bluuebunny/crossref_metadata_2025 huggingface dataset:
Rice Identification and Spatio-Temporal Changes Based on Sentinel-1 Time Series in Leizhou City, Guangdong Province, China
Authors: Zhong Kaiwen , Zuo Jian , Xu Jianhui
Published: December 2024

Due to the limited availability of high-quality optical images during the rice growth period in the Lingnan region of China, effectively monitoring the rice planting situation has been a challenge. In this study, we utilized multi-temporal Sentinel-1 data to develop a method for rapidly extracting the range of rice fields using a threshold segmentation approach and employed a U-Net deep learning model to delineate the distribution of rice fields. Spatio-temporal changes in rice distribution in Leizhou City, Guangdong Province, China, from 2017 to 2021 were analyzed. The results revealed that by analyzing SAR-intensive time series data, we were able to determine the backscattering coefficient of typical crops in Leizhou and use the threshold segmentation method to identify rice labels in SAR-intensive time series images. Furthermore, we extracted the distribution range of early and late rice in Leizhou City from 2017 to 2021 using a U-Net model with a minimum relative error accuracy of 3.56%. Our analysis indicated an increasing trend in both overall rice planting area and early rice planting area, accounting for 44.74% of early rice and over 50% of late rice planting area in 2021. Double-cropping rice cultivation was predominantly concentrated in the Nandu River basin, while single-cropping areas were primarily distributed along rivers and irrigation facilities. Examination of the traditional double-cropping areas in Fucheng Town from 2017 to 2021 demonstrated that over 86.94% had at least one instance of double cropping while more than 74% had at least four instances, which suggested that there is high continuity and stability within the pattern of rice cultivation practices observed throughout Leizhou City.
EM-AUC: A Novel Algorithm for Evaluating Anomaly Based Network Intrusion Detection Systems
Authors: Bai Kevin Z. , Fossaceca John M.
Published: December 2024

Effective network intrusion detection using anomaly scores from unsupervised machine learning models depends on the performance of the models. Although unsupervised models do not require labels during the training and testing phases, the assessment of their performance metrics during the evaluation phase still requires comparing anomaly scores against labels. In real-world scenarios, the absence of labels in massive network datasets makes it infeasible to calculate performance metrics. Therefore, it is valuable to develop an algorithm that calculates robust performance metrics without using labels. In this paper, we propose a novel algorithm, Expectation Maximization-Area Under the Curve (EM-AUC), to derive the Area Under the ROC Curve (AUC-ROC) and the Area Under the Precision-Recall Curve (AUC-PR) by treating the unavailable labels as missing data and replacing them through their posterior probabilities. This algorithm was applied to two network intrusion datasets, yielding robust results. To the best of our knowledge, this is the first time AUC-ROC and AUC-PR, derived without labels, have been used to evaluate network intrusion detection systems. The EM-AUC algorithm enables model training, testing, and performance evaluation to proceed without comprehensive labels, offering a cost-effective and scalable solution for selecting the most effective models for network intrusion detection.
MultiPhys: Heterogeneous Fusion of Mamba and Transformer for Video-Based Multi-Task Physiological Measurement
Authors: Huo Chaoyang , Yin Pengbo , Fu Bo
Published: December 2024

Due to its non-contact characteristics, remote photoplethysmography (rPPG) has attracted widespread attention in recent years, and has been widely applied for remote physiological measurements. However, most of the existing rPPG models are unable to estimate multiple physiological signals simultaneously, and the performance of the limited available multi-task models is also restricted due to their single-model architectures. To address the above problems, this study proposes MultiPhys, adopting a heterogeneous network fusion approach for its development. Specifically, a Convolutional Neural Network (CNN) is used to quickly extract local features in the early stage, a transformer captures global context and long-distance dependencies, and Mamba is used to compensate for the transformer’s deficiencies, reducing the computational complexity and improving the accuracy of the model. Additionally, a gate is utilized for feature selection, which classifies the features of different physiological indicators. Finally, physiological indicators are estimated after passing features to each task-related head. Experiments on three datasets show that MultiPhys has superior performance in handling multiple tasks. The results of cross-dataset and hyper-parameter sensitivity tests also verify its generalization ability and robustness, respectively. MultiPhys can be considered as an effective solution for remote physiological estimation, thus promoting the development of this field.
Data-Driven Asset Management for Highway Sign Support Systems: A Case Study of Prioritizing Repair and Replacement Decisions
Authors: Chae Myungjin , Voghell Lucas , Salama Talat , Choi Jiyong
Published: December 2024

Road sign support systems are not usually well managed because bridges and pavement have budget and maintenance priority while the sign boards and sign supports are considered as miscellaneous items. The authors of this paper developed a simple deterioration prediction model for sign support systems. Asset risk analysis was performed to develop the repair priority list. The data were collected from the Connecticut Department of Transportation (CTDOT) asset management database. There are many advanced and complicated deterioration prediction models; however, authors adopted the Weibull function for the deterioration prediction curve because it is a proven method used in reliability theory and a simple probability function that fits for simple structures like sign supports. Asset risks and repair priority lists were developed using the probability of failure and commuter impacts that are functions of ages, structure types and materials, number of traffic, population, etc. This paper shows the complete cycle of infrastructure asset management, starting from asset condition database management, deterioration prediction modeling, risk analysis, and repair priority decision-making.
Dynamic Evolution and Trade-Off/Synergistic Effects of Ecosystem Services in the Northeast Tiger and Leopard National Park from 2000 to 2022
Authors: Wan Zhihan , Li Hongxun
Published: December 2024

To explore the dynamic evolution of ecosystem services in the last 22 years, and to measure the trade-off and synergy between ecosystem services, it is of great significance to realize the ecological protection and sustainable development of the Northeast Tiger and Leopard National Park (NTLNP). Therefore, based on land use changes, soil and meteorological data, this research analyzed the changes of land use in NTLNP from 2000 to 2022. The habitat quality (HQ), carbon storage (CS), water conservation (WC) and soil conservation (SC) in the NTLNP were evaluated by the InVEST model, and the synergy/trade-off among different ecosystem services were analyzed quantitatively. The results are as follows: (1) Land use in NTLNP changed from broad-leaved forest to mixed and coniferous forest from 2000 to 2022. (2) Average HQ increased over time, while CS increased in coniferous and mixed forest areas, but decreased in cropland and grassland areas. WC decreased in the central and southern regions. SC decreased in coniferous forests in the southern part of the study area. (3) HQ showed a trade-off relationship with CS, WC, and SC of 50%, mainly distributed in the southwest of NTLNP at higher elevations. CS showed synergistic correlations with WC and SC, mainly distributed in grassland and broad-leaved forest areas in the southwest; areas showing trade-off relationships are mainly distributed in cropland and broad-leaved forest areas. WC and SC showed a synergistic correlation in 90.2% of the areas. In the past 22 years, ecosystem service capacity of NTLNP is increasing; in the future, we should pay more attention to the optimization of NTLNP function zoning, and gradually explore and improve the national park management system, to balance the relationship between the protection of ecological resources and the development of human society and economy.
Significant Driving Factors in the Evolution of the COVID-19 Epidemic
Authors: Sun Jingtao , Chen Xiuxiu , Zhang Lijun
Published: December 2024

The progression of the COVID-19 pandemic has demonstrated significant oscillatory characteristics, underscoring the importance of investigating the impact of driving factors on its evolution. This study included an in-depth analysis of the influence of various driving factors on the pandemic’s fluctuations, identifying key elements, to enhance the comprehension of transmission mechanisms and improve scientific precision in formulating mitigation strategies. The experimental outcomes indicate that the Geographically and Temporally Neural Network Weighted Regression (GTNNWR) model achieved commendable accuracy with minimal error in forecasting the number of infected individuals. Leveraging the results from the GTNNWR model, the research meticulously examines the temporal and spatial correlations between the driving factors and the pandemic, delineated the spatiotemporal distribution patterns of each factor’s influence, and quantified their significance. This study reveals the substantial impact of vaccines, masks, and social distancing measures across different regions and periods, with their effects on the number of affected individuals being 2 to 10 times more pronounced than other driving factors. These findings contribute to a deeper understanding of the spatiotemporal transmission dynamics and the influence of driving factors in the COVID-19 pandemic, offering critical decision-making support for control and prevention efforts.
Energy Savings in University Buildings: The Potential Role of Smart Monitoring and IoT Technologies
Authors: Franco Alessandro , Crisostomi Emanuele , Leccese Francesco , Mugnani Antonio , Suin Stefano
Published: December 2024

Environmental monitoring systems integrated with IoT networks have rapidly evolved, enabling the collection of vast amounts of data accessible to facility managers and authorized users via smartphone apps. This paper presents a system developed to monitor environmental parameters across multiple buildings at the University of Pisa, with a focus on its potential for improving energy efficiency. Efficient energy management has become increasingly important, especially following the COVID-19 pandemic, which introduced legal requirements for mechanical ventilation. These measures have significantly increased energy consumption during both winter and summer seasons. Our system, built using low-cost components and a secure IoT network, demonstrates how CO2 monitoring and smart controls can reduce energy waste in buildings. In a case study conducted on selected buildings, the system achieved up to 34% energy savings. The paper highlights both the benefits and the limitations of current technology in this context, emphasizing the role of IoT in enhancing sustainability while ensuring safety and security within academic institutions.
Assessing the Effects of Land Consolidation: Farmers’ Perspective
Authors: Tunali Safiye Pinar
Published: December 2024

Land consolidation is a pivotal element in rural settlement planning globally and specifically in Turkey. Evaluating the efficacy of land consolidation initiatives and incorporating diverse approaches in distinct countries and regions are imperative. This assessment becomes particularly crucial in charting the course for future land consolidation endeavors, wherein an understanding of farmers’ knowledge levels and perspectives significantly enhances success rates. This research focuses on evaluating land consolidation studies conducted in 2011 in three settlements—Alhan, Çulhan, and Dereköy—located in the Yenipazar district of Aydın province, Turkey. Data were collected using face-to-face interviews with 296 enterprise owners chosen through the stratified random sampling method across the three villages. The analysis utilized CHAID (Chi-squared Automatic Interaction Detection) analysis, a decision tree model, to comprehensively evaluate the interview results. The findings derived from this study offer crucial insights into the regional farmers’ perspectives on land consolidation projects, contributing valuable data to the academic discourse on rural development and settlement planning. It has been revealed that farmers’ education level, land holdings, and age have significant effects on their views on land consolidation projects. It has also been determined that the positive perspectives of farmers in the region on land consolidation projects continue to be positive after the project is completed. Moreover, more than half of the farmers who participated in the survey reported that their living standards have changed positively.
Spontaneous Symmetry Breaking in Group Decision-Making with Complex Polytopic Fuzzy System
Authors: Bilal Muhammad
Published: December 2024

Beginning with a symmetrical multiple-choice individual as the foundation, I develop a sociophysics model of decision-making. By simplifying the range of choices, the framework incorporates the complex Polytopic fuzzy model to capture nuanced dynamics. This approach enables a deeper analysis of decision-making processes within social systems. Decision-making problems commonly involve uncertainty and complexity, posing considerable challenges for organizations and individuals. Due to their structure and variable parameters, the Einstein t-norm (ETN) and t-conorm (ETCN) offer more elasticity than the algebraic t-norm (ATN) and t-conorm (ATCN). This flexibility makes them commonly effective and valuable in fuzzy multi-attribute decision-making (MADM) problems, where nuanced valuations are critical. Their application enhances the ability to model and analyze vagueness and uncertain information, eventually leading to more informed decision outcomes. The complex Polytopic fuzzy set (CPFS) improves the Polytopic fuzzy set (PFS) and complex fuzzy set (CPFS), allowing for a more precise valuation of attributes in complex (MADM) problems. This study aims to propose a MADM scheme using the ETN and ETCN within the framework of a complex Polytopic fuzzy environment. It begins by presenting the Einstein product and sum operations for complex Polytopic fuzzy numbers (CPFNs) and explores their necessary properties. This method enhances the accuracy and applicability of DM processes in ambiguous environments. Subsequently, three complex Polytopic fuzzy operators with known weighted vectors are developed: the complex Polytopic fuzzy Einstein weighted averaging (CPFEWA) operator, complex Polytopic fuzzy Einstein ordered weighted averaging (CPFEOWA) operator, complex Polytopic fuzzy Einstein hybrid averaging (CPFEHA) operator. Moreover, some substantial properties of the operators are studied. Finally, a method based on novel operators is planned, and a numerical example is provided to prove the practicality and effectiveness of the new proposed methods.
The Primary Factors Affecting the Efficiency of Two-Chamber Electrochemical Systems in Treating Phosphate-Containing Wastewater
Authors: Chen Libin , Han Meng , Wan Sizhuo , Wang Sifan , Wang Ru
Published: December 2024

The electrochemical crystallization method for recovering phosphorus resources from industrial wastewater has gained widespread attention due to its high efficiency and low cost. However, the strong corrosiveness of the industrial wastewater can affect the components of the electrochemical system, decreasing its performance. This study examines the stability of the two-chamber electrochemical (TCE) system and the service life of its components while recovering phosphate from the chemical polishing (CP) wastewater. An investigation of the phosphate removal rate and power output through the replacement of the system’s components was performed. The results indicated that the TCE system could effectively treat the CP wastewater, achieving a removal rate of up to 99% for phosphate and aluminum ions with a maximum power output of 1.09 mW. However, the strong corrosiveness of the CP wastewater decreased the performance of the TCE system, requiring component replacement every 20 days. The yield of ferrous ions was not the primary limiting factor for phosphate removal due to the effects of both electrochemistry and self-corrosion, but the excessive ferrous ions influenced the solution pH. The solution pH controlled the Fe(II)/P molar ratio in step 1, which subsequently influenced the purity of the vivianite in step 2. The closed circuit promoted an increase in the pH of wastewater. This method not only recovers phosphorus resources but also generates electrical energy, offering a new approach for resource recovery in industrial wastewater, aligning with the national sustainable development goals.
Predicting the Spatiotemporal Evolution Characteristics of Future Agricultural Water Demand in the Yellow River Basin Under Climate-Change Conditions
Authors: Xin Jianguo , Xin Yue , Wu Huiming , Zhou Shuai
Published: December 2024

The Yellow River Basin is an important grain-production base in China, playing a crucial role in the country’s agricultural production and overall national economy and social development. However, due to the impact of climate change, China’s food security is facing challenges. Therefore, this article takes the Yellow River Basin as an example to reveal the temporal and spatial evolution patterns of the main crop yields in the basin. Based on a coupled statistical downscaling model (SDSM) and ten General Circulation Models (GCMs) from CMIP5, it estimates the future temporal and spatial evolution characteristics of rainfall and evaporation in the basin. Furthermore, a distributed crop-growth model (AquaCrop) is constructed to reveal the temporal and spatial evolution patterns of agricultural irrigation water requirements from a future perspective, clarifying the impact of multi-source uncertainty on the prediction uncertainty of agricultural irrigation water needs. The results indicate that the ten climate models constructed in this study can be effectively applied to the Yellow River Basin, and their ability to capture light-rain events is superior to that of moderate- and heavy-rain events. The simulation accuracy of the AquaCrop model significantly improves with an increase in precipitation frequency. The agricultural irrigation water demand in the middle and upper reaches of the basin is greater than that in the lower reaches, and the uncertainties from GCMs and RCPs have a significant impact on the uncertainty of agricultural irrigation water demand. The research results provide important references for formulating agricultural development plans for irrigation areas under climate-change conditions and for developing response measures for irrigation areas to cope with climate change.
The Response of Small Watershed Storm Floods to Climate Change
Authors: Qian Jing-Lin , Wu Yun-Xin , Zhang Qi-Ting
Published: December 2024

This study utilizes historical monitoring data from the Xu Fan small watershed spanning 1962 to 2021 and employs the K-means clustering algorithm to classify extreme rainfall events into three distinct categories: short-duration high-intensity rainfall, sustained moderate-intensity rainfall, and long-duration heavy rainfall. Through the application of the Random Forest model, key factors influencing flood characteristics are identified, including total rainfall, maximum rainfall intensity, the timing of maximum intensity, and rainfall duration. The comparative analysis of data before and after 1990 highlights that climate change has led to increased maximum rainfall intensity, reduced rainfall duration, and shifts in the temporal distribution of rainfall, thereby exerting a significant influence on the flood generation process.
Antimicrobial Resistance of Waste Water Microbiome in an Urban Waste Water Treatment Plant
Authors: Tsvetanova Zvezdimira , Boshnakov Rosen
Published: December 2024

Waste water treatment plants (WWTP) are considered as a hotspot for the acquisition and dissemination of antimicrobial resistance (AMR). The present study aimed to assess the AMR rate of the waste water microbiome in a selected WWTP and the treatment efficiency. Culture-dependent and PCR methods were used in the AMR study of raw and treated waste water (TWW) microbiomes. The population proportion of heterotrophic plate count (HPC) bacteria resistant to five antibiotic classes was assessed, as well as the AMR phenotype of a total of 238 Enterobacteriaceae and 259 Enterococcus spp. strains. Waste water treatment increased tetracycline- and ciprofloxacin-resistant bacteria by 67% and 61%, as well as the incidence of Enterobacteriaceae resistant to ciprofloxacin, co-trimoxazole, and cephalosporins. Multiple resistance increased, and 8.8% of TWW isolates exhibited an ESBL-producing phenotype, most often encoded by blaTEM and blaCTX-M genes. The most common resistance among Enterococcus spp. was to erythromycin and tetracycline, and despite the increased AMR rate among TWW isolates, only the increase in tetracycline resistance and the decrease in high-level gentamicin resistance were significant. All parameters analysed demonstrated limited removal of resistant HPC or faecal indicator bacteria in the studied WWTP and a positive selective effect towards some of them, most often to ciprofloxacin.
Utilizing Cement Kiln Dust as an Efficient Adsorbent for Heavy Metal Removal in Wastewater Treatment
Authors: Elmaadawy Khaled , Hamed Mohamed R. , Al-Hazmi Hussein , Hassan Gamal K.
Published: December 2024

Cement kiln dust (CKD), a by-product of cement manufacturing, has been largely underutilized despite its potential as an eco-friendly adsorbent for wastewater treatment. This study addresses the knowledge gap regarding CKD’s effectiveness in removing heavy metals from wastewater residuals. A comprehensive experimental program was conducted to optimize key parameters such as the pH (6–9), contact time, sorbent dosage, and initial heavy metal concentrations using a batch equilibrium technique. The results demonstrated that CKD can effectively remove heavy metals, achieving removal efficiencies of 98% for Pb, 94% for Zn, 92% for Cu, and 90% for Cd within just 4 h of treatment. Importantly, CKD not only provided high adsorption efficiency but also resulted in a significant reduction in the formation of hazardous solid sludge, a major concern in traditional wastewater treatment methods. The adsorption data closely matched the Langmuir isotherm model, further validating CKD’s potential as a sustainable, cost-effective solution for reducing heavy metal contamination in wastewater while minimizing the environmental impact.
Comprehensive Assessment of Environmental Behavior of Mine Tailings for Sustainable Waste Management and Mitigation of Pollution Risks
Authors: Koucham M’hamed , Khalil Abdessamad , Mouhagir Lahcen , Zouhri Lahcen , El Adnani Mariam
Published: December 2024

The substantial volumes of tailings produced during ore beneficiation present significant challenges for sustainable management due to potential public health hazards, particularly from metal leaching. The risk associated with tailings varies greatly depending on their mineralogical composition and climatic conditions. If tailings are classified as a non-hazardous by-product, they may serve as secondary raw materials, offering a sustainable alternative to the reliance on non-renewable primary resources. In this study, the recycling feasibility of tailings from an active copper mine was assessed through mineralogical characterization, environmental tests (e.g., static, kinetic, and leaching tests), and geochemical modeling. This multi-faceted approach aimed to predict the geochemical behavior and reactivity of tailings under varying conditions. Results from the static tests indicated that the tailings were non-acid generating. Weathering cell tests revealed circumneutral pH conditions (6.5–7.8), low sulfide oxidation rates, and low instantaneous metal concentrations (<1 mg/L), except for copper (0.6–3.5 mg/L) and iron (0.4–1.4 mg/L). These conditions are attributed to the low abundance of sulfide minerals, such as pyrite, chalcopyrite, bornite, covellite (<0.1 wt.%), and chalcocite (0.2 wt.%), which are effectively encapsulated within gangue minerals. Additionally, the presence of neutralizing minerals, specifically dolomite (27.4 wt.%) and calcite (2.4 wt.%), further stabilizes pH and promotes metal sequestration in secondary mineral forms. The Toxicity Characteristic Leaching Procedure (TCLP) test confirmed low leachability, classifying the tailings as non-hazardous.
Functional Electrical Stimulation Combined with Pharmacotherapy for Neurorehabilitation in Patients with Cerebral Ischemia and Pain
Authors:   Bashkir State Medical University, Goldyrev Ye.O. ,   Clinical Hospital ‘Russian Railroads Medicine’, Ufa, Akhmadeeva L.R. , Kharisova E.M.
Published: December 2024

Functional electrical stimulation (FES) is a promising method of management that allows restoring motor functions in patients with various neurological diseases. In recent years, FES is widely used in clinical practice due to its effectiveness and safety, as evidenced by the growing number of publications in peer-reviewed scientific journals (PubMed: functional electrical stimulation and clinical application; 1403 results over 10 years). The paper discusses the results of modern international studies indicating that FES can be recommended for use in the complex rehabilitation of patients with cerebral ischemic lesions and pain syndromes along with pharmacotherapy, improving the quality of life and functional outcomes
Hormonal Contraception: the View of a Therapist and a Hematologist
Authors:   Compass of Health LLC, Clinic 12, Moscow, Sharoyan Zh.V. , Melkova K.N. , Zolotova Ye.N. ,   I.M. Sechenov First Moscow State Medical University,   A.I. Burnazyan Federal Medical Biophysical Center,   N.I. Pirogov Russian National Research Medical University,   Russian Children's Clinical Hospital – a Branch of N.I. Pirogov Russian National Research Medical University, Frolov G.P. , Sibirskaya Ye.V. ,   Russian University of Medicine
Published: December 2024

Hormonal contraceptives (GC) are among the most commonly prescribed drugs. According to a 2019 UN report, they are used by over 150 million women worldwide. GC has become widespread not only due to the emergence of new, more convenient, including prolonged, dosage forms, but also due to the minimization of ‘classic’ side effects. Nevertheless, a number of undesirable phenomena associated with the use of GC remain underestimated. The article highlights one of the most frequent and urgent problems when prescribing HCV to women of reproductive age – vitamin deficiency of group B.
Features of the Emotional and Personal Sphere in Adolescent Girls with Menstrual Disorders
Authors:   N.I. Pirogov Russian National Research Medical University, Savitskaya K.Ye. , Sibirskaya Ye.V. , Karachentsova I.V. ,   Russian Children's Clinical Hospital – a branch of the N.I. Pirogov Russian National Research Medical University,   Russian University of Medicine, Veprentsova S.Yu.
Published: December 2024

Menstrual irregularities are the main reason for seeking advice from gynecologists all over the world. Menstruation-related problems affect 75% of teenage girls. The presence of a somatic disease has a significant impact on the personality and emotional sphere, and in cases where the disease occurs in an already difficult adolescence, there are serious threats of psychopathological disorders and disorders of personal development. The etiology of menstrual disorders can be psychogenic or hormonal. The identification of the correct etiology makes it possible to select adequate therapies. The main pathogenetic axis of pathology is formed by the circular relationship of mental and somatic factors. An analysis of the literature data allows us to conclude that such patients have increased anxiety, interpersonal sensitivity, mood instability, as well as symptoms of depression and distortion in the structure of identity. A multidisciplinary approach should include a collaborative process between gynecologists, clinical psychologists and psychiatrists, from the moment of diagnosis and throughout treatment.
Reproductive Health of Adolescent Girls Born to Mothers with Preeclampsia
Authors:   N.I. Pirogov Russian National Research Medical University, Panasenko T.S. ,   Russian Children’s Clinical Hospital – a Branch of N.I. Pirogov Russian National Research Medical University,   Russian University of Medicine, Sibirskaya Ye.V. , Romashova A.A. ,   National Medical Research Center for Children’s Health
Published: December 2024

This review presents data on the course of puberty in adolescent girls born to mothers with preeclampsia. The scientific literature devoted to their sexual development, hormonal status, features of menstrual function and reproductive system disorders was analyzed. The literature indicates that there are differences in the course of puberty in this patient group, which may lead to future loss of fertility and necessitate the development of a series of therapeutic and preventive measures.
Myhre Syndrome in the Practice of an Obstetrician-Gynecologist: a Clinical Case
Authors:   Russian University of Medicine, Sibirskaya Ye.V. , Karachentsova I.V. , Kirillova Yu.A. , Melenchuk I.A. , Pavlova Ye.V. ,   Russian Children’s Clinical Hospital – a branch of N.I. Pirogov Russian National Research Medical University,   N.I. Pirogov Russian National Research Medical University
Published: December 2024

Myhre syndrome is an extremely rare genetic disease of connective tissue characterized by multisystem lesion, progressive and proliferative fibrosis, mental retardation. The pathogenesis is based on a mutation of the SMAD4 gene, which leads to the proliferation of abnormal fibrous tissues. The main manifestations of pathology are growth deficiency, peculiar facial features (short eye slits, hypoplasia of the middle third, prognathism), mental retardation, lesions of the musculoskeletal system, ophthalmological disorders, sclerodermic manifestations, hearing loss, pathology of the cardiovascular, respiratory system and other organs and systems. Etiotropic and pathogenetic therapy has not been developed at the moment, treatment is exclusively symptomatic.
The presented clinical case of a patient with Myhre syndrome clearly demonstrates the need for an interdisciplinary approach to the diagnosis and treatment of this disease. It should also be noted the importance of spreading knowledge about rare hereditary pathology among doctors of various specialties for timely diagnosis and selection of symptomatic therapy.
IDENTIFICATION OF HAIR OF HUMAN ORIGIN USING DIRECT POLYMERASE CHAIN REACTION
Authors: Tri Widodo Wimbuh , Masjkur Indah Nuraini , Huda Qurrota A’yunil , Yudianto Ahmad , Kristianto Sonny , Putri Rury Erina
Published: December 2024

Background: Hair is one of the human parts that is easily scattered and easy to obtain for testing. Direct PCR which is PCR without going through the DNA extraction process has been widely used in various fields. The cytochrome b gene is one of the genes located in mitochondrial DNA. The gene is unique in that it has a small variation within one species organism but has a large variation between species. Aims: c. Methods: Hair was heated at 600C for 10 minutes then the sample was used for the PCR template. PCR was performed using the cytochrome b gene. The results: The analysis showed that human hair could still be detected on day 30 using direct PCR using the cytochrome b gene. Conclusions: This result will simplify and save time in analysis in various fields related to hair shafts.
ALGORITMA PRIM DALAM PENENTUAN LINTASAN TERPENDEK DAN LINTASAN TERCEPAT PADA PENDISTRIBUSIAN BARANG PT.SUMBER ALFARIA TRIJAYA TBK PEKANBARU
Authors: Yana Hana Rezki , Rahmi Depriwana , Kurniati Annisah , Yuniati Suci
Published: December 2024

Penelitian ini meneliti tentang penentuan lintasan terpendek dan lintasan tercepat dalam pendistribusian barang PT. Sumber Alfaria Trijaya Tbk Pekanbaru dengan menggunakan Algoritma Prim. Data dan informasi yang mencakup semua lintasan yang menghubungkan alfamart-alfamart diperoleh melalui aplikasi google maps. Data mini digunakan untuk membangun model awal berupa graf berbobot terhubung. Dengan menggunakan Algoritma Prim, dilakukan optimalisasi model lintasan, sehingga diperoleh minimum spanning tree. Berdasarkan minimum spanning tree ini diperoleh lintasan terpendek dan lintasan tercepat dari PT.Sumber Alfaria Trijaya berturut-turut 25,5 km dan 50 menit.
Febre Chikungunya: uma análise clínica e epidemiológica do estado do Pará entre os anos de 2018 e 2022
Authors: Gomes Victor Alexandre Santos , Gomes Tamyres Cristine Mafra Gomes , Goto Lucicleide Kubiczewski , Farias Geovanna Caroline Silva de , Souza Maria Eduarda da Silva , Gomes Victor Thiago Moura , Gonçalves Michelly da Cruz , Lourido Jéssica Sabrina Rebelo
Published: December 2024

A Chikungunya, arbovirose transmitida pelos mosquitos Aedes aegypti e Aedes albopictus , tem causado preocupações devido à sua rápida disseminação e impacto na saúde pública. Com isso, caracteriza-se por febre intensa, dores articulares e sintomas incapacitantes. Por isso, este estudo tem por objetivo conhecer as características clínicas e epidemiológicas de pessoas diagnosticadas com Chikungunya no Estado do Pará no período de 2018 a 2022. Para isso, trata-se de um estudo ecológico, descritivo e transversal, baseado em dados do SINAN (DATASUS). Os resultados mostraram variação na incidência, com pico em 2018 e declínio posterior. Sendo que Belém registrou o maior número de casos, seguidos por Marituba e Ananindeua. Predominaram casos em mulheres, adultos acima de 15 anos, indivíduos autodeclarados pardos e com ensino médio completo. Houve predominância de diagnósticos laboratoriais e alta taxa de cura, mas 8.264 casos apresentaram evolução ignorada. Dessa forma, os dados destacam a necessidade de melhoria dos sistemas de notificação e implementação de estratégias direcionadas, especialmente em Belém e regiões próximas, considerando os grupos de risco identificados. Apesar dos avanços no diagnóstico e tratamento, as lacunas nos registros reforçam a importância de um monitoramento mais eficaz.
UPAYA KONSERVASI MANGGA KASTURI (Mangifera casturi Kosterm) SEBAGAI TUMBUHAN LANGKA KHAS KALIMANTAN SELATAN
Authors: Misnawati MIsnawati , Dewi Norminawati , Miliyati Dewi Fitria , Yuliyanti Wan
Published: December 2024

Mangga Kasturi (Mangifera casturi Kosterm) diidentifikasi sebagai spesies yang terancam punah di habitat aslinya. Tekanan yang besar dari eksploitasi hutan secara luas di Kalimantan. Pelestarian Mangga Kasturi dapat dilakukan melalui upaya in-situ di habitat aslinya dan ex-situ di luar habitat aslinya. Tujuan dari penelitian ini adalah untuk mengetahui upaya konservasi Mangga Kasturi sebagai langkah penyelamatan dari kepunahan. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kuatitatif untuk mendeskripsikan dan mencermati sumber data sehingga mampu memberikan pemaparan mengenai keadaan tanaman Mangga Kasturi (Mangifera casturi Kosterm) yang memiliki nilai konservasi tinggi. Mangga Kasturi (Mangifera casturi Kosterm) merupakan spesies endemik yang memiliki nilai ekonomi dan medis signifikan serta menghadapi ancaman kepunahan akibat deforestasi dan perubahan lingkungan di Kalimantan Selatan. Hasil penelitian yang telah dilakukan didapatkan upaya konservasi yang harus dilakukan agar Mangga Kasturi (Mangifera casturi Kosterm) tidak mengalami kepunahan adalah dengan konservasi in-situ dan ex-situ. Konservasi in-situ dilakukan dengan cara Identifikasi Habitat: identifikasi lokasi, cagar alam dan taman nasional, penyuluhan dan edukasi, penelitian dan monitoring, perlindungan hukum, dan melakukan penanaman kembali sesuai dengan kondisi habitat alaminya. Konservasi ex-situ sebagai upaya perlindungan dan pelestarian keanekaragaman hayati di luar habitat aslinya melalui langkah pengumpulan sampel seperti mengambil sampel biji, bibit, atau bagian tanaman lainnya dari habitat asli Mangga Kasturi untuk dibawa ke lokasi konservasi ex-situ, pendirian kebun raya dan taman safari, penanaman di kebun botani dan arboretum, pembentukan bank gen, program pembibitan dan distribusi, penelitian dan pengembangan, serta edukasi dan keterlibatan masyarakat tentang pentingnya konservasi Mangga Kasturi
Piezoelectric Energy Harvesting from the Thorax Vibration of Freely Flying Bees
Authors: Ma Zhiyun , Zhao Jieliang , Yu Li , Liang Lulu , Liu Zhong , Gu Yongxia , Wu Jianing , Wang Wenzhong , Yan Shaoze
Published: December 2024

Insect cyborgs have been proposed for application in future rescue operations, environmental monitoring, and hazardous area surveys. An energy harvester for insect carrying is critical to the long-lasting life of insect cyborgs, and designing an energy harvester with superior energy output within the load capacity of tiny flying insects is very important. In this study, we measured the thorax vibration frequency of bees during loaded flight conditions. We propose a piezoelectric vibration energy harvester for bees that has a mass of only 46 mg and can achieve maximum effective output voltage and energy density of 5.66 V and 1.27 mW/cm
3
, respectively. The harvester has no marked effect on the bees’ normal movement, which is verified by experiments of mounting the harvester on bees. These results indicate that the proposed harvester is expected to realize a self-power supply of tiny insect cyborgs.
Pengaruh Penggalian Tanah Untuk Industri Batu Bata Terhadap Sifat Fisika Tanah Pada Lahan Pertanian
Authors: Efriandi Efriandi
Published: December 2024

Tujuan dari penelitian ini adalah melihat perubahan sifat fisika tanah setelah dilakukan penambangan tanah untuk bahan baku batu bata. Metode yang digunakan dalam penelitian ini adalah dengan analisa laboratorium setiap sampel tanah yang diambil yaitu cuplikan tanah (± 2 kg) diambil dan diambil menggunakan ring sampel per jeluk tanah serta diberi kode/label untuk dianalisis : 1. Tekstur tanah, 2. BV Tanah, 3. BJ Tanah, 4. Karakteristik Lengas Tanah, 5. Permeabilitas Tanah, 6. Kemantapan Agregat, 7. Kadar Bahan Organik. Hasil dari penelitian ini menunjukkan adanya perubahan sifat fisika tanah setelah dilakukan penambangan. Tekstur tanah Inceptisol setelah ditambang berubah dari bertekstur geluh lempung pasiran menjadi geluh lempung debuan. Berat volume (BV) tanah dari rerata 1,56 g/cm3 menjadi rerata 1,10 g/cm3 sampai 1,36 g/cm3. Berat jenis (BJ) tanah dari rerata 2,06 g/cm3 menjadi rerata 1,70 g/cm3 sampai 1,92 g/cm3. Permeabilitas tanah dari agak cepat menjadi sangat cepat. Kemantapan agregat tanah dari mantap menjadi kurang mantap sampai tidak mantap. Kandungan bahan organik (BO) tanah dari sekitar 1,77%  menjadi sekitar 0,44% sampai 0,66%.
 
Kata kunci— Tanah, Sifat Fisika Tanah, Batu Bata
Blended Learning dan Aplikasinya di Era New Normal Pandemi Covid 19
Authors: Nurhadi Nunung
Published: December 2024

ABSTRAK
Saat ini indonesia sedang memasuki era “New Normal” dari pandemi Covid-19, dimana protokol kesehatan harus diimplementasikan pada setiap kegiatan termasuk kegiatan pelatihan. Blended learning merupakan salah satu model pelatihan yang didalamnya memadukan antara pembelajaran online dan pembelajaran offline yang dapat mengurangi kegiatan pengumpulan massa sebagai salah satu protokol kesehatan menghindari Covid-19. Blended learning tetap berorientasi pencapaian tujuan pelatihan yaitu peningkatan pengetahuan, keterampilan dan sikap. Pembelajaran online dapat meningkatkan wawasan dan pengetahuan, dan pembelajaran offline dapat meningkatkan keterampilan, khususnya pada materi spesifik yang keterampilan tidak otomatis didapatkan dari peningkatan pengetahuan. Kombinasi prosentase online dan offline atau tatap muka dapat disesuaikan dengan kebutuhan pelatihan. Blended learning dapat membuat biaya lebih efektif, hemat waktu, objek dapat digunakan kembali untuk dipelajari ulang dan fleksibel bagi peserta didik. Beberapa hal yang perlu dipersiapkan sebelum menjalankan blended learning diantaranya: penyediaan tenaga fasilitator yang memahami teknologi informasi dan komunikasi, penyediaan Learning Management Sistem (LMS), penyediaan fasilitas internet, perpustakaan digital, modifikasi bahan tayang sehingga lebih mudah dipahami dan membuat enjoy peserta didik dan mengantisipasi hal hal yang menghambat seperti peserta didik yang frustasi karena waktunya habis untuk mempelajari sistem.
Kata kunci : Blended Learning, Online, Offline, Tatap Muka, New Normal
ABSTRACT
Currently, Indonesia is entering the "New Normal" era of the Covid-19 pandemic, where health protocols must be implemented in every activity including training activities. Blended learning is a training model that combines online learning and offline learning that can reduce mass gathering activities as one of the health protocols to avoiding Covid-19. Blended learning remains oriented towards achieving the training objectives of increasing knowledge, skills and attitudes. Online learning can increase insight and knowledge, and offline learning can improve skills, especially on specific material for which skills are not automatically acquired from increased knowledge.The combination of online and offline or face-to-face percentages can be adjusted to the training needs. Blended learning can make it more cost effective, save time, objects can be reused for re-study and  flexible for participants.Some things that need to be prepared before running blended learning include: the provision of facilitators who understand information and communication technology, Learning Management Systems (LMS), internet facilities, digital libraries, modification of broadcast material that easier to understand and makes participants enjoy and anticipate inhibiting things such as frustrated participants because time is running out to learn the system.
Keyword : Blended Learning, Online, Offline, Face to face, New Normal
APPEARANCE OF INPARI IR NUTRI ZINC AND INPARI 32 IN LEBAK SWAMP LAND IN PALEMBANG SOUTH SUMATRA
Authors: Suparwoto Suparwoto
Published: December 2024

New superior varieties are one of the innovative technologies that are reliable for increasing rice productivity, both through increasing crop yields and tolerance to biotic and abiotic stresses . Generally, farmers in the Lebak swamp use high-yielding varieties that are self-propagated from year to year, which results in low production. Therefore, in this study, the Inpari IR Nutri Zinc variety was introduced which has advantages compared to other varieties in terms of zinc content, while Inpari 32 is already adaptive in the lebak swamp with a potential yield of 8-9 tons/ha. The purpose of this study was to determine the appearance of Inpari IR Nutri Zinc and Inpari 32 using the legowo row planting system 2:1 in the Lebak swamp. The research was carried out in Sei Selincah Village, Kalidoni Subdistrict, Palembang, South Sumatra, from April to September 2021 with an agro-ecosystem of the middle Lebak swamp. The technology introduced consisted of the Inpari IR Nutri Zinc and Inpari 32 varieties, legowo row planting spacing 2:1 (50x25x12.5 cm) and balanced fertilizer. Observation data included: plant height at harvest, number of productive tillers, panicle length, number of grain/panicle, number of pithy grain/panicle and productivity. Analysis of the financial feasibility of rice farming by calculating gross income or Total Revenue (TR) and net income or Net Revenue (NR). The TR and NR values ​​obtained are then used to measure the financial feasibility of farming using R/C ratio analysis. The results of the study showed that growth and yield components were not significantly different except for panicle length and productivity. The productivity of Inpari IR Nutri Zinc is 6.2 tons gkp/ha and Inpari 32 is 7.0 tons gkp/ha
Peningkatan Kualitas Kit Elisa Rabies Pusvetma
Authors: Mashelli Ekky Valinia Devia , Sjolichah Nur , Hartanti Febri
Published: December 2024

Enzym Linked Immunosorbent Assay (ELISA) merupakan salah satu alat uji untuk mendeteksi antibody. Teknik pengujian atau pemeriksaan berdasarkan atas ikatan antigen antibodi yang mana salah satu antigen atau antibodi dilabel dengan Enzym tertentu dan reaktan lainnya berikatan. Metode yang dilakukan dalam penelitian ini yaitu persiapan mikroplate (coating, blocking, washing) dan pengujian kit ELISA. Hasil uji serum kontrol positif, serum kontrol negatif, serum standart dan serum sampel yang menggunakan substrat label TMB dan Konjugat Protein A-HRP menunjukkan nilai OD yang lebih stabil dibanding dengan yang menggunakan substrat PNPP dan Konjugat Protein A-AP (Alkaline Phosphatase) dengan panjang gelombang 405 nm.
Rancangan Penyuluhan Pengembangan Agrowisata “Bumi Lumbung Pendem” Desa Pendem, Kec. Junrejo, Kota Batu
Authors: Wahyudi Levina Andilla , Sawitri Budi
Published: December 2024

Pengembangan agrowisata seminimal mungkin melibatkan dua peran penting didalamnya yakni pemerintah dan masyarakat sehingga menimbulkan sinergi positif dan berdampak pada ksejahteraan masyarakat desa tersebut. Tujuan penelitian ini adalah merancangan penyuluhan dan menganalisa peningkatan pengetahuan petani Desa Pendem terkait pengembangan agrowisata di Agrowisata “Bumi Lumbung Pendem”. Pendekatan penelitian yang digunakan adalah pendekatan kuantitatif. Populasi dan sampel penelitian yaitu petani Desa Pendem yang tergabung di Kelompok Tani Wiji Aji Bumi. Instrumen penelitian disusun dengan skala Guttman. Pengujian instrumen dilakukan dengan uji validitas dan reliabilitas Cronbach Alpha. Metode analisis data menggunakan statistik deskriptif dan uji t – dua sampel berpasangan. Setelah dilakukannya penyuluhan diketahui telah terjadi peningkatan pengetahuan petani dengan dibuktikan terdapat perbedaan signifikan sebesar 0,45 antara sebelum dan sesudah dilaksanakan penyuluhan.
Karakteristik Agronomis Sorgum Varietas Samurai 2 pada Sistem Ratun sebagai Bahan Baku Pakan Ruminansia
Authors: Harahap Anwar Efendi , Abdullah Luki , Karti Panca Dewi Manuhara , Despal Despal
Published: December 2024

Sorgum merupakan tanaman pakan dengan kemampuan adaptasi pada lingkungan yang memiliki suhu tinggi. Penelitian ini bertujuan untuk menilai karakteristik agronomis sorgum varietas Samurai 2 akibat perlakuan usia potong dan dosis pupuk urea yang berbeda pada setiap ratun. Penelitian ini menggunakan Rancangan Acak Lengkap Faktorial (3 x 3) dengan 4 ulangan. Faktor pertama adalah umur panen 80, 90, dan 95 hari, dan faktor kedua adalah dosis pupuk urea 200, 300, dan 400 kg ha-1. Hasil karateristik agronomis menunjukkan bahwa pemanenan primer pada sorgum varietas Samurai 2 menunjukkan bahwa usia potong berpengaruh nyata terhadap jumlah anakan dan terdapat interkasi antara usia potong dan dosis pupuk urea terhadap jumlah daun. Pada ratun 1 menujukkan bahwa lebar daun dan jumlah daun dipengaruhi usia potong. Selanjutnya ratun I memperlihatkan terjadi perbedaan (P<0,05) pada panjang daun, lebar daun, jumlah daun dan jumlah anakan akibat usia potong. Secara umum bahwa perlakuan usia potong berpengaruh terhadap kondisi agronomis sorgum varietas Samurai 2 pada setiap ratun. Penelitian ini berimplikasi pada penyediaan pakan ruminansia yang berkualitas dan berkelanjutan.