cranial samples from all historical and cultural regions of Central Asia with a total of 1100 crania. 12 standard measurements of the facial skeleton were used. First, we conducted Canonical discriminant analysis. Second, the matrix of Mahalanobis D2 distances was obtained using the resulting group coordinates in the space of the canonical vectors. Finally, the distance matrix was subjected to Multidimensional scaling and the Ward’s hierarchical cluster analysis. Results. The first three canonical variates reflect 53.4% of the total intergroup variation and differentiate samples based on bizygomatic breadth, orbit dimensions, nasal bridge height (and width to a lesser extent), horizontal profiling angles and nose protrusion angle. Upper facial height also contributes to intergroup craniometric variability but does not play a decisive role in differentiating among samples of European ancestry in the considered chronological period. Correlation coefficients between canonical variables and multidimensional scaling coordinates suggest similar relative positions of the groups in the scatterplots. Discussion. Considering the mixed nature of the Central Asian population and the difficulty of objective differentiation of morphological types, we caution against unreflective use of terms “East Mediterranean type” and “Pamir-Fergana race”. The results suggest that the Antiquity and Early medieval sedentary populations are difficult to distinguish from nomadic and semi-nomadic groups of the Wusun period. The new materials confirm the morphological similarity between Early medieval population of Sogdiana (ancient Panjakent) and Ushrusana (Kurkat dakhmaks). @ 2023. This work is licensed under a CC BY 4.0 license
Comparative study of anthropological aspects of greek vase painting and etruscan murals
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Shpak Larisa Yu.
Published: October 2023

Introduction. The fine arts of archaic Greece and Etruria experienced a noticeable influence of the East. The transition from archaic to classical time influenced the forms of depicting the morphological features of a person in antique art. Comparative study of the anthropological features of the antique population of the Mediterranean on the greek painted pottery and etruscan murals of the archaic and classical times was the purpose of our study. Materials and methods. The material was collected in the online-collections of ancient collections of museums. We used the method of a composite portrait in a digital version, the calculation of the frequency of features in our study. Studied features was – beard growth, hair color and nature of the hair. Results and discussion. On the etruscan murals of the archaic period, the frequency of depicting straight nature of the hair in women is the highest (7,7 %) in all samples; for different groups of painted pottery, it does not exceed 7 %. The degree of beard growth according to vase painting and etruscan murals is characterized by a strong and very strong growth. A greater manifestation of hair pigmentation polymorphism according to painted pottery is noted in the images of the classical period. Dark hair predominates in all groups, grey-haired was depicted only in male characters. Hair depigmentation on painted pottery is observed in images of the classical and late classical periods and did not exceed 6 % in the total sample. Pigmentation on etruscan murals indicates a lightening of the hair in the group towards reddish-red shades, depigmentation does not exceed 8%. Features of the depiction of pigmentation in to vase painting and murals, despite the different technique and coloring, reveal common tendencies of variability characteristic of the Mediterranean groups. Composite portraits based on painted pottery reflect the historical transformation of the anthropo-aesthetic ideas of the greeks through the fine arts of the archaic and classical times. Conclusion. Color in greek painted pottery performs not only a decorative function, but is also an artistic means of conveying morphological variability. Involvement of antique written sources of the description of population and the philosophy of color in antique culture can help in the anthropological reading of vase painting and further study of pigmentation polymorphism. @ 2023. This work is licensed under a CC BY 4.0 license
Craniological research of skulls from two Huns’ burials from the Crimea (the ancient settlement Ust-Alma, 4th–5th centuries AD)
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Khodyreva Daria S. , Shkribliak Irina I. ,   Historical and Archaeological Museum-Reserve «Naples Scythian», Archeologicheskaya str., 1, 295029, Simferopol
Published: October 2023

Introduction. The invasion of the Huns in Europe, which became the cause of the Great Migration of peoples, could not but leave a significant archaeological trace. However, only a small number of Hun burials are currently known, most of which were discovered accidentally in the middle of the 20th century, which makes each newly discovered burial unique, and their comprehensive study and publication of individual data is important for subsequent research. Materials and methods. During the excavations in 2021–2022, two Hun burials were discovered in the Ust-Alma necropolis. One of them belonged to a young man, the second to an elderly woman. The good preservation of both skeletons, in particular their skulls, allowed for a complete craniological examination. In addition, a children's Hun skull from the Belyaus settlement was examined, which is in permanent storage at the D. N. Anuchin Research Institute and Museum of Anthropology. Results. As a result of the work carried out, it was found that both individuals from Ust-Alma have the same type of skull deformation – high annular (according to the classification of E.V. Zhirov). However, the deformation methods were probably different. The deformation of the skull of a child from Belyaus is defined as occipital with right-sided asymmetry of the occiput. Craniophenetic data do not indicate the relationship of individuals buried in the Ust-Alminsky burial ground. Craniometric data indicate a mixed origin of the crimean Huns. Conclusion. Due to the small number of Hun burials from Ust-Alma, as well as individual data on Hun skulls in the scientific literature, it is difficult to conduct a statistical analysis based on craniological data. Within the typological approach, for a number of features, the male skull was characterized as Caucasoid, and the female as Mongoloid. Thus, new craniological data on rare Hunnic skulls introduced into scientific circulation will increase the comparative base for further research. @ 2023. This work is licensed under a CC BY 4.0 license
From the funds of the Museum of Anthropology of the Moscow State University. Photographs of the peoples of the North Caucasus in the exposition of the Anthropological Exhibition of 1879: Karachays
Authors:   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia, Stepanova Alevtina V. , Sukhova Alla V. ,   Lomonosov Moscow State University, Anuchin Research Institute and Museum of Anthropology, Mokhovaya st., 11, Moscow, 125009, Russia
Published: October 2023

Introduction. This publication is the second in a series of articles devoted to the description of the collection of photographs of representatives of the peoples of the Kuban region, and is devoted to the study of a part of the collection, including photographs of Karachays. Materials and methods. The basis of the work was a collection of photographs collected by E.D. Felitsyn (1848-1903), presented by him at the Anthropological Exhibition of 1879 in Moscow and kept in the funds of Anuchin Scientific Research Institute and the Museum of Anthropology of Lomonosov Moscow State University. Results and discussion. Photographs of the Karachays of the Batalpashinsky district (now the village of Batalpashinsky - the city of Cherkessk) are described and analyzed. Of these: two photographs of children (8 years old), four photographs of men (19, 37, 70 и 72 years old) and one photograph of a woman (57 years old). The authorship of the studied images has been established. All of them belong to the Russian photographer, the owner of one of the very first photo workshops in Tiflis, Vladimir Barkanov (1826-1892). A description is given of one of the famous dynasties of Karachay - the Krymshamkhalov princes, whose representative is depicted in the picture of the studied photo collection. A summary of literary anthropological information about the Karachavians of this period is presented. Conclusion. The presented materials are unique, have scientific, historical and documentary value and significance, allowing to determine the authenticity of the person depicted in the photo, and its dynasty, as well as to obtain a lot of information about the typical realities of the depicted era, in particular, the features of his life, costumes, customs, environment habitats, as well as the implementation of a comparative anthropological and historical and cultural analysis. @ 2023. This work is licensed under a CC BY 4.0 license
Enhancing conversational sentimental analysis for psychological depression prediction with Bi-LSTM
Authors: G. Selva Mary , A. John Blesswin , Venkatesan Mithra , Vairagar Shubhangi , Adagale Sushadevi , Shravage Chetana , Barpute Jyotsna
Published: October 2023

Human mental health (HMH) is a pervasive and impactful condition that profoundly affects an individual’s cognitive, emotional, and behavioural aspects in a negative manner. Among various mental health disorders, depression is particularly prevalent, with approximately 20% of women experiencing at least one depressive episode during their lifetime. Identifying depression early on is crucial for timely intervention and support. This study examines user-generated content from major social platforms like Twitter, Facebook, and Instagram, aiming to detect potential signs of depression through behavioural symptoms such as mood changes, loss of interest, altered sleep patterns, focus difficulties, and impaired decision-making. Leveraging natural language processing and machine learning, sentiment analysis deciphers emotional context in posts and comments. A new efficient methodology utilizing Bidirectional Encoder Representations from Transformers (BERT) is proposed for efficient analysis of the posts and comments. Knowledge distillation transfers insights from a large BERT model to a smaller one, enhancing accuracy. Integrating word2vec and BERT with bidirectional long short-term memory (Bi-LSTM), the approach effectively analyses depression and anxiety indicators in social media data. Comparative assessments highlight the system’s excellence, achieving a remarkable 98.5% accuracy through knowledge distillation. The proposed methodology marks a substantial stride in identifying mental health signals from social media, facilitating better early intervention and support for those facing depression and anxiety-related challenges.
An enhanced distributed framework for real-time performance testing of large scale IoT dataset using big data analytic tools
Authors: Hasanpuri Vijay , Diwaker Chander
Published: October 2023

The demand for analyzing enormous IoT datasets is rising in parallel with the popularity of the IoT. There are considerable obstacles to effective processing and analysis due to the amount, velocity, and variety of IoT data. In this research, we present a distributed system that makes use of big data analytic tools like Apache Hive, Spark, and Hadoop to efficiently test the performance of massive IoT datasets. The framework addresses the lack of a comprehensive solution by providing a scalable and fault-tolerant architecture. We discuss the motivation behind real-time performance testing in the context of big data analytics for IoT datasets and highlight the need for a distributed framework. A literature review is conducted to explore existing performance testing frameworks, big data analytic tools, and approaches for performance testing big data analytics. The proposed framework’s key components, including dataset generation, test scenario specification, cluster configuration, performance metrics collection, analysis and visualization modules, and implementation details, including tool choices, are discussed. An experimental evaluation is conducted to validate the framework’s performance, and it is suggested to incorporate blockchain technology. Overall, the proposed framework offers a comprehensive solution for real-time performance testing of large-scale IoT datasets, providing organizations and researchers with a valuable tool to ensure efficient and reliable IoT data processing and analysis.
A novel Prairie Dog Optimization Algorithm (PDOA) based MPPT controlling mechanism for grid-PV systems
Authors: Marlin S. , Jebaseelan S. D. Sundarsingh
Published: October 2023

Recently, the solar photovoltaic (PV) systems are increasingly used in many application systems, due to their efficiency and cost-effectiveness. Still, extracting the maximum energy from PV panels under varying climatic conditions is one of the most significant problems. For this purpose, various optimization based MPPT controlling mechanisms are developed in the conventional works for obtaining the maximum energy yield. However, it suffers with the major problems of low convergence, computational burden, high time consumption to reach the optimal solution, and lack of efficiency. Therefore, this research work objects to implement a novel and recently developed optimization technique, named as, Prairie Dog Optimization Algorithm (PDOA) for MPPT controlling. With superior tracking efficiency and enhanced speed, it helps to extract the greatest power from the PV panels. In order to manage the output of PV with less switching stress and loss, a high gain interleaved SEPIC DC-DC converter is also used. A better power quality is ensured by using the voltage source inverter to lower harmonic distortion levels. The significance of the proposed study is to develop a novel optimization based MPPT controlling technique to obtain the maximum energy yield form the PV panels. The PDOA technique is not previously used for power extraction and MPP tracking, due to its intelligent best optimum solutions with high convergence, the proposed work uses the PDOA technique to optimally identify MPP. Also, the voltage boosting and conversion is performed with the use of high gain interleaved SEPIC converter with increased efficiency. Performance study evaluates and compares the simulation outcomes and the efficacy of the suggested regulating topology using a variety of metrics, including IV & PV characteristics, output voltage, output power, THD, grid output, peak time, settling time, and others.
Analysis of business feasibility and trade system for rattan crafts in Rumbai district, Pekanbaru City
Authors: Latifah Siti , Agus Purwoko  , Sindy Hutapea
Published: October 2023

Rattan is one of the commodity timber forest products used as raw material for the rattan industry. One of the small businesses that is quite developed in Rumbai District, Pekanbaru City is the rattan handicraft business which is a traditional small industry and is a family business. This study aims to determine the business feasibility and trading system of the rattan handicraft trade. This research was conducted with a quantitative and qualitative descriptive approach. The method used for data collection is a field survey through observations, interviews, and questionnaires on rattan craftsmen and Trade Units (UD). UD Rattan Crafts in Rumbai can be said to be worthy of continuing. This is because the NPV value of the trading business in Rumbai is > 0, IRR > from interest rates, and BCR > 1. Analysis of the trading system shows that there are trading system functions that are used, namely the exchange function, physical function, and facility function.
Isolation and identification of cellulolytic fungi under Swietenia macrophylla, Mimusops elengi, and Polyalthia longifolia stands at the Universitas Sumatera Utara campus, Indonesia
Authors: Muhammad Zyldanvi Bahri  , Deni Elfiati  , Arida Susilowati  , Rizka Amelia
Published: October 2023

The Universitas Sumatera Utara has various types of trees scattered in the surrounding environment. Swietenia macrophylla, Mimusops elengi and Polyalthia longifolia are the three most common tree species found on campus. To maximize the potential for utilizing tree species on the Universitas Sumatera Utara campus, several efforts can be made, one of which is by exploring the presence of cellulolytic fungi.
Cellulolytic fungi are fungi that are able to hydrolyze cellulose which can produce cellulase enzymes. This study aims to obtain the potential and identify cellulolytic fungi from the soil under Swietenia macrophylla, Mimusops elengi and Polyalthia longifolia stands. Sampling was taken by making 3 plots on each type of stand measuring 20 m x 20 m with a soil depth of 0 – 20 cm. In each plot, 5 sampling points were made. The soil taken from each type is then composed. Isolation of cellulolytic fungi was carried out using Carboxy Methyl Cellulose (CMC) media. The potenstial of cellulolytic fungi is obtain by calculating the cellulolytic index. All isolates obtained were identified morphologically down to the genus level. The result showed that the potency of the cellulolytic fungi ranged from 0.05 to 1.36. The identification results that the isolates included the genus Aspergillus and Trichoderma.
Life cycle assessment in Indonesia forestry sector: A scoping review
Authors: Budi Mulyana  , Mohamed Hemida
Published: October 2023

Life cycle assessment (LCA) is a tool to analyze the environmental impact of the process of production or services. Forest provides enormous environmental benefits through ecosystem services, but some forest management activities (nursery, thinning, pruning, pest control, and harvesting) have produced some negative impacts, such as pollution from machine utilization, fertilizer and pesticide, and water consumption. Furthermore, this paper describes the application of LCA in the forestry sector in Indonesia. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) approach to identify, screen, and inclusion the relevant articles. Identified 35 articles related to life cycle assessment in Indonesia's forestry sector, and only 11 articles were eligible for content analysis. The findings have shown that the research trend on LCA in the Indonesia forestry sector started in 2009, but since 2015 the number of publications has been relatively constant. The functional unit used in LCA varied (mass, energy, time, and area size).
The system boundary also varied  from cradle to gate, gate to gate, and cradle to grave. The environmental impacts found in the articles were global warming potential, acidification, and eutrophication parameters. In conclusion, LCA has been applied in Indonesia’s forestry sectors (roundwood production, furniture industries, biomass and wood pellet production). We propose that the future research direction is specific research in the site forest operation, such as seedling production, forest maintenance, and forest harvesting activities. We also recommend a more varied research scope to elaborate the LCA in private forest and non-timber forest product processes.