bluuebunny/crossref_metadata_2025 huggingface dataset:
Accuracy of cephalometric landmark and cephalometric analysis from lateral facial photograph by using CNN-based algorithm
Authors: Shimamura Yui , Tachiki Chie , Takahashi Kaisei , Matsunaga Satoru , Takaki Takashi , Hagiwara Masafumi , Nishii Yasushi
Published: July 2024

Cephalometric analysis is the primary diagnosis method in orthodontics. In our previous study, the algorithm was developed to estimate cephalometric landmarks from lateral facial photographs of patients with normal occlusion. This study evaluates the estimation accuracy by the algorithm trained on a dataset of 2320 patients with added malocclusion patients and the analysis values. The landmarks were estimated from the input of lateral facial photographs as training data using trained CNN-based algorithms. The success detection rate (SDR) was calculated based on the mean radial error (MRE) of the distance between the estimated and actual coordinates. Furthermore, the estimated landmarks were used to measure angles and distances as a cephalometric analysis. In the maxillary protrusion, MRE was 0.42 ± 0.15 mm, and in the mandibular protrusion, MRE was 0.46 ± 0.16 mm. We conducted a cephalometric analysis using the estimated landmarks and examined the differences with actual data. In both groups, no significant differences were observed for any of the data. Our new algorithm for estimating the landmarks from lateral facial photographs of malocclusion patients resulted in an error of less than 0.5 mm; the error in cephalometric analysis was less than 0.5°. Therefore, the algorithm can be clinically valuable.
Metabolomics-based model for early warning of acute kidney injury risk in diquat-exposed patients
Authors: Zhu Shengkai , Li Xinyu , Wu Chengzhao , Zhao Xu , Xu Shuiying , Zhao Yujing , Peng Xiaobo , Xiao Xiaohe , Niu Ming
Published: July 2024

Acute kidney injury (AKI) is one of the most important indications of severe clinical symptoms in patients with diquat poisoning and is closely related to poor prognosis. However, current studies have rarely focused on early warnings of diquat-related AKI, which is not conducive to the treatment of patients with early clinical diquat poisoning. In this study, untargeted plasma metabolomics was employed to reveal differences between diquat-poisoned patients with and without AKI, as well as between patients and healthy volunteers. The results showed that 48 metabolites were significantly changed in the patients, among which 3-hydroxybutyrylcarnitine, SAICAR, dodecanoic acid, and tetrahydrofolyl-[Glu](2) could be used to effectively differentiate the above three groups. Based on the ratios of the first two metabolites and the ratios of the last two metabolites, a decision tree model for the early warning of diquat-induced AKI was established with an accuracy and specificity of 88.7%. This model provides great support for accurate clinical diagnosis and intervention regarding the AKI risk of diquat-exposed patients.
Growth and Yield Attributes of Wheat (Triticum Asetivum L.) as Affected by Different Levels of Compost and Fym Under the Agroecological Conditions of District Buner
Authors: Zada Laiq , Sajjad Mohammad , Khan Abid , Khan Sher Nawab , Ayub Ashfaq , Ahmad Naseem
Published: July 2024

Wheat (Triticum aestivumL) a staple food crop belonging to the family poaceae plays a vital role
among cereals. For human beings and animals, it is a major source of protein and carbohydrates.
Plant nutrients are the major determinants of the productivity of any soil. Chemical fertilizers are
a ready-made source of nutrients for crops. They are less bulky and easy in transport and handle.
However, due to their high cost, growers could not afford. Organic matters not only improve soil
health, but also provide plant nutrients for sustainable crop yield. Chemical fertilizers neither
costly, but have deteriorated quality of the food. In order to reduce the gap, a pot experiment was
conducted to appraise the effect of compost and farm yard manure (FYM) on growth and yield
attributes of wheat under the agroecological conditions of District Buner” during winter, 2020.
The trial consisted of two factors: compost and FYM applied @ 0, 5, 10, 15 and 0, 10, 20 Ton ha
1 respectively. Before the start of the experiment each pot was filled with 12 Kg sieved soils.
Compost and farm yard manure (FYM) were mixed with soils before filling the pots according to
their combination. N, P and K were mixed as urea, single super phosphate (SSP) and sulphate of
potash (SOP @ 120, 90 and 60 kg ha-1. Wheat cultivars (Pirsabak-2015) were sown in pots (30
seeds each) and then thinned to nine. Pots were arranged by using CR Design with three
replications. Plant height, tillers/pot, Spike length, Grains spike-1, Biological yield, grain yield
and thousand-grain weight showed positive responses towards mix application of compost and
FYM @ 15 and 10 tons/ha as compared to control treatments. Therefore, combining the
application of compost and FYM @ 15 and 10 tons-ha-1 is recommended to get a better yield of
wheat.
Large Language Models take on the AAMC Situational Judgment Test: Evaluating Dilemma-Based Scenarios
Authors: Cadiente Angelo , Chen Jamie , Kasselman Lora , Pilkington Bryan
Published: July 2024

The adoption of technology in medical education, including the use of situational judgment tests (SJTs), reflects the field's evolving nature. The Association of American Medical Colleges (AAMC) Situational Judgment Test (SJT) is understood to be the gold standard to assess pre-professional competencies in prospective medical students. Thus, the impact of such an exam is extensive and students’ abilities to engage with it can deeply impact the future of health professions – in particular, medical – education. This study aims to evaluate the performance of large language models (LLMs) in interpreting and responding to the AAMC SJT to understand the opportunities for its use and the obstacles that might exist. The study utilized the 2021 AAMC SJT practice exam, querying the LLMs to rate the effectiveness of various behavioral responses to each scenario. Both raw and adjusted scores were calculated in accordance with AAMC’s guidelines. The sentiment of each solution was analyzed using Monkeylearn Sentiment Analyzer. Statistical analysis involved descriptive statistics, logistic regression, and the calculation of Fleiss Kappa for inter-model agreement. LLMs at various stages of development were compared, with the idea that improvements might occur, a finding which would be of interest to educators using AI tools to evaluate SJTs, to prospective health professions trainees interested in preparing for such exams, and practicing professionals who aim to improve or fine tune their social intelligence-related skills. Our findings demonstrate that ChatGPT-4.0 (raw score: 58.6%, adjusted score: 71.2%) outperformed ChatGPT-3.5 (raw score: 42.4%, adjusted score: 61.6%) and Bard (raw score: 37.6%, adjusted score: 58.1%) with all LLMs tending towards making the same inaccuracies. Sentiment analysis revealed no significant individual relationship with accuracy, although a collective trend was noted. Furthermore, increased solution count in scenarios correlated with decreased accuracy across all models combined but these results fell short of statistical significance. Ultimately, our study contributes to understanding the capabilities and limitations of LLMs in the context of medical education assessments. ChatGPT-4.0's performance indicates a significant advancement in LLMs’ ability to interpret and respond to complex social situations.
Retrieving Ground Displacements by Tightly Integrating Inertial Instruments with GNSS
Authors: Lee S. W. , Yun S. H. , Chang C. W. , Kim J. R. , Tapley B. D.
Published: July 2024

Traditional methods of calculating near-field seismic displacements using the recordings of strong motion accelerometers require a correction procedure to remove baseline offsets that may be caused by rotation and tilting motions of the ground. The baseline correction is, however, subjective and likely to remove low-frequency components of the seismic signals. We employ a new method based on the tightly coupled integration of accelerometers, gyroscopes and GNSS, which does not require the baseline correction. To investigate how well different retrieval methods account for the effects of the rotation and tilts on the displacements, synthetic case studies are conducted using the accelerometer recordings obtained from actual earthquakes. Results showed that the method employed can provide a clear improvement over the traditional methods when the accelerometer recordings are affected by the rotation and tilting motions of the ground. Also the method was capable of recovering permanent displacements partly because it ingests GNSS measurements that allow direct observation of the ground displacements and also partly because it does not experience loss of information induced by the baseline correction.
Applying Large Language Models to Enhance Dialogue and Communication Analysis for Adaptive Team Training
Authors: Spain Randall , Min Wookhee , Kumaran Vikram , Pande Jay , Saville Jason , Lester James
Published: July 2024

Adaptive training environments that can analyze team communication content and provide remediation to facilitate team coordination offer great potential for enhancing adaptive training systems for teams. Developing computational models that can perform robust team communication analytics based on small datasets is challenging. Large language models (LLMs) offer significant potential to address these challenges and enhance dialogue act classification performance using zero-shot and few-shot learning. This paper evaluates LLMs against previous state-of-the-art methods, with an emphasis on dialogue act recognition performance and error analysis for identifying frequently misclassified instances. Results from a small team communication dataset indicate that zero-shot LLMs, particularly those utilizing GPT-4 and refined through robust prompt engineering, achieve significant classification performance improvements in dialogue act recognition compared to previous state-of-the-art transformer-based models fine-tuned with team communication data. Error analysis shows that the prompt refinements, especially those aimed at clarifying confusion between dialogue acts, result in superior recall rates for challenging dialogue act labels by effectively handling complex dialogue scenarios and ambiguities within communication data. Our transformer-based framework demonstrates its effectiveness in achieving high accuracy rates in dialogue act recognition with minimal training data, underscoring its potential to enhance team training programs by providing adaptive feedback. This approach paves the way for developing AI-enabled training systems that can adapt to the dynamic communication styles of different teams.
Characteristics of Thermo-stable Serine Peptidase Vpr from Endophytic Bacillus cereus strain InaCC-B1657
Authors: Hastuty Aerma , Mangunwardoyo Wibowo , Suhartono Maggy Thenawijaya , Rahmani Nanik , Ferdian Pamungkas Rizky , Hidayat Iman
Published: July 2024

Bacterial endophytes are a promising source of novel fibrinolytic enzymes with unique metabolic pathways and desirable characteristics that may not be present from conventionally explored sources. This study aimed to characterize fibrinolytic enzymes from selected endophytic bacteria isolated from papaya (Carica papaya L.) leaves and the genes encoding the enzymes. A strain BFP1 (InaCC-B1657) that showed the highest fibrinolytic activity was identified as Bacillus cereus based on the phylogenetic analysis of the 16S rRNA sequence. The enzyme exhibited optimum activity at 50°C and pH 7.0, and remained stable until 80°C and pH 6–10 for 24 h. The assay of metal ions and inhibitors on the fibrinolytic enzyme activity found that adding Cu2+ stimulated, while Fe2+ reduced the activity. PMSF and TPCK inhibited the enzyme activity, while adding EDTA and EGTA increased the activity. These suggest that the fibrinolytic enzymes belong to the serine protease group. Of the 21 proteases/peptidases determined from the 5,257,484 base pairs (bp) genome, minor extracellular protease Vpr and S8 family peptidase genes were found related to the fibrinolytic enzyme activity. The Vpr gene has a molecular weight of 98.5 kDa. The subtilase domain (peptidase S8 family) and the catalytic triad subtilase active sites (Asp204, His237, and Ser531) were detected. A prediction of physicochemical characteristics of the Vpr gene showed that the enzyme is hydrophilic and exhibited alkali-halo stability and thermo-stability over a broad range of temperatures.
Research on Text Sentiment Analysis of Dual-channel Hybrid Neural Network Based on LERT
Authors: Ai Peng , Liu Qicheng
Published: July 2024

In current text sentiment analysis tasks, existing pre-trained language models are limited in fully grasping the intrinsic language features and deeply comprehending complex language structures. Classic neural network models struggle to adequately capture the semantic aspects of text. To address these challenges, this study introduces a novel dual-channel hybrid neural network approach for text sentiment analysis, leveraging the LERT model. This approach initially utilizes the advanced pre-trained language model LERT to generate dynamic word vectors from the text and subsequently captures both local and global semantic characteristics through a parallel dual-channel feature extraction layer. The features that have been extracted are merged and inputted into the fully connected layer, followed by the application of the softmax function to classify emotions. Results from experiments demonstrate that compared with other sentiment analysis models, the proposed model LDB-Net performs better in overall performance, validating the effectiveness of the proposed method.
Research on Fault Detection of Belt Conveyor Drum Based on Improved YOLOv8 Network Mode
Authors: Du Xiangjun , Yu Li , Wang Jun , Yang Dengjie , Zheng Yao , Wang Yimin
Published: July 2024

This paper presents a comprehensive study on enhancing the accuracy, real-time performance, and reliability of fault detection in conveyor belt drums. Leveraging insights from two distinct approaches, a novel lightweight network model, YOLOv8n + EMBC + SCC, is proposed. The model integrates the strengths of YOLOv8n in target detection accuracy and speed with innovative modules designed for improved performance. Firstly, the EMBC module, based on DSC high-efficiency convolution, replaces the traditional C2F module in the backbone and neck segments, resulting in a notable 14.5% increase in speed and a 0.7% enhancement in accuracy. Secondly, the SCC efficient convolution module replaces the Conv module in the detection head, further optimizing computational load and model performance, leading to an additional 11.73% increase in speed and a 0.7% improvement in accuracy. Experimental results demonstrate the efficacy of the proposed model, achieving a detection accuracy of 93.4%, surpassing YOLOv8n by 0.9%. Moreover, the model exhibits an improved Frames Per Second (FPS) value of 38.21, representing a 3.56 f/s advancement over YOLOv8n. Heatmap analysis validates the model's superiority in terms of high detection accuracy, precise fault identification, and clear fault localization. This research contributes to the development of a fast, precise, and reliable fault detection system suitable for conveyor belt drum applications, with implications for improving operational efficiency and maintenance practices in industrial settings.
High-throughput RNA-Seq and In-silico analysis ofglioblastoma cells treated with cold atmosphericplasma and temozolomide.
Authors: Soni Vikas , Dawson Tyson , Lin Li , Crandall Keith , Sherman Jonathan , Keidar Michael
Published: July 2024

Glioblastoma multiforme (GBM) is one of the most common and aggressive forms of malignant brain cancer in adults and is classified based on its isocitrate dehydrogenase (IDH) mutation. Surgery, radiotherapy, and Temozolomide (TMZ) are the standard treatment methods for GBM. Here we present a combination therapy of cold atmospheric plasma (CAP) and TMZ as a key treatment for GBM. CAP works by increasing reactive oxygen and nitrogen species (RONS) and targets the spread of the tumor. In this study, we performed the transcriptomic analysis of U-87MG cells by high throughput deep RNA-Seq analysis to quantify differential gene expression across the genome. Furthermore, we studied various signaling pathways and predicted structural changes of consequential proteins to elucidate the functional changes caused by up or down-regulation of the most altered genes. Our results demonstrate that combination treatment downregulated key genes like p53, histones, DNA damage markers, cyclins, in the following pathways: MAPK, P53, DNA damage and cell cycle. Moreover, in silico studies were conducted for further investigation to verify these results, and the combination of CAP & TMZ showed a significant antitumor effect in the GBM cells leading to apoptosis and damaged key proteins. Further studies of the impact of TMZ on gene expression, biochemical pathways, and protein structure will lead to improved treatment approaches for GBM.
Genetic Inference of On-target and Off-target Side-effects of Antipsychotic Medications
Authors: Elmore Andrew , Sadik Aws , Paternoster Lavinia , Khandaker Golam , Gaunt Tom , Hemani Gibran
Published: July 2024

Adverse side-effects are the primary cause of antipsychotic drug discontinuation rather than poor efficacy. It is often difficult to ascertain whether patient-reported side-effects are caused by a drug, and if so, through which mechanism. Using a novel genetic method we have devised, we investigated evidence of causality and mechanism for 105 reported side-effects of 6 commonly prescribed antipsychotic drugs which target 68 receptors. We used publicly available drug binding affinity data and GWAS summary statistics along with statistical methods including Mendelian randomization and genetic colocalization to devise a representative ‘score’ for each combination of drug, side-effect, and receptor. We show that 48 side-effects are likely caused by drug action through 30 receptors, which are mainly attributable to off-target effects (26 off-target receptors underlying 39 side effects). Of individual drugs, clozapine has the largest cumulative side effect profile (Score = 27.4, SE = 5.2), and the largest number of side-effects (n = 46). We show that two well-known side-effects for clozapine, neutropenia and weight change, are underpinned by the action of GABA and CHRM3 receptors respectively. Our novel genetic approach can map side-effects to drugs and elucidate underlying mechanisms, which could potentially inform clinical practice, drug repurposing, and pharmacological development.
Interactive effects of family history of respiratory disease with age and body mass index on the risk of chronic bronchitis: A Cross-sectional Study
Authors: Li Ming , Du Jing , Gao Yanlin , Shi Yunping , Su Tingjian , Liu Qingping , Liu Yang , Wang Ping , Wang Chao , Shao Bing , Li Gang
Published: July 2024

Family history of respiratory disease (FHRD) is linked to chronic bronchitis (CB).This study aimed to investigate whether FHRD interacted with age and body mass index (BMI) to increase the risk of CB. A cross-sectional analysis was conducted on 22533 participants enrolled from the Beijing Population Health Cohort Study. Age and BMI were transformed into binary variables using cut-off points of 65 years old and 24 kg/m2, correspondingly. Logistic regression was used to examine the independent and interactive effects among FHRD, age and BMI on CB. Additive interactions between FHRD and age or BMI were further estimated using relative excess risk due to interaction (RERI), attribute proportion due to interaction (AP), and synergy index (S). FHRD was positively associated with the risk of CB (OR 2.21, 95% CI 1.92–2.55 ), which was enhanced by age ≥ 65 years old to 3.43 (95% CI 2.53–4.65) and by BMI ≥ 24 kg/ m2 to 2.99 (95% CI 2.40–3.72). There was no significant additive interaction between FHRD and age or BMI on CB. FHRD, older age and higher BMI were independently associated with increased risk of CB. Nevertheless, no interactive effects between FHRD and age or BMI were observed, and further studies were needed.
Exploring the limits of the provenience postulate: chemical and mineralogical characterization of Bronze Age ceramics from the Great Hungarian Plain
Authors: Golitko Mark , Riebe Danielle J. , Duffy Paul Regis , Parditka Györgyi , Kreiter Attila
Published: July 2024

Determining the provenience of archaeological objects relies on the so-called “provenience postulate,” namely, that sources of these objects are more compositionally distinct from each other than they are internally variable. For ceramics, it can be relatively straight forward in geologically heterogeneous environments to determine where vessels were produced, and whether they were traded or not. In geologically homogeneous regions, this can be far more complicated. In this study, we mineralogically and chemically compare Bronze Age ceramics (primarily Middle Bronze Age) from five archaeological sites on the Great Hungarian Plain to a large regional clay sample. The Great Hungarian Plain is comprised almost entirely of Pleistocene loess deposits, yet prior compositional studies have identified patterned variability between ceramics from different sites. Our results show that chemical variation in the region is continuous and clinal, making it difficult to strictly apply the provenience postulate to identify distinct production locations. However, we show that this clinal chemical variability can be used to make broad statements about whether most ceramics at any given site were produced relatively locally or were obtained from further distances (c. 50 km or more). We show that while production at most of our study sites was likely relatively localized, in one instance (the tell at Berettyóújfalu-Herpály-Földvár), many ceramics may have been obtained from other Bronze Age communities, including those in the Körös River drainage.
In vitro ruminal fermentation kinetics of alternative supplemental feeds formulated with by-products from food crops
Authors: Scott Mikeilah , John Eden Natalia , Jones Kegan Romelle
Published: July 2024

Commercial feed is an important component of ruminant production systems in Trinidad and Tobago. However, most farmers are unable to afford commercial feeds because of recent hike in prices and has resorted to available alternative feedstuffs. This study evaluated the in vitro ruminal fermentation kinetics and fermentation profile of two alternative supplemental feeds formulated from available agriculture by-products to determine their usefulness as alternatives to commercial feeds for small ruminants. Two iso-nitrogenous and iso-caloric alternative supplemental feeds were formulated with available agriculture by-products (cocoa hulls and shells, coconut meal, powdered bean, rice bran, rice hulls and corn stover). One was formulated without coconut meal (Supp.-CM) and the other without corn stover (Supp.-CS). In vitro ruminal gas production of the alternative supplemental feeds and a commercial feed was measured at 2, 4, 6, 8, 10, 12,18, 24, 36, 48, and 72 hours after incubation with buffered rumen inoculum. Gas production rate peaked 6-hours post incubation in the commercial feed and around 12–18-hours post incubation in the alternative supplemental feeds. The gas produced for the immediately soluble fraction (a) and potential degradability (PD) was highest in the commercial feed. However, gas production from the insoluble fraction (b) was similar for the commercial feed and Supp.-CS (246–262 g/kg− 1). Gas production rate constant for insoluble fraction (c), the lag phase, ruminal pH and partitioning factor (PF) did not differ between feed types. The estimated amount of methane produced from the alternative supplemental feeds (49.1 ml/g DM− 1) were significantly lower than the commercial feed (40.5–41.5 ml/g DM− 1) while organic matter digestibility (iOMD) was highest in the commercial feed (586 g/kg). Supplemental feeds from available agriculture by-products has potential to be used as alternatives to commercial concentrate feeds for ruminants in Trinidad and Tobago due to comparable fermentation efficiency (PF), fermentation of insoluble fraction and reduced estimated methane production. However, potential deleterious effects of Supp.-CM and Supp.-CS at the on-set of ruminal fermentation is concerning and may require further investigation.
Using Generative and Explainable Neural Networks to Investigate the Relationship Between Motor Cortex Activity and Animal Behavior During Motor Task Learning.
Authors: Luczak Artur , Tanabe Sean , Eckert Michael , Whishaw Ian , Tatsuno Masami
Published: July 2024

Understanding complex relations between neuronal activity and animal behavior is one of the most crucial questions in neuroscience. Rapid advancements in Machine Learning (ML) methods offer new powerful tools that can be used to investigate highly non-linear mapping between motor cortex activity and body movements. Here, by using explainable convolutional network (ConvNet) and Generative Adversarial Networks (GAN), we show how neuronal activity can be predicted from raw videos of animal behavior, and interestingly, we show that detailed videos of behaving animals can be recreated from activity of just few selected neurons. Those analyses revealed that the predictability of behavior from neuronal activity (and vice versa) initially increases as an animal learns a new task. However, after the animal performance on a motor task achieves the required accuracy, then “coupling” between neuronal activity and behavior decreases, without degrading task performance. In summary, we show how new ML methods could be applied to provide new insights in the relation between neuronal activity and behavior.
Regulation Compliance and Suspect Identification in Formula 1 Racing- A Case Study
Authors: Samuel Stephen
Published: July 2024

This paper presents a novel approach for suspect identification in Formula 1
racing. The energy required to drive the vehicle and the energy available from
the power sources while the vehicle is in the Drag Reduction Systems (DRS)
zone are considered as key parameters in this approach. It uses the data from
qualification runs of about 14 cars over 20 races in the 2022 race calendar. The
proposed approach is sensitive enough to detect the changes in vehicle setting
that is sufficient enough to influence the energy demand while on a straight part
of the track. This novel approach can be used to check the compliance between
Pre and Post-race Parc-ferme checks and identify suspects violating technical
regulations during dynamic events.
Bioinformatics analysis of ATOH7 gene mutation in retinogenesis
Authors: Choudhury Shouhartha
Published: July 2024

Background: The ATOH7 genes are established in the retina for optical nerve formation and ganglion cell maturation. Several data and reviews suggested that ATOH7 is known to be vertebrate Math5. So, the Math5 (ATHO7) gene is revealed in the neural retina for the genesis of retina ganglion cells and ocular or optic nerves. The primary neuron in the retina has been generalized in the eyes. The neuron-specific ATOH7 from the atonal gene family plays a fundamental role in neurons during retinal cell proliferation. The evolutionary wonderful eye patterns require atonal gene response at the initial state of retinal neuron growth. Therefore, the growth of the neuron in the retina requires inherited and peripheral elements.
Objective: In this study, the objective is to investigate the Math5 gene mutation in mammalian genomes. Therefore, perform powerful bioinformatics and computational techniques and tools for the current knowledge of ATOH7 gene mutations in two different organisms’ genomes.
Results: Genome-wide observation suggested the total number of bHLH domains in Homo sapiens, Pan Troglodytes, Gorillas, Ailuropoda melanoleuca, and Mus musculus. Further, bioinformatics and comparative analysis results documented the total numbers of ATOH7 genes and their family in all organisms. Also, the conserved domain, motifs, phylogeny, chromosome location, gene network, and gene expression demonstrated that the ATHO7 gene is associated with optical nerve formation and ganglion cell maturation.
Remarks: Therefore, finding data concluded the Math5 gene plays a fundamental role during retinogenesis. So, the ATOH7 or Math5 gene specified ocular nerve formation and ganglion cell maturation.
TERRITORY MARKETING: STUDY OF KEY TRENDS IN THE SCIENTIFIC RESEARCH DEVELOPMENT
Authors: Jasnikowski Adam , Neiman Ievgen , Dubovenko Maksym , Kaylyuk Oleksandr
Published: July 2024

Territorial marketing is a multifaceted scientific direction that includes elements of branding, use of digital technologies, performance evaluation and consideration of cultural factors. It is an important tool for territories' economic, social, cultural and ecological development. It helps attract investment, support local businesses, improve the quality of life for residents, preserve cultural heritage and promote sustainable development. The purpose of the article is to study the main trends in publishing activity on the subject of territory marketing. The authors have systematised the research areas of territory marketing: the conceptual foundations of territory marketing, territory branding strategies, the use of digital technologies in territory marketing, measuring the effectiveness of marketing campaigns, and the influence of cultural and social factors. With the help of the Scopus tools, the peculiarities of publication activity on territory marketing were investigated. For the period from 1990 to 2023, more than 1,573 publications were analysed. Italy, the USA, France, Spain, Great Britain, Australia, Portugal, India, and Canada are among the leading countries in publishing activity. Key subject areas include Social Sciences, Business, Management and Accounting, Economics, Econometrics and Finance, Environmental Science, Engineering, and Medicine. The most significant publications are affiliated with the Polytechnic Institute of Cávado and Ave, Portugal, the University of Guam, Guam Island, and Charles Darwin University, Australia. The authors conclude that socio-economic development and territorial development strategies focus on increasing competitiveness by preserving and using existing, as well as forming and implementing new competitive advantages, which determines the positioning of the territory. Given this, the relevant strategies for developing territories and cities should ensure the convergence of management and economic activities of the subjects of the territorial system, effective management of production infrastructure, and provision of consumer needs. In the face of global environmental challenges, marketing territories can contribute to promoting environmentally friendly technologies and practices. This helps to attract investments in sustainable projects and increase the population's environmental awareness.
Radio Broadcasting in Rural Areas during the Second Half of the 1940s – the First Half of the 1950s (Based on the Materials of Sumy Region)
Authors: Korol Vitaliy
Published: July 2024

The article is devoted to the analysis of the characteristic features and peculiarities of rural radiofication and the functioning of radio broadcasting in rural areas of Sumy Oblast during the first post-war decade (1945-1955).
The circumstances of the spread of the radio network in the Sumy region are highlighted. It was revealed that the radiofication of rural areas was carried out lagging behind the similar process in cities and became comprehensive only in the first half of the 1950s. To a large extent, it was carried out by the collective farms themselves, whose radio nodes became part of the general radio broadcasting network. The regional broadcast was largely aimed at a rural audience, and the programs were dominated by speeches and stories on agricultural topics. The obsolescence and technical imperfection of the equipment, as well as the lack and insufficient qualification of personnel, negatively affected the efficiency of the regional radio.
The research is based on materials from the State Archive of Sumy Region and information from the regional newspaper issued during the 2nd half of the 1940s – the 1st half of the 1950s.
Первичная иммунная тромбоцитопения у детей: анализ эффективности лечения в соответствии с Национальными клиническими рекомендациями
Authors: Рыков Максим Юрьевич , Рыков М. Ю.
Published: July 2024

AIM. To assess the treatment efficacy in children with primary immune thrombocytopenia (ITP).
MATERIALS & METHODS. The analysis included 13 ITP patients (6 girls and 7 boys) with the mean age of 9.5 years (range 4–17 years) admitted to the Pediatric Hospital of the Tver region in 2023. Primary ITP was preceded by infection in 9 (69 %) children and by measles vaccination in 1 (8 %) child. The mean time after infection onset was 11 days (range 5–15 days). As assessed by the pediatric bleeding score, hemorrhage severity was of grade 1 in 4 (31 %), grade 2 in 3 (23 %), and grade 3 in 6 (46 %) patients. Hematuria was identified in 3 (23 %) patients, and menorrhagia was detected in 1 (8 %) patient. The mean platelet count by the time of admission to the hospital was 9 × 109/L (range 1–86 × 109/L).
RESULTS. The incidence of newly diagnosed primary ITP appeared to be 5.7 cases per 100,000 children in the Tver region. Treatment started with 20 mg/m2 IV dexamethasone on Day 1–3 in 7 (54 %) children, 1000 mg/kg IVIG on Day 1 in 2 (15 %) children, and 2 mg/kg prednisolone per os during 21 days in 1 (8 %) child. Dynamic follow-up was conducted on 3 (23 %) patients. In 2 (17 %) patients, steroid therapy had to be discontinued and IVIG was started due to increased hemorrhage and/or developing corticosteroid complications. Partial and complete responses were achieved in 8 (62 %) and 4 (31 %) patients, respectively. In 1 (8 %) case, the response was not assessed. The overall response rate to the first-line therapy was 92 %. The mean platelet count at hospital discharge was 107 × 109/L (range 20–307 × 109/L), and the mean number of hospital days was 10.2 (range 2–23). The platelet count decrease to grade 1/2 was observed in 3 (23 %) children during the first 6 weeks followed by spontaneous complete recovery during the subsequent 1–2 weeks.
CONCLUSION. The treatment of pediatric primary ITP in full compliance with the National Clinical Guidelines showed very high efficacy in terms of achieving primary response and preventing relapses. The relatively high overall IVIG use rate was accounted for by a slow response to corticosteroids, increased hemorrhage, risk factors, and parental concern.
Media space in conditions of nonlinear complication of social reality
Authors: Skachilova E. A.
Published: July 2024

System analysis as a paradigm allows us to study the media space as a subsystem with flexible connections internally and externally with other subsystems. Using a systematic approach, the author proposes to consider the transformation of the media space as a selfdeveloping process that occurs under the influence of digitalization, which is a factor in the rate of change. The author proposes to consider the media space as a social process with its inherent: (1) logical subject; (2) temporary relationships; (3) spatial relationships; (4) direction. As a result of the article, the author agrees with the opinion of researchers that under the influence of technological development of society, the media space has been transformed into the media sphere.
PROJECT BASED LEARNING WITH STEM APPROACH TO ALTERNATIVE ENERGY MATERIAL AS EFFECTIVE LEARNING TO IMPROVE PROBLEM SOLVING SKILLS
Authors: Roslina Roslina , Liliawati Winny , Hasanah Lilik
Published: July 2024

This study aims to determine the effectiveness of STEM-PjBL learning in improving students' problem-solving abilities in alternative energy materials. This research was conducted in one of the high schools in the city of Bandung. Samples were obtained by rational sampling of 35 students in class X MIPA I (experimental class) and 35 students in class X MIPA II (control class). The method used is a quasi-experimental design with a non-equivalent control group design. Data collection technique is a description test in the form of pre-test and post-test. Based on data analysis it is known that the use of STEM-PjBL can improve students' problem solving skills (N-Gain = 0.65) in the experimental class compared to the control class (N)-Gain = 0.44). The t-test results with SPSS 22 with Sig. (2-value) less than 0.05 indicates that there is a significant difference in the increase in the problem solving ability of students in the experimental class and the control class. Based on these results, learning has a positive impact on students' problem solving abilities. STEM-PjBL learning can be used as an alternative teaching strategy at various school levels.
Smart Apps Creator: Mathematics Scientific-Based Interactive Multimedia for Improving Acceleration Program Students’ HOTS
Authors: Qur’ani Fauziyah Nafisatul , Wulan Eka Resti , Syamsudin Ahmad
Published: July 2024

It was found that the use of learning media in the form of modules and learning videos is not interactive so they make students feel bored and less active when the learning process. It causes students to have difficulty solving HOTS-type questions. Thus, this study aims to develop scientific-based interactive mathematics multimedia to increase the HOTS of accelerated students on similarity and congruence materials with the help of the Smart Apps Creator. This study uses the RD method with the ADDIE model. The data analysis technique in this research is descriptive and uses paired samples t-test. The instruments are a questionnaire for material and media expert validation, a questionnaire for teacher and student responses, a pre-test, and a post-test.  The results of the validation of the material expert obtained the "Eligible" interpretation, the media expert obtained the "Very Eligible" interpretation obtained the "Eligible" interpretation. The results of the teacher's response, the student's response to the limited test, and the group test obtained the interpretation of "Very Eligible". By using the paired samples t-test, show a significance level of 0.000 was obtained where 0.000 0.05, which means that there was an increase in the HOTS of class VIII-J students after using the developed interactive mathematics multimedia. Based on the results obtained, the interactive mathematics multimedia developed can be used as a learning media for students.
Implementasi Model Pembelajaran TPSW (Think Pair Share Write) Dalam Pembelajaran IPA SMP Untuk Meningkatkan Kemampuan Berpikir Kritis Siswa Pada Materi Bumi dan Tata Surya
Authors: Astari Fradita Nindi
Published: July 2024

Kemampuan berpikir kritis termasuk dalam kategori berpikir tingkat tinggi yang perlu ditingkatkan dalam upaya pemecahan masalah sebagai salah satu kecakapan hidup (life skill). Kemampuan berpikir kritis dapat ditingkatkan melalui pembelajaran IPA dengan menggunakan model pembelajaran yang bersifat student center. Salah satu model pembelajaran yang bersifat student center adalah model TPSW. Model tersebut dirancang untuk meningkatkan peran siswa dalam pembelajaran dengan sintaks pembelajaran yang terdiri atas think (berpikir), pair (diskusi), share (berbagi), dan write (menulis). Penelitian ini bertujuan untuk mengetahui kemampuan model TPSW untuk meningkatkan kemampuan berpikir kritis siswa pada materi Bumi dan Tata Surya. Metode yang digunakan dalam peelitian ini adalah metode quasy experimen dengan desain non equivalent control group design. Hasil uji hipotesis dengan uji independent sample t-test mendapatkan nilai signifikansi sebesar 0,001, artinya terdapat perbedaan signifikan kemampuan berpikir kritis siswa antara kelas eksperimen dan kelas kontrol. Pada kelas eksperimen mendapatkan nilai N-Gain sebesar 0,73 termasuk kategori tinggi, sedangkan pada kelas kontrol mendapatkan nilai N-Gain sebesar 0,44 termasuk kategori sedang. Berdasarkan hasil tersebut dapat disimpulkan bahwa model pembelajaran TPSW mampu meningkatkan kemampuan berpikir kritis siswa pada materi Bumi dan Tata Surya.
Promoting Peri-urban Agriculture: A Remedy for Climate Change. Case of the Town of Delly Brahim in Algiers
Authors: Bacha Nesrine , Hadj Mohamed Naima
Published: July 2024

The issue of promoting peri-urban agriculture seems to be an important one in response tothe various current concerns about the future of cities in the face of climate change. At firstsight, these peri-urban agricultural areas, which in the past provided shelter for cities, arenow threatened by urban sprawl and are increasingly losing their function of protectingurban areas from climatic hazards. This question is a priority when considering the future ofagriculture in today's urban sprawl. We are therefore raising a number of concerns linked tomultiple issues: the trampling of green space, agricultural environmental sustainability,territorial impacts and the difficulty of managing rural and urban populations.Around these questions, this research is structured to provide theoretical and practicalknowledge that will enable us to place peri-urban agriculture at the heart of urban concerns,in a perspective of reaction to climate change. The interest of this work is reinforced in thecase of peri-urban areas surrounding the capital of Algiers, such as the commune of DelyBrahim: a concrete example of a territory concerned by the subject. On the one hand, thisperiphery boasts important agricultural production zones in close geographical proximity tothe capital Algiers, and on the other, it plays a fundamental economic, environmental andlandscape role in relation to its region. Between its dense urban residential areas, itsagricultural areas threatened by urban sprawl and its natural areas rich in resources, thisterritory is today confronted with numerous environmental vulnerabilities. The aim istherefore to examine the issue of preserving the agricultural sector and its role in mitigatingclimate change.
Comparación de la extensión de la muda posjuvenil en el ruiseñor pechiazul ibérico (Luscinia svecica azuricollis) con dos subespecies próximas geográficamente
Authors: Alonso Daniel , Barbarin Juan M. , Fernández-Eslava Blanca , Arizaga Juan
Published: July 2024

El ruiseñor pechiazul ibérico Luscinia svecica azuricollis es una subespecie que cría en zonas de montaña del noroeste de la Península Ibérica y que cuenta con una reducida ventana temporal para mudar entre la cría y la migración. En este artículo se describe la extensión de la muda posjuvenil del ruiseñor pechiazul ibérico a partir de ejemplares capturados en el Sistema Central (concretamente, en Sierra de Béjar) y testamos si difiere de la de las dos subespecies más próximas geográficamente (L. s. namnetum y L. s. cyanecula) que, teóricamente, disponen de un periodo de tiempo mayor para mudar al criar en zonas bajas. La extensión media de la muda posjuvenil del pechiazul ibérico incluye 3,8 grandes cobertoras y 0,10 terciarias. Sólo un 5% de las aves muda las terciarias y menos de un 5% muda la cobertora carpal, álula o rectrices. La extensión de la muda no varió significativamente entre sexos pero sí entre subespecies, siendo el número de grandes cobertoras mudadas en L. s. azuricollis similar a L. s. cyanecula, pero significativamente inferior a L. s. namnetum. En consecuencia, la variabilidad intraespecífica en la extensión de la muda posjuvenil del pechiazul podría reflejar limitaciones de tiempo y recursos provocadas por la latitud y/o altitud de cría. Así, los efectos de la altitud sobre la muda serían equivalentes a los que se dan en poblaciones de latitudes altas. Estos resultados son relevantes al considerar las implicaciones que esto podría acarrear en un contexto de cambio climático.
ANALISIS DAYA DUKUNG LAHAN PERTANIAN SEBAGAI UPAYA MENDUKUNG KETERSEDIAAN PANGAN DI KAWASAN SLEMAN TENGAH
Authors: Sarastika Tiara , Anggrasari Herdiana
Published: July 2024

The Central Sleman area is a peri-urban area directly adjacent to Yogyakarta, making land conversion increasingly prevalent and unavoidable. In comparison, the Central Sleman area has a role as one of the food barns due to fertile land conditions and is suitable for agriculture. Intensive conversion of agricultural land to non-agricultural land will result in the loss of productive agricultural land, resulting in decreased rice production. This will result in high rice imports and reduced employment in the agricultural sector. This research aims to analyze the development of agricultural land use, its projection, and the carrying capacity of agricultural land in the Central Sleman Region. The calculation of the agricultural land carrying capacity is based on Odum, Howard, and Issard. The results showed that the Central Sleman Area has a decreasing rate of change in the agricultural land area every year in Kapanewon. The calculation results of agricultural land's carrying capacity show that in 2020, land's carrying capacity exceeded 0.83. The results of the projection calculation in 2024 found that 4 out of 5 Kapanewon in the Central Sleman Region cannot achieve food self-sufficiency. Therefore, efforts are needed to increase the carrying capacity of agricultural land, mainly through increasing the productivity of food crops and protecting agricultural land from land conversion.
KARAKTER SPASIAL DAN TEMPORAL CURAH HUJAN BULANAN KABUPATEN JEMBER BERDASARKAN DATA CHIRPS
Authors: Purnamasari Ika , Abdillah Moc. Reza Wahyu , Wijayanto Yagus , Saputra Tri Wahyu , Ristiyana Suci , Budiman Subhan Arif
Published: July 2024

Jember Regency is one of the national food storage areas. One of the most important resources in cultivating food crops is water which comes from rainfall. The existence of rainfall data is very important in planning and implementing agricultural activities. Limited rainfall data is the main problem for agricultural planning. One solution to this problem is to utilize rainfall data from CHIRPS (Climate Hazards Group Infrared Precipitation Station). The use of CHIRPS data is still biased data, so bias correction is needed to measure the level of accuracy of CHIRPS data for estimating rainfall in an area. Bias correction is carried out using two methods, namely multiple linear regression and power regression. The correction results show that the multiple linear regression method is able to produce monthly rainfall that is close to observations with an RMSE value of 3.9 and a coefficient of determination of 0.99. Temporally, the peak of the rainy season in Jember Regency occurs in December while the dry season is in August. In the rainy season (December-January and February) Jember Regency's rainfall is around 300-500 mm/month and in the dry season (June-July-August) it is in the range of 50-200 mm/month. Spatially, the northern part of Jember, especially Sumberbaru, Bangsalsari and Tanggul subdistricts, is wetter than the Jember Regency area as a whole. The southern part of Jember, especially those close to the coast, has lower rainfall than other regions. In the dry season, rainfall in this region is less than 20 mm/month.